Opening and closing time optimization processing method, analysis system, device and storage medium

Abstract

The invention discloses a switching-on and switching-off time optimization processing method, an analysis system, a device and a storage medium, and the method comprises the steps: controlling each circuit breaker to carry out multiple switching-on and switching-off actions, and obtaining a control instruction in each switching-on and switching-off action and electrical data at different moments; analyzing a potential fault result according to the electrical data, and fitting the control instruction, the electrical data and the fault result to obtain feature data; carrying out iterative operation on the random race group based on a black wing plinux algorithm model by using the feature data; adjusting the fitness value of the black-wing plinary algorithm model so that the black-wing plinary algorithm model reaches the number of iterations and converges; controlling the target circuit breaker to perform multiple switching-on and switching-off actions, and collecting electrical data of the target circuit breaker in each switching-on and switching-off action; and the electrical data collected by the target circuit breaker are substituted into the adjusted black-wing plinary algorithm model, the adjusted black-wing plinary algorithm model optimizes the control instruction of the target circuit breaker, the design reasonably optimizes the control instruction, and the operation stability is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of computer optimization strategies, and in particular to a method for optimizing the opening and closing time, and an analysis system, device, and storage medium. Background Art

[0002] The status monitoring of high-voltage circuit breakers is the premise and basis for realizing their fault diagnosis. Usually, sensors detect the electrical data of the circuit breaker's operating status, and then the control module analyzes the electrical data to adjust the control instructions for parameters such as the circuit breaker's opening and closing time and applied voltage to control the circuit breaker's reasonable operation.

[0003] There are two main existing methods for monitoring the status of circuit breakers. One of them is to use the vibration signal of the circuit breaker for analysis. This method uses a vibration sensor to collect the vibration signal when the circuit breaker is in action, and extracts information reflecting the status of the mechanical mechanism of the circuit breaker. The advantage of using vibration signals to diagnose circuit breaker faults is that it can reflect the overall health of the circuit breaker, but it is difficult to extract fault information, and the vibration signal is greatly affected by the sensor installation position and the circuit breaker structure. If the correspondence between the vibration signal characteristics and the fault type is to be established, a large amount of fault data is required, the number of training samples is large, and the fault data of circuit breakers with different structures are different, which makes the model construction more complicated.

[0004] Another way is to use the current signal of the coil during the opening and closing action of the circuit breaker for analysis. Although the current signal of the circuit breaker coil cannot reflect the overall status information of the circuit breaker, it is relatively easy to obtain the current signal, and the structure of the circuit breaker coil is not much different, and the current characteristics are basically the same. In addition, the circuit breaker coil is the starting mechanism for the opening and closing actions, and plays a key role in the opening and closing actions of the circuit breaker. Fault diagnosis of the opening and closing coils can effectively avoid the occurrence of false operation and refusal to operate faults of the circuit breaker. However, there is currently no reasonable calculation model to optimize the operation control of the circuit breaker based on the diagnostic data. Summary of the invention

[0005] 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 an opening and closing time optimization processing method and analysis system, device, and storage medium to monitor the electrical data of the circuit breaker coil, optimize the control instructions for the opening and closing actions of the circuit breaker, and improve the operation stability.

[0006] According to an embodiment of the first aspect of the present invention, a method for optimizing the opening and closing time includes: controlling each circuit breaker to perform multiple opening and closing actions, obtaining control instructions in each opening and closing action, and collecting electrical data at different times in each opening and closing action; analyzing potential fault results according to the electrical data, and fitting the control instructions, electrical data, and fault results into characteristic data; iteratively calculating the characteristic data on a random race group based on a Black Kite algorithm model; adjusting the fitness value of the Black Kite algorithm model so that the Black Kite algorithm model reaches the number of iterations and converges; controlling the target circuit breaker to perform multiple opening and closing actions, and collecting electrical data in each opening and closing action of the target circuit breaker; substituting the electrical data collected by the target circuit breaker into the adjusted Black Kite algorithm model, and the adjusted Black Kite algorithm model optimizes the control instructions for the target circuit breaker, wherein the control instructions are used to control the opening and closing time of the target circuit breaker.

[0007] A method for optimizing the opening and closing time according to an embodiment of the present invention has at least the following beneficial effects:

[0008] The invention discloses a method for optimizing the opening and closing time, collects electrical data in the opening and closing actions of each circuit breaker, fits the control instructions, electrical data and fault results obtained by analysis in each opening and closing action into characteristic data, uses the characteristic data to construct a Black Kite algorithm model, performs iterative calculations on the Black Kite algorithm model, adjusts the fitness value of the Black Kite algorithm model so that the Black Kite algorithm model reaches the number of iterations and finally converges, and when optimizing the control instructions of the target circuit breaker, uses the adjusted Black Kite algorithm model to analyze the electrical data generated by the opening and closing actions of the target circuit breaker, and optimizes the control instructions of the target circuit breaker. The design monitors the electrical data of the circuit breaker coil, reasonably optimizes the control instructions of the opening and closing actions of the circuit breaker, and improves the operation stability.

[0009] According to some embodiments of the present invention, the electrical data includes one or more of the maximum current value of the circuit breaker coil in the closing action, the maximum current value of the circuit breaker coil in the opening action, the current change rate of the circuit breaker coil before and after closing, the current change rate of the circuit breaker coil before and after opening, the average current of the circuit breaker coil in the opening action, and the average current of the circuit breaker coil in the closing action.

[0010] According to some embodiments of the present invention, the control instruction is used to control the electrical variable target acting on the circuit breaker coil, and the electrical variable target includes the voltage amplitude applied at both ends of the circuit breaker coil, the voltage pulse width applied at both ends of the circuit breaker coil, and the slope of the current rising edge of the circuit breaker coil; in the iterative operation of the feature data on the random ethnic group based on the Black Kite algorithm model, it includes: using the electrical variable target as the decision variable of the Black Kite algorithm model to form an individual position vector.

[0011] According to some embodiments of the present invention, in adjusting the fitness value of the Black Kite algorithm model so that the Black Kite algorithm model reaches the number of iterations and converges, the fitness value is obtained by weighted calculation of control instructions for the circuit breaker coil and operating requirements.

[0012] According to some embodiments of the present invention, the control instruction includes controlling the closing time t of the circuit breaker. h , control the opening time t of the circuit breaker f And the power consumption current I of the control circuit breaker coil w , the operating requirements include the failure rate f a ;

[0013] Fitness value = w1×t h +w2×t f +w3×I w +w4×f a ;

[0014] Among them, w1 is the weight coefficient of controlling the closing time of the circuit breaker, w2 is the weight coefficient of controlling the opening time of the circuit breaker, w3 is the weight coefficient of controlling the power consumption current of the circuit breaker coil, and w4 is the weight coefficient of the failure rate.

[0015] According to some embodiments of the present invention, fitting the control instructions, electrical data and fault results into characteristic data includes: fitting the control instructions, electrical data and fault results into characteristic data using a least squares support vector machine algorithm.

[0016] According to some embodiments of the present invention, after collecting electrical data at different times in each opening and closing action, the method includes: comparing the collected electrical data with a preset electrical abnormality range, and eliminating electrical data that exceeds the electrical abnormality range.

[0017] According to the second aspect of the present invention, the analysis system includes: an acquisition module for collecting electrical data of each circuit breaker and a target circuit breaker; a control module connected to the acquisition module, and the control module is used to execute the opening and closing time optimization processing method disclosed in any of the above embodiments to optimize the control instructions for the target circuit breaker.

[0018] The analysis system according to the embodiment of the present invention has at least the following beneficial effects:

[0019] The analysis system of the present invention utilizes the opening and closing time optimization processing method disclosed in any of the above embodiments to optimize the control instructions for the target circuit breaker, monitor the electrical data of the circuit breaker coil, reasonably optimize the control instructions for the opening and closing actions of the circuit breaker, and improve the operation stability.

[0020] According to the control device of the third aspect of the embodiment of the present invention, the control device includes a memory and a processor, the memory stores a computer program, and the processor implements the opening and closing time optimization processing method disclosed in any of the above embodiments when executing the computer program.

[0021] According to the computer-readable storage medium of the fourth aspect of the present invention, the computer-readable storage medium stores a computer program, and is characterized in that when the computer program is executed by a processor, the method for optimizing the opening and closing time disclosed in any of the above embodiments is implemented.

[0022] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0024] Figure 1 A flow chart of one embodiment of the method for optimizing the opening and closing time of the present invention;

[0025] Figure 2 It is a schematic diagram of the current waveform of the circuit breaker opening and closing coil;

[0026] Figure 3 It is a principle structure block diagram of one embodiment of the analysis system of the present invention;

[0027] Figure 4 This is a principle structural block diagram of one embodiment of the control device of the present invention.

[0028] Reference numerals:

[0029] Circuit breaker 200 ; control module 300 ; acquisition module 400 ; processor 510 ; memory 520 ; input / output interface 530 ; communication interface 540 ; bus 550 . DETAILED DESCRIPTION

[0030] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0031] It should be noted that, although the functional modules are divided in the device schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first", "second", etc. in the specification, claims and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0032] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0033] like Figure 1 As shown, a method for optimizing the opening and closing time according to an embodiment of the first aspect of the present invention includes:

[0034] S110, controlling each circuit breaker to perform multiple opening and closing actions, obtaining control instructions in each opening and closing action, and collecting electrical data at different times in each opening and closing action;

[0035] S120, analyzing potential fault results according to electrical data, and fitting control instructions, electrical data, and fault results into characteristic data;

[0036] S130, performing iterative operations on the feature data for the random ethnic groups based on the black-winged kite algorithm model;

[0037] S140, adjusting the fitness value of the black kite algorithm model so that the black kite algorithm model reaches the number of iterations and converges;

[0038] S150, controlling the target circuit breaker to perform multiple opening and closing actions, and collecting electrical data in each opening and closing action of the target circuit breaker;

[0039] S160. Substituting the electrical data collected by the target circuit breaker into the adjusted Black Kite algorithm model, the adjusted Black Kite algorithm model optimizes the control instructions for the target circuit breaker, wherein the control instructions are used to control the opening and closing time of the target circuit breaker.

[0040] Among them, a current transformer can be set in the coil of the circuit breaker 200, and the current transformer is used to detect the current information of the circuit breaker 200 as electrical data. The opening and closing time of each circuit breaker 200 is controlled by the control module 300 in the electrical system. Specifically, the control module 300 may include a processor such as a CPU and its auxiliary circuits, and also includes a drive unit composed of a switch tube or a relay. The drive unit is connected to the coil of the circuit breaker 200. The processor outputs a control instruction to control the driving unit to close, so that the coil of the circuit breaker 200 is energized. The coil of the circuit breaker 200 is energized to drive the circuit breaker 200 to open and close.

[0041] During the circuit breaker opening and closing process, Figure 2 As shown, it includes the following stages:

[0042] Stage 1: t0~t1; t0 is the time when the circuit breaker opening and closing command is issued. The circuit breaker coil is energized at t0, and the current rises exponentially. t1 is the time when the closing coil core starts to move, and the current starts to drop. This stage can reflect the state of the circuit breaker coil.

[0043] Stage 2: t1-t2; at t1, due to the increase of the circuit breaker coil current, the iron core begins to accelerate under the action of the electromagnetic force, and the current begins to decrease. t2 indicates that the iron core touches the load of the operating machine, the moving contact starts to move, and the iron core stops moving. This stage reflects the movement state of the electromagnet core, whether there is jamming, tripping, or changes in the energy release mechanical load, etc.

[0044] Stage 3: t2-t3, the process in which the operating mechanism drives the contacts to close. When the iron core hits the closing lock device to lock the door or valve, the iron core stops moving or bounces briefly, and the current begins to increase, causing the opening spring to start opening.

[0045] Stage 4: t3~t4, this stage is the continuation of stage 3, the current keeps increasing slowly, the current reaches a near steady state, and the breaking process continues;

[0046] Stage 5: t4~t5, at t4, the auxiliary contact of the circuit breaker is cut off and the current decreases rapidly. At t5, the loop current decreases to zero. During this stage, the auxiliary switch is disconnected, an arc is generated and elongated at the auxiliary switch contact key, and the arc voltage will increase rapidly, forcing the coil current to decrease rapidly. The contacts are completely separated, and the equivalent resistance between the contacts increases rapidly until the arc is completely extinguished.

[0047] The invention discloses a method for optimizing the opening and closing time, collects electrical data in the opening and closing actions of each circuit breaker, fits the control instructions, electrical data and fault results obtained by analysis in each opening and closing action into characteristic data, uses the characteristic data to construct a Black Kite algorithm model, performs iterative calculations on the Black Kite algorithm model, adjusts the fitness value of the Black Kite algorithm model so that the Black Kite algorithm model reaches the number of iterations and finally converges, and when optimizing the control instructions of the target circuit breaker, uses the adjusted Black Kite algorithm model to analyze the electrical data generated by the opening and closing actions of the target circuit breaker, and optimizes the control instructions of the target circuit breaker. The design monitors the electrical data of the circuit breaker coil, reasonably optimizes the control instructions of the opening and closing actions of the circuit breaker, and improves the operation stability.

[0048] In some embodiments of the present invention, the electrical data includes one or more of the maximum current value of the circuit breaker coil in the closing action, the maximum current value of the circuit breaker coil in the opening action, the current change rate of the circuit breaker coil before and after closing, the current change rate of the circuit breaker coil before and after opening, the average current of the circuit breaker coil in the opening action, and the average current of the circuit breaker coil in the closing action.

[0049] In some embodiments of the present invention, the control instruction is used to control the electrical variable target acting on the circuit breaker coil, and the electrical variable target includes the voltage amplitude applied at both ends of the circuit breaker coil, the voltage pulse width applied at both ends of the circuit breaker coil, and the slope of the current rising edge of the circuit breaker coil; in the iterative operation of the feature data on the random ethnic group based on the Black Kite algorithm model, it includes: using the electrical variable target as the decision variable of the Black Kite algorithm model to form an individual position vector.

[0050] Specifically, the Black Winged Kite Algorithm model BKA (Black Winged Kite Algorithm) optimizes the parameters of LSSVM and finds the optimal solution by performing iterative operations on random ethnic groups.

[0051] In step S130, a matrix of the black kite algorithm model is first constructed as an initial population to create a set of random solutions. The following matrix can be used to represent the position of each black kite (BK):

[0052]

[0053] Among them, pop is used to represent the number of potential solutions, dim is used to represent the size of the given problem dimension, and BK i，j is the position of the j-th black-winged kite in the ith row to ensure that the position of each black-winged kite is evenly distributed.

[0054] From this we can get:

[0055] X i =BK lb +rand(BK ub -BK lb );

[0056] Where i is an integer between 1 and pop, BK kb is the lower limit of the i-th black kite in the j-th row, BK ub is the upper limit of the i-th black kite in the j-th row, and rand is a value randomly selected between [0, 1].

[0057] The individual with the best fitness value in the initial population of the Black Kite Algorithm model is selected as the leader X L , this position is considered to be the best position for black-winged kites. Taking the minimum value as an example, the initial leader X L The mathematical representation of is:

[0058] f best =min(f(X i ));

[0059] X L =X(find(f best =f(X i )));

[0060] Mathematical model for simulating the attack behavior of black kites in the black kite algorithm model:

[0061]

[0062] in, represents the position of the jth black-winged kite in the ith row at the tth iteration, represents the position of the jth black kite in the ith row at the t+1th iteration, r is a random number ranging from 0 to 1, p is a constant value of 0.9, T is the total number of iterations, and t is the number of iterations completed so far.

[0063] Among them, simulating the attack behavior of the black-winged kite can include different attack behaviors for global exploration and search.

[0064] Bird migration is usually led by a leader. Therefore, a hypothesis based on bird migration is proposed. If the fitness value of the current population is less than the fitness value of the random population, the leader will give up leadership and join the migrating population, indicating that it is not suitable to lead the population forward. On the contrary, if the fitness value of the current population is greater than the fitness value of the random population, it will guide the population until it reaches the destination. The following is a mathematical model of black-winged kite migration behavior:

[0065]

[0066] m = 2 × sin (r + π / 2);

[0067] in, represents the leader of the black kites in the jth dimension at the tth iteration so far, represents the position of the jth black-winged kite in the ith row at the tth iteration, represents the position of the jth black-winged kite in the ith row at the t+1th iteration, F i represents the current position in the jth dimension obtained by any black-winged kite in the tth iteration, F ri represents the fitness value of a random position in the jth dimension obtained from any black kite in t iterations, and C(0, 1) represents the Cauchy mutation.

[0068] The Cauchy mutation is defined as a one-dimensional Cauchy distribution with two parameters.

[0069] Probability density function of the one-dimensional Cauchy distribution:

[0070]

[0071] When δ=1,μ=0,the probability density function will become the standard form, that is:

[0072]

[0073] In some embodiments of the present invention, in adjusting the fitness value of the Black Kite algorithm model so that the Black Kite algorithm model reaches the number of iterations and converges, the fitness value is obtained by weighted calculation of control instructions for the circuit breaker coil and operating requirements.

[0074] The fitness value of the Black Kite algorithm model and whether it can reach the expected fitness value determine the quality of the optimization result of the Black Kite algorithm model, and the fitness value can be set by the control instructions and operating requirements of the circuit breaker coil. Among them, the control instructions can be used to derive requirements for the on and off time of the circuit breaker coil, the applied voltage, the power consumption current of the circuit breaker coil, etc., while the operating requirements are the requirements set by the user for the failure rate or operating stability of the circuit breaker.

[0075] In some embodiments of the present invention, the control instruction includes controlling the closing time t of the circuit breaker. h , control the opening time t of the circuit breaker f And the power consumption current I of the control circuit breaker coil w , the operating requirements include the failure rate f a ;

[0076] Fitness value = w1×t h +w2×t f +w3×I w+w4×f a ;

[0077] Among them, w1 is the weight coefficient of controlling the closing time of the circuit breaker, w2 is the weight coefficient of controlling the opening time of the circuit breaker, w3 is the weight coefficient of controlling the power consumption current of the circuit breaker coil, and w4 is the weight coefficient of the failure rate.

[0078] In some embodiments of the present invention, fitting the control instructions, electrical data and fault results into characteristic data includes:

[0079] The least squares support vector machine algorithm is used to fit the characteristic data of control instructions, electrical data and fault results.

[0080] The least squares formula is called curve fitting in mathematics, including the linear regression equation and the least squares method of the matrix. The linear least squares formula is a=y-bx.

[0081] Support vector machine is a kind of generalized linear classifier that performs binary classification on data in a supervised learning manner. Its decision boundary is the maximum margin hyperplane solved for the learning samples.

[0082] By using the least squares method and support vector machine algorithm, the optimization index adopts the square term, and the equality constraint replaces the inequality constraint of the support vector machine. The quadratic programming problem is transformed into a linear equation system for solution, which reduces the computational complexity and speeds up the solution.

[0083] In some embodiments of the present invention, after collecting the electrical data at different times in each opening and closing action, the method includes: comparing the collected electrical data with a preset electrical abnormality range, and eliminating electrical data that exceeds the electrical abnormality range.

[0084] It is understandable that the staff can set the electrical abnormality range to clean the acquired electrical data. Abnormal data beyond the electrical abnormality range obviously does not conform to the operating characteristics of the circuit breaker. Therefore, the electrical data is eliminated to prevent interference with the construction of the Black Kite algorithm model.

[0085] According to the analysis system of the second aspect of the present invention, Figure 3 As shown, it includes: a collection module 400, which is used to collect electrical data of each circuit breaker 200 and a target circuit breaker 200; a control module 300, which is connected to the collection module 400, and the control module 300 is used to execute the opening and closing time optimization processing method disclosed in any of the above embodiments to optimize the control instructions for the target circuit breaker 200.

[0086] Among them, the acquisition module 400 may include a current transformer installed on the coil of the circuit breaker 200, and the current transformer is used to detect the current information of the circuit breaker 200 as electrical data. The control module 300 may include an MCU or a CPU and its affiliated circuits. The control module 300 is connected to the circuit breaker 200 to control the operation of the circuit breaker 200.

[0087] The analysis system of the present invention utilizes the opening and closing time optimization processing method disclosed in any of the above embodiments to optimize the control instructions for the target circuit breaker 200, monitor the electrical data of the circuit breaker 200 coil, reasonably optimize the control instructions for the opening and closing actions of the circuit breaker 200, and improve the operation stability.

[0088] According to the control device of the third aspect of the present invention, the control device includes a memory 520 and a processor 510, the memory 520 stores a computer program, and the processor 510 implements the opening and closing time optimization processing method disclosed in any of the above embodiments when executing the computer program.

[0089] The control device can be any intelligent terminal including a central computer, a remote device terminal computer, etc.

[0090] like Figure 4 As shown, Figure 4 The hardware structure of the control device of another embodiment is also illustrated, and the control device comprises:

[0091] The processor 510 may be implemented by a general-purpose central processing unit 510 (CPU), a microprocessor 510, an application specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;

[0092] The memory 520 can be implemented in the form of a read-only memory 520 (ROM), a static storage device, a dynamic storage device, or a random access memory 520 (RAM). The memory 520 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 520, and the processor 510 calls and executes the opening and closing time optimization processing method of the embodiment of this application;

[0093] Input / output interface 530, used to implement information input and output;

[0094] Communication interface 540, used to realize communication interaction between the device and other devices, which can be realized through wired mode (such as USB, network cable, etc.) or wireless mode (such as mobile network, WIFI, Bluetooth, etc.);

[0095] bus 550 , which transmits information between the various components of the device (e.g., processor 510 , memory 520 , input / output interface 530 , and communication interface 540 );

[0096] The processor 510 , the memory 520 , the input / output interface 530 and the communication interface 540 are connected to each other in communication within the device via the bus 550 .

[0097] According to the computer-readable storage medium of the fourth aspect of the present invention, the computer-readable storage medium stores a computer program, which is characterized in that when the computer program is executed by the processor 510, it implements the opening and closing time optimization processing method disclosed in any of the above embodiments.

[0098] The memory 520, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory 520 may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0099] The embodiments described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0100] Those skilled in the art will appreciate that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than shown in the figures, or a combination of certain steps, or different steps.

[0101] The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0102] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.

[0103] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0104] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but the scope of the rights of the present invention is not limited thereto. Any modification, equivalent substitution and improvement made by a person skilled in the art without departing from the scope and essence of the present invention should be within the scope of the rights of the present invention.

Claims

1. A method for optimizing the opening and closing time, characterized in that: include: Control each circuit breaker to perform multiple opening and closing actions, obtain the control instructions in each opening and closing action, and collect electrical data at different times in each opening and closing action; Analyze potential fault results based on electrical data, and fit control instructions, electrical data, and fault results into characteristic data; Iterate the feature data on random ethnic groups based on the Black Kite algorithm model; Adjust the fitness value of the Black Kite algorithm model so that the Black Kite algorithm model reaches the number of iterations and converges; Control the target circuit breaker to open and close multiple times, and collect electrical data during each opening and closing action of the target circuit breaker; The electrical data collected by the target circuit breaker is substituted into the adjusted Black Kite algorithm model, and the adjusted Black Kite algorithm model optimizes the control instructions for the target circuit breaker, wherein the control instructions are used to control the opening and closing time of the target circuit breaker.

2. A method for optimizing the opening and closing time according to claim 1, characterized in that: The electrical data includes one or more of the maximum current value of the circuit breaker coil in the closing action, the maximum current value of the circuit breaker coil in the opening action, the current change rate of the circuit breaker coil before and after closing, the current change rate of the circuit breaker coil before and after opening, the average current of the circuit breaker coil in the opening action, and the average current of the circuit breaker coil in the closing action.

3. The method for optimizing the opening and closing time according to claim 1, characterized in that: The control instruction is used to control the electrical variable target acting on the circuit breaker coil, and the electrical variable target includes the voltage amplitude applied at both ends of the circuit breaker coil, the voltage pulse width applied at both ends of the circuit breaker coil, and the slope of the current rising edge of the circuit breaker coil; in the iterative operation of the feature data on the random race group based on the Black Kite algorithm model, it includes: using the electrical variable target as the decision variable of the Black Kite algorithm model to form an individual position vector.

4. A method for optimizing the opening and closing time according to claim 1, characterized in that: In the step of adjusting the fitness value of the Black Kite algorithm model so that the Black Kite algorithm model reaches the number of iterations and converges, the fitness value is obtained by weighted calculation of the control instructions for the circuit breaker coil and the operation requirements.

5. The method for optimizing the opening and closing time according to claim 1, characterized in that: The control instruction includes controlling the closing time t of the circuit breaker h , control the opening time t of the circuit breaker f And the power consumption current I of the control circuit breaker coil w , the operating requirements include the failure rate f a ; Fitness value = w1×t h +w2×t f +w3×I w +w4×f a ; Among them, w1 is the weight coefficient of controlling the closing time of the circuit breaker, w2 is the weight coefficient of controlling the opening time of the circuit breaker, w3 is the weight coefficient of controlling the power consumption current of the circuit breaker coil, and w4 is the weight coefficient of the failure rate.

6. The method for optimizing the opening and closing time according to claim 1, characterized in that: Fitting control instructions, electrical data and fault results into characteristic data includes: The least squares support vector machine algorithm is used to fit the characteristic data of control instructions, electrical data and fault results.

7. The method for optimizing the opening and closing time according to claim 1, characterized in that: After collecting the electrical data at different times in each opening and closing action, the following steps are included: The collected electrical data is compared with the preset electrical abnormality range, and the electrical data exceeding the electrical abnormality range is eliminated.

8. An analysis system, characterized in that include: An acquisition module is used to collect electrical data of each circuit breaker and a target circuit breaker; a control module is connected to the acquisition module, and the control module is used to execute the opening and closing time optimization processing method as described in any one of claims 1 to 7 to optimize the control instructions for the target circuit breaker.

9. A control device, characterized in that: include: one or more memories; One or more processors, used to execute one or more computer programs stored in the one or more memories, and also used to execute the method for optimizing the opening and closing time as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The method comprises instructions which, when executed on a computer, enable the computer to execute the method for optimizing the opening and closing time as claimed in any one of claims 1 to 7.

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