Fire-fighting equipment maintenance management system and method based on Internet of Things

Abstract

The invention discloses a fire-fighting equipment maintenance management system and method based on the Internet of Things, and belongs to the technical field of maintenance management. Constructing a distribution map of fire fighting equipment in the city and dividing sub-regions; a sensor is used for monitoring starting time data, ending time data and environment humidity data of the fire-fighting equipment in use; calculating the working time of the fire-fighting equipment in use; constructing a maintenance period, calculating the use frequency, the average working duration and the fault rate of the fire-fighting equipment, and calculating the comprehensive fault rate of the sub-regions; calculating the comprehensive average failure rate of the city; and presetting a comprehensive failure rate threshold value, analyzing and distributing priorities for the fire fighting equipment, and designing maintenance management according to different priorities. According to the invention, through real-time monitoring, dynamic calculation and priority allocation, the reliability of fire fighting equipment is improved, and resource waste is reduced; and finally, refined and intelligent management of the fire-fighting equipment is realized, the equipment maintenance efficiency is improved, and the safety and reliability of the fire-fighting system are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of maintenance management, and in particular to a fire-fighting equipment maintenance management system and method based on the Internet of Things. Background Art

[0002] With the acceleration of urbanization, the types and quantity of fire-fighting equipment in modern buildings are increasing, and the management and maintenance needs of fire-fighting systems are becoming more and more complex. Traditional fire-fighting equipment maintenance management mainly relies on regular inspections and manual records. This method has obvious limitations in scenarios where the number of equipment is large and widely distributed: manual inspections are easily affected by subjective factors and it is difficult to grasp the status of equipment in real time. Traditional management methods cannot effectively integrate environmental data and equipment usage, making it difficult to achieve refined management. In recent years, through sensor networks, geographic information systems and big data analysis, the Internet of Things technology can collect equipment operating status and environmental information in real time, providing support for accurate analysis and dynamic optimization management. However, the current Internet of Things-based fire-fighting equipment management technology is mostly focused on status monitoring, and has failed to fully solve the problems of optimizing equipment maintenance cycles and rationally allocating resources, resulting in blind spots in maintenance work and failure to fully meet actual needs.

[0003] Existing technologies lack comprehensive analysis of the actual frequency of equipment use, working hours and environmental factors in the maintenance and management of fire-fighting equipment. Existing systems are mostly based on static data, ignoring the impact of dynamically changing environmental conditions on equipment performance. It is difficult to conduct a comprehensive assessment of the health level of equipment in different areas, resulting in low efficiency in the allocation of maintenance resources, and high-risk equipment and areas are not given priority. There is a lack of dynamic adjustment mechanisms, and the existing management model is often fixed cycle and unified standards, which cannot adapt to changes in actual needs. Summary of the invention

[0004] The purpose of the present invention is to provide a fire protection equipment maintenance management system and method based on the Internet of Things to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] A fire equipment maintenance and management method based on the Internet of Things, the method includes the following steps: constructing a fire equipment distribution map in a city based on a geographic information system and dividing it into sub-areas; using sensors to monitor the start time data, end time data and environmental humidity data of fire equipment in use; calculating the working time of fire equipment in use based on the start time data and end time data; constructing a maintenance cycle, calculating the use frequency and average working time of fire equipment within the maintenance cycle; calculating the failure rate of fire equipment, and calculating the comprehensive failure rate of sub-areas within the maintenance cycle; calculating the comprehensive average failure rate of the city based on the comprehensive failure rate of the sub-areas; presetting a comprehensive failure rate threshold, analyzing and assigning priorities to fire equipment, and designing maintenance management according to different priorities.

[0007] As a preferred solution of the fire-fighting equipment maintenance and management method based on the Internet of Things described in the present invention, a geographic information system is used to construct a distribution map of all fire-fighting equipment in a city, and based on the distribution map, the city is gridded and divided into several sub-areas, wherein a sub-area contains at least one fire-fighting equipment; an activation timing sensor is deployed on the fire-fighting equipment, and the activation timing sensor is used to detect the usage information of the fire-fighting equipment, and the usage information includes the start time data and the end time data of the fire-fighting equipment in a single use.

[0008] The fire-fighting equipment is also equipped with an environmental sensor, which is used to monitor humidity data of the environment in which the fire-fighting equipment is located.

[0009] As a preferred solution of the fire equipment maintenance management method based on the Internet of Things of the present invention, the ath sub-area is recorded as A a , the i-th fire fighting equipment is recorded as XF i , the starting time data of the i-th fire-fighting equipment in the a-th sub-area in the n-th use is recorded as A a (XF i，n )_st, record the end time data of the i-th fire-fighting equipment in the a-th sub-area in the n-th use as A a (XF i，n )_en.

[0010] Based on the start time data A a (XF i，n )_st and end time data A a (XF i，n )_en, calculate fire equipment XF i The working time in the nth use is calculated as: WH a，i，n =A a (XF i，n )_en-A a (XF i，n)_st, where WH a，i，n Indicates sub-area A a Fire Fighting Equipment in XF i The working time during the nth use.

[0011] As a preferred solution of the fire equipment maintenance management method based on the Internet of Things described in the present invention, a maintenance cycle is constructed in weeks, and the maintenance process of each w maintenance cycle is as follows:

[0012] The wth maintenance cycle is recorded as MC w , obtain the maintenance cycle MC w Inner sub-area A a The average humidity data is denoted as MH w，a .

[0013] Calculate fire equipment XF i During the maintenance cycle MC w The usage frequency is as follows:

[0014]

[0015] Among them, F w (XF i ) indicates fire fighting equipment XF i During the maintenance cycle MC w Frequency of use within, T w (XF i ) indicates fire fighting equipment XF i During the maintenance cycle MC w Total number of times used within (according to the maintenance cycle MC w The total number of times the start time data monitored by the timing sensor is enabled within a period of time).

[0016] Calculate fire equipment XF i During the maintenance cycle MC w The average working hours within a period are calculated as follows:

[0017]

[0018] in, Indicates fire fighting equipment XF i During the maintenance cycle MC w Average working hours in |MC w |Indicates maintenance cycle MC w The total number of days.

[0019] Based on maintenance cycle MC w Inner sub-area A a Average humidity data MH w，a 、Fire fighting equipment XF iDuring the maintenance cycle MC w Frequency of use within F w (XF i ) and fire fighting equipment XF i During the maintenance cycle MC w Average working hours Calculate fire equipment XF i The failure rate is calculated as follows:

[0020]

[0021] Among them, FR a，i (MC w ) represents the maintenance period MC w Internal fire fighting equipment XF i The failure rate of the load is α, and α represents the preset humidity influence factor.

[0022] In the present invention, the fire fighting equipment XF i During the maintenance cycle MC w Frequency of use within F w (XF i ) and fire fighting equipment XF i During the maintenance cycle MC w Average working hours The multiplication of You can directly get fire fighting equipment XF i During the maintenance cycle MC w The total working time within the fire fighting equipment is longer. i The higher the failure rate, (1+α×MH w，a ) Corrected the effect of humidity on equipment failure. The higher the humidity, the more likely the electrical components and mechanical parts inside the fire fighting equipment will be damaged.

[0023] Based on maintenance cycle MC w Internal fire fighting equipment XF i Failure rate FR a，i (MC w ), calculate the maintenance period MC w Inner sub-area A a The comprehensive failure rate is calculated as follows:

[0024]

[0025] Among them, CFR a (MC w ) represents the maintenance period MC w Inner sub-area A a The comprehensive failure rate of I represents the sub-area A aThe total number of fire-fighting equipment in the system, β represents the influencing factor of the failure rate of the preset fire-fighting equipment.

[0026] In the present invention, within each maintenance cycle, the failure rate of a single device is calculated through the equipment's frequency of use, average working time and environmental humidity data, and the comprehensive failure rate of all equipment in the sub-area is further calculated; the comprehensive failure rate does not just stay at the level of a single fire-fighting device, but reflects the operating health level of the entire sub-area, providing a decision-making basis for the regional maintenance plan; for example, an area with higher humidity may have a higher overall equipment failure rate and require enhanced maintenance; if the frequency of use and average working time of the fire-fighting equipment in the area are both high, enhanced maintenance is also required.

[0027] As a preferred solution of the fire equipment maintenance management method based on the Internet of Things described in the present invention, based on the maintenance cycle MC w Inner sub-area A a The comprehensive failure rate CFR a (MC w ), calculate the comprehensive average failure rate of the city, the calculation formula is as follows:

[0028]

[0029] in, represents the comprehensive average failure rate of the city, and A represents the total number of sub-regions.

[0030] The comprehensive failure rate threshold τ is preset, and

[0031] If sub-area A a The comprehensive failure rate CFR a (MC w )>τ, then it is sub-area A a Set high priority and MC w Priority maintenance is carried out within.

[0032] If sub-area A a The overall failure rate Then it is sub-area A a Set the medium priority, when the maintenance cycle MC w Maintenance will be carried out after all high-priority sub-areas within the area have been maintained.

[0033] If sub-area A a The overall failure rate Then it is sub-area A a Set low priority and maintain MC w No maintenance is performed inside.

[0034] Let w = w + 1, and perform maintenance cycle MC wIterative analysis to recalculate the comprehensive failure rate CFR of the sub-area a (MC w ), and re-set priorities to dynamically maintain and manage fire-fighting equipment.

[0035] In the present invention, sub-areas are divided into high, medium and low priorities according to the comprehensive failure rate and the preset comprehensive failure rate threshold, and high-priority areas are maintained first; the comprehensive failure rate is recalculated after each maintenance is completed, and dynamic adjustment is performed to ensure continuous optimization of management strategies; high-risk areas can be maintained as soon as possible to avoid the impact of key equipment failures on the overall fire protection system, and timely maintenance of high-priority areas ensures that the equipment is always in the best condition, reducing fire hazards caused by equipment failures; the dynamic adjustment mechanism of medium-priority areas ensures fairness and rationality of resource allocation; and the probability of low-priority areas sending safety hazards during this maintenance cycle is very low, so no maintenance is required, which can save resources; the comprehensive failure rate is iteratively analyzed in each cycle, which not only improves the real-time management capability, but also can quickly adjust the maintenance plan when the equipment status changes; the setting of dynamic priority ensures that the management plan is always close to actual needs, avoiding waste of resources or maintenance delays; through dynamic adjustment, the maintenance strategy can be continuously optimized with changes in equipment status, reducing management blind spots and omissions.

[0036] The fire equipment maintenance and management system based on the Internet of Things includes: fire equipment distribution and monitoring module, equipment usage data analysis module, maintenance cycle and failure rate calculation module and dynamic maintenance priority management module.

[0037] The fire-fighting equipment distribution and monitoring module: constructs a fire-fighting equipment distribution map in the city based on a geographic information system and divides it into sub-areas; uses sensors to monitor the start time data, end time data and environmental humidity data of the fire-fighting equipment in use.

[0038] The equipment use data analysis module calculates the working time of the fire-fighting equipment in use based on the start time data and the end time data.

[0039] The maintenance cycle and failure rate calculation module is used to construct a maintenance cycle, calculate the usage frequency and average working time of fire-fighting equipment within the maintenance cycle, calculate the failure rate of fire-fighting equipment, and calculate the comprehensive failure rate of sub-areas within the maintenance cycle.

[0040] The dynamic maintenance priority management module calculates the comprehensive average failure rate of the city based on the comprehensive failure rate of the sub-areas; presets the comprehensive failure rate threshold, analyzes and assigns priorities to fire-fighting equipment, and designs maintenance management according to different priorities.

[0041] Furthermore, the fire-fighting equipment distribution and monitoring module includes an equipment distribution map construction unit and an environmental data collection unit.

[0042] The equipment distribution map construction unit: uses a geographic information system to construct a distribution map of all fire-fighting equipment in the city, and based on the distribution map, the city is gridded into a number of sub-areas, wherein a sub-area contains at least one fire-fighting equipment; an activation timing sensor is deployed on the fire-fighting equipment, and the activation timing sensor is used to detect the use information of the fire-fighting equipment, and the use information includes the start time data and the end time data of the fire-fighting equipment in a single use.

[0043] The environmental data acquisition unit: The fire-fighting equipment is also equipped with an environmental sensor, which is used to monitor the humidity data of the environment in which the fire-fighting equipment is located.

[0044] Furthermore, the device usage data analysis module includes a working time calculation unit.

[0045] The working time calculation unit calculates the working time of the fire-fighting equipment in use based on the start time data and the end time data.

[0046] Furthermore, the maintenance cycle and failure rate calculation module includes a cycle data statistics unit, a single device failure rate calculation unit and a comprehensive failure rate analysis unit.

[0047] The data statistics unit within the period: the maintenance cycle is constructed in weeks. The maintenance process of each maintenance cycle is as follows:

[0048] Obtain the average humidity data of the sub-area during the maintenance period; calculate the usage frequency of fire-fighting equipment during the maintenance period; calculate the average working time of fire-fighting equipment during the maintenance period.

[0049] The single equipment failure rate calculation unit calculates the failure rate of the fire-fighting equipment based on the average humidity data of the sub-areas within the maintenance period, the use frequency of the fire-fighting equipment within the maintenance period, and the average working time of the fire-fighting equipment within the maintenance period.

[0050] The comprehensive failure rate analysis unit calculates the comprehensive failure rate of the sub-areas within the maintenance period based on the failure rate of the fire-fighting equipment within the maintenance period.

[0051] Furthermore, the dynamic maintenance priority management module includes a priority division unit and a dynamic adjustment unit.

[0052] The priority division unit calculates the comprehensive average failure rate of the city based on the comprehensive failure rate of the sub-areas within the maintenance period.

[0053] A comprehensive failure rate threshold is preset, and the comprehensive failure rate threshold is greater than the comprehensive average failure rate of the city.

[0054] If the comprehensive failure rate of a sub-area is greater than the comprehensive failure rate threshold, a high priority is set for the sub-area, and priority maintenance is performed during the maintenance cycle.

[0055] If the comprehensive failure rate of a sub-region is greater than the comprehensive average failure rate of the city but less than the comprehensive failure rate threshold, a medium priority is set for the sub-region, and maintenance is performed only after all high-priority sub-regions within the maintenance cycle have completed maintenance.

[0056] If the comprehensive failure rate of a sub-region is lower than the comprehensive average failure rate of the city, a low priority is set for the sub-region, and no maintenance is performed during the maintenance period.

[0057] The dynamic adjustment unit performs iterative analysis of the maintenance cycle, recalculates the comprehensive failure rate of the sub-areas, and re-sets the priorities to perform dynamic maintenance management on the fire-fighting equipment.

[0058] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: in the fire-fighting equipment maintenance management system and method based on the Internet of Things provided by the present invention, a fire-fighting equipment distribution map is constructed through a geographic information system, and equipment usage information and environmental humidity data are collected by enabling timing sensors and environmental sensors, providing basic data for subsequent failure rate calculations; secondly, the working hours, usage frequency, average working hours and failure rates of fire-fighting equipment are calculated, and the comprehensive failure rates of sub-regions and cities are further calculated, forming a scientific maintenance cycle management plan; by setting a priority for each sub-region, priority maintenance is given to sub-regions with high priorities, ensuring that high-risk areas receive maintenance in a timely manner and avoiding systemic risks caused by equipment failures; at the same time, through dynamic adjustment of each maintenance cycle, the maintenance strategy is optimized in real time, the reliability of fire-fighting equipment is improved, and resource waste is reduced; ultimately, refined and intelligent management of fire-fighting equipment is achieved, which not only improves the equipment maintenance efficiency, but also ensures the safety and reliability of the fire-fighting system. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0060] Figure 1 It is a schematic diagram of the steps of the fire-fighting equipment maintenance and management method based on the Internet of Things of the present invention;

[0061] Figure 2 It is a structural schematic diagram of the fire protection equipment maintenance and management system based on the Internet of Things of the present invention. DETAILED DESCRIPTION

[0062] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0063] See also Figure 1 In the first embodiment of the present invention, a fire-fighting equipment maintenance and management method based on the Internet of Things is provided, and the method comprises the following steps:

[0064] Step S1: construct a firefighting equipment distribution map in the city based on the geographic information system and divide it into sub-areas; use sensors to monitor the start time data, end time data and environmental humidity data of the firefighting equipment in use.

[0065] Specifically, a geographic information system is used to construct a distribution map of all fire-fighting equipment in a city. Based on the distribution map, the city is gridded into several sub-areas, wherein a sub-area contains at least one fire-fighting equipment. An activation timing sensor is deployed on the fire-fighting equipment, and the activation timing sensor is used to detect usage information of the fire-fighting equipment, and the usage information includes start time data and end time data of the fire-fighting equipment in a single use.

[0066] Furthermore, an environmental sensor is also deployed on the fire-fighting equipment, and the environmental sensor is used to monitor humidity data of the environment in which the fire-fighting equipment is located.

[0067] Step S2: Calculate the working time of the fire-fighting equipment in use based on the start time data and the end time data.

[0068] Specifically, the a-th sub-region is recorded as A a , the i-th fire fighting equipment is recorded as XF i , the starting time data of the i-th fire-fighting equipment in the a-th sub-area in the n-th use is recorded as A a (XF i，n )_st, record the end time data of the i-th fire-fighting equipment in the a-th sub-area in the n-th use as A a (XF i，n )_en.

[0069] Further, based on the start time data A a (XF i，n )_st and end time data A a (XF i，n )_en, calculate fire equipment XF i The working time in the nth use is calculated as: WHa，i，n =A a (XF i，n )_en-A a (XF i，n )_st, where WH a，i，n Indicates sub-area A a Fire Fighting Equipment in XF i The working time during the nth use.

[0070] For example, suppose that the fire fighting equipment XF1 in the sub-area A1 has the start time data A1 (XF 1，1 )_st is 9:00, and the end time data A1 (XF 1，1 )_en is 10:00, and the working time WH of the fire fighting equipment XF1 in the first use is obtained. 1，1，1 =1, that is, the working time WH of the fire fighting equipment XF1 in the first use 1，1，1 For 1 hour.

[0071] Step S3: Construct a maintenance cycle, calculate the usage frequency and average working time of fire-fighting equipment within the maintenance cycle; calculate the failure rate of fire-fighting equipment, and calculate the comprehensive failure rate of sub-areas within the maintenance cycle.

[0072] Specifically, the maintenance cycle is constructed in weeks, and the maintenance process of each w maintenance cycle is as follows:

[0073] The wth maintenance cycle is recorded as MC w , obtain the maintenance cycle MC w Inner sub-area A a The average humidity data is denoted as MH w，a .

[0074] Calculate fire equipment XF i During the maintenance cycle MC w The usage frequency is as follows:

[0075]

[0076] Among them, F w (XF i ) indicates fire fighting equipment XF i During the maintenance cycle MC w Frequency of use within, T w (XF i ) indicates fire fighting equipment XF i During the maintenance cycle MC w Total number of times used within (according to the maintenance cycle MC w The total number of times the start time data monitored by the timing sensor is enabled within a period of time).

[0077] For example, assuming that the total number of times the fire-fighting equipment XF1 is used within the maintenance period MC1 is 6 times, substitute the formula to obtain the frequency of use of the fire-fighting equipment XF1 within the maintenance period MC1: That is, the usage frequency F1 (XF1) of the fire-fighting equipment XF1 during the maintenance period MC1 is 0.86 times / day.

[0078] Calculate fire equipment XF i During the maintenance cycle MC w The average working hours within a period are calculated as follows:

[0079]

[0080] in, Indicates fire fighting equipment XF i During the maintenance cycle MC w Average working hours in |MC w | indicates maintenance cycle MC w The total number of days.

[0081] For example, suppose WH 1，1，2 =0.8, WH 1，1，3 =1, WH 1，1，4 =1.6, WH 1，1，5 =0.5, WH 1，1，6 =1.2, given WH 1，1，1 =1, substitute it into the formula to get the average working time of fire fighting equipment XF1 in the maintenance period MC1 That is, the average working time of fire equipment XF1 within the maintenance period MC1 It is 0.87 hours / day.

[0082] Based on maintenance cycle MC w Inner sub-area A a Average humidity data MH w，a , Fire fighting equipment XF i During the maintenance cycle MC w Frequency of use within F w (XF i ) and fire fighting equipment XF i During the maintenance cycle MC w Average working hours Calculate fire equipment XF i The failure rate is calculated as follows:

[0083]

[0084] Among them, FR a，i (MC w ) represents the maintenance period MCw Internal fire fighting equipment XF i The failure rate of the load is α, and α represents the preset humidity influence factor.

[0085] For example, assuming that the preset humidity influence factor α is 0.1, the average humidity data MH of sub-area A1 within maintenance period MC1 is 1，1 =75, substitute it into the formula to calculate the failure rate FR of fire equipment XF1 1，1 (MC1)=0.86×0.87×(1+0.1*75)=6.36.

[0086] Furthermore, based on the maintenance cycle MC w Internal fire fighting equipment XF i Failure rate FR a，i (MC w ), calculate the maintenance period MC w Inner sub-area A a The comprehensive failure rate is calculated as follows:

[0087]

[0088] Among them, CFR a (MC w ) represents the maintenance period MC w Inner sub-area A a The comprehensive failure rate of I represents the sub-area A a The total number of fire-fighting equipment in the system, β represents the influencing factor of the failure rate of the preset fire-fighting equipment.

[0089] For example, assuming that the total number of fire-fighting equipment in sub-area A1 is 3, and the failure rate influencing factor β of fire-fighting equipment is 0.9, FR 1，2 (MC1)=6.01,FR 1，2 (MC1)=5.86,FR 1，1 (MC1) = 6.36, substitute it into the formula to calculate the comprehensive failure rate of sub-area A1 within the maintenance period MC1

[0090] Step S4: Based on the comprehensive failure rate of the sub-areas, calculate the comprehensive average failure rate of the city; preset the comprehensive failure rate threshold, analyze and assign priorities to fire-fighting equipment, and design maintenance management according to different priorities.

[0091] Specifically, based on the maintenance cycle MC w Inner sub-area A a The comprehensive failure rate CFR a (MC w ), calculate the comprehensive average failure rate of the city, the calculation formula is as follows:

[0092]

[0093] in, represents the comprehensive average failure rate of the city, and A represents the total number of sub-regions.

[0094] The comprehensive failure rate threshold τ is preset, and

[0095] If sub-area A a The comprehensive failure rate CFR a (MC w )>τ, then it is sub-area A a Set high priority and MC w Priority maintenance is carried out within.

[0096] If sub-area A a The overall failure rate Then it is sub-area A a Set the medium priority, when the maintenance cycle MC w Maintenance will be carried out after all high-priority sub-areas within the area have been maintained.

[0097] If sub-area A a The overall failure rate Then it is sub-area A a Set low priority and maintain MC w No maintenance is performed inside.

[0098] Furthermore, let w = w + 1 and perform maintenance cycle MC w Iterative analysis to recalculate the comprehensive failure rate CFR of the sub-area a (MC w ), and re-set priorities to dynamically maintain and manage fire-fighting equipment.

[0099] For example, assuming that the total number of sub-regions A is 10, CFR2(MC1)=5.5, CFR3(MC1)=4.469, CFR4(MC1)=6.469, CFR5(MC1)=5.409, CFR6(MC1)=5.069, CFR7(MC1)=4.996, CFR8(MC1)=6.5, CFR9(MC1)=4.235, CFR 10 (MC1)=5.126,CFR1(MC1)=5.469,substitute into the formula to calculate the comprehensive average failure rate of the city Assuming the comprehensive failure rate threshold τ is 5.5, then, CFR4(MC1)=6.469>5.5, CFR8(MC1)=6.5>5.5, high priority is set for sub-areas A4 and A8, and priority maintenance is performed within the maintenance period MC1; then, 5.3242<CFR2(MC1)=5.5≤5.5, 5.3242<CFR5(MC1)=5.409≤5.5, 5.3242<CFR1(MC1)=5.469≤5. 5, then set medium priority for sub-area A2, sub-area A5 and sub-area A1, and perform maintenance only after all high-priority sub-areas within maintenance period MC1, i.e., sub-area A4 and sub-area A8, have completed maintenance; then, CFR3(MC1)=4.469<5.3242, CFR6(MC1)=5.069<5.3242, CFR7(MC1)=4.996<5.3242, CFR9(MC1)=4.235<5.3242, CFR 10 (MC1) = 5.126 < 5.3242, then sub-area A3, sub-area A6, sub-area A7, sub-area A9 and sub-area A 10 Set a low priority and do not perform maintenance during maintenance cycle MC1.

[0100] See also Figure 2 In the second embodiment of the present invention, a fire equipment maintenance and management system based on the Internet of Things is provided, which includes: a fire equipment distribution and monitoring module, an equipment usage data analysis module, a maintenance cycle and failure rate calculation module, and a dynamic maintenance priority management module.

[0101] The fire-fighting equipment distribution and monitoring module: constructs a fire-fighting equipment distribution map in the city based on a geographic information system and divides it into sub-areas; uses sensors to monitor the start time data, end time data and environmental humidity data of the fire-fighting equipment in use.

[0102] The equipment use data analysis module calculates the working time of the fire-fighting equipment in use based on the start time data and the end time data.

[0103] The maintenance cycle and failure rate calculation module is used to construct a maintenance cycle, calculate the usage frequency and average working time of fire-fighting equipment within the maintenance cycle, calculate the failure rate of fire-fighting equipment, and calculate the comprehensive failure rate of sub-areas within the maintenance cycle.

[0104] The dynamic maintenance priority management module calculates the comprehensive average failure rate of the city based on the comprehensive failure rate of the sub-areas; presets the comprehensive failure rate threshold, analyzes and assigns priorities to fire-fighting equipment, and designs maintenance management according to different priorities.

[0105] Furthermore, the fire-fighting equipment distribution and monitoring module includes an equipment distribution map construction unit and an environmental data collection unit.

[0106] The equipment distribution map construction unit: uses a geographic information system to construct a distribution map of all fire-fighting equipment in the city, and based on the distribution map, the city is gridded into a number of sub-areas, wherein a sub-area contains at least one fire-fighting equipment; an activation timing sensor is deployed on the fire-fighting equipment, and the activation timing sensor is used to detect the use information of the fire-fighting equipment, and the use information includes the start time data and the end time data of the fire-fighting equipment in a single use.

[0107] The environmental data acquisition unit: The fire-fighting equipment is also equipped with an environmental sensor, which is used to monitor the humidity data of the environment in which the fire-fighting equipment is located.

[0108] Furthermore, the device usage data analysis module includes a working time calculation unit.

[0109] The working time calculation unit calculates the working time of the fire-fighting equipment in use based on the start time data and the end time data.

[0110] Furthermore, the maintenance cycle and failure rate calculation module includes a cycle data statistics unit, a single device failure rate calculation unit and a comprehensive failure rate analysis unit.

[0111] The data statistics unit within the period: the maintenance cycle is constructed in weeks. The maintenance process of each maintenance cycle is as follows:

[0112] Obtain the average humidity data of the sub-area during the maintenance period; calculate the usage frequency of fire-fighting equipment during the maintenance period; calculate the average working time of fire-fighting equipment during the maintenance period.

[0113] The single equipment failure rate calculation unit calculates the failure rate of the fire-fighting equipment based on the average humidity data of the sub-areas within the maintenance period, the use frequency of the fire-fighting equipment within the maintenance period, and the average working time of the fire-fighting equipment within the maintenance period.

[0114] The comprehensive failure rate analysis unit calculates the comprehensive failure rate of the sub-areas within the maintenance period based on the failure rate of the fire-fighting equipment within the maintenance period.

[0115] Furthermore, the dynamic maintenance priority management module includes a priority division unit and a dynamic adjustment unit.

[0116] The priority division unit calculates the comprehensive average failure rate of the city based on the comprehensive failure rate of the sub-areas within the maintenance period.

[0117] A comprehensive failure rate threshold is preset, and the comprehensive failure rate threshold is greater than the comprehensive average failure rate of the city.

[0118] If the comprehensive failure rate of a sub-area is greater than the comprehensive failure rate threshold, a high priority is set for the sub-area, and priority maintenance is performed during the maintenance cycle.

[0119] If the comprehensive failure rate of a sub-region is greater than the comprehensive average failure rate of the city but less than the comprehensive failure rate threshold, a medium priority is set for the sub-region, and maintenance is performed only after all high-priority sub-regions within the maintenance cycle have completed maintenance.

[0120] If the comprehensive failure rate of a sub-region is lower than the comprehensive average failure rate of the city, a low priority is set for the sub-region, and no maintenance is performed during the maintenance period.

[0121] The dynamic adjustment unit performs iterative analysis of the maintenance cycle, recalculates the comprehensive failure rate of the sub-areas, and re-sets the priorities to perform dynamic maintenance management on the fire-fighting equipment.

[0122] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0123] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A fire-fighting equipment maintenance and management method based on the Internet of Things, characterized in that: The method comprises the following steps: Step S1: construct a firefighting equipment distribution map in the city based on the geographic information system and divide it into sub-areas; use sensors to monitor the start time data, end time data and environmental humidity data of the firefighting equipment in use; Step S2: Calculate the working time of the fire-fighting equipment in use based on the start time data and the end time data; Step S3: construct a maintenance cycle, calculate the usage frequency and average working time of fire-fighting equipment within the maintenance cycle; calculate the failure rate of fire-fighting equipment, and calculate the comprehensive failure rate of sub-areas within the maintenance cycle; Step S4: Based on the comprehensive failure rate of the sub-areas, calculate the comprehensive average failure rate of the city; preset the comprehensive failure rate threshold, analyze and assign priorities to fire-fighting equipment, and design maintenance management according to different priorities.

2. The method for firefighting equipment maintenance and management based on the Internet of Things according to claim 1 is characterized in that: The specific implementation process of step S1 includes: A geographic information system is used to construct a distribution map of all firefighting equipment in a city. Based on the distribution map, the city is grid-divided into a plurality of sub-areas, wherein one sub-area contains at least one firefighting equipment. An activation timing sensor is deployed on the firefighting equipment, and the activation timing sensor is used to detect usage information of the firefighting equipment, wherein the usage information includes start time data and end time data of the firefighting equipment in a single use. The fire-fighting equipment is also equipped with an environmental sensor, which is used to monitor humidity data of the environment in which the fire-fighting equipment is located.

3. The method for fire-fighting equipment maintenance and management based on the Internet of Things according to claim 2 is characterized in that: The specific implementation process of step S2 includes: Let the ath sub-region be A a , the i-th fire fighting equipment is recorded as XF i , the starting time data of the i-th fire-fighting equipment in the a-th sub-area in the n-th use is recorded as A a (XF i,n )_st, record the end time data of the i-th fire-fighting equipment in the a-th sub-area in the n-th use as A a (XF i,n )_en; Based on the start time data A a (XF i,n )_st and end time data A a (XF i,n )_en, calculate fire equipment XF i The working time in the nth use is calculated as: WH a,i,n =A a (XF i,n )_en-A a (XF i,n )_st, where WH a,i,n Indicates sub-area A a Fire Fighting Equipment in XF i The working time during the nth use.

4. The fire-fighting equipment maintenance and management method based on the Internet of Things according to claim 3 is characterized in that: The specific implementation process of step S3 includes: The maintenance cycle is constructed in weeks. The maintenance process of each maintenance cycle is as follows: The wth maintenance cycle is recorded as MC w , obtain the maintenance cycle MC w Inner sub-area A a The average humidity data is denoted as MH w,a ; Calculate fire equipment XF i During the maintenance cycle MC w The usage frequency is as follows: Among them, F w (XF i ) indicates fire fighting equipment XF i During the maintenance cycle MC w Frequency of use within, T w (XF i ) indicates fire fighting equipment XF i During the maintenance cycle MC w Total number of times used within Calculate fire equipment XF i During the maintenance cycle MC w The average working hours within a period are calculated as follows: in, Indicates fire fighting equipment XF i During the maintenance cycle MC w Average working hours in |MC w |Indicates maintenance cycle MC w Total number of days; Based on maintenance cycle MC w Inner sub-area A a Average humidity data MH w,a 、Fire fighting equipment XF i During the maintenance cycle MC w Frequency of use within F w (XF i ) and fire fighting equipment XF i During the maintenance cycle MC w Average working hours Calculate fire equipment XF i The failure rate is calculated as follows: Among them, FR a,i (MC w ) represents the maintenance period MC w Internal fire fighting equipment XF i The failure rate of α is the preset humidity influence factor; Based on maintenance cycle MC w Internal fire fighting equipment XF i Failure rate FR a,i (MC w ), calculate the maintenance period MC w Inner sub-area A a The comprehensive failure rate is calculated as follows: Among them, CFR a (MC w ) represents the maintenance period MC w Inner sub-area A a The comprehensive failure rate of I represents the sub-area A a The total number of fire-fighting equipment in the system, β represents the influencing factor of the failure rate of the preset fire-fighting equipment.

5. The method for fire-fighting equipment maintenance and management based on the Internet of Things according to claim 4 is characterized in that: The specific implementation process of step S4 includes: Based on maintenance cycle MC w Inner sub-area A a The comprehensive failure rate CFR a (MC w ), calculate the comprehensive average failure rate of the city, the calculation formula is as follows: in, represents the comprehensive average failure rate of the city, and A represents the total number of sub-regions; The comprehensive failure rate threshold τ is preset, and If sub-area A a The comprehensive failure rate CFR a (MC w )>τ, then it is sub-area A a Set high priority and MC w Priority maintenance within If sub-area A a The overall failure rate Then it is sub-area A a Set the medium priority, when the maintenance cycle MC w Maintenance will be carried out after all high-priority sub-areas within the area have been maintained; If sub-area A a The overall failure rate Then it is sub-area A a Set low priority and maintain MC w No maintenance is performed within the Let w = w + 1, and perform maintenance cycle MC w Iterative analysis to recalculate the comprehensive failure rate CFR of the sub-area a (MC w ), and re-set priorities to dynamically maintain and manage fire-fighting equipment.

6. A fire-fighting equipment maintenance and management system based on the Internet of Things, which executes a fire-fighting equipment maintenance and management method based on the Internet of Things as described in any one of claims 1 to 5, characterized in that: The system includes: a fire equipment distribution and monitoring module, an equipment usage data analysis module, a maintenance cycle and failure rate calculation module, and a dynamic maintenance priority management module; The fire equipment distribution and monitoring module: constructs a fire equipment distribution map in the city based on the geographic information system and divides it into sub-areas; uses sensors to monitor the start time data, end time data and environmental humidity data of the fire equipment in use; The equipment usage data analysis module calculates the working time of the fire-fighting equipment in use based on the start time data and the end time data; The maintenance cycle and failure rate calculation module: constructs a maintenance cycle, calculates the use frequency and average working time of fire-fighting equipment within the maintenance cycle; calculates the failure rate of fire-fighting equipment, and calculates the comprehensive failure rate of sub-areas within the maintenance cycle; The dynamic maintenance priority management module calculates the comprehensive average failure rate of the city based on the comprehensive failure rate of the sub-areas; presets the comprehensive failure rate threshold, analyzes and assigns priorities to fire-fighting equipment, and designs maintenance management according to different priorities.

7. The fire equipment maintenance and management system based on the Internet of Things according to claim 6 is characterized by: The fire equipment distribution and monitoring module includes an equipment distribution map construction unit and an environmental data acquisition unit; The equipment distribution map construction unit: uses a geographic information system to construct a distribution map of all firefighting equipment in the city, and based on the distribution map, the city is grid-divided into a plurality of sub-areas, wherein one sub-area contains at least one firefighting equipment; an activation timing sensor is deployed on the firefighting equipment, and the activation timing sensor is used to detect the use information of the firefighting equipment, and the use information includes the start time data and the end time data of the firefighting equipment in a single use; The environmental data acquisition unit: The fire-fighting equipment is also equipped with an environmental sensor, which is used to monitor the humidity data of the environment in which the fire-fighting equipment is located.

8. The fire equipment maintenance and management system based on the Internet of Things according to claim 7 is characterized in that: The equipment usage data analysis module includes a working time calculation unit; The working time calculation unit calculates the working time of the fire-fighting equipment in use based on the start time data and the end time data.

9. The fire equipment maintenance and management system based on the Internet of Things according to claim 8 is characterized by: The maintenance cycle and failure rate calculation module includes a cycle data statistics unit, a single device failure rate calculation unit and a comprehensive failure rate analysis unit; The data statistics unit within the period: the maintenance cycle is constructed in weeks. The maintenance process of each maintenance cycle is as follows: Obtain the average humidity data of the sub-area during the maintenance period; calculate the use frequency of fire-fighting equipment during the maintenance period; calculate the average working time of fire-fighting equipment during the maintenance period; The single equipment failure rate calculation unit calculates the failure rate of the fire-fighting equipment based on the average humidity data of the sub-area within the maintenance period, the use frequency of the fire-fighting equipment within the maintenance period, and the average working time of the fire-fighting equipment within the maintenance period; The comprehensive failure rate analysis unit calculates the comprehensive failure rate of the sub-areas within the maintenance period based on the failure rate of the fire-fighting equipment within the maintenance period.

10. The fire equipment maintenance and management system based on the Internet of Things according to claim 9 is characterized in that: The dynamic maintenance priority management module includes a priority division unit and a dynamic adjustment unit; The priority division unit calculates the comprehensive average failure rate of the city based on the comprehensive failure rate of the sub-areas within the maintenance period; A comprehensive failure rate threshold is preset, and the comprehensive failure rate threshold is greater than the comprehensive average failure rate of the city; If the comprehensive failure rate of a sub-area is greater than the comprehensive failure rate threshold, a high priority is set for the sub-area, and priority maintenance is performed during the maintenance cycle; If the comprehensive failure rate of a sub-region is greater than the comprehensive average failure rate of the city but less than the comprehensive failure rate threshold, the sub-region is set to a medium priority and maintenance is performed only after all high-priority sub-regions within the maintenance cycle have completed maintenance. If the comprehensive failure rate of a sub-region is lower than the comprehensive average failure rate of the city, a low priority is set for the sub-region, and no maintenance is performed during the maintenance cycle; The dynamic adjustment unit performs iterative analysis of the maintenance cycle, recalculates the comprehensive failure rate of the sub-areas, and re-sets the priorities to perform dynamic maintenance management on the fire-fighting equipment.

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