Fire-fighting equipment maintenance management system and method based on internet of things

Abstract

The application discloses a fire-fighting equipment maintenance management system and method based on Internet of Things, and belongs to the technical field of maintenance management; a city fire-fighting equipment distribution map is constructed and sub-regions are divided; a sensor is used to monitor starting time data, ending time data and environmental humidity data of the fire-fighting equipment in use; working time length of the fire-fighting equipment in use is calculated; a maintenance cycle is constructed, the use frequency, average working time length and failure rate of the fire-fighting equipment are calculated, and the comprehensive failure rate of the sub-regions is calculated; the comprehensive average failure rate of the city is calculated; a comprehensive failure rate threshold is preset, priorities of the fire-fighting equipment are analyzed and allocated, and the maintenance management is designed according to different priorities. The application improves the reliability of the fire-fighting equipment, reduces resource waste through real-time monitoring, dynamic calculation and priority allocation; and finally realizes fine and intelligent management of the fire-fighting equipment, improves equipment maintenance efficiency, and ensures the safety and reliability of the fire-fighting system.

Description

Technical Field

[0001] This invention relates to the field of maintenance management technology, specifically to a fire equipment maintenance management system and method based on the Internet of Things. Background Technology

[0002] With the acceleration of urbanization, the types and quantities of fire protection equipment in modern buildings are constantly increasing, making the management and maintenance needs of fire protection systems increasingly complex. Traditional fire protection equipment maintenance and management mainly rely on periodic inspections and manual recording, which has obvious limitations in scenarios with a large number of widely distributed devices: manual inspections are easily affected by subjective factors and it is difficult to grasp the real-time status of equipment; 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, Internet of Things (IoT) technology can collect equipment operating status and environmental information in real time, providing support for accurate analysis and dynamic optimization management. However, current IoT-based fire protection equipment management technologies are mostly focused on status monitoring and have not fully solved the problems of optimizing equipment maintenance cycles and rationally allocating resources, resulting in blind spots in maintenance work and failing to fully meet actual needs.

[0003] Existing technologies in fire protection equipment maintenance and management lack comprehensive analysis of actual equipment usage frequency, working hours, and environmental factors. Existing systems mostly rely on static data, ignoring the impact of dynamically changing environmental conditions on equipment performance. Furthermore, it is difficult to comprehensively assess the health level of equipment in different areas, resulting in low efficiency in the allocation of maintenance resources and failure to prioritize high-risk equipment and areas. In addition, there is a lack of dynamic adjustment mechanisms, and existing management models are often based on fixed cycles and uniform standards, which cannot adapt to changes in actual needs. Summary of the Invention

[0004] The purpose of this invention is to provide an Internet of Things-based fire equipment maintenance management system and method to solve the problems mentioned in the background art.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0006] This method for maintaining and managing fire-fighting equipment based on the Internet of Things (IoT) includes the following steps: Constructing a distribution map of fire-fighting equipment within a city using a geographic information system (GIS) and dividing it into sub-regions; monitoring the start time, end time, and ambient humidity data of fire-fighting equipment during use using sensors; calculating the operating time of the fire-fighting equipment based on the start and end time data; constructing a maintenance cycle and calculating the usage frequency and average operating time of the fire-fighting equipment within the maintenance cycle; calculating the failure rate of the fire-fighting equipment and the comprehensive failure rate of the sub-regions within the maintenance cycle; calculating the comprehensive average failure rate of the city based on the comprehensive failure rate of the sub-regions; setting a preset comprehensive failure rate threshold; analyzing and assigning priorities to the fire-fighting equipment; and designing maintenance management based on different priorities.

[0007] As a preferred embodiment of the IoT-based fire equipment maintenance and management method of the present invention, a geographic information system is used to construct a distribution map of all fire equipment within the city. Based on the distribution map, the city is divided into several sub-regions, wherein each sub-region contains at least one fire equipment. Activation timing sensors are deployed on the fire equipment to detect the usage information of the fire equipment, including start time data and end time data of the fire equipment in a single use.

[0008] 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.

[0009] As a preferred embodiment of the IoT-based fire equipment maintenance and management method of the present invention, the a-th sub-region is denoted as A. a Let the i-th fire-fighting equipment be denoted as XF. i Let A be the start time data of the i-th fire-fighting equipment in the a-th sub-region during its nth use. a (XF i，n Let A_st be the end time data of the i-th fire-fighting equipment in the a-th sub-region during its nth use. a (XF i，n )_en.

[0010] Based on start time data A a (XF i，n )_st and end time data A a (XF i，n )_en, calculate fire-fighting equipment XF i The working time in the nth use is calculated using the following formula: WH a，i，n =A a (XF i，n )_en-A a (XF i，n)_st, where WH a，i，n Subregion A a Firefighting equipment XF i The duration of operation during the nth use.

[0011] As a preferred embodiment of the IoT-based fire equipment maintenance management method of the present invention, a maintenance cycle is constructed on a weekly basis, and the maintenance process for each w maintenance cycle is as follows:

[0012] Let the wth maintenance cycle be denoted 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 protection equipment XF i During the maintenance cycle MC w The frequency of use within 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 uses within the maintenance cycle (MC) w The total number of times the start time data monitored by the internal timing sensor is used to determine this.

[0016] Calculate fire protection equipment XF i During the maintenance cycle MC w The average working time within the period is calculated using the following formula:

[0017]

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

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

[0020]

[0021] Among them, FR a，i (MC w ) indicates the maintenance cycle MC w Internal fire protection equipment XF i The failure rate, where α represents the preset humidity influence factor.

[0022] In this invention, fire-fighting equipment XF i During the maintenance cycle MC w Frequency of use F within w (XF i ) and fire-fighting equipment XF i During the maintenance cycle MC w Average working hours within Multiplication, that is Firefighting equipment XF can be obtained directly. i During the maintenance cycle MC w The longer the total working time, the better the fire protection equipment XF. i The higher the failure rate, (1+α×MH) w，a This corrects the impact of humidity on equipment failure; higher humidity makes electrical components and mechanical parts inside fire-fighting equipment more susceptible to damage.

[0023] Based on maintenance cycle MC w Internal fire protection equipment XF i Failure rate FR a，i (MC w ), calculate the maintenance cycle MC w Inner sub-area A a The overall failure rate is calculated using the following formula:

[0024]

[0025] Among them, CFR a (MC w ) indicates the maintenance cycle MC w Inner sub-area A a The overall failure rate, where I represents the sub-region A aThe total number of fire-fighting equipment in the facility, where β represents the pre-set failure rate of the fire-fighting equipment as an influencing factor.

[0026] In this invention, within each maintenance cycle, the failure rate of a single device is calculated based on the device's usage frequency, average operating time, and ambient humidity data. Furthermore, the overall failure rate of all devices within a sub-region is calculated. The overall failure rate is not limited to the level of a single fire-fighting device but reflects the operational health level of the entire sub-region, providing a basis for regional maintenance planning decisions. For example, areas with higher humidity may have a higher overall equipment failure rate and require enhanced maintenance. If the usage frequency and average operating time of fire-fighting equipment within a region are both high, enhanced maintenance is also required.

[0027] As a preferred embodiment of the IoT-based fire equipment maintenance management method described in this invention, based on the maintenance cycle MC w Inner sub-area A a Overall failure rate (CFR) a (MC w The overall average failure rate of a city is calculated using the following formula:

[0028]

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

[0030] A preset overall failure rate threshold τ is given, and,

[0031] If subregion A a Overall failure rate (CFR) a (MC w If ) > τ, then it is subregion A. a Set high priority during the maintenance cycle (MC). w Priority maintenance will be given to internal staff.

[0032] If subregion A a Overall failure rate This is subregion A. a In the settings priority, when the maintenance cycle MC w Maintenance should only be performed after all high-priority sub-regions within the area have been maintained.

[0033] If subregion A a Overall failure rate This is subregion A. a Set to low priority during the maintenance cycle (MC). w No maintenance is performed inside.

[0034] Let w = w + 1, and perform maintenance cycle MC. wIterative analysis was conducted to recalculate the comprehensive failure rate (CFR) of the sub-region. a (MC w And reset the priorities and carry out dynamic maintenance management of fire-fighting equipment.

[0035] In this invention, sub-regions are divided into high, medium, and low priorities based on the overall failure rate and a preset overall failure rate threshold, with high-priority regions prioritized for maintenance. The overall failure rate is recalculated after each maintenance cycle and dynamically adjusted to ensure continuous optimization of the management strategy. High-risk regions receive maintenance immediately, preventing critical equipment failures from impacting the overall fire protection system. Timely maintenance in high-priority regions ensures equipment remains in optimal condition, reducing fire hazards caused by equipment failures. The dynamic adjustment mechanism for medium-priority regions ensures fair and reasonable resource allocation. Low-priority regions have a very low probability of posing safety hazards during the current maintenance cycle and do not require maintenance, saving resources. Iterative analysis of the overall failure rate in each cycle not only improves real-time management capabilities but also allows for rapid adjustment of maintenance plans when equipment status changes. The dynamic priority setting ensures that the management plan always closely aligns with actual needs, avoiding resource waste or maintenance delays. Through dynamic adjustment, the maintenance strategy can be continuously optimized following changes in equipment status, reducing management blind spots and omissions.

[0036] This is an IoT-based fire equipment maintenance and management system. 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.

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

[0038] The equipment uses a data analysis module to calculate the working time of the fire-fighting equipment based on start time and end time data.

[0039] The maintenance cycle and failure rate calculation module: constructs the maintenance cycle, calculates the usage 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.

[0040] The dynamic maintenance priority management module calculates the city's overall average failure rate based on the overall failure rate of sub-regions; it presets an overall failure rate threshold, analyzes and assigns priorities to fire-fighting equipment, and designs maintenance management based on different priorities.

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

[0042] The equipment distribution map construction unit: uses a geographic information system to construct a distribution map of all fire-fighting equipment within the city. Based on the distribution map, the city is divided into several sub-regions, each containing at least one fire-fighting device. Activation timing sensors are deployed on the fire-fighting devices. These sensors are used to detect the usage information of the fire-fighting devices, including start and end time data for each 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 uses a data analysis module that includes a working time calculation unit.

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

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

[0047] The data statistics unit within the cycle: A maintenance cycle is constructed on a weekly basis, and the maintenance process for each maintenance cycle is as follows:

[0048] Obtain average humidity data for sub-areas within the maintenance cycle; calculate the usage frequency of fire-fighting equipment within the maintenance cycle; calculate the average operating time of fire-fighting equipment within the maintenance cycle.

[0049] The single-device failure rate calculation unit calculates the failure rate of the fire-fighting equipment based on the average humidity data of the sub-area during the maintenance cycle, the usage frequency of the fire-fighting equipment during the maintenance cycle, and the average working time of the fire-fighting equipment during the maintenance cycle.

[0050] The comprehensive failure rate analysis unit calculates the comprehensive failure rate of the sub-area within the maintenance cycle based on the failure rate of the fire protection equipment within the maintenance cycle.

[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 city's overall average failure rate based on the comprehensive failure rate of the sub-regions within the maintenance cycle.

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

[0054] If the overall failure rate of a sub-region is greater than the overall failure rate threshold, then the sub-region is given high priority and priority maintenance is performed during the maintenance cycle.

[0055] If the overall failure rate of a sub-region is greater than the city's overall average failure rate but less than the overall failure rate threshold, then the sub-region is set to medium priority. Maintenance will only be carried out after all high-priority sub-regions within the maintenance cycle have been maintained.

[0056] If the overall failure rate of a sub-region is lower than the overall average failure rate of the city, then the sub-region is given a low priority and will not be maintained during the maintenance cycle.

[0057] The dynamic adjustment unit performs iterative analysis of the maintenance cycle, recalculates the overall failure rate of the sub-area, and resets the priorities to dynamically manage the maintenance of fire-fighting equipment.

[0058] Compared with existing technologies, the beneficial effects achieved by this invention are as follows: The fire equipment maintenance management system and method based on the Internet of Things provided by this invention constructs a fire equipment distribution map through a geographic information system and collects equipment usage information and environmental humidity data using activation timing sensors and environmental sensors, providing basic data for subsequent failure rate calculations. Secondly, it calculates the working time, usage frequency, average working time, and failure rate of fire equipment, and further calculates the comprehensive failure rate of sub-regions and cities, forming a scientific maintenance cycle management scheme. By setting priorities for each sub-region, high-priority sub-regions are prioritized for maintenance, ensuring that high-risk areas receive timely maintenance and avoiding systemic risks caused by equipment failures. Simultaneously, through dynamic adjustments in each maintenance cycle, maintenance strategies are optimized in real time, improving the reliability of fire equipment and reducing resource waste. Ultimately, it achieves refined and intelligent management of fire equipment, not only improving equipment maintenance efficiency but also ensuring the safety and reliability of the fire protection system. Attached Figure Description

[0059] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof.

[0060] Figure 1 This is a schematic diagram illustrating the steps of the fire equipment maintenance and management method based on the Internet of Things according to the present invention;

[0061] Figure 2 This is a schematic diagram of the structure of the fire equipment maintenance and management system based on the Internet of Things of this invention. Detailed Implementation

[0062] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0063] Please see Figure 1 In this first embodiment: a method for maintaining and managing fire-fighting equipment based on the Internet of Things is provided, which includes the following steps:

[0064] Step S1: Construct a distribution map of fire-fighting equipment in the city based on a geographic information system and divide it into sub-regions; use sensors to monitor the start time, end time, and ambient humidity data of fire-fighting equipment during use.

[0065] Specifically, a geographic information system is used to construct a distribution map of all fire-fighting equipment within the city. Based on the distribution map, the city is divided into several sub-regions, each containing at least one fire-fighting device. Activation timing sensors are deployed on the fire-fighting devices to detect their usage information, which includes start and end time data for each use.

[0066] Furthermore, 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.

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

[0068] Specifically, let the a-th sub-region be denoted as A. a Let the i-th fire-fighting equipment be denoted as XF. i Let A be the start time data of the i-th fire-fighting equipment in the a-th sub-region during its nth use. a (XF i，n Let A_st be the end time data of the i-th fire-fighting equipment in the a-th sub-region during its nth use. a (XF i，n )_en.

[0069] Furthermore, based on start time data A a (XF i，n )_st and end time data A a (XF i，n )_en, calculate fire-fighting equipment XF i The working time in the nth use is calculated using the following formula: WHa，i，n =A a (XF i，n )_en-A a (XF i，n )_st, where WH a，i，n Subregion A a Firefighting equipment XF i The duration of operation during the nth use.

[0070] For example, suppose the start time data of fire-fighting equipment XF1 in sub-area A1 during its first use is A1(XF 1，1 The end time data for the first use of fire-fighting equipment XF1 in sub-area A1 is 9:00. 1，1 )_en is 10:00. Substituting this into the formula, we obtain the working time WH of fire-fighting equipment XF1 during its first use. 1，1，1 =1, meaning the working time WH of fire-fighting equipment XF1 during its first use. 1，1，1 It lasts 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, maintenance cycles are established on a weekly basis, and the maintenance process for each w-cycle is as follows:

[0073] Let the wth maintenance cycle be denoted 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 protection equipment XF i During the maintenance cycle MC w The frequency of use within 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 uses within the maintenance cycle (MC) w The total number of times the start time data monitored by the internal timing sensor is used to determine this.

[0077] For example, assuming that fire equipment XF1 is used a total of 6 times within maintenance cycle MC1, substituting this into the formula yields the usage frequency of fire equipment XF1 within maintenance cycle MC1. That is, the usage frequency F1(XF1) of fire-fighting equipment XF1 within the maintenance cycle MC1 is 0.86 times / day.

[0078] Calculate fire protection equipment XF i During the maintenance cycle MC w The average working time within the period is calculated using the following formula:

[0079]

[0080] in, XF indicates fire-fighting equipment i During the maintenance cycle MC w Average working hours within |MC w | Indicates the maintenance cycle MC w 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, substituting into the formula, we obtain the average working time of fire-fighting equipment XF1 within the maintenance cycle MC1. That is, the average working time of fire-fighting equipment XF1 within the maintenance cycle 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 Firefighting equipment XF i During the maintenance cycle MC w Frequency of use F within w (XF i ) and fire-fighting equipment XF i During the maintenance cycle MC w Average working hours within Calculate fire protection equipment XF i The failure rate is calculated using the following formula:

[0083]

[0084] Among them, FR a，i (MC w ) indicates the maintenance cycle MCw Internal fire protection equipment XF i The failure rate, where α represents the preset humidity influence factor.

[0085] For example, assuming the preset humidity influence factor α is 0.1, the average humidity data MH of sub-region A1 within maintenance cycle MC1... 1，1 The value is 75. Substituting this value into the formula, the failure rate FR of fire-fighting equipment XF1 is calculated. 1，1 (MC1)=0.86×0.87×(1+0.1*75)=6.36.

[0086] Furthermore, based on the maintenance cycle MC w Internal fire protection equipment XF i Failure rate FR a，i (MC w ), calculate the maintenance cycle MC w Inner sub-area A a The overall failure rate is calculated using the following formula:

[0087]

[0088] Among them, CFR a (MC w ) indicates the maintenance cycle MC w Inner sub-area A a The overall failure rate, where I represents the sub-region A a The total number of fire-fighting equipment in the facility, where β represents the pre-set failure rate of the fire-fighting equipment as an influencing factor.

[0089] For example, assuming the total number of fire-fighting equipment I in sub-region A1 is 3, and the failure rate impact factor β of the fire-fighting equipment is 0.9, FR 1，2 (MC1) = 6.01, FR 1，2 (MC1) = 5.86, FR 1，1 (MC1) = 6.36. Substituting this into the formula, we can calculate the overall failure rate of sub-region A1 within the maintenance cycle MC1.

[0090] Step S4: Calculate the city's overall average failure rate based on the overall failure rate of the sub-regions; preset the overall 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 Overall failure rate (CFR) a (MC w The overall average failure rate of a city is calculated using the following formula:

[0092]

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

[0094] A preset overall failure rate threshold τ is given, and,

[0095] If subregion A a Overall failure rate (CFR) a (MC w If ) > τ, then it is subregion A. a Set high priority during the maintenance cycle (MC). w Priority maintenance will be given to internal staff.

[0096] If subregion A a Overall failure rate This is subregion A. a In the settings priority, when the maintenance cycle MC w Maintenance should only be performed after all high-priority sub-regions within the area have been maintained.

[0097] If subregion A a Overall failure rate This is subregion A. a Set to low priority during the maintenance cycle (MC). w No maintenance is performed inside.

[0098] Furthermore, let w = w + 1, and perform maintenance cycle MC. w Iterative analysis was conducted to recalculate the comprehensive failure rate (CFR) of the sub-region. a (MC w And reset the priorities and carry out dynamic maintenance management of fire-fighting equipment.

[0099] For example, assuming the total number of subregions 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, substituting these values ​​into the formula yields the city's overall average failure rate. Assuming the overall failure rate threshold τ is 5.5, then CFR4(MC1) = 6.469 > 5.5 and CFR8(MC1) = 6.5 > 5.5. Therefore, sub-regions A4 and A8 are given high priority and will be prioritized for maintenance within the maintenance cycle MC1. Then, 5.3242 < CFR2(MC1) = 5.5 ≤ 5.5, 5.3242 < CFR5(MC1) = 5.409 ≤ 5.5, and 5.3242 < CFR1(MC1) = 5.469 ≤ 5.5. 5. Then, a medium priority is set for sub-regions A2, A5, and A1. Maintenance will only be performed after the high-priority sub-regions (A4 and A8) within maintenance cycle MC1 have all been maintained. Therefore, 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 If (MC1) = 5.126 < 5.3242, then the subregions are A3, A6, A7, A9, and A1. 10 Set a low priority and do not perform maintenance within the maintenance cycle MC1.

[0100] Please see Figure 2 In this second embodiment: an Internet of Things-based fire equipment maintenance management system 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 equipment distribution and monitoring module: constructs a map of the distribution of fire equipment in the city based on a geographic information system and divides it into sub-regions; and uses sensors to monitor the start time data, end time data, and environmental humidity data of the fire equipment during use.

[0102] The equipment uses a data analysis module to calculate the working time of the fire-fighting equipment based on start time and end time data.

[0103] The maintenance cycle and failure rate calculation module: constructs the maintenance cycle, calculates the usage 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.

[0104] The dynamic maintenance priority management module calculates the city's overall average failure rate based on the overall failure rate of sub-regions; it presets an overall failure rate threshold, analyzes and assigns priorities to fire-fighting equipment, and designs maintenance management based on different priorities.

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

[0106] The equipment distribution map construction unit: uses a geographic information system to construct a distribution map of all fire-fighting equipment within the city. Based on the distribution map, the city is divided into several sub-regions, each containing at least one fire-fighting device. Activation timing sensors are deployed on the fire-fighting devices. These sensors are used to detect the usage information of the fire-fighting devices, including start and end time data for each 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 uses a data analysis module that includes a working time calculation unit.

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

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

[0111] The data statistics unit within the cycle: A maintenance cycle is constructed on a weekly basis, and the maintenance process for each maintenance cycle is as follows:

[0112] Obtain average humidity data for sub-areas within the maintenance cycle; calculate the usage frequency of fire-fighting equipment within the maintenance cycle; calculate the average operating time of fire-fighting equipment within the maintenance cycle.

[0113] The single-device failure rate calculation unit calculates the failure rate of the fire-fighting equipment based on the average humidity data of the sub-area during the maintenance cycle, the usage frequency of the fire-fighting equipment during the maintenance cycle, and the average working time of the fire-fighting equipment during the maintenance cycle.

[0114] The comprehensive failure rate analysis unit calculates the comprehensive failure rate of the sub-area within the maintenance cycle based on the failure rate of the fire protection equipment within the maintenance cycle.

[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 city's overall average failure rate based on the comprehensive failure rate of the sub-regions within the maintenance cycle.

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

[0118] If the overall failure rate of a sub-region is greater than the overall failure rate threshold, then the sub-region is given high priority and priority maintenance is performed during the maintenance cycle.

[0119] If the overall failure rate of a sub-region is greater than the city's overall average failure rate but less than the overall failure rate threshold, then the sub-region is set to medium priority. Maintenance will only be carried out after all high-priority sub-regions within the maintenance cycle have been maintained.

[0120] If the overall failure rate of a sub-region is lower than the overall average failure rate of the city, then the sub-region is given a low priority and will not be maintained during the maintenance cycle.

[0121] The dynamic adjustment unit performs iterative analysis of the maintenance cycle, recalculates the overall failure rate of the sub-area, and resets the priorities to dynamically manage the maintenance of fire-fighting equipment.

[0122] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0123] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. 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 fire equipment maintenance and management method based on the Internet of Things, characterized in that, The method includes the following steps: Step S1: Construct a distribution map of fire-fighting equipment in the city based on a geographic information system and divide it into sub-regions; use sensors to monitor the start time, end time, and ambient humidity data of fire-fighting equipment during use; Step S2: Based on the start time and end time data, calculate the working time of the fire-fighting equipment during use; 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: Calculate the city's overall average failure rate based on the overall failure rate of the sub-regions; preset the overall failure rate threshold, analyze and assign priorities to fire-fighting equipment, and design maintenance management according to different priorities; The specific implementation process of step S2 includes: Let the a-th sub-region be denoted as A. a Let the i-th fire-fighting equipment be denoted as XF. i Let A be the start time data of the i-th fire-fighting equipment in the a-th sub-region during its nth use. a (XF i,n Let A_st be the end time data of the i-th fire-fighting equipment in the a-th sub-region during its nth use. a (XF i,n )_en; Based on start time data A a (XF i,n )_st and end time data A a (XF i,n )_en, calculate fire-fighting equipment XF i The working time in the nth use is calculated using the following formula: WH a,i,n =A a (XF i,n )_en-A a (XF i,n )_st, where WH a,i,n Subregion A a Firefighting equipment XF i The duration of operation during the nth use; The specific implementation process of step S3 includes: Maintenance cycles are established on a weekly basis. The maintenance process for each w-cycle is as follows: Let the wth maintenance cycle be denoted 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 protection equipment XF i During the maintenance cycle MC w The frequency of use within 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 uses within; Calculate fire protection equipment XF i During the maintenance cycle MC w The average working time within the period is calculated using the following formula: in, XF indicates fire-fighting equipment i During the maintenance cycle MC w Average working hours within |MC w | Indicates the 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 Firefighting equipment XF i During the maintenance cycle MC w Frequency of use F within w (XF i ) and fire-fighting equipment XF i During the maintenance cycle MC w Average working hours Calculate fire protection equipment XF i The failure rate is calculated using the following formula: Among them, FR a,i (MC w ) indicates the maintenance cycle MC w Internal fire protection equipment XF i The failure rate, where α represents the preset humidity influence factor; Based on maintenance cycle MC w Internal fire protection equipment XF i Failure rate FR a,i (MC w ), calculate the maintenance cycle MC w Inner sub-area A a The overall failure rate is calculated using the following formula: Among them, CFR a (MC w ) indicates the maintenance cycle MC w Inner sub-area A a The overall failure rate, where I represents the sub-region A a The total number of fire-fighting equipment in the facility, where β represents the pre-set failure rate factor of the fire-fighting equipment; The specific implementation process of step S4 includes: Based on maintenance cycle MC w Inner sub-area A a Overall failure rate (CGR) a (MC w The overall average failure rate of a city is calculated using the following formula: in, This represents the city's overall average failure rate, and A represents the total number of sub-regions. A preset overall failure rate threshold τ is given, and, If subregion A a Overall failure rate (CFR) a (MC w If )>τ, then it is a subregion A. a Set high priority during the maintenance cycle (MC). w Priority maintenance will be given to internal personnel. If subregion A a Overall failure rate This is subregion A. a In the settings priority, when the maintenance cycle MC w Maintenance should only be performed after all high-priority sub-areas within the area have been maintained. If subregion A a Overall failure rate This is subregion A. a Set to low priority during the maintenance cycle (MC). w No maintenance is performed inside; Let w = w + 1, and perform maintenance cycle MC. w Iterative analysis was conducted to recalculate the comprehensive failure rate (CFR) of the sub-region. a (MC w And reset the priorities and carry out dynamic maintenance management of fire-fighting equipment.

2. The fire equipment maintenance and management method based on the Internet of Things according to claim 1, characterized in that, The specific implementation process of step S1 includes: Using a geographic information system, a distribution map of all fire-fighting equipment within the city is constructed. Based on the distribution map, the city is divided into several sub-regions, each containing at least one fire-fighting device. Activation timing sensors are deployed on the fire-fighting devices to detect their usage information, which includes start and end time data for each use. 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.

3. A fire equipment maintenance and management system based on the Internet of Things (IoT), executing the fire equipment maintenance and management method based on the IoT as described in any one of claims 1-2, 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 distribution map of fire equipment in the city based on a geographic information system and divides it into sub-regions; uses sensors to monitor the start time data, end time data, and environmental humidity data of fire equipment during use; The equipment uses a data analysis module to calculate the working time of the fire-fighting equipment based on start time and end time data. The maintenance cycle and failure rate calculation module: constructs the maintenance cycle, calculates the usage 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 city's overall average failure rate based on the overall failure rate of sub-regions; it presets an overall failure rate threshold, analyzes and assigns priorities to fire-fighting equipment, and designs maintenance management based on different priorities.

4. The fire equipment maintenance and management system based on the Internet of Things according to claim 3, characterized in that: 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 fire-fighting equipment within the city; based on the distribution map, the city is divided into several sub-regions in a grid pattern, wherein each sub-region contains at least one fire-fighting device; and deploys activation timing sensors on the fire-fighting devices, the activation timing sensors being used to detect the usage information of the fire-fighting devices, the usage information including the start time data and end time data of the fire-fighting devices 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.

5. The fire equipment maintenance and management system based on the Internet of Things according to claim 4, characterized in that: The device uses a data analysis module that includes a working time calculation unit; The working time calculation unit calculates the working time of the fire-fighting equipment during use based on the start time data and the end time data.

6. The fire equipment maintenance and management system based on the Internet of Things according to claim 5, characterized in that: The maintenance cycle and failure rate calculation module includes a data statistics unit within the cycle, a single equipment failure rate calculation unit, and a comprehensive failure rate analysis unit. The data statistics unit within the cycle: A maintenance cycle is constructed on a weekly basis, and the maintenance process for each maintenance cycle is as follows: Obtain average humidity data for sub-areas within the maintenance cycle; calculate the usage frequency of fire-fighting equipment within the maintenance cycle; calculate the average operating time of fire-fighting equipment within the maintenance cycle; The single-device failure rate calculation unit calculates the failure rate of the fire-fighting equipment based on the average humidity data of the sub-area during the maintenance cycle, the usage frequency of the fire-fighting equipment during the maintenance cycle, and the average working time of the fire-fighting equipment during the maintenance cycle. The comprehensive failure rate analysis unit calculates the comprehensive failure rate of the sub-area within the maintenance cycle based on the failure rate of the fire protection equipment within the maintenance cycle.

7. The fire equipment maintenance and management system based on the Internet of Things according to claim 6, 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 city's overall average failure rate based on the comprehensive failure rate of the sub-region within the maintenance cycle. A preset comprehensive failure rate threshold is set, and the comprehensive failure rate threshold is greater than the city's comprehensive average failure rate. If the overall failure rate of a sub-region is greater than the overall failure rate threshold, then the sub-region is given high priority and priority maintenance is performed during the maintenance cycle. If the overall failure rate of a sub-region is greater than the city's overall average failure rate but less than the overall failure rate threshold, then the sub-region is set to medium priority. Maintenance will only be carried out after all high-priority sub-regions within the maintenance cycle have been maintained. If the overall failure rate of a sub-region is less than the overall average failure rate of the city, then the sub-region is given a low priority and will not be maintained during the maintenance cycle. The dynamic adjustment unit performs iterative analysis of the maintenance cycle, recalculates the overall failure rate of the sub-area, and resets the priorities to dynamically manage the maintenance of fire-fighting equipment.

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