CN115313625A - Transformer substation monitoring method and system - Google Patents
Transformer substation monitoring method and system Download PDFInfo
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- CN115313625A CN115313625A CN202210789116.2A CN202210789116A CN115313625A CN 115313625 A CN115313625 A CN 115313625A CN 202210789116 A CN202210789116 A CN 202210789116A CN 115313625 A CN115313625 A CN 115313625A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02B—BOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
- H02B1/00—Frameworks, boards, panels, desks, casings; Details of substations or switching arrangements
- H02B1/24—Circuit arrangements for boards or switchyards
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00034—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving an electric power substation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/16—Electric power substations
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Human Computer Interaction (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The application relates to a transformer substation monitoring method, a transformer substation monitoring system, computer equipment in the transformer substation monitoring system and a storage medium. The method comprises the following steps: the equipment monitoring module dynamically detects the equipment states of each equipment and the metering device in the transformer substation, and performs fault analysis on the detected fault condition to obtain first monitoring data; the main control board module analyzes the operation data and the first monitoring data of the equipment monitoring module to obtain second monitoring data; and the substation monitoring terminal analyzes the first monitoring data and the second monitoring data to obtain a monitoring result of the substation. By adopting the method, the first monitoring data and the second monitoring data can be analyzed in a multi-dimensional mode, the first monitoring data is used as a main analysis, the second monitoring data is used as an auxiliary analysis, the real-time operation condition of the transformer substation can be mastered more efficiently, the hidden fault danger of the transformer substation can be found in advance, the fault of the transformer substation can be predicted and warned, and therefore the loss caused by the fault is reduced, and the influence is reduced.
Description
Technical Field
The present application relates to the field of substation detection technologies, and in particular, to a substation monitoring method, system, computer device, storage medium, and computer program product.
Background
Along with the continuous development of social science and technology and the continuous improvement of people's standard of living, people are to the demand of electric power constantly increase, consequently need vigorously to develop electric power system, in order to adapt to the power consumption demand of heavy load, guarantee the reliable transmission of electric energy, more and more transformer substations drop into use, transformer substation on-line monitoring system carries out dynamic control to substation equipment's operating condition, the environmental parameter of arrangement statistics, the data of monitoring and collecting are studied in the time of the control, according to the fault that research result analysis and prediction transformer substation probably appear, independently carry out the police dispatch after discerning the fault risk.
However, in the past, the transformer substation is detected and repaired in a mode of combining manual overhaul and fault overhaul, and the method is high in labor and financial cost and low in overhaul quality. Moreover, the repair and maintenance process is complicated and requires a long time.
Disclosure of Invention
In view of the above, it is necessary to provide a substation monitoring method, a substation monitoring system, and a computer device, a computer readable storage medium, and a computer program product in the substation monitoring system, which can improve efficiency.
In a first aspect, the application provides a substation monitoring method. The method comprises the following steps:
the equipment monitoring module dynamically detects the equipment states of each equipment and the metering device in the transformer substation, and performs fault analysis on the detected fault condition to obtain first monitoring data;
the main control board module analyzes the operation data of the equipment monitoring module and the first monitoring data to obtain second monitoring data;
the transformer substation monitoring terminal analyzes the first monitoring data and the second monitoring data to obtain a monitoring result of the transformer substation;
and the equipment monitoring module, the main control board module and the transformer substation monitoring terminal perform data interaction through the Internet of things.
In one embodiment, the equipment monitoring module comprises a temperature sensor submodule and a state monitoring submodule; the equipment monitoring module carries out dynamic detection to each equipment in the transformer substation and metering device's equipment state, carries out failure analysis to the fault condition that obtains detecting, obtains first monitoring data, includes:
the temperature sensor submodule dynamically detects temperature change data of a working environment where the transformer substation is located, and when the transformer substation single chip microcomputer system obtains the temperature change data, the temperature change data are sent to the transformer substation single chip microcomputer system to be displayed;
the state monitoring submodule dynamically detects state detection information of the substation relay protection device, information sharing and interaction between the device monitoring module and the substation monitoring terminal are carried out, and first monitoring data are obtained.
In one embodiment, the equipment monitoring module comprises an equipment configuration management submodule and a system management submodule, and the equipment and the metering device are equipment and metering devices after system management; the method further comprises the following steps:
the equipment configuration management submodule is used for carrying out at least one of equipment addition and deletion on the initial equipment and the metering device to obtain the equipment and the metering device after equipment configuration management;
and the equipment and the metering device after the equipment configuration management are managed, and the user login and account information is managed through the system management submodule to obtain the equipment and the metering device after the system management.
In one embodiment, the device monitoring module comprises a system maintenance management submodule and a system debugging management submodule; the fault analysis of the fault condition obtained by detection includes:
the system maintenance management submodule arranges and analyzes the detected fault conditions according to types when a user logs in the system;
correspondingly, the method further comprises the following steps: and the system debugging management submodule determines communication parameters, and communication debugging software carries out communication test and analysis on the transformer substation monitoring system based on the communication parameters.
In one embodiment, the main control board module comprises a data acquisition sub-module, a state confirmation sub-module and a data transmission sub-module; the main control board module analyzes the operation data of the equipment monitoring module and the first monitoring data to obtain second monitoring data, and the method comprises the following steps:
the data acquisition submodule performs parameter detection on the operating data of the equipment monitoring module and the first monitoring data and transmits the result of the parameter detection to a corresponding state confirmation submodule of the transformer substation through communication protocol data;
the state confirmation submodule analyzes according to the parameter detection result to obtain second monitoring data, and the second monitoring data are used for representing the operation state of the transformer substation monitoring system; and the second monitoring data is sent to the substation monitoring terminal through the data transmission sub-module.
In one embodiment, the substation monitoring terminal comprises an alarm module, and the substation monitoring result comprises a fault reason; based on the transformer substation monitoring terminal, the monitoring data of the equipment monitoring module and the monitoring data of the main control board module are analyzed to obtain the monitoring result of the transformer substation, and the method comprises the following steps:
based on the alarm module, comparing the first monitoring data and the second monitoring data with corresponding threshold values respectively to obtain comparison results;
and the alarm module alarms when the monitoring data is determined to exceed the threshold value according to the comparison result so that the management object can analyze the monitoring data to obtain the fault reason.
In one embodiment, the first monitored data and the second monitored data are real-time data generated by a substation power distribution system.
In one embodiment, the method further comprises:
when the main control board module detects the occurrence of the fault in real time through the second monitoring data, the main control board module transmits a signal of the occurrence of the fault, and records and processes abnormal parameters of the transformer substation during the fault;
the abnormal parameters of the transformer substation comprise the operation data and first monitoring data.
In one embodiment, the method further comprises:
the method comprises the steps that a database storage module integrates first monitoring data and second monitoring data of a transformer substation detection system;
and sorting and storing the first monitoring data and the second monitoring data.
In a second aspect, the application further provides a substation monitoring system. The system comprises:
the equipment monitoring module is used for dynamically detecting the equipment states of the equipment and the metering device, and performing fault analysis on the detected fault condition to obtain first monitoring data; the first monitoring data are sent to a database storage module through the Internet of things;
the main control board module is used for collecting the first monitoring data from the database storage module, and analyzing the data of the equipment monitoring module and the first monitoring data to obtain second monitoring data; the data of the equipment monitoring module and the second monitoring data are used for generating a transformer substation monitoring result through a transformer substation monitoring terminal;
the transformer substation monitoring terminal is used for analyzing the first monitoring data and the second monitoring data to obtain a monitoring result of the transformer substation;
and the equipment monitoring module, the main control board module and the transformer substation monitoring terminal perform data interaction through the Internet of things.
In a third aspect, the application further provides computer equipment of the substation monitoring system. Each computer device comprises a memory and a processor, the memory stores a computer program, and the processor realizes the substation monitoring step corresponding to each module or sub-module when executing the computer program.
In a fourth aspect, the present application further provides a computer-readable storage medium of a substation monitoring system. The computer readable storage medium stores thereon a computer program, and the computer program in each module or sub-module when executed by the processor implements the substation monitoring step corresponding to each module or sub-module.
In a fifth aspect, the present application further provides a computer program product of a power station monitoring system. The computer program product in each module or sub-module comprises a computer program which, when executed by the processor, implements the substation monitoring step corresponding to each module or sub-module.
According to the transformer substation monitoring method, the transformer substation monitoring system, the computer equipment, the storage medium and the computer program product in the transformer substation monitoring system, the equipment monitoring module dynamically detects the equipment states of each equipment and the metering device in the transformer substation, and performs fault analysis on the detected fault condition to obtain first monitoring data, wherein the first monitoring data is a new data analysis dimension; the main control board module analyzes the operation data of the equipment monitoring module and the first monitoring data to obtain second monitoring data, and the second monitoring data is a dimension which is innovated again on the basis of a new data analysis dimension; the transformer substation monitoring terminal analyzes the first monitoring data and the second monitoring data in a multidimensional way, mainly analyzes the first monitoring data and assists the second monitoring data, can more efficiently master the real-time operation condition of the transformer substation, can discover the hidden fault danger of the transformer substation in advance, predicts and warns the fault of the transformer substation, and accordingly reduces the loss caused by the fault and reduces the influence.
Drawings
Fig. 1 is a diagram of an application environment of a substation monitoring method in one embodiment;
FIG. 2 is a schematic flow diagram of a substation monitoring method in one embodiment;
FIG. 3 is a block diagram of a substation monitoring device in one embodiment;
FIG. 4 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The transformer substation monitoring method provided by the embodiment of the application can be applied to the application environment shown in fig. 1. Wherein the substation detection system 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104, or may be located on the cloud or other network server. The transformer substation detection system 102 comprises an equipment monitoring module, a main control panel module and a transformer substation monitoring terminal, wherein the equipment monitoring module is used for dynamically detecting the equipment states of each equipment and a metering device in the transformer substation and analyzing the detected fault conditions to obtain first monitoring data; the main control board module analyzes the operation data of the equipment monitoring module and the first monitoring data to obtain second monitoring data; the transformer substation monitoring terminal analyzes the first monitoring data and the second monitoring data to obtain a monitoring result of the transformer substation; and the equipment monitoring module, the main control board module and the transformer substation monitoring terminal perform data interaction through the Internet of things.
In one embodiment, a module of the substation monitoring terminal is explained and comprises a single chip microcomputer module, a display module, a sensor module, a key module, a power module and an alarm module, wherein the alarm module is used for comparing monitored data with a set maximum limit value, if actual data exceeds the set maximum value, an alarm system makes a response, and a manager analyzes the data to obtain a fault reason.
The transformer substation monitoring terminal 102 can be but not limited to various personal computers, notebook computers, smart phones, tablet computers, internet of things devices and portable wearable devices, and the internet of things devices can be smart sound boxes, smart televisions, smart air conditioners, smart vehicle-mounted devices and the like. The portable wearable device can be a smart watch, a smart bracelet, a head-mounted device, and the like. The server 104 may be implemented as a stand-alone server or as a server cluster comprised of multiple servers. The scheme provided by the embodiment of the application is realized by the terminal 102.
In one embodiment, as shown in fig. 2, there is provided a substation monitoring method, which is illustrated by applying the method to the substation detection system in fig. 1, and includes the following steps:
The equipment monitoring module is equipment of the Internet of things in the transformer substation area, and the equipment of the Internet of things dynamically monitors real-time data of each piece of equipment and each metering device in the transformer substation area to obtain the equipment state of the transformer substation; and then, fault analysis is carried out on the equipment state of the transformer substation through basic data of each equipment and the metering device, and the fault analysis result is counted to obtain the fault conditions of the equipment and the metering device. Wherein, the basic data is the data of normal operation of the equipment and the metering device; once the real-time data of a certain device and metering device is different from the basic data, the device and the metering device are determined to have possible abnormity. The basic data of each device and each metering device specifically includes terminal events of the device and the metering device, and the voltage of the master station software.
The equipment of the transformer substation refers to equipment of the transformer substation, which comprises equipment for directly producing, transmitting, distributing and/or using electric energy, and mainly comprises one or more of equipment such as a transformer, a high-voltage circuit breaker, a disconnecting switch, a bus, a lightning arrester, a capacitor and a reactor. The metering device of the transformer substation refers to equipment for measuring, monitoring, controlling and protecting the operation conditions of the equipment of the transformer substation.
In one example, the equipment state of the equipment and the metering device is monitored by the equipment and the metering device as a whole. On the basis that corresponding equipment data are obtained through a metering device of the equipment, the equipment and the metering device are checked through an equipment monitoring module again, and the fault with the fuzzy reason is analyzed to obtain the first monitoring data, so that the first monitoring data are obtained more efficiently.
The first monitoring data are main data analyzed in the substation monitoring system, are obtained by analyzing the combination of equipment and metering devices, can provide a new data dimension different from the primary equipment and the secondary equipment of a traditional nuclear power station, and are helpful for analyzing the state of the substation efficiently and timely.
In one embodiment, the device monitoring module includes a temperature sensor sub-module and a status monitoring sub-module; the equipment monitoring module carries out dynamic detection to each equipment in the transformer substation and metering device's equipment state, carries out failure analysis to the fault condition that detects gained, obtains first monitoring data, includes: the temperature sensor submodule dynamically detects temperature change data of a working environment where the transformer substation is located, and when the transformer substation single chip microcomputer system obtains the temperature change data, the temperature change data are sent to the transformer substation single chip microcomputer system to be displayed; the state monitoring submodule dynamically detects state detection information of the substation relay protection device, information sharing and interaction between the device monitoring module and a substation monitoring terminal are carried out, and first monitoring data are obtained.
The temperature change data of the working environment is the temperature change of the working environment in the transformer station area, and the temperature is related to the working state, so that the temperature change data is used as the most basic data to be displayed, the corresponding state is distinguished through the temperature change data, and the single chip microcomputer system of the transformer station obtains and displays the related temperature data so as to record and analyze the fault.
Under different temperatures, information sharing and interaction between the equipment monitoring module and the substation monitoring terminal are carried out, multi-dimensional analysis is carried out on the operation data and the first monitoring data of the equipment monitoring module, and the equipment monitoring module can be matched with artificial intelligence and the Internet of things to carry out more efficient analysis and detection.
Optionally, the device monitoring module further includes a device data management sub-module, and the device data management sub-module is configured to manage, query curves and record history data reports of the operating data and data reports of the first monitoring data, and implement data management such as sorting, printing and clearing of data in different links.
In one embodiment, the equipment monitoring module comprises an equipment configuration management submodule and a system management submodule, and the equipment and the metering device are equipment and metering devices after system management; the method further comprises the following steps: the equipment configuration management submodule is used for carrying out at least one of equipment configuration management of equipment addition and deletion on the initial equipment and the metering device to obtain the equipment and the metering device after the equipment configuration management; and configuring the equipment and the metering device after the equipment is managed, and managing user login and account information through the system management submodule to obtain the equipment and the metering device after the system management.
The user login is login management which comprises the steps of managing user account information, transformer substation names, query parameters and erasing work of data; and the account information management comprises the management of user increase and decrease, user authority and login management.
The initial equipment and metering devices may or may not be configured. And when the original equipment and the metering device perform at least one of equipment configuration management of equipment addition and deletion, the equipment and the metering device dynamically monitored by the equipment monitoring module are changed into the equipment and the metering device after the equipment configuration management. After the equipment and the metering device after the equipment configuration management is performed manages the user login and account information through the system management submodule, the equipment and the metering device dynamically monitored by the equipment monitoring module become the equipment and the metering device after the system management. Therefore, the management process of the power station monitoring system is decoupled through equipment configuration and system management, data management is carried out according to multiple dimensions, and monitored equipment and a metering device are adjusted timely and efficiently.
In one embodiment, the equipment monitoring module comprises a system maintenance management submodule and a system debugging management submodule; and carrying out fault analysis on the detected fault condition, wherein the fault analysis comprises the following steps: when a user logs in the system, the system maintenance management submodule sorts and analyzes the detected fault conditions according to types; correspondingly, the method also comprises the following steps: and the system debugging management submodule determines communication parameters, and the communication debugging software carries out communication test and analysis on the transformer substation monitoring system based on the communication parameters.
In one embodiment, when a user logs in the system, the system maintenance management submodule sorts and analyzes the detected fault conditions according to types, including: the system maintenance management submodule analyzes the detected fault conditions according to the fault conditions, determines different types of fault clearing modes, and solves the problems in the transformer substation monitoring system through the various types of fault clearing modes so as to improve the maintenance efficiency. Therefore, the process that the user logs in the system is detected through the independently decoupled system maintenance management sub-module, so that data sorting is performed when the user logs in the system, and a fault clearing mode is obtained efficiently.
Correspondingly, the system debugging management submodule determines communication parameters, and communication debugging software carries out communication test and analysis on the transformer substation monitoring system based on the communication parameters, and the communication test and analysis comprise the following steps: after the system debugging management submodule determines the communication parameters, the communication debugging software carries out communication test and analysis on the transformer substation monitoring system based on the communication parameters so as to specially monitor the state of signal transmission and judge the basic communication parameters of the transformer substation monitoring system. Therefore, the faults of the substation monitoring system can be determined more efficiently through the two pieces of equipment of the internet of things in a fault clearing mode of the two sub-modules and communication testing.
And 204, analyzing the operation data and the first monitoring data of the equipment monitoring module by the main control board module to obtain second monitoring data.
The main control board module is an internet of things device for collecting, calculating and analyzing operation data and first monitoring data of the device monitoring module. The main control board module takes the operation data of the equipment monitoring module and the first monitoring data output by the equipment monitoring module as a set, analyzes the data in the set, and determines second monitoring data based on the analysis result. The second monitoring data is used for analyzing the operation data and the first monitoring data of the equipment monitoring module, and the second monitoring data is used as basic data to detect faults in real time, so that corresponding signals are fed back in time when the equipment monitoring module, each device in the transformer substation and the metering device do not find the abnormal condition of the transformer substation, and the transformer substation abnormity in the fault period is recorded and processed in time.
The operation data of the equipment monitoring module is data for dynamically detecting the equipment states of each equipment and metering device in the transformer substation by the equipment monitoring module, belongs to one of the operation data of the equipment of the Internet of things, is used for providing a new data analysis dimension, can analyze the equipment and the metering device more efficiently, and can detect the equipment monitoring module.
In one example, the use of the second monitoring data is described; the second monitoring data is used for assisting the first monitoring data in detection, and is confirmed from a new data analysis dimension of the operation data of the equipment monitoring module and the first monitoring data, so that the detection result of the transformer substation is obtained more efficiently; the second monitoring data is also the result of collecting, calculating and analyzing the operation data of each equipment monitoring module, and is used for comparing the data of each equipment monitoring module, and determining whether the operation state of each equipment monitoring module is normal or not based on the comparison result.
In one embodiment, the first monitored data and the second monitored data are real-time data generated by the substation distribution system. The distribution system of the transformer substation is a necessary intermediate link between a power supply grid and a user load, and is collectively called an electric power grid with a power transmission grid. Compared with the monitoring of the power transmission network, the monitoring of the distribution system of the transformer substation is more timely, and the faults or problems of the whole power transmission network can be indirectly inferred through the combination of the first monitoring data and the second monitoring data without monitoring the power transmission network, so that the monitoring result of the transformer substation, the monitoring method of the transformer substation and the monitoring method of the transformer substation can be efficiently and accurately monitored,
In one embodiment, the method further comprises: when the main control board module detects the occurrence of the fault in real time through the second monitoring data, the main control board module transmits a signal of the occurrence of the fault, and records and processes abnormal parameters of the transformer substation during the fault; the abnormal parameters of the transformer substation comprise operation data and first monitoring data. Therefore, the main control board module monitors the equipment monitoring module in real time through the second monitoring data, so that each equipment and a metering device in the transformer substation are monitored in real time, various faults occurring in the equipment monitoring module are described, the main control board module records corresponding abnormal parameters of the transformer substation, the corresponding abnormal parameters of the transformer substation recorded by the main control board module are compared with data in the database storage module, and the abnormal parameters of the transformer substation in the fault period are determined more efficiently.
In one embodiment, the main control board module comprises a data acquisition sub-module, a state confirmation sub-module and a data transmission sub-module; the master control board module analyzes the operation data and the first monitoring data of the equipment monitoring module to obtain second monitoring data, and the method comprises the following steps: the data acquisition submodule carries out parameter detection on the operation data and the first monitoring data of the equipment monitoring module and transmits the result of the parameter detection to a corresponding state confirmation submodule of the transformer substation through communication protocol data; the state confirmation submodule analyzes according to the parameter detection result to obtain second monitoring data, and the second monitoring data are used for representing the operation state of the transformer substation monitoring system; and the second monitoring data are sent to the substation monitoring terminal through the data transmission sub-module.
And step 206, the substation monitoring terminal analyzes the first monitoring data and the second monitoring data to obtain a monitoring result of the substation.
The transformer substation monitoring terminal is a general control system and also belongs to the Internet of things equipment. The first monitoring data transmitted by the equipment monitoring module and the second monitoring data transmitted by the main control board module are displayed through the substation monitoring terminal.
In one embodiment, the analyzing, by the substation monitoring terminal, the first monitoring data and the second monitoring data to obtain a monitoring result of the substation includes: analyzing the combination of the first monitoring data and the second monitoring data based on the artificial intelligence of the transformer substation monitoring terminal, roughly estimating a fault reason through the first monitoring data, and taking the fault reason obtained through rough estimation as a fault estimation result of the first monitoring data; meanwhile, the first monitoring data are analyzed through the second monitoring data, so that the obtained monitoring result of the transformer substation is more efficient.
The data interaction among the equipment monitoring module, the main control board module and the transformer substation monitoring terminal is carried out through the Internet of things. In this embodiment, equipment monitoring module, main control panel module and transformer substation monitoring terminal all belong to thing networking device, can realize intelligent discernment, location, tracking, control and management between these thing networking devices, and then determine the fault cause more efficiently to analyze the fault cause, determine the root cause of trouble, with the maintenance strategy that corresponds is confirmed to the root cause based on the trouble.
Furthermore, data interaction is carried out among the equipment monitoring module, the main control board module and the transformer substation monitoring terminal through the Internet of things and artificial intelligence. For example: before data transmission is carried out among the equipment monitoring module, the main control board module and the transformer substation monitoring terminal, based on the flow direction of at least one of the operation data, the first monitoring data and the second monitoring data of the artificial intelligent analysis equipment monitoring module, signal exchange is carried out according to the determined flow direction of the data, and communication of the equipment of the internet of things is achieved.
In one embodiment, the exchanging of signals according to the determined data flow direction based on the flow direction of at least one of the operation data of the monitoring module of the artificial intelligence analysis device, the first monitoring data and the second monitoring data comprises: after the equipment monitoring module obtains the first monitoring data, the equipment monitoring module stores the self operating data and the first monitoring data in the database storage module and sends the self operating data and the first monitoring data to the main control board module; and the main control board module analyzes the data volume through artificial intelligence and determines a way for the main control board module to acquire the operation data and the first monitoring data of the equipment monitoring module.
In one embodiment, the method for analyzing the data volume by artificial intelligence at the main control board module and determining the way for the main control board module to acquire the operation data and the first monitoring data of the device monitoring module includes: comparing the quantity of the relay Internet of things equipment of the main control board module and the database storage module with the quantity of the relay Internet of things equipment of the main control board module and the equipment monitoring module to obtain a quantity comparison result of the relay Internet of things equipment; judging the path with less relay Internet of things equipment as a target path based on the comparison result of the number of the relay Internet of things equipment; and determining the target path as a path for the main control board module to acquire the operation data and the first monitoring data of the equipment monitoring module.
In one embodiment, the substation monitoring terminal comprises an alarm module, and the substation monitoring result comprises a fault reason; based on the monitoring terminal of transformer substation, carry out the analysis to the monitoring data of equipment monitoring module and the monitoring data of master control board module, obtain the monitoring result of transformer substation, include: based on the alarm module, comparing the first monitoring data and the second monitoring data with corresponding threshold values respectively to obtain comparison results; and the alarm module alarms when the monitoring data exceeds the threshold value according to the comparison result so that the management object analyzes the monitoring data to obtain the fault reason. It can be understood that when the artificial intelligence in the substation monitoring terminal carries out data monitoring and determines the fault of the monitoring result of the substation, the artificial intelligence can directly alarm so that a robot or a manager and other management objects can analyze the monitoring data.
In one embodiment, the method further comprises: the method comprises the steps that a database storage module integrates first monitoring data and second monitoring data of a transformer substation detection system; and sorting and storing the first monitoring data and the second monitoring data. From this, can call arrangement and the first monitoring data and the second monitoring data after the storage at any time, and can with the mutual impression of the data of storage in the master control board module to improve the high efficiency degree of transformer substation's monitoring.
According to the transformer substation monitoring method, the first monitoring data is used as the main part, the second monitoring data is used for multiple assistance, and the transformer substation operation parameters can be monitored more efficiently through the Internet of things and artificial intelligence information transmission, so that the actual operation condition of the transformer substation can be mastered in real time, the potential fault hazard of the transformer substation can be found in advance, the fault of the transformer substation can be predicted and warned, and therefore the loss caused by the fault is reduced, and the influence is reduced. Therefore, the real-time state information of the substation equipment can be known more efficiently in the power system, maintenance and maintenance measures are taken according to actual conditions, the safe and reliable operation of a power grid is guaranteed, the occurrence frequency of power failure problems is reduced, the power equipment is better used, the safety of the substation protection system is enhanced, and the consumption of manpower, material resources and financial resources in the maintenance link is reduced.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the application also provides a transformer substation monitoring system for realizing the transformer substation monitoring method. The implementation scheme for solving the problem provided by the system is similar to the implementation scheme recorded in the method, so specific limitations in one or more transformer substation monitoring system embodiments provided below can be referred to the limitations on the transformer substation monitoring method in the foregoing, and details are not described herein again.
In one embodiment, as shown in fig. 3, there is provided a substation monitoring system comprising: device monitoring module 302, main control board module 304 and transformer substation monitoring terminal 306, wherein:
the equipment monitoring module 302 is used for dynamically detecting the equipment states of the equipment and the metering device, and performing fault analysis on the detected fault condition to obtain first monitoring data; the first monitoring data are sent to a database storage module through the Internet of things;
a main control board module 304, configured to collect the first monitoring data from the database storage module, and analyze the data of the device monitoring module 302 and the first monitoring data to obtain second monitoring data; the data of the device monitoring module 302 and the second monitoring data are used for generating a substation monitoring result through a substation monitoring terminal 306;
the substation monitoring terminal 306 is configured to analyze the first monitoring data and the second monitoring data to obtain a monitoring result of the substation;
data interaction among the device monitoring module 302, the main control board module 304 and the substation monitoring terminal 306 is performed through the internet of things.
In one embodiment, the device monitoring module 302 includes a temperature sensor sub-module and a status monitoring sub-module;
the temperature sensor submodule is used for dynamically detecting temperature change data of a working environment where the transformer substation is located, and when the transformer substation single chip microcomputer system obtains the temperature change data, the temperature change data is sent to the transformer substation single chip microcomputer system to be displayed;
the state monitoring submodule is configured to dynamically detect state detection information of the relay protection device of the substation, perform information sharing and interaction between the device monitoring submodule 302 and the substation monitoring terminal 306, and obtain first monitoring data.
In one embodiment, the device monitoring module 302 includes a device configuration management submodule and a system management submodule, wherein:
the device configuration management submodule is used for carrying out at least one of device configuration management of adding and deleting devices on the initial device and the metering device to obtain the device and the metering device after device configuration management;
and the system management submodule is used for configuring the equipment and the metering device after management, managing user login and account information and obtaining the equipment and the metering device after system management.
In one embodiment, the device monitoring module 302 includes a system maintenance management submodule and a system debugging management submodule; wherein:
the system maintenance management submodule is used for sorting and analyzing the detected fault conditions according to types when a user logs in the system;
correspondingly, the system debugging management submodule is used for determining communication parameters, and communication debugging software carries out communication test and analysis on the transformer substation monitoring system based on the communication parameters.
In one embodiment, the main control board module 304 includes a data acquisition sub-module, a status confirmation sub-module, and a data transmission sub-module; wherein:
the data acquisition submodule is configured to perform parameter detection on the operating data of the device monitoring module 302 and the first monitoring data, and transmit a result of the parameter detection to a state confirmation submodule corresponding to the transformer substation through communication protocol data;
the state confirmation submodule is used for analyzing according to the parameter detection result to obtain second monitoring data, and the second monitoring data are used for representing the operation state of the transformer substation monitoring system;
the data transmission submodule is configured to send the second monitoring data to the substation monitoring terminal 306.
In one embodiment, the substation monitoring terminal 306 includes an alarm module, and the substation monitoring result includes a fault reason; wherein, include:
the alarm module is used for respectively comparing the first monitoring data and the second monitoring data with corresponding threshold values to obtain comparison results;
and the alarm module is also used for giving an alarm when the monitoring data exceeds the threshold value according to the comparison result so that the monitoring data is analyzed by the management object to obtain the fault reason.
In one embodiment, the first monitored data and the second monitored data are real-time data generated by a substation power distribution system.
In one embodiment, when the main control board module 304 detects occurrence of a fault in real time through the second monitoring data, the main control board module 304 is configured to transmit a signal indicating the occurrence of the fault, and record and process abnormal parameters of the substation during the fault; the abnormal parameters of the transformer substation comprise the operation data and first monitoring data.
In one embodiment, the database storage module is further used for integrating the first monitoring data and the second monitoring data of the substation detection system; and sorting and storing the first monitoring data and the second monitoring data.
All or part of each module in the substation monitoring system can be realized through software, hardware and a combination of the software and the hardware. The modules are embedded in a hardware form or independent of a processor in computer equipment, so that the processor calls and executes operations corresponding to the modules.
The system detects the temperature change of the working environment of the transformer substation through a temperature sensor submodule, realizes information sharing and communication between equipment information and a computer through a state monitoring submodule, completes the work of analyzing and monitoring data, manages a data report through an equipment data management submodule, inquires a curve and records history, realizes the work of sorting, printing and clearing data in different links, then carries out parameter detection on transformer substation equipment through a data acquisition submodule, realizes information data sharing with the transformer substation through a communication protocol, carries out analysis and confirmation through a data transmission state confirmation submodule after preprocessing and centralized processing, transmits the data to a management board of the transformer substation through a data transmission submodule after the equipment operation state is confirmed, can know the actual operation state of the transformer substation in real time through monitoring the operation parameters of the transformer substation, can find out the fault hidden danger of the transformer substation in advance, predicts and warns the fault of the transformer substation, thereby reduces the loss and influence caused by the fault, is used for a power system, can know the real-time state information of the transformer substation equipment, and adopts corresponding overhaul and maintenance measures according to the actual situation, which has great significance for ensuring safe and reliable operation of a power grid; the power failure problem occurrence frequency is reduced to a great extent, power equipment is better used, the safety of a transformer substation protection system is enhanced, and in addition, the consumption of manpower, material resources and financial resources in the maintenance link is reduced.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing data in the database storage module. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a substation monitoring method.
Those skilled in the art will appreciate that the architecture shown in fig. 4 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device of a substation monitoring system is further provided, where each module and each sub-module of the computer device includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.
In one embodiment, a computer-readable storage medium of a substation monitoring system is provided, modules and sub-modules of the computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps in the above-described method embodiments.
In an embodiment, a computer program product of a substation monitoring system is provided, comprising a computer program which, when executed by a processor, performs the steps in the above-described method embodiments.
It should be noted that, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, databases, or other media used in the embodiments provided herein can include at least one of non-volatile and volatile memory. The nonvolatile Memory may include a Read-Only Memory (ROM), a magnetic tape, a floppy disk, a flash Memory, an optical Memory, a high-density embedded nonvolatile Memory, a resistive Random Access Memory (ReRAM), a Magnetic Random Access Memory (MRAM), a Ferroelectric Random Access Memory (FRAM), a Phase Change Memory (PCM), a graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the various embodiments provided herein may be, without limitation, general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, or the like.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (10)
1. A transformer substation monitoring method is characterized by comprising the following steps:
the equipment monitoring module dynamically detects the equipment states of each equipment and the metering device in the transformer substation, and performs fault analysis on the detected fault condition to obtain first monitoring data;
the main control board module analyzes the operation data of the equipment monitoring module and the first monitoring data to obtain second monitoring data;
the transformer substation monitoring terminal analyzes the first monitoring data and the second monitoring data to obtain a monitoring result of the transformer substation;
and the equipment monitoring module, the main control board module and the transformer substation monitoring terminal perform data interaction through the Internet of things.
2. The method of claim 1, wherein the equipment monitoring module includes a temperature sensor sub-module and a status monitoring sub-module; the equipment monitoring module carries out dynamic detection to each equipment in the transformer substation and metering device's equipment state, carries out failure analysis to the fault situation that detects gained, obtains first monitoring data, includes:
the temperature sensor submodule dynamically detects temperature change data of a working environment where the transformer substation is located, and when the transformer substation single chip microcomputer system obtains the temperature change data, the temperature change data are sent to the transformer substation single chip microcomputer system to be displayed;
the state monitoring submodule dynamically detects state detection information of the substation relay protection device, information sharing and interaction between the device monitoring module and the substation monitoring terminal are carried out, and first monitoring data are obtained.
3. The method of claim 1 or 2, wherein the equipment monitoring module comprises an equipment configuration management submodule and a system management submodule, and the equipment and the metering device are system managed equipment and metering devices; the method further comprises the following steps:
the equipment configuration management submodule is used for carrying out at least one of equipment configuration management of equipment addition and deletion on the initial equipment and the metering device to obtain the equipment and the metering device after equipment configuration management;
and the equipment and the metering device after the equipment configuration management are managed, and the user login and account information is managed through the system management submodule to obtain the equipment and the metering device after the system management.
4. The method of claim 1, wherein the device monitoring module comprises a system maintenance management submodule and a system debugging management submodule; the fault analysis of the fault condition obtained by detection includes:
when a user logs in the system, the system maintenance management submodule sorts and analyzes the detected fault conditions according to types;
the method further comprises the following steps: and the system debugging management submodule determines communication parameters, and communication debugging software carries out communication test and analysis on the transformer substation monitoring system based on the communication parameters.
5. The method of claim 1, wherein the master control board module comprises a data acquisition sub-module, a status confirmation sub-module, and a data transmission sub-module; the main control board module analyzes the operation data of the equipment monitoring module and the first monitoring data to obtain second monitoring data, and the method comprises the following steps:
the data acquisition submodule performs parameter detection on the operation data of the equipment monitoring module and the first monitoring data and transmits a parameter detection result to a corresponding state confirmation submodule of the transformer substation through communication protocol data;
the state confirmation submodule analyzes according to the parameter detection result to obtain second monitoring data, and the second monitoring data are used for representing the operation state of the transformer substation monitoring system; and the second monitoring data is sent to the substation monitoring terminal through the data transmission sub-module.
6. The method of claim 1, wherein the substation monitoring terminal comprises an alarm module, and the substation monitoring result comprises a fault cause; based on the transformer substation monitoring terminal, the monitoring data of the equipment monitoring module and the monitoring data of the main control board module are analyzed to obtain the monitoring result of the transformer substation, and the method comprises the following steps:
based on the alarm module, comparing the first monitoring data and the second monitoring data with corresponding threshold values respectively to obtain comparison results;
and the alarm module alarms when the monitoring data is determined to exceed the threshold value according to the comparison result so that the management object can analyze the monitoring data to obtain the fault reason.
7. The method of claim 1, wherein the first monitored data and the second monitored data are real-time data generated by a substation power distribution system.
8. The method of claim 1, further comprising:
when the main control board module detects the occurrence of the fault in real time through the second monitoring data, the main control board module transmits a signal of the occurrence of the fault, and records and processes abnormal parameters of the transformer substation during the fault;
the abnormal parameters of the transformer substation comprise the operation data and first monitoring data.
9. The method of claim 1, further comprising:
the method comprises the steps that a database storage module integrates first monitoring data and second monitoring data of a transformer substation detection system;
and sorting and storing the first monitoring data and the second monitoring data.
10. A substation monitoring system, the system comprising:
the equipment monitoring module is used for dynamically detecting the equipment states of the equipment and the metering device and analyzing the fault condition obtained by detection to obtain first monitoring data; the first monitoring data are sent to a database storage module through the Internet of things;
the main control board module is used for collecting the first monitoring data from the database storage module, and analyzing the data of the equipment monitoring module and the first monitoring data to obtain second monitoring data; the data of the equipment monitoring module and the second monitoring data are used for generating a transformer substation monitoring result through a transformer substation monitoring terminal;
the transformer substation monitoring terminal is used for analyzing the first monitoring data and the second monitoring data to obtain a monitoring result of the transformer substation;
and the equipment monitoring module, the main control board module and the transformer substation monitoring terminal perform data interaction through the Internet of things.
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| CN116455060A (en) * | 2023-03-06 | 2023-07-18 | 国网浙江省电力有限公司嘉兴供电公司 | Intelligent monitoring and early warning method and system for working condition of power grid equipment |
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| CN116085212A (en) * | 2022-12-29 | 2023-05-09 | 大唐可再生能源试验研究院有限公司 | Method and system for monitoring running state of new energy wind turbine generator in real time |
| CN116085212B (en) * | 2022-12-29 | 2023-10-24 | 大唐可再生能源试验研究院有限公司 | Method and system for monitoring running state of new energy wind turbine generator in real time |
| CN116455060A (en) * | 2023-03-06 | 2023-07-18 | 国网浙江省电力有限公司嘉兴供电公司 | Intelligent monitoring and early warning method and system for working condition of power grid equipment |
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| CN116418121A (en) * | 2023-06-09 | 2023-07-11 | 广东电网有限责任公司广州供电局 | Substation secondary security system, method, device and computer equipment |
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| CN117154953A (en) * | 2023-10-31 | 2023-12-01 | 国网山东省电力公司夏津县供电公司 | Substation grounding wire monitoring system |
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