Method and system for scheduling electrical automation devices

Abstract

The application relates to the field of electrical automation equipment operation and maintenance scheduling, and discloses an electrical automation equipment scheduling method and system, which comprises the following steps: collecting equipment operation current effective value, working temperature and cumulative operation time to calculate a real-time wear cost rate, combining an external dynamic electricity price to generate a comprehensive marginal cost rate; calculating a scheduling priority response factor according to a task penalty coefficient, an elastic time limit margin and equipment cumulative wear amount; comparing the response factor with a preset wear threshold value; when the cumulative wear amount reaches the threshold value, locking the maximum elastic margin window, inserting a maintenance period and issuing a maintenance dispatching instruction; and when the cumulative wear amount does not reach the threshold value, issuing an equipment production scheduling instruction according to the comprehensive marginal cost rate, so that the application realizes the collaborative optimization of equipment maintenance and production scheduling, the joint deployment of physical attenuation states and operation and maintenance costs, the avoidance of optimization algorithm time delay and the reduction of comprehensive operation cost.

Description

Technical Field

[0001] This invention relates to a method and system for scheduling electrical automation equipment, belonging to the field of electrical automation equipment operation and maintenance scheduling technology. Background Technology

[0002] In industrial production management, the maintenance scheduling of electrical automation equipment such as frequency converters, servo drives, and motor controllers is usually completed by industrial asset management software. Existing systems generally generate periodic maintenance work orders based on the equipment's cumulative operating time or preset status monitoring thresholds, and remove the corresponding equipment from the production scheduling queue when scheduling maintenance. In actual production, the degree of electrothermal attenuation of electrical automation equipment is not a simple linear relationship with the effective value of operating current and operating temperature. At the same time, the external dynamic electricity price, maintenance labor costs, and production task delay penalties also vary significantly at different times. Existing asset management systems and production scheduling systems usually schedule equipment maintenance and production tasks separately, lacking linkage between the two. Therefore, the maintenance time determined by the system may overlap with the scheduling of high electricity price production periods or urgent orders, resulting in equipment downtime, capacity loss, and increased energy costs.

[0003] To simultaneously consider equipment status, production tasks, and various costs, some scheduling methods establish joint optimization models within continuously changing parameter ranges. However, as the number of equipment and production tasks increases, the computational load of the model increases rapidly, making it difficult to obtain scheduling results within the time required by the industrial site. When encountering sudden emergency orders or when multiple identical pieces of equipment reach maintenance thresholds at similar times, traditional scheduling methods also struggle to adjust in a timely manner based on cost changes and equipment safety constraints, easily leading to frequent rescheduling of production tasks and a significant decrease in the available capacity of the production line.

[0004] Therefore, how to convert the electrical and thermal degradation of equipment into discrete evaluation indicators that can be used for scheduling and management, and how to coordinate the timing of equipment maintenance and production tasks to balance production order delivery time and operation and maintenance costs, has become a technical problem that needs to be solved. Summary of the Invention

[0005] To address the problems in the background art, the technical solution of the present invention is as follows: A method for scheduling electrical automation equipment, comprising the following steps:

[0006] Step S1: Collect the effective value of the operating current, operating temperature and cumulative operating time of the electrical automation equipment during operation. Calculate the real-time wear cost rate of the electrical automation equipment by multiplying the square of the ratio of the effective value of the operating current to the rated current of the electrical automation equipment, and the exponential compensation term of the operating temperature and the reference temperature.

[0007] Step S2: Obtain the external dynamic electricity price, and calculate the comprehensive marginal cost rate of the electrical automation equipment to carry out the task at the current moment by combining the rated power and real-time wear and tear cost rate of the electrical automation equipment.

[0008] Step S3: Obtain the rated processing time, absolute deadline and unit delay penalty coefficient of each task in the queue to be scheduled. Subtract the current time and rated processing time from the absolute deadline to calculate the elastic time limit margin of each task. Based on the ratio of the unit delay penalty coefficient to the elastic time limit margin and the ratio of the cumulative wear of electrical automation equipment to the preset wear threshold, calculate the scheduling priority response factor of each task.

[0009] Step S4: Compare the scheduling priority response factor, cumulative wear amount, and preset wear threshold. When the cumulative wear amount reaches the preset wear threshold and there is a task with a flexible time limit margin greater than the preset maintenance duration, lock the task window with the largest flexible time limit margin, insert the maintenance period before the task starts, and generate a maintenance dispatch instruction. When the cumulative wear amount is lower than the preset wear threshold, sort the queue to be scheduled according to the comprehensive marginal cost rate and issue equipment production scheduling instructions.

[0010] Preferably, in step S3, the scheduling priority response factor is directly proportional to the unit delay penalty coefficient and inversely proportional to the elastic time limit margin, and it increases non-linearly as the ratio of accumulated wear to the preset wear threshold increases; when the accumulated wear approaches the preset wear threshold, the value of the scheduling priority response factor jumps accordingly, thereby increasing the response priority of the corresponding task in the queue to be scheduled.

[0011] Preferably, in step S2, the process of calculating the comprehensive marginal cost rate includes: multiplying the rated power of the electrical automation equipment by the external dynamic electricity price to obtain the real-time energy cost rate; and superimposing the real-time energy cost rate and the real-time wear cost rate in the same dimension over the time domain to generate the comprehensive marginal cost rate, which serves as a dynamic evaluation parameter for the normalized physical degradation state of the equipment and the time-varying energy cost.

[0012] Preferably, in step S4, the issuance process of maintenance dispatch instructions and equipment production scheduling instructions has a built-in hysteresis interval and sliding time window; when the scheduling priority response factor exceeds the preset threshold for three consecutive preset sampling periods, the scheduling queue reconstruction is triggered, and the current scheduling status is locked for a preset minimum locking time of not less than 1 hour.

[0013] Preferably, when an emergency task instruction is received, step S4 includes the following sub-steps: Step S41, extract the excess benefit coefficient of the emergency task, and dynamically raise the maintenance trigger threshold accordingly; Step S42, calculate the cumulative damage increment of the electrical automation equipment during the overload operation period based on the excess benefit coefficient; Step S43, compare the cumulative damage increment with the safety limit threshold, and when the cumulative damage increment does not exceed the safety limit threshold, temporarily suspend the issuance of maintenance dispatch instructions and prioritize the emergency task; Step S44, after the emergency task is completed, increase the pre-set wear weight factor to improve the maintenance priority of the electrical automation equipment.

[0014] Preferably, in the scenario of multiple electrical automation devices operating in parallel, step S3 includes the following sub-steps: Step S31, obtain the health residual value difference score of each electrical automation device; Step S32, according to the step distribution of the health residual value difference score, inject orthogonal fine-tuning amount into the wear weight factor of each electrical automation device, so that the scheduling priority response factor of each electrical automation device is discretized and misaligned; Step S33, according to the scheduling priority response factor that generates discretization and misalignment, spread the centrally generated maintenance period to different time windows, so as to realize the staggered and evenly distributed scheduling of maintenance time sequence of multiple devices.

[0015] Preferably, when the data acquisition of the effective value of the operating current and the operating temperature is missing, step S1 includes the following sub-steps: Step S11, start the degraded scheduling mode and stop calculating the real-time wear cost rate and scheduling priority response factor; Step S12, read the cumulative operating time of the electrical automation equipment and compare the cumulative operating time with the preset time ladder threshold; Step S13, when the cumulative operating time reaches the time ladder threshold, generate a conservative maintenance instruction and issue it.

[0016] Preferably, in step S4, when the accumulated wear amount is lower than the preset wear threshold, the process of sorting the queue to be scheduled according to the comprehensive marginal cost rate includes: extracting the current load demand of each task in the queue to be scheduled, and prioritizing matching and allocating high-load tasks with current load demand higher than the preset load threshold to the time period when the comprehensive marginal cost rate is in the preset low range for processing.

[0017] Preferably, in step S4, when the accumulated wear reaches the preset wear threshold, the process of locking the task window with the largest elastic time limit margin includes: filtering all tasks with an elastic time limit margin greater than the preset maintenance duration, obtaining the target task corresponding to the one with the largest elastic time limit margin value, preemptively inserting the maintenance period into the idle time period before the target task starts, and outputting a maintenance dispatch instruction containing the maintenance period and the target equipment identifier to the operation and maintenance management system.

[0018] An electrical automation equipment scheduling system, used to implement an electrical automation equipment scheduling method, includes:

[0019] The parameter acquisition and wear calculation module is used to collect the effective value of the operating current, the operating temperature and the cumulative operating time of the electrical automation equipment during operation. Based on the square of the ratio of the effective value of the operating current to the rated current of the electrical automation equipment, and the product of the exponential compensation term of the operating temperature and the reference temperature, the real-time wear cost rate of the electrical automation equipment is calculated.

[0020] The marginal cost accounting module is used to obtain the external dynamic electricity price and, combined with the rated power and real-time wear and tear cost rate of the electrical automation equipment, calculate the comprehensive marginal cost rate of the electrical automation equipment to carry out the task at the current moment.

[0021] The margin and response factor calculation module is used to obtain the rated processing time, absolute deadline and unit delay penalty coefficient of each task in the queue to be scheduled. By subtracting the current time and rated processing time from the absolute deadline, the elastic time limit margin of each task is calculated. Based on the ratio of the unit delay penalty coefficient to the elastic time limit margin and the ratio of the cumulative wear of electrical automation equipment to the preset wear threshold, the scheduling priority response factor of each task is calculated.

[0022] The discrete arbitration and instruction issuance module compares the scheduling priority response factor, cumulative wear amount, and preset wear threshold. When the cumulative wear amount reaches the preset wear threshold and there is a task with a flexible time limit margin greater than the preset maintenance duration, the task window with the largest flexible time limit margin is locked, the maintenance period is inserted before the task starts, and a maintenance dispatch instruction is generated. When the cumulative wear amount is lower than the preset wear threshold, the queue to be scheduled is sorted according to the comprehensive marginal cost rate and the equipment production scheduling instruction is issued.

[0023] Compared with the prior art, the beneficial effects of the present invention are:

[0024] 1. In the scheduling of electrical automation equipment, by incorporating the wear and tear reflected by the equipment's operating load and temperature into the scheduling process, along with external dynamic electricity prices, maintenance labor costs, and production task delivery requirements, equipment maintenance and production arrangements can be coordinated under the same management framework. When equipment has not yet reached the maintenance conditions, production tasks can be prioritized during periods with lower overall marginal cost rates. When equipment reaches the maintenance conditions, the flexible time margin of the tasks can be used to schedule maintenance work. This reduces the overlap between maintenance time and high-load, high-electricity-price production periods, thereby reducing the overall operating costs caused by energy, maintenance, and downtime while taking into account order delivery deadlines. It also avoids the problems of excessive computation and difficulty in timely generation of scheduling results when using high-dimensional continuous optimization models.

[0025] 2. By setting hysteresis intervals, sliding time windows, and minimum scheduling lockout times, the frequent adjustments to production queues caused by short-term fluctuations in equipment load or interference with data collection can be reduced. This makes maintenance dispatch instructions and equipment production scheduling instructions more stable. When encountering sudden emergency tasks, the system can also combine task benefits with the cumulative damage increment of equipment during short-term overload operation to determine whether to postpone maintenance. Within the scope of equipment safety, emergency tasks can be completed first. After the emergency task is completed, the maintenance priority of the equipment is increased. This can improve the responsiveness of emergency tasks and prevent scheduling management from only considering production benefits while ignoring equipment safety.

[0026] 3. When multiple identical electrical automation devices are running in parallel, by adjusting the wear weight factor using the health residual value difference score of each device, different devices can achieve higher maintenance priority at different times, reducing the situation where multiple devices enter maintenance at the same time. This can distribute the originally concentrated maintenance period to different time windows, meeting the maintenance needs of each device while preserving necessary production capacity, reducing the impact of concentrated shutdown of multiple devices on production line operation, and improving the coordination of maintenance scheduling for multiple devices. Attached Figure Description

[0027] Figure 1 This is a flowchart illustrating the discrete generation process of scheduling instructions in this invention.

[0028] Figure 2 This is a structural diagram of the multi-module collaborative scheduling system of the present invention.

[0029] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0030] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0031] A method for scheduling electrical automation equipment, applied in an electrical automation equipment operation and maintenance scheduling system, includes the following steps:

[0032] Step S1: Collect the effective value of the operating current, operating temperature and cumulative operating time of the electrical automation equipment during operation. Calculate the real-time wear cost rate of the electrical automation equipment by multiplying the square of the ratio of the effective value of the operating current to the rated current of the electrical automation equipment, and the exponential compensation term of the operating temperature and the reference temperature.

[0033] Step S2: Obtain the external dynamic electricity price, and calculate the comprehensive marginal cost rate of the electrical automation equipment to carry out the task at the current moment by combining the rated power and real-time wear and tear cost rate of the electrical automation equipment.

[0034] Step S3: Obtain the rated processing time, absolute deadline and unit delay penalty coefficient of each task in the queue to be scheduled. Subtract the current time and rated processing time from the absolute deadline to calculate the elastic time limit margin of each task. Based on the ratio of the unit delay penalty coefficient to the elastic time limit margin and the ratio of the cumulative wear of electrical automation equipment to the preset wear threshold, calculate the scheduling priority response factor of each task.

[0035] Step S4: Compare the scheduling priority response factor, cumulative wear amount, and preset wear threshold. When the cumulative wear amount reaches the preset wear threshold and there is a task with a flexible time limit margin greater than the preset maintenance duration, lock the task window with the largest flexible time limit margin, insert the maintenance period before the task starts, and generate a maintenance dispatch instruction. When the cumulative wear amount is lower than the preset wear threshold, sort the queue to be scheduled according to the comprehensive marginal cost rate and issue equipment production scheduling instructions.

[0036] Preferably, in step S3, the scheduling priority response factor is directly proportional to the unit delay penalty coefficient and inversely proportional to the elastic time limit margin, and it increases non-linearly as the ratio of accumulated wear to the preset wear threshold increases; when the accumulated wear approaches the preset wear threshold, the value of the scheduling priority response factor jumps accordingly, thereby increasing the response priority of the corresponding task in the queue to be scheduled.

[0037] Preferably, in step S2, the process of calculating the comprehensive marginal cost rate includes: multiplying the rated power of the electrical automation equipment by the external dynamic electricity price to obtain the real-time energy cost rate; and superimposing the real-time energy cost rate and the real-time wear cost rate in the same dimension over the time domain to generate the comprehensive marginal cost rate, which serves as a dynamic evaluation parameter for the normalized physical degradation state of the equipment and the time-varying energy cost.

[0038] Preferably, in step S4, the issuance process of maintenance dispatch instructions and equipment production scheduling instructions has a built-in hysteresis interval and sliding time window; when the scheduling priority response factor exceeds the preset threshold for three consecutive preset sampling periods, the scheduling queue reconstruction is triggered, and the current scheduling status is locked for a preset minimum locking time of not less than 1 hour.

[0039] Preferably, when an emergency task instruction is received, step S4 includes the following sub-steps: Step S41, extract the excess benefit coefficient of the emergency task, and dynamically raise the maintenance trigger threshold accordingly; Step S42, calculate the cumulative damage increment of the electrical automation equipment during the overload operation period based on the excess benefit coefficient; Step S43, compare the cumulative damage increment with the safety limit threshold, and when the cumulative damage increment does not exceed the safety limit threshold, temporarily suspend the issuance of maintenance dispatch instructions and prioritize the emergency task; Step S44, after the emergency task is completed, increase the pre-set wear weight factor to improve the maintenance priority of the electrical automation equipment.

[0040] Preferably, in the scenario of multiple electrical automation devices operating in parallel, step S3 includes the following sub-steps: Step S31, obtain the health residual value difference score of each electrical automation device; Step S32, according to the step distribution of the health residual value difference score, inject orthogonal fine-tuning amount into the wear weight factor of each electrical automation device, so that the scheduling priority response factor of each electrical automation device is discretized and misaligned; Step S33, according to the scheduling priority response factor that generates discretization and misalignment, spread the centrally generated maintenance period to different time windows, so as to realize the staggered and evenly distributed scheduling of maintenance time sequence of multiple devices.

[0041] Preferably, when the data acquisition of the effective value of the operating current and the operating temperature is missing, step S1 includes the following sub-steps: Step S11, start the degraded scheduling mode and stop calculating the real-time wear cost rate and scheduling priority response factor; Step S12, read the cumulative operating time of the electrical automation equipment and compare the cumulative operating time with the preset time ladder threshold; Step S13, when the cumulative operating time reaches the time ladder threshold, generate a conservative maintenance instruction and issue it.

[0042] Preferably, in step S4, when the accumulated wear amount is lower than the preset wear threshold, the process of sorting the queue to be scheduled according to the comprehensive marginal cost rate includes: extracting the current load demand of each task in the queue to be scheduled, and prioritizing matching and allocating high-load tasks with current load demand higher than the preset load threshold to the time period when the comprehensive marginal cost rate is in the preset low range for processing.

[0043] Preferably, in step S4, when the accumulated wear reaches the preset wear threshold, the process of locking the task window with the largest elastic time limit margin includes: filtering all tasks with an elastic time limit margin greater than the preset maintenance duration, obtaining the target task corresponding to the one with the largest elastic time limit margin value, preemptively inserting the maintenance period into the idle time period before the target task starts, and outputting a maintenance dispatch instruction containing the maintenance period and the target equipment identifier to the operation and maintenance management system.

[0044] An electrical automation equipment scheduling system, used to implement an electrical automation equipment scheduling method, includes:

[0045] The parameter acquisition and wear calculation module is used to collect the effective value of the operating current, the operating temperature and the cumulative operating time of the electrical automation equipment during operation. Based on the square of the ratio of the effective value of the operating current to the rated current of the electrical automation equipment, and the product of the exponential compensation term of the operating temperature and the reference temperature, the real-time wear cost rate of the electrical automation equipment is calculated.

[0046] The marginal cost accounting module is used to obtain the external dynamic electricity price and, combined with the rated power and real-time wear and tear cost rate of the electrical automation equipment, calculate the comprehensive marginal cost rate of the electrical automation equipment to carry out the task at the current moment.

[0047] The margin and response factor calculation module is used to obtain the rated processing time, absolute deadline and unit delay penalty coefficient of each task in the queue to be scheduled. By subtracting the current time and rated processing time from the absolute deadline, the elastic time limit margin of each task is calculated. Based on the ratio of the unit delay penalty coefficient to the elastic time limit margin and the ratio of the cumulative wear of electrical automation equipment to the preset wear threshold, the scheduling priority response factor of each task is calculated.

[0048] The discrete arbitration and instruction issuance module compares the scheduling priority response factor, cumulative wear amount, and preset wear threshold. When the cumulative wear amount reaches the preset wear threshold and there is a task with a flexible time limit margin greater than the preset maintenance duration, the task window with the largest flexible time limit margin is locked, the maintenance period is inserted before the task starts, and a maintenance dispatch instruction is generated. When the cumulative wear amount is lower than the preset wear threshold, the queue to be scheduled is sorted according to the comprehensive marginal cost rate and the equipment production scheduling instruction is issued.

[0049] Example 1: The current equipment operation and maintenance scheduling system is used for the scheduling and management of servo drive control units in industrial automated production lines. The system operates according to a preset sampling period. This embodiment will collect real-time characteristic parameters during the operation of the servo drive control unit. The time interval is set to 600 seconds, and the parameters collected include the effective value of the operating current. Operating temperature and cumulative running time To convert the electrical and thermal decay of the equipment into wear cost per unit time, the system calculates the real-time wear cost rate using the following formula: ,in, For the current moment Real-time wear and tear cost rate The depreciation cost per unit time is 12.5 yuan / hour in this embodiment; This is the effective value of the operating current. The rated current is 50A in this embodiment; Operating temperature For reference temperature, 40°C is used in this embodiment; The temperature sensitivity coefficient is set to 15°C in this embodiment. The system also reads the externally input dynamic electricity price table. And the hourly wage table for maintenance personnel, combined with the rated power of the servo drive control unit. The overall marginal cost rate is calculated using the following formula: ,in, The overall marginal cost rate for carrying out production tasks at the current moment. For the rated power, this embodiment uses 30kW; For external dynamic electricity prices, the physical degradation status of the equipment is considered during calculation. Converting to wear and tear cost per unit time, the product of rated power and external dynamic electricity price is converted to energy cost per unit time. After unifying these two values ​​to a time cost caliber of yuan / h, they are superimposed in the same time domain. The resulting... As a dynamic evaluation parameter for the physical degradation state of equipment and time-varying energy costs.

[0050] For production tasks in the queue to be scheduled The system extracts its rated processing time. Absolute delivery deadline and unit delay penalty coefficient And calculate the task according to the following formula. At the present moment Flexibility margin: ,in, Number the tasks in the queue to be scheduled; For the task At any moment The flexibility of the time limit, This is an absolute deadline for delivery. For the current moment, This is the rated processing time.

[0051] Within each sampling period, the system multiplies the real-time wear cost rate by the duration of that sampling period to obtain the value of a single wear loss within that period. Then, it continuously accumulates the value of a single wear loss for each sampling period since the equipment was last maintained and put back into operation to obtain the current cumulative wear amount. This cumulative wear represents the total value of accumulated physical losses incurred by the equipment under the combined effects of electrical and thermal stress. The system incorporates the current cumulative wear... and preset wear threshold The task is calculated according to the following formula. Scheduling priority response factor: ,in, For the task At any moment Scheduling priority response factor The unit delay penalty coefficient is converted according to the benchmark value before being included in the calculation, forming a dimensionless penalty weight per hour. For numerical correction terms, this embodiment uses 0.01h to avoid calculation divergence when the elastic time limit margin is close to zero; The wear weighting factor is initially set to 0.5 in this embodiment; This represents the current cumulative wear and tear. To preset the wear threshold, when and When the ratio increases and approaches 1, the system dynamically increases the wear weight factor based on this ratio. This causes the increase in the scheduling priority response factor to increase with the increase of this ratio, thus forming a nonlinear amplification.

[0052] When the effective value of the operating current or the operating temperature is missing, the system enters a degraded scheduling mode, stops calculating the real-time wear cost rate and scheduling priority response factor, and instead reads the cumulative running time. In this embodiment, based on the factory mean time between failures (MTBF) of the equipment hardware, the time tier threshold is set to three levels: 2000h, 4000h, and 6000h, to provide a progressive basis for maintenance judgment when current and temperature data are lacking.

[0053] After completing the above calculations, the system compares the scheduling priority response factors. Current cumulative wear and preset wear threshold ,when And there exists a queue of queues that satisfy the condition. When a task is assigned, the system selects the task window with the largest flexible time margin, inserts the maintenance schedule before the task starts, and generates a maintenance dispatch instruction; among which, To preset the maintenance duration, this embodiment uses 2 hours. At that time, the system is based on the comprehensive marginal cost rate. Sort the queue of tasks to be scheduled and allocate high-current load tasks to them. During the preset low-temperature period, equipment production scheduling instructions are issued.

[0054] During the instruction issuance process, the system sets a hysteresis interval and a sliding time window. When the scheduling priority response factor increases, the maintenance trigger threshold is used as the over-limit criterion; when its value decreases, the system only releases the over-limit state after it drops below the preset value of the maintenance trigger threshold. The sliding time window contains three consecutive sampling periods. The system will only reconstruct the scheduling queue when the sampling period exceeds the maintenance trigger threshold for three consecutive sampling periods. After reconstruction, the preset minimum locking time for the current scheduling status is no less than 1 hour to avoid frequent switching of scheduling instructions when the sampling values ​​fluctuate near the threshold.

[0055] Taking the calculation process of the servo drive control unit within a scheduling period as an example, the rated current... It is 50A, rated power For 30kW, the basic depreciation cost per unit time The price is 12.5 yuan / hour, based on the reference temperature. The temperature sensitivity coefficient is 40℃. The value is 15℃, and the numerical correction term is... The wear weighting factor is 0.01h. The value is 0.5, and the system uses a sampling period of 600 seconds. Obtain the effective value of the operating current 55A, operating temperature 55℃, external dynamic electricity price The price is 0.9 yuan / kWh, and the rated processing time for task A to be scheduled is... 3 hours, remaining absolute delivery time The delay penalty coefficient is 5 hours. The value is 100, representing the ratio of the current accumulated wear to the preset wear threshold. It is 0.85.

[0056] The result of the calculation of the square term of the current ratio is: The calculation result of the temperature index compensation term is as follows: Substituting into the real-time wear cost rate formula, we get: Substituting this into the comprehensive marginal cost rate formula, we get: The time margin for task A is: The wear modulation gain term is: .

[0057] Therefore, the scheduling priority response factor for task A is obtained: The samples obtained in this sampling The value was 70.90, exceeding the maintenance trigger threshold of 50. The system recorded this sampling as an out-of-limit state and continued to judge within the sliding time window. Since only one sampling period's out-of-limit result was obtained, the queue reconstruction condition for three consecutive sampling periods of out-of-limit occurrences has not yet been met. Meanwhile... It is 0.85, that is Furthermore, the flexible time margin for task A is 2 hours, which does not meet the requirements. Given the conditions, no maintenance period is inserted, and no maintenance dispatch instruction is generated. The system arranges task A in a period when the comprehensive marginal cost rate is in the preset low range according to the sorting results of the comprehensive marginal cost rate, and issues equipment production scheduling instructions.

[0058] The above scheduling process converts equipment thermal attenuation, dynamic electricity prices, and production task delivery constraints into directly comparable cost rates, flexible time margins, and scheduling priority response factors. The system generates production scheduling instructions or maintenance dispatch instructions based on threshold comparisons and discrete sorting results, reducing the computational delay caused by continuous high-dimensional optimization and ensuring that high-current load tasks avoid periods with high comprehensive marginal cost rates, thereby reducing energy costs, wear costs, and downtime losses during equipment operation.

[0059] Example 2: The current industrial automation production line servo drive control unit test platform includes multiple rated power units. 30kW, rated current The test platform uses a 50A servo drive control unit, configured with a programmable logic controller and a real-time data acquisition card, and operates on a sampling period of 600 seconds. To simulate electromagnetic interference in an industrial setting, the sampling channel is superimposed with Gaussian white noise with a signal-to-noise ratio of 20dB and 50Hz power frequency harmonic interference to ensure the effective value of the operating current. and operating temperature This will cause corresponding fluctuations.

[0060] The test setup included an experimental group and three control groups. The experimental group was based on the real-time wear cost rate. Overall marginal cost rate Flexible time limit margin and scheduling priority response factor Production and maintenance scheduling were implemented; Control Group 1 adopted a fixed-cycle 500-hour periodic preventative maintenance mode; Control Group 2 adopted a fixed-threshold status maintenance mode, without adjusting the production sequence according to the flexible time margin of the task; Control Group 3 did not include the real-time wear and tear cost rate, but only based on the external dynamic electricity price. Arrange production tasks.

[0061] During a continuous 720-hour dynamic load test, the system collected the RMS value of the operating current, operating temperature, and external dynamic electricity price, and calculated the ratio of the current cumulative wear amount to the preset wear threshold at each sampling time. Calculate the real-time wear and tear cost rate, comprehensive marginal cost rate, and scheduling priority response factor. The comprehensive operation and maintenance cost rate of the test group is recorded according to the calculation result of the comprehensive marginal cost rate. The following test data are based on... The explanation will proceed from low to high.

[0062] In operating condition 1, It is 35A. It is 38℃. It costs 0.4 yuan / kWh. The value is 0.25, calculated by the system. It is 5.36 yuan / h. It is 17.36 yuan / h The cost was 9.36; under the same operating conditions, the maintenance cost rate of control group 1 was 28.50 yuan / h, and the overall maintenance cost rate of the test group was 17.36 yuan / h.

[0063] In operating condition 2, Increased to 45A, It is 42℃. It costs 0.6 yuan / kWh. It is 0.40, calculated as follows: It costs 11.57 yuan / hour. It costs 29.57 yuan / hour. The overall maintenance cost rate of the experimental group was 23.94 yuan / h; the maintenance cost rate of the control group was 38.20 yuan / h, and the overall maintenance cost rate of the experimental group was 29.57 yuan / h.

[0064] In operating condition 3, It is 50A. It is 40℃. It costs 0.9 yuan / kWh. The value is 0.60, calculated by the system. It is 12.50 yuan / h The price is 39.50 yuan / hour. The overall maintenance cost rate was 43.19 yuan / h for the control group and 45.00 yuan / h for the experimental group.

[0065] In operating condition 4, It is 52A. It is 48℃. It costs 1.2 yuan / kWh. The value is 0.75. After the effective value of the operating current and the operating temperature increase, Increased to 23.05 yuan / h; after adding energy costs, It costs 59.05 yuan / hour. The overall maintenance cost rate of the experimental group was 54.78 yuan / h, while that of the control group was 68.40 yuan / h and that of the experimental group was 59.05 yuan / h.

[0066] In operating condition 5, It is 55A. It is 55℃. It costs 0.9 yuan / kWh. The value is 0.85, calculated by the system. The price is 41.12 yuan / h. The price is 68.12 yuan / h. The overall maintenance cost rate of the experimental group was 70.90 yuan / h; the maintenance cost rate of the control group was 72.80 yuan / h, and the overall maintenance cost rate of the experimental group was 68.12 yuan / h. Compared with the operating condition 4, the external dynamic electricity price decreased, but the effective value of the operating current, the operating temperature, and the ratio of the current cumulative wear to the preset wear threshold all increased, and the real-time wear cost rate and the scheduling priority response factor increased accordingly.

[0067] In operating condition 6, It is 58A. It is 62℃. It costs 1.3 yuan / kWh. The value is 0.92, which is obtained by the system. It is 72.92 yuan / hour. It is 111.92 yuan / hour. The overall maintenance cost rate was 116.03 yuan / h for the control group and 125.60 yuan / h for the experimental group.

[0068] In operating condition 7, It is 40A. It is 45℃. It costs 0.5 yuan / kWh. The value is 0.95, because the current load and operating temperature are lower than operating condition 6. Reduced to 11.16 yuan / h The cost is 26.16 yuan / hour; the current cumulative wear is approaching the preset wear threshold. The overall maintenance cost rate of the experimental group was 26.16 yuan / h, while the control group's maintenance cost rate was 35.20 yuan / h. This indicates that the scheduling priority response factor not only changes with the current load but is also affected by the cumulative wear and tear of the equipment.

[0069] In operating condition 8, It is 60A. It is 68℃. It costs 1.1 yuan / kWh. The value is 0.98. After the combined effect of current stress and temperature compensation, It is 116.41 yuan / hour. It is 149.41 yuan / hour. The overall maintenance cost rate of the experimental group was 221.28 yuan / h; the maintenance cost rate of the control group was 162.00 yuan / h, and the overall maintenance cost rate of the experimental group was 149.41 yuan / h. During the change from operating condition 3 to operating condition 8, the effective value of the operating current, the operating temperature, and the ratio of the current cumulative wear amount to the preset wear threshold generally increased, and the real-time wear cost rate and the scheduling priority response factor increased nonlinearly.

[0070] In operating condition 9, It is 48A. It is 41℃. It costs 0.8 yuan / kWh. The value is 0.50, which is the value obtained by the system. It costs 12.31 yuan / hour. It costs 36.31 yuan / hour. The operating cost rate of the control group was 14.98; the operating cost rate of the control group was 42.10 yuan / h, and the comprehensive operating cost rate of the test group was 36.31 yuan / h. The effective value of the operating current in this condition was higher than that in condition 2, but the operating temperature and the ratio of the current cumulative wear to the preset wear threshold were both relatively low. Therefore, the scheduling priority response factor was lower than that in condition 2.

[0071] In this embodiment, the maintenance trigger threshold is set to 50.00. The scheduling priority response factors obtained for conditions 4, 5, 6, 7, and 8 all exceed this threshold. The system records the corresponding sampling results as an out-of-limit state and searches the scheduling queue for conditions that meet the threshold. The low electricity price candidate window, due to the above operating conditions If all values ​​are less than 1, the current cumulative wear amount has not yet reached the preset wear threshold. The system does not directly issue maintenance dispatch instructions, but continues to issue equipment production scheduling instructions based on the comprehensive marginal cost rate. The retrieved candidate windows are reserved as alternative time periods for subsequent preemptive insertion of maintenance periods. When the current cumulative wear amount reaches the preset wear threshold, and there are tasks in the scheduling queue with a flexible time limit margin greater than the preset maintenance duration, the system locks the task window with the largest flexible time limit margin, inserts the maintenance period before the start of the task, and issues maintenance dispatch instructions.

[0072] In the noise interference test, Gaussian white noise in the sampled signal caused the original calculation result of the real-time wear cost rate to fluctuate by ±8.5%. The system judges the scheduling priority response factor through a sliding time window containing three consecutive sampling periods, and controls the entry and release of the over-limit state in conjunction with the hysteresis interval control. When a single sampling period exceeds the maintenance trigger threshold, the system maintains the current schedule; only when the scheduling priority response factor exceeds the maintenance trigger threshold for three consecutive sampling periods will the scheduling queue be reconstructed. After the schedule is reconstructed, the current schedule status is locked for no less than 1 hour, thereby reducing the repeated switching of scheduling instructions caused by high-frequency noise.

[0073] Using the same statistical caliber, all sampling results within a continuous 720 hours were calculated. The average comprehensive operation and maintenance cost rate of the experimental group was 59.16 yuan / h, while the average operation and maintenance cost rate of control group 1 was 68.64 yuan / h, representing a 13.8% reduction in the experimental group compared to control group 1. The average operation and maintenance cost rate of control group 2 was 65.20 yuan / h, with the experimental group showing a 9.3% reduction compared to control group 2. When the value reaches 0.95, the system has identified low electricity price candidate windows based on the comprehensive marginal cost rate. After the current cumulative wear reaches the preset wear threshold, the window that meets the elastic time limit margin condition will be used to insert the maintenance period, so that the production task scheduling and maintenance arrangement are executed according to the same set of cost and wear status data.

[0074] Example 3: Effective value of operating current of the current servo drive control unit during high-frequency load fluctuations. It is susceptible to transient changes due to sampling noise, which in turn affects the scheduling priority response factor. Fluctuations near the maintenance trigger threshold are handled by the scheduling system with a sampling period of 600 seconds. Continuous extraction of tasks to be scheduled The scheduling priority response factor is then correlated with the maintenance trigger threshold. For comparison, within a single sampling period, if Transient jumps make cross The system will maintain the current equipment production scheduling instructions; only Three consecutive sampling periods exceeding The scheduling queue is reconstructed only when the rate of change between adjacent sampling periods exceeds the preset filtering threshold. After reconstruction, the system locks the current scheduling status for no less than 1 hour and does not modify the issued equipment production scheduling instructions and maintenance dispatch instructions during the locking time.

[0075] Upon receiving an emergency task instruction, the system determines the excess revenue coefficient based on the expected increase in revenue of the emergency task relative to the currently scheduled tasks. The maintenance trigger threshold will be updated according to the following formula: ,in, The updated maintenance trigger threshold, The maintenance trigger threshold before the update. The adjustment coefficient is set to 0.2 in this embodiment. To limit the increase in the maintenance trigger threshold, the system will... The upper limit is set to 1.5 times; if the calculation result exceeds this upper limit, the updated maintenance trigger threshold will be determined according to this upper limit and will not be raised further.

[0076] After updating the maintenance trigger threshold, the system calculates the cumulative damage increment of the servo drive control unit during the allowable overload operation period. During the calculation, the actual operating current and operating temperature during overload operation are continuously collected. Based on the proportion of the actual operating current exceeding the rated current, the duration of the overload, and the operating temperature, the additional heat loss generated during that period is obtained and accumulated in chronological order to form the result. The preset safety limit threshold is determined based on the equipment's factory insulation breakdown withstand limit and maximum allowable junction temperature margin. In this embodiment, it is set as the preset wear threshold. 15%.

[0077] when When the preset safety limit threshold is not exceeded, the system temporarily suspends the issuance of maintenance dispatch instructions and prioritizes assigning emergency tasks to the corresponding servo drive control unit. After the emergency task is completed, the wear weight factor of the equipment is increased. Recalculate the scheduling priority response factor for the corresponding task; when the recalculation result exceeds... At that time, select elastic time limit margins from the queue to be scheduled. Greater than the preset maintenance time For each task, lock the task window with the largest flexible time limit, insert the maintenance schedule before the task starts, and issue a maintenance dispatch instruction.

[0078] For a production line with multiple servo drive control units operating in parallel, the system obtains the health residual value difference score for each device. ,in, This indicates the equipment number. When calculating this score, the cumulative operating time of each piece of equipment is first calculated based on the historical operating data of similar equipment. Historical average operating temperature and current cumulative wear After normalization, the data is weighted and summed according to the weights specified by the historical operating status to obtain a percentage score; the higher the score, the better the remaining health status of the equipment.

[0079] The system follows The system divides the equipment into tiers from high to low, and injects orthogonal fine-tuning amounts into the corresponding wear weight factors according to the tier and sorting position of each device. Each orthogonal fine-tuning amount acts on the corresponding device independently and without repetition. In this embodiment, a discrete bias with alternating positive and negative values ​​and increasing amplitude is adopted, with the bias amplitude ranging from 2% to 8%, so that the wear weight factors of multiple devices form non-overlapping gradient differences. The system uses the fine-tuned wear weight factors to calculate the scheduling priority response factors of each device for the scheduled tasks, causing the originally similar calculation results to be discretized and misaligned. Then, according to the order of each response factor, the maintenance period is allocated to the flexible time limit margin windows of different tasks to avoid multiple devices entering the maintenance state at the same time and to maintain the minimum available capacity of the production line.

[0080] RMS value of operating current or operating temperature When data collection is missing, the system initiates a degraded scheduling mode and stops calculating the real-time wear and tear cost rate. and scheduling priority response factor Instead, read the cumulative running time of the servo drive control unit. ,when When the corresponding time threshold is reached, the system generates a conservative maintenance instruction and sends the instruction to the operation and maintenance terminal.

[0081] Example 4: This example combines Figures 1 to 2 The document describes the scheduling methods and systems for electrical automation equipment, such as... Figure 1 As shown, in step S1, the effective value of the current, operating temperature, and cumulative operating time of the equipment during operation are collected. The real-time wear cost rate is calculated by multiplying the square of the current ratio with the temperature index compensation term. Then, in step S2, the external dynamic electricity price is obtained. The comprehensive marginal cost rate of the equipment for carrying out tasks at the current moment is calculated by combining the rated power of the equipment with the real-time wear cost rate. Next, in step S3, the processing time, delivery time, and penalty coefficient of each task are obtained to calculate the elastic time limit margin. The scheduling priority response factor is calculated based on the ratio of penalty coefficient to margin and the ratio of cumulative wear amount to threshold. Finally, in step S4, the response factor, cumulative wear amount, and preset threshold are compared. When the threshold is reached and there is a margin, the window is locked and a maintenance dispatch instruction is generated. When the threshold is not reached, a production scheduling instruction is issued based on the comprehensive marginal cost rate.

[0082] like Figure 2As shown, the parameter acquisition and wear calculation are combined with the effective value of the operating current and the operating temperature to calculate the real-time wear cost rate. The marginal cost accounting is based on the rated power and the external dynamic electricity price to calculate the comprehensive marginal cost rate. The margin and response factor calculation is based on the absolute deadline to calculate the elastic time limit margin and further calculate the scheduling priority response factor. Discrete arbitration and instruction issuance are based on the cumulative wear amount to selectively issue equipment production scheduling instructions or maintenance dispatch instructions. All parts work together to realize the scheduling of electrical automation equipment.

[0083] Example 5: Before the servo drive control unit is connected to the scheduling system, a pre-deployment offline calibration is performed. The system is at rated current. Under a 50A condition, the equipment was controlled to run unloaded for 2 hours and under full load for 2 hours respectively. Power frequency electrothermal response curves were collected using a power analyzer and thermal imaging sensor. Based on the equipment's performance at a reference temperature... The depreciation value of hardware per unit time at 40℃ is the basic depreciation cost per unit time. The calibration was set at 12.5 yuan / hour. Subsequently, thermal stress tests were conducted in 5-degree increments within a temperature range of 40℃ to 70℃, based on the operating temperature. The insulation resistance attenuation rate during the increase is fitted with an exponential compensation curve, and the temperature sensitivity coefficient is obtained from the fitting slope. The value is 15℃. The system also calculates the preset wear threshold based on the factory insulation breakdown tolerance limit and rated Joule heat accumulation of the servo drive control unit. Then, the initial state parameter table containing the above parameters is written into the storage unit of the scheduling system.

[0084] After the equipment is put into operation, each time the cumulative running time Once a preset maintenance cycle of 1000 hours is reached, the scheduling system initiates online baseline reconstruction during the equipment's idle window, sending a micro-pulse excitation signal to the servo drive control unit and simultaneously acquiring the effective value of the transient operating current. The system responds and calculates the actual impedance drift. The micro-amplitude pulse excitation signal is used to measure the static contact resistance and alternating impedance changes of the power circuit and electromagnetic coil inside the equipment. When the equipment is in a high-load operation state for a long time, the junction temperature cycle of the power device and the thermal oxidation of the contact surface will cause the static circuit impedance to drift irreversibly. The amount of impedance drift is proportional to the dynamic Joule heat additional loss generated by the equipment under high current and high load conditions. Therefore, the system uses the micro-amplitude pulse impedance measurement results obtained in the idle state of the equipment to estimate the dynamic electrothermal loss increment of the equipment under actual high load operation conditions.

[0085] When the increase in Joule heat loss caused by impedance drift exceeds 5%, the system adjusts the basic depreciation cost per unit time upwards according to the impedance drift ratio. And adjust the preset wear threshold according to the component aging degradation function. This makes the scheduling priority response factor The calculation benchmark is updated as the actual hardware degradation status of the equipment is updated. The reconstructed parameters cover the historical benchmark values ​​in the database. During the subsequent operation of the equipment, the scheduling system issues equipment production scheduling instructions and maintenance dispatch instructions based on the updated parameters.

[0086] Example 6: Before the servo drive control unit is put into operation on the production line, the scheduling system first performs initial parameter calibration, and the control platform operates at rated current. 50A, rated power Under a 30kW load condition, a stepped load current of 20A to 55A was applied to the equipment, and thermal response data was collected within an ambient temperature range of 30℃ to 65℃. The data was then compared to the equipment's performance at a reference temperature. The depreciation calculation result at 40℃ is the basic depreciation cost per unit time. Set at 12.5 yuan / hour; then adjust according to different operating temperatures. By fitting the insulation impedance change rate to the temperature compensation relationship, the temperature sensitivity coefficient is obtained. The temperature is set at 15℃, and the real-time wear cost rate is calculated accordingly. .

[0087] The system reads external dynamic electricity prices. Combined with rated power and real-time wear and tear cost rate Calculate the overall marginal cost rate To determine the discrete decision boundaries used during scheduling, the system extracts the rated processing time for each task from the queue to be scheduled. Absolute delivery deadline and unit delay penalty coefficient Calculate the elastic time margin During the calibration process where the elastic time margin changes from 0.5h to 4.0h, the numerical correction term... Take 0.01h, wear weighting factor We set it to 0.5 and calculate the scheduling priority response factor accordingly. .

[0088] This embodiment will preset the maintenance duration. Set to 2 hours, the system filters tasks with a flexible time margin greater than 2 hours. Only when this margin can fully cover the 2-hour maintenance period will the corresponding task window be listed as a candidate window for insertion into the maintenance period. When the flexible time margin is close to the 2-hour boundary, the scheduling priority response factor increases as the denominator decreases, thus increasing the response priority of tasks with near-delivery dates in the scheduling queue, and raising the maintenance trigger threshold. Set to 50.00; when the current cumulative wear is... Reaching the preset wear threshold And there are in the queue to be scheduled When a task is assigned, the system selects the task window with the largest flexible time margin from all candidate windows, inserts the 2-hour maintenance period before the task starts, and issues a maintenance dispatch instruction.

[0089] During continuous operation of the servo drive control unit, the scheduling system operates according to a sampling period of 600 seconds. Collect operational data, including the effective value of the collected operating current. When high-frequency interference with an amplitude of ±8.5% is present, the system employs a sliding time window comprising three consecutive sampling periods, combined with hysteresis intervals to handle fluctuations in the scheduling priority response factor. The filtering threshold for the rate of change of the scheduling priority response factor between two adjacent sampling periods is set to 15%. If a single rate of change does not exceed 15%, the system treats the change as fluctuation caused by high-frequency electromagnetic noise and does not update the scheduling status. The scheduling queue is reconstructed only when the value exceeds the maintenance trigger threshold of 50.00 for three consecutive sampling periods, and the reconstructed scheduling status is locked for no less than 1 hour.

[0090] Upon receiving an emergency task instruction, the system extracts the excess reward coefficient for the emergency task. According to the adjustment coefficient The maintenance trigger threshold is updated to 0.2, and the cumulative damage increment during the allowable overload operation period is calculated. ,when If the preset safety limit threshold is not exceeded, the issuance of maintenance dispatch instructions will be temporarily suspended, and emergency tasks will be prioritized; after the emergency tasks are completed, the wear weight factor will be increased. The system recalculates the scheduling priority response factor. When the recalculated result exceeds the updated maintenance trigger threshold, the system selects the task window with the largest margin from the tasks with a flexible time limit margin greater than the preset maintenance duration, inserts the maintenance period, and issues a maintenance dispatch instruction.

[0091] For multiple servo drive control units operating in parallel, the system obtains the health residual value difference score for each device. Orthogonal fine-tuning amounts are injected into the wear weighting factors of each device according to the step distribution of scores. This forms the fine-tuned wear weighting factor. The system calculates the scheduling priority response factor for each device and its corresponding scheduled task, causing the response factors of each device to be discretized and misaligned. Then, the maintenance period is arranged into the flexible time limit margin window of different tasks according to the order of response, so as to distribute the maintenance time of multiple devices.

[0092] When the effective value of the operating current or operating temperature When signal acquisition is interrupted, the system initiates a degraded scheduling mode, ceasing to calculate real-time wear cost rate and scheduling priority response factor, and instead reading cumulative runtime. When the accumulated running time reaches the corresponding time tier threshold, the system generates a conservative maintenance instruction and sends it to the operation and maintenance terminal.

[0093] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0094] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for scheduling electrical automation equipment, characterized in that, Includes the following steps: Step S1: Collect the effective value of the operating current, operating temperature and cumulative operating time of the electrical automation equipment during operation. Calculate the real-time wear cost rate of the electrical automation equipment by multiplying the square of the ratio of the effective value of the operating current to the rated current of the electrical automation equipment, and the exponential compensation term of the operating temperature and the reference temperature. Step S2: Obtain the external dynamic electricity price, and calculate the comprehensive marginal cost rate of the electrical automation equipment to carry out the task at the current moment by combining the rated power and real-time wear and tear cost rate of the electrical automation equipment. Step S3: Obtain the rated processing time, absolute deadline and unit delay penalty coefficient of each task in the queue to be scheduled. Subtract the current time and rated processing time from the absolute deadline to calculate the elastic time limit margin of each task. Based on the ratio of the unit delay penalty coefficient to the elastic time limit margin and the ratio of the cumulative wear of electrical automation equipment to the preset wear threshold, calculate the scheduling priority response factor of each task. Step S4: Compare the scheduling priority response factor, cumulative wear amount, and preset wear threshold. When the cumulative wear amount reaches the preset wear threshold and there is a task with a flexible time limit margin greater than the preset maintenance duration, lock the task window with the largest flexible time limit margin, insert the maintenance period before the task starts, and generate a maintenance dispatch instruction. When the cumulative wear amount is lower than the preset wear threshold, sort the queue to be scheduled according to the comprehensive marginal cost rate and issue equipment production scheduling instructions.

2. The electrical automation equipment scheduling method according to claim 1, characterized in that, In step S3, the scheduling priority response factor is directly proportional to the unit delay penalty coefficient and inversely proportional to the elastic time limit margin. It also increases non-linearly as the ratio of accumulated wear to the preset wear threshold increases. When the accumulated wear approaches the preset wear threshold, the value of the scheduling priority response factor jumps, thereby increasing the response priority of the corresponding task in the queue to be scheduled.

3. The electrical automation equipment scheduling method according to claim 1, characterized in that, In step S2, the process of calculating the comprehensive marginal cost rate includes: multiplying the rated power of the electrical automation equipment with the external dynamic electricity price to obtain the real-time energy cost rate; superimposing the real-time energy cost rate and the real-time wear cost rate in the same dimension in the time domain to generate the comprehensive marginal cost rate, which serves as a dynamic evaluation parameter for the normalized physical degradation state of the equipment and the time-varying energy cost.

4. The electrical automation equipment scheduling method according to claim 1, characterized in that, In step S4, the issuance process of maintenance dispatch instructions and equipment production scheduling instructions includes a built-in lag interval and sliding time window. When the scheduling priority response factor exceeds the preset threshold for three consecutive preset sampling periods, the scheduling queue reconstruction is triggered, and the current scheduling status is locked for a preset minimum locking time of not less than 1 hour.

5. The electrical automation equipment scheduling method according to claim 1, characterized in that, When a sudden emergency task instruction is received, step S4 includes the following sub-steps: Step S41, extract the excess benefit coefficient of the emergency task, and dynamically raise the maintenance trigger threshold accordingly; Step S42, calculate the cumulative damage increment of electrical automation equipment during the overload operation period based on the excess benefit coefficient. Step S43: Compare the cumulative damage increment with the safety limit threshold. If the cumulative damage increment does not exceed the safety limit threshold, temporarily suspend the issuance of maintenance dispatch instructions and prioritize emergency tasks. Step S44: After the emergency task is completed, increase the pre-set wear weight factor to improve the maintenance priority of electrical automation equipment.

6. The electrical automation equipment scheduling method according to claim 1, characterized in that, In a scenario where multiple electrical automation devices operate in parallel, step S3 includes the following sub-steps: Step S31, obtain the health residual value difference score of each electrical automation device; Step S32, based on the step distribution of the health residual value difference score, inject orthogonal fine-tuning amount into the wear weight factor of each electrical automation device to cause the scheduling priority response factor of each electrical automation device to be discretized and misaligned; Step S33, based on the scheduling priority response factor that has generated discretization and misalignment, spread the centrally generated maintenance period to different time windows to achieve staggered and evenly distributed scheduling of maintenance time for multiple devices.

7. The electrical automation equipment scheduling method according to claim 1, characterized in that, When the data acquisition of the effective value of the operating current and the operating temperature is missing, the following sub-steps are included for step S1: Step S11, start the degraded scheduling mode and stop calculating the real-time wear cost rate and scheduling priority response factor; Step S12, read the cumulative running time of the electrical automation equipment and compare the cumulative running time with the preset time ladder threshold; Step S13, when the cumulative running time reaches the time ladder threshold, generate a conservative maintenance instruction and issue it.

8. The electrical automation equipment scheduling method according to claim 1, characterized in that, In step S4, when the accumulated wear amount is lower than the preset wear threshold, the process of sorting the queue to be scheduled according to the comprehensive marginal cost rate includes: extracting the current load demand of each task in the queue to be scheduled, and prioritizing matching and allocating high-load tasks with current load demand higher than the preset load threshold to the time period when the comprehensive marginal cost rate is in the preset low range for processing.

9. The electrical automation equipment scheduling method according to claim 1, characterized in that, In step S4, when the accumulated wear reaches the preset wear threshold, the process of locking the task window with the largest elastic time limit margin includes: filtering all tasks with an elastic time limit margin greater than the preset maintenance duration, obtaining the target task corresponding to the one with the largest elastic time limit margin value, preemptively inserting the maintenance period into the idle time period before the target task starts, and outputting a maintenance dispatch instruction containing the maintenance period and the target equipment identifier to the operation and maintenance management system.

10. An electrical automation equipment scheduling system, used to implement the electrical automation equipment scheduling method of claim 1, characterized in that, include: The parameter acquisition and wear calculation module is used to collect the effective value of the operating current, the operating temperature and the cumulative operating time of the electrical automation equipment during operation. Based on the square of the ratio of the effective value of the operating current to the rated current of the electrical automation equipment, and the product of the exponential compensation term of the operating temperature and the reference temperature, the real-time wear cost rate of the electrical automation equipment is calculated. The marginal cost accounting module is used to obtain the external dynamic electricity price and, combined with the rated power and real-time wear and tear cost rate of the electrical automation equipment, calculate the comprehensive marginal cost rate of the electrical automation equipment to carry out the task at the current moment. The margin and response factor calculation module is used to obtain the rated processing time, absolute deadline and unit delay penalty coefficient of each task in the queue to be scheduled. By subtracting the current time and rated processing time from the absolute deadline, the elastic time limit margin of each task is calculated. Based on the ratio of the unit delay penalty coefficient to the elastic time limit margin and the ratio of the cumulative wear of electrical automation equipment to the preset wear threshold, the scheduling priority response factor of each task is calculated. The discrete arbitration and instruction issuance module compares the scheduling priority response factor, cumulative wear amount, and preset wear threshold. When the cumulative wear amount reaches the preset wear threshold and there is a task with a flexible time limit margin greater than the preset maintenance duration, the task window with the largest flexible time limit margin is locked, the maintenance period is inserted before the task starts, and a maintenance dispatch instruction is generated. When the cumulative wear amount is lower than the preset wear threshold, the queue to be scheduled is sorted according to the comprehensive marginal cost rate and the equipment production scheduling instruction is issued.

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