Elevator fault monitoring method and device based on running speed, medium and equipment
The elevator operation data is obtained through various speed monitoring algorithms and the missing parts are completed, solving the problem of insufficient data integrity in elevator fault monitoring and improving the effectiveness and accuracy of fault monitoring.
Patent Information
- Application Number
- CN202510221929.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-27
- Publication Date
- 2025-07-25
AI Technical Summary
In the prior art, the effectiveness of elevator fault monitoring based on operating speed data is relatively low, mainly due to the inability to guarantee data integrity, limited signal transmission or abnormal acquisition equipment, resulting in data loss.
Multiple running speed data are obtained through different speed monitoring algorithms, target data is determined and other data is used to complete when missing, avoid homologous data completion, improve data integrity and effectiveness, and then perform fault monitoring.
It improves the effectiveness of elevator fault monitoring, avoids the impact of equipment failure on data, and ensures the integrity and accuracy of data.
Smart Images
Figure CN120364541A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of intelligent monitoring, and specifically relates to an elevator fault monitoring method, device, medium and equipment based on running speed. Background Art
[0002] An elevator refers to a permanent transportation device that serves several specific floors in a building, and its car runs on at least two rigid tracks perpendicular to the horizontal plane or with an inclination angle less than 15° with the plumb line. As one of the indispensable tools in modern cities, its safety has always been highly concerned. Monitoring elevator faults based on running speed is an effective elevator maintenance strategy, but it requires complete and effective data support. During the monitoring process, it is impossible to guarantee the integrity of the data. For example, signal transmission limitations, abnormalities in acquisition devices and receiving devices may all lead to data loss, thereby reducing the effectiveness of elevator fault monitoring based on running speed data. Summary of the Invention
[0003] The main purpose of the present application is to provide an elevator fault monitoring method, device, medium and equipment based on running speed, aiming to solve the problem of low effectiveness of elevator fault monitoring based on running speed data in the prior art.
[0004] To achieve the above purpose, the technical solutions adopted in the embodiments of the present application are as follows:
[0005] In a first aspect, an embodiment of the present application provides an elevator fault monitoring method based on running speed, including the following steps:
[0006] Obtain multiple running speed data of a target elevator based on different speed monitoring algorithms;
[0007] Among the multiple running speed data, determine the target running speed data and the non-target running speed data; wherein, the target running speed data is the data used for elevator fault monitoring;
[0008] In the case where the target running speed data is missing, complement the target running speed data according to the non-target running speed data to obtain the complemented target running speed data;
[0009] Perform fault monitoring on the target elevator according to the complemented target running speed data.
[0010] In a possible implementation manner of the first aspect, complementing the target running speed data according to the non-target running speed data to obtain the complemented target running speed data includes:
[0011] Obtain the data corresponding to the missing data of the target running speed data as the complementing data according to the non-target running speed data;
[0012] Based on the complemented data, complement the target operating speed data to obtain the complemented target operating speed data.
[0013] In a possible implementation manner of the first aspect, before complementing the target operating speed data according to the complemented data to obtain the complemented target operating speed data, the method further includes:
[0014] Complement the missing data according to the existing data of the target operating speed data to obtain the first target operating speed data and the first complemented data;
[0015] Complementing the target operating speed data according to the complemented data to obtain the complemented target operating speed data includes:
[0016] According to the complemented data, correct the first complemented data of the first target operating speed data to complement the target operating speed data and obtain the complemented target operating speed data.
[0017] In a possible implementation manner of the first aspect, before correcting the first complemented data of the first target operating speed data according to the complemented data, the method further includes:
[0018] Obtain the data deviation according to the existing data of the target operating speed data and the corresponding non-target operating speed data;
[0019] Correcting the first complemented data of the first target operating speed data according to the complemented data includes:
[0020] Correct the first complemented data of the first target operating speed data according to the complemented data and the data deviation.
[0021] In a possible implementation manner of the first aspect, correcting the first complemented data of the first target operating speed data according to the complemented data and the data deviation includes:
[0022] Obtain the complemented deviation according to the complemented data and the first complemented data of the first target operating speed data;
[0023] Correct the first complemented data of the first target operating speed data according to the complemented deviation and the data deviation.
[0024] In a possible implementation manner of the first aspect, the speed monitoring algorithm includes: the shaft speed monitoring algorithm, the current monitoring algorithm, and the camera monitoring algorithm. Among multiple operating speed data, determining the target operating speed data and the non-target operating speed data includes:
[0025] Among multiple running speed data, determine the running speed data obtained by the current monitoring algorithm as the target running speed data, and determine the running speed data obtained by the shaft speed monitoring algorithm and the camera monitoring algorithm as non-target running speed data.
[0026] In a possible implementation manner of the first aspect, perform fault monitoring on the target elevator according to the complemented target running speed data, including:
[0027] Obtain abnormal data according to the complemented target running speed data;
[0028] Analyze abnormal factors according to the abnormal data to perform fault monitoring on the target elevator.
[0029] In a second aspect, an embodiment of the present application provides an elevator fault monitoring device based on running speed, including:
[0030] An acquisition module, which is used to acquire multiple running speed data of the target elevator based on different speed monitoring algorithms;
[0031] A determination module, which is used to determine the target running speed data and the non-target running speed data among the multiple running speed data; wherein, the target running speed data is the data used for elevator fault monitoring;
[0032] A complementation module, which is used to complement the target running speed data according to the non-target running speed data when the target running speed data is missing, and obtain the complemented target running speed data;
[0033] A monitoring module, which is used to perform fault monitoring on the target elevator according to the complemented target running speed data.
[0034] In a third aspect, an embodiment of the present application provides a computer-readable storage medium, storing a computer program, which when loaded and executed by a processor, implements the elevator fault monitoring method based on running speed provided in any one of the above first aspects.
[0035] In a fourth aspect, an embodiment of the present application provides an electronic device, including a processor and a memory, wherein,
[0036] The memory is used to store a computer program;
[0037] The processor is used to load and execute the computer program, so that the electronic device executes the elevator fault monitoring method based on running speed provided in any one of the above first aspects.
[0038] Compared with the prior art, the beneficial effects of the present application are:
[0039] A method, device, medium and equipment for elevator fault monitoring based on running speed proposed in an embodiment of the present application, the method includes: obtaining multiple running speed data of a target elevator based on different speed monitoring algorithms; determining target running speed data and non-target running speed data among the multiple running speed data; wherein, the target running speed data is the data used for elevator fault monitoring; in the case where the target running speed data is missing, complementing the target running speed data according to the non-target running speed data to obtain the complemented target running speed data; and performing fault monitoring on the target elevator according to the complemented target running speed data. The present application first obtains multiple running speed data through different speed monitoring algorithms, determines one of the data as the target data and uses it for elevator fault monitoring. In the case where the target data is missing, other data is used to assist in complementing the target data, and homologous data is not used for complementing, avoiding the influence brought by the failure of the acquisition device itself, improving the integrity and effectiveness of the data, and then using the complemented running speed data for monitoring, which can improve the effectiveness of fault monitoring. BRIEF DESCRIPTION OF THE DRAWINGS
[0040] Figure 1 It is a schematic structural diagram of an electronic device for the hardware operating environment involved in an embodiment of the present application;
[0041] Figure 2 It is a schematic flowchart of the elevator fault monitoring method based on running speed provided by an embodiment of the present application;
[0042] Figure 3 It is a schematic module diagram of the elevator fault monitoring device based on running speed provided by an embodiment of the present application;
[0043] Reference numerals in the figure: 101 - processor, 102 - communication bus, 103 - network interface, 104 - user interface, 105 - memory. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0044] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.
[0045] Refer to the attached Figure 1 attachment Figure 1Schematic diagram of the electronic device structure of the hardware operating environment involved in the solution of the embodiment of the present application. The electronic device may include: a processor 101, such as a central processing unit (CPU), a communication bus 102, a user interface 104, a network interface 103, and a memory 105. Among them, the communication bus 102 is used to realize the connection and communication between these components. The user interface 104 may include a display screen (Display), an input unit such as a keyboard (Keyboard). Optionally, the user interface 104 may also include a standard wired interface and a wireless interface. The network interface 103 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (WI-FI) interface). The memory 105 may optionally be a storage device independent of the aforementioned processor 101. The memory 105 may be a high-speed random access memory (Random Access Memory, RAM) or a stable non-volatile memory (Non-Volatile Memory, NVM), such as at least one disk memory; the processor 101 may be a general-purpose processor, including a central processor, a network processor, etc., or may also be a digital signal processor, an application-specific integrated circuit, a field programmable gate array, or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
[0046] Those skilled in the art can understand that the structure shown in the appendix Figure 1 does not constitute a limitation on the electronic device, and may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.
[0047] As shown in the appendix Figure 1 The memory 105, as a storage medium, may include an operating system, a network communication module, a user interface module, and an elevator fault monitoring device based on the running speed.
[0048] In the electronic device shown in the appendix Figure 1 the network interface 103 is mainly used for data communication with the network server; the user interface 104 is mainly used for data interaction with the user; the processor 101 and the memory 105 in the present application may be set in the electronic device. The electronic device calls the elevator fault monitoring device based on the running speed stored in the memory 105 through the processor 101 and executes the elevator fault monitoring method based on the running speed provided by the embodiment of the present application.
[0049] Referring to the appendix Figure 2 Based on the hardware device of the foregoing embodiment, an embodiment of the present application provides an elevator fault monitoring method based on the running speed, including the following steps:
[0050] S10: Obtain multiple running speed data of the target elevator based on different speed monitoring algorithms.
[0051] In the specific implementation process, the target elevator is the elevator that needs to be monitored for faults. The speed monitoring algorithm is used to calculate the running speed of the elevator, and one speed monitoring algorithm corresponds to obtaining a set of data. The speed monitoring algorithms may include shaft speed monitoring algorithm, current monitoring algorithm, and camera monitoring algorithm, where:
[0052] The shaft speed monitoring method is a common and effective method for monitoring the running speed of an elevator. By installing a speed sensor on the elevator shaft, the running speed of the elevator can be monitored in real time. The sensor transmits the speed signal to the control system, and the control system records and analyzes it in real time. According to the change of speed, it is judged whether the elevator is running normally.
[0053] The current monitoring method is another commonly used method for monitoring the elevator speed. The motor of the elevator is responsible for providing the power of the elevator. When the motor is running, it will consume a certain amount of current. By monitoring the change of the motor current, the running speed of the elevator can be indirectly obtained. This method is relatively simple and has a low cost, and can be applied to most elevators.
[0054] The camera monitoring method is an auxiliary speed monitoring method. By installing a camera inside or outside the elevator, the running state of the elevator can be monitored in real time. Using computer vision technologies, such as image processing and object tracking, the displacement information of the elevator can be obtained, and thus the running speed of the elevator can be inferred.
[0055] S20: Determine the target running speed data and non-target running speed data among the multiple running speed data; where the target running speed data is the data used for elevator fault monitoring.
[0056] In the specific implementation process, since there may be some differences in the running speed data calculated by each speed monitoring algorithm, and there is a series of analysis and monitoring algorithms matching the data calculated by a certain method, so in actual application, only the running speed data obtained by choosing one of the speed monitoring algorithms can be selected, that is, the target running speed data is the data used for elevator fault monitoring, and the other running speed data is used as non-target running speed data. Such a choice will not affect the fault monitoring. On the one hand, it is because the difference between different data is small, and on the other hand, it is because the fault monitoring mostly uses the change state of the data to reflect the existence of faults, and does not delve into the specific value of the speed.
[0057] In one embodiment, determining the target running speed data and non-target running speed data among the multiple running speed data includes:
[0058] Among multiple running speed data, determine the running speed data obtained by the current monitoring algorithm as the target running speed data, and determine the running speed data obtained by the shaft speed monitoring algorithm and the camera monitoring algorithm as non-target running speed data.
[0059] In the specific implementation process, since the current monitoring algorithm has a wider application range, compared with the sensor settings for shaft speed monitoring and the method of using a camera for camera monitoring, the current monitoring algorithm is less affected in actual applications. Therefore, select the running speed data obtained by its measurement as the target running speed data, and the data obtained by other methods are non-target running speed data.
[0060] S30: In the case where the target running speed data is missing, complete the target running speed data according to the non-target running speed data to obtain the completed target running speed data.
[0061] In the specific implementation process, if the integrity of the target running speed data is affected, it is completed to ensure the integrity of the data. The missing of the target running speed data may be due to a malfunction of its own acquisition device. To avoid this interference, other non-target running data is used to complete it. Because although there are some differences between the non-target running speed data and the target running speed data, they can all reflect the speed abnormality through the change of the data. Therefore, using these data for completion can effectively recover the missing data.
[0062] Specifically, completing the target running speed data according to the non-target running speed data to obtain the completed target running speed data includes:
[0063] According to the non-target running speed data, obtain the data corresponding to the missing data of the target running speed data as the completion data;
[0064] According to the completion data, complete the target running speed data to obtain the completed target running speed data.
[0065] In the specific implementation process, first find the missing part in the target running speed data, then select it according to the time series, find the corresponding part in the non-target running speed data, and this part of the data is the completion data. Finally, use these data to complete the missing data in the target running speed data to obtain the complete target running speed data, which is the completed target running speed data.
[0066] In one embodiment, before completing the target running speed data according to the completion data to obtain the completed target running speed data, the method further includes:
[0067] Based on the existing data of the target operating speed data, complete the missing data to obtain the first target operating speed data and the first completed data.
[0068] In the specific implementation process, provide a more accurate and more in line with the actual situation completion method. Using the existing data in the target operating speed data, first complete the missing part once. Statistical data completion methods such as mean imputation and median imputation can be used, or data completion methods based on model prediction, such as interpolation method and random forest method, etc. The target operating speed data completed using its own data is recorded as the first target operating speed data, and the data filled into the missing part is recorded as the first completed data.
[0069] Based on the foregoing steps, complete the target operating speed data according to the completed data to obtain the completed target operating speed data, including:
[0070] According to the completed data, correct the first completed data of the first target operating speed data to complete the target operating speed data and obtain the completed target operating speed data.
[0071] As mentioned in the foregoing embodiments, the data obtained under different speed monitoring algorithms may have some differences. Therefore, use the completed data to correct the data filled in to further complete the target operating speed data. Specifically, before correcting the first completed data of the first target operating speed data according to the completed data, the method further includes:
[0072] Obtain the data deviation according to the existing data of the target operating speed data and the corresponding non-target operating speed data.
[0073] In the specific implementation process, in an ideal situation, the deviation of the speed data measured by different speed monitoring algorithms will maintain a stable deviation, and this deviation can be calculated or predicted. Based on this characteristic, except for the missing data between the two operating speed data, calculate the deviation of the corresponding moments of the remaining data, and then use the completed data and this data deviation for correction, so that the deviation between the corrected and completed data and the non-target operating speed data is relatively stable compared with the data deviation calculated previously, such as being consistent or having a changing trend that conforms to a linear law, that is: correcting the first completed data of the first target operating speed data according to the completed data includes:
[0074] Correct the first completed data of the first target operating speed data according to the completed data and the data deviation.
[0075] In one embodiment, correcting the first completed data of the first target operating speed data according to the completed data and the data deviation includes:
[0076] Obtain a completion deviation based on the first completion data of the completed data and the first target operating speed data;
[0077] Correct the first completion data of the first target operating speed data according to the completion deviation and the data deviation.
[0078] In the specific implementation process, during the specific completion process, first obtain the deviation situation of the missing data part through the completed data and the first completion data, and this deviation is recorded as the completion deviation. Compare the completion deviation with the data deviation. If the difference between the two is within an acceptable range, there is no need to adjust the first completion data. If the difference is too large, correction is required. Specifically, whether to increase or decrease depends on whether the difference is positive or negative.
[0079] S40: Perform fault monitoring on the target elevator according to the completed target operating speed data.
[0080] In the specific implementation process, the operating speed of the elevator is precisely controlled by the control system. When a fault occurs in the control system or related mechanical components, the operating speed of the elevator may change, such as sudden acceleration, deceleration, or slow operation. By monitoring the operating speed of the elevator, these abnormal situations can be detected in a timely manner, thereby determining whether the elevator has a fault. That is: obtain abnormal data according to the completed target operating speed data;
[0081] Analyze abnormal factors based on the abnormal data to perform fault monitoring on the target elevator.
[0082] In this embodiment, first obtain multiple operating speed data through different speed monitoring algorithms, determine one of the data as the target data and use it for elevator fault monitoring. In the case where the target data is missing, use other data to assist in completing the target data, and do not use homologous data for completion to avoid the influence caused by the failure of the acquisition device itself, improve the integrity and effectiveness of the data, and then use the completed operating speed data for monitoring, which can improve the effectiveness of fault monitoring.
[0083] Refer to the attached Figure 3 , based on the same inventive concept as in the foregoing embodiment, the embodiment of the present application further provides an elevator fault monitoring device based on operating speed, including:
[0084] An obtaining module, which is used to obtain multiple operating speed data of the target elevator based on different speed monitoring algorithms;
[0085] A determining module, which is used to determine the target operating speed data and the non-target operating speed data among the multiple operating speed data; wherein, the target operating speed data is the data used for elevator fault monitoring;
[0086] A completion module, which is used to complete the target operating speed data according to the non-target operating speed data when the target operating speed data is missing, so as to obtain the completed target operating speed data;
[0087] A monitoring module, which is used to monitor the faults of the target elevator according to the completed target operating speed data.
[0088] Those skilled in the art should understand that the division of each module in the embodiment is only a logical function division. In actual application, it can be fully or partially integrated into one or more actual carriers, and these modules can all be implemented in the form of software called by a processing unit, or all be implemented in the form of hardware, or be implemented in the form of a combination of software and hardware. It should be noted that each module in the elevator fault monitoring device based on the operating speed in this embodiment corresponds one by one to each step in the elevator fault monitoring method based on the operating speed in the foregoing embodiment. Therefore, the specific implementation manner of this embodiment can refer to the implementation manner of the foregoing elevator fault monitoring method based on the operating speed, which will not be elaborated here.
[0089] Based on the same inventive concept as in the foregoing embodiment, an embodiment of the present application also provides a computer-readable storage medium storing a computer program, which when loaded and executed by a processor, implements the elevator fault monitoring method based on the operating speed provided by the embodiment of the present application.
[0090] Based on the same inventive concept as in the foregoing embodiment, an embodiment of the present application also provides an electronic device, including a processor and a memory, wherein,
[0091] The memory is used to store a computer program;
[0092] The processor is used to load and execute the computer program so that the electronic device executes the elevator fault monitoring method based on the operating speed provided by the embodiment of the present application.
[0093] In some embodiments, the computer-readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disc, or CD-ROM; or it may be various devices including one or any combination of the foregoing memories. The computer may be various computing devices including intelligent terminals and servers.
[0094] In some embodiments, the executable instructions may be in the form of a program, software, software module, script, or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including being deployed as an independent program or being deployed as a module, component, subroutine, or other unit suitable for use in a computing environment.
[0095] As an example, executable instructions may, but need not, correspond to a file in a file system, may be stored as part of a file that stores other programs or data, such as in one or more scripts in a HyperText Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files storing one or more modules, subroutines, or code portions).
[0096] By way of example, executable instructions may be deployed to be executed on one computing device, or on multiple computing devices located at one site, or on multiple computing devices distributed across multiple sites and interconnected by a communication network.
[0097] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.
[0098] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.
[0099] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory / random access memory, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a multimedia terminal device (which can be a mobile phone, a computer, a television receiver, or a network device, etc.) to execute the methods described in each embodiment of the present application.
[0100] In summary, a method, device, medium, and equipment for elevator fault monitoring based on running speed provided by the present application, the method includes: obtaining multiple running speed data of a target elevator based on different speed monitoring algorithms; determining target running speed data and non-target running speed data among the multiple running speed data; wherein, the target running speed data is the data used for elevator fault monitoring; in the case where the target running speed data is missing, complementing the target running speed data according to the non-target running speed data to obtain the complemented target running speed data; and performing fault monitoring on the target elevator according to the complemented target running speed data. The present application first obtains multiple running speed data through different speed monitoring algorithms, determines one of the data as the target data and uses it for elevator fault monitoring. In the case where the target data is missing, other data is used to assist in complementing the target data, and homologous data is not used for complementing to avoid the influence brought by the failure of the acquisition device itself, improving the integrity and effectiveness of the data. Furthermore, using the complemented running speed data for monitoring can improve the effectiveness of fault monitoring.
[0101] The foregoing are only the preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included within the protection scope of the present application.
Claims
1. An elevator fault monitoring method based on running speed, characterized in that, Including the following steps: Based on different speed monitoring algorithms, obtain multiple operating speed data of the target elevator; Among the multiple operating speed data, determine the target operating speed data and the non-target operating speed data; wherein, the target operating speed data is the data used for elevator fault monitoring; In the case where the target operating speed data is missing, complement the target operating speed data according to the non-target operating speed data to obtain the complemented target operating speed data; Perform fault monitoring on the target elevator according to the complemented target operating speed data.
2. The elevator fault monitoring method based on the running speed according to claim 1, characterized in that The complementing the target operating speed data according to the non-target operating speed data to obtain the complemented target operating speed data includes: According to the non-target operating speed data, obtain the data corresponding to the missing data of the target operating speed data as the complementing data; According to the complementing data, complement the target operating speed data to obtain the complemented target operating speed data.
3. The elevator fault monitoring method based on the running speed according to claim 2, characterized in that, Before the complementing the target operating speed data according to the complementing data to obtain the complemented target operating speed data, the method further includes: According to the existing data of the target operating speed data, complement the missing data to obtain the first target operating speed data and the first complementing data; The complementing the target operating speed data according to the complementing data to obtain the complemented target operating speed data includes: According to the complementing data, correct the first complementing data of the first target operating speed data to complement the target operating speed data and obtain the complemented target operating speed data.
4. The elevator fault monitoring method based on the running speed according to claim 3, characterized in that, Before the correcting the first complementing data of the first target operating speed data according to the complementing data, the method further includes: According to the existing data of the target operating speed data and the corresponding non-target operating speed data, obtain the data deviation; The correcting the first complementing data of the first target operating speed data according to the complementing data includes: Correct the first complementing data of the first target operating speed data according to the complementing data and the data deviation.
5. The elevator fault monitoring method based on running speed according to claim 4, wherein, The correcting the first complementing data of the first target operating speed data according to the complementing data and the data deviation includes: According to the complementing data and the first complementing data of the first target operating speed data, obtain the complementing deviation; According to the complementing deviation and the data deviation, correct the first complementing data of the first target operating speed data.
6. The elevator fault monitoring method based on the running speed according to claim 1, characterized in that, The speed monitoring algorithms include: shaft speed monitoring algorithm, current monitoring algorithm, and camera monitoring algorithm. The determining the target operating speed data and the non-target operating speed data among the multiple operating speed data includes: Among the multiple operating speed data, determine that the operating speed data obtained by the current monitoring algorithm is the target operating speed data, and determine that the operating speed data obtained by the shaft speed monitoring algorithm and the camera monitoring algorithm is the non-target operating speed data.
7. The elevator fault monitoring method based on the running speed according to claim 1, wherein Performing fault monitoring on the target elevator according to the completed target operating speed data, including: Obtaining abnormal data according to the completed target operating speed data; Analyzing abnormal factors based on the abnormal data to perform fault monitoring on the target elevator.
8. An elevator fault monitoring device based on running speed, characterized in that, Including: An obtaining module configured to obtain multiple operating speed data of the target elevator based on different speed monitoring algorithms; A determining module configured to determine target operating speed data and non-target operating speed data from the multiple operating speed data; wherein the target operating speed data is data for elevator fault monitoring; A completing module configured to complete the target operating speed data according to the non-target operating speed data when the target operating speed data is missing, to obtain the completed target operating speed data; A monitoring module configured to perform fault monitoring on the target elevator according to the completed target operating speed data.
9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is loaded and executed by a processor, it implements the elevator fault monitoring method based on operating speed according to any one of claims 1-7.
10. An electronic device, characterized in that, Including a processor and a memory, wherein, The memory is configured to store a computer program; The processor is configured to load and execute the computer program, so that the electronic device executes the elevator fault monitoring method based on operating speed according to any one of claims 1-7.