Fault early warning method, system and device of elevator door lock contact switch and medium
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-01-04
- Publication Date
- 2026-08-11
AI Technical Summary
相关技术中,通过拆解电梯门锁回路,直接测量触点开关接触电阻值的方法以进行性能劣化程度评估和故障预警,但该方法增加了工程实际应用的操作难度
[0044]The embodiments of this application include at least the following beneficial effects: This application provides a fault early warning method, system, device, and medium for elevator door lock contact switches. The scheme involves measuring the voltage across a step-down resistor in the elevator door lock circuit using an automatic voltage measuring device; recording the voltage across the step-down resistor at preset time intervals; performing differential operations on the voltage values to obtain voltage change values; providing an initial estimate of the voltage change values; determining an estimated value of the voltage change values based on the initial estimate; obtaining an equation containing a smoothing factor based on the estimated value of the voltage change values and an exponential smoothing prediction model; iteratively estimating the smoothing factor using the minimum residual sum of squares criterion to obtain a fault prediction model; finally, determining a fault early warning threshold for the elevator door lock contact switch based on the fault prediction model and the sliding window statistical method, and providing a fault early warning for the elevator door lock contact switch based on the fault early warning threshold. This solution eliminates the need to disassemble the existing circuitry. By installing an automatic voltage measuring device across the step-down resistor in the elevator door lock circuit, the voltage across the resistor can be directly measured, reducing the difficulty of obtaining measurement data and overcoming the challenge of applying contact switch fault warnings in practical engineering. This increases the feasibility of engineering applications. Furthermore, it provides fault warnings before contact switches fail, effectively reducing the probability of elevator door lock malfunctions and improving the safety and reliability of elevator operation.
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Figure CN118239358B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of elevator safety technology, and in particular to a fault early warning method, system, device and medium for elevator door lock contact switches. Background Technology
[0002] With the increasing number of high-rise buildings, elevators have gradually become an indispensable vertical transportation tool in people's work and daily lives. Furthermore, with the widespread use of elevators, people are paying increasing attention to their safety and reliability. Statistics show that over 80% of elevator malfunctions and over 70% of elevator accidents are caused by failures in the door opening and closing system. Of these, approximately 80% of door opening and closing system failures occur in the elevator door lock contact switches. Because the consequences of elevator door lock contact switch failures are often serious, directly endangering the lives and property of passengers, this has attracted significant public attention.
[0003] Currently, research on contact switches in elevator door lock circuits mainly focuses on failure mechanism analysis. One related technology involves disassembling the elevator door lock circuit and directly measuring the contact resistance of the contact switches to assess performance degradation and provide early warning of faults. However, this method increases the operational difficulty for practical engineering applications. Summary of the Invention
[0004] The main objective of this application is to provide a fault warning method, system, device, and medium for elevator door lock contact switches, which can improve the safety and reliability of elevator operation.
[0005] To achieve the above objectives, one aspect of this application proposes a fault early warning method for elevator door lock contact switches, the method comprising:
[0006] The voltage across the step-down resistor in the elevator door lock circuit is measured using an automatic voltage measuring device.
[0007] Record the voltage values across the step-down resistor at preset time intervals;
[0008] Perform a differential operation on the voltage value to obtain the voltage change value;
[0009] Given an initial estimate of the voltage change value, determine an estimated value of the voltage change value based on the initial estimate of the voltage change value;
[0010] Based on the estimated voltage change value and the exponential smoothing prediction model, an equation containing a smoothing factor is obtained. The smoothing factor is then iteratively estimated using the criterion of minimizing the sum of squared residuals to obtain the fault prediction model.
[0011] The fault warning threshold of the elevator door lock contact switch is determined based on the fault prediction model and the sliding window statistical method, and the elevator door lock contact switch is given a fault warning based on the fault warning threshold.
[0012] In some embodiments, performing a differential operation on the voltage value to obtain the voltage change value includes the following steps:
[0013] The voltage values are sorted according to the recording time to obtain a sequence of voltage values;
[0014] The voltage change value is obtained by calculating the difference between two adjacent voltage values in the sequence.
[0015] In some embodiments, the step of obtaining an equation containing a smoothing factor based on the estimated voltage change value and an exponential smoothing prediction model, and then estimating the smoothing factor using a criterion of minimizing the sum of squared residuals to obtain a fault prediction model, includes the following steps:
[0016] Substituting the estimated voltage change value into the exponential smoothing prediction model yields an equation that includes a smoothing factor;
[0017] After substituting the equation containing the smoothing factor into the criterion for minimizing the sum of squared residuals, the smoothing factor is iteratively estimated based on the criterion for minimizing the sum of squared residuals to obtain the optimal smoothing factor.
[0018] The fault prediction model is obtained based on the optimal smoothing factor.
[0019] In some embodiments, the expression for the exponential smoothing prediction model is:
[0020]
[0021] in, The voltage change at time point 2n is the estimated value, where α is the smoothing factor, and ΔU is the voltage change at time point 2n. 2n This represents the actual value of the voltage change at time point 2n. This is an estimate of the voltage change at time point 2n-1.
[0022] In some embodiments, the expression for the criterion for minimizing the sum of squared residuals is:
[0023]
[0024] Where SSE represents the minimum residual sum of squares, k is the initial term for minimizing the residual sum of squares, and k=1 indicates that the initial term for minimizing the residual sum of squares is... n represents the number of voltage changes.
[0025] In some embodiments, determining the fault warning threshold of the elevator door lock contact switch based on the fault prediction model and the sliding window statistical method includes the following steps:
[0026] The voltage change value is predicted based on the fault prediction model to obtain a first predicted value of the voltage change value;
[0027] The difference between the first predicted value of the voltage change and the voltage change value is calculated to obtain the first residual time series of the fault prediction model;
[0028] The sliding window statistical method is used to slide the first residual time series of the fault prediction model, and the average value of the first residual time series within the sliding window is calculated to obtain a new residual average time series.
[0029] The maximum value of the new residual average time series is taken as the deviation limit, and the fault warning threshold of the elevator door lock contact switch is determined according to the deviation limit and the threshold coefficient; wherein, the threshold coefficient is determined by the contact failure criterion in the international standard.
[0030] In some embodiments, after the step of determining the fault warning threshold of the elevator door lock contact switch based on the fault prediction model and the sliding window statistical method, the method further includes the following steps:
[0031] The fault prediction model is used to predict the voltage change across the step-down resistor in the elevator door lock circuit, and a second predicted value of the voltage change is obtained.
[0032] The difference between the second predicted value of the voltage change and the voltage change value is calculated to obtain the second residual time series of the fault prediction model;
[0033] The sliding window statistical method is used to slide the model over the second residual time series of the fault prediction model and calculate the average value within the window under the second residual time series.
[0034] If the average value within the second residual time window exceeds the fault warning threshold, a fault warning is issued for the elevator door lock contact switch; wherein the fault warning is issued by light or sound.
[0035] To achieve the above objectives, another aspect of this application proposes a fault early warning system for elevator door lock contact switches, the system comprising:
[0036] The first module is used to measure the voltage across the step-down resistor in the elevator door lock circuit using an automatic voltage measuring device.
[0037] The second module is used to record the voltage value across the step-down resistor at preset time intervals.
[0038] The third module is used to perform differential calculations on the voltage value to obtain the voltage change value;
[0039] The fourth module is used to provide an initial estimate of the voltage change value and determine an estimated value of the voltage change value based on the initial estimate of the voltage change value.
[0040] The fifth module is used to obtain an equation containing a smoothing factor based on the estimated value of the voltage change and the exponential smoothing prediction model, and to estimate the smoothing factor by combining the criterion of minimizing the sum of squared residuals, thereby obtaining a fault prediction model.
[0041] The sixth module is used to determine the fault warning threshold of the elevator door lock contact switch based on the fault prediction model and the sliding window statistical method, and to provide fault warning for the elevator door lock contact switch based on the fault warning threshold.
[0042] To achieve the above objectives, another aspect of this application provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the method described above.
[0043] To achieve the above objectives, another aspect of the embodiments of this application proposes a computer-readable storage medium storing a computer program that, when executed by a processor, implements the methods described above.
[0044] The embodiments of this application include at least the following beneficial effects: This application provides a fault early warning method, system, device, and medium for elevator door lock contact switches. The scheme involves measuring the voltage across a step-down resistor in the elevator door lock circuit using an automatic voltage measuring device; recording the voltage across the step-down resistor at preset time intervals; performing differential operations on the voltage values to obtain voltage change values; providing an initial estimate of the voltage change values; determining an estimated value of the voltage change values based on the initial estimate; obtaining an equation containing a smoothing factor based on the estimated value of the voltage change values and an exponential smoothing prediction model; iteratively estimating the smoothing factor using the minimum residual sum of squares criterion to obtain a fault prediction model; finally, determining a fault early warning threshold for the elevator door lock contact switch based on the fault prediction model and the sliding window statistical method, and providing a fault early warning for the elevator door lock contact switch based on the fault early warning threshold. This solution eliminates the need to disassemble the existing circuitry. By installing an automatic voltage measuring device across the step-down resistor in the elevator door lock circuit, the voltage across the resistor can be directly measured, reducing the difficulty of obtaining measurement data and overcoming the challenge of applying contact switch fault warnings in practical engineering. This increases the feasibility of engineering applications. Furthermore, it provides fault warnings before contact switches fail, effectively reducing the probability of elevator door lock malfunctions and improving the safety and reliability of elevator operation. Attached Figure Description
[0045] Figure 1 This is a flowchart of the fault warning method for elevator door lock contact switch provided in the embodiments of this application;
[0046] Figure 2 yes Figure 1 The flowchart of step S103 in the process;
[0047] Figure 3 yes Figure 1 The flowchart of step S104 in the process;
[0048] Figure 4 yes Figure 1 The flowchart of step S105 in the process;
[0049] Figure 5 yes Figure 1 The flowchart following step S105;
[0050] Figure 6 This is a schematic diagram of the fault warning system for elevator door lock contact switches provided in this application embodiment;
[0051] Figure 7 This is a schematic diagram of the hardware structure of the electronic device provided in the embodiments of this application;
[0052] Figure 8This is a simplified circuit diagram of the door lock circuit of the elevator in the absence of an external call, provided in an embodiment of this application. Detailed Implementation
[0053] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit it. In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with those of this application; they are merely examples of systems and methods consistent with some aspects of the embodiments of this application as detailed in the appended claims.
[0054] It is understood that the terms “first,” “second,” etc., used in this application may be used herein to describe various concepts, but unless otherwise stated, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another. For example, without departing from the scope of the embodiments of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the words “if,” “when,” or “in response to a determination” as used herein may be interpreted as “when…” or “when…” or “in response to a determination.”
[0055] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.
[0056] Please see Figure 8 , Figure 8 The diagram shows a simplified equivalent circuit diagram of the elevator door lock circuit in the absence of an external call, which is used to implement the fault warning method for the elevator door lock contact switch provided in the embodiment of the present invention.
[0057] Wherein, DS1 and DS2 are contact switches for the elevator door lock circuit. This embodiment of the invention does not limit the number of contact switches; the specific number can be determined according to the number of floors or specific circumstances. R0 is the voltage-dropping resistor for the elevator door lock circuit; U2 is a high-precision automatic voltage measuring device used to measure the voltage across the voltage-dropping resistor in the elevator door lock circuit; R n U1 is the total contact resistance of the n contact switches; U2 is the total voltage of the n contact switches; U3 is the total voltage of the elevator door lock circuit.
[0058] Specifically, the embodiments of the present invention assess the performance degradation of the entire contact switch to provide early warning of the performance degradation of the entire contact circuit, thereby facilitating on-demand maintenance of the elevator door lock circuit.
[0059] Furthermore, the present invention provides a method that eliminates the need to disassemble the elevator door lock circuit. By directly measuring the voltage value of the contact resistance of the contact switch through the installation of an automatic voltage measuring device, the performance degradation of the elevator door lock circuit contact switch can be assessed and fault warnings can be provided. This reduces the difficulty of measuring data, overcomes the problem that contact switch fault warnings are difficult to apply in engineering practice, and increases the feasibility of engineering applications.
[0060] Please see Figure 1 This is an optional flowchart of the fault warning method for elevator door lock contact switches provided in the embodiments of this application. Figure 1 The method may include, but is not limited to, steps S101 to S106.
[0061] Step S101: Measure the voltage across the step-down resistor in the elevator door lock circuit using an automatic voltage measuring device.
[0062] Step S102: Record the voltage value across the step-down resistor at preset time intervals;
[0063] Step S103: Perform differential calculation on the voltage value to obtain the voltage change value;
[0064] Step S104: Given an initial estimate of the voltage change value, determine the estimated value of the voltage change value based on the initial estimate of the voltage change value;
[0065] Step S105: Based on the estimated voltage change value and the exponential smoothing prediction model, an equation containing a smoothing factor is obtained, and the smoothing factor is iteratively estimated using the criterion of minimizing the sum of squared residuals to obtain the fault prediction model.
[0066] Step S106: Determine the fault warning threshold of the elevator door lock contact switch based on the fault prediction model and the sliding window statistical method, and issue a fault warning for the elevator door lock contact switch based on the fault warning threshold.
[0067] In step S102 of some embodiments, the present invention can automatically record the voltage value across the step-down resistor every 6 hours when there is no external call from the elevator.
[0068] In step S104 of some embodiments, the embodiments of the present invention may subjectively provide an initial estimate of the voltage change value so as to facilitate subsequent iterative estimation of the smoothing factor based on the criterion of minimizing the sum of squared residuals.
[0069] Steps S101 to S106 of this application embodiment, by installing an automatic voltage measuring device across the step-down resistor in the elevator door lock circuit, can directly measure the voltage value across the step-down resistor without disassembling the original circuit, reducing the difficulty of measuring data and overcoming the problem of the difficulty in applying contact switch fault warning in engineering practice, thus increasing the feasibility of engineering application. Furthermore, this solution can provide fault warning before the contact switch fails, effectively reducing the probability of elevator door lock failure, while improving the safety and reliability of elevator operation and enabling timely maintenance of the elevator door lock circuit.
[0070] Please see Figure 2 In some embodiments, step S103 may include, but is not limited to, steps S201 to S202:
[0071] Step S201: Sort the voltage values according to the recording time to obtain a sequence of voltage values;
[0072] Step S202: Calculate the difference between two adjacent voltage values in the sequence to obtain the voltage change value.
[0073] In step S201 of some embodiments, exemplarily, after sorting the voltage values, the voltage value sequence U2 can be represented as: U2 = [U 20 U 21 U 22 , ..., U 2n-1 U 2n ].
[0074] In step S202 of some embodiments, the present invention performs a difference operation on two adjacent voltage values in the voltage value sequence based on the sequence of voltage values in step S201 to obtain the voltage change value. For example, the voltage change value ΔU2 can be expressed as: ΔU2=[U 21 -U 20 U 22 -U 21 , ..., U 2n -U 2n-1 ], that is, ΔU2=[ΔU 21 ΔU 22 , …, ΔU 2n ].
[0075] Steps S201 to S202, as shown in the embodiments of this application, obtain voltage change values by performing differential calculations on voltage values, thereby laying the foundation for subsequent construction of fault prediction models.
[0076] Please see Figure 3 In some embodiments, step S104 may include, but is not limited to, steps S301 to S303:
[0077] Step S301: Substitute the estimated value of the voltage change into the exponential smoothing prediction model to obtain an equation containing the smoothing factor.
[0078] Step S302: Substitute the equation containing the smoothing factor into the criterion of minimizing the sum of squared residuals, and then estimate the smoothing factor based on the criterion of minimizing the sum of squared residuals to obtain the optimal smoothing factor.
[0079] Step S303: Obtain the fault prediction model based on the optimal smoothing factor.
[0080] In step S301 of some embodiments, the expression for the exponential smoothing prediction model is:
[0081]
[0082] in, The voltage change at time point 2n is the estimated value, where α is the smoothing factor (0 < α < 1), and ΔU 2n This represents the actual value of the voltage change at time point 2n. This is an estimate of the voltage change at time point 2n-1.
[0083] Specifically, in this embodiment of the invention, an initial estimate of the voltage change value is first subjectively given. For example, the initial estimate of the voltage change value can be given as follows: Then, based on the initial value of the voltage change, the estimated value of the voltage change is determined. The estimated value of the voltage change can be expressed as: the actual value of the first three voltage changes (ΔU). 21 ΔU 22 ΔU 23 The average value of the voltage change is then used. Finally, the estimated value of the voltage change is substituted into the exponential smoothing prediction model to obtain an equation that includes the smoothing factor. At this point, the new exponential smoothing prediction model (i.e., the equation that includes the smoothing factor) only contains the smoothing factor as an unknown.
[0084] In step S302 of some embodiments, the expression for the criterion of minimizing the sum of squared residuals is:
[0085]
[0086] Where SSE represents the minimum residual sum of squares, k is the initial term for minimizing the residual sum of squares, and k=1 indicates that the initial term for minimizing the residual sum of squares is... Let ΔU be the estimated value of the voltage change at time point 2n. 2n This represents the actual value of the voltage change at time point 2n, where n is the number of voltage changes.
[0087] Specifically, in this embodiment of the invention, an equation containing a smoothing factor is obtained through step S301. Then, this equation is substituted into the criterion of minimizing the sum of squared residuals, and the smoothing factor is iteratively estimated based on this criterion to obtain the optimal smoothing factor. Finally, the calculated optimal smoothing factor is substituted into the exponential smoothing prediction model to obtain the fault prediction model.
[0088] In step S303 of some embodiments, a high-precision fault prediction model can be obtained based on the optimal smoothing factor, so as to provide fault warning for the contact switch of the elevator door lock circuit and to carry out the maintenance work of the elevator door lock circuit in advance to avoid the occurrence of safety accidents.
[0089] Steps S301 to S303 as shown in the embodiments of this application construct a high-precision fault prediction model by minimizing the residual sum of squares criterion and the exponential smoothing prediction model. This can effectively reduce the probability of elevator door lock failure and improve the safety and reliability of elevator operation.
[0090] Please see Figure 4 In some embodiments, step S105 includes, but is not limited to, steps S401 to S404:
[0091] Step S401: Predict the voltage change value according to the fault prediction model to obtain the first predicted value of the voltage change value;
[0092] Step S402: Calculate the difference between the first predicted value of the voltage change and the voltage change value to obtain the first residual time series of the fault prediction model;
[0093] Step S403: Slide the sliding window statistical method on the first residual time series of the fault prediction model, and calculate the average value of the first residual time series within the sliding window to obtain a new residual average time series;
[0094] Step S404: The maximum value of the new residual average time sequence is taken as the deviation limit, and the fault warning threshold of the elevator door lock contact switch is determined according to the deviation limit and the threshold coefficient; wherein, the threshold coefficient is determined by the contact failure criterion in the international standard.
[0095] In step S401 of some embodiments, exemplarily, the voltage change value can be expressed as: ΔU2, and the first predicted value of the voltage change value can be expressed as:
[0096] In step S402 of some embodiments, the first residual timing can be exemplarily represented as:
[0097] In step S403 of some embodiments, in the step of sliding on the first residual time series of the fault prediction model according to the sliding window statistical method, exemplarily, the window length can be selected as D = 4. By segmentally statistically analyzing the first residual time series within the window and using the average value of the first residual time series in the window as the evaluation quantity for fault warning, the influence of isolated outliers on the fault warning threshold can be reduced.
[0098] Among them, in actual experience, the value range of the window length is: 2 < D < 6. Exemplarily, in the embodiments of the present invention, the intermediate value 4 is taken to reduce the occurrence of false alarms caused by isolated outliers.
[0099] In step S404 of some embodiments, the new residual average time series of the maximum value is used as the deviation limit, and the threshold coefficient is determined by referring to the contact failure criterion in the international standard GB / T15510-2008. Considering the timeliness and accuracy of fault warning, exemplarily, the threshold coefficient k is selected as 1.1. Therefore, the fault warning threshold of the door lock contact switch can be expressed as:
[0100] Steps S401 to S404 illustrated in the embodiments of the present application, by calculating the new residual average time series from the first residual time series within the window to statistically analyze the first residual time series, can further evaluate the change in the working performance of the elevator door lock contact switch. In addition, by calculating the deviation limit of the evaluation quantity (the new residual average time series) and setting the threshold coefficient, the fault warning threshold of the elevator door lock loop contact switch can be determined to give an early warning before the elevator door lock contact switch fails in time, and the operation and maintenance work of the elevator door lock loop can be done in advance, while avoiding the occurrence of safety accidents at the same time.
[0101] Please refer to Figure 5 , in some embodiments, after step S105, it may include but is not limited to steps S501 to S504:
[0102] Step S501, predicting the voltage change value at both ends of the step-down resistor of the elevator door lock loop through the fault prediction model to obtain the second predicted value of the voltage change value;
[0103] Step S502, calculating the difference between the second predicted value of the voltage change value and the voltage change value to obtain the second residual time series of the fault prediction model;
[0104] Step S503, sliding on the second residual time series of the fault prediction model according to the sliding window statistical method and calculating the average value within the window under the second residual time series; <00° 272>Step S504: If the average value within the second residual time window exceeds the fault warning threshold, a fault warning is issued for the elevator door lock contact switch; wherein, the fault warning is issued by light or sound.
[0106] In steps S501 to S503 of some embodiments, the voltage change across the step-down resistor of the elevator door lock circuit is predicted using a fault prediction model, and then the average value within the second residual time sequence window is calculated. This facilitates subsequent fault warnings for the elevator door lock contact switches, improving the safety and reliability of elevator operation and reducing the occurrence of safety accidents. Furthermore, the principle for calculating the average value within the second residual time sequence window is similar to steps S401 to S403, and therefore will not be repeated.
[0107] In step S504 of some embodiments, if the average value within the second residual time window exceeds the fault warning threshold, it indicates that the evaluation quantity corresponding to the fault prediction model (the average value within the second residual time window) begins to deviate from the value corresponding to normal operating conditions. That is, the working performance of the elevator door lock contact switch has become abnormal. At this time, the elevator may malfunction, and a warning can be issued by light or sound to promptly remind relevant personnel and thus complete the fault investigation and repair work. For example, light warnings include, but are not limited to, LED lights and flashing lights; warnings can also be issued by sound, including, but not limited to, buzzers, speakers, and intelligent voice alarms.
[0108] Steps S501 to S504 as shown in the embodiments of this application predict the voltage change across the step-down resistor of the elevator door lock circuit using a fault prediction model, and monitor it in real time in conjunction with a fault warning threshold. This allows for early warning before the elevator door lock circuit contact switch fails, thus preventing safety accidents and promptly reminding staff to troubleshoot and repair the elevator.
[0109] Please see Figure 6 This application also provides a fault early warning system for elevator door lock contact switches, which can realize the above-mentioned fault early warning method for elevator door lock contact switches. The system includes:
[0110] The first module 601 is used to measure the voltage across the step-down resistor of the elevator door lock circuit according to the automatic voltage measuring device.
[0111] The second module 602 is used to record the voltage value across the step-down resistor at preset time intervals.
[0112] The third module 603 is used to perform differential calculations on the voltage value to obtain the voltage change value;
[0113] The fourth module 604 is used to determine the estimated value of the voltage change based on the initial estimate of the voltage change value.
[0114] The fifth module 605 is used to obtain an equation containing a smoothing factor based on the estimated value of the voltage change and the exponential smoothing prediction model, and to iteratively estimate the smoothing factor by combining the criterion of minimizing the sum of squared residuals to obtain the fault prediction model.
[0115] The sixth module 606 is used to determine the fault warning threshold of the elevator door lock contact switch based on the fault prediction model and the sliding window statistical method, and to provide fault warning for the elevator door lock contact switch based on the fault warning threshold.
[0116] It is understood that the content of the above method embodiments is applicable to this system embodiment. The specific functions implemented in this system embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.
[0117] This application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the aforementioned fault warning method for the elevator door lock contact switch. This electronic device can be any smart terminal, including tablet computers, in-vehicle computers, etc.
[0118] It is understood that the content of the above method embodiments is applicable to this device embodiment. The specific functions implemented by this device embodiment are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.
[0119] Please see Figure 7 , Figure 7 The hardware structure of an electronic device according to another embodiment is illustrated. The electronic device includes:
[0120] The processor 701 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application.
[0121] The memory 702 can be implemented as a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 702 can store the operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 702 and is called and executed by the processor 701 to execute the fault warning method for the elevator door lock contact switch according to the embodiments of this application.
[0122] The input / output interface 703 is used to implement information input and output;
[0123] The communication interface 704 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, Ethernet cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).
[0124] Bus 705 transmits information between various components of the device (e.g., processor 701, memory 702, input / output interface 703, and communication interface 704);
[0125] The processor 701, memory 702, input / output interface 703, and communication interface 704 are connected to each other within the device via bus 705.
[0126] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described fault warning method for elevator door lock contact switches.
[0127] It is understood that the content of the above method embodiments is applicable to this storage medium embodiment. The specific functions implemented in this storage medium embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.
[0128] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
[0129] The fault warning method, system, electronic device, and storage medium for elevator door lock contact switches provided in this application embodiment measure the voltage across the step-down resistor in the elevator door lock circuit using an automatic voltage measuring device. Then, the voltage across the step-down resistor is recorded at preset time intervals. The voltage values are then differentially calculated to obtain voltage change values. An initial estimate of the voltage change value is given, and an estimated value of the voltage change value is determined based on this initial estimate. Next, an equation containing a smoothing factor is obtained based on the estimated voltage change value and an exponential smoothing prediction model. The smoothing factor is iteratively estimated using the minimum residual sum of squares criterion to obtain a fault prediction model. Finally, a fault warning threshold for the elevator door lock contact switch is determined based on the fault prediction model and a sliding window statistical method, and a fault warning is issued for the elevator door lock contact switch based on the fault warning threshold. This solution eliminates the need to disassemble the original circuit. By installing an automatic voltage measuring device across the step-down resistor in the elevator door lock circuit, the voltage across the step-down resistor can be directly measured, reducing the difficulty of measuring data and overcoming the problem of the difficulty in applying contact switch fault warning in engineering practice, thus increasing the feasibility of engineering applications. In addition, this solution can provide early warning of faults before the contact switch fails, effectively reducing the probability of elevator door lock failures and improving the safety and reliability of elevator operation.
[0130] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.
[0131] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.
[0132] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.
[0133] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.
[0134] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.
Claims
1. A fault early warning method for elevator door lock contact switches, characterized in that, The method includes the following steps: The voltage across the step-down resistor in the elevator door lock circuit is measured using an automatic voltage measuring device. Record the voltage values across the step-down resistor at preset time intervals; Perform a differential operation on the voltage value to obtain the voltage change value; Given an initial estimate of the voltage change value, determine an estimated value of the voltage change value based on the initial estimate of the voltage change value; Based on the estimated voltage change value and the exponential smoothing prediction model, an equation containing a smoothing factor is obtained. The smoothing factor is then iteratively estimated using the criterion of minimizing the sum of squared residuals to obtain the fault prediction model. The fault warning threshold of the elevator door lock contact switch is determined based on the fault prediction model and the sliding window statistical method, and the elevator door lock contact switch is given a fault warning based on the fault warning threshold. The step of determining the fault warning threshold of the elevator door lock contact switch based on the fault prediction model and the sliding window statistical method includes the following steps: The voltage change value is predicted based on the fault prediction model to obtain a first predicted value of the voltage change value; The difference between the first predicted value of the voltage change and the actual voltage change is calculated to obtain the first residual time series of the fault prediction model; The sliding window statistical method is used to slide the first residual time series of the fault prediction model, and the average value of the first residual time series within the sliding window is calculated to obtain a new residual average time series. The maximum value of the new residual average time series is taken as the deviation limit, and the fault warning threshold of the elevator door lock contact switch is determined according to the deviation limit and the threshold coefficient; wherein, the threshold coefficient is determined by the contact failure criterion in the international standard.
2. The method according to claim 1, characterized in that, The step of performing a differential operation on the voltage value to obtain the voltage change value includes the following steps: The voltage values are sorted according to the recording time to obtain a sequence of voltage values; The voltage change value is obtained by calculating the difference between two adjacent voltage values in the sequence.
3. The method according to claim 1, characterized in that, The process of obtaining an equation containing a smoothing factor based on the estimated voltage change value and the exponential smoothing prediction model, and then iteratively estimating the smoothing factor by minimizing the sum of squared residuals to obtain the fault prediction model, includes the following steps: Substituting the estimated voltage change value into the exponential smoothing prediction model yields an equation that includes a smoothing factor; After substituting the equation containing the smoothing factor into the criterion for minimizing the sum of squared residuals, the smoothing factor is iteratively estimated based on the criterion for minimizing the sum of squared residuals to obtain the optimal smoothing factor. The fault prediction model is obtained based on the optimal smoothing factor.
4. The method according to claim 3, characterized in that, The expression for the exponential smoothing prediction model is: ; in, In the first Estimates of voltage changes at points in time. As a smoothing factor, In the first The actual value of the voltage change at a given time point. In the first The estimated value of the voltage change at a given time point.
5. The method according to claim 4, characterized in that, The expression for the criterion for minimizing the sum of squared residuals is: ; in, To minimize the sum of squared residuals, To minimize the initial term of the sum of squared residuals, The initial term representing minimizing the sum of squared residuals is: , This represents the number of voltage changes.
6. The method according to claim 1, characterized in that, After the step of determining the fault warning threshold of the elevator door lock contact switch based on the fault prediction model and the sliding window statistical method, the method further includes the following steps: The fault prediction model is used to predict the voltage change across the step-down resistor in the elevator door lock circuit, and a second predicted value of the voltage change is obtained. The difference between the second predicted value of the voltage change and the voltage change value is calculated to obtain the second residual time series of the fault prediction model; The sliding window statistical method is used to slide the model over the second residual time series of the fault prediction model and calculate the average value within the window under the second residual time series. If the average value within the second residual time window exceeds the fault warning threshold, a fault warning is issued for the elevator door lock contact switch; wherein the fault warning is issued by light or sound.
7. A system for implementing a fault warning method for an elevator door lock contact switch as described in any one of claims 1-6, characterized in that, The system includes: The first module is used to measure the voltage across the step-down resistor in the elevator door lock circuit using an automatic voltage measuring device. The second module is used to record the voltage value across the step-down resistor at preset time intervals. The third module is used to perform differential calculations on the voltage value to obtain the voltage change value; The fourth module is used to provide an initial estimate of the voltage change value and determine an estimated value of the voltage change value based on the initial estimate of the voltage change value. The fifth module is used to obtain an equation containing a smoothing factor based on the estimated value of the voltage change and the exponential smoothing prediction model, and to iteratively estimate the smoothing factor by combining the criterion of minimizing the sum of squared residuals to obtain a fault prediction model. The sixth module is used to determine the fault warning threshold of the elevator door lock contact switch based on the fault prediction model and the sliding window statistical method, and to provide fault warning for the elevator door lock contact switch based on the fault warning threshold.
8. An electronic device, characterized in that, include: At least one processor; At least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the method as described in any one of claims 1-6.
9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 6.
Citation Information
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