Intelligent monitor system for automation

I. Application of Intelligent Video Surveillance in the Prevention of Personal Injury

1.Safety helmet monitor 

In the process of production, wearing safety helmet correctly is an important guarantee for personal safety, but for a long time has been a difficult point in field management for a long time. Real-time video detection and warning of safety helmet monitor can be deployed in production site.

Our company applies intelligent Video Analysis and deep learning neural network technology to realize real-time analysis, identification, tracking and alarm, real-time analysis and early warning of personnel activities and wearing safety helmet directly through video surveillance. For the real-time warning of the dangerous behavior without wearing a safety helmet, the alarm screenshots and videos are saved to the database to form a report form, and the alarm information is pushed to the relevant management personnel. According to the time period, the alarm records and alarm screenshots and videos can be queried and on demand.

Safety helmet monitoring system

(1) Real-time analysis, identification and early warning

The real-time video of video surveillance is used to identify and detect the wearing of the safety helmet of the staff in real time, and the dangerous behavior without the safety helmet can be monitored and warned in real time. Alarm video and screenshots can be displayed on the client side. Audio and loudspeaker can be deployed on the spot to give alarm tips. According to the needs of users, alarm information can also be pushed to relevant managers to assist managers in production safety management.

(2) Alarm record storage

The safety helmet identification system can store the alarm screenshots and videos without wearing the safety helmet into the server database in time, including time, place, alarm screenshots, alarm videos and so on to form report information, which is convenient for personnel safety management.

(3) Quick query of alarm records

The efficient alarm record quick query can carry on the alarm inquiry to the behavior of not wearing the safety helmet according to the time period and the monitoring area, and display the multiple records in the form of the form of the report form, each record has the detailed alarm screenshot and the video.

2. Access to hazardous areas

At present, video surveillance technology has been widely used in all aspects, but the traditional mobile detection and monitoring will video and alarm any wind in the environment, resulting in a large number of redundancy, false positives, and reduce the alarm level.

Our company uses the intelligent video monitoring algorithm of area intrusion and cross-border detection to calibrate the dangerous area, fixed-point fortification, can set up targeted monitoring strategy for important areas and important boundaries, and realize more detailed monitoring and prevention. The monitoring behavior is detected, and the personnel enter (into) the dangerous area to carry on the spot voice prompt, has made up the traditional movement detection insufficiency.

Our company's intelligent video surveillance has added the dynamic analysis function, can carry on the dynamic analysis to the designated area in the surveillance video playback, carries on the retrieval to the personnel dangerous area, avoids the need to expend the energy to watch the playback one minute and one second.

II. Intelligent video surveillance of conveyors

Our company makes full use of computer vision, big data analysis technology to carry out intelligent identification and analysis of abnormal state of belt operation, such as transfer point pile coal, belt foreign body, belt deviation, coal bunker coal position, belt speed, temperature, load, smoke, current, voltage and so on.

The identification and analysis results are pushed to the field operators by acousto-optic alarm, voice broadcast and mobile message push, reminding them to deal with the abnormal state of coal, foreign body and deviation during belt operation, and pushing the alarm message to the ground belt centralized control center manager by monitoring system screen frame.

1.Head Heap Coal Identification

Our company adopts the industrial camera and the laser stripe processing scheme, makes full use of the video tracking algorithm, and judges the current coal pile by detecting the edge shape of the laser stripe. Calibration of alarm limits as required.

Laser stripe monitor head coal

Laser stripe shape of coal heaps

2.Belt deviation identification

Our company adopts the industrial camera with the laser stripe processing scheme, the camera is installed on the upper belt perpendicular to the belt. The laser stripe transmitter is also perpendicular to the belt, and the laser stripe covers the belt transverse and both sides of the roller at the same time. The position and shape of laser stripe deformation at belt and roller are analyzed.

Laser stripe detection of belt deviation

3.Belt tear identification

Our company adopts the industrial camera with the laser stripe processing scheme, the camera is installed above the lower belt, the camera line of sight direction is the same as the belt running direction. By detecting whether the stripes have different shapes, we can judge whether the belt is torn.

Laser stripe when belt is torn

4.Belt foreign body identification

A camera is installed in the middle of the belt and at the transfer point, and computer vision depth learning is used to identify the real-time video data taken by the camera. According to the actual operation of the belt board, sleepers, scrapers, anchors and other belt foreign body types and coal gangue size recognition, for the identification of foreign bodies can not pass through the transfer point or belt tear hidden danger, trigger the belt along the voice alarm and monitoring center system monitoring screen alarm.

5.Smoke Flame Identification

Our company Lido spectrum acquisition, background learning, feature extraction, intelligent identification four links to achieve the elimination of interference, with response speed, anti-interference ability, to achieve pre-fire detection and early warning.

Features of the system:

(1) Multi-spectral acquisition, super ability to prevent false positives:

(2) Analysis of flame frequency, shape, color and so on using intelligent algorithm;

(3) Fire duty personnel may confirm the source of fire and the cause of the fire.

6.Instrument alarm identification

Our company based on video analysis technology through intelligent algorithm to sample image filtering denoising, graphics enhancement, binary processing, edge detection, image segmentation, pointer recognition, numerical recognition, etc., to weaken the environmental factors and improve the accuracy of recognition. Automatic acquisition and on-line monitoring of instrument data are realized, and the burden of operators is effectively reduced.

7.Equipment temperature monitoring

Our company adopts high-definition, intelligent, infrared thermal imaging application technology, using infrared thermal imaging to carry on 24 hours on-line temperature measurement to important equipment, once found that the temperature exceeds the limit can alarm in time.

Because of the movement of its own molecules, any object continuously radiates infrared heat energy, thus forming a certain temperature field on the surface of the object, commonly known as "thermal image ". By receiving the infrared ray (infrared radiation) from the object, the temperature distribution and the slight change of the thermal state on the surface of the object are judged, and the internal and external heating situation of the equipment is accurately reflected. According to the characteristics of accuracy, real-time, fast and high reliability, it is very effective to find the hidden trouble of the equipment.

Huafei Company could provide complete complete Intelligent Video Surveillance, include Audible Alarm Device, Automatic Control Sensor, Protective Products, Belt Conveyor Sensors, Automatic Control Sensor, Intelligent Belt Control and other Coal Mine Control.