A method, system and device for controlling an emergency one-way door network

Abstract

The present application discloses a network control method, system, and device for an emergency one-way door, belonging to the field of automation. The present application obtains UWB positioning data, ultrasonic obstacle data, and hazardous area information of the emergency one-way door; generates passage demand information based on the UWB positioning data and building structure map; determines obstacle category information and spatial restriction information based on the ultrasonic obstacle data, and determines the door passage status information in combination with the UWB positioning data of the emergency one-way door passage area; generates control instruction information for the emergency one-way door based on hazardous area information, building structure map, obstacle category information, passage demand information, and door passage status information; and completes network control of the emergency one-way door by sending the control instruction information to the emergency one-way door through a preset network channel including optical fiber and LoRaWAN. This embodiment is suitable for high-risk industrial application scenarios to evacuate personnel in a timely and effective manner and reduce the risk of secondary hazards.

Description

Technical Field

[0001] The present application relates to the field of automation, and in particular to a method, system and device for controlling an emergency one-way door network. Background Art

[0002] Emergency one-way doors play a critical role in high-risk industrial plants, such as chemical plants. Through networked control, they can quickly isolate contamination areas in the event of an incident and ensure unobstructed emergency passages. For example, in the event of a toxic gas leak or fire, the networked system needs to obtain real-time dynamic information about the hazardous area and adjust the emergency one-way door opening strategy to ensure safe evacuation of personnel while blocking the spread of pollutants and reducing the risk of secondary disasters.

[0003] The existing emergency one-way door network control method mainly obtains personnel distribution data through infrared sensing technology, generates emergency one-way door control instructions based on the preset evacuation path, transmits data to the central controller through the local area network, and controls the opening and closing of the emergency one-way door.

[0004] However, the emergency one-way door networking control method of the existing technology has defects in complex emergency scenarios. When the pollution source continues to spread and the dangerous area changes dynamically, relying solely on infrared sensors, it is impossible to timely and effectively adjust the emergency one-way door control strategy. For example, it is impossible to timely adjust the opening and closing timing of the emergency one-way door or delay the closing of the emergency one-way door in the high-risk area, etc., which increases the risk of personnel detention and the spread of danger. Therefore, the emergency one-way door networking control method of the existing technology has poor adaptability in high-risk industrial application scenarios and is unable to timely and effectively evacuate personnel and reduce the risk of secondary hazards. Technical problems. Summary of the Invention

[0005] The present application provides an emergency one-way door networking control method, system, device and computer-readable storage medium, which can be applied to high-risk industrial application scenarios to evacuate personnel in a timely and effective manner and reduce the risk of secondary hazards.

[0006] In a first aspect, the present application provides a method for controlling an emergency one-way door through networking, the method comprising:

[0007] Obtain UWB positioning data within the target area, ultrasonic obstacle data corresponding to the emergency one-way door, and dangerous area information;

[0008] Based on UWB positioning data and preset building structure maps, generate access demand information for each emergency one-way door within the target time period;

[0009] Determine the obstacle category and spatial restriction information corresponding to each emergency one-way door based on the ultrasonic obstacle data corresponding to each emergency one-way door. Determine the door passage status information representing the degree of passage restriction based on the obstacle category information, spatial restriction information, and the UWB positioning data of the passage area of each emergency one-way door in the UWB positioning data. The obstacle category information includes information on stranded personnel and equipment blockage.

[0010] Generate control command information for each emergency one-way door based on the dangerous area information, building structure map, and the obstacle category information, passage demand information, and door passage status information corresponding to each emergency one-way door;

[0011] The control command information is sent to the corresponding emergency one-way door through a preset networking channel, and the network control of the emergency one-way door is completed according to the control command information. The preset networking channel includes a fiber optic main link and a LoRaWAN backup link.

[0012] In one possible implementation, the building structure map includes channel connection information of the target area and location information of emergency one-way doors;

[0013] Based on UWB positioning data and a preset building structure map, the system generates access demand information for each emergency one-way door within the target time period, including:

[0014] Based on the location information and channel connection information, a channel topology network centered on each emergency one-way door is constructed. The channel topology network includes the path connection relationship and traffic capacity parameters between adjacent emergency one-way doors.

[0015] Map the real-time positioning tag coordinates in the UWB positioning data to the corresponding path nodes of the channel topology network, and generate the personnel distribution density set of each path node;

[0016] During the target time period, the number of people flowing in and out of the path node corresponding to each emergency one-way door is calculated according to the preset time granularity;

[0017] Based on the number of people flowing in and out of each path node, the traffic capacity parameters, and the set of people distribution density, the traffic demand index of each emergency one-way door is determined. Based on the path connection relationship, the traffic demand index of each emergency one-way door is corrected across nodes to generate the traffic demand information of each emergency one-way door within the target time period. The traffic demand index represents the population density and the degree of path congestion tendency.

[0018] In one feasible implementation, based on the number of people flowing in and out of each path node, the traffic capacity parameters, and the set of people distribution density, the traffic demand index of each emergency one-way door is determined. Based on the path connectivity, the traffic demand index of each emergency one-way door is corrected across nodes to generate traffic demand information for each emergency one-way door within the target time period, including:

[0019] Calculate the absolute value of the difference between the number of people flowing in and out of each path node within the preset time granularity to generate a flow difference value, and perform a proportional operation based on the maximum allowable flow threshold in the traffic capacity parameter and the flow difference value to generate a capacity deviation coefficient;

[0020] Extract historical density data for each path node from the population distribution density set, calculate the density change slope by time window, generate a density trend factor, and perform weighted superposition of the capacity deviation coefficient and the density trend factor to generate the initial traffic demand index for each path node;

[0021] Based on the connection direction of adjacent nodes in the path connection relationship, the upstream and downstream node sets of each path node directly connected to each path node are extracted;

[0022] According to the traffic capacity parameters of each path node and the initial traffic demand index of each path node in the upstream and downstream node sets, the balance coefficient of each path node is calculated, and the balance coefficient is superimposed with the initial traffic demand index to generate traffic demand information.

[0023] In one practicable embodiment, based on the obstacle category information, the spatial restriction information, and the UWB positioning data of each emergency one-way door passage area in the UWB positioning data, door passage status information representing the degree of passage restriction is determined, including:

[0024] When the obstacle type is people being stranded, the target traffic index is obtained by multiplying the traffic density value by the reflection fluctuation index. The traffic density value is determined by the number of traffic location tags within the emergency one-way door traffic area in the UWB positioning data and the corresponding emergency one-way door channel geometric parameters. The reflection fluctuation index is determined by the duration of the reflected pulse and the intensity change rate of adjacent pulses in the pulse echo signal of the ultrasonic obstacle data.

[0025] If the obstacle type is equipment obstruction, the target traffic index is calculated based on the difference between the occupied space parameter and the space restriction information. The occupied space parameter is determined based on the distance information in the door passage direction from the ultrasonic obstacle data, and the space restriction information is determined based on the area ratio of the occupied space parameter to the geometric boundary of the emergency one-way door's passage area.

[0026] Based on the proportional relationship between the target traffic index and the preset traffic capacity threshold, the target traffic restriction index is generated to obtain the door traffic status information.

[0027] In one possible implementation, the building structure map includes channel connection information of the target area and location information of emergency one-way doors;

[0028] Based on the dangerous area information, building structure map, and the obstacle category information, passage demand information, and door passage status information corresponding to each emergency one-way door, the control instruction information corresponding to each emergency one-way door is generated, including:

[0029] According to the channel connection information, location information, and diffusion direction in the dangerous area information, the geometric correlation between the channel where each emergency one-way door is located and the diffusion path is calculated to generate the path risk parameter;

[0030] Based on the obstacle category information, the restricted access index in the door body access status information is linearly adjusted using the access demand index in the access demand information to generate a access efficiency correction parameter. Based on the channel connection information, the access efficiency correction parameter is topologically distributed to the network pressure to generate the channel pressure coefficient for each emergency one-way door.

[0031] Using the preset diffusion rate, according to the channel connection information and path risk parameters, the predicted time for the diffusion front to reach each emergency one-way door along the channel topology direction is calculated to generate the hazard time series parameters;

[0032] The hazard timing parameters and the channel pressure coefficient are weighted and superimposed to generate the target priority parameters of each emergency one-way door, and the target control instruction information corresponding to the target priority parameters is determined based on the correspondence between the preset priority parameters and the control instruction information.

[0033] In one feasible implementation, based on the obstacle category information, the restricted access index in the door access status information is linearly adjusted using the access demand index in the access demand information to generate a access efficiency correction parameter. Furthermore, based on the channel connection information, the access efficiency correction parameter is topologically distributed to generate a channel pressure coefficient for each emergency one-way door, including:

[0034] When the obstacle category information is equipment congestion, the traffic demand index is corrected according to the congestion level coefficient corresponding to the restricted traffic index to generate a corrected traffic demand parameter;

[0035] Based on the traffic capacity ratio of adjacent emergency one-way doors in the channel connection information, the revised traffic demand parameters are distributed according to the channel topology direction to generate the pressure distribution coefficient for each emergency one-way door.

[0036] The pressure distribution coefficient is weighted with the restricted access index in the door access status information to generate the channel pressure coefficient.

[0037] In one feasible implementation, a preset diffusion rate is used to calculate the predicted time for the diffusion front to reach each emergency one-way door along the channel topology direction according to the channel connection information and the path risk parameter, and generate the hazard timing parameters, including:

[0038] The preset diffusion rate is modified based on the path risk parameter to generate a target diffusion rate;

[0039] According to the ratio of the shortest topological path length from each emergency one-way door to the hazardous area in the channel connection information and the target diffusion rate, the predicted time for the diffusion front to reach each emergency one-way door is generated, and the hazardous timing parameters are obtained.

[0040] In a second aspect, the present application provides an emergency one-way door network control system, the system comprising:

[0041] The acquisition module is used to obtain UWB positioning data within the target area, ultrasonic obstacle data corresponding to the emergency one-way door, and dangerous area information;

[0042] A generation module is used to generate the traffic demand information of each emergency one-way door within the target time period based on UWB positioning data and a preset building structure map;

[0043] a determination module for determining obstacle category information and spatial restriction information corresponding to each emergency one-way door based on the ultrasonic obstacle data corresponding to each emergency one-way door, and determining door passage status information representing the degree of passage restriction based on the obstacle category information, spatial restriction information, and UWB positioning data of the passage area of each emergency one-way door in the UWB positioning data, wherein the obstacle category information includes personnel stranded and equipment blocked;

[0044] The generation module is further used to generate control instruction information corresponding to each emergency one-way door based on the dangerous area information, the building structure map, and the obstacle category information, passage demand information and door passage status information corresponding to each emergency one-way door;

[0045] The control module is used to send control command information to the corresponding emergency one-way door through a preset network channel, and complete the network control of the emergency one-way door according to the control command information. The preset network channel includes a fiber optic main link and a LoRaWAN backup link.

[0046] In a third aspect, the present application provides an electronic device comprising: a processor, and a memory storing computer program instructions; the processor reads and executes the computer program instructions to implement an emergency one-way door networking control method as in any one of the embodiments of the first aspect.

[0047] In a fourth aspect, the present application provides a computer-readable storage medium having computer program instructions stored thereon. When the computer program instructions are executed by a processor, an emergency one-way door networking control method as in any one of the embodiments of the first aspect is implemented.

[0048] The emergency one-way door networking control method, system, device and computer-readable storage medium of the present application use UWB positioning technology to capture the three-dimensional spatial distribution of personnel in real time, and realize dynamic monitoring of path node traffic in combination with the building channel topology network, effectively predicting the path congestion tendency. Ultrasonic obstacle detection technology can accurately distinguish between physical obstacle types such as personnel retention and equipment blockage through pulse echo feature analysis, and quantify the degree of obstruction of door passage in combination with spatial restriction parameters. By integrating multi-dimensional parameters of the diffusion direction of the dangerous area, the real-time passage status of the door body and the dynamic passage demand, the generated intelligent control instructions can simultaneously optimize the efficiency of personnel evacuation and the effect of pollution isolation. The use of optical fiber and LoRaWAN dual-link redundant transmission mechanism ensures the reliable transmission of control instructions in complex industrial scenarios and significantly reduces the system response delay. The present invention improves the adaptability of the emergency one-way door control method in dangerous diffusion scenarios through closed-loop control of dynamic perception and intelligent decision-making, effectively reducing the risk of personnel retention and the probability of secondary disasters.

[0049] Furthermore, geometric correlation analysis based on channel topology accurately assesses the blocking value of each emergency door in the pollutant diffusion path. By dynamically coupling and adjusting the traffic demand index with the door access restriction index, channel capacity loss caused by equipment blockage can be compensated in real time, ensuring the accuracy of traffic efficiency predictions for evacuation paths. By integrating diffusion dynamics models with topological path analysis, hazard time series parameters can predict the arrival time of contamination at doors in high-risk areas in advance, providing a decision-making basis for preventive closure strategies. This spatiotemporal joint optimization mechanism overcomes the technical barriers to balancing efficiency and safety in traditional one-way door control, improving the adaptability of emergency one-way door control methods in hazard diffusion scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0051] Figure 1This is a flow chart of a method for controlling an emergency one-way door network provided by an embodiment of the present application;

[0052] Figure 2 This is a flowchart of a method for determining control instruction information corresponding to an emergency one-way door provided by an embodiment of the present application;

[0053] Figure 3 This is a schematic diagram of the structure of an emergency one-way door network control system provided by an embodiment of the present application;

[0054] Figure 4 This is a schematic diagram of the hardware structure of an electronic device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0055] The features and exemplary embodiments of various aspects of the present application will be described in detail below. In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, rather than to limit the present application. For those skilled in the art, the present application can be implemented without the need for some of these specific details. The following description of the embodiments is merely to provide a better understanding of the present application by illustrating the examples of the present application.

[0056] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, the elements defined by the phrase "comprising..." do not exclude the presence of other identical elements in the process, method, article, or device comprising the elements.

[0057] Existing emergency one-way door control methods have drawbacks in real-world high-risk industrial scenarios. They rely on infrared sensors to capture occupant distribution data. Due to their limited detection accuracy and inability to penetrate obstacles, they struggle to capture dynamic and changing occupant flow trends in real time. Pre-set static evacuation routes are unable to adaptively adjust emergency door opening and closing strategies as hazardous areas evolve due to the spread of contamination sources. This can easily lead to delayed door closures or inappropriate route selection in high-risk areas. Furthermore, traditional methods lack accurate perception of the physical state of the door, making it impossible to distinguish between obstructions such as stranded personnel and equipment blockages, resulting in distorted channel capacity assessments. Consequently, existing emergency one-way door control methods face technical barriers: reliance on single-source sensor data leads to a disconnect between occupant positioning accuracy and obstacle recognition capabilities; static evacuation strategies are difficult to adapt to dynamic contamination diffusion paths; and channel capacity assessments are distorted due to a lack of physical door state perception. The single-link transmission mechanism of local area networks presents the risk of command transmission interruption in complex industrial environments, further exacerbating delays in emergency response. These shortcomings make it difficult for existing emergency one-way door control methods to balance evacuation efficiency and contamination isolation requirements in dynamic hazardous scenarios, increasing the risk of secondary disasters.

[0058] In order to solve the problems of the prior art, the embodiments of the present application provide a method, system, device and computer-readable storage medium for controlling an emergency one-way door. The following first introduces the method for controlling an emergency one-way door in the embodiments of the present application.

[0059] Figure 1 FIG2 shows a flow chart of an emergency one-way door networking control method provided by an embodiment of the present application. Figure 1 As shown, the method includes steps S110 to S150.

[0060] S110: Acquire UWB positioning data within the target area, ultrasonic obstacle data corresponding to the emergency one-way door, and dangerous area information.

[0061] The target area refers to the complete physical space within the factory building that requires emergency control, including all functional areas such as production workshops, equipment areas, and evacuation passages. Ultra-wideband (UWB) positioning data is based on centimeter-level high-precision positioning data of ultra-wideband technology. The real-time coordinates of people or objects in the target area are calculated by the time difference of nanosecond pulse signals. Ultrasonic obstacle data refers to data that analyzes the distance, size, and dynamic characteristics of obstacles near emergency one-way doors by emitting high-frequency sound waves and receiving reflected signals through ultrasonic sensors. Hazardous area information refers to dynamic data generated by environmental sensors and diffusion models, which characterizes the diffusion direction and rate of pollution sources and the boundaries of high-risk areas.

[0062] A network of ultra-wideband (UWB) base stations deployed throughout the factory floor receives nanosecond pulse signals transmitted by UWB tags carried by personnel or equipment in real time. Using the Time Difference of Arrival (TDOA) algorithm, the tags' three-dimensional coordinates are calculated, generating dynamic positioning data with centimeter-level accuracy. This data is then used to map the density of personnel throughout the entire area. An integrated ultrasonic sensor array periodically transmits high-frequency sound waves to each emergency one-way door in the factory floor. The sensor calculates the distance to obstacles based on the time difference of reflected echoes, generating ultrasonic obstacle data that characterizes the physical obstruction status of the doorway. For example, at the emergency door in the main passageway connecting to the raw material storage area, the sensor continuously records the time difference of reflected echoes and changes in signal strength, while simultaneously collecting geometric parameters of the doorway. Real-time monitoring data from gas concentration and temperature sensors is integrated with building structural parameters. A pollutant diffusion model is used to predict the direction and rate of pollution source diffusion, as well as the boundaries of high-risk areas. This dynamically generates hazardous area information, providing a quantitative basis for the risk diffusion path and time window for subsequent control strategies. For example, gas concentration sensors deployed at hazardous source monitoring points in the factory area collect hydrogen sulfide concentration data in real time, and temperature sensors simultaneously monitor changes in ambient temperature. The structural parameters of the factory ventilation system are input into the diffusion model for real-time calculation to generate dynamic diffusion paths and high-risk area boundary data.

[0063] S120: Based on the UWB positioning data and the preset building structure map, the passage demand information of each emergency one-way door within the target time period is generated.

[0064] Traffic demand information refers to a set of dynamic parameters that characterize the evacuation pressure and congestion potential of emergency one-way doors within a specific time period. This information can include core indicators such as passenger flow trend forecasts and channel capacity load assessments. A building structure map is a digital model that describes the topology of the internal channel network within a factory building. It contains structured data such as the geometric connections of evacuation channels, the location coordinates of emergency one-way doors, and channel capacity thresholds.

[0065] Based on UWB positioning data, the spatial distribution of personnel is mapped in real time. Combined with the channel topology relationship of the preset building structure map, the personnel flow trend and channel capacity load in the areas associated with each emergency door are dynamically analyzed. Through spatiotemporal correlation modeling, the traffic pressure changes within the target time period are predicted, and traffic demand information with quantitative evacuation priority and congestion risk is generated to provide data support for adaptive control strategies.

[0066] S130: Determine the obstacle category information and spatial restriction information corresponding to each emergency one-way door based on the ultrasonic obstacle data corresponding to each emergency one-way door, and determine the door passage status information representing the degree of restricted passage based on the obstacle category information, spatial restriction information and the UWB positioning data of the passage area of each emergency one-way door in the UWB positioning data. The obstacle category information includes personnel detention and equipment blockage.

[0067] Obstacle category information refers to the type of door passage obstacle analyzed through ultrasonic sensor data, including stranded personnel and equipment blockage. Stranded personnel are dynamic obstacles, mainly manifested by periodic fluctuations in the reflected signal intensity. Equipment blockage is a static obstacle, manifested by stable reflected signal intensity and a constant occupied space. Spatial restriction information refers to the description of the physical space occupied by the obstacle within the door passage, including geometric parameters such as the distance between the obstacle and the door, horizontal width, and vertical depth, which are used to quantify the available space in the passage area. Door passage status information refers to an indicator generated by combining the obstacle type and the degree of space occupancy, which represents the degree of restriction of the emergency door's passage capacity, such as mild stranding or severe blockage.

[0068] Ultrasonic sensors are used to collect reflected echo data from emergency one-way door channels, analyze obstacle distances and signal fluctuation characteristics, and combine this with the occupant density information in the door area from UWB positioning data to distinguish between obstacle types such as stranded personnel and equipment blockage. The degree of spatial restriction in the passage area is quantified based on a dynamic comparison of the spatial dimensions of the obstacle and the geometric parameters of the door channel. Finally, a dynamic evaluation index characterizing the degree of restricted door capacity is constructed by integrating obstacle categories, spatial restriction parameters, and real-time occupant distribution data, providing physical space state input for the adaptive control strategy.

[0069] By integrating the high-frequency sound wave reflection characteristics of ultrasonic sensors with the personnel distribution verification of UWB positioning data, dynamic obstacles and static obstacles can be accurately distinguished. The space occupied by obstacles is dynamically quantified based on ultrasonic ranging data and channel geometric parameters. The capacity assessment model is calibrated in real time with the building structure map to achieve accurate determination of the spatial restriction level, solving the core defects of traditional methods such as type misjudgment and spatial assessment distortion.

[0070] S140: Based on the dangerous area information, the building structure map, and the obstacle category information, passage requirement information, and door passage status information corresponding to each emergency one-way door, control instruction information corresponding to each emergency one-way door is generated.

[0071] The control command information is a set of emergency door operation strategies generated based on multi-source dynamic data, including door motion parameters (such as opening and closing rate, opening angle, lock / unlock instructions), multi-door collaborative linkage strategies (such as pressure diversion, timing control, and pollution path blocking linkage), and dynamic priority parameters (based on a comprehensive assessment of the pollution diffusion threat level, the degree of traffic capacity attenuation, and the density of people). Its core goal is to achieve a balance between pollution isolation and evacuation efficiency by dynamically adjusting door motion and multi-door collaboration. For example, high-risk pollution path doors are closed first and linked to adjacent doors to limit flow and open, while low-risk doors adaptively adjust their opening amplitude based on traffic pressure.

[0072] Control command information is a dynamically generated set of operating instructions for each emergency one-way door, encompassing door motion parameters and linkage strategies. Motion parameters include opening and closing rate (rapid closing to block contamination or slow opening to avoid congestion), opening angle (fully open, partially open, or with flow control), and locked / unlocked status (for emergency isolation or obstacle removal). The linkage strategy involves coordinated control of multiple doors (e.g., activating adjacent doors to divert pressure after closing a contaminated path door, adjusting the timing of opening alternate channels), and priority parameters dynamically ranking door operation urgency based on contamination threat level, occupant density, and traffic capacity reduction.

[0073] The generation process is achieved by integrating hazardous area information, building structure maps and door status data: the path risk level is quantified based on the geometric correlation between the pollution diffusion direction and the channel topology; the channel pressure is evaluated by integrating the door access restriction index and the personnel density trend; the pollution arrival time window is predicted by combining the diffusion rate and the topological path length; and finally, the path risk, channel pressure and hazard timing are weighted and integrated through a dynamic priority decision model to generate control instructions suitable for multi-door collaborative linkage. For example, high-risk doors are closed first and low-risk doors are linked to divert personnel to ensure a global balance between pollution isolation and evacuation efficiency.

[0074] For example, the control command information for an emergency one-way door may include the following information: command action parameters: current-limited opening (opening and closing rate set to "medium speed"), opening angle adjusted to 45 degrees, and temporary lock release; linkage command: triggering the synchronous slow closing of the upstream door (opening angle reduced to 20%) and fully opening the remote backup channel door; priority parameter: marking the risk level of personnel detention as "very high."

[0075] S150: Sending control command information to the corresponding emergency one-way door through a preset networking channel, and completing networking control of the emergency one-way door according to the control command information. The preset networking channel includes a fiber optic main link and a LoRaWAN backup link.

[0076] The preset networking channel refers to a dual-mode communication link designed for the transmission of emergency one-way door control commands, including a fiber optic main link and a Long Range Wide Area Network (LoRaWAN) backup link. Main link-dominated transmission: The fiber optic main link gives priority to the transmission of high-real-time, high-priority commands (such as emergency shutdown and locking operations), and uses its low latency and high bandwidth characteristics to ensure millisecond-level response to critical commands. Backup link redundancy guarantee: When the main link cannot be used due to physical interruption or signal interference, the LoRaWAN backup link automatically takes over the command transmission and maintains basic communication through its wide coverage and strong anti-interference capabilities. Normal collaborative mode: When the fiber optic link is operating normally, the LoRaWAN link simultaneously undertakes the transmission of non-emergency commands (such as status feedback, parameter adjustment) and redundant control signals, realizing dual-link data cross-verification and avoiding the risk of single point failure.

[0077] For example, an emergency closing command is issued to main channel door A on the contamination diffusion path via the primary fiber link. With millisecond-level latency, the fiber link ensures that door A completes the locking action and reports the execution status within 3 seconds of receiving the command. Simultaneously, the system sends a current-limited opening command to backup channel door C via the LoRaWAN backup link, dynamically adjusting its opening angle to 90% to divert evacuation pressure. If the primary fiber link is interrupted due to a cable break between devices, the system automatically switches to the LoRaWAN backup link within 30 seconds, continuously monitoring the locking status of door A and retransmitting unconfirmed critical commands. Meanwhile, gas concentration data in the contaminated area is transmitted back to the control center via LoRaWAN's wide-area coverage capabilities. Under normal conditions, the dual links achieve data cross-validation: the electromagnetic locking command transmitted by the primary fiber link is aligned with the opening angle calibration parameters transmitted synchronously by LoRaWAN through timestamps. If the deviation between the two exceeds a threshold, a sensor review process is triggered, ensuring global consistency of multi-door coordinated control.

[0078] In one embodiment, UWB positioning data, ultrasonic obstacle detection data, and hazardous area information are integrated throughout the entire plant. A network of UWB base stations deployed throughout the plant buildings tracks personnel's dynamic location in real time. Ultrasonic sensor arrays are used to accurately identify obstacle types near each emergency door, such as stranded personnel or blocked equipment. Gas concentration sensors and diffusion models are used to predict pollution diffusion paths and high-risk area boundaries. Based on the corridor topology of the building structure map, personnel distribution trends and corridor capacity loads are analyzed. The traffic pressure index for each door is dynamically assessed, and obstacle space restriction parameters are integrated to generate a door traffic status level, providing physical space state input for the control strategy. Subsequently, a dynamic priority decision model is constructed, integrating pollution threat level, capacity degradation, and evacuation requirements to generate a set of control instructions. Emergency doors on high-risk pollution paths trigger rapid closing commands first, simultaneously activating adjacent doors in a flow-limiting mode to alleviate pressure on personnel. Reliable command transmission is ensured via a fiber-LoRaWAN dual link.

[0079] The emergency one-way door networking control method, system, device and computer-readable storage medium of the present application use UWB positioning technology to capture the three-dimensional spatial distribution of personnel in real time, and realize dynamic monitoring of path node traffic in combination with the building channel topology network, effectively predicting the path congestion tendency. Ultrasonic obstacle detection technology can accurately distinguish between physical obstacle types such as personnel retention and equipment blockage through pulse echo feature analysis, and quantify the degree of obstruction of door passage in combination with spatial restriction parameters. By integrating multi-dimensional parameters of the diffusion direction of the dangerous area, the real-time passage status of the door body and the dynamic passage demand, the generated intelligent control instructions can simultaneously optimize the efficiency of personnel evacuation and the effect of pollution isolation. The use of optical fiber and LoRaWAN dual-link redundant transmission mechanism ensures the reliable transmission of control instructions in complex industrial scenarios and significantly reduces the system response delay. The present invention improves the adaptability of the emergency one-way door control method in dangerous diffusion scenarios through closed-loop control of dynamic perception and intelligent decision-making, effectively reducing the risk of personnel retention and the probability of secondary disasters.

[0080] In one possible implementation, the building structure map includes channel connection information of the target area and location information of emergency one-way doors;

[0081] Step S120: Based on the UWB positioning data and the preset building structure map, the traffic demand information of each emergency one-way door within the target time period is generated, including: constructing a channel topology network centered on each emergency one-way door according to the location information and channel connection information, the channel topology network including the path connection relationship and traffic capacity parameters between adjacent emergency one-way doors; mapping the real-time positioning tag coordinates in the UWB positioning data to the corresponding path nodes of the channel topology network, and generating a set of personnel distribution density of each path node; within the target time period, calculating the number of personnel inflow and outflow of the path node corresponding to each emergency one-way door according to the preset time granularity; based on the number of personnel inflow and outflow of each path node, the traffic capacity parameters and the set of personnel distribution density, determining the traffic demand index of each emergency one-way door, and based on the path connection relationship, performing cross-node correction on the traffic demand index of each emergency one-way door, and generating the traffic demand information of each emergency one-way door within the target time period, the traffic demand index represents the personnel density and the degree of path congestion tendency.

[0082] Channel connection information defines the physical path relationships and traffic constraints between emergency one-way doors, including the path connection direction (one-way / two-way), path length, and traffic capacity parameters (such as the maximum allowable instantaneous flow rate) between adjacent doors. For example, in a chemical plant, adjacent doors may be connected by a one-way corridor with a path length of 15 meters and a maximum allowable instantaneous flow rate of 6 people per second. The location information of emergency one-way doors includes the spatial coordinates of the logical node and the geometric parameters of the associated channel, such as the door coordinates (X=50, Y=30) and the channel width of 2 meters and length of 20 meters. This information is used to construct the node position relationships in the channel topology network. The channel topology network is a network model with emergency one-way doors as nodes and channel connections as edges, describing the connectivity and traffic capacity constraints of paths between doors. For example, the topology network of a certain plant includes 5 nodes (doors) and 8 edges (channels), each edge annotated with path direction and capacity parameters. A path node refers to an abstracted emergency one-way door location entity in the channel topology network. Each node corresponds to the spatial coordinates of a door body and the geometric parameters of the associated channel, including dynamic constraints such as the path connection direction of adjacent doors and the traffic capacity threshold. It is used to characterize the topological relationship and traffic capacity boundary of personnel flow.

[0083] The traffic capacity parameter refers to the maximum allowable instantaneous flow threshold for each path in the channel topology network. Its value is dynamically calculated based on the geometric dimensions (width and length) of the channel in the building structure map and safe evacuation regulations. For example, a two-meter-wide channel has a capacity threshold of six people per second. The occupant density set is a spatiotemporal dataset generated by mapping UWB positioning data onto the channel topology network. It records the number of occupant location tags and their spatial clustering at each path node within a historical time window. For example, a node detected 20 tags within 10 seconds, with a peak density of 0.8 people per square meter. The traffic demand index is a quantitative indicator of the occupant density and congestion tendency at a specific path node. It is calculated by weighting the traffic flow difference, the capacity deviation coefficient, and the density trend factor. For example, a node demand index of 1.2 indicates that the current occupant density exceeds the capacity threshold by 20%. The target time period is a pre-set time window for calculating data, such as 10 seconds or 30 seconds, which is used to dynamically assess changes in traffic demand. Data collection, analysis, and control command generation must be completed within each time period.

[0084] First, a channel topology network is constructed based on the location information of emergency one-way doors and channel connectivity. Each door is abstracted as a node in a graph theory model, and each channel is abstracted as a directed edge with direction, length, and capacity attributes. For example, the Dijkstra algorithm is used to calculate the shortest path between nodes and annotate the maximum instantaneous flow parameters. Next, the three-dimensional coordinates of the UWB positioning data are mapped to the nodes in the topological network. The DBSCAN spatial clustering algorithm is used to divide the nodes into statistical regions with a radius of 3 meters. A dynamic density heat map is generated based on the change in the number of person tags within 10 seconds. The inflow and outflow flows of each node are then counted at a 10-second granularity. Time series analysis of the tag movement trajectories is performed using a Kalman filter. The transition probabilities between nodes are predicted to separate inflow and outflow data. A traffic demand index is generated through a two-stage calculation: first, the capacity deviation coefficient is calculated based on the ratio of the flow difference to the capacity threshold. For example, the deviation coefficient for the thresholds of 5 and 20 people is 0.25. Then, the slope of the density change within 10 seconds from the historical density data is extracted as a trend factor. The two factors are weighted and superimposed to form the initial demand index. Finally, the upstream and downstream node sets are extracted based on the connection direction of the topological network, and the demand index of the adjacent nodes is incorporated into the current node correction through the pressure transfer model. For example, when the upstream node index is 1.5, a correction coefficient of 0.2 is applied, and finally the globally balanced traffic demand information is output.

[0085] In one feasible implementation, based on the number of people flowing in and out of each path node, the traffic capacity parameters, and the set of people distribution density, the traffic demand index of each emergency one-way door is determined. Based on the path connectivity, the traffic demand index of each emergency one-way door is corrected across nodes to generate traffic demand information for each emergency one-way door within the target time period, including:

[0086] The absolute value of the difference between the number of people flowing in and out of each path node within the preset time granularity is calculated to generate a flow difference, and a proportional operation is performed based on the maximum allowable flow threshold and the flow difference in the traffic capacity parameter to generate a capacity deviation coefficient; the historical density data of each path node is extracted from the personnel distribution density set, the density change slope is calculated according to the time window, a density trend factor is generated, and the capacity deviation coefficient and the density trend factor are weightedly superimposed to generate an initial traffic demand index for each path node; based on the connection direction of adjacent nodes in the path connection relationship, the upstream and downstream node sets of each path node directly connected to each path node are extracted; according to the traffic capacity parameter of each path node and the initial traffic demand index of each path node in the upstream and downstream node sets, the balance coefficient of each path node is calculated, and the balance coefficient is superimposed with the initial traffic demand index to generate traffic demand information.

[0087] The capacity deviation coefficient is the ratio of the flow rate difference to the maximum allowable flow rate threshold, reflecting the degree of deviation between the current flow of people and the channel's carrying capacity. The density trend factor is extracted through time-series analysis of historical population distribution density data and represents the trend of people gathering at a specific path node. For example, if the density continues to increase within ten minutes, the trend factor is marked as positive growth.

[0088] First, based on a preset time granularity (e.g., 10 seconds), the number of people entering (entering) and leaving (leaving) each path node is counted. The absolute difference between the two is calculated to obtain the traffic flow difference. For example, if 15 people enter and 10 people leave a node within 10 seconds, the traffic flow difference is 5. The traffic flow difference is then proportionally calculated with the maximum allowable traffic flow threshold in the traffic capacity parameter to generate the capacity deviation coefficient. For example, if the maximum allowable traffic flow threshold is 2 people per second and the traffic flow difference is 5, the capacity deviation coefficient is 5 / 20 = 0.25. Then, density data within the historical time window of the current node is extracted from the population distribution density set, such as the density change sequence over the past 30 seconds. The slope of the density change over time is calculated through linear regression to generate a density trend factor. If the density continues to increase, the trend factor is positive; if it decreases, it is negative. The capacity deviation coefficient and density trend factor are weighted and superimposed (e.g., weights of 0.7 and 0.3, respectively) to generate the initial traffic demand index. Finally, based on the path connectivity of the channel topology network, the set of nodes directly upstream and downstream of the current node is extracted. The balance coefficient, such as the average of the initial demand indices of the upstream and downstream nodes, is calculated and added to the initial index of the current node to generate the traffic demand information. For example, if the average index of the upstream and downstream nodes of the current node is 0.35, the corrected index is 0.295 + 0.35 = 0.645.

[0089] In one possible implementation, step S130: determining door body traffic status information representing the degree of traffic restriction based on the obstacle category information, the spatial restriction information, and the UWB positioning data of each emergency one-way door traffic area in the UWB positioning data, includes:

[0090] If the obstacle type is human retention, the target access index is obtained by multiplying the human density value and the reflection fluctuation index. The human density value is determined based on the number of human positioning tags in the emergency one-way door passage area and the corresponding emergency one-way door channel geometric parameters in the UWB positioning data. The reflection fluctuation index is determined based on the duration of the reflected pulse and the intensity change rate of adjacent pulses in the pulse echo signal of the ultrasonic obstacle data. If the obstacle type is equipment blockage, the target access index is obtained based on the difference between the occupied space parameter and the spatial restriction information. The occupied space parameter is determined based on the distance information in the door passage direction in the ultrasonic obstacle data. The spatial restriction information is determined based on the area ratio of the occupied space parameter to the geometric boundary of the emergency one-way door passage area. Based on the proportional relationship between the target access index and the preset access capacity threshold, a target access restriction index is generated to obtain the door passage status information.

[0091] The occupant density value is calculated based on the number of occupant location tags detected within the emergency one-way door access area from UWB positioning data, combined with the geometric parameters of the doorway (such as width and length). The reflection fluctuation index generates a dynamic indicator by analyzing the pulse echo signal characteristics of ultrasonic obstacle data, extracting the duration of the reflected pulse and the rate of change in the intensity of adjacent pulses. For example, when a person is stranded, the reflected signal intensity fluctuates periodically due to body movement, while equipment obstruction results in a stable reflected signal. The occupied space parameter calculates the physical extent of the obstacle within the doorway based on the distance information in the direction of passage from the ultrasonic obstacle data. The target access index is a quantitative indicator that combines the type of obstacle and the degree of spatial restriction. When a person is stranded, it is calculated by multiplying the occupant density and the reflection fluctuation index; when equipment is blocked, it is calculated by the difference between the occupied space parameter and the spatial restriction information. The restricted access index converts the ratio of the target access index to a preset capacity threshold, such as the maximum allowable density or available space threshold, into a standardized indicator reflecting the level of restricted access within the doorway.

[0092] If the obstacle category is a stranded person, the system first extracts the number of person location tags within the emergency one-way door channel from the UWB positioning data and calculates the occupant density value based on the channel geometry parameters. Simultaneously, the system analyzes the pulse echo signals collected by the ultrasonic sensor, extracting the duration of the reflected pulse (e.g., a single reflection lasts 100 milliseconds) and the intensity change rate of adjacent pulses. If the fluctuation amplitude exceeds 20%, a weighted calculation is used to generate a reflection fluctuation index. The occupant density value is multiplied by the reflection fluctuation index to obtain the target accessibility index. For example, if the density value is 2 people / square meter and the reflection fluctuation index is 0.8, the target accessibility index is 1.6.

[0093] If the obstacle is classified as equipment obstruction, the system calculates the occupied space parameter (e.g., 1.2 square meters) based on the distance and lateral width of the obstacle measured by the ultrasonic sensor. Then, based on the total available area of the passage (e.g., 4 square meters), the system calculates the space restriction information, assuming the occupied space percentage is 30%. The target accessibility index is calculated by subtracting the occupied space parameter from the space restriction information. For example, if the occupied space parameter is 1.2 and the space restriction information is 0.3, the target accessibility index is 0.9.

[0094] Finally, the target access index is compared with the preset access capacity threshold, such as 1.5 for the personnel detention scenario and 1.0 for the equipment congestion scenario, to generate the access restriction index.

[0095] This embodiment achieves multi-dimensional precise perception by integrating UWB positioning data with ultrasonic obstacle detection technology. It uses UWB's centimeter-level positioning capability to dynamically calculate the density of people, and combines the ultrasonic reflection fluctuation characteristics (such as duration and intensity change rate) to accurately distinguish the dynamic behavior of people being stranded from the static obstacles of equipment blocking. Based on a quantitative model of spatial parameters and geometric constraints, a traffic index is generated in real time, enabling emergency one-way doors to adaptively adjust traffic strategies. For example, it triggers a diversion mechanism when the population density exceeds a threshold, or optimizes path planning when equipment is blocked, significantly improving traffic efficiency and safety in emergency scenarios.

[0096] There are three core problems in the existing technology for controlling emergency one-way doors in dangerous diffusion scenarios: First, static path planning fails to combine the geometric correlation between the building topology and the dynamic path of dangerous diffusion, resulting in a mismatch between door control instructions and real-time risk propagation trends; second, the decision-making mechanism does not consider the dynamic impact of different obstacle categories on the door's traffic efficiency, making it difficult to form a dynamic balance between evacuation needs and channel bearing pressure; third, there is a lack of systematic collaborative analysis of the arrival timing of the dangerous front and the pressure distribution of the channel network, resulting in traffic bottlenecks or redundant idleness in local areas due to unbalanced resource allocation. The lack of this multi-dimensional collaborative mechanism not only reduces emergency efficiency, but also increases the possibility of secondary risks. In order to solve the above problems, this application adopts the following embodiments.

[0097] Figure 2 A flow chart of a method for determining control instruction information corresponding to an emergency one-way door provided by an embodiment of the present application is shown.

[0098] In one possible implementation, the building structure map includes channel connection information of the target area and location information of emergency one-way doors;

[0099] like Figure 2 As shown, step S140: based on the dangerous area information, the building structure map, and the obstacle category information, the passage demand information and the door passage status information corresponding to each emergency one-way door, the control instruction information corresponding to each emergency one-way door is generated, including steps S210 to S240.

[0100] S210: Calculate the geometric correlation between the channel where each emergency one-way door is located and the diffusion path based on the channel connection information, location information, and diffusion direction in the dangerous area information, and generate a path risk parameter.

[0101] The path risk parameter is a quantitative indicator of the geometric correlation between the passageway where the emergency one-way door is located and the hazard diffusion path. It is calculated from the cosine of the angle between the diffusion direction and the channel topology, the path overlap length, and the contamination source propagation rate. It is used to assess the urgency of the contamination threat in the passageway where the door is located. This parameter reflects the urgency of the contamination threat to the passageway, with higher values indicating a greater contamination risk in the path where the door is located.

[0102] Based on the corridor topology of the building structure map, the geometric correlation between the corridor direction of each emergency door and the pollution diffusion direction is calculated. Specifically, the cosine value of the angle between the diffusion direction vector and the corridor direction vector is calculated to quantify the directional consistency. The path risk parameter is weighted by combining the path overlap length, such as the actual overlap distance between the diffusion path of the hazardous area and the corridor.

[0103] S220: According to the obstacle category information, the restricted access index in the door body access status information is linearly adjusted by the access demand index in the access demand information to generate a access efficiency correction parameter, and according to the channel connection information, the access efficiency correction parameter is topologically distributed to the network pressure to generate the channel pressure coefficient of each emergency one-way door.

[0104] The channel pressure coefficient is a dynamic parameter that reflects the contradiction between the door's traffic capacity and evacuation demand. It is generated by linearly adjusting the traffic restriction index and traffic demand index corresponding to the obstacle category, combined with the topological network pressure transfer model, to characterize the congestion risk level of the channel where the door is located.

[0105] The restricted access index is dynamically corrected based on the impact of obstacle types on the door's traffic flow. For example, in a device congestion scenario, the demand index and restricted access index are linearly superimposed to generate a traffic efficiency correction parameter. Based on the pressure transfer model of the channel topology network, for example, node pressure is distributed proportionally to the capacity of adjacent paths, the correction parameter is transferred to adjacent nodes along the topological direction to generate the channel pressure coefficient.

[0106] S230: Using a preset diffusion rate, according to the channel connection information and the path risk parameters, the predicted time for the diffusion front to reach each emergency one-way door along the channel topology direction is calculated to generate a hazard timing parameter.

[0107] The hazard timing parameters are based on the preset diffusion rate and channel topology path length to predict the remaining time window for the contamination front to reach each emergency one-way door, which is used to quantify the urgency of door operation.

[0108] Using the diffusion rate and the channel topological path length (the shortest path length from the door to the contamination source in the building structure map), we calculate the predicted time for the diffusion front to reach each emergency door, thereby generating the hazard time series parameter. The diffusion rate is determined by the contaminant propagation speed in the hazardous area information. The hazard time series parameter is equal to the topological path length divided by the diffusion rate.

[0109] S240: Perform weighted superposition of the hazard timing parameter and the channel pressure coefficient to generate a target priority parameter for each emergency one-way door, and determine the target control instruction information corresponding to the target priority parameter based on the preset correspondence between the priority parameter and the control instruction information.

[0110] The target priority parameter is a weighted parameter that combines path risk, passageway pressure, and hazard timing to determine the priority of door control command generation. Weight distribution is dynamically adjusted based on a strategy that balances the level of contamination spread threat with evacuation efficiency. The preset relationship between priority parameters and control command information refers to a pre-established mapping rule between priority parameter ranges and control command types. This is used to dynamically match door control strategies based on the target priority parameter's numerical range. This relationship includes priority interval division, command type definition, and linkage strategy configuration.

[0111] Exemplarily, the priority interval division includes dividing the target priority parameters into multiple intervals (such as high, medium, and low) according to the threat level, and each interval corresponds to a different degree of operational urgency. For example, the high priority interval corresponds to pollution blocking and emergency locking, the medium priority interval corresponds to current limiting adjustment, and the low priority interval corresponds to normal state maintenance. The instruction type refers to the allocation of specific control instruction types for each priority interval, including door action parameters (opening and closing rate, opening angle), locking status (emergency locking, unlocking) and multi-door linkage strategy (pressure diversion, pollution path blocking). The linkage strategy configuration refers to defining the coordinated operation rules of emergency doors and other doors in different priority intervals. For example, when a high-priority door is closed, the adjacent door is triggered to open with current limiting to divert personnel pressure.

[0112] First, the hazard timing parameters and the channel pressure coefficient are weighted and summed according to preset weights to generate target priority parameters. The weight distribution is dynamically adjusted based on the balance between the pollution diffusion threat level and evacuation efficiency. Then, according to the preset priority interval division rules, the target priority parameters are mapped to the corresponding control instruction type and linkage strategy. For example, high-priority parameters trigger the emergency locking command of the door and the opening and current limiting mode of the adjacent door. Medium-priority parameters generate the opening angle adjustment command. Low-priority parameters maintain the current state of the door.

[0113] This embodiment, based on geometric correlation analysis of channel topology, can accurately assess the blocking value of each emergency door in the pollutant diffusion path. By dynamically coupling and adjusting the traffic demand index and the door access restriction index, it can compensate for channel capacity loss caused by equipment blockage in real time, ensuring the accuracy of traffic efficiency prediction for evacuation paths. By integrating the diffusion dynamics model with topological path analysis, the hazard time series parameters can predict the arrival time of contamination at doors in high-risk areas in advance, providing a decision-making basis for preventive closure strategies. The spatiotemporal joint optimization mechanism overcomes the technical barriers to efficiency and safety coordination in traditional one-way door control, improving the adaptability of emergency one-way door control methods in hazard diffusion scenarios.

[0114] In one feasible embodiment, S220: Based on the obstacle category information, a linear adjustment is performed on the restricted access index in the door body access status information using the access demand index in the access demand information to generate a access efficiency correction parameter. Based on the channel connection information, a topological network pressure distribution is performed on the access efficiency correction parameter to generate a channel pressure coefficient for each emergency one-way door, including:

[0115] When the obstacle category information is equipment congestion, the traffic demand index is corrected according to the congestion level coefficient corresponding to the restricted traffic index to generate a corrected traffic demand parameter; based on the traffic capacity ratio of adjacent emergency one-way doors in the channel connection information, the corrected traffic demand parameter is pressure-transferred and distributed according to the channel topology direction to generate a pressure distribution coefficient for each emergency one-way door; the pressure distribution coefficient is weighted with the restricted traffic index in the door body traffic status information to generate a channel pressure coefficient.

[0116] The blocking level coefficient refers to a quantitative indicator based on the restricted access index, which reflects the degree of attenuation of the door's traffic capacity due to equipment blockage. This coefficient is dynamically graded according to the interval of the restricted access index. For example, the index is divided into three levels: low, medium, and high, corresponding to different correction weights. The traffic capacity ratio refers to the maximum allowable flow ratio of the channels where adjacent emergency one-way doors are located. It is calculated based on the geometric parameters (such as width and length) of the channels in the building structure map and is used for weight distribution when distributing pressure transfer. The pressure distribution coefficient refers to a dynamic parameter generated by transferring the corrected traffic demand parameters to adjacent nodes in the channel direction based on the topological network connection relationship and the traffic capacity ratio. It reflects the degree of balance of pressure diffusion in the network topology.

[0117] First, based on the access restriction index classification rules, the access restriction index in the equipment congestion scenario is mapped to a preset congestion level range (such as low, medium, and high), and a corresponding correction factor is assigned to each level. For example, the high congestion level corresponds to a coefficient of 1.5, the medium level to 1.2, and the low level to 1.0.

[0118] Afterwards, a linear adjustment formula is used to multiply the traffic demand index by the congestion level coefficient to generate a revised traffic demand parameter. For example, if the traffic demand index is 1.8 and the congestion level coefficient is 1.5, the revised parameter is 2.7, indicating that the evacuation pressure of the current channel requires additional weighted adjustment. Then, based on the channel connection information, the traffic capacity ratio of adjacent doors is extracted to construct a pressure transfer weight matrix. For example, if the capacity ratio of adjacent doors A and B is 3:2, the revised demand parameter is distributed to nodes A and B according to this ratio, generating a pressure distribution coefficient for each node. Finally, the pressure distribution coefficient is dynamically weighted and superimposed with the restricted traffic index, and the weight is dynamically adjusted according to the level of the hazard spread threat. For example, when the threat of pollution spread is high, the weight of the restricted traffic index is increased to 0.7, and the weight of the pressure distribution coefficient is reduced to 0.3, ensuring that high-risk areas are responded to first.

[0119] In one embodiment, when the obstacle category information indicates a stranded person, there's no need to modify the traffic demand index. Instead, based on the capacity ratio of adjacent emergency one-way doors in the channel connection information, the traffic demand parameter is directly distributed according to the channel topology to generate a pressure distribution coefficient for each emergency one-way door. This pressure distribution coefficient is then weighted with the restricted access index in the door's traffic status information to generate a channel pressure coefficient. The specific implementation process for this section refers to the process for generating a channel pressure coefficient for each emergency one-way door when the obstacle category information indicates equipment obstruction.

[0120] In one feasible embodiment, step S230: using a preset diffusion rate, according to channel connection information and path risk parameters, calculating the predicted time for the diffusion front to reach each emergency one-way door along the channel topology direction, and generating a hazard timing parameter, includes:

[0121] The preset diffusion rate is modified based on the path risk parameter to generate a target diffusion rate. According to the ratio of the shortest topological path length from each emergency one-way door to the hazardous area in the channel connection information and the target diffusion rate, the predicted time for the diffusion front to reach each emergency one-way door is generated to obtain the hazardous timing parameters.

[0122] The target diffusion rate is a dynamic correction to the preset diffusion rate based on the path risk parameter. It reflects the impact of the coupling relationship between different channel topologies and diffusion paths on the propagation speed of pollutants. The shortest topological path length refers to the shortest connected path distance from the diffusion source in the hazardous area to the target emergency one-way door. It is calculated based on the channel connection information of the building structure map using graph theory algorithms such as the Dijkstra algorithm.

[0123] First, the preset diffusion rate is modified based on the path risk parameter. The path risk parameter serves as a weighting factor and is multiplied by the preset diffusion rate to generate a target diffusion rate tailored to the current channel topological risk level. For example, when the path risk parameter is high, meaning the channel direction and diffusion path highly overlap, the target diffusion rate is proportionally increased from the preset value to reflect the accelerated spread of pollutants along highly correlated channels. Second, based on channel connectivity information, the shortest topological path length from each emergency door to the hazard source is extracted. A graph theory algorithm traverses the connected paths in the channel network, identifying the shortest topological path. This path is then combined with the target diffusion rate to calculate the predicted time. Finally, the shortest topological path length is divided by the target diffusion rate to generate a set of predicted times for the diffusion front to reach each door, which is output as a hazard timing parameter. This parameter is used in subsequent priority decision models to ensure that the generation of door control instructions is synchronized with the spatiotemporal evolution of pollution diffusion.

[0124] For example, assume that the pollution source is located in the southeast corner of the factory building, and the diffusion direction vector points to the northwest. The channel topology network is extracted through the building structure map, and the Dijkstra algorithm is used to calculate the shortest topological path length from each emergency door to the pollution source. For example, the cosine value of the angle between the main channel where a certain emergency door is located and the diffusion path direction is 0.9, the path overlap length accounts for 80% of the total channel length, and the path risk parameter is calculated to be a high level. Based on this parameter, the preset diffusion rate is corrected to the target diffusion rate, such as increasing it to 1.2 times the original rate. Subsequently, the shortest topological path length of the door body and the target diffusion rate are combined to calculate the predicted time for the diffusion front to reach the door, and the predicted time set is obtained as the hazard timing parameter output.

[0125] In one implementation, the geometric correlation between each emergency door's channel and the contaminated path is calculated based on the building structure map's channel topology and the diffusion direction of the hazardous area. A path risk parameter is then weighted by the cosine of the vector angle and the path overlap length to quantify the severity of the contamination threat to the channel. Secondly, the restricted access index is dynamically modified based on the obstacle type. In equipment congestion scenarios, the congestion level coefficient is used to adjust the access demand parameter. Topological network pressure is distributed based on the capacity ratio of adjacent doors, generating a channel pressure coefficient that reflects the risk of channel congestion.

[0126] The pollutant diffusion rate is further corrected based on the path risk parameter, and the predicted arrival time of each emergency door is calculated in combination with the shortest topological path length to generate the hazard timing parameter. Finally, the hazard timing parameter and the channel pressure coefficient are superimposed according to the dynamic weight to obtain the target priority parameter, and the control instruction type is matched according to the preset priority interval mapping rule. For example, high-priority parameters trigger the door emergency locking instruction and the adjacent door flow limiting linkage strategy, medium-priority parameters generate the opening angle adjustment instruction, and low-priority parameters maintain the current state. This method achieves a dynamic balance between pollution diffusion blocking and personnel evacuation efficiency through a spatiotemporal joint optimization mechanism, significantly improving safety and evacuation efficiency in emergency scenarios.

[0127] Based on the same concept, the embodiment of the present application provides an emergency one-way door network control system. Figure 3 The emergency one-way door network control system provided in the embodiment of the present application is described in detail.

[0128] Figure 3 This is a structural block diagram of an emergency one-way door network control system shown in an embodiment of the present application. Figure 3 As shown, the emergency one-way door network control system may include:

[0129] An acquisition module 310 is configured to acquire UWB positioning data within a target area, ultrasonic obstacle data corresponding to an emergency one-way door, and dangerous area information;

[0130] A generation module 320 is configured to generate traffic demand information for each emergency one-way door within a target time period based on the UWB positioning data and a preset building structure map;

[0131] Determination module 330 is configured to determine obstacle category information and spatial restriction information corresponding to each emergency one-way door based on the ultrasonic obstacle data corresponding to each emergency one-way door, and determine door passage status information representing the degree of passage restriction based on the obstacle category information, spatial restriction information, and UWB positioning data of the passage area of each emergency one-way door in the UWB positioning data. Obstacle category information includes personnel stranded and equipment blocked.

[0132] The generation module 320 is further configured to generate control instruction information corresponding to each emergency one-way door based on the dangerous area information, the building structure map, and the obstacle category information, the passage requirement information, and the door passage status information corresponding to each emergency one-way door;

[0133] The control module 340 is used to send control instruction information to the corresponding emergency one-way door through a preset networking channel and complete the networking control of the emergency one-way door according to the control instruction information. The preset networking channel includes a fiber optic main link and a LoRaWAN backup link.

[0134] In one embodiment, the building structure map includes channel connection information of the target area and location information of the emergency one-way door; the generation module 320 is specifically used to construct a channel topology network centered on each emergency one-way door based on the location information and channel connection information, and the channel topology network includes the path connection relationship and traffic capacity parameters between adjacent emergency one-way doors; the real-time positioning tag coordinates in the UWB positioning data are mapped to the corresponding path nodes of the channel topology network to generate a set of personnel distribution density of each path node; within the target time period, the number of personnel inflow and outflow of the path node corresponding to each emergency one-way door is calculated according to the preset time granularity; based on the number of personnel inflow and outflow of each path node, the traffic capacity parameters and the personnel distribution density set, the traffic demand index of each emergency one-way door is determined, and based on the path connection relationship, the traffic demand index of each emergency one-way door is corrected across nodes to generate traffic demand information of each emergency one-way door within the target time period, and the traffic demand index represents the density of personnel and the degree of path congestion tendency.

[0135] In one embodiment, the generation module 320 is specifically used to calculate the absolute value of the difference between the number of people flowing in and the number of people flowing out of each path node within a preset time granularity, generate a flow difference, and perform a proportional operation based on the maximum allowable flow threshold and the flow difference in the traffic capacity parameter to generate a capacity deviation coefficient; extract the historical density data of each path node from the personnel distribution density set, calculate the density change slope according to the time window, generate a density trend factor, and weightedly superimpose the capacity deviation coefficient and the density trend factor to generate an initial traffic demand index for each path node; based on the connection direction of adjacent nodes in the path connection relationship, extract the upstream and downstream node sets of each path node directly connected to each path node; calculate the balance coefficient of each path node based on the traffic capacity parameter of each path node and the initial traffic demand index of each path node in the upstream and downstream node sets, and superimpose the balance coefficient with the initial traffic demand index to generate traffic demand information.

[0136] In one embodiment, the determination module 330 is specifically configured to obtain a target traffic index based on the product of a traffic density value and a reflection fluctuation index when the obstacle category is human retention. The traffic density value is determined based on the number of traffic location tags in the emergency one-way door passage area in the UWB positioning data and the corresponding geometric parameters of the emergency one-way door channel. The reflection fluctuation index is determined based on the duration of the reflected pulse and the intensity change rate of adjacent pulses in the pulse echo signal of the ultrasonic obstacle data. When the obstacle category is equipment blockage, the target traffic index is obtained based on the difference between the occupied space parameter and the space restriction information. The occupied space parameter is determined based on the distance information in the door passage direction in the ultrasonic obstacle data. The space restriction information is determined based on the area ratio of the occupied space parameter to the geometric boundary of the passage area of the emergency one-way door. Based on the proportional relationship between the target traffic index and the preset traffic capacity threshold, a target traffic restriction index is generated to obtain the door passage status information.

[0137] In one embodiment, the building structure map includes channel connection information of the target area and location information of the emergency one-way door; the generation module 320 is specifically used to calculate the geometric correlation between the channel where each emergency one-way door is located and the diffusion path based on the channel connection information and location information and the diffusion direction in the dangerous area information, and generate a path risk parameter; according to the obstacle category information, the traffic restriction index in the door traffic status information is linearly adjusted by the traffic demand index in the traffic demand information to generate a traffic efficiency correction parameter, and according to the channel connection information, the traffic efficiency correction parameter is topologically distributed to generate a channel pressure coefficient for each emergency one-way door; using a preset diffusion rate, according to the channel connection information and the path risk parameter, the predicted time for the diffusion front to reach each emergency one-way door along the channel topological direction is calculated to generate a hazard timing parameter; the hazard timing parameter and the channel pressure coefficient are weighted and superimposed to generate a target priority parameter for each emergency one-way door, and according to the correspondence between the preset priority parameter and the control instruction information, the target control instruction information corresponding to the target priority parameter is determined.

[0138] In one embodiment, the generation module 320 is specifically used to correct the traffic demand index according to the congestion level coefficient corresponding to the restricted traffic index when the obstacle category information is equipment congestion, and generate a corrected traffic demand parameter; based on the traffic capacity ratio of adjacent emergency one-way doors in the channel connection information, the corrected traffic demand parameter is pressure-transferred and distributed in the channel topology direction to generate a pressure distribution coefficient for each emergency one-way door; the pressure distribution coefficient is weighted with the restricted traffic index in the door body traffic status information to generate a channel pressure coefficient.

[0139] In one embodiment, the generation module 320 is specifically used to correct the preset diffusion rate based on the path risk parameter to generate a target diffusion rate; based on the ratio of the shortest topological path length from each emergency one-way door to the dangerous area in the channel connection information and the target diffusion rate, the predicted time for the diffusion front to reach each emergency one-way door is generated to obtain the dangerous timing parameter.

[0140] Figure 3 Each module in the device shown has the function of realizing Figure 1 and Figure 2 The functions of each step in the embodiment can achieve the corresponding technical effects, which will not be described in detail here for the sake of brevity.

[0141] Figure 4 A schematic diagram of the hardware structure of an electronic device provided in one embodiment of the present application is shown.

[0142] The electronic device may include a processor 410 and a memory 420 storing computer program instructions.

[0143] Specifically, the processor 410 may include a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0144] The memory 420 may include a large capacity memory for data or instructions. By way of example and not limitation, the memory 420 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. Where appropriate, the memory 420 may include removable or non-removable (or fixed) media. Where appropriate, the memory 420 may be inside or outside the integrated gateway disaster recovery device. In a specific embodiment, the memory 420 is a non-volatile solid-state memory.

[0145] The memory may include a read-only memory (ROM), a random access memory (RAM), a magnetic disk storage medium device, an optical storage medium device, a flash memory device, an electrical, optical or other physical / tangible memory storage device. Thus, generally, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., a memory device) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the method according to the first aspect of the present disclosure.

[0146] The processor 410 reads and executes computer program instructions stored in the memory 420 to implement any one of the emergency one-way door networking control methods in the above embodiments.

[0147] In one example, the electronic device may further include a communication interface 430 and a bus 440. Figure 4 As shown, the processor 410 , the memory 420 , and the communication interface 430 are connected via a bus 440 and communicate with each other.

[0148] The communication interface 430 is mainly used to implement communication between various modules, devices, units and / or equipment in the embodiments of the present application.

[0149] Bus 440 includes hardware, software or both, and the parts of online data flow metering equipment are coupled to each other. For example, but not limitation, bus can include accelerated graphics port (AGP) or other graphics bus, enhanced industry standard architecture (EISA) bus, front side bus (FSB), hypertransport (HT) interconnection, industry standard architecture (ISA) bus, infinite bandwidth interconnection, low pin count (LPC) bus, memory bus, micro channel architecture (MCA) bus, peripheral component interconnection (PCI) bus, PCI-Express (PCI-X) bus, serial advanced technology attachment (SATA) bus, video electronics standard association local (VLB) bus or other suitable bus or two or more of these combinations. In appropriate cases, bus 440 can include one or more buses. Although the present application embodiment describes and shows specific bus, the application considers any suitable bus or interconnection.

[0150] The electronic device can execute the emergency one-way door networking control method in the embodiment of the present application, thereby realizing the combination Figure 1 and Figure 2 The invention describes a network control method for emergency one-way doors.

[0151] In addition, in conjunction with the above-mentioned emergency one-way door network control method, the present application can provide a computer-readable storage medium for implementation. The computer-readable storage medium stores computer program instructions; when the computer program instructions are executed by a processor, any of the above-mentioned emergency one-way door network control methods can be implemented.

[0152] It should be understood that the present application is not limited to the specific configurations and processes described above and illustrated in the figures. For the sake of brevity, a detailed description of known methods is omitted here. In the above embodiments, several specific steps are described and illustrated as examples. However, the method process of the present application is not limited to the specific steps described and illustrated. Those skilled in the art can make various changes, modifications, and additions, or change the order of the steps after understanding the spirit of the present application.

[0153] The functional blocks shown in the above-described block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of the present application are programs or code segments that are used to perform the required tasks. The program or code segment can be stored in a machine-readable medium, or transmitted on a transmission medium or a communication link by a data signal carried in a carrier wave. "Machine-readable medium" can include any medium that can store or transmit information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROMs, flash memories, erasable ROMs (EROMs), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segment can be downloaded via a computer network such as the Internet, an intranet, etc.

[0154] It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, this application is not limited to the order of the above steps. In other words, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0155] Aspects of the present application have been described above with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each box in the flowchart and / or block diagram and the combination of each box in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer or other programmable data processing device to produce a machine so that these instructions executed via the processor of the computer or other programmable data processing device enable the implementation of the function / action specified in one or more boxes of the flowchart and / or block diagram. This processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor or a field programmable logic circuit. It is also understood that each box in the block diagram and / or the flowchart and the combination of the boxes in the block diagram and / or the flowchart can also be implemented by the dedicated hardware that performs the specified function or action, or can be implemented by the combination of dedicated hardware and computer instructions.

[0156] The above description is only a specific embodiment of the present application. Those skilled in the art will clearly understand that for the convenience and brevity of description, the specific working processes of the systems, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. It should be understood that the scope of protection of the present application is not limited thereto. Any person skilled in the art can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the scope of protection of the present application.

Claims

1. A method for controlling an emergency one-way door through networking, characterized in that: include: Obtain UWB positioning data within the target area, ultrasonic obstacle data corresponding to the emergency one-way door, and dangerous area information; Based on the UWB positioning data and a preset building structure map, generating access demand information for each emergency one-way door within a target time period; Determining obstacle category information and spatial restriction information corresponding to each emergency one-way door based on the ultrasonic obstacle data corresponding to each emergency one-way door, and determining door passage status information representing the degree of passage restriction based on the obstacle category information, the spatial restriction information, and the UWB positioning data of the passage area of each emergency one-way door in the UWB positioning data, wherein the obstacle category information includes personnel stranded and equipment blocked; Generate control instruction information corresponding to each emergency one-way door based on the dangerous area information, the building structure map, and the obstacle category information, the passage requirement information, and the door passage status information corresponding to each emergency one-way door; The control instruction information is sent to the corresponding emergency one-way door through a preset networking channel, and the networking control of the emergency one-way door is completed according to the control instruction information. The preset networking channel includes a fiber optic main link and a LoRaWAN backup link.

2. The method according to claim 1, characterized in that The building structure map includes channel connection information of the target area and location information of emergency one-way doors; The generating of the access demand information of each emergency one-way door within the target time period based on the UWB positioning data and the preset building structure map includes: Constructing a channel topology network centered on each emergency one-way door based on the location information and channel connection information, wherein the channel topology network includes path connection relationships and traffic capacity parameters between adjacent emergency one-way doors; Mapping the real-time positioning tag coordinates in the UWB positioning data to corresponding path nodes of the channel topology network to generate a personnel distribution density set for each path node; During the target time period, the number of people flowing in and out of the path node corresponding to each emergency one-way door is calculated according to the preset time granularity; Based on the number of people flowing in and out of each path node, the traffic capacity parameters and the set of people distribution density, the traffic demand index of each emergency one-way door is determined, and based on the path connection relationship, the traffic demand index of each emergency one-way door is corrected across nodes to generate the traffic demand information of each emergency one-way door in the target time period. The traffic demand index represents the density of people and the degree of path congestion tendency.

3. The method according to claim 2, characterized in that The method of determining the traffic demand index of each emergency one-way door based on the number of people flowing in and out of each path node, the traffic capacity parameter, and the set of people distribution densities, and performing cross-node correction on the traffic demand index of each emergency one-way door based on the path connection relationship to generate the traffic demand information of each emergency one-way door within the target time period includes: Calculate the absolute value of the difference between the number of people flowing in and out of each path node within a preset time granularity to generate a flow difference value, and perform a proportional operation based on the maximum allowable flow threshold in the traffic capacity parameter and the flow difference value to generate a capacity deviation coefficient; Extracting historical density data of each path node from the population distribution density set, calculating the density change slope by time window, generating a density trend factor, and weightedly superimposing the capacity deviation coefficient and the density trend factor to generate an initial traffic demand index for each path node; Extracting a set of upstream and downstream nodes of each path node directly connected to each path node based on the adjacent node connection direction in the path connection relationship; According to the traffic capacity parameter of each path node and the initial traffic demand index of each path node in the upstream and downstream node set, the balance coefficient of each path node is calculated, and the balance coefficient is superimposed with the initial traffic demand index to generate the traffic demand information.

4. The method according to claim 1, wherein The determining of door body passage state information representing a degree of passage restriction based on the obstacle category information, the space restriction information, and the UWB positioning data of each emergency one-way door passage area in the UWB positioning data includes: When the obstacle type is a stranded person, a target passage index is obtained according to the product of a person density value and a reflection fluctuation index, wherein the person density value is determined according to the number of person positioning tags in the emergency one-way door passage area in the UWB positioning data and the corresponding emergency one-way door channel geometric parameters, and the reflection fluctuation index is determined according to the duration of the reflected pulse and the intensity change rate of adjacent pulses in the pulse echo signal of the ultrasonic obstacle data; When the obstacle type is equipment obstruction, the target traffic index is obtained based on the difference between an occupied space parameter and space restriction information, wherein the occupied space parameter is determined based on distance information in the door passage direction in the ultrasonic obstacle data, and the space restriction information is determined based on the ratio of the occupied space parameter to the geometric boundary of the passage area of the emergency one-way door; Based on the proportional relationship between the target traffic index and the preset traffic capacity threshold, a target traffic restriction index is generated to obtain the door traffic status information.

5. The method according to claim 1, wherein The building structure map includes channel connection information of the target area and location information of emergency one-way doors; The generating of control instruction information corresponding to each emergency one-way door based on the dangerous area information, the building structure map, and the obstacle category information, the passage requirement information, and the door passage status information corresponding to each emergency one-way door includes: Calculate the geometric correlation between the channel where each emergency one-way door is located and the diffusion path based on the channel connection information, the location information, and the diffusion direction in the dangerous area information to generate a path risk parameter; Based on the obstacle category information, a linear adjustment is performed on the restricted access index in the door body access status information using the access demand index in the access demand information to generate a access efficiency correction parameter. Based on the channel connection information, a topological network pressure distribution is performed on the access efficiency correction parameter to generate a channel pressure coefficient for each emergency one-way door. Using a preset diffusion rate, according to the channel connection information and the path risk parameter, the predicted time for the diffusion front to reach each emergency one-way door along the channel topology direction is calculated to generate a hazard timing parameter; The hazard timing parameter and the channel pressure coefficient are weighted and superimposed to generate the target priority parameter of each emergency one-way door, and the target control instruction information corresponding to the target priority parameter is determined according to the corresponding relationship between the preset priority parameter and the control instruction information.

6. The method according to claim 5, characterized in that According to the obstacle category information, the restricted access index in the door body access status information is linearly adjusted by the access demand index in the access demand information to generate a access efficiency correction parameter, and according to the channel connection information, the access efficiency correction parameter is topologically distributed to distribute the pressure in the network to generate a channel pressure coefficient for each emergency one-way door, including: When the obstacle category information is equipment congestion, the traffic demand index is corrected according to the congestion level coefficient corresponding to the traffic restriction index to generate a corrected traffic demand parameter; Based on the traffic capacity ratio of adjacent emergency one-way doors in the channel connection information, the modified traffic demand parameter is pressure-distributed according to the channel topology direction to generate a pressure distribution coefficient for each emergency one-way door; The pressure distribution coefficient and the restricted passage index in the door passage status information are weighted to generate a channel pressure coefficient.

7. The method according to claim 5, characterized in that The method uses a preset diffusion rate, calculates the predicted time for the diffusion front to reach each emergency one-way door along the channel topology direction according to the channel connection information and the path risk parameter, and generates a hazard timing parameter, including: Modifying the preset diffusion rate based on the path risk parameter to generate a target diffusion rate; According to the ratio of the shortest topological path length from each emergency one-way door to the dangerous area in the channel connection information and the target diffusion rate, a predicted time for the diffusion front to reach each emergency one-way door is generated to obtain the dangerous timing parameter.

8. An emergency one-way door network control system, characterized in that: The system comprises: The acquisition module is used to obtain UWB positioning data within the target area, ultrasonic obstacle data corresponding to the emergency one-way door, and dangerous area information; A generation module, configured to generate, based on the UWB positioning data and a preset building structure map, traffic demand information for each emergency one-way door within a target time period; a determination module for determining, based on the ultrasonic obstacle data corresponding to each emergency one-way door, obstacle category information and spatial restriction information corresponding to each emergency one-way door, and determining, based on the obstacle category information, the spatial restriction information, and the UWB positioning data of the passage area of each emergency one-way door in the UWB positioning data, door passage status information representing the degree of passage restriction, wherein the obstacle category information includes personnel stranded and equipment blocked; The generation module is further configured to generate control instruction information corresponding to each emergency one-way door based on the dangerous area information, the building structure map, and the obstacle category information, the passage requirement information, and the door passage status information corresponding to each emergency one-way door; The control module is used to send the control instruction information to the corresponding emergency one-way door through a preset networking channel, and complete the networking control of the emergency one-way door according to the control instruction information. The preset networking channel includes a fiber optic main link and a LoRaWAN backup link.

9. An electronic device, characterized in that: The device includes: a processor and a memory storing computer program instructions; When the processor executes the computer program instructions, the emergency one-way door networking control method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer program instructions, and when the computer program instructions are executed by a processor, the emergency one-way door networking control method according to any one of claims 1 to 7 is implemented.

Images