CN113998553A - Elevator operation fault detection system and detection method thereof - Google Patents
Elevator operation fault detection system and detection method thereof Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0018—Devices monitoring the operating condition of the elevator system
- B66B5/0031—Devices monitoring the operating condition of the elevator system for safety reasons
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3415—Control system configuration and the data transmission or communication within the control system
- B66B1/3446—Data transmission or communication within the control system
- B66B1/3461—Data transmission or communication within the control system between the elevator control system and remote or mobile stations
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Abstract
The invention provides an elevator operation fault detection system, which is used for elevator periodic detection and comprises a communication module, a detection module and a data collection library, wherein the communication module and the detection module are respectively in communication connection with the data collection library; the detection module comprises an audio detection module and a vibration identification module, the audio detection module is provided with a plurality of audio sensors, the audio sensors are arranged at two ends of a steel cable brake and on four walls of a lift car, the audio sensors can actively filter the noise of a case and collect the sounding audio of each motion module in the running process of the elevator, the vibration identification module is provided with a plurality of vibration sensors and is distributed on the steel cable brake, the case door body and the floor outer door, and the vibration sensors detect the vibration of each motion module in the running process of the elevator to realize the identification and judgment of a fault area. Through the method and the device, the fault early warning can be intelligently judged, and the accident probability caused by the elevator hidden danger is effectively reduced.
Description
Technical Field
The invention relates to the technical field of elevator monitoring, in particular to an elevator operation fault detection system and a detection method thereof.
Background
With the high-speed expansion of urban construction, medium and high-rise buildings are more and more. The elevator is widely used, so the operation safety of the elevator is increasingly important, and the safe and reliable operation of the elevator is directly related to the personal safety of passengers. The elevator is electromechanical integration equipment and also is important operation equipment in the current high-rise building, the operation stability and reliability of the elevator play a vital role in the safety and efficiency of resident trip, but in the actual operation of the current elevator, the operation state monitoring equipment of the elevator still mainly depends on equipment such as a control system, a light curtain type access control system, an in-place sensor, a weight sensor and the like which are embedded in the elevator equipment for detection, although the use requirement can be met to a certain extent, on one hand, the detection data in the actual use has larger defects and the requirement for comprehensively and accurately detecting the relevant data of the actual operation state of the elevator cannot be met; on the other hand, the data analysis capability of the detection in the detection operation is poor, the automation degree is low, the timely and effective fault early warning can not be carried out on the potential safety hazard existing in the operation of the elevator, and the operation fault data of the elevator can not be timely and effectively fed back to the maintenance personnel of the elevator, so that the efficiency of removing the elevator fault is low, and the personnel scheduling difficulty is relatively large.
The existing regulation is that maintenance is needed twice every month no matter any elevator, high-quality maintenance is realized, the elevator is quickly responded, fault early warning is made in advance, maintenance personnel can know the fault type in time, purposeful maintenance and maintenance are carried out in time, the requirement expectation of maintenance according to needs is realized, a monitoring system is needed, no matter what brand of elevator is used, the original control system of the elevator is not changed, whether the elevator breaks down or not can be judged in time after installation, and if passengers exist in a car of the elevator with the fault, a distress signal is sent out in time, so that maintenance and fault rescue are carried out in time.
In view of the above, there is a need to develop an elevator operation fault detection system and a detection method thereof to solve the above problems.
Disclosure of Invention
The invention aims to disclose an elevator operation fault detection system and a detection method thereof, which can effectively reduce the accident probability caused by the hidden danger of an elevator and improve the maintenance efficiency and the service cycle of the elevator by carrying out daily detection of various motion modes on the elevator in a carrying user and no-load state, acquiring a data feedback set, and intelligently judging fault early warning through the analysis and learning of the fault detection system.
In order to achieve the aim, the invention provides an elevator operation fault detection system which is used for elevator periodic detection and comprises a communication module, a detection module and a data collection library, wherein the communication module is in communication connection with the detection module, and the data collection library is in communication connection with the detection module;
the detection module comprises an audio detection module and a vibration identification module, the audio detection module is provided with a plurality of audio sensors, the audio sensors are arranged at two ends of a steel cable brake and four walls of a lift car, the audio sensors can actively filter the noise of a case and collect the sounding frequency of each motion module in the running process of the elevator, the vibration identification module is provided with a plurality of vibration sensors which are distributed on the steel cable brake, a case door body and a floor outer door, and the vibration sensors realize the identification and judgment of a fault area through the vibration detection of each motion module in the running process of the elevator;
and the data collection library processes and analyzes the collected audio data and vibration data and transmits the processed data to the service terminal.
As a further improvement of the invention, the detection module monitors the response of the starting and stopping state of the elevator reaching the corresponding floor and carries out data numbering.
As a further improvement of the invention, the data collection library also comprises big data intelligent judgment, and the abnormal state definition is carried out on the signal value exceeding a certain threshold interval by carrying out threshold analysis and judgment on the data information of each group of data numbers.
As a further improvement of the invention, the detection module further comprises a gyroscope acceleration detection device which is used for acquiring data of the acceleration and shaking angle directions of the elevator, acquiring the running vertical shaking and horizontal shaking states of the elevator, and determining the running and stopping states of the elevator.
As a further improvement of the invention, the elevator car door opening and closing detection device also comprises a flat bed detection device, a door opening and closing detection device and a personnel detection device, wherein the personnel detection device can detect the number of personnel in the car.
The invention also discloses a detection method of the elevator operation fault detection system, which further comprises a control terminal, and the method comprises the following steps:
s1, performing running driving in three modes of acceleration, deceleration and uniform speed on the elevator in an unloaded state at night through a control terminal, and respectively acquiring data feedback sets in 3 modes by an audio detection module and a vibration identification module;
s2, performing unordered tracking detection on three modes of acceleration, deceleration and uniform speed in the operation of the elevator at the peak time period of the operation of the elevator, and collecting and obtaining 3n groups of data feedback sets corresponding to the three modes;
s3, collecting data of the S1 step and the S2 step by taking a day as a unit, forming a data day set, and forming a conventional response threshold interval of the audio sensor and the vibration sensor in two different states of carrying and no-load of the elevator by analyzing and processing the data day set by taking a month as a unit through the data collection library;
and S4, performing numerical analysis on a data day set and a conventional response threshold interval which are detected by the audio sensor and the vibration sensor, and predicting and judging the operation fault of the elevator.
As a further improvement of the invention, the modes in the steps S1 and S2 further include a start-stop mode, and the start-stop mode includes a short-range start-stop at an interval of 1-3 floors of a floor and a long-range start-stop at an interval of more than 3 floors of the floor.
As a further improvement of the present invention, the detection of the elevator operation by the detection module further includes start-stop and operation detection between adjacent floors.
As a further improvement of the invention, the operation detection comprises fault detection of the action of opening and closing the car door when the car reaches each floor.
As a further improvement of the invention, the service terminal comprises one or more of a city supervision bureau, a maintenance company, a maintenance staff, a property management department and an owner.
Compared with the prior art, the invention has the beneficial effects that:
(1) the utility model provides an elevator operation fault detection system for elevator periodic detection can discern the potential safety hazard that the elevator exists, and make trouble early warning, through fault detection system's analysis study, and intelligent judgment trouble early warning can effectively reduce the probability that the elevator hidden danger caused the occurence of failure, has improved elevator maintenance efficiency and life cycle.
(2) The detection module is used for detecting and recording detection data according to response states (including acceleration, deceleration, constant speed and start and stop) of each stage in the running process of the elevator, the audio sensor can track and record audio generated in the using process of the steel cable brake and the four walls of the lift car, the vibration sensor can track and record the steel cable brake, the vibration frequency and the vibration period of the case door body and the outer door of a floor are comprehensively processed and analyzed through the data collection library, and an elevator operator can judge a main reaction area of a fault problem through analysis data and carry out specific maintenance and repair work.
(3) A detection method of an elevator operation fault detection system comprises the steps of collecting data through an audio detection module and a vibration identification module under two environments of a night no-load state and an elevator operation peak period, collecting and forming a data day set through a data collection library, carrying out data processing by taking months as a unit through the data collection library to form a conventional response threshold interval of an audio sensor and a vibration sensor under two different states of carrying and no-load, carrying out threshold analysis and judgment on data information of each group of data numbers collected daily through big data intelligent judgment, carrying out abnormal state definition on a signal value exceeding a certain threshold interval, and transmitting the signal value to a service terminal to provide fault early warning for an elevator operator.
(4) The method has the advantages that the starting and stopping actions in the daily use of the elevator are detected, including short-range starting and stopping and long-range starting and stopping, so that the fault detection of the response action between the door of the lift car and the outer door of the floor in the starting and stopping process is realized, and the richness and relevance of the data day set are improved; the system can effectively improve the convenience of the expansion, adjustment and maintenance operation of the elevator monitoring system, and can reduce the cost of the operation and maintenance operation of the system; the purpose that the elevator faults can be automatically detected by the existing elevators without providing any signal by the elevator control system is achieved.
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Fig. 1 is a flow chart of an elevator operation fault detection system and a detection method thereof.
Detailed Description
The present invention is described in detail with reference to the embodiments shown in the drawings, but it should be understood that these embodiments are not intended to limit the present invention, and those skilled in the art should understand that functional, methodological, or structural equivalents or substitutions made by these embodiments are within the scope of the present invention.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
In the description of the present application, it is to be understood that the terms "center," "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are used in the orientation or positional relationship indicated in the drawings for convenience in describing the present application and for simplicity in description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed in a particular orientation, and be operated in a particular manner, and are not to be considered limiting of the scope of the present application. Furthermore, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first," "second," etc. may explicitly or implicitly include one or more of that feature. In the description of the invention, the meaning of "a plurality" is two or more unless otherwise specified.
In the description of the present application, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art through specific situations.
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Preferred embodiments of the present invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Please refer to fig. 1, which shows an embodiment of an elevator operation failure detection system according to the present invention.
An elevator operation fault detection system is used for elevator periodic detection and comprises a communication module, a detection module and a data collection library, wherein the communication module and the detection module are in communication connection with the data collection library respectively; the detection module comprises an audio detection module and a vibration identification module, the audio detection module is provided with a plurality of audio sensors, the audio sensors are arranged at two ends of the steel cable brake and four walls of the lift car, the audio sensors can actively filter the noise of the case and collect the sounding frequency of each motion module in the running process of the elevator, the vibration identification module is provided with a plurality of vibration sensors which are distributed on the steel cable brake, the case door body and the outer floor door, and the vibration sensors realize the identification and judgment of a fault area through the vibration detection of each motion module in the running process of the elevator; and the data collection library processes and analyzes the collected audio data and the vibration data and transmits the processed data to the service terminal. The detection module monitors the response of the starting and stopping state of the elevator when reaching the corresponding floor and numbers the data. The data collection base also comprises big data intelligent judgment, and the abnormal state definition is carried out on the signal value exceeding a certain threshold interval by carrying out threshold analysis and judgment on the data information of each group of data numbers. The detection module further comprises a gyroscope acceleration detection device which is used for acquiring data of the acceleration and the shaking angle direction of the elevator, acquiring the vertical shaking and horizontal shaking states of the elevator in operation and determining the operation and stop states of the elevator. Still include flat bed detection device, switch door detection device and personnel detection device, personnel detection device can detect the interior personnel quantity of car, and what elevator detection device that opens the door adopted is the sensor that opens the door, and the sensor that opens the door is distance test switch again, through setting up the distance size apart from test switch on the elevator sedan-chair door, acquires the elevator state of opening the door and saves. The personnel detection device adopts a monitoring camera and an infrared human body sensor and is used for acquiring personnel parameters in the elevator.
Specifically, in this embodiment, an elevator operation fault detection system for the elevator detects periodically, can discern the potential safety hazard that the elevator exists, and makes the trouble early warning, through the analysis study of fault detection system, and the intelligent judgement trouble early warning can effectively reduce the probability that the elevator hidden danger caused the occurence of failure, has improved elevator maintenance efficiency and life cycle. The detection module is used for detecting and recording detection data according to response states (including acceleration, deceleration, constant speed and start and stop) of each stage in the running process of the elevator, the audio sensor can track and record audio generated in the using process of the steel cable brake and the four walls of the lift car, the vibration sensor can track and record the steel cable brake, the vibration frequency and the vibration period of the case door body and the outer door of a floor are comprehensively processed and analyzed through the data collection library, and an elevator operator can judge a main reaction area of a fault problem through analysis data and carry out specific maintenance and repair work.
The invention also discloses a detection method of the elevator operation fault detection system, which further comprises a control terminal, and the method comprises the following steps: s1, performing running driving in three modes of acceleration, deceleration and uniform speed on the elevator in an unloaded state at night through a control terminal, and respectively acquiring data feedback sets in 3 modes by an audio detection module and a vibration identification module; s2, performing unordered tracking detection on three modes of acceleration, deceleration and uniform speed in the operation of the elevator at the peak time period of the operation of the elevator, and collecting and obtaining 3n groups of data feedback sets corresponding to the three modes; s3, collecting data of the S1 step and the S2 step by taking a day as a unit, forming a data day set, and analyzing and processing the data day set by taking a month as a unit through a data collection library to form a conventional response threshold interval of the audio sensor and the vibration sensor under two different states of carrying and no-load of the elevator; and S4, performing numerical analysis on a data day set and a conventional response threshold interval which are detected by the audio sensor and the vibration sensor, and predicting and judging the operation fault of the elevator. The modes in the steps S1 and S2 further include a start-stop mode, and the start-stop mode comprises short-range start-stop of floors at intervals of 1-3 floors and long-range start-stop of floors at intervals of more than 3 floors. The detection module for the elevator operation further comprises start-stop and operation detection between adjacent floors. The operation detection comprises fault detection of the opening and closing of the car door when the car reaches each floor. The service terminal comprises one or more of a city supervision bureau, a maintenance company, a maintenance personnel, a property management department and an owner.
A detection method of an elevator operation fault detection system comprises the steps of collecting data through an audio detection module and a vibration identification module under two environments of a night no-load state and an elevator operation peak period, collecting and forming a data day set through a data collection library, carrying out data processing by taking months as a unit through the data collection library to form a conventional response threshold interval of an audio sensor and a vibration sensor under two different states of carrying and no-load, carrying out threshold analysis and judgment on data information of each group of data numbers collected daily through big data intelligent judgment, carrying out abnormal state definition on a signal value exceeding a certain threshold interval, and transmitting the signal value to a service terminal to provide fault early warning for an elevator operator. The method has the advantages that the starting and stopping actions in the daily use of the elevator are detected, including short-range starting and stopping and long-range starting and stopping, so that the fault detection of the response action between the door of the lift car and the outer door of the floor in the starting and stopping process is realized, and the richness and relevance of the data day set are improved; the system can effectively improve the convenience of the expansion, adjustment and maintenance operation of the elevator monitoring system, and can reduce the cost of the operation and maintenance operation of the system; the purpose that the elevator faults can be automatically detected by the existing elevators without providing any signal by the elevator control system is achieved.
According to the elevator operation fault detection system and the fault detection method thereof, the elevator fault detection system is arranged independently, the real-time operation state of the elevator is monitored through the detection module without accessing the operation signal of the elevator, and the elevator fault detection method detects whether the elevator car runs stably and smoothly, whether a car door can be opened or not and whether personnel exist in the elevator or not by using the elevator fault detection system, and judges whether the elevator has the possibility of fault or not after processing the detection signal.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (10)
1. An elevator operation fault detection system is used for elevator periodic detection and is characterized by comprising a communication module, a detection module and a data collection library, wherein the communication module is in communication connection with the detection module and the data collection library respectively;
the detection module comprises an audio detection module and a vibration identification module, the audio detection module is provided with a plurality of audio sensors, the audio sensors are arranged at two ends of a steel cable brake and four walls of a lift car, the audio sensors can actively filter the noise of a case and collect the sounding frequency of each motion module in the running process of the elevator, the vibration identification module is provided with a plurality of vibration sensors which are distributed on the steel cable brake, a case door body and a floor outer door, and the vibration sensors realize the identification and judgment of a fault area through the vibration detection of each motion module in the running process of the elevator;
and the data collection library processes and analyzes the collected audio data and vibration data and transmits the processed data to the service terminal.
2. The elevator operation fault detection system of claim 1, wherein the detection module monitors and data numbers the response of start-stop status that occurs when an elevator arrives at a corresponding floor.
3. The system of claim 2, wherein the data collection library further comprises big data intelligent judgment, and the abnormal state definition is performed on the signal value exceeding a certain threshold interval by performing threshold analysis and judgment on the data information of each group of data numbers.
4. The system of claim 1, wherein the detection module further comprises a gyroscope acceleration detection device for acquiring data of acceleration and shaking angle directions of the elevator, acquiring vertical shaking and horizontal shaking states of the elevator, and determining running and stopping states of the elevator.
5. The elevator operation fault detection system according to claim 4, further comprising a leveling detection device, a door opening and closing detection device and a person detection device, wherein the person detection device is capable of detecting the number of persons in the car.
6. The detecting method of an elevator operation failure detecting system according to claim 1, further comprising a control terminal, characterized by comprising the steps of:
s1, performing running driving in three modes of acceleration, deceleration and uniform speed on the elevator in an unloaded state at night through a control terminal, and respectively acquiring data feedback sets in 3 modes by an audio detection module and a vibration identification module;
s2, performing unordered tracking detection on three modes of acceleration, deceleration and uniform speed in the operation of the elevator at the peak time period of the operation of the elevator, and collecting and obtaining 3n groups of data feedback sets corresponding to the three modes;
s3, collecting data of the S1 step and the S2 step by taking a day as a unit, forming a data day set, and forming a conventional response threshold interval of the audio sensor and the vibration sensor in two different states of carrying and no-load of the elevator by analyzing and processing the data day set by taking a month as a unit through the data collection library;
and S4, performing numerical analysis on a data day set and a conventional response threshold interval which are detected by the audio sensor and the vibration sensor, and predicting and judging the operation fault of the elevator.
7. The method of claim 6, wherein the modes of the steps S1 and S2 further comprise a start-stop mode, and the start-stop mode comprises a short-range start-stop at a floor interval of 1-3 and a long-range start-stop at an interval greater than 3.
8. The method of claim 6, wherein the detection of the elevator operation by the detection module further comprises start-stop and operation detection between adjacent floors.
9. The method of claim 8, wherein the operation detection comprises a fault detection of the door opening and closing action of the elevator car when the elevator car reaches each floor.
10. The method of claim 6, wherein the service terminal comprises one or more of a city supervision bureau, a maintenance company, a maintenance staff, a property management department, and a business owner.
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CN115762558A (en) * | 2022-11-18 | 2023-03-07 | 沃克斯迅达电梯有限公司 | Performance detection system and method for escalator production |
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CN102718100A (en) * | 2012-06-13 | 2012-10-10 | 中山市卓梅尼控制技术有限公司 | Early warning system for elevator fault and early warning method for elevator fault |
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CN102718100A (en) * | 2012-06-13 | 2012-10-10 | 中山市卓梅尼控制技术有限公司 | Early warning system for elevator fault and early warning method for elevator fault |
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CN115762558A (en) * | 2022-11-18 | 2023-03-07 | 沃克斯迅达电梯有限公司 | Performance detection system and method for escalator production |
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Application publication date: 20220201 |