CN110369182B - On-site decontamination strategy selection method - Google Patents
On-site decontamination strategy selection method Download PDFInfo
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- CN110369182B CN110369182B CN201910209978.1A CN201910209978A CN110369182B CN 110369182 B CN110369182 B CN 110369182B CN 201910209978 A CN201910209978 A CN 201910209978A CN 110369182 B CN110369182 B CN 110369182B
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- 238000005202 decontamination Methods 0.000 title claims abstract description 32
- 230000003588 decontaminative effect Effects 0.000 title claims abstract description 32
- 238000010187 selection method Methods 0.000 title claims abstract description 6
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 32
- 239000003599 detergent Substances 0.000 claims abstract description 30
- 239000010865 sewage Substances 0.000 claims abstract description 15
- 238000002347 injection Methods 0.000 claims abstract description 12
- 239000007924 injection Substances 0.000 claims abstract description 12
- 239000011159 matrix material Substances 0.000 claims description 70
- 238000012545 processing Methods 0.000 claims description 36
- 239000007921 spray Substances 0.000 claims description 24
- 239000000725 suspension Substances 0.000 claims description 22
- 238000012937 correction Methods 0.000 claims description 17
- 238000000034 method Methods 0.000 claims description 16
- 238000000926 separation method Methods 0.000 claims description 10
- 238000005507 spraying Methods 0.000 claims description 10
- 238000001514 detection method Methods 0.000 claims description 6
- 230000011218 segmentation Effects 0.000 claims description 6
- 238000000605 extraction Methods 0.000 claims description 5
- 238000012935 Averaging Methods 0.000 claims description 4
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 2
- 230000007613 environmental effect Effects 0.000 description 7
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 230000018109 developmental process Effects 0.000 description 3
- 229910052710 silicon Inorganic materials 0.000 description 3
- 239000010703 silicon Substances 0.000 description 3
- 241000282412 Homo Species 0.000 description 2
- 238000012790 confirmation Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
- 238000003708 edge detection Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000002269 spontaneous effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 238000003911 water pollution Methods 0.000 description 1
- 238000005303 weighing Methods 0.000 description 1
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B05—SPRAYING OR ATOMISING IN GENERAL; APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05B—SPRAYING APPARATUS; ATOMISING APPARATUS; NOZZLES
- B05B12/00—Arrangements for controlling delivery; Arrangements for controlling the spray area
- B05B12/08—Arrangements for controlling delivery; Arrangements for controlling the spray area responsive to condition of liquid or other fluent material to be discharged, of ambient medium or of target ; responsive to condition of spray devices or of supply means, e.g. pipes, pumps or their drive means
- B05B12/12—Arrangements for controlling delivery; Arrangements for controlling the spray area responsive to condition of liquid or other fluent material to be discharged, of ambient medium or of target ; responsive to condition of spray devices or of supply means, e.g. pipes, pumps or their drive means responsive to conditions of ambient medium or target, e.g. humidity, temperature position or movement of the target relative to the spray apparatus
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
Abstract
The invention relates to a field decontamination strategy selection method, which comprises the step of providing a field decontamination strategy selection platform for determining reference definition serving as reference data of detergent injection dosage based on each definition numerical value of each divided sub-image so as to execute quantitative injection of a detergent to a water body at a sewage discharge port.
Description
Technical Field
The invention relates to the field of environmental management, in particular to a method for selecting a field decontamination strategy.
Background
Environmental governance generally refers to the collective name of various actions that humans take to solve real or potential environmental problems, coordinate the relationship between humans and the environment, protect the human living environment, and ensure the sustainable development of the economy and society. The method and means are engineering, administrative, economic, propaganda and education.
The environmental management is wide in involved range and strong in comprehensiveness, and the environmental management relates to a plurality of fields of natural science and social science and the like and also has a unique research object. The environmental management mode comprises the following steps: by adopting administration, law, economy, scientific technology, folk spontaneous environmental protection organization and the like, natural resources are reasonably utilized, environmental pollution and damage are prevented, the common balanced sustainable development of the natural environment, the human environment and the economic environment is required, the reproduction of useful resources is expanded, and the social development is ensured.
Disclosure of Invention
The invention requires at least two key points:
(1) performing image average segmentation on the image based on the sharpening degree of the customized image to obtain each segmented sub-image, performing definition identification on each sub-image to obtain a corresponding definition value, sequencing the definition values of the sub-images from large to small, and taking the definition value at the center of the sequence number in the sequenced queue as reference definition to be used as reference data of detergent injection dosage, so as to perform quantitative injection of the detergent towards the water body at the sewage discharge port;
(2) on the basis of the gamma correction processing action on the image, sharpening processing based on the respective matrix contents is performed on the L component matrix, the a component matrix, and the B component matrix of the image.
According to an aspect of the present invention, there is provided an on-site decontamination strategy selection method including providing an on-site decontamination strategy selection platform for determining a reference sharpness for use as reference data of a detergent injection dose based on respective sharpness values of respective sub-images after division, thereby performing quantitative injection of a detergent into a body of water at a drain, the on-site decontamination strategy selection platform including: and a detergent spraying apparatus disposed above the factory drain, connected to the data recognition apparatus, for determining a detergent spray dose corresponding to the reference definition, and performing spraying of the detergent according to the determined detergent spray dose.
More specifically, in the on-site decontamination strategy selection platform: the detergent spraying apparatus includes: a spray tap that performs spraying of a decontaminant toward a body of water at a drain, a spray drive motor, and a signal converter.
More specifically, in the on-site decontamination strategy selection platform: the spray drive motor is connected to the spray tap and the signal converter, respectively, and the signal converter is used for determining a detergent spray dose corresponding to the reference sharpness.
More specifically, in the on-site decontamination strategy selection platform, the platform further includes: the wired capturing equipment is arranged above a sewage discharge outlet of a factory and is used for capturing image data of the water body environment at the sewage discharge outlet so as to obtain a corresponding water body environment image; the target separation equipment is arranged on one side of the wired capturing equipment, is connected with the wired capturing equipment, and is used for receiving the water body environment image and executing target identification action on the water body environment image so as to obtain target sub-images in which targets in the water body environment image are respectively located; the contour identification device is connected with the target separation device and used for obtaining the contour of each target sub-image and performing consistency matching on each contour of each target sub-image so as to determine the corresponding consistency degree based on the matching result; and the signal extraction equipment is connected with the contour recognition equipment and is used for sending out a first driving signal when the consistency degree exceeds the limit, and otherwise, sending out a second driving signal.
The field decontamination strategy selection platform has reliable data and convenient operation. Because the definition of each sub-image of the customized image is identified to obtain a corresponding definition value, the definition values of the sub-images are sorted from large to small, and the definition value at the center of the serial number in the sorted queue is used as the reference definition to be used as the reference data of the injection dosage of the detergent, thereby executing the quantitative injection of the detergent towards the water body at the sewage discharge port.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a sectional view illustrating a plant sewage drain to which a field decontamination strategy selection platform is applied according to an embodiment of the present invention.
Detailed Description
Embodiments of the site abatement strategy selection platform of the present invention will now be described in detail with reference to the accompanying drawings.
Image detection, namely Image measurement, extends the idea of edge detection to the recognition of the whole Image, and usually achieves the purpose of judging whether the detected Image belongs to a certain Image in a known Image database or deducing that the Image is most similar to a certain known Image after comprehensive judgment. Image detection is also sometimes used to retrieve a given sub-image from a known image.
The purpose of image detection is to perform state confirmation or value extraction on each parameter or object in the data acquired by the image, and provide important reference data for each item of subsequent image processing or other control according to the result of the state confirmation or value extraction.
In the prior art, although it is determined that the water pollution degree can be obtained more intuitively by adopting a visual judgment mode, important reference data is provided for selection of a field decontamination strategy, however, due to lack of a customized image processing mechanism, accurate water quality judgment cannot be carried out on the water at a sewage discharge port, and a targeted field decontamination strategy cannot be formulated.
In order to overcome the defects, the invention builds a field decontamination strategy selection method, which comprises providing a field decontamination strategy selection platform for determining the reference definition used as the reference data of the detergent injection dosage based on the definition numerical values of the divided sub-images so as to execute quantitative injection of the detergent towards the water body at the sewage discharge port. The on-site decontamination strategy selection platform can effectively solve the corresponding technical problem.
Fig. 1 is a sectional view illustrating a plant sewage drain to which a field decontamination strategy selection platform is applied according to an embodiment of the present invention. Wherein, 1 is an outer pipeline, and 2 is an inner pipeline.
The field decontamination strategy selection platform shown according to the embodiment of the invention comprises:
and a detergent spraying apparatus disposed above the factory drain, connected to the data recognition apparatus, for determining a detergent spray dose corresponding to the reference definition, and performing spraying of the detergent according to the determined detergent spray dose.
Next, a detailed description of the structure of the site decontamination strategy selection platform of the present invention will be further continued.
In the field decontamination strategy selection platform:
the detergent spraying apparatus includes: a spray tap that performs spraying of a decontaminant toward a body of water at a drain, a spray drive motor, and a signal converter.
In the field decontamination strategy selection platform:
the spray drive motor is connected to the spray tap and the signal converter, respectively, and the signal converter is used for determining a detergent spray dose corresponding to the reference sharpness.
The field decontamination strategy selection platform can further comprise:
the wired capturing equipment is arranged above a sewage discharge outlet of a factory and is used for capturing image data of the water body environment at the sewage discharge outlet so as to obtain a corresponding water body environment image;
the target separation equipment is arranged on one side of the wired capturing equipment, is connected with the wired capturing equipment, and is used for receiving the water body environment image and executing target identification action on the water body environment image so as to obtain target sub-images in which targets in the water body environment image are respectively located;
the contour identification device is connected with the target separation device and used for obtaining the contour of each target sub-image and performing consistency matching on each contour of each target sub-image so as to determine the corresponding consistency degree based on the matching result;
the signal extraction equipment is connected with the contour recognition equipment and is used for sending out a first driving signal when the consistency degree exceeds the limit, and otherwise, sending out a second driving signal;
the instant correction device is used for starting to receive the water body environment image from the target separation device when receiving the second driving signal, stopping receiving the water body environment image from the target separation device when receiving the first driving signal, and executing gamma correction processing action on the received water body environment image to obtain an image subjected to the gamma correction processing action and output the image as an instant correction image;
the component identification device is connected with the instant correction device and used for receiving the instant correction image and performing conversion to an LAB component space on the instant correction image to obtain an L component matrix, an A component matrix and a B component matrix of the instant correction image;
the dynamic sharpening device is connected with the component identification device and is used for determining the number of times of sharpening processing on the L component matrix based on the mean square error of the L component matrix, determining the number of times of sharpening processing on the A component matrix based on the mean square error of the A component matrix, and determining the number of times of sharpening processing on the B component matrix based on the mean square error of the B component matrix;
the matrix processing device is connected with the dynamic sharpening device and is used for synchronously carrying out sharpening processing on the L component matrix, the A component matrix and the B component matrix for respective corresponding times so as to obtain three corresponding processed matrixes;
the matrix merging equipment is connected with the matrix processing equipment and is used for combining the data at the same position of the three processed matrixes to obtain a matrix merging image;
the equipartition processing equipment is connected with the matrix merging equipment and used for receiving the matrix merging image and performing image average segmentation on the matrix merging image based on the sharpening degree of the matrix merging image so as to obtain each segmented sub-image;
in the equipartition processing apparatus, performing image averaging segmentation on the matrix-merged image based on a degree of sharpening of the matrix-merged image to obtain segmented respective sub-images includes: the higher the sharpening degree of the matrix combined image is, the larger the area of each divided sub-image is;
the data identification equipment is arranged above a factory sewage draining exit, is connected with the equipartition processing equipment and is used for receiving each subimage, identifying the definition of each subimage to obtain a corresponding definition numerical value, sequencing the definition numerical values of the subimages from large to small, and outputting the definition numerical value at the center of the sequence number in the sequenced queue as the reference definition;
wherein, in the dynamic sharpening device, determining the number of times of performing a sharpening process on the L component matrix based on a mean square error of the L component matrix comprises: the smaller the mean square error of the L component matrix is, the fewer the number of times of performing sharpening processing on the L component matrix is;
in the dynamic sharpening device, determining the number of times a sharpening process is performed on the a component matrix based on the mean square error of the a component matrix includes: the smaller the mean square error of the a component matrix is, the fewer the number of times the sharpening process is performed on the a component matrix is.
In the field decontamination strategy selection platform:
in the dynamic sharpening device, determining the number of times of performing a sharpening process on the B component matrix based on the mean square error of the B component matrix includes: the smaller the mean square error of the B component matrix, the fewer the number of sharpening processes performed on the B component matrix.
In the field decontamination strategy selection platform:
in the contour recognition apparatus, consistency matching respective contours of respective target sub-images to determine corresponding consistency degrees based on matching results includes: the more uniform the respective contours of the respective target sub-images, the higher the corresponding degree of uniformity is determined.
The field decontamination strategy selection platform can further comprise:
and the multi-parameter detection equipment is respectively connected with the data identification equipment, the equalization processing equipment and the currently unused suspension pins of the signal converter so as to obtain the current temperature of the currently unused suspension pins of the data identification equipment, the current temperature of the currently unused suspension pins of the equalization processing equipment and the current temperature of the currently unused suspension pins of the signal converter.
The field decontamination strategy selection platform can further comprise:
the MCU control chip is connected with the multi-parameter detection equipment and is used for receiving the current temperature of the current unused suspension pins of the data identification equipment, the current temperature of the current unused suspension pins of the averaging processing equipment and the current temperature of the current unused suspension pins of the signal converter, and performing weighted mean operation on the current temperature of the current unused suspension pins of the data identification equipment, the current temperature of the current unused suspension pins of the averaging processing equipment and the current temperature of the current unused suspension pins of the signal converter to obtain reference pin temperatures;
the field storage device is used for pre-storing three weight values of the current temperature of the currently unused suspension pin of the data identification device, the current temperature of the currently unused suspension pin of the equipartition processing device and the current temperature of the currently unused suspension pin of the signal converter, which respectively participate in weighted mean calculation;
the voice alarm equipment is connected with the MCU control chip and used for receiving the entity temperature of the silicon wafer and carrying out corresponding voice alarm operation when the entity temperature of the silicon wafer is not within a preset temperature range;
the voice alarm equipment comprises a parameter matching unit and a voice alarm chip, wherein the parameter matching unit is connected with the voice alarm chip.
In the field decontamination strategy selection platform:
the MCU control chip is also used for multiplying the obtained reference pin temperature by a balance factor to obtain the silicon wafer entity temperature of the data identification equipment;
in the field storage device, the current temperature of the currently unused suspension pin of the data identification device, the current temperature of the currently unused suspension pin of the average division processing device and the current temperature of the currently unused suspension pin of the signal converter are different in size, and the three weight values of the current temperature of the currently unused suspension pin of the data identification device and the current temperature of the currently unused suspension pin of the signal converter participate in weighted mean calculation respectively;
and the field storage device is connected with the MCU control chip and is used for pre-storing the weighing factors.
In addition, the MCU may be classified into a Harvard (Harvard) structure and a von neumann (von neumann) structure according to its memory structure. Most of the current single-chip computers are based on a von Neumann structure, and the structure clearly defines four essential parts required by an embedded system: a central processor core, program memory (read only memory or flash memory), data memory (random access memory), one or more timers/timers, and input/output ports for communicating with peripherals and extended resources, all integrated on a single integrated circuit chip.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature.
Although the present invention has been described with reference to the above embodiments, it should be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention. Therefore, the protection scope of the present invention should be subject to the scope defined by the claims of the present application.
Claims (4)
1. A field decontamination strategy selection method, the method comprising providing a field decontamination strategy selection platform for determining a reference resolution to be used as reference data for a detergent injection dose based on respective resolution values of respective sub-images after segmentation, thereby performing a quantitative injection of a detergent into a body of water at a drain, the field decontamination strategy selection platform comprising:
a detergent spraying apparatus disposed above the factory drain, connected to the data recognition apparatus, for determining a detergent spray dose corresponding to the reference definition, and performing a spray of detergent according to the determined detergent spray dose;
the detergent spraying apparatus includes: a spray tap, a spray drive motor, and a signal converter, the spray tap performing a spray of a decontaminant toward a body of water at a drain;
the spray driving motor is respectively connected with the spray tap and the signal converter, and the signal converter is used for determining a detergent spray dose corresponding to the reference definition;
the wired capturing equipment is arranged above a sewage discharge outlet of a factory and is used for capturing image data of the water body environment at the sewage discharge outlet so as to obtain a corresponding water body environment image;
the target separation equipment is arranged on one side of the wired capturing equipment, is connected with the wired capturing equipment, and is used for receiving the water body environment image and executing target identification action on the water body environment image so as to obtain target sub-images in which targets in the water body environment image are respectively located;
the contour identification device is connected with the target separation device and used for obtaining the contour of each target sub-image and performing consistency matching on each contour of each target sub-image so as to determine the corresponding consistency degree based on the matching result;
the signal extraction equipment is connected with the contour recognition equipment and is used for sending out a first driving signal when the consistency degree exceeds the limit, and otherwise, sending out a second driving signal;
the instant correction device is used for starting to receive the water body environment image from the target separation device when receiving the second driving signal, stopping receiving the water body environment image from the target separation device when receiving the first driving signal, and executing gamma correction processing action on the received water body environment image to obtain an image subjected to the gamma correction processing action and output the image as an instant correction image;
the component identification device is connected with the instant correction device and used for receiving the instant correction image and performing conversion to an LAB component space on the instant correction image to obtain an L component matrix, an A component matrix and a B component matrix of the instant correction image;
the dynamic sharpening device is connected with the component identification device and is used for determining the number of times of sharpening processing on the L component matrix based on the mean square error of the L component matrix, determining the number of times of sharpening processing on the A component matrix based on the mean square error of the A component matrix, and determining the number of times of sharpening processing on the B component matrix based on the mean square error of the B component matrix;
the matrix processing device is connected with the dynamic sharpening device and is used for synchronously carrying out sharpening processing on the L component matrix, the A component matrix and the B component matrix for respective corresponding times so as to obtain three corresponding processed matrixes;
the matrix merging equipment is connected with the matrix processing equipment and is used for combining the data at the same position of the three processed matrixes to obtain a matrix merging image;
the equipartition processing equipment is connected with the matrix merging equipment and used for receiving the matrix merging image and performing image average segmentation on the matrix merging image based on the sharpening degree of the matrix merging image so as to obtain each segmented sub-image;
in the equipartition processing apparatus, performing image averaging segmentation on the matrix-merged image based on a degree of sharpening of the matrix-merged image to obtain segmented respective sub-images includes: the higher the sharpening degree of the matrix combined image is, the larger the area of each divided sub-image is;
the data identification equipment is arranged above a factory sewage draining exit, is connected with the equipartition processing equipment and is used for receiving each subimage, identifying the definition of each subimage to obtain a corresponding definition numerical value, sequencing the definition numerical values of the subimages from large to small, and outputting the definition numerical value at the center of the sequence number in the sequenced queue as the reference definition;
wherein, in the dynamic sharpening device, determining the number of times of performing a sharpening process on the L component matrix based on a mean square error of the L component matrix comprises: the smaller the mean square error of the L component matrix is, the fewer the number of times of performing sharpening processing on the L component matrix is;
in the dynamic sharpening device, determining the number of times a sharpening process is performed on the a component matrix based on the mean square error of the a component matrix includes: the smaller the mean square error of the a component matrix is, the fewer the number of times the sharpening process is performed on the a component matrix is.
2. The method of claim 1, wherein:
in the dynamic sharpening device, determining the number of times of performing a sharpening process on the B component matrix based on the mean square error of the B component matrix includes: the smaller the mean square error of the B component matrix, the fewer the number of sharpening processes performed on the B component matrix.
3. The method of claim 2, wherein:
in the contour recognition apparatus, consistency matching respective contours of respective target sub-images to determine corresponding consistency degrees based on matching results includes: the more uniform the respective contours of the respective target sub-images, the higher the corresponding degree of uniformity is determined.
4. The method of claim 3, wherein the platform further comprises:
and the multi-parameter detection equipment is respectively connected with the data identification equipment, the equalization processing equipment and the currently unused suspension pins of the signal converter so as to obtain the current temperature of the currently unused suspension pins of the data identification equipment, the current temperature of the currently unused suspension pins of the equalization processing equipment and the current temperature of the currently unused suspension pins of the signal converter.
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Denomination of invention: On site decontamination strategy selection method Effective date of registration: 20211117 Granted publication date: 20201016 Pledgee: Zhejiang Tailong Commercial Bank Co.,Ltd. Shaoxing Zhuji small and micro enterprise franchise sub branch Pledgor: ZHUJI TIANYOU ENVIRONMENTAL SCIENCE AND TECHNOLOGY LTD. Registration number: Y2021980012341 |
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Date of cancellation: 20230103 Granted publication date: 20201016 Pledgee: Zhejiang Tailong Commercial Bank Co.,Ltd. Shaoxing Zhuji small and micro enterprise franchise sub branch Pledgor: ZHUJI TIANYOU ENVIRONMENTAL SCIENCE AND TECHNOLOGY LTD. Registration number: Y2021980012341 |
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Denomination of invention: Selection method of on-site decontamination strategy Effective date of registration: 20230201 Granted publication date: 20201016 Pledgee: Zhejiang Tailong Commercial Bank Co.,Ltd. Shaoxing Zhuji small and micro enterprise franchise sub branch Pledgor: ZHUJI TIANYOU ENVIRONMENTAL SCIENCE AND TECHNOLOGY LTD. Registration number: Y2023980031892 |