Remote door control system based on Internet of Things

Abstract

The invention relates to the technical field of remote control, in particular to a remote door control system based on the Internet of Things, which comprises an environment state acquisition module, a risk level generation module, an alarm position positioning module, a door control path sorting module and a door control strategy linkage module. According to the method, the surrounding environment state of the roller shutter door is monitored in real time, abnormal information can be accurately obtained, quantitative risk levels are formed by combining the types and the number of abnormal parameters, the positions of the door control units in the risk area are rapidly positioned according to geographic coordinate information, meanwhile, passable paths are intelligently screened, the passing path with the shortest path is preferentially selected, and the risk of the roller shutter door is improved. The method effectively avoids path congestion and unnecessary time delay, automatically matches the closing speed for different risk levels, ensures rapid gating response of a high-risk area, reduces the accident diffusion probability, synchronously records the closing state information of each gating unit, guarantees the visualization and real-time performance of remote control, and improves the safety of the system. And the remote control effect of the door control area of the wind-resistant and fire-resistant rolling shutter door is integrally improved.

Description

Technical Field

[0001] The present invention relates to the field of remote control technology, and in particular to a remote door control system based on the Internet of Things. Background Art

[0002] The field of remote control technology involves off-site control of equipment, systems or facilities through wired or wireless means, including the sending and receiving of control signals, remote monitoring and management of equipment status, remote start and stop of actuators, etc. It covers multiple application directions such as industrial automation, smart home, traffic management, security monitoring, etc. Among them, the Internet of Things remote door control system refers to a system that uses the Internet and various sensor devices to realize remote switching and status monitoring of door control devices. It is mainly aimed at the remote control and management of door control systems. Traditional Internet of Things remote door control systems usually connect door control terminals to the Internet through wireless communication, send control commands with the help of mobile terminals or computer platforms, and combine specific devices such as electric door locks, wireless sensors, and identity authentication units to realize remote opening, closing and status feedback of door control.

[0003] The existing wind-resistant and fire-proof rolling shutter door control process only relies on the door control terminal to access the Internet through wireless communication to achieve remote switching and status feedback. It lacks comprehensive perception of the environmental status of the gated area and cannot grasp multi-dimensional risk information such as temperature, smoke and carbon monoxide around the rolling shutter door in real time. In the event of emergencies such as fire or toxic gas leakage, the door control strategy cannot be dynamically adjusted according to environmental changes, which easily leads to delayed remote control response and lacks path screening and optimization methods. If the access path is blocked or the layout is complex, it is easy to have unreasonable closed path problems, which ultimately affects the overall response efficiency and safety assurance capabilities of the door control system in emergency environments. Summary of the Invention

[0004] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a remote door control system based on the Internet of Things.

[0005] In order to achieve the above object, the present invention adopts the following technical solution: A remote door control system based on the Internet of Things includes: The environmental status acquisition module obtains real-time monitoring data from environmental sensors, determines whether each monitoring data is within the normal range, records abnormal marking information, and generates environmental status information around the rolling shutter door; The risk level generation module screens abnormal environmental parameters according to the environmental status information of the rolling door surroundings, counts the types and quantities of abnormal parameters, assigns them in different levels, and generates risk level information of the gated area in combination with the risk level standard; The alarm location positioning module obtains the geographical coordinates of the fire alarm based on the risk level information of the gated area, compares the spatial distance between each gated unit and the alarm coordinates, selects the gated unit with the closest distance as the primary response target, and generates gated response location information; The gate path sorting module combines the gate response position information, the gate unit spatial layout information and the passable status of the channel node to form all passable paths, selects the shortest passable path, and generates the rolling door closing path sorting information; The gate control strategy linkage module combines the shutter door closing path sorting information with the gate control area risk level information, determines the closing operation according to the risk level and executes the closing action to generate an IoT remote shutter door gate control solution.

[0006] As a further solution of the present invention, the surrounding environmental status information of the rolling shutter door includes the temperature status marking results, the shading rate status marking results, and the carbon monoxide status marking results; the gated area risk level information includes the number of abnormal parameters, the type of abnormal parameters, and the comprehensive risk level value; the gated response location information includes the primary response gated unit identifier, the primary response gated unit geographic location, and the primary response gated unit spatial distance; the rolling shutter door closing path sorting information includes a list of accessible paths, the shortest path identifier, and the path length data; the Internet of Things remote rolling shutter door gating solution includes a closing operation strategy, a closing path sequence, and a closing status record of each gated unit.

[0007] As a further solution of the present invention, the environmental status acquisition module includes: The temperature monitoring submodule obtains temperature sensor data around the fire shutter door, reads the real-time temperature value and compares it point by point with the set temperature threshold. If the temperature is greater than the threshold, it identifies a high temperature condition, identifies and classifies the abnormal sensor, and generates temperature limit mark data; The shading rate recognition submodule obtains the shading rate change data of the smoke sensors around the fire shutter door, identifies whether the shading value exceeds the alarm standard based on the shading rate alarm threshold, marks and summarizes the abnormal sections, and obtains the shading rate alarm mark data; The carbon monoxide concentration determination submodule obtains the current concentration data of the carbon monoxide sensor in the area around the rolling shutter door, combines the temperature limit mark data and the shading rate alarm mark data as the correlation basis, comprehensively determines the current concentration value and the carbon monoxide concentration limit value, determines whether there is a concentration exceeding the standard in the area, and statistically generates the environmental status information around the rolling shutter door.

[0008] As a further solution of the present invention, the risk level generation module includes: The abnormal screening submodule identifies whether each type of abnormal element meets the set abnormal identification criteria based on the environmental status information of the rolling shutter door, performs marking screening on the parameter items that meet the conditions, and uniformly records the number and type of abnormalities according to the type of abnormality, and integrates and generates statistical results of the number of abnormal environmental parameters; The risk assessment submodule, based on the statistical results of the abnormal environmental parameters and the weight relationship set for the three factors of temperature, smoke, and carbon monoxide in the preset risk weight rules, combines and evaluates the abnormal states attributed to each parameter based on the corresponding quantity and type information. According to the established rule framework in the risk weight matrix, the influencing factors of each type of abnormality are summarized into a unified indicator expression to obtain the risk coefficient of the gated area; The level assignment submodule makes a level judgment on the interval of the current risk coefficient based on the risk coefficient of the gated area, refers to the risk level standard range, and takes the gated area as the basic unit, and maps the judgment result to each level label to obtain the risk level information of the gated area.

[0009] As a further solution of the present invention, the alarm position positioning module includes: The coordinate acquisition submodule obtains the risk level information of the gated area, filters the area number, extracts the geographic location data of the corresponding gated unit, reads the coordinates uploaded by the positioning component configured in the gated unit, and extracts the fire alarm coordinates uploaded by the IoT alarm unit in the same period, matches the corresponding timestamp and spatial tag, extracts the alarm coordinate point set within the sampling period, and obtains the alarm geographic coordinate information group; The spatial comparison submodule performs a spatial distance comparison operation on each set of alarm coordinates and the coordinates of each gate control unit based on the alarm geographic coordinate information group, calculates the spatial distance from the alarm point to the gate control unit, and sorts the distances to form a gate control unit distance sequence from near to far. The response positioning submodule screens the minimum distance gate control unit corresponding to each group of alarm points according to the gate control unit distance sequence, extracts the corresponding number, spatial coordinates and area identification information, merges and organizes them, outputs the minimum distance gate control target corresponding to the alarm coordinates, and obtains the gate control response position information.

[0010] As a further solution of the present invention, the gated path sorting module includes: The path node screening submodule extracts the channel node number, node coordinate information, and node connection relationship associated with each response gate based on the gate response position information, performs a judgment operation on all channel nodes based on their traffic status, screens and obtains a set of nodes with traffic capability, and obtains a set of traffic nodes; The path combination submodule performs a path combination operation based on the pass node set and the connection status of the starting gate node and the ending gate node in the spatial structure, marks the node number sequence of each connection path, retains the complete path sequence that meets the start and end connection conditions, and obtains the full path node sequence set; The path sorting decision submodule performs path structure analysis based on the full path node sequence set and the arrangement order of the nodes in the spatial structure, identifies the node connection relationship segment by segment, judges the path compactness based on the continuity of the path structure and the node density, selects the path sequence with the most compact structure and the least number of connection segments among all the paths, arranges the node numbering order of the corresponding path as the output content, and obtains the rolling shutter door closing path sorting information.

[0011] As a further solution of the present invention, the gating strategy linkage module includes: The risk status determination submodule calculates and obtains the risk status value of the gated area based on the rolling door closing path sorting information and the gated area risk level information, compares it with the reference value, outputs the judgment result and obtains the gated area risk status label set; The closure strategy generation submodule compares the label value of each gate control unit with the closure path sequence of its corresponding node according to the risk status label set of the gated area, reads the closure path sorting number, determines the closure strategy according to the label value of each gate control unit, and obtains the path closure control instruction set; The linkage execution recording submodule controls each door control unit to perform the closing action according to the closing sequence number according to the path closing control instruction set, reads the response feedback signal of the execution node and records the response timestamp until all closing instructions are responded and recorded, and organizes the closing status codes and closing time periods of all door control units to obtain the IoT remote rolling door control solution.

[0012] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by real-time monitoring of the environmental status of the rolling shutter door, abnormal information can be accurately obtained, and a quantitative risk level can be formed by combining the type and quantity of abnormal parameters. Relying on geographic coordinate information, the position of the gate control unit in the risk area can be quickly located, and at the same time, the accessible paths can be intelligently screened, and the shortest path can be given priority to effectively avoid path congestion and unnecessary delays. For different risk levels, the closing speed is automatically matched to ensure that the gate control in the higher-risk area responds quickly and reduces the probability of accident spread. At the same time, the closing status information of each gate control unit is synchronously recorded to ensure the visualization and real-time performance of remote control, thereby improving the remote control effect of the gate control area of ​​the wind-resistant and fire-proof rolling shutter door as a whole. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 is a system flow chart of the present invention; Figure 2 This is a flow chart of the environment status acquisition module of the present invention; Figure 3 A flow chart of the risk level generation module for the present invention; Figure 4 This is a flow chart of the alarm location positioning module of the present invention; Figure 5 This is a flow chart of the gating pathway sorting module of the present invention; Figure 6 This is a flow chart of the gating strategy linkage module of the present invention. DETAILED DESCRIPTION

[0014] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0015] In the description of the present invention, it should be understood that the terms "length," "width," "up," "down," "front," "back," "left," "right," "vertical," "horizontal," "top," "bottom," "inside," "outside," and the like, indicating positions or relationships, are based on the positions or relationships shown in the accompanying drawings and are intended only to facilitate the description of the present invention and simplify the description. They do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limiting the present invention. Furthermore, in the description of the present invention, "plurality" means two or more, unless otherwise expressly and specifically defined.

[0016] See also Figure 1 , a remote door control system based on the Internet of Things includes: The environmental status acquisition module obtains real-time monitoring data of temperature sensors, smoke sensors, and carbon monoxide sensors installed around wind-resistant and fire-resistant rolling shutter doors in large public places, industrial plants, and underground spaces, and uses temperature thresholds (70°C is set as the first-level alarm threshold), shading rate alarm thresholds (implementing GB50116-2013 settings), and ), carbon monoxide concentration limit (using OSHAPEL standard 35ppm), judge whether each monitoring data is within the normal range. If any monitoring data exceeds the normal range, record the abnormal mark information and generate the environmental status information around the rolling door; The risk level generation module uses the environmental status information around the rolling door and preset risk weighting rules (including a risk weight matrix for temperature, smoke, and carbon monoxide) to screen environmental parameters that have been marked as abnormal, count the types and numbers of abnormal parameters, assign grades based on the statistical results, and combine them with risk level standards (implementing the multi-sensor fusion algorithm of the "Fire Detection and Alarm System") to generate risk level information for the gated area. The alarm location module obtains the geographical coordinates of the fire alarm uploaded by the IoT alarm unit (in accordance with the "Geographic Point Position Coordinate Representation" standard) based on the risk level information of the gated area. It then calculates the location coordinates of each wind-resistant and fire-resistant rolling shutter door control unit, compares the spatial distance between each control unit and the alarm coordinates, sorts them from closest to farthest, selects the closest control unit as the primary response target, and generates gated response location information. The gate control path sorting module screens the channel nodes based on the gate control response position information, combines the spatial layout information of the rolling door gate control unit and the passable status of the channel nodes, eliminates inaccessible paths, combines all passable paths, sorts them according to path length, selects the shortest passable path, and generates the rolling door closing path sorting information; The gate control strategy linkage module combines the rolling shutter door closing path sorting information with the gated area risk level information, determines the current risk status of the rolling shutter door gated area based on the risk level, and determines the closing operation (if the risk level is less than 0.5, it means the risk is low and a slow closing speed is selected; if the risk level is greater than or equal to 0.5, it means the risk is high and a fast closing speed is selected). The closing action is executed in the sorted path order, the closing status of each gate control unit is synchronously recorded, and an IoT remote rolling shutter door control solution is generated.

[0017] The surrounding environmental status information of the rolling shutter door includes the temperature status marking results, the shading rate status marking results, and the carbon monoxide status marking results. The risk level information of the gated area includes the number of abnormal parameters, the type of abnormal parameters, and the comprehensive risk level value. The gated response location information includes the primary response gated unit identification, the primary response gated unit geographical location, and the primary response gated unit spatial distance. The rolling shutter door closing path sorting information includes the list of accessible paths, the shortest path identification, and the path length data. The IoT remote rolling shutter door control solution includes the closing operation strategy, the closing path sequence, and the closing status records of each gated unit.

[0018] See also Figure 2 , the environmental status acquisition module includes: The temperature monitoring submodule obtains temperature sensor data around the fire shutter door, reads the real-time temperature value and compares it point by point with the set temperature threshold. If the temperature is greater than the threshold, it identifies a high temperature condition, identifies and classifies the abnormal sensor, and generates temperature limit mark data; To obtain the temperature sensor data installed around the fire shutter door, it is necessary to select the exposed structural areas in large public places or underground spaces as sampling points, and install temperature monitoring nodes respectively. The collection cycle is set to once every 3 seconds to achieve continuous data recording. The data is the real-time temperature value in °C. For example, 5 monitoring points are set in the underground garage, numbered T1 to T5. The temperatures recorded in a certain inspection are 65.3°C, 71.8°C, 68.2°C, 72.4°C, and 66.1°C respectively. By calling the real-time temperature collection value and comparing it with the preset temperature threshold of 70°C, it is judged that the corresponding values ​​of T2 and T4 exceed the set upper limit. The sensor numbers and corresponding collection data to which they belong need to be marked and registered, and then a temperature anomaly registration list is generated. In this process, the response time of the temperature sensor needs to be calibrated first to confirm that its error range does not exceed ±0.5°C, and then data screening is performed. The data screening process Short-term data mutation points need to be eliminated. For example, if the temperature in the previous cycle is 62°C, then suddenly rises to 80°C in the next cycle, and then falls back to 63°C in the next cycle, the abnormal mutation value should be eliminated. For the comparison operation, in actual implementation, the sensor collected data can be compared with the set value of 70°C through the control program. If it is greater than 70°C, it is marked as "overlimit", otherwise it is marked as "normal". In this judgment process, the temperature threshold of 70°C is the pre-fire warning indicator set by the system. Its setting value is based on the high temperature warning temperature setting in the "Code for Fire Protection Design of Buildings". For example, in an industrial plant, when the equipment is running at no load at night, the collected temperatures are 68°C, 71°C, 69°C, 66°C, and 67°C respectively. According to the set threshold, only 71°C is abnormal. Finally, a table containing equipment location, number, temperature value, and overlimit mark is generated. This information is used as the basis for temperature anomaly identification and ultimately obtains temperature overlimit mark data.

[0019] The shading rate recognition submodule obtains the shading rate change data of the smoke sensors around the fire shutter door, identifies whether the shading value exceeds the alarm standard based on the shading rate alarm threshold, marks and summarizes the abnormal sections, and obtains the shading rate alarm mark data; To obtain the shading rate change data of the smoke sensors around the fire shutter door, it is necessary to perform light attenuation conversion on the sampling signal of the smoke detector at each installation point. The shading rate per unit length of each sensor is expressed as Calculation, the reference threshold is According to the specification GB50116-2013, the sampling period is set to 5 seconds. Shading sensors numbered S1 to S5 are deployed in the entrance and exit area of ​​a subway station. When the shading values ​​recorded in a period are 0.42, 0.51, 0.48, 0.56, and 0.49 respectively, the values ​​of S2 and S4 exceed the set threshold of 0.5. The corresponding numbers and shading values ​​need to be recorded, and the results are classified into the abnormal classification table. The calculation process of the shading rate should pay attention to the ambient light interference factor, and a compensation mechanism needs to be introduced. When the interference compensation value is less than In the case of , no adjustment is required. The threshold setting process needs to be determined through field test data. For example, 10 points are tested in a commercial building. The average shading value under normal ventilation conditions is 0.38, and the maximum shading rate is 0.48 under extreme conditions. Therefore, Set it to be higher than the identification limit of the normal operation state. On this basis, if the S3 node value rises to 0.63 in a certain period, it means that the shading rate of this point is obviously abnormal and should be included in the abnormal section to form a shading rate alarm table; the table information example is as follows: Table 1 Shading rate monitoring data table ; As shown in Table 1, S2 and S3 are over-limit points, which are marked and stored in the system database, thereby obtaining the shading rate alarm mark data.

[0020] The carbon monoxide concentration determination submodule obtains the current concentration data of the carbon monoxide sensor in the area around the rolling shutter door, combines the temperature over-limit mark data and the shading rate alarm mark data as the correlation basis, and comprehensively determines the current concentration value and the carbon monoxide concentration limit value to determine whether the concentration in the area exceeds the limit, and statistically generates the environmental status information around the rolling shutter door; Obtain the current concentration data of carbon monoxide sensors in the area around the rolling door. Select the electrochemical carbon monoxide detectors commonly used in underground spaces. The recommended sensor spacing is no more than 8 meters, and a sampling period of 3 seconds is set. The unit of raw data is ppm. Four monitoring points numbered C1 to C4 are installed in an underground garage. During a certain sampling, the data obtained are 34ppm, 37ppm, 33ppm, and 36ppm. Compared with the OSHAPEL standard threshold of 35ppm, C2 and C4 exceed the limit. To further clarify the pollution trend, it is necessary to introduce temperature limit mark data and shading rate alarm mark data as comparison items. If the same monitoring point has both temperature anomaly and shading anomaly, the carbon monoxide concentration at that point is considered a key tracking object. In this example Point C2 is an overlapping point for temperature overrun and shading rate alarms, so the concentration anomaly at this point is registered as high-priority data, and its time, sensor number, and value are recorded and entered into the environmental anomaly information database. The concentration threshold is set based on the short-term exposure limit value in the occupational safety and health standards, with 35 ppm as the upper limit. If two or more measuring points exceed this value within a cycle, an alarm condition is triggered. For example, if C1 to C4 are detected as 33, 36, 38, and 31 ppm in a certain factory area, then all except C1 and C4 exceed the limit. If C3 overlaps with S2 and T4, it is marked as high risk. Finally, a comprehensive summary entry is generated containing the point number, abnormal concentration value, and overlapping status with other indicators to generate information on the environmental status of the rolling shutter door.

[0021] See also Figure 3 , the risk level generation module includes: The abnormal screening submodule identifies whether each type of abnormal element meets the set abnormal identification criteria based on the environmental status information of the rolling shutter door. It performs tag screening on the parameter items that meet the conditions, and uniformly records the number and type of abnormalities according to the type of abnormality, and integrates them to generate statistical results of the number of abnormal environmental parameters. According to the environmental status information around the rolling shutter door, the generated temperature limit exceeding mark value, shading rate alarm mark value, and carbon monoxide abnormal intensity value need to be extracted respectively. Combined with the sensor sampling number of each type of environmental element, the abnormal identification status is read one by one. For the data items marked as abnormal, they are first classified according to their source category. For example, the temperature abnormality mark is uniformly classified into the temperature item, and the smoke shading rate and carbon monoxide concentration mark are classified into two categories respectively to form three types of initial abnormality sets. Then, for each set, the number of abnormal points contained in it is counted. For example, in a certain underground space, 9 sensors are deployed around the rolling shutter door, among which the temperature sensors with abnormal marks are T2, T4, and T5. 7, a total of 3, the smoke shading rate anomaly is S1 and S3, a total of 2, the carbon monoxide concentration anomaly is C5, C8, C9, a total of 3, then the temperature, smoke, and carbon monoxide three types of abnormal values ​​are 3, 2, and 3 respectively. Then the abnormal type is divided based on this, and it is judged whether the number of abnormalities in each of the three types of parameters exceeds the set identification benchmark. The benchmark value is set based on 10% of the number of sensors. For example, if there are 30 points in total, then if the number of abnormalities in any of the three types of parameters exceeds 3, it is regarded as a concentrated abnormal type. Then the screened abnormal results are summarized to form a structured data table, which is convenient for subsequent identification and call, and generates statistical results of the number of abnormal environmental parameters.

[0022] The risk assessment submodule is based on the statistical results of abnormal environmental parameters and the weight relationship between temperature, smoke, and carbon monoxide in the preset risk weight rules. It combines the abnormal states attributed to each parameter based on the corresponding quantity and type information. According to the established rule framework in the risk weight matrix, the influencing factors of each type of abnormality are summarized into a unified indicator expression to obtain the risk coefficient of the gated area. Based on the statistical results of the number of abnormal environmental parameters, the three types of environmental factors are assigned weights according to the preset risk weight rules. The weights of temperature, smoke and carbon monoxide are set to 0.4, 0.3 and 0.3 respectively. This setting is based on the statistical data of the previous experiments. Combined with the fact that temperature changes are usually the earliest signal in the investigation of fire-inducing factors and have a high corresponding risk sensitivity, the temperature change is given a larger weight, followed by the smoke shading rate and carbon monoxide. In the actual implementation process, for example, in the factory test, there are two temperature anomaly points in the rolling door area, T2 and T4 exceeding the limit, S 1. There are 3 shading rate anomaly points in S3 and S6, and 3 carbon monoxide anomaly points in C5, C7, and C8. The total number of points is 30. The anomaly proportions of the three types of elements are 6.7%, 10%, and 10%, respectively. The above weights and proportions are corresponding to establish a weight ratio sequence and summarize them to generate an indicator value for expressing the overall risk level of the gated area. This indicator value is not output externally, but is passed to the next module as an intermediate variable. Combined with this value, the overall risk intensity of the current regional state is graded and analyzed to obtain the gated area risk coefficient.

[0023] The level assignment submodule determines the level of the current risk coefficient based on the risk coefficient of the gated area and the risk level standard range set in the "Fire Detection and Alarm System". It uses the gated area as the basic unit and maps the judgment results to each level label to obtain the risk level information of the gated area. According to the risk coefficient of the gated area, the risk level division interval specified in the "Fire Detection and Alarm System" standard is compared. 0.0 to 0.3, 0.3 to 0.6, 0.6 to 0.8, and 0.8 to 1.0 correspond to risk levels L1 to L4 respectively. The boundaries of each level are delineated, and the risk coefficient of the current cycle is brought into the classification system. For example, when the risk coefficient of a rolling door area is 0.72, it is classified as risk level L3. If the risk coefficient is 0.82, it is determined to be level L4. The assignment operation is completed through the threshold comparison logic preset by the system. Each gated area is matched and recorded one by one. The final output result contains a data field consisting of three elements: rolling door number, cycle number, and risk level, corresponding to information such as number WJ-03, cycle 5, and risk level L3. The data result structure is shown in the table below: Table 2 Risk level assignment information table ; As shown in Table 2, the risk level of each gated area is assigned in the corresponding period, and the risk level information of the gated area is finally established.

[0024] See also Figure 4 , the alarm location positioning module includes: The coordinate acquisition submodule obtains the risk level information of the gated area, filters the area number, extracts the geographic location data of the corresponding gated unit, reads the coordinates uploaded by the positioning component configured in the gated unit, and extracts the fire alarm coordinates uploaded by the IoT alarm unit in the same period, matches the corresponding timestamps and spatial tags, extracts the alarm coordinate point set within the sampling period, and obtains the alarm geographic coordinate information group; Obtain the risk level information of the gated area, filter the area numbers of levels L3 and L4, and extract the latitude and longitude coordinate information uploaded by the positioning components corresponding to these gated units after screening. When reading this information, the format must be unified into two-dimensional coordinates (in meters), and the conversion process must be performed in accordance with the "Geographic Point Position Coordinate Representation" standard. For example, the GPS coordinate system is converted into a projection coordinate system (such as the Gauss-Krüger coordinate system) so that it can be used for subsequent distance calculations. After that, the coordinate upload value of the fire alarm point in the same period is obtained, and its time stamp and space number are marked for matching. The alarm information and the gated coordinates are periodically integrated into a coordinate group structure, and then a coordinate group structure with a gated number, east direction, and east direction is generated. A gated structure array with three fields of altitude, north direction and north coordinates is generated, and an alarm structure array with alarm number, alarm time and alarm coordinates is generated. Matching processing is performed on the above structure, that is, the coordinate points are extracted from the alarm structure according to the period of alarm occurrence, and then the coordinate values ​​of all L3 and L4 gated units in the corresponding period are extracted from the gated structure. For example, the alarm point number is A12, and its corresponding period is T5. There are 5 gated units numbered WJ01 to WJ05 in the gated array under period T5. The matched data set under this period is five groups of data structures composed of A12-WJ01 to A12-WJ05, which provide data sources for subsequent comparison links and finally obtain the alarm geographic coordinate information group.

[0025] The spatial comparison submodule performs a spatial distance comparison operation on each set of alarm coordinates and the coordinates of each gate control unit based on the alarm geographic coordinate information group, using the formula: ; The spatial distance between the alarm point and the gate control unit is obtained by calculation, and the distance sequence of the gate control units from near to far is formed after sorting, where: Indicates the The easting coordinate value of the gate control unit, Indicates the The north coordinate value of the gate control unit, Indicates the equivalent height of the floor where the door control unit is located. 、 、 Respectively represent the east coordinate, north coordinate and equivalent height of the alarm point. Indicates alarm point to The spatial distance between the gate control units is in meters; According to the alarm geographic coordinate information group, in each group of structure data, the spatial distance calculation operation between the gate control unit and the alarm point is performed, and the coordinate group after longitude and latitude conversion is used to extract the gate control unit's Coordinate values, and alarm points Coordinate values, and at the same time, the floor height information is converted uniformly, that is, the number of floors is multiplied by the standard floor height (3.5 meters) to obtain the corresponding height value, set as and , substitute these parameters into the formula to perform spatial distance calculation. Take the A12 alarm point as an example. Its east coordinate is 236.00 meters, its north coordinate is 120.00 meters, and it is located on the 2nd floor. The corresponding height is 7.0 meters (2×3.5). If the east coordinate of the door control unit WJ02 is 238.50 meters, the north coordinate is 124.00 meters, and it is located on the 3rd floor, then its height is 10.5 meters. Substituting it into the formula yields: rice; The calculation process quantitatively expresses the spatial distance between A12 and WJ02. Similarly, the remaining matching groups are calculated in sequence to form a gated spatial distance list corresponding to each alarm point. The list is then sorted in ascending order, and the distance values ​​are arranged from small to large. The result forms a spatial structure sorting sequence, as shown in the following table: Table 3 Spatial distance sorting results ; As shown in Table 3, the distance sorting method uses the alarm point as the starting point to sequentially match all gate structures and establish a sorting order to obtain the gate unit distance sequence. This result shows that A12 has the shortest spatial distance to the WJ02 gate unit and is the primary target candidate for the subsequent response command.

[0026] The spatial distance from the alarm point to the gate control unit refers to the actual straight-line distance in three-dimensional space between the alarm coordinates and each gate control unit after a fire alarm occurs. This distance not only reflects the geographical location difference between the two on the horizontal plane (i.e., the coordinate difference between the east-west and north-south directions), but also takes into account the displacement caused by the height difference of each floor in the vertical space. It can comprehensively measure the physical proximity between the alarm point and the gate control unit. The smaller the distance value, the closer the spatial location of the gate control unit is to the fire location. In practical applications, this distance is used to determine which gate control unit should prioritize the activation of the response mechanism. Therefore, this spatial distance is a basic data indicator for realizing key operations such as gate control response path selection, response priority sorting, and fire location accuracy control, and has a key reference significance for judgment.

[0027] The formula operation logic is based on the calculation principle of three-dimensional Euclidean space distance. Its structure is the square root of the sum of the squares of the three coordinate differences. That is, by calculating the displacement difference between the alarm point and the door control unit in the east-west direction, north-south direction, and vertical direction, and then square these three differences and add them up, and then restore the spatial distance value in real number form through the square root operation. It represents the square of the distance difference between the alarm point and the door control unit in the east-west direction (horizontal axis). Represents the square of the distance difference in the north-south direction (ordinate), It represents the square of the height difference between the floors (vertical direction). The result of adding the above three items constitutes the squared distance value in three-dimensional space, and the square root operation is used to convert the sum of the squares into the real spatial distance, reflecting the shortest path length between the two points in three-dimensional space. Therefore, the structure of this formula fully conforms to the expression law of spatial Euclidean geometric distance. The square operation is used between the three items to solve the possibility of negative distance (such as the coordinate difference caused by moving downward or to the left is a negative number), and the addition is to take into account the superposition of three-dimensional displacement. The square root is used to restore the square space to the original spatial unit, forming a comparable distance value with physical significance.

[0028] The response positioning submodule selects the minimum distance gate control unit corresponding to each group of alarm points according to the gate control unit distance sequence, extracts the corresponding number, spatial coordinates and area identification information, merges and organizes them, outputs the minimum distance gate control target corresponding to the alarm coordinates, and obtains the gate control response position information; According to the gated unit distance sequence, for each set of alarm data, only the gated unit number at the first position in the sorted list is retained, that is, the gated unit corresponding to the shortest distance is extracted, and its corresponding coordinates, numbers, cycle information, and gated area identification are sorted and normalized through structural matching operations. The gated unit number is bound to it according to the alarm number. In this process, the alarm number and the response gated number are written into the response table. For example, if the alarm number is A12, its first response gated number is WJ02, the cycle number is T5, and the area it belongs to is R03, then the record field is [A12, WJ02, T5, R03]. If there are multiple alarm numbers, the above process is executed cyclically to establish a response table structure for the spatial response targets generated in all alarm cycles, thereby obtaining the gated response position information.

[0029] See also Figure 5 , the gated pathway sorting module includes: The path node screening submodule extracts the channel node number, node coordinate information, and node connection relationship associated with each response gate based on the gate response position information, and performs judgment operations on all channel nodes based on their traffic status, screening to obtain a set of nodes with traffic capability and obtaining a set of traffic nodes; According to the door control response position information, the channel number corresponding to each door control response node is extracted, and the traffic status value, node connection relationship information and spatial coordinate data of each channel node are further obtained. In this process, the setting of the traffic status value refers to the status field in the node real-time status monitoring system. The status value of 1 indicates normal traffic, the value of 0 indicates that the node is closed, and the value of -1 indicates temporary blockage. This field is periodically updated by the building controller or fire protection system through the sensor device and transmitted to the node management system. When performing the judgment operation, the node set needs to be screened according to this value, and nodes with status values ​​other than 1 are removed. At the same time, all connection edges associated with nodes with status values ​​of 0 or -1 are removed from the node connection structure to avoid misidentification as passable nodes during subsequent path traversal. The following is an example of the original node status formed after the rolling door responds on a certain floor, as shown in Table 4: Table 4 Example of channel node traffic status ; As shown in Table 4, the pass status values ​​of ND01, ND03, and ND05 are 1 and should be retained. ND02, ND04, and ND06 should be removed from the node set and connection structure. The retained nodes will be used as starting or relay nodes in the subsequent path construction, and the pass node set will be finally obtained.

[0030] The path combination submodule performs path combination operations based on the set of passable nodes and the connection status of the starting gate node and the ending gate node in the spatial structure, marks the node number sequence of each connection path, retains the complete path sequence that meets the start and end connection conditions, and obtains the full path node sequence set; According to the pass node set, read the start node and target node numbers in each set of gate response position information, identify whether there is a connected path between the nodes, and when performing the pass path combination operation, search for all the next passable connection nodes from the starting node in order, recursively record the node sequence of the current path, and if no pass path is found at any node, terminate the path immediately and mark it as an interrupted path, and do not count it into the valid path set. In the combination process, redundant ring structures and repeated path structures must be excluded, such as between nodes ND01, ND03, and ND05. If there are bidirectional edges ND01↔ND03 and ND03↔ND05, then ND01→ND03→ND05 is a valid path. If ND01→ND03→ND01 is a closed loop and ND01 is the starting point, the path is invalid and is eliminated. After the combination is completed, all complete paths are sorted in the form of a numbered sequence. For example, the three groups of paths generated may be: ND01→ND03→ND05, ND01→ND05, ND03→ND05, which are recorded separately in the path set structure to finally obtain the full path node sequence set.

[0031] The path sorting decision submodule performs path structure analysis based on the full path node sequence set and the order of node arrangement in the spatial structure. It identifies the node connection relationship segment by segment, determines the path compactness based on the continuity of the path structure and the node density, selects the path sequence with the most compact structure and the least number of connected segments among all the paths, and arranges the node number sequence of the corresponding path as the output content to obtain the rolling shutter door closing path sorting information. Based on the full path node sequence set, the node numbering structure of each path is read, the connection mode between the nodes in the path is identified one by one, the arrangement order of the nodes is structurally analyzed, the number of connection segments in the path is counted, and its direction is judged to see whether there is a sudden change. At the same time, the node density relationship between each connection segment is extracted. For example, in the path ND01→ND03→ND05, there are two connection segments arranged in a straight line with relatively balanced node spacing. In the path ND01→ND03→ND06→ND05, although there are three connection segments, ND06 is a relay node and has spatial reentry changes, which is a complex path structure. In the path evaluation process, node sequences with few connection segments, few jumps, and stable direction should be prioritized as output objects. The node numbering structure of the first-ranked path is sorted and sorted as the output information of the closed path, and finally the closed path sorting information of the rolling shutter door is obtained.

[0032] See also Figure 6 , the gating strategy linkage module includes: The risk status determination submodule uses the formula: ; The risk status value of the gated area is obtained by operation, compared with the reference value 0.5, and the judgment result label 0 or 1 is output to obtain the risk status label set of the gated area, where: Indicates the The risk status value of the gated area, Indicates the Real-time sensor measurement value of each area, in Pa, Indicates the Historical reference value of each region, in Pa, represents the risk normalization factor, in units of , 、 Indicates the normalized sensor sub-item abnormal value, ranging from 0 to 1, represents the node number in the closed path sorting, represents the average value of all path numbers; According to the closed path sorting information and the gated area risk level information, first read the current pressure value of each node in the area For example, the real-time monitoring value of area Z01 is 101.0Pa, and the corresponding reference pressure value is extracted from the historical operation record. , such as Z01 corresponds to 100.0Pa, after calculating the difference, a normalization operation needs to be performed, so the normalization factor is called This factor reflects the conversion relationship between the monitoring value and the historical fluctuation range. Based on the data of the past three months, the maximum fluctuation range is determined to be 2.0Pa, corresponding to , and fixed as the universal normalized reference for all regions, and then the abnormal disturbance parameters of two independent channels in each region were collected separately 、 , such as Z01 corresponds to 、 This type of parameter comes from the normalized result of the sub-channel monitoring sampling standard deviation, the standard value does not exceed 0.5, and the rolling door path number is extracted at the same time , such as Z01 number is 2, the total number of paths is 4, and the average is , and then bring it into the risk assessment formula: ; Similarly, the calculation of Z03 is as follows: ; According to the above derivation, the current risk values ​​of Z01 and Z03 are far below the threshold of 0.5, so they are marked as label 0. 、 、 、 , the calculation process is as follows: ; Further construct the summary of sensor and path numbers for each area, as shown in the following table: Table 5 Gated area sensing and path parameters ; As shown in Table 5, the above-mentioned regions are calculated The value is compared with the preset threshold 0.5 to generate a regional risk label 0 or 1, and finally obtain the gated regional risk status label set.

[0033] The risk state value is a dimensionless comprehensive assessment indicator used to quantify the safety risk level of the current gated area at a specific moment. Its value is constructed by fusing the normalized difference between the current sensor monitoring value and the historical reference state, the cumulative disturbance intensity of the multidimensional abnormal signals in the area, and the degree of structural deviation of the gated unit in the path closure sequence. It reflects the urgency of the priority treatment of the area in the control strategy generation process. The closer the risk state value is to or exceeds the set threshold (such as 0.5), the more obvious the state anomaly or structural sensitivity of the area in the current period, and it needs to be prioritized for inclusion in the rapid response or high-frequency monitoring closure category. Conversely, when its value is far below the threshold, it indicates that the current stability of the area is strong and the interference level is low, and it can be delayed or executed in a slow closure manner. Therefore, the risk state value is not only a direct quantitative expression of the local environmental state, but also the core judgment basis for the linkage execution of control strategies.

[0034] The overall operation logic of the risk assessment formula is constructed based on the weighted aggregation of the three-dimensional factors of "composite difference-abnormal intensity-path deviation". The current sensor data Compared with historical reference values The difference between the two is normalized to reflect the degree of regional pressure anomaly. This part is the direct quantitative result of the basic risk level. The larger the value, the more the current state deviates from the historical benchmark. Then, in the second part, multiple sensor dimension disturbance data are introduced, namely , accumulates abnormal energy in a squared manner to represent the intensity of local fluctuations in the sensing system, and then introduces Indicates the degree of deviation of the number of the gated node in the path, emphasizing the priority sensitivity that may be generated in the structural control order. The sum of the three terms and the square root represent the comprehensive effect of "weighted perturbation intensity and structural offset". Finally, multiply by Normalizing them to the same dimensional level and outputting them uniformly with the previous terms ensures monotonicity, continuity, and comparability of the overall formula results, allowing them to be directly used for risk classification judgments with a set threshold, such as 0.5. The formula employs an "additive" combination to model the difference and disturbance terms separately and then perform a weighted superposition. "Multiplication and division" operations are used for dimensional scaling and ratio conversion, while "square and square root" operations ensure the non-negativity and smoothness of each influencing factor, ensuring that the final risk value output remains numerically reasonable and physically interpretable.

[0035] The closure strategy generation submodule compares the label value of each gate control unit with the closure path sequence of its corresponding node based on the risk status label set of the gated area, reads the closure path sorting number, determines the closure strategy based on the label value of each gate control unit, and obtains the path closure control instruction set; According to the risk status label set of the gated area, the label value corresponding to each gated unit is jointly read with its path sequence number to form an operation sequence. The label value is generated by the previous submodule based on the comparison of the risk value and the threshold value 0.5. For example, Z01 and Z03 correspond to label values ​​0, and Z05 corresponds to label value 1. According to the control strategy, if the label value is 0, the closing speed of the gated unit is set to slow, and the rate is set to 0.2m / s. If the label value is 1, it is set to fast closing, and the rate is 0.8m / s. The rate is set by the control chip to proportionally control the motor control pulse width, where slow corresponds to a PWM cycle delay of 20ms and fast is 5ms, corresponding to an average travel height of 4.0 meters for the rolling door. The time required for slow closing is about 20 seconds, and the fast closing time is about 5 seconds. The control logic also needs to be combined with the path sorting number , arrange the node control order in ascending order. In this example, the path number of Z03 is 1, Z01 is 2, Z04 is 3, Z02 is 4, and Z05 is 1 (parallel with Z03). The control system writes these five nodes into the closed queue in the order of 1→2→3→4. If there are multiple nodes with the same number (such as Z03 and Z05 are both 1), they are arranged according to the priority of the risk label. For example, Z05 with label 1 should take precedence over Z03. The system adjusts the control order to Z05→Z03→Z01→Z04→Z02. The following closed instruction table is finally formed: Table 6 Path closure control instruction table ; As shown in Table 6, the control instructions clearly indicate the target rate and execution order of each gate control unit, and control pulses will be sent in sequence in the next module through the remote control system to finally obtain the path closure control instruction set.

[0036] The linkage execution recording submodule controls each door control unit to execute the closing action according to the closing sequence number based on the path closing control instruction set, reads the response feedback signal of the execution node and records the response timestamp until all closing instructions are responded and recorded. It then organizes the closing status codes and closing time periods of all door control units to obtain the IoT remote rolling door control solution; According to the path closure control instruction set, the system calls the embedded control board to generate the closure queue information and issue closure instructions in batches. First, a control pulse is sent to the first node Z05 according to the closure sequence, and the closing action starts timing. The system samples the feedback signal status every second during the control cycle. If the feedback status is "1" after the closure is completed, the closure status of the node is recorded as successful. If no stable feedback is received within 3 consecutive seconds, the status code is recorded as 2 and marked as an abnormal node. The process is repeated for all nodes in turn. Taking Z05 as an example, its closing speed is 0.8m / s, the door height is 4 meters, and the estimated closing time is 5 seconds. The system detects it at the 5th second. A successful closing signal is detected, and the status code is recorded as 1. The closing timestamp is recorded as the 5th second. Z03 successfully feedbacks a signal 20 seconds after closing, with a status code of 1. Z01 feedbacks "abnormal interruption" at the 12th second, and the status code is recorded as 2. The closing time is 12 seconds. After combining and arranging these status and time information, the system constructs a gate control execution log structure. The structure format uniformly includes [node number, closing status, closing timestamp], and writes it into the remote monitoring platform database as the closing result of the current control cycle. It is used as the input condition for subsequent fault analysis and dynamic adjustment of path strategy, and finally obtains the IoT remote rolling door control solution.

[0037] The above are merely preferred embodiments of the present invention and do not limit the present invention in any other form. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes and apply it to other fields. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention shall still fall within the scope of protection of the technical solution of the present invention.

Claims

1. A remote door control system based on the Internet of Things, characterized in that: The system comprises: The environmental status acquisition module obtains real-time monitoring data from environmental sensors, determines whether each monitoring data is within the normal range, records abnormal marking information, and generates environmental status information around the rolling shutter door; The risk level generation module screens abnormal environmental parameters according to the environmental status information of the rolling door surroundings, counts the types and quantities of abnormal parameters, assigns them in different levels, and generates risk level information of the gated area in combination with the risk level standard; The alarm location positioning module obtains the geographical coordinates of the fire alarm based on the risk level information of the gated area, compares the spatial distance between each gated unit and the alarm coordinates, selects the gated unit with the closest distance as the primary response target, and generates gated response location information; The gate path sorting module combines the gate response position information, the gate unit spatial layout information and the passable status of the channel node to form all passable paths, selects the shortest passable path, and generates the rolling door closing path sorting information; The gate control strategy linkage module combines the shutter door closing path sorting information with the gate control area risk level information, determines the closing operation according to the risk level and executes the closing action to generate an IoT remote shutter door gate control solution.

2. The remote door control system based on the Internet of Things according to claim 1, characterized in that: The surrounding environmental status information of the rolling shutter door includes the temperature status marking results, the shading rate status marking results, and the carbon monoxide status marking results. The risk level information of the gated area includes the number of abnormal parameters, the type of abnormal parameters, and the comprehensive risk level value. The gated response location information includes the primary response gated unit identifier, the primary response gated unit geographic location, and the primary response gated unit spatial distance. The rolling shutter door closing path sorting information includes a list of accessible paths, the shortest path identifier, and the path length data. The Internet of Things remote rolling shutter door gate control solution includes a closing operation strategy, a closing path sequence, and a closing status record of each gated unit.

3. The remote door control system based on the Internet of Things according to claim 1, characterized in that: The environmental status acquisition module includes: The temperature monitoring submodule obtains temperature sensor data around the fire shutter door, reads the real-time temperature value and compares it point by point with the set temperature threshold. If the temperature is greater than the threshold, it identifies a high temperature condition, identifies and classifies the abnormal sensor, and generates temperature limit mark data; The shading rate recognition submodule obtains the shading rate change data of the smoke sensors around the fire shutter door, identifies whether the shading value exceeds the alarm standard based on the shading rate alarm threshold, marks and summarizes the abnormal sections, and obtains the shading rate alarm mark data; The carbon monoxide concentration determination submodule obtains the current concentration data of the carbon monoxide sensor in the area around the rolling shutter door, combines the temperature limit mark data and the shading rate alarm mark data as the correlation basis, comprehensively determines the current concentration value and the carbon monoxide concentration limit value, determines whether there is a concentration exceeding the standard in the area, and statistically generates the environmental status information around the rolling shutter door.

4. The remote door control system based on the Internet of Things according to claim 1, characterized in that: The risk level generation module includes: The abnormal screening submodule identifies whether each type of abnormal element meets the set abnormal identification criteria based on the environmental status information of the rolling shutter door, performs marking screening on the parameter items that meet the conditions, and uniformly records the number and type of abnormalities according to the type of abnormality, and integrates and generates statistical results of the number of abnormal environmental parameters; The risk assessment submodule, based on the statistical results of the abnormal environmental parameters and the weight relationship set for the three factors of temperature, smoke, and carbon monoxide in the preset risk weight rules, combines and evaluates the abnormal states attributed to each parameter based on the corresponding quantity and type information. According to the established rule framework in the risk weight matrix, the influencing factors of each type of abnormality are summarized into a unified indicator expression to obtain the risk coefficient of the gated area; The level assignment submodule makes a level judgment on the interval of the current risk coefficient based on the risk coefficient of the gated area, refers to the risk level standard range, and takes the gated area as the basic unit, and maps the judgment result to each level label to obtain the risk level information of the gated area.

5. The remote door control system based on the Internet of Things according to claim 1 is characterized in that: The alarm location positioning module includes: The coordinate acquisition submodule obtains the risk level information of the gated area, filters the area number, extracts the geographic location data of the corresponding gated unit, reads the coordinates uploaded by the positioning component configured in the gated unit, and extracts the fire alarm coordinates uploaded by the IoT alarm unit in the same period, matches the corresponding timestamp and spatial tag, extracts the alarm coordinate point set within the sampling period, and obtains the alarm geographic coordinate information group; The spatial comparison submodule performs a spatial distance comparison operation on each set of alarm coordinates and the coordinates of each gate control unit based on the alarm geographic coordinate information group, calculates the spatial distance from the alarm point to the gate control unit, and sorts the distances to form a gate control unit distance sequence from near to far. The response positioning submodule screens the minimum distance gate control unit corresponding to each group of alarm points according to the gate control unit distance sequence, extracts the corresponding number, spatial coordinates and area identification information, merges and organizes them, outputs the minimum distance gate control target corresponding to the alarm coordinates, and obtains the gate control response position information.

6. The remote door control system based on the Internet of Things according to claim 1, characterized in that: The gated path sorting module includes: The path node screening submodule extracts the channel node number, node coordinate information, and node connection relationship associated with each response gate based on the gate response position information, performs a judgment operation on all channel nodes based on their traffic status, screens and obtains a set of nodes with traffic capability, and obtains a set of traffic nodes; The path combination submodule performs a path combination operation based on the pass node set and the connection status of the starting gate node and the ending gate node in the spatial structure, marks the node number sequence of each connection path, retains the complete path sequence that meets the start and end connection conditions, and obtains the full path node sequence set; The path sorting decision submodule performs path structure analysis based on the full path node sequence set and the arrangement order of the nodes in the spatial structure, identifies the node connection relationship segment by segment, judges the path compactness based on the continuity of the path structure and the node density, selects the path sequence with the most compact structure and the least number of connection segments among all the paths, arranges the node numbering order of the corresponding path as the output content, and obtains the rolling shutter door closing path sorting information.

7. The remote door control system based on the Internet of Things according to claim 1, characterized in that: The gating strategy linkage module includes: The risk status determination submodule calculates and obtains the risk status value of the gated area based on the rolling door closing path sorting information and the gated area risk level information, compares it with the reference value, outputs the judgment result and obtains the gated area risk status label set; The closure strategy generation submodule compares the label value of each gate control unit with the closure path sequence of its corresponding node according to the risk status label set of the gated area, reads the closure path sorting number, determines the closure strategy according to the label value of each gate control unit, and obtains the path closure control instruction set; The linkage execution recording submodule controls each door control unit to perform the closing action according to the closing sequence number according to the path closing control instruction set, reads the response feedback signal of the execution node and records the response timestamp until all closing instructions are responded and recorded, and organizes the closing status codes and closing time periods of all door control units to obtain the IoT remote rolling door control solution.

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