• 专利附录
  • 专利说明
  • 权利要求
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    • 专利摘要:
    Metrology system (2) for the management of air quality observation data, this system being configured to collect at least one observation data, and to associate with this observation data a quality code reflecting the exploitable nature of this observation data with respect to a predefined quality criterion, this system comprising: a data acquisition module (21); a centralized management module (22) for data; a module for presenting and broadcasting (23) data; and - transverse functional bricks (24): ○ data processing and production; ○ end-to-end data quality control; ○ intermediation in order to urbanize the architecture and to allow the exhibition of services.
    公开号:FR3020159A1
    申请号:FR1453498
    申请日:2014-04-17
    公开日:2015-10-23
    发明作者:Samia Benrachi；Jean-Charles Masse；Pascal Conrath；Vincent Dechandon
    申请人:Bull SA；
    IPC主号:
    专利说明:

    [0001] The invention relates to a geographic information system orientated metrology platform for managing observation data of one or more descriptive parameter (s) of a certain phenomenon. such as the quality of the air. The many activities carried out by man (in particular transport, industry, agriculture, heating, waste treatment) generate the rejection of many substances in the atmosphere, substances that can evolve by the game of chemical reactions. These substances can cause pollution that occurs inside and outside buildings. Air quality may vary according to local geographic patterns and weather conditions that play a major role in the concentration / dispersion of pollutants.
    [0002] Air quality is a public health issue and European and national legislation has gradually been put in place, for example: the law on air and the rational use of energy of 30 December 1996 which poses obligations to monitor air quality, set quality objectives, and inform the public; the legal obligations relating to the air quality indices (July 2004), the alert thresholds (October 2010), the inclusion of particles below 10 microns (2012). Means of observation, forecasting or description are implemented in different geographical areas to allow an objective characterization of the air quality. However, in the face of ever-changing regulations (eg monitoring of pollutants such as Chrome VI, phytosanitary products, new indicators, new action plans, increased frequency of 30 reports), the existing solutions show more of a limit, such as technological obsolescence, partial documentation, or many manual operations to compensate for shortcomings. An object of the invention is to provide a service platform capable of responding to these new challenges.
    [0003] Another object of the invention is to propose a metrology platform which, on the one hand, values the history of the data collected by the accredited bodies, and on the other hand makes it possible to report quality information at European and general public level. In other words, an object of the invention is to provide a platform that allows you to take the history, while being able to continuously collect new measurements in an unstructured database to respond in an information system geographical location, current and future consolidation requests. Another object of the invention is to provide a metrology platform that provides elasticity for the performance related to the sensor networks for measuring the parameters to be observed. Another object of the invention is to propose a metrology platform that anticipates the anticipated changes in the regulations and relies on a platform of services capable of responding to new challenges.
    [0004] Another object of the invention is to develop and host a "Big Data" solution for automatic storage, analysis, consolidation and dissemination of data from pollution sensors deployed in different geographical areas. Another object of the invention is to propose a structured system based on a data repository hosting the reference data of the air quality domain, this repository making it possible to centralize these data and to limit the redundancy. of data. Another object of the invention is to propose a metrology platform making it possible to control the quality of the data, in particular to implement controls on the quality of the data collected, and enabling B021 B001 FR - TQD to provide the quality of each data quality. given as a characteristic associated with this datum. Another object of the invention is to propose an interoperable metrology system for all the data and services that are to be shared, taking into account most of the technological standards and European regulatory texts relating to the observed data. Another object of the invention is to propose a metrology system presenting an architecture and a technical design allowing a level of availability and performance in adequacy with the expectations of producers and users in terms of quality of service. Another object of the invention is to propose an evolutionary metrology system so as to allow the addition of a module, new data sets, or a function with a minimum impact on the implemented architecture. implemented.
    [0005] For these purposes, the invention relates, according to a first aspect, to a metrology system for the management of observation data, this system being configured to collect at least one observation datum, and to associate this datum with observing a quality code reflecting the exploitable nature of this observation data with respect to a predefined quality criterion, this system comprising: a data acquisition module; a centralized data management module; a presentation and data dissemination module; and transverse functional bricks: o data processing and production; o end-to-end data quality control; o intermediation in order to urbanize the architecture and to allow the exhibition of services. Advantageously, the quality criterion is chosen from the list of the following criteria: the non-redundancy of the observation data, the coherence of the observation data according to at least one predefined rule, the integrity of the data of observation. B021 B001 EN - TQD Advantageously, the system is configured to trigger an alert following a comparison of the quality code with a predefined warning threshold. According to a second aspect, the invention relates to a metrology system of the above type, for the management of the observation data and the geographical information of the air quality, the data acquisition module comprising data receiving means and a data archiving unit and a data extraction and transformation tool. The system has, according to various embodiments, the following characters, if necessary combined: the presentation and data dissemination module comprises means of consultation via a human machine interface; the presentation and data dissemination module includes the generation of reports in XML format; the presentation and data dissemination module comprises means for automatic data export; the data extraction and transformation tool is a code generator, a specific code being generated for each data integration processing; - the data extraction and transformation tool uses a graphical interface based on Eclipse RCP; - the presentation and data dissemination module includes an orchestrator and an indexing engine for searches.
    [0006] Other objects and advantages of the invention will emerge in the light of the description of embodiments, given below with reference to the appended drawings in which: FIG. 1 illustrates a metrology platform; FIG. 2 illustrates a module of a metrology system according to one embodiment. In FIG. 1 is displayed a metrology platform comprising data sources 1, a metrology system 2 oriented Geographic Information System (GIS), and services rendered by the metrology system 2. B021 B001 EN - TQD Les Data sources 1 include data collection networks spread across different geographic locations. These data include raw data from sensors (continuous or spot measurements), manual samples analyzed in the laboratory, and / or validated measurements from a raw data validation process. The services 3 rendered by the metrology system 2 include data developed by the metrology system 2 in various forms (for example tables, reports, graphs), on geographical maps in order to facilitate the exploitation of this data to the business players, for example, a spatial analysis of air quality. For this, the metrology system 2 offers the possibility of interfacing with third-party systems and portals, and integrates a Human Machine Interface (HMI) so that stakeholders and business users, and partner systems can access information the quality of the air (eg collected, elaborated, or referential data). The metrology system 2 can also interface with a public web portal (eg www.icsqa.org) so that the general public also learns about the air quality.
    [0007] Partner systems in the field of air quality include, for example, regional modeling tools which require, for the execution of their own processes, the data developed by the metrology system 2. The metrology system 2a to contextualize measurements provided or retrieved from data sources 1: define the contextual data qualifying the measurement such as the sampling point, the site, the geographic coordinates, or the pollutant under observation. This definition is stored in a database called repositories; store measurements: collect and store the raw measurement data and the data validated by the accredited Air Quality Monitoring laboratories providing the measurements made in the field (for example, in France they are the Authorized Associations Surveillance Air Quality (AASQA)). These data can be verified (verification of the context of the measurement: sampling point, site, geographical coordinates, pollutant for example) then stored in a database (for example NoSQL BigData); calculate statistical data: produce statistical data by site (average, daily, annual concentrations of pollutants) and indicators of the impact of atmospheric pollutants; verify the conformity of data: ensure compliance and be informed of discrepancies in the regulatory requirements set, for example, by European Directive 2008/50 / EC Annexes 3 and 5; Disseminate the data: make the business data of the system available to the air quality monitoring and the public; supervise the park, that is to say all the geographical sites where the observed parameters are measured, by making available to the operators of the system dashboards informing them of measurement data integration alerts and referential data.
    [0008] Metrology system data 2 includes referential data here: it is the most stable data, which has a long life cycle, and is referred to as operational data. Among these referential data, the data describing the occupation of the air domain (for example measuring stations, measurement methods, pollutants, measuring devices), the data nomenclatures of the air domain ( for example the typology of the stations, the typology of the surveillance zones), and the external administrative data (for example geographical official code, external reference); measurement data or primary data: data measured by aggregated laboratories using capture or acquisition systems and transmitted to the national system. In other words, input measurement data from the national system are considered primary data; B021 B001 EN - TQD elaborated data, also called statistical data: data calculated from measurement data in order to provide regulatory data and indicators for qualifying air quality. These statistical data include, for example, average concentrations (hourly, daily, annual), the number of exceedances of limit values or target values, indicators describing the impact of air pollutants such as the Average Exposure Index (EMI). , the Air Quality Index (ATMO / IQA index).
    [0009] Indeed, the metrology system 2 is configured to collect and centralize the feedback of data (various measurements and samples). It is also configured to produce statistical data following the processing of data collected according to organizational, regulatory and geographical criteria, while taking into account referential data. The metrology system 2 collects any type of measurement either directly from sensors, probes, objects or from various existing databases. In particular, it is capable of processing a large amount of "BIG DATA" data, aggregated data into files, structured or unstructured data. The metrology system 2 processes this diverse collected data by transforming it into a single, open data model. It should be noted that throughout this treatment, the metrology system 2 offers end-to-end quality control of the data collected (coherence, integrity, data processing). As a result, stakeholders, partners and business users are made available consistent, reliable and in accordance with regulatory directives, in particular with regard to regulatory reporting activities, management of the measurement system and Alert management.
    [0010] The execution of a report includes the production of data in accordance with a predefined data scheme and format (for example in XM L), and the transmission of these data via an electronic reporting tool. B021 B001 EN - TQD It should be noted that each measurement data, raw or validated, presents a quality code of the data (or validity of the data) that reflects (or specifies) the usable nature of the data (non-compliant). redundancy, coherence, integrity for example). We also talk about the state of the data. Also, management rules make it possible to qualify the quality code of the data developed, assigned by the data producer, according to the quality codes of the primary data used for the calculation. For this, the metrology system 2 comprises: a data acquisition (or collection) module 21; a centralized management module 22 of data; a data presentation and dissemination module 23; and transverse functional bricks 24: o data processing and production (statistics, Air Quality activities); o end-to-end data quality control (consistency, compliance, duplicates, for example); o intermediation (ESB) to urbanize the architecture and allow the exhibition of services. The data presentation and dissemination module 23 includes a human-machine interface (HMI) allowing access to the business players to manage authorizations and security, for example to prohibit any unauthorized modification of the data; APIs to enable the integration of third-party systems such as the PREV'AIR system (forecasts and observations of air quality in France and in Europe) or modeling tools (regional or third-party) for data consultation and the availability of the results of the studies carried out on Air Quality; interfaces with consumer web portals (eg www.icsqa.org) for the consultation of information from the general public; a geographic information system to enable spatial analysis of air quality. B021 B001 FR - TQD Referring to Fig. 2, the data acquisition module 21 comprises data receiving means 212 and a data archiving unit 211 for storing raw data in preprocessing, and a tool extraction and transformation 213 of data (for example ETL type: Extract, Transform, Load) to make the raw data usable by the metrology system 2 (to put the data into collections to correspond to a chosen database ). The data extraction and transformation tool 213 (ETL) is responsible for extracting recent data: automatic, manual or valid raw measurements validated by authorized organizations such as Air Quality Monitoring - AASQA. This data extraction and transformation tool 213 (ETL) then pushes the extracted and transformed data to the various modules of the layers of the centralized data management module 22 which can be used by the presentation and dissemination module 23 of data. The data receiving means 212 for the data extraction and transformation tool 213 (ETL) make it possible to establish the connection with the data sources 1 of the aggregated laboratory mediations. Data sources 1 can be files of various types or Web Services provided by software packages (eg CRM, ERP, eCommerce), data warehouses, Data Marts. The transmission protocols between the data sources 1 and the data extraction and transformation tool 213 are of the FTP, HTTP, SOAP, SCP, JDBC and other Databases-oriented protocols type. Several data acquisition modes can be implemented, via the means 212 for receiving data by: loading (Uploading) files directly from a management portal; a direct connection to a shared directory (FTP, HTTP); a direct connection to data sources 1 via customization. For each data acquisition, a quality check is performed to ensure the integrity, compliance, consistency of the data. These checks and verifications can be automatic, manual (requiring verification of a business actor). A dataset can also be described by a set of metadata. Several metadata formats are supported including DCAT (Data Catalog Vocabulary) and INSPIRE (INfrastructure for SPatial InfoRmation in Europe). The data receiving means 212 stores the raw data in a legal archiving unit 211 in order to have in a first place the "input data without processing". These data are a copy of the data provided by the aggregated laboratories providing the measurements on air quality. Then, the source data is processed by the data extraction and transformation tool 213 (ETL) and thus transformed into a collection 214 (for example, a collection of measurements). The Data Extraction and Transformation Tool 213 (ETL) controls the format, syntax, and enrichment of data (for example, geocoding for data recovery). ETL 213 thus provides a unified data model at the output of this process. Enterprise Service Bus (ESB) 215 drives ETL 213 for these tasks. All the data sent by the ETL to the collection 214 pass into a "quality control" module of the transverse functional bricks 24. This quality control module determines the validation status of the data. First, a piece of data goes into the validation process. A test is then performed to determine whether this data is valid or not.
    [0011] In the event that the data is invalidated by the validation process of the "Quality Control" module, the data is sent to a "correction" collection. This collection allows to centralize all the invalidated data, not coherent or under awaiting later validation.
    [0012] If the validation process of the "Quality Control" module judges that the data is valid (automatic or manual validation), this data is identified as such and returns to a collection including "validated" data. If the validation process of the "Control B021 B001 EN - TQD Quality" module determines that the data is invalid / not consistent, this data is sent to the "Quality Control" correction process in the "Correction" collection. The quality criteria against which the data quality check is carried out (ie, that a quality code is associated with an observation data) may be the following: uniqueness (non-redundancy) ): data measured by the count of duplicates in relation to the total number of data; completeness: data measured by the number of fields filled in relation to the total number of fields for a given data. Mandatory fields impose a minimum level of completeness; coherence: data measured in accordance with the coherence rules defined for the object in question, for example checking that the end date is later than the start date, verifying that the location of a site is located on the site; common membership of the site; accuracy: data measured in accordance with the nomenclatures or standards (common codes, pollutant codes, for example), for example verification that the commune identifier is an existing identifier; compliance: data measured in accordance with the naming rules (for example, coding of measurement sites) or data format; integrity: data measured in accordance with object relationships, eg verification that the measurement site associated with the measurement series is referenced in the metrology system. Based on a categorization of quality controls according to these criteria, a quality monitoring table presents, for each type of data and for each data, the quality level for each of the criteria used. This table will thus identify the data that require effort to produce to achieve better data quality. B021 B001 EN - TQD The correction can be performed automatically or manually. Once this is done, the corrected data goes back into the "quality control" validation process. This mechanism makes it possible to check the validity of the data upstream and downstream of the correction. If the data passes the validity test then this one is identified as modified in the collection and the history of modifications of the data is inserted in the collection. The data can then be removed from the collection "correction" to optimize the space of the database. An orchestrator called "Business Process Management" (BPM) manages the ETL 213, and manages the tasks related to these processes. In the process of developing and validating statistical data, the "Data Generation" module searches for data in the "Validated Measures" collection. From these measurements, algorithms calculate statistics which are then stored in the statistical collection. The elaborated statistical data pass into the "Quality Control" module for data validation. If the statistical data elaborated are validated then these pass in the so-called collection of "statistics". If the data is invalidated, then the correction process described above is applied.
    [0013] Advantageously, the transverse functional bricks 24 allowing the control of the quality of the data, the processing and production of data (business activities), and the ESB (Enterprise Service Bus) intermediation. End-to-end data quality control is a cross-functional function of metrology system 2 that ensures and ensures end-to-end data quality control functions. The quality control of the data (transverse function described above), makes it possible to follow the life cycle of the data, to put in history the data, to ensure the control, the coherence of the data, namely the synchronization , compliance, integrity and completeness of the files. Checksheets are made available to the actors concerned on a given item, in particular in the business activities of the management of a measurement or calibration fleet (modification of the data or data B021 B001 FR - TQD missing), or level of reporting activities (data verification). The life cycle monitoring of the data (raw, validated, subsequent validation) is carried out thanks, among other things, to the logs of the extraction and data transformation tool 213, the data validation process (manual or automatic). At the output, these data are "identified as validated" in a database (preferably MongoDB) of the centralized data management module 22 and constitute the reference operational collection. Similarly, when data is detected as erroneous or missing, it will integrate the correction collection to be processed. At the output, this data will be identified as corrected. The changes (modifications of the data: the user who modified the data, the old value, for example), are then stored in the history in order to trace the evolution of this data. The outgoing flows of the metrology system 2 are the flows from the centralized management module 22 of operational data collection 214 (for example, validated measurements / statistics / referential collections and "correction" collections) to the presentation and dissemination module. 23 of data namely: the restitution of the data on a geographical map; the consultation of operational data via the HMI; report generation in XML format; automatic exports to third party partners (such as the PREV'AIR system or the EEA (European Environment Agency)); viewing raw data from the historical base. The quality control process is also available at the data retrieval level (data modification, validation, correction). A user can access GIS functions, consultation, management, reporting, according to his rights previously defined through the HMI. Depending on the module of the chosen HMI, specific B021 B001 FR - TQD collections (contained in the collection aggregate) are put to use by the metrology system 2. If the aggregated laboratories retransmit already transmitted data (revalidation process) ), the retransmitted data will also be stored in an archiving unit 211 and then replace the initially received data. Advantageously, the metrology system 2 natively supports many structured data formats (such as CSV, XLS, ShapeFile, GTFS). It is also possible to integrate specific formats via customization. The extraction and transformation tool 213 of the data is of the "code generator" type. For each data integration processing, a specific code is generated, which can be in Java or Perl. The data processed and the treatments carried out are therefore intimately linked. It uses a graphical interface based on Eclipse RCP, which allows the creation of data manipulation processes. It offers a very wide range of connectors: - software packages (ERP, CRM for example), databases, central servers, files, or Web Services to cover the growing disparity of sources; data warehouses, data stores, OLAP (Online Analytical Processing) applications for analysis, reporting, dashboard, our scorecarding for example; advanced ETL components stored locally, including chain manipulations such as slow-moving dimensions, automatic reference processing, bulk load support. The data extraction and transformation tool connectors 213 cover the main DBMSs (Oracle, DB2, MS SQL Server, PostgreSQL, MySQL) as well as the processing of all types of flat files (CSV, Excel, XML ), as well as reading and writing. The data extraction and transformation tool 213 facilitates the construction of queries in the databases by detecting the schema and the relationships between tables. B021 B001 EN - TQD The centralized data management module 22 includes a database. Advantageously, a "MongoDB" technology database makes it possible to avoid major upgrades of the database for modifications or additions of parameters. The database makes it possible to manipulate structured objects in JSON format for the binary (documentary BSON), without a predetermined schema. Concretely the data take the form of documents stored in collections 214, a collection can thus contain any number of data. This database will be able to store both collected and developed measurements as well as referential type data (Territorial, Instrumentation, Monitoring Device and Pollutants). As a result, at least four collections 214: measurements, statistics, referential and corrections with their associated data models. For rich data models, it is possible to implement advanced search / navigation functions in this database such as geographic search, full text criteria, numerical criteria, faceted navigation. For simpler data models, it will be possible to implement as many fields as necessary: - numeric fields for storing index values (eg NO2, 03), - "timestamp" field, - text field (comment ), - fields allowing the link with the repository The fields making the link with the models allow a cross search between the elements of the repository and the data elements collected. The centralized management module 22 of the data further comprises a workflow engine. This workflow engine is an orchestrator called "Business Process Management" (BPM) to track processes triggered by internal and external events (business players, sensor events) and orchestrate the actions to be conducted. The BPM gives a layer of administration at the process level, and allows B021 B001 FR - TQD to supervise the good behavior of the processes of the whole metrology system. Workflow can be implemented in order to: integrate the data delivered by the acquisition layer; to "push" update actions to external systems to synchronize data; retrieve additional data in systems external to the solution; trigger alarms or notifications to front office applications based on previously configured business rules; Apply business rules for data processing The workflow and business rules are configurable and have native functions such as complex processes based on the application of configurable business rules capable of ensuring serialized exchanges, in parallel with external systems, a sequencer / scheduler, or a security based on roles. In addition, the centralized data management module 22 includes an indexing engine for various searches, consultations and filtering. This indexing engine makes it possible to index the data and the documents in order to be able to restore them quickly in the event of research. This engine makes it possible, in the data presentation layer, to supply both a Human Machine Interface (HMI) and an API for tools, or portals, for example. The indexing engine promotes distributed extraction, transformation and enrichment of raw, structured or unstructured data, up to the provision of search services accessible from an XML / HTTP API. It provides the foundation for deploying all types of search applications: cross-search applications, information monitoring, business applications or business intelligence.
    [0014] The synchronization between the different data sources 1 (for example, those of AASQA and those of the national system) is ensured by the functions of notifications (integrations of the data) of the tool of extraction and transformation 213 (ETL) and of the MongoDB database of the B021 B001 FR - TQD centralized data management module 22. The completeness checks (per station, per day) are implemented by the data extraction and transformation tool 213 (ETL) and the centralized management module 22 of the data. Finally, the reporting functions of these controls are available at the data extraction and transformation 213 (ETL) or the MongoDB database management tool. The history of external data imports and the result of each of these imports, the consultation of the history of a referential data are performed by the functions of the referential data management layer.
    [0015] Data entry and validation workflows are provided by the BPM. The transverse functional bricks 24 comprise a data processing and production module. This module represents the operational activities of the business players such as: the production of statistics (index, rate, average calculations), reporting (regulatory), management of the measurement system, alert management, program monitoring Air Quality Monitoring, monitoring of Plans and Programs, management of financial aid. Data processing and production is a transversal function that also calls several other modules of the metrology system 2 for the execution of these tasks, in particular: - the BPM to orchestrate and control the end-to-end execution of the business processes these operational activities; - centralized management of data to recover validated raw measurements in order to process or produce statistical data; - the presentation / presentation module of the data to expose the data in the appropriate format. From the reference collection (that is, the validated measures), the BPM uses calculation functions (average, index, rate by example) to establish these statistical data. These data, as well as the raw data, are subject to validation / correction (if necessary) prior to their integration into the operational reference collection. B021 B001 EN - TQD In one embodiment, regulatory reporting is produced in an XML file template (e-reporting). Advantageously, the metrology system 2 integrates the management of a measurement system, namely the detection of the non-reporting of data from a measurement sensor (failure, out of service, for example). Where appropriate, the metrology system 2 warns the designated business actor for verification. The metrology system 2 also generates a periodic report on the state of the measurement system. In particular, the metrology system 2 integrates thresholds and triggering alert, following a comparison of the quality code of a collected observation data to a predefined alert threshold, to a designated business actor. It also generates a periodic report on the list of alerts issued. Advantageously, the metrology system 2 integrates ESB (Enterprise Service Bus) intermediation in order to urbanize the architecture and to allow the exposure of air quality services on the one hand and to connect the modules to each other: acquisition, centralized data management, data processing and production through Push / Pull mechanisms.
    [0016] To integrate the presentation and the dissemination of data for the business actors through a simple Human Machine Interface (HMI), it is at the workstation level that are integrated the various components necessary on the one hand for the presentation of the data, and on the other hand, decision-making and implementation of actions associated with a standard process or event. The components to be integrated at the workstation level are for example intended for the following functions: management of authorizations and associated rights according to the role and the position of each business actor; read or write access to data; consolidation of measures, statistics; implementation and execution of business processes (task / action basket); B021 B001 EN - TQD application integration with consolidation of information from the partner system; querying and unified search for access to information and data.
    [0017] In addition, the notions of roles, functions and geographical assignments are taken into account in order to finely model the access rights and privileges of the different users, thus making it possible to model an organization. The generic metrology platform natively has a Geographic Information System with a storage of geographical objects. Thanks to the data processing and production layer, the BPM (task orchestrator) and the BSE (transport of information), the data are reported on maps along the water, allowing the business actor to carry out the spatial analysis of this information.
    [0018] The referential data, the measurement data and the calculated data are for the most part geospatial. They can be either geolocated by a point (for example, station, sampling point) or represented geographically on a map (for example, administrative unit, ZAS). Thanks to the geographical information system, the metrology system 2 manages the geometric component of each geographic datum. The geometric component of each datum consists of: the geometric representation of the datum (point, line, polygon, multipolygon); the projection system in which the geometric representation is defined. Based on this geometric component of the data, the metrology system allows geometric operations: data mapping overlay, data intersection, data inclusion, data union, geographic data neighborhood, distance calculation, surface calculation. B021 B001 EN - TQD These operations will also make it possible to carry out spatial coherence checks such as the inclusion of a point in a polygon (for example, to verify that a station is on the territory of the associated municipality), or inclusion of a polygon in another polygon.
    [0019] In particular, geographical representation is used in the reporting of data to the European Commission. For each datum of a geographical nature, the system associates its geographical representation with it. The new reporting modalities dictated by the 2011 Decision recommend that the geographical coordinates of the data be transmitted in the ETRS89 projection system. In order to meet these reporting requirements, the metrology system offers the following functionalities: generation of geographic objects in GML 3.2 format; generation of geographical objects in shapefile format; conversion tools between the different projection systems (such as ETRS89, Lambert 93, or WGS84). It follows that the metrology system 2 described above makes it possible to collect and centralize all the data of the air quality monitoring device (measurement data, reference data) in a single database; produce statistical data from the collected data according to organizational, regulatory and geographical criteria; data quality control over the entire data processing chain; ensure consistency between national level data and locally measured data; trace the life cycle as well as the history of the associated versions and modifications of measurement data or reference data; to make available to the aggregate air quality monitoring laboratories all the air quality data that may be useful for the exercise of their activity in their surveillance territory; to provide the State services with the data needed to monitor the quality monitoring policy in the different geographical areas of the territory; to make available partner systems of the Air Quality Domain (ex: PREVAIR and regional modeling platforms) the data necessary for the execution of their process, the results of which contribute to informing the quality of the air on the national territory; to select, control, format, export and disseminate the necessary data, and to carry out technical studies relating to the monitoring system; configure and centralize observation data that can be made available to the public, researchers and design offices via a common portal. Advantageously, the Metrology System 2 ensures the provision of data to stakeholders, partners and business users in accordance with the INSPIRE (INfrastructure for Strategic Information in Europe) regulatory requirements, particularly on the structuring of spatial geographic information. Advantageously, the various embodiments described above rely on an integration architecture which provides a large library of functionalities and components which has the effect of: simplifying access to applications and data; centralize the management of rights and entitlements; provide consolidated indicators (dashboards); to provide easy and less expensive integration; to implement integrations with the various entry / exit points of the system ("Interface Media Management" functions). Advantageously, the metrology system described above controls the quality of the data throughout the life cycle of this data, whether for the measurement data, the reference data or the data B021 B001 FR - TQD developed. Indeed, for each operation performed on a data item (measurement data, referential or elaborated), the system traces the nature of the operation (creation, modification, control, change of version), the result of the operation, the date and the time of the operation and the user at the origin of this operation. In addition, for each data consulted in the metrology system, it is possible to present the list of operations performed on the data. More generally, the metrology system described above makes it possible to store, analyze, consolidate and diffuse any other data under observation concerning other phenomena / resources than air quality. It follows that this metrology system is advantageously generic and can be used for the management of observation data of one or more descriptive parameter (s), for example, of the weather. B021 B001 EN - TQD
    权利要求:
    Claims (10)
    [0001]
    REVENDICATIONS1. Metrology system (2) for observation data management, this system being configured to collect at least one observation datum, and to associate with this observation datum a quality code reflecting the exploitable nature of this datum. observation with respect to a predefined quality criterion, this system comprising: a data acquisition module (21); a centralized data management module (22); a presentation and broadcasting module (23) of data; and transverse functional bricks (24): o processing and generating data; o end-to-end data quality control; o intermediation in order to urbanize the architecture and to allow the exhibition of services.
    [0002]
    2. metrology system (2) according to claim 1, wherein the quality criterion is selected from the list of the following criteria: the non-redundancy of the observation data, the coherence of the observation data in accordance with less a predefined rule, the integrity of the observation data.
    [0003]
    3. metrology system (2) according to claim 1 or 2, configured to trigger an alert following a comparison of the quality code to a predefined alert threshold.
    [0004]
    4. metrology system (2) according to any one of claims 1 to 3, for the management of the observation data and the geographical information of the air quality, the data acquisition module (21) comprising data receiving means (212) and a data archiving unit (211) and a data extraction and transformation tool (213).
    [0005]
    5. Metrology system (2) according to claim 4, wherein the data presentation and dissemination module (23) comprises means for consultation via a human machine interface. B021 B001 EN - TQD
    [0006]
    The metrology system (2) according to claim 4 or 5, wherein the data presentation and dissemination module (23) comprises generating reports in XML format.
    [0007]
    7. Metrology system (2) according to any one of claims 4 to 6, wherein the data presentation and dissemination module (23) comprises automatic data export means.
    [0008]
    The metrology system (2) according to any one of claims 4 to 7, wherein the data extraction and transformation tool (213) is a code generator, a specific code being generated for each processing of integration of data.
    [0009]
    9. metrology system (2) according to claim 8, characterized in that the data extraction and transformation tool (213) uses a graphical interface based on Eclipse RCP.
    [0010]
    The metrology system (2) according to any one of claims 4 to 9, wherein the data presentation and dissemination module (23) comprises an orchestrator and an indexing engine for searches. B021 B001 EN - TQD
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    同族专利:
    公开号 | 公开日
    EP3132410A1|2017-02-22|
    FR3020159B1|2018-03-02|
    WO2015158998A1|2015-10-22|
    CN106462875A|2017-02-22|
    US20170039235A1|2017-02-09|
    引用文献:
    公开号 | 申请日 | 公开日 | 申请人 | 专利标题
    US20010029535A1|2000-03-25|2001-10-11|Motohisa Hirano|Method and system for providing environmental information on network|
    US20040103139A1|2000-03-30|2004-05-27|United Devices, Inc.|Distributed processing system having sensor based data collection and associated method|
    US8359288B1|2005-12-30|2013-01-22|Dp Technologies, Inc.|Method and apparatus to utilize sensor, monitor, device data based on location|
    CN102032951A|2009-09-25|2011-04-27|无锡华润矽科微电子有限公司|Air quality detector|
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    US10810869B2|2017-02-24|2020-10-20|Particles Plus, Inc.|Crowdsourced air quality monitoring system|
    CN109063964A|2018-07-02|2018-12-21|浙江百先得服饰有限公司|A kind of platform data processing system|
    CN110793807A|2019-11-21|2020-02-14|吉林师范大学|Automatic acquisition device for field geographic information|
    法律状态:
    2016-03-23| PLFP| Fee payment|Year of fee payment: 3 |
    2017-03-22| PLFP| Fee payment|Year of fee payment: 4 |
    2018-03-22| PLFP| Fee payment|Year of fee payment: 5 |
    2019-04-24| PLFP| Fee payment|Year of fee payment: 6 |
    2020-04-29| PLFP| Fee payment|Year of fee payment: 7 |
    2021-04-27| PLFP| Fee payment|Year of fee payment: 8 |
    优先权:
    申请号 | 申请日 | 专利标题
    FR1453498A|FR3020159B1|2014-04-17|2014-04-17|METROLOGY SYSTEM OF AIR QUALITY|
    FR1453498|2014-04-17|FR1453498A| FR3020159B1|2014-04-17|2014-04-17|METROLOGY SYSTEM OF AIR QUALITY|
    CN201580027442.8A| CN106462875A|2014-04-17|2015-04-09|Air quality metrology system|
    US15/304,572| US20170039235A1|2014-04-17|2015-04-09|Air quality metrology system|
    EP15718556.2A| EP3132410A1|2014-04-17|2015-04-09|Air quality metrology system|
    PCT/FR2015/050955| WO2015158998A1|2014-04-17|2015-04-09|Air quality metrology system|
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