Fire investigation method and device, computer equipment and storage medium

Abstract

The invention relates to a fire investigation method and device, computer equipment and a storage medium. The method comprises the following steps: based on a received fire signal, determining a target position of a detection module corresponding to the fire signal; based on the target position, acquiring an environment image matched with the target position and monitoring information of a first control module matched with the target position; the environment image comprises a satellite image; determining operation state information of the detection module based on the environment image and the monitoring information; and obtaining a fire investigation result based on the operation state information of the detection module. By adopting the method, the labor cost can be reduced and the troubleshooting efficiency can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of fire protection engineering, and particularly to a fire situation investigation method, device, computer device, and storage medium. Background Art

[0002] Nowadays, in fire safety deployment, the fire protection system has become an indispensable part. The fire protection system usually adopts a loop design, connecting multiple detectors to the same loop. When a detector triggers an alarm, the fire protection system can obtain the fire situation. Since the wires need to be buried, it is easy to cause grounding faults. For example, during installation and maintenance, they may be cut or crushed by an excavator, resulting in grounding faults and false alarms.

[0003] In the traditional technology, a method for investigating line grounding faults is provided by repeatedly confirming the same alarm signal within a certain duration. If the initial confirmation is not a false alarm, maintenance personnel are then dispatched to conduct on-site tests with a multimeter. However, this method still requires manual inspection, resulting in high labor costs and being unable to determine whether a real fire has occurred in a timely manner, with low investigation efficiency.

[0004] It can be seen that the current fire safety system still has problems of high labor costs and low efficiency in fault investigation. Summary of the Invention

[0005] Based on this, it is necessary to provide a fire situation investigation method, device, computer device, and storage medium that can reduce labor costs and improve investigation efficiency for the above technical problems.

[0006] In a first aspect, the present application provides a fire situation investigation method, which includes:

[0007] Based on the received fire signal, determine the target position of the detection module corresponding to the fire signal;

[0008] Based on the target position, obtain the environmental image matching the target position and the monitoring information of the first control module matching the target position; the environmental image includes satellite images;

[0009] Based on the environmental image and the monitoring information, determine the operating status information of the detection module;

[0010] Based on the operating status information of the detection module, obtain the fire situation investigation result.

[0011] In one of the embodiments, the step of based on the received fire signal, determining the target position of the detection module corresponding to the fire signal includes:

[0012] Extract information from the fire signal to obtain the first position information of the fire signal;

[0013] Based on the first position information and a preset geographical image, determine the second position information of the target control module corresponding to the fire signal;

[0014] Based on the second position information, determine the target position of the detection module corresponding to the fire signal.

[0015] In one embodiment, the determining the operating state information of the detection module based on the environmental image and the monitoring information includes:

[0016] Based on the environmental image, determine the first fire state of the target position;

[0017] Based on the monitoring information, determine the second fire state of the target position;

[0018] Based on the matching situation between the fire signal and the first fire state and the second fire state, determine the operating state information of the detection module.

[0019] In one embodiment, the obtaining the environmental image matching the target position based on the target position includes:

[0020] Based on the preset geographical image and the target position, determine the target geographical range;

[0021] Based on the target geographical range, obtain the satellite image matching the target geographical range;

[0022] Based on the analysis of the satellite image, determine the environmental image matching the target position.

[0023] In one embodiment, the environmental image further includes a monitoring image; the obtaining the environmental image matching the target position based on the target position further includes:

[0024] Based on the received fire signal, determine the target control module corresponding to the fire signal;

[0025] Based on the target position, obtain the acquisition image of the target control module; the acquisition image includes the monitoring image corresponding to the target position.

[0026] In one embodiment, the determining the first fire state of the target position based on the environmental image includes:

[0027] Based on the comparison and analysis of the satellite image and the monitoring image, obtain the first fire state of the target position.

[0028] In one embodiment, obtaining the monitoring information of the first control module that matches the target location includes:

[0029] Based on a preset geographical image and the target location, determine a target geographical range;

[0030] Obtain the first control module information within the target geographical range;

[0031] Based on the first control module information, obtain the monitoring information of at least one of the first control modules.

[0032] In a second aspect, the present application provides a fire situation investigation device, and the device includes:

[0033] A position determination module, configured to determine the target position of the detection module corresponding to the fire signal based on the received fire signal;

[0034] An information acquisition module, configured to acquire an environmental image that matches the target position and the monitoring information of the first control module that matches the target position based on the target position; the environmental image includes satellite images;

[0035] A status determination module, configured to determine the operating status information of the detection module based on the environmental image and the monitoring information;

[0036] A result analysis module, configured to obtain a fire situation investigation result based on the operating status information of the detection module.

[0037] In a third aspect, the present application provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the above-mentioned method is implemented.

[0038] In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the above-mentioned method is implemented.

[0039] For the above-mentioned fire situation investigation method, device, computer device, and storage medium, by receiving a fire signal and determining the target position of the detection module, acquiring an environmental image and the monitoring information of the first control module that match the target position, and comprehensively analyzing the environmental image and the monitoring information to determine the operating status information of the detection module, it is possible to accurately determine whether the detection module has false alarms due to external factors; according to the operating status information of the detection module, a fire situation investigation result is generated, which can improve the emergency response speed and reduce the waste of resources caused by false alarms, thereby achieving the effect of reducing the labor cost of troubleshooting and improving the troubleshooting efficiency. Description of the Drawings

[0040] Figure 1It is an application environment diagram of the fire detection method in an embodiment;

[0041] Figure 2 It is a schematic flowchart of the fire detection method in an embodiment;

[0042] Figure 3 It is a schematic flowchart of the fire detection method in another embodiment;

[0043] Figure 4 It is a structural block diagram of the fire detection device in an embodiment;

[0044] Figure 5 It is an internal structure diagram of a computer device in an embodiment. Detailed implementation manners

[0045] In order to make the objectives, technical solutions and advantages of the present application clearer and more understandable, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0046] The fire detection method provided by the embodiments of the present application can be applied to an application environment as shown in Figure 1 Among them, the terminal 102 communicates with each controller 104 deployed in the fire safety system through the network. The terminal 102 determines the target position of the detection module corresponding to the fire signal based on the received fire signal; based on the target position, obtains the environmental image matching the target position and the monitoring information of the first control module matching the target position; the environmental image includes satellite images; based on the environmental image and the monitoring information, determines the operating state information of the detection module; based on the operating state information of the detection module, obtains the fire detection result. Among them, the terminal 102 can be but is not limited to various personal computers, laptop computers, smart phones, tablet computers and Internet of Things devices.

[0047] In one embodiment, as shown in Figure 2 A fire detection method is provided. Taking the method applied to the terminal 102 in Figure 1 as an example, the method includes the following steps:

[0048] Step S100, based on the received fire signal, determine the target position of the detection module corresponding to the fire signal.

[0049] Among them, the fire signal can be an alarm signal triggered by a fire detector and transmitted to the central control system. The fire signal can include different fire abnormal situations according to the type of the detection module. For example, there are situations such as excessive smoke concentration, sharp temperature rise, and appearance of flames. Exemplarily, it can be obtained by installing fire detection devices (such as smoke detectors, temperature detectors, flame detectors, etc.) in buildings or areas. In order to determine the target location of the fire signal, the fire signal also includes the identification information and / or location information of the detection module, which is used to quickly determine the target location by analyzing the fire signal.

[0050] The detection module can be a fire detection device installed in a building or area. The fire detection device senses environmental changes through sensors and transmits data to the control system.

[0051] The target location refers to the specific geographical location or spatial coordinates where the fire signal occurs. In this embodiment, the target location can be the physical location where the detection module is located, which can be obtained through the preset location information of the detection module (such as GPS coordinates, coordinates on the building floor plan, etc.). Exemplarily, the target location can be a certain floor or a certain room in a certain building.

[0052] Receiving the fire signal can be achieved by the system receiving the fire signal sent by the detection module.

[0053] The technical operation of analyzing the signal source can be carried out by analyzing the identification information and / or location information in the fire signal, such as the device ID of the detection module, preset location information (such as GPS coordinates, coordinates on the building floor plan, etc.), etc., so as to determine which specific detection module the signal comes from, thereby achieving the technical effects of ensuring positioning accuracy and reducing misjudgment.

[0054] Step S200, based on the target location, obtain the environmental image matching the target location and the monitoring information of the first control module matching the target location. The environmental image includes satellite images.

[0055] Among them, the environmental image can be image data about the target location and its surrounding environment obtained from the outside, and can be obtained by calling image resources. Exemplarily, the environmental image at least includes satellite images. Further, the environmental image can also include aerial images taken by drones, real-time monitoring pictures taken by surveillance cameras, etc.

[0056] Satellite images are high-resolution images obtained through satellite remote sensing technology, which can cover large areas and provide environmental information from a macroscopic perspective. They can be obtained by calling the corresponding satellite images in the image database.

[0057] The first control module can be the control module to which the detection module that emits a fire signal belongs. The monitoring information of the first control module that matches the target location can be the feedback information collected from other detection modules under this control module, and is used to comprehensively judge the actual situation of the detection module that emits the fire.

[0058] The first control module can also be the control module to which other detection modules that can directly or indirectly observe the fire characteristics related to the target location belong. The number of first control modules can be multiple. Exemplarily, it is assumed that one control module and its multiple detection modules are respectively deployed in each building. When the detection module in Building A monitors a fire situation and the control module emits a fire signal, according to the target location information included in the fire signal, if the target location is within the monitoring range of the detection modules (such as external surveillance cameras, infrared sensors, etc.) in Building B, the first control module in Building B can also be regarded as the first control module that matches the target location.

[0059] Obtaining the monitoring information can be achieved by extracting data such as the status information and historical records of other detection modules near this location from the first control module, so as to achieve the technical effect of integrating multi-dimensional environmental descriptions and enhancing the accuracy of investigation.

[0060] By integrating the image data with the monitoring information to form a multi-dimensional environmental description, it is possible to achieve the technical effects of more comprehensively understanding the on-site situation of the fire occurrence, assisting in judging the authenticity of the fire, and improving the accuracy of investigation.

[0061] Step S300: Based on the environmental image and the monitoring information, determine the operating status information of the detection module.

[0062] Among them, the operating status information refers to the current working condition of the detection module, including but not limited to normal working, faulty, false alarm and other states, and can be obtained by comprehensively evaluating the operating status of the detection module by combining the image analysis results and the monitoring data analysis results.

[0063] The data analysis algorithm is an algorithm for processing and analyzing image and monitoring data. It can be a rule-based logical judgment, a machine learning model, etc., and is realized by deeply mining the monitoring information provided by the first control module to judge whether there are abnormal situations or gradually abnormal trends.

[0064] Step S400: Based on the operating status information of the detection module, obtain the fire investigation result.

[0065] Among them, the fire investigation result can be a result of judging whether the fire itself is real according to the operating status information. Exemplarily, it can include confirming the existence of the fire, excluding false alarms, etc.

[0066] Furthermore, the troubleshooting results can be promptly fed back to the fire department or relevant management personnel for further actions.

[0067] A fire situation troubleshooting method provided in this embodiment receives a fire signal, determines the target location of the detection module, obtains the environmental image matching the target location and the monitoring information of the first control module, and comprehensively analyzes the environmental image and the monitoring information to determine the operating status information of the detection module, thereby accurately determining whether the detection module gives a false alarm due to external factors; according to the operating status information of the detection module, a fire situation troubleshooting result is generated, which can improve the emergency response speed and reduce the waste of resources caused by false alarms, thus achieving the effects of reducing the labor cost of troubleshooting and improving the troubleshooting efficiency.

[0068] In one embodiment, determining the target location of the detection module corresponding to the received fire signal includes:

[0069] Extract information from the fire signal to obtain the first location information of the fire signal;

[0070] Based on the first location information and a preset geographical image, determine the second location information of the target control module corresponding to the fire signal;

[0071] Based on the second location information, determine the target location of the detection module corresponding to the fire signal.

[0072] Among them, the first location information can be the location information in the fire signal obtained by extracting or extracting information from the fire signal.

[0073] The preset geographical image can be a high-precision geographical information map pre-stored in the system, including building floor plans or other forms of map data. Exemplarily, the preset geographical image can include the internal structure diagram of a building, the distribution map of fire-fighting equipment, etc. Through the first location information, a query can be made in the preset geographical image to determine the control module to which the first location belongs, and this control module is the target control module.

[0074] In this embodiment, the second location information of the target control module can be determined by accessing the target control module, sending a request through communication, querying a local database, etc.

[0075] Based on the second location information, determining the target location of the detection module corresponding to the fire signal can be taking the second location information of the target control module as the target location, or sending a target location acquisition request to the target control module through the second location information to obtain the specific target location, such as floor, room number, equipment number, etc.

[0076] A fire detection method provided in this embodiment realizes more accurate positioning of the detection module by extracting detailed information from the fire signal and combining it with the preset geographical image. By extracting the key location information in the fire signal and locking the specific detection module and its physical location that triggers the fire signal, it not only improves the positioning accuracy, reduces misjudgment caused by position errors, but also enhances the reliability and robustness of the system, and further reduces the labor cost.

[0077] In one of the embodiments, determining the operating status information of the detection module based on the environmental image and the monitoring information includes:

[0078] Based on the environmental image, determining the first fire status of the target location;

[0079] Based on the monitoring information, determining the second fire status of the target location;

[0080] Based on the matching situation between the fire signal and the first fire status and the second fire status, determining the operating status information of the detection module.

[0081] Determining the first fire status of the target location based on the environmental image can be achieved through image preprocessing and image analysis.

[0082] Image preprocessing can be achieved through technical means such as denoising and enhancing contrast to improve the accuracy of subsequent analysis. Exemplarily, image preprocessing can include removing noise in the image, adjusting brightness and contrast, etc.

[0083] Image analysis can analyze the environmental image of the target location through computer vision technologies (such as convolutional neural networks, object detection algorithms, etc.) to identify whether there are signs of fire (such as smoke, flame, high-temperature areas, etc.).

[0084] Generating the first fire status can be generating the first fire status about the target location according to the image analysis result. For example, the first fire status can include categories such as "no fire", "suspected fire", "confirmed fire", etc., which are used to preliminarily screen out areas where there may be a fire.

[0085] The monitoring information can be extracting monitoring data related to the target location from the first control module, including but not limited to temperature, smoke concentration, flame sensor readings, etc., and real-time monitoring data of the target location can be obtained through the sensor network.

[0086] Analyzing the monitoring information, classification and prediction can be carried out by one or more of methods such as statistical analysis and machine learning models, so as to determine whether the monitoring data of the first control information matches the fire signal at the target location. Exemplarily, when a fire occurs on a certain floor, the smoke concentration detected on the floor above this floor may be higher than the monitoring data under normal conditions. By comprehensively analyzing the monitoring data of the first control module, the authenticity of the fire signal of the detection module can be comprehensively judged.

[0087] Generate a second fire state, which can be to generate a second fire state regarding the target location according to the analysis result of the monitoring data. Exemplarily, the second fire state is divided into categories such as "normal", "abnormal but fire not confirmed", "fire confirmed", etc., so as to verify the authenticity and severity of the fire.

[0088] Based on the matching situation between the fire signal and the first fire state and the second fire state, determine the operating state information of the detection module, which can be to perform matching analysis on the fire signal with the first fire state and the second fire state.

[0089] In one example, if the fire signal, the first fire state and the second fire state all indicate the existence of a fire, it is confirmed that the detection module is working properly and a fire has indeed occurred. If the fire signal is inconsistent with the first fire state or the second fire state, it may indicate that the detection module has a false alarm or a fault.

[0090] Generate the operating state information, which can be to finally determine the operating state information of the detection module, such as "working properly", "false alarm", "fault", etc. Further, the relevant analysis process and conclusions can be recorded for guiding subsequent emergency response measures.

[0091] Through cross-verification of multi-source data, the accuracy and reliability of fire judgment can be ensured, the false alarm rate can be reduced, and at the same time, it can be quickly identified whether the detection module has a false alarm or a fault due to external factors.

[0092] A fire detection method provided in this embodiment can realize a more accurate evaluation of the operating state of the detection module by analyzing environmental images and monitoring information and combining with fire signals for matching verification. Through cross-verification of multi-source data, the accuracy and reliability of fire judgment are ensured, the false alarm rate is reduced, and at the same time, it can be quickly identified whether the detection module has a false alarm or a fault due to external factors, which not only improves the intelligent level of fire detection, but also can significantly improve the accuracy and reliability of fire judgment.

[0093] In one of the embodiments, the obtaining of the environmental image matching the target location based on the target location includes:

[0094] Based on the preset geographical image and the target location, determine the target geographical range;

[0095] Based on the target geographical range, obtain satellite images that match the target geographical range;

[0096] Based on the analysis of the satellite images, determine environmental images that match the target location.

[0097] Among them, based on a preset geographical image and the target location, determining the target geographical range can be marking the target location on the preset geographical image and, with the target location as the center, determining the corresponding target geographical range. Exemplarily, determining the corresponding target geographical range can be expanding a preset distance range with the target location as the center to obtain the target geographical range. It can also be selecting a local geographical image in the preset geographical image according to the target location, performing image recognition processing on the local geographical image. For example, the building contour where the target location is located can be determined by methods such as contour recognition, so as to take the geographical range where the building contour is located or expand the geographical range by a preset distance to obtain the target geographical range.

[0098] Based on the target geographical range, obtaining satellite images that match the target geographical range can be using the target geographical range to call the satellite image library and request to obtain high-resolution satellite images covering the target geographical range.

[0099] Based on the analysis of the satellite images, determining environmental images that match the target location can be achieved through methods such as image preprocessing, feature extraction, and result analysis. For example,

[0100] Image preprocessing can be preprocessing the downloaded satellite images, such as denoising, enhancing contrast, cropping to the target geographical range, etc., to improve the accuracy of subsequent analysis. Feature extraction can be using computer vision techniques, such as edge detection, color segmentation, texture analysis, etc., to extract key features in the satellite images, such as buildings, roads, vegetation, etc. Combining the specific situation of the target location, analyze the environmental factors in the satellite images, such as whether there are construction activities, signs of natural disasters (such as fire traces), abnormal heat sources, etc., so as to obtain a satellite image that can reflect the actual situation of the target location. In this way, the satellite images can be analyzed in detail, and environmental information highly related to the target location can be extracted, further verifying the authenticity of the fire signal and reducing the possibility of false alarms.

[0101] A fire detection method provided in this embodiment can significantly improve the accuracy and reliability of environmental image acquisition and analysis by accurately defining the target geographical range that needs to be concerned, obtaining high-resolution satellite images, and extracting environmental information highly related to the target location, achieving the technical effects of improving the accuracy of verifying the authenticity of the fire signal and effectively identifying false alarms.

[0102] In one embodiment, the environmental image further includes a monitoring image; obtaining the environmental image matching the target position based on the target position further includes:

[0103] Based on the received fire signal, determine the target control module corresponding to the fire signal;

[0104] Based on the target position, obtain the acquisition image of the target control module; the acquisition image includes the monitoring image corresponding to the target position.

[0105] Among them, the fire signal can be emitted by the detection module or by the control module. The control module is used to control the detection module. Based on the received fire signal, determining the target control module corresponding to the fire signal can be to analyze the fire signal to determine the control module that emits the fire signal as the target control module. Based on the received fire signal, determine the target control module corresponding to the fire signal,

[0106] The acquisition image can be real-time or historical image data collected and stored by the target control module, including but not limited to videos taken by surveillance cameras, infrared thermal imaging, etc. The monitoring image can be image data used for monitoring and detecting fires, and can provide more detailed on-site situations, such as smoke concentration, flame shape, temperature distribution, etc.

[0107] A fire detection method provided in this embodiment, by determining the target control module corresponding to the fire signal based on the received fire signal; obtaining the acquisition image of the target control module based on the target position, including the monitoring image corresponding to the target position; and verifying the image matching degree and integrating multi-source images to generate a comprehensive image report, can achieve technical effects of higher accuracy, stronger reliability, and more comprehensive information support.

[0108] In one embodiment, determining the first fire condition of the target position based on the environmental image includes:

[0109] Perform comparative analysis based on the satellite image and the monitoring image to obtain the first fire condition of the target position.

[0110] Exemplarily, the comparative analysis can be implemented by steps such as preprocessing the image, feature extraction, and comparative analysis, where:

[0111] Preprocessing the image can be achieved by performing operations such as denoising, enhancing contrast, and cropping to the target geographical range on the satellite image and the monitoring image, in order to improve the accuracy of subsequent analysis, thereby achieving the technical effect of ensuring the image quality.

[0112] Feature extraction can be achieved by using computer vision techniques (such as edge detection, color segmentation, texture analysis, etc.) to extract key features in satellite images, such as buildings, roads, vegetation, etc.; Exemplarily, dynamic features in monitoring images, such as smoke concentration, flame morphology, temperature distribution, etc., can be extracted through convolutional neural networks (CNNs), object detection algorithms, etc., so as to achieve the technical effect of identifying key features in the images.

[0113] Comparative analysis can be realized by ensuring that the timestamps of satellite images and monitoring images are consistent or close for effective comparative analysis; spatially aligning satellite images and monitoring images to ensure that both cover the same geographical area; comparing the features in the two images to identify whether there are common abnormal situations, so as to achieve the technical effect of accurately judging the fire situation.

[0114] The first fire situation state can be the judgment result of the fire situation based on satellite images. Generating the first fire situation state can be to judge whether a fire has occurred at the target location according to the comparative analysis result. Generate the first fire situation state regarding the target location. Exemplarily,

[0115] Satellite images can be used to provide images when there is no fire. When the results of satellite images and monitoring images are consistent, it indicates that there may be no fire at the target location. On the contrary, when the images of monitoring images are inconsistent with satellite images, it indicates that changes have occurred at the target location, and it may be a fire.

[0116] Satellite images can also be real-time satellite images. Correspondingly, when identifying satellite images and monitoring images based on computer recognition technology, if fire signs are found in both, it indicates that there is a fire in the target area and can be confirmed as having a fire. When only one of them is found to have a fire, the possibility of having a fire is reduced and further verification is needed. If there is no fire in both, it indicates no fire.

[0117] A fire detection method provided in this embodiment can achieve the technical effects of significantly improving the accuracy and reliability of fire judgment, reducing the possibility of false alarms, providing comprehensive information support, and optimizing resource utilization by conducting comparative analysis on satellite images and monitoring images and generating the first fire situation state of the target location.

[0118] In one of the embodiments, obtaining the monitoring information of the first control module matching the target location includes:

[0119] Based on the preset geographical image and the target location, determine the target geographical range;

[0120] Obtain the first control module information within the target geographical range;

[0121] Based on the first control module information, obtain the monitoring information of at least one of the first control modules.

[0122] The preset geographical image can be a pre-stored high-precision geographical information map, which will not be elaborated in this embodiment.

[0123] Determine the target geographical range, which can be centered on the target location, and in combination with the scale and resolution in the preset geographical image, determine a reasonable target geographical range. Exemplarily, the determination of the target geographical range can be determined by expanding based on a preset distance, or determined based on the image recognition result of the preset geographical image, or determined after expanding it.

[0124] Obtain the first control module information. It can be after marking the target geographical range in the preset geographical image, query the distribution of all first control modules within this range, so as to extract the relevant information of each first control module within the target geographical range, and obtain the first control module information. The first control module information can include the ID, location, list of detection modules managed, etc. of the control module.

[0125] The monitoring information can be various environmental parameters related to the fire event, including but not limited to temperature sensor readings, smoke concentration detection results, flame sensor status, and other environmental parameters (such as humidity, air flow, etc.). Based on the first control module information, obtaining the monitoring information of at least one of the first control modules can be according to the first control module information, connecting each first control module sequentially or concurrently, and by screening the time stamp and screening the target location, screening out the monitoring information related to the fire event and downloading it.

[0126] A fire detection method provided in this embodiment, by accurately delimiting the geographical range that needs to be concerned, obtaining the information of all relevant first control modules within the target geographical range, and obtaining the monitoring information highly related to the target location, not only improves the intelligent level of fire detection, but also significantly improves the accuracy and reliability of obtaining and analyzing the monitoring information, ensures the comprehensiveness and accuracy of fire judgment, and further improves the overall performance of the fire safety system.

[0127] To more clearly elaborate the technical solution of this application, this application also provides a detailed embodiment.

[0128] In one embodiment, as Figure 3 shown, a method for quickly troubleshooting the grounding fault of the automatic fire alarm line of a fire protection system is provided, including the following steps:

[0129] Step S1, install fire detectors in each area to be monitored in the building, lay alarm lines, and connect the detectors to the alarm controller;

[0130] Step S2, install a fire automatic alarm controller. The controller is used to receive signals from detectors and connect the controller to the control system;

[0131] Step S3, the control system sets up a data receiving module, an information collection module, a data comparison module, and an analysis module;

[0132] Step S4, the data receiving module is used to receive the alarm signals from the controller and locate the controller that issues the alarm signal;

[0133] Step S5, the information collection module collects the installation information of the controller, and the data comparison module is used to compare the status of the controllers near the location where the alarm signal is issued;

[0134] Step S6, the analysis module is used to analyze whether the line is leaking electricity and find out the leaking line.

[0135] Specifically, the areas to be monitored in Step S1 can include corridors, rooms, electrical equipment rooms, parking lots, and stairwells. The fire detectors in Step S1 are one or more of a photoelectric sensor, a thermal sensor, an ionization smoke sensor, a gas sensor, a thermal optical sensor, and an ionization chamber sensor. Due to the wide range of monitored areas including various places such as corridors, rooms, electrical equipment rooms, parking lots, and stairwells, and the diverse types of fire detectors, it can cover different areas and various fire types, greatly improving the applicability and monitoring range of the system.

[0136] Laying the alarm line can include the following steps:

[0137] Step S11, determine the positions of the detectors, the positions of the alarm controllers, the line routes, and the line connection methods;

[0138] Step S12, select a wired alarm line as the alarm line and use a cable to connect the detector and the alarm controller;

[0139] Step S13, connect the fire detectors installed in each monitored area to the alarm controller;

[0140] Step S14, after the laying is completed, conduct line testing and debugging work, simulate a fire scenario or manually trigger the detector to verify the normal operation of the alarm system and the accuracy of signal transmission;

[0141] Step S15, after the line laying is completed, identify and record the line. The identification includes information such as the line number, the position of the connection point, and the line route, and the identification is sent to the information collection module of the control system.

[0142] Select a wired alarm line for connection. Use a cable to connect the detector and the alarm controller. Compared with the wireless connection method, it is more stable and reliable, less vulnerable to external interference, ensuring the stability of the alarm system. Connect the fire detectors installed in each monitoring area to the alarm controller, and identify and record the lines, making the management of the entire system more convenient and efficient, and enabling maintenance personnel to quickly locate the position and connection status of each component.

[0143] Installing a fire automatic alarm controller may further include the following steps:

[0144] Step S21, the controller is used to receive signals from the detector, process alarm information, trigger an alarm, and communicate with the control system;

[0145] Step S22, install the fire automatic alarm controller in the fire control room or a dedicated fire equipment room in the building;

[0146] Step S23, connect the fire detectors installed in Step S1 to the controller using a cable;

[0147] Step S24, connect the fire automatic alarm controller to the control system, and select the interface docking for the connection method;

[0148] Step S25, simulate a fire scenario or manually trigger the detector to verify that the controller can receive signals normally, process alarm information, and trigger the corresponding alarm.

[0149] The controller has the functions of receiving signals from the detector, processing alarm information, triggering an alarm, and communicating with the control system, and can achieve comprehensive control and management of the fire alarm system. Installing the fire automatic alarm controller in the fire control room or a dedicated fire equipment room in the building is conducive to centralized management and monitoring of the alarm system and improving the emergency handling efficiency.

[0150] The data receiving module is also used to receive the monitoring system and the alarm system of the building.

[0151] The steps for the data receiving module to receive signals also include the following:

[0152] Step S31, select a communication method according to the communication methods supported by the controller and the data receiving module. The communication methods include wired interfaces such as RS-232, RS-485, wireless interfaces such as Wi-Fi or Bluetooth, and network interfaces such as TCP / IP;

[0153] Step S32, configure the corresponding communication parameters according to the selected communication method, including baud rate, data bits, parity bit, and stop bit, to ensure normal communication;

[0154] Step S33, configure the data receiving module to correctly parse the data sent by the controller, including the start identifier, length field, data field, and check field of the data frame, ensuring that the data format matches the output format of the controller;

[0155] Step S34, the data receiving module receives the alarm signal sent by the controller through a pre-configured communication protocol or interface;

[0156] The received alarm signal includes identifying the alarm type, determining the alarm location, and confirming the alarm level content.

[0157] According to the communication methods supported by the controller and the data receiving module, select the communication method, including wired interfaces such as RS-232, RS-485, wireless interfaces such as Wi-Fi or Bluetooth, and network interfaces such as TCP / IP, which can adapt to different occasions and requirements, thereby improving the flexibility and customizability of the system. Configuring the data receiving module to correctly parse the data sent by the controller, including the start identifier, length field, data field, and check field of the data frame, can ensure that the data format matches the output format of the controller, avoiding data parsing errors and resulting false alarms.

[0158] The positioning operation includes the following steps:

[0159] Step S41, when installing the controller, assign a unique location identifier or address to each controller. The address includes the number of the physical location, floor number, and room number information, ensuring that each controller has a clear location identifier;

[0160] Step S42, when the controller sends an alarm signal, include its location information in the signal, which is achieved through the data field or coding method. The data receiving module needs to parse this information to determine the source location of the alarm signal;

[0161] Step S43, after the data receiving module receives the alarm signal, parse the location information therein, and match the parsed location information with the pre-established map to determine which controller the alarm signal comes from;

[0162] Step S44, after determining the controller location, the system determines the accuracy by comparing the signal strength and using the cross-validation method of multiple data points;

[0163] Step S45, after determining the location of the controller, the system displays the corresponding location information on the monitoring interface or display screen.

[0164] When installing the controller, assign a unique location identifier or address to each controller, including the number of the physical location, floor number, and room number information, to ensure that each controller has a clear location identifier, which facilitates the system to determine the source of the alarm signal through the location information. When the controller issues an alarm signal, it includes its location information in the signal, which is achieved through data fields or coding methods. The data receiving module needs to parse this information to determine the source location of the alarm signal, improving the accuracy and effectiveness of the location information. After determining the location of the controller, the system compares the signal strength and uses the cross-verification method of multiple data points to determine the accuracy, improving the accuracy and reliability of location determination.

[0165] The information collection module also includes collecting satellite images within the installation area of the automatic alarm controller.

[0166] The steps for the information collection module to collect satellite images may include the following:

[0167] Step S51, use satellite image acquisition technology to obtain satellite images around the installation area. The images include the external environment of the building, surrounding roads, and landscapes.

[0168] Step S52, analyze the obtained satellite images to determine the specific location and surrounding environment of the installation area.

[0169] Step S53, integrate the satellite images and their analysis results into the data receiving module or control system and associate them with the alarm signal.

[0170] Step S54, when an alarm event occurs, the operator can view the satellite images through the monitoring interface or display screen to obtain more intuitive environmental information.

[0171] Using satellite image acquisition technology can obtain satellite images around the installation area, including the external environment of the building, surrounding roads, and landscapes, and can provide satellite images with relatively high precision and resolution, enabling the details of the installation area and its surrounding environment to be presented as accurately as possible. Integrate the obtained satellite images and their analysis results into the data receiving module or control system and associate them with the alarm signal, associating the alarm signal with the environmental information, improving the processing efficiency and accuracy.

[0172] The analysis steps of the analysis module include:

[0173] Step S61, the controller receives the alarm signal and disconnection signal from the fire detector and transmits them to the data receiving module of the control system.

[0174] Step S62, after the control system receives the signal, it simultaneously performs positioning to determine the alarm location and starts the data comparison module.

[0175] Step S63: The data comparison module collects the building monitoring system screen and satellite screen of the data receiving module according to the positioning information, compares whether there is thick smoke or fire. Otherwise, it is determined as a fault, and the judgment result is sent to the analysis module;

[0176] Step S64: The analysis module obtains the final result based on the positioning information, monitoring system, and the result of the comparison module. If it is otherwise, it notifies the maintenance personnel and sends the positioning information.

[0177] A fire situation investigation method provided in this embodiment can achieve automatic detection and troubleshooting of faults in the fire automatic alarm system through the setting of the control system and the coordinated action of each module, thereby reducing the need for manual intervention, improving efficiency and accuracy. Through the fire detectors, alarm lines, and controllers installed in step one, and the data receiving module in step four, it can monitor the alarm signals of the fire detectors in real time and locate the detectors that emit alarm signals, thereby quickly determining the specific location of the fault. Through the data comparison module and analysis module in steps five and six, it can compare and analyze the status of the detectors based on the received signals and data to determine whether there is a grounding fault, thereby quickly determining the cause of the fault. Further, as mentioned in step nine, satellite pictures are collected and associated with the alarm signals. The operator can view the satellite pictures through the monitoring interface or display screen to obtain more intuitive environmental information, which helps to more accurately determine whether there is a grounding fault, achieving the effect of being able to quickly and automatically determine whether the detector has a grounding fault; by obtaining real-time satellite pictures through the information collection module and associating them with the alarm signals, the maintenance personnel can view the satellite pictures through the monitoring interface or display screen to obtain more intuitive environmental information to assist in judging the specific location and environmental conditions of the faulty equipment, which is beneficial to more accurately locating the fault source. This method can analyze the signals and data sent by the detectors and accurately determine whether there is a grounding fault, avoiding human misjudgment and unnecessary maintenance of normal equipment, achieving the effect that when the detector has a grounding fault, it is easier to locate the faulty equipment for maintenance.

[0178] It should be understood that although the steps in the flowcharts of the above-mentioned embodiments are shown in sequence according to the arrows, these steps do not necessarily need to be executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts of the above-mentioned embodiments may include multiple steps or multiple stages. These steps or stages do not necessarily need to be executed at the same moment, but can be executed at different moments. The execution order of these steps or stages does not necessarily need to be sequential, but can be executed alternately or in turn with at least a part of other steps or steps or stages in other steps.

[0179] Based on the same inventive concept, an embodiment of the present application further provides a fire detection device for implementing the fire detection method involved above. The solution provided by this device for solving problems is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the fire detection device provided below can refer to the limitations on the fire detection method in the above text, and will not be repeated here.

[0180] In one embodiment, as Figure 4 shown, a fire detection device is provided, and the device includes:

[0181] A position determination module 100, configured to determine the target position of the detection module corresponding to the fire signal based on the received fire signal;

[0182] An information acquisition module 200, configured to acquire an environmental image matching the target position and monitoring information of the first control module matching the target position based on the target position; the environmental image includes satellite images;

[0183] A status determination module 300, configured to determine the operating status information of the detection module based on the environmental image and the monitoring information;

[0184] A result analysis module 400, configured to obtain a fire detection result based on the operating status information of the detection module.

[0185] In one of the embodiments, the position determination module 100 is further configured to:

[0186] Extract information from the fire signal to obtain the first position information of the fire signal;

[0187] Based on the first position information and a preset geographical image, determine the second position information of the target control module corresponding to the fire signal;

[0188] Based on the second position information, determine the target position of the detection module corresponding to the fire signal.

[0189] In one of the embodiments, the status determination module 300 is further configured to:

[0190] Based on the environmental image, determine the first fire status of the target position;

[0191] Based on the monitoring information, determine the second fire status of the target position;

[0192] Based on the matching situation between the fire signal and the first fire status and the second fire status, determine the operating status information of the detection module.

[0193] In one embodiment, the information acquisition module 200 is further configured to:

[0194] Determine a target geographical range based on a preset geographical image and the target location;

[0195] Obtain satellite images matching the target geographical range based on the target geographical range;

[0196] Analyze based on the satellite images to determine environmental images matching the target location.

[0197] In one embodiment, the environmental images further include monitoring images; the information acquisition module 200 is further configured to:

[0198] Determine a target control module corresponding to the fire signal based on the received fire signal;

[0199] Obtain acquisition images of the target control module based on the target location; the acquisition images include monitoring images corresponding to the target location.

[0200] In one embodiment, the status determination module 300 is further configured to:

[0201] Perform a comparative analysis based on the satellite images and the monitoring images to obtain a first fire status of the target location.

[0202] In one embodiment, the information acquisition module 200 is further configured to:

[0203] Determine a target geographical range based on a preset geographical image and the target location;

[0204] Obtain first control module information within the target geographical range;

[0205] Obtain monitoring information of at least one of the first control modules based on the first control module information.

[0206] Each module in the above fire detection device can be implemented in whole or in part by software, hardware, and their combination. Each of the above modules can be embedded in the processor of the computer device in hardware form or be independent of it, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to each of the above modules.

[0207] In one embodiment, a computer device is provided. The computer device can be a terminal, and its internal structure diagram can be as Figure 5As shown in the figure. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a fire detection method. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or a button, a trackball, or a touchpad provided on the housing of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0208] Those skilled in the art can understand that Figure 5 the structure shown in the figure is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0209] In one embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, it implements the fire detection method of any of the above embodiments:

[0210] Based on the received fire signal, determine the target position of the detection module corresponding to the fire signal;

[0211] Based on the target position, obtain the environmental image matching the target position, and the monitoring information of the first control module matching the target position; the environmental image includes satellite images;

[0212] Based on the environmental image and the monitoring information, determine the operating status information of the detection module;

[0213] Based on the operating status information of the detection module, obtain the fire detection result.

[0214] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, it implements the fire detection method of any of the above embodiments:

[0215] Based on the received fire signal, determine the target position of the detection module corresponding to the fire signal;

[0216] Based on the target location, obtain an environmental image that matches the target location and monitoring information of a first control module that matches the target location; the environmental image includes satellite images;

[0217] Based on the environmental image and the monitoring information, determine the operating status information of the detection module;

[0218] Based on the operating status information of the detection module, obtain a fire detection result.

[0219] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data that have been authorized by the user or fully authorized by all parties.

[0220] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memories. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in this application can be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., without limitation.

[0221] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0222] The above-described embodiments only represent several implementation manners of this application. The description is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of this application. It should be noted that for those of ordinary skill in the art, without departing from the concept of this application, several modifications and improvements can still be made, and these all belong to the protection scope of this application. Therefore, the protection scope of this application should be subject to the appended claims.

Claims

1. A fire detection method, characterized in that, The fire detection method includes: Based on the received fire signal, determining the target position of the detection module corresponding to the fire signal; Based on the target position, obtaining the environmental image matching the target position and the monitoring information of the first control module matching the target position; the environmental image includes satellite images; Based on the environmental image and the monitoring information, determining the operating status information of the detection module; Based on the operating status information of the detection module, obtaining the fire detection result.

2. The fire situation investigation method according to claim 1, characterized in that The determining the target position of the detection module corresponding to the fire signal based on the received fire signal includes: Extracting information from the fire signal to obtain the first position information of the fire signal; Based on the first position information and the preset geographical image, determining the second position information of the target control module corresponding to the fire signal; Based on the second position information, determining the target position of the detection module corresponding to the fire signal.

3. The fire situation investigation method according to claim 1, wherein, The determining the operating status information of the detection module based on the environmental image and the monitoring information includes: Based on the environmental image, determining the first fire status of the target position; Based on the monitoring information, determining the second fire status of the target position; Based on the matching situation between the fire signal and the first fire status and the second fire status, determining the operating status information of the detection module.

4. The fire situation investigation method according to claim 3, characterized in that The obtaining the environmental image matching the target position based on the target position includes: Based on the preset geographical image and the target position, determining the target geographical range; Based on the target geographical range, obtaining the satellite image matching the target geographical range; Based on the analysis of the satellite image, determining the environmental image matching the target position.

5. The fire situation investigation method according to claim 4, wherein The environmental image further includes monitoring images; the obtaining the environmental image matching the target position based on the target position further includes: Based on the received fire signal, determining the target control module corresponding to the fire signal; Based on the target position, obtaining the acquisition image of the target control module; the acquisition image includes the monitoring image corresponding to the target position.

6. The fire situation investigation method according to claim 5, characterized in that, The determining the first fire status of the target position based on the environmental image includes: Based on the comparison and analysis of the satellite image and the monitoring image, obtaining the first fire status of the target position.

7. The fire situation investigation method according to claim 1, characterized in that, Obtaining the monitoring information of the first control module matching the target position includes: Based on the preset geographical image and the target position, determining the target geographical range; Obtaining the first control module information within the target geographical range; Based on the first control module information, obtaining the monitoring information of at least one of the first control modules.

8. A fire detection device, characterized in that, The device includes: A position determination module, configured to determine the target position of the detection module corresponding to the fire signal based on the received fire signal; An information acquisition module, configured to obtain the environmental image matching the target position and the monitoring information of the first control module matching the target position based on the target position; the environmental image includes satellite images; A status determination module, configured to determine the operating status information of the detection module based on the environmental image and the monitoring information; A result analysis module, configured to obtain a fire detection result based on the operating status information of the detection module.

9. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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