Water environment pollution analysis method based on video recognition
An analysis method and video recognition technology, which is applied in the field of water pollution analysis and recognition, can solve problems such as relying on personnel experience, missing reports, and untimely emergency response, so as to achieve accurate recognition results and overcome the lagging effect
Pending Publication Date: 2021-01-01
HEFEI INST FOR PUBLIC SAFETY RES TSINGHUA UNIV +2
View PDF5 Cites 1 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
At present, the images of water bodies in key areas are mainly obtained through video surveillance, and whether there are abnormal sewage events can be judged by manually observing the color of water bodies. Generally, it can only be observed once every 1 to 2 hours. There is a lag in sudden water pollution events, resulting in follow-up The emergency response is not timely and relies too much on personnel experience, so there is a possibility of underreporting
The invention patent application with the publication number CN109857046A discloses an intelligent monitoring and management system and method for monitoring and early warning of river water pollution. It acquires video data through a second server and monitors water pollution in real time. However, it does not disclose how to implement video-based The method of identifying and judging the situation of water pollution cannot meet the needs of water pollution identification technology in this field
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0030] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.
[0031] like figure 1 As shown, the present embodiment provides a method for analyzing water environment pollution based on video recognition, comprising the following steps:
[0032] Step A: Obtain the historical data of the water environment on-site monitoring screen, manually calibrate each historical screen to see if there is an abnormal discharge label, and divide the calibrated data into a training set and a test set in proportion;
[0033] Step B: Build a deep learning model, input the training set into the deep learning model for training, and output the training model when the accuracy of model recognition meets the preset threshold;
[0034] Step C: Input the test set data into the training model, if the correct...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention provides a water environment pollution analysis method based on video recognition. The water environment pollution analysis method is based on a high-definition video data transmitted back from a water environment site, adopts a video comprehensive risk recognition model, an image recognition opencv module color recognition algorithm and an RBG color space three-dimensional ball distance algorithm, and outputs whether abnormal pollution discharge behaviors exist in the current water environment site or not and the risk level of the pollution discharge behaviors rapidly and accurately, thereby solving the problems that the hysteresis quality and efficiency of judging the comprehensive risk of the water environment based on the water environment water quality and quantity are low, and eliminating the defects of randomness, missing report and the like of pollution emission judgment of a manual monitoring video.
Description
technical field [0001] The invention relates to the technical field of water pollution analysis and recognition, in particular to a method for analyzing water environment pollution based on video recognition. Background technique [0002] At present, water pollution alarms often use water quality and water quantity monitoring. By setting alarm thresholds, water pollution incidents are alarmed and supervisors are reminded to take emergency measures. At present, the images of water bodies in key areas are mainly obtained through video surveillance, and whether there are abnormal sewage events can be judged by manually observing the color of the water bodies. Generally, it can only be observed once every 1 to 2 hours. There is a lag in sudden water pollution events, resulting in follow-up The emergency response is not timely, and it relies too much on personnel experience, so there is a possibility of underreporting. The invention patent application with the publication number...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08H04N7/18G08B21/24
CPCG06N3/08H04N7/18G08B21/24G06V20/41G06V10/56G06N3/044G06N3/045G06F18/2414
Inventor 程雨涵梁漫春刘美丽曹毅李梅钱益武徐立梅李楚王清泉吴正华杨思航
Owner HEFEI INST FOR PUBLIC SAFETY RES TSINGHUA UNIV