Large generator and motor intelligent monitoring system

Abstract

The invention discloses a large-scale generator and motor intelligent monitoring system, and the system comprises a monitoring data collection module which is used for collecting the video data of a large-scale generator and motor monitoring region in real time; the local data processing module is used for processing the video data acquired by the monitoring data acquisition module; the server module is used for carrying out secondary processing on the processed video data; and the display module is used for displaying the intelligently identified information in real time. According to the invention, the operation state of a large-scale generator and motor equipment can be comprehensively judged, when a rotor, a stator, a carbon brush and a slip ring (collecting ring) have faults of sparking or over-temperature operation, an intelligent monitoring system gives an alarm, and an engineer disposes the faults in time, so that accident expansion is avoided, and shutdown and loss are reduced.

Description

Technical Field

[0001] The invention belongs to the technical field of motor detection, and in particular relates to a large-scale generator and motor intelligent monitoring system. Background Art

[0002] In metallurgy, petrochemical, cement, and electric power and other enterprises and industries, the carbon brush and slip ring area and rotor and stator area of ​​large transmission motors are monitored by manual regular inspection (such as checking twice per shift, etc.), and the carbon brush and collector ring area of ​​large generators are monitored by manual regular inspection (such as checking twice per shift, etc.). The point inspection personnel judge the basic situation of the motor by means of touch, visual inspection, listening stick, meter reading, etc., and then conduct investigation based on experience after finding the problem. This method not only cannot achieve real-time monitoring, but also has low accuracy. In addition, there are certain safety hazards when the inspection personnel approach the motor equipment at close range. At the same time, due to the rotation characteristics of the motor stator and slip ring and other equipment, it is impossible to measure the temperature by direct contact methods such as thermocouples. Therefore, the temperature monitoring of such equipment cannot be accurately measured, and the internal operation and various hidden dangers of large generators and motors cannot be monitored in real time and comprehensively. The hidden dangers and hazards are as follows;

[0003] 1. When the rotor and stator of a large transmission motor overheat or spark, the hidden dangers will expand rapidly, which may cause the stator and rotor to burn out, resulting in the burning of the motor;

[0004] 2. When the carbon brushes and slip rings of large transmission motors are overheated, they may burn out, and even cause fire and burn out the motor;

[0005] 3. When the carbon brushes and collector rings of large generators over-temperature, it may cause sparks and ring fires, burn the carbon brushes and collector rings, and even cause fires and burn the motors.

[0006] There are no visual and intelligent program recognition and monitoring methods for faults such as overheating and sparking in important single equipment inside these large generators and motors, and real-time monitoring has not been achieved. Small faults quickly lead to major accidents, resulting in shutdown of the entire line or production reduction. Summary of the invention

[0007] In view of the above problems, the present invention is proposed to provide a large-scale generator and motor intelligent monitoring system that overcomes the above problems or at least partially solves the above problems.

[0008] To achieve the above object, the present invention adopts the following technical solutions:

[0009] A large-scale generator and motor intelligent monitoring system, the system comprising:

[0010] Monitoring data acquisition module, used to collect video data of large generator and motor monitoring areas in real time;

[0011] The machine-side data processing module is used to process the video data collected by the monitoring data collection module;

[0012] A server module, used for secondary processing of the processed video data;

[0013] The display module is used to display the intelligent recognition information in real time.

[0014] Optionally, the monitoring data acquisition module includes:

[0015] Industrial camera monitoring data acquisition unit, used to collect real-time graphic information of rotors, stators, carbon brushes and slip rings of large motors, and real-time graphic information of carbon brushes and collector rings of large generators;

[0016] The thermal imaging monitoring data acquisition unit is used to collect the temperature field graphic information of the rotor, stator, carbon brush and slip ring of large motors in real time, and the temperature field graphic information of the carbon brush and collector ring area of ​​large generators in real time.

[0017] Optionally, the machine-side data processing module performs intelligent recognition on the collected video data through a neural network program, identifies spark information, maximum temperature, minimum temperature and average temperature, and transmits the video data and recognition operation information to the server module.

[0018] Optionally, the secondary processing includes storage, drawing a time curve graph, over-limit alarm, storing data into a database and alarm video playback.

[0019] Optionally, the intelligently identified information includes the number of sparks and the spark area, as well as the maximum temperature of the monitoring area, the minimum temperature of the monitoring area and the average temperature of the monitoring area.

[0020] Optionally, the display module will alarm and push alarm information when abnormal information occurs in large generators and motors.

[0021] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0022] 1. The present invention introduces monitoring equipment such as industrial cameras and infrared thermal imagers for monitoring, and uses neural networks to identify faults such as sparks in the equipment during operation, and can promptly alarm when such faults occur.

[0023] 2. The present invention uses an infrared thermal imager to monitor the temperature of large generators and internal moving equipment of motors, and can obtain the maximum, minimum and average temperatures in the temperature field in real time. When the set temperature value is exceeded, an alarm is issued in time.

[0024] 3. The present invention can comprehensively judge the operating status of large generators and motor equipment. When ignition or over-temperature operation failures occur, the intelligent monitoring system will issue an alarm, and engineers will deal with it in time to avoid the expansion of the accident and reduce downtime and losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 A schematic diagram of a large-scale generator and motor intelligent monitoring system provided in an embodiment of the present application;

[0026] Figure 2 This is the system structure diagram of intelligent monitoring of large transmission motors;

[0027] Figure 3 It is the system structure diagram of intelligent monitoring of large generators;

[0028] Figure 4 This is a screenshot of the spark monitoring after the system went online;

[0029] Figure 5 This is a screenshot of the temperature field monitoring after the system went online;

[0030] Figure 6 This is a screenshot of the maximum and average values ​​of the temperature field measured after the system was put into operation. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0032] See also Figure 1-6 This embodiment provides a large-scale generator and motor intelligent monitoring system, the system comprising:

[0033] The monitoring data acquisition module is used to collect video data of large generator and motor monitoring areas in real time.

[0034] The monitoring data acquisition module includes:

[0035] Industrial camera monitoring data acquisition unit, used to collect real-time graphic information of monitoring areas such as rotors, stators, carbon brushes and slip rings of large motors, and real-time graphic information of monitoring areas such as carbon brushes and collector rings of large generators;

[0036] The thermal imaging monitoring data acquisition unit is used to collect temperature field graphic information of the monitoring areas such as the rotor, stator, carbon brush and slip ring of large motors in real time, and to collect temperature field graphic information of the monitoring areas such as the carbon brush and collector ring area of ​​large generators in real time.

[0037] The machine-side data processing module is used to process the video data collected by the monitoring data collection module.

[0038] The machine-side data processing module uses a neural network program to intelligently identify the collected video data, such as using the software programs "Large Motor Spark Rapid Intelligent Identification System V1.0" and "Large Motor Rotation and Sliding Area Temperature Field Intelligent Monitoring System V1.0" from Beijing Inventec Power Electronics Engineering Technology Co., Ltd. to perform identification operations, identify spark information, maximum temperature, minimum temperature, average temperature and other information, and transmit the video data and identification operation information to the server module.

[0039] The server module is used for performing secondary processing on the processed video data.

[0040] The secondary processing includes storage, drawing time curve graphs, over-limit alarms, storing data into a database, and alarm video playback.

[0041] The display module is used to display the intelligent recognition information in real time.

[0042] The intelligently identified information includes spark indicators such as the number of sparks and the spark area, as well as the maximum temperature of the monitoring area, the minimum temperature of the monitoring area, and the average temperature of the monitoring area.

[0043] The display module will send out an alarm and push out alarm information when abnormal information appears in large generators and motors, notifying maintenance personnel to conduct in-depth maintenance and deal with potential hidden dangers. It can monitor multiple large generators and motors in the area.

[0044] This embodiment introduces monitoring equipment such as industrial cameras and infrared thermal imagers for monitoring, and uses neural networks to identify faults such as sparks in the equipment during operation, and can promptly alarm when such faults occur.

[0045] This embodiment uses an infrared thermal imager to monitor the temperature of large generators and internal moving equipment of motors, and can obtain the maximum, minimum and average temperatures in the temperature field in real time. When the set temperature value is exceeded, an alarm is issued in time.

[0046] This embodiment can comprehensively judge the operating status of large generators and motor equipment. When sparking or over-temperature operation failures occur, the intelligent monitoring system will issue an alarm, and engineers will deal with it in time to avoid the expansion of the accident and reduce downtime and losses.

[0047] The above contents are further detailed descriptions of the present invention in combination with specific preferred embodiments, and it cannot be determined that the specific implementation of the present invention is limited to these descriptions. For ordinary technicians in the technical field to which the present invention belongs, several simple deductions or substitutions can be made without departing from the concept of the present invention, which should be regarded as falling within the protection scope of the present invention.

Claims

1. A large-scale generator and motor intelligent monitoring system, characterized in that: The system comprises: Monitoring data acquisition module, used to collect video data of large generator and motor monitoring areas in real time; The machine-side data processing module is used to process the video data collected by the monitoring data collection module; A server module, used for secondary processing of the processed video data; The display module is used to display the intelligent recognition information in real time.

2. A large-scale generator and motor intelligent monitoring system as claimed in claim 1, characterized in that: The monitoring data acquisition module includes: Industrial camera monitoring data acquisition unit, used to collect real-time graphic information of rotors, stators, carbon brushes and slip rings of large motors, and real-time graphic information of carbon brushes and collector rings of large generators; The thermal imaging monitoring data acquisition unit is used to collect the temperature field graphic information of the rotor, stator, carbon brush and slip ring of large motors in real time, and the temperature field graphic information of the carbon brush and collector ring area of ​​large generators in real time.

3. A large-scale generator and motor intelligent monitoring system as claimed in claim 1, characterized in that: The machine-side data processing module uses a neural network program to intelligently identify the collected video data, identify the spark information, maximum temperature, minimum temperature and average temperature, and transmit the video data and identification operation information to the server module.

4. A large-scale generator and motor intelligent monitoring system as claimed in claim 1, characterized in that: The secondary processing includes storage, drawing time curve graphs, over-limit alarms, storing data into a database, and alarm video playback.

5. A large-scale generator and motor intelligent monitoring system as claimed in claim 1, characterized in that: The intelligently identified information includes the number of sparks and the spark area, as well as the maximum temperature of the monitoring area, the minimum temperature of the monitoring area and the average temperature of the monitoring area.

6. A large-scale generator and motor intelligent monitoring system as claimed in claim 1, characterized in that: The display module will sound an alarm and push the alarm information when abnormal information occurs in large generators and motors.

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