CN111498631B - Elevator inspection video auxiliary system - Google Patents
Elevator inspection video auxiliary system Download PDFInfo
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- CN111498631B CN111498631B CN202010403406.XA CN202010403406A CN111498631B CN 111498631 B CN111498631 B CN 111498631B CN 202010403406 A CN202010403406 A CN 202010403406A CN 111498631 B CN111498631 B CN 111498631B
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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
- B66B3/00—Applications of devices for indicating or signalling operating conditions of elevators
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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
- B66B5/02—Applications 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 an elevator inspection video auxiliary system, which comprises 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 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 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.
Description
Technical Field
The invention belongs to the field of elevator inspection, and particularly relates to an elevator inspection video auxiliary system.
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 an elevator inspection video auxiliary system, which solves the problems in the background art, the mobile terminal inspection module and the service terminal module realize data interaction through interfaces to form a complete elevator inspection system, and the inspection efficiency and the inspection accuracy are improved; 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:
an elevator inspection video auxiliary system comprises 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.
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: s1, detecting and analyzing data characteristic extraction; s2, establishing a database; s3, layering the new data set; s4, obtaining a new data result; the fault information of the elevator can be accurately judged conveniently, and the detection is accurate.
In addition, S1, 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 time domain, frequency domain and time-frequency domain data features; s2, establishing a database, layering the 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 after performing classifier training on each subclass; s3, layering the new data set, firstly, calculating the center of each cluster of data of the new data set through clustering, then, calculating Euclidean distance from each layer of clustering center of the database established in S2, 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; and S4, obtaining a new data elevator inspection result, judging that the data in the S3 belongs to a smaller set to the bottom layer by using the method of S2 after the data in the S3 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: s1, the data acquisition module acquires elevator operation data through the sensor and analyzes and processes the elevator operation data; s2, the processed data is sent to a GPRS module through serial port communication; s3, the GPRS module packages the received elevator data, including the ID number of the data acquisition sensor, the IP address and the port number of the background control center; s4, the data packets are packed and transmitted to the control module by the GPRS module through each gateway and router of the Internet; and S5, the control module decompresses the transmitted data packet and then returns the source data, performs data processing according to different functional requirements, and finally stores the processed data into a database.
Compared with the prior art, the invention has the following beneficial effects:
(1) according to the elevator inspection video auxiliary system, data interaction is realized between the mobile terminal inspection module and the service terminal module through the 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) According to the elevator inspection video auxiliary system, 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.
(3) The elevator inspection video auxiliary system strengthens the supervision of elevator equipment, prevents elevators which do not conform to quality from running, reduces the occurrence of elevator safety accidents, and forms an elevator quality control system for convenience and supervision.
(4) The elevator inspection video auxiliary system further increases the accuracy of elevator inspection by limiting the relation among y, mu and sigma, does not need human participation through the remote monitoring function module, and greatly improves the safety monitoring and effect of the 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 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.
The first embodiment is as follows:
referring to fig. 1, an elevator inspection video auxiliary system 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 two:
on the basis of the first embodiment, the control module analyzes the collected elevator data information and comprises the following steps: s1, detecting and analyzing data characteristic extraction; s2, establishing a database; s3, layering the new data set; s4, obtaining a new data result; the fault information of the elevator can be accurately judged conveniently, and the detection is accurate.
In addition, S1, 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 time domain, frequency domain and time-frequency domain data features; s2, establishing a database, layering the 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 after performing classifier training on each subclass; s3, layering the new data set, firstly, calculating the center of each cluster of data of the new data set through clustering, then, calculating Euclidean distance from each layer of clustering center of the database established in S2, 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; and S4, obtaining a new data elevator inspection result, judging that the data in the S3 belongs to a smaller set to the bottom layer by using the method of S2 after the data in the S3 arrives at a certain layer, and then carrying out elevator fault diagnosis on the trained classifier to obtain a fault result.
EXAMPLE III
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 four
On the basis of the embodiment, the user of the inspection video system comprises 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 and the like, take pictures and obtain evidences, and transmit the pictures to the server module through data interaction to examine and verify the inspection report and examine and approve the inspection report. 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: s1, the data acquisition module acquires elevator operation data through the sensor and analyzes and processes the elevator operation data; s2, the processed data is sent to a GPRS module through serial port communication; s3, the GPRS module packages the received elevator data, including the ID number of the data acquisition sensor, the IP address and the port number of the background control center; s4, the data packets are packed and transmitted to the control module by the GPRS module through each gateway and router of the Internet; and S5, the control module decompresses the transmitted data packet and then returns the source data, performs data processing according to different functional requirements, and finally stores the processed data into a database.
The device obtained by the technical scheme is an elevator inspection video auxiliary system, the mobile terminal inspection module and the service terminal 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 (7)
1. An elevator inspection video auxiliary system comprises a mobile terminal inspection module and a server terminal module; the system is characterized in that 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 inspecting the elevator;
the control module analyzes the collected elevator data information and comprises the following steps: s1, detecting and analyzing data characteristic extraction; s2, establishing a database; s3, layering the new data set; s4, obtaining a new data result; the fault information of the elevator can be accurately judged conveniently, and the inspection is accurate; s1, 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 time domain, frequency domain and data features of the time domain and the frequency domain; s2, establishing a database, layering the 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 after performing classifier training on each subclass; s3, layering the new data set, firstly, calculating the center of each cluster of data of the new data set through clustering, then, calculating Euclidean distance from each layer of clustering center of the database established in S2, 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; and S4, obtaining a new data elevator inspection result, judging that the data in the S3 belongs to a smaller set to the bottom layer by using the method of S2 after the data in the S3 arrives at a certain layer, and then carrying out elevator fault diagnosis on the trained classifier to obtain a fault result.
2. The elevator inspection video auxiliary system according to claim 1, wherein the mobile end inspection module needs to perform data interaction with the service end module, the mobile end inspection module needs to obtain inspection task order information from the service end module, after the inspection personnel complete the inspection, the inspection report is transmitted back to the service end module, and the service end performs inspection report auditing and approval.
3. The elevator inspection video auxiliary system according to claim 1, wherein 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.
4. The elevator inspection video auxiliary system according to claim 1, wherein 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 a transmission layer and stores the data information into the database, so that various conditions of the elevator can be queried, fault diagnosis and fault alarm processing can be performed in time, and inspection of the elevator is completed.
5. The elevator inspection video assistance system of claim 1 wherein the sensors of the data acquisition module comprise an upper level sensor, a lower level sensor, an upper limit sensor, a lower limit sensor, a door switch sensor, an infrared human body sensor.
6. The elevator inspection video assistance system of claim 1 wherein the transmission module uses a GPRS communication module to establish a communication link with the control module, communicates via an RS232 interface, and sends AT commands to operate the GPRS communication module to continue data baud rate setting, PDP context activation, and GPRS gateway setting operations.
7. The elevator inspection video assistance system of claim 1 wherein the control module analyzes the collected elevator data information and comprises the steps of: s1, detecting and analyzing data characteristic extraction; s2, establishing a database; s3, layering the new data set; s4, 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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CN103935855A (en) * | 2014-04-24 | 2014-07-23 | 东南大学 | Handheld terminal and system assisting in elevator inspection |
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Publication number | Priority date | Publication date | Assignee | Title |
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JPS54108335A (en) * | 1978-02-15 | 1979-08-24 | Hitachi Ltd | Elevator controller |
JPH08292985A (en) * | 1995-04-21 | 1996-11-05 | Hitachi Building Syst Eng & Service Co Ltd | Maintenance work support device |
JP2004112271A (en) * | 2002-09-18 | 2004-04-08 | Mitsubishi Electric Corp | Remote monitoring system |
CN105398901A (en) * | 2015-12-24 | 2016-03-16 | 广州永日电梯有限公司 | Internet of things remote monitoring method for safe elevator operation |
CN106185519B (en) * | 2016-09-28 | 2018-08-10 | 山东大学 | A kind of building hoist compulsory maintenance maintenance monitoring system and its application with fault detection capability |
CN107601187A (en) * | 2017-08-04 | 2018-01-19 | 佛山市珂莎巴科技有限公司 | A kind of lift management system and method |
CN109384113A (en) * | 2017-08-08 | 2019-02-26 | 南京海印通信设备有限公司 | A kind of elevator faults monitoring system based on wireless communication |
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