CN110728443A - Motor full life cycle management and control system - Google Patents
Motor full life cycle management and control system Download PDFInfo
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Abstract
A motor full-life-cycle management and control system comprises a server, a liquid crystal display and an equipment full-life-cycle management and control system, wherein the equipment full-life-cycle management and control system comprises a service application platform, an engineer station, an intelligent operation and maintenance management cloud platform and a motor online monitoring APP; the service application platform is used for displaying the motor state curve in real time, has the functions of increasing, deleting, modifying and checking equipment data, expert diagnosis, motor point inspection and maintenance management, and opens corresponding functions required by different users; the intelligent operation and maintenance management cloud platform is used for fault prediction analysis, health state tracking management, mechanism big data double-frequency calculation, on-line machine learning training model and unit coupling operation data analysis; the motor deterioration trend can be found to have urgent need in advance, and motor faults are scientifically predicted and predicted after parameter data of current, temperature, vibration and the like of the motor are acquired through an intelligent means of motor intelligent monitoring, so that the cost is reduced, manpower is reduced, equipment guarantee is provided, and the production efficiency is improved.
Description
Technical Field
The invention relates to the technical field of motor control, in particular to a full life cycle management and control system of a motor.
Background
Motor equipment is closely related to production, but only conventional voltage and current monitoring is carried out on a motor in a saddle steel mill at present, monitoring means are few, the requirements of replacement of the motor equipment are met except for five-sense point inspection and preparation of sufficient spare parts, daily management is single, and the full life cycle management of the motor is lacked. At present, the motor is still subjected to preventive maintenance by adopting a traditional mode of regular factory inspection, the real-time analysis of the motor state is lacked, the motor cannot be adjusted in time through actual conditions and scientific theoretical bases, and the motor is possibly informed after problems occur, so that the on-site production is seriously restricted due to the inexistence of motor state monitoring.
The intelligent means of intelligent monitoring of the motor is required to scientifically predict and prejudge motor faults after parameter data of current, temperature, vibration and the like of the motor are acquired, so that the cost is reduced, the manpower is reduced, equipment guarantee is provided, and the production efficiency is improved.
Disclosure of Invention
In order to solve the technical problems in the background art, the invention provides a motor full-life-cycle management and control system which can find that the degradation trend of a motor is in urgent need in advance, scientifically predict and predict motor faults after acquiring parameter data of current, temperature, vibration and the like of the motor by an intelligent means of motor intelligent monitoring, reduce cost and manpower, provide equipment guarantee and improve production efficiency.
In order to achieve the purpose, the invention adopts the following technical scheme:
a motor full-life-cycle management and control system comprises a data acquisition device, a server, a liquid crystal display and an equipment full-life-cycle management and control system, wherein the equipment full-life-cycle management and control system comprises a service application platform, an engineer station, an intelligent operation and maintenance management cloud platform and a motor online monitoring APP;
the server is used for storing the acquired data, analyzing the data, bearing a system platform and establishing a mechanism model and a data model;
the liquid crystal display displays a system interface, and a worker can directly check the system interface;
the service application platform is used for displaying the motor state curve in real time, has the functions of increasing, deleting, modifying and checking equipment data, expert diagnosis, motor point inspection and maintenance management, and can open corresponding functions required by different users;
the engineer station is used for displaying a motor state curve in real time and also has the functions of threshold value alarming, and comparing trend graphs and frequency spectrums of a plurality of motors;
the intelligent operation and maintenance management cloud platform is used for fault prediction analysis, health state tracking management, mechanism big data double-frequency calculation, on-line machine learning training model and unit coupling operation data analysis;
the motor on-line monitoring APP is used for conveniently inquiring the state of equipment, acquiring alarm fault information and carrying out multi-person on-line consultation.
Furthermore, the storage space of the server comprises four parts, wherein the first part is a mysql relational database and stores various parameters and management information of the equipment; the second part is a database MongoDB based on distributed file storage; the third part is a web server and provides system information browsing operation service for users; the fourth part is responsible for modeling and training the acquired data.
Furthermore, the system of the invention needs to acquire the equipment information for the first use, and the engineer station displays the acquisition result and the alarm in a window in real time according to the threshold parameter of the real-time information alarm; meanwhile, the server carries out machine + big data double-frequency diagnosis, data are accumulated for a period of time to establish a fault mechanism model and a statistical model, and the current state is compared with the model to realize the grading alarm before the motor fault.
Furthermore, the intelligent operation and maintenance management cloud platform comprises an intelligent monitoring module, a monitoring list module, a spectrum analysis module, a data center and a system setting module, wherein the intelligent monitoring module displays the state information of the monitoring equipment at the current time; the monitoring list module can inquire and screen the monitoring equipment and check the real-time condition of the selected monitoring equipment; the spectrum analysis module can check spectrum analysis according to the monitoring equipment list, trend analysis, time three-dimensional and rotating speed three-dimensional of data information of the equipment in different time periods, one-key derivation vibration data is supported, and time domain, frequency domain, phase, wavelet and other map information of time points can be checked. The data center comprises motor management, collector management, factory area management, a collector sensor, ledger equipment coding, a point inspection coding library, a routing inspection coding library and maintenance coding library data information; the system setting module can perform menu management, user management, organization management and role management.
Further, the service application platform comprises the following modules:
my application module: the functions include: user personal service information and communication;
the management center: the functions include: managing and authority dividing of a user department and setting timing trigger of tasks;
a main data module: the functions include: equipment main data, acquisition point information and maintenance team and group information;
a maintenance management module: the functions include: various maintenance work order information, fault code data and management;
a state monitoring module: the functions include: monitoring current, temperature and vibration data;
an expert diagnosis module: the functions include: equipment diagnosis and expert opinion query;
a vendor service module: the functions include: overall equipment operating state;
the motor point inspection module: the functions include: and (5) configuring and recording the point inspection data. There are also service queries and comprehensive statistics.
Compared with the prior art, the invention has the beneficial effects that:
1. after the invention is applied to a 1780 line roller way motor in a hot rolling mill, the system carries out real-time display, analysis and prejudgment, pre-alarming, information collection, maintenance management and motor point inspection record of motor equipment and other state parameters, and solves the problems that the traditional detection means can only carry out maintenance after failure, offline point inspection, high labor cost and the like. The system is easy to use, reduces the maintenance cost, perfects the equipment information management and improves the production efficiency.
2. The system can help the motor to prolong the service life of equipment by more than 10 percent; the down time is reduced by 10-20%; the effective working time is increased by 10-20%; the idle asset utilization rate is improved by 20%.
Drawings
FIG. 1 is a block diagram of the present invention;
FIG. 2 is a diagram of a data collector of the present invention;
FIG. 3 is a diagram of a business application platform embodiment of the present invention;
FIG. 4 is a diagram of an engineer station embodiment of the present invention;
FIG. 5 is a diagram of an embodiment of an intelligent operation and maintenance management cloud platform of the present invention;
fig. 6 is a diagram of an online motor monitoring APP embodiment of the present invention.
Detailed Description
The following detailed description of the present invention will be made with reference to the accompanying drawings.
As shown in fig. 1, a motor full-life cycle management and control system includes a data collector, a server, a liquid crystal display, and an equipment full-life cycle management and control system, where the equipment full-life cycle management and control system includes a service application platform, an engineer station, an intelligent operation and maintenance management cloud platform, and a motor online monitoring APP; the server of the system is deployed in a monitoring room, collected data are transmitted to the server through a local area network or a 5G network, a service application platform, an engineer station and an intelligent operation and maintenance platform can be displayed and operated through a display screen, and an online motor monitoring APP can be displayed through a mobile terminal of a mobile phone.
As shown in fig. 2, the data collector includes a single chip, and a temperature collecting module, an ADC collecting module, a 485 bus driving module and a storage module connected to the single chip; the ADC acquisition module acquires three-phase current and voltage of a single motor; the temperature acquisition module acquires the temperature of a single motor; the ADC acquisition module is also used for acquiring vibration signals and speed signals on two sides of the shaft of a single machine; after signals are collected for a single motor, the signals are filtered and screened, and are uploaded according to a certain frequency.
The server is used for storing the acquired data, analyzing the data, bearing a system platform and establishing a mechanism model and a data model;
the liquid crystal display displays a system interface, and a worker can directly check the system interface;
as shown in fig. 3, the service application platform is used for displaying a motor state curve in real time, has functions of equipment data addition, deletion, modification, expert diagnosis, motor point inspection and maintenance management, and can open corresponding functions required by different users;
as shown in fig. 4, the engineer station is configured to display a motor status curve in real time, and further has a threshold alarm function, a function of comparing trend graphs of multiple motors, and a spectrogram function;
as shown in fig. 5, the intelligent operation and maintenance management cloud platform is used for fault prediction analysis, health state tracking management, mechanism big data double-frequency calculation, online machine learning training model, and unit coupling operation data analysis;
as shown in fig. 6, the motor online monitoring APP is used for conveniently inquiring the state of equipment, acquiring alarm fault information and performing online consultation of multiple persons.
The storage space of the server comprises four parts, wherein the first part is a mysql relational database and stores various parameters and management information of the equipment; the second part is a database MongoDB based on distributed file storage; the third part is a web server and provides system information browsing operation service for users; the fourth part is responsible for modeling and training the acquired data.
The system needs to acquire equipment information for the first use, and an engineer station displays an acquisition result and an alarm in a window in real time according to a threshold parameter of real-time information alarm; meanwhile, the server carries out machine + big data double-frequency diagnosis, data are accumulated for a period of time to establish a fault mechanism model and a statistical model, and the current state is compared with the model to realize the grading alarm before the motor fault.
The intelligent operation and maintenance management cloud platform comprises an intelligent monitoring module, a monitoring list module, a spectrum analysis module, a data center and a system setting module, wherein the intelligent monitoring module displays the state information of the monitoring equipment at the current time; the monitoring list module can inquire and screen the monitoring equipment and check the real-time condition of the selected monitoring equipment; the spectrum analysis module can check spectrum analysis according to the monitoring equipment list, trend analysis, time three-dimensional and rotating speed three-dimensional of data information of the equipment in different time periods, one-key derivation vibration data is supported, and time domain, frequency domain, phase, wavelet and other map information of time points can be checked. The data center comprises motor management, collector management, factory area management, a collector sensor, ledger equipment coding, a point inspection coding library, a routing inspection coding library and maintenance coding library data information; the system setting module can perform menu management, user management, organization management and role management.
As shown in fig. 3, the service application platform includes the following modules:
my application module: the functions include: user personal service information and communication;
the management center: the functions include: managing and authority dividing of a user department and setting timing trigger of tasks;
a main data module: the functions include: equipment main data, acquisition point information and maintenance team and group information;
a maintenance management module: the functions include: various maintenance work order information, fault code data and management;
a state monitoring module: the functions include: monitoring current, temperature and vibration data;
an expert diagnosis module: the functions include: equipment diagnosis and expert opinion query;
a vendor service module: the functions include: overall equipment operating state;
the motor point inspection module: the functions include: and (5) configuring and recording the point inspection data. There are also service queries and comprehensive statistics.
The engineer station comprises motor real-time inquiry, alarm inquiry, trend comparison of multiple motors and frequency spectrum analysis.
As shown in fig. 6, the functions of the motor online monitoring APP mainly include current, temperature and vibration state query, equipment state query, alarm prompt, fault prompt, summary statistics, expert opinion, data query, online consultation, a motor model and my information.
The motor online monitoring APP can inquire historical data to display a trend graph. The engineer station actively sends the alarm condition to the client in a push mode, sends message push at the first time, and automatically receives a new alarm message record in an alarm prompt function. For a fault that has occurred, a 3D model of the motor is associated that shows the fault area. And counting the number and the proportion of the monitored motors in normal, alarm and fault states respectively. And establishing an online consultation server environment. For the difficult and complicated problems of the equipment, experts, factory engineers and the like can be invited to carry out auxiliary diagnosis, and the text form expert suggestions can be submitted aiming at the faults.
The motor online monitoring APP is a mobile phone end APP based on an android system, a frame 7 and a Cordova framework, proper simplification is made according to the function of a PC end system, and a new function is added. The alarm message is sent by an engineer station, and the message push is actively displayed at the mobile phone client side in the first time in a push mode. For the fault, the fault message can automatically associate the motor 3D model marking the fault area, and the size and the direction can be adjusted. The online consultation realizes multi-person video communication through installation and deployment of servers such as nginx, Node, Coturn, Kurento and the like.
The above embodiments are implemented on the premise of the technical solution of the present invention, and detailed embodiments and specific operation procedures are given, but the scope of the present invention is not limited to the above embodiments. The methods used in the above examples are conventional methods unless otherwise specified.
Claims (7)
1. A motor full-life-cycle management and control system is characterized by comprising a data acquisition device, a server, a liquid crystal display and an equipment full-life-cycle management and control system, wherein the equipment full-life-cycle management and control system comprises a service application platform, an engineer station, an intelligent operation and maintenance management cloud platform and a motor online monitoring APP;
the server is used for storing the acquired data, analyzing the data, bearing a system platform and establishing a mechanism model and a data model;
the liquid crystal display displays a system interface, and a worker can directly check the system interface;
the service application platform is used for displaying the motor state curve in real time, has the functions of increasing, deleting, modifying and checking equipment data, expert diagnosis, motor point inspection and maintenance management, and opens corresponding functions required by different users;
the engineer station is used for displaying a motor state curve in real time and also has the functions of threshold value alarming, and comparing trend graphs and frequency spectrums of a plurality of motors;
the intelligent operation and maintenance management cloud platform is used for fault prediction analysis, health state tracking management, mechanism big data double-frequency calculation, on-line machine learning training model and unit coupling operation data analysis;
the motor on-line monitoring APP is used for conveniently inquiring the state of equipment, acquiring alarm fault information and carrying out multi-person on-line consultation.
2. The motor full-life-cycle management and control system according to claim 1, wherein the storage space of the server comprises four parts, the first part is a mysql relational database, and various parameters and management information of the storage device are stored; the second part is a database MongoDB based on distributed file storage; the third part is a web server and provides system information browsing operation service for users; the fourth part is responsible for modeling and training the acquired data.
3. The motor full-life-cycle management and control system of claim 1, characterized in that the system is used for the first time and equipment information is required to be acquired, and according to a threshold parameter of real-time information alarm, an engineer station displays an acquisition result and the alarm in a window in real time; meanwhile, the server carries out machine + big data double-frequency diagnosis, data are accumulated for a period of time to establish a fault mechanism model and a statistical model, and the current state is compared with the model to realize the grading alarm before the motor fault.
4. The motor full-life-cycle management and control system according to claim 1, wherein the intelligent operation and maintenance management cloud platform comprises an intelligent monitoring module, a monitoring list module, a spectrum analysis module, a data center and a system setting module, wherein the intelligent monitoring module displays current time monitoring equipment state information; the monitoring list module can inquire and screen the monitoring equipment and check the real-time condition of the selected monitoring equipment; the spectrum analysis module can check spectrum analysis according to the monitoring equipment list, trend analysis, time three-dimensional and rotating speed three-dimensional of data information of the equipment in different time periods, one-key derivation vibration data is supported, and time domain, frequency domain, phase, wavelet and other map information of time points can be checked. The data center comprises motor management, collector management, factory area management, a collector sensor, ledger equipment coding, a point inspection coding library, a routing inspection coding library and maintenance coding library data information; the system setting module can perform menu management, user management, organization management and role management.
5. The system according to claim 1, wherein the service application platform comprises the following modules:
my application module: the functions include: user personal service information and communication;
the management center: the functions include: managing and authority dividing of a user department and setting timing trigger of tasks;
a main data module: the functions include: equipment main data, acquisition point information and maintenance team and group information;
a maintenance management module: the functions include: various maintenance work order information, fault code data and management;
a state monitoring module: the functions include: monitoring current, temperature and vibration data;
an expert diagnosis module: the functions include: equipment diagnosis and expert opinion query;
a vendor service module: the functions include: overall equipment operating state;
the motor point inspection module: the functions include: and (5) configuring and recording the point inspection data. There are also service queries and comprehensive statistics.
6. The system according to claim 1, wherein the motor full lifecycle management and control system comprises a motor online monitoring APP, functions including current, temperature and vibration status query, equipment status query, alarm prompt, fault prompt, summary statistics, expert advice, data query, online consultation, motor model and my information.
7. The system of claim 1, wherein the motor full-life-cycle management and control system is characterized in that a historical data display trend graph can be inquired by a motor online monitoring APP, an engineer station actively sends an alarm condition to a client in a push mode, sends out message push at the first time, automatically receives a new alarm message record in an alarm prompt function, associates and displays a motor 3D model of a fault area for a fault, counts the number and the proportion of normal, alarm and fault states of a monitored motor respectively, builds an online consultation server environment, invites experts, factory engineers and the like to perform auxiliary diagnosis on difficult problems of equipment, and submits a text-form expert suggestion for the fault.
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| CN110806730A (en) * | 2019-10-22 | 2020-02-18 | 重庆川仪自动化股份有限公司 | Big data operation and maintenance platform, server and storage medium |
| CN112070293A (en) * | 2020-08-31 | 2020-12-11 | 河南科技大学 | Method for managing whole life cycle of parts of combine harvester |
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