Elevator remote monitoring system and monitoring method thereof

By designing a remote elevator monitoring system, using equipment classification modules, operation monitoring modules, fault judgment modules and terminal control modules, real-time monitoring of elevator equipment and fault prediction are achieved, solving the problem of complex functions and low intelligence in the existing technology, and improving the service life and operation safety of elevators.

CN118744921BActive Publication Date: 2025-02-28SHANDONG BUNSE ELEVATOR
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Patent Information

Application Number
CN202410889417.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-07-04
Publication Date
2025-02-28
Estimated Expiration
2044-07-04

AI Technical Summary

Technical Problem

The existing elevator monitoring system has complex functions and low intelligence, and cannot achieve fault prediction and maintenance reminder, resulting in large workloads for elevator maintenance and maintenance and is not conducive to safe operation.

Method used

Design a remote elevator monitoring system, and realize real-time monitoring and fault prediction of elevator equipment through equipment classification module, operation monitoring module, fault judgment module and terminal control module. The system collects data through sensors, combines the use cycle and fault data to determine whether there are any faults or hidden dangers in the equipment, and sends alarm information and location information to the terminal to realize remote maintenance and maintenance.

Benefits of technology

Real-time monitoring and fault prediction of elevator equipment are realized, the work burden of maintenance personnel is reduced, and the service life and operation safety of elevators are improved.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention provides an elevator remote monitoring system and a monitoring method thereof, the system includes: an equipment classification module, an operation monitoring module, a fault judgment module and a terminal control module; the method includes: classifying according to the use cycle and fault data of each device during elevator production to form a first database; monitoring the real-time operation status of each device of the elevator in real time through various sensors, obtaining equipment operation status data, whether there are small objects on the elevator door and the elevator operation speed, and storing them in a second database; judging whether there are faults or hidden dangers in the equipment; receiving fault or hidden danger information, and repairing or maintaining the elevator equipment according to the location information. The present invention realizes the early prediction of faults or hidden dangers, reduces the workload of maintenance personnel, and improves the safety of the elevator monitoring system; real-time monitoring of the elevator equipment can timely understand the working status of the equipment, and realizes the timely prediction of faults or hidden dangers.
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Description

Technical Field

[0001] The present invention relates to the technical field of elevator monitoring, and in particular to an elevator remote monitoring system and a monitoring method thereof. Background Art

[0002] As a kind of transportation equipment, elevators can be seen everywhere in daily work and life. Elevators are divided into two types according to their operation mode: with or without counterweight, and with counterweight. According to their control mode, they are divided into manual control type and automatic control type. In the daily safe operation of elevators, the repair and maintenance of elevators are very critical. However, elevators are only repaired after they fail, and maintenance also requires maintenance personnel to record and carry out, which increases the workload of maintenance personnel and is not conducive to the safe operation of elevators. Although there are monitoring systems or methods at present, their functions are relatively complex and their intelligence level is low, which is not conducive to the long-term safe operation of elevators.

[0003] Prior art 1, elevator intelligent monitoring camera, elevator monitoring system and elevator monitoring method CN201610019542.2, including: lens; video acquisition module and image processing module, collecting environmental images and state images captured by the lens, processing the collected environmental images and state images to form image information and send; video storage module, receiving and storing image information; position sensor; position processing module, collecting the position of the elevator detected by the position sensor, processing to form position information, and sending; illumination sensor, detecting the lighting conditions in the elevator and sending; speed sensor, collecting the running speed of the elevator and sending; central processing module, receiving image information, position information, lighting conditions and running speed in the elevator, analyzing to form and send fault information, or forming and sending fault information, emergency mode information and emergency mode instructions; emergency lighting module, audio processing module, turning on emergency lighting, speakers and microphones according to emergency mode instructions. Although remote monitoring across a large area is achieved, only alarms are realized when elevators fail, and prediction and maintenance reminders cannot be achieved.

[0004] Prior art 2, elevator monitoring method and elevator brake disc monitoring system CN201510856085.8, including: a beam generator emits a test beam, the test beam is irradiated obliquely on the liquid film surface, the part of the beam directly reflected by the liquid film surface is the first beam, the part of the beam that passes through the liquid film and is reflected by the brake disc surface and then passes through the liquid film is the second beam, the detector receives the first beam and the second beam to obtain the positional relationship between the first beam and the second beam, and calculates the thickness of the liquid film according to the positional relationship between the test beam, the first beam, and the second beam, and the refractive characteristics of the liquid film. When the thickness of the liquid film exceeds the preset warning value, the detector sends a stop signal or a standby signal to the elevator. Although the thickness of the liquid film on the surface of the elevator brake disc is monitored to ensure the safety of the elevator operation, the test beam does not damage the brake disc nor affect the normal operation of the brake disc, but only the monitoring of the elevator brake disc is realized, the monitoring object is single, and the monitoring result cannot fully reflect the operating status of the elevator.

[0005] Prior art three, elevator monitoring system CN202010466748.6, including an acquisition module, a communication module, a server and a user terminal; the communication module is connected to the acquisition module and the server respectively, and the server is connected to the user terminal; the acquisition module is used to collect the temperature signal of the elevator traction machine and the humidity signal of the elevator machine room environment, and process the temperature signal into a temperature value and the humidity signal into a humidity value, and the acquisition module is also used to send the temperature value and the humidity value to the communication module; the communication module is used to upload the temperature value and the humidity value to the server; the server is used to push the temperature warning information to the user terminal when the temperature value is greater than the temperature warning value, and is also used to push the humidity warning information to the user terminal when the humidity value is greater than the humidity warning value; the user terminal is used to display the temperature warning information and the humidity warning information. Although the detection of the humidity of the elevator machine room environment has been realized, the elevator equipment has safety hazards, but the operation status of the elevator equipment itself is not monitored, resulting in the elevator equipment still having safety hazards, and it is impossible to realize fault prediction and maintenance reminders.

[0006] At present, the existing technologies 1, 2 and 3 lack monitoring of the elevator equipment itself, which results in maintenance only when a fault occurs, which is time-consuming and labor-intensive and shortens the service life of the elevator; and the intelligence level of the monitoring is low, which is not conducive to shortening the operation time of repair and maintenance; in addition, the existing elevator monitoring system lacks monitoring of slender objects such as pet ropes, resulting in low safety of elevator operation; therefore, the present invention provides an elevator remote monitoring system and a monitoring method thereof, which realizes the monitoring of elevator equipment through the Internet of Things, predicts faults, and promptly notifies maintenance personnel to handle them, which not only prolongs the service life of the elevator, but also improves the safety of operation. Summary of the invention

[0007] In order to solve the above technical problems, the present invention provides an elevator remote monitoring system, comprising:

[0008] The equipment classification module is responsible for classifying the service life and fault data of each equipment during the production of the elevator to form a first database; at the same time, the service life and fault data related to the equipment of the elevator are obtained through a crawler and stored in the first database;

[0009] The operation monitoring module is responsible for monitoring the real-time operation status data of each device of the elevator, whether there are small objects in the elevator door, and the elevator operation speed through various sensors, obtaining the equipment operation status data, the characteristics of small objects, and the elevator operation speed, and storing them in the second database;

[0010] The fault judgment module is responsible for judging whether the equipment has a fault or hidden danger according to the equipment operation status data of the operation monitoring module, the characteristics of the small object and the elevator operation speed, and according to the data of the first database. If there is a fault or hidden danger, the alarm information and location information are sent to the terminal. If there is no fault or hidden danger, the equipment operation status data at the next moment is continued to be judged;

[0011] The terminal control module is responsible for receiving the fault or hidden danger information from the fault judgment module and repairing or maintaining the elevator equipment according to the location information.

[0012] The device classification module of the present invention comprises:

[0013] The label setting submodule is responsible for obtaining the names of all elevator equipment, classifying them according to their functions, and marking them with the first label; the functions include power devices, transmission devices, and detection devices, etc.;

[0014] The data input submodule is responsible for inputting the service life and fault data of the classified equipment. The service life and fault data are preset by the manufacturer.

[0015] The data storage submodule is responsible for using the first tag as a feature and the usage cycle and fault data as content, encrypting the usage cycle and fault data using a public key, decrypting them using a private key, and storing the features and content in the first database.

[0016] The operation monitoring module of the present invention comprises:

[0017] The data sampling submodule is responsible for connecting with various sensors to sample the current operating status data of each device, the characteristics of small objects, and the elevator running speed;

[0018] The sampling node submodule is responsible for obtaining the current running status data, the characteristics of small objects and the sampling nodes of the elevator running speed;

[0019] The state data storage submodule is responsible for obtaining the first label of the device stored in the first database, and storing the current operation state data, the characteristics of small objects and the elevator operation speed in the second database according to different sampling nodes.

[0020] The fault judgment module of the present invention comprises:

[0021] The standard data acquisition submodule is responsible for acquiring the equipment-related service life and fault data of the elevator from the first database, and retrieving the equipment operation status data stored in the second database;

[0022] The fault data comparison submodule is responsible for comparing the operation status data with the fault data in the first database to determine whether the equipment has a fault. If a fault occurs, the fault type is determined and the fault alarm information is sent to the terminal control module;

[0023] The usage cycle data comparison submodule is responsible for comparing the operating status data with the usage cycle data in the first database to determine whether the equipment has reached its usage cycle. If so, an alarm message of hidden danger is sent to the terminal control module.

[0024] The fault judgment module of the present invention further includes:

[0025] The object image acquisition submodule is responsible for acquiring the image of the object entering the elevator through the video detection device;

[0026] The three-dimensional image acquisition submodule is responsible for calculating the object feature quantity related to the object on the image from the current frame of the object image, and obtaining the three-dimensional image of the object according to the object feature quantity;

[0027] The object shape judgment submodule is responsible for obtaining object-related attribute information through three-dimensional images to determine whether the object is a small object such as a pet leash;

[0028] The alarm submodule is responsible for sending out an alarm if the object is a small object. The actor receives the alarm and cleans up the small object.

[0029] The fault judgment module of the present invention further includes:

[0030] The elevator speed acquisition submodule is responsible for collecting the current running speed of the elevator through the speed sensor;

[0031] The speed threshold judgment submodule is responsible for comparing the current running speed with the preset speed threshold. If it is within the preset speed threshold range, it runs at the current running speed. If it exceeds the preset speed threshold, the elevator braking submodule is started;

[0032] The elevator braking submodule is responsible for reducing the current running speed of the elevator to within the preset speed threshold range through the braking device. The braking device includes a guide rail and a brake. The brake is installed on the elevator, and the elevator runs along the guide rail.

[0033] The present invention provides an elevator remote monitoring method, comprising the following steps:

[0034] Classify the use cycle and fault data of each device during elevator production to form a first database; at the same time, obtain the use cycle and fault data related to the elevator equipment through a crawler and store them in the first database;

[0035] Through various sensors, the real-time operating status of each device of the elevator is monitored in real time to obtain the data of the device operating status, whether there are small objects in the elevator door and the elevator running speed, and store them in the second database;

[0036] According to the equipment operation status data, whether there are small objects in the elevator door and the elevator operation speed, it is judged according to the data in the first database whether there is a fault or hidden danger in the equipment. If there is a fault or hidden danger, an alarm message and location information are sent to the terminal. If there is no fault or hidden danger, the equipment operation status data at the next moment is continued to be judged;

[0037] Receive fault or hidden danger information and repair or maintain the elevator equipment according to the location information.

[0038] The process of forming a first database according to the present invention includes:

[0039] Get the names of all the equipment of the elevator, classify them according to their functions, and mark them with the first label;

[0040] Input the service life and failure data of the equipment according to the classification. The service life and failure data are preset by the manufacturer.

[0041] The first tag is used as a feature, and the usage cycle and fault data are used as content. The usage cycle and fault data are encrypted using a public key and decrypted using a private key, and the features and content are stored in the first database.

[0042] The process of collecting equipment operation status data according to the present invention includes:

[0043] Connect with various sensors to sample the current operating status data of each device;

[0044] Get the sampling node of the current running status data;

[0045] The first tag of the device stored in the first database is obtained, and the current operating status data is stored in the second database according to different sampling nodes.

[0046] The process of equipment operation status data involved in the present invention, and the process of determining whether the equipment has a fault or hidden danger, includes:

[0047] Obtaining equipment-related service life and fault data of the elevator from the first database, and retrieving equipment operation status data stored in the second database;

[0048] Compare the running status data with the fault data in the first database to determine whether the equipment has a fault. If a fault occurs, determine the type of the fault and send a fault alarm message to the terminal control module;

[0049] The operation status data is compared with the use cycle data in the first database to determine whether the equipment has reached the use cycle. If the equipment has reached the use cycle, an alarm message of hidden danger is sent to the terminal control module.

[0050] The equipment classification module of the present invention classifies the equipment according to the use cycle and fault data of each equipment during the production of the elevator to form a first database; at the same time, the use cycle and fault data related to the elevator equipment are obtained through a crawler and stored in the first database; the operation monitoring module monitors the real-time operation status of each equipment of the elevator, the characteristics of small objects and the elevator operation speed in real time through various sensors, obtains the equipment operation status data, and stores it in the second database; the fault judgment module judges whether the equipment has a fault or hidden danger based on the equipment operation status data, the characteristics of small objects and the elevator operation speed of the operation monitoring module. If there is a fault or hidden danger, an alarm message and location information are sent to the terminal. If there is no fault or hidden danger, the equipment operation status data at the next moment is continued to be judged; the terminal control module receives the fault or hidden danger information of the fault judgment module, and repairs or maintains the elevator equipment according to the location information. This embodiment classifies equipment according to its use cycle, provides basic data for later equipment fault judgment, realizes early prediction of faults or hidden dangers, reduces the workload of maintenance personnel, and improves the safety of the elevator monitoring system; in order to make up for the problem of incomplete data in the first database, the use cycle and fault data of the network are obtained by crawlers to enrich the first database, which improves the accuracy of elevator monitoring and helps to improve the intelligent control level of monitoring; an operation monitoring module is used to monitor the equipment of the elevator, the characteristics of small objects and the running speed of the elevator in real time, so that the working status of the equipment can be understood in time, and the data can be processed in real time, realizing timely prediction of faults or hidden dangers; the terminal control module communicates remotely with the elevator through the Internet of Things, realizes remote monitoring, and no longer needs to go to the site for detection, which improves the efficiency of eliminating faults or hidden dangers, while reducing the number of maintenance personnel, improving the control level of remote monitoring of the elevator, extending the service life of the elevator, and improving the safety of operation.

[0051] 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, claims, and drawings.

[0052] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] 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:

[0054] Figure 1 This is a block diagram of an elevator remote monitoring system in Embodiment 1 of the present invention;

[0055] Figure 2 This is a block diagram of a device classification module in Embodiment 2 of the present invention;

[0056] Figure 3 This is another block diagram of the device classification module in Embodiment 3 of the present invention;

[0057] Figure 4 This is a block diagram of a device classification module in Embodiment 4 of the present invention;

[0058] Figure 5 This is a block diagram of a fault judgment module in Embodiment 5 of the present invention;

[0059] Figure 6 This is a block diagram of a fault judgment module in Embodiment 6 of the present invention;

[0060] Figure 7 This is a block diagram of a fault judgment module in Embodiment 7 of the present invention;

[0061] Figure 8 This is a block diagram of a fault data comparison submodule in Embodiment 8 of the present invention;

[0062] Fig. 9 This is a flow chart of the elevator remote monitoring method in Embodiment 9 of the present invention;

[0063] Fig.10 is a flow chart of the process of forming the first database in Embodiment 10 of the present invention;

[0064] Fig.11 This is a process flow chart of device operation status data in Example 11 of the present invention;

[0065] Fig.12 This is a process flow chart for determining whether a device has a fault or hidden danger in Example 12 of the present invention. DETAILED DESCRIPTION

[0066] 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. Example 1

[0067] like Figure 1 As shown, an embodiment of the present invention provides an elevator remote monitoring system, comprising:

[0068] The equipment classification module 1 is responsible for classifying the service life and fault data of each equipment during the production of the elevator to form a first database; at the same time, the service life and fault data related to the equipment of the elevator are obtained through a crawler and stored in the first database;

[0069] Operation monitoring module 2 is responsible for monitoring the real-time operation status data of each device of the elevator, whether there are small objects in the elevator door and the elevator running speed through various sensors, obtaining the equipment operation status data, the characteristics of small objects and the elevator running speed, and storing them in the second database;

[0070] The fault judgment module 3 is responsible for judging whether the equipment has a fault or hidden danger according to the equipment operation status data of the operation monitoring module 2, the characteristics of the small object and the elevator operation speed, and according to the data of the first database. If there is a fault or hidden danger, the alarm information and location information are sent to the terminal. If there is no fault or hidden danger, the equipment operation status data at the next moment is continued to be judged;

[0071] The terminal control module 4 is responsible for receiving the fault or hidden danger information from the fault judgment module 3 and repairing or maintaining the elevator equipment according to the location information.

[0072] The working principle and beneficial effects of the above technical scheme are as follows: the equipment classification module of the technical scheme of this embodiment classifies the equipment according to the use cycle and fault data of each equipment during the production of the elevator to form a first database; at the same time, the use cycle and fault data related to the elevator equipment are obtained through the crawler and stored in the first database; the operation monitoring module monitors the real-time operation status of each equipment of the elevator, the characteristics of small objects and the elevator operation speed in real time through various sensors, obtains the equipment operation status data, and stores it in the second database; the fault judgment module judges whether the equipment has a fault or hidden danger based on the equipment operation status data, the characteristics of small objects and the elevator operation speed of the operation monitoring module. If there is a fault or hidden danger, the alarm information and location information are sent to the terminal. If there is no fault or hidden danger, the equipment operation status data at the next moment will continue to be judged; the terminal control module receives the fault or hidden danger information of the fault judgment module, and repairs or maintains the elevator equipment according to the location information. This embodiment classifies equipment according to its use cycle, provides basic data for later equipment fault judgment, realizes early prediction of faults or hidden dangers, reduces the workload of maintenance personnel, and improves the safety of the elevator monitoring system; in order to make up for the problem of incomplete data in the first database, the use cycle and fault data of the network are obtained by crawlers to enrich the first database, which improves the accuracy of elevator monitoring and helps to improve the intelligent control level of monitoring; an operation monitoring module is used to monitor the equipment of the elevator, the characteristics of small objects and the running speed of the elevator in real time, so that the working status of the equipment can be understood in time, and the data can be processed in real time, realizing timely prediction of faults or hidden dangers; the terminal control module communicates remotely with the elevator through the Internet of Things, realizes remote monitoring, and no longer needs to go to the site for detection, which improves the efficiency of eliminating faults or hidden dangers, while reducing the number of maintenance personnel, improving the control level of remote monitoring of the elevator, extending the service life of the elevator, and improving the safety of operation. Example 2

[0073] like Figure 2 As shown, based on Example 1, the device classification module 1 provided in this embodiment of the present invention includes:

[0074] The label setting submodule 1-1 is responsible for obtaining the names of all the equipment of the elevator, classifying them according to their functions, and marking them with the first label; the functions include power devices, transmission devices, and detection devices, etc.;

[0075] Data input submodule 1-2 is responsible for inputting the service life and fault data of the classified equipment, which are preset by the manufacturer;

[0076] The data storage submodule 1-3 is responsible for using the first tag as a feature and the usage cycle and fault data as content, encrypting the usage cycle and fault data using a public key, decrypting them using a private key, and storing the features and content in the first database;

[0077] The working principle and beneficial effects of the above technical solution are as follows: the label setting submodule of the technical solution of this embodiment obtains the names of all the equipment of the elevator, classifies them according to the functions of the equipment, and marks them with a first label; the functions include power devices, transmission devices and detection devices, etc.; the data input submodule inputs the usage cycle and fault data of the classified equipment, and the usage cycle and fault data are preset by the manufacturer; the data storage submodule takes the first label as the feature and the usage cycle and fault data as the content, encrypts the usage cycle and fault data with the public key, decrypts them with the private key, and stores the features and contents in the first database; this embodiment classifies the equipment according to its function and marks the label. Due to the large number of equipment in the elevator, the data is reduced by dividing them according to their functions. The processing quantity of data makes the equipment classification more hierarchical, which is conducive to the input of usage cycle and fault data, and also convenient for maintenance personnel to eliminate faults and hidden dangers in the later stage; the usage cycle and fault data are preset by the manufacturer, and are set by experts according to the specific performance of the equipment, especially for some vulnerable equipment, such as cables and sensors, setting their service life will help to eliminate hidden dangers in advance and improve the safety of elevator operation; according to the characteristics of the first tag, the usage cycle and fault are encrypted and stored in the first database to realize the confidential storage of the usage cycle and fault, avoid the leakage of commercial secrets and technology, and at the same time, maintenance personnel can read the data through the private key corresponding to the public key, which also improves the safety of elevator operation and avoids the occurrence of accidents. Example 3

[0078] like Figure 3 As shown, based on Example 1, the device classification module 1 provided in this embodiment of the present invention further includes:

[0079] The network connection submodule 1-4 is responsible for realizing the connection between the control terminal of the first database and the network, and obtaining the website and keywords expected by the control terminal, where the website and keywords are associated with the use cycle and fault data;

[0080] Data acquisition submodules 1-5 are responsible for acquiring target data, i.e., usage cycle and fault data, by searching keywords, i.e., URLs, on the Internet;

[0081] Time threshold submodules 1-6 are responsible for setting the time point or time period for the control terminal crawler to obtain the target data. The time point is a certain day, month or quarter, and the time period is an interval of several days, weeks or months;

[0082] The working principle and beneficial effects of the above technical scheme are as follows: the network connection submodule of the technical scheme of this embodiment realizes the connection between the control terminal of the first database and the network, and obtains the URL and keywords expected by the control terminal, where the URL and keywords are associated with the usage cycle and fault data; the data acquisition submodule obtains the target data, that is, the usage cycle and fault data, by searching the keyword, that is, the URL, on the network; the time threshold submodule sets the time point or time period for the control terminal crawler to obtain the target data, the time point is a certain day, a certain month or a certain quarter, and the time period is an interval of several days, weeks or months; this embodiment obtains the target data from the network by crawling, thereby realizing the real-time update of the usage cycle and fault data, and avoiding the problem of low elevator safety caused by the long usage cycle and fault data usage cycle; with the assistance of the network connection submodule, the control terminal obtains the target data through the data acquisition submodule, thereby realizing the initiative of target data acquisition, eliminating the tediousness of manual updating, reducing the operation and maintenance costs of the enterprise, and ensuring the real-time nature of the target data, thereby improving the guarantee of safe operation of the elevator. Example 4

[0083] like Figure 4 As shown, based on Example 1, the operation monitoring module 2 provided in this embodiment of the present invention includes:

[0084] The data sampling submodule 2-1 is responsible for connecting with various sensors to sample the current operating status data of each device, the characteristics of small objects and the elevator running speed;

[0085] Sampling node submodule 2-2 is responsible for obtaining the current running status data, the characteristics of small objects and the sampling nodes of the elevator running speed;

[0086] The state data storage submodule 2-3 is responsible for obtaining the first tag of the device stored in the first database, and storing the current running state data, the characteristics of small objects and the running speed of the elevator in the second database according to different sampling nodes;

[0087] The working principle and beneficial effects of the above technical scheme are as follows: the data sampling submodule of the technical scheme of this embodiment is connected to various sensors to sample the current operating status data of each device, the characteristics of small objects and the elevator running speed; the sampling node submodule obtains the current operating status data, the characteristics of small objects and the sampling node of the elevator running speed; the status data storage submodule obtains the first label of the device stored in the first database, and stores the current operating status data, the characteristics of small objects and the elevator running speed in the second database according to the different sampling nodes; this embodiment collects the current operating status data, the characteristics of small objects and the elevator running speed of the device through various sensors, and stores them according to the sampling nodes. On the one hand, the real-time nature of the operating status data, the characteristics of small objects and the elevator running speed is realized, which ensures that the elevator equipment can be monitored in real time and ensures the effectiveness of remote monitoring of the elevator; on the other hand, according to the storage of sampling nodes, it is convenient for maintenance personnel to view the operating status data of the equipment, and can more accurately determine the time node when the equipment fails or has hidden dangers, and timely understand the operating status of the equipment, which is conducive to making more accurate processing methods. Example 5

[0088] like Figure 5 As shown, based on Example 1, the fault judgment module 3 provided in this embodiment of the present invention includes:

[0089] The standard data acquisition submodule 3-1 is responsible for acquiring the equipment-related service life and fault data of the elevator from the first database, and retrieving the equipment operation status data stored in the second database;

[0090] The fault data comparison submodule 3-2 is responsible for comparing the operation status data with the fault data in the first database to determine whether the equipment has a fault. If a fault occurs, the fault type is determined and the fault alarm information is sent to the terminal control module;

[0091] The use cycle data comparison submodule 3-3 is responsible for comparing the operation status data with the use cycle data in the first database to determine whether the equipment has reached the use cycle. If the equipment has reached the use cycle, an alarm message of hidden danger is sent to the terminal control module;

[0092] The working principle and beneficial effects of the above technical scheme are as follows: the standard data acquisition submodule of the technical scheme of this embodiment obtains the equipment-related usage cycle and fault data of the elevator from the first database, and retrieves the equipment operation status data stored in the second database; the fault data comparison submodule compares the operation status data with the fault data of the first database to determine whether the equipment has a fault. If a fault occurs, the type of fault is determined and a fault alarm message is sent to the terminal control module; the usage cycle data comparison submodule compares the operation status data with the usage cycle data of the first database to determine whether the equipment has reached the usage cycle. If the usage cycle is reached, an alarm message of a hidden danger is sent to the terminal control module; this embodiment judges the usage cycle and fault of the equipment respectively, and the usage cycle judges the service life of the equipment and the vulnerable equipment to obtain equipment with hidden dangers; the fault judges the abnormal operation of the equipment, and adopts two aspects of standard judgment on the equipment, which greatly improves the accuracy of fault and hidden danger judgment, truly realizes the accuracy of remote monitoring of the elevator, and makes the monitoring more practical and effective. Example 6

[0093] like Figure 6 As shown, on the basis of embodiment 1, the fault judgment module 3 provided in the embodiment of the present invention further includes:

[0094] The object image acquisition submodule 3-4 is responsible for acquiring the image of the object entering the elevator through the video detection device;

[0095] The three-dimensional image acquisition submodule 3-5 is responsible for calculating the object feature quantity related to the object on the image from the current frame of the object image, and obtaining the three-dimensional image of the object according to the object feature quantity;

[0096] The object shape judgment submodule 3-6 is responsible for obtaining the attribute information related to the object through the three-dimensional image and determining whether the object is a small object such as a pet leash;

[0097] The alarm submodule 3-7 is responsible for sending an alarm if the object is a small object. The actor receives the alarm and cleans up the small object.

[0098] The working principle and beneficial effects of the above technical scheme are as follows: the object image acquisition submodule of the technical scheme of this embodiment acquires the image of the object entering the elevator through the video detection device; the three-dimensional image acquisition submodule calculates the object feature quantity related to the object on the image from the current frame of the object image, and obtains the three-dimensional image of the object according to the object feature quantity; the object shape judgment submodule obtains the attribute information related to the object through the three-dimensional image, and determines whether the object is a small object such as a pet leash; the alarm submodule issues an alarm if the object is a small object, and the person receives the alarm and cleans up the small object; the above scheme obtains the attribute information of the object by judging the object entering the elevator, and determines that the object is a slender object through the three-dimensional image, and then makes a judgment, which effectively solves the problem that slender objects such as pet leashes enter the elevator, causing the death of pets and directly affecting the safe operation of the elevator. Example 7

[0099] like Figure 7 As shown, on the basis of embodiment 1, the fault judgment module 3 provided in the embodiment of the present invention further includes:

[0100] The elevator speed acquisition submodule 3-7 is responsible for collecting the current running speed of the elevator through the speed sensor;

[0101] The speed threshold judgment submodule 3-8 is responsible for comparing the current running speed with the preset speed threshold. If it is within the preset speed threshold range, it runs at the current running speed. If it exceeds the preset speed threshold, the elevator braking submodule is started;

[0102] The elevator braking submodule 3-9 is responsible for reducing the current running speed of the elevator to within the preset speed threshold range through the braking device. The braking device includes a guide rail, a brake, etc. The brake is installed on the elevator, and the elevator runs along the guide rail.

[0103] The working principle and beneficial effects of the above technical scheme are as follows: the elevator speed acquisition submodule of the technical scheme of this embodiment collects the current running speed of the elevator through a speed sensor; the speed threshold judgment submodule compares the current running speed with the preset speed threshold, and when it is within the preset speed threshold range, it runs at the current running speed, and if it exceeds the preset speed threshold, the elevator braking submodule is started; the elevator braking submodule reduces the current running speed of the elevator to within the preset speed threshold range through a braking device, and the braking device includes a guide rail and a brake, and the brake is installed on the elevator, and the elevator runs along the guide rail; the above scheme monitors the alkaline running speed of the elevator by points, and when the elevator running speed is abnormal, the braking device is started to reduce the elevator running speed to within the preset range, thereby ensuring the safety of the elevator operation, protecting the safety of the equipment to a certain extent, and reducing the cost of subsequent maintenance. Example 8

[0104] like Figure 8As shown, based on Example 5, the fault data comparison submodule 3-2 provided in this embodiment of the present invention includes:

[0105] The power plant model unit 3-2-1 is responsible for determining the relationship between the active power and frequency of the power plant; the expression of the power plant module is:

[0106]

[0107] in, Represents the power plant node i The active output of the current operating status data, Represents the power plant node i The number of power units, Represents the power plant node i No. k The active output of the current operating status data of the station group, Represents the power plant node i No. k The rated active output of the group, Represents the power plant node i No. k The minimum active output stored in the first database of the group, Represents the power plant node i No. k The maximum active output stored in the first database of the station group, Represents the power plant node i No. k The unit regulation power of the group, Indicates power frequency changes;

[0108] The transmission device model unit 3-2-2 is responsible for judging the state of the transmission device during operation; the expression of the transmission device model is:

[0109]

[0110] in, Representation Node i Transmission load rated active power, Representation Node i Transmission load rated reactive power, Representation Node i The active power of the current operating status data of the transmission load, Representation Node i The reactive power of the current operating status data of the transmission load, Indicates the power frequency changes, Representation Node i The voltage value, , , , , , , and is a constant, + + =1, + + =1;

[0111] The working principle and beneficial effects of the above technical scheme are as follows: the power device model unit of the technical scheme of this embodiment determines the relationship between the active power and frequency of the power device, and obtains whether there is an abnormality in the active power of the power device, thereby realizing the judgment of the operating status of the power device; the transmission device model unit determines the state of the transmission device when it is working, and the transmission device realizes the output and transmission of power, ensuring the output of power, and ensuring that the transmission device is in a normal working state by calculating its active power; it realizes the judgment of whether the equipment fails, and if a failure occurs, determines the type of the fault, and sends a fault alarm message to the terminal control module.

[0112] Example 9

[0113] like Fig. 9 As shown, based on Embodiment 1 to Embodiment 8, the elevator remote monitoring method provided by the embodiment of the present invention includes the following steps:

[0114] S100: Classify the service life and fault data of each device during the production of the elevator to form a first database; at the same time, obtain the service life and fault data related to the equipment of the elevator through a crawler and store them in the first database;

[0115] S200: monitor the real-time operating status of each device of the elevator in real time through various sensors, obtain the device operating status data, whether there are small objects in the elevator door and the elevator running speed, and store them in the second database;

[0116] S300: judging whether the equipment has a fault or hidden danger according to the equipment operation status data, whether there are small objects in the elevator door, and the elevator operation speed, and according to the data in the first database, if there is a fault or hidden danger, sending an alarm message and location information to the terminal; if there is no fault or hidden danger, continuing to judge the equipment operation status data at the next moment;

[0117] S400: Receive fault or hidden danger information, and repair or maintain the elevator equipment according to the location information.

[0118] The working principle and beneficial effects of the above technical scheme are as follows: the technical scheme of this embodiment first classifies the use cycle and fault data of each device during the production of the elevator to form a first database; at the same time, the use cycle and fault data related to the elevator equipment are obtained through a crawler and stored in the first database; secondly, various sensors are used to monitor the real-time operating status of each device of the elevator, whether there are small objects in the elevator door and the elevator running speed in real time, to obtain the equipment operating status data, and store it in the second database; then, based on the equipment operating status data, whether there are small objects in the elevator door and the elevator running speed, it is judged whether the equipment has a fault or hidden danger. If there is a fault or hidden danger, an alarm message and location information are sent to the terminal. If there is no fault or hidden danger, the equipment operating status data at the next moment is continued to be judged; finally, the fault or hidden danger information of the fault judgment module is received, and the elevator equipment is repaired or maintained according to the location information. This embodiment classifies equipment according to its usage cycle, provides basic data for later equipment fault judgment, realizes early prediction of faults or hidden dangers, reduces the workload of maintenance personnel, and improves the safety of the elevator monitoring system; in order to make up for the problem of incomplete data in the first database, the usage cycle and fault data of the network are obtained by crawlers to enrich the first database, which improves the accuracy of elevator monitoring and helps to improve the intelligent control level of monitoring; the operation monitoring module is used to monitor the elevator equipment in real time, so that the working status of the equipment can be understood in time, and the data can be processed in real time, realizing timely prediction of faults or hidden dangers; the terminal control module communicates remotely with the elevator through the Internet of Things, realizes remote monitoring, and no longer needs to go to the site for detection, which improves the efficiency of eliminating faults or hidden dangers, while reducing the number of maintenance personnel, improving the control level of elevator remote monitoring, extending the service life of the elevator, and improving the safety of operation.

[0119] Example 10

[0120] like Fig.10 Therefore, based on Example 9, the process of forming the first database provided in this embodiment of the present invention includes:

[0121] S101: Obtain the names of all devices of the elevator, classify the devices according to their functions, and mark them with first tags;

[0122] S102: Input the service life and fault data of the classified equipment, which are preset by the manufacturer;

[0123] S103: Using the first tag as a feature and the usage cycle and fault data as content, encrypting the usage cycle and fault data using a public key, decrypting them using a private key, and storing the features and content in a first database;

[0124] The working principle and beneficial effects of the above technical solution are as follows: the technical solution of this embodiment first obtains the names of all the equipment of the elevator, classifies them according to the functions of the equipment, and marks them with a first label; the functions include power devices, transmission devices and detection devices, etc.; secondly, inputs the usage cycle and fault data of the classified equipment, and the usage cycle and fault data are preset by the manufacturer; finally, the usage cycle and fault data are encrypted with a public key using the first label as the feature and the usage cycle and fault data as the content, and are decrypted with a private key, and the features and content are stored in the first database; this embodiment classifies the equipment according to its function and marks the label. Due to the large number of equipment in the elevator, the data processing amount is reduced by dividing it according to its function, so that The equipment classification is more hierarchical, which is conducive to the input of usage cycle and fault data, and also convenient for maintenance personnel to eliminate faults and hidden dangers in the later stage; the usage cycle and fault data are preset by the manufacturer, and are set by experts according to the specific performance of the equipment. Especially for some vulnerable equipment, such as cables and sensors, setting their service life will help to eliminate hidden dangers in advance and improve the safety of elevator operation; according to the characteristics of the first tag, the usage cycle and fault are encrypted and stored in the first database to realize the confidential storage of the usage cycle and fault, avoid the leakage of commercial secrets and technology, and at the same time, maintenance personnel can read the data through the private key corresponding to the public key, which also improves the safety of elevator operation and avoids the occurrence of accidents.

[0125] Embodiment 11

[0126] like Fig.11 As shown, based on Example 9, the process of obtaining device operation status data provided by the embodiment of the present invention includes:

[0127] S201: Connect with various sensors to sample the current operating status data of each device;

[0128] S202: Acquire a sampling node of current running status data;

[0129] S203: Acquire a first tag of the device stored in the first database, and store the current operating status data in the second database according to different sampling nodes;

[0130] The working principle and beneficial effects of the above technical scheme are as follows: the technical scheme of this embodiment is first connected to various sensors to sample the current operating status data of each device; secondly, the sampling node of the current operating status data is obtained; finally, the first label of the device stored in the first database is obtained, and the current operating status data is stored in the second database according to the different sampling nodes; this embodiment collects the current operating status data of the device through various sensors and stores it according to the sampling nodes. On the one hand, the real-time nature of the operating status data is realized, which ensures that the elevator equipment can be monitored in real time and the effectiveness of remote monitoring of the elevator is guaranteed; on the other hand, according to the storage at the sampling nodes, it is convenient for maintenance personnel to view the operating status data of the equipment, and can more accurately determine the time node when the equipment fails or has hidden dangers, and timely understand the operating status of the equipment, which is conducive to making more accurate processing methods.

[0131] Example 12

[0132] like Fig.12 As shown, based on Example 9, the process of determining whether a device has a fault or hidden danger provided by the embodiment of the present invention includes:

[0133] S301: Acquire the equipment-related service life and fault data of the elevator from the first database, and retrieve the equipment operation status data stored in the second database;

[0134] S302: Compare the running status data with the fault data in the first database to determine whether the device has a fault. If a fault occurs, determine the type of the fault and send a fault alarm message to the terminal control module;

[0135] S303: Compare the operation status data with the use cycle data in the first database to determine whether the equipment has reached its use cycle. If so, send an alarm message of hidden danger to the terminal control module;

[0136] The working principle and beneficial effects of the above technical scheme are as follows: the technical scheme of this embodiment first obtains the equipment-related usage cycle and fault data of the elevator from the first database, and retrieves the equipment operation status data stored in the second database; secondly, the operation status data is compared with the fault data of the first database to determine whether the equipment has a fault. If a fault occurs, the type of fault is determined, and a fault alarm message is sent to the terminal control module; finally, the operation status data is compared with the usage cycle data of the first database to determine whether the equipment has reached the usage cycle. If the usage cycle is reached, an alarm message of a hidden danger is sent to the terminal control module; this embodiment judges the usage cycle and fault of the equipment respectively, and the usage cycle judges the service life of the equipment and the vulnerable equipment to obtain equipment with hidden dangers; the fault judges the abnormal operation of the equipment, and adopts two aspects of standard judgment on the equipment, which greatly improves the accuracy of fault and hidden danger judgment, truly realizes the accuracy of remote monitoring of elevators, and makes monitoring more practical and effective.

[0137] 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. An elevator remote monitoring system, characterized in that: include: The equipment classification module is responsible for classifying the service life and fault data of each equipment during the production of the elevator to form a first database; at the same time, the service life and fault data related to the equipment of the elevator are obtained through a crawler and stored in the first database; The operation monitoring module is responsible for monitoring the real-time operation status data of each device of the elevator, whether there are small objects in the elevator door, and the elevator operation speed through various sensors, obtaining the equipment operation status data, the characteristics of small objects, and the elevator operation speed, and storing them in the second database; The fault judgment module is responsible for judging whether the equipment has a fault or hidden danger according to the equipment operation status data of the operation monitoring module, the characteristics of the small object and the elevator operation speed, and according to the data of the first database. If there is a fault or hidden danger, the alarm information and location information are sent to the terminal. If there is no fault or hidden danger, the equipment operation status data at the next moment is continued to be judged; The terminal control module is responsible for receiving the fault or hidden danger information from the fault judgment module and repairing or maintaining the elevator equipment according to the location information; Fault judgment module, including: The standard data acquisition submodule is responsible for acquiring the equipment-related service life and fault data of the elevator from the first database, and retrieving the equipment operation status data stored in the second database; The fault data comparison submodule is responsible for comparing the operation status data with the fault data in the first database to determine whether the equipment has a fault. If a fault occurs, the fault type is determined and the fault alarm information is sent to the terminal control module; The use cycle data comparison submodule is responsible for comparing the operation status data with the use cycle data in the first database to determine whether the equipment has reached its use cycle. If so, an alarm message of hidden danger is sent to the terminal control module. Fault data comparison submodule, including: The power plant model unit is responsible for determining the relationship between the active power and frequency of the power plant; the expression of the power plant module is: Among them, P 1i Represents the active output of the current operating status data of the power plant node i, N 1i represents the number of power units at power unit node i, P 1ik represents the active output of the current operating status data of the k-th group of power plant node i, P setick represents the rated active output of the kth group of power plant node i, P min ik represents the minimum active output stored in the first database of the kth group of power plant node i, P max ik represents the maximum active output stored in the first database of the kth group of power plant node i, K 1ik represents the unit regulation power of the kth group of power plant node i, Δf represents the power supply frequency change; The transmission device model unit is responsible for judging the state of the transmission device during operation; the expression of the transmission device model is: Among them, P e0i represents the rated active power of the transmission load at node i, Q e0i represents the rated reactive power of the transmission load at node i, P ei Indicates the active power of the current operating status data of the transmission load at node i, Q ei represents the reactive power of the current operating status data of the transmission load at node i, Δf represents the power frequency change, U i represents the voltage value of node i, k i 、a i 、b i 、c i , k′ i , a′ i , b′ i and c′ i is a constant, a i +b i +c i =1, a′ i +b′ i +c′ i =1.

2. The elevator remote monitoring system according to claim 1, characterized in that: Equipment classification module, including: The label setting submodule is responsible for obtaining the names of all the equipment of the elevator, classifying them according to their functions, and marking them with the first label; the functions include power device, transmission device and detection device; The data input submodule is responsible for inputting the service life and fault data of the classified equipment. The service life and fault data are preset by the manufacturer. The data storage submodule is responsible for using the first tag as a feature and the usage cycle and fault data as content, encrypting the usage cycle and fault data using a public key, decrypting them using a private key, and storing the features and content in the first database.

3. The elevator remote monitoring system according to claim 1, characterized in that: Run monitoring modules, including: The data sampling submodule is responsible for connecting with various sensors to sample the current operating status data of each device, the characteristics of small objects, and the elevator running speed; The sampling node submodule is responsible for obtaining the current running status data, the characteristics of small objects and the sampling nodes of the elevator running speed; The state data storage submodule is responsible for obtaining the first label of the device stored in the first database, and storing the current operation state data, the characteristics of small objects and the elevator operation speed in the second database according to different sampling nodes.

4. The elevator remote monitoring system according to claim 1, characterized in that: The fault judgment module also includes: The object image acquisition submodule is responsible for acquiring the image of the object entering the elevator through the video detection device; The three-dimensional image acquisition submodule is responsible for calculating the object feature quantity related to the object on the image from the current frame of the object image, and obtaining the three-dimensional image of the object according to the object feature quantity; The object shape judgment submodule is responsible for obtaining object-related attribute information through three-dimensional images and determining whether the object is a small object; The alarm submodule is responsible for issuing an alarm when it detects that the object is a small object. The actor receives the alarm and cleans up the small object.

5. The elevator remote monitoring system according to claim 1, characterized in that: The fault judgment module also includes: The elevator speed acquisition submodule is responsible for collecting the current running speed of the elevator through the speed sensor; The speed threshold judgment submodule is responsible for comparing the current running speed with the preset speed threshold. If it is within the preset speed threshold range, it runs at the current running speed. If it exceeds the preset speed threshold, the elevator braking submodule is started; The elevator braking submodule is responsible for reducing the current running speed of the elevator to within the preset speed threshold range through the braking device. The braking device includes a guide rail and a brake. The brake is installed on the elevator, and the elevator runs along the guide rail.

6. A method for remote monitoring of an elevator, characterized in that: The following steps are involved: Classify the equipment according to the service life and fault data of each equipment during elevator production to form a first database; At the same time, the crawler is used to obtain the service life and fault data related to the equipment of the elevator, and stores them in the first database; Through various sensors, the real-time operation status of each device of the elevator is monitored in real time to obtain the data of the device operation status, whether there are small objects in the elevator door and the elevator operation speed, and store them in the second database; According to the equipment operation status data, whether there are small objects in the elevator door and the elevator operation speed, it is judged according to the data in the first database whether there is a fault or hidden danger in the equipment. If there is a fault or hidden danger, an alarm message and location information are sent to the terminal. If there is no fault or hidden danger, the equipment operation status data at the next moment is continued to be judged; Receive fault or hidden danger information and repair or maintain the elevator equipment according to the location information; The process of collecting equipment operation status data and judging whether the equipment has faults or hidden dangers includes: Obtaining equipment-related service life and fault data of the elevator from the first database, and retrieving equipment operation status data stored in the second database; Compare the running status data with the fault data in the first database to determine whether the equipment has a fault. If a fault occurs, determine the type of the fault and send a fault alarm message to the terminal control module; Compare the operation status data with the use cycle data in the first database to determine whether the equipment has reached its use cycle, and if so, send an alarm message of hidden danger to the terminal control module; Comparing the operating status data with the fault data in the first database includes: The power plant model unit determines the relationship between the active power and frequency of the power plant; the expression of the power plant module is: Among them, P 1i Represents the active output of the current operating status data of the power plant node i, N 1i represents the number of power units at power unit node i, P 1ik represents the active output of the current operating status data of the k-th group of power plant node i, P setick represents the rated active output of the kth group of power plant node i, P min ik represents the minimum active output stored in the first database of the kth group of power plant node i, P max ik represents the maximum active output stored in the first database of the kth group of power plant node i, K 1ik represents the unit regulation power of the kth group of power plant node i, Δf represents the power supply frequency change; The transmission device model unit determines the state of the transmission device when it is working; the expression of the transmission device model is: Among them, P e0i represents the rated active power of the transmission load at node i, Q e0i represents the rated reactive power of the transmission load at node i, P ei Indicates the active power of the current operating status data of the transmission load at node i, Q ei represents the reactive power of the current operating status data of the transmission load at node i, Δf represents the power frequency change, U i represents the voltage value of node i, k i 、a i 、b i 、c i , k′ i , a′ i , b′ i and c′ i is a constant, a i +b i +c i =1, a′ i +b′ i +c′ i =1.

7. The elevator remote monitoring method according to claim 6, characterized in that: The process of forming the first database includes: Get the names of all the equipment of the elevator, classify them according to their functions, and mark them with the first label; Input the service life and failure data of the equipment according to the classification. The service life and failure data are preset by the manufacturer. The first tag is used as a feature, and the usage cycle and fault data are used as content. The usage cycle and fault data are encrypted using a public key and decrypted using a private key, and the features and content are stored in the first database.

8. The elevator remote monitoring method according to claim 6, characterized in that: The process of collecting equipment operation status data includes: Connect with various sensors to sample the current operating status data of each device; Get the sampling node of the current running status data; The first tag of the device stored in the first database is obtained, and the current operating status data is stored in the second database according to different sampling nodes.

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