Automatic fire alarm system maintenance management method, system and equipment and storage medium

Abstract

The invention provides an automatic fire alarm system maintenance management method, system and device and a storage medium, and relates to the technical field of safety management, and the method comprises the steps: obtaining the first position information and environment information of a target detector in an automatic fire alarm system of a chemical plant; determining the 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, and generating an attenuation coefficient of the target detector in combination with the environment information and the working parameters; adjusting the first inspection plan according to the attenuation coefficient to generate a second inspection plan; and obtaining a third inspection plan and second position information of the associated detector of the target detector, adjusting the second inspection plan in combination with the third inspection plan and the second position information, and generating a target inspection plan of the target detector. The technical effect of the invention is 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 establishes a closed-loop mechanism for maintenance management. The method of dynamically adjusting the target inspection plan based on the actual execution effect makes the finally generated inspection plan more consistent with the actual field operation, thereby improving the execution efficiency and quality of the maintenance work, and providing practical data support for the 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, 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.

[0020] In a third aspect, the application provides an electronic device, which adopts 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.

[0021] In a fourth aspect, the application provides a computer readable storage medium, which adopts 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.

[0022] In summary, the application has at least one of the following beneficial technical effects: 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 from 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 is acquired and the second position information is optimized in coordination, so that the target inspection plan is generated, which not only ensures the maintenance quality of a single detector, but also 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

[0023] Figure 1 is a flowchart of a fire automatic alarm system maintenance management method provided by an embodiment of the present application; Figure 2 is a structural diagram of a fire automatic alarm system maintenance management system provided by an embodiment of the present application; Figure 3 is a structural diagram of an electronic device provided by an embodiment of the present application.

[0024] Marked with reference numerals: 1000, electronic device; 1001, processor; 1002, communication bus; 1003, user interface; 1004, network interface; 1005, memory. DETAILED DESCRIPTION

[0025] In order for those skilled in the art 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.

[0026] In the description of the embodiments of the present application, the words such as "exemplary", "for example", or "for instance" are used to mean 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.

[0027] 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: S101, acquiring the first position information and the environment information of the target detector in the fire automatic alarm system of the chemical plant.

[0028] In practice, target detectors in an automatic fire alarm system are typically installed in different areas of a chemical plant. To ensure scientific maintenance and management of these detectors, it's necessary to first obtain the target detector's primary location information and environmental information. This primary location information includes the specific installation coordinates of the target detector and information about the area where it is located. For example, a target detector might be installed in the northeast corner of a chemical plant's Class A warehouse. Environmental information includes parameters such as the temperature, humidity, and the presence of corrosive gases in the area where the target detector is located. This information can be automatically acquired through the chemical plant's Building Information Modeling (BIM) system or environmental monitoring system, or it can be manually entered.

[0029] The purpose of obtaining initial location and environmental information is to provide foundational data for developing a scientifically sound inspection plan. Different areas of a chemical plant vary in importance, hazard levels, and environmental conditions. These factors can affect the lifespan and reliability of detectors. For example, areas with corrosive gases may accelerate detector aging, while high temperature and high humidity may alter detector sensitivity. Therefore, obtaining this foundational information lays the foundation for developing targeted inspection plans.

[0030] S102: Determine an importance level of the target detector according to the first location information, and determine a first inspection plan for the target detector according to the importance level.

[0031] During implementation, the functional type of the area where the target detector is located is first determined based on the first location information. Chemical plant functional areas can be categorized as follows: Class A hazardous materials warehouses, production workshops, control rooms, power distribution rooms, and office areas. Class A hazardous materials warehouses and production workshops, due to the presence of flammable and explosive substances, present a higher fire risk, so detectors in these areas are classified as high importance. Control rooms and power distribution rooms, while not directly involved with hazardous materials, could paralyze the entire production system if a failure occurs, so detectors in these areas are classified as medium importance. Detectors in auxiliary areas, such as office areas, are classified as low importance.

[0032] After determining the importance level, the system automatically generates a corresponding inspection cycle, which serves as the initial inspection plan for the target detector. The inspection cycle is inversely proportional to the importance level: the higher the importance level, the shorter the inspection cycle. For example, high-importance detectors can be inspected weekly; medium-importance detectors can be inspected every two weeks; and low-importance detectors can be inspected monthly. This differentiated inspection cycle ensures that limited maintenance resources are optimally allocated.

[0033] For example, if the target detector is located in a warehouse of Class A dangerous goods, and the 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.

[0034] 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: S21, determining the region function type corresponding to the first location information.

[0035] 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 partitioning description of the chemical plant, the function type of the region where the target detector is located can be accurately determined.

[0036] S22, according to the region function type, determining the importance level of the target detector, wherein the importance level includes high importance level, medium importance level and low importance level.

[0037] After determining the region function type, the system will automatically determine 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 an important influence on the safe operation of the entire 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.

[0038] S23, according to the importance level, generating the inspection cycle of the target detector, taking the inspection cycle as the first inspection plan of the target detector, and the importance level is inversely proportional to the inspection cycle.

[0039] After determining the importance level, the system automatically generates an inspection cycle for the target detector based on a preset conversion relationship and uses this cycle as the primary inspection plan. Specifically, the following conversion standard is used: the inspection cycle for high-importance detectors is 7 days, the inspection cycle for medium-importance detectors is 14 days, and the inspection cycle for low-importance detectors is 30 days. This setting reflects the inverse relationship between importance level and inspection cycle: the higher the importance level, the shorter the inspection cycle and the more frequent the inspection.

[0040] S103: Obtain operating parameters of the target detector, and generate an attenuation coefficient of the target detector by combining the environmental information and the operating parameters.

[0041] During implementation, the target detector's operating parameters are first obtained through the fire alarm system's management platform. These parameters primarily include two key indicators: failure count and operating time. Failure count refers to the cumulative number of false alarms, failures, and other malfunctions that have occurred since the detector was commissioned; operating time refers to the cumulative operating time from the date of installation. These operating parameters provide a direct reflection of the detector's operational status and reliability.

[0042] Based on the acquired operating parameters, the system first generates a first attenuation coefficient based on the number of failures. The number of failures is directly proportional to the first attenuation coefficient; the greater the number of failures, the larger the first attenuation coefficient. For example, the first attenuation coefficient can be set to 1.0 for a failure count of 3 or less, 1.2 for a failure count of 4-6, and 1.5 for a failure count of more than 6. This setting reflects the adverse impact of frequent failures on detector reliability.

[0043] The system also generates a second attenuation coefficient based on usage time. This is directly proportional to the second attenuation coefficient, as detectors naturally age over time. For example, you can set the second attenuation coefficient to 1.0 for less than two years, 1.3 for two to four years, and 1.6 for more than four years.

[0044] The initial attenuation coefficient is calculated by weighting the first and second attenuation coefficients. The specific calculation formula is: Initial Attenuation Coefficient = W1 × First Attenuation Coefficient + W2 × Second Attenuation Coefficient, where W1 and W2 are weighting coefficients, and W1 + W2 = 1. Typically, W1 = 0.6 and W2 = 0.4 are used, as faults have a more direct and severe impact on detector reliability.

[0045] After obtaining the initial attenuation coefficient, it is also necessary to adjust it in combination with the previously obtained environmental information. The system will calculate the degree of influence of the environment on the performance of the detector according to the temperature, humidity and corrosive gas concentration and other parameters of the environment where the target detector is located, and then correct the initial attenuation coefficient, and finally 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.

[0046] 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 generating the attenuation coefficient of the target detector in combination with the environmental information and the working parameters specifically includes S31-S34: S31, generating a first attenuation coefficient according to the number of faults, the number of faults being proportional to the first attenuation coefficient.

[0047] 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 piecewise 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, reflecting the negative impact of frequent faults on the reliability of the detector.

[0048] S32, generating a second attenuation coefficient according to the use time, the use time being proportional to the second attenuation coefficient.

[0049] 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 piecewise 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, . This setting reflects the natural aging phenomenon of the detector with the increase of the use time, and the longer the use time, the greater the second attenuation coefficient.

[0050] S33, weighting and calculating the first attenuation coefficient and the second attenuation coefficient to generate the initial attenuation coefficient of the target detector.

[0051] After obtaining the first attenuation coefficient and the second attenuation coefficient, the system generates an initial attenuation coefficient by weighted calculation. The calculation formula is: initial attenuation coefficient K0= a1* K1+ a2* K2 , wherein a1 and a2 are weight coefficients, and a1+a2=1. Generally, a1=0.5 and a2=0.5. , , This is because the failure condition has a more direct and urgent impact on the reliability of the detector. For example, if the failure frequency of a certain detector is 5 times (f=5), the service life is 3 years (t=3), and the initial attenuation coefficient is K0= f / t=5 / 3=1.67.

[0052] S34, adjusting the initial attenuation coefficient according to the environmental information to generate the attenuation coefficient of the target detector.

[0053] 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, and corrosive gas concentration 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, .

[0054] On the basis of the above embodiment, as an optional implementation, in S34, adjusting the initial attenuation coefficient according to the environmental information to generate the attenuation coefficient of the target detector specifically includes S341-S345: S341, according to the environmental information, obtaining the average temperature, average humidity, and average corrosive gas concentration of the environment in which the target detector is located within the service life.

[0055] First, the system needs to obtain the average parameter values of the environment in which the target detector is located within the entire service life. 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 3-year use of a certain detector, the average temperature of the environment in which it is located 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.

[0056] S342, calculating 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.

[0057] ​​​Then, the system compares these average values with the standard working parameters of the detector, and calculates the corresponding difference values. 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 difference values intuitively reflect the deviation degree of the actual environment from the standard conditions.

[0058] S343, according to the temperature difference, the humidity difference and the concentration difference, the first adjustment coefficient, the second adjustment coefficient and the 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.

[0059] According to the calculated difference values, the system generates corresponding adjustment coefficients by 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, .

[0060] S344, the first adjustment coefficient, the second adjustment coefficient and the third adjustment coefficient are weighted and summed to obtain the environmental adjustment coefficient.

[0061] The three adjustment coefficients are weighted and summed to obtain the comprehensive environmental adjustment coefficient β. The calculation formula is: , wherein is the weight coefficient, and . Considering that the influence of each environmental factor on the detector is different, the weight coefficient can be set as , wherein the weight of the corrosive gas is the largest, because it is more serious in corroding and damaging the detector. Substituting the numerical value into the formula: .

[0062] S345, the initial attenuation coefficient is multiplied by the environmental adjustment coefficient to generate the attenuation coefficient of the target detector.

[0063] 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 , then the final attenuation coefficient This result comprehensively reflects the usage status and environmental impact of the detector, providing an important basis for subsequent inspection plan adjustment.

[0064] S104, according to the attenuation coefficient, adjust the first inspection plan, generate the second inspection plan.

[0065] In specific implementation, first of all, it is necessary to establish the corresponding relationship between the attenuation coefficient and the inspection period adjustment coefficient. This corresponding relationship can be realized by table lookup method, 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 detector with more serious performance attenuation obtains higher inspection frequency.

[0066] After obtaining the inspection period adjustment coefficient, the system will be multiplied by the inspection period in the first inspection plan to obtain the adjusted inspection period. For example, the inspection period of a certain target detector in the first inspection plan is once a month, 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.

[0067] Through this adjustment mechanism, the system can dynamically adjust the inspection frequency according to the actual performance state of the detector. For the detector with obvious performance attenuation, the potential problems can be found and handled in time by increasing the inspection frequency; while for the detector with good performance, a relatively low inspection frequency can be maintained, so as to realize the optimal allocation of maintenance resources.

[0068] For example, assume that a certain target detector is located in a production workshop and belongs to high importance level, its first inspection plan is once a week. After usage 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 will be adjusted to every 3-4 days (7 days ÷ 2.0 ≈ 3.5 days). This adjustment fully considers the performance attenuation status of the detector, which helps to improve the pertinence and effectiveness of maintenance.

[0069] On the basis of the above embodiment, as an optional implementation, in S104, according to the attenuation coefficient, adjust the first inspection plan, generate the second inspection plan, specifically includes S41-S42: S41, obtain the inspection period adjustment coefficient corresponding to the attenuation coefficient.

[0070] S42, multiply the inspection cycle adjustment coefficient with the inspection cycle in the first inspection plan to generate an adjusted inspection cycle, and take the adjusted inspection cycle as the second inspection plan.

[0071] In the implementation process, first of all, it is necessary to establish the corresponding relationship between the attenuation coefficient and the inspection cycle adjustment coefficient. The system determines this corresponding relationship through a pre-set piecewise function: when the attenuation coefficient K≤1.2, the inspection cycle adjustment coefficient γ=1.2; when 1.2

[0072] After obtaining the inspection cycle adjustment coefficient, the system performs arithmetic multiplication between the inspection cycle adjustment coefficient and the inspection cycle in the first inspection plan to obtain an adjusted inspection cycle. The calculation formula is: adjusted inspection cycle=original inspection cycle÷inspection cycle adjustment coefficient. Here, the division operation is used because when the adjustment coefficient is greater than 1, the inspection cycle is actually shortened. For example, the inspection cycle of a high importance level detector in the first inspection plan is 7 days, the attenuation coefficient is 1.318, and the corresponding inspection cycle adjustment coefficient is 1.436, so the adjusted inspection cycle=7÷1.436≈5 days. The system takes this adjusted inspection cycle as the second inspection plan of the detector.

[0073] S105, obtain the third inspection plan and the second position information of the associated detector of the target detector, and adjust 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.

[0074] After generating the second inspection plan, the coordination relationship between the target detector and the surrounding associated detector also needs to be considered, because the detectors in adjacent areas often have mutual correlation in function, and reasonable coordination of their inspection plans can improve the efficiency of maintenance work. The associated detector refers to other detectors that are close in spatial position to the target detector and have functional connection, such as multiple detectors in the same fire zone.

[0075] In the implementation process, first of all, it is necessary to obtain the third inspection plan and the second position information of the associated detector. 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.

[0076] According to the acquired second position information, the system calculates the spatial distance between the target detector and the associated detector. If the calculated distance is greater than a preset distance (for example, 10 meters), it indicates that the correlation between the two detectors is weak, and the second inspection plan is directly taken as the target inspection plan of the target detector without adjustment.

[0077] When the distance is less than the preset distance, the system further compares the third inspection period in the third inspection plan with the inspection period in the second inspection plan. If the interval between the two inspection periods is less than a preset time length (for example, 2 days), in order to improve the maintenance efficiency, the system adjusts 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 the maintenance personnel is reduced.

[0078] For example, assuming that the second inspection plan of the target detector A is to inspect once every 5 days, the third inspection plan of the associated detector B is to inspect once every 4 days, and the spatial distance between them is 8 meters (less than the preset 10 meters). Since the interval between the inspection periods of the two detectors is 1 day (less than the preset 2 days), the system adjusts the inspection period of detector A to once every 4 days, consistent with detector B, which constitutes the target inspection plan of detector A.

[0079] However, if the interval between the inspection periods of the two detectors is not less than the preset time 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.

[0080] 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, which specifically includes S51-S54: 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.

[0081] 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 calculated distance D between them is approximately 3.61 meters.

[0082] 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 there is no need to consider the synergy effect. In this case, 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 large spatial distance.

[0083] S52, if the distance is less than the preset distance, the third inspection period in the third inspection plan is obtained.

[0084] When the distance between the two detectors is less than the preset distance, the system further obtains 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 every 5 days, and the third inspection plan of the associated detector B with a closer distance is to inspect every 4 days. The system calculates the interval length between the two inspection periods, i.e., |5-4|=1 day.

[0085] S53, when the period interval length of the third inspection period and the inspection period in the second inspection plan is less than the preset length, the inspection period in the second inspection plan is adjusted to the third inspection period, and the target inspection plan of the target detector is generated.

[0086] If the calculated period interval length is less than the preset length (for example, set to 2 days), considering the maintenance efficiency, the system adjusts the inspection period of the target detector to be consistent with that of the associated detector. In the above example, since the period interval length (1 day) is less than the preset length (2 days), the system adjusts the inspection period of detector A from 5 days to 4 days, which is consistent with that of detector B. The adjusted inspection plan is the target inspection plan of detector A.

[0087] S54, 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, the second inspection plan is taken as the target inspection plan of the target detector.

[0088] However, if the inspection period interval length of the two detectors is not less than the preset length, the second inspection plan is maintained. For example, if the inspection period of the associated detector B is every 7 days, which is 2 days different from the 5-day period of detector A, equal to the preset length, the system directly takes the second inspection plan (5 days) of detector A as its target inspection plan. This setting can avoid excessive adjustment to deviate from the maintenance needs of the detector itself.

[0089] After generating the target inspection plan of the target detector, it further includes: The target inspection plan is sent to the terminal device of the operation personnel, so that the operation personnel inspects 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.

[0090] In the specific implementation process, the system first sends the generated target inspection plan to the mobile terminal device of the operation personnel in the form of a task list. This task list contains specific location information, inspection period, inspection items, matters needing attention and the like of the target detector. For example, the inspection task information of a certain target detector can include: detector number HD-001, location coordinates (10, 15, 2), inspection period 4 days, and inspection items including appearance inspection, performance test, data recording and the like. The operation personnel can clearly understand the inspection requirements and execution time of each detector through the mobile terminal device.

[0091] During the execution of the inspection task, the operation personnel 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, maintenance suggestions and the like. For example, the operation personnel discovers that a certain detector is normal in function, but its installation environment is relatively humid, which can accelerate the aging of the device, and this kind of situation needs to be recorded and fed back in time.

[0092] 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 according to the inspection time record. If it is found that the inspection is often delayed or advanced at some time points, it is indicated that the current inspection period can need to be adjusted. Secondly, the system will analyze the running state information of the detector, and if a certain detector has similar problems in continuous multiple inspections, the inspection frequency can need to be increased or special maintenance can be performed.

[0093] In the specific implementation process, the system first sends the generated target inspection plan to the mobile terminal device of the operation personnel in the form of a task list. This task list contains specific location information, inspection period, inspection items, matters needing attention and the like of the target detector. For example, the inspection task information of a certain target detector can include: detector number HD-001, location coordinates (10, 15, 2), inspection period 4 days, and inspection items including appearance inspection, performance test, data recording and the like. The operation personnel can clearly understand the inspection requirements and execution time of each detector through the mobile terminal device.

[0094] During inspections, operators need to record and upload various feedback information via terminal devices. This feedback primarily includes inspection time records, detector operating status, discovered issues, solutions, and maintenance recommendations. For example, if an operator discovers that a detector is functioning properly during an inspection, it may be installed in a humid environment, which may accelerate device aging. This situation requires prompt recording and feedback.

[0095] After receiving feedback from terminal devices, the system performs intelligent analysis and processing. First, the system evaluates the rationality of the current inspection cycle based on inspection time records. If inspections at certain times are frequently delayed or advanced, the current inspection cycle may need to be adjusted. Second, the system analyzes the detector's operating status. If a detector exhibits similar issues over multiple consecutive inspections, increased inspection frequency or specialized maintenance may be necessary.

[0096] Based on the analysis of this feedback, the system will adjust the target inspection plan accordingly, generating a more optimized final plan. Adjustments can include fine-tuning the inspection cycle, adding specific inspection items, and adjusting the inspection route. For example, if feedback indicates that a detector's location has a large number of equipment maintenance activities every Tuesday, potentially impacting inspection work, the system will adjust the inspection schedule for that detector to avoid this time period.

[0097] Based on the above method, the present application also discloses a fire automatic alarm system maintenance management system, such as Figure 2 As shown, Figure 2 This is a structural diagram of a fire automatic alarm system maintenance management system provided by an embodiment of the present application. The system includes: an acquisition module, a determination module, a combination module, a first adjustment module and a second adjustment module; wherein, An acquisition module is used to acquire the first position information and environmental information of a target detector in an automatic fire alarm system of a chemical plant; a determination module is used to determine the importance level of the target detector based on the first position information, and to determine the first inspection plan of the target detector based on the importance level; a combination module is used to acquire the working parameters of the target detector, and to generate an attenuation coefficient of the target detector by combining the environmental information and the working parameters; a first adjustment module is used to adjust the first inspection plan according to the attenuation coefficient to generate a second inspection plan; a second adjustment module is used to acquire the third inspection plan and the second position information of an associated detector of the target detector, and to adjust the second inspection plan by combining the third inspection plan and the second position information to generate a target inspection plan for the target detector.

[0098] It should be noted that the above embodiments provide systems that implement their functions using only the division of the above functional modules as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiments are based on the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0099] See Figure 3 , is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 3 As shown, the electronic device 1000 may 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 .

[0100] The communication bus 1002 is used to implement the connection and communication between these components.

[0101] The user interface 1003 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 1003 may also include a standard wired interface and a wireless interface.

[0102] The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0103] 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.

[0104] 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 aforementioned processor 1001. As shown in the figure, 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

[0105] 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.

[0106] 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.

[0107] 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.

[0108] 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.

[0109] 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, devices or units, and can be electrical or other forms.

[0110] 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.

[0111] In addition, each functional unit in each embodiment of the present application can be integrated into one 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.

[0112] 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.

[0113] The above is only exemplary embodiments of the present disclosure, which 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: 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 a decay coefficient of the target detector; 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, 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.

2. The fire alarm system maintenance management method according to claim 1, characterized by, The method 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 duration, and the method comprises: generating a first decay coefficient according to the failure frequency, wherein the failure frequency is directly proportional to the first decay coefficient; generating a second decay coefficient according to the use duration, wherein the use duration is directly 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; adjusting the initial decay coefficient according to the environment information to generate the decay coefficient of the target detector.

4. The fire alarm system maintenance management method according to claim 3, characterized by, The method comprises: acquiring an average temperature, an average humidity and an average corrosive gas concentration of an environment in which the target detector is located within the use duration according to the environment information; calculating a temperature difference value between the average temperature and a standard temperature, a humidity difference value between the average humidity and a standard humidity, and a concentration difference value between 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, wherein the temperature difference value is directly proportional to the first adjustment coefficient, the humidity difference value is directly proportional to the second adjustment coefficient, and the concentration difference value is directly proportional to the third adjustment coefficient; performing weighted summation on the first adjustment coefficient, the second adjustment coefficient and the third adjustment coefficient to obtain an environment adjustment coefficient; performing arithmetic multiplication on the initial decay coefficient and the environment adjustment coefficient to generate the decay coefficient of the target detector.

5. The fire alarm system maintenance management method according to Claim 1, wherein The adjusting the first inspection plan according to the attenuation coefficient comprises: obtaining an inspection period adjustment coefficient corresponding to the attenuation coefficient; multiplying the inspection period adjustment coefficient and the inspection period in the first inspection plan to generate an adjusted inspection period, and taking the adjusted inspection period as a second inspection plan.

6. The fire alarm system maintenance management method according to Claim 1, wherein The adjusting the second inspection plan according to the third inspection plan and the second position information comprises: calculating the distance between a target sensor and an associated sensor according to the second position information, and if the distance is greater than a preset distance, taking the second inspection plan as a 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; if the cycle interval duration of the third inspection period and the inspection period in the second inspection plan is less than a preset duration, adjusting the inspection period in the second inspection plan to the third inspection period to generate a target inspection plan of the target detector; if the cycle interval duration of the third inspection period and the inspection period in the second inspection plan is not less than the preset duration, taking the second inspection plan as the target inspection plan of the target detector.

7. 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: sending the target inspection plan to a terminal device of a worker to enable the worker to perform inspection on the target detector according to the target inspection plan; receiving feedback information sent by the terminal device, and adjusting the target inspection plan according to the feedback information to generate a final inspection plan of the target detector.

8. A maintenance management system for a fire alarm system, characterized in that The system comprises an obtaining module, a determining module, a combining module, a first adjusting module and a second adjusting module, wherein: the obtaining module is configured to obtain first position information and environmental information of a target detector in a fire automatic alarm system of a chemical plant; the determining module is configured to determine an important level of the target detector according to the first position information, and determine a first inspection plan of the target detector according to the important level; the combining module is configured to obtain 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 adjusting module is configured to adjust the first inspection plan according to the attenuation coefficient to generate a second inspection plan; the second adjusting module is configured to obtain 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.

9. An electronic device, comprising: The electronic device comprises 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 perform the method of any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, A computer program is stored which can be loaded by a processor and performs the method according to any one of claims 1 to 7.

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