Fire-fighting monitoring method and device, storage medium and program product

Abstract

The invention provides a fire-fighting monitoring method and device, a storage medium and a program product. The method comprises the following steps: taking at least one area which meets a first smoke alarm requirement and is confirmed according to smoke sensing information as a to-be-confirmed area; judging whether the area meets a second smoke alarm requirement or not according to the personnel monitoring information and smoke sensing data and time data in the area acquired within a preset time length; and taking the to-be-confirmed area meeting the second smoke alarm requirement as a fire-fighting target area, sending the smoke sensing data, the area label and the time data corresponding to the fire-fighting target area to a cloud server, and sending fire-fighting evacuation prompt information to user equipment arranged in the fire-fighting target area through the cloud server. According to the technical scheme, the target building is divided into a plurality of areas, and the personnel evacuation efficiency of each fire-fighting target area in the target building is improved through combination of hierarchical smoke alarm requirements and personnel monitoring information for each area.

Description

Technical Field

[0001] The present application relates to the technical field of fire monitoring, and in particular, to a fire monitoring method, device, storage medium, and program product. Background Art

[0002] Existing smoke sensor monitoring systems are used for fire monitoring, with problems such as single monitoring means, easy false alarms and missed alarms, and lack of effective perception and guidance for personnel during a fire, resulting in low efficiency of fire monitoring and difficulty in meeting the fire warning and rescue requirements of target buildings.

[0003] Therefore, there is an urgent need to provide a fire monitoring method, device, storage medium, and program product to improve the accuracy and reliability of matching and selection. Summary of the Invention

[0004] To overcome the above deficiencies, the present application provides a fire monitoring method, device, storage medium, and program product.

[0005] The objectives of the present application are achieved by the following technical solutions:

[0006] In a first aspect, the present application provides a fire monitoring method, which is applied to a local server and includes:

[0007] Using a smoke sensor acquisition module to obtain smoke sensor information in real time, where the smoke sensor information includes smoke sensor data, area labels, and time data of different areas of a target building;

[0008] Regarding at least one area that meets the first smoke alarm requirement confirmed according to the smoke sensor information as a to-be-confirmed area;

[0009] For any to-be-confirmed area, using a human perception sensor set in the area to obtain personnel monitoring information within a predetermined time period; and judging whether the area meets the second smoke alarm requirement according to the personnel monitoring information, the smoke sensor data, and the time data in the area obtained within the predetermined time period, where the second smoke alarm requirement is higher than the first smoke alarm requirement;

[0010] Regarding the to-be-confirmed area that meets the second smoke alarm requirement as a fire target area, sending the smoke sensor data, area label, and time data corresponding to the fire target area to a cloud server, and sending a fire evacuation prompt message to a user device set in the fire target area through the cloud server.

[0011] The beneficial effects of this technical solution are as follows. By setting two levels of judgment conditions, namely the first smoke alarm requirement and the second smoke alarm requirement, and combining with personnel monitoring information, this application can effectively reduce false alarms caused by environmental interference (such as cooking fumes, dust, etc.), and improve the accuracy of alarms. Through the combination of smoke sensor data and area tags, the specific area where a fire occurs can be quickly located, providing accurate fire location information and shortening the response time. By sending evacuation prompt information to user devices through the cloud server, personnel within the area can be notified in a timely manner to evacuate, avoiding casualties caused by untimely information transmission. Uploading the smoke sensor data to the cloud server facilitates remote monitoring and analysis of historical data, helping managers optimize fire protection strategies and improve the overall efficiency of the fire protection system.

[0012] In summary, the fire monitoring method provided by this application divides the target building into multiple areas. For each area, through the combination of hierarchical smoke alarm requirements and personnel monitoring information, accurate judgment and rapid response to fire risks are achieved. At the same time, the false alarm rate is reduced, the personnel evacuation efficiency of each fire protection target area in the target building is improved, and the problems existing in the related technologies, such as single monitoring means, easy false alarms and missed alarms, lack of effective perception and guidance for personnel in case of fire, and low fire protection monitoring efficiency, are effectively solved.

[0013] Preferably, judging whether the area meets the second smoke alarm requirement according to the personnel monitoring information and the smoke sensor data and time data obtained within a predetermined time length includes:

[0014] Obtaining a judgment criterion according to the personnel monitoring information;

[0015] Judging the smoke sensor data and time data obtained within the predetermined time length according to the judgment criterion to obtain a judgment result, and the judgment result is used to indicate whether the area meets the second smoke alarm requirement.

[0016] The beneficial effects of this technical solution are as follows. By dynamically adjusting the judgment criterion, the fire risk can be judged more accurately according to the changes in personnel monitoring information and smoke sensor data. The dynamic judgment mechanism can effectively distinguish real fires from environmental interference (such as cooking fumes, dust, etc.), reduce false alarms, and avoid waste of fire protection resources.

[0017] Preferably, obtaining the judgment criterion according to the personnel monitoring information includes:

[0018] Obtaining the number of personnel and the action status of the personnel within the area according to the personnel monitoring information;

[0019] Obtain the correspondence between the number of people, the movement status of people, and the preset judgment information; obtain the number of people and the movement status of people in the area according to the personnel monitoring information, and obtain the corresponding preset judgment label and judgment strategy from the correspondence, and use them as judgment criteria.

[0020] The beneficial effect of this technical solution is that by dynamically obtaining the judgment criteria, it is possible to more accurately judge the fire risk according to the changes in the number of people and the movement status, reducing false alarms and missed alarms. This solution can adapt to the fire monitoring requirements in different scenarios, that is, whether it is a crowded shopping mall, office, or an unmanned warehouse, basement, it can dynamically obtain the corresponding judgment criteria according to the actual situation to ensure the accuracy and reliability of the alarm.

[0021] Preferably, the method for judging whether the area meets the first smoke alarm requirement includes: according to the obtained smoke sensor information, confirm whether the number of smoke sensors in the area where the smoke concentration meets the first smoke standard meets the preset number, and if it meets, it is considered to meet the first smoke alarm requirement.

[0022] The beneficial effect of this technical solution is that by combining the smoke concentration and the number of sensors for judgment, it is possible to more accurately identify the fire risk and reduce false alarms caused by single sensor failures or environmental interference. Through the multi-sensor verification mechanism, the reliability of the alarm can be improved. Even if a certain sensor fails or is interfered, as long as the data of other sensors still meet the requirements, the fire risk can still be accurately judged.

[0023] Preferably, the step of judging the smoke sensor data and time data in the area obtained within a preset time period according to the judgment criteria to obtain a judgment result includes:

[0024] According to the smoke sensor data and time data in the area obtained within a preset time period, obtain a smoke sensor change curve;

[0025] Obtain multiple historical data under the historical judgment label corresponding to the preset judgment label from the historical dataset. Each historical data includes a set of historical curves and historical results; the historical results include no need to alarm and need to alarm;

[0026] Take the historical result corresponding to the historical curve with the highest similarity to the smoke sensor change curve as the judgment result.

[0027] The beneficial effects of this technical solution are as follows: compare the current smoke sensor change curve with the selected historical curves, and calculate the similarity between each historical curve and the current curve. The similarity can be calculated by various algorithms, such as Euclidean distance, etc., and this application does not limit the selection thereof. Find the historical curve with the highest similarity, and use the corresponding historical result as the judgment result for the current situation. It can be considered that if the judgment result is that an alarm needs to be triggered, the corresponding alarm mechanism is triggered; if it is that no alarm is needed, it is considered that the current situation may be a false alarm or a non-fire event, and no subsequent alarm mechanism is carried out.

[0028] In a second aspect, this application also provides a fire monitoring method, which is applied to a cloud server and includes: obtaining smoke sensor data, area labels, and time data of at least one fire target area of a target building sent by a local server as monitoring push information;

[0029] According to the spatial topology information of the target building and the monitoring push information, generate fire evacuation prompt information and send it to the user equipment for instructing the personnel in the fire target area to evacuate; the spatial topology information is used to indicate the positions of different areas of the target building, the positions of exits, the passage layout, and the distribution of evacuation stairs;

[0030] Among them, the acquisition method of the target area includes: the local server uses a smoke sensor acquisition module to obtain smoke sensor information in real time, and the smoke sensor information includes smoke sensor data, area labels, and time data of different areas of the target building; use at least one area that meets the first smoke alarm requirement confirmed according to the smoke sensor information as the area to be confirmed; for any area to be confirmed, use a human perception sensor set in the area to obtain personnel monitoring information within a predetermined time period; and according to the personnel monitoring information, the smoke sensor data, and the time data in the area obtained within the predetermined time period, judge whether the area meets the second smoke alarm requirement, and the second smoke alarm requirement is higher than the first smoke alarm requirement; use the area to be confirmed that meets the second smoke alarm requirement as the fire target area.

[0031] Preferably, the user equipment includes speakers arranged in each area of the target building; the generating of the fire evacuation prompt information according to the spatial topology information of the target building and the monitoring push information includes:

[0032] According to the spatial topology information of the target building and the monitoring push information, confirm the evacuation route of the personnel in the fire target area;

[0033] Generate fire evacuation prompt information, and the fire evacuation prompt information is used to control the speakers of each user equipment in the evacuation route of the personnel to give voice prompts for evacuation instructions.

[0034] In a third aspect, the present application also provides a fire monitoring device configured in a local server, including:

[0035] An information acquisition module, configured to use a smoke sensor acquisition module to acquire smoke sensor information in real time, where the smoke sensor information includes smoke sensor data, area labels, and time data of different areas of a target building;

[0036] An area confirmation module, configured to use at least one area that meets the first smoke alarm requirement confirmed according to the smoke sensor information as a to-be-confirmed area;

[0037] A condition judgment module, configured to, for any to-be-confirmed area, acquire personnel monitoring information by using a human perception sensor arranged in the area within a preset time period; and judge whether the area meets the second smoke alarm requirement according to the personnel monitoring information, the smoke sensor data, and the time data in the area acquired within the preset time period, where the second smoke alarm requirement is higher than the first smoke alarm requirement;

[0038] A data transmission module, configured to use the to-be-confirmed area that meets the second smoke alarm requirement as a fire target area, send the smoke sensor data, area label, and time data corresponding to the fire target area to a cloud server, and send a fire evacuation prompt message to a user device arranged in the fire target area through the cloud server.

[0039] In a fourth aspect, the present application also provides a computer-readable storage medium storing a computer program, where when the computer program is executed by at least one processor, the steps of the method according to any one of the first aspect and the second aspect of the claims are implemented.

[0040] In a fifth aspect, the present application also provides a computer program product including a computer program, where when the computer program is executed by at least one processor, the steps of the method according to any one of the first aspect and the second aspect are implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The present application will be further described below in conjunction with the drawings and embodiments.

[0042] Figure 1 is a flowchart of a fire monitoring method provided by an embodiment of the present application.

[0043] Figure 2 is a flowchart of a process for judging the second smoke alarm requirement provided by an embodiment of the present application.

[0044] Figure 3 is a flowchart of a process for obtaining a judgment criterion provided by an embodiment of the present application.

[0045] Figure 4It is a schematic flowchart of a process for obtaining a judgment result provided by an embodiment of the present application. Detailed implementation manners

[0046] Next, in combination with the accompanying drawings and specific implementation manners, the present application will be further described. It should be noted that, on the premise of no conflict, the following-described embodiments or technical features can be arbitrarily combined to form new embodiments. The following will illustrate the implementation procedures of the present application with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in this specification. The present application can also be implemented or applied through other different specific implementation procedures. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present application. It should be understood that the preferred embodiments are only for illustrating the present application, rather than for limiting the protection scope of the present application.

[0047] For the existing fire monitoring method, taking an intelligent early warning system based on remote smoke detection disclosed in CN113593170A as an example, the intelligent early warning system includes: a monitoring module for monitoring a target area to obtain a video stream, a smoke detection module for detecting and obtaining smoke information of the target area, a processing module for judging whether a fire occurs in the target area according to the smoke information, and when a fire occurs, positioning a first area where the fire occurs according to the video stream, and a communication module for transmitting the positioning result of the first area to a specified terminal for display, so as to realize the purpose of remote monitoring by using video monitoring and smoke detectors, and provide a fire early warning device with comprehensive early warning and high intelligence level.

[0048] However, it also focuses on fire monitoring of a single target area of a target building. For a target building that can be divided into multiple areas in a complex environment, the fire risks and personnel situations in different areas may vary greatly, and it cannot adjust the monitoring strategy according to the dynamic changes of the areas (such as personnel situations, different area functions, etc.). To solve the above problems, the present application proposes a fire monitoring method, device, storage medium and program product, aiming to achieve efficient fire monitoring of each area of a target building in a complex environment through multi-area monitoring and combining personnel monitoring information. The method will be described first below, and then the equipment and the like will be described.

[0049] Method Embodiment 1.

[0050] See Figure 1 , Figure 1 It is a schematic flowchart of a fire monitoring method provided by an embodiment of the present application.

[0051] An embodiment of the present application provides a fire monitoring method, which is applied to a local server and includes:

[0052] S101. Use a smoke sensor acquisition module to obtain smoke sensor information in real time. The smoke sensor information includes smoke sensor data, area tags, and time data for different areas of the target building.

[0053] By this step, smoke sensor information is collected in real time. Specifically, through the smoke sensor acquisition module, the local server can obtain smoke sensor data (such as smoke concentration, temperature, etc.) for different areas within the target building in real time, along with area tags (used to locate specific areas and area types, such as kitchen area, storage area, office area, exhibition area type, etc.) and time data (the time stamp recording the smoke sensor data).

[0054] S102. Take at least one area that meets the first smoke alarm requirement confirmed according to the smoke sensor information as the area to be confirmed.

[0055] By this step, the areas to be confirmed are initially screened. According to the preset first smoke alarm requirement (such as the smoke concentration reaching a certain threshold), areas that meet this requirement are screened out from all the smoke sensor data and marked as areas to be confirmed. The areas to be confirmed may have a fire risk.

[0056] S103. For any area to be confirmed, use a human presence sensor set in the area to obtain human monitoring information within a preset time period; and judge whether the area meets the second smoke alarm requirement according to the human monitoring information, the smoke sensor data, and the time data obtained within the preset time period. The second smoke alarm requirement is higher than the first smoke alarm requirement.

[0057] In this step, human monitoring is combined with smoke sensor data. For each area to be confirmed, within a preset time period (such as within 3 minutes or 4 minutes), human monitoring information (such as whether there are people in the area, the activity status of people, etc.) is obtained through a human presence sensor (such as an infrared sensor or a camera) set in the area.

[0058] Then, the fire risk is comprehensively judged. Combining the human monitoring information, the smoke sensor data (such as whether the smoke concentration is continuously rising), and the time data, it is judged whether the area meets the second smoke alarm requirement. The second smoke alarm requirement here is more stringent than the first smoke alarm requirement (for example, a higher smoke concentration threshold, or a further judgment of obtaining a judgment criterion based on the human monitoring information and judging the smoke sensor data and time data obtained within the preset time period according to the judgment criterion to obtain a judgment result).

[0059] By introducing human monitoring information and new judgment conditions, it is further confirmed whether a fire actually occurs, avoiding false alarms caused by short-term anomalies in smoke sensor data (such as smoke generated by cooking in the kitchen).

[0060] In a specific application, different area types indicated by area tags can correspond to different preset time durations, and areas of the same area type correspond to the same preset time duration.

[0061] S104. Use the area to be confirmed that meets the second smoke alarm requirement as the fire target area, send the smoke sensor data, area tag, and time data corresponding to the fire target area to the cloud server, and send a fire evacuation prompt message to the user device set in the fire target area through the cloud server.

[0062] This step is used to determine the fire target area. If a certain area to be confirmed meets the second smoke alarm requirement, it is marked as the "fire target area". Send the smoke sensor data, area tag, and time data of the fire target area to the cloud server. The cloud server sends a fire evacuation prompt message (such as "Please evacuate to a safe area immediately") to the user device (such as a network-enabled speaker, smart terminal, etc.) in the fire target area according to these data to guide the evacuation of personnel.

[0063] Thus, by setting two levels of judgment conditions, namely the first smoke alarm requirement and the second smoke alarm requirement, and combining the personnel monitoring information, this application can effectively reduce false alarms caused by environmental interference (such as cooking smoke, dust, etc.) and improve the accuracy of alarms. By combining the smoke sensor data and area tags, the specific area where the fire occurs can be quickly located, providing accurate fire location information and shortening the response time. By sending evacuation prompt messages to user devices through the cloud server, personnel in the area can be notified to evacuate in a timely manner, avoiding casualties caused by untimely information transmission. Uploading the smoke sensor data to the cloud server facilitates remote monitoring and analysis of historical data, helping managers optimize fire protection strategies and improve the overall efficiency of the fire protection system.

[0064] In summary, the fire monitoring method provided by this application divides the target building into multiple areas. For each area, through the combination of hierarchical smoke alarm requirements and personnel monitoring information, accurate judgment and rapid response to fire risks are achieved. At the same time, the false alarm rate is reduced, the personnel evacuation efficiency of each fire target area in the target building is improved, and the problems existing in the related technology, such as single monitoring means, easy false alarms and missed alarms, lack of effective perception and guidance for personnel in case of fire, and low fire monitoring efficiency, are effectively solved.

[0065] See Figure 2 , Figure 2 which is a schematic flowchart of a process for judging the second smoke alarm requirement provided by an embodiment of this application.

[0066] In some embodiments, the judging whether the area meets the second smoke alarm requirement (S103) according to the personnel monitoring information and the smoke sensor data and time data obtained within the preset time duration in the area includes:

[0067] S201. Obtain a judgment criterion according to the personnel monitoring information;

[0068] S202. Judge the smoke sensor data and time data within a predetermined duration in the area according to the judgment criterion to obtain a judgment result, where the judgment result is used to indicate whether the area meets the second smoke alarm requirement.

[0069] In this embodiment, a judgment criterion is generated based on personnel monitoring information, that is, a dynamic method for obtaining a judgment criterion is provided. Considering that the presence and activity status of personnel in a fire risk area will directly affect the degree of fire danger and the urgency of alarm, the personnel monitoring information (such as whether there are people in the area, the number of personnel, the action status, etc.) obtained through personnel perception sensors (such as infrared sensors, cameras, etc.) is used to dynamically select a judgment criterion suitable for the current scenario.

[0070] Then, a judgment is made by combining the smoke sensor data and time data. The smoke sensor data (such as smoke concentration) in the area will be continuously obtained within a predetermined duration (such as several minutes), and analyzed in combination with the time data (such as the change rate of smoke concentration over time). According to the dynamically generated judgment criterion, a comprehensive evaluation of the smoke sensor data and time data is performed to determine whether the area meets the second smoke alarm requirement. For example, if the judgment criterion requires that "the smoke concentration continuously rises within 1 minute and exceeds a certain threshold", the time series of the smoke sensor data will be verified to confirm whether the condition is met. In this case, by combining the personnel monitoring information with the smoke sensor data, the fire risk can be judged more accurately, avoiding false alarms caused by environmental interference (such as kitchen cooking smoke, dust, etc.) or short-term smoke anomalies in unoccupied areas.

[0071] Therefore, by dynamically adjusting the judgment criterion, the fire risk can be judged more accurately according to the changes in personnel monitoring information and smoke sensor data. The dynamic judgment mechanism can effectively distinguish real fires from environmental interference (such as cooking smoke, dust, etc.), reduce false alarms, and avoid waste of fire protection resources.

[0072] See Figure 3 , Figure 3 is a schematic flowchart of a process for obtaining a judgment criterion provided by an embodiment of the present application.

[0073] In some embodiments, obtaining the judgment criterion according to the personnel monitoring information (i.e., S201) includes:

[0074] S301. Obtain the number of personnel in the area and the action status of the personnel according to the personnel monitoring information;

[0075] The movement status of people in the area can be judged by sensors, such as whether people are evacuating in an orderly manner (i.e., leaving the area) or moving normally within the area (i.e., not leaving the area).

[0076] S302, obtain the correspondence between the number of people, the movement status of people, and the preset judgment information; obtain the number of people and the movement status of people in the area according to the personnel monitoring information, and obtain the corresponding preset judgment label and judgment strategy from the correspondence, and use them as the judgment criteria.

[0077] It can be considered that the correspondence between the number of people, the movement status of people, and the preset judgment information is pre-stored in the local server, and the correspondence can be set according to historical data, fire simulation experiments, or expert experience. For example, for areas with a large number of people and chaotic movement status, the preset judgment information may require a higher rate of change of smoke concentration or a lower smoke concentration threshold.

[0078] According to the currently monitored number of people and movement status, extract the matching preset judgment label and judgment strategy from the preset correspondence, and use this information as the judgment criteria. Among them, the judgment strategy defines how to comprehensively judge by combining data such as smoke sensor data and time data, such as whether to consider the rate of change of smoke concentration and whether to combine data from multiple sensors.

[0079] Thus, by dynamically obtaining the judgment criteria, it is possible to more accurately judge the fire risk according to the changes in the number of people and the movement status, reducing false alarms and missed alarms. This solution can adapt to the fire monitoring requirements in different scenarios, that is, whether it is a crowded shopping mall, office, or an unmanned warehouse, basement, it can dynamically obtain the corresponding judgment criteria according to the actual situation to ensure the accuracy and reliability of the alarm.

[0080] In some embodiments, the method for determining whether the area meets the first smoke alarm requirement includes: according to the obtained smoke sensor information, confirm whether the number of smoke sensors in the area where the smoke concentration meets the first smoke standard meets the preset number, and if so, it is considered that the first smoke alarm requirement is met.

[0081] The smoke sensor information of different areas in the target building is obtained in real time through the smoke sensor acquisition module, and this information includes smoke concentration, area label, and time data. According to the obtained smoke sensor information, check whether the smoke concentration in each area meets the preset first smoke standard. The first smoke standard is, for example, a threshold of smoke concentration, which is used to preliminarily judge whether there is a fire risk.

[0082] For those sensors with smoke concentration meeting the first smoke standard, further count the number of smoke sensors meeting the standard within the area. If the number of smoke sensors meeting the standard reaches or exceeds the preset number or proportion, it is considered that the area meets the first smoke alarm requirement.

[0083] Thus, by combining the smoke concentration and the number of sensors for judgment, the fire risk can be identified more accurately, reducing false alarms caused by single sensor failures or environmental interferences (such as cooking smoke, dust, etc.). Through the multi-sensor verification mechanism, the reliability of the alarm can be improved. Even if a certain sensor fails or is interfered with, as long as the data of other sensors still meet the requirements, the fire risk can still be accurately judged.

[0084] See Figure 4 , Figure 4 which is a schematic flowchart of a process for obtaining a judgment result provided by an embodiment of the present application.

[0085] In some embodiments, the judging the smoke sensor data and time data within the area obtained within a preset time period according to the judgment criteria to obtain a judgment result includes:

[0086] S401, obtaining a smoke sensor change curve according to the smoke sensor data and time data within the area obtained within a preset time period;

[0087] Generating a smoke sensor change curve according to the smoke sensor data and time data within the area obtained within a preset time period, which is used to reflect the change trend of the smoke concentration over time. For example, the curve may show that the smoke concentration rises sharply, remains stable, or decreases slowly within a certain time period.

[0088] S402, obtaining a plurality of historical data under the historical judgment label corresponding to the preset judgment label from the historical dataset, each historical data including a set of historical curves and historical results; the historical results include no alarm required and alarm required;

[0089] The historical dataset is pre-stored in the local server, which contains data of multiple historical events. Each historical data includes a set of historical curves (reflecting the change trend of the smoke concentration in past fire events) and the corresponding historical results (such as no alarm required or alarm required. No alarm required means not meeting the second smoke alarm requirement, and alarm required means meeting the second smoke alarm requirement). As an example, when the historical judgment label indicates a high population density and the area type is a shopping mall area, the second smoke alarm requirement is met when the historical curve rises sharply or remains at a high level and rises slightly. When the historical judgment label indicates a low population density and the area type is a storage area, the second smoke alarm requirement is met when the historical curve rises sharply.

[0090] When the tags match, according to the current preset judgment tags (used to indicate area types, personnel density, etc.), historical data that matches them is filtered out from the historical dataset. For example, if the current area is a shopping mall area, historical data related to the shopping mall area will be filtered out.

[0091] S403, use the historical result corresponding to the historical curve with the highest similarity to the smoke sensor change curve as the judgment result.

[0092] Compare the current smoke sensor change curve with the filtered historical curves, and calculate the similarity between each historical curve and the current curve. The similarity can be calculated by various algorithms, such as Euclidean distance, etc., and this application does not limit its selection. Find the historical curve with the highest similarity, and use its corresponding historical result as the judgment result for the current situation. It can be considered that if the judgment result is that an alarm is required, the corresponding alarm mechanism is triggered; if it is that an alarm is not required, it is considered that the current situation may be a false alarm or a non-fire event, and no subsequent alarm mechanism is carried out.

[0093] As an example, a fire monitoring method is provided. The method is applied to a local server and includes:

[0094] Use a smoke sensor acquisition module to obtain smoke sensor information in real time. The smoke sensor information includes smoke sensor data, area tags, and time data of different areas of the target building;

[0095] According to the obtained smoke sensor information, confirm whether the number of smoke sensors in the area where the smoke concentration meets the first smoke standard meets the preset number. When it is met, it is considered that the first smoke alarm requirement is met; use at least one area that meets the first smoke alarm requirement confirmed according to the smoke sensor information as the area to be confirmed;

[0096] For any area to be confirmed, obtain personnel monitoring information using a human perception sensor set in the area within a preset time period; and obtain the number of personnel and the personnel action status in the area according to the personnel monitoring information; obtain the corresponding relationship between the number of personnel, the personnel action status, and the preset judgment information; obtain the number of personnel and the personnel action status in the area according to the personnel monitoring information, and obtain the corresponding preset judgment tag and judgment strategy from the corresponding relationship as the judgment standard;

[0097] Obtain a smoke sensor change curve according to the smoke sensor data and time data in the area obtained within the preset time period;

[0098] Obtain multiple historical data under the historical judgment tag corresponding to the preset judgment tag from the historical dataset. Each historical data includes a set of historical curves and historical results; the historical results include no alarm required and alarm required;

[0099] Use the historical result corresponding to the historical curve with the highest similarity to the smoke sensor change curve as the judgment result, where the judgment result is used to indicate whether the area meets the second smoke alarm requirement, and the second smoke alarm requirement is higher than the first smoke alarm requirement;

[0100] Use the area to be confirmed that meets the second smoke alarm requirement as the fire target area, send the smoke sensor data, area label, and time data corresponding to the fire target area to the cloud server, and send a fire evacuation prompt message to the user device set in the fire target area through the cloud server.

[0101] In this technical solution, the local server obtains the smoke sensor data, area label, and time data of different areas in the target building in real time through the smoke sensor acquisition module. According to the obtained smoke sensor information, check whether the number of smoke sensors whose smoke concentration in each area meets the first smoke standard reaches the preset number. If the condition is met, it is considered that the area meets the first smoke alarm requirement, and it is marked as the area to be confirmed. For each area to be confirmed, obtain the personnel monitoring information within a preset time period through the human perception sensor, including the number of personnel and the action status in the area. According to the number of personnel and the action status, obtain the matching judgment label and judgment strategy from the preset corresponding relationship as the final judgment criterion. At the same time, generate a smoke sensor change curve based on the smoke sensor data and time data obtained within the preset time period to reflect the change trend of the smoke concentration over time. Screen out multiple historical data that match the current judgment label from the historical dataset, calculate the similarity between the current smoke sensor change curve and the historical curve, and find the historical result corresponding to the historical curve with the highest similarity. If the historical result is that an alarm is required, it is considered that the area meets the second smoke alarm requirement, and it is marked as the fire target area. Send the smoke sensor data, area label, and time data of the fire target area to the cloud server, and the cloud server generates a fire evacuation prompt message and issues an evacuation instruction to the personnel through the user device (such as a speaker).

[0102] Thus, through the judgment mechanism of two layers of smoke alarm requirements, combined with personnel monitoring information and historical data comparison, false alarms caused by environmental interference or short-term anomalies are effectively reduced. The judgment criterion can be dynamically adjusted according to the number of personnel and the action status to adapt to different scenario requirements and further improve the alarm accuracy. Generate an evacuation prompt message through the cloud server and issue a voice prompt through the user device to help personnel evacuate quickly. Only the data of the confirmed fire target area will be uploaded to the cloud server, saving bandwidth and server load.

[0103] In summary, through the multi-layer screening mechanism, combination of personnel monitoring information, and comparison of historical data, the fire monitoring method realizes more accurate and intelligent fire judgment and alarm.

[0104] Method Embodiment Two.

[0105] This embodiment provides a fire monitoring method, which is applied to a cloud server and includes:

[0106] Obtain the smoke sensor data, area labels, and time data of at least one fire target area of a target building sent by a local server and use them as monitoring push information;

[0107] Generate fire evacuation prompt information according to the spatial topology information of the target building and the monitoring push information, and send it to a user device to indicate the evacuation of personnel in the fire target area; the spatial topology information is used to indicate the locations of different areas of the target building, the locations of exits, the channel layout, and the distribution of evacuation stairs. The spatial topology information refers to the spatial relationship and layout information between different areas in the target building, and is used to describe the structure of the building and the connection method of each area.

[0108] Among them, the acquisition method of the target area includes: the local server uses a smoke sensor acquisition module to obtain smoke sensor information in real time, and the smoke sensor information includes the smoke sensor data, area labels, and time data of different areas of the target building; at least one area that meets the first smoke alarm requirement confirmed according to the smoke sensor information is used as a to-be-confirmed area; for any to-be-confirmed area, obtain personnel monitoring information using a human perception sensor set in the area within a predetermined time period; and judge whether the area meets the second smoke alarm requirement according to the personnel monitoring information, the smoke sensor data, and the time data in the area obtained within the predetermined time period, and the second smoke alarm requirement is higher than the first smoke alarm requirement; the to-be-confirmed area that meets the second smoke alarm requirement is used as the fire target area.

[0109] By obtaining the smoke sensor data, area labels, and time data of different areas in the target building in real time through the local server, the specific area where the fire occurs can be quickly and accurately located, the response time can be shortened, and the subsequent fire extinguishing efficiency can be improved. By adopting a two-layer smoke alarm requirement judgment mechanism, first screen out the to-be-confirmed areas according to the first smoke alarm requirement, and then further confirm them in combination with the personnel monitoring information and the more stringent second smoke alarm requirement, the fire risk can be dynamically judged, effectively reducing false alarms caused by environmental interference or short-term anomalies, and improving the accuracy and reliability of the alarm. The cloud server generates fire evacuation prompt information according to the spatial topology information of the target building and the monitoring push information, and sends it to the user device, which can help the personnel in the fire target area quickly understand the evacuation route and the location of the exit, evacuate in an orderly manner, avoid congestion and chaos, and improve the evacuation efficiency. By adopting a two-layer smoke alarm requirement judgment mechanism, the confirmed data will only be uploaded to the cloud server, enabling the cloud server to concentrate limited computing resources and storage resources on processing the data of the fire target areas that really need attention, further analyzing, storing, and managing these data, improving the utilization efficiency of resources, and ensuring that emergency handling can be carried out quickly and effectively in case of a fire.

[0110] Among them, the local server refers to a physical server deployed in the user's local environment of the target building, which is used to provide computing, storage, and network services. The cloud server refers to a server provided by an operator through a network. The cloud server generates fire evacuation prompt information and sends it to the user device. It can first generate the fire evacuation prompt information and transmit it to the local server through remote communication, and then the local server sends it to the user device through the local network.

[0111] In some embodiments, the user device includes speakers arranged in various areas of the target building; generating the fire evacuation prompt information according to the spatial topology information of the target building and the monitored push information includes:

[0112] According to the spatial topology information of the target building and the monitored push information, confirm the evacuation route of the personnel in the fire target area;

[0113] Generate fire evacuation prompt information, and the fire evacuation prompt information is used to control each user device in the evacuation route of the personnel to give voice prompts for evacuation instructions.

[0114] Playing voice prompts through the speakers can provide evacuation guidance for personnel and improve the evacuation efficiency. At the same time, the cloud server automatically generates evacuation prompt information according to the spatial topology information and the monitored push information, reducing manual intervention and improving the automation level. It can also adjust the evacuation route and prompt content in real time according to the changes in the fire situation to ensure the accuracy and timeliness of the evacuation instructions. By arranging speakers in various areas of the building, it is ensured that the evacuation instructions can cover all the personnel in the area.

[0115] Device embodiment.

[0116] This embodiment provides a fire monitoring device configured in the local server, including:

[0117] An information acquisition module, which is used to use a smoke sensor acquisition module to acquire smoke sensor information in real time, and the smoke sensor information includes smoke sensor data, area labels, and time data of different areas of the target building;

[0118] An area confirmation module, which is used to use at least one area that meets the first smoke alarm requirement confirmed according to the smoke sensor information as the area to be confirmed;

[0119] A condition judgment module, which is used to, for any area to be confirmed, use a human perception sensor arranged in the area to acquire personnel monitoring information within a predetermined time period; and judge whether the area meets the second smoke alarm requirement according to the personnel monitoring information, the smoke sensor data, and the time data in the area acquired within the predetermined time period, and the second smoke alarm requirement is higher than the first smoke alarm requirement;

[0120] The data transmission module takes the area to be confirmed that meets the second smoke alarm requirement as the fire target area, sends the corresponding smoke sensor data, area label and time data of the fire target area to the cloud server, and sends a fire evacuation prompt message to the user device set in the fire target area through the cloud server.

[0121] In some embodiments, the condition judgment module includes:

[0122] A standard acquisition unit, configured to acquire a judgment standard according to the personnel monitoring information;

[0123] A result acquisition unit, configured to judge the smoke sensor data and time data in the area acquired within a predetermined time length according to the judgment standard, and obtain a judgment result, where the judgment result is used to indicate whether the area meets the second smoke alarm requirement.

[0124] In some embodiments, the standard acquisition unit includes:

[0125] A status acquisition subunit, configured to acquire the number of personnel and the action status of the personnel in the area according to the personnel monitoring information;

[0126] A standard acquisition subunit, configured to acquire the corresponding relationship between the number of personnel, the action status of the personnel and the preset judgment information; acquire the number of personnel and the action status of the personnel in the area according to the personnel monitoring information, and acquire the corresponding preset judgment label and judgment strategy from the corresponding relationship, and use them as the judgment standard.

[0127] In some embodiments, the method for determining whether an area meets the first smoke alarm requirement includes: according to the acquired smoke sensor information, confirming whether the number of smoke sensors in the area where the smoke concentration meets the first smoke standard meets the preset number, and if so, it is considered that the first smoke alarm requirement is met.

[0128] In some embodiments, the result acquisition unit includes:

[0129] A curve acquisition subunit, configured to acquire a smoke sensor change curve according to the smoke sensor data and time data in the area acquired within a predetermined time length;

[0130] A historical data acquisition subunit, configured to acquire multiple historical data under the corresponding historical judgment label corresponding to the preset judgment label from the historical data set, and each historical data includes a set of historical curves and historical results; the historical results include no alarm required and alarm required;

[0131] A judgment result acquisition subunit, configured to use the historical result corresponding to the historical curve with the highest similarity to the smoke sensor change curve as the judgment result.

[0132] Embodiment of the storage medium.

[0133] This embodiment provides a computer-readable storage medium, on which instructions are stored. When the instructions are executed by a processor, the processor is caused to implement any of the methods described in the method embodiments.

[0134] Program product embodiment.

[0135] This embodiment provides a computer program product, which includes a computer program. When the computer program is executed by at least one processor, the steps of any of the methods described in the method embodiments are implemented.

[0136] The computer program product can be a portable compact disc read-only memory (CD-ROM) and includes program code, and can run on a terminal device, such as a personal computer. However, the computer program product of the present application is not limited to this. The computer program product can adopt any combination of one or more computer-readable media.

[0137] In various embodiments of the specification of the present application, the magnitudes of the sequence numbers of the various processes do not mean the order of execution. The order of execution of the various processes should be determined by their functions and internal logics, and should not constitute any limitation to the implementation process of the present application.

[0138] The terms "first", "second", "third", etc. (if any) in the specification and claims of the present application and the accompanying drawings are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "corresponding to" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products, or devices.

[0139] This application is described from the perspectives of purpose of use, efficacy, progress, and novelty, and has met the functional enhancement and use requirements emphasized by the patent law. The above-mentioned description and accompanying drawings of this application are only preferred embodiments of this application, and do not limit this application thereby. Therefore, all those that are similar or identical to the structure, device, features, etc. of this application, that is, all equivalent replacements or modifications made according to the scope of the patent application of this application, shall fall within the scope of protection of the patent application of this application. It should be noted that in the embodiments of this application, "at least one" means one or more, and "a plurality" means two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone, where A and B can be singular or plural. The character " / " generally indicates that the associated objects before and after are in an "or" relationship. "At least one (item)" or similar expressions thereof refer to any combination of these items, including any combination of single item (item) or multiple items (items). For example, at least one (item) of a, b, or c can mean: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, and c can be single or multiple. It is worth noting that "at least one (item)" can also be interpreted as "one (item) or more items (items)".

[0140] The terms "first", "second", etc. in the description, claims, and above-mentioned accompanying drawings of this application are configured to distinguish similar objects and do not necessarily need to be configured to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances so that the embodiments of this application described here can be implemented in an order other than those illustrated or described here. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products, or devices.

[0141] This application is described from the perspectives of purpose of use, efficacy, progress, and novelty, and has met the functional enhancement and use requirements emphasized by the patent law. The above-mentioned description and accompanying drawings of this application are only preferred embodiments of this application, and do not limit this application thereby. Therefore, all those that are similar or identical to the structure, device, features, etc. of this application, that is, all equivalent replacements or modifications made according to the scope of the patent application of this application, shall fall within the scope of protection of the patent application of this application.

Claims

1. A fire monitoring method, characterized in that: The method is applied to a local server and includes: The smoke sensor acquisition module is used to obtain smoke sensor information in real time, wherein the smoke sensor information includes smoke sensor data, area labels and time data of different areas of the target building; taking at least one area meeting the first smoke alarm requirement confirmed according to the smoke sensing information as a to-be-confirmed area; For any area to be confirmed, human monitoring information is obtained by using a human sensing sensor installed in the area within a predetermined time period; and based on the human monitoring information and the smoke sensing data and time data in the area obtained within the predetermined time period, it is determined whether the area meets the second smoke alarm requirement, and the second smoke alarm requirement is higher than the first smoke alarm requirement; The unconfirmed area that meets the second smoke alarm requirement is used as the fire target area, the smoke sensor data, area label and time data corresponding to the fire target area are sent to the cloud server, and the fire evacuation prompt information is sent to the user device set in the fire target area through the cloud server.

2. The fire monitoring method according to claim 1, characterized in that: The determining whether the area meets the second smoke alarm requirement based on the personnel monitoring information and the smoke sensing data and time data in the area acquired within a predetermined period of time includes: Obtaining judgment criteria based on the personnel monitoring information; The smoke sensing data and time data in the area acquired within a predetermined period of time are judged according to the judgment standard to obtain a judgment result, and the judgment result is used to indicate whether the area meets the second smoke alarm requirement.

3. The fire monitoring method according to claim 2, characterized in that: The determination criteria obtained according to the personnel monitoring information include: Acquire the number of personnel and their action status in the area according to the personnel monitoring information; Obtain the corresponding relationship between the number of personnel, personnel action status and preset judgment information; According to the number of personnel and the action status of personnel in the area acquired by the personnel monitoring information, the corresponding preset judgment label and judgment strategy are obtained from the corresponding relationship and used as the judgment standard.

4. The fire monitoring method according to claim 3, characterized in that: The method of judging whether the area meets the first smoke alarm requirement includes: confirming whether the number of smoke sensors in the area where the smoke concentration meets the first smoke standard meets a preset number based on the acquired smoke information, and if so, it is considered that the first smoke alarm requirement is met.

5. The fire monitoring method according to claim 3, characterized in that: The smoke sensing data and time data in the area acquired within a predetermined time period are judged according to the judgment standard to obtain a judgment result, including: Obtain a smoke sensing change curve based on smoke sensing data and time data in the area obtained within a predetermined time period; Acquire multiple historical data under the historical judgment label corresponding to the preset judgment label from the historical data set, each historical data includes a set of historical curves and historical results; the historical results include no need for alarm and need for alarm; The historical result corresponding to the historical curve with the highest similarity to the smoke sensing change curve is used as the judgment result.

6. A fire monitoring method, characterized in that: The method is applied to a cloud server and includes: Obtain smoke sensor data, area label and time data of at least one fire target area of ​​the target building sent by the local server and use them as monitoring push information; Generate fire evacuation prompt information based on the spatial topology information of the target building and the monitoring push information and send it to the user device to instruct the evacuation of personnel in the fire target area; the spatial topology information is used to indicate the location and exit location of different areas of the target building, the channel layout and the distribution of evacuation stairs; Among them, the method for obtaining the target area includes: the local server uses the smoke sensor collection module to obtain smoke information in real time, and the smoke sensor information includes smoke sensor data, area labels and time data of different areas of the target building; at least one area that meets the first smoke alarm requirement confirmed according to the smoke sensor information is used as a to-be-confirmed area; for any to-be-confirmed area, personnel monitoring information is obtained within a predetermined time period using a human perception sensor set in the area; and based on the personnel monitoring information and the smoke sensor data and time data in the area obtained within the predetermined time period, it is judged whether the area meets the second smoke alarm requirement, and the second smoke alarm requirement is higher than the first smoke alarm requirement; the to-be-confirmed area that meets the second smoke alarm requirement is used as a fire target area.

7. The fire monitoring method according to claim 6, characterized in that: The user equipment includes speakers arranged in various areas of the target building; The generating of fire evacuation prompt information according to the spatial topological information of the target building and the monitoring push information includes: According to the spatial topological information of the target building and the monitoring push information, confirm the evacuation route of personnel in the fire target area; Generate fire evacuation prompt information, where the fire evacuation prompt information is used to control each user device in the route of personnel evacuation to give a voice prompt of evacuation instructions.

8. A fire monitoring device, characterized in that: Configured on the local server, including: An information acquisition module is used to acquire smoke information in real time using the smoke sensor acquisition module, wherein the smoke information includes smoke data, area labels and time data of different areas of the target building; An area confirmation module, used to take at least one area that meets the first smoke alarm requirement confirmed according to the smoke sensing information as an area to be confirmed; The condition judgment module is used to obtain personnel monitoring information using a human sensing sensor set in the area within a predetermined time period for any area to be confirmed; and judge whether the area meets the second smoke alarm requirement based on the personnel monitoring information and the smoke sensing data and time data in the area obtained within the predetermined time period, and the second smoke alarm requirement is higher than the first smoke alarm requirement; The data transmission module takes the unconfirmed area that meets the second smoke alarm requirement as the fire target area, sends the smoke sensor data, area label and time data corresponding to the fire target area to the cloud server, and sends fire evacuation prompt information to the user equipment set in the fire target area through the cloud server.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by at least one processor, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by at least one processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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