Fire alarm system maintenance management method, system, device and storage medium

Abstract

The application provides a fire automatic alarm system maintenance management method, system, device and storage medium, relates to the technical field of safety management, and the method comprises the following steps: acquiring first position information and environment information of a target detector in a fire automatic alarm system of a chemical plant; determining an importance level of the target detector according to the first position information, and determining a first inspection plan of the target detector according to the importance level; acquiring a working parameter of the target detector, combining the environment information and the working parameter to generate an attenuation coefficient of the target detector; adjusting the first inspection plan according to the attenuation coefficient to generate a second inspection plan; acquiring a third inspection plan and second position information of an associated detector of the target detector, combining the third inspection plan and the second position information to adjust the second inspection plan, and generating a target inspection plan of the target detector. The application has the technical effect that the utilization efficiency of inspection resources is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of safety management, and particularly relates to a fire automatic alarm system maintenance management method, system, device and storage medium. BACKGROUND

[0002] In the fire automatic alarm system of a chemical plant, the formulation of an inspection plan is a key link to ensure the reliable operation of a detector. The main purpose of the inspection is to find and eliminate potential hazards by checking the working state, installation environment and related parameters of the detector, so as to ensure that the fire alarm system can respond to fire signals in a timely and accurate manner.

[0003] At present, the formulation of the inspection plan usually adopts a fixed cycle inspection mode, that is, all detectors are uniformly checked according to a preset time interval. This mode can meet the maintenance needs of the basic functions of the detector to a certain extent, but it lacks the dynamic adaptation ability to the differentiated characteristics of the inspection objects, resulting in unreasonable allocation of inspection resources and low utilization efficiency of the inspection resources. SUMMARY

[0004] The present application provides a fire automatic alarm system maintenance management method, system, device and storage medium, which is used for improving the utilization efficiency of the inspection resources.

[0005] In a first aspect, the present application provides a fire automatic alarm system maintenance management method, which comprises the following steps: acquiring first position information and environmental information of a target detector in a fire automatic alarm system of a chemical plant; determining an importance level of the target detector according to the first position information, and determining a first inspection plan of the target detector according to the importance level; acquiring working parameters of the target detector, generating a decay coefficient of the target detector in combination with the environmental information and the working parameters; adjusting the first inspection plan according to the decay coefficient to generate a second inspection plan; acquiring a third inspection plan and second position information of an associated detector of the target detector, and adjusting the second inspection plan in combination with the third inspection plan and the second position information to generate a target inspection plan of the target detector.

[0006] By adopting the technical scheme, the first position information and the environment information of the target detector are acquired, a first inspection plan is formulated in combination with the importance level, and preliminary reasonable allocation of maintenance resources is realized. Further, the attenuation coefficient is generated in combination with the working parameter and the environment information, and the second inspection plan is adjusted according to the attenuation coefficient, so that the inspection frequency is matched with the actual state of the detector. Finally, the third inspection plan of the associated detector and the second position information are acquired to perform collaborative optimization, and the generated target inspection plan not only ensures the maintenance quality of a single detector, but also improves the regional inspection efficiency. The multi-level optimization mechanism realizes precise management of maintenance work and improves the utilization efficiency of inspection resources.

[0007] Optionally, the importance level of the target detector is determined according to the first position information, and the first inspection plan of the target detector is determined according to the importance level, including: determining a regional function type corresponding to the first position information; determining the importance level of the target detector according to the regional function type, wherein the importance level includes a high importance level, a medium importance level and a low importance level; generating an inspection period of the target detector according to the importance level, and taking the inspection period as the first inspection plan of the target detector, and the importance level is inversely proportional to the inspection period.

[0008] By adopting the technical scheme, the first position information is correspondingly related to the regional function type, and then the detectors are divided into three importance levels of high, medium and low based on the regional function characteristics, and an inspection period inversely proportional to the importance level is set, so that the inspection resources are focused on the high-risk areas. The hierarchical management mechanism based on the regional function makes the maintenance plan more consistent with the safety requirements of different areas of the chemical plant.

[0009] Optionally, the working parameter includes the number of failures and the use time length, and the attenuation coefficient of the target detector is generated in combination with the environment information and the working parameter, including: generating a first attenuation coefficient according to the number of failures, and the number of failures is proportional to the first attenuation coefficient; generating a second attenuation coefficient according to the use time length, and the use time length is proportional to the second attenuation coefficient; performing weighted calculation on the first attenuation coefficient and the second attenuation coefficient to generate an initial attenuation coefficient of the target detector; and adjusting the initial attenuation coefficient according to the environment information to generate the attenuation coefficient of the target detector.

[0010] By adopting the technical scheme, the failure times and the use time of the detector are quantified into the first attenuation coefficient and the second attenuation coefficient respectively, and the environment information is combined for weighted calculation and adjustment, so that comprehensive evaluation of the performance state of the detector is realized. The attenuation coefficient calculation method of multi-parameter fusion accurately reflects the reliability level and performance degradation degree of the detector, provides a scientific basis for accurate adjustment of the subsequent inspection plan, and effectively improves the accuracy of maintenance decision.

[0011] Optionally, the adjusting the initial attenuation coefficient according to the environment information to generate the attenuation coefficient of the target detector comprises: acquiring, according to the environment information, average temperature, average humidity and average corrosive gas concentration of an environment in which the target detector is located within the use time; calculating a temperature difference value of the average temperature and a standard temperature, a humidity difference value of the average humidity and a standard humidity, and a concentration difference value of the average corrosive gas concentration and a standard concentration; generating a first adjustment coefficient, a second adjustment coefficient and a third adjustment coefficient according to the temperature difference value, the humidity difference value and the concentration difference value, the temperature difference value being proportional to the first adjustment coefficient, the humidity difference value being proportional to the second adjustment coefficient, and the concentration difference value being proportional to the third adjustment coefficient; and performing weighted summation on the first adjustment coefficient, the second adjustment coefficient and the third adjustment coefficient to obtain an environment adjustment coefficient; and performing arithmetic multiplication of the initial attenuation coefficient and the environment adjustment coefficient to generate the attenuation coefficient of the target detector.

[0012] By adopting the technical scheme, the difference between the environment parameters and the standard values is calculated, the corresponding adjustment coefficients are generated and weighted processing is performed, and finally the initial attenuation coefficient is corrected by the environment adjustment coefficient. The fine adjustment method based on multiple environment factors accurately quantifies the influence degree of the environment conditions on the performance of the detector, so that the finally generated attenuation coefficient more objectively reflects the actual working state of the detector, and provides a reliable basis for formulating a scientific maintenance strategy.

[0013] Optionally, the adjusting the initial attenuation coefficient according to the environment information to generate the attenuation coefficient of the target detector comprises: acquiring, according to the environment information, average temperature, average humidity and average corrosive gas concentration of an environment in which the target detector is located within the use time; calculating a temperature difference value of the average temperature and a standard temperature, a humidity difference value of the average humidity and a standard humidity, and a concentration difference value of the average corrosive gas concentration and a standard concentration; generating a first adjustment coefficient, a second adjustment coefficient and a third adjustment coefficient according to the temperature difference value, the humidity difference value and the concentration difference value, the temperature difference value being proportional to the first adjustment coefficient, the humidity difference value being proportional to the second adjustment coefficient, and the concentration difference value being proportional to the third adjustment coefficient; and performing weighted summation on the first adjustment coefficient, the second adjustment coefficient and the third adjustment coefficient to obtain an environment adjustment coefficient; and performing arithmetic multiplication of the initial attenuation coefficient and the environment adjustment coefficient to generate the attenuation coefficient of the target detector.

[0014] By adopting the technical scheme, the corresponding relationship between the attenuation coefficient and the inspection period adjustment coefficient is established, and the adjustment coefficient is arithmetically operated with the inspection period in the first inspection plan to generate a more accurate second inspection plan. The dynamic adjustment mechanism based on the attenuation coefficient enables the inspection frequency to be adaptively adjusted according to the change of the performance state of the detector, ensures that the detector with a serious performance attenuation can be more timely maintained and checked, and improves the pertinence and effectiveness of the maintenance work.

[0015] Optionally, the second position information is combined with the third inspection plan to adjust the second inspection plan to generate a target inspection plan of the target detector, including: calculating the distance between the target sensor and the associated sensor according to the second position information, if the distance is greater than a preset distance, taking the second inspection plan as the target inspection plan of the target detector; if the distance is less than the preset distance, obtaining a third inspection period in the third inspection plan; when the cycle interval length of the third inspection period and the inspection period in the second inspection plan is less than a preset length, adjusting the inspection period in the second inspection plan to the third inspection period to generate the target inspection plan of the target detector; when the cycle interval length of the third inspection period and the inspection period in the second inspection plan is not less than the preset length, taking the second inspection plan as the target inspection plan of the target detector.

[0016] By adopting the technical scheme, the spatial distance between the target detector and the associated detector is calculated, and the inspection period interval is compared when the distance is less than a preset value, so that the intelligent coordination of the inspection plans of adjacent detectors is realized. The dual judgment mechanism based on the spatial position and the time interval ensures the maintenance needs of the detector and realizes the overall arrangement of the regional inspection work, avoids unnecessary plan adjustment, improves the inspection efficiency of the maintenance personnel, and makes the finally generated target inspection plan more practical.

[0017] Optionally, after the target inspection plan of the target detector is generated, the target inspection plan is further sent to a terminal device of an operation personnel to enable the operation personnel to inspect the target detector according to the target inspection plan; and feedback information sent by the terminal device is received, and the target inspection plan is adjusted according to the feedback information to generate a final inspection plan of the target detector.

[0018] By adopting the technical scheme, the terminal device realizes the issuing and execution of the inspection plan and the collection and analysis of feedback information, and a closed-loop mechanism of maintenance management is established. The method of dynamically adjusting the target inspection plan based on actual execution effect makes the finally generated inspection plan more consistent with the actual field operation, thereby improving the execution efficiency and quality of maintenance work and providing practical data support for continuous optimization of the inspection plan.

[0019] In a second aspect, the application provides a fire automatic alarm system maintenance management system, comprising: an acquisition module, a determination module, a combination module, a first adjustment module and a second adjustment module, wherein,

[0020] The acquisition module is configured to acquire first position information and environmental information of a target detector in a fire automatic alarm system of a chemical plant; the determination module is configured to determine an importance level of the target detector according to the first position information, and determine a first inspection plan of the target detector according to the importance level; the combination module is configured to acquire working parameters of the target detector, combine the environmental information and the working parameters to generate an attenuation coefficient of the target detector; the first adjustment module is configured to adjust the first inspection plan according to the attenuation coefficient to generate a second inspection plan; and the second adjustment module is configured to acquire a third inspection plan and second position information of an associated detector of the target detector, combine the third inspection plan and the second position information to adjust the second inspection plan, and generate a target inspection plan of the target detector.

[0021] In a third aspect, the application provides an electronic device, adopting the following technical scheme: comprising a processor, a memory, a user interface and a network interface, the memory is configured to store instructions, the user interface and the network interface are configured to communicate with other devices, and the processor is configured to execute the instructions stored in the memory to enable the electronic device to execute the computer program of any of the above fire automatic alarm system maintenance management methods.

[0022] In a fourth aspect, the application provides a computer readable storage medium, adopting the following technical scheme: storing a computer program capable of being loaded and executed by a processor to execute any of the above fire automatic alarm system maintenance management methods.

[0023] In summary, the application has at least one of the following beneficial technical effects:

[0024] By acquiring the first position information and the environment information of the target detector, a first inspection plan is formulated in combination with the importance level, so that preliminary reasonable allocation of maintenance resources is realized. Further, the attenuation coefficient is generated by the working parameter and the environment information, and the second inspection plan is adjusted accordingly, so that the inspection frequency is matched with the actual state of the detector. Finally, the third inspection plan of the associated detector and the second position information are acquired for collaborative optimization, and the generated target inspection plan ensures the maintenance quality of a single detector and improves the regional inspection efficiency. The multi-level optimization mechanism realizes the precision management of the maintenance work and improves the utilization efficiency of the inspection resources. BRIEF DESCRIPTION OF DRAWINGS

[0025] Figure 1 is a flowchart of a fire automatic alarm system maintenance management method provided by an embodiment of the present application;

[0026] Figure 2 is a structural diagram of a fire automatic alarm system maintenance management system provided by an embodiment of the present application;

[0027] Figure 3 is a structural diagram of an electronic device provided by an embodiment of the present application.

[0028] The following items are explained: 1000, electronic device; 1001, processor; 1002, communication bus; 1003, user interface; 1004, network interface; 1005, memory. DETAILED DESCRIPTION

[0029] In order to enable personnel in the technical field to better understand the technical solutions in the present specification, the technical solutions in the present specification will be clearly and completely described below in combination with the drawings in the embodiments of the present specification. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments.

[0030] In the description of the embodiments of the present application, the words such as "exemplary", "for example", or "for instance" are used to represent an example, illustration, or description. Any embodiment or design scheme described as "exemplary", "for example", or "for instance" in the embodiments of the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the words such as "exemplary", "for example", or "for instance" are intended to present the relevant concept in a specific manner.

[0031] Figure 1 is a flowchart of a fire automatic alarm system maintenance management method provided by an embodiment of the present application. As shown in Figure 1 , the method comprises S101-S105:

[0032] S101, obtain first position information and environment information of a target detector in a fire automatic alarm system of a chemical plant.

[0033] In specific implementation, the target detector in the fire automatic alarm system is usually installed in different areas of the chemical plant. In order to realize scientific maintenance management of the detector, first, the first position information and the environment information of the target detector need to be obtained. The first position information includes the specific installation position coordinates of the target detector and the related information of the area where the target detector is located, for example, the target detector is installed at the northeast corner of the Class A warehouse of the chemical plant. The environment information includes the temperature, humidity, and whether there is corrosive gas and other environmental parameters in the area where the target detector is located. These information can be automatically obtained through the building information model (BIM) system or the environment monitoring system of the chemical plant, or can be obtained through manual input.

[0034] The purpose of obtaining the first position information and the environment information is to provide basic data support for subsequent scientific and reasonable inspection plan. Because the importance and danger level of different areas of the chemical plant are different, and the environmental conditions are different, these factors will affect the service life and reliability of the detector. For example, in the area with corrosive gas, the detector may accelerate aging; in the high temperature and high humidity environment, the sensitivity of the detector may change. Therefore, by obtaining these basic information, the foundation for subsequent targeted inspection plan can be laid.

[0035] S102, according to the first position information, determine the importance level of the target detector, and according to the importance level, determine the first inspection plan of the target detector.

[0036] In specific implementation, first, the function type of the area where the target detector is located is determined according to the first position information. The function type of the area of the chemical plant can be divided into the following categories: Class A dangerous goods warehouse, production workshop, control room, power distribution room, office area, etc. Among them, the Class A dangerous goods warehouse and the production workshop have higher fire risk because of the existence of flammable and explosive substances, so the detectors in these areas are divided into high importance level; the control room and the power distribution room are not directly related to dangerous goods, but once a failure occurs, it may cause the entire production system to be paralyzed, so the detectors in these areas are divided into medium importance level; and the detectors in auxiliary areas such as office areas are divided into low importance level.

[0037] After determining the importance level, the system automatically generates a corresponding inspection cycle, which serves as the first inspection plan for the target detector. The inspection cycle is inversely proportional to the importance level, i.e., the higher the importance level, the shorter the inspection cycle. For example, for a detector with a high importance level, it can be set to be inspected once a week; for a detector with a medium importance level, it can be set to be inspected once every two weeks; and for a detector with a low importance level, it can be set to be inspected once a month. This differentiated inspection cycle setting can ensure that limited maintenance resources are optimally allocated.

[0038] For example, if the target detector is located in a Class A dangerous goods warehouse, and its first location information shows that the warehouse is mainly used for storing flammable chemicals, the system will classify the detector as high importance level and automatically generate a weekly inspection cycle as its first inspection plan. Such an inspection frequency can timely discover and handle potential problems of the detector, ensuring its continuous and reliable operation.

[0039] Based on the above embodiments, as an optional implementation, in S102, according to the first location information, the importance level of the target detector is determined, and according to the importance level, the first inspection plan of the target detector is determined, which specifically includes S21-S23:

[0040] S21, determining the region function type corresponding to the first location information.

[0041] In the specific implementation process, first, the function type of the region where the target detector is located is determined according to the first location information of the target detector. The region function type of the chemical plant can be divided into the following categories: dangerous goods production and storage area, including reaction device area, dangerous goods tank area, Class A warehouse, etc.; important function area, including central control room, power distribution room, fire control room, etc.; auxiliary production area, including general production workshop, ordinary warehouse, etc.; office and living area, including office, conference room, canteen, etc. Through the query of the plan layout and function partition statement of the chemical plant, the function type of the region where the target detector is located can be accurately determined.

[0042] S22, determining the importance level of the target detector according to the region function type, wherein the importance level includes high importance level, medium importance level and low importance level.

[0043] After determining the region function type, the system automatically determines the importance level of the target detector according to the preset corresponding relationship. Specifically, the detectors in the dangerous goods production and storage area are classified as high importance level, because these areas contain flammable and explosive substances, and once a fire occurs, it will cause serious consequences; the detectors in the important function area are classified as medium importance level, because these areas are not directly related to dangerous goods, but have important influence on the safe operation of the whole production system; the detectors in the auxiliary production area and office and living area are classified as low importance level, because the fire risk of these areas is relatively low.

[0044] S23, generating a patrol cycle of the target detector according to the importance level, the patrol cycle being taken as a first patrol plan of the target detector, the importance level being inversely proportional to the patrol cycle.

[0045] After the importance level is determined, the system automatically generates the patrol cycle of the target detector according to a preset conversion relationship, and takes the cycle as the first patrol plan. The following conversion standard can be adopted: the patrol cycle of a high-importance-level detector is 7 days, the patrol cycle of a medium-importance-level detector is 14 days, and the patrol cycle of a low-importance-level detector is 30 days. This setting reflects the inverse proportional relationship between the importance level and the patrol cycle, that is, the higher the importance level, the shorter the patrol cycle, and the higher the patrol frequency.

[0046] S103, obtaining a working parameter of the target detector, and generating a decay coefficient of the target detector in combination with the environment information and the working parameter.

[0047] In the specific implementation process, first, the working parameters of the target detector are obtained through the management platform of the fire automatic alarm system, mainly including two key indicators of the fault frequency and the use duration. The fault frequency refers to the cumulative number of false alarms, failures and other faults since the detector is put into use; and the use duration refers to the cumulative running time of the detector from the installation date to the present. These working parameters can directly reflect the use condition and reliability level of the detector.

[0048] Based on the obtained working parameters, the system first generates a first decay coefficient according to the fault frequency. The fault frequency is positively proportional to the first decay coefficient, that is, the more the fault frequency, the greater the first decay coefficient. For example, it can be set that when the fault frequency is within 3 times, the first decay coefficient is 1.0; when the fault frequency is 4-6 times, the first decay coefficient is 1.2; and when the fault frequency exceeds 6 times, the first decay coefficient is 1.5. This setting reflects the adverse effect of frequent faults on the reliability of the detector.

[0049] At the same time, the system generates a second decay coefficient according to the use duration. The use duration is also positively proportional to the second decay coefficient, because the detector will naturally age with the increase of the use time. For example, it can be set that when the use duration is within 2 years, the second decay coefficient is 1.0; when the use duration is 2-4 years, the second decay coefficient is 1.3; and when the use duration exceeds 4 years, the second decay coefficient is 1.6.

[0050] The first attenuation coefficient and the second attenuation coefficient are weighted to obtain the initial attenuation coefficient. The specific calculation formula is: initial attenuation coefficient = W1*first attenuation coefficient + W2*second attenuation coefficient, wherein W1 and W2 are weight coefficients, and W1+W2=1. Usually, W1=0.6 and W2=0.4 can be set, because the fault condition has a more direct and serious impact on the reliability of the detector.

[0051] After obtaining the initial attenuation coefficient, it also needs to be adjusted in combination with the previously obtained environmental information. The system calculates the influence degree of the environment on the performance of the detector according to the temperature, humidity and corrosive gas concentration of the environment where the target detector is located, and then corrects the initial attenuation coefficient to obtain the attenuation coefficient of the target detector. For example, if the detector is in an environment with high temperature, high humidity or corrosive gas, the system will increase the attenuation coefficient accordingly to reflect the influence of the harsh environment on the service life of the detector.

[0052] On the basis of the above embodiment, as an optional implementation, in S103, the working parameters include the number of faults and the use time, and the attenuation coefficient of the target detector is generated in combination with the environmental information and the working parameters, which specifically includes S31-S34:

[0053] S31, generating a first attenuation coefficient according to the number of faults, and the number of faults is proportional to the first attenuation coefficient.

[0054] In the specific implementation process, first, the first attenuation coefficient is generated according to the number of faults of the target detector. The system queries the fault record database of the fire automatic alarm system to count the cumulative number of faults such as false alarms and failures of the target detector since it was put into use. According to the number of faults, a segmented function is used to determine the specific value of the first attenuation coefficient. For example, when the number of faults n≤3 times, the first attenuation coefficient is ; when 3<n≤6 times, ; when n>6 times, . This setting reflects the proportional relationship that the more the number of faults, the greater the first attenuation coefficient, which reflects the negative impact of frequent faults on the reliability of the detector.

[0055] S32, generating a second attenuation coefficient according to the use time, and the use time is proportional to the second attenuation coefficient.

[0056] The system generates a second attenuation coefficient according to the use time of the target detector. By calculating the cumulative running time t of the detector from the date of installation to the present (in years), and using a similar segmented function to determine the second attenuation coefficient. For example, when t≤2 years, the second attenuation coefficient is ; when 2<t≤4 years, ; when t>4 years, The setting reflects the natural aging of the detector with the increase of the use time, and the longer the use time is, the greater the second attenuation coefficient is.

[0057] S33, the first attenuation coefficient and the second attenuation coefficient are weighted and calculated to generate the initial attenuation coefficient of the target detector.

[0058] After obtaining the first attenuation coefficient and the second attenuation coefficient, the system generates the initial attenuation coefficient by weighted calculation. The calculation formula is: initial attenuation coefficient , wherein and is a weight coefficient, and . Generally, a is set to 0.5 , This is because the failure condition has a more direct and urgent impact on the reliability of the detector. For example, the failure times of a certain detector are 5 times (a ), the use time is 3 years (b ), and the initial attenuation coefficient of the detector is .

[0059] S34, the initial attenuation coefficient is adjusted according to the environmental information to generate the attenuation coefficient of the target detector.

[0060] Finally, the system needs to adjust the initial attenuation coefficient according to the environmental information to generate the final attenuation coefficient. The environmental information mainly includes temperature, humidity, corrosive gas concentration and other parameters. The system first calculates the deviation of these environmental parameters from the standard working conditions, and then determines the environmental adjustment coefficient β according to the deviation value. For example, when the environmental conditions are close to the standard conditions, β = 1.0; when there is a significant deviation, β = 1.2; when the deviation is large, β = 1.5. The final attenuation coefficient K is obtained by multiplying the initial attenuation coefficient and the environmental adjustment coefficient, that is, .

[0061] On the basis of the above embodiment, as an optional implementation, in S34, the initial attenuation coefficient is adjusted according to the environmental information to generate the attenuation coefficient of the target detector, which specifically includes S341-S345:

[0062] S341, according to the environmental information, the average temperature, the average humidity and the average corrosive gas concentration of the environment in which the target detector is located within the use time are obtained.

[0063] Firstly, the system needs to obtain the average parameter values of the target detector in the entire use duration. By querying the historical data of the environmental monitoring system, the average temperature, average humidity and average corrosive gas concentration are calculated. For example, during the use of a detector for 3 years, the average temperature of the environment it is in is 35℃, the average relative humidity is 85%, and the average corrosive gas concentration is 5ppm. These average values can better reflect the long-term exposure of the detector to the environment.

[0064] S342, the temperature difference between the average temperature and the standard temperature, the humidity difference between the average humidity and the standard humidity, and the concentration difference between the average corrosive gas concentration and the standard concentration are calculated.

[0065] Then, the system compares these average values with the standard working parameters of the detector and calculates the corresponding differences. Assuming that the standard working environment of the detector is: temperature 25℃, relative humidity 65%, and corrosive gas concentration 1ppm. Then the temperature difference ΔT=10℃, the humidity difference ΔH=20%, and the concentration difference ΔC=4ppm can be calculated. These differences intuitively reflect the degree of deviation of the actual environment from the standard conditions.

[0066] S343, according to the temperature difference, humidity difference and concentration difference, the first adjustment coefficient, second adjustment coefficient and third adjustment coefficient are generated correspondingly, the temperature difference is proportional to the first adjustment coefficient, the humidity difference is proportional to the second adjustment coefficient, and the concentration difference is proportional to the third adjustment coefficient.

[0067] According to the calculated differences, the system generates the corresponding adjustment coefficients using piecewise functions. For the temperature difference, when ΔT≤5℃, the first adjustment coefficient ; when 5℃<ΔT≤15℃, ; when ΔT>15℃, . Similarly, for the humidity difference, when ΔH≤10%, the second adjustment coefficient ; when 10%<ΔH≤30%, ; when ΔH>30%, . For the concentration difference, when ΔC≤2ppm, the third adjustment coefficient ; when 2ppm<ΔC≤6ppm, ; when ΔC>6ppm, .

[0068] S344, the first adjustment coefficient, the second adjustment coefficient and the third adjustment coefficient are weighted and summed to obtain the environmental adjustment coefficient.

[0069] The three adjustment coefficients are weighted and summed to obtain the comprehensive environmental adjustment coefficient β. The calculation formula is: , where is the weight coefficient, and Considering that different environmental factors have different degrees of influence on the detector, the weight of each environmental factor can be set as follows: Among them, the weight of the corrosive gas is the largest because its corrosive damage to the detector is more serious. Substituting the numerical value into the formula, we get: .

[0070] S345, the initial attenuation coefficient is multiplied by the environmental adjustment coefficient to generate the attenuation coefficient of the target detector.

[0071] Finally, the initial attenuation coefficient K0 is multiplied by the environmental adjustment coefficient β to obtain the final attenuation coefficient K of the target detector. Assuming that the initial attenuation coefficient K0 is , then the final attenuation coefficient K is . This result reflects the use of the detector and the environmental impact, providing an important basis for subsequent inspection plan adjustment.

[0072] S104, according to the attenuation coefficient, adjust the first inspection plan to generate the second inspection plan.

[0073] In implementation, first, the corresponding relationship between the attenuation coefficient and the inspection period adjustment coefficient needs to be established. This corresponding relationship can be realized by table lookup, for example, when the attenuation coefficient is between 1.0-1.2, the corresponding inspection period adjustment coefficient is 1.2; when the attenuation coefficient is between 1.2-1.5, the adjustment coefficient is 1.5; when the attenuation coefficient is greater than 1.5, the adjustment coefficient is 2.0. This setting ensures that the more serious the performance attenuation of the detector, the higher the inspection frequency it obtains.

[0074] After obtaining the inspection period adjustment coefficient, the system multiplies it by the inspection period in the first inspection plan to obtain the adjusted inspection period. For example, a certain target detector originally has a monthly inspection period in the first inspection plan, if its attenuation coefficient is 1.4, the corresponding inspection period adjustment coefficient is 1.5, then the adjusted inspection period is every 20 days (30 days ÷ 1.5 ≈ 20 days). This adjusted inspection period constitutes the second inspection plan.

[0075] Through this adjustment mechanism, the system can dynamically adjust the inspection frequency according to the actual performance state of the detector. For detectors with obvious performance attenuation, increasing the inspection frequency can timely discover and handle potential problems; while for detectors with good performance, a relatively low inspection frequency can be maintained, thereby realizing the optimal allocation of maintenance resources.

[0076] For example, assume that a target detector is located in a production workshop and belongs to a high importance level, and its first inspection plan is to perform inspection once a week. After using state evaluation, it is found that the attenuation coefficient of the detector reaches 1.6, and the corresponding inspection period adjustment coefficient is 2.0. Then in the second inspection plan, the inspection period of the detector is adjusted to be once every 3-4 days (7 days ÷ 2.0 ≈ 3.5 days). This adjustment fully considers the performance attenuation status of the detector and helps to improve the pertinence and effectiveness of maintenance.

[0077] On the basis of the above embodiment, as an optional implementation, in S104, the second inspection plan is generated by adjusting the first inspection plan according to the attenuation coefficient, specifically including S41-S42:

[0078] S41, an inspection period adjustment coefficient corresponding to the attenuation coefficient is obtained.

[0079] S42, the inspection period adjustment coefficient is arithmetically multiplied with the inspection period in the first inspection plan to generate an adjusted inspection period, and the adjusted inspection period is taken as the second inspection plan.

[0080] In the specific implementation process, first, the corresponding relationship between the attenuation coefficient and the inspection period adjustment coefficient needs to be established. The system determines this corresponding relationship through a pre-set piecewise function: when the attenuation coefficient K≤1.2, the inspection period adjustment coefficient γ=1.2; when 1.2<K≤1.5, γ=1.2+(K-1.2)×2; and when K>1.5, γ=2.0. This setting embodies the principle that the more serious the attenuation degree is, the more the inspection frequency needs to be improved. For example, when the attenuation coefficient K of a certain target detector is 1.318, the corresponding inspection period adjustment coefficient γ is 1.436. This design of the corresponding relationship fully considers the influence of the performance attenuation of the detector on the maintenance demand.

[0081] After obtaining the inspection period adjustment coefficient, the system arithmetically multiplies it with the inspection period in the first inspection plan to obtain the adjusted inspection period. The calculation formula is: adjusted inspection period=original inspection period÷inspection period adjustment coefficient. Here, the division operation is used because when the adjustment coefficient is greater than 1, the inspection period actually needs to be shortened. For example, the inspection period of a high importance level detector in the first inspection plan is 7 days, its attenuation coefficient is 1.318, and the corresponding inspection period adjustment coefficient is 1.436. Then the adjusted inspection period=7÷1.436≈5 days. The system takes this adjusted inspection period as the second inspection plan of the detector.

[0082] S105, the third inspection plan of the associated detector of the target detector and the second position information are obtained, and the second inspection plan is adjusted in combination with the third inspection plan and the second position information to generate the target inspection plan of the target detector.

[0083] After generating the second inspection plan, the coordination between the target detector and the surrounding associated detectors also needs to be considered, because the detectors in adjacent areas often have mutual relevance in function, and reasonable coordination of their inspection plans can improve the efficiency of maintenance work. Associated detectors refer to other detectors that are close in spatial position to the target detector and have functional connections, such as multiple detectors in the same fire compartment.

[0084] In the specific implementation process, first, the third inspection plan and the second position information of the associated detector need to be obtained. The third inspection plan here refers to the current inspection plan of the associated detector, and the second position information refers to the installation position coordinates of the associated detector. The system can obtain these information by querying the database of the fire automatic alarm system.

[0085] According to the obtained second position information, the system will calculate the spatial distance between the target detector and the associated detector. If the calculated distance is greater than the preset distance (for example, 10 meters), it means that the relevance between the two detectors is weak, and the second inspection plan is directly used as the target inspection plan of the target detector without adjustment.

[0086] When the distance is less than the preset distance, the system will further compare the third inspection period in the third inspection plan with the inspection period in the second inspection plan. If the interval length of the two inspection periods is less than the preset length (for example, 2 days), in order to improve the maintenance efficiency, the system will adjust the inspection period of the target detector to the same third inspection period as the associated detector. In this way, the synchronous inspection of adjacent detectors can be realized, and the repeated back and forth of maintenance personnel can be reduced.

[0087] For example, assume that the second inspection plan of the target detector A is to inspect once every 5 days, and the third inspection plan of the associated detector B is to inspect once every 4 days, and the spatial distance between the two is 8 meters (less than the preset 10 meters). Since the inspection period interval of the two detectors is 1 day (less than the preset 2 days), the system will adjust the inspection period of detector A to once every 4 days, consistent with detector B, which constitutes the target inspection plan of detector A.

[0088] However, if the inspection period interval of the two detectors is not less than the preset length, the second inspection plan is maintained as the target inspection plan. This is to avoid excessive adjustment leading to deviation of the inspection plan from the maintenance needs of the detector itself. For example, if the inspection period of the associated detector is once every 8 days, which is 3 days different from the 5-day period of the target detector (greater than the preset 2 days), the inspection period of the target detector is maintained.

[0089] On the basis of the above embodiment, as an optional implementation, in S105, the second inspection plan is adjusted in combination with the third inspection plan and the second position information to generate the target inspection plan of the target detector, specifically including S51-S54:

[0090] S51, according to the second position information, the distance between the target sensor and the associated sensor is calculated, and if the distance is greater than a preset distance, the second inspection plan is taken as the target inspection plan of the target detector.

[0091] In the specific implementation process, first, the spatial distance between the target detector and the associated detector needs to be calculated according to the second position information. For example, the coordinates of a target detector A are (10, 15, 2), and the coordinates of an associated detector B are (13, 17, 2), and the distance D between the two is calculated to be approximately 3.61 meters.

[0092] The system compares the calculated distance with a preset distance (for example, set to 5 meters). If the distance is greater than the preset distance, it means that the spatial correlation between the two detectors is weak, and at this time, the cooperative effect does not need to be considered, and the second inspection plan is directly taken as the target inspection plan of the target detector. This processing method avoids unnecessary plan coordination for detectors with a relatively far spatial distance.

[0093] S52, if the distance is less than the preset distance, the third inspection period in the third inspection plan is obtained.

[0094] When the distance between the two detectors is less than the preset distance, the system will further obtain the inspection period in the third inspection plan of the associated detector. For example, the second inspection plan of the target detector A is to inspect once every 5 days, and the third inspection plan of the associated detector B which is relatively close is to inspect once every 4 days. The system will calculate the interval length between the two inspection periods, that is, |5-4|=1 day.

[0095] S53, when the period interval length of the third inspection period and the inspection period in the second inspection plan is less than a preset length, the inspection period in the second inspection plan is adjusted to the third inspection period to generate the target inspection plan of the target detector.

[0096] If the calculated period interval length is less than the preset length (for example, set to 2 days), considering the maintenance efficiency, the system will adjust the inspection period of the target detector to be consistent with the associated detector. In the above example, since the period interval length (1 day) is less than the preset length (2 days), the system will adjust the inspection period of detector A from 5 days to 4 days, which is consistent with detector B. The adjusted inspection plan is the target inspection plan of detector A.

[0097] S54, when the third patrol cycle and the cycle interval of the patrol cycle in the second patrol plan are not less than the preset time length, the second patrol plan is taken as the target patrol plan of the target detector.

[0098] However, if the interval of the patrol cycles of the two detectors is not less than the preset time length, the second patrol plan is maintained unchanged. For example, if the patrol cycle of the associated detector B is once every 7 days, which is 2 days different from the 5-day cycle of detector A, equal to the preset time length, at this time the system will directly take the second patrol plan (5 days) of detector A as its target patrol plan. This setting can avoid excessive adjustment to cause the patrol plan to deviate from the maintenance needs of the detector itself.

[0099] After generating the target patrol plan of the target detector, the method further includes:

[0100] sending the target patrol plan to the terminal device of the operation personnel, so that the operation personnel perform patrol on the target detector according to the target patrol plan; receiving feedback information sent by the terminal device, and adjusting the target patrol plan according to the feedback information to generate a final patrol plan of the target detector.

[0101] In the specific implementation process, the system will first send the generated target patrol plan to the mobile terminal device of the operation personnel in the form of a task list. This task list contains the specific location information, patrol cycle, patrol items, matters needing attention and the like of the target detector. For example, the patrol task information of a certain target detector can include: detector number HD-001, location coordinates (10, 15, 2), patrol cycle 4 days, patrol items including appearance inspection, performance test, data recording and the like. The operation personnel can clearly understand the patrol requirements and execution time of each detector through the mobile terminal device.

[0102] During the execution of the patrol task, the operation personnel need to record and upload various feedback information through the terminal device. These feedback information mainly include: patrol time record, detector running state, discovered problems, treatment measures, maintenance suggestions and the like. For example, the operation personnel discovers that a certain detector is in a relatively humid installation environment although its function is normal, which can accelerate the aging of the device, and this kind of situation needs to be recorded and fed back in a timely manner.

[0103] After receiving the feedback information sent by the terminal device, the system will perform intelligent analysis and processing. First, the system will evaluate the rationality of the current patrol cycle according to the patrol time record. If it is found that the patrol is often delayed or advanced at some time points, it is indicated that the current patrol cycle can need to be adjusted. Secondly, the system will analyze the running state information of the detector, and if a certain detector appears similar problems in continuous multiple patrols, the patrol frequency can need to be increased or special maintenance can be performed.

[0104] In the implementation process, the system first sends the generated target inspection plan to the mobile terminal device of the operator in the form of a task list. This task list contains the specific location information of the target detector, the inspection period, the inspection items, and the matters needing attention. For example, the inspection task information of a certain target detector may include: detector number HD-001, location coordinates (10, 15, 2), inspection period 4 days, and inspection items including appearance inspection, performance test, and data recording. The operator can clearly understand the inspection requirements and execution time of each detector through the mobile terminal device.

[0105] During the execution of the inspection task, the operator needs to record and upload various feedback information through the terminal device. These feedback information mainly includes: inspection time record, detector running state, discovered problems, treatment measures, and maintenance suggestions. For example, the operator may find that a detector is functioning normally, but its installation environment is relatively humid, which may accelerate the aging of the device. In this case, timely recording and feedback are required.

[0106] After receiving the feedback information sent by the terminal device, the system will perform intelligent analysis and processing. First, the system will evaluate the rationality of the current inspection period based on the inspection time record. If it is found that the inspection is often delayed or advanced at certain time points, it may be necessary to adjust the current inspection period. Second, the system will analyze the running state information of the detector. If a detector has similar problems in consecutive inspections, it may need to increase the inspection frequency or perform special maintenance.

[0107] Based on the analysis results of the feedback information, the system will adjust the target inspection plan accordingly to generate a more optimized final inspection plan. The adjustment methods include: fine-tuning the inspection period, adding specific inspection items, and adjusting the inspection route. For example, if the feedback information shows that there are a large number of device maintenance activities in the area where a detector is located every Tuesday, which may affect the development of the inspection work, the system will adjust the inspection time of the detector to avoid this time period.

[0108] Based on the above method, the application also discloses a fire automatic alarm system maintenance management system, as shown in Figure 2 , Figure 2 is a structural schematic diagram of a fire automatic alarm system maintenance management system provided by an embodiment of the application. The system comprises an acquisition module, a determination module, a combination module, a first adjustment module, and a second adjustment module. Among them,

[0109] The acquisition module is configured to acquire first position information and environment information of a target detector in a fire automatic alarm system of a chemical plant; the determination module is configured to determine an importance level of the target detector according to the first position information, and determine a first inspection plan of the target detector according to the importance level; the combination module is configured to acquire a working parameter of the target detector, combine the environment information and the working parameter to generate an attenuation coefficient of the target detector; the first adjustment module is configured to adjust the first inspection plan according to the attenuation coefficient to generate a second inspection plan; and the second adjustment module is configured to acquire a third inspection plan of an associated detector of the target detector and second position information, combine the third inspection plan and the second position information to adjust the second inspection plan, and generate a target inspection plan of the target detector.

[0110] It should be noted that the system provided in the above embodiments, when realizing its functions, is only exemplified by the above division of functional modules, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the above described functions. In addition, the system and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process is detailed in the method embodiments, which will not be described here.

[0111] Please refer to Figure 3 A structural schematic diagram of an electronic device is provided for the embodiments of the present application. As shown in the figure Figure 3 The electronic device 1000 can include at least one processor 1001, at least one network interface 1004, a user interface 1003, a memory 1005, and at least one communication bus 1002.

[0112] The communication bus 1002 is used to realize the connection and communication between the components.

[0113] The user interface 1003 can include a display screen (Display) and a camera (Camera), and the optional user interface 1003 can also include a standard wired interface and a wireless interface.

[0114] The network interface 1004 can optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0115] The processor 1001 can include one or more processing cores. The processor 1001 connects various parts within the server through various interfaces and lines, and performs various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 1005, and calling data stored in the memory 1005. Alternatively, the processor 1001 can be implemented in at least one of a hardware form of a digital signal processing (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA). The processor 1001 can integrate a combination of one or more of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. Among them, the CPU mainly processes operating systems, user interfaces, and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; and the modem is used for processing wireless communication. It can be understood that the above-mentioned modem can also not be integrated into the processor 1001, but can be realized by a separate chip.

[0116] The memory 1005 can include a random access memory (RAM) and a read-only memory (ROM). Optionally, the memory 1005 includes a non-transitory computer-readable storage medium. The memory 1005 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 1005 can include a program storage area and a data storage area, wherein the program storage area can store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area can store data involved in the above-mentioned various method embodiments, etc. The memory 1005 can also be at least one storage device located away from the above-mentioned processor 1001. As shown, the memory 1005 as a computer storage medium can include an operating system, a network communication module, a user interface module, and an application program of a fire automatic alarm system maintenance management method. Figure 3

[0117] In Figure 3 ​In the electronic device 1000 shown, the user interface 1003 is mainly used to provide an interface for the user to input, and obtain data input by the user; and the processor 1001 can be used to call an application program of a fire automatic alarm system maintenance management method stored in the memory 1005, which, when executed by one or more processors, causes the electronic device to perform the method described in one or more of the above embodiments.

[0118] An electronic device readable storage medium stores instructions that, when executed by one or more processors, cause an electronic device to perform the method described in one or more of the above embodiments.

[0119] It should be noted that, for the foregoing method embodiments, in order to simply describe, they are all described as a combination of a series of actions, but those skilled in the art should know that the present application is not limited to the order of the actions described, because according to the present application, certain steps can be performed in other orders or at the same time. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0120] In the above embodiments, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0121] In several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division, and there can be another division manner in actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some services, interfaces, devices or units, and can be electrical or other forms.

[0122] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e. they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0123] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically, or two or more units can be integrated into one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0124] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable memory. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a memory and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in the embodiments of the present application. The aforementioned memory includes: a U disk, a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0125] The above is only exemplary embodiments of the present disclosure, and cannot limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon considering the specification and practicing the disclosure herein. The present application is intended to cover any variations, uses or adaptive changes of the present disclosure that follow the general principles of the present disclosure and include common knowledge or conventional techniques in the art that are not described in the present disclosure. The specification and examples are only considered as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A maintenance management method for a fire automatic alarm system, characterized by, The method comprises: obtaining first position information and environment information of a target detector in a fire automatic alarm system of a chemical plant; determining an importance level of the target detector according to the first position information, and determining a first inspection plan of the target detector according to the importance level; obtaining a working parameter of the target detector, combining the environment information and the working parameter to generate a decay coefficient of the target detector; adjusting the first inspection plan according to the decay coefficient to generate a second inspection plan; obtaining a third inspection plan and second position information of an associated detector of the target detector, combining the third inspection plan and the second position information to adjust the second inspection plan to generate a target inspection plan of the target detector; the third inspection plan is a currently executed inspection plan of the associated detector, and the second position information is an installation position coordinate of the associated detector; the combining the third inspection plan and the second position information to adjust the second inspection plan to generate the target inspection plan of the target detector comprises: calculating a distance between the target detector and the associated detector according to the second position information, if the distance is greater than a preset distance, taking the second inspection plan as the target inspection plan of the target detector; if the distance is less than the preset distance, obtaining a third inspection period in the third inspection plan; when a cycle interval time length of the third inspection period and an inspection period in the second inspection plan is less than a preset time length, adjusting the inspection period in the second inspection plan to the third inspection period to generate the target inspection plan of the target detector; when the cycle interval time length of the third inspection period and the inspection period in the second inspection plan is not less than the preset time length, taking the second inspection plan as the target inspection plan of the target detector.

2. The fire alarm system maintenance management method according to claim 1, characterized by, the determining the importance level of the target detector according to the first position information, and determining the first inspection plan of the target detector according to the importance level comprises: determining a region function type corresponding to the first position information; determining the importance level of the target detector according to the region function type, wherein the importance level comprises a high importance level, a medium importance level and a low importance level; generating an inspection period of the target detector according to the importance level, taking the inspection period as the first inspection plan of the target detector, and the importance level is inversely proportional to the inspection period.

3. The fire alarm system maintenance management method according to claim 1, characterized by, the working parameter comprises a failure frequency and a use time length, and the combining the environment information and the working parameter to generate the decay coefficient of the target detector comprises: generating a first decay coefficient according to the failure frequency, and the failure frequency is proportional to the first decay coefficient; generating a second decay coefficient according to the use time length, and the use time length is proportional to the second decay coefficient; performing weighted calculation on the first decay coefficient and the second decay coefficient to generate an initial decay coefficient of the target detector; Adjust the initial attenuation coefficient according to the environment information to generate the attenuation coefficient of the target detector.

4. The fire alarm system maintenance management method according to claim 3, characterized by, The adjusting the initial attenuation coefficient according to the environment information to generate the attenuation coefficient of the target detector comprises: According to the environment information, the average temperature, the average humidity and the average corrosive gas concentration of the environment in which the target detector is located within the use duration are obtained; The temperature difference between the average temperature and the standard temperature, the humidity difference between the average humidity and the standard humidity, and the concentration difference between the average corrosive gas concentration and the standard concentration are calculated; According to the temperature difference, the humidity difference and the concentration difference, a first adjustment coefficient, a second adjustment coefficient and a third adjustment coefficient are correspondingly generated, the temperature difference is proportional to the first adjustment coefficient, the humidity difference is proportional to the second adjustment coefficient, and the concentration difference is proportional to the third adjustment coefficient; The first adjustment coefficient, the second adjustment coefficient and the third adjustment coefficient are weighted and summed to obtain an environment adjustment coefficient; The initial attenuation coefficient is arithmetically multiplied by the environment adjustment coefficient to generate the attenuation coefficient of the target detector.

5. The fire alarm system maintenance management method according to claim 4, characterized by, The adjusting the first inspection plan according to the attenuation coefficient to generate a second inspection plan comprises: An inspection period adjustment coefficient corresponding to the attenuation coefficient is obtained; The inspection period adjustment coefficient is arithmetically multiplied by the inspection period in the first inspection plan to generate an adjusted inspection period, and the adjusted inspection period is taken as a second inspection plan.

6. The fire alarm system maintenance management method according to Claim 1, wherein After the target inspection plan of the target detector is generated, the method further comprises: The target inspection plan is sent to a terminal device of an operator, so that the operator inspects the target detector according to the target inspection plan; Feedback information sent by the terminal device is received, and the target inspection plan is adjusted according to the feedback information to generate a final inspection plan of the target detector.

7. A maintenance management system for a fire alarm system, characterized by The system comprises an acquisition module, a determination module, a combination module, a first adjustment module and a second adjustment module, wherein: The acquisition module is configured to acquire first position information and environment information of a target detector in a fire automatic alarm system of a chemical plant. The determination module is configured to determine an importance level of the target detector according to the first position information, and determine a first inspection plan of the target detector according to the importance level. The combination module is configured to acquire working parameters of the target detector, and combine the environment information and the working parameters to generate an attenuation coefficient of the target detector. The first adjustment module is configured to adjust the first inspection plan according to the attenuation coefficient to generate a second inspection plan. The second adjustment module is configured to acquire a third inspection plan of an associated detector of the target detector and second position information of the associated detector, combine the third inspection plan and the second position information to adjust the second inspection plan, and generate a target inspection plan of the target detector; the third inspection plan is a currently executed inspection plan of the associated detector, and the second position information is an installation position coordinate of the associated detector. The combining the third inspection plan and the second position information, adjusting the second inspection plan, and generating the target inspection plan of the target detector include: calculating a distance between the target detector and the associated detector according to the second position information; if the distance is greater than a preset distance, taking the second inspection plan as the target inspection plan of the target detector; if the distance is less than the preset distance, obtaining a third inspection period in the third inspection plan; when a period interval length of the third inspection period and an inspection period in the second inspection plan is less than a preset length, adjusting the inspection period in the second inspection plan to the third inspection period to generate the target inspection plan of the target detector; and when the period interval length of the third inspection period and the inspection period in the second inspection plan is not less than the preset length, taking the second inspection plan as the target inspection plan of the target detector.

8. An electronic device, comprising: An electronic device comprising a processor, a memory, a user interface, and a network interface, the memory configured to store instructions, the user interface and the network interface configured to communicate with other devices, and the processor configured to execute the instructions stored in the memory to cause the electronic device to perform the method of any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, A computer program stored in a memory and capable of being loaded and executed by a processor to perform the method of any one of claims 1-6.

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