CN115765153A - Method and system for fusion monitoring of Internet of things and online monitoring data of primary electric power equipment - Google Patents
Method and system for fusion monitoring of Internet of things and online monitoring data of primary electric power equipment Download PDFInfo
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Abstract
The invention provides a method and a system for monitoring the fusion of the Internet of things and online monitoring data of primary electric power equipment, wherein the method comprises the following steps: establishing a unified data model for processing sensor data in the integrated platform; the method comprises the steps that sensor measurement data and standing book data of the primary electric power equipment are stored separately, and basic information and relevant information of the primary electric power equipment and a sensor are configured through a standing book configuration module; alarm rules are configured in the integrated platform; acquiring sensor data through a bottom data acquisition platform, and converting a data format into an integrated platform data format through a unified data model; respectively pushing the converted data to a data storage service and a data analysis service of the integrated platform, and performing data storage and alarm analysis on the data to obtain an analysis result; and displaying the primary power equipment and the sensor data thereof stored in the integrated platform and an alarm result through the integrated web service. The invention can realize the fusion monitoring and management of the multiple sensors.
Description
Technical Field
The invention relates to the technical field of wireless communication of the Internet of things, in particular to a method and a system for monitoring data fusion of the Internet of things and online monitoring of primary electric power equipment.
Background
The power equipment is used as a basic condition for the operation of a power system, and the normal operation of the power equipment is the fundamental guarantee of the safety of a power grid. At present, wired sensors in the market are accessed by building an intelligent monitoring system through a network to realize automatic monitoring. With the continuous development of the on-line monitoring technology, in the traditional data monitoring technology, the on-line monitoring data and the data of the Internet of things are monitored on different platforms and are not subjected to fusion monitoring,
how to access data of wireless sensors in a plurality of electric power devices and perform fusion monitoring with data of wired sensors, and to perform efficient storage and rapid analysis access, and to efficiently troubleshoot device faults through data diagnosis is a problem to be faced by the current electric power information processing field and electric power enterprises.
The prior art discloses a power equipment state diagnosis device and method (CN 107103337A) based on Internet of things and information fusion, the method comprises the steps of obtaining information data of equipment states through an equipment state information extraction module, and selecting factors possibly influencing normal operation of the equipment as basic data of preprocessing and feature extraction; preprocessing and extracting features of the data in a data preprocessing and feature extracting unit, and taking the preprocessed and extracted feature data as fused basic data; carrying out normalization fusion processing fusion on the determined basic data in a data fusion processing unit; analyzing and processing the data subjected to the normalization fusion processing by adopting a proper algorithm through a data induction analysis unit in combination with a service, and outputting an analysis processing result; after the analysis processing result is obtained, the state of the equipment is determined as follows according to the processing result: the equipment is normal, partial hidden danger exists, the hidden danger problem is serious, and the equipment is abnormal. The problems of the prior art include: the data of the internet of things and the online monitoring data are collected, stored and displayed by different platforms respectively. Therefore, the obtained monitoring data of a single platform is not complete, and the data of the internet of things and the online monitoring data cannot be fused, monitored and analyzed in the same monitoring system.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a method and a system for monitoring the fusion of an Internet of things (IOT) and online monitoring data of electric primary equipment.
The invention adopts the following technical scheme.
A fusion monitoring method for Internet of things and online monitoring data of primary electric power equipment comprises the following steps:
step 2, separating and storing sensor measurement data and standing book data of the primary electric power equipment, and configuring basic information and relevant information of the primary electric power equipment and the sensor through a standing book configuration module;
step 3, configuring alarm rules in the integrated platform, and storing the configured alarm rules in a database of the integrated platform;
step 4, the integrated platform acquires sensor data through a bottom data acquisition platform, the sensor data comprises internet of things data and online monitoring data, data fusion is carried out on the sensor data through a unified data model, and a sensor data format is converted into an integrated platform data format;
step 5, respectively pushing the data converted into the integrated platform data format to a data storage service and a data analysis service of the integrated platform, and performing data storage and alarm analysis on the data storage service and the data analysis service to obtain an analysis result;
and 6, displaying the primary electric power equipment and the sensor data thereof stored in the integrated platform and an alarm result through the integrated web service to realize monitoring of the primary electric power equipment.
Preferably, in step 1, the processed sensor data includes internet of things data and online monitoring data, the internet of things data is wireless sensor data, and the online monitoring data is wired sensor data.
Preferably, in step 1, all sensor basic information of the primary power equipment can be integrated and refined through the sensor standing book model, and all sensor measurement data of the primary power equipment are subjected to data fusion through the sensor data model, so that the sensor data and the standing book information in a unified data model format are obtained.
Preferably, the ledger data in step 2 includes basic information of the sensor and the primary power equipment, and the separate storage of the sensor measurement data and the ledger data of the primary power equipment further includes:
an equipment data table and a sensor data table are arranged in the integrated platform, the equipment data table is used for storing the standing book data of the primary electric power equipment and the sensor, and the sensor data table is used for storing the measurement data of the sensor.
Preferably, in step 2, configuring basic information and associated information of the primary power equipment and the sensor through the ledger configuration further includes:
the standing book configuration module further comprises a configuration page, and the configuration page is used for carrying out configuration and maintenance on the standing book of the primary electric power equipment, the sensor standing book, the primary electric power equipment and the sensor according to the configuration page, wherein one primary electric power equipment can be bound with one sensor or a plurality of sensors;
and storing the information of the primary electric power equipment, the information of the sensor and the associated information of the primary electric power equipment and the sensor through a database of the integrated platform.
Preferably, in step 3, the configuring of the alarm rule includes configuring operating conditions and parameter thresholds of the primary electrical equipment and the sensor, and the alarm rule is configured for the measurement point by selecting a sensor type, a sensor and the measurement point through an alarm configuration function in the integrated platform.
Preferably, the step 4 further comprises:
step 4-1, the integrated platform sets measurement point correlation configuration information through a sensor measurement point management module, so that the integrated platform sensor account measurement points are bound with the sensor account measurement points of the bottom data acquisition platform;
step 4-2, the integrated platform acquires the sensor data of each bottom layer data acquisition platform through data interface service;
and 4-3, performing data fusion on the acquired sensor data through the unified data model constructed in the step 1 to obtain data converted into an integrated platform data format and storing the data.
Preferably, in the step 4-1, each bottom layer data acquisition platform is connected with the integrated platform, and the sensor monitoring data is acquired through each bottom layer data acquisition platform and transmitted to the integrated platform;
the integrated platform sets measurement point correlation configuration information through the sensor measurement point management module, so that the sensor ledger measurement points of the integrated platform are bound with the sensor ledger measurement points of the bottom data acquisition platform.
Preferably, in step 5, when the data analysis service obtains the data of the sensing measurement point, the alarm rules configured for the measurement point are dynamically loaded, the analysis is sequentially executed according to the configuration sequence of the alarm rules, and when the alarm rules are satisfied, the corresponding alarm data is generated and stored in the integrated platform database.
Preferably, in step 6, the integrated web service is used for displaying sensor measurement data and alarm results, and displaying and maintaining basic ledger information, where the basic ledger includes an equipment ledger, a sensor ledger, sensor data, alarm rule configuration, and sensor measurement point management information.
The invention also provides a system for monitoring the integration of the Internet of things and the online monitoring data of the primary power equipment, which comprises the following components: the system comprises a data conversion module, a standing book configuration module, an alarm configuration module, a sensor measuring point management module, a data interface service module, a data analysis service module, a database, a data storage service module and an integrated web service module, wherein the modules are arranged in an integrated platform, and the integrated platform is connected with a bottom data acquisition platform and used for receiving sensor measuring data of the bottom data acquisition platform;
the data conversion module can construct a unified data model and convert the sensor data, and the unified data model can perform characteristic fusion on the Internet of things data and the online monitoring data to obtain fusion data converted into an integrated platform data format;
the standing book configuration module can configure a sensor standing book and an electric primary equipment standing book and associate sensor data with the electric primary equipment;
the sensor measuring point management module is used for setting measuring point correlation configuration information to bind the sensor ledger measuring points of the integrated platform and the sensor ledger measuring points of the bottom data acquisition platform;
the alarm configuration module is used for configuring and maintaining alarm rules of each sensor measuring point, and the alarm rules comprise the operation conditions and parameter thresholds of the primary power equipment and the sensors;
the data interface service module is used for being in butt joint with the bottom layer data acquisition platform and receiving sensor monitoring data of the primary power equipment;
the data analysis service module can analyze the data alarm condition in real time and generate an alarm result based on the alarm rule and the monitoring data;
the database is used for storing the primary electric power equipment data, the sensor data and the associated information of the primary electric power equipment and the sensor;
the data storage service is used for storing the bottom data acquisition platform sensor data converted into the platform data format into a database of the integrated platform;
the integrated web service module is used for displaying data and alarm results, and operation and maintenance personnel can operate the information of the primary power equipment and the sensor through the integrated web service module and configure or modify alarm rules.
The invention also provides a terminal, which comprises a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is used for operating according to the instruction to execute the steps of the method for monitoring the integration of the Internet of things and the online monitoring data of the primary electric power equipment.
The invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the method for monitoring the fusion of the internet of things and the online monitoring data of the electric primary equipment.
Compared with the prior art, the method has the advantages that the internet of things of the primary power equipment in the station and the online monitoring data can be subjected to fusion monitoring, the workload of data processing is reduced, and the functions of multiple thresholds, trend analysis, data sharing and the like are added; and real-time analysis can greatly improve the management level of operation, maintenance and defect elimination, realize the principle that early warning alarms in the station are discovered and processed, reduce the maintenance difficulty, improve the utilization efficiency and convenience of state information and realize the fusion analysis and result display of multi-platform monitoring data.
Drawings
Fig. 1 is an overall flow diagram of a method for monitoring the fusion of the internet of things and online monitoring data of electric primary equipment in the invention;
fig. 2 is a schematic view of the overall structure of the system for monitoring the integration of the internet of things and the online monitoring data of the primary electric power equipment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be described clearly and completely in the following with reference to the accompanying drawings in the embodiments of the present invention. The embodiments described herein are only some embodiments of the invention, and not all embodiments. All other embodiments obtained by a person skilled in the art without any inventive step based on the spirit of the present invention are within the scope of the present invention.
As shown in fig. 1, the invention provides a method for monitoring data fusion between an internet of things and online monitoring of primary electric power equipment, which specifically comprises the following steps:
specifically, the sensor data comprises internet of things data and online monitoring data, the internet of things data refers to wireless sensor data, the online monitoring data refers to wired sensor data, the characteristic fusion of the wireless sensor data, the standing book data of the wired sensor and the measured data can be achieved by establishing a unified data model in the integrated platform, the wired sensor data and the wireless sensor data are uniformly converted into a standard data format, and subsequent processing is facilitated.
The constructed unified data model is used for processing the sensor data and the standing book information, all sensor basic information of the primary power equipment can be integrated and refined through the sensor standing book model, and data fusion is carried out on all sensor measurement data of the primary power equipment through the sensor data model to obtain the sensor data and the standing book information in the unified data model format.
Step 2, a data table is designed to separately store sensor measurement data and standing book data of the primary electric power equipment, and basic information and relevant information of the primary electric power equipment and the sensor are configured through a standing book configuration module;
wherein, the standing book data include sensor and electric power primary equipment basic information, carry out the separation storage with the measured data of sensor and standing book data and still include:
the method comprises the steps that an equipment data table and a sensor data table are arranged in an integrated platform, standing book data of the primary electric power equipment and the sensors are stored by using the equipment data table, sensor measurement data are stored by using the sensor data table, and the sensor measurement data of the primary electric power equipment and the data table of basic sensor information are clearly distinguished.
The basic information and the associated information of the primary power equipment and the sensor are configured through the standing book configuration module, and the method further comprises the following steps:
the standing book configuration module also comprises a configuration page, and the configuration page is an equipment standing book, a sensor standing book and a related information maintenance page of the equipment and the sensor; the sensor data can be associated with the powered primary device through a configuration page;
specifically, operation and maintenance personnel support the function that one electric primary device binds one sensor and one electric primary device binds a plurality of sensors by configuring the incidence relation between the electric primary device and the sensors on the page;
further, the information of the primary electric power equipment, the information of the sensor and the associated information of the primary electric power equipment and the sensor are stored through a database of the integrated platform.
Preferably, the primary electric power equipment comprises a transformer, a breaker and an arrester, and the sensors comprise a temperature sensor, an SF6 sensor and an arrester sensor.
Step 3, configuring alarm rules in the integrated platform and storing the configured alarm rules in a database of the integrated platform;
specifically, the integrated platform supports dynamic configuration and analysis functions of alarm rules, supports customized alarm analysis rules and preconfigured alarm rules, maintains alarm rules of each sensor measurement point in the integrated platform alarm configuration module, and the alarm rules include configuration of the operating conditions and parameter thresholds of primary electric power equipment and sensors, specifically:
and selecting the type of the sensor, the sensor and the measuring point through an alarm configuration function in the integrated platform, and configuring an alarm rule for the measuring point.
For example, for an SF6 sensor, selecting an SF6 sensor type, 50332 a knife gas chamber C-phase SF6 sensor and a pressure measurement point in an alarm configuration page to configure a threshold value type alarm rule: and when the measured value is less than =0.48, a serious alarm is given.
The alarm rules of each specific sensor can be configured and modified by those skilled in the art according to the actual usage scenario.
Step 4, the integrated platform acquires sensor data through a bottom data acquisition platform, the sensor data comprises Internet of things data and online monitoring data, data fusion is carried out on the sensor data through a unified data model, and a sensor data format is converted into an integrated platform data format;
specifically, step 4 further includes:
step 4-1, the integrated platform sets measurement point correlation configuration information through a sensor measurement point management module, so that the integrated platform sensor account measurement points are bound with the sensor account measurement points of the bottom data acquisition platform;
each bottom layer data acquisition platform is connected with the integrated platform, and sensor monitoring data are acquired through each bottom layer data acquisition platform and transmitted to the integrated platform;
furthermore, the device account codes, the sensor data transmission formats and the object definitions of the underlying data acquisition platforms are different, so that the integrated platform data interface service cannot be directly used after acquiring the sensor data.
Therefore, the integrated platform sets the associated configuration information of the measuring points through the sensor measuring point management module, so that the sensor account measuring points of the integrated platform are bound with the sensor account measuring points of the bottom data acquisition platform, and the problems of inconsistent sensor codes, different sensor data formats and the like of the integrated platform and the bottom data acquisition platform are solved.
Step 4-2, the integrated platform acquires the sensor data of each bottom layer data acquisition platform through data interface service;
the acquired sensor data of the bottom layer data acquisition platform comprise internet of things data and online monitoring data, namely wired sensor data and wireless sensor data.
And 4-3, performing data fusion on the acquired sensor data through the unified data model constructed in the step 1 to obtain data converted into an integrated platform data format and storing the data.
Wherein, the unified data model further comprises:
the sensor standing book model can be compatible with all sensor basic information of the monitoring primary power equipment, and information is integrated and refined by arranging the difference between the basic information of the wireless sensor and the basic information of the wired sensor.
The sensor data model can perform data fusion on all sensor data of the primary power monitoring equipment, including sorting the data of the wireless sensor and the wired sensor, classifying according to the sensor type, counting the data difference between the wired sensor and the wireless sensor according to the classification, sorting out complete data fields by a union method, and enabling the integrated platform to support the storage and display of the data of the wireless sensor and the wired sensor.
After wired sensor data and wireless sensor data of a bottom data acquisition platform are acquired, the data are converted into a unified data model format defined by the integrated platform according to the associated configuration information of the sensor measuring points of the integrated platform and stored, and data support is provided for the integrated platform.
It can be understood that the data obtained after the unified data model processing is in a unified standard data format, a wired sensor data format and a wireless sensor data format are not distinguished any more, fusion and display of the data are facilitated, and a foundation is laid for unified platform monitoring.
For explaining the data fusion process of the sensor, taking the lightning arrester sensor as an example, the step of carrying out step fusion on the lightning arrester sensor through the sensor step model comprises the following steps of:
acquiring basic ledger information of a wired arrester sensor: the method comprises the following steps of (1) including the name of a sensor, the number, the type, the communication mode, the communication protocol and the address of the sensor;
acquiring basic ledger information of a wireless arrester sensor: the method comprises the following steps of (1) including sensor name, sensor number, type, communication mode, communication protocol, frequency point, reporting period and channel;
the fusion background account data obtained through the sensor standing account model comprises the following steps: the name, serial number, type, communication mode, communication protocol, reporting period, frequency point, channel and address of the sensor in the standard format;
fusing arrester sensor data by a sensor data model includes:
the fused sensor data includes: full current, accumulated action times, resistive current and initial value, and the data format is a uniform format.
It can be understood that there are various types of wireless lightning arrester sensors and wired lightning arrester sensors, the types and formats of data monitored by the various types of sensors are different, and the operation monitoring data of the various types of sensors are fused through the sensor data model, so as to obtain a set of operation data of the various sensors, wherein the fused data is in a uniform format.
Step 5, respectively pushing the data converted into the integrated platform data format to a data storage service and a data analysis service of the integrated platform, and storing the data and performing alarm analysis to obtain an analysis result;
specifically, the data converted into the integrated platform data format in the step 4 is simultaneously pushed to a data warehousing service and a data analysis service;
the data storage service stores the data converted into the platform data format into a database of the integrated platform; the data analysis service performs analysis and alarm by combining with the alarm rule configured in the step 3;
specifically, when the data analysis service acquires the data of the corresponding sensing measurement point, the alarm rule configured by the measurement point is dynamically loaded, the analysis is sequentially executed according to the configuration sequence of the alarm rule, and the corresponding alarm data is generated after the alarm rule is met and is stored in the integrated platform database, so that data support is provided for the integrated platform alarm management module.
For example, in combination with the SF6 sensor alarm rule example configured in step 4, when the alarm analysis service acquires 50332 data of the pressure measurement point of the C-phase SF6 sensor in the knife gas chamber, dynamically loading the configured alarm rules from the database, sequentially performing analysis, and when the measurement value is less than or equal to 0.48, generating alarm record information and storing the alarm record information to the integrated platform to provide data support for the data alarm module.
And 6, displaying the primary electric power equipment and the sensor data thereof stored in the integrated platform and an alarm result through the integrated web service to realize monitoring of the primary electric power equipment.
Specifically, the integrated web service in the integrated platform is mainly used for data display and basic ledger information maintenance of sensor measurement and alarm, and can display, analyze, count and manage the whole life cycle of the equipment ledger, wherein the basic ledger comprises the equipment ledger, the sensor ledger, sensor data, alarm rule configuration, sensor measurement point management information and the like.
Wherein, equipment standing book: the method is mainly used for managing and displaying the information of the primary power equipment.
Sensor machine account: the method is mainly used for maintaining relevant information of the sensor and binding the relevant information with the primary power equipment ledger, the sensor data model and the sensor data.
Sensor data: the sensor operation data from each bottom layer data acquisition platform is used for the user to refer to the monitoring condition of each sensor;
managing sensor measuring points: the method is mainly used for maintaining the relation between the sensor ledger measurement points of the integrated platform and the sensor ledger measurement points of other monitoring systems and solving the problems of inconsistent sensor codes, sensor data format differences and the like of the integrated platform and other monitoring systems.
And (3) alarm rules: the alarm rule of each sensor measuring point is included, and data support is provided for the dynamic analysis function of the alarm analysis service. When the alarm data is analyzed, the transportation and inspection personnel can quickly position the alarm data to the corresponding primary power equipment through the sensor, and the problem processing efficiency of the transportation and inspection personnel is improved.
The configuration of basic information is bound with data generated by alarm analysis service and data interface service, so that the dynamic binding and fusion process of the sensor ledger and sensor data is realized, and a transportation and inspection worker can monitor the data of the internet of things and the online monitoring data in real time through pages such as real-time data, historical data, data alarm and the like, so that the data fusion monitoring is realized.
As shown in fig. 2, the invention further provides a system for monitoring the fusion of the internet of things and online monitoring data of the primary electric power equipment, and the method for monitoring the fusion of the internet of things and the online monitoring data of the primary electric power equipment can be implemented based on the system, and the system specifically comprises: the system comprises a data conversion module, a standing book configuration module, an alarm configuration module, a sensor measuring point management module, a data interface service module, a data analysis service module, a database, a data storage service module and an integrated web service module, wherein the data conversion module, the standing book configuration module, the alarm configuration module, the sensor measuring point management module, the data interface service module, the data analysis service module, the database, the data storage service module and the integrated web service module are all arranged in an integrated platform, and the integrated platform is connected with a bottom data acquisition platform and is used for receiving sensor measuring data of the bottom data acquisition platform;
the data conversion module can construct a unified data model and convert the sensor data, and the unified data model can perform characteristic fusion on the Internet of things data and the online monitoring data to obtain fusion data converted into an integrated platform data format;
the standing book configuration module can configure a sensor standing book and an electric primary equipment standing book and associate sensor data with the electric primary equipment;
the sensor measuring point management module is used for setting measuring point correlation configuration information so as to bind the sensor ledger measuring points of the integrated platform and the sensor ledger measuring points of the bottom data acquisition platform;
the alarm configuration module is used for configuring and maintaining alarm rules of each sensor measuring point, and the alarm rules comprise the operation conditions and parameter thresholds of the primary power equipment and the sensors;
the data interface service module is used for being in butt joint with the bottom layer data acquisition platform and receiving sensor monitoring data of the primary power equipment;
the data analysis service module can analyze the data alarm condition in real time and generate an alarm result based on the alarm rule and the monitoring data;
the database is used for storing the electric primary equipment data, the sensor data and the associated information of the electric primary equipment and the sensor;
the data storage service is used for storing the bottom data acquisition platform sensor data converted into the platform data format into a database of the integrated platform;
the integrated web service module is used for displaying data and alarm results, and operation and maintenance personnel can operate the information of the primary power equipment and the sensor through the integrated web service module and configure or modify alarm rules.
Compared with the prior art, the method has the advantages that the method can fuse and monitor the Internet of things of the primary power equipment in the station and the online monitoring data, reduce the workload of data processing, and increase the functions of multiple thresholds, trend analysis, data sharing and the like; and real-time analysis can greatly improve the management level of operation, maintenance and defect elimination, realize the principle that early warning alarms in the station reach the discovery and processing, reduce the maintenance difficulty, improve the utilization efficiency and convenience of state information, and realize the fusion analysis and result display of multi-platform monitoring data. .
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, 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/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (13)
1. A method for monitoring fusion of an Internet of things and online monitoring data of primary electric power equipment is characterized by comprising the following steps:
step 1, establishing a unified data model for processing sensor data in an integrated platform, wherein the unified data model comprises a sensor standing book model and a sensor data model;
step 2, separating and storing sensor measurement data and standing book data of the primary electric power equipment, and configuring basic information and relevant information of the primary electric power equipment and the sensor through a standing book configuration module;
step 3, configuring alarm rules in the integrated platform and storing the configured alarm rules in a database of the integrated platform;
step 4, the integrated platform acquires sensor data through a bottom data acquisition platform, the sensor data comprises Internet of things data and online monitoring data, data fusion is carried out on the sensor data through a unified data model, and a sensor data format is converted into an integrated platform data format;
step 5, respectively pushing the data converted into the integrated platform data format to a data storage service and a data analysis service of the integrated platform, and performing data storage and alarm analysis on the data storage service and the data analysis service to obtain an analysis result;
and 6, displaying the primary electric power equipment and the sensor data thereof stored in the integrated platform and an alarm result through the integrated web service to realize monitoring of the primary electric power equipment.
2. The fusion monitoring method of the Internet of things and the online monitoring data of the electric primary equipment according to claim 1,
in the step 1, the processed sensor data includes internet of things data and online monitoring data, the internet of things data is wireless sensor data, and the online monitoring data is wired sensor data.
3. The fusion monitoring method of the Internet of things and the online monitoring data of the electric primary equipment according to claim 1,
in the step 1, all sensor basic information of the primary electric power equipment can be integrated and refined through the sensor standing book model, and all sensor measurement data of the primary electric power equipment are subjected to data fusion through the sensor data model, so that sensor data and standing book information in a unified data model format are obtained.
4. The fusion monitoring method of the Internet of things and the online monitoring data of the electric primary equipment according to claim 1,
the ledger data in step 2 includes sensor and primary power equipment basic information, and the sensor measurement data and ledger data of primary power equipment are separated and stored and are further included:
an equipment data table and a sensor data table are arranged in the integrated platform, the equipment data table is used for storing the standing book data of the primary electric power equipment and the sensor, and the sensor data table is used for storing the measurement data of the sensor.
5. The fusion monitoring method of the Internet of things and the online monitoring data of the electric primary equipment according to claim 1,
in step 2, configuring basic information and associated information of the primary power equipment and the sensor through the standing book configuration further includes:
the machine account configuration module further comprises a configuration page, and the configuration page is used for carrying out configuration and maintenance on the associated information of the machine account of the primary electric power equipment, the machine account of the sensor, the primary electric power equipment and the sensor, wherein one primary electric power equipment can be bound with one sensor or a plurality of sensors;
and storing the information of the primary electric power equipment, the information of the sensor and the associated information of the primary electric power equipment and the sensor through a database of the integrated platform.
6. The fusion monitoring method of the Internet of things and the online monitoring data of the electric primary equipment according to claim 1,
in the step 3, the configuration of the alarm rule includes configuring the operating conditions and parameter thresholds of the primary power equipment and the sensor, selecting the type of the sensor, the sensor and the measurement point through an alarm configuration function in the integrated platform, and configuring the alarm rule for the measurement point.
7. The fusion monitoring method of the Internet of things and the online monitoring data of the electric primary equipment according to claim 1,
the step 4 further comprises:
step 4-1, the integrated platform sets measurement point correlation configuration information through a sensor measurement point management module, so that the integrated platform sensor account measurement points are bound with the sensor account measurement points of the bottom data acquisition platform;
step 4-2, the integrated platform acquires the sensor data of each bottom layer data acquisition platform through data interface service;
and 4-3, performing data fusion on the acquired sensor data through the unified data model constructed in the step 1 to obtain data converted into an integrated platform data format and storing the data.
8. The fusion monitoring method of the Internet of things and the online monitoring data of the electric primary equipment according to claim 7,
in the step 4-1, each bottom layer data acquisition platform is connected with the integrated platform, and the sensor monitoring data is acquired through each bottom layer data acquisition platform and is transmitted to the integrated platform;
the integrated platform sets measurement point correlation configuration information through the sensor measurement point management module, so that the sensor ledger measurement points of the integrated platform are bound with the sensor ledger measurement points of the bottom data acquisition platform.
9. The fusion monitoring method of the Internet of things and the online monitoring data of the electric primary equipment according to claim 1,
in the step 5, when the data analysis service acquires the data of the sensing measurement point, the alarm rules configured for the measurement point are dynamically loaded, analysis is sequentially executed according to the configuration sequence of the alarm rules, and corresponding alarm data is generated and stored in the integrated platform database after the alarm rules are satisfied.
10. The fusion monitoring method of the Internet of things and the online monitoring data of the electric primary equipment according to claim 1,
in the step 6, the integrated web service is used for displaying the sensor measurement data and the alarm result, and displaying and maintaining basic ledger information, wherein the basic ledger includes an equipment ledger, a sensor ledger, sensor data, alarm rule configuration, and sensor measurement point management information.
11. An electric primary equipment internet of things and online monitoring data fusion monitoring system using the electric primary equipment internet of things and online monitoring data fusion monitoring method as claimed in any one of claims 1 to 10, comprising: the system comprises a data conversion module, a standing book configuration module, an alarm configuration module, a sensor measuring point management module, a data interface service module, a data analysis service module, a database, a data storage service module and an integrated web service module, wherein the modules are arranged in an integrated platform, and the integrated platform is connected with a bottom data acquisition platform and used for receiving sensor measuring data of the bottom data acquisition platform;
the data conversion module can construct a unified data model and convert the sensor data, and the unified data model can perform characteristic fusion on the Internet of things data and the online monitoring data to obtain fusion data converted into an integrated platform data format;
the standing book configuration module can configure a sensor standing book and an electric primary equipment standing book and associate sensor data with the electric primary equipment;
the sensor measuring point management module is used for setting measuring point correlation configuration information so as to bind the sensor ledger measuring points of the integrated platform and the sensor ledger measuring points of the bottom data acquisition platform;
the alarm configuration module is used for configuring and maintaining alarm rules of each sensor measuring point, and comprises the operation conditions and parameter thresholds of the primary power equipment and the sensors;
the data interface service module is used for being in butt joint with the bottom layer data acquisition platform and receiving sensor monitoring data of the primary power equipment;
the data analysis service module can analyze the data alarm condition in real time and generate an alarm result based on the alarm rule and the monitoring data;
the database is used for storing the electric primary equipment data, the sensor data and the associated information of the electric primary equipment and the sensor;
the data storage service is used for storing the bottom data acquisition platform sensor data converted into the platform data format into a database of the integrated platform;
the integrated web service module is used for displaying data and alarm results, and operation and maintenance personnel can operate the information of the primary power equipment and the sensor through the integrated web service module and configure or modify alarm rules.
12. A terminal comprising a processor and a storage medium; the method is characterized in that:
the storage medium is used for storing instructions;
the processor is used for operating according to the instructions to execute the steps of the method for monitoring fusion of the Internet of things and online monitoring data of the electric primary equipment according to any one of claims 1-10.
13. Computer readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the steps of the method for monitoring fusion of internet of things and online monitoring data of electric primary equipment according to any one of claims 1 to 10.
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| CN116455933A (en) * | 2023-04-03 | 2023-07-18 | 国网重庆市电力公司超高压分公司 | Multi-point grounding monitoring system for secondary alternating current loop |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116455933A (en) * | 2023-04-03 | 2023-07-18 | 国网重庆市电力公司超高压分公司 | Multi-point grounding monitoring system for secondary alternating current loop |
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