Intelligent control system for fireproof rolling shutter door and control method thereof

Abstract

The present application relates to the technical field of intelligent control of fire-fighting equipment, in particular to a fireproof rolling door intelligent control system and a control method thereof, comprising: an acquisition data step: obtaining personnel presence state, personnel escape parameters and smoke deposition parameters of a target area through a sensing device; a time prediction step: calculating escape tolerance time and smoke disaster time according to the above parameters respectively; a time sequence comparison step: comparing the escape tolerance time and the smoke disaster time to generate a time sequence comparison result; an adaptive control step: adjusting the descending speed and hovering height based on the comparison result and the personnel presence state: descending to the ground at the maximum safe speed when there is no personnel; dynamically hovering when there are personnel and the escape tolerance time is less than the disaster time, and then descending; gently descending and sending instructions when there are personnel and the escape time is greater than or equal to the disaster time; the present application significantly improves the scheduling adaptability and robustness under complex crowd structure and dynamic fire environment.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology for fire protection equipment, specifically to an intelligent control system and control method for fireproof rolling shutter doors. Background Technology

[0002] Fire-resistant roller shutters are important facilities used to block high-level smoke and achieve physical space isolation during fires. Existing control mechanisms mostly rely on traditional fixed-sequence control technology and fixed-frequency motor drives. These traditional methods can perform basic descent actions after a fire occurs, solving the problem of area isolation under fully enclosed or simple sequence conditions. Currently, for complex evacuation scenarios such as large hub airports, medical institutions, and nursing homes where people are densely populated and have significantly different mobility, the system needs to be adaptable to complex fire environments and dynamic scheduling.

[0003] Existing traditional fixed-frequency motors are limited by dynamic matching problems, making it difficult to achieve precise dynamic hovering. Furthermore, fixed-sequence control lacks perception of the smoke settling state in a fire and the behavioral characteristics of specific personnel, making it difficult to quantify the actual escape time required by special groups in a state of panic and the degree of deterioration of environmental fluid dynamics. Therefore, how to synchronously calculate the escape tolerance time and smoke-induced disaster time based on multimodal parameters, and adaptively drive the rolling shutter door to perform nonlinear dynamic hovering and flexible descent through time-sequence comparison results, so as to maintain the unobstructed escape route while efficiently blocking smoke, has become a technical problem that needs to be solved in the intelligent control system and control method of fireproof rolling shutter doors. Summary of the Invention

[0004] The purpose of this invention is to provide an intelligent control system and control method for fireproof rolling shutter doors, solving the following technical problems:

[0005] It avoids the adaptability bottleneck of traditional fixed-sequence control in complex fire environments, and can adjust the descent speed and hovering height of the fireproof rolling shutter door in real time according to the comparison results of escape tolerance time and smoke disaster time. This ensures that while maintaining the smooth flow of escape routes, it blocks high-level smoke, taking into account both the safety of personnel passage and the efficiency of rapid physical space isolation.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] A method for intelligent control of fireproof roller shutter doors, characterized in that it includes:

[0008] The presence status of personnel, personnel escape parameters, and smoke settling parameters in the target area are obtained through sensing devices; wherein, the personnel escape parameters include personnel distance, movement speed, and personnel characteristic data, and the smoke settling parameters include smoke layer height and smoke settling rate.

[0009] The escape tolerance time is calculated based on the personnel distance, the movement speed, and the personnel characteristic data; the smoke disaster time is calculated based on the smoke layer height and the smoke settling rate; the escape tolerance time and the smoke disaster time are compared to generate a time-series comparison result.

[0010] The descent speed and hovering height of the fireproof roller shutter door are adjusted in real time based on the time-series comparison results and the presence status of personnel in the target area. The configuration is as follows: if there are no personnel in the target area, the fireproof roller shutter door is controlled to descend to the ground at a preset maximum safe speed.

[0011] If there are people in the target area and the escape tolerance time is less than the smoke disaster time, the fireproof roller shutter door is controlled to descend to a preset hovering height below the smoke layer height for dynamic hovering, and then descends to the ground after the people have passed through.

[0012] If there are people in the target area and the escape tolerance time is greater than or equal to the smoke-induced disaster time, the fireproof roller shutter door is controlled to descend at a preset, gentle descent speed, and an audio-visual guidance command is sent to the audio-visual guidance device installed in the target area.

[0013] Furthermore, the escape tolerance time is calculated based on the distance between the individuals, their movement speed, and their characteristic data, including:

[0014] Extract behavioral features from the personnel feature data;

[0015] Based on a preset feature mapping relationship, the behavioral features are converted into corresponding traffic resistance coefficients;

[0016] Divide the distance between the personnel by the product of the moving speed and the passage resistance coefficient to calculate the escape tolerance time required for personnel in the target area to safely pass through the fireproof roller shutter door.

[0017] Furthermore, the calculation of the flue gas disaster time based on the flue gas layer height and the flue gas settling rate includes:

[0018] Obtain the preset safety critical height;

[0019] Calculate the height difference between the flue gas layer height and the preset safety critical height;

[0020] Divide the height difference by the flue gas settling rate to generate the flue gas disaster time.

[0021] Furthermore, controlling the fireproof roller shutter door to descend to a preset hovering height below the smoke layer and dynamically hovering it includes:

[0022] Get the current flue gas layer height in real time;

[0023] Subtract the preset safety margin from the current smoke layer height to generate the current target hovering height;

[0024] The fireproof rolling shutter door is controlled to dynamically adjust its height according to the current target hovering height in order to form a smoke-blocking curtain.

[0025] Furthermore, after controlling the fireproof roller shutter door to descend at a preset, gentle descent speed, the following steps are also included:

[0026] The system is configured to monitor the relative position of the personnel and the fireproof roller shutter door in real time.

[0027] If the person passes directly under the fireproof roller shutter at the moment of crossing, the fireproof roller shutter is controlled to rise upwards by a preset anti-compression distance;

[0028] If the personnel completely pass through the fireproof roller shutter door, the fireproof roller shutter door is controlled to descend to the ground at a preset accelerated closing speed.

[0029] Furthermore, the presence status of personnel, personnel escape parameters, and smoke settling parameters in the target area are obtained through sensing devices, including:

[0030] The presence status of the personnel and their escape parameters are collected by visual and infrared fusion sensing modules deployed on both sides of the fireproof rolling shutter door.

[0031] The flue gas settling parameters at the doorway are measured in real time using a laser and infrared array monitoring module.

[0032] Furthermore, the descent speed and hovering height of the fireproof roller shutter door can be adjusted in real time, including:

[0033] Send real-time control commands to the variable frequency anti-pinch servo motor of the fireproof rolling shutter door;

[0034] The real-time control command includes target height data, current speed data, and acceleration data;

[0035] The variable frequency anti-pinch servo motor performs stepless speed change and anti-pinch rebound operation according to the real-time control command.

[0036] Furthermore, the presence status of personnel in the target area is determined in the following ways:

[0037] The image data of the target area collected by the sensing device is configured to perform target detection, as follows:

[0038] If the image data contains human body contour features, it is determined that there are people in the target area;

[0039] Otherwise, it is determined that there are no people in the target area.

[0040] A fireproof rolling shutter door intelligent control system includes:

[0041] The multimodal data acquisition module is connected to an environmental sensing sensor to acquire the presence status of personnel, personnel escape parameters, and smoke settling parameters of the target area through the environmental sensing sensor. The personnel escape parameters include personnel distance, movement speed, and personnel characteristic data, and the smoke settling parameters include smoke layer height and smoke settling rate.

[0042] The time prediction calculation module is used to calculate the escape tolerance time based on the personnel distance, the movement speed and the personnel characteristic data, and to calculate the smoke disaster time based on the smoke layer height and the smoke settling rate.

[0043] The time-series comparison processing module is used to compare the escape tolerance time with the smoke-induced disaster time and generate a time-series comparison result.

[0044] An adaptive control execution module, electrically connected to a fireproof rolling shutter door drive mechanism, is used to adjust the descent speed and hovering height of the fireproof rolling shutter door in real time through the fireproof rolling shutter door drive mechanism based on the time-series comparison results and the presence status of personnel in the target area. The configuration is as follows:

[0045] If there are no people in the target area, the fireproof roller shutter door is controlled to descend to the ground at a preset maximum safe speed;

[0046] If there are people in the target area and the escape tolerance time is less than the smoke disaster time, the fireproof roller shutter door is controlled to descend to a preset hovering height below the smoke layer height for dynamic hovering, and then descends to the ground after the people have passed through.

[0047] If there are people in the target area and the escape tolerance time is greater than or equal to the smoke-induced disaster time, the fireproof roller shutter door is controlled to descend at a preset, gentle descent speed, and an audio-visual guidance command is sent to the audio-visual guidance device installed in the target area.

[0048] Furthermore, the fireproof rolling shutter door drive mechanism is a variable frequency anti-pinch servo motor;

[0049] The variable frequency anti-pinch servo motor is used to receive target height data, current speed data, and acceleration data sent by the adaptive control execution module, and drive the door to perform stepless speed change operation.

[0050] The beneficial effects of this invention are:

[0051] 1) This invention introduces the escape tolerance time and the smoke disaster time for time sequence comparison, breaking the adaptability bottleneck of traditional fixed time sequence control; the system generates an adaptive descent curve based on the interaction between people and smoke, dynamically adjusts the descent speed and hovering height of the roller shutter door, and improves the scheduling efficiency of evacuation and isolation of complex crowds.

[0052] 2) This invention extracts human behavioral characteristics and maps them to passage resistance coefficients, transforming mechanical distance measurement into a comprehensive evaluation of multi-dimensional parameters; this mechanism quantifies the penalty factor for the decline in passage efficiency caused by the physiological state of special groups, accurately predicts the actual escape demand time, and significantly improves the decision-making tolerance rate of the system under complex population structures;

[0053] 3) The present invention generates a target hovering height by subtracting a preset safety margin from the real-time smoke layer height, and controls the dynamic raising and lowering of the door to form a smoke-blocking curtain; this mechanism dynamically compresses the smoke leakage gaps while ensuring personnel escape, preventing smoke from being drawn in and leaking due to thermal pressure difference, and greatly improving the fire-blocking and smoke-blocking efficiency in fluctuating airflow environments. Attached Figure Description

[0054] The invention will now be further described with reference to the accompanying drawings.

[0055] Figure 1 A flowchart illustrating an intelligent control method for a fireproof rolling shutter door provided in an embodiment of this application;

[0056] Figure 2 This is a structural block diagram of an intelligent control system for fireproof rolling shutter doors provided in an embodiment of this application. Detailed Implementation

[0057] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0058] Please see Figure 1 A fireproof rolling shutter door intelligent control method; in order to solve the adaptability bottleneck of traditional fixed timing control in complex fire scene environment, this method introduces escape tolerance time as the kinematic time benchmark for assessing the urgency of personnel escape. This time is calculated in real time by the time prediction calculation module based on personnel distance, movement speed and personnel characteristic data collected by the sensing device.

[0059] Meanwhile, the time of flue gas disaster is introduced as a fluid dynamic time benchmark for assessing the degree of environmental degradation. This time is dynamically calculated by the time prediction calculation module based on the flue gas layer height and flue gas settling rate collected by the sensing device.

[0060] The time series comparison processing module mathematically compares the escape tolerance time with the smoke-induced disaster time to generate time series comparison results with Boolean or difference-type status indicators, which serve as the decision-making basis for triggering different levels of adaptive descent strategies.

[0061] In fire evacuation scenarios at large hub airport terminals, passengers are densely packed and have significantly different mobility levels. This intelligent control method for fireproof rolling shutters uses sensing devices to acquire the presence status of people in the target area, personnel escape parameters, and smoke settling parameters. The personnel escape parameters include personnel distance, movement speed, and personnel characteristic data, while the smoke settling parameters include smoke layer height and smoke settling rate, thereby constructing a data mapping of the on-site physical environment.

[0062] After obtaining the above data, the method calculates the escape tolerance time based on personnel distance, movement speed, and personnel characteristic data, and quantifies the non-uniform movement characteristics of the crowd; simultaneously, it calculates the smoke-induced disaster time based on the smoke layer height and smoke settling rate, and constructs a fluid settling prediction model.

[0063] This method compares the escape tolerance time with the smoke-induced disaster time to generate a time-series comparison result; based on the result and the presence status of people in the target area, it adjusts the descent speed and hovering height of the fireproof roller shutter door in real time, and configures it with three adaptive control logics; if there are no people in the target area, it controls the fireproof roller shutter door to descend to the ground at a preset maximum safe speed to achieve rapid isolation of physical space.

[0064] If there are people in the target area and the escape tolerance time is less than the smoke disaster time, it indicates that the people's escape speed is superior. In this case, the fireproof rolling shutter door is controlled to descend to the preset hovering height below the smoke layer and hover dynamically. After the people pass through, it descends to the ground to keep the escape passage open while blocking the high-level smoke.

[0065] If there are people in the target area and the escape tolerance time is greater than or equal to the smoke disaster time, such as special passengers with slow movement in the terminal building, it indicates that the threat of smoke spread has become dominant. In this case, the fireproof roller shutter door is controlled to descend to the preset maximum safe speed to the preset hovering height for emergency smoke blocking. A high-frequency sound and light guidance command is sent to the sound and light guidance equipment set in the target area to accelerate the evacuation of personnel. When it is confirmed that the personnel have reached the bottom of the door, a short-term upward rolling anti-compression action is triggered.

[0066] This embodiment demonstrates the dynamic scheduling adaptability under complex crowd structures. By calculating the spatiotemporal interaction between personnel and smoke, a nonlinear adaptive descent curve is generated, verifying the robustness of this technical solution in dynamic fire environments.

[0067] In a preferred embodiment of the present invention, the step of calculating the escape tolerance time based on personnel distance, movement speed, and personnel characteristic data is included.

[0068] In the evacuation scenario of the inpatient department of a tertiary hospital, patients often rely on medical assistive devices. The system extracts behavioral features from the personnel feature data and converts these behavioral features into corresponding passage resistance coefficients according to the preset feature mapping relationship, so as to reflect the penalty factor for a specific person's passage efficiency reduction due to their own physiological state or the items they carry.

[0069] Specifically, this behavioral characteristic can be obtained by identifying key points of the human skeleton in the surveillance footage; the system extracts the variance of the coordinate changes of the lower limb joints and the trunk tilt angle in the sequence of key points of the skeleton in multiple consecutive frames.

[0070] When the variance of the joint coordinate changes is within the preset normal gait threshold range and the trunk tilt angle is less than the preset angle, it is classified as normal walking.

[0071] When the variance of the joint coordinate change is higher than the upper limit of the normal gait threshold range or the trunk tilt angle is greater than the preset angle, it is classified as unsteady gait; when the human skeleton is identified as being at a sitting height and accompanied by wheelchair outline features, it is classified as assistive device access.

[0072] The preset feature mapping relationship matches the dimensionless parameters corresponding to the above classification: when the behavior feature is normal walking, the passage resistance coefficient is set to 1.0; when the behavior feature is staggering gait, the coefficient is set to 0.8; when the behavior feature is non-flat gait, the coefficient is set to 0.6.

[0073] To calculate this dynamic time window, this embodiment introduces an escape tolerance time prediction model. This model divides the distance traveled by the product of the moving speed and the passage resistance coefficient to calculate the escape tolerance time required for personnel within the target area to safely pass through the fire shutter door. The calculation model is expressed as follows:

[0074] ;

[0075] in, The escape tolerance time is calculated by dividing the distance between people by the product of their movement speed and the resistance coefficient. The distance between people is obtained in real time by a vision and infrared fusion sensing module deployed on site; The moving speed is calculated by optical flow tracking of multiple consecutive frames of surveillance images. The passage resistance coefficient is a dimensionless parameter, obtained by matching based on personnel characteristic data through a preset feature mapping relationship.

[0076] It should be noted that, to prevent calculation overflow caused by the denominator in the formula being zero or close to zero due to the person being stationary or moving extremely slowly, the system adjusts the movement speed before substituting it into the calculation. Perform lower limit constraint processing; the specific configuration is as follows: set the minimum effective movement speed threshold, for example, 0.1 m / s. This threshold is preset by the system based on the historical statistical lower boundary value of personnel standing still or moving extremely slowly.

[0077] When the movement speed calculated by optical flow tracking is less than this threshold, it is forced to... This value is assigned to the minimum effective movement speed threshold, thereby ensuring escape tolerance time. There is always an effective upper bound on the numerical value, which ensures the closed loop and stability of the algorithm logic in extreme stagnation scenarios;

[0078] When the distance between people is 12 meters, the system calculates the movement speed to be 1.5 meters per second. If the system identifies the person as wheelchair-assisted (i.e., the drag coefficient is 0.6), then the system calculates the escape tolerance time to be... The time was 8 seconds, with dynamic tolerance compensation applied compared to the normal state of 8 seconds;

[0079] This technology transforms mechanical ranging into a comprehensive assessment based on multi-dimensional parameters by introducing behavioral characteristics and passage resistance coefficients. It predicts the actual escape time required by special groups in a state of panic, thereby improving the system's decision-making tolerance in complex crowd structures.

[0080] In a preferred embodiment of the present invention, the step of calculating the smoke-induced disaster time based on the smoke layer height and smoke settling rate is as follows: In a fire scenario in the atrium of a high-rise office building, the smoke exhibits complex stratification and settling characteristics due to the thermal pressure effect. In this embodiment, a preset safety critical height is pre-fixed as the minimum safety limit for the human body to avoid direct invasion of high-temperature toxic smoke when escaping upright or bent over. In specific implementation, the preset safety critical height is set based on statistical data of the average breathing zone height of adults and the bent-over escape posture in a fire scene. For example, it can be fixed as 2.0 meters.

[0081] To determine the time point at which smoke-induced death occurs, this embodiment obtains a preset safety critical height, calculates the height difference between the smoke layer height and the preset safety critical height, and divides the height difference by the smoke settling rate to generate the smoke-induced disaster time. This hydrodynamic disaster calculation model is expressed as follows:

[0082] ;

[0083] The cartilage injury model is represented as follows:

[0084] ;

[0085] in, The time of the flue gas disaster is calculated by dividing the height difference by the flue gas settling rate. The height of the flue gas layer is obtained in real time by a laser and infrared array monitoring module. The preset safety threshold height is read from the system configuration database;

[0086] The flue gas settling rate is obtained by the monitoring module through differential calculation of the flue gas layer height in adjacent sampling periods; This represents the height of the flue gas layer in the previous sampling period; The sampling period span;

[0087] To avoid logical errors such as division by zero or negative values ​​when the flue gas is in a stable stratified state (i.e., not settling or being driven by thermal pressure to rise in the opposite direction), the system controls the flue gas settling rate. A safety boundary determination mechanism has been introduced;

[0088] Specifically, if obtained through difference operation If the value is less than or equal to zero, it indicates that the flue gas layer has not approached the preset safety critical height. In this case, the system directly skips the above division operation and calculates the flue gas disaster time. The value is forcibly assigned to a preset global maximum safe time constant, such as 999 seconds; this constant is much larger than the normal escape tolerance time, so that the system is naturally guided to execute a smooth descent control strategy in non-emergency situations during subsequent time-series comparisons.

[0089] For example, if the measured height of the flue gas layer at the current sampling time is 3.5 meters, that is... The previous sampling period, i.e., 1 second ago and The height is 3.6 meters, that is Then, the flue gas settling velocity obtained by differential calculation is (3.6-3.5) / 1=0.1 m / s;

[0090] When input into the aforementioned disaster calculation model, the calculated height difference is 3.5 meters minus 2.0 meters equals 1.5 meters, and the time for smoke generation to cause disaster is 1.5 / 0.1=15 seconds. This technical feature, by dynamically calculating the quotient of height difference and settlement rate, and supplemented by a clear quantitative benchmark setting, gives the system the ability to predict the moment of danger, providing fluid dynamics data support for subsequent adaptive hovering and flexible descent.

[0091] In a preferred embodiment of the present invention, the fireproof roller shutter door is dynamically hovered at a preset hovering height below the smoke layer height. In a fire scenario at an underground rail transit transfer station, the interaction between the ventilation system and the fire smoke causes frequent fluctuations in the smoke layer height. This embodiment obtains the current smoke layer height in real time and subtracts a preset safety margin from the current smoke layer height to generate the current target hovering height. This height is defined as the absolute spatial coordinate that the bottom of the roller shutter door should maintain at a specific moment, and its function is to ensure that the door is always close to and below the smoke layer. The dynamic tracking model is represented as follows:

[0092] ;

[0093] in, The current target hovering height is obtained by subtracting the preset safety margin from the current smoke layer height. This represents the current height of the flue gas layer. To ensure a safety margin, a buffer constant is preset in the system to prevent side leakage of flue gas due to thermal pressure difference. Its specific value is generally set between 0.2 meters and 0.5 meters based on engineering experience and fluid dynamics simulation.

[0094] For example, suppose the height of the smoke layer measured by the laser array at the current moment is... The system reads a preset safety margin of 2.8 meters. Taking 0.3 meters as an example, the system calculates the current target hovering height. It is 2.5 meters;

[0095] The fireproof rolling shutter door is dynamically raised and lowered to follow the current target hovering height to form a smoke-blocking curtain. This technical feature introduces a clearly quantified safety margin and dynamically adjusts the height to compress the smoke leakage gap at the top opening of the rolling shutter door without affecting the normal escape of people below, thereby improving the fire-blocking and smoke-blocking efficiency of the system.

[0096] In a preferred embodiment of the present invention, the fireproof roller shutter door is controlled to descend at a preset, gradual speed, followed by an anti-pressure control logic. In a nighttime evacuation scenario at a large nursing home, due to the slow movement and declining vision of the elderly, there is still a risk of physical contact with the gradually descending door. This embodiment monitors the relative position of the personnel and the fireproof roller shutter door in real time, configured as follows: if the personnel reach the moment of crossing directly below the fireproof roller shutter door, the fireproof roller shutter door is controlled to rise upwards by a preset anti-pressure distance; if the personnel completely cross the fireproof roller shutter door, the fireproof roller shutter door is controlled to descend to the ground at a preset accelerated closing speed.

[0097] Specifically, the preset anti-compression distance is not a fixed constant, but a safety compensation amount dynamically calculated by the system based on the difference between the actual height of the person or the preset average height of the human body and the current height of the door.

[0098] The system calculates the height difference between the bottom of the door and the height of the person. For example, the average height of a person is 1.75 meters. If the height difference is less than the set safety clearance threshold, such as 0.3 meters, the preset anti-pinch distance is set to the difference between the safety clearance threshold and the height difference. This drives the door to roll back up by the compensation distance, ensuring that there is always at least 0.3 meters of physical anti-pinch buffer space above the person's head.

[0099] If the height difference is greater than or equal to the safe clearance threshold, the preset anti-compression distance is set to zero, and the door maintains its current height to wait for passage; after the person has completely passed the fireproof rolling shutter door, the sensing device detects that the person's movement trajectory has completely left the projection area directly below the door. The system confirms that the person has left the danger zone and then controls the fireproof rolling shutter door to descend to the ground at a preset accelerated closing speed, such as 1.2 times the normal descent speed.

[0100] This technology features a cascading mechanism that performs dynamic calculations during passage and accelerates closure during the passing moment, preventing the bottom of the gate from contacting the head or shoulder of a person. This ensures the safety of personnel while maintaining a dynamic balance in the efficiency of gate closure.

[0101] In a preferred embodiment of the present invention, a hardware implementation method is used to obtain the personnel presence status, personnel escape parameters, and smoke settling parameters of the target area through a sensing device; in the fire scenario of a chemical plant storage area, high temperature smoke and chemical aerosols often cause a single optical sensor to fail.

[0102] This embodiment collects the presence status of people and their escape parameters by deploying visual and infrared fusion perception modules on both sides of the fireproof rolling shutter door. The visual module extracts the outline and behavioral features of people, while the infrared module performs penetrating imaging in a heat source environment that obstructs the view.

[0103] The technology uses a laser and infrared array monitoring module to calculate the flue gas settling parameters in the opening area of ​​the roller shutter door in real time, and uses the laser array based on the time-of-flight ranging principle to measure the absolute spatial height of the physical boundary of the flue gas layer. The technology features a multi-modal sensor fusion architecture, which ensures the robustness and accuracy of personnel parameters and flue gas parameters under complex physical conditions through the complementarity of heterogeneous data.

[0104] In a preferred embodiment of the present invention, the execution layer logic adjusts the descent speed and hovering height of the fireproof roller shutter door in real time; in a fire scenario in the catering area of ​​a large commercial complex, the unpredictability of personnel evacuation requires the actuator to have high-frequency dynamic response capability; in this embodiment, a real-time control command is sent to the variable frequency anti-pinch servo motor of the fireproof roller shutter door; wherein, the real-time control command includes target height data, current speed data, and acceleration data;

[0105] The variable frequency anti-pinch servo motor performs stepless speed change operation and anti-pinch rebound operation according to real-time control commands; specifically, in order to achieve a smooth transition of the above complex motion curve, a kinematic planning algorithm based on trapezoidal acceleration and deceleration curve is deployed in the system; the target height data is the final state determined by the system based on the time-series comparison results, such as ground height of 0 meters or dynamically calculated preset hovering height, and is assigned in real time.

[0106] The current speed data is the instantaneous speed expectation value dynamically calculated by the system based on the remaining distance between the current gate height and the target height data, combined with the preset running time for each stage; the acceleration data is used to constrain the rate at which the current speed data changes towards the target speed. The system sets a maximum acceleration limit based on the maximum torque of the motor and the weight of the gate, and calculates the actual acceleration data issued through a PID control algorithm to prevent overload or mechanical damage to the motor during sudden stops or accelerations; to implement this control logic, the system constructs a PID acceleration calculation model:

[0107] ;

[0108] in, This refers to the actual acceleration data that was issued. The proportionality coefficient ( ), used to quickly respond to speed deviations; Speed ​​deviation is the difference between the current speed data and the actual feedback speed of the motor. Integral coefficients ( ), used to eliminate steady-state error; This represents the current discrete-time sampling point of the system control loop; These are differential coefficients, dimensionless parameters, used to suppress velocity overshoot;

[0109] To ensure that the dimensions on both sides of the equation are consistent, the dimensions of the three terms on the right side of the equation are all converted to the dimension of acceleration, i.e., length / time. 2 ;

[0110] When the gate switches from a gentle descent to accelerated closing, the system sends out new ground target altitude data. At this time, the expected value of the current velocity data surges, causing velocity deviation. The PID control algorithm calculates a larger positive acceleration data constrained by the maximum acceleration limit based on the significant increase, so that the actual feedback speed of the motor increases smoothly to the preset acceleration closing speed.

[0111] The variable frequency anti-pinch servo motor performs stepless speed change operation based on the above multi-dimensional parameters, and triggers anti-pinch rebound operation when it senses abnormal resistance, such as when the bottom contacts a foreign object causing a sudden change in motor current and overload. This technical feature transforms the start-stop control of a single speed into multi-dimensional kinematic parameter trajectory tracking based on a trapezoidal acceleration and deceleration curve, and combines it with a clear PID closed-loop control model, providing a hardware foundation and algorithmic support for realizing the physical output of a nonlinear descent curve.

[0112] In a preferred embodiment of the present invention, the method for determining the presence of personnel in the target area is as follows: In a fire scenario at a logistics sorting center, the airflow from the fire often stirs up a large number of lightweight packaging floating objects, which can easily cause false triggering of sensors; In this embodiment, the image data of the target area collected by the sensing device is used for target detection, configured as follows: if human outline features are present in the image data, it is determined that there are personnel in the target area; otherwise, it is determined that there are no personnel in the target area; In specific implementation, the system extracts image features by running a lightweight convolutional neural network;

[0113] In the specific object detection data flow, the input image is uniformly scaled to a preset resolution, such as 416x416 pixels, in order to normalize the input dimension;

[0114] Edge and texture features of the image are extracted by multi-layer convolutional kernels, and feature pyramid network (FPN) is used to fuse deep semantic information with shallow spatial information at multiple scales.

[0115] The detection head outputs multiple predicted bounding boxes based on the fused feature map and simultaneously calculates the prediction confidence of the human body classification corresponding to each bounding box. If there are clear human body contour features in the image data, that is, the human body classification prediction confidence of any predicted bounding box output by the algorithm is greater than or equal to the preset human body determination threshold, such as 0.75, the system determines that there are human bodies in the target area.

[0116] If this type of feature is not extracted, that is, the confidence of all detected bounding boxes is lower than the above threshold, the system determines that the moving object is a packaging residue or smoke cloud or other debris moving with the airflow and filters it out, and determines that there are no people in the target area.

[0117] The aforementioned preset threshold for determining personnel is not an arbitrarily set empirical value, but is determined by pre-training and testing the lightweight convolutional neural network on a specialized dataset containing a large amount of fire smoke obscuring, flying debris, and different lighting conditions, and plotting the ROC (Receiver Operating Characteristic) curve. The confidence level value corresponding to the working point that makes the false positive rate (the probability of misjudging debris as a person) less than 1% and the true positive rate the highest is selected.

[0118] This technology eliminates non-target interference signals caused by complex environments through a multi-scale fusion process of structured decomposition of feature pyramids, combined with clear and data-supported confidence threshold judgment logic. This prevents the system from erroneously executing hovering or gentle descent logic due to misjudging the presence of personnel, thus ensuring the accuracy of the blockade strategy in uninhabited areas.

[0119] Please see Figure 2 A fireproof rolling shutter door intelligent control system; in business scenarios such as underground integrated pipe gallery monitoring where the space is long and narrow and personnel evacuation is restricted, the fireproof rolling shutter door intelligent control system realizes closed-loop management of data flow through modular architecture;

[0120] The system's hardware architecture and functional modules specifically include: a multimodal data acquisition module that is connected to environmental sensing sensors to acquire the presence status of personnel, personnel escape parameters, and smoke settling parameters in the target area. The personnel escape parameters include personnel distance, movement speed, and personnel characteristic data, while the smoke settling parameters include smoke layer height and smoke settling rate.

[0121] The time prediction calculation module is used to calculate the escape tolerance time based on personnel distance, movement speed and personnel characteristic data, and to calculate the smoke disaster time based on smoke layer height and smoke settling rate; the time series comparison processing module is used to compare the escape tolerance time with the smoke disaster time to generate time series comparison results.

[0122] The adaptive control execution module is electrically connected to the fireproof rolling shutter door drive mechanism. It is used to adjust the descent speed and hovering height of the fireproof rolling shutter door in real time through the fireproof rolling shutter door drive mechanism according to the time sequence comparison results and the presence status of people in the target area. It is configured to: if there are no people in the target area, control the fireproof rolling shutter door to descend to the ground at a preset maximum safe speed.

[0123] If there are people in the target area and the escape tolerance time is less than the time of smoke-induced disaster, the fireproof rolling shutter door will be controlled to descend to a preset hovering height below the smoke layer and hover dynamically, and will descend to the ground after the people have passed through.

[0124] If there are people in the target area and the escape tolerance time is greater than or equal to the smoke-induced disaster time, the fireproof rolling shutter door is controlled to descend at a preset smooth descent speed, and an audio-visual guidance command is sent to the audio-visual guidance device set in the target area; this technical feature constructs a system architecture that can respond to the dynamic changes of the fire scene in real time through deep decoupling and linkage of sensing, calculation, decision-making and execution modules.

[0125] It should be noted that the environmental sensing sensor in this embodiment is the same as the sensing device mentioned in the previous embodiments. The two are the same technical object, and are described in the same way here to ensure strict consistency of technical terminology and physical hardware throughout the text.

[0126] In a preferred embodiment of the present invention, the hardware form of the actuator is defined. In the fire-resistant partition scenario of the atrium of a super high-rise hotel, the weight of the large-span roller shutter door makes it difficult for traditional fixed-frequency motors to achieve precise dynamic hovering. In this embodiment, the fireproof roller shutter door drive mechanism is defined as a variable-frequency anti-pinch servo motor. The variable-frequency anti-pinch servo motor is used to receive target height data, current speed data and acceleration data sent by the adaptive control execution module, and drive the door to perform stepless speed change operation.

[0127] This technical feature, through the hardware selection of the variable frequency anti-pinch servo motor, enables the complex nonlinear descent curve calculated by the system to be converted into the physical motion of the door with high fidelity, overcoming the dynamic mismatch problem and improving the response accuracy and stability of the system execution layer.

[0128] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A method for intelligent control of fireproof rolling shutter doors, characterized in that, include: The presence status of personnel, personnel escape parameters, and smoke settling parameters in the target area are obtained through sensing devices; wherein, the personnel escape parameters include personnel distance, movement speed, and personnel characteristic data, and the smoke settling parameters include smoke layer height and smoke settling rate. The escape tolerance time is calculated based on the personnel distance, the movement speed, and the personnel characteristic data; the smoke-induced disaster time is calculated based on the smoke layer height and the smoke settling rate. The escape tolerance time is compared with the time of smoke-induced disaster to generate a time-series comparison result; The descent speed and hovering height of the fireproof roller shutter door are adjusted in real time based on the time-series comparison results and the presence status of personnel in the target area. The configuration is as follows: if there are no personnel in the target area, the fireproof roller shutter door is controlled to descend to the ground at a preset maximum safe speed. If there are people in the target area and the escape tolerance time is less than the smoke disaster time, the fireproof roller shutter door is controlled to descend to a preset hovering height below the smoke layer height for dynamic hovering, and then descends to the ground after the people have passed through. If there are people in the target area and the escape tolerance time is greater than or equal to the smoke-induced disaster time, the fireproof roller shutter door is controlled to descend at a preset, gentle descent speed, and an audio-visual guidance command is sent to the audio-visual guidance device installed in the target area.

2. The intelligent control method for fireproof rolling shutter doors according to claim 1, characterized in that, The calculation of the escape tolerance time based on the distance to the person, the movement speed, and the person's characteristic data includes: Extract behavioral features from the personnel feature data; Based on a preset feature mapping relationship, the behavioral features are converted into corresponding traffic resistance coefficients; Divide the distance between the personnel by the product of the moving speed and the passage resistance coefficient to calculate the escape tolerance time required for personnel in the target area to safely pass through the fireproof roller shutter door.

3. The intelligent control method for fireproof rolling shutter doors according to claim 1, characterized in that, The calculation of the flue gas disaster time based on the flue gas layer height and the flue gas settling rate includes: Obtain the preset safety critical height; Calculate the height difference between the flue gas layer height and the preset safety critical height; Divide the height difference by the flue gas settling rate to generate the flue gas disaster time.

4. The intelligent control method for fireproof rolling shutter doors according to claim 1, characterized in that, The control of the fireproof roller shutter door to descend to a preset hovering height below the smoke layer and then dynamically hovering it includes: Get the current flue gas layer height in real time; Subtract the preset safety margin from the current smoke layer height to generate the current target hovering height; The fireproof rolling shutter door is controlled to dynamically adjust its height according to the current target hovering height in order to form a smoke-blocking curtain.

5. The intelligent control method for fireproof rolling shutter doors according to claim 1, characterized in that, After controlling the fireproof roller shutter door to descend at a preset, gentle descent speed, the method further includes: The system is configured to monitor the relative position of the personnel and the fireproof roller shutter door in real time. If the person passes directly under the fireproof roller shutter at the moment of crossing, the fireproof roller shutter is controlled to rise upwards by a preset anti-compression distance; If the personnel completely pass through the fireproof roller shutter door, the fireproof roller shutter door is controlled to descend to the ground at a preset accelerated closing speed.

6. The intelligent control method for fireproof rolling shutter doors according to claim 1, characterized in that, The acquisition of personnel presence status, personnel escape parameters, and smoke settling parameters in the target area through sensing devices includes: The presence status of the personnel and their escape parameters are collected by visual and infrared fusion sensing modules deployed on both sides of the fireproof rolling shutter door. The flue gas settling parameters at the doorway are measured in real time using a laser and infrared array monitoring module.

7. The intelligent control method for fireproof rolling shutter doors according to claim 1, characterized in that, The real-time adjustment of the descent speed and hovering height of the fireproof roller shutter door includes: Send real-time control commands to the variable frequency anti-pinch servo motor of the fireproof rolling shutter door; The real-time control command includes target height data, current speed data, and acceleration data; The variable frequency anti-pinch servo motor performs stepless speed change and anti-pinch rebound operation according to the real-time control command.

8. The intelligent control method for fireproof rolling shutter doors according to claim 1, characterized in that, The presence status of personnel in the target area is determined in the following ways: The image data of the target area collected by the sensing device is configured to perform target detection, as follows: If the image data contains human body contour features, it is determined that there are people in the target area; Otherwise, it is determined that there are no people in the target area.

9. A fireproof rolling shutter door intelligent control system, used to implement the fireproof rolling shutter door intelligent control method as described in any one of claims 1-8, characterized in that, include: The multimodal data acquisition module is connected to an environmental sensing sensor to acquire the presence status of personnel, personnel escape parameters, and smoke settling parameters of the target area through the environmental sensing sensor. The personnel escape parameters include personnel distance, movement speed, and personnel characteristic data, and the smoke settling parameters include smoke layer height and smoke settling rate. The time prediction calculation module is used to calculate the escape tolerance time based on the personnel distance, the movement speed and the personnel characteristic data, and to calculate the smoke disaster time based on the smoke layer height and the smoke settling rate. The time-series comparison processing module is used to compare the escape tolerance time with the smoke-induced disaster time and generate a time-series comparison result. An adaptive control execution module, electrically connected to a fireproof rolling shutter door drive mechanism, is used to adjust the descent speed and hovering height of the fireproof rolling shutter door in real time through the fireproof rolling shutter door drive mechanism based on the time-series comparison results and the presence status of personnel in the target area. The configuration is as follows: If there are no people in the target area, the fireproof roller shutter door is controlled to descend to the ground at a preset maximum safe speed; If there are people in the target area and the escape tolerance time is less than the smoke disaster time, the fireproof roller shutter door is controlled to descend to a preset hovering height below the smoke layer height for dynamic hovering, and then descends to the ground after the people have passed through. If there are people in the target area and the escape tolerance time is greater than or equal to the smoke-induced disaster time, the fireproof roller shutter door is controlled to descend at a preset, gentle descent speed, and an audio-visual guidance command is sent to the audio-visual guidance device installed in the target area.

10. The intelligent control system for fireproof rolling shutter doors according to claim 9, characterized in that, The fireproof rolling shutter door drive mechanism is a frequency conversion anti-pinch servo motor; The variable frequency anti-pinch servo motor is used to receive target height data, current speed data, and acceleration data sent by the adaptive control execution module, and drive the door to perform stepless speed change operation.

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