Fireproof boundary monitoring method and device based on state discrimination and computer equipment

Abstract

The embodiment of the invention discloses a fireproof boundary monitoring method based on state discrimination, and the method comprises the steps: obtaining the static state image information of a fireproof door, and obtaining the fireproof door state re-checking information obtained by carrying out the re-checking comparison processing of the static state image information of the fireproof door through an image analysis processor; a fireproof door pre-adjusting instruction is generated according to the fireproof door state re-checking information; identifying whether the fireproof door pre-adjusting instruction accords with a leakproofness level corresponding to fireproof door current leakproofness evaluation information pre-stored in a fireproof boundary information memory to obtain a corresponding identification result; obtaining a fireproof door airtight control strategy corresponding to the fireproof door state rechecking information; and generating a corresponding regulation and control instruction and sending the regulation and control instruction to the fireproof door remote controller and the fireproof door leakproofness regulator so as to regulate and control the fireproof door. According to the method, the static and dynamic image evolution process of the fireproof door can be analyzed in real time, the opening and closing state of the door can be effectively identified, and the state change of the fireproof door can be accurately captured to realize real-time monitoring and early warning.

Description

Technical Field

[0001] This application relates to the field of intelligent security technology, and particularly to a fire prevention boundary monitoring method, device, and computer device based on state discrimination. Background Art

[0002] In the current field of fire prevention boundary monitoring technology, the commonly adopted solutions have certain limitations in functionality and efficiency. Existing intelligent fire safety-related technologies often rely on physical contact or specific environmental conditions, which restricts their applicability and stability in complex or variable environments. Existing monitoring systems lack advanced intelligent analysis capabilities, resulting in limited processing and interpretation capabilities for monitoring data, and unable to achieve automated identification and response. Due to the lack of intelligence level, the efficiency is low when processing monitoring information, and it is difficult to achieve real-time monitoring and rapid response. Traditional monitoring technologies are often accompanied by high initial installation costs and long-term maintenance costs, and consume a large amount of energy, which does not meet the requirements of economic benefits and sustainable development. These defects indicate that there is still a large room for improvement in the existing fire prevention boundary monitoring technology in terms of enhancing monitoring automation, intelligence, and cost-effectiveness. Summary of the Invention

[0003] Embodiments of this application provide a fire prevention boundary monitoring method, device, and computer device based on state discrimination, aiming to solve the problem of too low intelligence level in the security monitoring process in the existing fire prevention field.

[0004] In a first aspect, an embodiment of the present application provides a fire prevention boundary monitoring method based on status discrimination. The method is applied to a fire prevention boundary monitoring control terminal and a fire prevention status discrimination algorithm operation terminal. The fire prevention boundary monitoring control terminal is respectively communicatively connected to an image collector, an image analysis processor, a fire prevention boundary information memory, a fire door remote controller, and a fire door airtightness regulator arranged within a preset fire prevention monitoring space range. The fire prevention boundary monitoring control terminal is communicatively and interactively connected to the fire prevention status discrimination algorithm operation terminal. The method includes obtaining the static state picture information of the fire door collected by the image collector and determining whether the static state picture information of the fire door meets the preset early warning display conditions; if the static state picture information of the fire door meets the early warning display conditions, obtaining the fire door status review information obtained by the image analysis processor through review and comparison processing of the static state picture information of the fire door; generating a fire door pre-adjustment instruction according to the fire door status review information; identifying whether the fire door pre-adjustment instruction conforms to the airtightness level corresponding to the currently stored fire door airtightness evaluation information in the fire prevention boundary information memory to obtain a corresponding identification result; if the identification result does not conform to the airtightness level corresponding to the currently stored fire door airtightness evaluation information, parsing the fire door status review information according to the preset fire prevention level rules for enclosed spaces to obtain a fire door airtight control strategy corresponding to the fire door status review information; generating a corresponding control instruction according to the fire door airtight control strategy and sending it to the fire door remote controller and the fire door airtightness regulator to adjust the fire door.

[0005] Second aspect, the embodiments of the present application further provide a fire prevention boundary monitoring device based on status discrimination. The device includes a fire prevention boundary monitoring control terminal and a fire prevention status discrimination algorithm operation terminal. The fire prevention monitoring control system is respectively communicatively connected to an image receiver, an image analysis processor, a fire door remote controller, and a fire door airtightness regulator arranged within the fire prevention monitoring space range. The fire prevention status discrimination algorithm operation terminal is communicatively connected to each of the above functional modules in the fire prevention boundary monitoring control terminal and provides algorithm operation support. The device applies the fire prevention boundary monitoring method based on status discrimination as described above. The device includes a first image information acquisition unit for acquiring the static state picture information of the fire door collected by the image collector and determining whether the static state picture information of the fire door meets the preset early warning display conditions; a second image information acquisition unit for, if the static state picture information of the fire door meets the early warning display conditions, acquiring the fire door status review information obtained by the image analysis processor through review and comparison processing of the static state picture information of the fire door; an instruction generation unit for generating a fire door pre-adjustment instruction according to the fire door status review information; an identification unit for identifying whether the fire door pre-adjustment instruction conforms to the airtightness level corresponding to the currently stored fire door airtightness evaluation information in the fire prevention boundary information memory to obtain a corresponding identification result; an adjustment strategy acquisition unit for, if the identification result does not conform to the airtightness level corresponding to the currently stored fire door airtightness evaluation information, analyzing the fire door status review information according to the preset fire prevention level rules for enclosed spaces to obtain a fire door airtight control strategy corresponding to the fire door status review information; and a control instruction sending unit for generating a corresponding control instruction according to the fire door airtight control strategy and sending it to the fire door remote controller and the fire door airtightness regulator to adjust the fire door.

[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 prevention boundary monitoring method based on state discrimination. The method is applied to a fire prevention boundary monitoring control terminal, which is communicatively connected to an image collector, an image analysis processor, a fire prevention boundary information memory, a fire door remote controller, and a fire door airtightness regulator set within a preset fire prevention monitoring space range. The method includes obtaining the static state picture information of the fire door collected by the image collector, and determining whether the static state picture information of the fire door meets the preset warning display conditions; if the static state picture information of the fire door meets the warning display conditions, obtaining the fire door state review information obtained by the image analysis processor through review and comparison processing of the static state picture information of the fire door; generating a fire door pre-adjustment instruction according to the fire door state review information; identifying whether the fire door pre-adjustment instruction conforms to the airtightness level corresponding to the currently stored fire door airtightness evaluation information in the fire prevention boundary information memory to obtain a corresponding identification result; if the identification result does not conform to the airtightness level corresponding to the currently stored fire door airtightness evaluation information, parsing the fire door state review information according to the preset airtight space fire prevention level rule to obtain a fire door airtight control strategy corresponding to the fire door state review information; generating a corresponding control instruction according to the fire door airtight control strategy and sending it to the fire door remote controller and the fire door airtightness regulator to adjust the fire door. The algorithm adopted by the above method and device can analyze the static and dynamic image evolution process of the fire door in real time, effectively identify the opening and closing state of the door, and accurately capture the state change of the fire door even in complex and changeable indoor and outdoor environments, so as to realize instant monitoring and warning. Through in-depth analysis of the image, the algorithm can identify various states of the fire door with high precision, including tiny changes in the opening and closing angles, providing a reliable technical guarantee for fire prevention boundary monitoring. 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 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 1 It is a flowchart of the fire prevention boundary monitoring method based on state discrimination provided by the embodiment of the present application;

[0010] Figure 2 It is a sub-flowchart of the fire prevention boundary monitoring method based on state discrimination provided by the embodiment of the present application;

[0011] Figure 3 It is another sub-flowchart of the fire prevention boundary monitoring method based on state discrimination provided by the embodiment of the present application;

[0012] Figure 4 A schematic block diagram of the fire prevention boundary monitoring device based on status discrimination provided by an embodiment of the present application;

[0013] Figure 5 A schematic block diagram of the computer device provided by an embodiment 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 the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art 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 "comprising" and "including" 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 / " 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] An embodiment of the present application provides a fire prevention boundary monitoring method, device, and computer device based on status discrimination. The execution subject of the fire prevention boundary monitoring method based on status discrimination can be the fire prevention boundary monitoring device provided by the embodiment of the present application. The fire prevention boundary monitoring method based on status discrimination is applied to a fire prevention boundary monitoring control terminal and a fire prevention status discrimination algorithm operation terminal. The fire prevention boundary monitoring control terminal is communicatively connected to the fire prevention status discrimination algorithm operation terminal, and the fire prevention boundary monitoring control terminal is respectively communicatively connected to an image collector, an image analysis processor, a fire prevention boundary information memory, a fire door remote controller, and a fire door airtightness regulator arranged within a preset fire prevention monitoring space range.

[0019] The fire prevention boundary monitoring method based on status discrimination is applied to Figure 5 the computer device 500 therein.

[0020] Figure 1 It is a schematic flow chart of the fire prevention boundary monitoring method based on status discrimination provided by an embodiment of the present application. This method includes the following steps S110 - S160.

[0021] S110. Obtain the static state picture information of the fire door collected by the image collector, and determine whether the static state picture information of the fire door meets the preset early warning display conditions.

[0022] S120. If the static state picture information of the fire door meets the early warning display conditions, obtain the fire door status review information obtained by the image analysis processor through the review and comparison process of the static state picture information of the fire door.

[0023] S130. Generate a pre - adjustment instruction for the fire door according to the fire door status review information.

[0024] S140. Identify whether the pre - adjustment instruction for the fire door conforms to the airtightness level corresponding to the pre - stored current airtightness evaluation information of the fire door in the fire prevention boundary information memory, so as to obtain the corresponding identification result.

[0025] S150. If the identification result does not conform to the airtightness level corresponding to the current airtightness evaluation information of the fire door, analyze the fire door status review information according to the preset fire prevention level rules for the enclosed space to obtain the fire door airtightness control strategy corresponding to the fire door status review information.

[0026] S160. Generate a corresponding control instruction according to the fire door airtightness control strategy and send it to the fire door remote controller and the fire door airtightness regulator to control the fire door.

[0027] Specifically, a highly intelligent and automated fire prevention boundary monitoring system effectively monitors and manages the status of fire doors through image recognition technology and control systems to ensure fire safety. The system components include an image collector, an image analysis processor, a fire prevention boundary information memory, a fire door remote controller, a fire door airtightness regulator, etc. Establishing a perfect data backup and recovery mechanism provides strong technical support for realizing intelligent fire safety management and helps improve the safety management level of places such as power plants. Using a high - resolution and multi - angle image collector to achieve all - round and non - dead - angle monitoring of fire doors. The image collector is built - in with an environmental perception module, which can automatically adjust shooting parameters according to environmental changes such as light and temperature to ensure image quality.

[0028] The above method preprocesses the collected images, such as denoising and enhancing, to improve the accuracy of subsequent analysis. Using deep learning algorithms, it accurately identifies the open and closed states of the fire door, including intermediate states such as slightly open and half open. Through training with a large number of samples, it extracts the characteristics of the fire door state and constructs a high-precision recognition model. The system monitors the fire door state in real time. Once an abnormal state is detected, it immediately triggers the warning mechanism, conducts a secondary review of the warning information, verifies the preliminary recognition result through an image analysis processor, reduces false alarms, and automatically generates pre-adjustment instructions according to the review result, including adjusting the airtightness of the door and sending alarm signals. The system dynamically evaluates the airtightness of the fire door based on real-time data and historical data to achieve precise control. According to the evaluation result, the system automatically selects the optimal control strategy, such as remotely controlling the fire door to close and adjusting the airtightness, solving the problem of inaccurate image recognition caused by changes in light and temperature in the complex indoor and outdoor environment of the traditional monitoring system. Through deep learning algorithms, it improves the recognition accuracy of the open and closed states of the fire door, reduces the false alarm rate, realizes real-time monitoring of the fire door state, and can detect abnormalities and respond in a timely manner. Through intelligent control strategies, it solves the problem of difficult precise control of the airtightness of the fire door and improves the actual protection effect of the fire door. The system effectively monitors and controls the fire door state, significantly improving the fire safety level in key places such as power plants. It realizes the automatic monitoring and management of the fire door state, reduces manual intervention, and improves management efficiency. The system has an intelligent warning function, can provide timely alarms before potential fire risks occur, and prevent the expansion of accidents. By collecting and analyzing the fire door state data, it provides data support for fire safety management and helps to formulate more scientific fire safety strategies. The designed system has good compatibility and scalability, can be integrated with existing security systems and intelligent building systems, leaving room for future function upgrades. Through these creative implementation processes and technical points, the technical solution not only improves the intelligent level of fire boundary monitoring, but also brings innovation to the field of fire safety management.

[0029] The core of this technical solution lies in using advanced image analysis technology to monitor and control the opening and closing states of fire doors in real time, aiming to achieve scientific energy conservation, safe and efficient fire boundary management. By adopting a high-precision image recognition algorithm, the opening and closing states of fire doors are monitored in real time to ensure the accuracy of each opening and closing action. The system automatically adjusts the opening and closing strategies of fire doors according to factors such as indoor and outdoor temperature differences and personnel activity patterns, reducing unnecessary energy losses. By analyzing environmental data such as temperature and humidity, the system dynamically adjusts the opening duration and frequency of fire doors to achieve the purpose of energy conservation. Using historical data to predict personnel flow patterns and pre-adjust the states of fire doors to reduce energy waste. The system monitors fire doors in real time. Once it is found that the door fails to close within the specified time or is abnormally opened, an alarm is immediately triggered. In case of emergencies such as fires, the system can automatically issue a door-closing command to ensure fire isolation. According to fire safety regulations, the system automatically checks the compliance of fire door usage to ensure the strict implementation of safety rules. By analyzing the opening and closing data of fire doors, potential safety risks are predicted and measures are taken in advance to prevent accidents. Through image analysis technology, the automatic monitoring and control of fire door states are realized, reducing the dependence on manual labor. Managers can view the states of fire doors in real time and perform remote operations through a remote control system. The system collects the usage data of fire doors and optimizes the opening and closing control strategies through data analysis, improving management efficiency. A feedback mechanism is established to continuously adjust and optimize the control strategies according to the actual operation effects to achieve efficient management. By intelligently adjusting the opening and closing of fire doors, the energy consumption of buildings is significantly reduced, and the safety management level of fire doors is improved, effectively preventing the occurrence of fire accidents. The automated and intelligent management method greatly improves the efficiency and accuracy of fire boundary control, ensures the compliance of fire door usage, and meets the requirements of fire safety regulations. In summary, through image analysis technology, this technical solution realizes the scientific energy conservation, safe and efficient control of the opening and closing of the fire boundary (fire doors), providing strong technical support for building fire safety management.

[0030] Generally speaking, in more specific embodiments, as Figure 2 shown, when executing method S120, it specifically further includes executing steps S121 - S123.

[0031] S121. Determine whether any recognition standard value in the static state picture information of the fire door is less than the error safety value set in the warning display condition.

[0032] S122. If any recognition standard value is less than the set error safety value, determine that the static state picture information of the fire door meets the immediate warning condition in the warning display condition.

[0033] S123. If all the recognition standard values in the static state picture information of the fire door are not less than the error safety value, it is determined that the static state picture information of the fire door meets the condition of delaying the alarm in the warning display condition, and a preliminary warning message is generated.

[0034] Specifically, the system makes an accurate judgment on the recognition standard values in the static state picture information of the fire door to determine whether they are less than the error safety value set in the warning display condition. The innovation of this approach lies in the introduction of the concept of "error safety value", which sets an acceptable error range for the normal state of the fire door, thereby improving the monitoring accuracy and system reliability. By setting the error safety value, the system can not only identify obvious abnormal states but also monitor minor deviations, ensuring that the fire door can receive timely attention and handling in any situation that may affect safety. In step S122, if any recognition standard value is less than the error safety value, the system immediately determines that it meets the immediate warning condition. This dynamic determination method allows the system to quickly respond when detecting potential risks without waiting for more data or further analysis. The setting of the immediate warning condition greatly shortens the time from detection to response. For fire safety, this rapid response ability can provide a crucial early warning before an accident occurs, thus preventing the occurrence or spread of a fire. In step S123, if all recognition standard values are within the error safety value range, the system determines that it meets the condition of delaying the alarm and generates a preliminary warning message. This processing method reflects the intelligence and flexibility of the system, which can avoid false alarms under unnecessary circumstances, reduce resource waste and personnel panic. The introduction of the condition of delaying the alarm enables the system to process monitoring data more intelligently and only issue an alarm when it is truly necessary. This not only improves the intelligence level of the system but also enhances the user experience and reduces unnecessary interference. These three steps together constitute an intelligent decision-making process, and the system can dynamically adjust the response strategy according to real-time data, which is relatively rare in traditional fire door monitoring systems. By introducing the error safety value and dynamic warning conditions, the system not only ensures accurate monitoring but also improves the processing efficiency, reduces the possibility of false alarms and missed alarms. This state-based discrimination method has good adaptability and can be easily extended to other types of monitoring systems, providing strong technical support for the construction of intelligent buildings and smart cities. The design of steps S121 - S123 reflects a high degree of creativity and practical value, and they jointly ensure the efficient, accurate and intelligent operation of the fire boundary monitoring system.

[0035] Generate specific control instructions according to the fire door airtight control strategy system and send them to the fire door remote controller and the fire door airtightness regulator. After receiving the instructions, the remote controller and the regulator perform corresponding control operations on the fire door to ensure that the fire door is in the correct state. Through image acquisition and analysis, the system can monitor the state of the fire door in real time and issue an early warning quickly in case of abnormalities. Through the identification of the airtightness level and the acquisition of the control strategy, the system can accurately control the state of the fire door to ensure fire safety. The entire monitoring and control process is highly automated, reducing manual intervention and improving management efficiency and safety. The system can flexibly adjust the response strategy according to different early warning conditions to adapt to various complex environments. In summary, the fire boundary monitoring method based on state discrimination provided by the embodiment of the present application greatly improves the safety management level of the fire boundary through refined image analysis and intelligent control strategies.

[0036] In a more specific embodiment, as Figure 3 shown, when executing method S140, it further specifically includes executing steps S141 - S144.

[0037] S141. Determine whether the information of the fire door static state picture conforms to the first safety guarantee condition in the airtightness level corresponding to the current airtightness evaluation information of the fire door.

[0038] S142. If the information of the fire door static state picture conforms to the first safety guarantee condition, determine whether the habitual behavior information of the safety officer opening and closing the door in the information of the fire door static state picture conforms to the second safety guarantee condition in the airtightness level corresponding to the current airtightness evaluation information of the fire door.

[0039] S143. If the habitual behavior information of the safety officer opening and closing the door conforms to the second safety guarantee condition, obtain the recognition result corresponding to the airtightness level of the current airtightness evaluation information of the fire door.

[0040] S144. If the information of the fire door static state picture does not conform to the first safety guarantee condition or the habitual behavior information of the safety officer opening and closing the door does not conform to the second safety guarantee condition, obtain the recognition result that does not conform to the airtightness level of the current airtightness evaluation information of the fire door.

[0041] Specifically, in step S141, the system first determines whether the static state screen information of the fire door meets the first safety guarantee condition. This condition is set based on the current airtightness evaluation information of the fire door to ensure that the physical state of the fire door meets the most basic fire safety requirements. By setting the first safety guarantee condition, the system can quickly screen out the fire door states that do not meet the basic safety requirements, providing a basis for subsequent refined management. In step S142, if the static state screen information of the fire door meets the first safety guarantee condition, the system will further determine whether the habitual opening and closing behavior information of the safety officer meets the second safety guarantee condition. This step introduces behavior analysis, incorporating the operating habits of personnel into the safety assessment system. Considering the behavior habits of safety officers increases the intelligence level of the monitoring system, helps identify potential human errors or abnormal behaviors, and thus improves the comprehensiveness of safety management. In step S143, when both the static state screen information of the fire door and the opening and closing behavior information of the safety officer meet the corresponding safety guarantee conditions, the system obtains an identification result that conforms to the airtightness level. This indicates that the fire door is in the expected safe state. This positive confirmation mechanism ensures that the system will only consider the fire door to be in a safe state when all safety conditions are met, reducing the possibility of misjudgment. If the static state screen information of the fire door or the opening and closing behavior information of the safety officer does not meet the safety guarantee condition, the system will obtain an identification result that does not conform to the airtightness level. This step enables the system to identify and respond to potential risks. By identifying non-compliant situations, the system can promptly issue an alarm and take corresponding measures to prevent the occurrence of safety risks. The design of steps S141 - S144 realizes a multi-level safety assessment system, considering both the physical state of the fire door and the behavior habits of safety officers. Combining image analysis and behavior pattern recognition, the system can not only evaluate the physical state of the fire door but also understand and predict the impact of personnel behavior on safety. Through dynamic judgment and response, the system can manage the safety state of the fire door in real time, effectively preventing and controlling safety risks. These steps together constitute a systematic safety strategy, improving the accuracy and efficiency of fire boundary monitoring and providing strong technical support for fire safety management. In summary, the implementation of steps S141 - S144 not only reflects a high degree of technological innovation but also has significant safety benefits and management efficiency in practical applications.

[0042] In a more specific embodiment, the fire door status review information is analyzed according to the preset fire prevention level rules for enclosed spaces to obtain a fire door airtight control strategy corresponding to the fire door status review information, including: pairing and sorting the fire door current status confirmation information in the fire door status review information according to the fire door current status confirmation information in the enclosed space fire prevention level rules to obtain multiple approximate confirmation information pairs; comparing and judging the two fire door current status confirmation information included in each approximate confirmation information pair to obtain the fire door status evolution information of each approximate confirmation information pair; judging whether the approximate confirmation comparison information matches any parsing strategy in the enclosed space fire prevention level rules; if the fire door status evolution information matches any parsing strategy, parsing the fire door status evolution information and the fire door status review information according to the matching parsing strategy to obtain a fire door airtight control strategy including regulation parameters.

[0043] Further, parsing the fire door status evolution information and the fire door status review information according to the matching parsing strategy to obtain a fire door airtight control strategy including regulation parameters, including determining the fire door activity control parameters corresponding to the fire door status evolution information according to the direction determination rule in the parsing strategy; determining the fire door rotation closing angular velocity parameters corresponding to the fire door status evolution information according to the fire risk assessment rule in the parsing strategy; determining the fire door activity acceleration control parameters corresponding to the fire door status evolution information according to the distance regulation rule in the parsing strategy; combining the fire door activity control parameters, the fire door rotation closing angular velocity parameters and the fire door activity acceleration control parameters to obtain the fire door airtight control strategy.

[0044] Specifically, in a more specific embodiment, the system sorts and matches the corresponding information in the fire door status review information according to the current status confirmation information of the fire door in the fire prevention level rules for enclosed spaces, forming multiple approximate confirmation information pairs. Then, the system compares and judges the two current status confirmation information of the fire door in these information pairs to obtain the fire door status evolution information of each approximate confirmation information pair. This method of pairing and comparison can accurately track the subtle changes in the fire door status, providing accurate data support for subsequent analysis and strategy formulation. The system then determines whether the approximate confirmation comparison information matches any of the analysis strategies in the fire prevention level rules for enclosed spaces. If it matches, the system analyzes the fire door status evolution information and the fire door status review information according to the analysis strategy. By matching the preset analysis strategies, the system can automatically select the most appropriate processing method, improving the intelligence level and adaptive ability of the system. During the analysis process, the system determines the fire door movement control parameters, the rotational closing angular velocity parameters, and the movement acceleration control parameters respectively according to the direction determination rule, the fire risk assessment rule, and the distance regulation rule. Finally, these parameters are combined to form the fire door airtight control strategy. Adjust the closing speed of the fire door according to the potential risk of the fire, improving the efficiency of emergency response. Precisely control the closing distance of the fire door to ensure the complete closure of the door body without leaving any safety dead corners. Through accurate data analysis and comparison, the system realizes data-based decision-making, improving the scientificity and accuracy of the decision. The system can not only identify problems but also automatically generate the optimal control strategy according to the specific situation of the problems, achieving a high degree of intelligence. By presetting a variety of analysis strategies, the system can adapt to different fire door statuses and emergency situations, ensuring effective control of the fire door in various situations. The generated fire door airtight control strategy not only ensures fire safety but also improves the operation efficiency of the fire door by optimizing the parameters. The method in the embodiment can significantly improve the performance of the fire prevention boundary monitoring system in practical applications, providing strong technical support for fire safety management.

[0045] Further, a corresponding regulation instruction is generated according to the fire door airtight control strategy and sent to the fire door remote controller and the fire door airtightness regulator to regulate the fire door, including generating a corresponding fire door accelerated closing instruction according to the fire door movement control parameters and the fire door rotational closing angular velocity parameters in the fire door airtight control strategy and sending it to the fire door remote controller; generating a corresponding fire door regulation instruction according to the fire door movement control parameters and the fire door movement acceleration control parameters in the fire door airtight control strategy and sending it to the fire door airtightness regulator.

[0046] Further, a corresponding fire door regulation instruction is generated according to the fire door movement control parameters and the fire door movement acceleration control parameters in the fire door airtight control strategy and sent to the fire door airtightness regulator, including generating a fire door movement deceleration control instruction according to the displacement direction parameter in the fire door movement control parameters and the horizontal displacement distance in the fire door movement control parameters and sending it to the fire door positive rotation adjustment component; generating an airtight strengthening instruction according to the rotation direction parameter in the fire door movement control parameters and the angular velocity change information in the fire door movement control parameters and sending it to the fire door airtight strengthening component.

[0047] Specifically, in a further specific embodiment, the system generates corresponding fire door accelerated closing instructions according to the fire door movement control parameters and the fire door rotation closing angular velocity parameters in the fire door airtight control strategy and sends these instructions to the fire door remote controller. The generation of such instructions takes into account the speed and direction of the fire door closing, ensuring that the fire door can be closed quickly and accurately in case of an emergency, thereby effectively isolating the fire source and smoke. The system further generates corresponding fire door regulation instructions according to the fire door movement control parameters and the fire door movement acceleration control parameters and sends them to the fire door airtightness regulator. By precisely controlling the movement and acceleration of the fire door, the system can ensure that the fire door maintains an appropriate speed and force during the closing process, avoiding damage or incomplete sealing caused by closing too fast or too slow. The system generates a fire door movement deceleration control instruction according to the displacement direction parameter and the horizontal displacement distance and sends it to the fire door positive rotation adjustment component. This helps to reduce the speed in the final stage of the fire door closing and avoid impact damage. The system generates an airtight strengthening instruction according to the rotation direction parameter and the angular velocity change information and sends it to the fire door airtight strengthening component. This ensures that the fire door can achieve the maximum airtight effect after closing and prevent the penetration of fire and smoke. The system can dynamically generate regulation instructions according to the real-time monitored state of the fire door, realizing the instant control of the fire door state. Through precise parameter control, the system can fine-tune the closing action of the fire door to ensure safe and effective airtightness even in case of an emergency. The generation and sending of the regulation instructions are modular, facilitating the maintenance and upgrade of the system, and at the same time improving the reliability of the system. Through these regulation instructions, the system can quickly respond in case of emergencies such as fires, improving the safety of the fire door and the safety management level of the entire building. In summary, the method in the embodiment not only demonstrates a high degree of technological innovation but also can significantly improve the working efficiency and safety of the fire door control system in practical applications, providing a strong technical guarantee for fire safety.

[0048] The algorithm adopted by the above method can analyze the static and dynamic image evolution process of the fire door in real time, effectively identify the opening and closing state of the door. Even in complex and changeable indoor and outdoor environments, it can accurately capture the state changes of the fire door, so as to achieve instant monitoring and early warning. Through in-depth analysis of the images, the algorithm can identify various states of the fire door with high precision, including tiny changes in the opening and closing angles, providing a reliable technical guarantee for fire boundary monitoring. The system combines the image information identified by the algorithm with the state information of the fire door to conduct intelligent state assessment, ensuring that the fire door is always in the best working state. By analyzing the usage frequency and state changes of the fire door, the system can predict potential maintenance needs, carry out preventive maintenance in advance, and extend the service life of the fire door. The technical solution takes into account the working habits of security personnel. By learning and analyzing their behavior patterns, the system can formulate personalized monitoring strategies, reduce false alarms and missed alarms, and improve the pertinence and efficiency of monitoring. The system can provide corresponding behavior guidance according to the working habits of security personnel to help improve their operating habits, thereby enhancing the overall safety management level. In the face of emergencies such as fires, the system can quickly adjust the monitoring parameters according to the urgency of the danger to ensure that the fire door can be closed in time to prevent the spread of fire. The emergency response mechanism designed by the system can quickly handle the situation when the danger occurs, buying precious time for personnel evacuation and fire control. The technical solution realizes the full-range monitoring of the fire door state, including the physical state of the door, personnel operation behavior and environmental changes, ensuring no dead angle in monitoring. Through precise image recognition and state analysis, the system provides highly accurate monitoring data, providing a reliable basis for decision-making. The automated monitoring process and intelligent decision support greatly improve the monitoring efficiency and reduce the input of human and material resources. The system takes into account the energy-saving requirements in the design. By optimizing the algorithm and equipment usage, it reduces energy consumption, meeting the green and environmental-friendly building management concept.

[0049] In summary, through algorithmic identification and analysis of static and dynamic images, combined with the state information of fire doors, the working habits of security personnel, and the urgency of real-world dangers, this technical solution achieves comprehensive, accurate, efficient, and energy-saving fire boundary monitoring, significantly enhancing the intelligent level and emergency response capabilities of fire safety management, and providing strong technical support for building safety.

[0050] Figure 4It is a schematic block diagram of a fire prevention boundary monitoring device provided by an embodiment of the present application. As shown in the figure, corresponding to the above fire prevention boundary monitoring method based on state discrimination, the present application also provides a fire prevention boundary monitoring device 100 based on state discrimination. The fire prevention boundary monitoring device 100 includes the fire prevention boundary monitoring control terminal and the fire prevention state discrimination algorithm operation terminal in the above method. The fire prevention boundary monitoring control terminal is communicatively connected to the fire prevention state discrimination algorithm operation terminal so that the fire prevention boundary monitoring method based on state discrimination can be applied to the fire prevention boundary monitoring device 100. The fire prevention boundary monitoring control terminal is respectively communicatively connected to an image collector, an image analysis processor, a fire prevention boundary information memory, a fire door remote controller, and a fire door airtightness regulator provided within a preset fire prevention monitoring space range. Specifically, please refer to Figure 4, the fire prevention boundary monitoring device 100 based on state discrimination includes each unit configured in the fire prevention boundary monitoring control terminal: a first image information acquisition unit 110, which is used to acquire the static state picture information of the fire door collected by the image collector and determine whether the static state picture information of the fire door meets the preset warning display conditions; a second image information acquisition unit 120, which is used to, if the static state picture information of the fire door meets the warning display conditions, acquire the fire door state review information obtained by the image analysis processor through the review and comparison process of the static state picture information of the fire door; an instruction generation unit 130, which is used to generate a fire door pre-adjustment instruction according to the fire door state review information; an identification unit 140, which is used to identify whether the fire door pre-adjustment instruction conforms to the airtightness level corresponding to the pre-stored current airtightness evaluation information of the fire door in the fire prevention boundary information memory, so as to obtain the corresponding identification result; an adjustment strategy acquisition unit 150, which is used to, if the identification result does not conform to the airtightness level corresponding to the current airtightness evaluation information of the fire door, analyze the fire door state review information according to the preset fire prevention level rules for enclosed spaces, so as to obtain the fire door airtight control strategy corresponding to the fire door state review information; a control instruction sending unit 160, which is used to generate a corresponding control instruction according to the fire door airtight control strategy and send it to the fire door remote controller and the fire door airtightness regulator to control the fire door. Further, the fire prevention boundary monitoring device 100 based on state discrimination further includes each unit configured in the fire prevention state discrimination algorithm operation terminal: a safety value judgment unit 210, which is used to judge whether any identification standard value in the static state picture information of the fire door is less than the error safety value set in the warning display conditions; a warning level determination unit 220, which is used to, if any identification standard value is less than the set error safety value, determine that the static state picture information of the fire door meets the immediate warning conditions in the warning display conditions; a preliminary warning unit 230, which is used to, if each identification standard value in the static state picture information of the fire door is not less than the error safety value, determine that the static state picture information of the fire door meets the postponed alarm conditions in the warning display conditions and generate a preliminary warning information.

[0051] It should be noted that those skilled in the art can clearly understand that the specific implementation processes of the above-mentioned fire prevention boundary monitoring device based on state discrimination and each unit can refer to the corresponding descriptions in the foregoing method embodiments. For the convenience and conciseness of description, they will not be elaborated here.

[0052] The above-mentioned fire prevention boundary monitoring device based on state discrimination 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.

[0053] 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.

[0054] 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.

[0055] The non-volatile storage medium 503 can store an operating system 5031 and a computer program 5032. The computer program 5032 includes program instructions. When the program instructions are executed, the processor 502 can be made to execute a fire prevention boundary monitoring method based on state discrimination.

[0056] The processor 502 is used to provide computing and control capabilities to support the operation of the entire computer device 500.

[0057] 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 prevention boundary monitoring method based on state discrimination.

[0058] 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

[0059] 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.

[0060] 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.

[0061] 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, obtaining the information of the static state picture of the fire door collected by the image collector, and determining whether the information of the static state picture of the fire door meets the preset early warning display conditions; S120, if the information of the static state picture of the fire door meets the early warning display conditions, obtaining the fire door state review information obtained by the image analysis processor through the review and comparison process of the information of the static state picture of the fire door; S130, generating a pre-adjustment instruction for the fire door according to the fire door state review information; S140, identifying whether the pre-adjustment instruction for the fire door conforms to the airtightness level corresponding to the pre-stored current airtightness evaluation information of the fire door in the fire boundary information memory to obtain a corresponding identification result; S150, if the identification result does not conform to the airtightness level corresponding to the current airtightness evaluation information of the fire door, parsing the fire door state review information according to the preset fire prevention level rules for the enclosed space to obtain a fire door airtight control strategy corresponding to the fire door state review information; S160, generating a corresponding control instruction according to the fire door airtight control strategy and sending it to the fire door remote controller and the fire door airtightness regulator to control the fire door.

[0062] The storage medium can be a variety of computer-readable storage media such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disc, etc., which can store program codes.

[0063] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in this article can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described according to 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.

[0064] 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 may 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.

[0065] 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.

[0066] 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 this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of this 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 to enable 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.

[0067] 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 prevention boundary monitoring method based on state discrimination, characterized in that, The method is applied to a fire prevention boundary monitoring and control terminal and a fire prevention state discrimination algorithm operation terminal. The fire prevention boundary monitoring and control terminal is communicatively connected to the fire prevention state discrimination algorithm operation terminal. The fire prevention boundary monitoring and control terminal is respectively communicatively connected to an image collector, an image analysis processor, a fire prevention boundary information memory, a fire door remote controller, and a fire door airtightness regulator arranged within a preset fire prevention monitoring space range. The method includes: Obtain the static state picture information of the fire door collected by the image collector, and determine whether the static state picture information of the fire door meets the preset warning display conditions; If the static state picture information of the fire door meets the warning display conditions, obtain the fire door state review information obtained by the image analysis processor through review and comparison processing of the static state picture information of the fire door; Generate a fire door pre-adjustment instruction according to the fire door state review information; Identify whether the fire door pre-adjustment instruction conforms to the airtightness level corresponding to the currently stored fire door airtightness evaluation information in the fire prevention boundary information memory, so as to obtain a corresponding identification result; If the identification result does not conform to the airtightness level corresponding to the currently stored fire door airtightness evaluation information, analyze the fire door state review information according to the preset airtight space fire prevention level rules, so as to obtain a fire door airtight control strategy corresponding to the fire door state review information; Generate a corresponding control instruction according to the fire door airtight control strategy and send it to the fire door remote controller and the fire door airtightness regulator to control the fire door; 2. The fire prevention boundary monitoring method based on state discrimination according to claim 1, characterized in that, The determination of whether the static state picture information of the fire door meets the preset warning display conditions includes: Determine whether any identification standard value in the static state picture information of the fire door is less than the error safety value set in the warning display conditions; If any of the identification standard values is less than the set error safety value, determine that the static state picture information of the fire door meets the immediate warning condition in the warning display conditions; If all the identification standard values in the static state picture information of the fire door are not less than the error safety value, determine that the static state picture information of the fire door meets the postponed alarm condition in the warning display conditions, and generate a preliminary warning message; 3. The fire prevention boundary monitoring method based on state discrimination according to claim 2, characterized in that, The identification of whether the fire door pre-adjustment instruction conforms to the airtightness level corresponding to the currently stored fire door airtightness evaluation information in the fire prevention boundary information memory, so as to obtain a corresponding identification result, includes: Determine whether the static state picture information of the fire door conforms to the first safety guarantee condition in the airtightness level corresponding to the currently stored fire door airtightness evaluation information; If the static state picture information of the fire door conforms to the first safety guarantee condition, determine whether the habitual behavior information of the safety officer opening and closing the door in the static state picture information of the fire door conforms to the second safety guarantee condition in the airtightness level corresponding to the currently stored fire door airtightness evaluation information; If the habitual behavior information of the safety officer for opening and closing the door meets the second safety guarantee condition, an identification result corresponding to the airtightness level that meets the current airtightness evaluation information of the fire door is obtained; If the static state picture information of the fire door does not meet the first safety guarantee condition or the habitual behavior information of the safety officer for opening and closing the door does not meet the second safety guarantee condition, an identification result corresponding to the airtightness level that does not meet the current airtightness evaluation information of the fire door is obtained.

4. The fire prevention boundary monitoring method based on state discrimination according to claim 1, characterized in that Parsing the fire door status review information according to the preset fire prevention level rules for enclosed spaces to obtain a fire door airtight control strategy corresponding to the fire door status review information includes: Pairing and sorting the current status confirmation information of the fire door in the fire door status review information according to the current status confirmation information of the fire door in the fire prevention level rules for enclosed spaces to obtain multiple approximate confirmation information pairs; Comparing and judging the two current status confirmation information of the fire door included in each approximate confirmation information pair to obtain the fire door status evolution information of each approximate confirmation information pair; Judging whether the approximate confirmation comparison information matches any parsing strategy in the fire prevention level rules for enclosed spaces; If the fire door status evolution information matches any parsing strategy, parsing the fire door status evolution information and the fire door status review information according to the matching parsing strategy to obtain a fire door airtight control strategy including adjustment parameters.

5. The fire prevention boundary monitoring method based on status discrimination according to claim 4, characterized in that Parsing the fire door status evolution information and the fire door status review information according to the matching parsing strategy to obtain a fire door airtight control strategy including adjustment parameters includes: Determining the fire door movement control parameter corresponding to the fire door status evolution information according to the direction determination rule in the parsing strategy; Determining the fire door rotation closing angular velocity parameter corresponding to the fire door status evolution information according to the fire risk assessment rule in the parsing strategy; Determining the fire door movement acceleration control parameter corresponding to the fire door status evolution information according to the distance adjustment rule in the parsing strategy; Combining the fire door movement control parameter, the fire door rotation closing angular velocity parameter, and the fire door movement acceleration control parameter to obtain the fire door airtight control strategy.

6. The fire prevention boundary monitoring method based on state discrimination according to claim 1, characterized in that Generating a corresponding control instruction according to the fire door airtight control strategy and sending it to the fire door remote controller and the fire door airtightness regulator to control the fire door includes: Generating a corresponding fire door accelerated closing instruction according to the fire door movement control parameter and the fire door rotation closing angular velocity parameter in the fire door airtight control strategy and sending it to the fire door remote controller; Generating a corresponding fire door control instruction according to the fire door movement control parameter and the fire door movement acceleration control parameter in the fire door airtight control strategy and sending it to the fire door airtightness regulator.

7. The fire prevention boundary monitoring method based on state discrimination according to claim 6, characterized in that, Generating a corresponding fire door control instruction according to the fire door movement control parameter and the fire door movement acceleration control parameter in the fire door airtight control strategy and sending it to the fire door airtightness regulator includes: Generate a fire door movement deceleration control instruction according to the displacement direction parameter in the fire door movement control parameter and the horizontal displacement distance in the fire door movement control parameter, and send it to the fire door positive rotation adjustment component; Generate a sealing enhancement instruction according to the rotation direction parameter in the fire door movement control parameter and the angular velocity change information in the fire door movement control parameter, and send it to the fire door sealing enhancement component.

8. A fire prevention boundary monitoring device based on state discrimination, characterized in that, The device includes a fire prevention boundary monitoring and control terminal and a fire prevention state discrimination algorithm operation terminal. The fire prevention boundary monitoring and control terminal is communicatively connected to an image receiver, an image analysis processor, a fire door remote controller, and a fire door sealing regulator arranged within the fire prevention monitoring space range respectively. The fire prevention state discrimination algorithm operation terminal is interactively communicatively connected to the fire prevention boundary monitoring and control terminal and provides algorithm operation support. The fire prevention boundary monitoring device based on state discrimination applies the fire prevention boundary monitoring method based on state discrimination as described in any one of claims 1-7. The fire prevention boundary monitoring device based on state discrimination includes each unit configured within the fire prevention boundary monitoring and control terminal: A first image information acquisition unit, configured to acquire the fire door static state picture information collected by the image collector, and determine whether the fire door static state picture information meets the preset warning display condition; A second image information acquisition unit, configured to, if the fire door static state picture information meets the warning display condition, acquire the fire door state review information obtained by the image analysis processor through review and comparison processing of the fire door static state picture information; An instruction generation unit, configured to generate a fire door pre-adjustment instruction according to the fire door state review information; An identification unit, configured to identify whether the fire door pre-adjustment instruction conforms to the sealing level corresponding to the pre-stored fire door current sealing degree evaluation information in the fire prevention boundary information memory, so as to obtain a corresponding identification result; An adjustment strategy acquisition unit, configured to, if the identification result does not conform to the sealing level corresponding to the fire door current sealing degree evaluation information, analyze the fire door state review information according to the preset fire prevention level rules for the sealed space, so as to obtain a fire door sealing control strategy corresponding to the fire door state review information; A control instruction sending unit, configured to generate a corresponding control instruction according to the fire door sealing control strategy and send it to the fire door remote controller and the fire door sealing regulator, so as to control the fire door.

9. The fire prevention boundary monitoring device based on state discrimination according to claim 8, characterized in that, The device further includes each unit configured within the fire prevention state discrimination algorithm operation terminal: A safety value judgment unit, configured to judge whether any identification standard value in the fire door static state picture information is less than the error safety value set in the warning display condition; A warning level determination unit, configured to, if any of the identification standard values is less than the set error safety value, determine that the fire door static state picture information meets the immediate warning condition in the warning display condition; A preliminary warning unit is configured to determine that the still state screen information of the fire door meets the condition of delaying an alarm in the warning display conditions if each of the recognition standard values in the still state screen information of the fire door is not less than the error safety value, and generate preliminary warning information.

10. A computer device, characterized in that, The computer device includes a memory and a processor. A computer program is stored on the memory. When the processor executes the computer program, the method according to any one of claims 1-7 is implemented.

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