An integrated operation and maintenance management system

By integrating the operation and maintenance management system and combining regional meteorological coefficients and boundary scenario corrections with multi-factor coupling, the problem of excessive or untimely replacement of fire valve sealing gaskets in operation and maintenance has been solved, and accurate aging prediction and safe and reliable operation and maintenance strategies have been achieved.

CN122335261APending Publication Date: 2026-07-03BEIJING ZHONGSHENG BOTONG TECHNOLOGY CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING ZHONGSHENG BOTONG TECHNOLOGY CO LTD
Filing Date
2026-04-09
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

In the current operation and maintenance management of fire valve sealing gaskets, the fixed-cycle mandatory replacement leads to excessive maintenance or failure to detect performance degradation in a timely manner, increasing costs and posing safety hazards.

Method used

The integrated operation and maintenance management system, through basic calibration and environmental simulation, regional aging database, on-site parameter input and interaction, aging calculation engine, result output and boundary scenario correction and iterative optimization module, combined with multi-factor coupled regional meteorological coefficient, installation location coefficient and boundary scenario correction coefficient, can accurately calculate the aging degree and remaining life of sealing gaskets and formulate operation and maintenance strategies.

Benefits of technology

It enables accurate aging prediction in different climate zones and installation environments, reduces unnecessary maintenance costs, promptly identifies potential risks, and ensures the safety and reliability of fire protection systems.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

This application discloses a comprehensive operation and maintenance management system, belonging to the field of fire protection operation and maintenance technology. It includes: a basic calibration and environmental simulation module connected in sequence with signals, a regional aging database module, a field parameter input and interaction module, an aging calculation engine module, a result output module, an operation and maintenance implementation module, and a boundary scene correction and iterative optimization module. By coupling multiple factors such as regional meteorological coefficient, installation location coefficient, and boundary scene correction coefficient, it systematically incorporates aging influencing factors such as temperature, UV, ozone, humidity, installation environment, opening and closing frequency, and media properties, which can better adapt to the operation and maintenance needs of fire valves under different climate zones, different installation environments, and different operating conditions.
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Description

Technical Field

[0001] This application belongs to the field of fire protection operation and maintenance technology, specifically, it relates to a comprehensive operation and maintenance management system. Background Technology

[0002] Fire valves are control components of building fire protection water supply systems. Their sealing performance directly affects the operational reliability of the fire protection system under fire conditions. Rubber gaskets are vulnerable components of fire valves, and aging, cracking, and performance degradation of the gaskets are among the main causes of leakage and malfunction of fire valves.

[0003] The current industry practice for the operation and maintenance management and aging prediction of fire valve sealing gaskets is to replace them at fixed intervals. The common practice is to replace gaskets after 5 years and scrap valves after 10 years. However, most of these practices do not fully consider the differences in gasket material, installation environment, actual operating conditions and actual aging status.

[0004] This model has two main drawbacks. First, it can lead to over-maintenance, causing a large number of gaskets that are still in normal working order to be replaced prematurely, increasing unnecessary maintenance costs. Second, it makes it difficult to detect risks in a timely manner for gaskets that experience premature performance degradation under harsh working conditions, which can easily leave fire safety hazards. Summary of the Invention

[0005] To address the aforementioned problems and technical deficiencies, this application adopts the following technical solution: a comprehensive operation and maintenance management system, comprising:

[0006] The module consists of the following components: basic calibration and environmental simulation module for sequential signal connection, regional aging database module, field parameter input and interaction module, aging calculation engine module, result output, operation and maintenance implementation module, and boundary scenario correction and iterative optimization module.

[0007] The basic calibration and environmental simulation module is used to simulate the aging process of the sealing gasket of the fire valve under different installation scenarios, complete the aging coefficient calibration and failure criterion calibration, and output the calibration data to the regional aging database module.

[0008] The regionalized aging database module is used to store standardized data related to the aging of sealing gaskets and provides a data retrieval interface;

[0009] The on-site parameter input and interaction module is used to collect and verify the on-site basic parameters of the target fire valve and output compliance parameters to the aging calculation engine module.

[0010] The aging calculation engine module is used to retrieve standardized data from the regionalized aging database module, combine compliance parameters to calculate the comprehensive aging degree and remaining sealing life of the target valve gasket, and match the corresponding maintenance level.

[0011] The result output and operation and maintenance implementation module is used to visualize the calculation results, push corresponding operation and maintenance strategies, and update the maintenance ledger.

[0012] The boundary scene correction and iterative optimization module has its input end connected to the result output and operation and maintenance implementation module, and its output end connected to the regional aging database module. It is used to correct the boundary scene prediction deviation, iteratively optimize the aging coefficient, and update it back to the regional aging database module.

[0013] Furthermore, the basic calibration and environmental simulation module includes a multi-scenario environmental simulation submodule with parallel signal connections, a coefficient standardization calibration submodule, and an aging failure criterion calibration submodule;

[0014] The multi-scenario environment simulation submodule is used to simulate the installation scenarios of four types of fire valves: outdoor sun-facing side, outdoor back-facing side, underground pump room, and indoor enclosed machine room. It completes the accelerated aging test of rubber gaskets and collects the benchmark data of the aging rate of the inner and outer rings of the gaskets.

[0015] The coefficient standardization calibration submodule is used to calibrate the gasket material coefficient, installation position coefficient, nonlinear aging index, and non-uniform aging weighting constant of inner and outer rings based on aging rate reference data.

[0016] The aging failure criterion calibration submodule is used to clarify the critical value of aging failure of sealing gaskets, define the corresponding boundary threshold between aging degree and maintenance level, and determine the rated reference life of gaskets of different materials.

[0017] Furthermore, the regionalized aging database module includes a regional meteorological coefficient database sub-module, a coefficient and rule database sub-module, a boundary scenario correction database sub-module, and a data update and maintenance sub-module that is subordinate to the above three sub-modules in a hierarchical management relationship.

[0018] The regional meteorological coefficient database submodule, coefficient and rule database submodule, and boundary scene correction database submodule are parallel standardized data storage units;

[0019] The data update and maintenance submodule is used to perform full lifecycle compliance verification, data update, version management and traceability control on the three data storage units, and to receive the feedback data from the boundary scenario correction and iterative optimization module to complete the database update.

[0020] Preferably, the on-site parameter input and interaction module includes a basic information input submodule and a parameter compliance verification submodule;

[0021] The basic information input submodule is used to collect the mandatory parameters and optional supplementary parameters of the target fire valve. The mandatory parameters include the installation area, installation location, gasket material, and service life. The optional supplementary parameters include the opening and closing frequency, media type, and scene corrosion level.

[0022] The parameter compliance verification submodule is used to verify the integrity, format compliance, and numerical rationality of parameters, and outputs a compliant parameter package that has passed the verification.

[0023] Furthermore, the aging calculation engine module calculates the overall sealing aging degree of the target valve gasket using the following formula:

[0024]

[0025] In the formula, The overall aging degree of the seal is measured in terms of 0% to 100%.

[0026] This refers to the gasket material coefficient;

[0027] For the installation of regional weather coefficients;

[0028] Installation location coefficient;

[0029] This is the correction factor for the opening and closing frequency;

[0030] This is the correction factor for media corrosion.

[0031] 1.18 is a fixed weighting constant for non-uniform aging of the inner and outer rings;

[0032] t represents the actual service life of the gasket, in years;

[0033] n is a non-linear aging index, with a value ranging from 1.1 to 1.3.

[0034] Furthermore, the aging calculation engine module calculates the remaining sealing life of the target valve gasket using the following formula:

[0035]

[0036] In the formula, Remaining seal life, in years;

[0037] The rated reference life of the gasket for the corresponding material is in years;

[0038] For overall aging of the seal.

[0039] Preferably, the aging calculation engine module includes a coefficient automatic retrieval submodule, a seal comprehensive aging calculation submodule, a remaining seal life calculation submodule, and an operation and maintenance level determination submodule, which are connected by signals in sequence.

[0040] The automatic coefficient retrieval submodule is used to match and retrieve the corresponding standardized coefficients and benchmark data from the regional aging database module according to the compliance parameters of the target valve.

[0041] The sealing comprehensive aging degree calculation submodule is used to execute the integrated formula to complete the aging degree calculation;

[0042] The remaining seal life calculation submodule is used to calculate the remaining seal life based on the degree of aging.

[0043] The maintenance level determination submodule is used to match the corresponding maintenance level and handling rules based on the overall aging degree of the seal.

[0044] Furthermore, the determination rules of the operation and maintenance level determination submodule are as follows:

[0045] when When the percentage is less than 30%, it is considered to be at a normal maintenance level, and routine inspections are performed.

[0046] When 30%≤ When the percentage is less than 60%, it is determined that the inspection level should be increased, the inspection cycle should be shortened, and additional sealing performance testing should be conducted.

[0047] When 60%≤ If the gasket is less than 90%, it is determined to be a gasket replacement requirement, and maintenance personnel will be arranged to replace the sealing gasket.

[0048] when When the rate is ≥90%, it is determined to be an emergency replacement level, and the target fire valve should be replaced immediately.

[0049] Furthermore, the boundary scene correction and iterative optimization module includes a boundary scene correction sub-module and a model optimization sub-module connected by sequential signals;

[0050] The boundary scene correction submodule is used to supplement specific correction coefficients and correct prediction biases for extreme boundary scenes with high salt spray, high corrosion, and high opening and closing frequency.

[0051] The model optimization submodule is used to compare the calculated values ​​with the actual aging data measured during on-site gasket disassembly and inspection, statistically analyze the prediction error, iteratively optimize all coefficients, and then send the optimized coefficients back to the regional aging database module to complete the update.

[0052] Preferably, the result output and maintenance log update submodule of the operation and maintenance implementation module are also used to automatically reset the service life of the gasket of the target fire valve after the sealing gasket replacement is completed, and simultaneously generate a full life cycle tracking file of the new gasket. The material, installation time, and installation environment parameters of the new gasket are pushed to the aging calculation engine module to automatically establish a new baseline for aging prediction. At the same time, the maintenance records are synchronously connected to the fire protection facility maintenance management platform.

[0053] Compared to existing technologies, the beneficial effects of this application are as follows:

[0054] This application systematically incorporates aging influencing factors such as temperature, UV, ozone, humidity, installation environment, opening and closing frequency, and media properties by using a multi-factor coupled regional meteorological coefficient, installation location coefficient, and boundary scenario correction coefficient. This allows it to better adapt to the operation and maintenance needs of fire valves under different climate zones, installation environments, and operating conditions.

[0055] A complete closed-loop system has been built, from basic calibration, database construction, parameter input, calculation, operation and maintenance strategy output to model iterative optimization. No additional sensors, special testing equipment, or valve disassembly and inspection are required. Aging prediction can be completed simply by obtaining basic parameters from the maintenance log. Maintenance personnel can easily complete the operation. Attached Figure Description

[0056] In the attached diagram:

[0057] Figure 1 This is a system schematic diagram of an embodiment of this application. Detailed Implementation

[0058] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some embodiments of this application, but not all embodiments. Generally, the components of the embodiments of this application described and shown in the accompanying drawings can be arranged and designed in various different configurations.

[0059] Example 1, such as Figure 1 As shown, a comprehensive operation and maintenance management system includes:

[0060] The module consists of the following components: basic calibration and environmental simulation module for sequential signal connection, regional aging database module, field parameter input and interaction module, aging calculation engine module, result output, operation and maintenance implementation module, and boundary scenario correction and iterative optimization module.

[0061] The basic calibration and environmental simulation module is used to simulate the aging process of sealing gaskets of fire valves under different installation scenarios, complete the calibration of aging coefficient and failure criterion, and output the calibration data to the regional aging database module.

[0062] The regionalized aging database module is used to store standardized data related to the aging of gaskets and provides a data retrieval interface;

[0063] The on-site parameter input and interaction module is used to collect and verify the on-site basic parameters of the target fire valve and output compliance parameters to the aging calculation engine module.

[0064] The aging calculation engine module is used to retrieve standardized data from the regional aging database module, combine it with compliance parameters to calculate the overall aging degree and remaining sealing life of the target valve gasket, and match the corresponding maintenance level.

[0065] The results output and operation and maintenance implementation module is used to visualize the calculation results, push corresponding operation and maintenance strategies, and update the maintenance ledger.

[0066] The boundary scene correction and iterative optimization module has its input end connected to the result output and operation and maintenance implementation module, and its output end connected to the regional aging database module. It is used to correct the boundary scene prediction deviation, iteratively optimize the aging coefficient, and update it back to the regional aging database module.

[0067] The current fire protection system uses Z41X-16Q type fire-specific rising stem resilient seated gate valve, with a nominal pressure of 1.6MPa, DN150, and the sealing gasket is a national standard EPDM ethylene propylene diene monomer rubber gasket of the same batch, with a thickness of 3mm and a Shore A hardness of 60±5HA. It has been in use for 6 years, with 8 opening and closing times per year, and the conveying medium is normal temperature fire-fighting clean water.

[0068] The testing equipment used in this embodiment includes a QLH-500 hot air aging test chamber, a ZW-P fluorescent ultraviolet aging test chamber, a QL-100 ozone aging test chamber, a hydraulic compression set fixture, an LX-A type Shore hardness tester, a Zeiss EVO18 scanning electron microscope, and a YWX-250 salt spray test chamber.

[0069] The test subjects were EPDM gasket samples of the same batch and specifications as the valves on site, totaling 30 groups, with 5 parallel samples in each group. Accelerated aging tests were conducted for 4 types of installation scenarios, and the test parameters were set as follows:

[0070] 1. Outdoor sunlit scene, circulating temperature -10℃~60℃, diurnal temperature difference 20℃, average daily high temperature duration 8h; UV irradiance 0.89W / m², average daily irradiation duration 12h; ozone concentration 60pphm; relative humidity 40%~80% cycle; gasket compression rate 25%; test cycle 720h.

[0071] 2. Outdoor backlit scenario, circulating temperature 0℃~45℃, day-night temperature difference 15℃, average daily high temperature duration 6h; UV irradiance 0.3W / m², average daily irradiation duration 4h; ozone concentration 50pphm; relative humidity 45%~75% cycle; gasket compression rate 25%; test cycle 720h.

[0072] 3. Underground pump room scenario, constant temperature 20℃, no temperature difference; no UV radiation; ozone concentration 20pphm; constant relative humidity 60%; gasket compression rate 25%; test cycle 720h.

[0073] 4. Indoor enclosed machine room setting, constant temperature 25℃, no temperature difference; no UV radiation; ozone concentration 15pphm; constant relative humidity 50%; gasket compression rate 25%; test cycle 720h.

[0074] During the experiment, samples were taken every 120 hours to test the Shore A hardness, compression set, and surface morphology of the outer and inner rings of the gasket samples. The final baseline data were collected. After the same period of aging, the hardness change rate of the outer ring of the gasket in the underground pump room scenario was 8.2%, and the hardness change rate of the inner ring was 4.3%; the hardness change rate of the outer ring of the gasket in the outdoor sun-facing scenario was 27.6%, and the hardness change rate of the inner ring was 14.1%. The failure patterns of 30 groups of samples were analyzed. 94% of the samples failed starting from the outer ring of the gasket, and the average aging rate of the outer ring was 1.86 times that of the inner ring.

[0075] Based on the accelerated aging test data mentioned above, the standardization calibration of all coefficients was completed, such as the material coefficient. Calibration based on EPDM =1.0; NBR calibration =1.2; Fluororubber calibration =0.7; Installation location coefficient is Calibration is performed using the outdoor backlit side as a reference. =1.0; Outdoor sun-facing surface =1.3; Underground pump room =0.7; Indoor enclosed machine room =0.6; Nonlinear aging index n is calibrated for underground / indoor scenes n=1.1; for outdoor backlit scenes n=1.2; for outdoor frontlit scenes n=1.3;

[0076] Based on the outer ring contributing 80% to the seal failure and the inner ring 20%, combined with a weighting coefficient of 1.3 for the outer ring and 0.7 for the inner ring, the fixed weighting constant is calculated to be 0.8 × 1.3 + 0.2 × 0.7 = 1.18; the scenario correction coefficient is for an annual opening and closing frequency of ≤12 times. =1.0; 12-50 opening and closing times per year. =1.1; Annual start / stop > 50 times, =1.2; Clear water medium =1.0; seawater or high salt spray medium =1.2; weakly corrosive medium =1.3.

[0077] Specifically, at this point, the overall aging degree of the seal is defined. =100%, corresponding to the gasket reaching any of the following critical states: compression set ≥50%; Shore A hardness change ≥15HA; surface penetrating cracks; leakage rate >0.01MPa / min under 1.6MPa water pressure for 5 minutes.

[0078] Rated reference life Under standard operating conditions, EPDM gaskets have a TF of 10 years; NBR gaskets =8 years; Fluororubber gasket =15 years.

[0079] Operation and maintenance level boundary thresholds are divided into the following four levels:

[0080] Normal operation and maintenance level, at this time <30%, perform quarterly routine inspections;

[0081] Increase the inspection level, at which point 30% ≤ If the seal is less than 60%, monthly inspections should be conducted, and a sealing pressure test should be performed every six months.

[0082] Gasket replacement grade, at which point 60% ≤ If the seal is less than 90%, replace the gasket within 30 days.

[0083] Emergency change of level, at this time If the failure rate is ≥90%, immediately stop using the valve and replace it.

[0084] The regional meteorological coefficient database submodule connects to the public database of the meteorological data center to obtain the average meteorological data of all districts and counties in China for the past 10 years. Based on the annual average temperature of 25℃, annual UV radiation of 3000MJ / m², annual average ozone concentration of 0.05mg / m³, and annual average relative humidity of 60%, the regional meteorological coefficients are calculated using a dimensionless weighted algorithm. The calculation formula is:

[0085]

[0086] In the formula, The average annual temperature of the target area =25℃ is the reference temperature;

[0087] The target region's annual UV radiation total. =3000 MJ / m2 is the baseline UV radiation value;

[0088] The target region's annual average ozone concentration. =0.05mg / m3 is the baseline ozone concentration;

[0089] The target region's average annual relative humidity. =60% is the baseline relative humidity;

[0090] 0.4, 0.3, 0.2, and 0.1 are the weight values ​​of each environmental factor. These weight values ​​were determined by a four-factor, three-level orthogonal accelerated aging test based on the range analysis of the influence of each factor on the aging of the sealing gasket.

[0091] In this embodiment, the corresponding calculation is obtained = 0.89;

[0092] Regarding data updates, rules for automatic annual meteorological data updates and quarterly coefficient iteration optimization are set, full data update logs are retained, and a version management mechanism is established.

[0093] The basic information input submodule in the on-site parameter input and interaction module allows you to input the target valve parameters, installation area, installation location (underground pump room), gasket material (EPDM), service life (6 years), annual opening and closing frequency (8 times), and medium (clean water).

[0094] The parameter compliance verification submodule verifies the integrity, format compliance, and numerical rationality of parameters. After the verification is passed, a standardized compliant parameter package is generated and pushed to the aging calculation engine module.

[0095] The coefficient auto-retrieval submodule in the aging calculation engine module retrieves the corresponding coefficients based on the compliance parameter package. =1.0、 = 0.89、 =0.7、 =1.0、 =1.0, n=1.1, =10 years;

[0096] The formula for calculating the overall aging degree of the seal is:

[0097]

[0098] The final calculation is ≈5.28%;

[0099] Meanwhile, the aging degree of the outer ring of the gasket was calculated to be DO≈5.81% and the aging degree of the inner ring to be DI≈3.13% respectively;

[0100] The formula for calculating the remaining seal life is:

[0101]

[0102] The final calculation is ≈9.38 years;

[0103] Operation and maintenance level determination is based on =5.28%, which is considered a normal operation and maintenance level.

[0104] The output generates a standardized fire valve gasket aging prediction report, which includes basic valve information, aging prediction results, trend prediction curves, compliance recommendations, and supports data export.

[0105] Then, a standardized inspection work order of the corresponding level is sent out, which clarifies the inspection content, acceptance standards and completion time limit;

[0106] It also updates the valve electronic maintenance log simultaneously, automatically resets the service life after gasket replacement, and establishes a full life cycle tracking file for new gaskets.

[0107] Example 2: This example applies to an outdoor fire hydrant network in a coastal chemical industrial park. The target valve is a D341X-16Q type fire-fighting flange butterfly valve, DN150, nominal pressure 1.6MPa, with NBR nitrile rubber gasket. It has been in use for 9 years, installed outdoors on the sunlit side in a coastal high-salt-fog environment, with an average of 25 opening and closing times per year. The transported medium is ambient temperature fire-fighting water.

[0108] Accelerated aging tests under high salt spray conditions were conducted using the YWX-250 salt spray test chamber to calibrate the correction factor for high salt spray conditions along the coast. =1.2;

[0109] The regional coefficient is the meteorological coefficient of a specific location. =1.01;

[0110] Then, complete the target valve parameter input and compliance verification, and generate a compliance parameter package;

[0111] The coefficients are retrieved automatically. =1.2、 =1.01、 =1.3、 =1.1、 =1.2, n=1.3, =8 years;

[0112] Substituting the aging degree into the formula, we can calculate... ≈55.25%;

[0113] The remaining lifespan is calculated as follows ≈3.58 years;

[0114] Based on the condition that 30%≤55.25%<60%, the inspection level is determined to be enhanced, and a maintenance strategy of monthly inspection and sealing pressure test every 3 months is implemented.

[0115] The embodiments described above are merely preferred embodiments of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications, improvements, and substitutions without departing from the concept of this application, and these all fall within the protection scope of this application.

Claims

1. A comprehensive operation and maintenance management system, characterized in that, include: The module consists of the following components: basic calibration and environmental simulation module for sequential signal connection, regional aging database module, field parameter input and interaction module, aging calculation engine module, result output, operation and maintenance implementation module, and boundary scenario correction and iterative optimization module. The basic calibration and environmental simulation module is used to simulate the aging process of the sealing gasket of the fire valve under different installation scenarios, complete the aging coefficient calibration and failure criterion calibration, and output the calibration data to the regional aging database module. The regionalized aging database module is used to store standardized data related to the aging of sealing gaskets and provides a data retrieval interface; The on-site parameter input and interaction module is used to collect and verify the on-site basic parameters of the target fire valve and output compliance parameters to the aging calculation engine module. The aging calculation engine module is used to retrieve standardized data from the regionalized aging database module, combine compliance parameters to calculate the comprehensive aging degree and remaining sealing life of the target valve gasket, and match the corresponding maintenance level. The result output and operation and maintenance implementation module is used to visualize the calculation results, push corresponding operation and maintenance strategies, and update the maintenance ledger. The boundary scene correction and iterative optimization module has its input end connected to the result output and operation and maintenance implementation module, and its output end connected to the regional aging database module. It is used to correct the boundary scene prediction deviation, iteratively optimize the aging coefficient, and update it back to the regional aging database module.

2. The integrated operation and maintenance management system according to claim 1, characterized in that, The basic calibration and environmental simulation module includes a multi-scenario environmental simulation submodule with parallel signal connections, a coefficient standardization calibration submodule, and an aging failure criterion calibration submodule. The multi-scenario environment simulation submodule is used to simulate the installation scenarios of four types of fire valves: outdoor sun-facing side, outdoor back-facing side, underground pump room, and indoor enclosed machine room. It completes the accelerated aging test of rubber gaskets and collects the benchmark data of the aging rate of the inner and outer rings of the gaskets. The coefficient standardization calibration submodule is used to calibrate the gasket material coefficient, installation position coefficient, nonlinear aging index, and non-uniform aging weighting constant of inner and outer rings based on aging rate reference data. The aging failure criterion calibration submodule is used to clarify the critical value of aging failure of sealing gaskets, define the corresponding boundary threshold between aging degree and maintenance level, and determine the rated reference life of gaskets of different materials.

3. The integrated operation and maintenance management system according to claim 1, characterized in that, The regionalized aging database module includes a regional meteorological coefficient database sub-module, a coefficient and rule database sub-module, a boundary scenario correction database sub-module, and a data update and maintenance sub-module, which is subordinate to the above three sub-modules in a hierarchical management relationship. The regional meteorological coefficient database submodule, coefficient and rule database submodule, and boundary scene correction database submodule are parallel standardized data storage units; The data update and maintenance submodule is used to perform full lifecycle compliance verification, data update, version management and traceability control on the three data storage units, and to receive the feedback data from the boundary scenario correction and iterative optimization module to complete the database update.

4. The integrated operation and maintenance management system according to claim 3, characterized in that, The on-site parameter input and interaction module includes a basic information input submodule and a parameter compliance verification submodule; The basic information input submodule is used to collect the mandatory parameters and optional supplementary parameters of the target fire valve. The mandatory parameters include the installation area, installation location, gasket material, and service life. The optional supplementary parameters include the opening and closing frequency, media type, and scene corrosion level. The parameter compliance verification submodule is used to verify the integrity, format compliance, and numerical rationality of parameters, and outputs a compliant parameter package that has passed the verification.

5. The integrated operation and maintenance management system according to claim 1, characterized in that, The aging calculation engine module calculates the overall sealing aging degree of the target valve gasket using the following formula: ; In the formula, The overall aging degree of the seal is measured in terms of 0% to 100%. This refers to the gasket material coefficient; For the installation of regional weather coefficients; Installation location coefficient; This is the correction factor for the opening and closing frequency; This is the correction factor for media corrosion. 1.18 is a fixed weighting constant for non-uniform aging of the inner and outer rings; t represents the actual service life of the gasket, in years; n is a non-linear aging index, with a value ranging from 1.1 to 1.

3.

6. The integrated operation and maintenance management system according to claim 5, characterized in that, The aging calculation engine module calculates the remaining sealing life of the target valve gasket using the following formula: ; In the formula, Remaining seal life, in years; The rated reference life of the gasket for the corresponding material is in years; For overall aging of the seal.

7. The integrated operation and maintenance management system according to claim 5, characterized in that, The aging calculation engine module includes a coefficient automatic retrieval submodule, a seal comprehensive aging calculation submodule, a remaining seal life calculation submodule, and an operation and maintenance level determination submodule, which are connected by signals in sequence. The automatic coefficient retrieval submodule is used to match and retrieve the corresponding standardized coefficients and benchmark data from the regional aging database module according to the compliance parameters of the target valve. The sealing comprehensive aging degree calculation submodule is used to execute the integrated formula to complete the aging degree calculation; The remaining seal life calculation submodule is used to calculate the remaining seal life based on the degree of aging. The maintenance level determination submodule is used to match the corresponding maintenance level and handling rules based on the overall aging degree of the seal.

8. The integrated operation and maintenance management system according to claim 7, characterized in that, The determination rules for the operation and maintenance level determination submodule are as follows: when When the percentage is less than 30%, it is considered to be at a normal maintenance level, and routine inspections are performed. When 30%≤ When the percentage is less than 60%, it is determined that the inspection level should be increased, the inspection cycle should be shortened, and additional sealing performance testing should be conducted. When 60%≤ If the gasket is less than 90%, it is determined to be a gasket replacement requirement, and maintenance personnel will be arranged to replace the sealing gasket. when When the rate is ≥90%, it is determined to be an emergency replacement level, and the target fire valve should be replaced immediately.

9. The integrated operation and maintenance management system according to claim 1, characterized in that, The boundary scene correction and iterative optimization module includes a boundary scene correction sub-module and a model optimization sub-module connected by sequential signals. The boundary scene correction submodule is used to supplement specific correction coefficients and correct prediction biases for extreme boundary scenes with high salt spray, high corrosion, and high opening and closing frequency. The model optimization submodule is used to compare the calculated values ​​with the actual aging data of the gaskets during disassembly and inspection, statistically analyze the prediction error, iteratively optimize all coefficients, and then send the optimized coefficients back to the regional aging database module to complete the update.

10. A comprehensive operation and maintenance management system according to claim 7, characterized in that, The output of the results and the maintenance ledger update submodule of the operation and maintenance implementation module are also used to automatically reset the service life of the gasket of the target fire valve after the gasket replacement is completed, and simultaneously generate a full life cycle tracking file of the new gasket. The material, installation time and installation environment parameters of the new gasket are pushed to the aging calculation engine module to automatically establish a baseline for a new round of aging prediction. At the same time, the maintenance records are synchronously connected to the fire protection facility maintenance management platform.