Intelligent monitoring control method and device for power distribution room, equipment and storage medium

Abstract

The invention belongs to the technical field of intelligent control, and discloses an intelligent monitoring control method and device for a power distribution room, equipment and a storage medium, and the method comprises the steps: obtaining the real-time values of a plurality of environment indexes under the current control parameters in the power distribution room, the plurality of environment indexes including environment temperature, humidity, SF6 gas concentration, oxygen concentration and equipment energy consumption; if the security requirement is met, randomly initializing initial positions and initial speeds of a plurality of candidate solutions in a search space; the fitness of each candidate solution is calculated, the individual historical optimal position and the global optimal position of each candidate solution are determined, the position and the speed of each candidate solution are updated, the fitness is calculated again, the iteration process is repeated until the termination condition is met, and the global optimal position is obtained to serve as the optimal solution; and controlling the dynamic environment control equipment of the power distribution room to perform linkage according to the optimal solution so as to dynamically adapt to the real-time environment to optimize the control parameters, improve the intelligent degree and realize the intelligent dynamic control of the power distribution room equipment.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent control technology, and specifically relates to an intelligent monitoring and control method and device, equipment, and storage medium for a power distribution room. Background Art

[0002] With the development of intelligent power equipment and distribution rooms, the requirements for environmental monitoring and equipment control are constantly increasing. At present, traditional control systems often rely on fixed control parameters, lack real-time performance, are difficult to adapt to fluctuations in environmental conditions, are not intelligent enough, and lead to problems such as high energy consumption and great equipment safety hazards, making it difficult to meet the safe and efficient operation requirements of modern power systems. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent monitoring and control method and device, equipment, and storage medium for a power distribution room, which can dynamically adapt to the real-time environment to optimize control parameters and improve the degree of intelligence.

[0004] The first aspect of the present invention discloses an intelligent monitoring and control method for a power distribution room, comprising:

[0005] Obtain the real-time values ​​of multiple environmental indicators in the power distribution room under the current control parameters, including ambient temperature, humidity, SF6 gas concentration, oxygen concentration and equipment energy consumption;

[0006] Determine whether safety requirements are met based on the real-time values ​​of multiple environmental indicators;

[0007] If the safety requirements are met, a search space is determined according to the current control parameters, and initial positions and initial velocities of multiple candidate solutions of the current control parameters are randomly initialized in the search space;

[0008] During the iteration process, the fitness of each candidate solution is calculated;

[0009] According to the fitness of each candidate solution, determine the individual historical best position of each candidate solution and the global best position of all candidate solutions;

[0010] According to the global best position and the individual historical best position of each candidate solution, the position and speed of each candidate solution are updated, and the fitness of each candidate solution is recalculated. The above iterative process is repeated until the termination condition is met, and the global best position at the termination of the iteration is obtained as the optimal solution of the current control parameters;

[0011] According to the optimal solution, the dynamic control equipment in the power distribution room is controlled and linked.

[0012] In some embodiments, judging whether safety requirements are met based on real-time values ​​of multiple environmental indicators includes:

[0013] Perform protocol conversion on the real-time value of each environmental indicator to obtain a normalized value of each real-time value;

[0014] Determine whether each normalized value is within the safety interval;

[0015] If each normalized value is within the safety interval, it is determined that the safety requirement is met.

[0016] In some embodiments, calculating the fitness of each candidate solution includes:

[0017] Obtaining measurement values ​​of a plurality of environmental indicators of the power distribution room corresponding to each candidate solution;

[0018] The measured values ​​of multiple environmental indicators are input into the set objective function, and the objective function value of each candidate solution is calculated as its fitness.

[0019] In some embodiments, the objective function is expressed as:

[0020] f=f1+f2+f3;

[0021] f1=W t *(T actual -T desired )^2+W h *(H actual -H desired )^2;

[0022] f3=W o *(O safe -O actual )^2+W s *(S safe -S actual )^2;

[0023] Among them, T actual and H actual are the measured values ​​of temperature and humidity, T desired and H desired are the expected values ​​of temperature and humidity respectively; E i represents the energy consumption of the i-th device, n is the number of devices; O safe and S safe are the safety thresholds of oxygen concentration and SF6 gas concentration, O actual and S actual are the measured values ​​of oxygen concentration and SF6 gas concentration respectively; W t , W h , W o , W s is the preset weight coefficient.

[0024] In some embodiments, updating the position and velocity of each candidate solution includes:

[0025] The position and velocity of each candidate solution are updated using the following formula:

[0026] x i (t+1)=x i (t)+v i (t+1);

[0027] v i (t+1)=w*v i (t)+c1*r1*(p i -x i )+c2*r2*(gx i );

[0028] Among them, x i (t+1) is the position of the i-th candidate solution at time t+1, x i (t) is the position of the i-th candidate solution at time t; v i (t+1) is the velocity of the i-th candidate solution at time t+1, v i (t) is the velocity of the i-th candidate solution at time t; w is the inertia weight, which is used to control the influence of the candidate solution in the search space; c1 and c2 are acceleration constants; r1 and r2 are random numbers in the interval [0, 1]; p i is the best individual historical position of the i-th candidate solution; g is the global best position; x i is the current position of the i-th candidate solution.

[0029] The second aspect of the present invention discloses an intelligent monitoring and control device for a power distribution room, comprising:

[0030] An acquisition unit is used to acquire real-time values ​​of multiple environmental indicators in the power distribution room under current control parameters, wherein the multiple environmental indicators include ambient temperature, humidity, SF6 gas concentration, oxygen concentration, and equipment energy consumption;

[0031] A judgment unit, used to judge whether the safety requirements are met according to the real-time values ​​of multiple environmental indicators;

[0032] an initialization unit, configured to determine a search space according to the current control parameter and randomly initialize initial positions and initial velocities of multiple candidate solutions of the current control parameter in the search space when the judgment unit determines that the safety requirement is met;

[0033] The iterative optimization unit is used to calculate the fitness of each candidate solution during the iteration process; determine the individual historical best position of each candidate solution and the global best position of all candidate solutions according to the fitness of each candidate solution; update the position and speed of each candidate solution according to the global best position and the individual historical best position of each candidate solution, and recalculate the fitness of each candidate solution, repeat the above iterative process until the termination condition is met, and obtain the global best position when the iteration is terminated as the optimal solution of the current control parameters;

[0034] The control unit is used to control the dynamic control equipment in the distribution room to work in linkage according to the optimal solution.

[0035] In some embodiments, the determining unit includes:

[0036] The conversion subunit is used to perform a specification conversion on the real-time value of each environmental indicator to obtain a normalized value of each real-time value;

[0037] A judging subunit, used to judge whether each normalized value is within a safe interval;

[0038] The determination subunit is used to determine that the safety requirement is met when the determination subunit determines that each normalized value is within the safety interval.

[0039] In some embodiments, the iterative optimization unit is used to calculate the fitness of each candidate solution in the following specific manner: obtaining the measured values ​​of multiple environmental indicators of the distribution room corresponding to each candidate solution; inputting the measured values ​​of the multiple environmental indicators into a set objective function, and calculating the objective function value of each candidate solution as its fitness.

[0040] The third aspect of the present invention discloses an electronic device, comprising a memory storing executable program code and a processor coupled to the memory; the processor calls the executable program code stored in the memory to execute the intelligent monitoring and control method for the distribution room disclosed in the first aspect.

[0041] A fourth aspect of the present invention discloses a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, wherein the computer program enables a computer to execute the intelligent monitoring and control method for a power distribution room disclosed in the first aspect.

[0042] The beneficial effects of the present invention are that the real-time values ​​of multiple environmental indicators under the current control parameters in the distribution room are obtained, and the multiple environmental indicators include ambient temperature, humidity, SF6 gas concentration, oxygen concentration and equipment energy consumption; whether the safety requirements are met is judged according to the real-time values ​​of the multiple environmental indicators, if the safety requirements are met, the search space is determined according to the current control parameters, and the initial positions and initial speeds of multiple candidate solutions of the current control parameters are randomly initialized in the search space; in the iterative process, the fitness of each candidate solution is calculated, and according to the fitness of each candidate solution, the individual historical best position of each candidate solution and the global best position of all candidate solutions are determined, and then according to the global best position and the individual historical best position of each candidate solution, the position and speed of each candidate solution are updated, and the fitness of each candidate solution is recalculated, and the above iterative process is repeated until the termination condition is met, and the global best position when the iteration is terminated is obtained as the optimal solution of the current control parameters; finally, according to the optimal solution, the dynamic control equipment of the distribution room is controlled to be linked, so that the control parameters can be optimized dynamically and adaptively in the real-time environment, the degree of intelligence is improved, and the intelligent dynamic control of the equipment in the distribution room is realized to ensure the safety, energy efficiency and cost-effectiveness of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings herein show specific examples of the technical solutions described in the present invention, and together with the specific implementation methods, constitute a part of the specification, and are used to explain the technical solutions, principles and effects of the present invention.

[0044] Unless otherwise specified or defined, the same reference numerals in different drawings represent the same or similar technical features, and the same or similar technical features may also be represented by different reference numerals.

[0045] Figure 1 It is a schematic diagram of the architecture of an intelligent monitoring and control system for a power distribution room disclosed in an embodiment of the present invention;

[0046] Figure 2 It is a flow chart of an intelligent monitoring and control method for a power distribution room disclosed in an embodiment of the present invention;

[0047] Figure 3 It is a structural schematic diagram of an intelligent monitoring and control device for a power distribution room disclosed in an embodiment of the present invention;

[0048] Figure 4 It is a structural schematic diagram of an electronic device disclosed in an embodiment of the present invention.

[0049] Description of reference numerals:

[0050] 101. Dynamic environment monitoring equipment; 102. Dynamic environment control equipment; 103. Intelligent gateway module; 104. Technical module unit; 105. Video monitoring unit; 106. Comprehensive display unit; 107. Monitoring camera; 301. Acquisition unit; 302. Judgment unit; 303. Initialization unit; 304. Iterative optimization unit; 305. Control unit; 401. Memory; 402. Processor. DETAILED DESCRIPTION

[0051] Unless otherwise specified or defined, all technical and scientific terms used herein have the same meaning as those generally understood by those skilled in the art. In the case of combining the technical solution of the present invention with realistic scenarios, all technical and scientific terms used herein may also have meanings corresponding to the purpose of implementing the technical solution of the present invention. The "first, second..." used herein is only used to distinguish the names and does not represent a specific quantity or order. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0052] It should be noted that when a component is considered to be "fixed to" another component, it can be directly fixed to the other component or there can be a central component; when an component is considered to be "connected to" another component, it can be directly connected to the other component or there can be a central component at the same time; when an component is considered to be "installed on" another component, it can be directly installed on the other component or there can be a central component at the same time. When an component is considered to be "set on" another component, it can be directly set on the other component or there can be a central component at the same time.

[0053] Unless otherwise specified or defined, the "said" and "the" used in this document refer to the technical features or technical contents mentioned or described before the corresponding position, and the technical features or technical contents may be the same as or similar to the technical features or technical contents mentioned therein. In addition, the terms "including" and "having" and any variations thereof used in this document are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or devices.

[0054] The embodiment of the present invention discloses an intelligent monitoring and control method for a power distribution room, which can be implemented by computer programming. The execution subject of the method can be an electronic device such as a computer, a laptop, a tablet computer, or an intelligent monitoring and control device for a power distribution room embedded in an electronic device, and the present invention does not limit this.

[0055] In order to facilitate the understanding of the present invention, specific embodiments of the present invention will be described in more detail below with reference to the accompanying drawings.

[0056] like Figure 1 As shown, an embodiment of the present invention discloses an intelligent monitoring and control system for a power distribution room, which includes a dynamic environment monitoring device 101, a dynamic environment control device 102, an intelligent gateway module 103, a technical module unit 104, a video monitoring unit 105, a comprehensive display unit 106 and a monitoring camera 107, wherein the intelligent gateway module 103 is connected to the dynamic environment monitoring device 101 and the dynamic environment control device 102 respectively through a wired connection (modbus communication protocol) and / or a wireless connection (lora communication protocol), the intelligent gateway module 103 and the technical module unit 104 are connected to each other through a local area network, and the video monitoring unit 105, the comprehensive display unit 106 and the technical module unit 104 are connected to each other through a local area network.

[0057] The dynamic environment monitoring equipment 101 includes temperature and humidity sensors, noise sensors, water immersion sensors, SF6-O2 concentration sensors and smoke sensors, etc., to collect environmental indicators such as ambient temperature, humidity, SF6 gas concentration, oxygen concentration, smoke fire, water immersion, noise decibel number, equipment telesignaling, telemetry status, etc. in the distribution room and send them to the intelligent gateway module 103.

[0058] The dynamic environment control equipment 102 includes a lighting linkage device, a fan linkage device, an air conditioning linkage device, an intelligent water pump, an intelligent mouse repellent device and an intelligent access control device, etc. The dynamic environment control equipment 102 sends remote signals to the intelligent gateway module 103, and receives remote control from the intelligent gateway module 103 to achieve linkage control of lighting, temperature control, dehumidification, access control, water pumps, etc., thereby realizing remote intelligent operation and maintenance management of power distribution.

[0059] The video monitoring unit 105 is connected to multiple monitoring cameras 107 for communication. The video monitoring unit 105 is used to obtain the video signals captured by the multiple monitoring cameras 107, and send the video signals to the comprehensive display unit 106, and receive the control signals sent by the technical module unit 104, so as to realize the active recording and pre-warning of the distribution station environment and equipment status. Among them, the video signal includes the indoor situation of the distribution station, the activities of personnel and the patrol path. The monitoring cameras 107 include multiple monitoring gun cameras and multiple monitoring ball cameras.

[0060] The technical module unit 104 (equivalent to the above-mentioned intelligent control device) is used to execute an intelligent monitoring and control method for a distribution room disclosed in an embodiment of the present invention. It mainly converts the environmental indicators sent by the intelligent gateway module 103, and outputs the real-time values ​​of environmental indicators such as ambient temperature, humidity, SF6 gas concentration, oxygen concentration, smoke fire, flooding, noise decibel number, equipment telesignaling, and telemetry status in the distribution room. According to the particle swarm optimization algorithm, according to the set objective function for control parameter optimization, including the steady-state target of environmental indicators, minimization of energy consumption, equipment safety assurance, etc., the optimal control parameters are calculated, and the dynamic environment control equipment 102, the video monitoring unit 105, etc. are controlled to be linked, and optimization is performed according to the latest monitoring data.

[0061] The comprehensive display unit 106 is used to receive the code stream data of the monitoring video sent by the video monitoring unit 105, display the monitoring video according to the code stream data, send the control configuration parameters to the technical module unit 104, and receive the data after the technical module unit 104 performs protocol conversion processing on the collected environmental indicators, and display them visually. Among them, the comprehensive display unit 106 supports two display modes: remote and local, to realize remote intelligent operation and maintenance management of power distribution.

[0062] Optionally, the intelligent monitoring and control system of the power distribution room can also be configured with a visual operation interface, through which the user can set the objective function for optimizing the control parameters and add, delete, check and modify the dynamic environment monitoring equipment 101 and the surveillance camera 107.

[0063] like Figure 2 As shown, the above-mentioned intelligent monitoring and control method of the power distribution room includes the following steps 110 to 170:

[0064] 110. Obtain real-time values ​​of multiple environmental indicators under current control parameters in the power distribution room, wherein the multiple environmental indicators include ambient temperature, humidity, SF6 gas concentration, oxygen concentration and equipment energy consumption.

[0065] In some embodiments, the multiple environmental indicators may also include smoke and fire, flooding, noise decibels, equipment telemetry and telemetry status, etc.

[0066] 120. Determine whether safety requirements are met based on the real-time values ​​of multiple environmental indicators.

[0067] The specific step 120 may include the following steps 1201 to 1203 which are not shown in the figure:

[0068] 1201. Perform protocol conversion on the real-time value of each environmental indicator to obtain a normalized value of each real-time value.

[0069] 1202. Determine whether each normalized value is within a safe interval.

[0070] 1203. If each normalized value is within the safety interval, it is determined that the safety requirement is met.

[0071] In order to facilitate the comparison with the safety interval, the real-time values ​​of multiple environmental indicators are uniformly normalized to convert them into normalized values. Then, it is determined whether the normalized value of each currently monitored environmental indicator is within the safety interval, which is a preset restriction condition. If it is not within the safety interval, it means that the safety requirements are not met, and a control command is generated to control the dynamic environment control equipment to fully meet this requirement; when it is within the safety interval, it means that the safety requirements are met, and the tuning operation begins.

[0072] In an embodiment of the present invention, a particle swarm optimization algorithm can be used to perform tuning operations, that is, execute steps 130 to 160. By adopting the particle swarm optimization algorithm, it is possible to balance multiple optimization objectives, such as safety, energy consumption, environmental suitability, etc., to adapt to complex operating conditions. It can not only ensure the optimization of a single objective, but also take into account the optimization needs of multiple objectives. It can dynamically adjust the control strategy according to real-time environmental changes and equipment status to achieve adaptive operation, with both flexibility and response speed. Moreover, it has good global search capabilities, can explore potential optimal operating solutions, avoid the problem of local optimal solutions, and improve the effectiveness of the control strategy.

[0073] 130. If the safety requirements are met, a search space is determined according to the current control parameters, and initial positions and initial velocities of multiple candidate solutions of the current control parameters are randomly initialized in the search space.

[0074] In this step, the particle swarm is initialized. Specifically, each particle is defined as a candidate solution for a set of control parameters. The dimension of the particle is the same as the number of control parameters that need to be optimized. A set of control parameters includes the air conditioning set temperature, fan speed, light brightness, water pump switch status, etc. in the power distribution room.

[0075] For the initialization of each candidate solution (ie, each particle), the initial position (ie, the initial value of each candidate solution) and initial velocity (ie, the update step size) of each particle can be generated according to the set default values.

[0076] During the tuning operation, the position x of each candidate solution i Represented as x i ={x i1 , x i2 , …, x ij}, where x ijrepresents the current value of the jth control parameter in the i-th candidate solution (i.e., the i-th particle), where j ranges from 1 to d, and d is the number of control parameters in each candidate solution, i.e., the dimension of the particle optimization. The speed v of each candidate solution i Represented as v i = {v i1 , v i2 , …, v ij}, where v ij represents the speed of the jth control parameter in the ith candidate solution.

[0077] 140. During the iteration process, the fitness of each candidate solution is calculated.

[0078] Exemplarily, a method for calculating the fitness of each candidate solution may include: obtaining measurement values ​​of multiple environmental indicators of the distribution room corresponding to each candidate solution; inputting the measurement values ​​of the multiple environmental indicators into a set objective function, and calculating the objective function value of each candidate solution as its fitness.

[0079] The measured values ​​of multiple environmental indicators refer to the measured values ​​of multiple environmental indicators (including ambient temperature, humidity, SF6 gas concentration, oxygen concentration and equipment energy consumption) under each candidate solution. By inputting the measured values ​​of multiple environmental indicators under each candidate solution into the objective function, the corresponding objective function value is calculated, that is, the fitness of each candidate solution. The performance of the candidate solution can be evaluated more accurately through fitness calculation.

[0080] The setting of the objective function may include the following steps S11 to S12 (not shown):

[0081] S11. Determine the control objectives of the distribution room that needs to be optimized.

[0082] The control objectives of the power distribution room include controlling ambient temperature and humidity, ensuring safe oxygen and SF6 concentrations, minimizing energy consumption, ensuring high availability of equipment, and ensuring security.

[0083] S12. Define the objective function according to the control objective.

[0084] The objective function is the core of the tuning operation, which is used to quantify the performance of the control parameters. Specifically, in the embodiment of the present invention, the objective function includes three objective sub-functions, namely, the temperature and humidity target F1, the energy consumption target F2 and the safety target F3, as shown in the following equations (1) to (3):

[0085] f1 = W t * (T actual -T desired )^2 + W h * (H actual-H desired )^2 (1)

[0086] Among them, T actual and H actual are the measured values ​​of temperature and humidity, T desired and H desired are the expected values ​​of temperature and humidity respectively.

[0087]

[0088] Among them, E i represents the energy consumption of the ith device, and n is the number of devices.

[0089] f3=W o *(O safe -O actual )^2+W s *(S safe -S actual )^2(3)

[0090] Among them, O safe and S safe are the safety thresholds of oxygen concentration and SF6 gas concentration, O actual and S actual They are the measured values ​​of oxygen concentration and SF6 gas concentration respectively.

[0091] Combining the above three objective sub-functions, a comprehensive objective function can be formed:

[0092] f=f1+f2+f3(4)

[0093] W t , W h , W o , W s It is a preset weight coefficient used to balance the importance of temperature, humidity, oxygen and SF6. The value of the weight coefficient can be preset by the developer and its value is affected by the following factors:

[0094] Factor 1: According to the social electricity load, when the social electricity consumption is relatively low, increase the power of air conditioners, fans and other equipment, cool down, dehumidify and ventilate in advance, and leave a safety margin. When the social electricity consumption is at a peak, stop or reduce the power to reduce the load;

[0095] Factor 2: Use minimal power to ensure that environmental variables such as temperature and humidity remain smooth without frequently turning equipment on and off, thereby achieving energy conservation and emission reduction effects.

[0096] Considering the above factors, different weight coefficients can be configured for different time nodes, and the weight coefficients can be dynamically modified according to the changes in historical measurement data. In this way, by adjusting the weight coefficients of different time nodes, the result of smooth control can be achieved.

[0097] 150. According to the fitness of each candidate solution, determine the individual historical best position of each candidate solution and the global best position of all candidate solutions.

[0098] 160. According to the global best position and the individual historical best position of each candidate solution, the position and speed of each candidate solution are updated, and the fitness of each candidate solution is recalculated. The above iterative process is repeated until the termination condition is met, and the global best position at the termination of the iteration is obtained as the optimal solution of the current control parameters.

[0099] Among them, satisfying the termination condition means that the maximum number of iterations is reached or the change of the calculated fitness in multiple iterations is less than the specified value, that is, there is no significant change.

[0100] The position update formula is shown in equation (5):

[0101] x i (t+1)=x i (t)+v i (t+1)(5)

[0102] Among them, x i (t+1) is the position of the i-th candidate solution at time t+1, x i (t) is the position of the i-th candidate solution at time t.

[0103] The speed update formula is shown in equation (6):

[0104] v i (t+1)=w*v i (t)+c1*r1*(p i -x i )+c2*r2*(gx i )(6)

[0105] Among them, v i (t+1) is the speed of the i-th candidate solution at time t+1, which indicates the moving speed of the candidate solution at the next moment; v i (t) is the velocity of the i-th candidate solution at time t; w is the inertia weight, which is used to control the influence of the candidate solution in the search space; c1 and c2 are acceleration constants; r1 and r2 are random numbers in the interval [0, 1]; p iis the individual best historical position of the i-th candidate solution, that is, the best solution that the candidate solution has visited during its search process; g is the global best position, that is, the best solution found in the entire particle swarm (all candidate solutions), x i is the current position of the i-th candidate solution.

[0106] The calculation of inertia weight w is shown in the following formula (7):

[0107] w=w max -(w max -w min ) / (max_iter / iter)(7)

[0108] Among them, w max Indicates the maximum inertia weight at the initial iteration, which is generally set to 0.9; w min Indicates the minimum inertia weight at the end of the iteration, which is generally set to 0.4. max_iter indicates the maximum number of iterations, which is generally set to 100, and iter indicates the current number of iterations. When the iteration starts, the inertia weight w is set to w max Search in a large range and converge with the number of iterations, converging to w at the end min .

[0109] 170. Based on the optimal solution, the dynamic control equipment in the power distribution room is controlled in linkage.

[0110] In summary, the embodiments of the present invention are implemented by obtaining real-time values ​​of multiple environmental indicators under current control parameters in the distribution room, wherein the multiple environmental indicators include ambient temperature, humidity, SF6 gas concentration, oxygen concentration, and equipment energy consumption; if the safety requirements are met, the initial positions and initial speeds of multiple candidate solutions are randomly initialized in the search space; the fitness of each candidate solution is calculated, the individual historical best position and the global best position of each candidate solution are determined, the position and speed of each candidate solution are updated, the fitness is recalculated, and the above iterative process is repeated until the termination condition is met, and the global best position is obtained as the optimal solution; the dynamic control equipment of the distribution room is controlled to be linked according to the optimal solution, so that the control parameters can be optimized dynamically and adaptively in the real-time environment, the degree of intelligence is improved, and the intelligent dynamic control of the equipment in the distribution room is realized to ensure the safety, energy efficiency, and cost-effectiveness of the equipment.

[0111] In summary, the implementation of the embodiments of the present invention has the following benefits:

[0112] (1) Improved environmental safety: Real-time monitoring of temperature, humidity, SF6 concentration, and oxygen concentration ensures that environmental conditions are always within a safe range, reducing the risk of equipment damage. When environmental indicators approach safety thresholds, measures can be taken in advance to reduce potential safety hazards.

[0113] (2) Energy efficiency optimization: Optimize the operation strategies of air conditioners and fans, and ensure that the equipment operates efficiently during low demand periods through precise control to reduce energy waste. By cooling down in advance and adjusting the equipment load, the gap between peak power consumption and low power consumption can be balanced, achieving peak shaving and valley filling, reducing the burden on the power system.

[0114] (3) Reduced operating costs: By intelligently adjusting the operating hours of equipment, peak electricity prices can be avoided and overall electricity bills can be reduced. By maintaining suitable environmental conditions, equipment failure rates can be reduced, thereby reducing maintenance and replacement costs and extending equipment life.

[0115] (4) Intelligent management: Automated operation can be achieved through automated control strategies, which can reduce manual intervention, improve work efficiency, and reduce labor costs. Based on real-time data analysis and algorithm optimization, more scientific and accurate decision support can be achieved.

[0116] like Figure 3 As shown, the embodiment of the present invention also discloses an intelligent monitoring and control device for a power distribution room, including an acquisition unit 301, a judgment unit 302, an initialization unit 303, an iterative optimization unit 304, and a control unit 305, wherein:

[0117] An acquisition unit 301 is used to acquire real-time values ​​of multiple environmental indicators in the power distribution room under current control parameters, wherein the multiple environmental indicators include ambient temperature, humidity, SF6 gas concentration, oxygen concentration, and equipment energy consumption;

[0118] A judging unit 302, configured to judge whether safety requirements are met according to real-time values ​​of multiple environmental indicators;

[0119] The initialization unit 303 is used to determine the search space according to the current control parameter and randomly initialize the initial positions and initial velocities of multiple candidate solutions of the current control parameter in the search space when the judgment unit 302 determines that the safety requirement is met;

[0120] The iterative optimization unit 304 is used to calculate the fitness of each candidate solution during the iteration process; determine the individual historical best position of each candidate solution and the global best position of all candidate solutions according to the fitness of each candidate solution; update the position and speed of each candidate solution according to the global best position and the individual historical best position of each candidate solution, and recalculate the fitness of each candidate solution, repeat the above iterative process until the termination condition is met, and obtain the global best position when the iteration is terminated as the optimal solution of the current control parameters;

[0121] The control unit 305 is used to control the dynamic environment control equipment in the power distribution room to perform linkage according to the optimal solution.

[0122] As an optional implementation, the above-mentioned determination unit 302 includes the following sub-units not shown in the figure:

[0123] The conversion subunit is used to perform a specification conversion on the real-time value of each environmental indicator to obtain a normalized value of each real-time value;

[0124] A judging subunit, used to judge whether each normalized value is within a safe interval;

[0125] The determination subunit is used to determine that the safety requirement is met when the determination subunit determines that each normalized value is within the safety interval.

[0126] As an optional implementation, the above-mentioned iterative optimization unit 304 is used to calculate the fitness of each candidate solution in the following specific manner: obtaining the measured values ​​of multiple environmental indicators of the distribution room corresponding to each candidate solution; inputting the measured values ​​of multiple environmental indicators into a set objective function, and calculating the objective function value of each candidate solution as its fitness.

[0127] like Figure 4 As shown, an embodiment of the present invention discloses an electronic device, including a memory 401 storing executable program codes and a processor 402 coupled to the memory 401;

[0128] The processor 402 calls the executable program code stored in the memory 401 to execute the intelligent monitoring and control method for the power distribution room described in the above embodiments.

[0129] An embodiment of the present invention further discloses a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute the intelligent monitoring and control method for a power distribution room described in the above embodiments.

[0130] The purpose of the above embodiments is to exemplarily reproduce and deduce the technical solution of the present invention, and to fully describe the technical solution, purpose and effect of the present invention. Its purpose is to make the public understand the disclosed content of the present invention more thoroughly and comprehensively, and it does not limit the scope of protection of the present invention.

[0131] The above embodiments are not exhaustive enumerations of the present invention, and there may be multiple other implementations not listed. Any replacement and improvement made without violating the concept of the present invention shall fall within the protection scope of the present invention.

Claims

1. An intelligent monitoring and control method for a power distribution room, It is characterized in that include: Get the real-time values ​​of multiple environmental indicators in the power distribution room under the current control parameters, including ambient temperature, humidity, SF 6 Gas concentration, oxygen concentration and equipment energy consumption; Determine whether safety requirements are met based on the real-time values ​​of multiple environmental indicators; If the safety requirements are met, a search space is determined according to the current control parameters, and initial positions and initial velocities of multiple candidate solutions of the current control parameters are randomly initialized in the search space; During the iteration process, the fitness of each candidate solution is calculated; According to the fitness of each candidate solution, determine the individual historical best position of each candidate solution and the global best position of all candidate solutions; According to the global best position and the individual historical best position of each candidate solution, the position and speed of each candidate solution are updated, and the fitness of each candidate solution is recalculated. The above iterative process is repeated until the termination condition is met, and the global best position at the termination of the iteration is obtained as the optimal solution of the current control parameters; According to the optimal solution, the dynamic control equipment in the power distribution room is controlled and linked.

2. The intelligent monitoring and control method for a power distribution room according to claim 1, It is characterized in that Determine whether safety requirements are met based on the real-time values ​​of multiple environmental indicators, including: Perform protocol conversion on the real-time value of each environmental indicator to obtain a normalized value of each real-time value; Determine whether each normalized value is within the safety interval; If each normalized value is within the safety interval, it is determined that the safety requirement is met.

3. The intelligent monitoring and control method for a power distribution room according to claim 1, It is characterized in that Calculate the fitness of each candidate solution, including: Obtaining measurement values ​​of a plurality of environmental indicators of the power distribution room corresponding to each candidate solution; The measured values ​​of multiple environmental indicators are input into the set objective function, and the objective function value of each candidate solution is calculated as its fitness.

4. The intelligent monitoring and control method for a power distribution room as claimed in claim 3, It is characterized in that The expression of the objective function is: f=f 1 +f 2 +f 3 ; f 1 =W t *(T actual -T desired )^2+W h *(H actual -H desired )^2; f 3 =W o *(O safe -O actual )^2+W s *(S safe -S actual )^2; Among them, T actual and H actual are the measured values ​​of temperature and humidity, T desired and H desired are the expected values ​​of temperature and humidity respectively; E i represents the energy consumption of the i-th device, n is the number of devices; O safe and S safe are oxygen concentration and SF 6 Safety threshold of gas concentration, O actual and S actual are oxygen concentration and SF 6 The measured value of gas concentration; W t , W h , W o , W s is the preset weight coefficient.

5. The intelligent monitoring and control method for a power distribution room according to claim 1, It is characterized in that Update the position and velocity of each candidate solution, including: The position and velocity of each candidate solution are updated using the following formula: x i (t+1)=x i (t)+v i (t+1); v i (t+1)=w*v i (t)+c 1 *r 1 *(p i -x i )+c 2 *r 2 *(g-x i ); Among them, x i (t+1) is the position of the i-th candidate solution at time t+1, x i (t) is the position of the i-th candidate solution at time t; v i (t+1) is the velocity of the i-th candidate solution at time t+1, v i (t) is the velocity of the i-th candidate solution at time t; w is the inertia weight, which is used to control the influence of the candidate solution in the search space, c 1 and c 2 is the acceleration constant; r 1 and r 2 is a random number in the interval [0, 1]; p i is the best individual historical position of the i-th candidate solution; g is the global best position; x i is the current position of the i-th candidate solution.

6. An intelligent monitoring and control device for a power distribution room, It is characterized in that include: The acquisition unit is used to obtain the real-time values ​​of multiple environmental indicators in the power distribution room under the current control parameters. The multiple environmental indicators include ambient temperature, humidity, SF 6 Gas concentration, oxygen concentration and equipment energy consumption; A judgment unit, used to judge whether the safety requirements are met according to the real-time values ​​of multiple environmental indicators; an initialization unit, configured to determine a search space according to the current control parameter and randomly initialize initial positions and initial velocities of multiple candidate solutions of the current control parameter in the search space when the judgment unit determines that the safety requirement is met; Iterative optimization unit, used to calculate the fitness of each candidate solution during the iteration process; According to the fitness of each candidate solution, determine the individual historical best position of each candidate solution and the global best position of all candidate solutions; According to the global best position and the individual historical best position of each candidate solution, the position and speed of each candidate solution are updated, and the fitness of each candidate solution is recalculated. The above iterative process is repeated until the termination condition is met, and the global best position at the termination of the iteration is obtained as the optimal solution of the current control parameters; The control unit is used to control the dynamic control equipment in the distribution room to work in linkage according to the optimal solution.

7. The intelligent monitoring and control device for a power distribution room as claimed in claim 6, It is characterized in that The judging unit comprises: The conversion subunit is used to perform a specification conversion on the real-time value of each environmental indicator to obtain a normalized value of each real-time value; A judging subunit, used to judge whether each normalized value is within a safe interval; The determination subunit is used to determine that the safety requirement is met when the determination subunit determines that each normalized value is within the safety interval.

8. The intelligent monitoring and control device for a power distribution room according to claim 6, It is characterized in that The iterative optimization unit is used to calculate the fitness of each candidate solution in the following manner: obtaining the measured values ​​of multiple environmental indicators of the distribution room corresponding to each candidate solution; inputting the measured values ​​of the multiple environmental indicators into a set objective function, and calculating the objective function value of each candidate solution as its fitness.

9. An electronic device, It is characterized in that It comprises a memory storing executable program code and a processor coupled to the memory; the processor calls the executable program code stored in the memory to execute the intelligent monitoring and control method for a distribution room as described in any one of claims 1 to 5.

10. A computer-readable storage medium, It is characterized in that The computer-readable storage medium stores a computer program, wherein the computer program enables a computer to execute the intelligent monitoring and control method for a power distribution room according to any one of claims 1 to 5.

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