CN113884756B - Electric energy metering edge acquisition device and method - Google Patents
Electric energy metering edge acquisition device and method Download PDFInfo
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- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
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Abstract
The application discloses an electric energy metering edge acquisition device and method, wherein the device comprises: the power module is used for providing a stable power supply for the intelligent edge gateway; the system core computing module is used for providing hardware required by an operating system and processing and data computing capacity of external interface signals for the intelligent edge gateway; and the expansion module is used for customizing the peripheral interface with the added requirement through the field programmable gate array FPGA and managing the peripheral interface. The application can realize the fusion of the physical form and the property of the running instrument and equipment; optimizing laboratory resource allocation, standardizing and guiding laboratory activities; completing real-time edge calculation and coincidence judgment of test detection result data; the application is a main embodiment means and tool of a digital metering system, is the digital expression of electric energy metering detection technology and core knowledge, is the industrial APP closest to the detection service object, and can promote the standardization and digital construction of the metering system.
Description
Technical Field
The application relates to the technical field of electric energy metering, in particular to an electric energy metering edge collecting device and method.
Background
The verification and calibration of the electric energy metering appliance are important links of normal operation of an electric power market, and are important bases for guaranteeing fairness, fairness and science of electric energy metering. At present, the automation degree of the instrument and equipment for calibrating and calibrating the electric energy metering appliance is low, the communication protocol and the data record are heterogeneous in multiple sources, and the collection, processing, recording, storage and retrieval efficiency of test detection results is low and the error rate is high.
With the deepening of new generation information technology with digitization as a core, the metering edge side quality activities based on software definition become more controllable, more efficient and more accurate. Accordingly, there is a need for an electrical energy metering edge collection device and method.
Disclosure of Invention
The application provides an electric energy metering edge acquisition device and method, which aim to solve the problem of how to realize electric energy metering edge acquisition.
In order to solve the above-mentioned problems, according to an aspect of the present application, there is provided an electric energy metering edge collecting device, the device comprising: the system comprises a power supply module, a system core computing module and an expansion computing module; wherein,
the power module is used for providing a stable power supply for the intelligent edge gateway;
the system core computing module is used for providing hardware required by an operating system and processing and data computing capacity of external interface signals for the intelligent edge gateway;
the expansion module is used for customizing the peripheral interface with the added requirement through the field programmable gate array FPGA and managing the peripheral interface.
Preferably, wherein the power module comprises: a rectifier and a filter; the rectifier is used for converting alternating current into direct current after rectification, and outputting the direct current to realize conversion from AC to DC; the filter comprises a filter circuit and a voltage stabilizing circuit, wherein the filter circuit is used for removing alternating current clutter signals in direct current power supply signals, and the voltage stabilizing circuit is used for enabling the power supply module to stably output direct current.
Preferably, the system core computing module includes: a core CPU and peripheral circuitry; the CPU provides core computing capability, and the peripheral circuit comprises a clock chip and an interface module, which are used for realizing access functions of a memory and other interfaces; the system core computing module is self-contained with USB, COM, HDMI/DP, GPIO and/SATA peripheral interfaces.
Preferably, the expansion module includes: an FPGA computing chip and a peripheral interface; wherein, the FPGA computing chip includes: the system comprises a programmable input/output unit, a configuration logic block, a digital clock management module, a RAM, wiring resources, an embedded special hard core and a functional unit embedded in a bottom layer, wherein the programmable input/output unit is used for realizing unified management of peripheral expansion ports; the peripheral interface includes: and a communication module interface.
According to another aspect of the present application, there is provided a method of electrical energy metering edge collection, the method comprising:
the electric energy metering edge acquisition device is connected to the Internet of things sensing network to determine a detection object, and a detection task, a detection project and detection standard knowledge metadata are acquired from a server;
performing a test according to the detection task and the detection item, acquiring instrument equipment and environment sensing information from instrument equipment and a sensing terminal, and acquiring test detection result data;
and carrying out edge calculation according to the test detection result data and the detection standard knowledge metadata, and determining a compliance judgment result.
Preferably, the detection standard knowledge metadata comprises identification information, coverage information, content information, maintenance information, limit information, data quality information, acquisition information and distribution information; wherein,
the representation information represents basic description information of a unique identification detection knowledge data set, and comprises a data set name, a data set release date, a data set abstract, a data set provider, keywords, data set classification and data volume of the detection knowledge information;
the coverage information represents description information of data coverage, and comprises a spatial range and a time range of detection knowledge information;
the content information represents description information of data content characteristics;
the maintenance information represents information about update frequency and update range of the data set;
the restriction information representing legal and security restriction information for accessing and using the data set, and information disclosure properties of the data set;
the data quality information represents description information of data set quality evaluation, and comprises relevant data log description information in the process of detecting knowledge information production;
the acquired information represents detailed information acquired by detecting the knowledge data set;
the distribution information represents path distribution format information for acquiring the detection knowledge data set.
Preferably, wherein the method further comprises:
constructing a method for sensing the state of the software-defined edge side instrument equipment;
the method for constructing the mechanism model and the object resource library of the software definition equipment and the intelligent internet of things terminal is used for forming a digital fusion strategy for operating the physical form and the property of the instrument equipment;
constructing a method for detecting activity behavior specifications by software definition to form electric energy metering detection standard knowledge metadata;
building an industrial application program for presetting a detection activity operation scene and a detection object, and providing a laboratory resource optimal configuration strategy;
and constructing a software-defined detection object data driving model and a detection result edge calculation method, and determining an edge calculation and a compliance judgment strategy according to the collected test data.
Preferably, the edge calculation is performed according to the test detection result data and the detection standard knowledge metadata, and the determining of the compliance determination result includes:
based on test detection result data acquired by the edge side, different condition factor values are obtained according to the detection standard knowledge metadata, the condition factor values are compared with a preset compliance judgment threshold value, and if the condition factor values are larger than the preset compliance judgment threshold value, the edge side determines that the compliance judgment result is that the condition factor values do not meet the requirement; otherwise, the edge side determines the compliance determination result to be that the condition factor value meets the requirement.
Preferably, wherein the different conditional factor values comprise: temperature, humidity, voltage, current, test parameters and reference.
The application provides an electric energy metering edge acquisition device and method, which can realize the fusion of a plurality of objects of physical forms and properties of running instruments and equipment; optimizing laboratory resource allocation, standardizing and guiding laboratory activities; completing real-time edge calculation and coincidence judgment of test detection result data; the application relates to a digital metering system main embodiment means and tools, which are digital expression of electric energy metering detection technology and core knowledge, and are industrial APP closest to detection service objects, application of a software-defined electric energy metering edge acquisition method and device and ecological construction of the electric energy metering industrial APP, so that each stage of metering mechanism can release high-end manpower resources for metering, precipitate metering knowledge and promote standardization and digital construction of the metering system.
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Exemplary embodiments of the present application may be more completely understood in consideration of the following drawings:
fig. 1 is a schematic structural view of an electric energy metering edge collecting device 100 according to an embodiment of the present application;
FIG. 2 is a block diagram of an electrical energy metering edge collection device according to an embodiment of the present application;
FIG. 3 is a flow chart of a power metering edge collection method 300 according to an embodiment of the present application;
FIG. 4 is a schematic diagram of detecting standard knowledge metadata in accordance with an embodiment of the application;
fig. 5 is a flow chart of a method of collecting an edge of an electrical energy meter according to an embodiment of the application.
Detailed Description
The exemplary embodiments of the present application will now be described with reference to the accompanying drawings, however, the present application may be embodied in many different forms and is not limited to the examples described herein, which are provided to fully and completely disclose the present application and fully convey the scope of the application to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the application. In the drawings, like elements/components are referred to by like reference numerals.
Unless otherwise indicated, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art. In addition, it will be understood that terms defined in commonly used dictionaries should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
Fig. 1 is a schematic structural view of an electric energy metering edge collecting device 100 according to an embodiment of the present application. As shown in fig. 1, an electric energy metering edge collecting device 100 according to an embodiment of the present application includes: a power module 101, a system core computing module 102, and an extension computing module 103.
Preferably, the power module 101 is configured to provide a stable power supply for the intelligent edge gateway.
Preferably, wherein the power module comprises: a rectifier and a filter; the rectifier is used for converting alternating current into direct current after rectification, and outputting the direct current to realize conversion from AC to DC; the filter comprises a filter circuit and a voltage stabilizing circuit, wherein the filter circuit is used for removing alternating current clutter signals in direct current power supply signals, and the voltage stabilizing circuit is used for enabling the power supply module to stably output direct current.
Preferably, the system core computing module 102 is configured to provide the intelligent edge gateway with hardware required by an operating system and processing and data computing capabilities of external interface signals.
Preferably, the system core computing module includes: a core CPU and peripheral circuitry; the CPU provides core computing capability, and the peripheral circuit comprises a clock chip and an interface module, which are used for realizing access functions of a memory and other interfaces; the system core computing module is self-contained with USB, COM, HDMI/DP, GPIO and/SATA peripheral interfaces.
Preferably, the expansion module 103 is configured to customize the peripheral interface with the added requirement through a field programmable gate array FPGA, and manage the peripheral interface.
Preferably, the expansion module includes: an FPGA computing chip and a peripheral interface; wherein, the FPGA computing chip includes: the system comprises a programmable input/output unit, a configuration logic block, a digital clock management module, a RAM, wiring resources, an embedded special hard core and a functional unit embedded in a bottom layer, wherein the programmable input/output unit is used for realizing unified management of peripheral expansion ports; the peripheral interface includes: and a communication module interface.
Referring to fig. 2, in the present application, a power module provides a stable power supply for an intelligent edge gateway. The power supply module consists of a rectifier and a filter, wherein the rectifier is integrated by a rectifying circuit, and 220V alternating current is rectified to be changed into direct current for output, so that the conversion of AC-DC is realized; the filter is composed of a filter circuit and a voltage stabilizing circuit, the filter circuit removes alternating current clutter signals of direct current power supply signals, and the voltage stabilizing circuit stabilizes the power supply output.
And the system core computing module provides hardware required by an operating system, processing of external interface signals and various data computing capacities for the intelligent edge gateway. The system core computing module consists of a core CPU and a peripheral circuit module, wherein the CPU provides core computing capability, and the peripheral circuit module comprises a clock chip, an interface module and the like and mainly realizes the access function of a memory and other interfaces. The core computing module is provided with peripheral interfaces such as USB, COM, HDMI/DP, GPIO, SATA.
The expansion computing module is used for overcoming the defect of limited gate circuit number of the original programmable device in order to solve the defect of customizing a circuit of the core computing module, adding a required peripheral interface through FPGA customization, and realizing the management function of the peripheral interface. The expansion calculation module consists of an FPGA calculation chip and a peripheral interface module, wherein the basic structure of the FPGA comprises a programmable input/output unit, a configurable logic block, a digital clock management module, a RAM (random access memory), wiring resources, an embedded special hard core, and an embedded functional unit in a bottom layer, so that unified management of peripheral expansion ports is realized. The peripheral computing module mainly comprises wireless signal expansion modules such as WiFi, BT, zigbee, lora and 433M and other customized wired signals such as A/D input/output and serial ports.
The edge acquisition device provided by the application consists of a data acquisition hardware interface with various communication protocols, is communicated with instrument equipment downwards, is exchanged with intelligent laboratory platform data upwards, and has the capabilities of acquiring, storing and calculating edge information data.
Fig. 3 is a flow chart of a power metering edge collection method 300 according to an embodiment of the present application. As shown in fig. 3, the method 300 for collecting the electric energy metering edge according to the embodiment of the application includes the following steps:
step 301, an electric energy metering edge acquisition device is connected to an internet of things sensing network, a detection object is determined, and a detection task, a detection project and detection standard knowledge metadata are acquired from a server.
Preferably, the detection standard knowledge metadata comprises identification information, coverage information, content information, maintenance information, limit information, data quality information, acquisition information and distribution information; wherein,
the representation information represents basic description information of a unique identification detection knowledge data set, and comprises a data set name, a data set release date, a data set abstract, a data set provider, keywords, data set classification and data volume of the detection knowledge information;
the coverage information represents description information of data coverage, and comprises a spatial range and a time range of detection knowledge information;
the content information represents description information of data content characteristics;
the maintenance information represents information about update frequency and update range of the data set;
the restriction information representing legal and security restriction information for accessing and using the data set, and information disclosure properties of the data set;
the data quality information represents description information of data set quality evaluation, and comprises relevant data log description information in the process of detecting knowledge information production;
the acquired information represents detailed information acquired by detecting the knowledge data set;
the distribution information represents path distribution format information for acquiring the detection knowledge data set.
Preferably, wherein the method further comprises:
constructing a method for sensing the state of the software-defined edge side instrument equipment;
the method for constructing the mechanism model and the object resource library of the software definition equipment and the intelligent internet of things terminal is used for forming a digital fusion strategy for operating the physical form and the property of the instrument equipment;
constructing a method for detecting activity behavior specifications by software definition to form electric energy metering detection standard knowledge metadata;
building an industrial application program for presetting a detection activity operation scene and a detection object, and providing a laboratory resource optimal configuration strategy;
and constructing a software-defined detection object data driving model and a detection result edge calculation method, and determining an edge calculation and a compliance judgment strategy according to the collected test data.
Firstly, constructing a state sensing method of a software-defined edge side instrument, selecting an alternating current-direct current electric energy standard device in an electric energy measurement standard room, and connecting an edge acquisition device with the standard device through an RS485 communication interface; then, constructing a mechanism model and an object resource library of the software definition equipment and the intelligent internet of things terminal, acquiring a detection task, a detection type, a detection scheme, a detection project and a test condition from an intelligent laboratory platform according to the mechanism model and a detection object, and selecting a corresponding detection result data model from the object resource library by using an edge acquisition device according to an information interaction instruction of the information interaction instruction and an AC/DC electric energy standard device; then, constructing a method for detecting activity behavior specification by software definition, extracting digital characteristics of detection knowledge such as detection standards and operation regulations of an AC/DC electric energy meter standard device, and completing a characteristic quantity entity and a metadata model formed by the characteristic quantity entity, so as to realize behavior specification of laboratory factors such as laboratory personnel, equipment, samples, environment and places; then, constructing an AC/DC standard electric energy meter test detection activity scene, optimally configuring required laboratory resources, selecting detection software and industrial APP deployed on an edge acquisition device, and carrying out a test; and finally, constructing a software-defined detection object data driving model and a detection result edge calculation method to acquire laboratory environment sensing data such as temperature, humidity, voltage and current, acquire detection result data corresponding to the test parameters, and perform preprocessing, calculation, modification and result compliance judgment on the test data. The intelligent laboratory platform is a national network metering center laboratory digital platform and has holographic state sensing and resource centralized control capability of the whole test detection process and the whole elements.
The software-defined knowledge metadata is expression of test detection technology and knowledge in each professional field of electric energy metering, test detection operation is analyzed to be digital characteristics in aspects of detection objects, detection standards, detection projects, test conditions, test methods and the like, definition and modeling of various characteristic quantity entity and element composition relations are completed, an industrial APP for electric energy metering detection activity and edge collection is formed by using a software-defined means, and various activities in the detection process are completed by using knowledge-driven instruments and equipment in the fields in a standardized mode. Knowledge metadata is advantageous over traditional relational databases in having high dimensional relational retrieval. As shown in fig. 4, detecting knowledge metadata includes:
identification information: the unique identification detects basic description information of the knowledge data set, including information such as data set name, data set release date, data set abstract, data set provider, keywords, data set classification, data volume and the like of the knowledge information.
Coverage information: the description information of the data coverage includes the spatial range and the time range of the detection knowledge information.
Content information: description information of the data content characteristics.
Maintenance information: information about the update frequency and update range of the data set.
Restriction information: legal and security restrictions information for access and use of the data sets, and information disclosure properties for the data sets.
Data quality information: descriptive information of the quality evaluation of the data set comprises information of related data log specification in the production process of detecting knowledge information.
Acquiring information: detailed information acquired by the knowledge data set is detected.
Distributing information: the approach distribution format information of the detected knowledge data set is acquired.
According to the application, the detection object is determined by connecting the electric energy metering edge acquisition device to the Internet of things sensing network, and the detection task, the detection project and the detection standard knowledge metadata are acquired from the server.
And step 302, performing a test according to the detection task and the detection item, acquiring instrument and environment sensing information from the instrument and the sensing terminal, and acquiring test detection result data.
And step 303, performing edge calculation according to the test detection result data and the detection standard knowledge metadata, and determining a compliance judgment result.
Preferably, the edge calculation is performed according to the test detection result data and the detection standard knowledge metadata, and the determining of the compliance determination result includes:
based on test detection result data acquired by the edge side, different condition factor values are obtained according to the detection standard knowledge metadata, the condition factor values are compared with a preset compliance judgment threshold value, and if the condition factor values are larger than the preset compliance judgment threshold value, the edge side determines that the compliance judgment result is that the condition factor values do not meet the requirement; otherwise, the edge side determines the compliance determination result to be that the condition factor value meets the requirement.
Preferably, wherein the different conditional factor values comprise: temperature, humidity, voltage, current, test parameters and reference.
According to the application, the edge acquisition device acquires detection tasks, detection types, detection schemes, detection projects and test conditions from the intelligent laboratory platform, and an information interaction instruction of the detection tasks, the detection projects and the test conditions with the AC/DC power standard device, selects a corresponding detection result data model from the object resource library, and acquires detection tasks, detection projects and detection standard knowledge metadata from the server. And carrying out edge calculation according to the test detection result data and the detection standard knowledge metadata, and determining a compliance judgment result. Specifically, edge calculation and compliance judgment are carried out according to test data, test measurement values acquired by an edge side are used, conditional factors such as temperature and humidity, voltage, current, test parameters and reference quantity are obtained according to the detection knowledge metadata, a detection result compliance judgment value is set, if the measurement value exceeds a standard requirement allowable range, the edge side judges that the measurement value is not in compliance, and the test is ended or the test method is re-acquired.
The application uses software to define and change the electric energy metering device and the detection elements, and changes the non-software form into the software form, thereby realizing the mutual energization between the electric energy metering detection standard/knowledge, the detection personnel and the equipment and promoting the digitization of the electric energy metering detection and the calibration technical knowledge.
Fig. 5 is a flow chart of a method of collecting an edge of an electrical energy meter according to an embodiment of the application. As shown in fig. 5, includes:
constructing an electric energy metering edge acquisition device, accessing a laboratory internet of things sensing network, and selecting a detection object according to the verification or calibration sample;
acquiring and manually inputting corresponding detection tasks, detection standards and detection items from a server;
connecting laboratory electric energy metering instrument equipment and a state sensing terminal, applying an industrial APP with corresponding detection technology and knowledge, optimizing laboratory resources required for carrying out verification or calibration, and issuing test conditions and test control instructions of a test method;
the edge acquisition device acquires instrument equipment and environment sensing information from the instrument equipment and the sensing terminal according to time sequence, and acquires test detection result data;
according to detection standards and operation regulations, monitoring element industries such as laboratory active persons, equipment, environments and the like, and carrying out operation behavior analysis and test detection result data edge calculation in a compliance industry feature library, image recognition and other modes;
and storing state sensing information and test detection result data acquired by the uplink edge.
The application has been described with reference to a few embodiments. However, as is well known to those skilled in the art, other embodiments than the above disclosed application are equally possible within the scope of the application, as defined by the appended patent claims.
Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise therein. All references to "a/an/the [ means, component, etc. ]" are to be interpreted openly as referring to at least one instance of said means, component, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present application and not for limiting the same, and although the present application has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the application without departing from the spirit and scope of the application, which is intended to be covered by the claims.
Claims (4)
1. An electrical energy metering edge collection method, the method comprising:
the electric energy metering edge acquisition device is connected to the Internet of things sensing network to determine a detection object, and a detection task, a detection project and detection standard knowledge metadata are acquired from a server;
performing a test according to the detection task and the detection item, acquiring instrument equipment and environment sensing information from instrument equipment and a sensing terminal, and acquiring test detection result data;
performing edge calculation according to the test detection result data and the detection standard knowledge metadata, and determining a compliance judgment result;
the detection standard knowledge metadata comprises identification information, coverage information, content information, maintenance information, limit information, data quality information, acquisition information and distribution information; wherein,
the identification information represents basic description information of a unique identification detection knowledge data set, and comprises a data set name, a data set release date, a data set abstract, a data set provider, keywords, data set classification and data volume of the detection knowledge information;
the coverage information represents description information of data coverage, and comprises a spatial range and a time range of detection knowledge information;
the content information represents description information of data content characteristics;
the maintenance information represents information about update frequency and update range of the data set;
the restriction information representing legal and security restriction information for accessing and using the data set, and information disclosure properties of the data set;
the data quality information represents description information of data set quality evaluation, and comprises relevant data log description information in the process of detecting knowledge information production;
the acquired information represents detailed information acquired by detecting the knowledge data set;
the distribution information represents path distribution format information for acquiring the detection knowledge data set.
2. The method according to claim 1, wherein the method further comprises:
constructing a method for sensing the state of the software-defined edge side instrument equipment;
the method for constructing the mechanism model and the object resource library of the software definition equipment and the intelligent internet of things terminal is used for forming a digital fusion strategy for operating the physical form and the property of the instrument equipment;
constructing a method for detecting activity behavior specifications by software definition to form electric energy metering detection standard knowledge metadata;
building an industrial application program for presetting a detection activity operation scene and a detection object, and providing a laboratory resource optimal configuration strategy;
and constructing a software-defined detection object data driving model and a detection result edge calculation method, and determining an edge calculation and a compliance judgment strategy according to the collected test data.
3. The method of claim 1, wherein the determining the compliance determination result from the edge calculation performed by the trial test result data and the test standard knowledge metadata comprises:
based on test detection result data acquired by the edge side, different condition factor values are obtained according to the detection standard knowledge metadata, the condition factor values are compared with a preset compliance judgment threshold value, and if the condition factor values are larger than the preset compliance judgment threshold value, the edge side determines that the compliance judgment result is that the condition factor values do not meet the requirement; otherwise, the edge side determines the compliance determination result to be that the condition factor value meets the requirement.
4. A method according to claim 3, wherein the different conditional factor values comprise: temperature, humidity, voltage, current, test parameters and reference.
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