A safety and fire protection integrated management platform and data management method thereof

Abstract

The present application discloses a security and fire protection integrated management platform and its data management method, which relates to the field of security and fire protection integrated technology. It includes: obtaining environmental information of each security point in the target area; extracting features of the environmental information to obtain target features corresponding to each security point in the target area; calculating the risk level score corresponding to each security point based on the preset feature weights of each feature in the target features, the corresponding feature scores and the corresponding risk expansion adjustment coefficients; taking the security points with risk level scores higher than the preset risk judgment threshold as risk security points, and determining the risk level corresponding to the risk security points according to the risk level scores; matching the target processing strategies corresponding to the risk security points in the preset strategy library according to the risk levels; executing security control instructions to perform security management and control on the risk security points. The main purpose is to integrate security and fire protection management and improve the efficiency and accuracy of emergency response.

Description

Technical Field

[0001] The present application relates to the technical field of integrated safety and fire protection technology, and in particular to a safety and fire protection integrated management platform and a data management method thereof. Background Art

[0002] With the acceleration of urbanization and the continuous expansion of building scale, the safety issues of various buildings and public places have become increasingly prominent. Safety and fire management have become an important part of protecting people’s lives and property. In particular, the occurrence of emergency events such as fires has posed a great threat to people’s lives and property.

[0003] At present, traditional safety management and fire protection systems are often independent and run independently, respectively, and achieve control over safety and fire protection through simple alarm mechanisms. However, this approach has serious information island phenomenon and lacks effective information sharing mechanism. In emergency situations such as fire risk, resources cannot be quickly integrated for effective linkage response, resulting in slow emergency response and inaccurate risk assessment, which in turn affects management efficiency. Therefore, integrating safety and fire protection management and improving the efficiency and accuracy of emergency response have become issues that need to be addressed urgently. Summary of the invention

[0004] In view of the above problems, the present application provides a safety and fire integrated management platform and its data management method, the main purpose of which is to integrate safety and fire management and improve the efficiency and accuracy of emergency response.

[0005] In order to solve the above technical problems, this application proposes the following solutions:

[0006] In a first aspect, the present application provides a method for integrated safety and fire protection data management, the method comprising:

[0007] Obtaining environmental information of each security point in the target area, the environmental information including gas concentration information, personnel activity information, equipment status information and fire situation information;

[0008] Extracting features from the environmental information to obtain target features corresponding to each of the security points in the target area, wherein the target features include gas concentration change trend features, personnel flow pattern features, equipment operation status features, and fire situation intensity features;

[0009] Calculate the risk level score corresponding to each of the security points based on the preset feature weights of each feature in the target feature, the corresponding feature scores and the corresponding risk expansion adjustment coefficients, wherein the risk expansion adjustment coefficients are dynamically determined according to the score range of each feature score;

[0010] The security point whose risk level score is higher than the preset risk determination threshold is taken as the risk security point, and the risk level corresponding to the risk security point is determined according to the risk level score;

[0011] According to the risk level, a target processing strategy corresponding to the risk security point is matched in a preset strategy library, wherein the target processing strategy includes emergency measures and security control instructions corresponding to the emergency measures;

[0012] Execute the security control instruction to perform security management and control on the risk security point.

[0013] In a second aspect, the present application provides a safety and fire protection integrated management platform, the platform comprising:

[0014] An IoT integrated unit, used to obtain environmental information of each security point in the target area, the environmental information including gas concentration information, personnel activity information, equipment status information and fire situation information;

[0015] A feature extraction unit is used to extract features from the environmental information to obtain target features corresponding to each of the security points in the target area, wherein the target features include gas concentration change trend features, personnel flow pattern features, equipment operation status features, and fire situation intensity features;

[0016] A risk calculation unit, configured to calculate the risk level score corresponding to each of the security points based on the preset feature weights of each of the target features, the feature scores corresponding to each of the features, and the risk expansion adjustment coefficients corresponding to each of the features, wherein the risk expansion adjustment coefficients are dynamically determined according to the score ranges of each of the feature scores;

[0017] A level determination unit, configured to take the security point whose risk level score is higher than a preset risk determination threshold as the risk security point, and determine the risk level corresponding to the risk security point according to the risk level score;

[0018] A strategy matching unit, used to match the target processing strategy corresponding to the risk security point in a preset strategy library according to the risk level, wherein the target processing strategy includes emergency measures and security control instructions corresponding to the emergency measures;

[0019] The emergency response unit is used to execute the security control instructions to perform security management and control on the risk security points.

[0020] In order to achieve the above-mentioned purpose, according to the third aspect of the present application, a storage medium is provided, which includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the integrated safety and fire protection data management method of the above-mentioned first aspect.

[0021] In order to achieve the above-mentioned purpose, according to the fourth aspect of the present application, a processor is provided, and the processor is used to run a program, wherein the program executes the integrated safety and fire protection data management method of the above-mentioned first aspect when running.

[0022] By means of the above technical scheme, the present application provides a safety and fire protection integrated management platform and a data management method thereof. First, environmental information of each security point in the target area is obtained, and the environmental information includes gas concentration information, personnel activity information, equipment status information and fire situation information. Then, feature extraction is performed on the environmental information to obtain target features corresponding to each security point in the target area. The target features include gas concentration change trend features, personnel flow pattern features, equipment operation status features and fire situation intensity features. Then, based on the preset feature weights of each feature in the target features, the corresponding feature scores and the corresponding risk expansion adjustment coefficients, the risk degree scores corresponding to each security point are calculated. The risk expansion adjustment coefficient is dynamically determined according to the score range of each feature score. Then, the security points with risk degree scores higher than the preset risk judgment threshold are regarded as risk security points, and the risk level corresponding to the risk security points is determined according to the risk degree score. Then, according to the risk level, the target processing strategy corresponding to the risk security point is matched in the preset strategy library. The target processing strategy includes emergency measures and security control instructions corresponding to the emergency measures. Finally, the security control instructions are executed to perform security management and control on the risk security points. Through the technical solution provided in the present application, it is possible to start with environmental information consisting of gas concentration information, personnel activity information, equipment status information and fire situation information, ensure the comprehensiveness and integrity of the data, and extract target features such as gas concentration change trend characteristics, personnel flow pattern characteristics, equipment operation status characteristics and fire situation intensity characteristics based on this, so as to comprehensively reflect the environmental conditions of each security point, and calculate the risk level score of each security point according to the feature weights, feature scores of these target features and the risk expansion adjustment coefficient obtained based on the score range of the feature score, so that the risk level score is forward-looking, more reasonable and accurate, so as to achieve accurate analysis of the risks faced by each security point, and at the same time, in conjunction with the formulation of processing strategies, it is possible to find risk security points and their corresponding processing strategies, and execute the security control instructions corresponding to the emergency measures in the processing strategies to achieve the management and control of risk security points, which not only solves the problem of information islands and realizes the real-time sharing and linkage of security and fire information, but also greatly improves the speed and accuracy of emergency response and improves management efficiency.

[0023] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present application. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0025] Figure 1 A flow chart of a safety and fire protection integrated data management method provided in an embodiment of the present application is shown;

[0026] Figure 2 Another flow chart of a safety and fire protection integrated data management method provided by an embodiment of the present application is shown;

[0027] Figure 3 A block diagram of a safety and fire protection integrated management platform provided in an embodiment of the present application is shown;

[0028] Figure 4 A block diagram showing the composition of another integrated safety and fire protection management platform provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0029] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0030] At present, traditional safety management and fire protection systems are often independent and run independently, respectively, and achieve control over safety and fire protection through simple alarm mechanisms. However, this approach has serious information island phenomenon and lacks effective information sharing mechanism. In emergency situations such as fire risk, resources cannot be quickly integrated for effective linkage response, resulting in slow emergency response and inaccurate risk assessment, which in turn affects management efficiency. Therefore, integrating safety and fire protection management and improving the efficiency and accuracy of emergency response have become issues that need to be addressed urgently.

[0031] To this end, the embodiment of the present application provides a safety and fire protection integrated management platform and its data management method. The safety and fire protection integrated management platform and its data management method provided by the embodiment of the present application can be applied to any place where safety and fire protection need to be controlled, such as factories, shopping malls, etc.

[0032] The embodiment of the present application provides a method for integrated safety and fire protection data management, through which safety and fire protection management can be integrated to improve the efficiency and accuracy of emergency response. The specific execution steps are as follows: Figure 1 As shown, including:

[0033] 101. Obtain environmental information of each security point in the target area.

[0034] Among them, environmental information includes gas concentration information, personnel activity information, equipment status information and fire situation information.

[0035] In this step, the target area can be any place that requires safety and fire control, and the security points are multiple sub-areas divided within the target area. Gas concentration information includes smoke concentration and oxygen concentration, which can be collected and fed back through smoke detectors and oxygen concentration sensors installed at each security point. Personnel activity information includes personnel location and personnel density, which can be collected and fed back by GPS positioning the mobile devices carried by personnel in the target area. Equipment status information includes the location layout and working status of fire-fighting equipment, which can be collected and fed back through the edge device corresponding to the fire-fighting system, that is, the edge device is connected to the sensors installed on each fire-fighting equipment in the fire-fighting system, and the sensors are fed back to the edge device. The fire-fighting equipment includes fire hydrants, fire extinguishers, sprinkler systems, etc. Fire situation information includes the location of the fire source and the size of the fire, which can be identified and fed back through a high-definition camera or thermal imager. The above information is summarized, stored and classified in the database according to each security point, and the environmental information of each security point can be obtained. Specifically, standard communication protocols (such as MQTT, HTTP, and CoAP) can be used to receive the feedback information from the above-mentioned IoT integrated devices, and the feedback information can be preprocessed, such as denoising and format conversion, and then the preprocessed data can be classified and stored in the database. Relational databases (such as MySQL) can be used to store structured data, and NoSQL databases (such as MongoDB) can be used to store unstructured data. For example, smoke concentration and oxygen concentration data are stored in a MySQL database, and video surveillance images are stored in MongoDB, and indexes are created for each data type to facilitate subsequent query calls.

[0036] 102. Extract features from environmental information to obtain target features corresponding to each security point in the target area.

[0037] Among them, the target characteristics include gas concentration change trend characteristics, personnel flow pattern characteristics, equipment operation status characteristics and fire situation intensity characteristics.

[0038] In this step, the key manifestations of fire can be used in advance to determine the target features, which are used to comprehensively and accurately reflect the environmental conditions and potential risks of each security point in the target area. In practical applications, the gas concentration change trend characteristics can provide early warnings. In the early stages of a fire, the concentrations of smoke and harmful gases will gradually increase, and the oxygen concentration will decrease accordingly. The personnel flow pattern characteristics can help understand the distribution and flow of personnel so that they can be effectively evacuated in an emergency. The equipment operation status characteristics can evaluate the reliability of fire-fighting equipment and ensure that the fire-fighting equipment can work normally in an emergency. The fire situation intensity characteristics can help accurately locate the fire source and quickly take fire-fighting measures. Therefore, the gas concentration change trend characteristics, personnel flow pattern characteristics, equipment operation status characteristics, and fire situation intensity characteristics can be used as target features and extracted from environmental information.

[0039] It should be noted that the gas concentration change trend characteristics can be obtained by calculating the average, maximum, minimum and change rate of the gas concentration. The personnel flow pattern characteristics can be obtained by counting the flow, density and gathering points of personnel. The equipment operation status characteristics can be obtained by monitoring the working status of fire-fighting equipment, such as the number of starts, duration, number of failures, etc. The fire situation intensity characteristics can be obtained by analyzing the location of the fire source and the size of the fire.

[0040] 103. Calculate the risk level score corresponding to each security point based on the preset feature weight of each feature in the target feature, the corresponding feature score and the corresponding risk expansion adjustment coefficient.

[0041] Among them, the risk expansion adjustment coefficient is dynamically determined based on the score range of each characteristic score.

[0042] In this step, the corresponding risk weight, i.e., the feature weight, can be set for each feature in the target feature according to its impact on the risk or its importance to safety and fire control. It can be set by direct assignment or by normalization based on the assignment. For example, the weight of the gas concentration change trend feature is 0.27, the weight of the personnel flow pattern feature is 0.21, the weight of the equipment operation status feature is 0.18, and the weight of the fire situation intensity feature is 0.34. At the same time, a scoring standard can be set in advance, which is used to determine the risk score of each feature in the target feature, i.e., the feature score. For example, the score of the gas concentration change trend feature is 80 (because the concentration rises quickly), the score of the personnel flow pattern feature is 60 (because the personnel density is high), the score of the equipment operation status feature is 20 (because the equipment is normal), and the score of the fire situation intensity feature is 90 (because the fire source has been found). In addition, considering that in actual applications, whether it is a big risk or a small risk, there is a certain tendency to spread and expand. In order to avoid the lack of foresight in the determination of risk levels due to the lack of consideration of the impact of risk expansion, resulting in the determination of risk levels being unreasonable and inaccurate, a risk expansion adjustment coefficient that changes dynamically with the score range of its feature score can be set in advance for each feature in the target feature, which is used to reflect the comprehensive impact of the feature score on the expansion and spread of risks. For example, the adjustment coefficient for 0-50 points is 1.0, the adjustment coefficient for 51-80 points is 1.2, and the adjustment coefficient for 81-100 points is 1.5. The final risk score of each security point is determined by risk weight, risk score and risk expansion adjustment coefficient, so that the final risk score is more reasonable and accurate, so that the subsequent processing strategy is more effective.

[0043] After obtaining the risk level score, a critical value that can reflect the existence of risk can be set as the risk determination threshold, and the final risk level score of each security point can be compared with it. If the final risk level score of a security point is greater than the risk determination threshold, it is considered that the security point has a greater risk and can be used as a risk security point. In this way, which security points are risky security points can be determined. After determining the risky security points, the risk level corresponding to the risky security points can be determined by the difference between the risk level score and the risk determination threshold. The risk level includes low risk, medium risk, and high risk. If the difference is small, it is considered to be low risk, otherwise, it is medium risk or high risk.

[0044] 104. Security points with risk scores higher than the preset risk determination threshold are regarded as risk security points, and the risk levels corresponding to the risk security points are determined based on the risk scores.

[0045] In this step, after obtaining the risk level score, a critical value that can reflect the existence of risk can be set as the risk determination threshold, and the final risk level score of each security point can be compared with it. If the final risk level score of a security point is greater than the risk determination threshold, it is considered that the security point has a greater risk and can be used as a risk security point. In this way, which security points are risky security points can be determined, and after determining the risky security points, the risk level corresponding to the risky security points can be determined by the difference between the risk level score and the risk determination threshold. The risk level includes low risk, medium risk, and high risk. If the difference is small, it is considered to be low risk, otherwise, it is medium risk or high risk.

[0046] 105. Match the target processing strategy corresponding to the risk security point in the preset strategy library according to the risk level.

[0047] The target processing strategy includes emergency measures and security control instructions corresponding to the emergency measures.

[0048] In this step, it should be noted that the preset strategy library contains emergency response strategies for different risk levels, and the response strategies in the strategy library are all strategies that can be implemented in the target area. Specifically, they can be formulated and stored according to the safety and fire deployment of the target area, and each response strategy contains emergency measures and security control instructions corresponding to the emergency measures. For example, low-risk strategy: regular patrols and enhanced monitoring; medium-risk strategy: start the local sprinkler system and evacuate nearby personnel; high-risk strategy: start a comprehensive emergency response and evacuate all personnel. When each response strategy is stored in the strategy library, a corresponding description tag will be added. The description tag includes at least a level tag. After determining the risk level, the response strategy corresponding to the risk level, that is, the target response strategy, can be obtained by matching the risk level with the level tag. Specifically, since there may be multiple matched response strategies, a measure complexity tag describing the complexity of the measure and the difficulty of implementation can also be added. The response strategies matched based on the level tag are used as alternatives, and a response strategy with the lowest measure complexity is selected as the target response strategy. After obtaining the target response strategy, the emergency measures contained therein and the security control instructions corresponding to the emergency measures can be obtained. Such as starting the sprinkler system, closing vents, and evacuating personnel.

[0049] 106. Execute security control instructions to conduct security management and control of risk security points.

[0050] In this step, since the risk security point is determined, the security control instruction for the risk security point can be executed to achieve effective control of the risk security point. During the execution process, the execution status of the security control instruction can be monitored and recorded, and corresponding feedback information can be generated. The feedback information can be used to determine whether the security control instruction is executed abnormally, so as to change the target processing strategy according to the feedback information.

[0051] Based on the above Figure 1 It can be seen from the implementation method that the present application provides a method for integrated safety and fire protection data management, firstly, the environmental information of each security point in the target area is obtained, and the environmental information includes gas concentration information, personnel activity information, equipment status information and fire situation information, and then the environmental information is feature extracted to obtain the target features corresponding to each security point in the target area, and the target features include gas concentration change trend features, personnel flow pattern features, equipment operation status features and fire situation intensity features, and then the risk degree score corresponding to each security point is calculated based on the preset feature weights of each feature in the target features, the corresponding feature scores and the corresponding risk expansion adjustment coefficients, and the risk expansion adjustment coefficients are dynamically determined according to the score range of each feature score, and then the security points with risk degree scores higher than the preset risk judgment threshold are taken as risk security points, and the risk level corresponding to the risk security points is determined according to the risk degree score, and then the target processing strategy corresponding to the risk security point is matched in the preset strategy library according to the risk level, and the target processing strategy includes emergency measures and security control instructions corresponding to the emergency measures, and finally the security control instructions are executed to perform security management and control on the risk security points. Through the technical solution provided in the present application, it is possible to start with environmental information consisting of gas concentration information, personnel activity information, equipment status information and fire situation information, ensure the comprehensiveness and integrity of the data, and extract target features such as gas concentration change trend characteristics, personnel flow pattern characteristics, equipment operation status characteristics and fire situation intensity characteristics based on this, so as to comprehensively reflect the environmental conditions of each security point, and calculate the risk level score of each security point according to the feature weights, feature scores of these target features and the risk expansion adjustment coefficient obtained based on the score range of the feature score, so that the risk level score is forward-looking, more reasonable and accurate, so as to achieve accurate analysis of the risks faced by each security point, and at the same time, in conjunction with the formulation of processing strategies, it is possible to find risk security points and their corresponding processing strategies, and execute the security control instructions corresponding to the emergency measures in the processing strategies to achieve the management and control of risk security points, which not only solves the problem of information islands and realizes the real-time sharing and linkage of security and fire information, but also greatly improves the speed and accuracy of emergency response and improves management efficiency.

[0052] Further, the preferred embodiment of the present application is in the above Figure 1Based on the data management process, the detailed description is as follows: Figure 2 As shown, including:

[0053] 201. Obtain environmental information of each security point in the target area.

[0054] This step is combined with the description of step 101 in the above method, and the same contents will not be repeated here.

[0055] 202. Extract features from the environmental information to obtain target features corresponding to each security point in the target area.

[0056] This step is combined with the description of step 102 in the above method, and the same contents are not repeated here.

[0057] 203. Obtain preset feature weights for gas concentration change trend characteristics, personnel flow pattern characteristics, equipment operation status characteristics, and fire situation intensity characteristics.

[0058] In this step, the target features can be evaluated in advance through professional knowledge in the fields of fire protection, safety, and environmental monitoring to determine the importance of each feature. For example, from the perspective of the fire protection field, the fire intensity feature may be considered the most important because it is directly related to the severity of the fire. It is also possible to analyze historical fire and safety accident cases to find out which features have obvious abnormal changes before the accident, and then determine the importance of each feature based on the degree of abnormal change. For example, by analyzing historical data, it is found that the trend of gas concentration changes often changes significantly before a fire occurs, so this feature is considered to be very important. According to the importance of each feature, a corresponding weight is set for it, that is, the feature weight, which is used to characterize the importance of each feature for safety and fire control.

[0059] Specifically, the direct assignment method can be used to set, such as gas concentration change trend characteristics: 9 points; personnel flow pattern characteristics: 7; equipment operation status characteristics: 6; fire situation intensity characteristics: 10. It can also be set by normalization processing based on the assignment, such as gas concentration change trend characteristics: 9 / (9+7+6+10)=0.27; personnel flow pattern characteristics: 7 / (9+7+6+10)=0.21; equipment operation status characteristics: 6 / (9+7+6+10)=0.18; fire situation intensity characteristics: 10 / (9+7+6+10)=0.34, which is not limited in this embodiment. After setting the weights of each feature, the features and weights can be mapped, and a mapping relationship table can be generated and stored in the database for subsequent calls.

[0060] It should be noted that in order to ensure the accuracy of the feature weights, a specified period can be set for updating.

[0061] 204. Based on the preset scoring criteria, the characteristic scores corresponding to the gas concentration change trend characteristics, personnel flow pattern characteristics, equipment operation status characteristics and fire situation intensity characteristics are determined respectively.

[0062] In this step, a scoring standard may be pre-set to determine the score of each feature, and the feature score reflects the risk level of each feature. Specifically, different score ranges may be set for different feature situations.

[0063] Exemplary, the gas concentration change trend characteristics are: 0-20 points: normal range, no obvious change; 21-50 points: slight change, need attention; 51-80 points: significant change, potential risk; 81-100 points: drastic change, high risk.

[0064] Characteristics of personnel flow patterns: 0-20 points: sparsely populated, with no obvious gathering; 21-50 points: moderately populated, with a small amount of gathering; 51-80 points: densely populated, with a large number of gatherings; 81-100 points: very densely populated, with a high degree of gathering.

[0065] Equipment operation status characteristics: 0-20 points: the equipment is normal and has no faults; 21-50 points: the equipment has a slight abnormality and needs to be checked; 51-80 points: the equipment has a moderate abnormality and needs to be repaired; 81-100 points: the equipment has a serious abnormality and needs to be handled immediately.

[0066] Fire situation intensity characteristics: 0-20 points: no fire source, safe environment; 21-50 points: small fire source, need attention; 51-80 points: medium fire source, need immediate treatment; 81-100 points: large fire source, high risk.

[0067] It should be noted that the score range set in the above example is only one implementation method, and the score range can be customized according to the actual situation of each feature.

[0068] 205. Determine the risk expansion adjustment coefficients corresponding to the gas concentration change trend characteristics, personnel flow pattern characteristics, equipment operation status characteristics and fire situation intensity characteristics.

[0069] Among them, the risk expansion adjustment coefficient is dynamically determined based on the score range of each characteristic score.

[0070] In practical applications, whether it is a large risk or a small risk, there is a certain tendency to spread and expand. Therefore, in order to avoid the lack of foresight in the determination of risk levels due to failure to consider the impact of risk expansion, the determination of risk levels is not reasonable and accurate enough. In this step, since the score range corresponding to the scoring criteria of the feature score is determined, the corresponding risk expansion adjustment coefficient can be set in advance based on different score ranges, such as 0-50 points: the adjustment coefficient is 1.0; 51-80 points: the adjustment coefficient is 1.2; 81-100 points: the adjustment coefficient is 1.5. The risk expansion adjustment coefficient is used to adjust the risk degree score to reflect the comprehensive impact of the high and low feature scores on the expansion and spread of risks. By introducing the risk expansion adjustment coefficient, the determination of the risk level can be made more reasonable and accurate.

[0071] 206. Calculate the risk level score corresponding to each security point based on the characteristic weights, characteristic scores and risk expansion adjustment coefficients corresponding to the gas concentration change trend characteristics, personnel flow pattern characteristics and equipment operation status characteristics.

[0072] In this step, the characteristic weights, characteristic scores and risk expansion adjustment coefficients corresponding to the gas concentration change trend characteristics, personnel flow pattern characteristics and equipment operation status characteristics have been determined. Therefore, on the basis of calculating the characteristic weights and characteristic scores for each of the above characteristics, the risk expansion adjustment coefficients can be introduced to correct the risk expansion trend, and then the corrected scores of each characteristic are added together to make the risk degree score more reasonable and accurate, thereby improving the accuracy and reliability of risk level determination.

[0073] The specific expression is as follows:

[0074]

[0075] in, Indicates the risk level score of the security point. represents the feature weight preset for the i-th feature, represents the feature score corresponding to the i-th feature, represents the risk expansion adjustment coefficient of the i-th feature. The risk expansion adjustment coefficient depends on The score range.

[0076] In conjunction with step 205, illustratively, it is assumed that the characteristic weight of the gas concentration change trend characteristic is 0.3, the feature score The risk expansion adjustment factor is 80. is 1.2; the characteristic weight of the personnel flow pattern characteristics is 0.2, feature score The risk expansion adjustment factor is 60. is 1.0; the feature weight of the device operation status feature is 0.2, feature score =20, the risk expansion adjustment factor is 1.0; the characteristic weight of the fire situation intensity characteristic is 0.3, the feature score The risk expansion adjustment factor is 90. is 1.5.

[0077] Then substituting into the above expression, the risk level score is:

[0078] 80×0.3×1.2+30×0.2×1.0+20×0.2×1.0+90×0.3×1.5=94.3.

[0079] 207. The security points with risk level scores higher than the preset risk determination threshold are regarded as risk security points, and the corresponding risk levels are determined according to the risk level scores.

[0080] In this step, the risk determination threshold is used to determine whether there is a potential risk at each security point. Specifically, it can be customized by the user according to the strictness of the corresponding risk control, such as 50, 60, etc. The risk level score of each security point is compared with the risk determination threshold. If it is greater than the risk determination threshold, the security point is determined to be a risk security point, otherwise it is determined that there is no risk at the security point. The specific implementation process of determining the corresponding risk level according to the risk level score is: subtract the risk level score corresponding to each risk security point from the risk determination threshold to obtain the difference result corresponding to each risk security point; determine the risk level corresponding to each risk security point according to the difference result corresponding to each risk security point. That is, the corresponding risk level is determined by the difference size, and the risk level can include low risk, medium risk and high risk. If the difference is small, it means it is low risk, otherwise it means it is medium risk or high risk.

[0081] 208. Match the target processing strategy corresponding to the risk security point in the preset strategy library according to the risk level.

[0082] This step is combined with the description of step 105 in the above method, and the same content is not repeated here. It should be noted that the specific execution process of matching the target processing strategy corresponding to the risk security point in the preset strategy library according to the risk level is: extracting the description tags pre-added to each processing strategy in the strategy library; matching the risk level with the level tag, and using the successfully matched processing strategy as an alternative processing strategy; sorting the alternative processing strategies according to the measure complexity tag and / or the measure implementation efficiency tag, and determining the target processing strategy according to the sorting result.

[0083] The description tags include level tags, measure complexity tags, and measure implementation efficiency tags. The level tag is used to describe the risk level to which the treatment strategy is applicable, the measure complexity tag is used to describe the complexity of the treatment strategy when implementing intervention, and the measure implementation efficiency tag is used to describe the speed at which the treatment strategy is implemented when implementing intervention.

[0084] Specifically, the level label, measure complexity label and measure implementation efficiency label can be set to three levels of "low", "medium" and "high" respectively. For the measure complexity label, the processing strategy that is simple, easy to implement and requires less resources is "low", the processing strategy that is relatively complex, requires certain resources and coordination, but is still within the controllable range is "medium", and the processing strategy that is very complex, requires a lot of resources and coordination, and is difficult to implement is "high". For the measure implementation efficiency label, the implementation speed is slow and it takes a long time to complete, which is "low", the implementation speed is moderate and can be completed within a reasonable time, which is "medium", and the implementation speed is fast and can be completed quickly in a short time, which is "high".

[0085] By matching the risk level with the level label, the applicable processing strategy can be obtained. However, since there may be many such processing strategies, in order to select a processing strategy with relatively less resource requirements and effective, it can be used as an alternative processing strategy, and the alternative processing strategies can be sorted according to the measure complexity label or the measure implementation efficiency label. The sorting can be reverse order, forward order, etc. The alternative processing strategy with the lowest complexity can be selected as the target processing strategy, and the alternative processing strategy with the highest implementation efficiency can be selected as the target processing strategy. The target processing strategy can also be selected by combining the measure complexity label and the measure implementation efficiency label.

[0086] Specifically, corresponding attribute values ​​can be set for the levels, and the attribute values ​​can be converted into utility values ​​using the utility function method, and then a comprehensive evaluation can be performed, including:

[0087] The expression of the implementation efficiency utility function is as follows:

[0088]

[0089] The expression of the complexity utility function is as follows:

[0090]

[0091] The expression of the comprehensive evaluation result is as follows:

[0092] = × + ×

[0093] in, is the efficiency utility value, X is the efficiency value, is the maximum efficiency, is the minimum efficiency, is the complexity utility value, Y is the complexity value, is the minimum value, is the maximum value, is the preset weight corresponding to efficiency, is the preset weight corresponding to the complexity, It is the result of comprehensive evaluation.

[0094] After obtaining the comprehensive evaluation results of various alternative processing strategies, they are sorted according to the comprehensive evaluation results to select the target processing strategy from them.

[0095] By introducing the complexity of measures and the efficiency of their implementation, the integrated safety and fire management platform can more reasonably select subsequent emergency response strategies, which not only improves the intelligence level and emergency response capabilities of the system, but also ensures that simple and effective response measures can be taken quickly in emergency situations, thereby improving the overall performance and reliability of the system.

[0096] In order to further improve the rationality and accuracy of risk level determination, so as to improve the accuracy and reliability of risk assessment. Before matching the target processing strategy corresponding to the risk security point in the preset strategy library according to the risk level, the method also includes: when there are multiple risk security points, obtaining the actual positions of the multiple risk security points; judging whether there is an adjacent relationship and / or a surrounding relationship between the multiple risk security points according to the actual positions, the adjacent relationship is determined based on whether the distance between any two risk security points is less than the preset distance threshold, and the surrounding relationship is determined based on whether any risk security point is surrounded by other multiple risk security points according to the position distribution of the multiple risk security points in the target area; if so, the risk security points with adjacent relationships and / or surrounding relationships are used as risk security points to be upgraded, and the risk level is updated according to the number of risk security points to be upgraded.

[0097] Among them, since the security point specifically refers to the point that needs to be controlled in the target area, that is, the sub-area in the target area, taking the shopping mall as an example, the security point may be each shop. In addition, when determining the risk security point, there is also a situation where multiple risk security points appear at the same time. Therefore, when there are multiple risk security points, the actual location information of multiple risk security points is obtained, including latitude and longitude coordinates or other location identifiers. A reasonable distance threshold can be set in advance according to the area occupied by each security point in the target area, such as 30 meters. By detecting the distance between the locations of any two risk security points and comparing the distance threshold, it is determined whether the two have an adjacent relationship. If it is less than the distance threshold, it is considered to be an adjacent relationship, otherwise it is a non-adjacent relationship. Specifically, a geographic information system (GIS) or a mathematical formula can be used to calculate the distance between two risk security points. The existence of a surrounding relationship is determined by the position distribution of multiple risk security points in the target area, that is, whether any risk security point is surrounded by multiple other risk security points. If so, it is considered to be a surrounding relationship, otherwise it is not a surrounding relationship. Specifically, a geometric algorithm such as the convex hull algorithm can be used to determine whether any risk security point is surrounded by other risk security points.

[0098] In actual situations, the existence of an adjacent relationship indicates that two risk security points are adjacent, and the existence of an encircling relationship indicates that a certain risk security point is surrounded by other risk security points. Risks are prone to secondary expansion and spread due to proximity or encirclement. In order to avoid such adverse effects, risk security points with adjacent and / or encircling relationships can be used as risk security points to be upgraded, that is, the risk level of the upgraded risk security point is matched with the corresponding better level of treatment measures, so as to ensure the effectiveness of the treatment measures. The risk security point to be upgraded specifically refers to the risk security point whose risk level needs to be upgraded. The specific update rule can be to automatically increase one level, or to set different level adjustment gradients based on the adjacent relationship or the encircling relationship. For example, if there is an adjacent relationship, the risk level is increased by one level, and if there is an encircling relationship, the risk level is increased by two levels. It should be noted that if the risk level has reached the highest level, there is no need to upgrade.

[0099] 209. Execute security control instructions to conduct security management and control of risk security points.

[0100] This step is combined with the description of step 106 in the above method, and the same contents are not repeated here.

[0101] It should be noted that the specific execution process of executing security control instructions is: monitor and record the execution status of security control instructions, and generate integrated security and fire protection feedback information based on the execution status; if the feedback information is an execution exception, the target processing strategy will be marked as invalid in the alternative processing strategies, and a new target processing strategy will be reselected from the remaining alternative processing strategies.

[0102] In this step, since the security control instruction is obtained based on the target processing strategy with the lowest complexity determined in the above steps, and there are multiple alternative processing strategies when selecting the processing strategy. Therefore, in order to ensure the effectiveness of the processing strategy, the execution status of each instruction can be monitored and recorded during the execution of the security control instruction, and feedback information of security and fire protection integration can be generated to feedback the execution status of each instruction in the security control instruction. If it is determined through feedback information that there are instructions with abnormal execution in the security control instruction, a new target processing strategy can be replaced for execution. That is, the target processing strategy is marked as invalid in the alternative processing strategy, and a new target processing strategy is reselected from the remaining alternative processing strategies. That is, the alternative processing strategy that is second only to the original target processing strategy in the original measure complexity ranking is used as the new target processing strategy. It should be noted that for determining whether the execution is abnormal, it can be determined as an execution abnormality if any one of the multiple instructions contained in the security control instruction has an execution abnormality, or it can be determined as an execution abnormality if a preset proportion of the multiple instructions contained in the security control instruction has an execution abnormality. This embodiment does not limit this.

[0103] Furthermore, as a response to the above Figure 1-2 The implementation of the method embodiment shown in the figure, the embodiment of the present application provides a safety and fire protection integrated management platform, which is used to integrate safety and fire protection management to improve the efficiency and accuracy of emergency response. The embodiment of the platform corresponds to the aforementioned method embodiment. For ease of reading, this embodiment will no longer repeat the details of the aforementioned method embodiment one by one, but it should be clear that the platform in this embodiment can correspond to all the contents of the aforementioned method embodiment. Specifically, Figure 3 As shown, the platform includes:

[0104] The Internet of Things integration unit 31 is used to obtain environmental information of each security point in the target area, wherein the environmental information includes gas concentration information, personnel activity information, equipment status information and fire situation information;

[0105] A feature extraction unit 32 is used to extract features from the environmental information to obtain target features corresponding to each of the security points in the target area, wherein the target features include gas concentration change trend features, personnel flow pattern features, equipment operation status features, and fire situation intensity features;

[0106] The risk calculation unit 33 is used to calculate the risk level score corresponding to each of the security points based on the preset feature weights of each feature in the target feature, the corresponding feature scores and the corresponding risk expansion adjustment coefficients, wherein the risk expansion adjustment coefficients are dynamically determined according to the score intervals of each feature score;

[0107] The level determination unit 34 is used to take the security point whose risk level score is higher than the preset risk determination threshold as the risk security point, and determine the risk level corresponding to the risk security point according to the risk level score;

[0108] A strategy matching unit 35 is used to match the target processing strategy corresponding to the risk security point in a preset strategy library according to the risk level, wherein the target processing strategy includes emergency measures and security control instructions corresponding to the emergency measures;

[0109] The emergency response unit 36 ​​is used to execute the security control instruction to perform security management and control on the risk security point.

[0110] Further, such as Figure 4 As shown, the risk calculation unit 33 includes:

[0111] The weight acquisition module 331 is used to obtain the preset feature weights of the gas concentration change trend feature, the personnel flow pattern feature, the equipment operation status feature and the fire situation intensity feature;

[0112] A scoring determination module 332 is used to determine the characteristic scores corresponding to the gas concentration change trend characteristic, the personnel flow pattern characteristic, the equipment operation status characteristic and the fire situation intensity characteristic respectively based on a preset scoring standard;

[0113] A coefficient determination module 333 is used to determine the risk expansion adjustment coefficients corresponding to the gas concentration change trend characteristics, the personnel flow pattern characteristics, the equipment operation status characteristics, and the fire situation intensity characteristics, respectively. The risk expansion adjustment coefficients are dynamically determined according to the score intervals of the characteristic scores.

[0114] The score calculation module 334 is used to calculate the risk level score corresponding to each security point based on the feature weights, feature scores and risk expansion adjustment coefficients corresponding to the gas concentration change trend characteristics, the personnel flow pattern characteristics, the equipment operation status characteristics and the fire situation intensity characteristics.

[0115] Further, such as Figure 4 As shown, the score calculation module 334 is specifically expressed as follows:

[0116]

[0117] in, Indicates the risk level score of the security point. represents the feature weight preset for the i-th feature, represents the feature score corresponding to the i-th feature, represents the risk expansion adjustment coefficient of the i-th feature. The risk expansion adjustment coefficient depends on The score range.

[0118] Further, such as Figure 4 As shown, the level determination unit 34 includes:

[0119] The difference calculation module 341 is used to respectively subtract the risk level score corresponding to each of the risk security points from the risk determination threshold to obtain the difference result corresponding to each of the risk security points;

[0120] The level determination module 342 is used to determine the risk level corresponding to each of the risk security points according to the difference results corresponding to each of the risk security points.

[0121] Further, such as Figure 4 As shown, the platform also includes:

[0122] A position acquisition unit 37 is used for acquiring actual positions of multiple risk security points when there are multiple risk security points before matching the target processing strategy corresponding to the risk security point in the preset strategy library according to the risk level;

[0123] a relationship determination unit 38, configured to determine whether there is an adjacent relationship and / or a surrounding relationship between the plurality of risk security points according to the actual position, wherein the adjacent relationship is determined based on whether the distance between any two of the risk security points is less than a preset distance threshold, and the surrounding relationship is determined based on whether any of the risk security points is surrounded by the other plurality of risk security points according to the position distribution of the plurality of risk security points in the target area;

[0124] The level updating unit 39 is configured to, if yes, take the risk security points having the adjacent relationship and / or the surrounding relationship as risk security points to be upgraded, and update the risk level according to the number of risk security points to be upgraded.

[0125] Further, such as Figure 4 As shown, the strategy matching unit 35 includes:

[0126] The label extraction module 351 is used to extract the description labels pre-added to each processing strategy in the strategy library, wherein the description labels include level labels and measure complexity labels;

[0127] A strategy matching module 352, used to match the risk level with the level label, and use the successfully matched processing strategy as an alternative processing strategy;

[0128] The optimal selection module 353 is used to sort the candidate processing strategies according to the measure complexity labels, and select the candidate processing strategy with the lowest complexity as the target processing strategy.

[0129] Further, such as Figure 4 As shown, the emergency response unit 36 ​​includes:

[0130] A monitoring feedback module 361 is used to monitor and record the execution status of the security control instruction, and generate security and fire protection integrated feedback information based on the execution status;

[0131] The strategy updating module 362 is used to mark the target processing strategy as invalid in the candidate processing strategies if the feedback information is an execution exception, and reselect a new target processing strategy from the remaining candidate processing strategies.

[0132] Furthermore, an embodiment of the present application further provides a storage medium, wherein the storage medium is used to store a computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute the above Figure 1-2 The integrated safety and fire protection data management method described in.

[0133] Furthermore, the embodiment of the present application also provides a processor, the processor is used to run a program, wherein the program executes the above Figure 1-2 The integrated safety and fire protection data management method described in.

[0134] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0135] It is understandable that the related features in the above methods and devices can be referenced to each other. In addition, the "first", "second" and the like in the above embodiments are used to distinguish the embodiments, but do not represent the advantages and disadvantages of the embodiments.

[0136] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0137] The algorithm and display provided herein are not inherently related to any particular computer, virtual system or other device. Various general purpose systems can also be used together with the teachings based on this. According to the above description, it is obvious that the structure required for constructing such systems. In addition, the application is not directed to any specific programming language either. It should be understood that various programming languages ​​can be utilized to realize the content of the application described herein, and the description of the specific language above is for the purpose of disclosing the best mode of implementation of the application.

[0138] In addition, the memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0139] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0140] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0141] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0142] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0143] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0144] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0145] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0146] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0147] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0148] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A safety and fire protection integrated data management method, characterized in that: The method comprises: Obtaining environmental information of each security point in the target area, the environmental information including gas concentration information, personnel activity information, equipment status information and fire situation information; Extracting features from the environmental information to obtain target features corresponding to each of the security points in the target area, wherein the target features include gas concentration change trend features, personnel flow pattern features, equipment operation status features, and fire situation intensity features; The risk level score corresponding to each of the security points is calculated based on the preset feature weights of each feature in the target feature, the corresponding feature scores and the corresponding risk expansion adjustment coefficients. The risk expansion adjustment coefficient is dynamically determined according to the score interval of each feature score. Specifically, the risk level score corresponding to each of the security points is calculated according to the feature weights, feature scores and risk expansion adjustment coefficients corresponding to the gas concentration change trend characteristics, the personnel flow pattern characteristics, the equipment operation status characteristics and the fire situation intensity characteristics. The specific expression is as follows: in, Indicates the risk level score of the security point. represents the feature weight preset for the i-th feature, represents the feature score corresponding to the i-th feature, represents the risk expansion adjustment coefficient of the i-th feature. The risk expansion adjustment coefficient depends on The score range in which it is located; The security point whose risk level score is higher than the preset risk determination threshold is regarded as a risk security point, and the risk level corresponding to the risk security point is determined according to the risk level score; According to the risk level, a target processing strategy corresponding to the risk security point is matched in a preset strategy library, wherein the target processing strategy includes emergency measures and security control instructions corresponding to the emergency measures; Execute the security control instruction to perform security management and control on the risk security point.

2. The safety and fire protection integrated data management method according to claim 1, characterized in that: The risk level score corresponding to each of the security points is calculated based on the preset feature weights of each feature in the target feature, the corresponding feature scores, and the corresponding risk expansion adjustment coefficients, including: Obtaining the preset feature weights of the gas concentration change trend feature, the personnel flow pattern feature, the equipment operation status feature, and the fire situation intensity feature; Determine the characteristic scores corresponding to the gas concentration change trend characteristic, the personnel flow pattern characteristic, the equipment operation status characteristic, and the fire situation intensity characteristic respectively based on the preset scoring criteria; Determine the risk expansion adjustment coefficients corresponding to the gas concentration change trend characteristics, the personnel flow pattern characteristics, the equipment operation status characteristics, and the fire situation intensity characteristics, respectively, wherein the risk expansion adjustment coefficients are dynamically determined according to the score intervals of the scores of the respective characteristics; The risk level score corresponding to each of the security points is calculated based on the feature weights, feature scores and risk expansion adjustment coefficients corresponding to the gas concentration change trend characteristics, the personnel flow pattern characteristics, the equipment operation status characteristics and the fire situation intensity characteristics.

3. The method for integrated safety and fire protection data management according to claim 1, characterized in that: Determining the corresponding risk level according to the risk level score includes: Subtracting the risk level score corresponding to each of the risk security points from the risk determination threshold to obtain a difference result corresponding to each of the risk security points; The risk level corresponding to each of the risk security points is determined according to the difference results corresponding to each of the risk security points.

4. The method for integrated safety and fire protection data management according to any one of claims 1 to 3, characterized in that: Before matching the target processing strategy corresponding to the risk security point in a preset strategy library according to the risk level, the method further includes: When there are multiple risk security points, obtaining the actual positions of the multiple risk security points; Determine whether there is an adjacent relationship and / or a surrounding relationship between the plurality of risk security points according to the actual positions, wherein the adjacent relationship is determined based on whether the distance between any two of the risk security points is less than a preset distance threshold, and the surrounding relationship is determined based on whether any of the risk security points is surrounded by the other plurality of risk security points according to the position distribution of the plurality of risk security points in the target area; If so, the risk security points having the adjacent relationship and / or the surrounding relationship are used as risk security points to be upgraded, and the risk level is updated according to the number of risk security points to be upgraded.

5. The method for integrated safety and fire protection data management according to claim 1, characterized in that: According to the risk level, a target processing strategy corresponding to the risk security point is matched in a preset strategy library, including: Extracting description tags pre-added to each processing strategy in the strategy library, wherein the description tags include level tags and measure complexity tags; Matching the risk level with the level label, and using the successfully matched processing strategy as an alternative processing strategy; The candidate processing strategies are sorted according to the measure complexity labels, and the candidate processing strategy with the lowest complexity is selected as the target processing strategy.

6. The method for integrated safety and fire protection data management according to claim 5, characterized in that: Executing the security control instruction includes: Monitor and record the execution status of the security control instructions, and generate integrated security and fire protection feedback information based on the execution status; If the feedback information is an execution exception, the target processing strategy is marked as invalid in the candidate processing strategies, and a new target processing strategy is reselected from the remaining candidate processing strategies.

7. A safety and fire protection integrated management platform, characterized in that: The platform includes: An IoT integrated unit, used to obtain environmental information of each security point in the target area, the environmental information including gas concentration information, personnel activity information, equipment status information and fire situation information; A feature extraction unit is used to extract features from the environmental information to obtain target features corresponding to each of the security points in the target area, wherein the target features include gas concentration change trend features, personnel flow pattern features, equipment operation status features, and fire situation intensity features; The risk calculation unit is used to calculate the risk degree score corresponding to each of the security points based on the preset feature weights of each feature in the target feature, the corresponding feature scores and the corresponding risk expansion adjustment coefficients. The risk expansion adjustment coefficient is dynamically determined according to the score interval of each feature score. Specifically, the risk degree score corresponding to each of the security points is calculated according to the feature weights, feature scores and risk expansion adjustment coefficients corresponding to the gas concentration change trend characteristics, the personnel flow pattern characteristics, the equipment operation status characteristics and the fire situation intensity characteristics. The specific expression is as follows: in, Indicates the risk level score of the security point. represents the feature weight preset for the i-th feature, represents the feature score corresponding to the i-th feature, represents the risk expansion adjustment coefficient of the i-th feature. The risk expansion adjustment coefficient depends on The score range in which it is located; A level determination unit, used to take the security point whose risk level score is higher than a preset risk determination threshold as a risk security point, and determine the risk level corresponding to the risk security point according to the risk level score; A strategy matching unit, used to match the target processing strategy corresponding to the risk security point in a preset strategy library according to the risk level, wherein the target processing strategy includes emergency measures and security control instructions corresponding to the emergency measures; The emergency response unit is used to execute the security control instructions to perform security management and control on the risk security points.

8. A storage medium, characterized in that: The storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the safety and fire protection integrated data management method as described in any one of claims 1 to claim 6.

9. A processor, characterized in that: The processor is used to run a program, wherein the program, when running, executes the safety and fire protection integrated data management method as described in any one of claims 1 to claim 6.

Images