CN116668261A - Multi-source data fusion-based power transformation intelligent gateway system - Google Patents

Multi-source data fusion-based power transformation intelligent gateway system Download PDF

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Publication number
CN116668261A
CN116668261A CN202310531733.7A CN202310531733A CN116668261A CN 116668261 A CN116668261 A CN 116668261A CN 202310531733 A CN202310531733 A CN 202310531733A CN 116668261 A CN116668261 A CN 116668261A
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data
source data
equipment
carrying
cloud
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陈煜敏
程凌森
陈波
曾乔迪
蒋文辉
赵亮
金鑫
张家兴
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China Southern Power Grid Digital Grid Technology Guangdong Co ltd
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China Southern Power Grid Digital Grid Technology Guangdong Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06Management of faults, events, alarms or notifications
    • H04L41/0631Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/25Fusion techniques
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00Data switching networks
    • H04L12/66Arrangements for connecting between networks having differing types of switching systems, e.g. gateways
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
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  • Bioinformatics & Cheminformatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
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  • Bioinformatics & Computational Biology (AREA)
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  • Evolutionary Computation (AREA)
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  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The application discloses a power transformation intelligent gateway system based on multi-source data fusion. The multi-source data acquisition module is used for acquiring multi-source data reported by the electric power secondary equipment; the device state detection module is used for carrying out data fusion processing on the obtained multi-source data and carrying out state detection processing on the fused data to obtain a device state; the cloud warning module is used for sending the equipment state to the cloud master station system, carrying out fault analysis on the equipment state through the cloud master station system and warning according to a fault analysis result. The embodiment of the application can integrate multi-source data of the electric power secondary equipment, perform unified data processing on each module, reduce the influence of data islands in a system, and can be widely applied to the technical field of digital power grids.

Description

Multi-source data fusion-based power transformation intelligent gateway system
Technical Field
The application relates to the technical field of digital power grids, in particular to a power transformation intelligent gateway system based on multi-source data fusion.
Background
With the development of digital information technology, power grid enterprises rely on digital power grid construction to construct novel power systems mainly based on new energy. Through digital transformation, the power grid enterprises construct a digital twin power grid covering the whole process and the whole production link of the power grid, and the safe and stable operation level of the power grid is improved. However, in the traditional mode, each module in the intelligent substation respectively performs data acquisition and data processing, so that the information island problem of the intelligent substation is outstanding, and the intelligent degree is low. In view of the foregoing, there is a need for solving the technical problems in the related art.
Disclosure of Invention
In view of this, the embodiment of the application provides a transformation intelligent gateway system based on multi-source data fusion, so as to realize fusion processing of multi-source data.
In one aspect, the present application provides a power transformation intelligent gateway system based on multi-source data fusion, the power transformation intelligent gateway system comprising: the device comprises a multi-source data acquisition module, a device state detection module and a cloud alarm module;
the multi-source data acquisition module is used for acquiring multi-source data reported by the electric power secondary equipment, wherein the multi-source data at least comprises analog quantity data, switching value data, an action object, an action value, a fault position, a wave recording file and an event sequence record;
the device state detection module is used for carrying out data fusion processing on the obtained multi-source data and carrying out state detection processing on the fused data to obtain a device state;
the cloud warning module is used for sending the equipment state to a cloud master station system, carrying out fault analysis on the equipment state through the cloud master station system, and warning according to a fault analysis result.
Optionally, the multi-source data acquisition module comprises a control data acquisition unit, a detection data acquisition unit and an operation state acquisition unit;
the control data acquisition unit is used for acquiring control data reported by the electric power secondary equipment;
the detection data acquisition unit is used for acquiring detection data reported by the electric power secondary equipment;
the running state acquisition unit is used for acquiring running state data reported by the electric power secondary equipment.
Optionally, the device state detection module includes a multi-source data fusion unit and a state detection unit;
the multi-source data fusion unit is used for classifying the acquired multi-source data for data use, and carrying out data statistics and association processing on the classified multi-source data to acquire fusion data;
the state detection unit is used for carrying out reference value comparison processing on the fusion data and carrying out comparison analysis by combining historical data to obtain the equipment state.
Optionally, the cloud alarm module includes a cloud communication unit and an alarm notification unit;
the cloud communication unit is used for communicating with the cloud master station system, sending the equipment state to the cloud master station system and receiving a fault analysis result returned by the cloud master station system;
and the alarm notification unit is used for searching corresponding fault equipment according to the fault analysis result and sending alarm information to the fault equipment.
Optionally, the multi-source data acquisition module further comprises a data conversion unit;
the data conversion unit is used for carrying out protocol conversion processing on the control data, the detection data and the running state data according to a gateway communication protocol.
Optionally, the cloud alarm module further comprises a data encryption unit;
the data encryption unit is used for carrying out data encryption processing on communication data of the cloud communication unit and the cloud master station system.
Optionally, the system further comprises a firewall switching module;
the firewall exchange module is used for connecting the multi-source data acquisition module and the electric power secondary equipment, and performing data access processing on the electric power secondary equipment according to an access control strategy.
On the other hand, the embodiment of the application also provides a power transformation intelligent gateway control method based on multi-source data fusion, which is applied to the power transformation intelligent gateway system based on multi-source data fusion, and comprises the following steps:
the method comprises the steps of obtaining multi-source data reported by power secondary equipment, wherein the multi-source data at least comprise analog quantity data, switching value data, action objects, action values, fault positions, wave recording files and event sequence records;
carrying out data fusion processing on the obtained multi-source data, and carrying out state detection processing on the fused data to obtain the equipment state;
and sending the equipment state to a cloud master station system, carrying out fault analysis on the equipment state through the cloud master station system, and carrying out alarm according to a fault analysis result.
Optionally, the performing data fusion processing on the obtained multi-source data, and performing state detection processing on the fused data to obtain a device state includes:
classifying the obtained multi-source data for data use, and carrying out data statistics and association processing on the classified multi-source data to obtain fusion data;
and carrying out reference value comparison processing on the fusion data, and carrying out comparison analysis by combining historical data to obtain the equipment state.
Optionally, the sending the device state to a cloud master station system, performing fault analysis on the device state by the cloud master station system, and alarming according to a fault analysis result, including:
the cloud master station system is communicated with the cloud master station system, the equipment state is sent to the cloud master station system, and a fault analysis result returned by the cloud master station system is received;
and searching corresponding fault equipment according to the fault analysis result, and sending alarm information to the fault equipment.
On the other hand, the embodiment of the application also discloses electronic equipment, which comprises a processor and a memory;
the memory is used for storing programs;
the processor executes the program to implement the method as described above.
In another aspect, embodiments of the present application also disclose a computer readable storage medium storing a program for execution by a processor to implement a method as described above.
In another aspect, embodiments of the present application also disclose a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions may be read from a computer-readable storage medium by a processor of a computer device, and executed by the processor, to cause the computer device to perform the foregoing method.
Compared with the prior art, the embodiment of the application has the following technical effects: according to the embodiment of the application, the acquired multi-source data are subjected to data fusion processing through the equipment state detection module, and the fused data are subjected to state detection processing to obtain the equipment state; the embodiment of the application can integrate multi-source data of the electric power secondary equipment, perform unified data processing on each module and reduce the influence of data islands in the system.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a system configuration diagram of a power transformation intelligent gateway system provided in an embodiment of the present application;
fig. 2 is a flowchart of a control method of a power transformation intelligent gateway according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
In the related art, each module in the intelligent substation respectively performs data acquisition and data processing, and does not integrate and process resources, so that the information island problem of the intelligent substation is outstanding, and the intelligent degree is low. If in the related art, the intelligent substation monitors the primary equipment of the power system through the secondary equipment, only collects data through the secondary equipment, performs detection processing according to the collected data, does not combine the data collected by a plurality of secondary equipment to perform fusion analysis processing, and is easy to solve the problems of lower detection precision and the like of the system, and the degree of intellectualization is lower.
Referring to fig. 1, an embodiment of the present application provides a power transformation intelligent gateway system based on multi-source data fusion to implement fusion processing on multi-source data, where the power transformation intelligent gateway system includes: the device comprises a multi-source data acquisition module, a device state detection module and a cloud alarm module;
the multi-source data acquisition module is used for acquiring multi-source data reported by the electric power secondary equipment, wherein the multi-source data at least comprises analog quantity data, switching value data, an action object, an action value, a fault position, a wave recording file and an event sequence record;
the device state detection module is used for carrying out data fusion processing on the obtained multi-source data and carrying out state detection processing on the fused data to obtain a device state;
the cloud warning module is used for sending the equipment state to a cloud master station system, carrying out fault analysis on the equipment state through the cloud master station system, and warning according to a fault analysis result.
In the embodiment of the application, the power transformation intelligent gateway system comprises a multi-source data acquisition module, an equipment state detection module and a cloud alarm module, wherein the multi-source data acquisition module is used for acquiring multi-source data reported by electric secondary equipment, and the electric secondary equipment comprises a meter, an insulation monitoring device, a control and signal device, a relay protection and automatic device, a direct-current power supply equipment, a high-frequency wave blocking device, a standby automatic switching device and the like, wherein the meter, such as a voltmeter, a ammeter, a power meter and an electric energy meter, is used for measuring electric parameters in a circuit; relay protection and automatic devices, such as relays and automatic devices, are used for monitoring the operation condition of a primary system, rapidly reacting to abnormality and accident, and then acting on a breaker to perform protection control; dc power supply devices such as a battery pack, a dc generator, a silicon rectifying device, etc., for supplying a dc power supply for control protection, and for using dc load and accident lighting power, etc.; the multi-source data at least comprises analog quantity data, switching value data, an action object, an action value, a fault position, a wave recording file and an event sequence record.
Then, the system of the embodiment of the application carries out data fusion processing on the acquired multi-source data through the equipment state detection module, and carries out state detection processing on the fused data to acquire the equipment state. Compared with an intelligent power transformation system in the related art, the power transformation intelligent gateway system provided by the embodiment of the application performs data analysis processing based on multi-source data fusion, and performs data fusion analysis on multi-source data acquired by the multi-source data acquisition module. The embodiment of the application can better integrate and analyze the system data based on the multi-source data fusion, obtain the equipment state by carrying out the state detection processing on the fused data, and also can carry out the state detection on the power equipment, thereby improving the accuracy of the equipment state detection.
Finally, the embodiment of the application sends the equipment state to the cloud master station system through the cloud alarm module, performs fault analysis on the equipment state through the cloud master station system, and alarms according to a fault analysis result. According to the transformer substation intelligent gateway system provided by the embodiment of the application, the information (such as analog quantity data, switching value data, action objects, action values, fault positions, wave recording files, SOE events and the like) reported by the secondary equipment is researched and utilized, the on-line monitoring and intelligent alarming of the state of the secondary equipment are realized at the gateway end of the transformer substation, and alarming information can be sent to a transformer operation supporting master station system, so that the fault diagnosis of the secondary equipment of the transformer substation with cloud-edge coordination is realized.
Further as a preferred embodiment, the multi-source data acquisition module includes a control data acquisition unit, a detection data acquisition unit, and an operation state acquisition unit;
the control data acquisition unit is used for acquiring control data reported by the electric power secondary equipment;
the detection data acquisition unit is used for acquiring detection data reported by the electric power secondary equipment;
the running state acquisition unit is used for acquiring running state data reported by the electric power secondary equipment.
In the embodiment of the application, the multi-source data acquisition module comprises a control data acquisition unit, a detection data acquisition unit and an operation state acquisition unit, wherein the control data reported by the electric power secondary equipment is acquired through the control data acquisition unit, the detection data reported by the electric power secondary equipment is acquired through the detection data acquisition unit, and the operation state data reported by the electric power secondary equipment is acquired through the operation state acquisition unit. The transformer substation system is a system comprising various execution mechanisms such as power transmission, control, detection and operation. The power transformation intelligent gateway system provided by the embodiment of the application is used for carrying out fusion analysis processing on multi-source data, and the multi-source data reported by the power secondary equipment is acquired through the multi-source data acquisition module, wherein the power secondary equipment is auxiliary equipment for monitoring, measuring, controlling, adjusting and protecting the primary equipment of the power system and is equipment which is not directly connected with the electric energy main loop. While the primary device of the power system is a device directly connected with the main circuit of the electric energy, and can comprise a control device, an execution device and the like.
Further as a preferred embodiment, the device state detection module includes a multi-source data fusion unit and a state detection unit;
the multi-source data fusion unit is used for classifying the acquired multi-source data for data use, and carrying out data statistics and association processing on the classified multi-source data to acquire fusion data;
the state detection unit is used for carrying out reference value comparison processing on the fusion data and carrying out comparison analysis by combining historical data to obtain the equipment state.
In the embodiment of the application, the equipment state detection module comprises a multi-source data fusion unit and a state detection unit, wherein the multi-source data fusion unit is used for classifying the acquired multi-source data for data use and carrying out data statistics and association processing on the classified multi-source data to obtain fusion data; the state detection unit is used for carrying out reference value comparison processing on the fusion data and carrying out comparison analysis on the fusion data in combination with the historical data to obtain the equipment state. Because the multi-source data comprises analog data, switching value data, action objects, action values, fault positions, wave recording files, event sequence records and other data, the data are required to be fused through the multi-source data fusion unit, redundant data are reduced, statistics and association processing are carried out on the data, and the relativity between the data of the intelligent power transformation system is improved. And then, carrying out state analysis on the power equipment through a state detection unit according to the fusion data processed by the multi-source data fusion unit, and comparing an analysis result with a reference value, wherein the reference value can be an artificially set equipment threshold value or a factory preset threshold value. And the equipment state is obtained by comparison analysis according to the combination historical data, and the accuracy of equipment state detection can be improved by multi-source data fusion analysis of the equipment state.
Further as a preferred embodiment, the cloud alarm module includes a cloud communication unit and an alarm notification unit;
the cloud communication unit is used for communicating with the cloud master station system, sending the equipment state to the cloud master station system and receiving a fault analysis result returned by the cloud master station system;
and the alarm notification unit is used for searching corresponding fault equipment according to the fault analysis result and sending alarm information to the fault equipment.
In the embodiment of the application, the cloud alarm module comprises a cloud communication unit and an alarm notification unit, wherein the cloud communication unit is communicated with a cloud master station system, sends the equipment state to the cloud master station system and receives a fault analysis result returned by the cloud master station system; the power transformation intelligent gateway system can perform fusion analysis on multi-source data of the power secondary equipment, obtain a primary analysis result through the fusion data, communicate with the cloud master station system, send the primary analysis result to the cloud master station system for secondary analysis verification, and perform cloud cooperation with the cloud master station system through the cloud communication unit. And then, sending a fault analysis result returned by the cloud master station system to an alarm notification unit, searching corresponding fault equipment according to the fault analysis result, and sending alarm information to the fault equipment. It should be noted that, in the embodiment of the present application, the alarm notification unit may also send alarm information to the power transformation intelligent system or the administrator, or may send alarm information to the fault device by means of an indication signal, for example, by notifying the administrator to check the fault information through a short message or a micro-message, and by making the indication signal flash an indication lamp of the fault device.
Further as a preferred embodiment, the multi-source data acquisition module further comprises a data conversion unit;
the data conversion unit is used for carrying out protocol conversion processing on the control data, the detection data and the running state data according to a gateway communication protocol.
In the embodiment of the application, the data conversion unit is used for carrying out protocol conversion processing on the data acquired by the multi-source data acquisition module according to the gateway communication protocol so as to enable the power equipment and the power transformation intelligent system to be interconnected through a network. The transformer intelligent gateway system provided by the embodiment of the application can carry out data communication between two systems which use different communication protocols, data formats or languages and even completely different architectures, so that the acquired data is required to be subjected to protocol conversion through the data conversion unit, and the received information can be repackaged to adapt to the requirements of target systems.
Further as a preferred embodiment, the cloud alarm module further includes a data encryption unit;
the data encryption unit is used for carrying out data encryption processing on communication data of the cloud communication unit and the cloud master station system.
In the embodiment of the application, the data encryption unit is used for carrying out data encryption processing on the communication data of the cloud communication unit and the cloud master station system, so that the state data of the power equipment when the fault occurs is prevented from being modified or checked by an attacker during network attack, and the data encryption unit is used for carrying out encryption processing on the data, thereby further improving the safety of the system.
Further as a preferred embodiment, the system further comprises a firewall exchange module;
the firewall exchange module is used for connecting the multi-source data acquisition module and the electric power secondary equipment, and performing data access processing on the electric power secondary equipment according to an access control strategy.
In the embodiment of the application, the system further comprises a firewall exchange module which is used for connecting the multi-source data acquisition module and the electric power secondary equipment. And the firewall exchange module performs data access processing on the electric power secondary equipment according to the access control strategy, so that data call between the electric power secondary equipment and the power transformation intelligent gateway system can be controlled, and the safety of data in the system can be ensured.
On the other hand, referring to fig. 2, the embodiment of the application further provides a method for controlling a power transformation intelligent gateway based on multi-source data fusion, which is applied to the power transformation intelligent gateway system based on multi-source data fusion as described above, and comprises the following steps:
s101, acquiring multi-source data reported by power secondary equipment, wherein the multi-source data at least comprises analog quantity data, switching value data, an action object, an action value, a fault position, a wave recording file and an event sequence record;
s102, performing data fusion processing on the obtained multi-source data, and performing state detection processing on the fused data to obtain a device state;
s103, the equipment state is sent to a cloud master station system, fault analysis is conducted on the equipment state through the cloud master station system, and alarming is conducted according to a fault analysis result.
Further as a preferred embodiment, the data fusion processing is performed on the obtained multi-source data, and the state detection processing is performed on the fused data, so as to obtain a device state, where the method includes:
classifying the obtained multi-source data for data use, and carrying out data statistics and association processing on the classified multi-source data to obtain fusion data;
and carrying out reference value comparison processing on the fusion data, and carrying out comparison analysis by combining historical data to obtain the equipment state.
Further as a preferred embodiment, the sending the device state to a cloud master station system, performing fault analysis on the device state by the cloud master station system, and alarming according to a fault analysis result, includes:
the cloud master station system is communicated with the cloud master station system, the equipment state is sent to the cloud master station system, and a fault analysis result returned by the cloud master station system is received;
and searching corresponding fault equipment according to the fault analysis result, and sending alarm information to the fault equipment.
It can be understood that the content in the embodiment of the intelligent power transformation gateway system based on multi-source data fusion is applicable to the embodiment of the intelligent power transformation gateway control method based on multi-source data fusion, the functions specifically realized by the embodiment of the intelligent power transformation gateway control method based on multi-source data fusion are the same as those of the embodiment of the intelligent power transformation gateway system based on multi-source data fusion, and the beneficial effects achieved by the embodiment of the intelligent power transformation gateway system based on multi-source data fusion are the same as those achieved by the embodiment of the intelligent power transformation gateway system based on multi-source data fusion.
In the embodiment of the application, the novel power transformation intelligent gateway device can be adopted in the power transformation intelligent gateway system, the novel power transformation intelligent gateway device is provided with the functions of collecting the network access measurement and control, protection, security control and fault recording data of the slave station control layer, the device core is provided with an industrial 104 expansion bus main board, the panel provides basic running state indication lamps, 8 RS-232/422/485 interfaces, 6 10M/100M self-adaptive RJ-45 Ethernet interfaces and PC monitoring and debugging software. The novel power transformation intelligent gateway adopts an AC/DC 110-220V power supply, accords with general standards of products and other main current technical standards, and comprises technical standards of relay, protection and automatic device general technical requirements Q/XJ 20.50-2009, communication network in a transformer substation, system IEC61850 and the like.
The novel transformer intelligent gateway runs an installation program under a WINDOWS system, a window for selecting and installing a catalog appears, a window for selecting and installing a telecontrol or relay protection substation system appears after the window for installing the catalog is selected, a shortcut of a communication service unit debugging tool and a communication service unit configuration tool is arranged on a desktop after the installation, and menu items are added in a start menu. The communication service unit debugging computer and the communication service unit provided with the system are connected to a local area network through the Ethernet, and the currently set debugging network port of the communication service unit is network port 1, namely only network port 1 transmits the broadcasted local network card and software information. And finally, automatically identifying the programs adapted by different operating systems through automatic identification, upgrading programs and system upgrading of the operating systems, and completing the installation of the novel intelligent substation gateway.
The novel power transformation intelligent gateway is a 2U high-standard chassis, is embedded on a screen (cabinet), and comprises a menu bar, a tool bar, a database configuration module, a service configuration module, a protocol function module, a network proxy module, a transfer-out protocol configuration module and an acquisition module. In the debugging process, the novel power transformation intelligent gateway needs to be provided with a data service, an application service, a protocol device, a transmission module and a historic base module, wherein the transmission module comprises a unidirectional transmission module, remote signaling and remote measuring data of a station control layer in a transformer substation are forwarded to an analysis end, and a wave recording file, a constant value area file, a constant value file, a fault report file and a spectrogram file can be generated. And then carrying out database configuration and forwarding configuration on the novel intelligent transformer gateway, wherein a protection device, a wave recording device and an online monitoring device are required to be added into the module configuration in the forwarding configuration. And finally, the intelligent gateway machine is accessed to an application program for configuration, and the configuration can be directly realized by modifying a configuration file. The embodiment uses the novel intelligent gateway to acquire the multi-source data set of the secondary equipment of the transformer substation, and can acquire the multi-source data to perform data processing such as storage, transmission and the like.
Corresponding to the method of fig. 2, the embodiment of the application also provides an electronic device, which comprises a processor and a memory; the memory is used for storing programs; the processor executes the program to implement the method as described above.
Corresponding to the method of fig. 2, an embodiment of the present application also provides a computer-readable storage medium storing a program to be executed by a processor to implement the method as described above.
Embodiments of the present application also disclose a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions may be read from a computer-readable storage medium by a processor of a computer device, and executed by the processor, to cause the computer device to perform the method shown in fig. 2.
In the related art, each module in the intelligent substation respectively performs data acquisition and data processing, so that the information island problem of the intelligent substation is outstanding, and the intelligent degree is low.
In summary, the embodiment of the application has the advantages that the device state detection module performs data fusion processing on the acquired multi-source data, and performs state detection processing on the fused data to acquire the device state; the embodiment of the application can integrate multi-source data of the electric power secondary equipment, perform unified data processing on each module, reduce the influence of data islands in the system and improve the accuracy of equipment state detection.
In some alternative embodiments, the functions/acts noted in the block diagrams may occur out of the order noted in the operational illustrations. 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/acts involved. Furthermore, the embodiments presented and described in the flowcharts of the present application are provided by way of example in order to provide a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed, and in which sub-operations described as part of a larger operation are performed independently.
Furthermore, while the application is described in the context of functional modules, it should be appreciated that, unless otherwise indicated, one or more of the described functions and/or features may be integrated in a single physical device and/or software module or one or more functions and/or features may be implemented in separate physical devices or software modules. It will also be appreciated that a detailed discussion of the actual implementation of each module is not necessary to an understanding of the present application. Rather, the actual implementation of the various functional modules in the apparatus disclosed herein will be apparent to those skilled in the art from consideration of their attributes, functions and internal relationships. Accordingly, one of ordinary skill in the art can implement the application as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are merely illustrative and are not intended to be limiting upon the scope of the application, which is to be defined in the appended claims and their full scope of equivalents.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present application have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the application, the scope of which is defined by the claims and their equivalents.
While the preferred embodiment of the present application has been described in detail, the present application is not limited to the embodiments described above, and those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present application, and these equivalent modifications or substitutions are included in the scope of the present application as defined in the appended claims.

Claims (10)

1. A power transformation intelligent gateway system based on multi-source data fusion, characterized in that the power transformation intelligent gateway system comprises: the device comprises a multi-source data acquisition module, a device state detection module and a cloud alarm module;
the multi-source data acquisition module is used for acquiring multi-source data reported by the electric power secondary equipment, wherein the multi-source data at least comprises analog quantity data, switching value data, an action object, an action value, a fault position, a wave recording file and an event sequence record;
the device state detection module is used for carrying out data fusion processing on the obtained multi-source data and carrying out state detection processing on the fused data to obtain a device state;
the cloud warning module is used for sending the equipment state to a cloud master station system, carrying out fault analysis on the equipment state through the cloud master station system, and warning according to a fault analysis result.
2. The power transformation intelligent gateway system according to claim 1, wherein the multi-source data acquisition module comprises a control data acquisition unit, a detection data acquisition unit and an operation state acquisition unit;
the control data acquisition unit is used for acquiring control data reported by the electric power secondary equipment;
the detection data acquisition unit is used for acquiring detection data reported by the electric power secondary equipment;
the running state acquisition unit is used for acquiring running state data reported by the electric power secondary equipment.
3. The power transformation intelligent gateway system according to claim 1, wherein the device state detection module comprises a multi-source data fusion unit and a state detection unit;
the multi-source data fusion unit is used for classifying the acquired multi-source data for data use, and carrying out data statistics and association processing on the classified multi-source data to acquire fusion data;
the state detection unit is used for carrying out reference value comparison processing on the fusion data and carrying out comparison analysis by combining historical data to obtain the equipment state.
4. The power transformation intelligent gateway system according to claim 1, wherein the cloud alert module comprises a cloud communication unit and an alert notification unit;
the cloud communication unit is used for communicating with the cloud master station system, sending the equipment state to the cloud master station system and receiving a fault analysis result returned by the cloud master station system;
and the alarm notification unit is used for searching corresponding fault equipment according to the fault analysis result and sending alarm information to the fault equipment.
5. The electrical transformation intelligent gateway system of claim 2, wherein the multi-source data acquisition module further comprises a data conversion unit;
the data conversion unit is used for carrying out protocol conversion processing on the control data, the detection data and the running state data according to a gateway communication protocol.
6. The power transformation intelligent gateway system according to claim 4, wherein the cloud alert module further comprises a data encryption unit;
the data encryption unit is used for carrying out data encryption processing on communication data of the cloud communication unit and the cloud master station system.
7. The electrical transformation intelligent gateway system of claim 1, further comprising a firewall switching module;
the firewall exchange module is used for connecting the multi-source data acquisition module and the electric power secondary equipment, and performing data access processing on the electric power secondary equipment according to an access control strategy.
8. A power transformation intelligent gateway control method based on multi-source data fusion, which is applied to the power transformation intelligent gateway system according to any one of claims 1-7, and is characterized in that the method comprises the following steps:
the method comprises the steps of obtaining multi-source data reported by power secondary equipment, wherein the multi-source data at least comprise analog quantity data, switching value data, action objects, action values, fault positions, wave recording files and event sequence records;
carrying out data fusion processing on the obtained multi-source data, and carrying out state detection processing on the fused data to obtain the equipment state;
and sending the equipment state to a cloud master station system, carrying out fault analysis on the equipment state through the cloud master station system, and carrying out alarm according to a fault analysis result.
9. The method of claim 8, wherein the performing data fusion processing on the obtained multi-source data and performing state detection processing on the fused data to obtain a device state includes:
classifying the obtained multi-source data for data use, and carrying out data statistics and association processing on the classified multi-source data to obtain fusion data;
and carrying out reference value comparison processing on the fusion data, and carrying out comparison analysis by combining historical data to obtain the equipment state.
10. The method of claim 8, wherein the sending the device state to a cloud master station system, performing fault analysis on the device state by the cloud master station system, and alerting according to a result of the fault analysis, comprises:
the cloud master station system is communicated with the cloud master station system, the equipment state is sent to the cloud master station system, and a fault analysis result returned by the cloud master station system is received;
and searching corresponding fault equipment according to the fault analysis result, and sending alarm information to the fault equipment.
CN202310531733.7A 2023-05-11 2023-05-11 Multi-source data fusion-based power transformation intelligent gateway system Pending CN116668261A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117674421A (en) * 2023-12-06 2024-03-08 北京京能清洁能源电力股份有限公司内蒙古分公司 Digital twin power grid data transmission system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117674421A (en) * 2023-12-06 2024-03-08 北京京能清洁能源电力股份有限公司内蒙古分公司 Digital twin power grid data transmission system

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