CN111241899B - Intelligent river channel control method - Google Patents
Intelligent river channel control method Download PDFInfo
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- CN111241899B CN111241899B CN201910232007.9A CN201910232007A CN111241899B CN 111241899 B CN111241899 B CN 111241899B CN 201910232007 A CN201910232007 A CN 201910232007A CN 111241899 B CN111241899 B CN 111241899B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
Abstract
The invention relates to an intelligent river channel control method which comprises the steps of using an intelligent river channel control platform to detect sundries in a river channel, packaging fishing request information and vertical rod address information together and sending the packaged information and the packaged information to a server of a far-end river channel management center through a network when the sundries exist, and improving the intelligent level of river channel control.
Description
Technical Field
The invention relates to the field of river channel control, in particular to an intelligent river channel control method.
Background
A common dredging method for a river channel is to perform cofferdam diversion in stages in the river channel, and calculate the section form and size of the cofferdam according to actual conditions of a construction site and a thank talent formula. One side is used for guiding water, and the other side is used for dredging a dry field. Or intercepting the water upstream, and discharging the water out of the construction area through a pipeline or other drainage channels, and carrying out dry field operation in the construction area. During construction, mainly machinery is used as a main part, an excavator is generally adopted for digging and throwing, and a self-discharging automobile is arranged and is abandoned in a waste soil yard.
The aim of river leveling treatment is to form greening, river sealing and grass growing along two banks of a river, recover vegetation, inhibit poplar dust, control a pollution source and form an ecological river. The river channel is segmented to form an ornamental water surface or a wider green land landscape, and is properly built into a more concentrated scenic spot by combining greening. The design principle of the flat surface of the river channel is that the trend of the river channel is not changed, and the center line of the river channel is designed to be basically consistent with the center line of the current river channel.
Disclosure of Invention
The invention has at least the following three key points:
(1) detecting sundries in the river channel, packaging fishing request information and vertical rod address information together when the sundries exist, and sending the packaged fishing request information and the vertical rod address information to a server of a far-end river channel management center through a network so as to improve the intelligent level of river channel management and control;
(2) acquiring each red channel value of each pixel point in an image, and calculating the mean square error of each red channel value to serve as a target mean square error so as to provide important reference data for judging the complexity of the image content;
(3) on the basis of the image smoothing processing and the median filtering processing, selective image enhancement processing is performed on different channel values of the image by using the characteristics and the importance degree of the different channel values.
According to an aspect of the present invention, an intelligent river channel management and control method is provided, the method includes using an intelligent river channel management and control platform to detect debris in a river channel, so that fishing request information and vertical bar address information are packaged together and sent to a server of a far-end river channel management center through a network when debris exists, so as to improve an intelligent level of river channel management and control, and the intelligent river channel management and control platform includes:
the sundries extraction device is connected with the data merging device and is used for matching the outline of the reference sundries with the data merging image, taking the image area in the matched data merging image as a target image area, and sending out a sundries existence signal when the area percentage of the target image area occupying the data merging image exceeds the limit, or sending out a sundries nonexistence signal;
in the sundries extraction equipment, the reference sundries profile is a reference mineral water bottle profile, a reference lunch box profile or a reference medicine bottle profile;
the packaging and conveying equipment is arranged on the vertical rod on one side of the river channel and used for packaging the fishing request information and the vertical rod address information together and sending the information to a server of a far-end river channel management center through a network when receiving the sundries existence signal;
the full-color snapshot device is arranged on a vertical rod on one side of the river channel and used for carrying out image snapshot operation towards the direction of the river channel so as to obtain a corresponding river channel snapshot image;
the parameter extraction equipment is connected with the full-color snapshot equipment and used for receiving the river channel snapshot image, acquiring each red channel value of each pixel point in the river channel snapshot image, and calculating the mean square error of each red channel value to be output as a target mean square error;
the content judgment device is connected with the parameter extraction device and used for receiving the target mean square error, determining the content complexity of the corresponding river channel snapshot image based on the numerical distribution range of the target mean square error and outputting the content complexity as the target complexity;
the parameter extraction equipment and the content judgment equipment are respectively realized by adopting CPLD chips with different models and share the same clock oscillator;
the instant smoothing equipment is used for receiving the river channel snapshot image and executing smoothing processing operation on the river channel snapshot image so as to obtain and output a corresponding instant smoothing image;
and the power on-off equipment is connected with the content judgment equipment and used for starting the power supply operation of the instant smoothing equipment when the received target complexity is higher than or equal to a preset complexity threshold value, and otherwise, closing the power supply operation of the instant smoothing equipment.
The intelligent river channel management and control method is intelligent in operation and convenient to manage. Because the debris in the river course are subjected to targeted detection, when the debris exist, the fishing request information and the vertical rod address information are packaged together and sent to a server of a far-end river course management center through a network, and therefore the intelligent level of river course management and control is improved.
Detailed Description
Embodiments of the present invention will be described in detail below.
Image processing (image processing) techniques that analyze an image with a computer to achieve a desired result. Also known as image processing. Image processing generally refers to digital image processing. Digital images are large two-dimensional arrays of elements called pixels and values called gray-scale values, which are captured by industrial cameras, video cameras, scanners, etc. Image processing techniques generally include image compression, enhancement and restoration, matching, description and identification of 3 parts.
The image is an important means for human to acquire information, express information and transmit information as a visual basis for human to perceive the world. Digital image processing, i.e. processing images by a computer, has not been developed for a long time. Digital image processing technology originated in the 20 th century, when a photograph was transmitted from london, england, to new york, usa through submarine cables, and digital compression technology was used. Firstly, the digital image processing technology can help people to know the world more objectively and accurately, a human vision system can help people to obtain more than 3/4 information from the outside, and images and figures are carriers of all visual information, although the discrimination of human eyes is high and thousands of colors can be recognized, in many cases, the images are blurred or even invisible to the human eyes, and the blurred or even invisible images can be made to be clear and bright through the image enhancement technology.
At present, the river course is the important river system of maintenance around resident's building or mill, and its cleanliness directly influences the quality of its surrounding environment, however, because the frequent of people's activity, some debris often do not on the river course, have influenced the view and the quality of water in river course, and current mainly relies on the manual mode to carry out the naked eye of debris and discern and salvage, leads to the intelligent level of river course management and control not high.
In order to overcome the defects, the invention provides an intelligent river channel control method which comprises the steps of using an intelligent river channel control platform to detect sundries in a river channel, packaging fishing request information and vertical rod address information together and sending the packaged information and the packaged information to a server of a far-end river channel management center through a network when the sundries exist, and improving the intelligent level of river channel control. The intelligent river channel management and control platform can effectively solve corresponding technical problems.
The intelligent river channel management and control platform shown according to the embodiment of the invention comprises:
the sundries extraction device is connected with the data merging device and is used for matching the outline of the reference sundries with the data merging image, taking the image area in the matched data merging image as a target image area, and sending out a sundries existence signal when the area percentage of the target image area occupying the data merging image exceeds the limit, or sending out a sundries nonexistence signal;
in the sundries extraction equipment, the reference sundries profile is a reference mineral water bottle profile, a reference lunch box profile or a reference medicine bottle profile;
the packaging and conveying equipment is arranged on the vertical rod on one side of the river channel and used for packaging the fishing request information and the vertical rod address information together and sending the information to a server of a far-end river channel management center through a network when receiving the sundries existence signal;
the full-color snapshot device is arranged on a vertical rod on one side of the river channel and used for carrying out image snapshot operation towards the direction of the river channel so as to obtain a corresponding river channel snapshot image;
the parameter extraction equipment is connected with the full-color snapshot equipment and used for receiving the river channel snapshot image, acquiring each red channel value of each pixel point in the river channel snapshot image, and calculating the mean square error of each red channel value to be output as a target mean square error;
the content judgment device is connected with the parameter extraction device and used for receiving the target mean square error, determining the content complexity of the corresponding river channel snapshot image based on the numerical distribution range of the target mean square error and outputting the content complexity as the target complexity;
the parameter extraction equipment and the content judgment equipment are respectively realized by adopting CPLD chips with different models and share the same clock oscillator;
the instant smoothing equipment is used for receiving the river channel snapshot image and executing smoothing processing operation on the river channel snapshot image so as to obtain and output a corresponding instant smoothing image;
the power on-off equipment is connected with the content judgment equipment and used for starting power supply operation on the instant smoothing equipment when the received target complexity is higher than or equal to a preset complexity threshold value, and otherwise, closing the power supply operation on the instant smoothing equipment;
the median filtering device is connected with the immediate smoothing device and used for receiving the immediate smoothing image and executing median filtering operation on the immediate smoothing image to obtain a corresponding median filtering image;
the channel value analysis equipment is connected with the median filtering equipment and used for receiving the median filtering image and obtaining a red-green channel value, a black-white channel value and a yellow-blue channel value of each pixel point in the median filtering image;
the dynamic processing equipment is connected with the channel value analysis equipment and is used for performing image enhancement processing on red and green patterns formed by red and green channel values of each pixel point in the median filtering image to obtain a first enhancement pattern, performing image enhancement processing on black and white patterns formed by black and white channel values of each pixel point in the median filtering image to obtain a second enhancement pattern, and forming yellow and blue patterns by yellow and blue channel values of each pixel point in the median filtering image;
the data merging device is connected with the dynamic processing device and is used for merging the first enhancement pattern, the second enhancement pattern and the yellow-blue pattern to obtain a data merging image corresponding to the median filtering image;
the GPRS communication interface is connected with the channel value analysis equipment and is used for receiving and wirelessly sending the red and green channel values, the black and white channel values and the yellow and blue channel values of each pixel point in the median filtering image;
the power on-off equipment is further connected with the content judgment equipment and used for starting power supply operation on the median filtering equipment when the received target complexity is higher than or equal to a preset complexity threshold, and otherwise, closing the power supply operation on the median filtering equipment.
Next, a specific structure of the intelligent river channel management and control platform of the present invention is further described.
In the intelligent river management and control platform:
the power on-off equipment is further connected with the content judgment equipment and used for starting power supply operation on the channel value analysis equipment when the received target complexity is higher than or equal to a preset complexity threshold value, and otherwise, closing the power supply operation on the channel value analysis equipment.
The intelligent river channel management and control platform can further comprise:
and the histogram equalization equipment is connected with the data merging equipment and used for receiving the data merging image and executing histogram equalization operation on the data merging image to obtain a corresponding histogram equalization image.
The intelligent river channel management and control platform can further comprise:
and the resolution adjusting equipment is connected with the histogram equalization equipment and is used for executing gray resolution improvement processing on the histogram equalization image so as to obtain a corresponding resolution improvement image and outputting the resolution improvement image.
The intelligent river channel management and control platform can further comprise:
and the block extraction device is connected with the resolution adjustment device and is used for executing image block processing with the same image block size on the Lena image and the resolution-improved image, the gray resolution of which exceeds a limited amount, so as to obtain each image block of the Lena image and each block of the resolution-improved image, extracting an image block at the middle position of each image block of the Lena image as a first image block, and extracting an image block at the middle position of each image block of the resolution-improved image as a second image block.
The intelligent river channel management and control platform can further comprise:
and the signal triggering device is connected with the block extracting device and used for sending out a first triggering signal when the gray resolution of the second image block is greater than or equal to the gray resolution of the first image block, and also used for sending out a second triggering signal when the gray resolution of the second image block is smaller than the gray resolution of the first image block.
The intelligent river channel management and control platform can further comprise:
and the subsequent processing equipment is respectively connected with the sundries extraction equipment and the signal trigger equipment and is used for dividing the gray resolution of the first image block by the gray resolution of the second image block to obtain a corresponding multiple when the second trigger signal is received, and determining the times of performing subsequent multiple times of gray resolution improvement on the resolution improved image based on the multiple to perform multiple times of gray resolution improvement processing on the resolution improved image to obtain a corresponding subsequent processing image.
In the intelligent river management and control platform:
the subsequent processing device is further configured to take the resolution-enhanced image as a subsequent processing image when receiving the first trigger signal;
the subsequent processing device is further configured to replace the data merged image with the subsequent processed image and send the subsequent processed image to the debris extraction device.
In addition, General Packet Radio Service (generic Packet Radio Service) is a mobile data Service available to GSM mobile phone users. GPRS is said to be a continuation of GSM. GPRS is different from the conventional method of continuous channel transmission in that it is transmitted in Packet (Packet) mode, so the cost of the user is calculated in units of the data to be transmitted, rather than using the entire channel, and is theoretically cheaper. The transmission rate of GPRS can be increased to 56 or even 114 Kbps.
GPRS is often described as "2.5G", meaning that the technology is located between second generation (2G) and third generation (3G) mobile communication technologies. He provides moderate data transfer by utilizing unused TDMA channels in the GSM network. GPRS breaks through the thinking that GSM networks can only provide circuit switching, and packet switching is implemented only by adding corresponding functional entities and partially modifying the existing base station system, which is relatively inexpensive in investment, but the obtained user data rate is considerable. Furthermore, connection and transmission are facilitated since the intermediate switches required by current wireless applications are no longer required. Therefore, the user can not only online and participate in interactive transmission of video conferences, but also the user on the same video network (VRN) can continuously connect with the network without dialing the network.
GPRS packet-switched communication in the packet-switched communication mode, data is divided into packets of a certain length, each packet being preceded by a packet header (where the address tag indicates where the packet is destined). The channel is not required to be allocated in advance before the data is transmitted, and the connection is established. Instead, upon the arrival of each packet, an available channel resource is temporarily sought to transmit the datagram based on information in the data header (e.g., destination address). In this transmission method, there is no fixed occupation relationship between the sending and receiving sides of data and the channel, and the channel resources can be regarded as being shared by all users. Since data services exhibit a bursty service characteristic in most cases and the demand for channel bandwidth varies greatly, packet-based data transmission can make better use of channel resources. For example, a user browsing the WWW is most of the time in the browsing state, while the time actually used for data transfer is only a small percentage. In this case, if the channel is fixedly occupied, a large amount of resources will be wasted.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (2)
1. An intelligent river channel management and control method comprises the steps of using an intelligent river channel management and control platform to detect sundries in a river channel, packaging fishing request information and vertical rod address information together and sending the packaged information and the packaged information to a remote server of a river channel management center through a network when the sundries exist, and improving the intelligent level of river channel management and control, wherein the intelligent river channel management and control platform comprises:
the sundries extraction device is connected with the data merging device and is used for matching the outline of the reference sundries with the data merging image, taking the image area in the matched data merging image as a target image area, and sending out a sundries existence signal when the area percentage of the target image area occupying the data merging image exceeds the limit, or sending out a sundries nonexistence signal;
in the sundries extraction equipment, the reference sundries profile is a reference mineral water bottle profile, a reference lunch box profile or a reference medicine bottle profile;
the packaging and conveying equipment is arranged on the vertical rod on one side of the river channel and used for packaging the fishing request information and the vertical rod address information together and sending the information to a server of a far-end river channel management center through a network when receiving the sundries existence signal;
the full-color snapshot device is arranged on a vertical rod on one side of the river channel and used for carrying out image snapshot operation towards the direction of the river channel so as to obtain a corresponding river channel snapshot image;
the parameter extraction equipment is connected with the full-color snapshot equipment and used for receiving the river channel snapshot image, acquiring each red channel value of each pixel point in the river channel snapshot image, and calculating the mean square error of each red channel value to be output as a target mean square error;
the content judgment device is connected with the parameter extraction device and used for receiving the target mean square error, determining the content complexity of the corresponding river channel snapshot image based on the numerical distribution range of the target mean square error and outputting the content complexity as the target complexity;
the parameter extraction equipment and the content judgment equipment are respectively realized by adopting CPLD chips with different models and share the same clock oscillator;
the instant smoothing equipment is used for receiving the river channel snapshot image and executing smoothing processing operation on the river channel snapshot image so as to obtain and output a corresponding instant smoothing image;
the power on-off equipment is connected with the content judgment equipment and used for starting power supply operation on the instant smoothing equipment when the received target complexity is higher than or equal to a preset complexity threshold value, and otherwise, closing the power supply operation on the instant smoothing equipment;
the median filtering device is connected with the immediate smoothing device and used for receiving the immediate smoothing image and executing median filtering operation on the immediate smoothing image to obtain a corresponding median filtering image;
the channel value analysis equipment is connected with the median filtering equipment and used for receiving the median filtering image and obtaining a red-green channel value, a black-white channel value and a yellow-blue channel value of each pixel point in the median filtering image;
the dynamic processing equipment is connected with the channel value analysis equipment and is used for performing image enhancement processing on red and green patterns formed by red and green channel values of each pixel point in the median filtering image to obtain a first enhancement pattern, performing image enhancement processing on black and white patterns formed by black and white channel values of each pixel point in the median filtering image to obtain a second enhancement pattern, and forming yellow and blue patterns by yellow and blue channel values of each pixel point in the median filtering image;
the data merging device is connected with the dynamic processing device and is used for merging the first enhancement pattern, the second enhancement pattern and the yellow-blue pattern to obtain a data merging image corresponding to the median filtering image;
the GPRS communication interface is connected with the channel value analysis equipment and is used for receiving and wirelessly sending the red and green channel values, the black and white channel values and the yellow and blue channel values of each pixel point in the median filtering image;
the power on-off equipment is further connected with the content judgment equipment and used for starting power supply operation on the median filtering equipment when the received target complexity is higher than or equal to a preset complexity threshold value, and otherwise, closing the power supply operation on the median filtering equipment;
the histogram equalization equipment is connected with the data merging equipment and used for receiving the data merging image and executing histogram equalization operation on the data merging image to obtain a corresponding histogram equalization image;
the resolution adjusting device is connected with the histogram equalization device and is used for executing gray resolution improvement processing on the histogram equalization image to obtain a corresponding resolution improvement image and outputting the resolution improvement image;
a block extraction device connected to the resolution adjustment device, configured to perform image block processing of the same image block size on a lena image and the resolution-enhanced image, where a grayscale resolution exceeds a limited amount, to obtain respective image blocks of the lena image and respective blocks of the resolution-enhanced image, extract an image block at a middle position of the respective image blocks of the lena image as a first image block, and extract an image block at a middle position of the respective image blocks of the resolution-enhanced image as a second image block;
and the signal triggering device is connected with the block extracting device and used for sending out a first triggering signal when the gray resolution of the second image block is greater than or equal to the gray resolution of the first image block, and also used for sending out a second triggering signal when the gray resolution of the second image block is smaller than the gray resolution of the first image block.
2. The method of claim 1, wherein:
the power on-off equipment is further connected with the content judgment equipment and used for starting power supply operation on the channel value analysis equipment when the received target complexity is higher than or equal to a preset complexity threshold value, and otherwise, closing the power supply operation on the channel value analysis equipment.
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| CN101504775B (en) * | 2009-03-19 | 2011-08-31 | 浙江大学 | Roaming video automatic generation method based on image set |
| CN102722709B (en) * | 2012-05-23 | 2014-10-29 | 杭州朗和科技有限公司 | Method and device for identifying garbage pictures |
| CN103914863B (en) * | 2014-03-10 | 2017-06-16 | 西藏民族学院 | A kind of coloured image abstract method for drafting |
| CN105512666A (en) * | 2015-12-16 | 2016-04-20 | 天津天地伟业数码科技有限公司 | River garbage identification method based on videos |
| US10089521B2 (en) * | 2016-09-02 | 2018-10-02 | VeriHelp, Inc. | Identity verification via validated facial recognition and graph database |
| CN107085852B (en) * | 2017-04-01 | 2019-12-20 | 南昌大学 | River channel surface flow field testing method based on unmanned aerial vehicle aerial photography |
| CN107882005A (en) * | 2017-12-20 | 2018-04-06 | 杨雪锋 | A kind of river course device for cleaning water surface rubbish |
| CN109288455B (en) * | 2018-09-21 | 2022-03-04 | 北京智行者科技有限公司 | Garbage cleaning method and device |
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