CN112520528A - Automatic monitoring elevator fault detection system and detection method thereof - Google Patents

Abstract

The invention relates to an automatic monitoring elevator fault detection system and a detection method thereof, wherein the system comprises a fault detection server, a communication network, alarm terminals and a plurality of detection terminals, and each detection terminal and each alarm terminal are respectively connected with the fault detection server through the communication network and establish data connection. The detection method comprises two steps of system networking, elevator operation monitoring and the like. On one hand, the comprehensive accurate monitoring operation on the running state of the elevator can be effectively realized, the fault data of the elevator can be automatically detected, and the monitoring precision is high; under the condition of not interfering the elevator self independent operation system, comprehensive and accurate monitoring operation can be effectively implemented on the operation state of the elevator, remote elevator fault monitoring is realized by automatically detecting elevator fault data, and the purpose that the elevator faults can be automatically detected by the existing elevators without the need of providing any signal by the elevator self control system is achieved.

Description

Automatic monitoring elevator fault detection system and detection method thereof

Technical Field

The invention belongs to the technical field of elevator fault detection, and particularly relates to an automatic elevator fault monitoring detection system and a detection method thereof.

Background

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, timely and effective fault early warning can not be carried out on potential safety hazards existing in the operation of the elevator, and the operation fault data of the elevator can not be timely and effectively fed back to elevator maintenance personnel, so that the efficiency of elevator fault elimination is low, and the personnel scheduling difficulty is relatively large.

In addition, the existing regulations are that no matter any elevator, maintenance is required twice every month, maintenance according to requirements is realized, the elevator does not break down, the maintenance time is prolonged, the elevator has many faults, the maintenance time interval is shortened, the maintenance personnel can timely know the fault type when the elevator breaks down, timely and purposefully maintain and maintain the elevator, the requirement of maintenance according to requirements is realized, a monitoring system is required, no matter what brand of elevator, the original control system of the elevator is not changed, whether the elevator breaks down or not can be timely judged after installation, if passengers exist in a fault elevator car, a distress signal is timely sent out, and the elevator is convenient to timely maintain and rescue.

Therefore, in order to meet the requirement, an elevator operation monitoring system and an elevator operation monitoring method are urgently needed to be developed so as to meet the requirement of practical use.

Disclosure of Invention

Aiming at the defects in the prior art, the invention provides an automatic monitoring elevator fault detection system and a detection method thereof, which can effectively realize comprehensive and accurate monitoring operation on the running state of an elevator under the condition of not interfering an independent elevator running system, automatically detect elevator fault data to realize remote elevator fault monitoring, and solve the problem that the fault of the elevator can be automatically detected on the premise of not providing any signal by an elevator self control system of various elevators.

So as to meet the requirement of actual work.

In order to achieve the purpose, the invention is realized by the following technical scheme:

an automatic monitoring elevator fault detection system comprises a fault detection server, a communication network, an alarm terminal and a plurality of detection terminals, wherein the detection terminals and the alarm terminal are respectively connected with the fault detection server through the communication network and establish data connection, the fault detection server comprises a nested architecture BP neural network system which adopts a C/S structure and a B/S structure, an LSTM-based intelligent prediction system and a deep learning neural network system which are operated in cooperation with the BP neural network system, a main program system based on an SOA system, an image recognition processing system platform subsystem and a high-definition video signal transmission subsystem are additionally arranged in the fault detection server, the image recognition processing system platform subsystem and the high-definition video signal transmission subsystem are all in data connection with the main program system based on the SOA system, and the fault detection server establishes data connection with a third-party service platform through a communication network.

The detection terminal comprises:

the passenger detection device in the car is used for acquiring passenger parameters in the car;

the elevator running height detection device is used for acquiring the change rate of elevator height data to determine the running and stopping states of the elevator;

the gyroscope acceleration detection device is used for acquiring data of the acceleration and shaking angle directions 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;

the elevator door opening detection device is used for acquiring elevator door opening and closing signals;

and the monitoring camera device is used for acquiring the real-time picture state when the elevator fault occurs and uploading the real-time picture state to a third-party service platform through the fault detection server. The fault detection server of the invention determines common faults of the elevator through logic judgment, and remotely transmits fault signals and pictures to a third-party service platform to realize remote elevator fault monitoring.

The elevator door opening detection device, the elevator running height detection device, the gyroscope acceleration detection device, the passenger detection device in the car and the monitoring camera device are all connected with the fault detection server.

Furthermore, the deep learning neural network system is a neural network system based on convolution operation, a self-coding neural network based on multilayer neurons, and pre-training in a multilayer self-coding neural network mode, and further, any one or more of the deep neural networks with weights of the neural networks optimized by combining identification information are shared.

Furthermore, the detection terminal also comprises a bearing shell, a wiring terminal and a driving circuit, wherein an infrared human body sensor is adopted by a passenger detection device in the lift car, a height sensor is adopted by an elevator running height detection device, an acceleration sensor is adopted by a gyroscope acceleration detection device, a door opening sensor is adopted by an elevator door opening detection device, and a monitoring camera is adopted by the monitoring camera; the bearing shell is a closed cavity structure with a rectangular cross section, the height sensor, the acceleration sensor and the driving circuit are all embedded in the bearing shell, at least one monitoring camera is hinged to the outer surface of the bearing shell through a turntable mechanism, the optical axis of the monitoring camera forms an included angle of 0-120 degrees with the horizontal plane, the infrared human body sensor and the wiring terminal are all embedded in the outer surface of the bearing shell, and the optical axis of the infrared human body sensor forms an included angle of 0-120 degrees with the horizontal plane; at least one door opening sensor is electrically connected with the wiring terminal through a wire and connected with the elevator door; the driving circuit is electrically connected with the monitoring camera, the height sensor, the infrared human body sensor, the acceleration sensor, the door opening sensor and the wiring terminal respectively, and the wiring terminal is electrically connected with the communication network and the elevator car power supply.

Furthermore, the bearing shell is additionally provided with an auxiliary power supply, a loudspeaker, a microphone and an illuminating lamp, wherein the illuminating lamp and the monitoring camera are hinged with the bearing shell through a turntable mechanism, the optical axis of the illuminating lamp is distributed in parallel with the optical axis of the monitoring camera, the auxiliary power supply, the loudspeaker and the microphone are all embedded in the bearing shell, the auxiliary power supply, the loudspeaker, the microphone and the illuminating lamp are all electrically connected with a driving circuit, and a plurality of through holes are formed in the side surface of the bearing shell corresponding to the loudspeaker and the microphone.

Furthermore, the driving circuit is a circuit system based on any one or two of a programmable controller and an industrial singlechip, and is additionally provided with a charge-discharge control circuit, a field effect circuit based on an MOS (metal oxide semiconductor) tube and a network data communication device.

Furthermore, the communication network is an internet of things data communication network comprising at least one online communication network and at least one wireless communication network.

Furthermore, the third-party service platform is shared by any one or two of a relay server, a 3G/4G communication server and a WeChat data communication server.

A detection method for automatically monitoring an elevator fault detection system comprises the following steps:

s1, system networking, firstly constructing a fault detection server, setting at least one detection terminal in each elevator according to the number of elevators in the coverage area of the fault detection server, setting a plurality of alarm terminals according to elevator maintenance workers, allocating an alarm terminal to each worker, then respectively recording the positions of elevator equipment, the alarm terminals and hardware and software identification codes of the detection terminals by the fault detection server, allocating data communication protocols, finally installing each detection terminal on corresponding elevator equipment, and simultaneously inputting the identity information of each worker through the alarm terminals, thereby completing the system networking operation of the invention;

s2, monitoring the operation of the elevator, wherein in the operation of the elevator, the detection terminal monitors the operation state of the elevator car, synchronously sends the data of the monitoring operation to the fault detection server, the fault detection server identifies, analyzes and judges the detection data, and when the elevator is in the fault state, on one hand, the detection terminal carries out fault early warning on the inside of the elevator car; and on the other hand, the alarm information is sent to a corresponding alarm terminal, and the alarm operation is carried out.

Further, in the step S1, in the system networking, each alarm terminal is connected to a plurality of detection terminals to form a monitoring service subsystem, and the monitoring service subsystems are connected to each other, and the alarm terminals of the monitoring service subsystems are connected to each other through a communication network to form a maintenance service local area network.

When the elevator normally operates, the elevator arrives at a designated floor, the door opening time of the elevator does not exceed the set time N seconds, the elevator arrives at a station and opens a door, the elevator closes the door after passengers enter and exit, the elevator continues to operate at the next station, and when no passenger exists, the elevator automatically closes the door and is in a standby state; the method for identifying, analyzing and judging the detection data by the fault detection server is as follows:

(1) elevator power failure judgment

Through the standby power supply, the system continues to operate after power failure, and a power failure signal is monitored and reported;

(2) elevator door not-closing judgment

a) When the altitude change rate of the altitude sensor is zero, setting the altitude change rate as zero starting time, namely the elevator is in a stop state from running, and judging that the elevator does not close the door if the elevator exceeds the set time for N seconds and does not have a door signal;

b) the door opening signal of the elevator is input to start to calculate time, and if the irrelevant door signal is detected after N minutes, the fault that the elevator does not close the door is judged;

if one of the condition a) and the condition b) is established, triggering suspicious instruction early warning; if the two are simultaneously established, judging the elevator fault;

c) elevator arriving station without opening door

When the change rate of the altitude sensor is zero, the elevator enters a stop state from running and is set as zero starting time, the elevator exceeds the set time for N seconds, and if no door opening signal is detected, the elevator is judged to have no door opening fault;

d) elevator fault person closing

When the change rate of the altitude of the height sensor is zero, the elevator enters a stop state from operation and is set as zero starting time, the elevator exceeds the set time for N seconds, no door opening signal is detected, and if a person is detected in the elevator car at the moment, the elevator is judged to be in fault and is closed;

e) elevator door opening in non-flat zone

The door opening and closing sensor has an elevator door opening signal, and the height sensor monitors that the height of the floor where the elevator car is located is not in the flat zone, and judges that the elevator door is opened and is not in the flat zone;

f) elevator operating jitter

The abnormal vertical acceleration of the acceleration sensor is judged as the running shake of the elevator;

g) horizontal sway of elevator

If the horizontal angular acceleration of the acceleration sensor is abnormal, judging that the elevator horizontally shakes;

h) the elevator does not operate for a set time,

1) when the elevator is triggered after the set time is exceeded, the elevator is triggered by a door opening and closing signal but no running signal from 6 am to 12 pm;

2) the elevator is not provided with a door opening and closing signal or an operation signal and is triggered when the set time is exceeded;

i) detecting whether a person exists in the lift car, if an elevator door closing signal exists, and if the elevator does not have an operation signal after the door is closed, judging that the elevator does not operate;

j) elevator running frequency statistics

After the door closing signal of the elevator is provided, an elevator running signal is provided, and the system records once, namely the elevator runs once.

The system of the invention has simple structure, good universality and convenient installation and maintenance, is an independent monitoring system, is not associated with the control system of the elevator and is suitable for elevators of any model. On the one hand, comprehensive and accurate monitoring operation on the operation state of the elevator can be effectively realized under the condition of not interfering an independent operation control system of the elevator, and the working efficiency, automation, intelligent degree and monitoring precision of data operation are high, so that the operation safety and reliability of elevator equipment and the working efficiency of elevator fault finding and removing operation are greatly improved; on the other hand, the flexibility and the convenience of the networking operation of the elevator monitoring system are effectively improved, the timeliness and the reliability of data communication interaction operation during the networking operation are effectively improved, meanwhile, the convenience of the expansion, adjustment and maintenance operation of the elevator monitoring system is effectively improved, and the cost of the operation and maintenance operation of the system is reduced; 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.

Drawings

The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

FIG. 1 is a schematic diagram of the system of the present invention;

FIG. 2 is a schematic diagram of the system architecture of the fault detection server;

FIG. 3 is a schematic structural diagram of an alarm terminal;

FIG. 4 is an alarm logic diagram of an elevator operation monitoring signal;

the reference numbers in the figures: the system comprises acommunication network 1, a fault detection server 2, an alarm terminal 3, a detection terminal 4, a third-party service platform 5, apassenger detection device 6 in a car, an elevator running height detection device 7, a gyroscopeacceleration detection device 8, an elevator door opening detection device 9, amonitoring camera device 10, aturntable mechanism 30, abearing shell 31, amonitoring camera 32, aheight sensor 33, agyroscope sensor 34, an infraredhuman body sensor 35, anacceleration sensor 36, adoor opening sensor 37, awiring terminal 38, adriving circuit 39, alead 301, anauxiliary power supply 302, aloudspeaker 303, amicrophone 304, anilluminating lamp 305 and athrough hole 306.

Detailed Description

In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.

As shown in fig. 1-4, an automatic monitoring elevator fault detection system includes acommunication network 1, a fault detection server 2, an alarm terminal 3 and a plurality of detection terminals 4, wherein the detection terminals 4 and the alarm terminal 3 are provided, and each of the detection terminals 4 and the alarm terminal 3 is respectively connected with the fault detection server 2 through thecommunication network 1 and establishes data connection.

In this embodiment, the fault detection server 2 includes a nested BP neural network system with a C/S structure and a B/S structure, an LSTM-based intelligent prediction system and a deep learning neural network system that operate in cooperation with the BP neural network system, and a main program system based on an SOA system, an image recognition processing system platform subsystem and a high-definition video signal transmission subsystem are additionally provided in the fault detection server 2, and both the image recognition processing system platform subsystem and the high-definition video signal transmission subsystem establish data connection with the main program system based on the SOA system, and the fault detection server 2 establishes data connection with a third-party service platform 5 through acommunication network 1. The deep learning neural network system is a neural network system based on convolution operation, a self-coding neural network based on multilayer neurons and pre-training in a multilayer self-coding neural network mode, and then any one or more deep neural networks with weights of the neural networks further optimized by combining identification information are shared, and thecommunication network 1 is an internet of things data communication network comprising at least one online communication network and at least one wireless communication network.

It is important to explain that the detection terminal 4 includes: thepassenger detection device 6 in the car is used for acquiring passenger parameters in the car; the elevator operation height detection device 7 is used for acquiring the change rate of elevator height data to determine the operation and stop states of the elevator; the gyroscopeacceleration detection device 8 is used for acquiring data of the acceleration and shaking angle directions 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; the elevator door opening detection device 9 is used for acquiring elevator door opening and closing signals; and themonitoring camera device 10 is used for acquiring a real-time picture state when an elevator fault occurs and uploading the state to the third-party service platform 5 through the fault detection server 2, and the elevator door opening detection device 9, the elevator running height detection device 7, the gyroscopeacceleration detection device 8, thepassenger detection device 6 in the car and themonitoring camera device 10 are all connected with the fault detection server 2. The fault detection server 2 can be an elevator management platform, the elevator management platform determines common faults of an elevator through logic judgment, fault signals and photos are remotely transmitted to a third-party service platform 5, and the third-party service platform 5 is any one or two of a relay server, a 3G/4G communication server and a WeChat data communication server; the fault monitoring system is sent to a mobile terminal of a maintenance worker through a third-party service platform 5, the mobile terminal is a mobile phone or maintenance communication equipment and the like, and remote elevator fault monitoring is achieved.

Further, the detection terminal further comprises a bearingshell 31, awiring terminal 38 and a drivingcircuit 39, thepassenger detection device 6 in the elevator car adopts the infraredhuman body sensor 35, if the elevator car is occupied during operation, the infrared sensor sends a signal of the occupied person, once the elevator stops in the operation state, if the elevator does not open the door within a set time of n seconds, the elevator fault detection server 2 serves as an interactive terminal to judge and confirm that the elevator is in fault and is closed according to input parameter logic, and the emergency rescue program is sent out in time. The elevator running height detection device 7 adopts aheight sensor 33, and whether the elevator runs up and down is known through the change rate of the altitude of theheight sensor 33; and when the change rate of the height is zero, judging that the elevator is not in the running state. The gyroscopeacceleration detection device 8 adopts anacceleration sensor 36, theacceleration sensor 36 adopts agyroscope sensor 34, the elevator door opening detection device 9 adopts adoor opening sensor 37, thedoor opening sensor 37 is a distance test switch, and the elevator door opening state is acquired and stored according to the distance between thedoor opening sensor 37 and the distance test switch arranged on an elevator car door. Themonitoring camera device 10 employs amonitoring camera 32 for timely acquiring a real-time image under a fault condition.

In this embodiment, the carryingcase 31 is a closed cavity structure with a rectangular cross section, theheight sensor 33, theacceleration sensor 36 and the drivingcircuit 39 are all embedded in the carryingcase 31, at least one of themonitoring cameras 32 is hinged to the outer surface of the carryingcase 31 through theturntable mechanism 30, an optical axis of themonitoring camera 32 forms an included angle of 0 to 120 degrees with the horizontal plane, the infraredhuman body sensor 35 and the connectingterminal 38 are all embedded in the outer surface of the carryingcase 31, wherein the optical axis of the infraredhuman body sensor 35 forms an included angle of 0 to 120 degrees with the horizontal plane, at least one of thedoor opening sensors 37 is electrically connected with the connectingterminal 38 through awire 301 and is connected with the elevator door, the drivingcircuit 39 is electrically connected with the monitoringcamera 32, theheight sensor 33, the infraredhuman body sensor 35, theacceleration sensor 36, thedoor opening sensor 37 and the connectingterminal 38 respectively, theconnection terminal 38 is further electrically connected to thecommunication network 1 and to the elevator car power supply. The invention uses the additional infraredhuman body sensor 35 to obtain whether the elevator has human parameters, uses theheight sensor 33 to obtain the position of the elevator car, and acquires the height data change rate of theheight sensor 33 to determine the running and stopping states of the elevator; the elevator operation vertical shaking and horizontal shaking states are acquired through data acquisition of the acceleration and the angle direction of theacceleration sensor 36, the operation and stop states of the elevator are determined, a switch is installed on a car door, elevator opening and closing signals are acquired, common faults of the elevator are determined through logic judgment, fault signals and pictures are remotely transmitted to an elevator management platform, and the elevator management platform is pushed to a mobile phone of a designated person through WeChat to realize remote elevator fault monitoring.

In this embodiment, the carryingcase 31 is further provided with anauxiliary power source 302, aspeaker 303, amicrophone 304 and an illuminatinglamp 305, wherein the illuminatinglamp 305 and themonitoring camera 32 are hinged to the carryingcase 31 through theturntable mechanism 30, an optical axis of the illuminatinglamp 305 and an optical axis of themonitoring camera 32 are distributed in parallel, theauxiliary power source 302, thespeaker 303 and themicrophone 304 are all embedded in the carryingcase 31, theauxiliary power source 302, thespeaker 303, themicrophone 304 and the illuminatinglamp 305 are all electrically connected to the drivingcircuit 39, and a plurality of throughholes 306 are formed in the side surface of the carryingcase 31 corresponding to thespeaker 303 and themicrophone 304.

In addition, the drivingcircuit 39 is a circuit system based on one or two of a programmable controller and an industrial single chip microcomputer, and the drivingcircuit 39 is additionally provided with a charge-discharge control circuit, a field effect circuit based on an MOS (metal oxide semiconductor) tube and a network data communication device.

As shown in fig. 4, the specific detection method of this embodiment includes the following steps:

s1, system networking, firstly constructing a fault detection server, setting at least one detection terminal in each elevator according to the number of elevators in the coverage area of the fault detection server, setting a plurality of alarm terminals according to elevator maintenance workers, allocating an alarm terminal to each worker, then respectively recording the positions of elevator equipment, the alarm terminals and hardware and software identification codes of the detection terminals by the fault detection server, allocating data communication protocols, finally installing each detection terminal on corresponding elevator equipment, and simultaneously inputting the identity information of each worker through the alarm terminals, thereby completing the system networking operation of the invention;

s2, monitoring the operation of the elevator, wherein in the operation of the elevator, the detection terminal monitors the operation state of the elevator car, synchronously sends the data of the monitoring operation to the fault detection server, the fault detection server identifies, analyzes and judges the detection data, and when the elevator is in the fault state, on one hand, the detection terminal carries out fault early warning on the inside of the elevator car; and on the other hand, the alarm information is sent to a corresponding alarm terminal, and the alarm operation is carried out.

In this embodiment, in the step S1, during system networking, each alarm terminal is connected to a plurality of detection terminals to form a monitoring service subsystem, and the plurality of monitoring service subsystems are connected to each other through a communication network to form a maintenance service lan.

When the elevator normally operates, the elevator arrives at a designated floor, the door opening time of the elevator does not exceed the set time N seconds, the elevator arrives at a station and opens a door, the elevator closes the door after passengers enter and exit, the elevator continues to operate at the next station, and when no passenger exists, the elevator automatically closes the door and is in a standby state; the method for identifying, analyzing and judging the detection data by the fault detection server is as follows:

(1) elevator power failure judgment

Through the standby power supply, the system continues to operate after power failure, and a power failure signal is monitored and reported;

(2) elevator door not-closing judgment

a) When the altitude change rate of the altitude sensor is zero, setting the altitude change rate as zero starting time, namely the elevator is in a stop state, and judging that the elevator does not close the door if the elevator exceeds the set time for N seconds and does not have a door signal;

b) the door opening signal of the elevator is input to start to calculate time, and if the irrelevant door signal is detected after N minutes, the fault that the elevator does not close the door is judged;

if one of the condition a) and the condition b) is satisfied, triggering suspicious instruction early warning, and if the two conditions are satisfied simultaneously, judging the elevator fault;

c) elevator arriving station without opening door

When the change rate of the altitude sensor is zero, the elevator enters a stop state from running and is set as zero starting time, the elevator exceeds the set time for N seconds, and if no door opening signal is detected, the elevator is judged to have no door opening fault;

d) elevator fault person closing

When the change rate of the altitude of the height sensor is zero, the elevator enters a stop state from operation and is set as zero starting time, the elevator exceeds the set time for N seconds, no door opening signal is detected, and if a person is detected in the elevator car at the moment, the elevator is judged to be in fault and is closed;

e) elevator door opening in non-flat zone

The door opening and closing sensor has an elevator door opening signal, and the height sensor monitors that the height of the floor where the elevator car is located is not in the flat zone, and judges that the elevator door is opened and is not in the flat zone;

f) elevator operating jitter

The abnormal vertical acceleration of the acceleration sensor is judged as the running shake of the elevator;

g) horizontal sway of elevator

If the horizontal angular acceleration of the acceleration sensor is abnormal, judging that the elevator horizontally shakes;

h) the elevator does not operate for a set time,

1) when the elevator is triggered after the set time is exceeded, the elevator is triggered by a door opening and closing signal but no running signal from 6 am to 12 pm;

2) the elevator is not provided with a door opening and closing signal or an operation signal and is triggered when the set time is exceeded;

i) detecting whether a person exists in the lift car, if an elevator door closing signal exists, and if the elevator does not have an operation signal after the door is closed, judging that the elevator does not operate;

j) elevator running frequency statistics

After the door closing signal of the elevator is provided, an elevator running signal is provided, and the system records once, namely the elevator runs once.

The invention obtains the following parameters through aheight sensor 33, an infraredhuman body sensor 35, anacceleration sensor 36 and adoor opening sensor 37 on the elevator car, and the elevator runs and stops; opening and closing an elevator door; presence/absence of a person in the elevator car; a change in elevator acceleration; car height; the uploaded monitoring data are logically judged, namely various types of faults of the elevator are judged through logical analysis set by an edge brain, whether the elevator breaks down or not can be comprehensively judged, the fault type is judged, fault signals are sent to maintenance personnel in a WeChat mode, false alarm is generated for preventing the sensitivity of the sensor, when each fault happens, a photographing function is triggered by a system, the actual situation scene of the current car is photographed, and a sending platform is used for judging the personnel.

The system of the invention has simple structure, good universality and convenient installation and maintenance, is an independent monitoring system, is not associated with the control system of the elevator and is suitable for elevators of any model. On the one hand, comprehensive and accurate monitoring operation on the operation state of the elevator can be effectively realized under the condition of not interfering an independent operation control system of the elevator, and the working efficiency, automation, intelligent degree and monitoring precision of data operation are high, so that the operation safety and reliability of elevator equipment and the working efficiency of elevator fault finding and removing operation are greatly improved; on the other hand, the flexibility and the convenience of the networking operation of the elevator monitoring system are effectively improved, the timeliness and the reliability of data communication interaction operation during the networking operation are effectively improved, meanwhile, the convenience of the expansion, adjustment and maintenance operation of the elevator monitoring system is effectively improved, and the cost of the operation and maintenance operation of the system is reduced; 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.

It will be appreciated by persons skilled in the art that the present invention is not limited by the embodiments described above. The foregoing embodiments and description have been presented only to illustrate the principles of the invention. Various changes and modifications can be made without departing from the spirit and scope of the invention. Such variations and modifications are intended to be within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (10)

1. The utility model provides an automatic monitoring elevator fault detection system which characterized in that: the fault diagnosis system comprises a communication network (1), a fault detection server (2), alarm terminals (3) and a plurality of detection terminals (4) and a plurality of alarm terminals (3), wherein each detection terminal (4) and each alarm terminal (3) are respectively connected with the fault detection server (2) through the communication network (1) and establish data connection, the fault detection server (2) comprises a BP neural network system adopting a C/S structure and a B/S structure, an LSTM-based intelligent prediction system and a deep learning neural network system which are cooperatively operated with the BP neural network system, a SOA-based main program system, an image recognition processing system, a platform subsystem and a high-definition video signal transmission subsystem are additionally arranged in the fault detection server (2), and the image recognition processing system, the platform subsystem and the high-definition video signal transmission subsystem are all in data connection with the SOA-based main program system, the fault detection server (2) establishes data connection with a third-party service platform (5) through a communication network (1);

the detection terminal (4) comprises:

the passenger detection device (6) in the car is used for acquiring passenger parameters in the car;

the elevator operation height detection device (7) is used for acquiring the change rate of elevator height data to determine the operation and stop states of the elevator;

the gyroscope acceleration detection device (8) is used for acquiring data of the acceleration and shaking angle directions 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;

the elevator door opening detection device (9) is used for acquiring elevator door opening and closing signals;

the monitoring camera device (10) is used for acquiring the real-time picture state when the elevator fault occurs and uploading the real-time picture state to the third-party service platform (5) through the fault detection server (2); the elevator door opening detection device (9), the elevator running height detection device (7), the gyroscope acceleration detection device (8), the passenger detection device (6) in the car and the monitoring camera device (10) are all connected with the fault detection server (2).

2. The automatic monitoring elevator fault detection system of claim 1, characterized in that: the deep learning neural network system is a neural network system based on convolution operation, a self-coding neural network based on multilayer neurons and pre-training in a multilayer self-coding neural network mode, and then any one or more of the deep neural networks with the weights of the neural networks are further optimized by combining identification information.

3. The automatic monitoring elevator fault detection system of claim 1, characterized in that: the detection terminal (4) further comprises a bearing shell (31), a wiring terminal (38) and a driving circuit (39), an infrared human body sensor (35) is adopted by the passenger detection device (6) in the car, a height sensor (33) is adopted by the elevator running height detection device (7), an acceleration sensor (36) is adopted by the gyroscope acceleration detection device (8), a door opening sensor (37) is adopted by the elevator door opening detection device (9), and a monitoring camera (32) is adopted by the monitoring camera device (10);

the bearing shell (31) is of a closed cavity structure with a rectangular cross section, the height sensor (33), the acceleration sensor (36) and the driving circuit (39) are all embedded in the bearing shell (31), at least one monitoring camera (32) is hinged to the outer surface of the bearing shell (31) through the turntable mechanism (30), the optical axis of the monitoring camera (32) forms an included angle of 0-120 degrees with the horizontal plane, the infrared human body sensor (35) and the wiring terminal (38) are all embedded in the outer surface of the bearing shell (31), and the optical axis of the infrared human body sensor (35) forms an included angle of 0-120 degrees with the horizontal plane; at least one door opening sensor (37) is electrically connected with the wiring terminal (38) through a wire (301) and is connected with the elevator door; drive circuit (39) respectively with surveillance camera head (32), height sensor (33), infrared human body sensor (35), acceleration sensor (36), door opening sensor (37), binding post (38) electrical connection, binding post (38) in addition with communication network (1) and elevator car power electrical connection.

4. An automatic monitoring elevator fault detection system according to claim 3, characterized in that: the bearing shell (31) is additionally provided with an auxiliary power supply (302), a loudspeaker (303), a microphone (304) and an illuminating lamp (305), wherein the illuminating lamp (305) and the monitoring camera (32) are hinged with the bearing shell (31) through a rotary table mechanism (30), the optical axis of the illuminating lamp (305) and the optical axis of the monitoring camera (32) are distributed in parallel, the auxiliary power supply (302), the loudspeaker (303) and the microphone (304) are all embedded in the bearing shell (31), the auxiliary power supply (302), the loudspeaker (303), the microphone (304) and the illuminating lamp (305) are all electrically connected with a driving circuit (39), and a plurality of through holes (306) are formed in the side surface of the bearing shell (31) corresponding to the loudspeaker (303) and the microphone (304).

5. An automatic monitoring elevator fault detection system according to claim 3, characterized in that: the drive circuit (39) is a circuit system based on any one or two of a programmable controller and an industrial singlechip, and the drive circuit (39) is additionally provided with a charge-discharge control circuit, a field effect circuit based on an MOS (metal oxide semiconductor) tube and a network data communication device.

6. The system of claim 1, wherein the system further comprises: the communication network (1) is an internet of things data communication network comprising at least one online communication network (1) and at least one wireless communication network (1).

7. The system of claim 1, wherein the system further comprises: the third-party service platform (5) is shared by any one or two of a relay server, a 3G/4G communication server and a WeChat data communication server.

8. The detection method of an automatic monitoring elevator fault detection system according to any one of claims 1-7, characterized in that: the method comprises the following steps:

s1, networking the system, firstly constructing a fault detection server (2), setting at least one detection terminal (4) for each elevator according to the number of elevators in the coverage area of the fault detection server (2), simultaneously setting a plurality of alarm terminals (3) according to elevator maintenance workers, allocating an alarm terminal (3) for each worker, then respectively recording the positions of the elevator devices, the hardware and software identification codes of the alarm terminals (3) and the detection terminals (4) by the fault detection server (2), allocating data communication protocols, finally installing the detection terminals (4) on the corresponding elevator devices, and simultaneously inputting the identity information of the workers by the alarm terminals (3), thereby completing the networking operation of the system;

s2, monitoring the operation of the elevator, wherein in the operation of the elevator, the detection terminal (4) is used for monitoring the operation state of the elevator car, the data of the monitoring operation is synchronously sent to the fault detection server (2), the fault detection server (2) is used for identifying, analyzing and judging the detection data, and when the operation of the elevator is in a fault state, on one hand, the detection terminal (4) is used for carrying out fault early warning on the inside of the elevator car; on the other hand, the alarm information is sent to the corresponding alarm terminal (3) to carry out alarm operation.

9. The method of claim 8, wherein the step of automatically monitoring the elevator fault detection system comprises the steps of: and S1, in the step of system networking, each alarm terminal (3) is connected with a plurality of detection terminals (4) to form a monitoring service subsystem, the monitoring service subsystems are a plurality of, and the alarm terminals (3) of the monitoring service subsystems are connected with each other through a communication network (1) to form a maintenance service local area network.

10. The method of claim 8, wherein the step of automatically monitoring the elevator fault detection system comprises the steps of: in the step S2, when the elevator normally runs, the elevator reaches the designated floor, the door opening time of the elevator does not exceed the set time N seconds, the elevator arrives at a station and opens the door, the elevator closes the door after passengers enter and exit, the elevator continues to run at the next station, and when no passenger exists, the elevator automatically closes the door and is in a standby state; the method for identifying, analyzing and judging the detection data by the fault detection server is as follows:

(1) elevator power failure judgment

Through the standby power supply, the system continues to operate after power failure, and a power failure signal is monitored and reported;

(2) elevator door not-closing judgment

a) When the altitude change rate of the altitude sensor is zero, setting the altitude change rate as zero starting time, namely the elevator is in a stop state from running, and judging that the elevator does not close the door if the elevator exceeds the set time for N seconds and does not have a door signal;

b) the door opening signal of the elevator is input to start to calculate time, and if the irrelevant door signal is detected after N minutes, the fault that the elevator does not close the door is judged;

if one of the condition a) and the condition b) is established, triggering suspicious instruction early warning; if the two are simultaneously established, judging the elevator fault;

c) elevator arriving station without opening door

When the change rate of the altitude sensor is zero, the elevator enters a stop state from running and is set as zero starting time, the elevator exceeds the set time for N seconds, and if no door opening signal is detected, the elevator is judged to have no door opening fault;

d) elevator fault person closing

When the change rate of the altitude of the height sensor is zero, the elevator enters a stop state from operation and is set as zero starting time, the elevator exceeds the set time for N seconds, no door opening signal is detected, and if a person is detected in the elevator car at the moment, the elevator is judged to be in fault and is closed;

e) elevator door opening in non-flat zone

The door opening and closing sensor has an elevator door opening signal, and the height sensor monitors that the height of the floor where the elevator car is located is not in the flat zone, and judges that the elevator door is opened and is not in the flat zone;

f) elevator operating jitter

Judging that the elevator runs in a shaking mode if the vertical acceleration of the acceleration sensor is abnormal;

g) horizontal sway of elevator

If the horizontal angular acceleration of the acceleration sensor is abnormal, judging that the elevator horizontally shakes;

h) the elevator does not operate for a set time,

1) when the elevator is triggered after the set time is exceeded, the elevator is triggered by a door opening and closing signal but no running signal from 6 am to 12 pm;

2) the elevator is not provided with a door opening and closing signal or an operation signal and is triggered when the set time is exceeded;

i) detecting whether a person exists in the lift car, if an elevator door closing signal exists, and if the elevator does not have an operation signal after the door is closed, judging that the elevator does not operate;

j) elevator running frequency statistics

After the door closing signal of the elevator is provided, an elevator running signal is provided, and the system records once, namely the elevator runs once.

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