Machine room fire-fighting method, device, equipment, storage medium and product

Abstract

The invention discloses a machine room fire fighting method, device and equipment, a storage medium and a product, and relates to the technical field of fire fighting, and the machine room fire fighting method comprises the steps that a monitoring image of a machine room area is acquired; all the monitoring images are sent to a large model, a fire recognition result output by the large model is received, and the large model carries out image recognition on each monitoring image, determines a specific ignition point and a fire scale and outputs the fire recognition result; and executing fire fighting measures in a machine room area corresponding to the monitoring image according to the fire identification result. According to the invention, the large model is adopted to carry out image recognition on each monitoring image, and when a fire occurs, the large model is adopted to carry out image recognition on the monitoring images, determine a specific ignition point and a fire scale, and execute fire-fighting measures in a corresponding machine room area, so that quick response after the fire is found is realized, and therefore, a fire-fighting task can be efficiently and quickly completed, and the fire-fighting efficiency is improved. And finally, the beneficial effect of effectively reducing fire loss is achieved.

Description

Technical Field

[0001] The present application relates to the field of fire protection technology, and in particular to computer room fire protection methods, devices, equipment, storage media and products. Background Art

[0002] In today's digital age, data centers are core facilities for information storage and processing, and their safety and reliability are of vital importance. Different from the fire control concept of conventional fire extinguishing systems, the fire fighting principle of data centers is fire extinguishing. For data center fires that are mainly electrical fires, the fires are usually small and develop slowly. If the fire is quickly extinguished in the early stage, it can avoid more serious losses caused by the fire.

[0003] In the current computer room fire protection technology, traditional smoke detectors and temperature detectors are used to monitor the environment of the data room. However, when facing an initial fire in the data room, the smoke detectors and temperature detectors react slowly and are unable to detect and locate the fire source in time, resulting in the fire not being extinguished quickly, causing a large area of ​​fire to spread, causing serious data paralysis and economic losses.

[0004] Therefore, how to promptly detect and resolve fires in data centers is an urgent problem that needs to be solved.

[0005] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0006] The main purpose of this application is to provide a computer room fire protection method, device, equipment, storage medium and product, aiming to solve the technical problem that fires in data centers cannot be discovered and resolved in a timely manner.

[0007] To achieve the above objectives, the present application proposes a computer room fire protection method, the method comprising:

[0008] Obtain surveillance images of the computer room area;

[0009] Sending all the monitoring images to the large model, and receiving the fire identification results output by the large model, wherein the large model performs image recognition on each monitoring image, determines the specific fire point and fire scale, and outputs the fire identification results;

[0010] According to the fire identification result, fire fighting measures are executed in the computer room area corresponding to the monitoring image.

[0011] In one embodiment, the step of executing fire-fighting measures in the computer room area corresponding to the monitoring image according to the fire identification result includes:

[0012] Analyze the fire identification results to obtain specific fire points and corresponding fire scale assessment values;

[0013] If the specific fire point is an area where electronic components are densely populated, corresponding electronic component fire extinguishing measures are executed according to the fire scale assessment value;

[0014] If the specific fire point is a common area, corresponding common fire extinguishing measures are performed according to the fire scale assessment value.

[0015] In one embodiment, if the specific fire point is an area where electronic components are densely populated, the step of executing corresponding electronic component fire extinguishing measures according to the fire scale assessment value includes:

[0016] If the specific fire point is an area with dense electronic components, the unit corresponding to the specific fire point and the adjacent units are powered off and isolated;

[0017] Adjust the preset injection pressure of the gas nozzle and the transport pressure in the gas transport pipeline;

[0018] According to the fire scale assessment value, the gas nozzle is controlled to spray a large flow of inert gas to the machine room area where the specific fire point is located, and to spray a small flow of inert gas to the adjacent units.

[0019] In one embodiment, if the specific fire point is a common area, the step of executing corresponding common fire extinguishing measures according to the fire scale assessment value includes:

[0020] If the specific fire point is an ordinary area, then according to the fire scale assessment value, the preset liquid spraying equipment is controlled to perform large-flow spraying to extinguish the fire in the area where the specific fire point is located, and to perform small-flow spraying to the adjacent unburned area.

[0021] In one embodiment, the step of sending the monitoring image to the large model and receiving the fire identification result output by the large model includes:

[0022] Obtain a planar distribution map of the computer room area, confirm the computer room area division of electronic component-intensive areas and ordinary areas and the corresponding monitoring image acquisition points;

[0023] The monitoring image, the machine room area and the corresponding monitoring image acquisition points are divided and sent to the large model, and each monitoring image is subjected to image recognition by the large model to determine the specific fire point;

[0024] Evaluate all image recognition results through the large model to determine the fire scale and obtain a fire scale assessment value;

[0025] The specific ignition point and fire scale assessment value are combined through the large model to output a fire identification result.

[0026] In one embodiment, after the step of sending the monitoring image to the large model and receiving the fire identification result output by the large model, the step further includes:

[0027] If a fire identification result is received, the particle measurement values ​​of the smoke sensors at each point in the room area are obtained;

[0028] If the particle measurement value of the area where the specific fire point is located output by the large model is higher than the particle measurement value of other areas, the fire identification result is verified to be passed, and fire alarm measures are executed and a preset personnel evacuation signal is sent.

[0029] In addition, to achieve the above purpose, the present application also proposes a computer room fire fighting device, the computer room fire fighting device comprising:

[0030] An acquisition module is used to acquire monitoring images of the computer room area;

[0031] An identification module, used to send all the monitoring images to the large model, and receive the fire identification results output by the large model, wherein the large model performs image recognition on each monitoring image, determines the specific fire point and fire scale, and outputs the fire identification results;

[0032] The fire fighting module is used to execute fire fighting measures in the computer room area corresponding to the monitoring image according to the fire identification result.

[0033] In addition, to achieve the above-mentioned purpose, the present application also proposes a computer room fire fighting equipment, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the computer room fire fighting method as described above.

[0034] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the computer room fire protection method described above are implemented.

[0035] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the computer room fire protection method described above are implemented.

[0036] One or more technical solutions proposed in this application have at least the following technical effects:

[0037] Compared with the related art, traditional smoke detectors and temperature detectors are used to monitor the environment of the data room. However, when facing an initial fire in the data room, the smoke detectors and temperature detectors react slowly and cannot detect and determine the location of the fire source in time, resulting in the fire not being quickly extinguished, thereby causing a large area of ​​fire spread, causing serious data paralysis and economic losses. Compared with the economic losses, the present application obtains monitoring images of the computer room area; sends all the monitoring images to the large model, receives the fire recognition results output by the large model, wherein the large model performs image recognition on each of the monitoring images, determines the specific fire point and fire scale, and outputs the fire recognition results; according to the fire recognition results, firefighting measures are executed in the computer room area corresponding to the monitoring image. It can be understood that the present application uses a large model to perform image recognition on each of the monitoring images. When a fire occurs, the large model performs image recognition on each of the monitoring images, determines the specific fire point and fire scale, and executes firefighting measures in the computer room area corresponding to the monitoring image, so as to achieve a rapid response after the fire is discovered, thereby achieving efficient and rapid completion of the firefighting task, and ultimately achieving the beneficial effect of effectively reducing fire losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0039] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0040] Figure 1 A flow chart of the first embodiment of the fire protection method for a computer room provided in this application;

[0041] Figure 2 This is a schematic diagram of the module structure of the computer room fire protection device of the embodiment of the present application;

[0042] Figure 3 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the computer room fire protection method in the embodiment of the present application.

[0043] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0044] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0045] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0046] The main solutions of the embodiments of this application are:

[0047] Obtain surveillance images of the computer room area;

[0048] Sending all the monitoring images to the large model, and receiving the fire identification results output by the large model, wherein the large model performs image recognition on each monitoring image, determines the specific fire point and fire scale, and outputs the fire identification results;

[0049] According to the fire identification result, fire fighting measures are executed in the computer room area corresponding to the monitoring image.

[0050] In this embodiment, the application takes the computer room fire protection device as the execution body. For the convenience of description, it is specifically described below as "device".

[0051] The existing technology uses traditional smoke detectors and temperature detectors to monitor the environment of the data room. However, when a fire occurs in the early stage of the data room, the smoke detectors and temperature detectors react slowly and cannot detect and locate the fire source in time, resulting in the fire not being extinguished quickly, causing a large area of ​​fire to spread, causing serious data paralysis and economic losses.

[0052] The present application provides a solution, which uses a large model to perform image recognition on each of the monitoring images. When a fire occurs, the large model is used to perform image recognition on each of the monitoring images to determine the specific fire point and fire scale, and fire fighting measures are implemented in the computer room area corresponding to the monitoring image to achieve a rapid response after the fire is discovered. By evaluating the different fire scales, the flow rate of fire sprinklers in different areas can be allocated according to the severity of the specific fire point, and a large flow rate of spraying can be used in serious fire areas, so as to achieve efficient and rapid completion of fire fighting tasks, and ultimately achieve the beneficial effect of effectively reducing fire losses.

[0053] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a computer room fire fighting equipment, etc. The following takes the computer room fire fighting equipment as an example to illustrate this embodiment and the following embodiments.

[0054] Based on this, the embodiment of the present application provides a computer room fire protection method, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the computer room fire protection method of the present application.

[0055] In this embodiment, the computer room fire protection method includes steps S10 to S30:

[0056] Step S10, obtaining a monitoring image of the computer room area;

[0057] It should be noted that the computer room area is the layout and functional division of the server room or data center, including but not limited to the following parts: the host area for placing the main server equipment, the storage area for the equipment area for data storage, and the office area for the staff. The monitoring image is a real-time image captured by the camera installed in the computer room area, which is used to monitor the conditions in the camera installation area.

[0058] It is understandable that by acquiring the surveillance images of the computer room area, surveillance images including the equipment storage area and the office area can be obtained, so that the subsequent large model can recognize the surveillance images.

[0059] Step S20, sending all the monitoring images to the large model, receiving the fire identification result output by the large model, wherein the large model performs image recognition on each monitoring image, determines the specific fire point and fire scale, and outputs the fire identification result;

[0060] It should be noted that the large model is a trained machine learning model that can process and analyze a large amount of surveillance image data and perform image recognition tasks. The large model can be locally trained or a networked large model.

[0061] In addition, it should be noted that the image recognition is a computer vision technology that identifies objects, scenes and other relevant information in an image by analyzing pixels and features in the image. The fire recognition result is the result obtained after the large model analyzes the monitoring image, including whether a fire is detected, the location of the specific fire point and the scale of the fire.

[0062] Exemplarily, the large model is a networked image recognition model, which receives all uploaded surveillance images and monitors fires in the computer room area. If black smoke or flames are found in the surveillance images, the fire scale of the computer room area corresponding to the surveillance images is estimated and the fire recognition results are output.

[0063] Exemplarily, the large model is a local fire image recognition model, which inputs a preset fire image sample, performs fire recognition on the fire image sample through a preset model to be trained, obtains a fire recognition training result, compares the fire recognition training result with the fire recognition label corresponding to the fire image sample, obtains a fire recognition difference value, and if the fire recognition difference value does not meet the preset recognition error range, modifies the influence function according to the fire recognition difference value, returns to the step of inputting the preset fire image sample until the fire recognition difference value meets the preset recognition error range, and obtains a trained fire image recognition model. Through the fire image recognition model, a monitoring image is input and a fire recognition result is output.

[0064] In a feasible implementation, step S20 may include:

[0065] Obtain a planar distribution map of the computer room area, confirm the computer room area division of electronic component-intensive areas and ordinary areas and the corresponding monitoring image acquisition points;

[0066] The monitoring image, the equipment room area and the corresponding monitoring image acquisition points are divided and sent to the large model, and each monitoring image is subjected to image recognition by the large model to determine the specific fire point;

[0067] Evaluate all image recognition results through the large model to determine the fire scale and obtain a fire scale assessment value;

[0068] The specific ignition point and fire scale assessment value are combined through the large model to output a fire identification result.

[0069] It should be noted that the plan distribution map is a two-dimensional graphic that shows the layout of a specific area and the location of objects, and is used to represent the distribution of electronic components or electronic equipment in the computer room. The monitoring image acquisition point refers to the location of the camera installed in the computer room, which is used to capture real-time image information inside the computer room.

[0070] Step S30: executing fire fighting measures in the computer room area corresponding to the monitoring image according to the fire identification result.

[0071] It should be noted that the fire-fighting measures include a series of actions such as activating the fire-fighting system, sounding a fire alarm, and notifying relevant personnel, aiming to quickly control and extinguish the fire source and ensure the safety of the computer room.

[0072] It is understandable that, based on the output results of the fire identification system, corresponding fire-fighting measures are immediately initiated for the computer room area where the fire is confirmed to have occurred, so as to achieve the purpose of timely extinguishing the fire and controlling the fire.

[0073] In a feasible implementation, step S30 may include:

[0074] Analyze the fire identification results to obtain specific fire points and corresponding fire scale assessment values;

[0075] If the specific fire point is an area where electronic components are densely populated, corresponding electronic component fire extinguishing measures are executed according to the fire scale assessment value;

[0076] If the specific fire point is a common area, corresponding common fire-fighting measures are performed according to the fire scale assessment value.

[0077] It should be noted that the fire identification result is the result obtained after the large model analyzes the monitoring image, including whether the fire is detected, the location of the specific fire point and the scale of the fire. The specific fire point refers to the specific location where the fire occurs, which can be a server unit, stairwell debris, etc., or a specific area, such as an area with dense electronic components or an ordinary area. The fire scale assessment value refers to the numerical value of the fire severity assessed by measuring and analyzing the smoke concentration, temperature, flame and other parameters at the fire scene, which is used to guide the adoption of corresponding fire extinguishing measures. The electronic component dense area refers to an area where a large number of electronic components are stored or operated. These areas are usually extremely sensitive to fire because electronic components are susceptible to high temperature and smoke, which may cause greater property losses and safety hazards. The ordinary area refers to areas where non-electronic components are dense, such as offices, corridors, warehouses, etc. The fire risk in these areas is relatively low, but timely and effective fire extinguishing measures are still required.

[0078] For example, by analyzing the fire identification results, the specific fire point and the corresponding fire scale assessment value can be determined. If the fire point is located in an area with dense electronic components, corresponding electronic component fire extinguishing measures should be taken according to the assessment value; if the fire point is located in an ordinary area, corresponding ordinary fire extinguishing measures should be taken according to the assessment value. This can more effectively respond to different types of fires and ensure safety.

[0079] In a feasible implementation manner, if the specific fire point is an area where electronic components are densely populated, the step of executing corresponding electronic component fire extinguishing measures according to the fire scale assessment value may include:

[0080] If the specific fire point is an area with dense electronic components, the unit corresponding to the specific fire point and the adjacent units are powered off and isolated;

[0081] Adjust the preset injection pressure of the gas nozzle and the transport pressure in the gas transport pipeline;

[0082] According to the fire scale assessment value, the gas nozzle is controlled to spray a large flow of inert gas to the machine room area where the specific fire point is located, and to spray a small flow of inert gas to the adjacent units.

[0083] It should be noted that the specific ignition point refers to the key location or starting point of the fire. The unit is a collection of equipment containing electronic components such as a server unit or a computing unit. The power-off isolation refers to cutting off the power supply to the relevant area or equipment in the event of a fire or other emergency to prevent the spread of fire or electric shock to personnel. The gas nozzle is a fire-fighting device used to spray fire-extinguishing gas, and the spraying pressure and flow rate can be adjusted as needed. The gas transport pipeline is a pipeline system connecting the gas nozzle and the gas storage device, which is used to transport the fire-extinguishing gas to the designated ignition point. The inert gas is a gas with stable chemical properties, which is commonly used in fire-fighting systems and can effectively suppress fires without damaging electronic equipment. The fire scale assessment value is a quantitative assessment of the severity and scope of the fire, which is used to guide fire-fighting strategies and resource allocation. The computer room area refers to the data center or computer room where servers are running, which contains a large number of electronic components and important information technology equipment.

[0084] It is understandable that when a fire occurs in an area with dense electronic components, the fire point and its adjacent units are firstly disconnected and isolated, and then the injection pressure of the gas nozzle and the transport pressure of the gas transport pipeline are adjusted. According to the fire scale assessment value, a large flow of inert gas is sprayed to extinguish the fire in the area where the fire point is located, and a small flow of inert gas is sprayed to the adjacent units to prevent the fire from spreading. Since a large flow of inert gas is used to expel oxygen, the fire source on the electronic equipment can be quickly extinguished.

[0085] In a feasible implementation manner, if the specific fire point is a common area, the step of executing corresponding common fire extinguishing measures according to the fire scale assessment value may include:

[0086] If the specific fire point is an ordinary area, then according to the fire scale assessment value, the preset liquid spraying equipment is controlled to perform large-flow spraying to extinguish the fire in the area where the specific fire point is located, and to perform small-flow spraying to the adjacent unburned area.

[0087] It should be noted that the liquid spray equipment is an automatic water sprinkler fire extinguishing system, which is composed of nozzles, pipes, water sources, etc. When a fire occurs, the nozzles will automatically open and spray water or other fire extinguishing liquids to achieve the purpose of extinguishing the fire. The large-flow sprinkler fire extinguishing refers to the use of a large amount of water or fire extinguishing liquid for spraying when the fire is large in scale, so as to quickly reduce the fire, control the fire source, and prevent the fire from spreading. The small-flow spray is relative to the large-flow spray. The small-flow spray uses less water or fire extinguishing liquid. It is mainly used to prevent the fire from spreading to unburned areas and to cool these areas for protection. At the same time, it also takes into account the economical use of water resources. The adjacent unburned area refers to the area adjacent to the fire point but not yet affected by the fire. There may be fire hazards or items that need to be protected.

[0088] It is understandable that when dealing with fires in ordinary areas, based on the fire scale assessment value, preset liquid spray equipment is used to implement high-flow spraying in the area where the specific fire point is located to quickly control the fire, and small-flow spraying is carried out on the surrounding unburned areas to prevent the fire from spreading.

[0089] This embodiment provides a computer room fire fighting method, which uses a large model to perform image recognition on each of the monitoring images. When a fire occurs, the large model is used to perform image recognition on each of the monitoring images to determine the specific fire point and fire scale, and fire fighting measures are implemented in the computer room area corresponding to the monitoring image to achieve a rapid response after the fire is discovered, thereby achieving efficient and rapid completion of fire fighting tasks, and ultimately achieving the beneficial effect of effectively reducing fire losses.

[0090] In a feasible implementation manner, after step S20, the method further includes: if a fire identification result is received, obtaining particle measurement values ​​of smoke sensors at various points in the machine room area;

[0091] If the particle measurement value of the area where the specific fire point is located output by the large model is higher than the particle measurement value of other areas, the fire identification result is verified to be passed, and fire alarm measures are executed and a preset personnel evacuation signal is sent.

[0092] It is understandable that due to errors in image recognition, the fire situation is verified by comparing the particle measurement values ​​collected by the smoke sensor in the fire area identified by the image, and the corresponding fire fighting measures are implemented after the verification is passed.

[0093] For example, in order to help understand the implementation process of the computer room fire protection method of this embodiment, a brief flow chart of the computer room fire protection method is provided, specifically:

[0094] In practical applications, the introduction of image recognition technology has greatly improved the fire safety level of computer rooms. In the past, the fire safety of computer rooms mainly relied on manual inspections and traditional fire alarm systems, which was not only inefficient but also prone to missed or false alarms. Since the introduction of image recognition technology, the accuracy of fire alarms in computer rooms has been significantly improved, and the fire response speed has also been greatly accelerated.

[0095] In a modern data center room, image recognition technology is widely used in the control and management of fire sprinkler systems. The data center is filled with various servers, switches and other key IT equipment in operation. In order to ensure the safe operation of these equipment, the room is equipped with a fire recognition system and a fire sprinkler system to achieve higher security protection.

[0096] Multiple high-definition cameras are installed on the ceiling of the computer room, which can monitor the daily activities of the computer room and identify abnormal conditions in the corresponding areas of the computer room in real time. Each camera is connected to a fire identification system with a built-in powerful image recognition algorithm that can quickly identify early signs of fire, such as smoke and flames.

[0097] Whenever the camera captures an image, it is immediately transmitted to the fire identification system for analysis. The fire identification system will carefully analyze each image to find possible fire hazards. If the algorithm detects an anomaly, an alarm will be immediately sounded and the fire sprinkler system will be automatically activated.

[0098] When the fire identification system confirms the existence of a fire, it will send a gas spray start signal or a liquid spray start signal to the fire sprinkler system according to the confirmed fire point. After receiving the start signal, the fire sprinkler system will quickly open the sprinkler head and start a large-flow spray to extinguish the fire at the confirmed fire point, while spraying small-flow sprays in adjacent areas to prevent the fire from spreading until the fire danger in the computer room is over.

[0099] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the fire protection method of the computer room of the present application. More simple transformations based on this technical concept are all within the protection scope of the present application.

[0100] This application also provides a machine room fire protection device, please refer to Figure 2 , the machine room fire protection device comprises:

[0101] An acquisition module 10 is used to acquire monitoring images of the computer room area;

[0102] The recognition module 20 is used to send all the monitoring images to the large model and receive the fire recognition results output by the large model, wherein the large model performs image recognition on each monitoring image, determines the specific fire point and fire scale, and outputs the fire recognition results;

[0103] The fire fighting module 30 is used to execute fire fighting measures in the computer room area corresponding to the monitoring image according to the fire identification result.

[0104] And / or, the fire fighting module 30 includes:

[0105] The first analysis module is used to analyze the fire identification result to obtain a specific fire point and a corresponding fire scale assessment value;

[0106] A first execution module, configured to execute corresponding electronic component fire extinguishing measures according to the fire scale assessment value if the specific fire point is an electronic component dense area;

[0107] The second execution module is used to execute corresponding common fire extinguishing measures according to the fire scale assessment value if the specific fire point is a common area.

[0108] And / or, the first execution module includes:

[0109] A first isolation module is used to disconnect and isolate the unit corresponding to the specific ignition point and adjacent units if the specific ignition point is an area with dense electronic components;

[0110] A first adjustment module, used to adjust the preset injection pressure of the gas nozzle and the transport pressure in the gas transport pipeline;

[0111] The first injection module is used to control the gas nozzle to spray a large flow of inert gas to the machine room area where the specific fire point is located, and to spray a small flow of inert gas to the adjacent unit according to the fire scale assessment value.

[0112] And / or, the second execution module includes:

[0113] The second spray module is used to control the preset liquid spray equipment to carry out large-flow spraying and fire extinguishing in the area where the specific fire point is located, and to carry out small-flow spraying in the adjacent unburned area according to the fire scale assessment value if the specific fire point is a common area.

[0114] And / or, the identification module 20 includes:

[0115] The first acquisition module is used to obtain the plane distribution map of the computer room area, confirm the computer room area division of the electronic component dense area and the ordinary area and the corresponding monitoring image acquisition points;

[0116] A first sending module is used to send the monitoring image, the computer room area and the corresponding monitoring image acquisition point division to the large model, and perform image recognition on each monitoring image through the large model to determine the specific fire point;

[0117] A first evaluation module is used to evaluate all image recognition results through the large model, determine the fire scale, and obtain a fire scale evaluation value;

[0118] The first output module is used to output the fire identification result by combining the specific fire point and the fire scale assessment value through the large model.

[0119] And / or, the machine room fire protection device includes:

[0120] The second acquisition module is used to obtain the particle measurement values ​​of the smoke sensors at each point in the computer room area if the fire identification result is received;

[0121] The third execution module is used to verify that the fire identification result is passed, execute fire alarm measures and send a preset personnel evacuation signal if the particle measurement value of the area where the specific fire point is located output by the large model is higher than the particle measurement value of other areas.

[0122] The computer room fire fighting device provided by the present application adopts the computer room fire fighting method in the above embodiment, which can solve the technical problem that the fire in the data room cannot be discovered and solved in time. Compared with the prior art, the beneficial effects of the computer room fire fighting device provided by the present application are the same as the beneficial effects of the computer room fire fighting method provided by the above embodiment, and other technical features in the computer room fire fighting device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0123] The present application provides a computer room fire fighting device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the computer room fire fighting method in the above-mentioned embodiment one.

[0124] Reference below Figure 3, which shows a schematic diagram of the structure of the computer room fire fighting equipment suitable for implementing the embodiment of the present application. The computer room fire fighting equipment in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, tablet computers, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PMPs (Portable Media Players), vehicle terminals (such as vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The computer room fire fighting equipment shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0125] like Figure 3 As shown, the fire fighting equipment in the computer room may include a processing device 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the fire fighting equipment in the computer room are also stored. The processing device 1001, ROM1002, and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the computer room fire fighting equipment to communicate with other equipment wirelessly or by wire to exchange data. Although the figure shows the computer room fire fighting equipment with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or have alternatively.

[0126] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0127] The computer room fire fighting equipment provided by the present application adopts the computer room fire fighting method in the above embodiment, which can solve the technical problem that the fire in the data room cannot be discovered and solved in time. Compared with the prior art, the beneficial effects of the computer room fire fighting equipment provided by the present application are the same as the beneficial effects of the computer room fire fighting method provided by the above embodiment, and other technical features in the computer room fire fighting equipment are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0128] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0129] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0130] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the computer room fire protection method in the above-mentioned embodiment.

[0131] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0132] The above-mentioned computer-readable storage medium may be included in the computer room fire-fighting equipment; or it may exist independently without being assembled into the computer room fire-fighting equipment.

[0133] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the computer room fire fighting equipment, the computer room fire fighting equipment: obtains monitoring images of the computer room area;

[0134] Sending all the monitoring images to the large model, and receiving the fire identification results output by the large model, wherein the large model performs image recognition on each monitoring image, determines the specific fire point and fire scale, and outputs the fire identification results;

[0135] According to the fire identification result, fire fighting measures are executed in the computer room area corresponding to the monitoring image.

[0136] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0137] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0138] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0139] The readable storage medium provided by the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned computer room fire fighting method, and can solve the technical problem that the fire in the data room cannot be discovered and solved in time. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as the beneficial effects of the computer room fire fighting method provided by the above-mentioned embodiment, and will not be repeated here.

[0140] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned computer room fire protection method when executed by a processor.

[0141] The computer program product provided by the present application can solve the technical problem that a fire in a data center cannot be discovered and solved in time. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as the beneficial effects of the fire fighting method for a data center provided by the above embodiment, and will not be elaborated here.

[0142] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for fire fighting in a machine room, characterized in that: The method includes: Obtain surveillance images of the computer room area; Sending all the monitoring images to the large model, and receiving the fire identification results output by the large model, wherein the large model performs image recognition on each monitoring image, determines the specific fire point and fire scale, and outputs the fire identification results; According to the fire identification result, fire fighting measures are executed in the computer room area corresponding to the monitoring image.

2. The method according to claim 1, characterized in that The step of executing fire-fighting measures in the computer room area corresponding to the monitoring image according to the fire identification result comprises: Analyze the fire identification results to obtain specific fire points and corresponding fire scale assessment values; If the specific fire point is an area where electronic components are densely populated, corresponding electronic component fire extinguishing measures are executed according to the fire scale assessment value; If the specific fire point is a common area, corresponding common fire-fighting measures are performed according to the fire scale assessment value.

3. The method according to claim 2, characterized in that If the specific fire point is an area where electronic components are densely populated, the step of executing corresponding electronic component fire extinguishing measures according to the fire scale assessment value includes: If the specific fire point is an area with dense electronic components, the unit corresponding to the specific fire point and the adjacent units are powered off and isolated; Adjust the preset injection pressure of the gas nozzle and the transport pressure in the gas transport pipeline; According to the fire scale assessment value, the gas nozzle is controlled to spray a large flow of inert gas to the machine room area where the specific fire point is located, and to spray a small flow of inert gas to the adjacent units.

4. The method according to claim 2, characterized in that If the specific fire point is a common area, the steps of executing corresponding common fire extinguishing measures according to the fire scale assessment value include: If the specific fire point is an ordinary area, then according to the fire scale assessment value, the preset liquid spraying equipment is controlled to perform large-flow spraying to extinguish the fire in the area where the specific fire point is located, and to perform small-flow spraying to the adjacent unburned area.

5. The method according to claim 1, characterized in that The step of sending the monitoring image to the large model and receiving the fire identification result output by the large model comprises: Obtain a planar distribution map of the computer room area, confirm the computer room area division of electronic component-intensive areas and ordinary areas and the corresponding monitoring image acquisition points; The monitoring image, the machine room area and the corresponding monitoring image acquisition points are divided and sent to the large model, and each monitoring image is subjected to image recognition by the large model to determine the specific fire point; Evaluate all image recognition results through the large model to determine the fire scale and obtain a fire scale assessment value; The specific ignition point and fire scale assessment value are combined through the large model to output a fire identification result.

6. The method according to claim 1, characterized in that After the step of sending the monitoring image to the large model and receiving the fire identification result output by the large model, the method further includes: If a fire identification result is received, the particle measurement values ​​of the smoke sensors at each point in the room area are obtained; If the particle measurement value of the area where the specific fire point is located output by the large model is higher than the particle measurement value of other areas, the fire identification result is verified to be passed, and fire alarm measures are executed and a preset personnel evacuation signal is sent.

7. A fire-fighting device for a machine room, characterized in that: The device comprises: An acquisition module is used to acquire monitoring images of the computer room area; An identification module, used to send all the monitoring images to the large model, and receive the fire identification results output by the large model, wherein the large model performs image recognition on each monitoring image, determines the specific fire point and fire scale, and outputs the fire identification results; The fire fighting module is used to execute fire fighting measures in the computer room area corresponding to the monitoring image according to the fire identification result.

8. A machine room fire fighting equipment, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the computer room fire protection method according to any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the computer room fire protection method according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the computer room fire protection method according to any one of claims 1 to 6 are implemented.

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