Intelligent control method and system for disaster response of wind-resistant and fire-resistant rolling shutter door

Abstract

The invention relates to the technical field of safety control, in particular to an intelligent control method and system for disaster coping with a wind-resistant and fire-resistant rolling shutter door, and the method comprises the following steps: extracting and calculating a wind speed difference value and a temperature gradient value based on a wind speed sensor signal and a temperature sensor signal of the rolling shutter door, carrying out the attribution classification through combining the load pressure data at the two sides of a door curtain, and comparing and judging with the node state of the roller shutter door to obtain a node disaster response priority index. According to the method, the wind speed difference value and the temperature gradient are calculated by extracting wind speed and temperature signals, multi-node cooperation is ensured, transmission shaft operation parameters, infrared signals and the pressure state are analyzed, the operation state is mastered in real time, the power of the transmission shaft is dynamically adjusted to improve adaptability and stability, output of a driving motor and configuration of sealing parameters are optimized, and the sealing performance is improved. The roller shutter door can keep balance between operation and sealing performance under strong wind and high temperature, wind resistance and fire resistance are remarkably improved, disaster loss is reduced, and response efficiency and safety protection capacity are enhanced.

Description

Technical Field

[0001] The present invention relates to the field of safety control technology, and in particular to an intelligent control method and system for disaster response of wind-resistant and fire-proof rolling shutter doors. Background Art

[0002] The field of safety control technology involves technical methods for monitoring, adjusting and ensuring the safe operation of various equipment and facilities under specific conditions. Its core goal is to ensure that the system can respond quickly to emergencies such as natural disasters, fires, accidents, etc. through intelligent and automated means, and automatically adjust or take protective measures. This field combines sensor technology, intelligent control technology, real-time data analysis and feedback mechanisms, and is widely used in industries such as industry, construction, transportation, electricity, fire protection, etc. to ensure the safety of key facilities and personnel. By establishing a safety protection system, safety control technology can effectively reduce risks, reduce losses, and improve the efficiency of responding to emergencies.

[0003] Among them, the intelligent control method for disaster response of wind-resistant and fire-resistant rolling shutter doors refers to a management method that uses intelligent control technology to respond to disasters of wind-resistant and fire-resistant rolling shutter doors. Its core purpose is to automatically control the opening and closing status of rolling shutter doors through real-time monitoring and intelligent algorithms when disasters such as wind disasters and fires occur, so as to minimize the damage caused by disasters to building structures, personnel and property. This method combines sensor technology, disaster warning systems and automatic execution mechanisms to enhance the disaster emergency response capabilities of buildings and ensure effective protection in dangerous situations.

[0004] Existing technologies lack the ability to jointly analyze multiple environmental parameters in disaster response, and can only trigger basic responses through a single signal such as wind speed or temperature, resulting in inaccurate judgment of disaster scenarios and prone to misoperation or delayed response problems. Existing methods find it difficult to effectively integrate task coordination between multiple nodes of rolling shutter doors, and are unable to dynamically adjust priority allocation between nodes according to actual needs, which can easily lead to uneven resource allocation or local response delays, reducing overall operating efficiency. Existing solutions lack a real-time feedback mechanism for monitoring and adjusting operating status, and it is difficult to adjust control strategies according to real-time changes in door curtain position or pressure status, resulting in unstable operation under high pressure or high temperature conditions, increasing the risk of equipment wear or failure. The sealing performance is mostly adjusted in a static configuration, which is difficult to dynamically optimize according to changes in disaster scenarios, resulting in problems such as poor sealing or low operating efficiency, weakening the overall protection capability of the method to cope with sudden disasters, increasing the risk of building structures and personnel and property in disasters, and reducing the overall reliability and efficiency of disaster emergency response. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings existing in the prior art and to propose an intelligent control method and system for disaster response of wind-resistant and fire-proof rolling shutter doors.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: a wind-resistant fire-proof rolling shutter door disaster response intelligent control method, comprising the following steps: S1: Based on the wind speed sensor signal and temperature sensor signal of the rolling door, the wind speed difference and temperature gradient value are extracted and calculated, and the load pressure data on both sides of the door curtain are combined for classification, and compared with the rolling door node status to obtain the node disaster response priority index; S2: Based on the node disaster response priority index, jointly analyze each rolling door node priority, door curtain synchronization requirements and load adjustment benchmark, call the node response capability and status value, establish the task allocation benchmark value, and perform classification and adjustment operations to obtain the rolling door synchronization adjustment task parameter group; S3: Based on the rolling door synchronous adjustment task parameter group, the dual transmission shaft operating parameters and the lifting speed reference are analyzed, the infrared light signal is called to detect the door curtain position state, the door body contact pressure state is determined in combination with the airbag signal, the door body operating state result is obtained, and compared with the safety reference value, the transmission shaft operating power is adjusted, and the door curtain dynamic lifting control data is obtained; S4: Based on the dynamic lifting control data of the door curtain, the power output parameters of the control configuration are called to adjust the driving motor speed and output power. Combined with the contact sealing parameters of the weighted air-blocking cloth at the bottom of the door curtain and the displacement adjustment parameters of the slide sealing strips, the sealing performance data are classified and redistributed to generate a wind-resistant and fire-resistant rolling shutter door operation status control plan.

[0007] As a further solution of the present invention, the step of obtaining the node disaster response priority index is specifically as follows: S111: based on the wind speed sensor signal and the temperature sensor signal of the rolling door, extract and calculate the wind speed difference and the temperature gradient value, perform preliminary filtering on the data, remove abnormal values, calculate the average difference between the two sides of the wind speed signal, and calculate the temperature gradient value through the segmented change trend of the temperature signal, and generate a set of wind speed difference and temperature gradient values; S112: Combining the wind speed difference value and the temperature gradient value set with the load pressure data on both sides of the door curtain, a correlation analysis is performed on the three data items through matrix weighting, using the formula: ; Calculate the preliminary value of node disaster response, analyze the impact of the absolute difference between wind speed difference and temperature gradient value on response priority, and generate the classification result of disaster response; in, represents the preliminary value of node disaster response, represents the wind speed difference, represents the temperature gradient value, Represents load pressure data, are the weight coefficients of the corresponding parameters respectively; S113: Based on the classification result of the disaster response, the node disaster response preliminary value is compared with the rolling door node status data to determine the adaptability of the node status and obtain the node disaster response priority index.

[0008] As a further solution of the present invention, the step of obtaining the task allocation benchmark value is specifically as follows: S211: Based on the node disaster response priority index and the priority value of each rolling door node, the node priority value is segmented and classified according to the differentiated disaster level, the matching degree of each priority value in the target disaster scenario is analyzed, and a disaster priority classification set is obtained, and the node priority value is matched with the classification result to generate a node priority classification matching value; S212: calling the node priority classification matching value and the door curtain synchronization requirement, performing correlation analysis on the synchronization requirement and the priority matching value, calling the load adjustment reference value, and using the formula: ; The load matching adjustment value is calculated; in, Adjust the value for load matching, Classify the matching value for the node priority, is the segmented parameter value required for door curtain synchronization, is the synchronization parameter adjustment coefficient, Adjust the reference value for the load; S213: Combine the load matching adjustment value with the node response capability and status value, screen the dynamic parameters in the node response capability and status value, compare the weight distribution of the dynamic parameters with the load matching adjustment value item by item, and obtain the task allocation benchmark value.

[0009] As a further solution of the present invention, the steps for obtaining the rolling door synchronous adjustment task parameter group are specifically as follows: S221: extracting attribute parameter values ​​from the task information based on the task allocation benchmark value, classifying them according to the task parameter value range and target requirements, performing category division and grouping operations based on attribute homogeneity and value range differences, and obtaining an attribute classification index table; S222: Based on the attribute classification index table, extract the adjustment parameter range and target parameter value corresponding to each group of tasks, determine the upper and lower limits of the adjustment parameters item by item, calculate the priority in combination with the target parameter value, adjust the execution order of the tasks in the task group, and obtain the associated sorting result table; S223: Based on the association sorting result table, match the task execution sequence numbers one by one, combine the sequence number call and update the adjustment parameter value, integrate the task parameters, and obtain the rolling door synchronization adjustment task parameter group.

[0010] As a further solution of the present invention, the steps of obtaining the door body operation status result are specifically: S311: Based on the rolling door synchronous adjustment task parameter group, collect the speed, torque and running stability status of the dual transmission shafts, analyze the speed and torque weighted difference, and obtain the dual transmission shaft synchronous adjustment parameters; S312: calling the dual transmission shaft synchronous adjustment parameters and the rolling door lifting speed reference, identifying the lifting speed deviation, combining the infrared light signal detection result, analyzing the position change trend, and using the formula: ; Calculate the lifting speed error value and simultaneously analyze the operating status to generate the dynamic operating trend results of the rolling door; in, is the lifting speed error value, To detect the real-time position of the door curtain by infrared. is the target position state, is the time interval, is the speed adjustment factor, is the airbag pressure change value, is the airbag status sensitivity; S313: Combine the dynamic operation trend result of the rolling door with the pressure state value of the airbag signal detection, analyze the matching relationship between the fluctuation range of the pressure signal and the current lifting speed error, identify the dynamic operation stability parameters of the door body, and generate the door body operation state result.

[0011] As a further solution of the present invention, the steps for acquiring the dynamic lifting control data of the door curtain are specifically as follows: S321: Based on the door body operation status result, extract the door body position information and operation direction data in the time series, process them in sections by time period, analyze the speed parameters and compare them with the speed of the previous time period, mark the time period with abnormal speed change, and generate the curtain door operation status analysis result; S322: Based on the door operation status analysis result, extract the speed and power parameters of the abnormal marking interval, analyze and compare the parameters item by item, determine the deviation range of the parameter values, classify according to the deviation values, correct the abnormal parameters, and generate a power adjustment parameter set; S323: Based on the power adjustment parameter set, extract the adjusted power parameters and correction values, adjust the power output, analyze the real-time speed of the transmission shaft and record the speed change, and generate dynamic lifting control data for the door curtain in combination with the adjusted power output and speed parameters.

[0012] As a further solution of the present invention, the steps for obtaining the wind-resistant fireproof rolling shutter door operation status control solution are specifically as follows: S411: Based on the dynamic lifting control data of the door curtain, the power supply output parameters are called and the speed and power of the driving motor are adjusted, the dynamic changes of the voltage and current are monitored, and a dynamic parameter set matching the power supply and the motor is generated; S412: calling the dynamic parameter set matching the power supply and the motor, combining the contact sealing parameters of the weighted air barrier cloth and the slideway displacement adjustment parameters, monitoring the contact pressure distribution and calculating the displacement deviation, using the formula: ; Calculate the characteristic value of the door curtain sealing performance and generate the test results of the sealing performance and dynamic adjustment status; in, is the characteristic value of the door curtain sealing performance, In order to increase the contact pressure change value of the air barrier cloth, is the total contact area, is the slide adjustment coefficient, is the displacement speed of the slide seal strip, is the current displacement value of the sealing strip, is the target displacement value; S413: Based on the test results of the sealing performance and the dynamic adjustment state, and combined with the dynamic lifting and lowering control data of the door curtain, the matching degree of the parameters in the current operating state is analyzed, and the contact pressure distribution and the slide displacement deviation are correlated to generate a wind-resistant and fireproof rolling shutter door operating state control plan.

[0013] A wind-resistant fire-proof rolling shutter door disaster response intelligent control system, the wind-resistant fire-proof rolling shutter door disaster response intelligent control system is used to execute the wind-resistant fire-proof rolling shutter door disaster response intelligent control method, the system comprises: The disaster signal extraction module extracts wind speed and temperature data based on the wind speed sensor signal and temperature sensor signal of the rolling door, calculates the wind speed difference and temperature gradient, calls the load pressure data on both sides of the door curtain, compares the pressure classification results with the node operation status, performs multiple difference operations, and obtains the node disaster response priority index; The priority analysis module compares the synchronization parameters and the correlation between nodes based on the node disaster response priority index, extracts the load reference value and the node response capability data, groups the processing data and the state value, and generates a rolling door synchronization adjustment task parameter group; The task allocation module calls the infrared light signal based on the rolling door synchronous adjustment task parameter group, performs door curtain position state analysis, compares the door curtain state with the airbag signal, processes the pressure state data and the transmission shaft operating power, adjusts the operating power parameters, and obtains the door curtain dynamic lifting control data; The dynamic control module extracts the speed and output power parameters of the driving motor based on the dynamic lifting control data of the door curtain, processes the power parameters and the power output value, adjusts the contact pressure parameters of the weighted air barrier cloth at the bottom of the door curtain and the displacement parameters of the slideway sealing strip, groups and processes the slideway strip displacement data and contact pressure data to generate a sealing performance data set; Based on the sealing performance data set, the sealing performance adjustment module calls the contact pressure parameters of the weighted air barrier cloth and the displacement data of the slideway sealing wool strip, extracts the adjusted displacement data for classification processing, combines the contact pressure parameters for item-by-item verification, adjusts and optimizes the sealing performance parameter group, and generates a wind-resistant and fireproof rolling shutter door operation status control plan.

[0014] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by extracting the wind speed sensor and temperature sensor signals to calculate the wind speed difference and the temperature gradient value, the priority of the disaster response can be accurately obtained, and the accuracy and pertinence of the response strategy can be improved. The priority index is combined with the synchronization of the rolling door node and the load adjustment benchmark, and the node tasks are allocated and adjusted to ensure efficient coordination of tasks between multiple nodes and improve the overall disaster resistance capability. By analyzing the operating parameters of the dual drive shafts and the lifting speed benchmark, combined with infrared signal detection and airbag feedback of the door body pressure state, real-time and accurate control of the rolling door operation state is achieved, and the drive shaft power is adjusted by comparing with the safety benchmark value to improve the adaptability and stability of dynamic control. The output power adjustment of the drive motor based on the dynamic lifting control data and the classification and optimization of the sealing parameters at the bottom of the door curtain can achieve a more accurate sealing performance configuration, so that the rolling door can achieve an efficient balance between operation and sealing performance in the face of strong winds and high temperatures, effectively improve the wind and fire resistance and reduce the property and personnel losses caused by disasters, enhance the autonomous response capability, operation stability and safety protection effect, and provide more efficient intelligent control support for rolling door disaster response. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the workflow of the present invention; Figure 2 A flowchart of the node disaster response priority index in the present invention; Figure 3 A flow chart for assigning benchmark values ​​to tasks in the present invention; Figure 4 It is a flow chart of the rolling door synchronous adjustment task parameter group in the present invention; Figure 5 It is a flow chart of the door body operation status result in the present invention; Figure 6 It is a flow chart of the dynamic lifting control data of the door curtain in the present invention; Figure 7The present invention is a flow chart of the wind-resistant and fire-resistant rolling shutter door operation status control scheme. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0017] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0018] Example: See Figure 1 The present invention provides a technical solution: an intelligent control method for disaster response of wind-resistant and fire-proof rolling shutter doors, comprising the following steps: S1: Based on the wind speed sensor signal and temperature sensor signal of the rolling door, the wind speed difference and temperature gradient value are extracted and calculated, and the load pressure data on both sides of the door curtain are combined for classification, and compared with the rolling door node status to obtain the node disaster response priority index; S2: Based on the node disaster response priority index, jointly analyze the node priority of each rolling door, the door curtain synchronization requirements and the load adjustment benchmark, call the node response capability and status value, establish the task allocation benchmark value, and perform classification and adjustment operations to obtain the rolling door synchronization adjustment task parameter group; S3: Based on the rolling door synchronous adjustment task parameter group, analyze the dual drive shaft operating parameters and lifting speed benchmark, call the infrared light signal to detect the door curtain position state, combine the airbag signal to determine the door body contact pressure state, obtain the door body operation state result, and compare it with the safety benchmark value, adjust the drive shaft operating power, and obtain the door curtain dynamic lifting control data; S4: Based on the dynamic lifting control data of the door curtain, the power output parameters of the control configuration are called to adjust the speed and output power of the driving motor. Combined with the contact sealing parameters of the weighted air-blocking cloth at the bottom of the door curtain and the displacement adjustment parameters of the slide sealing strip, the sealing performance data is classified and redistributed to generate a wind-resistant and fire-resistant rolling shutter door operation status control plan.

[0019] Node disaster response priority indicators include wind speed difference, temperature gradient value, load pressure data and node status. Task allocation benchmark values ​​include node priority, door curtain synchronization requirements, load adjustment benchmark and node response capability. Rolling shutter door synchronization adjustment task parameter group includes drive shaft operating parameters, lifting speed benchmark, door curtain position status and contact pressure status. Door body operating status results include position status, contact pressure status, operating power and detection signal results. Door curtain dynamic lifting control data includes power supply output parameters, drive motor speed, output power and drive shaft operating power. Wind-resistant and fire-proof rolling shutter door operating status control scheme includes weighted air-isolating cloth sealing parameters, slide strip displacement parameters and sealing performance data.

[0020] See also Figure 2 ,The specific steps for obtaining the node disaster response priority index are: S111: based on the wind speed sensor signal and the temperature sensor signal of the rolling door, extract and calculate the wind speed difference and the temperature gradient value, perform preliminary filtering on the data, remove abnormal values, calculate the average difference between the two sides of the wind speed signal, and calculate the temperature gradient value through the segmented change trend of the temperature signal, and generate a set of wind speed difference and temperature gradient values; The collected wind speed and temperature signal data are preliminarily processed, including checking the integrity and continuity of the signal data, eliminating abnormal signals by setting a threshold range to ensure the stability of the input data, performing partition statistics on the left and right side signals of the wind speed and temperature data, and using the data segment difference calculation to perform a difference operation on the average values ​​of the two sides of the wind speed signal to obtain the wind speed difference; in the temperature signal processing process, combined with the segmented trend fitting of the time interval, the temperature gradient value is calculated by analyzing the temperature change rate of each period, and smoothing is used to eliminate the interference of short-term fluctuations on the gradient value calculation. In the whole process, the abnormal signal points are eliminated and the relevant parameters are recalculated. The elimination basis includes sudden changes in the collected values, continuous unstable fluctuation signals or values ​​that deviate significantly from the trend changes. After the elimination is completed, the average difference is re-counted and the final result is calculated to generate a set of wind speed difference and temperature gradient values ​​for subsequent calculations and correlation analysis.

[0021] S112: Combine the wind speed difference and temperature gradient value set with the load pressure data on both sides of the door curtain, and perform correlation analysis on the three data through matrix weighting, using the formula: ; Calculate the preliminary value of node disaster response, analyze the impact of the absolute difference between wind speed difference and temperature gradient value on response priority, and generate the classification result of disaster response; in, represents the preliminary value of node disaster response, represents the wind speed difference, represents the temperature gradient value, Represents load pressure data, are the weight coefficients of the corresponding parameters respectively; The benefit of the formula is that it can reflect the comprehensive influencing factors of the node in a disaster environment by combining the wind speed difference, temperature gradient value and load pressure data according to the set weight through comprehensive multi-parameter calculation, and dynamically adapt the calculation results to different environmental conditions through reasonable weight distribution; Wind speed difference : Calculate the average value of the collected wind speed data on the left and right sides. The wind speed on the left is 12m / s and the wind speed on the right is 10m / s. m / s; Temperature gradient value : Calculate the change rate of the left and right sides by combining the trend line of the temperature data fitting. The temperature change rate on the left side is 0.8℃ / min, and the temperature change rate on the right side is 0.6℃ / min. °C / min; Load pressure data : Directly take the pressure difference between the left and right sides. The pressure on the left side is 20N and the pressure on the right side is 15N. N; Substitute into the formula: Assuming the weight parameter , , ; calculate: ; The results show that the preliminary value of the node disaster response is 2.36. This score reflects the combined influence of wind speed, temperature and load pressure. It can be used as a reference for subsequent disaster responses and to guide dynamic scheduling strategies.

[0022] S113: Based on the classification result of the disaster response, the node disaster response preliminary value is compared with the rolling door node state data to determine the adaptability of the node state and obtain the node disaster response priority index; By matching the attribution classification value with the rolling door node state parameters one by one, comparing the dynamic variables of the node state with the disaster response characteristic parameters one by one, performing difference operations and statistically analyzing the compliance indicators, it is determined whether the current node state meets the disaster response conditions, and further evaluating the comprehensive adaptability of each node state variable in disaster response. In the calculation of the response priority value, the magnitude relationship of the classification priority value is used to divide the different level marks in the state variable, and the high priority state is screened by segmented judgment. The comprehensive priority value is calculated by weight accumulation. The marks of the node state variables include temperature change rate, wind speed change rate, load pressure value, etc. The current attribution classification value is matched through segmented classification and dynamic update of node status. Finally, the node status is combined with the attribution classification value to calculate the disaster response priority index, and this value is used as the main basis for subsequent scheduling.

[0023] See also Figure 3 ,The specific steps for obtaining the task allocation benchmark value are: S211: Based on the node disaster response priority index and the priority value of each rolling door node, the node priority value is segmented and classified according to the differentiated disaster level, the matching degree of each priority value in the target disaster scenario is analyzed, and a disaster priority classification set is obtained, and the node priority value is matched with the classification result to generate a node priority classification matching value; First, it is necessary to collect the priority values ​​of all nodes, and organize and preprocess the collected values, including cleaning abnormal data and normalizing them to ensure that data from different nodes have consistent dimensions. Then, set the priority segmentation thresholds under different disaster levels, such as mild, moderate, and severe levels, and classify the priority of each node according to the threshold range, and dynamically adjust the range of the segmentation threshold. After completing the segmentation classification, it is necessary to establish a priority classification set, summarize the priority value of each node after classification according to the disaster level, and filter the priority value of each node in the set. During the screening process, it is necessary to dynamically match the actual operating status of the node with the classification set. The dynamic matching is determined by setting the error judgment range and the correlation calculation function, such as using weighted comparison to calculate the degree of adaptation. According to the classification set and the calculation results, the priority value of each node is combined with the classification adaptation result to generate a node priority classification matching value.

[0024] S212: Call the node priority classification matching value and the door curtain synchronization requirement, perform correlation analysis on the synchronization requirement and the priority matching value, call the load adjustment reference value, and use the formula: ; The load matching adjustment value is calculated; in, Adjust the value for load matching, Classify the matching value for the node priority, is the segmented parameter value required for door curtain synchronization, is the synchronization parameter adjustment coefficient, Adjust the reference value for the load; The formula is beneficial in that it quantitatively associates load adjustment with priority matching by combining square root and fraction operations, and dynamically balances the synchronization requirements and load demands between different nodes by introducing synchronization parameter adjustment coefficients; Node priority classification matching value : Obtained in the first step, the node matching value is a dynamically calculated result, for example, 80; Curtain synchronization requirements segment parameter values :Acquired through synchronous error detection between each node of the rolling door. For example, if the running deviation between the rolling doors is 2%, then ; Synchronicity parameter adjustment coefficient :Acquired based on the load deviation between nodes. For example, if the load deviation is 1.5, the corresponding ; Load adjustment reference value : Obtained from the load sensor, for example, if the sensor output is 100N, then ; Substituting into the formula: ; ; ; The result shows that the load matching adjustment value is 161.24. The dynamic calculation of priority classification matching value, synchronization requirements and load adjustment benchmark is combined to ensure that the task allocation benchmark value can accurately reflect the comprehensive relationship between multiple parameters and provide data support for subsequent task allocation.

[0025] S213: combining the load matching adjustment value with the node response capability and the state value, screening the dynamic parameters in the node response capability and the state value, comparing the weight distribution of the dynamic parameters with the load matching adjustment value item by item, and obtaining the task allocation benchmark value; By extracting the dynamic parameters in the node response capability, a parameter characteristic distribution table is established, including the response delay rate, load stability value and dynamic change rate. The dynamic parameters are associated with the load matching adjustment value for calculation. Specifically, each dynamic parameter needs to be normalized to ensure the consistency of the calculation. The normalized processing range is set between 0 and 1, and the parameters are compared one by one according to the weight setting. During the comparison process, the error range of the delay rate of the node response capability is calculated, and the dynamic change rate is adapted by setting the relative weight. Combined with the characteristic distribution table of the node dynamic parameters, the adaptability of the load matching adjustment value is weighted and compared and analyzed one by one, and finally a comprehensive weight value is formed. In the calculation process of the weight value, dynamic adjustment parameters need to be introduced. According to the node's operating load deviation value and dynamic change trend, the adaptability between the weight value and the node response capability is gradually optimized. The weight calculation results of each parameter are summarized, and the comprehensive task allocation value is generated in combination with the error calculation function, and the task allocation benchmark value is generated in the last step.

[0026] See also Figure 4 , the specific steps for obtaining the rolling shutter door synchronous adjustment task parameter group are as follows: S221: extracting attribute parameter values ​​from the task information based on the task allocation benchmark value, classifying them according to the task parameter value range and target requirements, performing category division and grouping operations based on attribute homogeneity and value range differences, and obtaining an attribute classification index table; For the disaster response intelligent control of wind-resistant and fire-proof rolling shutter doors, the extracted attribute parameters include wind pressure intensity, flame temperature, door position status and real-time execution status. According to the similarity and numerical range differences of the attribute parameters, the tasks are classified and grouped, and different interval range values ​​are set for wind pressure intensity and flame temperature respectively. All parameters in the task information are classified according to the wind bearing capacity and fire resistance of the rolling shutter door. For example, the wind pressure parameters are divided into three categories: low wind pressure, medium wind pressure and high wind pressure, and the flame temperature is divided into three categories: normal, warning and dangerous. At the same time, combined with the door position status, it is judged whether the door is fully open, half open or completely closed. The attribute classification index table is established through the above division to ensure that the attribute parameters in the task information can be marked with their corresponding categories in a structured form, providing basic data support for priority processing and grouping adjustment in subsequent intelligent control.

[0027] S222: Based on the attribute classification index table, extract the adjustment parameter range and target parameter value corresponding to each group of tasks, determine the upper and lower limits of the adjustment parameters item by item, calculate the priority in combination with the target parameter value, adjust the execution order of the tasks in the task group, and obtain the associated sorting result table; According to the parameter requirements of different types of tasks in the rolling shutter door disaster response, the upper and lower limits of the adjustment parameters are determined item by item. For the wind pressure parameters, the specific adjustment range of the wind resistance mode is set by comparing the adjustment parameter range with the door body bearing capacity. For example, under medium wind pressure conditions, the corresponding door body adjustment range needs to be controlled between 70% and 90% of the wind pressure bearing critical value. For the flame temperature parameters, the real-time response range of the target parameter value is set. For example, under dangerous flame temperature conditions, the fire protection function module is activated first, and the adjustment parameter range is adjusted to below the door body fire resistance critical value through real-time monitoring. Combined with the target parameter value of each task group, the execution priority of each task group is calculated item by item. The task group mainly focusing on wind protection completes the adjustment before the fire protection task group. The task execution order in all task groups is adjusted to ensure that the wind pressure influence is controlled first in complex disaster scenarios, and then the flame temperature response is gradually intervened, so as to obtain the associated sorting result table.

[0028] S223: Based on the association sorting result table, the task execution sequence numbers are matched item by item, the adjustment parameter values ​​are called and updated in combination with the sequence numbers, the task parameters are integrated, and the rolling door synchronization adjustment task parameter group is obtained; According to the task classification results of rolling shutter door disaster response, the adjustment is performed starting from the task group with the highest ranking priority. For the wind pressure adjustment tasks with higher priority, the adjustment parameters are called according to the wind pressure bearing capacity range, and the wind-resistant structural state of the door body is gradually adjusted to ensure that the door body remains stable in the wind pressure changes. After completing the wind pressure adjustment, the serial number of the flame temperature adjustment task is matched, and the parameters of the fire protection module are called to control the surface temperature of the refractory material of the door body in real time, and reduce the temperature fluctuation amplitude of the key parts of the door body through synchronous adjustment. Combined with the synchronous execution results of the two types of tasks, wind pressure and flame temperature, the overall parameters of the door body are integrated, and a rolling shutter door synchronous adjustment task parameter group is generated to provide comprehensive support for subsequent disaster response operations and ensure that the rolling shutter door can achieve the coordinated response goals of wind resistance and fire protection in complex disaster environments.

[0029] See also Figure 5 , the specific steps for obtaining the door operation status result are: S311: Based on the rolling door synchronous adjustment task parameter group, the speed, torque and running stability of the dual transmission shafts are collected, the speed and torque weighted difference are analyzed, and the dual transmission shaft synchronous adjustment parameters are obtained; The operating parameters of the dual transmission shafts are collected, and the real-time speed and torque signals of the two transmission shafts are obtained through the speed sensor and the torque sensor respectively. The collected signals are divided into continuous data segments in chronological order, and abnormal points in the operation process, such as speed jump or instantaneous fluctuation value, are eliminated. Then, the segmented mean calculation is performed on each segment of data, and the average speed and average torque of the transmission shafts on both sides are obtained respectively. In order to further analyze the synchronization between the two transmission shafts, the speed difference of the two shafts is calculated. The speed difference is obtained by directly subtracting the mean values ​​on both sides. At the same time, the torque difference is weighted. The weight parameter is dynamically adjusted by the load proportion of each shaft in the running state. The speed difference and the torque weighted difference are calculated by linear superposition to obtain the dual transmission shaft synchronization error value. On the basis of the obtained synchronization error value, combined with the benchmark synchronization requirement of the rolling door operation, the current error value is segmented and classified. By comparing the error value with the threshold of the benchmark synchronization requirement, the current synchronization state of the dual transmission shaft is determined, and the dual transmission shaft synchronization adjustment parameter is obtained.

[0030] S312: Call the dual transmission shaft synchronous adjustment parameters and the rolling door lifting speed benchmark to identify the lifting speed deviation, combine the infrared light signal detection results, analyze the position change trend, and use the formula: ; Calculate the lifting speed error value and simultaneously analyze the operating status to generate the dynamic operating trend results of the rolling door; in, is the lifting speed error value, To detect the real-time position of the door curtain by infrared. is the target position state, is the time interval, is the speed adjustment factor, is the airbag pressure change value, is the airbag status sensitivity; The formula is beneficial in that it combines multiple dynamic parameters such as real-time position deviation, time interval, and airbag pressure change, and associates the lifting speed error with the operating state. Improved the formula's adaptability to different time periods and load changes; Real-time location :The current position of the door curtain is obtained through infrared signal detection. The signal is extracted by the detection module in time segments and interference points are removed. For example, the current detected position of the door curtain is 1.5m; Target location : The target height value is set through the control task parameter setting of the rolling door, for example, it is set to 2.0m; Time interval :Determined by the acquisition frequency of the running task parameters. For example, if the detection frequency is 2Hz, the time interval is 0.5s; Airbag pressure change value :The dynamic change value of pressure detected by the pressure sensor, first calculate the pressure change of each section by the segmented average method, for example, the current change is 5N; Sensitivity : Obtained according to the trigger sensitivity parameter of the airbag, for example, 0.8; Speed ​​adjustment factor : Set according to the influence range of synchronization error in the current rolling door operation state, for example, the current setting is 1.2; Substituting into the formula: ; ; ; The result shows that the deviation value of the rolling door lifting speed is 8.5, which represents the comprehensive influence between the current real-time position, target position and airbag pressure change. This value can be used as an important reference for operation status analysis and subsequent dynamic adjustment.

[0031] S313: combining the dynamic operation trend result of the rolling door and the pressure state value of the airbag signal detection, analyzing the matching relationship between the fluctuation range of the pressure signal and the current lifting speed error, identifying the dynamic operation stability parameters of the door body, and generating the door body operation state result; Firstly, the pressure signal data of the airbag is collected in real time, and the collected pressure signal is segmented according to time and each segment is subjected to abnormal elimination. For example, after eliminating noise points and excessive jump values, segmented smoothing is performed to eliminate short-term fluctuations. According to the smoothed pressure change curve, the pressure fluctuation range in each time period is calculated, and the peak and valley values ​​of each pressure change are recorded to form the pressure fluctuation characteristics. Then, the calculated pressure fluctuation range is matched with the current lifting speed error value of the rolling door one by one. The fitness between the pressure fluctuation signal and the speed error signal is calculated through correlation analysis. The fitness calculation is based on the matching degree of the characteristic values ​​of the two signals. The characteristic values ​​include the mean and range of the fluctuation. On the basis of completing the pressure and speed matching, the real-time position and operation stability parameters in the dynamic operation trend of the rolling door are combined to calculate the comprehensive state characteristics of the current door body during operation. According to the operation stability characteristics, a set of operation state parameters including pressure fluctuation weight, lifting speed error and dynamic operation trend are obtained, and finally the door body operation state result is output.

[0032] See also Figure 6 The specific steps for obtaining the dynamic lifting control data of the door curtain are as follows: S321: Based on the door body operation status result, extract the door body position information and operation direction data in the time series, process them in sections by time period, analyze the speed parameters and compare them with the speed of the previous time period, mark the time period with abnormal speed change, and generate the curtain door operation status analysis result; For the disaster response intelligent control of wind-resistant and fire-proof rolling shutter doors, the position coordinates and running direction of the door body at different time points are continuously monitored, the data in the time series are segmented, and multiple processing intervals are divided according to equally spaced time periods or event-triggered time periods. The running speed of the door body in each time period is analyzed, and the speed parameters are obtained by calculating the ratio of the door body displacement to time. The speed parameters of the current time period are compared with the speed values ​​of the previous time period to identify the changes in the speed increment. If the speed increment exceeds the preset abnormal threshold range, it is marked as an abnormal speed change time period. For the marked abnormal time period, further analysis is performed to determine whether it is caused by wind pressure fluctuations, door body obstruction or abnormal performance of the transmission device. The running direction and position information of the corresponding time period are recorded while marking, thereby generating the analysis results of the shutter door operation status, providing a reliable basis for subsequent dynamic adjustment and fault correction.

[0033] S322: Based on the door operation status analysis result, extract the speed and power parameters of the abnormal marking interval, analyze and compare the parameters item by item, determine the deviation range of the parameter value, classify according to the deviation value, correct the abnormal parameters, and generate a power adjustment parameter set; By extracting speed data and corresponding power parameters from the abnormal time period, combined with the wind resistance and fire resistance requirements of the door body, the speed deviation and power deviation range are calculated item by item, and the correlation between the two is determined. For the case where the speed deviation exceeds the normal range but the power parameter is stable, the abnormality is analyzed to be caused by external resistance. If the power parameter fluctuates but the speed deviation is small, the power output of the transmission system is unstable. According to the size of the deviation value, the abnormality is divided into three levels: slight, moderate and severe, and the abnormal parameters are adjusted through correction strategies. For example, for slight abnormal speed deviation, compensation is made by slightly increasing the power output. For moderate or severe deviations, according to the correlation between power and speed parameters, a certain correction value is set to balance the speed change trend and power fluctuation, thereby generating a power adjustment parameter set to ensure the stability and continuity of the door body in disaster response.

[0034] S323: based on the power adjustment parameter set, extract the adjusted power parameter and the correction value, adjust the power output, analyze the real-time speed of the transmission shaft and record the speed change, and generate the dynamic lifting and lowering control data of the door curtain by combining the adjusted power output and speed parameters; According to the correction value in the generated power adjustment parameter set, the power output range is gradually optimized to ensure that the power output does not exceed the load capacity of the transmission device while meeting the door operation requirements. The speed changes of the drive shaft are monitored in real time, and the speed fluctuation amplitude of each adjustment cycle is recorded. At the same time, it is analyzed whether the speed changes are consistent with the adjusted power output. For deviations in adjustments, the power correction value is dynamically adjusted to optimize the transmission efficiency. Combined with the adjusted power parameters and drive shaft speed, the correction results are integrated into the dynamic lifting control data of the door curtain to ensure that the door body can quickly respond to changes in wind pressure and flames during disaster response, maintain accuracy and safety of operation, and ultimately achieve stability and anti-interference capabilities during the dynamic lifting process of the rolling door.

[0035] See also Figure 7 , the specific steps for obtaining the wind-resistant fire-proof rolling shutter door operation status control scheme are: S411: Based on the dynamic lifting control data of the door curtain, the power supply output parameters are called and the speed and power of the driving motor are adjusted, the dynamic changes of voltage and current are monitored, and a dynamic parameter set matching the power supply and the motor is generated; Call the power output parameters in the control configuration, first collect the real-time voltage, current and power output signals of the drive motor, organize the power data in each time period, and screen the collected signals in segments, eliminate abnormal current fluctuations and instantaneous overload voltage to ensure the accuracy of subsequent calculations, then calculate the average value of each segment of power data, and extract the correlation characteristic value between power output and the operating speed of the drive motor by segment fitting the dynamic change curve of the power output, analyze the fluctuation range of the motor speed and the power matching state, and further extract the dynamic range of the motor speed adjustment by comparing the speed stability characteristic value and the time distribution state of the power output. Comprehensively analyze the dynamic range of the motor speed and the best matching range of the power output, and generate a dynamic parameter set for matching the power supply and the motor in combination with the real-time adjustment of the power output parameters to provide support for subsequent sealing parameter calculation and operation control.

[0036] S412: Call the dynamic parameter set that matches the power supply and the motor, combine the weighted air barrier contact sealing parameters and the slideway displacement adjustment parameters, monitor the contact pressure distribution and calculate the displacement deviation, using the formula: ; Calculate the characteristic value of the door curtain sealing performance and generate the test results of the sealing performance and dynamic adjustment status; in, is the characteristic value of the door curtain sealing performance, In order to increase the contact pressure change value of the air barrier cloth, is the total contact area, is the slide adjustment coefficient, is the displacement speed of the slide seal strip, is the current displacement value of the sealing strip, is the target displacement value; The formula is beneficial in that it calculates the multi-dimensional comprehensive characteristic value of the curtain sealing performance by comprehensively considering the pressure change of the weighted air barrier and the dynamic characteristics of the displacement of the slideway sealing strip, and introduces the speed adjustment coefficient , can adapt to the changes in pressure and displacement under different dynamic states, and improve the accuracy and applicability of the results; Change value of contact pressure of weighted air barrier cloth : The pressure sensor collects the pressure data of the weighted air barrier at the bottom of the door curtain in real time, and averages the pressure change in each period of time. For example, the current detected pressure change is 10N; Total contact area : Determined according to the geometric dimensions of the bottom end of the door curtain and the contact surface, for example, the area is 0.5m2 through measurement; Slide adjustment factor : Through the adjustment efficiency setting of the slideway sealing strip, the adjustment ratio is calculated according to the speed and accuracy of the slideway strip operation. For example, the current adjustment coefficient is 1.2; Slide seal strip displacement speed :Measure the dynamic displacement change of the sealing strip through the displacement sensor, for example, the current speed is 0.03m / s; Current seal strip displacement value :The current displacement of the sealing strip is detected in real time by the sensor, for example, the current displacement value is 2.0mm; Target displacement value : Set according to the sealing performance design requirements, for example, the target displacement value is 2.5mm.

[0037] Substituting into the formula: ; ; ; The results show that the characteristic value of the door curtain sealing performance is 20.072, which is calculated through multiple factors such as pressure change, contact area, displacement speed and adjustment coefficient. It represents the overall performance level of the current sealing state and serves as the basis for subsequent optimization and adjustment.

[0038] S413: Based on the test results of sealing performance and dynamic adjustment state, combined with the dynamic lifting control data of the door curtain, the matching degree of the parameters in the current operation state is analyzed, the contact pressure distribution and the slide displacement deviation are correlated, and the wind-resistant and fire-resistant rolling shutter door operation state control scheme is generated; Firstly, the pressure change and displacement adjustment data in the comprehensive characteristic value of sealing performance are extracted, and the distribution range of current pressure is matched with the dynamic lifting data one by one. The fluctuation range and trend of the pressure change curve are calculated in real time to extract the mean, fluctuation range and maximum pressure peak of the dynamic pressure change. Then, the dynamic characteristics of the displacement deviation are analyzed by combining the adjustment data of the slideway sealing strip. The dynamic range of displacement adjustment is calculated by extracting the difference between the actual position and the target position of the sealing strip displacement. In the matching process, the correlation between the weight coefficient of pressure change and the dynamic deviation of displacement is calculated to compare the fitness of pressure data and displacement data in sealing performance. The fitness is used as the intermediate variable to associate the sealing state with the lifting control data. The pressure change characteristics, displacement adjustment characteristics and dynamic data of door curtain lifting control are integrated to comprehensively calculate the weight distribution of each dynamic parameter. Combined with the matching relationship of the current operating state, the operating state control scheme of wind-resistant and fireproof rolling shutter doors is generated.

[0039] The wind-resistant fire-proof rolling shutter door disaster response intelligent control system is used to execute the above-mentioned wind-resistant fire-proof rolling shutter door disaster response intelligent control method, and the system includes: The disaster signal extraction module extracts wind speed and temperature data based on the wind speed sensor signal and temperature sensor signal of the rolling door, calculates the wind speed difference and temperature gradient, calls the load pressure data on both sides of the door curtain, compares the pressure classification results with the node operation status, performs multiple difference operations, and obtains the node disaster response priority index; The priority analysis module compares the synchronization parameters and the correlation between nodes based on the node disaster response priority index, extracts the load benchmark value and node response capability data, groups the processing data and status values, and generates the rolling door synchronization adjustment task parameter group; The task allocation module uses the infrared light signal to analyze the door curtain position status based on the rolling door synchronous adjustment task parameter group, compares the door curtain status with the airbag signal, processes the pressure status data and the transmission shaft operating power, adjusts the operating power parameters, and obtains the dynamic lifting and lowering control data of the door curtain; Based on the dynamic lifting control data of the door curtain, the dynamic control module extracts the speed and output power parameters of the driving motor, processes the power parameters and power output values, adjusts the contact pressure parameters of the weighted air barrier cloth at the bottom of the door curtain and the displacement parameters of the slideway sealing strips, groups the slideway strip displacement data and contact pressure data, and generates a sealing performance data set; Based on the sealing performance data set, the sealing performance adjustment module calls the contact pressure parameters of the weighted air barrier cloth and the displacement data of the slideway sealing wool strips, extracts the adjusted displacement data for classification processing, combines the contact pressure parameters to check each item, adjusts and optimizes the sealing performance parameter group, and generates a wind-resistant and fire-resistant rolling shutter door operation status control plan.

[0040] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A wind-resistant and fire-resistant rolling shutter door disaster response intelligent control method, characterized in that: The following steps are involved: Based on the wind speed sensor signal and temperature sensor signal of the rolling door, the wind speed difference and temperature gradient value are extracted and calculated, and the load pressure data on both sides of the door curtain are combined for classification, and compared with the node status of the rolling door to obtain the node disaster response priority index; Based on the node disaster response priority index, jointly analyze each rolling door node priority, door curtain synchronization requirements and load adjustment benchmark, call the node response capability and status value, establish the task allocation benchmark value, and perform classification and adjustment operations to obtain the rolling door synchronization adjustment task parameter group; Based on the rolling door synchronous adjustment task parameter group, the dual drive shaft operating parameters and lifting speed benchmark are analyzed, the infrared light signal is called to detect the door curtain position state, the airbag signal is combined to determine the door body contact pressure state, the door body operating state result is obtained, and compared with the safety benchmark value, the drive shaft operating power is adjusted, and the door curtain dynamic lifting control data is obtained; Based on the dynamic lifting control data of the door curtain, the power output parameters of the control configuration are called to adjust the driving motor speed and output power. Combined with the contact sealing parameters of the weighted air-blocking cloth at the bottom of the door curtain and the displacement adjustment parameters of the slide sealing strips, the sealing performance data are classified and redistributed to generate a wind-resistant and fire-proof rolling shutter door operation status control plan.

2. The wind-resistant and fire-resistant rolling shutter door disaster response intelligent control method according to claim 1 is characterized in that: The steps for obtaining the node disaster response priority index are specifically as follows: Based on the wind speed sensor signal and temperature sensor signal of the rolling door, the wind speed difference and temperature gradient value are extracted and calculated, the data are preliminarily filtered to remove abnormal values, the average difference between the two sides of the wind speed signal is calculated, and the temperature gradient value is calculated through the segmented change trend of the temperature signal to generate a set of wind speed difference and temperature gradient values; Combining the wind speed difference and temperature gradient value set with the load pressure data on both sides of the door curtain, the three data are analyzed for correlation by matrix weighting, using the formula: ； Calculate the preliminary value of node disaster response, analyze the impact of the absolute difference between wind speed difference and temperature gradient value on response priority, and generate the classification result of disaster response; in, represents the preliminary value of node disaster response, represents the wind speed difference, represents the temperature gradient value, Represents load pressure data, are the weight coefficients of the corresponding parameters respectively; Based on the classification result of the disaster response, the preliminary value of the node disaster response is compared with the rolling door node status data to judge the adaptability of the node status and obtain the node disaster response priority index.

3. The wind-resistant and fire-resistant rolling shutter door disaster response intelligent control method according to claim 2 is characterized in that: The steps for obtaining the task allocation benchmark value are specifically as follows: Based on the node disaster response priority index and the priority value of each rolling door node, the node priority value is segmented and classified according to the differentiated disaster level, the matching degree of each priority value in the target disaster scenario is analyzed, and a disaster priority classification set is obtained. The node priority value is matched with the classification result to generate a node priority classification matching value; The node priority classification matching value and the door curtain synchronization requirement are called, the synchronization requirement and the priority matching value are correlated and analyzed, and the load adjustment reference value is called, using the formula: ； The load matching adjustment value is calculated; in, Adjust the value for load matching, Classify the matching value for the node priority, is the segmented parameter value required for door curtain synchronization, is the synchronization parameter adjustment coefficient, Adjust the reference value for the load; In combination with the load matching adjustment value and the node response capability and status value, the dynamic parameters in the node response capability and status value are screened, and the weight distribution of the dynamic parameters is compared with the load matching adjustment value item by item to obtain the task allocation benchmark value.

4. The wind-resistant and fire-resistant rolling shutter door disaster response intelligent control method according to claim 3 is characterized in that: The steps for obtaining the rolling door synchronous adjustment task parameter group are specifically as follows: Based on the task allocation benchmark value, extract the attribute parameter values ​​in the task information, classify them according to the task parameter value range and target requirements, and perform category division and grouping operations based on the attribute homogeneity and value range differences to obtain an attribute classification index table; Based on the attribute classification index table, the adjustment parameter range and target parameter value corresponding to each group of tasks are extracted, the upper and lower limits of the adjustment parameters are determined item by item, the priority is calculated in combination with the target parameter value, the execution order of the task group tasks is adjusted, and the associated sorting result table is obtained; Based on the association sorting result table, the task execution sequence numbers are matched item by item, the adjustment parameter values ​​are updated in combination with the sequence number calls, the task parameters are integrated, and the rolling door synchronization adjustment task parameter group is obtained.

5. The intelligent control method for disaster response of wind-resistant and fire-resistant rolling shutter doors according to claim 4 is characterized in that: The steps for obtaining the door body operation status result are specifically as follows: Based on the rolling door synchronous adjustment task parameter group, the speed, torque and running stability of the dual transmission shafts are collected, the speed and torque weighted difference are analyzed, and the dual transmission shaft synchronous adjustment parameters are obtained; The dual transmission shaft synchronization adjustment parameters and the rolling door lifting speed benchmark are called to identify the deviation of the lifting speed. Combined with the infrared light signal detection results, the position change trend is analyzed and the formula is used: ； Calculate the lifting speed error value and simultaneously analyze the operating status to generate the dynamic operating trend results of the rolling door; in, is the lifting speed error value, To detect the real-time position of the door curtain by infrared. is the target position state, is the time interval, is the speed adjustment factor, is the airbag pressure change value, is the airbag status sensitivity; Combined with the dynamic operation trend results of the rolling door and the pressure state value of the airbag signal detection, the matching relationship between the fluctuation range of the pressure signal and the current lifting speed error is analyzed, the dynamic operation stability parameters of the door body are identified, and the door body operation state results are generated.

6. The intelligent control method for disaster response of wind-resistant and fire-resistant rolling shutter doors according to claim 5 is characterized in that: The steps for acquiring the dynamic lifting control data of the door curtain are specifically as follows: Based on the door body operation status result, extract the door body position information and operation direction data in the time series, process them in sections by time period, analyze the speed parameters and compare them with the speed of the previous time period, mark the time period with abnormal speed change, and generate the curtain door operation status analysis result; Based on the door body operation status result, the speed and power parameters of the abnormal marking interval are extracted, the parameters are analyzed and compared item by item, the deviation range of the parameter values ​​is determined, the deviation values ​​are classified, and the abnormal parameters are corrected to generate a power adjustment parameter set; Based on the power adjustment parameter set, the adjusted power parameters and correction values ​​are extracted, the power output is adjusted, the real-time speed of the transmission shaft is analyzed and the speed change is recorded, and the dynamic lifting control data of the door curtain is generated by combining the adjusted power output and speed parameters.

7. The intelligent control method for disaster response of wind-resistant and fire-resistant rolling shutter doors according to claim 6 is characterized in that: The steps for obtaining the wind-resistant fireproof rolling shutter door operation status control scheme are specifically as follows: Based on the dynamic lifting and lowering control data of the door curtain, the power supply output parameters are called and the speed and power of the driving motor are adjusted, the dynamic changes of voltage and current are monitored, and a dynamic parameter set matching the power supply and the motor is generated; The dynamic parameter set matching the power supply and the motor is called, and the contact sealing parameters of the weighted air barrier cloth and the slide displacement adjustment parameters are combined to monitor the contact pressure distribution and calculate the displacement deviation, using the formula: ； Calculate the characteristic value of the door curtain sealing performance and generate the test results of the sealing performance and dynamic adjustment status; in, is the characteristic value of the door curtain sealing performance, In order to increase the contact pressure change value of the air barrier cloth, is the total contact area, is the slide adjustment coefficient, is the displacement speed of the slide seal strip, is the current displacement value of the sealing strip, is the target displacement value; Based on the test results of the sealing performance and dynamic adjustment state, and combined with the dynamic lifting control data of the door curtain, the matching degree of the parameters in the current operating state is analyzed, the contact pressure distribution and the slide displacement deviation are correlated, and the wind-resistant and fire-proof rolling shutter door operating state control plan is generated.

8. An intelligent control system for disaster response of wind-resistant and fire-proof rolling shutter doors, characterized in that: The method for intelligently controlling wind-resistant and fire-resistant rolling shutter doors for disaster response according to any one of claims 1 to 7 is implemented, wherein the system comprises: The disaster signal extraction module extracts wind speed and temperature data based on the wind speed sensor signal and temperature sensor signal of the rolling door, calculates the wind speed difference and temperature gradient, calls the load pressure data on both sides of the door curtain, compares the pressure classification results with the node operation status, performs multiple difference operations, and obtains the node disaster response priority index; The priority analysis module compares the synchronization parameters and the correlation between nodes based on the node disaster response priority index, extracts the load reference value and the node response capability data, groups the processing data and the state value, and generates a rolling door synchronization adjustment task parameter group; The task allocation module calls the infrared light signal based on the rolling door synchronous adjustment task parameter group, performs door curtain position state analysis, compares the door curtain state with the airbag signal, processes the pressure state data and the transmission shaft operating power, adjusts the operating power parameters, and obtains the door curtain dynamic lifting control data; The dynamic control module extracts the speed and output power parameters of the driving motor based on the dynamic lifting control data of the door curtain, processes the power parameters and the power output value, adjusts the contact pressure parameters of the weighted air barrier cloth at the bottom of the door curtain and the displacement parameters of the slideway sealing strip, groups and processes the slideway strip displacement data and contact pressure data to generate a sealing performance data set; Based on the sealing performance data set, the sealing performance adjustment module calls the contact pressure parameters of the weighted air barrier cloth and the displacement data of the slideway sealing wool strip, extracts the adjusted displacement data for classification processing, combines the contact pressure parameters for item-by-item verification, adjusts and optimizes the sealing performance parameter group, and generates a wind-resistant and fireproof rolling shutter door operation status control plan.

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