Elevator operation and maintenance management method and system considering Internet of Things monitoring equipment

Abstract

The invention provides an elevator operation and maintenance management method and system considering Internet of Things monitoring equipment, and belongs to the technical field of operation and maintenance management.The elevator operation and maintenance management system specifically comprises a data monitoring module, a use data obtaining module and an operation and maintenance strategy determining module, the monitoring data acquisition module is responsible for acquiring monitoring data under different bearing capacities, the use data acquisition module is responsible for acquiring use data of all elevators in a building where the elevator is located, and the operation and maintenance strategy determination module is responsible for determining an operation and maintenance processing strategy of the elevator by using the monitoring data and the use data, so that the operation reliability of the elevator is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of operation and maintenance management, and particularly relates to an elevator operation and maintenance management method and system considering Internet of Things monitoring devices. Background Art

[0002] In order to achieve the operation and maintenance management of elevators, in the existing technical solutions, the combination of Internet of Things devices and big data analysis is used to supervise the process information of elevator maintenance, perform big data analysis on elevator operation data, give early warning prompts for elevator maintenance, and improve the quality of maintenance.

[0003] Specifically, the invention patent application CN202010901273.9 "An Elevator Maintenance Supervision System" gives a similar technical solution, but the existing technical solutions do not consider the elevator distribution data in the building. If the differential operation and maintenance management strategy cannot be determined according to the distribution quantity of the elevators in the building and the monitoring data of different elevators, the reliability of the operation and maintenance processing cannot be guaranteed.

[0004] To solve the above technical problems, specifically, the present application provides an elevator operation and maintenance management method and system considering Internet of Things monitoring devices. Summary of the Invention

[0005] To achieve the object of the present invention, the present invention adopts the following technical solutions: In the first aspect, the present application provides an elevator operation and maintenance management method considering Internet of Things monitoring devices, specifically including: S1 Based on the analysis result of the monitoring data of the Internet of Things monitoring device of the elevator, determine the monitoring data of the elevator under different load capacities. When the deviation situation of the monitoring data under different load capacities is used to determine that the operation risk of the elevator is within the preset risk range, all the elevators inside the building where the elevator is located are used as the target monitoring elevators; S2 According to the simultaneous use data of the target monitoring elevators, determine the simultaneous use data of the target monitoring elevators in different time periods, and determine the frequently used time periods in different dates based on the simultaneous use data of the target monitoring elevators; S3 Based on the distribution data of the frequently used time periods in different dates, when it is determined that the elevator does not require operation and maintenance processing, determine whether the elevator requires operation and maintenance processing based on the use data of the elevator under different load capacities and the deviation situation of the monitoring data.

[0006] A further technical solution lies in that the load capacity is determined based on the analysis result of the monitoring data of the weight monitoring device.

[0007] A further technical solution lies in that the deviation situation of the monitoring data is determined according to the deviation amount between the current monitoring data and the preset monitored amount.

[0008] A further technical solution lies in that the deviation situation of the monitoring data includes the number of monitoring times when the deviation amount does not meet the requirements and the corresponding deviation amount.

[0009] A further technical solution lies in determining whether the elevator needs to be maintained or repaired, specifically including: Based on the usage data of the elevator under different load capacities, determine the proportion of the usage duration of the elevator in different load capacity intervals, and use the proportion of the usage duration in different load capacity intervals to determine the weight coefficient of different load capacity intervals; Based on the deviation situation of the monitoring data under different load capacities, determine the distribution data of the current monitoring data in different load capacity intervals, and combine the preset monitoring amounts corresponding to different load capacity intervals to determine the number of deviation monitoring times when the current monitoring data is greater than the preset monitoring amount, and determine the preset risk coefficient corresponding to different load capacity intervals based on the number of deviation monitoring times; Determine the elevator risk coefficient based on the sum of the products of the weight coefficients and the preset risk coefficients of different load capacity intervals, and use the elevator risk coefficient to determine whether the elevator needs to be maintained or repaired.

[0010] A further technical solution lies in that when the elevator risk coefficient is greater than the risk coefficient limit value, it is determined that the elevator needs to be maintained or repaired.

[0011] In a second aspect, the present invention provides an elevator operation and maintenance management system considering Internet of Things monitoring devices, applying the above-mentioned elevator operation and maintenance management method considering Internet of Things monitoring devices, specifically including: A data monitoring module, a usage data acquisition module, and an operation and maintenance strategy determination module; Among them, the data monitoring module is responsible for using Internet of Things monitoring devices to acquire monitoring data under different load capacities; The usage data acquisition module is responsible for acquiring the usage data of all elevators inside the building where the elevator is located; The operation and maintenance strategy determination module is responsible for using the monitoring data and the usage data to determine the operation and maintenance treatment strategy of the elevator.

[0012] A further technical solution lies in that the Internet of Things monitoring devices include a weight monitoring device and a current monitoring device.

[0013] A further technical solution lies in that the monitoring data includes current monitoring data.

[0014] The beneficial effects of the present invention are as follows: In this embodiment, an Internet of Things monitoring device is used to obtain monitoring data under different load capacities, thereby realizing real-time monitoring of the deviation of monitoring data under different load capacities, and further realizing real-time monitoring of the abnormal operation of the elevator, ensuring the safety of the elevator operation.

[0015] In this embodiment, by using the monitoring data and the usage data of all the elevators in the building where the elevator is located, the operation and maintenance processing strategy of the elevator is determined. Not only the abnormal situation of the elevator monitoring data is considered, but also the usage data of all the elevators in the building is comprehensively considered, and the impact on the users in the building when the elevator breaks down is fully considered. The operation and maintenance processing strategy is determined from multiple perspectives, ensuring the reliability of the elevator operation and maintenance processing.

[0016] Other features and advantages will be described in the subsequent specification. The objectives and other advantages of the present invention are achieved and obtained by the structures specifically pointed out in the specification and the drawings.

[0017] To make the above objectives, features, and advantages of the present invention more obvious and understandable, the following specifically enumerates preferred embodiments and, in conjunction with the accompanying drawings, provides a detailed description as follows. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] By referring to the accompanying drawings and describing its exemplary embodiments in detail, the above and other features and advantages of the present invention will become more obvious.

[0019] Figure 1 is a framework diagram of an elevator operation and maintenance management system considering an Internet of Things monitoring device; Figure 2 is a flowchart of an elevator operation and maintenance management method considering an Internet of Things monitoring device; Figure 3 is a flowchart for determining that the operation risk of the elevator is within a preset risk range; Figure 4 is a flowchart of a method for determining peak usage periods; Figure 5 is a flowchart for determining whether the elevator needs to be maintained; DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] In order to enable those skilled in the art to better understand the technical solutions in this specification, the following will clearly and completely describe the technical solutions in the embodiments of this specification in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of this specification, rather than all the embodiments. Based on the embodiments of this specification, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of this specification.

[0021] Embodiment 1 To solve the above problems, according to one aspect of the present invention, as Figure 1 shown, the present invention proposes an elevator operation and maintenance management system considering Internet of Things monitoring devices, applying the above-mentioned elevator operation and maintenance management method considering Internet of Things monitoring devices, specifically including: A data monitoring module, a data acquisition module, and an operation and maintenance strategy determination module; Among them, the data monitoring module is responsible for using Internet of Things monitoring devices to obtain monitoring data under different load capacities; Furthermore, the Internet of Things monitoring devices include a weight monitoring device and a current monitoring device.

[0022] Specifically, the monitoring data includes current monitoring data.

[0023] The data acquisition module is responsible for obtaining the usage data of all elevators inside the building where the elevator is located; The operation and maintenance strategy determination module is responsible for using the monitoring data and usage data to determine the operation and maintenance processing strategy of the elevator.

[0024] It should be noted that using the monitoring data and usage data to determine the operation and maintenance processing strategy of the elevator specifically includes: Based on the monitoring data, determine the current monitoring data of the elevator, and use the deviation between the current monitoring data and the preset monitored quantity to determine the current deviation; Based on the current deviation and the usage data of all elevators inside the building where the elevator is located, determine the matching operation and maintenance processing strategy under the current deviation and usage data.

[0025] Furthermore, the matching operation and maintenance processing strategy includes no need for operation and maintenance processing and the need for operation and maintenance processing.

[0026] Embodiment 2 Second aspect, as Figure 2 shown, the present application provides an elevator operation and maintenance management method considering Internet of Things monitoring devices, specifically including: S1 Based on the analysis result of the monitoring data of the Internet of Things monitoring devices of the elevator, determine the monitoring data of the elevator under different load capacities. When it is determined that the operation risk of the elevator is within the preset risk range based on the deviation of the monitoring data under different load capacities, all elevators inside the building where the elevator is located are used as target monitoring elevators; It should be noted that the deviation monitoring times when the current monitoring data is greater than the preset monitoring amount are determined according to the distribution data of the current monitoring data in different load capacity intervals and the preset monitoring amount corresponding to the load capacity interval. Based on the ratio of the total deviation monitoring times in different load capacity intervals to the preset monitoring times, the operation risk coefficient of the elevator is determined. When the operation risk coefficient is greater than 0.6, it is determined that the operation risk of the elevator is not within the preset risk interval.

[0027] S2 According to the simultaneous use data of the target monitored elevator, determine the simultaneous use data of the target monitored elevator in different time periods, and determine the frequently used time periods in different dates based on the simultaneous use data of the target monitored elevator. Specifically, determine the simultaneous use time period of the target monitored elevator in the time period based on the simultaneous use data of the target monitored elevator in different time periods of the date. According to the duration of different simultaneous use time periods and the number of simultaneous use time periods, determine the sum of the durations of the simultaneous use time periods in the time period, and accumulate its cumulative duration. When the proportion of the cumulative duration is greater than 0.3, it is determined that the time period is a frequently used time period.

[0028] S3 Based on the distribution data of the frequently used time periods in different dates, when it is determined that the elevator does not require operation and maintenance processing, determine whether the elevator requires operation and maintenance processing based on the use data and the deviation situation of the monitoring data of the elevator under different load capacities.

[0029] It can be understood that the weight coefficient of different load capacity intervals is determined by using the proportion of the use duration in different load capacity intervals. Based on the deviation monitoring times in different load capacity intervals, the preset risk coefficient corresponding to different load capacity intervals is determined. Based on the sum of the products of the weight coefficients and the preset risk coefficients in different load capacity intervals, the elevator risk coefficient is determined. When the elevator risk coefficient is greater than 0.6, it is determined that the elevator requires operation and maintenance processing.

[0030] Furthermore, the load capacity is determined according to the analysis result of the monitoring data of the weight monitoring device.

[0031] It should be noted that the deviation situation of the monitoring data is determined according to the deviation amount between the current monitoring data and the preset monitoring amount.

[0032] It can be understood that the deviation situation of the monitoring data includes the monitoring times when the deviation amount does not meet the requirements and the corresponding deviation amount.

[0033] Specifically, as Figure 3 shown, determining that the operation risk of the elevator is within the preset risk interval specifically includes: Determine the distribution data of the current monitoring data within different load capacity intervals based on the deviation conditions of the monitoring data under different load capacities; Determine the number of deviation monitoring times when the current monitoring data is greater than the preset monitoring amount according to the distribution data of the current monitoring data within different load capacity intervals and the preset monitoring amount corresponding to the load capacity interval; Determine the total number of deviation monitoring times based on the number of deviation monitoring times within different load capacity intervals, and use the total number of deviation monitoring times to determine the operation risk coefficient of the elevator. Determine whether the operation risk of the elevator is within the preset risk interval according to the operation risk coefficient.

[0034] Further, the operation risk coefficient of the elevator is determined according to the preset risk coefficient corresponding to the total number of deviation monitoring times.

[0035] It can be understood that when the operation risk coefficient is within the preset risk coefficient interval, it is determined that the operation risk of the elevator is within the preset risk interval.

[0036] Specifically, when the operation risk of the elevator is not within the preset risk interval, determine whether the operation risk coefficient of the elevator is greater than the preset risk coefficient threshold. If so, it is determined that the elevator needs to be maintained and operated. If not, it is determined that the elevator does not need to be maintained and operated.

[0037] In another embodiment, determining that the operation risk of the elevator is within the preset risk interval specifically includes: Determine the distribution data of the current monitoring data within different load capacity intervals based on the deviation conditions of the monitoring data under different load capacities; Determine the number of deviation monitoring times when the current monitoring data is greater than the preset monitoring amount according to the distribution data of the current monitoring data within different load capacity intervals and the preset monitoring amount corresponding to the load capacity interval. Based on the number of deviation monitoring times within different load capacity intervals, determine the ratio of the number of deviation monitoring times within different load capacity intervals to the preset number of monitoring times, and use it as the deviation times ratio; Determine the operation risk coefficient of the elevator according to the maximum value of the deviation times proportion within different load capacity intervals, and determine whether the operation risk of the elevator is within the preset risk interval according to the operation risk coefficient.

[0038] In another embodiment, determining that the operation risk of the elevator is within the preset risk interval specifically includes: S11 Determine the distribution data of the current monitoring data within different load capacity intervals based on the deviation conditions of the monitoring data at different load capacities. Determine the number of deviation monitoring times when the current monitoring data is greater than the preset monitoring amount according to the distribution data of the current monitoring data within different load capacity intervals and the preset monitoring amount corresponding to the load capacity interval. Optionally, the above step S11 includes the following content: S111 Determine the distribution data of the current monitoring data within different load capacity intervals based on the deviation conditions of the monitoring data at different load capacities. Determine the number of deviation monitoring times when the current monitoring data is greater than the preset monitoring amount according to the distribution data of the current monitoring data within different load capacity intervals and the preset monitoring amount corresponding to the load capacity interval. S112 When the sum of the number of deviation monitoring times in different load capacity intervals does not meet the requirements, it is determined that the elevator needs to be maintained and operated. When the sum of the number of deviation monitoring times in different load capacity intervals meets the requirements, proceed to step S113. S113 When the number of deviation monitoring times in different load capacity intervals is less than the preset number threshold, proceed to step S114. When there is a load capacity interval with the number of deviation monitoring times not less than the preset number threshold, proceed to step S115. S114 When the number of load capacity intervals with the number of deviation monitoring times is less than the preset interval number, it is determined that the elevator does not need to be maintained and operated. When the number of load capacity intervals with the number of deviation monitoring times is not less than the preset interval number, proceed to step S12. S115 When the number of load capacity intervals with the number of deviation monitoring times not less than the preset number threshold is greater than the preset load capacity interval number, it is determined that the elevator needs to be maintained and operated. When the number of load capacity intervals with the number of deviation monitoring times not less than the preset number threshold is not greater than the preset load capacity interval number, proceed to step S12.

[0039] S12 Use the load capacity intervals with the number of deviation monitoring times as deviation intervals. Determine the interval risk coefficients within different deviation intervals according to the number of deviation monitoring times within different deviation intervals, the deviation amount between the current monitoring data with different deviation monitoring times and the preset monitoring amount, and the corresponding monitoring moments. Optionally, the above step S12 includes the following content: S121 Determine the interval risk coefficients within different deviation intervals according to the number of deviation monitoring times within different deviation intervals, the deviation amount between the current monitoring data with different deviation monitoring times and the preset monitoring amount, and the corresponding monitoring moments. When the interval risk coefficients within different deviation intervals are all within the preset risk coefficient interval, proceed to step S122. When there is a deviation interval with the interval risk coefficient not within the preset risk coefficient interval, proceed to step S123. S122 uses the carrying capacity interval of the deviation monitoring times as the deviation interval. When the number of deviation intervals is greater than the preset number of deviation intervals, it proceeds to step S13. When the number of deviation intervals is not greater than the preset number of deviation intervals, it is determined that the elevator does not require operation and maintenance processing. S123 uses the deviation intervals whose interval risk coefficients are not within the preset risk coefficient interval as deviation risk intervals. When the number of deviation risk intervals does not meet the requirements, it is determined that the elevator needs operation and maintenance processing. When the number of deviation risk intervals meets the requirements, it proceeds to step S13.

[0040] S13 determines the operation risk coefficient of the elevator based on the interval risk coefficients within different deviation intervals, and determines whether the operation risk of the elevator is within the preset risk interval according to the operation risk coefficient.

[0041] Furthermore, the simultaneous usage data of the target monitored elevator includes the number of simultaneous usage time periods of the target monitored elevator and the duration of different simultaneous usage time periods.

[0042] Specifically, as Figure 4 shown, the method for determining the frequently used time period is as follows: Based on the simultaneous usage data of the target monitored elevator at different time periods in the date, determine the number of simultaneous usage time periods of the target monitored elevator in the time period. According to the duration of different simultaneous usage time periods and the number of simultaneous usage time periods, determine the sum of the durations of the simultaneous usage time periods in the time period, and accumulate the cumulative duration. Based on the cumulative duration, determine whether the time period is a frequently used time period.

[0043] Furthermore, when the cumulative duration of the time period is greater than the preset duration threshold, it is determined that the time period is a frequently used time period.

[0044] It can be understood that the simultaneous usage time period is the time period when the target monitored elevators are used simultaneously.

[0045] In another embodiment, the method for determining the frequently used time period is as follows: Based on the simultaneous usage data of the target monitored elevator at different time periods in the date, determine the number of simultaneous usage time periods of the target monitored elevator in the time period. Determine the simultaneous usage time periods with a duration greater than the preset duration according to the duration of different simultaneous usage time periods, and use them as the continuously used time periods. Based on the sum of the durations of different continuously used time periods, determine whether the time period is a frequently used time period.

[0046] Further, when the sum of the durations is greater than a preset duration threshold, it is determined that the time period is a frequently used time period.

[0047] In another embodiment, the method for determining the frequently used time period is as follows: Based on the simultaneous usage data of the target monitored elevators in different time periods of the date, determine the cumulative duration of simultaneous usage in the time period. When the cumulative duration of simultaneous usage in the time period is greater than the cumulative duration set value, it is determined that the time period belongs to the frequently used time period; When the cumulative duration of simultaneous usage in the time period is not greater than the cumulative duration set value: When the cumulative duration of simultaneous usage in the time period is within a preset duration range: It is determined that the time period does not belong to the frequently used time period; When the cumulative duration of simultaneous usage in the time period is not within the preset duration range: Based on the simultaneous usage data of the target monitored elevators in different time periods of the date, determine the number of simultaneous usage time periods of the target monitored elevators in the time period. When the number of simultaneous usage time periods of the target monitored elevators in the time period is greater than the preset number of usage time periods, it is determined that the time period belongs to the frequently used time period; When the number of simultaneous usage time periods of the target monitored elevators in the time period is not greater than the preset number of usage time periods: Based on the durations of different simultaneous usage time periods, when it is determined that there is no simultaneous usage time period with a duration greater than the preset duration, it is determined that the time period does not belong to the frequently used time period; When there is a simultaneous usage time period with a duration greater than the preset duration: Take the simultaneous usage time period with a duration greater than the preset duration as the continuous usage time period. When the number of continuous duration time periods is greater than the preset number of continuous time periods or the sum of the cumulative durations of the continuous duration time periods meets the requirements: It is determined that the time period belongs to the frequently used time period; When the number of continuous duration time periods is not greater than the preset number of continuous time periods and the sum of the cumulative durations of the continuous duration time periods does not meet the requirements: Based on the proportion of the sum of the cumulative durations of the continuous duration time periods in the time period and the proportion of the cumulative duration of simultaneous usage in the time period, determine the frequent usage coefficient of the time period, and use the frequent usage coefficient to determine whether the time period belongs to the frequently used time period.

[0048] Further, the method for determining the frequent usage coefficient of the time period is as follows: Determine the frequent usage coefficient of the time period according to the product of the ratio of the cumulative duration of the continuous duration period in the time period and the ratio of the cumulative duration of simultaneous use in the time period in the time period.

[0049] It should be noted that when the frequent usage coefficient is greater than the preset usage coefficient threshold, it is determined that the time period belongs to the frequent usage time period.

[0050] Furthermore, the distribution data of the frequent usage time periods includes the number of frequent usage time periods on different dates.

[0051] In one possible embodiment, determining that the elevator does not require operation and maintenance processing specifically includes: Based on the distribution data of the frequent usage time periods on different dates, determine the proportion of the number of frequent usage time periods on different dates, and use the average value of the proportions of the number of frequent usage time periods on different dates to determine the basic frequent coefficient of elevator use; Based on the distribution data of the frequent usage time periods on different dates, determine the number of deviation time periods in the distribution data of the frequent usage time periods between different dates, and based on the number of deviation time periods between different dates, determine the usage variation coefficient of the elevator use; Based on the sum of the basic frequent coefficient and the usage variation coefficient, determine the operation and maintenance demand coefficient of the elevator, and use the operation and maintenance demand coefficient to determine whether the elevator needs operation and maintenance processing.

[0052] Furthermore, when the operation and maintenance demand coefficient of the elevator is greater than the preset demand coefficient threshold, it is determined that the elevator needs operation and maintenance processing.

[0053] Specifically, the usage variation coefficient of the elevator use is determined according to the ratio of the average value of the number of deviation time periods between different dates to the preset number of deviation time periods.

[0054] Optionally, determining that the elevator does not require operation and maintenance processing specifically includes: Based on the distribution data of the frequent usage time periods on different dates, determine the proportion of the number of frequent usage time periods on different dates, and use the average value of the proportions of the number of frequent usage time periods on different dates to determine the basic frequent coefficient of elevator use. When the basic frequent coefficient is greater than the frequent coefficient setting value, it is determined that the elevator needs operation and maintenance processing; When the basic frequent coefficient is not greater than the frequent coefficient setting value: Based on the proportion of the number of frequently used time periods in different dates, determine the dates with a proportion greater than the preset proportion, and use the dates with a proportion greater than the preset proportion as frequently used dates. When the number of frequently used dates is greater than the preset date quantity threshold, it is determined that the elevator needs to be maintained and operated; When the number of frequently used dates is not greater than the preset date quantity threshold: Use the dates when different time periods are recognized as frequently used time periods as frequently corresponding dates. When there is a time period with the number of frequently corresponding dates less than the preset number of frequently used dates: Use the time period with the number of frequently corresponding dates less than the preset number of frequently used dates as a variable time period. When the number of variable time periods does not meet the requirements, it is determined that the elevator needs to be maintained and operated; When there is no time period with the number of frequently corresponding dates not less than the preset number of frequently used dates or the number of variable time periods meets the requirements: Based on the distribution data of frequently used time periods in different dates, determine the number of deviation time periods in the distribution data of frequently used time periods between different dates. Based on the number of deviation time periods between different dates, determine the usage variation coefficient of the elevator; Based on the sum of the basic frequency coefficient and the usage variation coefficient, determine the maintenance and operation demand coefficient of the elevator, and use the maintenance and operation demand coefficient to determine whether the elevator needs to be maintained and operated.

[0055] In one of the embodiments, as Figure 5 shown, determining whether the elevator needs to be maintained and operated specifically includes: Based on the usage data of the elevator under different load capacities, determine the proportion of usage duration of the elevator in different load capacity intervals, and use the proportion of usage duration in different load capacity intervals to determine the weight coefficient of different load capacity intervals; Based on the deviation situation of the monitoring data under different load capacities, determine the distribution data of the current monitoring data in different load capacity intervals, and combine the preset monitoring quantity corresponding to different load capacity intervals to determine the number of deviation monitoring times when the current monitoring data is greater than the preset monitoring quantity. Based on the number of deviation monitoring times, determine the preset risk coefficient corresponding to different load capacity intervals; Based on the sum of the products of the weight coefficients of different load capacity intervals and the preset risk coefficients, determine the elevator risk coefficient, and use the elevator risk coefficient to determine whether the elevator needs to be maintained and operated.

[0056] Furthermore, when the elevator risk coefficient is greater than the risk coefficient limit value, it is determined that the elevator needs to be maintained and operated.

[0057] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other, and the key point of each embodiment is to illustrate the differences from other embodiments. In particular, for the embodiments of devices, apparatuses, and non-volatile computer storage media, since they are basically similar to the method embodiments, the description is relatively simple, and reference can be made to the relevant parts of the method embodiments for the relevant content.

[0058] The above describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve the desired result. Additionally, the processes depicted in the figures do not necessarily require the particular order or sequential order shown to achieve the desired result. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0059] The above is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included within the scope of the claims of this specification.

Claims

1. An elevator operation and maintenance management method considering Internet of Things monitoring devices, characterized in that, Specifically, it includes: Based on the analysis result of the monitoring data of the Internet of Things monitoring device of the elevator, determine the monitoring data of the elevator under different load capacities. When determining that the operation risk of the elevator is within the preset risk range based on the deviation of the monitoring data under different load capacities, take all the elevators inside the building where the elevator is located as the target monitoring elevators; According to the simultaneous usage data of the target monitoring elevators, determine the simultaneous usage data of the target monitoring elevators in different time periods, and determine the frequently used time periods in different dates based on the simultaneous usage data of the target monitoring elevators; Based on the distribution data of the frequently used time periods in different dates, when it is determined that the elevator does not require operation and maintenance processing, determine whether the elevator requires operation and maintenance processing based on the usage data of the elevator under different load capacities and the deviation of the monitoring data.

2. The elevator operation and maintenance management method considering the Internet of Things monitoring device according to claim 1, wherein The load capacity is determined according to the analysis result of the monitoring data of the weight monitoring device.

3. The elevator operation and maintenance management method considering the Internet of Things monitoring device according to claim 1, characterized in that, Determining that the operation risk of the elevator is within the preset risk range specifically includes: Based on the deviation of the monitoring data under different load capacities, determine the distribution data of the current monitoring data in different load capacity intervals; According to the distribution data of the current monitoring data in different load capacity intervals and the preset monitoring quantity corresponding to the load capacity interval, determine the number of deviation monitoring times when the current monitoring data is greater than the preset monitoring quantity; Determine the total number of deviation monitoring times based on the number of deviation monitoring times in different load capacity intervals, and use the total number of deviation monitoring times to determine the operation risk coefficient of the elevator. Determine whether the operation risk of the elevator is within the preset risk range according to the operation risk coefficient.

4. The elevator operation and maintenance management method considering the Internet of Things monitoring device according to claim 1, characterized in that, When the operation risk of the elevator is not within the preset risk range, judge whether the operation risk coefficient of the elevator is greater than the preset risk coefficient threshold. If so, determine that the elevator requires operation and maintenance processing. If not, determine that the elevator does not require operation and maintenance processing.

5. The elevator operation and maintenance management method considering the Internet of Things monitoring device according to claim 1, characterized in that The method for determining the frequently used time period is: Based on the simultaneous usage data of the target monitoring elevators in different time periods of the date, determine the number of simultaneous usage time periods of the target monitoring elevators in the time period; According to the duration of different simultaneous usage time periods and the number of simultaneous usage time periods, determine the sum of the durations of the simultaneous usage time periods in the time period and accumulate its duration; Based on the accumulated duration, determine whether the time period is a frequently used time period.

6. The elevator operation and maintenance management method considering the Internet of Things monitoring device according to claim 5, wherein, The simultaneous usage time period is the time period when the target monitoring elevators are used simultaneously.

7. The elevator operation and maintenance management method considering the Internet of Things monitoring device according to claim 1, characterized in that Determining that the elevator does not require operation and maintenance processing specifically includes: Based on the distribution data of the frequently used time periods in different dates, determine the proportion of the number of frequently used time periods in different dates, and use the average value of the proportion of the number of frequently used time periods in different dates to determine the basic frequent coefficient of elevator usage; Based on the distribution data of the frequently used time periods in different dates, determine the number of deviation time periods in the distribution data of the frequently used time periods between different dates, and based on the number of deviation time periods between different dates, determine the usage variation coefficient of the elevator usage. Based on the sum of the base frequency coefficient and the usage variation coefficient, determine the operation and maintenance requirement coefficient of the elevator, and use the operation and maintenance requirement coefficient to determine whether the elevator needs to be subject to operation and maintenance processing.

8. An elevator operation and maintenance management system considering Internet of Things monitoring devices, which adopts an elevator operation and maintenance management method according to any one of claims 1-7, characterized in that, Specifically, it includes: A data monitoring module, a usage data acquisition module, and an operation and maintenance strategy determination module; Among them, the data monitoring module is responsible for using Internet of Things monitoring devices to obtain monitoring data under different load capacities; The usage data acquisition module is responsible for obtaining the usage data of all elevators within the building where the elevator is located; The operation and maintenance strategy determination module is responsible for using the monitoring data and the usage data to determine the operation and maintenance processing strategy of the elevator.

9. The elevator operation and maintenance management system considering the Internet of Things monitoring device according to claim 8, characterized in that, The Internet of Things monitoring devices include a weight monitoring device and a current monitoring device.

10. The elevator operation and maintenance management system considering the Internet of Things monitoring device according to claim 8, characterized in that, Using the monitoring data and the usage data to determine the operation and maintenance processing strategy of the elevator specifically includes: Based on the monitoring data, determine the current monitoring data of the elevator, and use the deviation amount between the current monitoring data and the preset monitored amount to determine the current deviation amount; Based on the current deviation amount and the usage data of all elevators within the building where the elevator is located, determine the matching operation and maintenance processing strategy under the current deviation amount and the usage data.

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