Building fire early warning method and system based on Internet of Things

Abstract

The invention is suitable for the technical field of intelligent early warning, and provides a building fire early warning method and system based on the Internet of Things, and the method comprises the steps: obtaining the real-time monitoring image information of a target building based on a monitoring camera, and then rapidly determining the information of an inflammable object according to the real-time monitoring image information and a target detection algorithm, according to the present invention, a method for generating fire alarm information is provided, then target sensor set information is timely determined based on inflammable article information, then a sensitivity increasing instruction is efficiently generated and executed based on the target sensor set information to increase the sensitivity of the target sensor set information, and if the target sensor set information generates a trigger signal, fire alarm information is quickly generated. According to the invention, even if a combustion source is far away from the smoke sensor, potential safety hazards can still be rapidly and accurately detected, an alarm mechanism can be triggered in time, the response speed of fire early warning and the overall safety protection level are remarkably improved, the life and property safety of personnel is effectively guaranteed, and the fire risk is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent early warning, in particular to a building fire early warning method and system based on Internet of Things. BACKGROUND

[0002] Internet of Things (IoT) refers to the connection of various physical devices to each other through the Internet to realize information collection and transmission; in the early stage of a fire, the safety of personnel will also be greatly threatened.

[0003] At present, a building usually determines whether a fire occurs inside through a smoke sensor, but when the burning source is far away from the smoke sensor, the alarm can be triggered only when the fire develops to a large extent, which has the problem of low safety and needs to be further improved. SUMMARY

[0004] Therefore, the embodiments of the present application provide a building fire early warning method and system based on Internet of Things to solve the problem of low safety in the prior art.

[0005] In a first aspect, the embodiments of the present application provide a building fire early warning method based on Internet of Things, which comprises: continuously acquiring real-time monitoring image information of a target building based on a preset monitoring camera; determining flammable object information according to the real-time monitoring image information and a preset target detection algorithm; determining target sensor set information based on the flammable object information; generating and executing a sensitivity increase instruction based on the target sensor set information, wherein the sensitivity increase instruction is used to indicate to increase the sensitivity of the target sensor set information; generating a fire alarm information if the target sensor set information generates a trigger signal.

[0006] Compared with the prior art, the building fire early warning method based on Internet of Things provided by the embodiments of the present application has the beneficial effects that: the terminal device can first continuously acquire real-time monitoring image information of a target building based on a monitoring camera, then quickly determine flammable object information according to the real-time monitoring image information and a target detection algorithm, timely determine target sensor set information based on the flammable object information, efficiently generate and execute a sensitivity increase instruction based on the target sensor set information to increase the sensitivity of the target sensor set information, and rapidly generate a fire alarm information if the target sensor set information generates a trigger signal, so as to realize timely triggering of an alarm even if the burning source is far away from the smoke sensor, greatly improve the safety, and to a certain extent, solve the problem of low safety.

[0007] In a second aspect, the embodiments of the present application provide a building fire early warning system based on Internet of Things, which comprises: a real-time monitoring image information acquisition module, configured to continuously acquire real-time monitoring image information of a target building based on a preset monitoring camera; a flammable article information determination module, configured to determine flammable article information according to the real-time monitoring image information and a preset target detection algorithm; a target sensor set information determination module, configured to determine target sensor set information based on the flammable article information; a sensitivity increase instruction generation module, configured to generate and execute a sensitivity increase instruction based on the target sensor set information, wherein the sensitivity increase instruction is used to instruct to increase the sensitivity of the target sensor set information; a fire alarm information generation module, configured to generate fire alarm information if the target sensor set information generates a trigger signal.

[0008] In a third aspect, the embodiments of the present application provide a terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method of the first aspect when executing the computer program.

[0009] In a fourth aspect, the embodiments of the present application provide a computer readable storage medium, which stores a computer program, wherein the computer program is executable by a processor to implement the steps of the method of the first aspect.

[0010] It can be understood that the beneficial effects of the second aspect to the fourth aspect can be referred to the related description in the first aspect, which will not be repeated here. BRIEF DESCRIPTION OF DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiments or prior art description will be briefly introduced as follows.

[0012] Figure 1 is a flowchart of a building fire early warning method provided by an embodiment of the present application; Figure 2 is a flowchart of step S200 in the building fire early warning method provided by an embodiment of the present application; Figure 3 is a flowchart of step S300 in the building fire early warning method provided by an embodiment of the present application; Figure 4 is a flowchart after step S330 in the building fire early warning method provided by an embodiment of the present application; Figure 5 is a flowchart of a process after step S500 in the building fire warning method provided by an embodiment of the present application; Figure 6 is a flowchart of a process before step S504 in the building fire warning method provided by an embodiment of the present application; Figure 7 is a module block diagram of the building fire warning system provided by an embodiment of the present application; Figure 8 is a schematic diagram of the terminal device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0013] In the following description, for the purpose of explanation and not limitation, specific details are set forth, such as particular system configurations, techniques, etc., in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application can be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0014] In the description of the present application and the appended claims, the terms "first", "second", "third", etc. are used only to distinguish descriptions, and cannot be understood as indicating or implying relative importance.

[0015] In the present application, the reference "one embodiment" or "some embodiments" means that the specific features, structures or characteristics described in connection with the embodiment are included in one or more embodiments of the present application. Therefore, the statements "in one embodiment", "in some embodiments", "in other some embodiments", "in further some embodiments" and the like appearing in the present specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized. The terms "include", "contain", "have" and their variants mean "include but not limited to", unless otherwise specifically emphasized.

[0016] In order to illustrate the technical solutions described in the present application, the following will be described by specific embodiments.

[0017] Please refer to Figure 1 , Figure 1is a flowchart of a building fire warning method based on the Internet of Things provided by the embodiment of the present application. In this embodiment, the execution subject of the building fire warning method is a terminal device. It can be understood that the types of the terminal device include but are not limited to mobile phones, tablet computers, notebook computers, ultra-mobile personal computers (UMPC), netbooks, personal digital assistants (PDA), etc., and the specific type of the terminal device is not limited in the embodiment of the present application.

[0018] Please refer to Figure 1 The building fire warning method provided by the embodiment of the present application includes but is not limited to the following steps: In S100, based on the preset monitoring camera, the real-time monitoring image information of the target building is continuously acquired.

[0019] Specifically, the terminal device can continuously acquire the real-time monitoring image information of the target building based on the preset monitoring camera, wherein the monitoring camera is pre-installed in the target building; the real-time monitoring image information is used to describe the real-time image obtained by the monitoring camera shooting the internal floor of the target building.

[0020] In S200, the combustible material information is determined according to the real-time monitoring image information and the preset target detection algorithm.

[0021] Specifically, after the terminal device acquires the real-time monitoring image information, the terminal device can effectively determine the combustible material information according to the real-time monitoring image information and the preset target detection algorithm, so as to actively and quickly determine the combustible material of potential safety hazards.

[0022] In some possible implementation manners, in order to determine the combustible material information, please refer to Figure 2 Step S200 includes but is not limited to the following steps: In S210, based on the preset target detection algorithm, the real-time monitoring image information is subjected to article category identification processing to determine the monitoring object category information.

[0023] Specifically, the terminal device can subject the real-time monitoring image information to article category identification processing based on the preset target detection algorithm to determine the monitoring object category information, wherein the target detection algorithm can be a YOLOv8 algorithm, an SSD (Single Shot MultiBox Detector) algorithm or a Faster R-CNN (Region-based CNN) algorithm; the monitoring object category information is used to describe the category corresponding to the article object in the real-time monitoring image information.

[0024] In S220, it is judged whether the monitoring object category information is the same as any one of the combustible object reference objects based on the preset combustible object reference object set.

[0025] Specifically, after the terminal device determines the monitoring object category information, the terminal device can judge whether the monitoring object category information is the same as any one of the combustible object reference objects in the preset combustible object reference object set, wherein the combustible object reference object set includes a plurality of combustible object reference objects, and the combustible object reference objects can be wooden furniture, cartons, foam boxes, clothes, etc.

[0026] In S230, if the monitoring object category information is the same as any one of the combustible object reference objects, it is determined that the monitoring object category information is the combustible object information.

[0027] Specifically, if the monitoring object category information is the same as any one of the combustible object reference objects, the terminal device can determine that the monitoring object category information is the combustible object information.

[0028] In S300, the target sensor set information is determined based on the combustible object information.

[0029] Specifically, after the terminal device determines the combustible object information, the terminal device can effectively determine the target sensor set information based on the combustible object information, thereby facilitating early warning, preventing fire spread, and protecting personnel and property safety.

[0030] In some possible implementation manners, in order to determine the target sensor set information, please refer to Figure 3 , step S300 includes but is not limited to the following steps: In S310, the belonging position information of the combustible object information is obtained based on the preset three-dimensional building model information.

[0031] Specifically, the terminal device can obtain the belonging position information of the combustible object information based on the preset three-dimensional building model information, wherein the three-dimensional building model information is used to describe the three-dimensional model of the target building; and the belonging position information is used to describe the current location of the combustible object information.

[0032] In S320, the influence range information is generated according to the belonging position information and the preset influence distance value information.

[0033] Specifically, after the terminal device acquires the belonging position information, the terminal device can generate the influence range information according to the belonging position information and the preset influence distance value information, wherein the influence range information is used to describe a positive hemispherical region with the belonging position information as the center and the influence distance value information as the radius; and the specific value of the influence distance value information can be equal to the specific value of the belonging floor height information corresponding to the belonging position information, wherein the belonging floor height information is used to describe the floor height corresponding to the floor where the flammable object information is located, such as 2.8 meters, 3.6 meters or 5 meters.

[0034] In S330, a plurality of first target sensor information is determined based on the influence range information.

[0035] Specifically, after the terminal device generates the influence range information, the terminal device can determine a plurality of first target sensor information based on the influence range information, wherein the first target sensor information is the first target temperature sensor information, the first target smoke sensor information and / or the first target gas sensor information; and the installation position of the first target sensor information is located within the influence range information, that is, the first target temperature sensor information is used to describe a temperature sensor with the installation position located within the influence range information, the first target smoke sensor information is used to describe a smoke sensor with the installation position located within the influence range information, and the first target gas sensor information is used to describe a gas sensor with the installation position located within the influence range information.

[0036] In S340, target sensor set information is generated according to the plurality of first target sensor information.

[0037] Specifically, after the terminal device determines the plurality of first target sensor information, the terminal device can effectively generate the target sensor set information according to the plurality of first target sensor information, wherein the target sensor set information can include a set composed of the plurality of first target sensor information.

[0038] In some possible implementation manners, in order to facilitate the protection of the safety of the building, please refer to Figure 4 After S330, the method further includes but is not limited to the following steps: In S331, the nearest sensor information is determined based on the belonging position information.

[0039] Specifically, the terminal device can determine the nearest sensor information based on the belonging position information, wherein the nearest sensor information is located on the same floor of the target building as the belonging position information; and the nearest sensor information is used to describe a temperature sensor, a smoke sensor or a gas sensor closest to the belonging position information.

[0040] In S332, it is judged whether the installation position of the nearest sensor information is located outside the influence range information.

[0041] Specifically, after the terminal device determines the latest sensor information, the terminal device can determine whether the installation position of the latest sensor information is located outside the influence range information.

[0042] In S333, if the installation position of the latest sensor information is located outside the influence range information, the optimized distance value information is generated according to the location information, the installation position of the latest sensor information, and the preset additional distance value information.

[0043] Specifically, if the installation position of the latest sensor information is located outside the influence range information, it indicates that the distance between the sensor closest to the location information and the combustible object with potential safety hazards is far, and it is difficult to trigger the fire warning in time. Therefore, the terminal device can first calculate the distance value between the location information and the installation position of the latest sensor information, and then generate the optimized distance value information by adding the sum of the distance value and the preset additional distance value information. The specific value of the additional distance value information is a custom value, such as 1 meter.

[0044] In S334, the optimized range information is generated according to the location information and the optimized distance value information.

[0045] Specifically, after the terminal device generates the optimized distance value information, the terminal device can generate the optimized range information according to the location information and the optimized distance value information. The specific execution logic can refer to the related description in the above step S320, and thus is not described herein. The optimized range information is used to describe a positive hemispherical region with the location information as the center and the optimized distance value information as the radius.

[0046] In S335, the plurality of second target sensor information is determined based on the optimized range information.

[0047] Specifically, after the terminal device generates the optimized range information, the terminal device can quickly determine the plurality of second target sensor information based on the optimized range information. The second target sensor information is the second target temperature sensor information, the second target smoke sensor information, and / or the second target gas sensor information. The installation position of the second target sensor information is located within the optimized range information, i.e., the second target temperature sensor information is used to describe a temperature sensor with an installation position located within the optimized range information, the second target smoke sensor information is used to describe a smoke sensor with an installation position located within the optimized range information, and the second target gas sensor information is used to describe a gas sensor with an installation position located within the optimized range information.

[0048] In S336, the target sensor set information is generated according to the plurality of second target sensor information.

[0049] Specifically, after the terminal device determines the plurality of second target sensor information, the terminal device can generate target sensor set information according to the plurality of second target sensor information, wherein the target sensor set information can include a set composed of the plurality of second target sensor information.

[0050] In S400, the sensitivity increase instruction is generated and executed based on the target sensor set information.

[0051] Specifically, after the terminal device determines the target sensor set information, the terminal device can generate and execute the sensitivity increase instruction based on the target sensor set information, so as to increase the sensitivity of the target sensor in the target sensor set information, which is conducive to predicting the occurrence of fire in advance, wherein the sensitivity increase instruction is used to indicate the increase of the sensitivity of the target sensor set information.

[0052] In S500, if the target sensor set information generates a trigger signal, fire alarm information is generated.

[0053] Specifically, if the target sensor set information generates a trigger signal, it indicates that the flammable object information has a fire, so the terminal device can generate fire alarm information, wherein the fire alarm information is used to indicate that the location of the flammable object information has a fire.

[0054] In some possible implementations, in order to facilitate the firefighters to arrive at the core fire location in time, please refer to Figure 5 After S500, the method further includes but is not limited to the following steps: In S501, the building entrance information of the target building and the location information of all flammable object information are obtained.

[0055] Specifically, the terminal device can first obtain the building entrance information of the target building and the location information of all flammable object information, wherein the building entrance information is used to describe the personnel entrance of the target building; and the location information is used to describe the location corresponding to other flammable object information.

[0056] In S502, potential danger point information is generated according to each location information.

[0057] Specifically, after the terminal device obtains the building entrance information and the location information, the terminal device can define each location information as potential danger point information, wherein the potential danger point information is used to indicate that the location information can also have a fire, and the location has a potential danger.

[0058] In S503, the arrival path information is generated according to the building entrance information and the location information.

[0059] Specifically, after the terminal device generates the potential danger point information, the terminal device can generate the arrival path information according to the building entrance information and the belonging position information, where the arrival path information is used to describe a path starting from the building entrance information and ending at the belonging position information; the arrival path information does not coincide with other influence range information except the influence range information corresponding to the belonging position information.

[0060] In S504, the arrival path information and the plurality of potential danger point information are sent to a designated terminal.

[0061] Specifically, after the terminal device generates the arrival path information, the terminal device can send the arrival path information and the plurality of potential danger point information to a designated terminal, thereby facilitating the firefighter to arrive at the core fire location along the safest path and ensuring the safety of the firefighter, where the designated terminal is used to describe a terminal corresponding to the firefighter or a terminal corresponding to the fire station.

[0062] In some possible implementation manners, in order to more facilitate the improvement of rescue safety, please refer to Figure 6 Before S504, the method further includes but is not limited to the following steps: In S5041, the burning time information of the flammable object information is acquired.

[0063] Specifically, the terminal device can acquire the burning time information of the flammable object information, where the burning time information is used to describe the burning time of the flammable object information, i.e., the time corresponding to the trigger signal of the target sensor.

[0064] In S5042, the fire scene analysis data packet information is generated according to the burning time information corresponding to the flammable object information, the monitoring object category information and the belonging position information.

[0065] Specifically, after the terminal device acquires the burning time information, the terminal device can comprehensively generate the fire scene analysis data packet information according to the burning time information corresponding to the flammable object information, the monitoring object category information and the belonging position information.

[0066] In S5043, the fire scene analysis data packet information is sent to a designated terminal.

[0067] Specifically, after the terminal device generates the fire scene analysis data packet information, the terminal device can send the fire scene analysis data packet information to a designated terminal, thereby facilitating the firefighter to more deeply understand and analyze the specific fire situation of the building.

[0068] The implementation principle of the building fire early warning method based on the Internet of Things in the embodiments of the present application is as follows: the terminal device can continuously acquire real-time monitoring image information of a target building based on a preset monitoring camera, quickly determine flammable object information according to the real-time monitoring image information and a preset target detection algorithm, timely determine target sensor set information based on the flammable object information, efficiently generate and execute a sensitivity increase instruction based on the target sensor set information to increase the sensitivity of the target sensor set information, and rapidly generate fire alarm information if the target sensor set information generates a trigger signal, so as to timely trigger an alarm even if the burning source is far away from the smoke sensor, and greatly improve the safety.

[0069] It should be noted that the size of the serial number of each step in the above embodiments does not mean the order of execution, and the execution order of each process should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0070] The embodiments of the present application also provide a building fire early warning system based on the Internet of Things. For the convenience of description, only the parts related to the present application are shown, as shown in the figure, the system 70 includes: Figure 7 The real-time monitoring image information acquisition module 71 is configured to continuously acquire real-time monitoring image information of a target building based on a preset monitoring camera; The flammable object information determination module 72 is configured to determine flammable object information according to the real-time monitoring image information and a preset target detection algorithm; The target sensor set information determination module 73 is configured to determine target sensor set information based on the flammable object information; The sensitivity increase instruction generation module 74 is configured to generate and execute a sensitivity increase instruction based on the target sensor set information, wherein the sensitivity increase instruction is used to instruct to increase the sensitivity of the target sensor set information; The fire alarm information generation module 75 is configured to generate fire alarm information if the target sensor set information generates a trigger signal.

[0071] Optionally, the flammable object information determination module 72 includes: The monitoring object category information determination sub-module is configured to perform object category identification processing on the real-time monitoring image information based on the preset target detection algorithm to determine monitoring object category information, wherein the monitoring object category information is used to describe the category corresponding to the object in the real-time monitoring image information; The monitoring object category information judgment sub-module is configured to judge whether the monitoring object category information is the same as any one of the flammable object reference objects based on a preset flammable object reference object set, wherein the flammable object reference object set includes a plurality of flammable object reference objects.​ The flammable object information determination sub-module is configured to determine the monitoring object category information as the flammable object information if the monitoring object category information is identical to any one of the flammable object reference objects. Correspondingly, the target sensor set information determination module 73 includes: The location information acquisition module is configured to acquire location information of the flammable object based on the preset three-dimensional building model information. The influence range information generation module is configured to generate influence range information according to the location information and preset influence distance value information, wherein the influence range information is used to describe a positive hemispherical region with the location information as the center and the influence distance value information as the radius, and the influence distance value information is equal to the corresponding location height information of the location information. The first target sensor information determination module is configured to determine a plurality of first target sensor information based on the influence range information, wherein the first target sensor information is the first target temperature sensor information, the first target smoke sensor information, and / or the first target gas sensor information, and the installation position of the first target sensor information is located within the influence range information. The target sensor set information generation module is configured to generate target sensor set information according to the plurality of first target sensor information.

[0072] Optionally, the system 70 further includes: The nearest sensor information determination module is configured to determine nearest sensor information based on the location information, wherein the nearest sensor information is located on the same floor of the target building as the location information. The installation position judgment module is configured to judge whether the installation position of the nearest sensor information is located outside the influence range information. The optimized distance value information generation module is configured to generate optimized distance value information according to the location information, the installation position of the nearest sensor information, and preset additional supplemental distance value information if the installation position of the nearest sensor information is located outside the influence range information. The optimized range information generation module is configured to generate optimized range information according to the location information and the optimized distance value information, wherein the optimized range information is used to describe a positive hemispherical region with the location information as the center and the optimized distance value information as the radius. The second target sensor information determination module is configured to determine a plurality of second target sensor information based on the optimized range information, wherein the second target sensor information is the second target temperature sensor information, the second target smoke sensor information, and / or the second target gas sensor information, and the installation position of the second target sensor information is located within the optimized range information. Target sensor set information generation module: configured to generate target sensor set information according to the plurality of second target sensor information.

[0073] Optionally, the system 70 further comprises: Building entrance information acquisition module: configured to acquire building entrance information of the target building and location information of all flammable object information; Potential danger point information generation module: configured to generate potential danger point information according to each location information; Arrival path information generation module: configured to generate arrival path information according to the building entrance information and the location information, wherein the arrival path information is used to describe a path starting from the building entrance information and ending at the location information, and the arrival path information does not overlap with other influence range information except the influence range information corresponding to the location information; Arrival path information sending module: configured to send the arrival path information and the plurality of potential danger point information to a designated terminal.

[0074] Optionally, the system 70 further comprises: Combustion time information acquisition module: configured to acquire combustion time information of the flammable object information; Fire scene analysis data packet information generation module: configured to generate fire scene analysis data packet information according to the combustion time information corresponding to the flammable object information, the monitoring object category information and the location information; Fire scene analysis data packet information sending module: configured to send the fire scene analysis data packet information to a designated terminal.

[0075] It should be noted that the information interaction, execution process and the like between the above modules are based on the same concept as the method embodiments of the present application, and the specific functions and the technical effects brought by the same can be referred to the method embodiments part, which will not be described here.

[0076] The present application also provides a terminal device, as shown in Figure 8 The terminal device 80 of the embodiment comprises a processor 81, a memory 82, and a computer program 83 stored in the memory 82 and executable on the processor 81. When the processor 81 executes the computer program 83, the steps in the above building fire warning method embodiments are implemented, for example Figure 1 The steps S100 to S500 shown in the above building fire warning method embodiments are implemented; or, when the processor 81 executes the computer program 83, the functions of the modules in the above device are implemented, for example Figure 7 The functions of the modules 71 to 75 shown in the above device are implemented.

[0077] The terminal device 80 can be a desktop computer, a notebook computer, a palm computer, a cloud server and the like, and the terminal device 80 includes but is not limited to a processor 81 and a memory 82. Those skilled in the art can understand that Figure 8 The terminal device 80 is only an example and does not constitute a limitation on the terminal device 80, and can include more or less components than the illustration, or combine certain components, or different components, for example, the terminal device 80 can also include an input / output device, a network access device, a bus and the like.

[0078] The processor 81 can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.; the general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0079] The memory 82 can be an internal storage unit of the terminal device 80, for example, a hard disk or a memory of the terminal device 80, and the memory 82 can also be an external storage device of the terminal device 80, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card and the like equipped on the terminal device 80; further, the memory 82 can include both the internal storage unit and the external storage device of the terminal device 80, and the memory 82 can also store a computer program 83 and other programs and data required by the terminal device 80, and the memory 82 can also be used to temporarily store data that has been output or will be output.

[0080] An embodiment of the present application further provides a computer readable storage medium, which stores a computer program. The computer program, when executed by a processor, can implement the steps of each method embodiment described above. The computer program includes computer program code, which can be in the form of source code, object code, executable code, or some intermediate form. The computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, software distribution medium, and the like.

[0081] The above are preferred embodiments of the present application, which do not limit the protection scope of the present application. Any equivalent changes made according to the methods, principles and structures of the present application should be covered within the protection scope of the present application.

Claims

1. A building fire early warning method based on Internet of Things, characterized in that, The method comprises: Based on the preset monitoring camera, continuously acquiring real-time monitoring image information of the target building; According to the real-time monitoring image information and a preset target detection algorithm, determining flammable object information; Based on the flammable object information, determining target sensor set information; Based on the target sensor set information, generating and executing a sensitivity increase instruction, wherein the sensitivity increase instruction is used to instruct to increase the sensitivity of the target sensor set information; If the target sensor set information generates a trigger signal, a fire alarm information is generated.

2. The method of claim 1, wherein, According to the real-time monitoring image information and a preset target detection algorithm, determining flammable object information, comprising: Based on the preset target detection algorithm, performing object category identification processing on the real-time monitoring image information to determine monitoring object category information, wherein the monitoring object category information is used to describe the category corresponding to the object in the real-time monitoring image information; Based on a preset flammable object reference object set, judging whether the monitoring object category information is the same as any one of the flammable object reference objects, wherein the flammable object reference object set comprises a plurality of flammable object reference objects; If the monitoring object category information is the same as any one of the flammable object reference objects, it is determined that the monitoring object category information is flammable object information; Correspondingly, based on the flammable object information, determining target sensor set information, comprising: Based on the preset three-dimensional building model information, acquiring the belonging position information of the flammable object information; According to the belonging position information and a preset influence distance value information, generating influence range information, wherein the influence range information is used to describe a positive hemispherical region with the belonging position information as the center and the influence distance value information as the radius, and the influence distance value information is equal to the belonging floor height information corresponding to the belonging position information; Based on the influence range information, determining a plurality of first target sensor information, wherein the first target sensor information is first target temperature sensor information, first target smoke sensor information and / or first target gas sensor information, and the installation position of the first target sensor information is located within the influence range information; According to a plurality of first target sensor information, generating target sensor set information.

3. The method of claim 2, wherein, After determining a plurality of first target sensor information based on the influence range information, the method further comprises: Based on the belonging position information, determining the nearest sensor information, wherein the nearest sensor information is located on the same floor of the target building as the belonging position information; Judging whether the installation position of the nearest sensor information is located outside the influence range information; If the installation position of the nearest sensor information is located outside the influence range information, according to the belonging position information, the installation position of the nearest sensor information and a preset additional supplement distance value information, generating optimized distance value information; According to the belonging position information and the optimized distance value information, generating optimized range information, wherein the optimized range information is used to describe a positive hemispherical region with the belonging position information as the center and the optimized distance value information as the radius. determine a plurality of second target sensor information based on the optimization range information, wherein the second target sensor information is second target temperature sensor information, second target smoke sensor information, and / or second target gas sensor information, and the installation position of the second target sensor information is located within the optimization range information; generate target sensor set information according to the plurality of second target sensor information.

4. The method of claim 1, wherein, after the target sensor set information generates a trigger signal, the method further comprises: obtain building entrance information of the target building and location information of all flammable object information; generate potential danger point information according to each of the location information; generate arrival path information according to the building entrance information and the location information, wherein the arrival path information is used to describe a path starting from the building entrance information and ending at the location information, and the arrival path information does not overlap with any influence range information other than the influence range information corresponding to the location information; send the arrival path information and the plurality of potential danger point information to a designated terminal.

5. The method of claim 4, wherein, before the arrival path information and the plurality of potential danger point information are sent to the designated terminal, the method further comprises: obtain combustion time information of the flammable object information; generate fire scene analysis data packet information according to the combustion time information, the monitoring object category information, and the location information corresponding to the flammable object information; send the fire scene analysis data packet information to the designated terminal.

6. A building fire early warning system based on Internet of Things, characterized in that, The system comprises: a real-time monitoring image information acquisition module for continuously acquiring real-time monitoring image information of a target building based on a preset monitoring camera; a flammable object information determination module for determining flammable object information according to the real-time monitoring image information and a preset target detection algorithm; a target sensor set information determination module for determining target sensor set information based on the flammable object information; a sensitivity increase instruction generation module for generating and executing a sensitivity increase instruction based on the target sensor set information, wherein the sensitivity increase instruction is used to instruct to increase the sensitivity of the target sensor set information; a fire alarm information generation module for generating fire alarm information if the target sensor set information generates a trigger signal.

7. The system of claim 6, wherein, The flammable object information determination module comprises: a monitoring object category information determination submodule for performing object category identification processing on the real-time monitoring image information based on a preset target detection algorithm to determine monitoring object category information, wherein the monitoring object category information is used to describe the category corresponding to the object in the real-time monitoring image information; a monitoring object category information judgment submodule for judging whether the monitoring object category information is the same as any one of a plurality of flammable object reference objects based on a preset flammable object reference object set, wherein the flammable object reference object set comprises a plurality of flammable object reference objects. The flammable article information determining sub-module is configured to determine the monitoring object category information as flammable article information if the monitoring object category information is identical to any one of the flammable article reference objects.

8. A terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The computer program is executed by the processor to implement the steps of the method according to any one of claims 1 to 5.

9. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 8. The computer program is executed by the processor to implement the steps of the method according to any one of claims 1 to 5.

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