Multivariable binding substation video linkage control method and device

Abstract

The invention discloses a multi-variable binding substation video linkage control method and device, and relates to the technical field of substation intelligent control, and the method comprises the steps: presetting a binding rule, obtaining k pieces of variable information of i dimensions in a substation, and building a substation monitoring model based on the k pieces of variable information and the binding rule between the k pieces of variable information; acquiring real-time variable information, inputting the real-time variable information into the transformer substation monitoring model, and judging whether an accurate monitoring instruction is generated or not; and if the accurate monitoring instruction is generated, acquiring a monitoring coordinate, and calling the mobile monitoring equipment to move to the monitoring coordinate. Multi-variable binding means that a plurality of different node network variables are associated together, and in a scene of a substation, variables such as different equipment states and parameters are associated with video monitoring equipment, so that video linkage control is realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent control of substations, and in particular relates to a multi-variable binding substation video linkage control method and device. Background Art

[0002] With the continuous development of power systems, the safe operation of substations has received more and more attention. In the current substation monitoring system, video monitoring equipment is usually equipped to monitor the equipment and environment in the substation in real time.

[0003] Traditional video surveillance is mostly based on manual operation to view the screen, or simply set a fixed time interval for polling and shooting. Some more advanced systems can trigger the start of shooting and video recording of the camera at the corresponding location based on a single variable (such as a fault alarm signal of a certain device). For example, when an overload alarm occurs in a transformer, the corresponding camera nearby will be turned on for monitoring.

[0004] However, in terms of video linkage control with various monitoring links such as power monitoring, environmental monitoring, fire monitoring, and lighting systems in the substation, the following problems and shortcomings still exist:

[0005] Single linkage variable: Relying on a single variable to trigger video linkage cannot fully and accurately respond to the complex and diverse operating conditions and potential risks in the substation. There are many devices in the substation, and the operating status is interrelated and affected by many factors. A single variable trigger is difficult to accurately capture the scene where the actual problem is, and it is easy to misjudge or miss key situations.

[0006] Lack of collaborative analysis capabilities: Each monitoring link is relatively independent and cannot comprehensively consider the internal connections between multiple related factors. For some complex situations that require joint judgment based on multiple equipment status, environmental parameters, etc., it is impossible to achieve timely and effective video linkage response, resulting in low monitoring efficiency and failure to provide strong support for the operation and maintenance management of substations;

[0007] Lack of flexibility: Once the set trigger conditions change or new related factors need to be added, it is difficult to easily adjust and optimize the entire video linkage system. It takes a lot of manpower and time to reconfigure, which is not conducive to adapting to the ever-changing monitoring needs of substations.

[0008] Limited video surveillance angle: Traditional video cameras can only monitor a preset point at a fixed position. The video effect will be affected by observation conditions such as angle and light, and cannot meet the requirements of three-dimensional, all-round, and no-blind-angle dynamic monitoring and video recording;

[0009] To this end, the present invention proposes a multi-variable binding substation video linkage control method and device. Summary of the invention

[0010] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes a multi-variable binding substation video linkage control method and device, which comprehensively considers multiple related node network variables for binding, realizes more accurate, efficient and flexible video linkage control, comprehensively improves the accuracy and management level of substation monitoring, timely captures various potential risks and operating conditions, and ensures the safe and stable operation of the substation.

[0011] To achieve the above object, according to an embodiment of the present invention, a multi-variable binding substation video linkage control method is proposed, comprising:

[0012] Preset binding rules, obtain k variable information of i dimensions in the substation, and establish a substation monitoring model based on the k variable information and the binding rules between the k variable information;

[0013] Obtain real-time variable information, input the real-time variable information into the substation monitoring model, and determine whether to generate accurate monitoring instructions;

[0014] If an accurate monitoring instruction is generated, the monitoring coordinates are obtained and the mobile monitoring device is called to move to the monitoring coordinates for monitoring.

[0015] Preferably, the method for presetting binding rules includes:

[0016] Create a rule database to store all variable binding rules. Each rule is represented as a triple: a trigger condition set, an action set, and a logical operator.

[0017] For each variable, use a structure to store its information, including variable name, type, current value, and update time;

[0018] Regularly obtain real-time variable data, and update the current value and update time of the corresponding variable in the variable list based on the real-time variable data;

[0019] For each rule, determine whether the rule is satisfied based on the current values ​​of the variables in the logical operator and trigger condition set;

[0020] If the rule is satisfied, execute the corresponding action in the action set.

[0021] Preferably, the method for establishing a substation monitoring model based on k variable information and binding rules between k variable information includes:

[0022] Binding rules are marked as R n, where n represents the rule number;

[0023] The binding rule is represented by R n ={C n , A n , O n}, where C n is the trigger condition set, A n is an action set, which includes generating precise monitoring instructions, O n Is a logical operator.

[0024] Preferably, the method for determining whether to generate a precise monitoring instruction includes:

[0025] Initialize the value of the variable, obtain the real-time variable information at a preset time interval Δt and input the real-time variable information into the substation monitoring model;

[0026] For each R n , according to its logical operator O n and C n Determine whether it is triggered. If triggered, execute A n .

[0027] Preferably, the operation mode of the logical operator includes:

[0028] Let P(R n ) represents R n Whether it is triggered;

[0029] If all trigger conditions are met, P(R n )=1, the rule is triggered.

[0030] Preferably, the method for obtaining monitoring coordinates includes:

[0031] The substation is divided into M areas of equal size, each area has N substation cameras, and A mn The nth substation camera in the mth area is marked, where m∈[1,M] and n∈[1,N]. There is also an edge computing device in each area. The substation monitoring model is deployed to the edge computing device to process the video data transmitted by the N substation cameras in the area and call the substation cameras.

[0032] After the substation monitoring model triggers the precise monitoring command, the background environment reference in the video data where the triggered power equipment is located is analyzed by computer vision, and it is concluded that the power equipment appears in the mth area of ​​the substation. The edge computing device obtains the camera A where the power equipment appears. mn , the edge computing device extracts camera A mnThe relative distance between the background environment reference object and the power equipment in the field of view, and computer vision analysis is performed to obtain the actual distance between the power equipment and the background environment reference object;

[0033] The coordinates of the background environment reference object are collected in advance, and the coordinates of the power equipment are generated according to the coordinates of the background environment reference object and the actual distance between the power equipment and the background environment reference object.

[0034] Preferably, P(R n ) operations include O n = and, O n = or, O n =Non;

[0035] O n =The judgment formula of and is:

[0036] O n = or the judgment formula is:

[0037] A multi-variable binding substation video linkage control device is implemented based on the above-mentioned multi-variable binding substation video linkage control method, comprising a multi-variable acquisition module, a variable binding module and a linkage control module; wherein each module is connected by wire and / or wireless means;

[0038] A multi-variable acquisition module is used to collect real-time variable information and input the real-time variable information into a variable binding module;

[0039] The variable binding module is used to receive real-time variable information and input the real-time variable information into the established substation monitoring model to determine whether to generate accurate monitoring instructions. If accurate monitoring instructions are generated, the monitoring coordinates are obtained;

[0040] The linkage control module is used to call the monitoring equipment for monitoring based on the monitoring coordinates.

[0041] An electronic device comprises: a processor and a memory, wherein:

[0042] The memory stores a computer program that can be called by the processor;

[0043] The processor executes the above-mentioned multi-variable binding substation video linkage control method in the PLC background by calling the computer program stored in the memory.

[0044] A computer-readable storage medium having a rewritable computer program stored thereon;

[0045] When the computer program is run on a computer device, the computer device executes the above-mentioned multi-variable binding substation video linkage control method.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] 1. Multi-variable binding means linking multiple different node network variables together. In the substation scenario, different variables such as device status and parameters are associated with video surveillance equipment to achieve video linkage control;

[0048] 2. Through multi-variable binding, multiple factors can be comprehensively considered to more accurately determine the scenarios that require video linkage monitoring, avoiding misjudgment and omissions caused by single variable triggering. Through automatic video linkage, relevant video images can be presented in the first time when multi-variable abnormalities occur. For example, early warning and accurate capture of complex faults can greatly improve the efficiency and accuracy of substation fault troubleshooting, take timely measures, shorten fault handling time, and ensure the stable operation of substations;

[0049] 3. Integrate multivariate analysis data and video monitoring. Multiple variables cooperate and verify each other. Potential fault hazards can be discovered in advance based on the trend of multivariate changes. The real-time status of equipment can be viewed intuitively through video, which helps to accurately identify the cause of the fault, better assist operation and maintenance personnel in real-time management of the substation, and improve the reliability of the entire substation system.

[0050] 4. Operation and maintenance personnel can easily adjust the variable binding rules flexibly through the visual interface according to the actual changes in the substation (such as the introduction of new equipment, adjustment of operation strategy, etc.). The system can also continuously optimize itself based on feedback, easily adapt to the monitoring needs of different stages, and reduce the time and labor cost of reconfiguring the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a flow chart of a multi-variable binding substation video linkage control method in embodiment 1 of the present invention;

[0052] Figure 2 A module connection relationship diagram of a multi-variable binding substation video linkage control device in embodiment 2 of the present invention;

[0053] Figure 3 This is a schematic diagram of the structure of an electronic device in Embodiment 3 of the present invention;

[0054] Figure 4 This is a schematic diagram of the computer-readable storage medium structure in implementation 4 of the present invention. DETAILED DESCRIPTION

[0055] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] Example 1

[0057] See also Figure 1 As shown, a multi-variable binding substation video linkage control method includes:

[0058] Preset binding rules, obtain k variable information of i dimensions in the substation, i and k are both integers greater than 1, and establish a substation monitoring model based on the binding rules between k variable information and k variable information; exemplarily, the k variable information of i dimensions include but are not limited to electrical parameter dimensions (such as current, voltage, power factor, etc.), equipment status dimensions (such as equipment temperature, vibration amplitude, insulation resistance, etc.), environmental dimensions (such as indoor temperature, humidity, atmospheric pressure, etc.) and security dimensions (such as access control status, intrusion detection signals, etc.); assuming that there are i dimensions, each dimension has a different number of specific variables, which are set to k variable information. For example, the electrical parameter dimension may include multiple variables such as three-phase current and three-phase voltage; the equipment status dimension may have variables such as transformer temperature and switch cabinet vibration amplitude;

[0059] Acquire real-time variable information, input the real-time variable information into the substation monitoring model, and determine whether to generate precise monitoring instructions; illustratively, the binding rules are formulated by technical personnel in this field based on the actual operating requirements and safety standards of the substation. These rules define under what circumstances specific monitoring actions should be triggered; for example, the rule can be that when the temperature of a particular device exceeds a certain threshold (such as the transformer temperature exceeds 80°C) and the current also exceeds a certain value (such as the current of the device exceeds 120% of the rated current), it is considered that there may be a risk of failure and precise monitoring is required. Alternatively, when the ambient humidity exceeds a certain level (such as the humidity reaches 70% RH) and there are signs of slight leakage in the equipment (judged by insulation resistance monitoring), precise monitoring also needs to be initiated;

[0060] Based on the collected k variable information and the binding rules between them, a substation monitoring model is established. The substation monitoring model of this embodiment is a software system that realizes real-time monitoring and analysis of variables through programming; the model can use logical judgment, data analysis algorithms and other methods to determine whether the binding rules are met. For example, a conditional judgment statement can be used to check whether each variable meets the preset rules. If the rules are met, the corresponding monitoring action is triggered;

[0061] If an accurate monitoring instruction is generated, the monitoring coordinates are obtained, and the mobile monitoring device is called to move to the monitoring coordinates for monitoring; that is, once an accurate monitoring instruction is generated, the specific location coordinates that need to be monitored need to be determined. The monitoring coordinates of this embodiment can be pre-set device location coordinates or locations calculated according to a specific algorithm; for example, if a specific device is to be monitored, the coordinates of the device in the substation can be directly obtained; according to the acquired monitoring coordinates, the mobile monitoring device (such as a movable camera, inspection robot, etc.) is called to move to the coordinates for monitoring; the mobile monitoring device can receive instructions through wireless communication and automatically navigate to the specified location for monitoring.

[0062] Furthermore, the method for presetting binding rules includes:

[0063] Create a rule database for storing all variable binding rules. Each rule is represented as a triple: a trigger condition set, an action set, and a logical operator. The rule database of this embodiment should have efficient data storage and retrieval capabilities, and can use a relational database management system (such as MySQL, PostgreSQL) or a non-relational database (such as MongoDB). The specific choice depends on the complexity and scale of the data, and is not specifically limited here.

[0064] For each variable, a structure is used to store its information, including variable name, type, current value, and update time. The table structure in the database should be designed to clearly store the various components of the rule. For example, a "rule table" can be created, containing fields such as "rule ID", "trigger condition set" (which can be stored in JSON format to flexibly represent complex condition combinations), "action set" (also stored in JSON format), and "logical operator". Each rule is represented in the form of a triple, where the trigger condition set is a combination of a specific state or value range of a set of variables. For example, a trigger condition can be "transformer temperature is greater than 80°C and current exceeds 120% of the rated current". The action set defines the actions that should be performed once the rule is triggered. These actions can include sending alarm notifications, starting specific monitoring equipment, recording event logs, etc. Logical operators are used to connect the various conditions in the trigger condition set. Common logical operators include "AND", "OR", "NOT", etc. For example, a rule can be expressed as "(transformer temperature is greater than 80°CAND current exceeds 120% of the rated current), send an alarm notification and start nearby cameras for monitoring"

[0065] Establish a reliable data acquisition system to obtain real-time data of various variables in the substation through sensors, monitoring equipment or other data sources. Data acquisition can be done by scheduled polling or based on event triggers (such as when a variable value changes significantly);

[0066] The data collection system should have data verification and error handling mechanisms to ensure that the collected data is accurate and reliable. Abnormal data can be marked or alarmed for timely investigation and processing.

[0067] After obtaining the real-time variable data, find the corresponding variable structure in the variable list according to the variable name or identifier, and update its current value and update time. You can use efficient data structures (such as hash tables) to quickly find variables and improve update efficiency.

[0068] At the same time, the history of data updates should be recorded to facilitate data analysis and fault diagnosis. The history records can be stored in a database or file system for subsequent query and analysis;

[0069] Regularly obtain real-time variable data, and update the current value and update time of the corresponding variable in the variable list based on the real-time variable data;

[0070] For each rule, determine whether the rule is satisfied based on the current values ​​of the variables in the logical operator and trigger condition set;

[0071] If the rule is satisfied, execute the corresponding action in the action set;

[0072] For each rule, the current value of the variable in the trigger condition set is judged based on the logical operator and the trigger condition set. If the logical operator is "and", all trigger conditions must be met; if it is "or", only one trigger condition needs to be met.

[0073] In the judgment process, the type and value range of the variable should be considered. For numeric variables, comparison operations (such as greater than, less than, equal to, etc.) can be performed; for Boolean variables, logical judgment can be performed directly.

[0074] If the trigger condition set of the rule is met, the action set is further checked to see if it is feasible. For example, if the action is to start a specific monitoring device, it should be ensured that the device is available and in normal working condition.

[0075] Once the rule is triggered, the action execution mechanism executes the corresponding action set. The action can be executed by calling the external system interface, sending commands to the device controller, or executing a specific script program; for the action of sending alarm notifications, a variety of methods can be used, such as email, SMS, instant messaging, etc., to ensure that relevant personnel can receive the alarm in time. At the same time, the alarm sending time, recipient and other information should be recorded for subsequent tracking and management; after the action is executed, the status of the rule and related variables should be updated.

[0076] Furthermore, the method for establishing a substation monitoring model based on k variable information and binding rules between k variable information includes:

[0077] Binding rules are marked as R n , where n represents the rule number;

[0078] The binding rule is represented by R n ={C n , A n , O n}, where C n is the trigger condition set, A n The action set includes generating precise monitoring instructions and a series of actions that need to be executed when the rule is triggered; for example, a binding rule can be represented as generating precise monitoring instructions for transformer temperature, current and rated current and sending alarm messages, which means that when the transformer temperature is greater than 80 degrees Celsius and the current exceeds 120% of the rated current, the actions of generating precise monitoring instructions and sending alarm messages are executed. Here, the logical operator "AND" is used to connect the two trigger conditions. n Is a logical operator.

[0079] The specific method for determining whether to generate accurate monitoring instructions includes:

[0080] Initialize the value of the variable, obtain the real-time variable information at a preset time interval Δt and input the real-time variable information into the substation monitoring model; that is, before starting monitoring, all relevant variables need to be initialized. This includes assigning an initial value to each variable and recording the initial timestamp. The initialized value can be set according to the actual situation, for example, a reasonable initial value can be obtained from historical data, or a default safety value can be used.

[0081] For example, for the transformer temperature variable, it can be initialized to the ambient temperature or a lower safety temperature value; for the current variable, it can be initialized to the rated current value of the device;

[0082] For each R n , according to its logical operator O n and C nDetermine whether it is triggered. If triggered, execute A n .

[0083] Preferably, the operation mode of the logical operator includes:

[0084] Let P(R n ) represents R n Whether it is triggered;

[0085] If all trigger conditions are met, P(R n )=1, the rule is triggered; For example, in order to facilitate management and identification of different binding rules, each rule is numbered and marked as R n , which represents the unique number of the rule. This allows you to quickly reference specific rules for judgment and execution in the monitoring model.

[0086] Binding rules are expressed in the form of triples, namely, R n =({C n}, {A n}, {O n}), for example, a binding rule can be expressed as Rn = ({transformer temperature>80°C, current>rated current}, {generate precise monitoring instructions, send alarm messages}, {AND}), which means that when the transformer temperature is greater than 80 degrees Celsius and the current exceeds the rated current, the actions of generating precise monitoring instructions and sending alarm messages are executed. Here, the logical operator "AND" is used to connect the two trigger conditions;

[0087] The specific method for determining whether to generate precise monitoring instructions is as follows: Initialize the value of the variable. Before starting monitoring, all related variables need to be initialized; this includes assigning an initial value to each variable and recording the initial timestamp; the initialized value can be set according to the actual situation, for example, a reasonable initial value can be obtained from historical data, or a default safety value can be used. For example, for the transformer temperature variable, it can be initialized to the ambient temperature or a lower safety temperature value; for the current variable, it can be initialized to the rated current value of the device;

[0088] Get real-time variable information at preset time intervals, establish a scheduled task, and get real-time variable information from sensors, monitoring equipment or other data sources at preset time intervals (such as every 5 minutes, every 10 seconds, etc.); the selection of this time interval should be determined according to the monitoring needs and system performance, ensuring that abnormal situations can be discovered in time, but not too frequent data acquisition will cause the system to be overloaded; the accuracy and completeness of the data should be ensured during the data acquisition process, and mechanisms such as data verification and error handling can be used to deal with possible abnormal situations. For example, if the data of a sensor fluctuates abnormally, the data can be smoothed or marked as abnormal data and further checked;

[0089] Input the real-time variable information into the substation monitoring model. After obtaining the real-time variable information, input the information into the substation monitoring model. The monitoring model analyzes and judges these variables according to the preset binding rules to determine whether the trigger conditions are met. For example, input the real-time transformer temperature, current and other variable values ​​into the monitoring model. The model will judge according to the trigger condition set in the binding rules. If the conditions are met, the corresponding action will be triggered.

[0090] For each binding rule, determine whether it is triggered based on its logical operator and. n , according to its logical operator O n and trigger condition set C n If the logical operator is "AND", all trigger conditions must be met; if it is "OR", only one trigger condition needs to be met, specifically, P(R n ) operations include O n = and, O n = or, O n =Non;

[0091] O n =The judgment formula of and is:

[0092] O n = or the judgment formula is: The "and" here means logical OR, that is, as long as one of the conditions is met, the rule is triggered; n =Not a single trigger condition.

[0093] For example, for Rn = ({transformer temperature>80℃, current>rated current}, {generate precise monitoring instructions, send alarm messages}, {AND}), this rule will be triggered only when the transformer temperature is greater than 80 degrees Celsius and the current exceeds the rated current. If triggered, the actions in the action set are executed. If a binding rule is triggered, the action set A of the rule is executed. n These actions can include generating precise monitoring instructions, sending alarm messages, activating specific monitoring equipment, etc. For example, when R n When triggered, the actions of generating precise monitoring instructions and sending alarm messages are executed. Generating precise monitoring instructions can notify relevant personnel to conduct further inspection and processing, and sending alarm messages can notify operation and maintenance personnel through email, SMS, instant messaging, etc.

[0094] Preferably, the method for obtaining monitoring coordinates includes:

[0095] The substation is divided into M areas of equal size, each area has N substation cameras, and A mn The nth substation camera in the mth area is marked, where m∈[1,M] and n∈[1,N]. There is also an edge computing device in each area. The substation monitoring model is deployed to the edge computing device to process the video data transmitted by the N substation cameras in the area and call the substation cameras.

[0096] After the substation monitoring model triggers the precise monitoring command, the background environment reference in the video data where the triggered power equipment is located is analyzed by computer vision, and it is concluded that the power equipment appears in the mth area of ​​the substation. The edge computing device obtains the camera A where the power equipment appears. mn , the edge computing device extracts camera A mn The relative distance between the background environment reference object and the power equipment in the field of view, and computer vision analysis is performed to obtain the actual distance between the power equipment and the background environment reference object;

[0097] The coordinates of the background environment reference object are collected in advance, and the coordinates of the power equipment are generated according to the coordinates of the background environment reference object and the actual distance between the power equipment and the background environment reference object.

[0098] Example 2

[0099] Based on the above embodiments, see Figure 2 As shown, a multi-variable binding substation video linkage control device is implemented based on the above-mentioned multi-variable binding substation video linkage control method, including a multi-variable acquisition module, a variable binding module and a linkage control module; wherein each module is connected by wire and / or wireless means;

[0100] The multi-variable acquisition module is used to collect real-time variable information and input the real-time variable information into the variable binding module; for example, in the substation, various sensors are reasonably installed according to the equipment layout and the key monitoring area planning. For example, temperature sensors and current transformers are installed on each transformer, voltage sensors are installed in the switch cabinet, temperature and humidity sensors and smoke detectors are installed in the corners of each room, and personnel detection sensors (such as infrared sensors, image recognition cameras, etc.) are set at the entrances and exits and important operation areas. Ensure that these sensors can collect the corresponding variable information through the multi-variable acquisition module in wired or wireless communication mode to the substation video linkage control device.

[0101] The variable binding module is used to receive real-time variable information and input the real-time variable information into the established substation monitoring model to determine whether to generate accurate monitoring instructions. If accurate monitoring instructions are generated, the monitoring coordinates are obtained; exemplary, the operation and maintenance personnel configure the rules through the visual variable binding rule setting unit. For example, when the temperature of transformer A exceeds 80°C (data is obtained through the temperature sensor on the transformer) and the humidity of the distribution room where it is located is greater than 70% (data is provided by the indoor temperature and humidity sensor), and at the same time, a person is detected to operate within 5 meters of the transformer (based on the personnel detection sensor information), the panoramic camera installed on the top of the distribution room and the mobile video inspection device are triggered to start, the panoramic camera is adjusted to cover the entire distribution room, and the mobile video inspection device is positioned to focus on the key parts of transformer A through the three-dimensional coordinate preset position, and video recording is started at the same time, and the video stream is transmitted to the large screen of the monitoring center for real-time display. Through the operation interface, the operation and maintenance personnel select the corresponding variables, combine them using the "and" logical operator, and then save the rules to make them effective.

[0102] The linkage control module is used to call the monitoring equipment for monitoring based on the monitoring coordinates; illustratively, the video linkage control core unit continuously receives real-time data from the multi-variable acquisition module, and once a variable combination that meets the above-mentioned set rules is detected, it immediately sends control instructions to the corresponding panoramic camera and mobile video inspection device. After receiving the instruction, the panoramic camera adjusts the horizontal and vertical angles through its internal pan-tilt drive motor to achieve the best shooting position covering the entire distribution room; the mobile video inspection device is positioned through the three-dimensional coordinate preset position and focuses on the key parts of transformer A. At the same time, both cameras turn on the video encoding and storage functions, and transmit the video stream to the monitoring center through the network according to the set frame rate (such as 25 frames / second) and resolution (such as 1080P). After receiving the video stream, the server of the monitoring center decodes it and displays it in real time on the large screen, which is convenient for operation and maintenance personnel to observe transformer A and its surrounding conditions.

[0103] It is worth mentioning that the video linkage control device for a substation with multi-variable binding in this embodiment also includes: feedback and optimization adjustment. After the video linkage control process is completed, the feedback and optimization module will collect relevant information of this linkage control, such as the specific variable value triggered, the actual situation presented in the video screen, and the subsequent operation status of transformer A. If it is found that the video monitoring angle is not ideal or there are some areas that are not effectively covered, the operation and maintenance personnel can send adjustment instructions to the video linkage control core unit through the feedback and optimization module, such as fine-tuning the camera angle, changing the video resolution, etc.; at the same time, the system will automatically analyze based on the collected data. If it is judged that the current variable binding rules are unreasonable (such as the temperature threshold is set too low, resulting in frequent triggering, etc.), the operation and maintenance personnel will be prompted to modify the rules. The operation and maintenance personnel can enter the variable binding rule setting unit again to make corresponding optimization adjustments.

[0104] Example 3

[0105] Figure 3 1 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present application. Figure 3 As shown, according to another aspect of the present application, an electronic device 100 is also provided. The electronic device 100 may include one or more processors and one or more memories. The memories store computer readable codes, and when the computer readable codes are run by one or more processors, the substation video linkage control method with multi-variable binding as described above may be executed.

[0106] The method or system according to the embodiment of the present application can also be Figure 3 The electronic device architecture shown in FIG. Figure 3 As shown, the electronic device 100 may include a bus 101, one or more CPUs 102, a read-only memory (ROM) 103, a random access memory (RAM) 104, a communication port 105 connected to a network, an input / output component 106, a hard disk 107, etc. The storage device in the electronic device 100, such as ROM 103 or hard disk 107, may store a multi-variable binding substation video linkage control method provided in the present application. A multi-variable binding substation video linkage control method may, for example, include: presetting binding rules, obtaining k variable information of i dimensions in the substation, and establishing a substation monitoring model based on the binding rules between the k variable information and the k variable information; obtaining real-time variable information, inputting the real-time variable information into the substation monitoring model, and determining whether to generate precise monitoring instructions; if precise monitoring instructions are generated, obtaining monitoring coordinates, and calling a mobile monitoring device to move to the monitoring coordinates for monitoring.

[0107] Furthermore, the electronic device 100 may further include a user interface 108. Figure 3The architecture shown is only exemplary and can be omitted according to actual needs when implementing different devices. Figure 3 One or more components of an electronic device are shown.

[0108] Example 4

[0109] Figure 4 Schematic diagram of a computer-readable storage medium structure provided by an embodiment of the present application. Figure 4 As shown, a computer-readable storage medium 200 according to an embodiment of the present application is shown. Computer-readable instructions are stored on the computer-readable storage medium 200. When the computer-readable instructions are executed by the processor, a multi-variable binding substation video linkage control method according to an embodiment of the present application described with reference to the above figures can be executed. The computer-readable storage medium 200 includes, but is not limited to, for example, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and cache memory (cache), etc. Non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc.

[0110] In addition, according to the implementation mode of the present application, the process described in the above reference flowchart can be implemented as a computer software program. For example, the present application provides a non-transitory machine-readable storage medium, which stores machine-readable instructions, and the machine-readable instructions can be executed by a processor to execute instructions corresponding to the method steps provided in the present application, for example: preset binding rules, obtain k variable information of i dimensions in the substation, and establish a substation monitoring model based on the binding rules between k variable information and k variable information; obtain real-time variable information, input the real-time variable information into the substation monitoring model, and determine whether to generate precise monitoring instructions; if precise monitoring instructions are generated, obtain monitoring coordinates, and call the mobile monitoring device to move to the monitoring coordinates for monitoring. When the computer program is executed by the central processing unit (CPU), the above functions defined in the method of the present application are executed.

[0111] The methods, apparatuses, and devices of the present application may be implemented in many ways. For example, the methods, apparatuses, and devices of the present application may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above order of steps for the method is for illustration only, and the steps of the method of the present application are not limited to the order specifically described above unless otherwise specified. In addition, in some embodiments, the present application may also be implemented as programs recorded in a recording medium, which include machine-readable instructions for implementing the method according to the present application. Therefore, the present application also covers recording media storing programs for executing the method according to the present application.

[0112] In addition, the parts of the above-mentioned technical solutions provided in the embodiments of the present application that are consistent with the implementation principles of the corresponding technical solutions in the prior art are not described in detail to avoid excessive redundancy.

[0113] The specific implementation modes as described above further describe the purpose, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation mode of the present invention and is not intended to limit the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0114] The above preset parameters or preset thresholds are all set by technicians in this field according to actual conditions or obtained through large-scale data simulation.

[0115] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A multi-variable binding substation video linkage control method, characterized in that: include: Preset binding rules, obtain k variable information of i dimensions in the substation, and establish a substation monitoring model based on the k variable information and the binding rules between the k variable information; Obtain real-time variable information, input the real-time variable information into the substation monitoring model, and determine whether to generate accurate monitoring instructions; If an accurate monitoring instruction is generated, the monitoring coordinates are obtained and the mobile monitoring device is called to move to the monitoring coordinates for monitoring.

2. A multi-variable binding substation video linkage control method according to claim 1, characterized in that: The preset binding rule methods include: Create a rule database to store all variable binding rules. Each rule is represented as a triple: a trigger condition set, an action set, and a logical operator. For each variable, use a structure to store its information, including variable name, type, current value, and update time; Regularly obtain real-time variable data, and update the current value and update time of the corresponding variable in the variable list based on the real-time variable data; For each rule, determine whether the rule is satisfied based on the current values ​​of the variables in the logical operator and trigger condition set; If the rule is satisfied, execute the corresponding action in the action set.

3. A multi-variable binding substation video linkage control method according to claim 2, characterized in that: The method for establishing a substation monitoring model based on k variable information and binding rules between the k variable information includes: Binding rules are marked as R n , where n represents the rule number; The binding rule is represented by R n ={C n , A n , O n }, where C n is the trigger condition set, A n is an action set, which includes generating precise monitoring instructions, O n Is a logical operator.

4. A multi-variable binding substation video linkage control method according to claim 3, characterized in that: The method for determining whether to generate a precise monitoring instruction includes: Initialize the value of the variable, obtain the real-time variable information at a preset time interval Δt and input the real-time variable information into the substation monitoring model; For each R n , according to its logical operator O n and C n Determine whether it is triggered. If triggered, execute A n .

5. A multi-variable binding substation video linkage control method according to claim 4, characterized in that: Logical operators include: Let P(R n ) represents R n Whether it is triggered; If all trigger conditions are met, P(R n )=1, the rule is triggered.

6. A multi-variable binding substation video linkage control method according to claim 5, characterized in that: Methods for obtaining monitoring coordinates include: The substation is divided into M areas of equal size, each area has N substation cameras, and A mn The nth substation camera in the mth area is marked, where m∈[1,M], n∈[1,N]. There is also an edge computing device in each area. The substation monitoring model is deployed to the edge computing device to process the video data transmitted by the N substation cameras in the area and call the substation cameras. After the substation monitoring model triggers the precise monitoring command, the background environment reference in the video data where the triggered power equipment is located is analyzed by computer vision, and it is concluded that the power equipment appears in the mth area of ​​the substation. The edge computing device obtains the camera A where the power equipment appears. mn , the edge computing device extracts camera A mn The relative distance between the background environment reference object and the power equipment in the field of view, and computer vision analysis is performed to obtain the actual distance between the power equipment and the background environment reference object; The coordinates of the background environment reference object are collected in advance, and the coordinates of the power equipment are generated according to the coordinates of the background environment reference object and the actual distance between the power equipment and the background environment reference object.

7. A multi-variable binding substation video linkage control method according to claim 6, characterized in that: P(R n ) operations include O n = and, O n = or, O n =Non; O n =The judgment formula of and is: O n = or the judgment formula is:

8. A multi-variable binding substation video linkage control device, which is implemented based on a multi-variable binding substation video linkage control method according to any one of claims 1 to 7, characterized in that: It includes a multi-variable acquisition module, a variable binding module and a linkage control module; wherein each module is connected by wired and / or wireless means; A multi-variable acquisition module is used to collect real-time variable information and input the real-time variable information into a variable binding module; The variable binding module is used to receive real-time variable information and input the real-time variable information into the established substation monitoring model to determine whether to generate accurate monitoring instructions. If accurate monitoring instructions are generated, the monitoring coordinates are obtained; The linkage control module is used to call the monitoring equipment for monitoring based on the monitoring coordinates.

9. An electronic device, characterized in that: include: processor and memory, wherein The memory stores a computer program that can be called by the processor; The processor executes the multi-variable binding substation video linkage control method described in any one of claims 1 to 7 in the PLC background by calling the computer program stored in the memory.

10. A computer-readable storage medium, characterized in that: A rewritable computer program is stored thereon; When the computer program is executed on a computer device, the computer device executes the multi-variable binding substation video linkage control method according to any one of claims 1 to 7.

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