Fault detection device of push chain household elevator automatic door

Abstract

The invention discloses a fault detection device, method, equipment and system for an automatic door of a push chain household elevator. According to the technical scheme provided by the invention, in the device, a data acquisition module is used for acquiring position information of the automatic door and motor operation torque information of the automatic door of the household elevator; the data analysis module is used for analyzing the obtained motor torque information to obtain a data analysis result; the mode selection module is used for selecting an operation mode corresponding to the current automatic door according to the data analysis result; and the operation processing module is used for performing corresponding operation according to the operation model corresponding to the current automatic door. By automatically monitoring and analyzing the operation condition of the motor of the elevator automatic door, the adaptive operation mode is scientifically selected, and fault warning, fault point searching and processing resetting are accurately and quickly carried out based on the analysis result, so that the fault rate and the required maintenance time of the automatic door are greatly reduced, and the working efficiency is improved. And the safety of the automatic elevator door is improved.

Description

Technical Field

[0001] The present invention relates to the field of vertical lifts, and in particular to a fault detection device, method, computing equipment and system for a push-chain household elevator automatic door. Background Art

[0002] With the continuous development of the economy and society, elevators have become extremely common supporting facilities in various types of residences. Furthermore, in a home environment with a better living environment, home elevators have gradually become standard equipment for multi-story residences or villas because of their compactness and convenience. Among them, the elevator doors of push chain home elevators are divided into manual doors and automatic doors. The manual doors need to be manually opened after the home elevator leveling signal is given, while the automatic doors automatically open the elevator doors after receiving the leveling signal.

[0003] Manual doors are usually more complicated to operate and less safe, so automatic doors are a more common choice. However, the automatic doors of common push-chain home elevators will also fail to open or close during repeated opening and closing, and the failure rate is high. In this process, passengers or their belongings may be caught, causing personal injury and property loss, and safety is also greatly negatively affected. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a push-chain home elevator automatic door fault detection device and a corresponding push-chain home elevator automatic door fault detection method, computing equipment and computer storage medium.

[0005] According to one aspect of the present invention, a push chain home elevator automatic door fault detection device is provided, which at least includes: a data acquisition module, a data analysis module, a mode selection module and an operation processing module; wherein,

[0006] The data acquisition module is used to obtain the automatic door position information and the motor running torque information of the home elevator automatic door;

[0007] The data analysis module is used to analyze the acquired motor torque information to obtain data analysis results;

[0008] The mode selection module is used to select the operation mode corresponding to the current automatic door according to the data analysis result;

[0009] The operation processing module is used to perform corresponding operations according to the operation model corresponding to the current automatic door.

[0010] In the above scheme, the torque information of the home elevator automatic door motor includes at least the rated operating torque, multiple actual operating torques and the corresponding theoretical operating torque;

[0011] The data acquisition module is further used for:

[0012] Install a fan-shaped gear disc on the door column of the automatic door;

[0013] Use a micro-beam sensor to detect the gap between the fan-shaped gear discs and obtain the position information of the automatic door of the home elevator.

[0014] Based on the preset cycle and automatic door opening time, multiple actual operating torques are obtained.

[0015] In the above solution, the data analysis module is further used to:

[0016] Generate a first array based on the acquired multiple actual operating torques;

[0017] Using an arithmetic mean value algorithm and a maximum value algorithm, for the first array, the torque average value and the torque maximum value are calculated, and a second array is generated according to the torque average value and the torque maximum value;

[0018] Based on the second array and the theoretical operating torque, a third array is generated, and the theoretical torque coefficient is calculated according to the first preset weight coefficient;

[0019] Based on the second array and the rated operating torque, a fourth array is generated, and the rated torque coefficient is calculated according to the second preset weight coefficient;

[0020] Obtain multiple theoretical torque coefficients and rated torque coefficients and generate data analysis results.

[0021] In the above solution, the data analysis module is further used to:

[0022] Calculate the ratio of the second array members to the theoretical operating torque to obtain the third array

[0023] T a3 =[T a31 , T a32 ]=[|T oe / T t |,|T om / T t |]

[0024] Among them, T a3 is the third array; T oe is the arithmetic mean of the actual operating torque; T t is the theoretical operating torque; T om is the maximum value of the actual operating torque;

[0025] The theoretical torque coefficient is

[0026] P t =α×T a31+(1-α)×T a32

[0027] Among them, P t is the theoretical torque coefficient; α is the first preset weight coefficient; T a31 , T a32 are the items in the third array respectively;

[0028] Calculate the ratio of the second array members to the rated operating torque to obtain the fourth array

[0029] T a4 =[T a41 , T a42 ]=[|T oe / T r |,|T om / T r |]

[0030] Among them, T a4 is the fourth array; T r is the rated operating torque;

[0031] The rated torque coefficient is

[0032] P r =β×T a41 +(1-β)×T a42

[0033] Among them, P r is the rated torque coefficient; β is the second preset weight coefficient; T a41 , T a42 are the items in the fourth array respectively.

[0034] In the above solution, the mode selection module is further used to:

[0035] According to the relationship between the theoretical torque coefficient, the rated torque coefficient and the preset threshold in the data analysis results, the corresponding operation mode is selected; wherein,

[0036] The initial operation mode is the normal mode. When the theoretical torque coefficient is less than the preset threshold, the normal mode is maintained.

[0037] When the theoretical torque coefficient is greater than a preset threshold, the operation mode is switched to the first alarm mode;

[0038] When the rated torque coefficient is greater than the preset threshold, the operating mode is switched to the second alarm mode.

[0039] In the above solution, the mode selection module is further used to:

[0040] When the operation mode is in the first alarm mode, the theoretical torque coefficient is calculated multiple times, and the corresponding multiple theoretical torque coefficients are compared with the preset threshold value, the number of alarms when the theoretical torque coefficient is greater than the preset threshold value is counted, and it is determined whether the number of alarms exceeds the preset number, and / or whether the rated torque coefficient is greater than the preset threshold value;

[0041] If the number of alarms exceeds a preset number, and / or the rated torque coefficient is greater than a preset threshold, the operation mode is switched to a second alarm mode;

[0042] If the theoretical torque coefficient is less than the preset threshold, the operating mode is switched to the normal mode.

[0043] In the above solution, the operation processing module is further used to:

[0044] When the operation mode is the first alarm mode, the automatic door motor speed is automatically reduced to the lowest speed;

[0045] When the operation mode is the second alarm mode, the automatic door motor speed is automatically reduced to the lowest speed, and the actual operating torque is monitored to automatically find the fault point of the automatic door;

[0046] When the actual operating torque is at the maximum value, the corresponding automatic door position is determined as the automatic door failure point. When the actual operating torque is at the maximum value, the motor is stopped and the door shaft clearance is adjusted.

[0047] According to another aspect of the present invention, a method for detecting a fault of a push chain home elevator automatic door is provided, comprising:

[0048] Get the automatic door position information and the home elevator automatic door motor torque information;

[0049] Analyze the acquired motor torque information to obtain data analysis results;

[0050] According to the data analysis results, select the operation mode corresponding to the current automatic door;

[0051] Perform corresponding operations according to the operating model corresponding to the current automatic door.

[0052] According to another aspect of the present invention, there is provided a computing device, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus;

[0053] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute operations that can be achieved by the above-mentioned push-chain home elevator automatic door fault detection device.

[0054] According to another aspect of the present invention, a fault detection device for a push chain home elevator automatic door is provided, comprising at least: a controller, an automatic door motor, a fan-shaped toothed disc, a position detection module, a processor and a fault reset module; wherein,

[0055] The controller is used to control the operation of the automatic door motor and obtain the motor operation torque information;

[0056] The automatic door motor is coupled to the fan-shaped gear disc to drive the automatic door to operate;

[0057] The position detection module is used to monitor the sector gear disc through a through-beam sensor to determine the position information of the automatic door;

[0058] The processor is used to perform data analysis on the acquired motor operating torque information, calculate the arithmetic mean and maximum value of the actual operating torque, calculate the torque coefficient, determine the operating mode, and determine the operating processing method;

[0059] The fault resetting module is used to process and reset the fault according to the operation processing mode determined by the processor when in the alarm mode.

[0060] According to the technical solution provided by the present invention, the push chain home elevator automatic door fault detection device at least includes: a data acquisition module, a data analysis module, a mode selection module and an operation processing module; wherein the data acquisition module is used to obtain the automatic door position information and the motor operation torque information of the home elevator automatic door; the data analysis module is used to analyze the acquired motor torque information to obtain the data analysis result; the mode selection module is used to select the operation mode corresponding to the current automatic door according to the data analysis result; the operation processing module is used to perform corresponding operations according to the operation model corresponding to the current automatic door. By acquiring the motor torque information of the motor that realizes the opening and closing of the elevator automatic door, and then monitoring the fan-shaped toothed disc by setting a sensor, the position information of the position of the automatic door at each moment is accurately determined; then, the actual operating torque in the acquired motor torque information is used, combined with the theoretical operating torque and rated operating torque of the motor itself, data analysis is performed, and an absolute average value algorithm that can eliminate torque interference signals that may occur during the operation of the automatic door is adopted. According to the different importance of automatic door alarm, the weighted coefficients of average torque and maximum torque are set scientifically and reasonably, and accurate theoretical torque coefficient and rated torque coefficient are calculated, and compared with preset threshold values ​​based on this, and the corresponding operation mode is accurately determined according to the comparison result; according to the processing methods under the preset operation modes, in the first alarm mode, the automatic door of the elevator is operated at a low speed. While ensuring safety by reducing the operating speed, further monitoring is carried out to determine whether the automatic door has a fault, and after the judgment is completed, it is converted to a normal mode without fault or a second alarm mode with a fault. In the second alarm mode, the automatic door of the elevator is operated at an extremely low speed, so as to accurately determine the location of the fault point by combining the actual torque coefficient and the automatic door position information, so that the elevator can automatically perform fault detection, and accurately determine the operation status through the calculation of the torque coefficient, and perform reasonable processing, which greatly improves the safety of the operation process, reduces the failure rate, and ensures the personal and property safety of the passengers. At the same time, the specific location of the fault point is accurately determined, which greatly shortens the maintenance time of the elevator, is conducive to the staff to carry out subsequent maintenance and reset processing, and greatly improves the experience of the passengers and related staff.

[0061] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0062] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0064] Figure 1 It shows a structural block diagram of a push chain home elevator automatic door fault detection device according to one embodiment of the present invention;

[0065] Figure 2 A schematic diagram of a sector-shaped toothed disc according to an embodiment of the present invention is shown;

[0066] Figure 3 A schematic flow chart of a method for torque analysis and coefficient determination for an automatic door motor according to an embodiment of the present invention is shown;

[0067] Figure 4 A schematic flow chart of a method for selecting an operating mode of an automatic door of a home elevator according to an embodiment of the present invention is shown;

[0068] Figure 5 A schematic flow chart of a method for detecting a fault of a push chain home elevator automatic door according to an embodiment of the present invention is shown;

[0069] Figure 6 A schematic structural diagram of a computing device according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0070] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0071] Figure 1 The structure block diagram of a push chain home elevator automatic door fault detection device according to an embodiment of the present invention is shown, the system comprises: a data acquisition module 101, a data analysis module 102, a mode selection module 103 and an operation processing module 104; wherein,

[0072] The data acquisition module 101 acquires the position information of the automatic door and the motor running torque information of the automatic door of the home elevator.

[0073] Preferably, the torque information of the home elevator automatic door motor includes at least: a rated operating torque, multiple actual operating torques and a corresponding theoretical operating torque.

[0074] Among them, the rated operating torque is a parameter inherent to the motor. After measuring the actual operating torque, the corresponding theoretical operating torque can be calculated based on parameters such as angular momentum and motor power corresponding to the actual operating torque. The specific calculation method does not need to be repeated here.

[0075] Specifically, a fan-shaped gear disc is installed on the door column of the automatic door;

[0076] Use a micro-beam sensor to detect the gap between the fan-shaped gear discs and obtain the position information of the automatic door of the home elevator.

[0077] Based on the preset cycle and automatic door opening time, multiple actual operating torques are obtained.

[0078] Preferably, the fan-shaped toothed disc has 12 openings, corresponding to 90 degrees of the automatic door shaft. Figure 2 As shown, Figure 2 A schematic diagram of a sector-shaped toothed disc according to an embodiment of the present invention is shown, wherein the width of each opening of the sector-shaped toothed disc is 2.5 mm.

[0079] The data analysis module 102 is used to analyze the acquired motor torque information to obtain data analysis results.

[0080] The mode selection module 103 is used to select the operation mode corresponding to the current automatic door according to the data analysis result.

[0081] The operation processing module 104 is used to perform corresponding operations according to the operation model corresponding to the current automatic door.

[0082] According to the present embodiment, a push-chain home elevator automatic door fault detection device is provided, comprising: a data acquisition module, a data analysis module, a mode selection module and an operation processing module; wherein the data acquisition module is used to acquire the automatic door position information and the motor operation torque information of the home elevator automatic door; the data analysis module is used to analyze the acquired motor torque information to obtain the data analysis result; the mode selection module is used to select the operation mode corresponding to the current automatic door according to the data analysis result; the operation processing module is used to perform corresponding operations according to the operation model corresponding to the current automatic door. A push-chain home elevator automatic door fault detection device provided by the present embodiment obtains the motor torque information of the motor that realizes the opening and closing of the elevator automatic door, and then monitors the fan-shaped gear disk by setting a sensor to accurately determine the position information of the automatic door at each moment; then, the actual operating torque in the obtained motor torque information is combined with the theoretical operating torque and rated operating torque of the motor itself to perform data analysis, and the corresponding operating mode is accurately determined based on the analysis results, and the processing method under each preset operating mode is used, so that the elevator can automatically perform fault detection, and accurately determine the operating status by calculating the torque coefficient, and perform reasonable processing, which greatly improves the safety of the operation process, reduces the failure rate, and protects the personal and property safety of the passengers, thereby greatly improving the experience of the passengers and related staff.

[0083] Figure 3 FIG. 1 shows a flow chart of a method for torque analysis and coefficient determination for an automatic door motor according to an embodiment of the present invention. Figure 3 As shown, the method comprises the following steps:

[0084] Step S301: Generate a first array based on a plurality of acquired actual operating torques.

[0085] Preferably, the actual operating torque T of the home elevator automatic door motor is obtained. o , generate the first array T a1

[0086] T a1 =[T o1 , ..., T oi ]

[0087] Among them, T o1 , ..., T oi are multiple actual operating torques; i is the maximum value of the elevator door operating time.

[0088] Step S302 , using an arithmetic mean value algorithm and a maximum value algorithm, for the first array, calculate the torque average value and the torque maximum value, and generate a second array according to the torque average value and the torque maximum value.

[0089] Preferably, the average torque T oe for

[0090]

[0091] Maximum torque T om for

[0092] T om =max[T o1 , ..., T oi ]

[0093] The second array is T a2

[0094] T a2 =[T oe , T om ].

[0095] Step S303, generating a third array based on the second array and the theoretical operating torque, and calculating the theoretical torque coefficient according to the first preset weight coefficient.

[0096] Specifically, the ratio of the second array members to the theoretical operating torque is calculated to obtain the third array

[0097] T a3 =[T a31, T a32 ]=[|T oe / T t |,|T om / T t |]

[0098] Among them, T a3 is the third array; T oe is the arithmetic mean of the actual operating torque; T t is the theoretical operating torque; T om is the maximum value of the actual operating torque;

[0099] The theoretical torque coefficient is

[0100] P t =α×T a31 +(1-α)×T a32

[0101] Among them, P t is the theoretical torque coefficient; α is the first preset weight coefficient; T a31 , T a32 are the items in the third array respectively.

[0102] Preferably, based on the first array corresponding to the second array members, parameters for calculating the theoretical operating torque are determined, and the theoretical operating torque is derived therefrom. The specific calculation method is not described in detail here.

[0103] Step S304, generating a fourth array based on the second array and the rated operating torque, and calculating the rated torque coefficient according to the second preset weight coefficient.

[0104] Specifically, the ratios of the second array members to the rated operating torque are calculated respectively to obtain the fourth array

[0105] T a4 =[T a41 , T a42 ]=[|T oe / T r |,|T om / T r |]

[0106] Among them, T a4 is the fourth array; T r is the rated operating torque;

[0107] The rated torque coefficient is

[0108] P r =β×T a41 +(1-β)×T a42

[0109] Among them, P ris the rated torque coefficient; β is the second preset weight coefficient; T a41 , T a42 They are respectively items in the fourth array.

[0110] Step S305, obtaining multiple theoretical torque coefficients and rated torque coefficients, and generating data analysis results.

[0111] According to the above method, the actual operating torque in the obtained motor torque information is combined with the theoretical operating torque and rated operating torque of the motor itself to perform data analysis to obtain data analysis results, and the theoretical torque coefficient and rated torque coefficient are set and calculated scientifically and reasonably, so that the corresponding operating mode can be accurately determined based on this in the future, which greatly improves the accuracy of determining the operating mode, thereby improving the safety of the operation process, reducing the failure rate, and ensuring the personal and property safety of the passengers.

[0112] Figure 4 FIG. 1 is a flow chart showing a method for selecting an operating mode of an automatic door of a home elevator according to an embodiment of the present invention. Figure 4 As shown, the method includes:

[0113] Step S401, obtaining data analysis results, and determining the theoretical torque coefficient and the rated torque coefficient.

[0114] Preferably, the initial operation mode is the normal mode.

[0115] Step S402, determining whether the rated torque coefficient is greater than a preset threshold.

[0116] Specifically, if yes, execute step S406; if no, execute step S403.

[0117] Preferably, the preset threshold is 1 based on the automatic door status.

[0118] Step S403, determining whether the theoretical torque coefficient is greater than a preset threshold.

[0119] Specifically, if yes, execute step S404; if no, execute step S405.

[0120] Preferably, the preset threshold is 1.

[0121] Step S404, switches the operation mode to the first alarm mode, and calculates the theoretical torque coefficient multiple times, compares the corresponding multiple theoretical torque coefficients with the preset threshold, counts the number of alarms when the theoretical torque coefficient is greater than the preset threshold, determines whether the number of alarms exceeds the preset number, and / or determines whether the rated torque coefficient is greater than the preset threshold.

[0122] Specifically, if the number of alarms exceeds the preset number, and / or the rated torque coefficient is greater than the preset threshold, execute step S406; if the number of alarms does not exceed the preset number, and the rated torque coefficient is not greater than the preset threshold, execute step S407.

[0123] Preferably, when the operating mode is the first alarm mode, the operating speed of the automatic door motor is automatically reduced to a low operating speed; wherein, the low operating speed may be 50% of the normal automatic door motor operating speed, and the normal elevator automatic door opening / closing time may be 3s, then the opening / closing time corresponding to the low operating speed is 6s.

[0124] Preferably, the preset number of times may be 5 times.

[0125] Step S405, maintaining the operation mode as the normal mode.

[0126] Step S406, switching the operation mode to the second alarm mode.

[0127] Step S407, maintaining the operation mode as the first alarm mode.

[0128] Preferably, when the operation mode is the second alarm mode, the operation speed of the automatic door motor is automatically reduced to an extremely low operation speed, and the actual operation torque is monitored to automatically find the fault point of the automatic door; wherein,

[0129] When the actual operating torque is at the maximum value, the corresponding automatic door position is determined as the automatic door failure point. When the actual operating torque is at the maximum value, the motor is stopped to adjust the door shaft clearance.

[0130] Among them, the extremely low operating speed can be 10% of the normal automatic door motor operating speed, and the normal elevator automatic door opening / closing time can be 3s, then the opening / closing time corresponding to the extremely low operating speed is 30s.

[0131] Step S408, completing fault detection and fault repair of the home elevator automatic door.

[0132] According to the above method, based on the theoretical torque coefficient and the rated torque coefficient, a comparison is made with the preset threshold value, and the corresponding operation mode is accurately determined according to the comparison result; according to the processing method under each preset operation mode, in the first alarm mode, the elevator automatic door is operated at a low speed. While ensuring safety by reducing the operating speed, further monitoring is performed to determine whether the automatic door has a fault, and after the judgment is completed, it is converted to a normal mode without a fault or a second alarm mode with a fault. In the second alarm mode, the elevator automatic door is operated at an extremely low speed, so as to accurately determine the location of the fault point by combining the actual torque coefficient and the automatic door position information, so that the elevator can automatically perform fault detection, and accurately determine the operation status by calculating the torque coefficient, and perform reasonable processing, which greatly improves the safety of the operation process, reduces the failure rate, and ensures the personal and property safety of the passengers. At the same time, the specific location of the fault point is accurately determined, which greatly shortens the maintenance time of the elevator, is conducive to the staff to carry out subsequent maintenance and reset processing, and greatly improves the experience of the passengers and related staff.

[0133] Figure 5 A schematic flow chart of a method for detecting a fault of a push chain home elevator automatic door according to an embodiment of the present invention is shown;

[0134] like Figure 5 As shown, the method comprises the following steps:

[0135] Step S501, obtaining automatic door position information and home elevator automatic door motor torque information.

[0136] Preferably, the torque information of the home elevator automatic door motor includes at least a rated operating torque, multiple actual operating torques and a corresponding theoretical operating torque.

[0137] Specifically, the push chain home elevator automatic door fault detection method further includes:

[0138] Install a fan-shaped gear disc on the door column of the automatic door;

[0139] Use a micro-beam sensor to detect the gap between the fan-shaped gear discs and obtain the position information of the automatic door of the home elevator.

[0140] Based on the preset cycle and automatic door opening time, multiple actual operating torques are obtained.

[0141] Step S502: Analyze the acquired motor torque information to obtain data analysis results.

[0142] Specifically, based on the obtained multiple actual operating torques, a first array is generated;

[0143] Using an arithmetic mean value algorithm and a maximum value algorithm, for the first array, the torque average value and the torque maximum value are calculated, and a second array is generated according to the torque average value and the torque maximum value;

[0144] Based on the second array and the theoretical operating torque, a third array is generated, and the theoretical torque coefficient is calculated according to the first preset weight coefficient;

[0145] Based on the second array and the rated operating torque, a fourth array is generated, and the rated torque coefficient is calculated according to the second preset weight coefficient;

[0146] Obtain multiple theoretical torque coefficients and rated torque coefficients and generate data analysis results.

[0147] Preferably, the ratio of the second array members to the theoretical operating torque is calculated respectively to obtain the third array

[0148] T a3 =[T a31 , T a32 ]=[|T oe / T t |,|T om / T t |]

[0149] Among them, T a3 is the third array; T oe is the arithmetic mean of the actual operating torque; T t is the theoretical operating torque; T om is the maximum value of the actual operating torque;

[0150] The theoretical torque coefficient is

[0151] P t =α×T a31 +(1-α)×T a32

[0152] Among them, P t is the theoretical torque coefficient; α is the first preset weight coefficient; T a31 , T a32 are the items in the third array respectively;

[0153] Calculate the ratio of the second array members to the rated operating torque to obtain the fourth array

[0154] T a4 =[T a41 , T a42 ]=[|T oe / T r |,|T om / T r |]

[0155] Among them, Ta4 is the fourth array; T r is the rated operating torque;

[0156] The rated torque coefficient is

[0157] P r =β×T a41 +(1-β)×T a42

[0158] Among them, P r is the rated torque coefficient; β is the second preset weight coefficient; T a41 , T a42 They are respectively items in the fourth array.

[0159] Step S503: Select the operation mode corresponding to the current automatic door according to the data analysis result.

[0160] Specifically, according to the relationship between the theoretical torque coefficient, the rated torque coefficient and the preset threshold in the data analysis results, the corresponding operation mode is selected; wherein,

[0161] The initial operation mode is the normal mode. When the theoretical torque coefficient is less than the preset threshold, the normal mode is maintained.

[0162] When the theoretical torque coefficient is greater than a preset threshold, the operation mode is switched to the first alarm mode;

[0163] When the rated torque coefficient is greater than the preset threshold, the operating mode is switched to the second alarm mode.

[0164] Specifically, when the operation mode is in the first alarm mode, the theoretical torque coefficient is calculated multiple times, and the corresponding multiple theoretical torque coefficients are compared with the preset threshold value, the number of alarms when the theoretical torque coefficient is greater than the preset threshold value is counted, and it is determined whether the number of alarms exceeds the preset number, and / or it is determined whether the rated torque coefficient is greater than the preset threshold value;

[0165] If the number of alarms exceeds a preset number, and / or the rated torque coefficient is greater than a preset threshold, the operation mode is switched to a second alarm mode;

[0166] If the theoretical torque coefficient is less than the preset threshold, the operating mode is switched to the normal mode.

[0167] Step S504, performing corresponding operations according to the operation model corresponding to the current automatic door.

[0168] Specifically, when the operation mode is the first alarm mode, the operation speed of the automatic door motor is automatically reduced to a low operation speed;

[0169] When the operation mode is the second alarm mode, the automatic door motor speed is automatically reduced to the lowest speed, and the actual operating torque is monitored to automatically find the fault point of the automatic door;

[0170] When the actual operating torque is at the maximum value, the corresponding automatic door position is determined as the automatic door failure point. When the actual operating torque is at the maximum value, the motor is stopped and the door shaft clearance is adjusted.

[0171] According to a push chain home elevator automatic door fault detection method provided by this embodiment, the automatic door position information and the home elevator automatic door motor torque information are obtained; the motor torque information obtained is analyzed to obtain data analysis results; according to the data analysis results, the operation mode corresponding to the current automatic door is selected; according to the operation model corresponding to the current automatic door, the corresponding operation is performed. According to a push chain home elevator automatic door fault detection method provided by this embodiment, by obtaining the motor torque information of the motor that realizes the opening and closing of the elevator automatic door, and then by setting a sensor to monitor the fan-shaped toothed disc, the position information of the automatic door at each moment is accurately determined; then, the actual operating torque in the obtained motor torque information is combined with the theoretical operating torque and rated operating torque of the motor itself to perform data analysis, and an absolute average value algorithm that can eliminate torque interference signals that may occur during the operation of the automatic door is adopted. According to the different importance of the automatic door alarm, the weighting coefficients of the average torque and the maximum torque are set scientifically and reasonably, and the accurate theoretical torque coefficient and the rated torque coefficient are calculated. Based on this, a comparison is made with the preset threshold value, and the corresponding operating mode is accurately determined according to the comparison result; according to the processing method under each preset operating mode, in the first alarm mode, the elevator automatic door is operated at a low speed. While ensuring safety by reducing the operating speed, further monitoring is carried out to determine whether the automatic door has a fault, and after the judgment is completed, it is converted to a fault-free normal mode or a faulty second alarm mode. In the second alarm mode, the elevator automatic door is operated at an extremely low speed. In this way, the position of the fault point is accurately determined by combining the actual torque coefficient and the automatic door position information, so that the elevator can automatically perform fault detection, and accurately determine the operating status through the calculation of the torque coefficient, and perform reasonable processing, which greatly improves the safety of the operation process, reduces the failure rate, and protects the personal and property safety of the passengers. At the same time, the specific location of the fault point is accurately determined, which greatly shortens the maintenance time of the elevator, is conducive to the staff to carry out subsequent maintenance and reset processing, and greatly improves the experience of the passengers and related staff.

[0172] The present invention also provides a non-volatile computer storage medium, which stores at least one executable instruction, and the executable instruction can execute the operations that can be achieved by a push-chain home elevator automatic door fault detection device in any of the above-mentioned device embodiments.

[0173] Figure 6 A schematic diagram of the structure of a computing device according to an embodiment of the present invention is shown. The specific embodiment of the present invention does not limit the specific implementation of the computing device.

[0174] like Figure 6 As shown, the computing device may include: a processor (processor) 602 , a communication interface (Communications Interface) 604 , a memory (memory) 606 , and a communication bus 608 .

[0175] in:

[0176] The processor 602 , the communication interface 604 , and the memory 606 communicate with each other via a communication bus 608 .

[0177] The communication interface 604 is used to communicate with other devices such as clients or other servers.

[0178] The processor 602 is used to execute the program 610, and specifically can execute the relevant operations that can be implemented in the above-mentioned push-chain home elevator automatic door fault detection device embodiment.

[0179] Specifically, the program 610 may include program codes, and the program codes include computer operation instructions.

[0180] The processor 602 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention. The one or more processors included in the computing device may be processors of the same type, such as one or more CPUs; or may be processors of different types, such as one or more CPUs and one or more ASICs.

[0181] The memory 606 is used to store the program 610. The memory 606 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0182] Program 610 can be specifically used to enable processor 602 to perform the relevant operations that can be implemented in the above-mentioned push chain home elevator automatic door fault detection device embodiment. The specific implementation of each step in program 610 can refer to the description of the relevant operations that can be implemented by a push chain home elevator automatic door fault detection device in any of the above-mentioned system embodiments, which will not be repeated here. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described equipment and modules can refer to the description of the operating process implemented in the aforementioned system embodiment, which will not be repeated here.

[0183] The algorithm and display provided herein are not inherently related to any particular computer, virtual system or other device. Various general purpose systems can also be used together with the teachings based on this. According to the above description, it is obvious that the structure required for constructing such systems. In addition, the present invention is not directed to any specific programming language either. It should be understood that various programming languages ​​can be utilized to realize the content of the present invention described herein, and the description of the above specific languages ​​is for disclosing the best mode of the present invention.

[0184] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0185] Similarly, it should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting the intention that the claimed invention requires more features than those expressly recited in each claim. Rather, as reflected in the claims, inventive aspects lie in less than all of the features of the individual embodiments previously disclosed. Therefore, the claims that follow the detailed description are hereby expressly incorporated into the detailed description, with each claim itself serving as a separate embodiment of the present invention.

[0186] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and in addition they may be divided into a plurality of submodules or subunits or subcomponents. Except that at least some of such features and / or processes or units are mutually exclusive, all features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed in this manner may be combined in any combination. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature providing the same, equivalent or similar purpose.

[0187] In addition, those skilled in the art will appreciate that, although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features of different embodiments is meant to be within the scope of the present invention and form different embodiments. For example, in the claims, any one of the claimed embodiments may be used in any combination.

[0188] The various component embodiments of the present invention can be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It should be understood by those skilled in the art that a microprocessor or digital signal processor (DSP) can be used in practice to implement some or all of the functions of some or all of the components in the embodiments of the present invention. The present invention can also be implemented as a device or apparatus program (e.g., computer program and computer program product) for executing part or all of the methods described herein. Such a program implementing the present invention can be stored on a computer-readable medium, or can have the form of one or more signals. Such a signal can be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0189] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A fault detection device for a push chain home elevator automatic door, comprising at least: Data acquisition module, data analysis module, mode selection module and operation processing module; wherein, The data acquisition module is used to obtain the automatic door position information and the motor running torque information of the home elevator automatic door; The data analysis module is used to analyze the acquired motor torque information to obtain data analysis results; The mode selection module is used to select the operation mode corresponding to the current automatic door according to the data analysis result; The operation processing module is used to perform corresponding operations according to the operation model corresponding to the current automatic door.

2. The fault detection device for the push chain home elevator automatic door according to claim 1 is characterized in that: The torque information of the home elevator automatic door motor includes at least the rated operating torque, multiple actual operating torques and the corresponding theoretical operating torque; The data acquisition module is further used for: Install a fan-shaped gear disc on the door column of the automatic door; Use a micro-beam sensor to detect the gap between the fan-shaped gear discs and obtain the position information of the automatic door of the home elevator. Based on the preset cycle and automatic door opening time, multiple actual operating torques are obtained.

3. The fault detection device for the push chain home elevator automatic door according to claim 1 or 2, characterized in that: The data analysis module is further used for: Generate a first array based on the acquired multiple actual operating torques; Using an arithmetic mean value algorithm and a maximum value algorithm, for the first array, the torque average value and the torque maximum value are calculated, and a second array is generated according to the torque average value and the torque maximum value; Based on the second array and the theoretical operating torque, a third array is generated, and the theoretical torque coefficient is calculated according to the first preset weight coefficient; Based on the second array and the rated operating torque, a fourth array is generated, and the rated torque coefficient is calculated according to the second preset weight coefficient; Obtain multiple theoretical torque coefficients and rated torque coefficients and generate data analysis results.

4. The fault detection device for the push chain home elevator automatic door according to claim 3 is characterized in that: The data analysis module is further used for: Calculate the ratio of the second array members to the theoretical operating torque to obtain the third array T a3 =[T a31 ,T a32 ]=[|T oe / T t |,|T om / T t |] Among them, T a3 is the third array; T oe is the arithmetic mean of the actual operating torque; T t is the theoretical operating torque; T om is the maximum value of the actual operating torque; The theoretical torque coefficient is P t =α×T a31 +(1-a)×T a32 Among them, P t is the theoretical torque coefficient; α is the first preset weight coefficient; T a31 、T a32 They are the items in the third array: Calculate the ratio of the second array members to the rated operating torque to obtain the fourth array T a4 =[T a41 ,T a42 ]=[|T oe / T r |,|T om / T r |] Among them, T a4 is the fourth array; T r is the rated operating torque; The rated torque coefficient is P r =β×T a41 +(1-β)×T a42 Among them, P r is the rated torque coefficient; β is the second preset weight coefficient; T a41 、T a42 are the items in the fourth array respectively.

5. The fault detection device for the push chain home elevator automatic door according to claim 1 is characterized in that: The mode selection module is further used for: According to the relationship between the theoretical torque coefficient, the rated torque coefficient and the preset threshold in the data analysis results, the corresponding operation mode is selected; wherein, The initial operation mode is the normal mode. When the theoretical torque coefficient is less than the preset threshold, the normal mode is maintained. When the theoretical torque coefficient is greater than a preset threshold, the operation mode is switched to the first alarm mode; When the rated torque coefficient is greater than the preset threshold, the operating mode is switched to the second alarm mode.

6. The fault detection device for the push chain home elevator automatic door according to claim 1 is characterized in that: The mode selection module is further used for: When the operation mode is in the first alarm mode, the theoretical torque coefficient is calculated multiple times, and the corresponding multiple theoretical torque coefficients are compared with the preset threshold value, the number of alarms when the theoretical torque coefficient is greater than the preset threshold value is counted, and it is determined whether the number of alarms exceeds the preset number, and / or whether the rated torque coefficient is greater than the preset threshold value; If the number of alarms exceeds a preset number, and / or the rated torque coefficient is greater than a preset threshold, the operation mode is switched to a second alarm mode; If the theoretical torque coefficient is less than the preset threshold, the operating mode is switched to the normal mode.

7. The fault detection device for the push chain home elevator automatic door according to claim 1 is characterized in that: The operation processing module is further used for: When the operation mode is the first alarm mode, the automatic door motor speed is automatically reduced to the lowest speed; When the operation mode is the second alarm mode, the automatic door motor speed is automatically reduced to the lowest speed, and the actual operating torque is monitored to automatically find the fault point of the automatic door; When the actual operating torque is at the maximum value, the corresponding automatic door position is determined as the automatic door failure point. When the actual operating torque is at the maximum value, the motor is stopped and the door shaft clearance is adjusted.

8. A method for fault detection of a push chain home elevator automatic door, comprising: Get the automatic door position information and the home elevator automatic door motor torque information; Analyze the acquired motor torque information to obtain data analysis results; According to the data analysis results, select the operation mode corresponding to the current automatic door; Perform corresponding operations according to the operating model corresponding to the current automatic door.

9. A computing device comprising: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute the operations that can be achieved by the fault detection device for push-chain home elevator automatic door as described in any one of claims 1-7.

10. A fault detection device for a push-chain home elevator automatic door, comprising at least: Controller, automatic door motor, fan-shaped gear plate, position detection module, processor and fault reset module; wherein, The controller is used to control the operation of the automatic door motor and obtain the motor operation torque information; The automatic door motor is coupled to the fan-shaped gear disc to drive the automatic door to operate; The position detection module is used to monitor the sector gear disc through a through-beam sensor to determine the position information of the automatic door; The processor is used to perform data analysis on the acquired motor operating torque information, calculate the arithmetic mean and maximum value of the actual operating torque, calculate the torque coefficient, determine the operating mode, and determine the operating processing method; The fault resetting module is used to process and reset the fault according to the operation processing mode determined by the processor when in the alarm mode.

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