Building fire protection maintenance intelligent management system

Abstract

The present application relates to the technical field of fire-fighting facility maintenance management, and relates to a building fire-fighting maintenance intelligent management system. The present application determines a fire-fighting facility operation plan based on a fire-fighting maintenance contract constraint condition combined with a fire-fighting facility historical fault record, and according to an analysis of skill matching priority of a maintenance personnel operation skill list and a historical maintenance rework rate, combines real-time operation time to perform operation personnel allocation, simultaneously obtains positioning verification information and facility collection data forms of the operation personnel, performs data verification on the facility collection data forms, compares the facility collection data with a preset compliance threshold value when the data verification is qualified, immediately generates an early warning signal when the compliance threshold value is exceeded, and otherwise performs fitting analysis on different detection parameters in a facility historical maintenance record, combined with different detection parameter values in facility collection data to evaluate a fire-fighting facility health degree, so as to realize accurate evaluation of the fire-fighting facility health degree and improve the reliability and safety of the fire-fighting system.

Description

Technical Field

[0001] This invention relates to the field of fire protection facility maintenance and management technology, and specifically to an intelligent management system for building fire protection maintenance. Background Technology

[0002] With the rapid advancement of urbanization, the types of building fire protection facilities are becoming increasingly diverse and widely distributed. Their safe operation is directly related to the safety of people's lives and property, as well as urban public safety. The maintenance and upkeep of building fire protection facilities is a key link in ensuring the reliable operation of fire protection systems. It involves multiple aspects such as maintenance plan formulation, personnel scheduling, on-site operations, data collection, status assessment, and report generation, requiring refined and intelligent management throughout the entire process.

[0003] In the prior art, Chinese patent application CN108133273A discloses a method and system for fire protection maintenance. The method involves selecting maintenance personnel to determine the objects to be maintained, generating maintenance information by combining the maintenance purpose, maintenance system, expected end time, and maintenance personnel information, sending notifications and recording linkage data during the maintenance period, and then generating statistical information based on the linkage data, post-maintenance status certificates, and processing information. This achieves paperless and data visualization of fire protection equipment management, ensures the objectivity and accuracy of maintenance records, and improves maintenance quality.

[0004] The existing technology has the following problems: 1. The existing technology only selects maintenance objects by maintenance personnel, without dynamically optimizing the maintenance cycle by combining historical fault data of fire protection facilities with contractual constraints. This results in a mismatch between the maintenance frequency and the actual health status of the equipment, thus wasting maintenance resources and failing to detect potential fault hazards in a timely manner. At the same time, it cannot ensure the matching of work plans with the professional skills of personnel, which can easily lead to unstable maintenance quality and affect the overall maintenance efficiency.

[0005] 2. Existing technologies only generate maintenance statistics for users to view, without combining historical maintenance data and operational status data to assess the health of fire protection facilities. This results in insufficient application value of fire protection facility maintenance reports, making it impossible to uncover equipment failure patterns from historical maintenance data. Consequently, preventative maintenance is difficult to achieve, and only passive fault handling can be performed, increasing maintenance costs and fire safety risks. Summary of the Invention

[0006] This invention aims to overcome the deficiencies in the existing technology and provide an intelligent management system for building fire protection maintenance. By screening maintenance objects, collecting and verifying facility data, assessing equipment health and providing intelligent early warnings, it achieves intelligent management of fire protection facility maintenance work, improves maintenance efficiency and quality, and ensures building fire safety.

[0007] The technical solution adopted by the present invention to solve its technical problem is as follows: The present invention provides a building fire protection maintenance intelligent management system, including a work plan determination module, a work personnel allocation module, a data verification module, a data comparison and analysis module, and a maintenance report generation module.

[0008] The connections between the modules are as follows: the work plan determination module communicates with the work personnel allocation module; the work personnel allocation module communicates with the data verification module; the data verification module communicates with the data comparison and analysis module; and the data comparison and analysis module communicates with the maintenance report generation module.

[0009] The work plan determination module determines the work plan for fire protection facilities based on the maintenance constraints of the fire protection facilities in the fire protection maintenance contract of the target building and in combination with the historical failure records of different fire protection facilities.

[0010] The personnel allocation module assigns personnel to the target building based on the skill list and work time of all maintenance personnel, combined with the skill matching priority analysis of the fire protection facility work plan.

[0011] The data verification module acquires the location verification information of the operators and the facility data collection form, and performs data verification on the facility data collection form.

[0012] The data comparison and analysis module compares the facility-collected data with preset compliance thresholds when the data verification is qualified. If the compliance threshold is exceeded, an early warning signal is generated immediately.

[0013] The maintenance report generation module performs fitting analysis on different detection parameters in the facility's historical maintenance records when the compliance threshold is not exceeded, locates the drift estimate of different detection parameters, and evaluates the health of fire protection facilities by combining the different detection parameter values ​​in the facility's collected data, and generates a maintenance report for the target building's fire protection facilities.

[0014] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention dynamically determines the fire protection facility operation plan based on the fire protection maintenance contract constraints and the historical fault records of fire protection facilities, realizing the transformation of the maintenance plan formulation from static to dynamic, so that the fire protection facility operation plan can meet the contract compliance requirements, ensure that the maintenance frequency matches the actual health status of the equipment, effectively avoid the waste of maintenance resources and the omission of potential fault hazards, and improve the pertinence of maintenance work.

[0015] (2) Based on the skill list of maintenance personnel and the analysis of historical maintenance rework rate, this invention prioritizes the matching of skills and combines real-time operation time to intelligently allocate personnel, so that the operation plan and personnel professional skills can be matched, thereby reducing the maintenance rework rate and improving the quality of maintenance operations and overall maintenance efficiency.

[0016] (3) This invention verifies the data in the facility collection data form by obtaining the location verification information of the operators and the facility collection data form, ensuring that the maintenance personnel actually arrive on site and that the collected data matches the identity of the facility to be maintained, effectively preventing false maintenance and missed inspections and repairs, and ensuring the authenticity and validity of maintenance data.

[0017] (4) The present invention compares the facility collection data with the preset compliance threshold. When the compliance threshold is exceeded, an early warning signal is generated immediately. Conversely, different detection parameters in the facility's historical maintenance records are fitted and analyzed. Combined with the different detection parameter values ​​in the facility collection data, the health of the fire protection facilities is evaluated, so as to realize the accurate assessment and forward-looking maintenance of the health of the fire protection facilities and improve the reliability and safety of the fire protection system. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the system module connections of the present invention;

[0020] Figure 2 This is a schematic diagram illustrating the specific implementation steps of the work plan determination module in this invention;

[0021] Figure 3 This is a schematic diagram of the compliance threshold determination step in the data comparison and analysis module of this invention. Detailed Implementation

[0022] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of the invention. Furthermore, it should be understood that, for ease of description, the dimensions of the various parts shown in the drawings are not drawn to actual scale.

[0023] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the invention or its application or use. Techniques, methods, and apparatus known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and apparatus should be considered part of the specification.

[0024] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0025] Please see Figure 1 As shown, the present invention provides an intelligent management system for building fire protection maintenance, including a work plan determination module, a work personnel allocation module, a data verification module, a data comparison and analysis module, and a maintenance report generation module.

[0026] The connections between the modules are as follows: the work plan determination module communicates with the work personnel allocation module; the work personnel allocation module communicates with the data verification module; the data verification module communicates with the data comparison and analysis module; and the data comparison and analysis module communicates with the maintenance report generation module.

[0027] The work plan determination module determines the work plan for fire protection facilities based on the maintenance constraints of the fire protection facilities in the fire protection maintenance contract of the target building and in combination with the historical failure records of different fire protection facilities.

[0028] The personnel allocation module assigns personnel to the target building based on the skill list and work time of all maintenance personnel, combined with the skill matching priority analysis of the fire protection facility work plan.

[0029] The data verification module acquires the location verification information of the operators and the facility data collection form, and performs data verification on the facility data collection form.

[0030] The data comparison and analysis module compares the facility-collected data with preset compliance thresholds when the data verification is qualified. If the compliance threshold is exceeded, an early warning signal is generated immediately.

[0031] The maintenance report generation module performs fitting analysis on different detection parameters in the facility's historical maintenance records when the compliance threshold is not exceeded, locates the drift estimate of different detection parameters, and evaluates the health of fire protection facilities by combining the different detection parameter values ​​in the facility's collected data, and generates a maintenance report for the target building's fire protection facilities.

[0032] Considering that fire protection maintenance contracts stipulate different maintenance frequency requirements for different facility types, if maintenance is carried out only according to a fixed cycle, it will cause a disconnect between the allocation of maintenance resources and the actual health status of the equipment, resulting in insufficient maintenance of high-risk equipment and excessive maintenance of low-risk equipment. At the same time, ignoring the historical failure data of fire protection facilities will make it difficult to identify potential failure trends and preventive maintenance. Therefore, it is necessary to dynamically determine the maintenance cycle by combining contractual constraints and failure data to achieve precise formulation of maintenance plans.

[0033] Based on this, the operation plan determination module determines the operation plan for fire protection facilities through contract clause extraction, fault data statistics, and dynamic cycle calculation, such as... Figure 2As shown, the specific implementation method includes: S11, extracting the maintenance frequency clauses and maintenance coverage type clauses of different fire protection facilities from the fire protection maintenance contract of the target building, and generating fire protection facility maintenance constraints. Among them, the maintenance frequency clauses include the minimum constraint cycle of each fire protection facility (such as fire alarm facilities, automatic sprinkler systems, emergency lighting facilities, etc.); the maintenance coverage type clauses include the maintenance items of each fire protection facility.

[0034] S12. Adjust the historical fault records of different fire protection facilities in the historical operation database of fire protection facilities within a set statistical period (e.g., 1 year, which the implementer can adjust according to the service life of the facilities) and statistically analyze the fault occurrence cycle and fault type distribution of each fire protection facility.

[0035] Preferably, the fault occurrence period is the average time interval of all adjacent fault records within a set statistical period, and the fault type distribution is the proportion of the occurrence frequency of each fault type.

[0036] The maintenance items include lines, communication equipment, sensors, and early warning equipment. The types of faults include, but are not limited to, short circuit faults in lines, delay faults in communication equipment, sensor failures, and false alarm faults in early warning equipment.

[0037] S13. Based on the maintenance frequency clauses of different fire protection facilities in the fire protection facility maintenance constraints, and combined with the failure cycle of each fire protection facility, the maintenance cycle of each fire protection facility is obtained. The maintenance time of the most recent maintenance history of different fire protection facilities in the target building is retrieved to obtain the maintenance plan time and the fire protection facilities that need to be maintained.

[0038] S14. Based on the maintenance coverage type clauses for different fire protection facilities in the fire protection facility maintenance constraints, and in combination with the distribution of fault types of each fire protection facility, determine the maintenance type list for each fire protection facility that needs maintenance.

[0039] It should be further explained that, based on the distribution of fault types of various fire protection facilities, fault types with an occurrence frequency ratio greater than the set occurrence frequency ratio threshold (such as 60%, which implementers can adjust themselves in the system settings interface) are selected as maintenance-required types. All maintenance-required types are then combined with the corresponding fault types of all maintenance-required items in the maintenance coverage clauses of the corresponding fire protection facilities to generate a maintenance type list.

[0040] S15. Generate a fire protection facility operation plan by combining the maintenance schedule, the list of fire protection facilities to be maintained and the corresponding maintenance types.

[0041] Preferably, in a specific embodiment of the present invention, the steps for obtaining the maintenance plan time and the fire protection facilities to be maintained are as follows: S131, based on the maintenance frequency clauses of each fire protection facility, obtain the contract constraint period of each fire protection facility. If the contract constraint period of a certain fire protection facility is less than the corresponding fault occurrence period, then the contract constraint period is used as the maintenance period of the fire protection facility to ensure that the contract compliance requirements are met. Otherwise, the fault occurrence period is used as the maintenance period of the fire protection facility to achieve the matching of maintenance frequency with the actual health status of the equipment and avoid over-maintenance or under-maintenance.

[0042] S132. Filter the minimum maintenance cycle among all fire protection facilities' maintenance cycles. Retrieve the maintenance time of the most recent maintenance history record corresponding to the minimum maintenance cycle from the target building's fire protection maintenance history. Combine this with the minimum maintenance cycle to determine the planned maintenance time. For example, if the maintenance cycle for fire alarm facilities is 7 days and the maintenance cycle for automatic sprinkler systems is 15 days, then the minimum maintenance cycle is 7 days. If the most recent maintenance history record for fire alarm facilities shows a maintenance date of March 1st, then the planned maintenance time is March 8th.

[0043] S133. Retrieve the maintenance time of the most recent maintenance history of other fire protection facilities, and combine it with the maintenance cycle of other fire protection facilities to obtain the estimated maintenance plan time of other fire protection facilities.

[0044] S134. Based on the maintenance plan time and the minimum maintenance cycle, determine the next maintenance plan time. For example, if the maintenance plan time is March 8 and the minimum maintenance cycle is 7 days, then the next maintenance plan time is March 15. Screen other fire protection facilities whose estimated maintenance plan time is less than the next maintenance plan time, and identify them as fire protection facilities that need maintenance when compared with the minimum maintenance cycle.

[0045] For example, if the estimated maintenance schedule for automatic sprinkler systems is March 9th, which is later than the next scheduled maintenance date of March 15th, then these systems will be treated together with fire alarm systems as fire protection facilities requiring maintenance, enabling centralized maintenance and improving maintenance efficiency.

[0046] This invention dynamically determines the operation plan for fire protection facilities based on the constraints of fire protection maintenance contracts and historical fault records of fire protection facilities. This realizes the transformation of maintenance plan formulation from static to dynamic, enabling the fire protection facility operation plan to meet contract compliance requirements, ensuring that the maintenance frequency matches the actual health status of the equipment, effectively avoiding waste of maintenance resources and omission of potential fault hazards, and improving the pertinence of maintenance work.

[0047] Considering that fire protection maintenance work involves professional technical operations, and different maintenance projects have different skill requirements for personnel, if tasks are randomly assigned based solely on personnel's availability, it will cause fluctuations in maintenance quality due to skill mismatch. At the same time, the historical maintenance rework rate directly reflects the personnel's proficiency and reliability. If the rework rate is ignored in relation to personnel skill matching, personnel with mismatched skills will be assigned to complex maintenance projects, resulting in high rework rates and unstable maintenance quality. Therefore, it is necessary to combine skill matching with time adaptation when allocating maintenance personnel.

[0048] Based on this, the operator allocation module allocates operators to target buildings by analyzing skill matching priority and filtering work time. The specific implementation method includes: S21, extracting the maintenance skills and historical maintenance rework rates of all maintenance personnel corresponding to different facilities from the maintenance personnel work database, and constructing a list of work skills for each maintenance personnel.

[0049] The historical maintenance rework rate is the ratio of the number of reworks by maintenance personnel within a set period (such as 6 months) to the total number of maintenance operations. The lower the rework rate, the higher the maintenance quality.

[0050] S22. Match the list of all maintenance items for fire protection facilities in the fire protection facility operation plan with the operation skill list of each maintenance personnel item by item to obtain the skill matching priority of each maintenance personnel.

[0051] S23. Retrieve the work time of all assigned tasks in the maintenance schedule records of all maintenance personnel to determine the remaining free time of each maintenance personnel.

[0052] S24. Screen maintenance personnel who are available during the maintenance schedule corresponding to the fire protection facility operation plan, sort them from high to low according to skill matching priority, and assign the corresponding personnel to the target building.

[0053] Preferably, in a specific embodiment of the present invention, the skill matching priority of each maintenance personnel is obtained as follows: S221, based on the list of all maintenance items for fire protection facilities requiring maintenance, determine the facility maintenance skills corresponding to different maintenance items. For example, the facility maintenance skill corresponding to the line maintenance item is the line short circuit repair skill, and the facility maintenance skill corresponding to the early warning equipment maintenance item is the early warning equipment repair skill.

[0054] S222. Match and compare the facility maintenance skills corresponding to different maintenance projects with the different facility maintenance skills in the operation skill list of each maintenance personnel, and count the number of facility maintenance skills that are the same.

[0055] S223. Analyze the ratio of the number of facilities maintenance skills to the total number of maintenance items for each fire protection facility requiring maintenance to obtain the skill matching coefficient for each fire protection facility requiring maintenance, and use the average value as the skill matching coefficient for each maintenance personnel.

[0056] S224. Sort the skill matching coefficients and historical maintenance rework rates of each maintenance personnel to determine the skill matching priority of each maintenance personnel.

[0057] It should be noted that the rule for determining the skill matching priority is: the higher the skill matching coefficient and the lower the historical maintenance rework rate, the higher the skill matching priority.

[0058] In one example of the present invention, the skill matching coefficients of each maintenance personnel are sorted from largest to smallest, and a corresponding score is assigned based on the sorting number of the skill matching coefficients of each maintenance personnel. For example, if there are a total of 5 maintenance personnel, the one with the highest skill matching coefficient is given 5 points, and 1 point is deducted for each subsequent ranking. If there are ties, the ties share the same score, and subsequent rankings skip the number of ties.

[0059] The historical maintenance rework rates of each maintenance worker are sorted from smallest to largest. Similarly, a corresponding score is assigned based on the sorting number of the historical maintenance rework rate of each maintenance worker. The sum of the score corresponding to the sorting number of the skill matching coefficient of each maintenance worker and the score corresponding to the sorting number of the historical maintenance rework rate is calculated as the comprehensive skill matching score of each maintenance worker. The higher the comprehensive skill matching score, the higher the skill matching priority.

[0060] This invention prioritizes skills matching based on a list of maintenance personnel's job skills and historical maintenance rework rates, and combines this with real-time work time for intelligent personnel allocation. This ensures that work plans and personnel's professional skills are matched, reducing maintenance rework rates and improving maintenance work quality and overall maintenance efficiency.

[0061] Given that existing technologies do not verify the validity of maintenance data, issues such as maintenance personnel falsely signing in, not actually working on-site, or data collection not matching the facilities to be maintained, or missed inspections and repairs, are present. This leads to a lack of authenticity in fire protection facility maintenance data, affecting the accuracy of subsequent health assessments and fault warnings. Therefore, it is necessary to implement dual verification of maintenance personnel location and facility identity to ensure the authenticity and validity of maintenance data.

[0062] Based on this, the data verification module extracts location information and matches it with facility identity, and verifies the data in the facility data collection form. The specific implementation includes: S31, obtaining location verification information through the mobile terminal carried by the operator, extracting the geographical coordinates and timestamp from the location verification information, and calculating the spatial distance between them and the standard location of the target building's fire protection facilities.

[0063] S32. Preset the work arrival judgment distance (e.g., 5 meters, which the implementer can adjust according to the building scale). When the spatial distance is less than the preset work arrival judgment distance and the timestamp is within the maintenance plan time, the operator's positioning verification is deemed successful. Otherwise, the operator's positioning verification is deemed unsuccessful, and the operator is reminded to reach the standard position and complete the work within the maintenance plan time.

[0064] S33. Receive the facility data collection form uploaded by the operator via mobile terminal, extract the fire protection facility identification code and corresponding maintenance item from the form, and match it with the standard identification code and maintenance item list of all fire protection facilities that need maintenance. If the fire protection facility identification codes are consistent and the corresponding maintenance items are completely consistent, the matching is successful and the facility identity verification is determined to be successful. Otherwise, the matching fails, the facility identity verification is determined to be unsuccessful, the form is returned, and the operator is required to collect data again.

[0065] S34. When the operator's location verification and the facility's identity verification are both passed, the data in the facility's data collection form is deemed to be qualified.

[0066] This invention verifies the data in the facility collection data form by obtaining the location verification information of the operators and the data in the form, ensuring that the maintenance personnel are actually on-site and that the collected data matches the identity of the facility to be maintained. This effectively prevents false maintenance and missed inspections and repairs, and ensures the authenticity and validity of the maintenance data.

[0067] Considering that the normal range of operating parameters of fire protection facilities is affected by the aging of equipment, if fixed factory design values ​​are used as the judgment threshold, normal states may be misjudged as abnormal states or abnormal states may be missed. It is necessary to establish a compliance threshold based on historical data and factory design rated data to achieve accurate judgment and early warning of abnormalities.

[0068] Based on this, such as Figure 3 As shown, the compliance threshold determination method in the data comparison and analysis module is as follows: S41, adjust the recent normal operation parameter records of all fire protection facilities requiring maintenance in the historical operation database of fire protection facilities, remove outliers from all parameter data in the recent normal operation parameter records, and obtain the historical parameter data range of all fire protection facilities requiring maintenance.

[0069] Preferably, the present invention uses the 3σ criterion to identify and remove outliers in all parameter data in recent normal operation parameter records. The 3σ criterion is a well-known existing technical means in the art, and will not be described in detail here.

[0070] S42. Based on the factory design rated data of all fire protection facilities that require maintenance, use them as the benchmark parameter data. When the benchmark parameter data is within the range of historical parameter data, use the range of historical parameter data as the parameter compliance threshold range.

[0071] S43. Conversely, calculate the offset distance between the baseline parameter data and the historical parameter data range, and perform translation correction on the historical parameter data range according to the offset direction to obtain the parameter compliance threshold range.

[0072] For example, the factory-rated sensitivity of the fire alarm facility in this invention is 10dB. The historical parameter data range of sensitivity in the recent normal operation parameter record is 7-9dB. The factory-rated sensitivity is higher than the upper limit of the historical parameter data range, with an offset distance of 1dB. The historical parameter data range is shifted 1dB towards the factory-rated sensitivity to obtain a compliant threshold range of 8-10dB, ensuring that the threshold conforms to the factory standard and the actual operating status.

[0073] It should be noted that the data comparison and analysis module is based on compliance thresholds to achieve accurate judgment and early warning of anomalies. The specific implementation is as follows: the detection parameter values ​​in the data collected from each fire protection facility that needs maintenance are compared with the corresponding parameter compliance threshold range item by item. When any detection parameter value exceeds the corresponding parameter compliance threshold range, the audible and visual alarm device is immediately triggered, and an early warning signal is generated and pushed to the fire management terminal.

[0074] This invention compares the data collected from the facilities with preset compliance thresholds. When the compliance thresholds are exceeded, an early warning signal is immediately generated, enabling accurate comparison of the operating parameters of fire protection facilities. This avoids false or missed warnings, improves the reliability and safety of the fire protection system, and buys valuable time for emergency response.

[0075] Given that existing technologies only generate simple maintenance statistics and do not combine historical maintenance data with currently collected data to assess facility health, they are unable to uncover fault patterns or implement preventative maintenance. Therefore, it is necessary to assess the health of fire protection facilities through multi-parameter time series fitting and generate a maintenance report for the fire protection facilities of the target building to support operation and maintenance decisions.

[0076] Based on this, the maintenance report generation module generates a maintenance report for the fire protection facilities of the target building through historical data association, fitting analysis and health assessment. The specific implementation method includes: S51, based on the historical facility collection data of each historical maintenance in the historical maintenance record of the fire protection facilities to be maintained, and statistically analyzing the historical time sequence of different detection parameters.

[0077] S52. Perform fitting analysis on the historical time series of different detection parameters to identify the benchmark fitting equations for the changes of different detection parameters over time. Based on the cumulative operating time of the fire protection facilities requiring maintenance, locate the drift prediction values ​​of different detection parameters in the benchmark fitting equations. The drift prediction values ​​characterize the theoretical trend of the detection parameters with the cumulative operating time, which helps to determine whether there is abnormal drift in the current parameters.

[0078] Preferably, the least squares method is used to fit the benchmark fitting equation for the change of different detection parameters over time.

[0079] The benchmark fitting equation for the least squares method is: .

[0080] In the formula, To estimate the drift of the detection parameter data, its unit is determined according to the detection parameter. In this embodiment, the cumulative operating time of the fire protection facilities requiring maintenance is expressed in days. b are obtained by fitting the historical time series of the detection parameters. The least squares method is a well-known existing technique in the art, and will not be described in detail here.

[0081] S53. Based on the values ​​of each detection parameter in the facility collection data, combined with the cumulative operating time of the fire protection facilities that require maintenance, assess the health of the fire protection facilities.

[0082] Preferably, in a specific embodiment of the present invention, the method for assessing the health of fire protection facilities is as follows: S531, the ratio analysis of the values ​​of each detection parameter in the facility collection data with the drift estimate of the corresponding detection parameter is performed to obtain the degree of health drift of each detection parameter.

[0083] S532. Based on the linear decay curve of the health status of the fire protection facilities requiring maintenance as their service life changes, and combined with the cumulative operating time of the fire protection facilities requiring maintenance, the theoretical health status decay value is obtained.

[0084] It should be noted that the set linear decay curve of health is determined based on the factory design life of the fire protection facility. For example, if the design life of the fire protection facility is T years and the initial health is 100%, then the linear decay curve of health is as follows: .

[0085] In the formula This refers to the cumulative operating time (in years). For example, for a fire alarm system with a design life of 10 years, the theoretical health degradation value after 5 years of operation is 50%.

[0086] S533. Multiply the degree of health drift of each detection parameter by the theoretical health decay value to obtain the health assessment value of each detection parameter. Select the minimum health assessment value as the health of the fire protection facility and adopt a conservative assessment to ensure fire safety.

[0087] This invention compares the data collected from the facility with preset compliance thresholds. When the compliance thresholds are exceeded, an early warning signal is immediately generated. Conversely, it performs fitting analysis on different detection parameters in the facility's historical maintenance records and combines the different detection parameter values ​​in the facility's collected data to assess the health of the fire protection facilities. This enables accurate assessment and proactive maintenance of the health of fire protection facilities, thereby improving the reliability and safety of the fire protection system.

[0088] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.

[0089] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0090] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0091] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0092] Finally, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A building fire protection maintenance intelligent management system, characterized in that, include: The work plan determination module determines the fire protection facility work plan based on the fire protection facility maintenance constraints in the target building fire protection maintenance contract and in combination with the historical failure records of different fire protection facilities. The personnel allocation module assigns personnel to the target building based on the skill list and work time of all maintenance personnel, combined with the skill matching priority analysis of the fire protection facility work plan. The data verification module acquires the location verification information of the operators and the facility data collection form, and performs data verification on the facility data collection form; The data comparison and analysis module compares the facility-collected data with the preset compliance threshold when the data verification is qualified. If the compliance threshold is exceeded, an early warning signal is generated immediately. The maintenance report generation module performs fitting analysis on different detection parameters in the facility's historical maintenance records when the compliance threshold is not exceeded, locates the drift estimate of different detection parameters, and evaluates the health of fire protection facilities by combining the different detection parameter values ​​in the facility's collected data, and generates a maintenance report for the target building's fire protection facilities.

2. The intelligent management system for building fire protection maintenance according to claim 1, characterized in that: The method for determining the fire protection facility operation plan is as follows: Extract the maintenance frequency clauses and maintenance coverage type clauses for different fire protection facilities from the fire protection maintenance contract of the target building to generate fire protection facility maintenance constraints; Adjust the historical fault records of different fire protection facilities in the historical operation database of fire protection facilities within the set statistical period, and statistically analyze the fault occurrence cycle and fault type distribution of each fire protection facility; Based on the maintenance frequency clauses of different fire protection facilities in the fire protection facility maintenance constraints, and combined with the failure cycle of each fire protection facility, the maintenance cycle of each fire protection facility is obtained. The maintenance time of the most recent maintenance history of different fire protection facilities in the target building is retrieved to obtain the maintenance plan time and the fire protection facilities that need to be maintained. Based on the maintenance coverage clauses for different fire protection facilities in the fire protection facility maintenance constraints, and combined with the distribution of fault types of each fire protection facility, determine the maintenance type list for each fire protection facility that needs maintenance; The maintenance schedule, the list of fire protection facilities to be maintained and the corresponding maintenance types will be used to generate a fire protection facility operation plan.

3. The intelligent management system for building fire protection maintenance according to claim 2, characterized in that: The maintenance plan schedule and the steps for obtaining the fire protection facilities requiring maintenance are as follows: Based on the maintenance frequency clauses of each fire protection facility, the contract constraint period of each fire protection facility is obtained. If the contract constraint period of a fire protection facility is less than the corresponding failure occurrence period, the contract constraint period is used as the maintenance period of the fire protection facility; otherwise, the failure occurrence period is used as the maintenance period of the fire protection facility. Filter the minimum maintenance cycle among all fire protection facilities, retrieve the maintenance time of the most recent maintenance history of the fire protection facilities corresponding to the minimum maintenance cycle from the fire protection maintenance history of the target building, and determine the maintenance plan time in combination with the minimum maintenance cycle. By retrieving the most recent maintenance history of other fire protection facilities and combining it with the maintenance cycle of other fire protection facilities, the estimated maintenance plan time for other fire protection facilities can be obtained. Based on the maintenance plan time and the minimum maintenance cycle, determine the next maintenance plan time, screen other fire protection facilities whose estimated maintenance plan time is less than the next maintenance plan time, and identify the fire protection facilities that correspond to the minimum maintenance cycle as fire protection facilities that need maintenance.

4. The intelligent management system for building fire protection maintenance according to claim 1, characterized in that: The specific steps of the operator allocation module are as follows: Extract the maintenance skills and historical rework rates of all maintenance personnel corresponding to different facilities from the maintenance personnel operation database, and construct a list of operation skills for each maintenance personnel; The list of all maintenance items for fire protection facilities in the fire protection facility operation plan is matched item by item with the operation skill list of each maintenance personnel to obtain the skill matching priority of each maintenance personnel. Retrieve the work time of all assigned tasks from the maintenance schedule records of all maintenance personnel to determine the remaining free time of each maintenance personnel; Select maintenance personnel who are available during the scheduled maintenance period corresponding to the fire protection facility operation plan, sort them from high to low skill matching priority, and assign the corresponding personnel to the target building.

5. The intelligent management system for building fire protection maintenance according to claim 4, characterized in that: The method for determining the skill matching priority of each maintenance personnel is as follows: Based on the list of all fire protection facilities requiring maintenance, determine the corresponding facility maintenance skills for different maintenance items; The facility maintenance skills corresponding to different maintenance projects are matched and compared with the different facility maintenance skills in the operation skill list of each maintenance personnel, and the number of facility maintenance skills that are the same is counted. The skill matching coefficient of each fire protection facility requiring maintenance is obtained by comparing the number of facility maintenance skills with the total number of maintenance items for each fire protection facility requiring maintenance, and the average value of the coefficient is used as the skill matching coefficient of each maintenance personnel. The skill matching coefficients and historical maintenance rework rates of each maintenance worker are sorted to determine the skill matching priority of each maintenance worker.

6. The intelligent management system for building fire protection maintenance according to claim 1, characterized in that: The specific contents of the data verification module include: Location verification information is obtained through the mobile terminal carried by the operator. Geographical coordinates and timestamps are extracted from the location verification information and their spatial distance is calculated with the standard location of the fire protection facilities of the target building. When the spatial distance is less than the preset work arrival judgment distance and the timestamp is within the maintenance plan time, the operator's positioning verification is deemed successful. The system receives facility data collection forms uploaded by operators via mobile terminals, extracts the fire protection facility identification codes and corresponding maintenance items from the forms, and matches them with the standard identification codes and maintenance item lists of all fire protection facilities requiring maintenance. When a match is successful, the facility identity verification is deemed successful. When the operator's location verification and the facility's identity verification are both passed, the data in the facility's data collection form is deemed to be valid.

7. The intelligent management system for building fire protection maintenance according to claim 1, characterized in that: The compliance threshold is determined as follows: Adjust the recent normal operation parameter records of all fire protection facilities requiring maintenance in the historical operation database of fire protection facilities, remove outliers from all parameter data in the recent normal operation parameter records, and obtain the historical parameter data range of all fire protection facilities requiring maintenance; Based on the factory design rating data of all fire protection facilities that require maintenance, these are used as the baseline parameter data. When the baseline parameter data is within the range of historical parameter data, the range of historical parameter data is used as the parameter compliance threshold range. Conversely, the offset distance between the baseline parameter data and the historical parameter data range is calculated, and the historical parameter data range is shifted and corrected according to the offset direction to obtain the parameter compliance threshold range.

8. The intelligent management system for building fire protection maintenance according to claim 7, characterized in that: The specific contents of the data comparison and analysis module are as follows: Each detection parameter value in the data collected from the corresponding facilities of each fire protection facility requiring maintenance is compared with the corresponding parameter compliance threshold range. When any detection parameter value exceeds the corresponding parameter compliance threshold range, the audible and visual alarm device is immediately triggered, and an early warning signal is generated and pushed to the fire management terminal.

9. The intelligent management system for building fire protection maintenance according to claim 1, characterized in that: The specific content of the maintenance report generation module is as follows: Based on the historical maintenance records of the fire protection facilities requiring maintenance, the historical time series sequence of different detection parameters was statistically analyzed. Fitting analysis was performed on the historical time series of different detection parameters to identify the benchmark fitting equations for the changes of different detection parameters over time. Based on the cumulative operating time of the fire protection facilities requiring maintenance, the drift prediction values ​​of different detection parameters in the benchmark fitting equations were located. Based on the values ​​of various detection parameters in the data collected from the facilities, and combined with the cumulative operating time of the fire protection facilities requiring maintenance, the health status of the fire protection facilities is assessed.

10. The intelligent management system for building fire protection maintenance according to claim 9, characterized in that: The method for assessing the health status of the fire protection facilities is as follows: By comparing the values ​​of each detection parameter in the data collected from the facility with the drift estimates of the corresponding detection parameters, the degree of health drift of each detection parameter is obtained. Based on the linear decay curve of the health status of fire protection facilities requiring maintenance as their service life changes, and combined with the cumulative operating time of the fire protection facilities requiring maintenance, the theoretical health status decay value is obtained. The health drift of each detection parameter is multiplied by the theoretical health decay value to obtain the health assessment value of each detection parameter. The minimum health assessment value is selected as the health of the fire protection facility.

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