Multi-information data link anti-over-tripping device and its control system

Abstract

The present invention discloses a multi-information data chain anti-overtripping device and a control system thereof, which specifically relates to the field of electric power automation control, and includes an information acquisition module, a state analysis module, a comparison and verification module and a special situation processing module. By acquiring electrical signal parameter monitoring information and load protection delay state information and performing comprehensive analysis, a protection efficiency monitoring model is established, and auxiliary self-inspection is performed in combination with CRC verification effectiveness. The auxiliary self-inspection result is compared and classified with a preset self-inspection standard and an analysis signal is generated. The special situation state is evaluated by the analysis signal, and the stability and timeliness of the multi-information data chain anti-overtripping control system are tested, and maintenance risk prompts are given. The present invention performs a comprehensive analysis of the operating state of the multi-information data chain anti-overtripping control system by detecting a monitoring efficiency index, judges abnormal hidden dangers and issues early warning prompts, so that the staff can perceive abnormal hidden danger phenomena in time, detect abnormal hidden dangers, and prevent system failures or failures.

Description

Technical Field

[0001] The present invention relates to the field of electric power automation control, and more specifically, to a multi-information data chain anti-over-tripping device and a control system thereof. Background Art

[0002] The anti-over-tripping device is a protective device used in power systems. It is designed to prevent power equipment from tripping unnecessarily when an abnormality or fault occurs in the power grid, thereby reducing interference with the power system. This control device helps to improve the reliability and stability of the power system.

[0003] The existing anti-over-tripping device and its control system lack accurate and effective real-time self-test function, and focus on analyzing the ground fault characteristics according to the preset zero-sequence current state and performing anti-over-tripping operation according to the fault characteristics, ignoring the detection accuracy and stability of the anti-over-tripping device and its control system itself.

[0004] In order to solve the above defects, a technical solution is now proposed. Summary of the invention

[0005] The object of the present invention is to provide a multi-information data link anti-over-tripping device and a control system thereof to solve the deficiencies in the background technology.

[0006] In order to achieve the above-mentioned object, the present invention provides the following technical solutions: a multi-information data link anti-over-tripping device and a control system thereof, comprising an information acquisition module, a state analysis module, a comparison and verification module and a special situation processing module;

[0007] The information acquisition module is used to collect the electrical signal parameter monitoring information and the load protection delay status information of the multi-information data link anti-over-tripping control system, and transmit the electrical signal parameter monitoring information and the load protection delay status information to the status analysis module;

[0008] The state analysis module is used to comprehensively analyze the electrical signal parameter monitoring information and the load protection delay state information, establish a protection efficiency monitoring model, and perform auxiliary self-check on the multi-information data link anti-overtripping control system in combination with the operating state and CRC check validity of the multi-information data link anti-overtripping control system, and process the operating state of the multi-information data link anti-overtripping control system through mathematical analysis;

[0009] The comparison and verification module is used to compare and classify the auxiliary self-test results with the preset self-test standards, and generate analysis signals according to the comparison results;

[0010] The special situation processing module is used to evaluate the special situation status by analyzing the signal, to check the stability and timeliness of the multi-information data link anti-overtripping control system, and to check the maintenance status to provide maintenance prompts.

[0011] In a preferred embodiment, the electrical signal parameter monitoring information includes an AD conversion delay response coefficient, and the calculation method of the AD conversion delay response coefficient is:

[0012] S101, obtain the optimal AD conversion duration range of the multi-information data link anti-tripping control system, and the optimal AD conversion duration range is calibrated as C1-C2;

[0013] S102, obtaining the AD conversion duration of the multi-information data link anti-overstepping tripping control system running within T time, and calibrating the AD conversion duration as Ce, e is the number of the AD conversion duration of the multi-information data link anti-overstepping tripping control system running within T time, and , where r is a positive integer;

[0014] S103, calibrate the AD conversion time that is greater than the maximum value of the optimal AD conversion time range C1-C2 as Cu, and , where p is a positive integer;

[0015] S104, the expression for calculating the AD conversion delay response coefficient is: .

[0016] In a preferred embodiment, the electrical signal parameter monitoring information also includes updating the FFT sampling rate, and the calculation method for updating the FFT sampling rate is:

[0017] S201, the multi-information data link anti-over-tripping control system detects the frequency change data of the variable frequency generator, calibrates the initial frequency as If, the final frequency as Ef, and the calculation expression of the frequency transition coefficient is: , where for The correction factor of Greater than 0;

[0018] S202. The calculation expression for updating the FFT sampling rate of the multi-information data link anti-over-tripping control system is: ,in At the same time, the frequency sampling interval is updated as , where Sl is the length of the discrete signal to be transformed by FFT.

[0019] In a preferred embodiment, the load protection delay state information is a dynamic balance delay period coefficient, and the calculation method of the dynamic balance delay period coefficient is as follows;

[0020] S301, obtaining a preset third level tripping current, and calibrating the third level tripping current as Tc;

[0021] S302, the calculation expression of setting delay time Sv is: ,in for The proportionality coefficient of Greater than 0;

[0022] S303, integrating the historical setting delay time data into a data set, and numbering the historical setting delay time data as Sa, where , and z is a positive integer;

[0023] S304. Calculate the standard deviation of the historical setting delay time data. The expression of the standard deviation Sd is: , where is the average value of the historical setting delay time data, and its calculation expression is: ;

[0024] S305. The calculation expression of the dynamic balance delay period coefficient is: .

[0025] In a preferred embodiment, the logic of performing auxiliary self-check on the multi-information data link anti-over-tripping control system in combination with the CRC check validity is:

[0026] S401, calibrate the CRC check validity coefficient of the multi-information data link anti-over-tripping control system as Ck, if the CRC check passes, Ck takes 1, if the CRC check fails or the check times out, Ck takes 0;

[0027] S402. Calculate the monitoring efficiency index Me of the multi-information data link anti-over-tripping control system, and its calculation expression is: , where are the proportional coefficients of the AD conversion delay response coefficient and the dynamic balance delay period coefficient, respectively, and Both are greater than 0.

[0028] In a preferred embodiment, logic for generating an analysis signal based on the auxiliary self-test result;

[0029] The calculated monitoring efficiency index of the multi-information data link anti-over-tripping control system is compared with the preset monitoring efficiency index threshold. If the calculated monitoring efficiency index is greater than or equal to the preset monitoring efficiency index, a transition signal is generated; if the calculated monitoring efficiency index is less than the preset monitoring efficiency index, a maintenance signal is generated.

[0030] In a preferred embodiment, the logic of performing special situation status assessment by analyzing the signal;

[0031] When the transition signal is generated, a data set is generated based on the continuous monitoring efficiency index data of the multi-information data link anti-over-tripping control system within T time after the transition signal is generated, and the monitoring efficiency index in the data set is calibrated as Js, where s is the monitoring efficiency index number, that is, , where v is a positive integer;

[0032] Calculate the standard deviation of several monitoring efficiency indexes in the data set, and calibrate the standard deviation of the monitoring efficiency index as Sj, and compare the standard deviation of the monitoring efficiency index Sj with the preset monitoring efficiency index standard deviation threshold Dj, and perform early warning processing based on the comparison results. The processing logic is as follows:

[0033] If Sj is greater than or equal to Dj, the multi-information data link anti-over-tripping control system is marked as a high-risk level, prompting the staff that the multi-information data link anti-over-tripping control system has serious risk hazards and needs to be inspected and maintained;

[0034] If Sj is less than Dj, the multi-information data link anti-overtripping control system is marked as a low-risk level, reminding the staff that the multi-information data link anti-overtripping control system has low-risk hazards and does not need to be inspected and maintained.

[0035] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0036] The present invention detects the monitoring efficiency index of the multi-information data link anti-overtripping control system. When an abnormality is found in the data processing stability, a comprehensive analysis is performed on the subsequent operation status of the multi-information data link anti-overtripping control system, the abnormal hidden dangers are determined and an early warning is issued. On the one hand, it is convenient for the staff to perceive the abnormal hidden danger phenomenon in time, detect the abnormal hidden danger in advance, and effectively prevent the risk of untimely early warning of potential faults and abnormalities caused by reduced stability of data processing, thereby effectively preventing system crashes or failures and preventing data processing efficiency from being reduced. On the other hand, it is convenient for the staff to detect the comprehensive status of the multi-information data link anti-overtripping control system, facilitate the staff to conduct detection management, and improve work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0038] Figure 1 It is a system module diagram of the present invention. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not 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.

[0040] like Figure 1 As shown, the present invention is a multi-information data link anti-over-tripping device and its control system, including an information acquisition module, a state analysis module, a comparison and verification module and a special situation processing module;

[0041] The information acquisition module is used to collect the electrical signal parameter monitoring information and the load protection delay status information of the multi-information data link anti-over-tripping control system, and transmit the electrical signal parameter monitoring information and the load protection delay status information to the status analysis module;

[0042] The state analysis module is used to conduct a comprehensive analysis of the electrical signal parameter monitoring information and the load protection delay state information, establish a protection efficiency monitoring model, and perform induction classification of the operating state of the multi-information data link anti-over-tripping control system through mathematical analysis;

[0043] The comparison and verification module is used to perform auxiliary self-inspection on the multi-information data link anti-overstepping tripping control system by combining the operation status type and CRC verification validity of the multi-information data link anti-overstepping tripping control system, and compare the auxiliary self-inspection result with the preset self-inspection standard;

[0044] The special situation processing module is used to evaluate the special situation status by comparing the auxiliary self-test results with the preset self-test standards, verify the stability and timeliness of the multi-information data link anti-overtripping control system, and verify the maintenance status to provide detection and maintenance prompts.

[0045] The electrical signal parameter monitoring information includes the AD conversion delay response coefficient and the updated FFT sampling rate;

[0046] The multi-information data link anti-over-tripping control system collects the electrical signals of the three-phase circuit through the three-phase current transformer, converts the collected analog signals into digital signals through the high-precision AD conversion control system, and converts the time domain signals into frequency domain signals through the fast Fourier transform, so as to analyze and identify the abnormal operation status of the three-phase circuit;

[0047] High-precision AD conversion is responsible for converting analog signals such as current and voltage of the three-phase circuit into digital signals for fast Fourier transform and spectrum analysis. The efficiency of AD conversion is related to the real-time performance of the multi-information data link anti-over-tripping control system in collecting electrical signal parameters. If there is a delay in the efficiency of AD conversion, it will have the following serious impacts on the multi-information data link anti-over-tripping control system:

[0048] False or missed operations: Inefficiency in AD conversion may lead to misjudgment of the current amplitude or phase, resulting in erroneous tripping protection operation, which may cause the circuit to trip unnecessarily under normal conditions or fail to trip in time under fault conditions, thus endangering the reliability of the power system;

[0049] Degraded protection performance: Inefficient AD conversion may result in the inability to accurately capture details of the current waveform during a fault condition, which can degrade the performance of tripping protection devices, which are critical to protecting power systems from faults, short circuits, and other problems.

[0050] Delayed response: Inefficient AD conversion may take longer to sample and convert current data, which will cause a delay in the response time of the trip protection. In some cases, this may cause the equipment to be overloaded or damaged under fault conditions.

[0051] Degraded data quality: Inefficient AD conversion may result in distorted or lost data, which prevents protection devices from providing accurate information to assess the status of the power system, which can hinder fault diagnosis and data logging;

[0052] Instability: Inefficient AD conversion may lead to unstable performance, which may manifest as waveform distortion, unstable sampling frequency or data loss, which will negatively affect the stability and reliability of the trip protection device;

[0053] The AD conversion efficiency is expressed by the AD conversion delay response coefficient. The calculation method of the AD conversion delay response coefficient is as follows:

[0054] S101, obtain the optimal AD conversion duration range of the multi-information data link anti-tripping control system, and the optimal AD conversion duration range is calibrated as C1-C2;

[0055] It should be pointed out that the optimal AD conversion time range is evaluated by performing a stress emergency test on the multi-information data link anti-over-tripping control system, generating an electrical signal analysis spectrum with different AD conversion frequencies, and judging the response effect of the multi-information data link anti-over-tripping control system on the spectrum data to determine the optimal AD conversion time range;

[0056] S102, obtaining the AD conversion duration of the multi-information data link anti-overstepping tripping control system running within T time, and calibrating the AD conversion duration as Ce, e is the number of the AD conversion duration of the multi-information data link anti-overstepping tripping control system running within T time, and , where r is a positive integer;

[0057] It should be noted that the performance detection tool component can be used to analyze and monitor the status of the multi-information data chain anti-overtripping control system. Open source system performance monitoring tools include Prometheus, InfluxDB, Zabbix, etc., which can use multi-dimensional data models, define multiple tags for monitoring data, and record and save performance data through time series;

[0058] S103, calibrate the AD conversion time that is greater than the maximum value of the optimal AD conversion time range C1-C2 as Cu, and , where p is a positive integer;

[0059] S104, the expression for calculating the AD conversion delay response coefficient is: ;

[0060] From the expression of AD conversion delay response coefficient, it can be known that the larger the AD conversion delay response coefficient generated by the multi-information data link anti-overstepping tripping control system within the T time, the worse the operation stability and data accuracy of the multi-information data link anti-overstepping tripping control system will be. On the contrary, the smaller the AD conversion delay response coefficient generated by the multi-information data link anti-overstepping tripping control system within the T time, the better the operation stability and data accuracy of the multi-information data link anti-overstepping tripping control system will be.

[0061] In some industrial applications, special three-phase circuits contain variable frequency generators. The generator changes the output frequency by using a frequency converter to adjust the motor speed or adapt to different equipment requirements. Therefore, the signal frequency changes with the setting of the frequency converter.

[0062] The sampling frequency of the fast Fourier transform follows the Nyquist theorem. The Nyquist theorem stipulates that when performing Fourier transform or spectrum analysis, the signal must be sampled at a sufficiently high sampling rate to avoid aliasing. Aliasing means that when the frequency of the signal exceeds half of the sampling frequency, the high-frequency component in the spectrum will be mistaken for the low-frequency component, resulting in spectrum analysis errors. Due to the change in the frequency of the variable frequency generator, the fixed fast Fourier transform sampling frequency is difficult to adapt to the changing generator frequency, which may have the following serious impacts on the multi-information data link anti-over-tripping control system:

[0063] Frequency information loss: If the sampling frequency is too low, the high-frequency components in the signal will not be captured, because the FFT algorithm requires a sufficiently high sampling frequency to accurately represent high-frequency signals, which will result in the loss of important frequency information;

[0064] Misjudgment or missed faults: The main task of the trip protection control system is to detect faults in the power system, such as short circuits. If the sampling frequency is insufficient, the control system may not be able to accurately detect and distinguish different fault types, resulting in misjudgment or missed faults. High-frequency faults may not be detected, thus endangering the stability of the system and the safety of the equipment;

[0065] Response time delay: A sampling frequency that is too low will cause a response time delay in the FFT algorithm. Rapid fault detection and timely tripping are critical to the stability of the power system and the protection of equipment. If the sampling frequency is too low, the response to the fault may be delayed, thereby increasing the risk of damage.

[0066] Data distortion: Low sampling frequency may cause data distortion. When the sampling frequency is much lower than the signal frequency, the sampled data points are not enough to accurately represent the signal, which may lead to artifacts during signal reconstruction and inaccurate spectrum analysis.

[0067] The update control method of FFT sampling rate is as follows:

[0068] S201, the multi-information data link anti-over-tripping control system detects the frequency change data of the variable frequency generator, calibrates the initial frequency as If, the final frequency as Ef, and the calculation expression of the frequency transition coefficient is: , where for The correction factor of Greater than 0;

[0069] S202. The calculation expression for updating the FFT sampling rate of the multi-information data link anti-over-tripping control system is: ,in At the same time, the frequency sampling interval is updated as , where Sl is the length of the discrete signal to be transformed by FFT;

[0070] From the calculation expression of the FFT sampling rate update of the multi-information data link anti-over-tripping control system, it can be known that the FFT sampling rate update of the multi-information data link anti-over-tripping control system will change with the change of the set frequency of the variable frequency generator in the three-phase circuit, and ensure that the change range of the sampling rate can avoid aliasing;

[0071] When the multi-information data link anti-over-tripping control system detects that the zero-sequence current and zero-sequence voltage meet the grounding characteristics and reach the action threshold, the short-circuit protection outlet drives the shunt coil of the circuit breaker to cut off the power supply fault line to realize the zero-sequence protection function, and outputs an alarm at the same time to prompt that this drawer has exited operation due to the zero-sequence protection action, and adjusts the setting value of the zero-sequence protection to avoid huge economic losses caused by over-tripping and power outage;

[0072] The setting value of zero-sequence protection, including dynamic balance delay, after the fault drawer circuit is out of operation and power is restored for fault repair intervention, the multi-information data link anti-overtripping control system monitors and analyzes the fault circuit to determine the end of the unbalanced current delay in the starting section, and cooperates with the upper-level zero-sequence protection program to avoid the overall three-phase circuit being affected by the unbalanced current in the starting section. If the three-phase circuit is intervened before the unbalanced current ends, the following effects may be produced on the overall three-phase circuit:

[0073] Damaged or overloaded equipment: Unbalanced current may cause certain equipment to experience uneven current loads, some of which may overheat, burn out, or be overloaded, reducing their lifespan and increasing repair costs;

[0074] Unstable voltage and frequency: Unbalanced current can lead to unbalanced voltage and frequency in the power system, which can have a negative impact on other equipment and systems, including improper operation of equipment, reduced performance of motors, and damage to equipment;

[0075] Wasted power: Unbalanced current can cause uneven distribution of energy in the system, resulting in wasted power. Uneven current loads may require additional energy to maintain, increasing energy costs.

[0076] Power system instability: Unbalanced current may cause power system instability, which may lead to voltage fluctuations and frequency instability, and may even cause power system collapse or cascading failures;

[0077] Safety risks: Unbalanced current may pose a threat to operator safety, especially under high current conditions. Electric shock, fire and other safety risks may increase due to unbalanced current;

[0078] The load protection delay status information is the dynamic balance delay cycle coefficient, which is calculated by the set value of the third-level tripping current. The setting delay time is related to the set value of the third-level tripping current. The dynamic balance delay cycle coefficient is calculated by the third-level tripping current as follows:

[0079] S301, obtaining a preset third level tripping current, and calibrating the third level tripping current as Tc;

[0080] According to the provisions of clause 411.4.204 of the professional wiring rules BS 7671:2018+A2:2022, the setting of the third-level tripping current depends on the impedance of the ground fault line. It should be pointed out that the setting value of this parameter is set according to the specific technical characteristics of the three-phase circuit monitored by the multi-information data link anti-over-tripping control system by professional and technical personnel in this field, which will not be repeated here;

[0081] S302, the calculation expression of setting delay time Sv is: ,in for The proportionality coefficient of Greater than 0;

[0082] S303, integrating the historical setting delay time data into a data set, and numbering the historical setting delay time data as Sa, where , and z is a positive integer;

[0083] The historical setting delay time data is collected and integrated based on the three-phase circuit setting delay time recorded in the historical fault record log;

[0084] S304. Calculate the standard deviation of the historical setting delay time data. The expression of the standard deviation Sd is: , where is the average value of the historical setting delay time data, and its calculation expression is: ;

[0085] S305. The calculation expression of the dynamic balance delay period coefficient is: ;

[0086] According to the calculation expression of the dynamic balance delay cycle coefficient, the larger the dynamic balance delay cycle coefficient of the multi-information data link anti-overtripping control system, the worse the time stability of the multi-information data link anti-overtripping control system, indicating that the multi-information data link anti-overtripping control system has a greater risk of not timely warning of potential faults and abnormalities. On the contrary, the smaller the dynamic balance delay cycle coefficient of the multi-information data link anti-overtripping control system, the better the time stability of the multi-information data link anti-overtripping control system, indicating that the multi-information data link anti-overtripping control system has a smaller risk of not timely warning of potential faults and abnormalities.

[0087] Establish a protection efficiency monitoring model, classify the operating status of the multi-information data link anti-overtripping control system through mathematical analysis, and calculate the monitoring efficiency index in combination with the CRC check of the multi-information data link anti-overtripping control system;

[0088] S401, calibrate the CRC check validity coefficient of the multi-information data link anti-over-tripping control system as Ck, if the CRC check passes, Ck takes 1, if the CRC check fails or the check times out, Ck takes 0;

[0089] S402. Calculate the monitoring efficiency index Me of the multi-information data link anti-over-tripping control system, and its calculation expression is: , where are the proportional coefficients of the AD conversion delay response coefficient and the dynamic balance delay period coefficient, respectively, and All are greater than 0;

[0090] From the calculation formula of the monitoring efficiency index, it can be seen that the larger the AD conversion delay response coefficient of the multi-information data link anti-overtripping control system, the larger the dynamic balance delay cycle coefficient, and the larger the update FFT sampling rate, that is, the larger the monitoring efficiency index of the multi-information data link anti-overtripping control system, the worse the real-time performance of the multi-information data link anti-overtripping control system in data processing, and the greater the risk of untimely early warning of potential faults and abnormalities; conversely, the smaller the AD conversion delay response coefficient of the multi-information data link anti-overtripping control system, the smaller the dynamic balance delay cycle coefficient, and the smaller the update FFT sampling rate, that is, the smaller the monitoring efficiency index of the multi-information data link anti-overtripping control system, the better the real-time performance of the multi-information data link anti-overtripping control system in data processing, and the smaller the risk of untimely early warning of potential faults and abnormalities;

[0091] The comparison and verification module compares the calculated monitoring efficiency index of the multi-information data link anti-over-tripping control system with the preset monitoring efficiency index threshold, and generates a transition signal if the calculated monitoring efficiency index is greater than or equal to the preset monitoring efficiency index; if the calculated monitoring efficiency index is less than the preset monitoring efficiency index, a maintenance signal is generated;

[0092] The special situation processing module performs processing strategy analysis based on the transition signal generated by the comparison and verification module. After receiving the transition signal generated by the comparison and verification module, the special situation processing module integrates several continuous monitoring efficiency index data of the multi-information data link anti-over-tripping control system within T time after the transition signal is generated to generate a data set, and calibrates the monitoring efficiency index in the data set as Js, where s is the monitoring efficiency index number, that is, , where v is a positive integer;

[0093] Calculate the standard deviation of several monitoring efficiency indexes in the data set, and calibrate the standard deviation of the monitoring efficiency index as Sj, and compare the standard deviation of the monitoring efficiency index Sj with the preset monitoring efficiency index standard deviation threshold Dj, and perform early warning processing based on the comparison results. The processing logic is as follows:

[0094] If Sj is greater than or equal to Dj, the multi-information data link anti-over-tripping control system is marked as a high-risk level, prompting the staff that the multi-information data link anti-over-tripping control system has serious risk hazards and needs to be inspected and maintained;

[0095] If Sj is less than Dj, the multi-information data link anti-overtripping control system is marked as a low-risk level, reminding the staff that the multi-information data link anti-overtripping control system has low-risk hazards and does not need to be inspected and maintained.

[0096] The present invention detects the monitoring efficiency index of the multi-information data link anti-overtripping control system. When an abnormality is found in the data processing stability, a comprehensive analysis is performed on the subsequent operation status of the multi-information data link anti-overtripping control system, the abnormal hidden dangers are determined and an early warning is issued. On the one hand, it is convenient for the staff to perceive the abnormal hidden danger phenomenon in time, detect the abnormal hidden danger in advance, and effectively prevent the risk of untimely early warning of potential faults and abnormalities caused by reduced stability of data processing, thereby effectively preventing system crashes or failures and preventing data processing efficiency from being reduced. On the other hand, it is convenient for the staff to detect the comprehensive status of the multi-information data link anti-overtripping control system, facilitate the staff to conduct detection management, and improve work efficiency.

[0097] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0098] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of computer program goods. The computer program goods include one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0099] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0100] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0101] If the functions are implemented in the form of software functional units and sold or used as independent goods, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of software goods, which are stored in a storage medium and include several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0102] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. Multi-information data link anti-over-tripping device and its control system, characterized by: It includes information collection module, status analysis module, comparison and verification module and special situation processing module; The information acquisition module is used to collect the electrical signal parameter monitoring information and the load protection delay status information of the multi-information data link anti-over-tripping control system, and transmit the electrical signal parameter monitoring information and the load protection delay status information to the status analysis module; The state analysis module is used to comprehensively analyze the electrical signal parameter monitoring information and the load protection delay state information, establish a protection efficiency monitoring model, and perform auxiliary self-check on the multi-information data link anti-overtripping control system in combination with the operating state and CRC check validity of the multi-information data link anti-overtripping control system, and process the operating state of the multi-information data link anti-overtripping control system through mathematical analysis; The comparison and verification module is used to compare and classify the auxiliary self-test results with the preset self-test standards, and generate analysis signals according to the comparison results; The special situation processing module is used to evaluate the special situation status by analyzing the signal, check the stability and timeliness of the multi-information data link anti-over-tripping control system, and check the maintenance status to provide maintenance prompts; The load protection delay state information is the dynamic balance delay cycle coefficient, and the calculation method of the dynamic balance delay cycle coefficient is: S301, obtaining a preset third level tripping current, and calibrating the third level tripping current as Tc; S302, the calculation expression of setting delay time Sv is: ,in for The proportionality coefficient of Greater than 0; S303, integrating the historical setting delay time data into a data set, and numbering the historical setting delay time data as Sa, where , and z is a positive integer; S304. Calculate the standard deviation of the historical setting delay time data. The expression of the standard deviation Sd is: , where is the average value of the historical setting delay time data, and its calculation expression is: ; S305. The calculation expression of the dynamic balance delay period coefficient is: ; The logic of auxiliary self-check of multi-information data link anti-over-tripping control system combined with CRC check validity is as follows: S401, calibrate the CRC check validity coefficient of the multi-information data link anti-over-tripping control system as Ck, if the CRC check passes, Ck takes 1, if the CRC check fails or the check times out, Ck takes 0; S402. Calculate the monitoring efficiency index Me of the multi-information data link anti-over-tripping control system, and its calculation expression is: , where are the proportional coefficients of the AD conversion delay response coefficient and the dynamic balance delay period coefficient, respectively, and All are greater than 0; The electrical signal parameter monitoring information includes an AD conversion delay response coefficient, and the calculation method of the AD conversion delay response coefficient is as follows; S101, obtain the optimal AD conversion duration range of the multi-information data link anti-tripping control system, and the optimal AD conversion duration range is calibrated as C1-C2; S102, obtaining the AD conversion duration of the multi-information data link anti-overstepping tripping control system running within T time, and calibrating the AD conversion duration as Ce, e is the number of the AD conversion duration of the multi-information data link anti-overstepping tripping control system running within T time, and , where r is a positive integer; S103, calibrate the AD conversion time that is greater than the maximum value of the optimal AD conversion time range C1-C2 as Cu, and , where p is a positive integer; S104, the expression for calculating the AD conversion delay response coefficient is: ; The electrical signal parameter monitoring information also includes updating the FFT sampling rate. The calculation method for updating the FFT sampling rate is as follows; S201, the multi-information data link anti-over-tripping control system detects the frequency change data of the variable frequency generator, calibrates the initial frequency as If, the final frequency as Ef, and the calculation expression of the frequency transition coefficient is: , where for The correction factor of Greater than 0; S202. The calculation expression for updating the FFT sampling rate of the multi-information data link anti-over-tripping control system is: ,in At the same time, the frequency sampling interval is updated as , where Sl is the length of the discrete signal to be transformed by FFT.

2. The multi-information data link anti-over-tripping device and control system according to claim 1 is characterized in that: Logic for generating analysis signals based on auxiliary self-test results; The calculated monitoring efficiency index of the multi-information data link anti-over-tripping control system is compared with the preset monitoring efficiency index threshold. If the calculated monitoring efficiency index is greater than or equal to the preset monitoring efficiency index, a transition signal is generated; if the calculated monitoring efficiency index is less than the preset monitoring efficiency index, a maintenance signal is generated.

3. The multi-information data link anti-over-tripping device and control system according to claim 2 is characterized in that: Logic for evaluating special situation status by analyzing signals; When the transition signal is generated, a data set is generated based on the continuous monitoring efficiency index data of the multi-information data link anti-over-tripping control system within T time after the transition signal is generated, and the monitoring efficiency index in the data set is calibrated as Js, where s is the monitoring efficiency index number, that is, , where v is a positive integer; Calculate the standard deviation of several monitoring efficiency indexes in the data set, and calibrate the standard deviation of the monitoring efficiency index as Sj, and compare the standard deviation of the monitoring efficiency index Sj with the preset monitoring efficiency index standard deviation threshold Dj, and perform early warning processing based on the comparison results. The processing logic is as follows: If Sj is greater than or equal to Dj, the multi-information data link anti-over-tripping control system is marked as a high-risk level, prompting the staff that the multi-information data link anti-over-tripping control system has serious risk hazards and needs to be inspected and maintained; If Sj is less than Dj, the multi-information data link anti-overtripping control system is marked as a low-risk level, reminding the staff that the multi-information data link anti-overtripping control system has low-risk hazards and does not need to be inspected and maintained.

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