CN217264083U - Intelligent remote fault monitoring system for elevator - Google Patents
Intelligent remote fault monitoring system for elevator Download PDFInfo
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- CN217264083U CN217264083U CN202220513482.0U CN202220513482U CN217264083U CN 217264083 U CN217264083 U CN 217264083U CN 202220513482 U CN202220513482 U CN 202220513482U CN 217264083 U CN217264083 U CN 217264083U
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B50/00—Energy efficient technologies in elevators, escalators and moving walkways, e.g. energy saving or recuperation technologies
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Abstract
The utility model discloses an intelligent long-range fault monitoring system of elevator relates to elevator inspection and detects technical field, include: the system comprises a data acquisition system, a master control system and a server system; the master control system receives the elevator operation data acquired by the data acquisition system, comprehensively evaluates the operation state and the safety and reliability of the elevator according to the elevator operation data, performs early warning according to an evaluation result, sends the evaluation result to the server system, and performs emergency treatment according to a return instruction of the server system; the utility model discloses can in time obtain elevator running state according to the relevant data information of elevator of collection to according to the difference of elevator trouble type, accomplish elevator malfunction alerting and trouble early warning, reduce the emergence probability of elevator accident.
Description
Technical Field
The utility model relates to an elevator inspection detects technical field, and more specifically says so and relates to an intelligent long-range fault monitoring system of elevator.
Background
Elevators (vertical elevators) serve a building of a given floor, and vertical elevators have a cage that runs between at least two vertical rows of rigid guide rails or guide rails inclined at an angle of less than 15 ° to facilitate the passage of passengers or the loading and unloading of goods; with the improvement of the technological level and the living level, the elevator becomes an indispensable part of the life of people, and is also one of the essential important building devices in the urbanization construction of the modern society. As time goes on, the elevator equipment is gradually aged, some safety accidents caused by elevator faults may occur, which are caused by improper use and untimely maintenance and repair, and the occurrence of various elevator accidents closely influences the personal safety of passengers and the stability and comfort of mental health, and gradually becomes an important index concerned by people.
The elevator product needs to pass through the working processes or links such as design, production and manufacture, installation and debugging, use, maintenance, inspection and detection and the like, the quality management of the elevator strictly controls the whole working process, and each small link of the elevator meets the corresponding national requirement according to safety technical specifications and various standards, so that the improvement of the operation monitoring and fault diagnosis level of the elevator is particularly important. The elevator monitoring system seen in the current market is provided with a large number of sensors in a car and an elevator shaft to monitor the working state of the elevator, and is high in design cost, high in construction difficulty and inconvenient to maintain.
Therefore, how to use the intellectual detection system technique to carry out real-time supervision to the elevator, improve and detect the accuracy, in time discover and solve elevator accident problem, reduce the emergence probability of elevator accident, improve the factor of safety in the elevator use technical problem that technical staff in the field need solve urgently.
SUMMERY OF THE UTILITY MODEL
In view of this, the utility model provides an intelligent long-range fault monitoring system of elevator carries out real-time supervision to the elevator, improves and detects the accuracy.
In order to achieve the above purpose, the utility model adopts the following technical scheme:
an elevator intelligent remote fault monitoring system comprising: the system comprises a data acquisition system, a master control system and a server system; the main control system receives the elevator operation data acquired by the data acquisition system, comprehensively evaluates the operation state and the safety and reliability of the elevator according to the elevator operation data, carries out early warning according to an evaluation result, sends the evaluation result to the server system, and carries out emergency treatment according to a return instruction of the server system.
Optionally, the data acquisition system includes an image acquisition device, a surface strain sensor, an acceleration sensor, a multifunctional human body induction module, and an infrared laser device, all of which are connected to the master control system.
Optionally, the master control system includes a data processing module, an operation state determining module, a fault diagnosing module, and an alarm module; the data processing module is connected with the data acquisition system and is connected with the fault diagnosis module through the operating state judgment module; the fault diagnosis module is connected with the alarm module.
Optionally, the server system includes a cloud server and a remote client communicatively connected to the cloud server; the cloud server is in communication connection with the master control system through a communication module.
Optionally, the master control system further includes a storage module, and the storage module is connected to the fault diagnosis module.
Optionally, the master control system further includes an emergency processing module, and the emergency processing module is connected to the fault diagnosis module.
Optionally, the master control system further includes a display module, and the display module is connected to the operating state determining module and the fault diagnosing module respectively.
Optionally, the data acquisition system further includes a temperature sensor, and the temperature sensor is connected with the master control system.
According to the technical scheme, compared with the prior art, the utility model discloses an intelligent remote fault monitoring system for an elevator, which can timely acquire the running state of the elevator according to the collected relevant data information of the elevator, and complete the fault alarm and the fault early warning of the elevator according to the different fault types of the elevator, thereby reducing the occurrence probability of the elevator accident; the intelligent monitoring technology is adopted in the utility model, the real-time monitoring of the elevator can be realized, the accident problem of the elevator can be found and solved in time, and the safety factor of the elevator in the use process is improved; the utility model discloses in confirm elevator place floor information through infrared laser beam, implement simpler, simple to operate, with low costs and the maintenance degree of difficulty is little, can acquire elevator place floor information fast.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic structural diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
Example 1
The embodiment of the utility model discloses elevator intelligent remote fault monitoring system, the structure is as shown in figure 1, include: the system comprises a data acquisition system, a master control system and a server system;
the data acquisition system comprises an image acquisition device, a surface type strain sensor, an acceleration sensor, a multifunctional human body induction module and infrared laser equipment which are all connected with the master control system;
the master control system comprises a data processing module, an operation state judging module, a fault diagnosis module and an alarm module; the data processing module is connected with each sensor in the data acquisition system, and the data processing module is connected with the fault diagnosis module through the operating state judgment module; the fault diagnosis module is connected with the alarm module.
The server system comprises a cloud server and a remote client which is in communication connection with the cloud server; the cloud server is in communication connection with the master control system through a communication module.
In this embodiment, the main control system further includes a storage module, and the storage module is connected to the failure diagnosis module.
In this embodiment, the master control system further includes an emergency processing module, and the emergency processing module is connected to the fault diagnosis module; the emergency processing module is connected with the cloud server.
In this embodiment, the main control system further includes a display module, and the display module is respectively connected to the operating state determining module and the fault diagnosing module.
In this embodiment, the data acquisition system further includes a temperature sensor, and the temperature sensor is connected with the master control system.
In this embodiment, the data acquisition system further includes a photosensitive sensor, and the photosensitive sensor is connected to the main control system.
In this embodiment, the emergency processing module includes an automatic emergency lighting circuit, a standby power supply, an intercom device, and a start-stop device.
The automatic emergency lighting circuit is an emergency lighting lamp which can be automatically turned on when the elevator car body is powered off by the LED lighting lamp group;
the standby power supply is an uninterrupted power supply and consists of a storage battery and a charge-discharge control device, the power output end of the standby power supply is connected with all power consumption parts in the system, and when a power supply of a user elevator is in power failure, the standby power supply can supply power to all parts of the device.
In this embodiment, the image capturing device may also be replaced by a hall sensor.
Example 2
The working principle of the intelligent remote fault monitoring system for the elevator disclosed by the embodiment is as follows:
according to collected relevant operation data of the elevator, such as the opening and closing state of a door, strain stress, acceleration data, human body induction signals, the floor where the elevator is located, temperature, illumination intensity, abrasion or wire breakage of a steel wire rope and the like; then, processing the obtained operation data to obtain key data information; judging the running state of the elevator again according to the key data information; finally, determining the fault type of the elevator based on the running state of the elevator, and performing fault alarm and fault early warning; and sending the fault alarm information to a server system, and carrying out emergency treatment according to a return instruction of the server system.
In this embodiment, the steps of obtaining the relevant operation data of the elevator are:
acquiring an image inside the car through an image acquisition device, and confirming the opening and closing state of the elevator door;
acquiring the strain stress of the steel wire rope through a surface type strain sensor;
acquiring acceleration data in the running process of an elevator car through an acceleration sensor;
acquiring a human body induction signal through a multifunctional human body induction module, and determining whether passengers exist in the lift car;
and acquiring the information of the floor where the elevator is located through infrared laser equipment.
In this embodiment, the image capturing device is a camera.
Through image acquisition device, gather the inside image of car, confirm the door switch state, specifically include the following steps:
carrying out image segmentation on the collected images in the elevator car, and extracting the images in the elevator door area to be used as first images;
carrying out gray level processing on the first image to obtain a second image;
smoothing the second image by adopting a mean filtering method, removing noise and obtaining a third image;
and (4) extracting the positions of the edges of the doors on two sides of the elevator in the third image by calling a canny edge detection algorithm in the main control system, and confirming the door opening and closing state.
The canny edge detection method mainly comprises the following steps:
(1) removing noise in the image by adopting a Gaussian filter, wherein the Gaussian filter is simply to multiply each pixel point and the neighborhood thereof by a Gaussian matrix, and the average value of the weights is taken as the final gray value;
(2) calculating the gradient of the image pixel to obtain the amplitude along the x and y dimensions; the edge of the image can be obtained by calculating the gradient of the image, and gradient values g in different directions are obtained by using sobel x (m, n), specifically calculating the gradient value and direction by the following formulas:
(3) considering the adjacent pixel points of any curve vertical to the given edge direction, and inhibiting the non-maximum edge contribution pixel points;
(4) pixels above the gradient magnitude are retained using a hysteresis threshold method, and pixels below a low threshold are ignored. Setting two thresholds minVal and maxVal, and determining that the gradient of any edge is greater than maxVal as the edge; less than minVal is determined to be non-edge and discarded; located between the two is the edge to be classified, which is considered to belong to the true edge if it is followed by "determining edge pixels".
In another embodiment, the door opening and closing units of the Hall sensor can be arranged on two sides of the elevator car door to judge the opening and closing state of the car door.
Furthermore, the infrared laser equipment comprises a plurality of infrared receiving devices and infrared transmitting devices; furthermore, the method for acquiring the information of the floor where the elevator is located specifically comprises the following steps:
installing an infrared receiving device and an infrared transmitting device on two side walls of the elevator shaft corresponding to the floor positions, and arranging the infrared receiving device and the infrared transmitting device oppositely;
the infrared transmitting device continuously and uninterruptedly transmits infrared laser beams to the infrared receiving device;
and when a certain infrared receiving device cannot receive the infrared laser beam, starting timing, and if the timing time exceeds a preset time threshold, judging that the elevator stays at the floor where the infrared receiving device is located.
Further, the method for judging the running state of the elevator specifically comprises the following steps:
when the acquired acceleration data is within a preset range and the door opening and closing state is closed, determining that the elevator fault type is flat-layer trapping;
when the acquired acceleration data are within a preset range and the elevator door is normally open, determining that the elevator fault type is open-door operation;
when the acquired acceleration data is not in a preset range and the acceleration running time exceeds a threshold value, determining that the elevator fault type is top-flushing or bottom-squatting;
when the acquired acceleration data is not in a preset range and the acceleration operation time does not exceed a threshold value, determining that the elevator fault type is abnormal in speed;
when the collected strain stress is not within the preset range, determining that the fault type of the elevator is abnormal bearing;
and when the collected light intensity is not within the preset range, determining that the elevator fault type is abnormal lighting.
In the embodiment, the server system obtains the running state of the elevator and the safety and reliability thereof to make a comprehensive evaluation result, and when the obtained data is abnormal data, the remote client is used for controlling.
Further, the specific steps of fault alarming and emergency treatment are as follows:
when the elevator fault type is determined to be flat-layer trapped people or open door operation, sending alarm information to an elevator monitoring center or a fire department through a wireless transmission module, wherein the alarm information comprises specific position information of a fault elevator;
when the elevator is determined to have the fault type of top rushing, bottom squatting or abnormal speed which is not within a preset range, sending early warning information, stopping the elevator to the nearest floor, opening an elevator door to evacuate passengers, and reminding elevator maintenance personnel to overhaul;
when the fault type is determined to be abnormal in bearing, sending early warning information, stopping the elevator to the nearest floor, opening an elevator door to evacuate passengers, and reminding elevator maintenance personnel to overhaul;
and when the fault type is determined to be abnormal illumination, early warning information is sent out, an automatic emergency lighting circuit is started at the same time, and passengers are stopped carrying passengers after the passengers are delivered to the specified destination.
Furthermore, in the elevator operation process, the operation state and the floor where the elevator is located are displayed, when the elevator has operation faults, the operation faults are displayed, the safety action taken is displayed, the voice is played, and trapped people are soothed by voice and the situation is communicated.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. An intelligent remote fault monitoring system for an elevator, comprising: the system comprises a data acquisition system, a master control system and a server system; the main control system receives the elevator operation data acquired by the data acquisition system, comprehensively evaluates the operation state and the safety and reliability of the elevator according to the elevator operation data, performs early warning according to an evaluation result, sends the evaluation result to the server system, and performs emergency treatment according to a return instruction of the server system.
2. The intelligent remote elevator fault monitoring system according to claim 1, wherein the data acquisition system comprises an image acquisition device, a surface strain sensor, an acceleration sensor, a multifunctional human body sensing module and an infrared laser device which are all connected with the master control system.
3. The intelligent remote elevator fault monitoring system according to claim 1, wherein the master control system comprises a data processing module, an operation state judging module, a fault diagnosis module and an alarm module; the data processing module is connected with the data acquisition system and is connected with the fault diagnosis module through the operating state judgment module; the fault diagnosis module is connected with the alarm module.
4. The elevator intelligent remote fault monitoring system according to any one of claims 1-3, wherein the server system comprises a cloud server and a remote client communicatively connected to the cloud server; the cloud server is in communication connection with the master control system through a communication module.
5. The intelligent remote elevator fault monitoring system according to claim 3, wherein the master control system further comprises a storage module, and the storage module is connected with the fault diagnosis module.
6. The intelligent remote elevator fault monitoring system according to claim 3, wherein the master control system further comprises an emergency processing module, and the emergency processing module is connected with the fault diagnosis module.
7. The intelligent remote elevator fault monitoring system according to claim 3, wherein the main control system further comprises a display module, and the display module is respectively connected with the operation state judgment module and the fault diagnosis module.
8. The intelligent remote elevator fault monitoring system of claim 1, wherein the data acquisition system further comprises a temperature sensor, and the temperature sensor is connected with the master control system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202220513482.0U CN217264083U (en) | 2022-03-09 | 2022-03-09 | Intelligent remote fault monitoring system for elevator |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202220513482.0U CN217264083U (en) | 2022-03-09 | 2022-03-09 | Intelligent remote fault monitoring system for elevator |
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| Publication Number | Publication Date |
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| CN217264083U true CN217264083U (en) | 2022-08-23 |
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| CN202220513482.0U Active CN217264083U (en) | 2022-03-09 | 2022-03-09 | Intelligent remote fault monitoring system for elevator |
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- 2022-03-09 CN CN202220513482.0U patent/CN217264083U/en active Active
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