Fire risk monitoring method and device based on image analysis and computer equipment

Abstract

The embodiment of the invention discloses a fire behavior risk monitoring method based on image analysis, and the method comprises the steps: obtaining fire behavior monitoring image information collected by an image collector, and judging whether the fire behavior monitoring image information meets a preset minimum early warning display condition or not; if the fire monitoring picture information meets the lowest early warning display condition, smog type confirmation information obtained by rechecking and contrasting the fire monitoring picture information through the image analysis processor is obtained; if the identification result is that the corresponding urgency level is not met, the smoke type confirmation information is analyzed according to a preset closed space fireproof level rule, and a corresponding regulation and control instruction is generated according to a fire alarm notification rapid response strategy and sent to the smoke traceability locator and the fire alarm; therefore, a smoke generation source is positioned and an alarm is given. According to the method, different types of smog can be monitored and identified in real time through an image analysis technology, and graded early warning is automatically performed according to the type and concentration of the smog.

Description

Technical Field

[0001] This application relates to the field of intelligent security technology, and particularly to a fire risk monitoring method, device and computer equipment based on image analysis. Background Art

[0002] In today's society, with the continuous development of nuclear power technology and the increase in the construction of nuclear power plants, fire prevention and timely response in nuclear power plant buildings have become important issues in the field of nuclear safety. The existing smoke monitoring technologies mainly rely on traditional smoke detectors, temperature sensors and other devices. These technologies have certain limitations in fire warning in nuclear power plant buildings. Traditional sensors can often only detect changes in smoke or temperature, and cannot accurately identify the specific type of smoke and the specific situation of the fire. This leads to a high false alarm rate, and sometimes even has an unnecessary impact on the normal operation of the nuclear power plant. At the same time, the reliability of these devices in a complex plant environment is not high and they are easily interfered by external factors such as radioactive dust and humidity, thus affecting the accuracy of early warning. The existing smoke monitoring systems also have deficiencies in the emergency response in nuclear power plant buildings. They usually can only issue alarms, but cannot provide the specific location of the fire source and the severity of the fire situation, which brings great inconvenience to the rescue and emergency handling work of the nuclear power plant. In addition, these systems lack the functions of dynamic risk assessment and customized emergency instruction generation for the nuclear power plant building environment, making the emergency response measures often not precise and timely enough. These technical defects highlight the urgent need for a more efficient and intelligent monitoring and early warning system in the field of smoke monitoring and fire prevention in modern nuclear power plant buildings. Summary of the Invention

[0003] The embodiments of this application provide a fire risk monitoring method, device and computer equipment based on image analysis, aiming to solve the problem that the existing methods for dealing with fire risks in the field of safety and fire prevention are not timely and reasonable.

[0004] In a first aspect, an embodiment of the present application provides a fire risk monitoring method based on image analysis. The method is applied to a fire alarm monitoring and notification terminal and a fire image discrimination algorithm operation terminal. The fire alarm monitoring and notification terminal is communicatively connected to the fire image discrimination algorithm operation terminal, and the fire alarm monitoring and notification terminal is respectively communicatively connected to an image collector, an image analysis processor, a smoke traceability locator, and a fire alarm installed within a preset fire monitoring space range. The method includes: obtaining fire monitoring screen information collected by the image collector, and determining whether the fire monitoring screen information meets a preset minimum warning display condition; if the fire monitoring screen information meets the minimum warning display condition, obtaining smoke type confirmation information obtained by the image analysis processor through rechecking and comparing the fire monitoring screen information; generating a corresponding fire protection level adjustment instruction according to the smoke type confirmation information; identifying whether the fire protection level adjustment instruction conforms to the urgency level corresponding to the smoke concentration correlation evaluation information stored in the image analysis processor to obtain a corresponding identification result; if the identification result does not conform to the corresponding urgency level, parsing the smoke type confirmation information according to a preset closed space fire protection level rule to obtain a rapid fire alarm notification response strategy corresponding to the smoke type confirmation information; generating a corresponding control instruction according to the rapid fire alarm notification response strategy and sending it to the smoke traceability locator and the fire alarm to locate the smoke generation source and issue an alarm.

[0005] Second aspect, the embodiments of the present application further provide a fire risk monitoring device based on image analysis. The device includes a fire alarm monitoring and notification terminal and a fire image discrimination algorithm operation terminal. The fire alarm monitoring and notification terminal is respectively communicatively connected to an image receiver, an image analysis processor, a smoke traceability locator, and a fire alarm installed within the fire monitoring space range. The fire image discrimination algorithm operation terminal is communicatively connected to the fire alarm monitoring and notification terminal for interactive communication and algorithm operation support. The fire risk monitoring device based on image analysis applies the fire risk monitoring method based on image analysis as described above. The fire risk monitoring device based on image analysis includes various units configured within the fire alarm monitoring and notification terminal: a first image information acquisition unit, which is used to obtain the fire monitoring screen information collected by the image collector and determine whether the fire monitoring screen information meets the preset minimum warning display condition; a second image information acquisition unit, which is used to obtain the smoke type confirmation information obtained by the image analysis processor through rechecking and comparison processing of the fire monitoring screen information if the fire monitoring screen information meets the minimum warning display condition; an instruction generation unit, which is used to generate a corresponding fire prevention level adjustment instruction according to the smoke type confirmation information; an identification information acquisition unit, which is used to identify whether the fire prevention level adjustment instruction conforms to the urgency level corresponding to the smoke concentration correlation evaluation information stored in the image analysis processor to obtain a corresponding identification result; an adjustment strategy acquisition unit, which is used to analyze the smoke type confirmation information according to the preset closed space fire prevention level rule if the identification result does not conform to the corresponding urgency level to obtain a fire alarm notification rapid response strategy corresponding to the smoke type confirmation information; a control instruction sending unit, which is used to generate a corresponding control instruction according to the fire alarm notification rapid response strategy and send it to the smoke traceability locator and the fire alarm to locate the smoke generation source and give an alarm.

[0006] Third aspect, the embodiments of the present application further provide a computer device, which includes a memory and a processor. A computer program is stored on the memory, and when the processor executes the computer program, the above method is implemented.

[0007] An embodiment of the present application provides a fire risk monitoring method based on image analysis. The method is applied to a fire alarm monitoring and notification terminal and a fire image discrimination algorithm running terminal. The fire alarm monitoring and notification terminal is communicatively connected to the fire image discrimination algorithm running terminal. The fire alarm monitoring and notification terminal is respectively communicatively connected to an image collector, an image analysis processor, a smoke traceability locator, and a fire alarm installed within a preset fire monitoring space range. The method includes obtaining the fire monitoring screen information collected by the image collector and determining whether the fire monitoring screen information meets the preset minimum warning display condition; if the fire monitoring screen information meets the minimum warning display condition, obtaining the smoke type confirmation information obtained by the image analysis processor through review and comparison processing of the fire monitoring screen information; generating a corresponding fire prevention level adjustment instruction according to the smoke type confirmation information; identifying whether the fire prevention level adjustment instruction conforms to the urgency level corresponding to the smoke concentration correlation assessment information stored in the image analysis processor to obtain a corresponding identification result; if the identification result does not conform to the corresponding urgency level, parsing the smoke type confirmation information according to the preset closed space fire prevention level rule to obtain a fire alarm notification quick response strategy corresponding to the smoke type confirmation information; generating a corresponding control instruction according to the fire alarm notification quick response strategy and sending it to the smoke traceability locator and the fire alarm to locate the smoke generation source and issue an alarm. Through image analysis technology, the above method can monitor and identify different types of smoke in real time, and automatically perform hierarchical early warnings according to the type and concentration of the smoke. This intelligent identification and grading mechanism greatly improves the accuracy and timeliness of fire early warnings, reduces false alarms and missed alarms, and provides strong technical support for early fire prevention and control. This solution adopts a dynamic risk assessment mechanism. According to the smoke type and concentration monitored in real time, combined with the closed space fire prevention level rule, a fire alarm notification quick response strategy is generated in real time. The formulation and implementation of this strategy make the emergency response more scientific and efficient, and the most appropriate measures can be taken at different stages of the fire development. Through the smoke traceability locator, this solution can accurately locate the smoke generation source, providing key information for quickly extinguishing the fire and rescue operations. Combining the subdivision safety area alarm instruction and the safety personnel reminder instruction, the system can generate a fire notification instruction with strong pertinence and specific operation, ensuring the accuracy and timeliness of information transmission. Brief Description of the Drawings

[0008] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0009] Figure 1Schematic flowchart of the fire risk monitoring method based on image analysis provided by the embodiments of the present application;

[0010] Figure 2 Schematic sub - flowchart of the fire risk monitoring method based on image analysis provided by the embodiments of the present application;

[0011] Figure 3 Another schematic sub - flowchart of the fire risk monitoring method based on image analysis provided by the embodiments of the present application;

[0012] Figure 4 Schematic block diagram of the fire risk monitoring device based on image analysis provided by the embodiments of the present application;

[0013] Figure 5 Schematic block diagram of the computer device provided by the embodiments of the present application. Detailed implementation manners

[0014] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the protection scope of the present application.

[0015] It should be understood that when used in this specification and the appended claims, the terms "comprises" and "comprising" indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0016] It should also be understood that the terms used in this specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in this specification of the present application and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to include the plural forms.

[0017] It should be further understood that the term "and / or" used in this specification of the present application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0018] The embodiments of the present application provide a fire risk monitoring method, device, and computer device based on image analysis. The execution subject of the fire risk monitoring method based on image analysis can be the fire risk monitoring device provided by the embodiments of the present application. The fire risk monitoring method based on image analysis is applied to a fire alarm monitoring and notification terminal and a fire image discrimination algorithm operation terminal. The fire alarm monitoring and notification terminal and the fire image discrimination algorithm operation terminal are communicatively connected. The fire alarm monitoring and notification terminal is respectively communicatively connected to an image receiver, an image analysis processor, a smoke source tracing locator, and a fire alarm installed within the fire monitoring space range. The fire image discrimination algorithm operation terminal is interactively communicatively connected to the fire alarm monitoring and notification terminal and provides algorithm operation support.

[0019] The fire risk monitoring method based on image analysis is applied to Figure 5 the computer device 500 in

[0020] Figure 1 is a schematic flowchart of the fire risk monitoring method based on image analysis provided by the embodiments of the present application. The method includes the following steps S110 - S160.

[0021] S110. Obtain the fire monitoring screen information collected by the image collector, and determine whether the fire monitoring screen information meets the preset minimum warning display condition.

[0022] S120. If the fire monitoring screen information meets the minimum warning display condition, obtain the smoke type confirmation information obtained by the image analysis processor through review and comparison processing of the fire monitoring screen information.

[0023] S130. Generate a corresponding fire protection level adjustment instruction according to the smoke type confirmation information.

[0024] S140. Identify whether the fire protection level adjustment instruction conforms to the urgency level corresponding to the smoke concentration correlation evaluation information stored in the image analysis processor to obtain a corresponding identification result.

[0025] S150. If the identification result does not conform to the corresponding urgency level, analyze the smoke type confirmation information according to the preset fire protection level rules for enclosed spaces to obtain a fire alarm notification fast response strategy corresponding to the smoke type confirmation information.

[0026] S160. Generate a corresponding control instruction according to the fire alarm notification fast response strategy and send it to the smoke source tracing locator and the fire alarm to locate the smoke generation source and give an alarm.

[0027] Specifically, the design concept of the fire risk monitoring method based on image analysis is to monitor the fire through a series of ordered steps and take prompt actions after confirming the fire. First, the fire monitoring screen information is obtained through an image collector, and it is initially judged whether this information meets the preset minimum warning display conditions. This is a key step in the initial screening of the fire. If the monitoring screen information meets the minimum warning display conditions, then the image analysis processor is further used to perform a review and comparison process on this information to confirm the smoke type, and a corresponding fire prevention level adjustment instruction is generated according to the confirmed smoke type. This is to adjust the response measures according to the different types and severities of the fire. Then, it is identified whether the generated fire prevention level adjustment instruction conforms to the urgency level corresponding to the smoke concentration correlation evaluation information stored in the image analysis processor to ensure that the measures taken match the urgency of the fire. If the recognition result does not conform to the urgency level, the smoke type confirmation information is parsed according to the preset rules to obtain a rapid response strategy. Finally, a control instruction is generated according to the rapid response strategy and sent to the smoke traceability locator and the fire alarm to achieve the positioning of the smoke source and the alarm. This method can monitor the fire in real time and respond immediately. By using the image analysis processor to perform a review and comparison process on the fire, the accuracy of fire recognition is improved. The fire prevention level is dynamically adjusted according to the different types and severities of the fire, improving the adaptability of the response measures. Through the preset rapid response strategy, the fire source can be quickly located and an alarm can be issued, reducing the emergency response time. The traditional fire monitoring system has low accuracy in fire recognition and is prone to false alarms or missed alarms. It lacks the ability to dynamically adjust response measures according to the severity of the fire. The emergency response time is long, and it is impossible to quickly locate the fire source and take actions in time. This method improves the real-time and accuracy of fire monitoring, reduces the situation of false alarms and missed alarms. It realizes the dynamic monitoring and hierarchical response of the fire, making the emergency measures more scientific and effective. By quickly locating the fire source and giving an alarm in time, the emergency response time is significantly shortened, and the efficiency of fire prevention and rescue is improved. The image analysis technology is adopted, improving the technical level of fire monitoring and providing strong technical support for fire safety.

[0028] The fire situation monitoring screen information captured by the image collector, combined with the advanced algorithms of the image analysis processor, realizes high-precision identification of the fire situation and accurate detection of fire signs such as smoke and flame. Even under complex and changeable environmental conditions, a high recognition rate can be maintained. The fire protection level adjustment instruction in the solution can be dynamically generated according to the confirmed information of the smoke type, ensuring that the fire protection measures match the actual severity of the fire situation. The system can automatically adjust the warning and response levels according to different characteristics of the fire situation (such as smoke concentration, diffusion speed, etc.), improving the flexibility and adaptability of the warning system. By comparing with the pre-stored associated evaluation information of the smoke concentration, the urgency level identification of the fire protection level adjustment instruction is realized, which can quickly judge the urgency of the fire situation and take corresponding rapid response strategies accordingly, ensuring that rapid and effective actions can be taken in case of emergency. The solution designs a rapid response strategy for fire alarm notification, which can generate control instructions immediately after the fire situation is confirmed and quickly send them to the smoke traceability locator and the fire alarm. The core technical effect is reflected in significantly shortening the time from fire situation identification to alarm response, improving the efficiency of emergency handling, and winning valuable time for the early detection and rapid extinguishment of fires. Combined with the smoke traceability locator, the solution can accurately locate the source of the smoke. The core technical effect is that it can not only detect the fire situation but also point out the specific location of the fire source, which is crucial for firefighters to quickly locate the fire point and formulate rescue plans. The above-described design solution realizes the rapid and accurate monitoring and response of the fire situation through the application of a series of core technologies, greatly improving the ability of fire prevention and emergency handling, and providing a strong technical guarantee for protecting life and property safety.

[0029] In a more specific embodiment, as Figure 2 shown, when executing method S120, it specifically further includes executing steps S121 - S123.

[0030] S121. Judge whether any smoke concentration identification standard value in the fire situation monitoring screen information is less than the safety guarantee threshold set in the lowest warning display condition.

[0031] S122. If any smoke concentration identification standard value is less than the set safety guarantee threshold, determine that the fire situation monitoring screen information meets the immediate warning condition in the lowest warning display condition.

[0032] S123. If all smoke concentration identification standard values in the fire situation monitoring screen information are not less than the safety guarantee threshold, determine that the fire situation monitoring screen information meets the postponed alarm condition in the lowest warning display condition and generate a preliminary warning message.

[0033] Specifically, in a more specific embodiment, as Figure 2 shown, the detailed steps of executing method S120 are as follows:

[0034] S121. Determine whether any smoke concentration recognition standard value in the fire situation monitoring screen information is less than the safety guarantee threshold set in the lowest warning display condition: This step involves a preliminary analysis of the fire situation monitoring screen information captured by the image collector to extract the smoke concentration recognition standard value. The system will compare each recognition standard value with the preset safety guarantee threshold, which is a critical value set in advance according to fire safety standards and the actual monitoring environment. If any smoke concentration recognition standard value is lower than the safety guarantee threshold, the system will consider that there is a potential fire risk. S122. If any smoke concentration recognition standard value is less than the set safety guarantee threshold, determine that the fire situation monitoring screen information meets the immediate warning condition in the lowest warning display condition: When any smoke concentration recognition standard value is lower than the safety guarantee threshold, the system immediately triggers the immediate warning condition. This means that the system will take emergency measures, such as activating the fire alarm, notifying relevant personnel, and possibly starting the automatic fire extinguishing system or other emergency response procedures. S123. If all smoke concentration recognition standard values in the fire situation monitoring screen information are not less than the safety guarantee threshold, determine that the fire situation monitoring screen information meets the postponed alarm condition in the lowest warning display condition and generate a preliminary warning message: If all smoke concentration recognition standard values are higher than or equal to the safety guarantee threshold, the system will not immediately trigger a warning. Instead, it is determined that the fire situation monitoring screen information is at a relatively safe level and meets the postponed alarm condition. In this case, the system will generate a preliminary warning message, which may include recording the current state, monitoring the change trend of the smoke concentration, and preparing to quickly upgrade the warning status when necessary. Real-time monitoring and assessment of the fire risk ensure that a fire can be detected in a timely manner when it first appears. According to the different smoke concentrations, the system can intelligently decide whether an immediate alarm is needed, thus reducing false alarms and improving the accuracy of the alarm. By generating the preliminary warning message, the system provides a buffer period for the further monitoring and warning of potential fires, which helps to more effectively allocate emergency resources and reduce unnecessary panic.

[0035] In a more specific embodiment, as Figure 3 shown, when executing method S140, it further specifically includes executing steps S141 - S144.

[0036] S141. Determine whether the fire situation monitoring screen information meets the lowest safety guarantee condition in the urgency level corresponding to the smoke concentration - related emergency degree assessment information.

[0037] S142. If the fire situation monitoring screen information meets the lowest safety guarantee condition, determine whether the smoke type recognition determination information in the fire situation monitoring screen information meets the highest safety guarantee condition in the urgency level corresponding to the smoke concentration - related emergency degree assessment information.

[0038] S143. If the smoke type recognition and determination information meets the highest safety guarantee condition, obtain the recognition result corresponding to the urgency level of the smoke concentration-related emergency degree assessment information.

[0039] S144. If the fire monitoring screen information does not meet the lowest safety guarantee condition or the smoke type recognition and determination information does not meet the highest safety guarantee condition, obtain the recognition result corresponding to the urgency level of the smoke concentration-related emergency degree assessment information that does not meet the requirements.

[0040] Specifically, in a more specific embodiment, such as Figure 3As shown, the detailed steps of the execution method S140 are as follows: S141. Determine whether the fire monitoring screen information meets the lowest safety guarantee condition in the urgency level corresponding to the smoke concentration-related emergency degree assessment information: In this step, the system compares the fire monitoring screen information with the lowest safety guarantee condition in the preset urgency level. The lowest safety guarantee condition refers to the lowest standard at which the fire risk is considered acceptable under a certain smoke concentration. If the smoke concentration shown in the monitoring screen information is within the range of the lowest safety guarantee condition, proceed to the next judgment. S142. If the fire monitoring screen information meets the lowest safety guarantee condition, determine whether the smoke type identification and determination information in the fire monitoring screen information meets the highest safety guarantee condition in the urgency level corresponding to the smoke concentration-related emergency degree assessment information: Once the fire monitoring screen information passes the judgment of the lowest safety guarantee condition, the system will further check the smoke type identification and determination information. The highest safety guarantee condition means that at a certain smoke concentration, the fire risk is considered the highest and immediate action is required. If the smoke type identification and determination information indicates that the smoke type conforms to the highest safety guarantee condition, it indicates a relatively high fire risk. S143. If the smoke type identification and determination information meets the highest safety guarantee condition, obtain an identification result that conforms to the urgency level corresponding to the smoke concentration-related emergency degree assessment information: If the smoke type identification and determination information meets the highest safety guarantee condition, the system will conclude that the fire monitoring screen information meets the requirements of the current urgency level. This means that the system will take corresponding warning or emergency measures based on this identification result. S144. If the fire monitoring screen information does not meet the lowest safety guarantee condition or the smoke type identification and determination information does not meet the highest safety guarantee condition, obtain an identification result that does not conform to the urgency level corresponding to the smoke concentration-related emergency degree assessment information: If the monitoring screen information fails to pass the judgment of the lowest safety guarantee condition, or the smoke type identification and determination information fails to pass the judgment of the highest safety guarantee condition, the system will consider that the fire risk exceeds the acceptable range of the current urgency level. This will cause the system to generate an identification result that does not conform to the urgency level and may trigger a higher-level warning or emergency response. Conduct a multi-level and dynamic assessment of the fire risk to ensure the accuracy and timeliness of the warning and emergency response. By differentiating different smoke types and concentrations, the system can more accurately judge the urgency of the fire, thereby taking appropriate measures, improving the system's adaptive ability, and being able to adjust the warning and response strategies according to real-time monitoring data to adapt to changing environmental conditions.

[0041] In a more specific embodiment, the smoke type confirmation information is analyzed according to the preset fire prevention level rules for confined spaces to obtain a rapid fire alarm response strategy corresponding to the smoke type confirmation information, including classifying and identifying the air smoke type confirmation information in the smoke type confirmation information according to the air smoke type confirmation information in the fire prevention level rules for confined spaces to obtain multiple current smoke hazard evaluation information; combining and judging the two air smoke type confirmation information included in each current smoke hazard evaluation information to obtain the smoke hazard emergency level information of each current smoke hazard evaluation information; judging whether the smoke hazard emergency level information matches any analysis strategy in the fire prevention level rules for confined spaces; if the smoke hazard emergency level information matches any analysis strategy, the smoke hazard emergency level information and the smoke type confirmation information are analyzed according to the matching analysis strategy to obtain a rapid fire alarm response strategy including smoke traceability positioning parameters.

[0042] Further, the smoke hazard emergency level information and the smoke type confirmation information are analyzed according to the matching analysis strategy to obtain a rapid fire alarm response strategy including smoke traceability positioning parameters, including determining a detailed safety area alarm instruction corresponding to the smoke hazard emergency level information according to the safety area responsibility division rule in the analysis strategy; determining a safety personnel reminder instruction corresponding to the smoke hazard emergency level information according to the fire risk assessment rule in the analysis strategy; determining the most urgent area traceability positioning parameter corresponding to the smoke hazard emergency level information according to the safety personnel navigation instruction in the analysis strategy; combining the detailed safety area alarm instruction, the safety personnel reminder instruction and the most urgent area traceability positioning parameter to obtain a rapid fire alarm response strategy.

[0043] Specifically, in a more specific embodiment, the technical solution further refines how to analyze the smoke type confirmation information according to the preset fire prevention level rules for enclosed spaces and formulates corresponding rapid response strategies for fire alarm notifications. First, the system classifies and identifies the types of airborne smoke in the smoke type confirmation information according to the airborne smoke type confirmation information in the fire prevention level rules for enclosed spaces. Through this step, the system generates multiple current smoke hazard assessment information, which reflects the hazard levels of different types of smoke. Then, the system combines and judges the two airborne smoke type confirmation information contained in each current smoke hazard assessment information. The purpose of this combined judgment is to obtain the smoke hazard emergency level information of each current smoke hazard assessment information, that is, to evaluate the hazard and its emergency level of the smoke. Subsequently, the system determines whether the smoke hazard emergency level information matches any of the analysis strategies in the fire prevention level rules for enclosed spaces. If the smoke hazard emergency level information matches any of the analysis strategies, the system will perform the next analysis according to the matching analysis strategy. According to the matching analysis strategy, the system analyzes the smoke hazard emergency level information and the smoke type confirmation information to obtain a rapid response strategy for fire alarm notification containing smoke traceability positioning parameters. According to the safety area responsibility division rules in the analysis strategy, the subdivision safety area alarm instruction corresponding to the smoke hazard emergency level information is determined. According to the fire risk assessment rules in the analysis strategy, the safety personnel reminder instruction corresponding to the smoke hazard emergency level information is determined. Determine the traceability positioning parameters for the most urgent area: According to the safety personnel navigation instruction in the analysis strategy, the traceability positioning parameters for the most urgent area corresponding to the smoke hazard emergency level information are determined. Finally, the system combines the subdivision safety area alarm instruction, the safety personnel reminder instruction, and the traceability positioning parameters for the most urgent area to form the final rapid response strategy for fire alarm notification. Through this series of steps, the accurate identification and assessment of smoke types and hazards are achieved, providing an accurate information basis for rapid response. According to different smoke hazards and emergency levels, the system can generate customized emergency response strategies, improving the pertinence and effectiveness of emergency response. By subdividing the safety area alarm instruction and the safety personnel reminder instruction, it is ensured that in an emergency, relevant personnel can quickly take correct actions, thereby minimizing the damage caused by the fire to the greatest extent.

[0044] Further, corresponding control instructions are generated according to the rapid response strategy for fire alarm notification and sent to the smoke traceability locator and the fire alarm to conduct fire alarm notifications, including: generating a corresponding urgent fire alarm notification instruction according to the subdivision safety area alarm instruction and the safety personnel reminder instruction in the rapid response strategy for fire alarm notification and sending it to the smoke traceability locator; generating a corresponding normal fire alarm notification instruction according to the subdivision safety area alarm instruction and the traceability positioning parameters for the most urgent area in the rapid response strategy for fire alarm notification and sending it to the fire alarm.

[0045] Furthermore, according to the sub - safety - area alarm instruction and the most - urgent - area traceability and positioning parameters in the fire - alarm notification rapid - response strategy, generate corresponding normal - fire - situation notification instructions and send them to the fire - situation alarm device, including generating a smoke - hazard - source elimination method instruction according to the danger - reminder instruction associated with the smoke type in the sub - safety - area alarm instruction and the smoke - hazard - source elimination method information in the sub - safety - area alarm instruction, and sending it to the safety - personnel information monitoring area.

[0046] Specifically, in a further specific embodiment, the technical solution further details how to generate corresponding control instructions according to the fire - alarm notification rapid - response strategy and send these instructions to the smoke traceability and positioning device and the fire - situation alarm device for effective fire - situation notification. The system generates corresponding urgent - fire - situation notification instructions according to the sub - safety - area alarm instruction and the safety - personnel reminder instruction in the fire - alarm notification rapid - response strategy. These instructions are intended to quickly notify relevant personnel of the urgency of the fire and guide them to take necessary preventive or emergency measures. After being generated, the urgent - fire - situation notification instructions are sent to the smoke traceability and positioning device to quickly locate the fire source and initiate the emergency response procedure. At the same time, the system generates corresponding normal - fire - situation notification instructions according to the sub - safety - area alarm instruction and the most - urgent - area traceability and positioning parameters in the fire - alarm notification rapid - response strategy. These instructions are used to provide information to the fire - situation alarm device to maintain fire - situation monitoring and notification even in non - emergency situations. During the generation of the normal - fire - situation notification instructions, the system also generates a smoke - hazard - source elimination method instruction according to the danger - reminder instruction associated with the smoke type in the sub - safety - area alarm instruction and the smoke - hazard - source elimination method information. These instructions contain specific guidance information on how to eliminate or control the smoke hazard source. The generated smoke - hazard - source elimination method instruction is then sent to the safety - personnel information monitoring area to ensure that safety personnel can receive specific instructions on how to handle the fire. Rapidly and accurately convey the fire - situation information to ensure that relevant personnel can take appropriate actions in the first place. By distinguishing between urgent notification and normal notification, the system can more effectively manage fire - situation information, avoid unnecessary panic, and quickly respond in emergency situations. Provide specific elimination methods for smoke hazard sources, enhance the ability of safety personnel to handle fires, and thus improve the overall safety management level.

[0047] Through the image analysis technology, this solution can monitor and identify different types of smoke in real time, and automatically conduct hierarchical early warnings according to the type and concentration of the smoke. This intelligent identification and grading mechanism greatly improves the accuracy and timeliness of fire early warnings, reduces false alarms and missed alarms, and provides strong technical support for early fire prevention and control. This solution adopts a dynamic risk assessment mechanism. According to the smoke type and concentration monitored in real time, combined with the fire prevention level rules in enclosed spaces, it generates a rapid response strategy for fire alarm notifications in real time. The formulation and implementation of this strategy make the emergency response more scientific and efficient, and can take the most appropriate measures at different stages of the development of the fire. Through the smoke traceability locator, this solution can accurately locate the source of smoke generation, providing key information for quickly extinguishing the fire and rescue operations. Combining the detailed safety area alarm instructions and safety personnel reminder instructions, the system can generate fire notification instructions with strong pertinence and specific operations, ensuring the accuracy and timeliness of information transmission. According to the urgency of the fire and the smoke type, this solution generates customized emergency instructions, including instructions on methods for eliminating smoke hazard sources, providing clear action guidelines for safety personnel. The sending of such instructions is not limited to fire alarms, but also includes the safety personnel information monitoring area, ensuring that safety personnel can quickly take correct actions in complex environments. Through an integrated design, this solution integrates multiple links such as image acquisition, analysis and processing, risk assessment, and emergency response into one system, forming a highly intelligent fire monitoring platform. This integrated and intelligent design not only improves the overall performance of the system, but also reduces the operation complexity and maintenance costs, providing a powerful tool for fire safety management. In summary, this technical solution has a highly intelligent fire monitoring and emergency response mechanism, as well as precise positioning and customized instruction generation achieved through image analysis technology, greatly improving the efficiency and effectiveness of fire safety management.

[0048] Figure 4 It is a schematic block diagram of a fire risk monitoring device based on image analysis provided by an embodiment of the present application. As shown in the figure, corresponding to the above fire risk monitoring method based on image analysis, the present application also provides a fire risk monitoring device 100 based on image analysis. The fire risk monitoring device 100 based on image analysis includes a fire alarm monitoring and notification terminal and a fire image discrimination algorithm operation terminal. The fire alarm monitoring and notification terminal is respectively communicatively connected to an image receiver, an image analysis processor, a smoke traceability locator, and a fire alarm installed within the fire monitoring space range. The fire image discrimination algorithm operation terminal is communicatively connected to the fire alarm monitoring and notification terminal for algorithm operation support. Specifically, please refer to Figure 4, the fire risk monitoring device 100 based on image analysis includes each unit configured in the fire alarm monitoring and notification terminal: a first image information acquisition unit 110, which is used to obtain the fire monitoring screen information collected by the image collector and determine whether the fire monitoring screen information meets the preset minimum warning display condition; a second image information acquisition unit 120, which is used to obtain the smoke type confirmation information obtained by the image analysis processor through the review and comparison process of the fire monitoring screen information if the fire monitoring screen information meets the minimum warning display condition; an instruction generation unit 130, which is used to generate a corresponding fire protection level adjustment instruction according to the smoke type confirmation information; an identification information acquisition unit 140, which is used to identify whether the fire protection level adjustment instruction conforms to the urgency level corresponding to the smoke concentration correlation evaluation information stored in the image analysis processor to obtain a corresponding identification result; an adjustment strategy acquisition unit 150, which is used to analyze the smoke type confirmation information according to the preset fire protection level rules for confined spaces if the identification result does not conform to the corresponding urgency level to obtain a fire alarm notification quick response strategy corresponding to the smoke type confirmation information; a control instruction sending unit 160, which is used to generate a corresponding control instruction according to the fire alarm notification quick response strategy and send it to the smoke source tracing locator and the fire alarm to locate the smoke generation source and give an alarm.

[0049] Further, the fire risk monitoring device 100 based on image analysis further includes each unit configured in the fire image discrimination algorithm operation terminal: a safety value judgment unit 210, which is used to judge whether any smoke concentration identification standard value in the fire monitoring screen information is less than the safety guarantee threshold set in the minimum warning display condition; a warning level determination unit 220, which is used to determine that the fire monitoring screen information meets the immediate warning condition in the minimum warning display condition if any smoke concentration identification standard value is less than the set safety guarantee threshold; a preliminary warning unit 230, which is used to determine that the fire monitoring screen information meets the deferred alarm condition in the minimum warning display condition and generate a preliminary warning information if each smoke concentration identification standard value in the fire monitoring screen information is not less than the safety guarantee threshold.

[0050] It should be noted that those skilled in the art can clearly understand that the specific implementation processes of the above-mentioned fire risk monitoring device based on image analysis and each unit can refer to the corresponding descriptions in the foregoing method embodiments. For the sake of convenience and brevity of description, they will not be elaborated here.

[0051] The above-mentioned fire risk monitoring device based on image analysis can be implemented in the form of a computer program, and this computer program can run on a computer device as shown in Figure 5 shown.

[0052] Please refer to Figure 5, which shows a schematic block diagram of a computer device provided by an embodiment of the present application. The computer device 500 executes the above method through the unit modules configured in the device. The server can be an independent server or a server cluster composed of multiple servers.

[0053] The computer device 500 includes a processor 502, a memory, and a network interface 505 connected through a system bus 501. Among them, the memory may include a non-volatile storage medium 503 and an internal memory 504.

[0054] The non-volatile storage medium 503 can store an operating system 5031 and a computer program 5032. The computer program 5032 includes program instructions, and when the program instructions are executed, the processor 502 can be made to execute a fire risk monitoring method based on image analysis.

[0055] The processor 502 is used to provide computing and control capabilities to support the operation of the entire computer device 500.

[0056] The internal memory 504 provides an environment for the operation of the computer program 5032 in the non-volatile storage medium 503. When the computer program 5032 is executed by the processor 502, the processor 502 can be made to execute a fire risk monitoring method based on image analysis.

[0057] The network interface 505 is used for network communication with other devices. Those skilled in the art can understand that Figure 5 the structure shown in is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device 500 to which the solution of the present application is applied. The specific computer device 500 may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0058] It should be understood that in the embodiment of the present application, the processor 502 may be a central processing unit (CPU), and the processor 502 may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0059] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program includes program instructions, and the computer program can be stored in a storage medium, which is a computer-readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the process steps of the embodiments of the above methods.

[0060] Therefore, the present application also provides a storage medium. The storage medium can be a computer-readable storage medium. The storage medium stores a computer program, where the computer program includes program instructions. When the program instructions are executed by a processor, the processor performs the following steps: S110. Obtain the fire monitoring screen information collected by the image collector, and determine whether the fire monitoring screen information meets the preset minimum warning display condition. S120. If the fire monitoring screen information meets the minimum warning display condition, obtain the smoke type confirmation information obtained by the image analysis processor through the review and comparison process of the fire monitoring screen information. S130. Generate a corresponding fire prevention level adjustment instruction according to the smoke type confirmation information. S140. Identify whether the fire prevention level adjustment instruction conforms to the urgency level corresponding to the smoke concentration correlation evaluation information stored in the image analysis processor to obtain a corresponding identification result. S150. If the identification result does not conform to the corresponding urgency level, analyze the smoke type confirmation information according to the preset closed space fire prevention level rule to obtain a fire alarm notification rapid response strategy corresponding to the smoke type confirmation information. S160. Generate a corresponding control instruction according to the fire alarm notification rapid response strategy and send it to the smoke traceability locator and the fire alarm to locate the source of the smoke and give an alarm.

[0061] The storage medium can be a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, an optical disk, or other various computer-readable storage media that can store program codes.

[0062] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the components and steps of the examples have been generally described according to their functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0063] In several embodiments provided by this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of each unit is only a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0064] The steps in the method embodiments of this application can be adjusted, combined, and deleted according to actual needs. The units in the device embodiments of this application can be combined, divided, and deleted according to actual needs. In addition, in each embodiment of this application, each functional unit can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0065] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on such an understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a terminal, or a network device, etc.) to execute all or part of the steps of the methods in each embodiment of this application.

[0066] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed by this application can easily think of various equivalent modifications or substitutions, and these modifications or substitutions should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

1. A fire risk monitoring method based on image analysis, characterized in that: The method is applied to a fire alarm monitoring and notification terminal and a fire image discrimination algorithm operation terminal, wherein the fire alarm monitoring and notification terminal is connected in communication with the fire image discrimination algorithm operation terminal, and the fire alarm monitoring and notification terminal is connected in communication with an image collector, an image analysis processor, a smoke source tracing locator and a fire alarm respectively arranged within a preset fire monitoring space. The method comprises: Obtaining the fire monitoring screen information collected by the image collector, and determining whether the fire monitoring screen information meets the preset minimum warning display condition; If the fire monitoring screen information meets the minimum warning display condition, obtaining smoke type confirmation information obtained by the image analysis processor through review and comparison processing of the fire monitoring screen information; Generate a corresponding fire protection level adjustment instruction according to the smoke type confirmation information; Identifying whether the fire protection level adjustment instruction complies with the urgency level corresponding to the smoke concentration associated assessment information pre-stored in the image analysis processor to obtain a corresponding identification result; If the identification result does not meet the corresponding urgency level, the smoke type confirmation information is parsed according to the preset confined space fire protection level rules to obtain a fire alarm notification rapid response strategy corresponding to the smoke type confirmation information; According to the fire alarm notification rapid response strategy, corresponding control instructions are generated and sent to the smoke source locator and the fire alarm to locate the source of the smoke and issue an alarm.

2. The fire risk monitoring method based on image analysis according to claim 1, characterized in that: The determining whether the fire monitoring screen information meets the preset minimum warning display condition includes: Determine whether any smoke concentration identification standard value in the fire monitoring screen information is less than the safety assurance threshold set in the minimum warning display condition; If any of the smoke concentration identification standard values ​​is less than the set safety assurance threshold, it is determined that the fire monitoring screen information meets the immediate warning condition in the minimum warning display condition; If the smoke concentration identification standard values ​​in the fire monitoring screen information are not less than the safety assurance threshold, it is determined that the fire monitoring screen information meets the suspended alarm condition in the minimum warning display condition, and a preliminary warning message is generated.

3. The fire risk monitoring method based on image analysis according to claim 2, characterized in that: The step of identifying whether the fire protection level increase instruction complies with the urgency level corresponding to the smoke concentration associated urgency assessment information pre-stored in the image analysis processor to obtain a corresponding identification result includes: Determining whether the fire monitoring screen information meets the minimum safety guarantee condition in the urgency level corresponding to the smoke concentration-related urgency assessment information; If the fire monitoring screen information meets the minimum safety guarantee condition, determine whether the smoke type identification determination information in the fire monitoring screen information meets the highest safety guarantee condition in the urgency level corresponding to the smoke concentration-related urgency assessment information; If the smoke type identification determination information meets the highest safety guarantee condition, an identification result that meets the urgency level corresponding to the smoke concentration associated urgency assessment information is obtained; If the fire monitoring screen information does not meet the minimum safety guarantee condition or the smoke type identification determination information does not meet the maximum safety guarantee condition, an identification result that does not meet the urgency level corresponding to the smoke concentration associated urgency assessment information is obtained.

4. The fire risk monitoring method based on image analysis according to claim 1, characterized in that: The step of parsing the smoke type confirmation information according to the preset confined space fire protection level rules to obtain a fire alarm notification rapid response strategy corresponding to the smoke type confirmation information includes: Classify and identify the air smoke type confirmation information in the smoke type confirmation information according to the air smoke type confirmation information in the confined space fire protection level rule to obtain multiple current smoke hazard assessment information; Combining and judging the two pieces of confirmation information of the types of smoke in the air contained in each piece of the current smoke hazard assessment information, to obtain the smoke hazard urgency information of each piece of the current smoke hazard assessment information; Determining whether the smoke hazard urgency information matches any parsing strategy in the confined space fire protection level rule; If the smoke hazard urgency information matches any parsing strategy, the smoke hazard urgency information and the smoke type confirmation information are parsed according to the matching parsing strategy to obtain a fire alarm notification rapid response strategy including smoke source tracing and positioning parameters.

5. The method for fire risk monitoring based on image analysis according to claim 4, characterized in that: The smoke danger urgency information and the smoke type confirmation information are parsed according to the matching parsing strategy to obtain a fire alarm notification rapid response strategy including smoke source tracing and positioning parameters, including: Determine the subdivided safety area alarm instructions corresponding to the smoke danger urgency information according to the safety area responsibility division rules in the analysis strategy; Determine, according to the fire risk assessment rules in the analysis strategy, a safety personnel reminder instruction corresponding to the smoke hazard urgency information; Determine the most urgent area tracing and positioning parameters corresponding to the smoke danger urgency information according to the safety personnel navigation instructions in the parsing strategy; The fire alarm notification quick response strategy is obtained by combining the subdivided safety area alarm instructions, the safety personnel reminder instructions and the most urgent area tracing and positioning parameters.

6. The fire risk monitoring method based on image analysis according to claim 1, characterized in that: The generating corresponding control instructions according to the fire alarm notification quick response strategy and sending them to the smoke source locator and the fire alarm for fire notification includes: Generate corresponding emergency fire notification instructions according to the subdivided safety area alarm instructions and safety personnel reminder instructions in the fire alarm notification rapid response strategy and send them to the smoke source tracing locator; According to the subdivided safety area alarm instructions and the most urgent area tracing and positioning parameters in the fire alarm notification rapid response strategy, a corresponding normalized fire notification instruction is generated and sent to the fire alarm.

7. The method for fire risk monitoring based on image analysis according to claim 6, characterized in that: The generating of corresponding normalized fire notification instructions according to the subdivided safety area alarm instructions and the most urgent area tracing location parameters in the fire alarm notification rapid response strategy and sending the instructions to the fire alarm includes: A smoke hazard source elimination method instruction is generated according to the smoke type associated hazard reminder instruction in the subdivided safety area alarm instruction and the smoke hazard source elimination method information in the subdivided safety area alarm instruction and sent to the safety personnel information monitoring area.

8. A fire risk monitoring device based on image analysis, characterized in that: The device includes a fire alarm monitoring and notification terminal and a fire image discrimination algorithm operation terminal. The fire alarm monitoring and notification terminal is respectively connected to an image receiver, an image analysis processor, a smoke source locator and a fire alarm arranged within the fire monitoring space. The fire image discrimination algorithm operation terminal is connected to the fire alarm monitoring and notification terminal for interactive communication and algorithm operation support. The image analysis-based fire risk monitoring device applies the image analysis-based fire risk monitoring method according to any one of claims 1 to 7. The image analysis-based fire risk monitoring device includes various units configured in the fire alarm monitoring and notification terminal: The first image information acquisition unit is used to acquire the fire monitoring screen information acquired by the image acquisition device, and determine whether the fire monitoring screen information meets the preset minimum warning display condition; A second image information acquisition unit is used to obtain smoke type confirmation information obtained by the image analysis processor through review and comparison processing of the fire monitoring screen information if the fire monitoring screen information meets the minimum warning display condition; An instruction generating unit, used for generating a corresponding fire protection level adjustment instruction according to the smoke type confirmation information; an identification information acquisition unit, configured to identify whether the fire protection level adjustment instruction conforms to the urgency level corresponding to the smoke concentration associated assessment information pre-stored in the image analysis processor, so as to obtain a corresponding identification result; An adjustment strategy collection unit is used to parse the smoke type confirmation information according to a preset confined space fire protection level rule if the recognition result does not meet the corresponding urgency level, so as to obtain a fire alarm notification rapid response strategy corresponding to the smoke type confirmation information; A control instruction sending unit is used to generate corresponding control instructions according to the fire alarm notification rapid response strategy and send them to the smoke source locator and the fire alarm to locate the source of the smoke and issue an alarm.

9. The fire risk monitoring device based on image analysis according to claim 8, characterized in that: The device also includes various units configured in the fire image discrimination algorithm operation terminal: A safety value judgment unit, used to judge whether any smoke density recognition standard value in the fire monitoring screen information is less than the safety guarantee threshold set in the minimum warning display condition; A warning level determination unit, configured to determine that the fire monitoring screen information satisfies the immediate warning condition in the minimum warning display condition if any of the smoke concentration recognition standard values ​​is less than a set safety assurance threshold; The preliminary warning unit is used to determine that the fire monitoring screen information meets the suspended alarm condition in the minimum warning display condition if all the smoke concentration identification standard values ​​in the fire monitoring screen information are not less than the safety assurance threshold, and generate preliminary warning information.

10. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the method according to any one of claims 1 to 7 when executing the computer program.

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