CN111807181A - Web elevator monitoring platform - Google Patents
Web elevator monitoring platform Download PDFInfo
- Publication number
- CN111807181A CN111807181A CN202010601526.0A CN202010601526A CN111807181A CN 111807181 A CN111807181 A CN 111807181A CN 202010601526 A CN202010601526 A CN 202010601526A CN 111807181 A CN111807181 A CN 111807181A
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- elevator
- fault
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- monitoring platform
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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
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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
- B66B3/00—Applications of devices for indicating or signalling operating conditions of elevators
- B66B3/02—Position or depth indicators
-
- 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
- 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
Abstract
The invention relates to the technical field of elevator monitoring, in particular to a Web elevator monitoring platform which comprises a fault module, an attribute module, an emergency stop module, a prediction module and a user module, wherein the fault module is used for detecting whether a fault occurs in the elevator; the system also comprises terminal equipment, message middleware, a MySQL database and a SPringBoot framework which are matched with the Web elevator monitoring platform to work; the fault module records the name of the elevator with the fault, the number of the elevator, the name of a cell, the type of the fault, the fault occurrence time, the fault processing state and the information of processing personnel; the attribute module records basic information of the monitored elevator; the prediction module is used for predicting the failure probability of the elevator and the time point of sending the failure; the user module comprises a monitoring interface, a fault inquiry interface and an elevator configuration interface; the invention can provide the fault details of the elevator in a certain time period, predict the time point of the fault, and simultaneously correct the fault manually, thereby improving the accuracy of the prediction.
Description
Technical Field
The invention relates to the technical field of elevator monitoring, in particular to a Web elevator monitoring platform.
Background
Elevators are essential devices for transportation of modern high-rise buildings, and take responsibility for transportation of people and goods, so that the safety of elevator operation is very important. Along with the rapid popularization of high-rise buildings, the safety performance of elevator operation and various functions are more and more emphasized by people, because the safety performance directly relates to the life safety of passengers, the operation and the function perfection of the elevator are only ensured, and particularly in the fault diagnosis and maintenance process of the elevator, better use experience can be brought to users only by timely analyzing and eliminating obstacles.
By designing an application system of an elevator Internet of things data service system platform, an innovative big data service system platform integrating elevator operation monitoring, fault diagnosis, early warning, maintenance management and statistical analysis is constructed. In order to realize elevator information sharing and interconnection, a comprehensive and systematic one-stop solution is provided, and meanwhile, technical support and data guarantee are provided for the construction of an elevator quality safety tracing system and the realization of an on-demand maintenance working mode. The traditional elevator Internet of things platform in the prior art cannot provide fault detail data of a certain device in a certain time period; when the traditional elevator Internet of things platform displays data, manual error correction and fault prediction cannot be performed.
In order to solve the problems, the application provides a Web elevator monitoring platform.
Disclosure of Invention
Objects of the invention
In order to solve the technical problems in the background art, the invention provides a Web elevator monitoring platform which has the characteristics of being capable of providing the fault details of an elevator in a certain time period, predicting the time point of the fault, and simultaneously being capable of manually correcting the fault and improving the accuracy of the prediction.
(II) technical scheme
In order to solve the technical problem, the invention provides a Web elevator monitoring platform which comprises a fault module, an attribute module, an emergency stop module, a prediction module and a user module, wherein the fault module is used for detecting whether a fault occurs or not; the system also comprises terminal equipment, message middleware, a MySQL database and a SPringBoot framework which are matched with the Web elevator monitoring platform to work;
the fault module records the name of the elevator with the fault, the number of the elevator, the name of a cell, the type of the fault, the fault occurrence time, the fault processing state and the information of processing personnel;
the attribute module records basic information of the monitored elevator;
the emergency stop module is used for sending an emergency stop instruction to the monitored elevator;
the prediction module is used for predicting the failure probability of the elevator and the time point of sending the failure;
the user module comprises a monitoring interface, a fault inquiry interface and an elevator configuration interface;
the monitoring interface is used for displaying a real-time monitoring video in the elevator;
the fault inquiry interface is used for inquiring elevator fault records;
the elevator configuration interface is used for calling configuration information of the elevator;
the terminal equipment is used for collecting original data information;
the message middleware is in signal connection with the terminal equipment to analyze original data;
the MySQL database stores the analyzed data;
the SpringBoot framework processes the analyzed data;
and the Web elevator monitoring platform displays the processed result.
Preferably, the fault module divides five different risk levels according to the type of the fault; the risk hazard of the first-level to the fifth-level is increased step by step.
Preferably, the basic information of the elevator comprises the position of the elevator, the maximum load of the elevator, the service life of the elevator, the production date of the elevator, the time from last maintenance, the operation information of the elevator, the historical fault information, the model of replacement and maintenance spare and accessory parts and the manufacturer.
Preferably, the prediction module comprises a manual verification unit; the manual verification unit verifies the start time, end time and prediction algorithm of the elevator fault.
Preferably, the original data parsed by the message middleware is stored in the MySQL database in a Base64 encryption mode.
Preferably, the MySQL database establishes at least one mirror database.
Preferably, the MySQL database table name is named in a year, month, day + device ID + axis manner.
Preferably, the terminal device collects the original data information and sends the original data information to the message middleware in a message form.
Preferably, after the message is successfully analyzed, the message is put into a memory and written into a database MySQL.
Preferably, the Web elevator monitoring platform reads the latest real-time monitoring data from the memory and reads historical data from the database, wherein the historical data comprises historical faults, replacement and maintenance part models and manufacturers.
The technical scheme of the invention has the following beneficial technical effects:
1. the prediction module comprises a manual verification unit; the manual verification unit verifies the start time, end time and prediction algorithm of the elevator fault. The manual verification unit corrects the verification item information through comprehensive comparison of the verification information and the actual information so as to achieve the purpose of improving the accuracy rate of elevator fault prediction.
2. The fault module divides five different risk levels according to the type of the fault; the risk hazards of the first-level to the fifth-level are increased step by step, different risk levels are set, when the prediction module predicts the fault, risk prompts of different levels are issued according to the classification of the fault types in advance, and the risk prompts are directly displayed on a monitoring interface of the Web elevator monitoring platform.
3. The MySQL database builds at least one mirror database. When the database is subjected to attack data loss, the MySQL database can be recovered through the content in the mirror database.
4. The Web elevator monitoring platform reads the latest real-time monitoring data from the memory and reads historical data from a database, wherein the historical data comprises historical faults, the types of replacement and maintenance spare and accessory parts and manufacturers; carrying out data processing on the analyzed message information under the SPringboot framework, displaying a processing result in a waveform diagram mode through a Web elevator monitoring platform, and obtaining a data aerial view of corresponding equipment by clicking the waveform diagram; the database table name is quickly positioned in a naming mode of year, month, day, equipment ID and axis, and when the equipment ID and time node are transmitted from the foreground, the database table name can quickly and dynamically search a large amount of data information of the current equipment.
Drawings
FIG. 1 is a schematic structural diagram of the working principle of the present invention;
FIG. 2 is a functional structure diagram of the Web elevator monitoring platform in the invention;
fig. 3 is a schematic view of the display content structure of the Web elevator monitoring platform of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
As shown in fig. 1-3, the Web elevator monitoring platform provided by the present invention includes a failure module, an attribute module, an emergency stop module, a prediction module, and a user module; the system also comprises terminal equipment, message middleware, a MySQL database and a SPringBoot framework which are matched with the Web elevator monitoring platform to work;
the fault module records the name of the elevator with the fault, the number of the elevator, the name of a cell, the type of the fault, the fault occurrence time, the fault processing state and the information of processing personnel;
the attribute module records basic information of the monitored elevator;
the emergency stop module is used for sending an emergency stop instruction to the monitored elevator;
the prediction module is used for predicting the failure probability of the elevator and the time point of sending the failure;
the user module comprises a monitoring interface, a fault inquiry interface and an elevator configuration interface;
the monitoring interface is used for displaying a real-time monitoring video in the elevator;
the fault inquiry interface is used for inquiring elevator fault records;
the elevator configuration interface is used for calling configuration information of the elevator;
the terminal equipment is used for collecting original data information;
the message middleware is in signal connection with the terminal equipment to analyze original data;
the MySQL database stores the analyzed data;
the SpringBoot framework processes the analyzed data;
and the Web elevator monitoring platform displays the processed result.
In the embodiment, the fault module divides five different risk levels according to the type of the fault; the risk hazard of the first-level to the fifth-level is increased step by step.
It should be noted that by setting different risk levels, when the prediction module predicts a fault, risk prompts of different levels are issued according to classification of fault types in advance, and are directly displayed on a monitoring interface of a Web elevator monitoring platform.
In the embodiment, the basic information of the elevator comprises the position of the elevator, the maximum load of the elevator, the service life of the elevator, the production date of the elevator, the time from last maintenance, the operation information of the elevator, the historical fault information, the model of replacement and maintenance spare and accessory parts and the manufacturer.
It should be noted that when a fault occurs, the reason of the fault is conveniently and rapidly checked, responsibility division is performed, traceability is facilitated, and meanwhile potential safety hazards of the same type of elevator are conveniently and timely checked, so that the potential safety hazards are conveniently and timely maintained, and the potential safety hazards are eliminated.
In this embodiment, the prediction module includes a manual verification unit; the manual verification unit verifies the start time, end time and prediction algorithm of the elevator fault.
It should be noted that the manual verification unit corrects the verification item information by comprehensively comparing the verification information with the actual information, so as to achieve the purpose of improving the accuracy of elevator fault prediction.
In this embodiment, the original data parsed by the message middleware is stored in the MySQL database in a Base64 encryption manner.
It should be noted that Base64 is one of the most common encoding methods for transmitting 8Bit byte codes on a network, and Base64 is a method for representing binary data based on 64 printable characters; and data encryption transmission is facilitated.
In this embodiment, the MySQL database establishes at least one mirror database.
It should be noted that, when the database is subjected to attack data loss, the MySQL database may be recovered by mirroring the content in the database.
In this embodiment, the MySQL database table name is named by year, month, day + device ID + axis.
It should be noted that, when the current station transmits the device ID + the time node, it can complete the dynamic search and the fast location of a large amount of data information of the current device.
In this embodiment, the terminal device collects the original data information and sends the original data information to the message middleware in a message form.
In this embodiment, after the message is successfully parsed, the message is placed into the memory and written into the database MySQL. The Web elevator monitoring platform reads the latest real-time monitoring data from the memory and reads historical data including historical faults, replacement and maintenance part models and manufacturers from the database.
The working principle and the using process of the invention are as follows: storing basic information of an elevator to be monitored into a MySQL database; in the actual use process, the terminal equipment collects the historical information and the current operation information of the elevator, packages the information and sends the information to the message middleware in a message form; and the message middleware analyzes the message information, and after the message information is successfully analyzed, the message information is put into a memory and written into a database MySQL. The Web elevator monitoring platform reads the latest real-time monitoring data from the memory and reads historical data from a database, wherein the historical data comprises historical faults, the types of replacement and maintenance spare and accessory parts and manufacturers; carrying out data processing on the analyzed message information under the SPringboot framework, displaying a processing result in a waveform diagram mode through a Web elevator monitoring platform, and obtaining a data aerial view of corresponding equipment by clicking the waveform diagram; the database table name is quickly positioned in a naming mode of year, month, day, equipment ID and axis, and when the equipment ID and the time node are transmitted by the foreground, the dynamic search of a large amount of data information of the current equipment can be finished quickly. Since the data is received from the terminal equipment, the data is once in 3 seconds, and each time the data is 100 points, the data information is returned to the front end for displaying according to the combination of the x axis, the y axis, the z axis and the time point. According to the invention, a user can input the range of the elevator fault to be inquired through the fault inquiry interface to search and call the related data information. The prediction module analyzes the elevator operation data and the historical maintenance data in the MySQL database based on big data analysis, and predicts the time range of possible failure; the prediction module comprises a manual verification unit; the manual verification unit verifies the start time, end time and prediction algorithm of the elevator fault. The manual verification unit corrects the verification item information through comprehensive comparison of the verification information and the actual information so as to achieve the purpose of improving the accuracy rate of elevator fault prediction. The invention can provide the fault details of the elevator in a certain time period, predict the time point of the fault, and simultaneously correct the fault manually, thereby improving the accuracy of the prediction.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.
Claims (10)
1. A Web elevator monitoring platform is characterized by comprising a fault module, an attribute module, an emergency stop module, a prediction module and a user module; the system also comprises terminal equipment, message middleware, a MySQL database and a SPringBoot framework which are matched with the Web elevator monitoring platform to work;
the fault module records the name of the elevator with the fault, the number of the elevator, the name of a cell, the type of the fault, the fault occurrence time, the fault processing state and the information of processing personnel;
the attribute module records basic information of the monitored elevator;
the emergency stop module is used for sending an emergency stop instruction to the monitored elevator;
the prediction module is used for predicting the failure probability of the elevator and the time point of sending the failure;
the user module comprises a monitoring interface, a fault inquiry interface and an elevator configuration interface;
the monitoring interface is used for displaying a real-time monitoring video in the elevator;
the fault inquiry interface is used for inquiring elevator fault records;
the elevator configuration interface is used for calling configuration information of the elevator;
the terminal equipment is used for collecting original data information;
the message middleware is in signal connection with the terminal equipment to analyze original data;
the MySQL database stores the analyzed data;
the SpringBoot framework processes the analyzed data;
and the Web elevator monitoring platform displays the processed result.
2. The Web elevator monitoring platform according to claim 1, wherein the fault module classifies five different risk levels according to the type of the fault; the risk hazard of the first-level to the fifth-level is increased step by step.
3. The Web elevator monitoring platform according to claim 1, wherein the basic information of the elevator comprises the position of the elevator, the maximum load of the elevator, the service life of the elevator, the production date of the elevator, the time from the last maintenance, the operation information of the elevator, the historical failure information, the model of replacement and maintenance spare parts and the manufacturer.
4. The Web elevator monitoring platform according to claim 1, wherein the prediction module comprises a manual verification unit; the manual verification unit verifies the start time, end time and prediction algorithm of the elevator fault.
5. The Web elevator monitoring platform according to claim 1, wherein the raw data parsed by the message middleware is stored in MySQL database using Base64 encryption.
6. The Web elevator monitoring platform according to claim 1, wherein the MySQL database builds at least one mirror database.
7. The Web elevator monitoring platform according to claim 1, wherein the MySQL database table name is named year, month, day + device ID + axis.
8. The Web elevator monitoring platform according to claim 1, characterized in that the terminal device collects the raw data information and sends the raw data information to the message middleware in the form of a message.
9. The Web elevator monitoring platform according to claim 1, wherein the message is successfully parsed and placed into memory and written into database MySQL.
10. The Web elevator monitoring platform according to claim 1, wherein the Web elevator monitoring platform reads the latest real-time monitoring data from the memory and historical data from the database, including historical failures, replacement and repair part models, and manufacturer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010601526.0A CN111807181A (en) | 2020-06-29 | 2020-06-29 | Web elevator monitoring platform |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010601526.0A CN111807181A (en) | 2020-06-29 | 2020-06-29 | Web elevator monitoring platform |
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| CN111807181A true CN111807181A (en) | 2020-10-23 |
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| CN202010601526.0A Pending CN111807181A (en) | 2020-06-29 | 2020-06-29 | Web elevator monitoring platform |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113071966A (en) * | 2021-04-26 | 2021-07-06 | 平安国际智慧城市科技股份有限公司 | Elevator fault prediction method, device, equipment and storage medium |
| CN113911872A (en) * | 2021-10-12 | 2022-01-11 | 北京沃东天骏信息技术有限公司 | Fault processing method and system and early warning and rescue system |
| CN115072502A (en) * | 2022-07-01 | 2022-09-20 | 猫岐智能科技（上海）有限公司 | Elevator terminal server system and control method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113071966A (en) * | 2021-04-26 | 2021-07-06 | 平安国际智慧城市科技股份有限公司 | Elevator fault prediction method, device, equipment and storage medium |
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| CN115072502B (en) * | 2022-07-01 | 2023-11-07 | 猫岐智能科技（上海）有限公司 | Elevator terminal server system and control method |
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