Safe start-stop control method and system for winch

Abstract

The invention relates to the technical field of safety control, in particular to a winch safety start-stop control method and system, and the method comprises the steps: investigating the load characteristics and operation environment of a winch, analyzing the start-stop demands under different working conditions, formulating a preliminary start-stop mode according to the environment temperature, humidity and load size, and generating a start-stop mode decision guide. According to the method, the energy consumption and operation efficiency of equipment can be remarkably influenced by adjusting the starting and stopping speed curves of the winch, particularly, the effects in the aspects of energy consumption optimization and waiting time reduction are prominent, the fine adjustment optimizes the operation state of the equipment according to the actual load and environmental conditions, mechanical abrasion and energy waste in the starting and stopping process are reduced, and the energy consumption is reduced. According to the real-time load matching scheme, the deviation between the real-time load and the preset load is monitored, and load evaluation and start-stop strategy immediate adjustment are performed when the deviation exceeds the standard, so that the safety, efficiency and adaptability of the equipment are enhanced, and the safety risk caused by load change is reduced.

Description

Technical Field

[0001] The present invention relates to the field of safety control technology, and in particular to a winch safety start and stop control method and system. Background Art

[0002] The field of safety control technology focuses on the development and application of technical means to ensure the safety of mechanical equipment during operation. In the field of safety control technology, the focus is on preventing accidents, reducing operational risks, and protecting the safety of equipment and operators through advanced control strategies and systems. The technical field covers a wide range of application scenarios, including manufacturing, construction, transportation, etc., among which the safe start and stop control of mechanical equipment is a core issue. Safety control technology includes not only hardware safety design, such as emergency stop buttons, limit switches, etc., but also algorithm design at the software level, such as sensor-based real-time monitoring systems and automatic fault diagnosis systems.

[0003] Among them, the winch safe start and stop control method refers to a set of control strategies designed specifically for winches, aiming to ensure the safety of winches during start and stop operations. The purpose of this method is to minimize the risk of accidents caused by improper operation, equipment failure or external environmental factors, thereby ensuring the safety of operators and the integrity of equipment. By implementing this control method, the goal is to achieve trouble-free operation, extend the life of equipment, and ensure a safe and stable working environment. This method attempts to avoid load swings caused by sudden start and stop, and reduce mechanical wear and operating risks by accurately controlling the start acceleration, deceleration and stop position of the winch.

[0004] Traditional winch safety start and stop control methods mainly focus on hardware safety design and basic software control strategies, and have certain limitations when dealing with complex and changing operating environments and load conditions. In particular, when the impact of environmental factors and dynamic changes in load on equipment start and stop is not fully considered, it is easy to cause problems such as excessive wear of equipment, excessive energy consumption, and long waiting time for operation. Traditional methods lack sufficient flexibility and immediate response capabilities when dealing with emergencies such as sudden load increases or equipment failures, which not only increases the risk of accidents, but also causes damage to equipment and reduced production efficiency. Failure to adjust the start and stop speed curve according to differentiated working conditions will cause the equipment to generate excessive impact when starting or stopping, causing damage to the equipment structure or safety accidents for operators. Summary of the invention

[0005] This application provides a winch safety start and stop control method and system, which solves the problem that the traditional winch safety start and stop control method mainly focuses on the hardware safety design and basic software control strategy, and has certain limitations when dealing with complex and changing operating environments and load conditions. In particular, when the impact of environmental factors and dynamic changes in load on the start and stop of equipment is not fully considered, it is easy to cause problems such as excessive wear of equipment, excessive energy consumption, and long waiting time for operation. Traditional methods lack sufficient flexibility and immediate response capabilities when dealing with emergencies such as sudden load increases or equipment failures, which not only increases the risk of accidents, but also causes damage to equipment and reduced production efficiency. Failure to adjust the start and stop speed curve according to differentiated working conditions will cause the equipment to generate excessive impact when starting or stopping, causing equipment structure damage or operator safety accidents.

[0006] In view of the above problems, the present application provides a winch safe start and stop control method and system.

[0007] The present application provides a winch safety start and stop control method, wherein the method comprises the following steps: S1: Investigate the load characteristics and operating environment of the winch, analyze the start-stop requirements under different working conditions, formulate a preliminary start-stop mode based on ambient temperature, humidity and load size, and generate a start-stop mode decision guide; S2: According to the start-stop mode decision guide, the preparation time before the winch starts and the cooling time after the winch stops are adjusted, and the start-stop speed curve is set to obtain a scheduling optimization strategy; S3: Based on the scheduling optimization strategy, fine-tune the strategy to deal with emergencies such as increased load and equipment failure, set strategy adjustment thresholds and response mechanisms, and generate an emergency response process; S4: According to the emergency response process, monitor the deviation between the real-time load and the preset load, trigger the load evaluation mechanism when it exceeds the preset range, adjust the start-stop strategy, and obtain the real-time load matching solution; S5: executing the real-time load matching scheme, collecting the motor current and rope tension monitoring data during the start-stop process, evaluating the operation safety boundary based on the real-time data, and establishing an operation safety margin framework; S6: Using the operational safety margin framework, integrate operator feedback, analyze operational usability and safety feedback, adjust the human-machine interface design, and build a user feedback optimization plan.

[0008] Preferably, the start-stop mode decision guide includes the start delay setting under differentiated temperature and humidity, the speed adjustment strategy affected by the load size, and the operation sequence of the target working condition application; the scheduling optimization strategy includes reducing the waiting time before starting, adjusting the cooling period after stopping, setting the start and stop speed optimization curve, and the conflict avoidance measures of the start-stop sequence; the emergency response process includes the response mechanism of sudden load increase, the operation adjustment threshold during equipment failure, the start-stop strategy fine-tuning method in emergency situation and the dynamic update process of the response plan; the real-time load matching scheme includes the real-time identification mechanism of the deviation between load monitoring and the preset value, the immediate start-stop adjustment measures according to the deviation size, and the continuous evaluation method of operation efficiency and safety; the operation safety margin framework includes the collection of real-time monitoring data of current and tension, the safety margin calculation formula based on the monitoring results and the operation adjustment plan when the margin is insufficient; the user feedback optimization plan includes the classification and summary of operator feedback, the evaluation results of interface usability and safety, the improvement measures of the human-computer interaction interface and the update plan of the operation guide.

[0009] Preferably, according to the start-stop mode decision guide, the preparation time before the winch starts and the cooling time after the winch stops are adjusted, and the start-stop speed curve is set to obtain the specific steps of the scheduling optimization strategy as follows: S201: Based on the start-stop mode decision guide, a linear regression algorithm is applied to examine the influence of the current ambient temperature and load size on the performance of the winch. If the analysis results show that there is an influence, corresponding adjustments are made. By recording the pre-start preparation time and the post-stop cooling time under differentiated environments, adjustments are made item by item to match the optimal performance requirements under differentiated environmental conditions, and a start-stop time adjustment plan is constructed; S202: adopting the start-stop time adjustment scheme, by judging the influence of the current start-stop sequence on the operation efficiency, if there is room for optimization, re-planning the start-stop sequence, implementing sequence adjustment, testing each sequence combination, recording the test results, screening the sequence for reducing waiting time and optimizing energy consumption, and obtaining a sequence optimization strategy; S203: Utilizing the sequence optimization strategy, iteratively analyzing and adjusting the start and stop sequence between winch operations, capturing the optimal operation sequence and obtaining the scheduling optimization strategy by testing and comparing the performance of multiple adjustment schemes.

[0010] Preferably, the influence of the current ambient temperature and load size on the performance of the winch is investigated by using the formula: ; Calculate performance impact If the analysis results show that there is an impact, corresponding adjustments will be made. By recording the pre-start preparation time and the post-stop cooling time under differentiated environments, adjustments will be made item by item to match the optimal performance requirements under differentiated environmental conditions and build a start-stop time adjustment plan; in, Represents the impact of ambient temperature and load on winch performance. Represents the current ambient temperature. Represents the optimal working environment temperature, Representative The force of the group load, Representative The load of the group load, Represents the total mass of the winch system, represents the comprehensive friction coefficient of the system, Representative The operating speed of the group load, Represents the total number of load groups, The number of measurement groups representing the running speed.

[0011] Preferably, based on the scheduling optimization strategy, fine-tuning the strategy to cope with emergencies such as increased load and equipment failure, setting the strategy adjustment threshold and response mechanism, and generating the specific steps of the emergency response process are as follows: S301: Based on the scheduling optimization strategy, record and analyze the emergency simulation data of increased load and equipment failure, set the threshold of strategy adjustment, including evaluating the performance impact under differentiated load conditions and responding when a failure occurs, and build an adjustment threshold and response mechanism; S302: using the adjustment threshold and response mechanism, executing differentiated scenario simulation, covering the situations of increased load and equipment failure, recording the response to each situation, identifying the adjustment method affecting the strategy by analyzing the response data, and obtaining the emergency adjustment strategy simulation result; S303: Using the simulation results of the emergency adjustment strategy, describe the response measures, responsible person assignment, and expected response time under differentiated emergencies, respond quickly when a predetermined emergency occurs, and establish an emergency response process.

[0012] Preferably, according to the emergency response process, the deviation between the real-time load and the preset load is monitored, and when it exceeds the predetermined range, the load evaluation mechanism is triggered, the start-stop strategy is adjusted, and the specific steps of obtaining the real-time load matching solution are as follows: S401: Based on the emergency response process, monitor the load of the winch in real time, collect current load data, compare the deviation between the real-time load and the preset load, and if the deviation exceeds the predetermined range, trigger the load evaluation mechanism, including recording the time and degree of the deviation, analyzing the reason why the deviation exceeds the range, and building a real-time load monitoring framework; S402: Based on the feedback from the real-time load monitoring framework, a fuzzy logic control method and a predictive control algorithm are applied. If a load deviation is detected, the start-stop strategy is adjusted to optimize the start-stop sequence to match the real-time load change, and the execution and effect of the adjustment measures are recorded to obtain an immediate strategy adjustment plan; S403: Utilize the real-time policy adjustment plan to evaluate the impact of the adjustment measures on efficiency and security, identify key parameters for efficiency improvement and reduction, quantify factors for security enhancement and reduction, adjust operating parameters based on the evaluation results, optimize resource allocation, reduce response time, enhance protection mechanisms, refine authority control, record problems discovered during the evaluation process, analyze the causes of the problems, and obtain real-time load matching solutions.

[0013] Preferably, the application predictive control algorithm adopts the formula: ; Calculating Load Adjustment Parameters , optimize the start-stop sequence to match the real-time load changes, record the execution and effect of the adjustment measures, and obtain an immediate strategy adjustment plan; in, represents the load adjustment parameter, Representative The actual load value at a time point, Representative The predicted load value at a time point, Representative The load weight at each time point, Represents the total number of load monitoring time points, Represents the time point index used to calculate the normalization factor.

[0014] Preferably, the specific steps of executing the real-time load matching scheme, collecting the motor current and rope tension monitoring data during the start-stop process, evaluating the operation safety margin based on the real-time data, and establishing the operation safety margin framework are as follows: S501: Through the real-time load matching solution, monitoring equipment is deployed at key positions of the motor and the rope to continuously monitor the current and tension data, and transmit the data to the monitoring center in real time through the network. The monitoring center analyzes the data, evaluates the safety margin of the current operation, and establishes a monitoring data collection architecture; S502: Calculate the safety margin of the current operation based on the data provided by the monitoring data collection architecture, compare the safety margin with the safety standard, and if the safety margin is lower than the standard, slow down the start and stop speed by adjusting the control configuration, extend the preparation time before starting and the cooling time after stopping, and obtain an operation safety margin adjustment plan; S503: Execute the operational safety margin adjustment plan, evaluate the impact of the adjustment measures, record the execution details and effect evaluation of the adjustment measures, determine the effectiveness of the adjustment measures, and establish an operational safety margin framework.

[0015] A winch safety start and stop control system, the system comprising: The environmental analysis module measures ambient temperature and humidity, evaluates the impact on winch performance, determines appropriate environmental parameters for operation, and generates environmental adaptability guidance; The start-stop parameter setting module sets the start preheating and shutdown cooling time according to the environmental adaptability guidance, adjusts the start-stop speed, calculates the optimal start-stop parameters for differentiated working conditions, and obtains the start-stop parameter solution; The operation monitoring module uses the start-stop parameter scheme to monitor each start and stop of the winch, detect the equipment operation status in real time, identify abnormal and out-of-bounds behaviors, and establish operation status monitoring records; The emergency processing module compares the operation status monitoring records, identifies sudden safety risks and equipment failures, adjusts operating parameters and activates emergency equipment, handles emergencies, and builds emergency operation plans; The interface response analysis module analyzes the operator's response in the emergency operation plan, optimizes the operation interface design, improves the intuitiveness of the operation interface and the operator's interaction efficiency, reduces the possibility of operation errors, and generates an interface design optimization strategy.

[0016] One or more technical solutions provided in this application have at least the following technical effects or advantages: By adjusting the speed curve of the winch start and stop, it directly affects the energy consumption and operating efficiency of the equipment, including playing a significant role in optimizing energy consumption and reducing waiting time. Fine adjustment enables the equipment to operate in the optimal state according to the actual load and environmental conditions, reducing mechanical wear and energy waste caused by the start and stop process, and further improving the economy of operation and the reliability of the equipment. The real-time load matching solution monitors the deviation between the real-time load and the preset load, and triggers the load evaluation mechanism when the deviation exceeds the predetermined range, so as to make immediate adjustments to the start and stop strategy to ensure the safety and efficiency of equipment operation. Improve the adaptability and stability of the winch in an operating environment with high uncertainty, and reduce the safety risks caused by sudden load changes.

[0017] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1The present invention provides a schematic diagram of the overall process of a winch safety start and stop control method; Figure 2 The present invention proposes a specific flow chart of S1 of a winch safety start and stop control method; Figure 3 The present invention proposes a specific flow chart of S2 of a winch safety start and stop control method; Figure 4 The present invention proposes a specific flow chart of S3 of a winch safety start and stop control method; Figure 5 The present invention proposes a specific flow chart of S4 of a winch safety start and stop control method; Figure 6 The present invention proposes a specific flow chart of S5 of a winch safety start and stop control method; Figure 7 The present invention proposes a specific flow chart of S6 of a winch safety start and stop control method; Figure 8 A module diagram of a winch safety start-stop control system is proposed for the present invention. DETAILED DESCRIPTION

[0019] The present application provides a winch safe start and stop control method and system.

[0020] Application Overview The existing traditional winch safety start and stop control methods in the prior art mainly focus on the hardware safety design and basic software control strategies, and have certain limitations when dealing with complex and changing operating environments and load conditions. In particular, when the impact of environmental factors and dynamic changes in load on the start and stop of equipment is not fully considered, it is easy to cause problems such as excessive wear of equipment, excessive energy consumption, and long waiting time for operation. Traditional methods lack sufficient flexibility and immediate response capabilities when dealing with emergencies such as sudden load increases or equipment failures, which not only increases the risk of accidents, but also causes damage to equipment and reduced production efficiency. Failure to adjust the start and stop speed curve according to differentiated working conditions will cause the equipment to generate excessive impact force when starting or stopping, causing damage to the equipment structure or safety accidents for operators.

[0021] In response to the above technical problems, the overall idea of ​​the technical solution provided by this application is as follows: like Figure 1 As shown, the present application provides a winch safety start and stop control method, wherein the method comprises the following steps: S1: Investigate the load characteristics and operating environment of the winch, analyze the start-stop requirements under different working conditions, formulate a preliminary start-stop mode according to the operating environment temperature, humidity and load size, formulate corresponding start-stop strategies for multiple working conditions, determine the operating mode decision tree, and obtain the start-stop mode decision guide; S2: According to the start-stop mode decision guide, adjust the preparation time before the winch starts and the cooling time after stopping, set the speed curve of starting and stopping, optimize energy consumption and reduce waiting time, use the start-stop sequence planning to reduce mutual waiting and conflicts, and obtain the scheduling optimization strategy; S3: Based on the scheduling optimization strategy, fine-tune the strategy, refer to emergencies including increased load and equipment failure, set strategy adjustment thresholds and response mechanisms, simulate responses under differentiated scenarios, capture the adjustment method with the least impact on the strategy, and generate an emergency response process; S4: According to the emergency response process, monitor the deviation between the real-time load and the preset load. When the deviation exceeds the preset range, trigger the load evaluation mechanism to adjust the start-stop strategy immediately. After the adjustment, re-evaluate the efficiency and safety to obtain the real-time load matching solution; S5: Through the execution of the real-time load matching solution, the monitoring data of the motor current and rope tension during the start-stop process are collected, and the safety margin of the operation is calculated based on the data. When the safety margin is lower than the safety standard, the operating parameters are adjusted, the start-stop speed is slowed down, the waiting time is extended, and the operational safety margin framework is established; S6: Utilize the operational safety margin framework, integrate operator feedback, analyze feedback on operational ease of use and safety, make adjustments to the human-machine interface design, optimize operational logic, comprehensively evaluate the adjustment effects, and build a user feedback optimization plan.

[0022] The start-stop mode decision-making guide includes the start delay setting under differentiated temperature and humidity, the speed adjustment strategy affected by load size, and the operation sequence for target working conditions. The scheduling optimization strategy includes reducing the waiting time before starting, adjusting the cooling cycle after stopping, setting the start and stop speed optimization curve, and conflict avoidance measures for the start-stop sequence. The emergency response process includes the response mechanism for sudden load increase, the operation adjustment threshold during equipment failure, the start-stop strategy fine-tuning method in emergency situations, and the dynamic update process of the response plan. The real-time load matching solution includes the real-time identification mechanism of the deviation between load monitoring and the preset value, the immediate start-stop adjustment measures according to the deviation size, and the continuous evaluation method of operation efficiency and safety. The operation safety margin framework includes the collection of real-time monitoring data of current and tension, the safety margin calculation formula based on the monitoring results, and the operation adjustment plan when the margin is insufficient. The user feedback optimization plan includes the classification and summary of operator feedback, the evaluation results of interface usability and safety, the improvement measures of the human-computer interaction interface, and the update plan of the operation guide.

[0023] Specifically, if Figure 2 As shown in the figure, the load characteristics and operating environment of the winch are investigated, the start-stop requirements under different working conditions are analyzed, and a preliminary start-stop mode is formulated according to the ambient temperature, humidity and load size. The specific steps for generating a start-stop mode decision guide are as follows: S101: Investigate the load characteristics and operating environment of the winch. Based on the evaluation of the load characteristics and operating environment of the winch, collect key data, including temperature, humidity and load size, identify factors that significantly affect the performance of the winch through data sorting and classification, analyze the factors, and obtain the execution process of the environmental load analysis file as follows; Based on the load characteristics and operating environment of the winch, sub-step S101 adopts the linear regression analysis method and is implemented using Python's Scikit-learn library to perform regression analysis on the temperature, humidity, and load size data. First, the data is imported through the Pandas library, and the data is sorted using DataFrame. The linear regression model LinearRegression is used for modeling. The model input parameters are set to temperature, humidity, and load size, and the output parameters are winch performance indicators. The model is trained using the fit method, and the predict method is used to predict the performance of new data to generate an environmental load analysis file.

[0024] S102: Using the environmental load analysis file, set the start-stop parameters of the winch under differentiated environmental and load conditions, verify the parameter effects through simulation experiments, adjust the parameters to optimize the start-stop performance, simulate the start-stop process under various environmental conditions, and build an optimized start-stop parameter library. The execution process is as follows; In sub-step S102, a genetic algorithm is used to set the start-stop parameters of the winch under differentiated environmental and load conditions. The genetic algorithm is implemented using Python's DEAP library, and an encoding method for representing the start-stop parameters of the winch is constructed. The fitness function is defined to evaluate the effectiveness of the parameter setting, and the crossover rate, mutation rate and selection strategy of the genetic algorithm are set. The parameter effects are tested through simulation experiments, and the parameters are adjusted to optimize the start-stop performance. The evolve method of the genetic algorithm is executed for iterative optimization until the optimal parameter settings are captured and an optimized start-stop parameter library is generated.

[0025] S103: Based on the optimized start-stop parameter library, a start-stop strategy is formulated for various working conditions, an operation mode decision tree including the working conditions is established, and the strategy performance is evaluated through simulation tests. The execution process of the start-stop mode decision guide is obtained as follows; In sub-step S103, a decision tree algorithm is used to formulate start-stop strategies for various working conditions. The DecisionTreeClassifier in Python's Scikit-learn library is used to implement the decision tree model. The optimized start-stop parameter library is used as input and the operation mode is used as output. The depth, splitting criteria and pruning strategy of the decision tree are defined. The model is trained by the fit method to establish an operation mode decision tree for the working condition. The predict method is used to infer the strategy for the new working condition and generate a start-stop mode decision guide.

[0026] Specifically, if Figure 3 As shown in the figure, according to the start-stop mode decision guide, the preparation time before the winch starts and the cooling time after stopping are adjusted, and the start-stop speed curve is set. The specific steps of obtaining the scheduling optimization strategy are as follows: S201: Based on the start-stop mode decision guide, a linear regression algorithm is applied to examine the impact of the current ambient temperature and load size on the performance of the winch. If the analysis results show that there is an impact, corresponding adjustments are made. By recording the pre-start preparation time and the post-stop cooling time under differentiated environments, adjustments are made item by item to match the optimal performance requirements under differentiated environmental conditions. The execution process of constructing the start-stop time adjustment plan is as follows; Sub-step S201 adopts regression analysis method based on the analysis of ambient temperature and load size, and uses Python's SciPy library to execute the linear regression function linregress. The input parameters include the ambient temperature data set and the load size data set. The ambient temperature is used as the independent variable and the load size is used as the dependent variable. The regression equation coefficients and intercept are obtained by calculation to adjust the preparation time before the winch starts and the cooling time after stopping. For each different ambient temperature and load condition, the coefficients and intercepts obtained by linregress are used to dynamically adjust the start and stop time to match the optimal performance requirements, and finally a start and stop time adjustment plan is generated.

[0027] The above-mentioned study on the influence of the current ambient temperature and load size on the performance of the winch adopts the formula: ; Calculate performance impact If the analysis results show that there is an impact, corresponding adjustments will be made. By recording the pre-start preparation time and the post-stop cooling time under differentiated environments, adjustments will be made item by item to match the optimal performance requirements under differentiated environmental conditions and build a start-stop time adjustment plan; in, Represents the impact of ambient temperature and load on winch performance. Represents the current ambient temperature. Represents the optimal working environment temperature, Representative The force of the group load, Representative The load of the group load, Represents the total mass of the winch system, represents the comprehensive friction coefficient of the system, Representative The operating speed of the group load, Represents the total number of load groups, The number of measurement groups representing the running speed.

[0028] The execution process is as follows; Collect current ambient temperature data, use precision temperature sensors to measure the temperature of the winch working environment, and record it as For example, the measured temperature is 35°C. At the same time, determine the optimal working environment temperature of the winch , which can be obtained from the technical manual provided by the manufacturer or laboratory testing, assuming it is 25°C. Next, calculate the absolute value of the ambient temperature difference, that is, °C, and then evaluate the effect of load size on winch performance, using a load sensor to measure the current load force , assuming the measured force is 8000N, at the same time, record the lifting height of the load , assuming it is 50m, calculate the load impact N·m, then obtain the total mass of the winch system For example, if the total mass of the system is 2000kg, check the comprehensive friction coefficient of the system , assuming 0.05, measure the running speed of the load , assuming it is 2m / s, calculate the sum of the reciprocals of the speed , then substitute the above data into the formula , calculated , which indicates the comprehensive influence of ambient temperature and load on winch performance. If the value exceeds the preset performance impact threshold, assuming that the threshold is 5000, corresponding adjustments need to be made. The preparation time before startup and the cooling time after stopping under different environmental conditions are recorded. Assuming that in a high temperature environment, an additional 5 minutes of preparation time is required before startup, and an additional 10 minutes of cooling time is required after stopping. By adjusting these time parameters item by item, the optimal performance requirements under different environmental conditions can be matched. Finally, a start-stop time adjustment plan suitable for various environments is constructed.

[0029] S202: adopting the start-stop time adjustment scheme, by judging the impact of the current start-stop sequence on the operating efficiency, if there is room for optimization, re-planning the start-stop sequence, implementing sequence adjustment, testing each sequence combination, recording the test results, screening the sequence that reduces the waiting time and optimizes the energy consumption, and obtaining the execution process of the sequence optimization strategy as follows; The S202 sub-step uses a genetic algorithm and implements the genetic algorithm operation through Python's DEAP library. The population size is set to 100, the crossover rate is 0.7, the mutation rate is 0.2, the current start-stop order is taken as the individual, the operation efficiency is taken as the fitness function, and the waiting time and energy consumption are included as evaluation indicators. The start-stop order is iteratively optimized through four steps of selection, crossover, mutation and fitness evaluation. Each iteration selects the individual with the highest fitness as the next generation. After the set number of iterations, the optimal start-stop order is screened to generate a sequential optimization strategy.

[0030] S203: using the sequential optimization strategy, iteratively analyzing and adjusting the start and stop sequence of the winch operation, and capturing the optimal operation sequence by testing and comparing the performance of multiple adjustment schemes, the execution process of the scheduling optimization strategy is as follows; The S203 sub-step uses the simulated annealing algorithm and performs a simulated annealing process through Python's SimAnneal library. The initial temperature is set to 1000, the cooling rate is set to 0.95, the minimum temperature is set to 1, and the initial solution is the current start-stop order. The performance of the operation sequence is defined by the energy function, including the start-stop interval and the overall energy consumption. Each step attempts to randomly adjust the order of two operations, calculates the adjusted energy difference, and decides whether to accept the new order based on the temperature and energy difference. By gradually lowering the temperature and iteratively searching for the global optimal solution, the optimal scheduling optimization strategy is finally obtained.

[0031] Specifically, if Figure 4 As shown in the figure, based on the scheduling optimization strategy, fine-tuning the strategy to deal with emergencies such as increased load and equipment failure, setting the strategy adjustment threshold and response mechanism, and generating the specific steps of the emergency response process are as follows: S301: Based on the scheduling optimization strategy, record and analyze the emergency simulation data of increased load and equipment failure, set the threshold of strategy adjustment, including the evaluation of the performance impact under differentiated load conditions and the response when the failure occurs, and build the execution process of the adjustment threshold and response mechanism as follows; Based on the scheduling optimization strategy, sub-step S301 records the simulated data of sudden events such as increased load and equipment failure, adopts the decision tree classification algorithm, and uses Python's scikit-learn library to execute the decision tree classifier DecisionTreeClassifier. The input parameters are the simulated data set, including the load size and equipment status label. Through the training process, a model is built to identify the best response strategy under different load and fault conditions, set the strategy adjustment threshold, evaluate the performance impact under differentiated load conditions and the response when a fault occurs, use the decision tree results to guide the threshold setting and the construction of the response mechanism, and determine the key factors affecting the operating performance by analyzing the decision path generated by the model, and generate the adjustment threshold and response mechanism.

[0032] S302: Using the adjustment threshold and response mechanism, perform differentiated scenario simulations to cover situations of increased load and equipment failures, record responses to each situation, analyze response data, identify adjustment methods that affect the strategy, and obtain emergency adjustment strategy simulation results. The execution process is as follows; Sub-step S302 uses adjustment thresholds and response mechanisms to perform differentiated scenario simulations, covering increased load and equipment failure situations. It uses the Monte Carlo simulation method to generate random samples through Python's NumPy library, simulates different load and failure scenarios, and records the response data in each case. It conducts a large number of iterative tests based on the results of the Monte Carlo simulation, uses statistical analysis methods to identify the adjustment methods that affect the strategy, analyzes the response data, identifies sensitive parameters and potential optimization points, and generates emergency adjustment strategy simulation results. It accurately simulates the performance and response efficiency in different scenarios through an iterative process, providing data support for strategy adjustment.

[0033] S303: Using the simulation results of the emergency adjustment strategy, describe the response measures, responsible person assignment, and expected response time under differentiated emergencies, and respond quickly when a predetermined emergency occurs. The execution process of establishing the emergency response process is as follows; The S303 sub-step uses the simulation results of the emergency adjustment strategy to describe the response measures, responsible person assignment, and expected response time under differentiated emergencies. It uses event-driven simulation technology to simulate the response process of predetermined emergencies through Python's SimPy library, set up the simulation environment and event triggering conditions, such as load surge and equipment failure, and define various parameters in the event handling process, including response measures, responsible persons, and expected response time. It performs event-driven simulation through SimPy, updates the simulation environment status in real time, records event handling results, responds quickly, and establishes an emergency response process.

[0034] Specifically, if Figure 5As shown in the figure, according to the emergency response process, the deviation between the real-time load and the preset load is monitored, and when it exceeds the preset range, the load evaluation mechanism is triggered, the start-stop strategy is adjusted, and the specific steps for obtaining the real-time load matching solution are as follows: S401: Based on the emergency response process, the load condition of the winch is monitored in real time, the current load data is collected, and the deviation between the real-time load and the preset load is compared. If the deviation exceeds the preset range, the load evaluation mechanism is triggered, including recording the time and degree of the deviation, and analyzing the reasons why the deviation exceeds the range. The execution process of building a real-time load monitoring framework is as follows; The S401 sub-step is based on the emergency response process and monitors the load condition of the winch in real time. It adopts real-time data acquisition technology, uses sensors to collect current load data, and reads temperature, humidity and load size data through the microcontroller unit (MCU). The collected data is pre-processed using a moving average filter algorithm to smooth short-term fluctuations. The filter window size is set to 5. After the data is filtered, the threshold judgment method is used to compare the deviation between the real-time load and the preset load. The deviation threshold is set to 10%. If the deviation exceeds the predetermined range, the load assessment mechanism is triggered. The mechanism includes recording the time point and degree of the deviation, using timestamps and deviation value records, analyzing the reasons for the deviation exceeding the range, and using simple linear regression analysis to determine the relationship between the deviation and environmental factors to generate a real-time load monitoring framework.

[0035] S402: Based on the feedback from the real-time load monitoring framework, the predictive control algorithm is applied. If a load deviation is detected, the start-stop strategy is adjusted to optimize the start-stop sequence to match the real-time load change, and the execution and effect of the adjustment measures are recorded. The execution process of the real-time strategy adjustment plan is as follows; The S402 sub-step adopts a predictive control algorithm based on the feedback of the real-time load monitoring framework. If a load deviation is detected, the start-stop strategy is adjusted. The fuzzy logic control method is adopted, and the fuzzy logic controller is used to optimize the start-stop sequence according to the real-time load data and the preset load standard. A fuzzy rule base is constructed, including rules for the influence of factors such as load size, temperature and humidity on the start-stop sequence. The input of the fuzzy logic controller is set to load deviation, temperature deviation and humidity deviation, and the output is the start-stop strategy adjustment instruction. Through the fuzzy reasoning mechanism, the optimal start-stop sequence is determined to match the real-time load changes, the execution status and effects of the adjustment measures are recorded, and an immediate strategy adjustment plan is generated.

[0036] Apply the predictive control algorithm using the formula: ; Calculating Load Adjustment Parameters , optimize the start-stop sequence to match the real-time load changes, record the execution and effect of the adjustment measures, and obtain an immediate strategy adjustment plan; in, represents the load adjustment parameter, Representative The actual load value at a time point, Representative The predicted load value at a time point, Representative The load weight at each time point, Represents the total number of load monitoring time points, Represents the time point index used to calculate the normalization factor.

[0037] The execution process is as follows; To apply the predictive control algorithm, first, collect the actual load data of the target system at different time points and the corresponding predicted load data For example, in an industrial production line, sensors record actual power consumption once an hour, and the prediction model provides corresponding prediction values. Suppose at 5 time points The actual load values ​​are 150kW, 160kW, 170kW, 180kW, and 190kW, while the predicted load values ​​are 140kW, 155kW, 160kW, 170kW, and 180kW. Next, calculate the load deviation at each time point. , which is calculated as , 10kW, 5kW, 10kW, 10kW, 10kW are calculated respectively, and then the load weight is assigned to each time point ,These weights can be determined based on the importance of the time point or other relevant factors. For example, the production peak during the day is more important than the night time, so it is given a higher weight. Assuming that the load weights of the five time points are 0.9, 1.0, 1.1, 1.2, and 1.3 respectively, next, calculate the normalization factor , which is the square root of the sum of the squares of all weights, is calculated as: ; Calculated , finally, calculate the load adjustment parameters , the formula is: ; Bring in data calculation: ; ; ; Calculate the load adjustment parameters kW, record the implementation and effects of these adjustment measures, and finally form an immediate strategic adjustment plan.

[0038] S403: Use the real-time strategy adjustment plan to evaluate the impact of the adjustment measures on efficiency and security, identify key parameters for efficiency improvement and reduction, quantify factors for security enhancement and reduction, adjust operation parameters according to the evaluation results, optimize resource allocation, reduce response time, enhance protection mechanisms, refine authority control, record problems discovered during the evaluation process, analyze the causes of the problems, and obtain the execution process of the real-time load matching plan as follows; The S403 sub-step uses the real-time policy adjustment plan to evaluate the impact of the adjustment measures on efficiency and safety. It adopts a multi-objective optimization algorithm, including the Pareto frontier optimization method, to identify the key parameters for efficiency improvement and reduction, and quantify the factors for enhanced and weakened safety. In the multi-objective optimization framework, efficiency and safety are set as optimization goals. By constructing an efficiency and safety evaluation model, optimization solutions are performed to capture the best combination of operating parameters, optimize resource allocation, reduce response time, enhance protection mechanisms, refine authority control, record problems discovered during the evaluation process, analyze the causes of the problems, and use the root cause analysis method (RCA) to determine the root causes and influencing factors of the problems, and generate real-time load matching solutions.

[0039] Specifically, if Figure 6 As shown in the figure, the specific steps of implementing the real-time load matching scheme, collecting the motor current and rope tension monitoring data during the start-stop process, evaluating the operation safety boundary based on the real-time data, and establishing the operation safety margin framework are as follows: S501: Through the real-time load matching solution, monitoring equipment is deployed at key positions of motors and ropes to continuously monitor current and tension data, which are transmitted to the monitoring center in real time through the network. The monitoring center analyzes the data and evaluates the safety margin of the current operation. The execution process of establishing the monitoring data collection architecture is as follows; In sub-step S501, monitoring equipment is deployed at key positions of motors and ropes through a real-time load matching solution to continuously monitor current and tension data. The Internet of Things (IoT) sensing technology and the MQTT protocol are used to collect current and tension data using IoT devices, and the data is transmitted to the monitoring center in real time through the MQTT protocol. The monitoring center uses Python's paho-mqtt library to subscribe to and receive data, analyze the data, and evaluate the safety margin of the current operation. The IoT sensing technology is used to realize real-time data collection, and the MQTT protocol is used to ensure real-time transmission and efficient processing of data. The monitoring center analyzes the data received through the paho-mqtt library, performs real-time evaluation of operational safety, and generates a monitoring data collection architecture.

[0040] S502: Calculate the safety margin of the current operation based on the data provided by the monitoring data collection architecture, and compare the safety margin with the safety standard. If the safety margin is lower than the standard, slow down the start and stop speed by adjusting the control configuration, extend the preparation time before starting and the cooling time after stopping, and obtain the execution process of the operation safety margin adjustment plan as follows; Sub-step S502 calculates the safety margin of the current operation based on the data provided by the monitoring data collection architecture, compares the safety margin with the safety standard, and uses data analysis and machine learning techniques, specifically a linear regression model, to calculate the safety margin using Python's scikit-learn library. The input parameters include the current and tension data collected by the monitoring center. The linear regression model is used to predict the safety margin of the operation. If the safety margin is lower than the standard, the start and stop speed is slowed down by adjusting the control configuration, and the preparation time before starting and the cooling time after stopping are extended. The linear regression model is used to analyze and predict the safety margin. For situations below the safety standard, an operation safety margin adjustment plan is generated.

[0041] S503: Execute the operational safety margin adjustment plan, evaluate the impact of the adjustment measures, record the implementation details and effect evaluation of the adjustment measures, determine the effectiveness of the adjustment measures, and establish the execution process of the operational safety margin framework as follows; The S503 sub-step executes the operational safety margin adjustment plan, evaluates the impact of the adjustment measures, records the execution details and effect evaluation of the adjustment measures, adopts an effect evaluation model, specifically a logistic regression model, and uses Python's Statsmodels library to perform statistical analysis of the execution details and effects. The input parameters include the safety margin data before and after the adjustment measures. The effectiveness of the adjustment measures is evaluated through the logistic regression model to confirm whether the adjustment measures have effectively improved the operational safety margin. The logistic regression model is used to evaluate the effects of the adjustment measures to ensure that the adjustment measures can effectively improve the safety margin and establish an operational safety margin framework.

[0042] Specifically, if Figure 7 As shown in the figure, the specific steps of using the operational safety margin framework, integrating operator feedback, analyzing operational ease of use and safety feedback, adjusting the human-machine interface design, and building a user feedback optimization solution are as follows: S601: Based on the operational safety margin framework, configure online feedback functions and physical feedback boxes at workstations to collect operators’ feedback on usability and safety, including problems encountered during use and optimization solutions. The execution process of establishing an operator feedback collection mechanism is as follows; Based on the operational safety margin framework, sub-step S601 configures online feedback functions and physical feedback boxes at workstations to collect operators' feedback on ease of use and safety. It adopts text analysis methods and uses natural language processing (NLP) technology, including sentiment analysis, to analyze the collected text feedback. It uses Python's Natural Language Toolkit (NLTK) library to import text data, decomposes the feedback text into words and sentences through Tokenization, and applies sentiment analysis algorithms to score the sentiment tendency of the text, analyze positive and negative feedback, and filter feedback that needs to be prioritized according to the sentiment score threshold, thereby identifying key issues in ease of use and safety. It designs problem classification standards, such as operation complexity, safety warning neglect, etc., classifies problems, provides a basis for optimization solutions, and generates an operator feedback collection mechanism.

[0043] S602: Based on the operator feedback collection mechanism, analyze the collected operator feedback, identify the usability and safety issues in the human-machine interface, adjust the interface layout, design the operation process, test the new interface design through simulated operation, and obtain the execution process of the human-machine interface optimization adjustment plan as follows; Sub-step S602 analyzes the collected operator feedback based on the operator feedback collection mechanism, identifies usability and safety issues in the human-computer interface, and uses interface prototyping tools such as Adobe XD to design a new interface layout and operation process. Based on the feedback collection results, list the optimization points of the interface design, such as button size adjustment, color contrast enhancement, etc., create an interface prototype in Adobe XD, adjust the layout, add user operation instructions, simulate the operation process by creating an interactive prototype, conduct user testing on the prototype, collect test feedback, and adjust the interface according to the test results until the optimization requirements of usability and safety are met, and generate a human-computer interface optimization adjustment plan.

[0044] S603: Based on the human-machine interface optimization and adjustment plan, after implementing the new human-machine interface design, invite operators to conduct operation tests, collect interface feedback, compare the operation efficiency and safety before and after the improvement, and verify the interface adjustment to optimize the user experience by recording the operator's satisfaction. The execution process of building the user feedback optimization plan is as follows; Sub-step S603 is based on the human-machine interface optimization and adjustment plan. After the new human-machine interface design is implemented, operators are invited to conduct operation tests and interface feedback is collected using questionnaires and observation methods. First, an electronic questionnaire is created, which includes evaluation indicators of operation efficiency and safety. The questionnaire is distributed using an online questionnaire platform such as SurveyMonkey. At the same time, a test scenario is set up for observation, and the operator's operation process and reaction time are recorded. Data is collated and analyzed using data analysis software such as SPSS, and the operation efficiency and safety before and after the improvement are compared. Statistical test methods such as T-test are used to test the differences in operator satisfaction. Based on the analysis results, the user experience is adjusted and optimized, and a user feedback optimization plan is constructed.

[0045] See also Figure 8 , a winch safety start and stop control system, the system includes: The environmental analysis module measures ambient temperature and humidity, evaluates the impact on winch performance, determines appropriate environmental parameters for operation, and generates environmental adaptability guidance; The start-stop parameter setting module sets the start preheating and shutdown cooling time according to the environmental adaptability guidance, adjusts the start-stop speed, calculates the optimal start-stop parameters for differentiated working conditions, and obtains the start-stop parameter solution; The operation monitoring module uses the start-stop parameter scheme to monitor each start and stop of the winch, detect the equipment operation status in real time, identify abnormal and out-of-bounds behaviors, and establish operation status monitoring records; The emergency handling module compares the operating status monitoring records, identifies sudden safety risks and equipment failures, adjusts operating parameters and activates emergency equipment, handles emergencies, and builds emergency operation plans; The interface response analysis module analyzes the operator's response in the emergency operation plan, optimizes the operation interface design, improves the intuitiveness of the operation interface and the operator's interaction efficiency, reduces the possibility of operation errors, and generates interface design optimization strategies.

[0046] Although the present application has been described in conjunction with specific features and embodiments thereof, it is apparent that various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. Accordingly, this specification and the drawings are merely exemplary illustrations of the present application as defined by the appended claims, and are deemed to have covered any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include these modifications and variations.

Claims

1. A winch safety start and stop control method, characterized in that: The method comprises the following steps: Investigate the load characteristics and operating environment of the winch, analyze the start-stop requirements under different working conditions, formulate preliminary start-stop modes based on ambient temperature, humidity and load size, and generate a start-stop mode decision guide; According to the start-stop mode decision guide, the preparation time before the winch starts and the cooling time after the winch stops are adjusted, and the start-stop speed curve is set to obtain the scheduling optimization strategy; Based on the scheduling optimization strategy, fine-tune the strategy to deal with emergencies such as increased load and equipment failure, set strategy adjustment thresholds and response mechanisms, and generate emergency response processes; According to the emergency response process, the deviation between the real-time load and the preset load is monitored, and when it exceeds the preset range, the load evaluation mechanism is triggered, the start-stop strategy is adjusted, and the real-time load matching solution is obtained; Execute the real-time load matching scheme, collect motor current and rope tension monitoring data during the start-stop process, evaluate the operation safety boundary based on the real-time data, and establish an operation safety margin framework; Utilizing the described operational safety margin framework, the operator feedback is integrated, operational usability and safety feedback is analyzed, the human-machine interface design is adjusted, and a user feedback optimization program is constructed.

2. The winch safety start and stop control method according to claim 1, characterized in that: The start-stop mode decision guide includes the start delay setting under differentiated temperature and humidity, the speed adjustment strategy affected by load size and the operation sequence of the target working condition application. The scheduling optimization strategy includes reducing the waiting time before starting, adjusting the cooling cycle after stopping, setting the start and stop speed optimization curve, and the conflict avoidance measures of the start-stop sequence. The emergency response process includes the response mechanism of sudden load increase, the operation adjustment threshold when the equipment fails, the start-stop strategy fine-tuning method in emergency situation and the dynamic update process of the response plan. The real-time load matching solution includes the real-time identification mechanism of the deviation between load monitoring and the preset value, the immediate start-stop adjustment measures according to the deviation size, and the continuous evaluation method of operation efficiency and safety. The operation safety margin framework includes the collection of real-time monitoring data of current and tension, the safety margin calculation formula based on the monitoring results and the operation adjustment plan when the margin is insufficient. The user feedback optimization plan includes the classification and summary of operator feedback, the evaluation results of interface usability and safety, the improvement measures of the human-computer interaction interface and the update plan of the operation guide.

3. The winch safety start and stop control method according to claim 1, characterized in that: According to the start-stop mode decision guide, the preparation time before the winch starts and the cooling time after stopping are adjusted, and the start-stop speed curve is set. The specific steps of obtaining the scheduling optimization strategy are as follows: Based on the start-stop mode decision guide, a linear regression algorithm is applied to examine the impact of the current ambient temperature and load size on the performance of the winch. If the analysis results show that there is an impact, corresponding adjustments are made. By recording the pre-start preparation time and the post-stop cooling time under differentiated environments, adjustments are made item by item to match the optimal performance requirements under differentiated environmental conditions and build a start-stop time adjustment plan. The start-stop time adjustment scheme is adopted to judge the influence of the current start-stop sequence on the operation efficiency. If optimization space is found, the start-stop sequence is re-planned, the sequence is adjusted, each sequence combination is tested, the test results are recorded, and the sequence that reduces the waiting time and optimizes the energy consumption is screened to obtain the sequence optimization strategy; The sequential optimization strategy is used to iteratively analyze and adjust the start and stop sequence of the winch operation. By testing and comparing the performance of multiple adjustment schemes, the optimal operation sequence is captured and the scheduling optimization strategy is obtained.

4. The winch safety start and stop control method according to claim 3, characterized in that: The above-mentioned study on the influence of the current ambient temperature and load size on the performance of the winch adopts the formula: ； Calculate performance impact If the analysis results show that there is an impact, corresponding adjustments will be made. By recording the pre-start preparation time and the post-stop cooling time under differentiated environments, adjustments will be made item by item to match the optimal performance requirements under differentiated environmental conditions and build a start-stop time adjustment plan; in, Represents the impact of ambient temperature and load on winch performance. Represents the current ambient temperature. Represents the optimal working environment temperature, Representative The force of the group load, Representative The load of the group load, represents the total mass of the winch system, represents the comprehensive friction coefficient of the system, Representative The operating speed of the group load, Represents the total number of load groups, The number of measurement groups representing the running speed.

5. The winch safety start and stop control method according to claim 1, characterized in that: Based on the scheduling optimization strategy, fine-tuning the strategy to deal with emergencies such as increased load and equipment failure, setting the strategy adjustment threshold and response mechanism, and generating the specific steps of the emergency response process are as follows: Based on the dispatch optimization strategy, record and analyze the emergency simulation data of increased load and equipment failure, set the threshold of strategy adjustment, including evaluating the performance impact under differentiated load conditions and responding when failure occurs, and build adjustment threshold and response mechanism; Using the adjustment threshold and response mechanism, perform differentiated scenario simulations to cover situations of increased load and equipment failure, record responses to each situation, analyze response data, identify adjustment methods that affect the strategy, and obtain emergency adjustment strategy simulation results; The simulation results of the emergency adjustment strategy are used to describe the response measures, responsibility assignment, and expected response time under differentiated emergencies. When a predetermined emergency occurs, a rapid response is carried out and an emergency response process is established.

6. The winch safety start and stop control method according to claim 1, characterized in that: According to the emergency response process, the deviation between the real-time load and the preset load is monitored, and when it exceeds the preset range, the load evaluation mechanism is triggered, the start-stop strategy is adjusted, and the specific steps for obtaining the real-time load matching solution are as follows: Based on the emergency response process, the load condition of the winch is monitored in real time, the current load data is collected, and the deviation between the real-time load and the preset load is compared. If the deviation exceeds the predetermined range, the load assessment mechanism is triggered, including recording the time and degree of the deviation, analyzing the reasons for the deviation exceeding the range, and building a real-time load monitoring framework; Based on the feedback from the real-time load monitoring framework, the fuzzy logic control method and the predictive control algorithm are applied. If a load deviation is detected, the start-stop strategy is adjusted to optimize the start-stop sequence to match the real-time load change, and the execution and effect of the adjustment measures are recorded to obtain an immediate strategy adjustment plan; Utilize the real-time policy adjustment plan to evaluate the impact of adjustment measures on efficiency and security, identify key parameters for efficiency improvement and reduction, quantify factors for enhanced and weakened security, adjust operating parameters based on the evaluation results, optimize resource allocation, reduce response time, enhance protection mechanisms, refine authority control, record problems discovered during the evaluation process, analyze the causes of the problems, and obtain real-time load matching solutions.

7. The winch safety start and stop control method according to claim 6, characterized in that: The application predictive control algorithm adopts the formula: ； Calculating Load Adjustment Parameters , optimize the start-stop sequence to match the real-time load changes, record the execution and effect of the adjustment measures, and obtain an immediate strategy adjustment plan; in, represents the load adjustment parameter, Representative The actual load value at a time point, Representative The predicted load value at a time point, Representative The load weight at each time point, Represents the total number of load monitoring time points, Represents the time point index used to calculate the normalization factor.

8. The winch safety start and stop control method according to claim 1, characterized in that: The specific steps of executing the real-time load matching scheme, collecting the motor current and rope tension monitoring data during the start-stop process, evaluating the operation safety margin based on the real-time data, and establishing the operation safety margin framework are as follows: Through the real-time load matching solution, monitoring equipment is deployed at key locations of motors and ropes to continuously monitor current and tension data, which are transmitted to the monitoring center in real time through the network. The monitoring center analyzes the data, evaluates the safety margin of the current operation, and establishes a monitoring data collection architecture; Calculate the safety margin of the current operation based on the data provided by the monitoring data collection architecture, compare the safety margin with the safety standard, and if the safety margin is lower than the standard, slow down the start and stop speed by adjusting the control configuration, extend the preparation time before starting and the cooling time after stopping, and obtain an operation safety margin adjustment plan; Execute the operational safety margin adjustment plan, evaluate the impact of the adjustment measures, record the implementation details and effect evaluation of the adjustment measures, determine the effectiveness of the adjustment measures, and establish an operational safety margin framework.

9. A winch safety start and stop control system, characterized in that: According to the winch safety start and stop control method according to any one of claims 1 to 8, the system comprises: The environmental analysis module measures ambient temperature and humidity, evaluates the impact on winch performance, determines appropriate environmental parameters for operation, and generates environmental adaptability guidance; The start-stop parameter setting module sets the start preheating and shutdown cooling time according to the environmental adaptability guidance, adjusts the start-stop speed, calculates the optimal start-stop parameters for differentiated working conditions, and obtains the start-stop parameter solution; The operation monitoring module uses the start-stop parameter scheme to monitor each start and stop of the winch, detect the equipment operation status in real time, identify abnormal and out-of-bounds behaviors, and establish operation status monitoring records; The emergency processing module compares the operation status monitoring records, identifies sudden safety risks and equipment failures, adjusts operating parameters and activates emergency equipment, handles emergencies, and builds emergency operation plans; The interface response analysis module analyzes the operator's response in the emergency operation plan, optimizes the operation interface design, improves the intuitiveness of the operation interface and the operator's interaction efficiency, reduces the possibility of operation errors, and generates an interface design optimization strategy.

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