CN111498630B - Remote elevator inspection video auxiliary diagnosis method - Google Patents

Remote elevator inspection video auxiliary diagnosis method Download PDF

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Publication number
CN111498630B
CN111498630B CN202010403404.0A CN202010403404A CN111498630B CN 111498630 B CN111498630 B CN 111498630B CN 202010403404 A CN202010403404 A CN 202010403404A CN 111498630 B CN111498630 B CN 111498630B
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elevator
inspection
data
module
alarm
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CN111498630A (en
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王晓桥
寇彦飞
孙南
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Shaanxi Special Equipment Inspection And Testing Institute
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Shaanxi Special Equipment Inspection And Testing Institute
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B5/00Applications of checking, fault-correcting, or safety devices in elevators
    • B66B5/0006Monitoring devices or performance analysers
    • B66B5/0018Devices monitoring the operating condition of the elevator system
    • B66B5/0031Devices monitoring the operating condition of the elevator system for safety reasons
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B3/00Applications of devices for indicating or signalling operating conditions of elevators
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B5/00Applications of checking, fault-correcting, or safety devices in elevators
    • B66B5/02Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions

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  • Indicating And Signalling Devices For Elevators (AREA)
  • Maintenance And Inspection Apparatuses For Elevators (AREA)

Abstract

The invention discloses a remote elevator inspection video auxiliary diagnosis method, which comprises the following steps: s1, the inspector logs in the system from the terminal inspection module and gets the inspection task from the server after logging in; s2, after the inspector gets the inspection task, the inspector goes to the elevator inspection site to inspect and make an inspection report, and takes pictures and videos at the same time, and transmits the inspection report and the pictures back to the server module; s3, the operator of the service end module checks and approves the inspection report to determine the running condition of the elevator to be inspected; s4, remotely monitoring the whole operation condition of the elevator through the remote monitoring module while detecting by field inspectors; the mobile terminal inspection module and the service terminal module realize data interaction through interfaces to form a complete elevator inspection system, so that the inspection efficiency and the inspection accuracy are improved; the elevator is monitored for 24 hours by the inspection system combined with the internet of things remote monitoring module, so that the safety of the elevator is greatly improved.

Description

Remote elevator inspection video auxiliary diagnosis method
Technical Field
The invention belongs to the field of elevator inspection, and particularly relates to a remote elevator inspection video auxiliary diagnosis method.
Background
In recent years, cities develop rapidly, and elevators are indispensable instrument of city development, and this will lead to the sharp increase of elevator quantity, and the elevator not only has huge effect improving city resident living standard, simultaneously because self particularity, in case the elevator takes place safety failure and can bring important safety influence to people.
The management level of the elevator and the operation monitoring level of the elevator are relatively lagged at present, the traditional elevator monitoring system has no relatively perfect management mode, the system universality and compatibility are poor, and the old monitoring system has low failure removal rate; at present, the monitoring of the elevator is only limited to the calling inside and outside the elevator and the monitoring of the signal state of the elevator door, the method is single, meanwhile, the elevator monitoring department is also limited to the property department and the elevator maintainer, the monitoring efficiency is low, and the elevator accident avoidance is not facilitated.
Chinese patent application 201220474424.8 discloses an elevator monitoring system, which includes an elevator monitoring terminal, a safety information management server, an information acquisition unit and an elevator controller, wherein the elevator monitoring terminal is connected with the information management server through a 3G communication network, and the elevator controller and the elevator monitoring terminal are connected with the information acquisition unit respectively.
Chinese patent application 201520448599.5 discloses an elevator monitoring system, which includes an external elevator signal input device, an elevator monitoring terminal, a monitoring host and a cloud server. The elevator monitoring terminal receives signals output by an external elevator signal input device, transmits the signals to the monitoring host through the Ethernet, uploads data to the cloud server through a wired network or a 3G wireless network, analyzes the data through a cloud technology, and then adjusts the working mode of the elevator monitoring terminal. The elevator monitoring terminal comprises an ARM, a CORTEX, an M3 processor, a signal acquisition module, an Ethernet communication module and a 3G wireless network module.
However, in the prior art, the elevator monitoring and checking efficiency is low, the accuracy is low, the elevator monitoring and checking system is single, and the monitoring and checking effect is poor.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a remote elevator inspection video auxiliary diagnosis method, which solves the problems in the background art, realizes data interaction between a mobile terminal inspection module and a service terminal module through interfaces to form a complete elevator inspection system, and improves the inspection efficiency and the inspection accuracy; the elevator is monitored for 24 hours by the inspection system and the Internet of things remote monitoring module, so that the safety of the elevator is greatly improved, and the life and property safety of people is ensured.
The invention provides the following technical scheme:
a remote elevator inspection video assisted diagnostic method comprising the steps of:
s1, the inspector logs in the system from the terminal inspection module and gets the inspection task from the server after logging in;
s2, after the inspector gets the inspection task, the inspector goes to the elevator inspection site to inspect and make an inspection report, and takes pictures and videos at the same time, and transmits the inspection report and the pictures back to the server module;
s3, the operator of the service end module checks and approves the inspection report to determine the running condition of the elevator with inspection;
s4, remotely monitoring the whole operation condition of the elevator through the remote monitoring module while detecting by field inspectors; and generating a detection report through the control module to clarify the operation fault condition of the elevator.
Preferably, in step S1, when the inspector logs in the terminal inspection module system, identity authentication is required, and the identity authentication adopts one or more authentication modes of password authentication, fingerprint authentication, face recognition, and hand-written signature.
Preferably, in step S1, the inspector completes the inspection form declaration work through the server module, and then the operator of the server module generates a task form for declaring the inspection form, and performs task allocation for designating the inspector on the task form, and after the task is allocated, the inspector logs in the system and receives the task.
Preferably, in step S3, the status of the elevator inspection report is classified into 3 types: normal, abnormal and alarm; the elevator system with no alarm indexes exceeding the alarm threshold value at all the check points is normal; when a certain alarm index exceeds an alarm threshold value, the alarm index is abnormal; and (4) alarming: when a certain index of the system exceeds an alarm threshold value, the system can send out an alarm signal, and when the system returns to normal, the alarm signal is released.
Preferably, in step S4, the program monitoring module includes: a, a data acquisition module acquires elevator operation data through a sensor and analyzes and processes the elevator operation data; b, the processed data is sent to a GPRS module through serial port communication; c, the GPRS module carries out packaging processing on the received elevator data, wherein the elevator data comprises the ID number of the data acquisition sensor, the IP address and the port number of the background control center; d, after the data packets are formed by packaging, the data packets are transmitted to the control module by the GPRS module through each gateway and the router of the Internet; and e, decompressing the transmitted data packet by the control module, then returning source data, processing the data according to different functional requirements, and finally storing the processed data into a database.
Preferably, the control module analyzes the collected elevator data information, and comprises the following steps: a1, detecting and analyzing data characteristic extraction; a2, establishing a database; a3, layering new data sets; a4, obtaining a new data result; the fault information of the elevator can be accurately judged conveniently, and the detection is accurate.
Preferably, the diagnosis method adopts a remote elevator inspection video auxiliary system, which comprises a mobile terminal inspection module and a service terminal module; the video inspection auxiliary system also comprises a remote monitoring module, and the mobile terminal inspection module comprises identity authentication, a task of picking up, on-site inspection and photo video; the server module comprises a review application, task allocation, inspection report auditing and inspection report approval;
the remote monitoring module comprises a data acquisition module, a data transmission module and a control module; the data acquisition module is used for acquiring data information of the running elevator and then transmitting the data information to the control module through the transmission module; the data transmission module supports a GPRS network transmission form and adopts a fixed IP of a public network; the control module receives the elevator operation data information, analyzes and processes the elevator operation data information, extracts various required data and achieves the purposes of monitoring and checking the elevator.
Preferably, the mobile terminal inspection module needs to perform data interaction with the server terminal module, the mobile terminal inspection module needs to acquire inspection task order information from the server terminal module, after inspection personnel complete inspection, an inspection report is transmitted back to the server terminal module, and the server terminal performs inspection report auditing and approval.
Preferably, the data acquisition module corresponds to an induction layer of the internet of things, is a source of the whole inspection system, and acquires various state information of elevator operation in real time; the data transmission module corresponds to a transmission layer of the Internet of things, and the transmission layer transmits data of the induction layer to a server of the control module in a reliable communication mode.
Preferably, the control module corresponds to an application layer of the internet of things, and the server receives, classifies, analyzes and processes data information sent by the transmission layer and stores the data information into the database, so that various conditions of the elevator can be inquired, fault diagnosis and fault alarm processing can be performed in time, and the elevator can be inspected.
Preferably, the sensor of the data acquisition module comprises an upper flat sensor, a lower flat sensor, an upper limit sensor, a lower limit sensor, a door switch sensor and an infrared human body sensor.
Preferably, the transmission module establishes communication connection between the GPRS communication module and the control module, performs communication through an RS232 interface, and sends an AT instruction to operate the GPRS communication module to continue to screw data baud rate setting, PDP context activation, and GPRS gateway setting operations.
Preferably, the control module analyzes the collected elevator data information, and includes the following steps: a1, detecting and analyzing data characteristic extraction; a2, establishing a database; a3, layering new data sets; a4, obtaining a new data result; the fault information of the elevator can be accurately judged conveniently, and the detection is accurate.
In addition, A1, detecting and analyzing data feature extraction, namely, firstly segmenting data during original data processing, then extracting a feature body of each segment of data, and selecting data features such as a time domain, a frequency domain, a time-frequency domain and the like; a2, establishing a database, layering data characteristic signals according to the running speed and the fault degree of the elevator, finding out the clustering center of each layer by using a clustering algorithm for each layer to obtain a few fault type sets, and extracting better classification and training results by performing classifier training on each subclass; a3, layering the new data set, firstly, calculating the center of no cluster data of the new data set through clustering, then calculating Euclidean distance with each layer of clustering centers of the database established in A2, and then adding the distance of each clustering center of the new data set; the distance sum is the minimum, and new data is layered; a4, obtaining new data elevator test results, judging that the data in A3 belongs to a smaller set to the bottommost layer by using the A4 method after the data in A3 arrives at a certain layer, and then carrying out elevator fault diagnosis on the trained classifier to obtain a fault result.
Preferably, the states of the elevator inspection are classified into 3 types: normal, abnormal and alarm; the elevator system with no alarm indexes exceeding the alarm threshold value at all the check points is normal; when a certain alarm index exceeds an alarm threshold value, the alarm index is abnormal; and (4) alarming: when a certain index of the system exceeds an alarm threshold value, the system can send out an alarm signal, and when the system returns to normal, the alarm signal is released.
In order to increase the accuracy of elevator inspection, when the alarm threshold value does not obtain the monitoring and analyzing result of the control module, the alarm threshold value y calculates data indexes according to normal data in each working state, and then according to the mean value mu and the standard variance sigma of the data indexes, the alarm threshold value y meets the following relation:
y=β·(2μ+2σ)1/2
beta is a relation factor, and the value range is 0.985-7.359.
Preferably, the users of the whole inspection system comprise inspectors, inspection personnel, inspection room personnel and special inspection hospital personnel, the inspectors can carry out operation inspection by using terminal inspection equipment such as mobile phones, take pictures to obtain evidences, and transmit the pictures to the server module for inspection report auditing and inspection report approval through data interaction. Other workers log in the Web service system through a computer by using a browser, and a system server provides various operations.
The identity authentication of the terminal inspection module mainly comprises one or more authentication modes of password authentication, fingerprint authentication, face recognition and hand-written signature.
The working steps of the remote monitoring module comprise: a, a data acquisition module acquires elevator operation data through a sensor and analyzes and processes the elevator operation data; b, the processed data is sent to a GPRS module through serial port communication; c, the GPRS module carries out packaging processing on the received elevator data, wherein the elevator data comprises the ID number of the data acquisition sensor, the IP address and the port number of the background control center; d, after the data packets are formed by packaging, the data packets are transmitted to the control module by the GPRS module through each gateway and the router of the Internet; and e, decompressing the transmitted data packet by the control module, then returning source data, processing the data according to different functional requirements, and finally storing the processed data into a database.
Compared with the prior art, the invention has the following beneficial effects:
(1) the invention relates to a remote elevator inspection video auxiliary diagnosis method.A mobile end inspection module and a service end module realize data interaction through interfaces to form a complete elevator inspection system, so that the inspection efficiency and the inspection accuracy are improved, and the stability and the safety of the elevator system are improved; the operation is convenient, and the working efficiency is improved.
(2) The invention relates to a remote elevator inspection video auxiliary diagnosis method, which monitors an elevator for 24 hours by an inspection system and a combination networking remote monitoring module, greatly improves the safety of the elevator and ensures the safety of lives and properties of people.
(3) The invention relates to a remote elevator inspection video auxiliary diagnosis method, which strengthens the supervision of elevator equipment, prevents elevators which do not conform to the quality from running, reduces the occurrence of elevator safety accidents, forms an elevator quality control system and facilitates the supervision.
(4) The invention relates to a remote elevator inspection video auxiliary diagnosis method, which further increases the accuracy of elevator inspection by limiting the relation among y, mu and sigma, does not need human participation by a remote monitoring function module, and greatly improves the safety monitoring and effect of an elevator.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flow chart of the steps of the present invention.
Fig. 2 is an overall architecture diagram of the system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described in detail and completely with reference to the accompanying drawings. It is to be understood that the described embodiments are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Example one
As shown in fig. 1, a remote elevator inspection video-assisted diagnostic method includes the steps of:
s1, the inspector logs in the system from the terminal inspection module and gets the inspection task from the server after logging in;
s2, after the inspector gets the inspection task, the inspector goes to the elevator inspection site to inspect and make an inspection report, and takes pictures and videos at the same time, and transmits the inspection report and the pictures back to the server module;
s3, the operator of the service end module checks and approves the inspection report to determine the running condition of the elevator with inspection;
s4, remotely monitoring the whole operation condition of the elevator through the remote monitoring module while detecting by field inspectors; and generating a detection report through the control module to clarify the operation fault condition of the elevator.
In step S1, when the inspector logs in the terminal inspection module system, identity authentication is required, and the identity authentication is performed by using one or more authentication methods of password authentication, fingerprint authentication, face recognition, and handwritten signature.
In step S1, the inspector completes the inspection form declaration work through the server module, and then the operator of the server module generates a task form for declaring the inspection form, and performs task allocation for designating the inspector on the task form, and after the task is allocated, the inspector logs in the system and receives the task.
In step S3, the status of the elevator inspection report is classified into 3 types: normal, abnormal and alarm; the elevator system with no alarm indexes exceeding the alarm threshold value at all the check points is normal; when a certain alarm index exceeds an alarm threshold value, the alarm index is abnormal; and (4) alarming: when a certain index of the system exceeds an alarm threshold value, the system can send out an alarm signal, and when the system returns to normal, the alarm signal is released.
In step S4, the program monitoring module includes: a, a data acquisition module acquires elevator operation data through a sensor and analyzes and processes the elevator operation data; b, the processed data is sent to a GPRS module through serial port communication; c, the GPRS module carries out packaging processing on the received elevator data, wherein the elevator data comprises the ID number of the data acquisition sensor, the IP address and the port number of the background control center; d, after the data packets are formed by packaging, the data packets are transmitted to the control module by the GPRS module through each gateway and the router of the Internet; and e, decompressing the transmitted data packet by the control module, then returning source data, processing the data according to different functional requirements, and finally storing the processed data into a database.
The control module analyzes the collected elevator data information and comprises the following steps: a1, detecting and analyzing data characteristic extraction; a2, establishing a database; a3, layering new data sets; a4, obtaining a new data result; the fault information of the elevator can be accurately judged conveniently, and the detection is accurate.
Example two:
referring to fig. 2, the diagnostic system employs a remote video auxiliary system for elevator inspection, which includes a mobile terminal inspection module and a server terminal module; the video inspection auxiliary system also comprises a remote monitoring module, and the mobile terminal inspection module comprises identity authentication, a task of picking up, on-site inspection and photo video; the server module comprises a review application, task allocation, inspection report auditing and inspection report approval;
the remote monitoring module comprises a data acquisition module, a data transmission module and a control module; the data acquisition module is used for acquiring data information of the running elevator and then transmitting the data information to the control module through the transmission module; the data transmission module supports a GPRS network transmission form and adopts a fixed IP of a public network; the control module receives the elevator operation data information, analyzes and processes the elevator operation data information, extracts various required data and achieves the purposes of monitoring and checking the elevator.
The mobile terminal inspection module needs to perform data interaction with the server terminal module, the mobile terminal inspection module needs to acquire inspection task list information from the server terminal module, after inspection personnel complete inspection, an inspection report is transmitted back to the server terminal module, and the server terminal performs inspection report verification and approval.
The data acquisition module corresponds to an induction layer of the Internet of things, is a source of the whole inspection system and acquires various state information of elevator operation in real time; the data transmission module corresponds to a transmission layer of the Internet of things, and the transmission layer transmits data of the induction layer to a server of the control module in a reliable communication mode.
The control module corresponds to an application layer of the Internet of things, and the server receives, classifies, analyzes and processes data information sent by the transmission layer and stores the data information into the database, so that various conditions of the elevator can be inquired, fault diagnosis and fault alarm processing can be performed in time, and the elevator can be inspected.
The sensor of the data acquisition module comprises an upper flat layer sensor, a lower flat layer sensor, an upper limit sensor, a lower limit sensor, a door switch sensor and an infrared human body sensor.
The transmission module establishes communication connection between the GPRS communication module and the control module, communicates through an RS232 interface, and sends an AT instruction to operate the GPRS communication module to continue to screw data baud rate setting, PDP context activation and GPRS gateway setting operation.
Example three:
on the basis of the first embodiment and the second embodiment, the control module analyzes the collected elevator data information and comprises the following steps: a1, detecting and analyzing data characteristic extraction; a2, establishing a database; a3, layering new data sets; a4, obtaining a new data result; the fault information of the elevator can be accurately judged conveniently, and the detection is accurate.
In addition, A1, detecting and analyzing data feature extraction, namely, firstly segmenting data during original data processing, then extracting a feature body of each segment of data, and selecting data features such as a time domain, a frequency domain, a time-frequency domain and the like; a2, establishing a database, layering data characteristic signals according to the running speed and the fault degree of the elevator, finding out the clustering center of each layer by using a clustering algorithm for each layer to obtain a few fault type sets, and extracting better classification and training results by performing classifier training on each subclass; a3, layering the new data set, firstly, calculating the center of no cluster data of the new data set through clustering, then calculating Euclidean distance with each layer of clustering centers of the database established in A2, and then adding the distance of each clustering center of the new data set; the distance sum is the minimum, and new data is layered; a4, obtaining new data elevator test results, judging that the data in A3 belongs to a smaller set to the bottommost layer by using the A2 method after the data in A3 arrives at a certain layer, and then carrying out elevator fault diagnosis on the trained classifier to obtain a fault result.
Example four
The difference from the first and second embodiments is that the states of the elevator inspection are classified into 3 types: normal, abnormal and alarm; the elevator system with no alarm indexes exceeding the alarm threshold value at all the check points is normal; when a certain alarm index exceeds an alarm threshold value, the alarm index is abnormal; and (4) alarming: when a certain index of the system exceeds an alarm threshold value, the system can send out an alarm signal, and when the system returns to normal, the alarm signal is released.
In order to increase the accuracy of elevator inspection, when the alarm threshold value does not obtain the monitoring and analyzing result of the control module, the alarm threshold value y calculates data indexes according to normal data in each working state, and then according to the mean value mu and the standard variance sigma of the data indexes, the alarm threshold value y meets the following relation:
y=β·(2μ+2σ)1/2
beta is a relation factor, and the value range is 0.985-7.359.
EXAMPLE five
On the basis of the first embodiment and the second embodiment, the users of the inspection video system comprise inspectors, inspection reporting personnel, inspection room personnel and special inspection hospital personnel, the inspectors can carry out operation inspection by using terminal inspection equipment such as mobile phones and the like, take pictures and obtain evidences, and transmit the pictures to the service end module for inspection report auditing and inspection report approval through data interaction. Other workers log in the Web service system through a computer by using a browser, and a system server provides various operations.
The identity authentication of the terminal inspection module mainly comprises one or more authentication modes of password authentication, fingerprint authentication, face recognition and hand-written signature.
The working steps of the remote monitoring module comprise: a, a data acquisition module acquires elevator operation data through a sensor and analyzes and processes the elevator operation data; b, the processed data is sent to a GPRS module through serial port communication; c, the GPRS module carries out packaging processing on the received elevator data, wherein the elevator data comprises the ID number of the data acquisition sensor, the IP address and the port number of the background control center; d, after the data packets are formed by packaging, the data packets are transmitted to the control module by the GPRS module through each gateway and the router of the Internet; and e, decompressing the transmitted data packet by the control module, then returning source data, processing the data according to different functional requirements, and finally storing the processed data into a database.
The device obtained by the technical scheme is a remote elevator inspection video auxiliary diagnosis method, the mobile end inspection module and the service end module realize data interaction through interfaces to form a complete elevator inspection system, the inspection efficiency and the inspection accuracy are improved, and the stability and the safety of the elevator system are improved; the operation is convenient, and the working efficiency is improved; the elevator is monitored for 24 hours by the inspection system combined with the internet of things remote monitoring module, so that the safety of the elevator is greatly improved, and the life and property safety of people is ensured; the supervision of the elevator equipment is enhanced, the elevator which does not conform to the quality is prevented from running, the occurrence of elevator safety accidents is reduced, and an elevator quality control system is formed and is convenient to supervise; the accuracy of elevator inspection is further improved by limiting the relation among y, mu and sigma, and the safety monitoring and effect of the elevator are greatly improved by the remote monitoring function module without human participation.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and it will be apparent to those skilled in the art that various modifications and variations can be made in the present invention; any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (5)

1. A remote elevator inspection video assisted diagnostic method comprising the steps of:
s1, the inspector logs in the system from the terminal inspection module and gets the inspection task from the server after logging in;
s2, after the inspector gets the inspection task, the inspector goes to the elevator inspection site to inspect and make an inspection report, and takes pictures and videos at the same time, and transmits the inspection report and the pictures back to the server module;
s3, the operator of the service end module checks and approves the inspection report to determine the running condition of the elevator to be inspected; the elevator system with no alarm indexes exceeding the alarm threshold value at all the check points is normal; when a certain alarm index exceeds an alarm threshold value, the alarm index is abnormal; and (4) alarming: when a certain index of the system exceeds an alarm threshold value, the system can send out an alarm signal, and when the system returns to normal, the alarm signal is removed; in order to increase the accuracy of elevator inspection, when the alarm threshold value does not obtain the monitoring and analyzing result of the control module, the alarm threshold value y calculates data indexes according to normal data in each working state, and then according to the mean value mu and the standard variance sigma of the data indexes, the alarm threshold value y meets the following relation: y = β (2 μ +2 σ)1/2(ii) a Beta is a relation factor, and the value range is 0.985-7.359;
s4, remotely monitoring the whole operation condition of the elevator through the remote monitoring module while detecting by field inspectors; generating a detection report through a control module to clarify the operation fault condition of the elevator; the working steps of the remote monitoring module comprise: a, a data acquisition module acquires elevator operation data through a sensor and analyzes and processes the elevator operation data; b, the processed data is sent to a GPRS module through serial port communication; c, the GPRS module carries out packaging processing on the received elevator data, wherein the elevator data comprises the ID number of the data acquisition sensor, the IP address and the port number of the background control center; d, after the data packets are formed by packaging, the data packets are transmitted to the control module by the GPRS module through each gateway and the router of the Internet; and e, decompressing the transmitted data packet by the control module, then returning source data, processing the data according to different functional requirements, and finally storing the processed data into a database.
2. The remote elevator inspection video aided diagnosis method according to claim 1, wherein in step S1, when the inspector logs in the terminal inspection module system, the terminal inspection module system needs to perform identity authentication, and the identity authentication is performed by one or more authentication methods selected from password authentication, fingerprint authentication, face recognition and hand-written signature.
3. The remote elevator inspection video-assisted diagnosis method according to claim 1, wherein in step S1, the inspector completes the inspection sheet declaration work through the server module first, then the operator of the server module generates a task sheet for declaration of the inspection sheet, the task sheet is assigned for the task of the designated inspector, and after the assignment of the task, the inspector logs in the system and picks up the task.
4. The remote video-aided diagnosis method for elevator inspection according to claim 1, wherein in step S3, the status of the inspection report is classified into 3 types: normal, abnormal and alarm; the elevator system with no alarm indexes exceeding the alarm threshold value at all the check points is normal; when a certain alarm index exceeds an alarm threshold value, the alarm index is abnormal; and (4) alarming: when a certain index of the system exceeds an alarm threshold value, the system can send out an alarm signal, and when the system returns to normal, the alarm signal is released.
5. The remote elevator inspection video aided diagnosis method according to claim 1, wherein the control module analyzes the collected elevator data information, comprising the steps of: a1, detecting and analyzing data characteristic extraction; a2, establishing a database; a3, layering new data sets; a4, obtaining a new data result; the fault information of the elevator can be accurately judged conveniently, and the detection is accurate.
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