Working condition detecting method, device and system

A detection method and detection device technology, applied in the field of automation, can solve the problems of low reliability, low sensor sensitivity, short life, etc., and achieve the effect of improving reliability and sensitivity and avoiding complexity.

Inactive Publication Date: 2010-06-16
任安祥 +2
0 Cites 28 Cited by

AI-Extracted Technical Summary

Problems solved by technology

[0004] Although there are many types of detection and protection devices above, their basic working principles are very similar, that is, the signals of the surrounding environment are exchanged through various sensors, signal processors, and then provi...
View more

Method used

Above-mentioned working condition detection device, gathers the image information of belt conveyor by acquisition unit, carries out analysis and processing to above-mentioned image information by processing unit, and judges the working condition of belt conveyor by detection unit, has avoided conveying Multiple sensors are arranged at multiple positions of the belt, which reduces the complexity of detection and improves the reliability and sensitivity of detection.
Above-mentioned working condition detection method, by collecting the image information of belt conveyor, and above-mentioned image information is analyzed and proces...
View more

Abstract

The embodiment of the invention relates to a working condition detecting method, a device and a system, wherein the working condition detecting method comprises the following steps: acquiring the image information of a belt conveyer, analyzing and processing the image information, and judging the working condition of the belt conveyer. The working condition detecting device comprises an acquiring unit, a processing unit and a detecting unit, wherein the acquiring unit is used for acquiring the image information of the belt conveyer; the processing unit is used for analyzing and processing the image information; and the detecting unit is used for judging the working condition of the belt conveyer according to the information processed by the processing unit. By acquiring the image information of the belt conveyer and analyzing and processing the image information to judge the working condition of the belt conveyer, the working condition detecting method, device and system avoid the complexity of providing a plurality of sensors and improve the reliability and the sensitivity of detection.

Application Domain

ConveyorsMeasurement devices +1

Technology Topic

Computer visionIndustrial engineering +2

Image

  • Working condition detecting method, device and system
  • Working condition detecting method, device and system
  • Working condition detecting method, device and system

Examples

  • Experimental program(1)

Example Embodiment

[0025] The technical solutions of the embodiments of the present invention will be further described below in conjunction with the drawings and specific embodiments.
[0026] Such as figure 1 Shown is a flowchart of an embodiment of a working condition detection method of the present invention, and the method includes:
[0027] Step 101: Collect image information of the belt conveyor;
[0028] Step 102: Analyze and process the image information to determine the operating condition of the belt conveyor.
[0029] In the above step 101, collecting the image information of the belt conveyor can be achieved by setting multiple cameras above the belt conveyor; in the above step 102, the working conditions of the belt conveyor include many parameters, such as the belt conveyor The running speed, the degree of deviation, the degree of longitudinal tearing of the conveyor belt, the distinction between smoke and dust, the detection of piles, the detection of foreign objects and the detection of overloading, etc., the following is to clarify the implementation process of the present invention with respect to these parameter information. among them, Figure 2-Figure 13 The B in all means conveyor belt:
[0030] 1. Judge the running speed of belt conveyor:
[0031] The feature points in two adjacent images are collected periodically, and the displacement of the above feature points is calculated; for example, in this embodiment, by collecting figure 2 Medium conveyor belt B at t n-1 Feature point A and image 3 Medium conveyor belt B at t n The displacement L between the characteristic points A at the moment, the operating speed v of the belt conveyor is calculated according to the following formula:
[0032] v = L Δt X ∂
[0033] Among them, Δt=t n -t n-1; L is the displacement of the characteristic point A in the two images; Δt represents the running time of the belt conveyor, and α is the geometric correction coefficient.
[0034] In addition, such as figure 2 , image 3 As shown, there can be multiple feature points on the conveyor belt, and the specific number can be set according to needs, but in general, the feature points can be divided into a combination of local geometric points inherent in the conveyor belt or material and manual pre-made on the edge of the conveyor belt Mark two kinds.
[0035] 2. Determining whether the belt conveyor is off-track: By comparing the real-time image of the belt conveyor with the standard image saved locally, the amount of off-tracking of the belt conveyor is calculated. For example, you can record the normal operation of the conveyor as Figure 4 The distance between the left edge of the conveyor belt and the left edge of the image shown in l 0 , Real-time measurement acquisition Figure 5 The distance between the left edge of the middle conveyor belt and the left edge of the image l 1 , To calculate the offset of the conveyor belt Δl:
[0036] Δl=l 0 -l 1
[0037] Among them, when Δl>0, it is left deviation; otherwise, it is right deviation.
[0038] 3. Determine whether the belt conveyor has longitudinal tearing: During the operation of the belt conveyor, the conveyor belt is longitudinally torn due to large foreign objects such as sharp gangue, coal and long iron falling on the conveyor belt and jamming. crack. The belt is widened due to the foreign matter stuck in the crack. By measuring whether the width of the conveyor belt in the image becomes wider, it can be determined whether the conveyor belt is torn longitudinally. Image 6 X in 0 Indicates the normal width of the conveyor belt without longitudinal tearing, Figure 7 X in 1 Indicates the width of the conveyor belt after longitudinal tearing, when x 0 1 It can be determined that the conveyor belt has longitudinal tearing.
[0039] 4. Smoke detection: due to mechanical reasons, the conveyor belt and the supporting roller friction and heat, and smoke is generated, and then a fire occurs. The fire can be prevented by monitoring the smoke. The method of judging smoke through the image is similar to judging the presence of dust in the image through the image; but because the color of the smoke is blue, and the color of the dust is basically the same as the color of the material, the smoke can be distinguished by analyzing the different colors in the image And dust.
[0040] 5. Stacking detection: The stacking phenomenon mainly occurs at the conveyor head or other unloading points; by analyzing the collected images of the unloading point, the contour size of the pile is monitored. When the contour of the pile exceeds a predetermined value, It is judged that a pile-up phenomenon has occurred. The predetermined value of the above-mentioned stockpile can be set as required, for example, Figure 8 The contour size of the middle pile C is set to a predetermined value, when Picture 9 When the contour size of the middle stock pile C is greater than the above-mentioned predetermined value, it can be confirmed Picture 9 Stacking phenomenon occurred in the
[0041] 6. Foreign body detection: Foreign body detection is mainly to detect whether there are items on the conveyor belt that affect the safe operation of the conveyor, such as sticks, long irons, people, etc. Because the conveyor mainly carries bulk materials, its shape is obviously different from foreign objects, so through real-time analysis of the collected images, foreign objects can be found, for example, by Picture 10 with Picture 11 The material on the conveyor belt in the image is compared with the shape of the stick D, and it is judged that D is a foreign body.
[0042] 7. Overload detection: For bulk materials, whether the conveyor is overloaded can be judged according to the width of the material flow. Measured by image processing Picture 12 The width of the stream E in is y1, Figure 13 The width of the material flow E in the middle is y2. When y2 is greater than y1, it is judged as overload operation. In addition, after calibration or by knowing the dynamic accumulation angle and bulk density of the material, the conveying volume can also be calculated.
[0043] The above working condition detection method collects the image information of the belt conveyor, and analyzes and processes the image information to determine the working condition of the belt conveyor, avoiding setting multiple sensors at multiple locations on the conveyor belt and reducing The complexity of detection improves the reliability and sensitivity of detection.
[0044] Such as Figure 14 Shown is a schematic structural diagram of an embodiment of a working condition detection device of the present invention. The device includes: a collection unit 11 for collecting image information of a belt conveyor; a processing unit 12 for analyzing and processing the aforementioned image information; The unit 13 is used for judging the working condition of the belt conveyor according to the information processed by the processing unit 12.
[0045] Among them, the above-mentioned acquisition unit can be embedded in the same entity as the processing unit and the detection unit. Of course, it can also be separately arranged in different entities as required. However, no matter which setting method, as long as it includes the above-mentioned acquisition unit, processing unit and detection unit The functions of the unit belong to the technical solution to be protected by the present invention.
[0046] The above-mentioned working condition detection device collects the image information of the belt conveyor through the collection unit, analyzes and processes the above-mentioned image information through the processing unit, and judges the working condition of the belt conveyor through the detection unit, which avoids the excessive use of the conveyor belt. Multiple sensors are arranged in each position, which reduces the complexity of detection and improves the reliability and sensitivity of detection.
[0047] Such as Figure 15 Shown is a schematic structural diagram of an embodiment of a working condition detection system of the present invention. The system includes: a working condition detecting device 1 and a belt conveyor 2. The working condition detecting device 1 is used to collect image information of the above-mentioned belt conveyor 2 Analyze and process the image information, and determine the operating condition of the belt conveyor 2 based on the analyzed and processed information.
[0048] The above-mentioned working condition detection system collects the image information of the belt conveyor and analyzes and processes the image information to determine the working condition of the belt conveyor, avoiding the installation of multiple sensors at multiple locations on the conveyor belt, which reduces The complexity of detection improves the reliability and sensitivity of detection.
[0049] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: The technical solutions recorded in the foregoing embodiments are modified, or some of the technical features are equivalently replaced; these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

PUM

no PUM

Description & Claims & Application Information

We can also present the details of the Description, Claims and Application information to help users get a comprehensive understanding of the technical details of the patent, such as background art, summary of invention, brief description of drawings, description of embodiments, and other original content. On the other hand, users can also determine the specific scope of protection of the technology through the list of claims; as well as understand the changes in the life cycle of the technology with the presentation of the patent timeline. Login to view more.

Similar technology patents

In-situ detection method and device for hydrogen permeation current of fuel cell stack

PendingCN113782786Aavoid complexityFast measurement process
Owner:TONGJI UNIV

Calibration method suitable for binocular camera acquisition system

PendingCN113362397AIncreased accuracy and application rangeavoid complexity
Owner:合肥朗云物联科技股份有限公司

Voice calling method, device and system and user terminal

PendingCN114448945Aavoid complexityquality improvement
Owner:中国移动通信集团重庆有限公司 +1

Crayfish full-chain data acquisition and intelligent detection method and device

ActiveCN113408334Aavoid complexity
Owner:HUAZHONG AGRICULTURAL UNIVERSITY

Classification and recommendation of technical efficacy words

  • avoid complexity
  • Increased sensitivity and reliability

Instruction execution method for vector complex multiplication operation and corresponding device

ActiveCN101825998Aavoid complexityavoid expansion
Owner:LOONGSON TECH CORP

System for experiment for testing locked-rotor performance of motor

PendingCN106840679AEfficient testingavoid complexity
Owner:CHINA AUTOMOTIVE TECH & RES CENT

Data processing method for automatically rapid identifying protein phosphorylation site

InactiveCN101290305Aincrease credibilityavoid complexity
Owner:DALIAN INST OF CHEM PHYSICS CHINESE ACAD OF SCI

Refrigeration equipment smell detection method, detection device and refrigeration equipment

InactiveCN103940970AIncreased sensitivity and reliability
Owner:HAIER GRP CORP +1

Method for quickly detecting pathogenic bacteria carried by plant seeds of bacterial black rot

ActiveCN101838703AIncreased sensitivity and reliabilityovercome limitations
Owner:INST OF PLANT PROTECTION CHINESE ACAD OF AGRI SCI

Detection method of partial discharge of electrical equipment and device thereof

ActiveCN102508124AIncreased sensitivity and reliabilityOvercome installation and maintenance difficulties
Owner:GUANGXI POWER GRID ELECTRIC POWER RES INST +1

Vibration off-limit discrimination device and method for rotating equipment

ActiveCN105606205AIncreased sensitivity and reliability
Owner:NR ELECTRIC CO LTD +1

Magnetic characteristic-based three-dimensional braided composite material health detection method

PendingCN110274952AIncreased sensitivity and reliabilityBroad application prospects
Owner:XI'AN POLYTECHNIC UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products