Fire engineering early warning method and system based on Internet of Things

Abstract

The embodiment of the invention relates to the technical field of fire protection engineering, and particularly discloses a fire protection engineering early warning method and system based on the Internet of Things. According to the embodiment of the invention, real-time fire-fighting monitoring is carried out on the target public building to judge whether the fire-fighting danger exists or not; determining a dangerous influence area and dangerous influence personnel when there is a fire hazard; based on the Internet of Things technology, Internet of Things space positioning is carried out, and the real-time position of a person is determined; planning a fire-fighting evacuation route; and according to the real-time position of the personnel and the fire-fighting evacuation route, an evacuation guidance signal is generated and sent to the personnel mobile terminal, and real-time evacuation early warning guidance is carried out through the personnel mobile terminal. Based on the Internet of Things technology, Internet of Things space positioning can be performed on the personnel mobile terminal of dangerous influence personnel, a fire-fighting evacuation route can be planned, an evacuation guidance signal can be sent to the personnel mobile terminal, and real-time evacuation early warning guidance can be performed through the personnel mobile terminal, so that rapid and safe evacuation of the dangerous influence personnel is facilitated, and the overall rescue efficiency is effectively improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of fire protection engineering, and in particular relates to a fire protection engineering early warning method and system based on the Internet of Things. Background Art

[0002] Fire protection engineering is of great significance to protecting people's lives and property and maintaining social stability. It effectively reduces the probability and degree of harm of fire through various technical means and provides a safe living environment for the people.

[0003] In the prior art, safety passage indications in public buildings generally rely on safety passage lights arranged at certain intervals to guide people to evacuate. However, in real fire emergencies, the dense smoke generated at the fire scene, the raging flames, and the large amount of water sprayed during firefighting operations greatly reduce the visibility and recognition of the safety passage lights, increase the difficulty of finding safe exits, and affect the safe evacuation of personnel and the overall rescue efficiency. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide a fire engineering early warning method and system based on the Internet of Things, aiming to solve the problems raised in the background technology.

[0005] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions: A fire engineering early warning method based on the Internet of Things, the method specifically comprises the following steps: Conduct real-time fire monitoring of target public buildings, obtain fire monitoring data, analyze the fire monitoring data, and determine whether there is a fire hazard; When there is a fire hazard, determine the hazardous impact area of ​​the target public building and determine the hazardous affected persons in the hazardous impact area; Based on the Internet of Things technology, a real-time connection is established with the mobile terminal of the personnel affected by the danger, and the Internet of Things space positioning is performed to determine the real-time location of the personnel affected by the danger; Plan fire evacuation routes according to the real-time locations of the personnel; According to the real-time position of the personnel and the fire evacuation route, an evacuation guidance signal is generated and sent to the personnel mobile terminal, and real-time evacuation warning guidance is carried out through the personnel mobile terminal.

[0006] As a further limitation of the technical solution of the embodiment of the present invention, the real-time fire monitoring of the target public building, obtaining the fire monitoring data, analyzing the fire monitoring data, and determining whether there is a fire hazard specifically include the following steps: Identify target public buildings; Conducting real-time fire monitoring on the target public building to obtain fire monitoring data; According to the preset fire protection standard data, the fire protection monitoring data is compared and analyzed, and the comparison and analysis results are recorded; According to the comparison and analysis results, it is determined whether there is a fire hazard.

[0007] As a further limitation of the technical solution of the embodiment of the present invention, when there is a fire hazard, determining the dangerous impact area of ​​the target public building and determining the dangerously affected persons in the dangerous impact area specifically include the following steps: When there is a fire hazard, extracting fire abnormality data from the fire monitoring data; According to the fire anomaly data, the target public building is anomaly located to determine multiple fire anomaly locations; Determining a fire protection abnormality area according to the plurality of fire protection abnormality positions; Based on the fire abnormality area, conduct fire spread impact analysis to determine the dangerous impact area; Obtain personnel record data; According to the danger impact area, personnel matching is performed on the personnel record data to determine the danger impact personnel.

[0008] As a further limitation of the technical solution of the embodiment of the present invention, the real-time connection with the mobile terminal of the dangerous person based on the Internet of Things technology and the Internet of Things spatial positioning to determine the real-time position of the dangerous person specifically includes the following steps: Determine the personnel movement end of the personnel affected by the danger; Obtaining the communication address of the personnel's mobile terminal; Based on the Internet of Things technology, a real-time connection is established with the personnel's mobile terminal according to the communication address; Generate and send a positioning detection signal to the personnel mobile terminal; receiving a plurality of detection feedback signals; Based on the multiple detection feedback signals, the Internet of Things space positioning is performed to determine the real-time position of the person affected by the danger.

[0009] As a further limitation of the technical solution of the embodiment of the present invention, planning the fire evacuation route according to the real-time location of the personnel specifically includes the following steps: Obtaining a BIM model of the target public building; According to the BIM model, a safety passage model is constructed; According to the real-time location of the personnel, evacuation planning is performed in the safety passage model to generate a fire evacuation route.

[0010] As a further limitation of the technical solution of the embodiment of the present invention, generating and sending an evacuation guidance signal to the personnel mobile terminal according to the real-time location of the personnel and the fire evacuation route, and providing real-time evacuation warning guidance through the personnel mobile terminal specifically includes the following steps: Generating an evacuation guidance signal in real time according to the real-time location of the personnel and the fire evacuation route; Sending the evacuation guidance signal to the personnel mobile terminal; According to the evacuation guidance signal, generating and displaying an evacuation guidance mark on the personnel mobile terminal; Through the evacuation guidance signs, real-time evacuation warning guidance is provided to people affected by danger.

[0011] A fire engineering early warning system based on the Internet of Things, the system includes a fire monitoring and judgment unit, a hazard impact analysis unit, an Internet of Things space positioning unit, an evacuation route planning unit and an evacuation early warning guidance unit, wherein: A fire monitoring and judgment unit is used to perform real-time fire monitoring of a target public building, obtain fire monitoring data, analyze the fire monitoring data, and judge whether there is a fire hazard; A risk impact analysis unit, used to determine a risk impact area of ​​the target public building and determine risk-affected persons in the risk impact area when there is a fire risk; An IoT space positioning unit is used to establish a real-time connection with a mobile terminal of the person affected by the danger based on IoT technology, and to perform IoT space positioning to determine the real-time position of the person affected by the danger; An evacuation route planning unit, used to plan a fire evacuation route according to the real-time location of the personnel; The evacuation warning guidance unit is used to generate and send an evacuation guidance signal to the personnel mobile terminal according to the real-time position of the personnel and the fire evacuation route, and to provide real-time evacuation warning guidance through the personnel mobile terminal.

[0012] As a further limitation of the technical solution of the embodiment of the present invention, the risk impact analysis unit specifically includes: A data extraction module, used to extract fire abnormality data from the fire monitoring data when there is a fire hazard; An abnormality positioning module, used for positioning the abnormality of the target public building according to the fire abnormality data, and determining multiple fire abnormality locations; An area determination module, used for determining a fire abnormality area according to the plurality of fire abnormality locations; An impact analysis module, used to perform fire spread impact analysis based on the fire abnormality area and determine the dangerous impact area; A data acquisition module, used to acquire personnel record data; The personnel matching module is used to match the personnel record data according to the danger impact area to determine the danger-affected personnel.

[0013] As a further limitation of the technical solution of the embodiment of the present invention, the IoT space positioning unit specifically includes: A mobile terminal determination module, used to determine the mobile terminals of the personnel affected by the danger; An address acquisition module, used to acquire the communication address of the personnel mobile terminal; An emergency connection module, used to establish a real-time connection with the personnel mobile terminal according to the communication address based on the Internet of Things technology; A signal sending module, used to generate and send a positioning detection signal to the personnel mobile terminal; A feedback receiving module, used for receiving a plurality of detection feedback signals; The Internet of Things space positioning module is used to perform Internet of Things space positioning according to the multiple detection feedback signals to determine the real-time position of the person affected by the danger.

[0014] As a further limitation of the technical solution of the embodiment of the present invention, the evacuation route planning unit specifically includes: A model acquisition module, used to acquire the BIM model of the target public building; A model building module, used to build a safety passage model according to the BIM model; The evacuation planning module is used to carry out evacuation planning in the safety passage model according to the real-time location of the personnel and generate a fire evacuation route.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The embodiment of the present invention determines whether there is a fire hazard by performing real-time fire monitoring on the target public building; when there is a fire hazard, it determines the affected area and the affected personnel; based on the Internet of Things technology, it performs Internet of Things spatial positioning to determine the real-time position of the personnel; plans the fire evacuation route; based on the real-time position of the personnel and the fire evacuation route, it generates and sends an evacuation guidance signal to the personnel mobile terminal, and performs real-time evacuation warning guidance through the personnel mobile terminal. Based on the Internet of Things technology, it is possible to perform Internet of Things spatial positioning on the personnel mobile terminal of the personnel affected by the danger, plan the fire evacuation route, send an evacuation guidance signal to the personnel mobile terminal, and perform real-time evacuation warning guidance through the personnel mobile terminal, thereby facilitating the rapid and safe evacuation of the personnel affected by the danger, and effectively improving the overall rescue efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0017] Figure 1 A flow chart of a method provided by an embodiment of the present invention is shown.

[0018] Figure 2 A flow chart of real-time fire monitoring and analysis in the method provided by an embodiment of the present invention is shown.

[0019] Figure 3 A flow chart of determining a danger-affected area and danger-affected persons in a method provided by an embodiment of the present invention is shown.

[0020] Figure 4 A flow chart of performing Internet of Things spatial positioning in the method provided in an embodiment of the present invention is shown.

[0021] Figure 5 A flow chart of planning a fire evacuation route in the method provided in an embodiment of the present invention is shown.

[0022] Figure 6 A flow chart of real-time evacuation warning guidance in the method provided by an embodiment of the present invention is shown.

[0023] Figure 7 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0024] Figure 8 The structure block diagram of the risk impact analysis unit in the system provided by the embodiment of the present invention is shown.

[0025] Fig. 9 A structural block diagram of an Internet of Things space positioning unit in a system provided by an embodiment of the present invention is shown.

[0026] Fig.10 A structural block diagram of an evacuation route planning unit in a system provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0028] It is understandable that in the prior art, safety passage indications in public buildings generally rely on safety passage lights arranged at certain intervals to guide people to evacuate. However, in real fire emergencies, the dense smoke generated at the fire scene, the raging flames, and the large amount of water sprayed during firefighting operations greatly reduce the visibility and recognition of the safety passage lights, increase the difficulty of finding safe exits, and affect the safe evacuation of personnel and the overall rescue efficiency.

[0029] To solve the above problems, the embodiment of the present invention performs real-time fire monitoring on the target public building, obtains fire monitoring data, analyzes the fire monitoring data, and determines whether there is a fire hazard; when there is a fire hazard, determines the dangerous impact area of ​​the target public building, and determines the dangerous affected personnel in the dangerous impact area; based on the Internet of Things technology, real-time connection is made with the personnel mobile terminal of the dangerous affected personnel, and the Internet of Things space positioning is performed to determine the real-time position of the personnel affected by the dangerous personnel; according to the real-time position of the personnel, a fire evacuation route is planned; according to the real-time position of the personnel and the fire evacuation route, an evacuation guidance signal is generated and sent to the personnel mobile terminal, and real-time evacuation warning guidance is performed through the personnel mobile terminal. Based on the Internet of Things technology, the personnel mobile terminal of the dangerous affected personnel can be positioned in the Internet of Things space, the fire evacuation route can be planned, the evacuation guidance signal can be sent to the personnel mobile terminal, and real-time evacuation warning guidance can be performed through the personnel mobile terminal, thereby facilitating the rapid and safe evacuation of the dangerous affected personnel and effectively improving the overall rescue efficiency.

[0030] Figure 1 A flow chart of a method provided by an embodiment of the present invention is shown.

[0031] Specifically, a fire engineering early warning method based on the Internet of Things includes the following steps: Step S101, real-time fire monitoring is performed on the target public building, fire monitoring data is acquired, and the fire monitoring data is analyzed to determine whether there is a fire hazard.

[0032] In an embodiment of the present invention, a target public building is determined, and real-time fire monitoring of the target public building is performed through fiber optic Bragg grating sensing technology, smoke detector technology, heat flame detection technology and / or wireless sensing technology to obtain fire monitoring data. Then, the fire monitoring data is compared and analyzed according to preset fire standard data, and the comparison and analysis results are recorded. Then, according to the comparison and analysis results, it is determined whether there is a fire hazard in the target public building.

[0033] Specifically, Figure 2 A flow chart of real-time fire monitoring and analysis in the method provided by an embodiment of the present invention is shown.

[0034] Among them, in the preferred embodiment provided by the present invention, the real-time fire monitoring of the target public building, obtaining fire monitoring data, analyzing the fire monitoring data, and determining whether there is a fire hazard specifically include the following steps: Step S1011, determining the target public building; Step S1012, performing real-time fire monitoring on the target public building to obtain fire monitoring data; Step S1013, performing comparative analysis on the fire monitoring data according to preset fire standard data, and recording comparative analysis results; Step S1014: judging whether there is a fire hazard based on the comparison and analysis results.

[0035] Further, according to the preset fire protection standard data, the fire protection monitoring data is compared and analyzed, and the comparison and analysis results are recorded. The specific steps are as follows: Count the total logarithms of all fire monitoring data and fire standard data; Obtain the fire monitoring value, fire standard value, standard deviation, nonlinear adjustment factor and weight factor of each data point through fire monitoring data and fire standard data; Based on the fire monitoring value and the fire standard value, the data deviation value of each data point is calculated and obtained; Then, adjusting the data deviation value by a nonlinear adjustment factor to obtain an adjusted data deviation value; The absolute difference between the standard deviation and the fire standard value is calculated, and the absolute difference is adjusted to ensure that the result is always within a preset range to obtain a logarithmic correction term; A weighted data deviation value is calculated based on the adjusted data deviation value and the weight factor; Within the total logarithm of the fire monitoring data and the fire standard data, all weighted data deviation values ​​are accumulated to obtain the analysis result.

[0036] Furthermore, the fire engineering early warning method based on the Internet of Things also includes the following steps: Step S102, when there is a fire hazard, determining the danger impact area of ​​the target public building, and determining the danger impact persons in the danger impact area.

[0037] In an embodiment of the present invention, when it is determined that there is a fire hazard in the target public building, fire anomaly data that does not meet the preset fire standard data is extracted from the fire monitoring data, and then the target public building is anomaly located based on the fire anomaly data, and multiple fire anomaly positions in the target public building are determined, and then the fire anomaly area is determined according to the multiple fire anomaly positions, and then based on the fire anomaly area, a fire spread impact analysis is performed to determine the dangerous impact area, and then, personnel record data is obtained, and personnel matching is performed on the personnel record data according to the dangerous impact area to determine the dangerously affected personnel in the dangerous impact area.

[0038] It is understandable that the fire abnormality area is part of the dangerous impact area.

[0039] It is understandable that the personnel record data may be personnel attendance data, entry and exit scanning data, etc.

[0040] Specifically, Figure 3 A flow chart of determining a danger-affected area and danger-affected persons in a method provided by an embodiment of the present invention is shown.

[0041] Among them, in the preferred embodiment provided by the present invention, when there is a fire hazard, determining the dangerous impact area of ​​the target public building and determining the dangerously affected persons in the dangerous impact area specifically include the following steps: Step S1021, when there is a fire risk, extracting fire abnormality data from the fire monitoring data; Step S1022, based on the fire abnormality data, abnormality positioning is performed on the target public building to determine multiple fire abnormality locations; Step S1023, determining a fire abnormality area according to the plurality of fire abnormality positions; Step S1024, based on the fire abnormality area, perform fire spread impact analysis to determine the dangerous impact area; Step S1025, obtaining personnel record data; Step S1026: According to the danger impact area, personnel matching is performed on the personnel record data to determine the danger impacted personnel.

[0042] Further, based on the fire abnormality area, a fire spread impact analysis is performed to determine the dangerous impact area. The specific steps are as follows: The maximum fire fighting distance is obtained through the fire fighting abnormality area, and the fire fighting release rate per unit distance is obtained through the fire fighting abnormality data within the maximum fire fighting distance; The fire release distribution results per unit distance are obtained by using the sphere surface area calculation formula; Based on the maximum fire fighting distance, the attenuation factor corresponding to each fire fighting distance is determined by an exponential function; The fire impact intensity value is calculated using the fire release distribution results, attenuation factor and fire release rate; On the basis of the maximum fire fighting distance, the fire fighting impact intensity value is integrated to obtain the comprehensive impact intensity value; The hazard impact area is determined based on the comprehensive impact intensity value to determine the corresponding hazard impact area.

[0043] Furthermore, the fire engineering early warning method based on the Internet of Things also includes the following steps: Step S103, based on the Internet of Things technology, establish a real-time connection with the mobile terminal of the person affected by the danger, perform Internet of Things space positioning, and determine the real-time location of the person affected by the danger.

[0044] In an embodiment of the present invention, a mobile terminal of a person affected by danger is determined, and a communication address of the mobile terminal is obtained. Then, based on the Internet of Things technology, a real-time connection is established with the mobile terminal of the person affected by danger according to the communication address to generate a positioning detection signal. The positioning detection signal is sent to the mobile terminal of the person through multiple Internet of Things devices. Then, a detection feedback signal transmitted by the mobile terminal of the person is received through multiple Internet of Things devices. By performing signal strength analysis on multiple detection feedback signals and combining the device positions of multiple Internet of Things devices, an Internet of Things space positioning analysis is performed on the mobile terminal of the person affected by danger to determine the real-time position of the person affected by danger.

[0045] Specifically, Figure 4 A flow chart of performing Internet of Things spatial positioning in the method provided in an embodiment of the present invention is shown.

[0046] Among them, in the preferred embodiment provided by the present invention, the real-time connection with the mobile terminal of the dangerous person is carried out based on the Internet of Things technology, and the Internet of Things space positioning is performed to determine the real-time position of the dangerous person, which specifically includes the following steps: Step S1031, determining the mobile terminal of the person affected by the danger; Step S1032, obtaining the communication address of the personnel's mobile terminal; Step S1033, based on the Internet of Things technology, establish a real-time connection with the personnel mobile terminal according to the communication address; Step S1034, generating and sending a positioning detection signal to the personnel mobile terminal; Step S1035, receiving multiple detection feedback signals; Step S1036: Perform IoT spatial positioning based on the multiple detection feedback signals to determine the real-time location of the person affected by the danger.

[0047] Further, based on the plurality of detection feedback signals, the IoT space positioning is performed to determine the real-time position of the personnel affected by the danger, and the specific steps are as follows: The total number of signal sources, signal strength, weight factors of signal sources, distances of signal sources, and angles of reference directions are obtained based on the detection feedback signals; Determine the corresponding distance attenuation factor based on the signal source distance and the real-time position of the personnel; The angle of the reference direction is adjusted by the cosine function to obtain the direction correction factor; Based on the signal strength, a signal strength adjustment value is obtained through nonlinear adjustment; The strength value of the signal source is obtained by combining the distance attenuation factor, the direction correction factor, the signal strength adjustment value and the weight factor of the signal source; Within the total number of signal sources, the intensity values ​​of all signal sources are accumulated to obtain the danger intensity value; IoT spatial positioning is performed based on the hazard intensity value to determine the real-time location of people affected by the hazard.

[0048] Furthermore, the fire engineering early warning method based on the Internet of Things also includes the following steps: Step S104, planning a fire evacuation route according to the real-time location of the personnel.

[0049] In an embodiment of the present invention, a BIM model of a target public building is obtained, and then a safety passage is identified on the BIM model. Based on the BIM model, a safety passage model is constructed, and then an evacuation plan is performed in the safety passage model according to the real-time location of personnel to generate a fire evacuation route.

[0050] Specifically, Figure 5 A flow chart of planning a fire evacuation route in the method provided in an embodiment of the present invention is shown.

[0051] Among them, in the preferred implementation manner provided by the present invention, planning the fire evacuation route according to the real-time location of the personnel specifically includes the following steps: Step S1041, obtaining the BIM model of the target public building; Step S1042, constructing a safety passage model according to the BIM model; Step S1043, performing evacuation planning in the safety passage model according to the real-time location of the personnel, and generating a fire evacuation route.

[0052] Furthermore, in the step of performing evacuation planning in the safety passage model according to the real-time position of the personnel and generating a fire evacuation route, the following sub-steps are specifically included: The length of the evacuation route, average evacuation speed, risk correction factor, congestion correction factor and dynamic environment correction factor are obtained through the safe passage model; For each route, the evacuation time is determined based on the length of the evacuation route and the average evacuation speed; Apply the risk correction factor, congestion correction factor and dynamic environment correction factor to the evacuation time to obtain the processed evacuation time; All processed evacuation times are accumulated to obtain the total evacuation time; Calculate the total evacuation time for all routes; Arrange the total evacuation time of all routes from low to high, and select the one with the shortest total evacuation time; The fire evacuation route shall be the one with the shortest total evacuation time.

[0053] Furthermore, the fire engineering early warning method based on the Internet of Things also includes the following steps: Step S105, based on the real-time location of the personnel and the fire evacuation route, an evacuation guidance signal is generated and sent to the personnel mobile terminal, and real-time evacuation warning guidance is performed through the personnel mobile terminal.

[0054] In an embodiment of the present invention, an evacuation guidance direction is determined according to the real-time position of the personnel and the fire evacuation route, and then a corresponding evacuation guidance signal is generated in real time according to the evacuation guidance direction. The evacuation guidance signal is sent to the personnel's mobile terminal, and the evacuation guidance signal is visualized on the personnel's mobile terminal to display an evacuation guidance mark corresponding to the evacuation guidance direction. Through the evacuation guidance mark, real-time evacuation warning guidance is provided to the dangerous personnel. During the evacuation of the dangerous personnel, the evacuation guidance mark changes with the change of the real-time position of the personnel, thereby realizing dynamic guidance of the evacuation warning.

[0055] Specifically, Figure 6 A flow chart of real-time evacuation warning guidance in the method provided by an embodiment of the present invention is shown.

[0056] Among them, in the preferred embodiment provided by the present invention, generating and sending an evacuation guidance signal to the personnel mobile terminal according to the real-time position of the personnel and the fire evacuation route, and providing real-time evacuation warning guidance through the personnel mobile terminal specifically includes the following steps: Step S1051, generating an evacuation guidance signal in real time according to the real-time position of the personnel and the fire evacuation route; Step S1052, sending the evacuation guidance signal to the personnel mobile terminal; Step S1053, generating and displaying an evacuation guidance mark on the personnel mobile terminal according to the evacuation guidance signal; Step S1054: Provide real-time evacuation warning guidance to persons affected by danger through the evacuation guidance sign.

[0057] Furthermore, Figure 7 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0058] Among them, in another preferred embodiment provided by the present invention, a fire engineering early warning system based on the Internet of Things includes: The fire monitoring and judging unit 101 is used to perform real-time fire monitoring on the target public building, obtain fire monitoring data, analyze the fire monitoring data, and judge whether there is a fire hazard.

[0059] In the embodiment of the present invention, the fire monitoring and judgment unit 101 determines the target public building, performs real-time fire monitoring on the target public building through fiber optic Bragg grating sensing technology, smoke detector technology, heat flame detection technology and / or wireless sensing technology, obtains fire monitoring data, and then compares and analyzes the fire monitoring data according to preset fire standard data, records the comparison and analysis results, and then judges whether there is a fire hazard in the target public building according to the comparison and analysis results.

[0060] The risk impact analysis unit 102 is used to determine the risk impact area of ​​the target public building and the risk impact persons in the risk impact area when there is a fire risk.

[0061] In an embodiment of the present invention, when it is determined that there is a fire hazard in the target public building, the hazard impact analysis unit 102 extracts fire anomaly data that does not meet the preset fire standard data from the fire monitoring data, and then locates the anomaly of the target public building based on the fire anomaly data, determines multiple fire anomaly positions in the target public building, and then determines the fire anomaly area according to the multiple fire anomaly positions, and then performs fire spread impact analysis based on the fire anomaly area to determine the hazard impact area, and then obtains personnel record data, performs personnel matching on the personnel record data according to the hazard impact area, and determines the hazard impact personnel in the hazard impact area.

[0062] Specifically, Figure 8 It shows a structural block diagram of the risk impact analysis unit 102 in the system provided by an embodiment of the present invention.

[0063] In a preferred embodiment of the present invention, the risk impact analysis unit 102 specifically includes: The data extraction module 1021 is used to extract fire abnormality data from the fire monitoring data when there is a fire hazard; Anomaly locating module 1022, used to locate anomalies of the target public building according to the fire anomaly data, and determine multiple fire anomaly locations; An area determination module 1023 is used to determine a fire abnormality area according to the plurality of fire abnormality positions; An impact analysis module 1024 is used to perform fire spread impact analysis based on the fire abnormality area to determine the dangerous impact area; Data acquisition module 1025, used to acquire personnel record data; The personnel matching module 1026 is used to perform personnel matching on the personnel record data according to the danger impact area to determine the danger impact personnel.

[0064] Furthermore, the fire engineering early warning system based on the Internet of Things also includes: The Internet of Things space positioning unit 103 is used to establish a real-time connection with the mobile terminal of the dangerous person based on the Internet of Things technology, and perform Internet of Things space positioning to determine the real-time location of the dangerous person.

[0065] In an embodiment of the present invention, the Internet of Things space positioning unit 103 determines the mobile terminal of the person affected by the danger, obtains the communication address of the mobile terminal, and then based on the Internet of Things technology, establishes a real-time connection with the mobile terminal of the person affected by the danger according to the communication address, generates a positioning detection signal, sends the positioning detection signal to the mobile terminal of the person through multiple Internet of Things devices, and then receives the detection feedback signal transmitted by the mobile terminal of the person through multiple Internet of Things devices. By performing signal strength analysis on multiple detection feedback signals and combining the device positions of multiple Internet of Things devices, the mobile terminal of the person affected by the danger is analyzed through the Internet of Things space positioning, and the real-time position of the person affected by the danger is determined.

[0066] Specifically, Fig. 9 The structure block diagram of the Internet of Things space positioning unit 103 in the system provided by an embodiment of the present invention is shown.

[0067] Among them, in the preferred embodiment provided by the present invention, the IoT space positioning unit 103 specifically includes: A mobile terminal determination module 1031 is used to determine the mobile terminals of the personnel affected by the danger; The address acquisition module 1032 is used to acquire the communication address of the personnel mobile terminal; The emergency connection module 1033 is used to establish a real-time connection with the personnel mobile terminal according to the communication address based on the Internet of Things technology; A signal sending module 1034, used to generate and send a positioning detection signal to the personnel mobile terminal; A feedback receiving module 1035, configured to receive a plurality of detection feedback signals; The Internet of Things space positioning module 1036 is used to perform Internet of Things space positioning according to the multiple detection feedback signals to determine the real-time position of the person affected by the danger.

[0068] Furthermore, the fire engineering early warning system based on the Internet of Things also includes: The evacuation route planning unit 104 is used to plan a fire evacuation route according to the real-time location of the personnel.

[0069] In an embodiment of the present invention, the evacuation route planning unit 104 obtains the BIM model of the target public building, then identifies the safety passages on the BIM model, and constructs a safety passage model based on the BIM model. Then, according to the real-time location of the personnel, evacuation planning is performed in the safety passage model to generate a fire evacuation route.

[0070] Specifically, Fig.10 It shows a structural block diagram of the evacuation route planning unit 104 in the system provided by the embodiment of the present invention.

[0071] In a preferred embodiment of the present invention, the evacuation route planning unit 104 specifically includes: The model acquisition module 1041 is used to acquire the BIM model of the target public building; A model building module 1042 is used to build a safety passage model according to the BIM model; The evacuation planning module 1043 is used to perform evacuation planning in the safety passage model according to the real-time location of the personnel and generate a fire evacuation route.

[0072] Furthermore, the fire engineering early warning system based on the Internet of Things also includes: The evacuation warning guidance unit 105 is used to generate and send an evacuation guidance signal to the personnel mobile terminal according to the real-time position of the personnel and the fire evacuation route, and provide real-time evacuation warning guidance through the personnel mobile terminal.

[0073] In an embodiment of the present invention, the evacuation warning guidance unit 105 determines the evacuation guidance direction according to the real-time position of the personnel and the fire evacuation route, and then generates a corresponding evacuation guidance signal in real time according to the evacuation guidance direction. The evacuation guidance signal is sent to the personnel mobile terminal, and the evacuation guidance signal is visualized on the personnel mobile terminal to display the evacuation guidance mark corresponding to the evacuation guidance direction. Through the evacuation guidance mark, real-time evacuation warning guidance is provided to the dangerous personnel. During the evacuation of the dangerous personnel, the evacuation guidance mark changes with the change of the real-time position of the personnel, thereby realizing dynamic guidance of the evacuation warning.

[0074] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0075] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0076] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0077] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0078] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A fire engineering early warning method based on the Internet of Things, characterized in that: The method specifically comprises the following steps: Conduct real-time fire monitoring of target public buildings, obtain fire monitoring data, analyze the fire monitoring data, and determine whether there is a fire hazard; When there is a fire hazard, determine the hazardous impact area of ​​the target public building and determine the hazardous affected persons in the hazardous impact area; Based on the Internet of Things technology, a real-time connection is established with the mobile terminal of the personnel affected by the danger, and the Internet of Things space positioning is performed to determine the real-time location of the personnel affected by the danger; Plan fire evacuation routes according to the real-time locations of the personnel; According to the real-time location of the personnel and the fire evacuation route, an evacuation guidance signal is generated and sent to the personnel mobile terminal, and real-time evacuation warning guidance is provided through the personnel mobile terminal; The real-time fire monitoring of the target public building, obtaining fire monitoring data, analyzing the fire monitoring data, and determining whether there is a fire hazard specifically comprises the following steps: Identify target public buildings; Conducting real-time fire monitoring on the target public building to obtain fire monitoring data; According to the preset fire protection standard data, the fire protection monitoring data is compared and analyzed, and the comparison and analysis results are recorded; Determining whether there is a fire hazard based on the comparison and analysis results; According to the preset fire protection standard data, the fire protection monitoring data is compared and analyzed, and the comparison and analysis results are recorded. The specific steps are as follows: Count the total logarithms of all fire monitoring data and fire standard data; Obtain the fire monitoring value, fire standard value, standard deviation, nonlinear adjustment factor and weight factor of each data point through fire monitoring data and fire standard data; Based on the fire monitoring value and the fire standard value, the data deviation value of each data point is calculated and obtained; Then, adjusting the data deviation value by a nonlinear adjustment factor to obtain an adjusted data deviation value; The absolute difference between the standard deviation and the fire standard value is calculated, and the absolute difference is adjusted to ensure that the result is always within a preset range to obtain a logarithmic correction term; A weighted data deviation value is calculated based on the adjusted data deviation value and the weight factor; Within the total logarithm of the fire monitoring data and the fire standard data, all weighted data deviation values ​​are accumulated to obtain the analysis result.

2. The fire engineering early warning method based on the Internet of Things according to claim 1 is characterized in that: When there is a fire hazard, determining the dangerous impact area of ​​the target public building and determining the dangerously affected persons in the dangerous impact area specifically comprises the following steps: When there is a fire hazard, extracting fire abnormality data from the fire monitoring data; According to the fire anomaly data, the target public building is anomaly located to determine multiple fire anomaly locations; Determining a fire protection abnormality area according to the plurality of fire protection abnormality positions; Based on the fire abnormality area, conduct fire spread impact analysis to determine the dangerous impact area; Obtain personnel record data; According to the danger impact area, personnel matching is performed on the personnel record data to determine the danger impact personnel.

3. The fire engineering early warning method based on the Internet of Things according to claim 2 is characterized in that: Based on the fire abnormality area, a fire spread impact analysis is performed to determine the dangerous impact area. The specific steps are as follows: The maximum fire fighting distance is obtained through the fire fighting abnormality area, and the fire fighting release rate per unit distance is obtained through the fire fighting abnormality data within the maximum fire fighting distance; The fire release distribution results per unit distance are obtained by using the sphere surface area calculation formula; Based on the maximum fire fighting distance, the attenuation factor corresponding to each fire fighting distance is determined by an exponential function; The fire impact intensity value is calculated using the fire release distribution results, attenuation factor and fire release rate; On the basis of the maximum fire fighting distance, the fire fighting impact intensity value is integrated to obtain the comprehensive impact intensity value; The hazard impact area is determined based on the comprehensive impact intensity value to determine the corresponding hazard impact area.

4. The fire engineering early warning method based on the Internet of Things according to claim 3 is characterized in that: The method of establishing a real-time connection with the mobile terminal of the person affected by the danger based on the Internet of Things technology and performing Internet of Things spatial positioning to determine the real-time location of the person affected by the danger specifically includes the following steps: Determine the personnel movement end of the personnel affected by the danger; Obtaining the communication address of the personnel's mobile terminal; Based on the Internet of Things technology, a real-time connection is established with the personnel's mobile terminal according to the communication address; Generate and send a positioning detection signal to the personnel mobile terminal; receiving a plurality of detection feedback signals; Based on the multiple detection feedback signals, IoT spatial positioning is performed to determine the real-time location of the person affected by the danger.

5. The fire engineering early warning method based on the Internet of Things according to claim 4 is characterized in that: According to the plurality of detection feedback signals, the IoT space positioning is performed to determine the real-time position of the personnel affected by the danger, and the specific steps are as follows: The total number of signal sources, signal strength, weight factors of signal sources, distances of signal sources, and angles of reference directions are obtained based on the detection feedback signals; Determine the corresponding distance attenuation factor based on the signal source distance and the real-time position of the personnel; The angle of the reference direction is adjusted by the cosine function to obtain the direction correction factor; Based on the signal strength, a signal strength adjustment value is obtained through nonlinear adjustment; The strength value of the signal source is obtained by combining the distance attenuation factor, the direction correction factor, the signal strength adjustment value and the weight factor of the signal source; Within the total number of signal sources, the intensity values ​​of all signal sources are accumulated to obtain the danger intensity value; IoT spatial positioning is performed based on the hazard intensity value to determine the real-time location of people affected by the hazard.

6. The fire engineering early warning method based on the Internet of Things according to claim 5 is characterized in that: The planning of the fire evacuation route according to the real-time location of the personnel specifically includes the following steps: Obtaining a BIM model of the target public building; According to the BIM model, a safety passage model is constructed; According to the real-time location of the personnel, evacuation planning is performed in the safety passage model to generate a fire evacuation route.

7. The fire engineering early warning method based on the Internet of Things according to claim 6 is characterized in that: In the step of performing evacuation planning in the safety passage model according to the real-time position of the personnel and generating a fire evacuation route, the following sub-steps are specifically included: The length of the evacuation route, average evacuation speed, risk correction factor, congestion correction factor and dynamic environment correction factor are obtained through the safe passage model; For each route, the evacuation time is calculated based on the length of the evacuation route and the average evacuation speed; Apply the risk correction factor, congestion correction factor and dynamic environment correction factor to the evacuation time to obtain the processed evacuation time; All processed evacuation times are accumulated to obtain the total evacuation time; Calculate the total evacuation time for all routes; Arrange the total evacuation time of all routes from low to high, and select the one with the shortest total evacuation time; The fire evacuation route shall be the one with the shortest total evacuation time.

8. The fire engineering early warning method based on the Internet of Things according to claim 7 is characterized in that: The generating and sending of an evacuation guidance signal to the personnel mobile terminal according to the personnel's real-time location and the fire evacuation route, and providing real-time evacuation warning guidance through the personnel mobile terminal specifically include the following steps: Generating an evacuation guidance signal in real time according to the real-time location of the personnel and the fire evacuation route; Sending the evacuation guidance signal to the personnel mobile terminal; According to the evacuation guidance signal, generating and displaying an evacuation guidance mark on the personnel mobile terminal; Through the evacuation guidance signs, real-time evacuation warning guidance is provided to people affected by danger.

9. A fire engineering early warning system based on the Internet of Things, characterized in that: The system applies the fire engineering early warning method based on the Internet of Things as described in any one of claims 1 to 8 above, and the system includes a fire monitoring and judgment unit, a hazard impact analysis unit, an Internet of Things space positioning unit, an evacuation route planning unit and an evacuation early warning guidance unit, wherein: A fire monitoring and judgment unit is used to perform real-time fire monitoring of a target public building, obtain fire monitoring data, analyze the fire monitoring data, and judge whether there is a fire hazard; A risk impact analysis unit, used to determine a risk impact area of ​​the target public building and determine risk-affected persons in the risk impact area when there is a fire risk; An IoT space positioning unit is used to establish a real-time connection with a mobile terminal of the person affected by the danger based on IoT technology, and to perform IoT space positioning to determine the real-time position of the person affected by the danger; An evacuation route planning unit, used to plan a fire evacuation route according to the real-time location of the personnel; The evacuation warning guidance unit is used to generate and send an evacuation guidance signal to the personnel mobile terminal according to the real-time position of the personnel and the fire evacuation route, and to provide real-time evacuation warning guidance through the personnel mobile terminal.

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