Safety early warning method and device for deflagration event and storage medium

Abstract

The invention provides a safety early warning method and device for a deflagration event and a storage medium. The method comprises the steps of obtaining storage information and real-time detection data of a plurality of warehouses; according to the storage information and the real-time detection data, determining at least one warehouse in which a combustion explosion event does not occur, and taking the at least one warehouse as a monitored warehouse; constructing a monitoring geofence by taking the monitored warehouse as a center and a preset detonation experience distance threshold value as a radius; determining at least one monitoring unmanned aerial vehicle from a plurality of monitoring unmanned aerial vehicles for monitoring the monitoring geo-fence in real time; receiving real-time image data and real-time environment data of at least one monitoring unmanned aerial vehicle; analyzing a target fire risk of the monitored warehouse according to the real-time image data and the real-time environment data; and if the target fire risk is a medium risk or a high risk, estimating an explosion damage radiation range according to the storage information, generating an emergency evacuation event, and sending emergency evacuation prompt information to a user.

Description

Technical Field

[0001] The present application relates to the field of intelligent disaster relief technology, and in particular to a safety warning method, device and storage medium for explosion events. Background Art

[0002] In firefighting and earthquake relief scenarios involving high-risk chemicals, chemical explosions are highly random. Ground rescue teams rashly enter the scene without being able to accurately predict secondary explosions of the explosive materials, which can easily cause them to be directly affected by the secondary danger. Furthermore, the current overall system solution for smart wearable devices lacks a complete identification and reminder mechanism for high-risk secondary dangers at the rescue site during such major emergencies.

[0003] How to quickly identify high-risk secondary emergency events and alert users in large warehouse scenarios is an urgent issue that needs to be addressed. Summary of the Invention

[0004] The embodiments of the present application provide a safety warning method, device, and storage medium for explosion-proof events, which can quickly identify high-risk secondary danger events and alert users in large warehouse scenarios.

[0005] In a first aspect, an embodiment of the present application provides a safety warning method for a deflagration event, which is applied to a smart wearable device, wherein the smart wearable device is in communication with a management center system server, a warehouse IoT real-time sensor, and multiple monitoring drones. The method includes:

[0006] Obtaining storage information of multiple warehouses in the fire scene and real-time detection data of the warehouse Internet of Things real-time sensors from the management center system server;

[0007] Determining at least one warehouse among the plurality of warehouses that has not experienced a combustion or explosion event based on the warehouse information and the real-time detection data, and generating a corresponding fire line early warning dynamic monitoring event for each of the at least one warehouse;

[0008] A monitoring geo-fence is constructed with the monitored warehouse corresponding to the fire warning dynamic monitoring event as the center and the preset detonation experience distance threshold as the radius. The monitoring geo-fence is an electronic fence implemented using geographic location information technology;

[0009] Sending the monitoring geo-fence to the multiple monitoring drones, and determining at least one monitoring drone from the multiple monitoring drones for real-time monitoring of the area within the monitoring geo-fence, wherein the monitoring range of the at least one monitoring drone is greater than or equal to the monitoring geo-fence;

[0010] receiving real-time image data and real-time environmental data from the at least one monitoring drone;

[0011] Analyzing a target fire risk of the fire within the monitored geographic fence spreading to the monitored warehouse based on the real-time image data and the real-time environmental data, wherein the target fire risk includes any one of the following: low risk, medium risk, and high risk;

[0012] If the target fire risk is medium or high, the explosion damage radiation range is estimated based on the storage information of the monitored warehouse, and an emergency evacuation event is generated, and an emergency evacuation prompt message is issued to users in the explosion damage radiation range.

[0013] In a second aspect, an embodiment of the present application provides a safety warning device for explosion events, which is applied to a smart wearable device. The smart wearable device is connected to a management center system server, a warehouse IoT real-time sensor, and multiple monitoring drones. The device includes an acquisition module, a first determination module, a construction module, a second determination module, a receiving module, an analysis module, and a generation module, wherein:

[0014] The acquisition module is used to obtain storage information of multiple warehouses in the fire scene and real-time detection data of the warehouse Internet of Things real-time sensors from the management center system server;

[0015] The first determining module is configured to determine, based on the storage information and the real-time detection data, at least one warehouse among the plurality of warehouses that has not experienced a combustion or explosion event, and generate a corresponding fire line early warning dynamic monitoring event for each of the at least one warehouses;

[0016] The construction module is used to construct a monitoring geo-fence with the monitored warehouse corresponding to the fire warning dynamic monitoring event as the center and the preset detonation experience distance threshold as the radius. The monitoring geo-fence is an electronic fence implemented using geographic location information technology;

[0017] The second determining module is configured to send the monitoring geo-fence to the multiple monitoring drones, and determine at least one monitoring drone from the multiple monitoring drones to monitor the area within the monitoring geo-fence in real time, and the monitoring range of the at least one monitoring drone is greater than or equal to the monitoring geo-fence;

[0018] The receiving module is configured to receive real-time image data and real-time environmental data from the at least one monitoring drone;

[0019] The analysis module is configured to analyze a target fire risk of the fire within the monitored geo-fence spreading to the monitored warehouse based on the real-time image data and the real-time environmental data, wherein the target fire risk includes any one of the following: low risk, medium risk, and high risk;

[0020] The generation module is used to estimate the explosion damage radiation range based on the storage information of the monitored warehouse if the target fire risk is medium risk or high risk, and generate an emergency evacuation event, and issue an emergency evacuation prompt message to users in the explosion damage radiation range.

[0021] In a third aspect, an embodiment of the present application provides an electronic device comprising a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the program comprises instructions for executing the steps of any method of the first aspect of the embodiment of the present application.

[0022] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the above-mentioned computer-readable storage medium stores a computer program for electronic data exchange, wherein the above-mentioned computer program enables a computer to execute part or all of the steps described in any method of the first aspect of the embodiment of the present application.

[0023] In a fifth aspect, embodiments of the present application provide a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, wherein the computer program is operable to cause a computer to execute some or all of the steps described in any method of the first aspect of the embodiments of the present application. The computer program product may be a software installation package.

[0024] By implementing the embodiments of the present application, the accuracy and success rate of identifying and detecting secondary explosion events in fire scenes are improved for large warehouse scenarios, thereby reducing the adverse consequences caused by sudden accidents or high-risk secondary dangers. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0026] Figure 1 This is a system architecture diagram of a smart wearable device provided in an embodiment of the present application;

[0027] Figure 2 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application;

[0028] Figure 3 This is a flow chart of a safety warning method for a deflagration event provided in an embodiment of the present application;

[0029] Figure 4This is a block diagram of the functional modules of a safety warning device for deflagration events provided in an embodiment of the present application. DETAILED DESCRIPTION

[0030] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0031] The terms "first," "second," and the like in the specification and claims of this application and the accompanying drawings are used to distinguish between different objects, not to describe a particular order. Furthermore, the terms "including," "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements but may optionally include steps or elements not listed, or may optionally include other steps or elements inherent to the process, method, product, or apparatus.

[0032] It should be understood that the term "and / or" in this document is merely a description of the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this document indicates that the associated objects are in an "or" relationship. The "plurality" appearing in the embodiments of this application refers to two or more.

[0033] In the embodiments of the present application, "at least one item" or similar expressions refers to any combination of these items, including any combination of single items or plural items, and refers to one or more, and multiple refers to two or more. For example, at least one item (item) of a, b, or c can represent the following seven situations: a, b, c, a and b, a and c, b and c, a, b, and c. Among them, each of a, b, and c can be an element or a set containing one or more elements.

[0034] The "connection" appearing in the embodiments of the present application refers to various connection methods such as direct connection or indirect connection to achieve communication between devices, and the embodiments of the present application do not impose any limitations on this.

[0035] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0036] In the firefighting and earthquake relief scenarios of high-risk chemicals, chemical explosions are highly random. Ground rescue teams rashly enter the scene without being able to accurately predict the secondary explosion of the explosive materials. This can easily cause the ground rescue team to be directly affected by the secondary danger, and may also cause damage or destruction to rescue equipment and tools, thereby reducing rescue efficiency. In the current overall system solution of smart wearable devices, there is no complete identification and reminder mechanism for high-risk secondary danger events at the rescue site in such major emergencies, and it is impossible to provide timely and effective safety warnings to rescue personnel.

[0037] To solve the above problems, the embodiments of the present application provide a safety warning method, device and storage medium for explosion events, which are applied to smart wearable devices. The smart wearable devices are communicatively connected with a management center system server, a warehouse Internet of Things real-time sensor and multiple monitoring drones, and can obtain storage information of multiple warehouses in the fire scene and real-time detection data of the warehouse Internet of Things real-time sensor from the management center system server; determine at least one warehouse among the multiple warehouses that has not yet experienced a combustion and explosion event based on the storage information and the real-time detection data, and generate a corresponding fire line warning dynamic monitoring event for the at least one warehouse; construct a monitoring geographic fence with the monitored warehouse corresponding to the fire line warning dynamic monitoring event as the center and a preset detonation experience distance threshold as the radius, wherein the monitoring geographic fence is an electronic fence implemented using geographic location information technology; send the monitoring geographic fence to the multiple monitoring drones, and obtain the monitoring geographic fence from the multiple monitoring drones. Determine at least one monitoring drone for real-time monitoring of the area within the monitoring geographic fence, and the monitoring range of the at least one monitoring drone is greater than or equal to the monitoring geographic fence; receive real-time image data and real-time environmental data from the at least one monitoring drone; analyze the target fire risk of the fire within the monitoring geographic fence spreading to the monitored warehouse based on the real-time image data and the real-time environmental data, and the target fire risk includes any one of the following: low risk, medium risk, and high risk; if the target fire risk is medium risk or high risk, estimate the explosion damage radiation range based on the storage information of the monitored warehouse, generate an emergency evacuation event, and send an emergency evacuation prompt message to users in the explosion damage radiation range, thereby improving the accuracy and success rate of identifying and detecting secondary deflagration events in the fire scene, allowing users to obtain early warning information in a timely manner and safely evacuate high-risk areas, reducing the adverse consequences caused by sudden accidents or high-risk secondary hazards.

[0038] The following combination Figure 1 A smart wearable device in an embodiment of the present application is described. Figure 1 This is a system architecture diagram of a smart wearable device provided in an embodiment of the present application. The smart wearable device 110 includes three major modules: a display module 111, an early warning module 112, and a navigation module 113. The smart wearable device 110 is communicatively connected with a management center system server 114, a warehouse Internet of Things real-time sensor 115, and multiple monitoring drones 116.

[0039] The display module 111 is used to display the danger information and warehouse information in real time.

[0040] In one possible embodiment, the display module 111 displays the current danger information, which includes but is not limited to the type of danger, the location of occurrence, the possible cause, and the predicted impact, and displays the location of the danger and the type of danger to which it belongs on the map to help users better deal with the danger. At the same time, the specific information of each warehouse is marked on the map, and the user can learn the possibility of a secondary danger occurring in the warehouse through the specific information of each warehouse. The warehouses that have not yet experienced a combustion or explosion incident are monitored, and the range of the monitoring geographic fence corresponding to the monitored warehouse is displayed to facilitate the user's subsequent safe evacuation. The rescue progress is displayed in real time to facilitate the user to understand the rescue situation in a timely manner. Once the rescue is completed, the danger zone can be evacuated immediately to prevent sudden accidents from causing adverse consequences.

[0041] The early warning module 112 is used to monitor and analyze various information and data, and to provide timely early warnings of possible risks and crises.

[0042] In one possible embodiment, the early warning module 112 monitors and analyzes various signals and data, including but not limited to sensor data, log information, and alarm signals. It also monitors real-time detection data from IoT sensors in warehouses at the fire scene, determines corresponding early warning rules and algorithms based on the warehouse's corresponding storage information, and then analyzes and compares the real-time detection data based on the early warning rules and algorithms to determine whether there is a potential threat. Once a potential threat is detected, the early warning module 112 can automatically trigger an alarm and send a notification to the user so that the user can take appropriate emergency measures in a timely manner. The early warning module 112 can also send the early warning information to the display module 111, which provides a visual interface and report to display abnormalities and risks to the user, helping them to better understand and analyze the current situation and make better decisions and countermeasures.

[0043] The navigation module 113 is used to plan an evacuation route in real time according to external changing factors.

[0044] In one possible embodiment, the navigation module 113 obtains basic map information of the fire scene, determines the user's location by using positioning technology, which includes but is not limited to GPS, Bluetooth, and wireless signals, and calculates and plans the shortest and safest evacuation route based on the basic map information and real-time monitoring information, avoiding fire sources, smoke and other dangerous areas, and then matches the user's location with the evacuation route to accurately guide the user out of the dangerous area of the geo-fenced area and to a safe place. During the navigation process, maps, markers and other information can be used to provide directional guidance to the user, instructing the user in which direction to move to leave the fire scene. The navigation module 113 provides specific navigation instructions to the user through sound, vibration, display, etc., such as "turn right", "there is an obstacle ahead, please detour", etc., to help the user better follow the evacuation route. At the same time, the navigation module 113 will timely push information such as fire conditions and emergency notifications to remind the user to avoid dangerous areas and take appropriate response measures.

[0045] Among them, the smart wearable device 110 is communicated with the management center system server 114, the warehouse Internet of Things real-time sensor 115 and multiple monitoring drones 116. The smart wearable device 110 includes but is not limited to individual smart watches. The smart wearable device 110 can obtain the storage information of multiple warehouses in the fire scene through the management center system server 114. The storage information includes but is not limited to the warehouse's item list, storage capacity, and storage method, and obtain the real-time detection data of the warehouse Internet of Things real-time sensor 115. The real-time detection data includes but is not limited to the warehouse's temperature, humidity, light and other environmental parameters, so that users can understand the warehouse situation in a timely manner. Multiple monitoring drones 116 transmit real-time image data, real-time environmental data and other perception data to the smart wearable device 110 to assist users in long-distance monitoring. The smart wearable device 110 can also use wireless communication technology to command and control multiple monitoring drones 116, such as moving, hovering, automatic tracking, etc. When monitoring the geographic fence, it can hover at a fixed position for monitoring, which is convenient for stable monitoring of the situation within the geographic fence.

[0046] It can be seen that through the above system architecture, the accuracy of identifying and analyzing high-risk secondary hazards can be improved, and users can obtain early warning information in a timely manner and take corresponding emergency measures, thereby reducing the possibility of adverse consequences caused by sudden accidents and helping users evacuate safely through navigation.

[0047] The following combination Figure 2 The electronic device in the embodiment of the present application is described. Figure 2 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application is shown in FIG. Figure 2As shown, the electronic device 20 includes one or more processors 220, a memory 230, a communication interface 240 and one or more programs 231. The processor 220 is communicatively connected with the memory 230 and the communication interface 240 via an internal communication bus.

[0048] The processor 220 is mainly used for:

[0049] Obtain storage information of multiple warehouses in the fire scene and real-time detection data from warehouse IoT real-time sensors from the management center system server;

[0050] Determine at least one warehouse among multiple warehouses that has not experienced a combustion or explosion incident based on the warehouse information and real-time detection data, and generate a corresponding fire line warning dynamic monitoring event for the at least one warehouse;

[0051] A monitoring geo-fence is constructed with the monitored warehouse corresponding to the fire warning dynamic monitoring event as the center and the preset detonation experience distance threshold as the radius. The monitoring geo-fence is an electronic fence implemented using geographic location information technology.

[0052] Sending the monitoring geo-fence to multiple monitoring drones, and determining at least one monitoring drone from the multiple monitoring drones to monitor the area within the monitoring geo-fence in real time, wherein the monitoring range of the at least one monitoring drone is greater than or equal to the monitoring geo-fence;

[0053] receiving real-time image data and real-time environmental data from at least one monitoring drone;

[0054] Analyze and monitor the target fire risk of a fire within the geo-fence spreading to the monitored warehouse based on real-time image data and real-time environmental data. The target fire risk can be any of the following: low risk, medium risk, or high risk.

[0055] If the target fire risk is medium or high, the explosion damage radiation range is estimated based on the storage information of the monitored warehouse, and an emergency evacuation event is generated, and an emergency evacuation prompt is issued to users in the explosion damage radiation range.

[0056] The one or more programs 231 are stored in the memory 230 and configured to be executed by the processor 220 . The one or more programs 231 include instructions for executing any step in the above method embodiment.

[0057] The processor 220 may be, for example, a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute the various exemplary logic blocks, units, and circuits described in conjunction with the disclosure of this application. The processor 220 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like. The communication unit may be a communication interface 240, a transceiver, a transceiver circuit, and the like, and the storage unit may be a memory 230.

[0058] The memory 230 may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. The non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link DRAM (SLDRAM), and direct RAM bus RAM (DR RAM).

[0059] It is understood that the electronic device 20 may include more or fewer structural elements than those in the above structural block diagram, for example, including a power module, physical buttons, Wi-Fi module, speaker, Bluetooth module, sensor, display module, etc., which are not limited here. It is understood that the electronic device 20 may be equipped with Figure 1 The system architecture described.

[0060] After understanding the software and hardware architecture of this application, Figure 3 A safety warning method for a deflagration event in an embodiment of the present application is described. The safety warning method for a deflagration event is applied to a smart wearable device, which is connected to a management center system server, a warehouse IoT real-time sensor, and multiple monitoring drones. Figure 3 A flowchart of a safety warning method for a deflagration event provided in an embodiment of the present application specifically includes the following steps:

[0061] Step S301: Obtain storage information of multiple warehouses in the fire scene and real-time detection data of the warehouse Internet of Things real-time sensors from the management center system server.

[0062] Among them, the smart wearable device is communicated with the management center system server and the warehouse Internet of Things real-time sensor, that is, the smart wearable device obtains the storage information of multiple warehouses in the fire scene and the real-time detection data of the warehouse Internet of Things real-time sensor through the management center system server, and can also directly obtain the corresponding real-time detection data through the warehouse Internet of Things real-time sensor. Among them, the storage information includes but is not limited to the warehouse's item list, storage capacity, and storage method, and the real-time detection data includes but is not limited to the warehouse's temperature, humidity, light and other environmental parameters.

[0063] Step S302: determining at least one warehouse among the multiple warehouses that has not experienced a combustion or explosion event based on the warehouse information and the real-time detection data, and generating a corresponding fire line warning dynamic monitoring event for the at least one warehouse.

[0064] Among them, material information of the multiple warehouses is determined according to the storage information to obtain multiple material information; temperature data and humidity data in the real-time detection data are obtained; temperature values of the multiple warehouses are determined according to the temperature data to obtain multiple temperature values, and each warehouse corresponds to a temperature value; humidity values of the multiple warehouses are determined according to the humidity data to obtain multiple humidity values, and each warehouse corresponds to a humidity value; at least one warehouse among the multiple warehouses that has not yet experienced a combustion or explosion incident is determined according to the multiple material information, the multiple temperature values and the multiple humidity values.

[0065] In one possible embodiment, the temperature data and humidity data corresponding to the warehouse are obtained through the warehouse Internet of Things real-time sensor, and the temperature data and humidity data are sampled respectively to obtain multiple temperature sampling values and multiple humidity sampling values. The average value of the multiple temperature sampling values is taken as the temperature value of the warehouse, and the average value of the multiple humidity sampling values is taken as the humidity value of the warehouse.

[0066] Among them, determining at least one warehouse among the multiple warehouses in which no combustion or explosion incident has occurred based on the multiple material information, the multiple temperature values and the multiple humidity values includes: determining a reference temperature range and a reference humidity range corresponding to the first material information of a first warehouse, the first warehouse being any warehouse among the multiple warehouses, and the first warehouse also corresponding to a first temperature value and a first humidity value, the first temperature value being one of the multiple temperature values, and the first humidity value being one of the multiple humidity values; obtaining the ambient temperature and ambient humidity of the first warehouse; determining a temperature adjustment factor and a humidity adjustment factor according to the ambient temperature and the ambient humidity, respectively; adjusting the reference temperature range and the reference humidity range according to the temperature adjustment factor and the humidity adjustment factor, respectively, to obtain a target temperature range and a target humidity range; if the first temperature value is within the target temperature range and the first humidity value is within the target humidity range, determining that no combustion or explosion incident has occurred in the first warehouse.

[0067] In one possible embodiment, different materials have different requirements for temperature and humidity. If the temperature and / or humidity exceed the corresponding threshold range, the risk of explosion or combustion may increase. Some materials are sensitive to high temperatures and may burn or explode when exposed to high temperatures. Other materials may be sensitive to humidity and may react, corrode, or produce harmful gases when exposed to a humid environment. The corresponding reference temperature range and reference humidity range can be determined based on the warehouse material information. The ambient temperature and humidity will also affect the reference temperature range and reference humidity range. The temperature adjustment factor and humidity adjustment factor are determined based on the ambient temperature and humidity, respectively. The reference temperature range and reference humidity range are adjusted based on the temperature adjustment factor and humidity adjustment factor, respectively, to obtain the target temperature range and target humidity range.

[0068] Step S303 : constructing a monitoring geographic fence with the monitored warehouse corresponding to the fire warning dynamic monitoring event as the center and the preset detonation experience distance threshold as the radius.

[0069] Among them, the monitoring geographic fence is an electronic fence realized by using geographic location information technology.

[0070] In one possible embodiment, a reference safety distance is determined based on the material information of the monitored warehouse and the corresponding detonation experience, and then the reference safety distance is adjusted according to safety requirements to obtain a detonation experience distance threshold. Then, the center position of the monitoring geographic fence is determined based on the location information of the monitored warehouse, and the monitoring geographic fence is constructed with the detonation experience distance threshold as the radius.

[0071] Step S304: Send the monitoring geo-fence to the multiple monitoring drones, and determine at least one monitoring drone from the multiple monitoring drones to monitor the area within the monitoring geo-fence in real time, and the monitoring range of the at least one monitoring drone is greater than or equal to the monitoring geo-fence.

[0072] Step S305: Receive real-time image data and real-time environmental data of the at least one monitoring drone.

[0073] Step S306 , analyzing the target fire risk of the fire within the monitored geographic fence spreading to the monitored warehouse based on the real-time image data and the real-time environmental data.

[0074] The target fire risk includes any of the following: low risk, medium risk, and high risk.

[0075] Among them, warehouse image data and warehouse surrounding image data in the real-time image data are obtained; fire image recognition and analysis are performed on the warehouse image data and the warehouse surrounding image data by detecting flame and smoke characteristics to obtain a reference fire risk of the fire in the monitoring geographic fence spreading to the monitored warehouse; thermal imaging data in the real-time environmental data are obtained; a heat distribution image of the monitored warehouse and the surrounding area is determined based on the thermal imaging data; the reference fire risk is analyzed based on the heat distribution image to obtain the target fire risk.

[0076] In one possible embodiment, if the target fire risk is low risk, a safe evacuation event is generated based on the monitored geo-fence; in the safe evacuation event, the time the user stays in the geo-fence is obtained; a stay time threshold is determined based on the target fire risk; if the stay time is greater than the stay time threshold, a safe evacuation prompt message is issued.

[0077] Step S307: If the target fire risk is medium or high, the explosion damage radiation range is estimated based on the storage information of the monitored warehouse, and an emergency evacuation event is generated, and an emergency evacuation prompt message is issued to users in the explosion damage radiation range.

[0078] In one possible embodiment, basic map information of the fire scene is obtained; wind direction data information of the at least one monitoring drone and location information of the monitored warehouse are received; a basic evacuation route is determined based on the basic map information and the location information of the monitored warehouse; the basic evacuation route is optimized based on the wind direction data information to obtain a reference evacuation route; the reference evacuation route is adjusted based on the explosion damage radiation range to obtain a quick evacuation route; and the quick evacuation route is displayed in real time, and the quick evacuation route is used to guide the user to evacuate quickly.

[0079] In one possible embodiment, after the real-time display of the rapid evacuation route, fire image data and route image data can also be obtained from the real-time image data of the at least one monitoring drone; the fire source location, the development trend of the fire and the diffusion of the smoke are determined based on the fire image data; the rapid evacuation route is replanned based on the fire source location, the development trend of the fire and the diffusion of the smoke to obtain an emergency evacuation route; road obstacles and road conditions in the route image data are obtained; the evacuation feasibility of the emergency evacuation route is determined based on the road obstacles and the road conditions; the emergency evacuation route is adjusted in real time based on the evacuation feasibility to obtain a target evacuation route.

[0080] It can be seen that the above method can improve the accuracy of identifying and analyzing high-risk secondary hazards, and enable users to obtain early warning information in a timely manner and take corresponding emergency measures, thereby reducing the possibility of adverse consequences due to sudden accidents and helping users evacuate safely through navigation.

[0081] The above mainly introduces the solution of the embodiment of the present application from the perspective of the execution process of the method side. It is understandable that, in order to realize the above functions, the electronic device includes a hardware structure and / or software module corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiment provided herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in a hardware or computer software driven hardware manner depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0082] The embodiment of the present application can divide the functional units of the electronic device according to the above method example. For example, each functional unit can be divided according to each function, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. It should be noted that the division of units in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0083] In the case of dividing each functional module into corresponding functional modules, Figure 4 This is a functional module block diagram of a safety warning device for deflagration events provided in an embodiment of the present application. The safety warning device 400 for deflagration events is applied to a smart wearable device, which is communicated with a management center system server, a warehouse IoT real-time sensor, and multiple monitoring drones. The safety warning device 400 for deflagration events includes an acquisition module 410, a first determination module 420, a construction module 430, a second determination module 440, a receiving module 450, an analysis module 460, and a generation module 470, wherein:

[0084] An acquisition module 410 is configured to acquire storage information of multiple warehouses in the fire scene and real-time detection data of IoT real-time sensors of the warehouses from the management center system server;

[0085] A first determining module 420 is configured to determine, based on the storage information and the real-time detection data, at least one warehouse among the plurality of warehouses that has not experienced a combustion or explosion event, and generate a corresponding fire line early warning dynamic monitoring event for each of the at least one warehouse;

[0086] A construction module 430 is configured to construct a monitoring geo-fence with the monitored warehouse corresponding to the fire warning dynamic monitoring event as the center and the preset detonation experience distance threshold as the radius. The monitoring geo-fence is an electronic fence implemented using geographic location information technology;

[0087] A second determining module 440 is configured to send the monitoring geo-fence to the multiple monitoring drones, and determine at least one monitoring drone from the multiple monitoring drones to monitor the area within the monitoring geo-fence in real time, wherein the monitoring range of the at least one monitoring drone is greater than or equal to the monitoring geo-fence;

[0088] a receiving module 450 for receiving real-time image data and real-time environmental data from the at least one monitoring drone;

[0089] An analysis module 460 is configured to analyze a target fire risk of the fire within the monitored geo-fence spreading to the monitored warehouse based on the real-time image data and the real-time environmental data, wherein the target fire risk includes any one of the following: low risk, medium risk, and high risk;

[0090] Generation module 470 is used to estimate the explosion damage radiation range based on the storage information of the monitored warehouse if the target fire risk is medium risk or high risk, generate an emergency evacuation event, and issue an emergency evacuation prompt message to users in the explosion damage radiation range.

[0091] It can be seen that the accuracy of identifying and analyzing high-risk secondary hazards has been improved, allowing users to obtain early warning information in a timely manner and safely evacuate high-risk areas, reducing the possibility of adverse consequences due to sudden accidents.

[0092] It should be noted that the specific implementation of each operation can adopt the corresponding description of the method embodiment shown above. The safety warning device 400 for explosion events can be used to execute the above method embodiment of the present application, which will not be repeated here.

[0093] An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any method described in the above method embodiments, and the above computer includes an electronic device.

[0094] The present application also provides a computer program product comprising a non-transitory computer-readable storage medium storing a computer program, wherein the computer program is operable to cause a computer to perform some or all of the steps of any of the methods described in the above method embodiments. The computer program product may be a software installation package, and the computer may comprise an electronic device.

[0095] It should be noted that, for the above-mentioned various embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations. Those skilled in the art should know that this application is not limited by the order of the actions described, because some steps in the embodiments of the present application can be performed in other orders or simultaneously. In addition, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions, steps, modules or units involved are not necessarily required by the embodiments of the present application.

[0096] In the above embodiments, the embodiments of the present application have different focuses on the description of each embodiment. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0097] In summary, by implementing the embodiments of the present application, the accuracy of identifying and analyzing high-risk secondary hazards can be improved, and users can obtain early warning information in a timely manner and take corresponding emergency measures, thereby reducing the possibility of adverse consequences due to sudden accidents and helping users evacuate safely through navigation.

[0098] Those skilled in the art will appreciate that all or part of the process steps in the above-described method embodiments can be implemented by a computer program instructing the relevant hardware. The program can be stored in a computer-readable storage medium, and when executed, the program can include the process steps in the above-described method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

[0099] The steps of the method or algorithm described in the embodiments of the present application can be implemented in hardware or by a processor executing software instructions. The software instructions can be composed of corresponding software modules, which can be stored in RAM, flash memory, ROM, EPROM, electrically erasable programmable read-only memory (EEPROM), registers, hard disks, mobile hard disks, CD-ROMs, or any other form of storage medium well known in the art. An exemplary storage medium is coupled to the processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be an integral part of the processor. The processor and storage medium can be located in an ASIC. In addition, the ASIC can be located in a terminal device or a management device. Of course, the processor and storage medium can also be present in a terminal device or a management device as discrete components.

[0100] Those skilled in the art will appreciate that in one or more of the above examples, the functions described in the embodiments of the present application can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, they can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated therein. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a digital video disc (DVD)), or a semiconductor medium (eg, a solid state disk (SSD)).

[0101] The modules / units included in the devices and products described in the above embodiments may be software modules / units, hardware modules / units, or partly software modules / units and partly hardware modules / units. For example, for the devices and products applied to or integrated in the chip, the modules / units included therein may all be implemented in the form of hardware such as circuits, or at least part of the modules / units may be implemented in the form of software programs, which run on the processor integrated inside the chip, and the remaining (if any) modules / units may be implemented in the form of hardware such as circuits; for the devices and products applied to or integrated in the chip module, the modules / units included therein may all be implemented in the form of hardware such as circuits, and different modules / units may be located in the same component (such as chip, circuit module, etc.) or different components of the chip module, or at least part of the modules / units may be It is implemented in the form of a software program, which runs on the processor integrated inside the chip module, and the remaining (if any) modules / units can be implemented in the form of hardware such as circuits; for various devices and products applied to or integrated in the terminal equipment, the various modules / units contained therein can be implemented in the form of hardware such as circuits, and different modules / units can be located in the same component (for example, chip, circuit module, etc.) or different components in the terminal equipment, or, at least some modules / units can be implemented in the form of a software program, which runs on the processor integrated inside the terminal equipment, and the remaining (if any) modules / units can be implemented in the form of hardware such as circuits.

[0102] The specific implementation methods described above further illustrate the purpose, technical solutions and beneficial effects of the embodiments of the present application. It should be understood that the above description is only a specific implementation method of the embodiments of the present application and is not intended to limit the scope of protection of the embodiments of the present application. Any modifications, equivalent replacements, improvements, etc. made on the basis of the technical solutions of the embodiments of the present application should be included in the scope of protection of the embodiments of the present application.

Claims

1. A safety warning method for deflagration events, characterized in that: Applied to smart wearable devices, the smart wearable devices communicate with the management center system server, warehouse IoT real-time sensors and multiple monitoring drones, including: Obtaining storage information of multiple warehouses in the fire scene and real-time detection data of the warehouse Internet of Things real-time sensors from the management center system server; Determining at least one warehouse among the plurality of warehouses that has not experienced a combustion or explosion event based on the warehouse information and the real-time detection data, and generating a corresponding fire line early warning dynamic monitoring event for each of the at least one warehouse; A monitoring geo-fence is constructed with the monitored warehouse corresponding to the fire warning dynamic monitoring event as the center and the preset detonation experience distance threshold as the radius. The monitoring geo-fence is an electronic fence implemented using geographic location information technology; Sending the monitoring geo-fence to the multiple monitoring drones, and determining at least one monitoring drone from the multiple monitoring drones for real-time monitoring of the area within the monitoring geo-fence, wherein the monitoring range of the at least one monitoring drone is greater than or equal to the monitoring geo-fence; receiving real-time image data and real-time environmental data from the at least one monitoring drone; Analyzing a target fire risk of the fire within the monitored geographic fence spreading to the monitored warehouse based on the real-time image data and the real-time environmental data, wherein the target fire risk includes any one of the following: low risk, medium risk, and high risk; If the target fire risk is medium or high, the explosion damage radiation range is estimated based on the storage information of the monitored warehouse, and an emergency evacuation event is generated, and an emergency evacuation prompt message is issued to users in the explosion damage radiation range.

2. The method according to claim 1, wherein The determining, based on the storage information and the real-time detection data, at least one warehouse among the plurality of warehouses in which no combustion or explosion incident has occurred comprises: Determine the material information of the plurality of warehouses according to the warehousing information to obtain a plurality of material information; Acquiring temperature data and humidity data from the real-time detection data; determining temperature values of the plurality of warehouses based on the temperature data to obtain a plurality of temperature values, one temperature value corresponding to each warehouse; determining humidity values of the plurality of warehouses based on the humidity data to obtain a plurality of humidity values, one humidity value corresponding to each warehouse; At least one warehouse among the multiple warehouses in which no combustion or explosion incident has occurred is determined based on the multiple material information, the multiple temperature values, and the multiple humidity values.

3. The method according to claim 2, wherein The determining, based on the plurality of material information, the plurality of temperature values, and the plurality of humidity values, at least one warehouse among the plurality of warehouses in which no combustion or explosion incident has occurred comprises: Determine a reference temperature range and a reference humidity range corresponding to first material information of a first warehouse, where the first warehouse is any one of the multiple warehouses, and the first warehouse further corresponds to a first temperature value and a first humidity value, where the first temperature value is one of the multiple temperature values, and the first humidity value is one of the multiple humidity values; Obtaining the ambient temperature and humidity of the first warehouse; Determining a temperature adjustment factor and a humidity adjustment factor according to the ambient temperature and the ambient humidity, respectively; Adjusting the reference temperature range and the reference humidity range according to the temperature adjustment factor and the humidity adjustment factor respectively to obtain a target temperature range and a target humidity range; If the first temperature value is within the target temperature range and the first humidity value is within the target humidity range, it is determined that no combustion or explosion event has occurred in the first warehouse.

4. The method according to any one of claims 1 to 3, wherein The analyzing, based on the real-time image data and the real-time environmental data, the target fire risk of the fire within the monitored geographic fence spreading to the monitored warehouse includes: Acquire warehouse image data and warehouse surrounding image data from the real-time image data; Performing fire image recognition and analysis on the warehouse image data and the warehouse perimeter image data by detecting flame and smoke characteristics to obtain a reference fire risk of the fire within the monitored geographic fence spreading to the monitored warehouse; Acquiring thermal imaging data from the real-time environmental data; determining a heat distribution image of the monitored warehouse and surrounding areas based on the thermal imaging data; The reference fire risk is analyzed according to the heat distribution image to obtain the target fire risk.

5. The method according to any one of claims 1 to 3, wherein After analyzing the target fire risk of the fire within the monitored geo-fence spreading to the monitored warehouse based on the real-time image data and the real-time environmental data, the method further includes: If the target fire risk is low, generating a safety evacuation event based on the monitored geo-fence; In the safety evacuation event, obtaining the time the user stays within the geo-fence; determining a dwell time threshold based on the target fire risk; If the stay time is greater than the stay time threshold, a prompt message for safe evacuation is issued.

6. The method according to any one of claims 1 to 3, wherein: After sending an emergency evacuation prompt message to users in the explosion radiation range, the method further includes: Obtaining basic map information of the fire scene; receiving wind direction data information from the at least one monitoring drone and location information of the monitored warehouse; Determine a basic evacuation route based on the basic map information and the location information of the monitored warehouse; Optimizing the basic evacuation route according to the wind direction data information to obtain a reference evacuation route; Adjusting the reference evacuation route according to the explosion damage radiation range to obtain a rapid evacuation route; The quick evacuation route is displayed in real time, and the quick evacuation route is used to guide the user to evacuate quickly.

7. The method according to claim 6, wherein After displaying the rapid evacuation route in real time, the method further includes: Acquiring fire image data and route image data from the real-time image data of the at least one monitoring drone; Determining the location of the fire source, the development trend of the fire, and the spread of smoke based on the fire image data; Replanning the rapid evacuation route according to the location of the fire source, the development trend of the fire, and the diffusion of the smoke to obtain an emergency evacuation route; Acquiring road obstacles and road conditions in the route image data; determining the evacuation feasibility of the emergency evacuation route based on the road obstacles and the road conditions; The emergency evacuation route is adjusted in real time according to the evacuation feasibility to obtain a target evacuation route.

8. A safety warning device for explosion events, characterized in that: Applied to smart wearable devices, the smart wearable devices are connected to the management center system server, warehouse IoT real-time sensors and multiple monitoring drones. The device includes an acquisition module, a first determination module, a construction module, a second determination module, a receiving module, an analysis module and a generation module, wherein: The acquisition module is used to obtain storage information of multiple warehouses in the fire scene and real-time detection data of the warehouse Internet of Things real-time sensors from the management center system server; The first determining module is configured to determine, based on the storage information and the real-time detection data, at least one warehouse among the plurality of warehouses that has not experienced a combustion or explosion event, and generate a corresponding fire line early warning dynamic monitoring event for each of the at least one warehouses; The construction module is used to construct a monitoring geo-fence with the monitored warehouse corresponding to the fire warning dynamic monitoring event as the center and the preset detonation experience distance threshold as the radius. The monitoring geo-fence is an electronic fence implemented using geographic location information technology; The second determining module is configured to send the monitoring geo-fence to the multiple monitoring drones, and determine at least one monitoring drone from the multiple monitoring drones to monitor the area within the monitoring geo-fence in real time, and the monitoring range of the at least one monitoring drone is greater than or equal to the monitoring geo-fence; The receiving module is configured to receive real-time image data and real-time environmental data from the at least one monitoring drone; The analysis module is configured to analyze a target fire risk of the fire within the monitored geo-fence spreading to the monitored warehouse based on the real-time image data and the real-time environmental data, wherein the target fire risk includes any one of the following: low risk, medium risk, and high risk; The generation module is used to estimate the explosion damage radiation range based on the storage information of the monitored warehouse if the target fire risk is medium risk or high risk, and generate an emergency evacuation event, and issue an emergency evacuation prompt message to users in the explosion damage radiation range.

9. An electronic device, characterized in that: include: A processor, a memory, and one or more programs; the one or more programs are stored in the memory and are configured to be executed by the processor, the programs comprising instructions for executing the steps in the method according to any one of claims 1 to 7.

10. A computer storage medium, characterized in that The computer storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a processor, the processor is caused to perform the method according to any one of claims 1 to 7.

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