CN115656172A - Smoke emission recognition system based on machine vision technology - Google Patents
Smoke emission recognition system based on machine vision technology Download PDFInfo
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- CN115656172A CN115656172A CN202211342526.9A CN202211342526A CN115656172A CN 115656172 A CN115656172 A CN 115656172A CN 202211342526 A CN202211342526 A CN 202211342526A CN 115656172 A CN115656172 A CN 115656172A
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Abstract
The invention discloses a smoke emission recognition system based on a machine vision technology, which comprises: a control terminal having: a user operates the display module; the monitoring equipment comprises a smoke emission acquisition module; the central server is provided with a smoke recognition module. The invention detects the smoke discharge condition in real time by a vision technology, and has convenient installation and stable system.
Description
Technical Field
The invention belongs to an intelligent recognition and detection system for smoke emission in the steel industry.
Background
The environment monitoring work refers to the work of monitoring the environment within a range, and can help related workers to obtain complete information of the current environment state so as to judge whether the quality of the environment reaches the standard, if the environment does not reach the standard, specific weak items can be confirmed according to information expression, and corresponding measures are taken, so that the concept is advocated in the industry since the self-promotion.
In the prior art, the traditional environment protection work mainly depends on a manual mode, and in the operation of the mode, the detection of the environment state is realized only by the naked eyes, subjective understanding, experience and some simple devices of workers, so in the mode, the quality of the whole work is reduced due to the limitation of the self ability of workers, the reliability and scientificity of the work are determined by the subjective understanding and experience, wrong work results often appear, and finally the integrity of detection information cannot be guaranteed by the simple devices due to the multi-dimensional characteristics of the environment quality state. Under the application of environment monitoring, equipment with higher degree of advancement is mainly used as a main tool for environment detection, workers can completely acquire environment quality information through the advanced equipment and then comprehensively analyze the information acquired by the equipment, at the moment, whether the quality state of the current environment reaches the standard or not, specific pollution factors in the environment and the like can be judged, corresponding measures are taken pertinently, the improvement of the environment quality is facilitated, and therefore the depth of environment protection work can be improved through the environment monitoring.
The steel industry has the problems at present: (1) emissions with uncertainty: the whole production process involves a plurality of unorganized emission sources and has uncertainty in time and space; (2) The non-systematic management and control and treatment, the non-organized discharge and organized discharge have relevance, and the systematic treatment is needed. For this reason, a corresponding technical scheme needs to be designed for solution.
Disclosure of Invention
The invention aims to solve the problems and provides a machine vision technology-based smoke emission identification system which is strong in real-time performance, high in stability and convenient and fast to operate.
In order to achieve the purpose, the invention adopts the following technical scheme: a machine vision based smoke emission identification system comprising:
a control terminal having:
the user operation display module sends the data to the central server for corresponding acquisition identification, identification data display and the like;
a monitoring device having:
and the smoke emission acquisition module is used for receiving the appointed acquired smoke image and sending the smoke image to the central server.
A hub server having:
the smoke recognition module receives the collected information, detects specific smoke discharge conditions according to a collected information graph detection algorithm, and sends the detection conditions to the terminal equipment;
as a preferred implementation mode of the invention, the control terminal comprises a knowledge base for smoke detection and emission indexes.
As a preferred embodiment of the present invention, the control terminal includes an inquiry module for inquiring the smoke emission detection record.
As a preferred embodiment of the present invention, the control terminal, the hub server, and the monitoring device are connected through a network.
As a preferred embodiment of the invention, the central server comprises a detection smoke model training library and a detection algorithm.
A smoke emission recognition system operation and use method based on a machine vision technology comprises the following steps:
s101, collecting a real-time smoke exhaust image by monitoring equipment and sending the real-time smoke exhaust image to a central server;
and S102, the central server receives the smoke-discharging image, performs image recognition, sends the recognized result to the control terminal, and controls whether to alarm or not according to the returned result.
Specifically, in step S102, the hub server includes the following steps:
k101, after receiving image information sent by monitoring equipment, the central control server inquires a smoke exhaust characteristic knowledge base of the central control server according to smoke exhaust characteristics so as to judge whether organized smoke exhaust or unorganized smoke exhaust exists or not, and feeds back a judgment result to the control terminal;
in a preferred embodiment of the present invention, the color and the smoke amount of the smoke are also included.
Compared with the prior art, the invention has the following beneficial effects:
(1) The invention realizes the management of colleges and universities through the computer, greatly improves the manpower and efficiency replaced by the machine, and avoids the conditions of inter-inspection, false detection, missed detection and the like.
(2) The invention reduces the unorganized emission situation and changes the overall environment of the plant area. The method makes a contribution to the environmental protection career, saves the labor cost, and avoids the penalty expense in the past and the shutdown production loss caused by the unorganized emission rectification.
(3) The method has good social influence after the application, has no complaint phenomenon caused by the smoke discharge problem, and greatly improves the enterprise image.
Drawings
FIG. 1 is a network topology diagram of a smoke emission recognition system of the machine vision technology of the present invention;
fig. 2 is a block diagram of a smoke emission recognition system of the machine vision technology of the invention.
Detailed Description
In order to make the objects, technical solutions, advantages and significant progress of the embodiments of the present invention clearer and more obvious, the technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the drawings provided in the embodiments of the present invention, it is obvious that all the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the protection scope of the present invention.
It should be noted that:
the terms "first," "second," and "third" (if any), etc. in the description and claims of the present invention and the accompanying drawings of embodiments of the present invention are used for distinguishing between different objects and not for describing a particular order;
furthermore, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to the listed steps or elements, but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It is to be understood that:
in the description of the embodiments of the present invention, the terms "upper", "lower", "top", "bottom", and other indicative orientations or positions are only used for describing the orientations or positional relationships based on the embodiments of the present invention and are used for convenience in describing the embodiments of the present invention and simplifying the description, but do not indicate or imply that the devices or elements described must have a specific orientation, a specific orientation configuration and operation, and therefore, the present invention should not be construed as being limited thereto.
In the present invention, unless otherwise specifically stated or limited, the terms "mounted," "connected," "fixed," and the like are to be understood broadly, and for example, may be fixedly connected, detachably connected, movably connected, or integrated; the term "a" or "an" refers to a compound that can be directly connected or indirectly connected through an intermediate, and can be used in combination with or without other elements, unless otherwise specifically limited, and the specific meaning of the term in the present invention can be understood by those skilled in the art according to specific situations.
It should also be noted that:
the following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.
The technical means of the present invention will be described in detail below with specific examples.
Example 1
See fig. 1 and 2
A machine vision based smoke emission identification system comprising:
a control terminal having:
the user operation display module sends the data to the central server for corresponding acquisition identification, identification data display and the like;
a monitoring device having:
and the smoke emission acquisition module receives the appointed acquisition smoke image and sends the appointed acquisition smoke image to the central server.
A hub server having:
and the smoke recognition module receives the collected information, detects the specific smoke discharge condition according to the collected information graph detection algorithm, and sends the detection condition to the terminal equipment.
Specifically, the control terminal comprises a knowledge base for smoke detection and emission indexes; the control terminal comprises an inquiry module for inquiring the smoke emission detection record; the control terminal, the center server and the monitoring equipment are connected through a network; the central server comprises a smoke detection model training library and a detection algorithm.
An operation and use method of a smoke emission recognition system based on a machine vision technology comprises the following steps:
s101, collecting a real-time smoke exhaust image by monitoring equipment and sending the real-time smoke exhaust image to a central server;
and S102, the central server receives the smoke-discharging image, performs image recognition, sends the recognized result to the control terminal, and controls whether to alarm or not according to the returned result.
In step S102, the hub server includes the steps of:
k101, after receiving image information sent by the monitoring equipment, the center server inquires a smoke discharge characteristic knowledge base of the center server according to smoke discharge characteristics to judge whether organized smoke discharge or unorganized smoke discharge belongs to, and feeds back a judgment result to the control terminal;
further comprising: color and smoke quantity of smoke
The embodiment relates to a smoke emission recognition system based on a machine vision technology.
And the smoke exhaust image acquisition module is used for detecting and acquiring smoke exhaust pictures in real time and sending the smoke exhaust pictures to the center server.
The receiving image collecting module is used for receiving the collected image information by the central server.
And after receiving the image information, carrying out image analysis through a pattern recognition algorithm so as to judge whether the smoke discharge condition meets the standard.
The central server sends the identification information to the control terminal after detecting, and the control terminal judges whether to alarm and display after receiving the identification information.
The system is implemented and deployed on a continuous annealing unit of a certain iron and steel enterprise in China, and the direct or indirect influence on the iron and steel enterprise from the implementation completion of the invention to the use comprises the following steps: (1) the manpower input is small, and the management and control are easy; (2) there is little unorganized emissions; (3) the social influence is good, and the complaint phenomenon caused by exhaust is avoided; (4) The enterprise production smoke discharge record information is clear, and the query is convenient.
During the description of the above description:
the description of the terms "present embodiment," like "\8230; \8230"; "shown," "further improved technical sub-scheme," etc., means 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 present invention, and exemplary expressions of the terms in this specification are not necessarily directed to the same embodiment or example, and that the particular feature, structure, material, or characteristic described may be combined or coupled in any suitable manner in any one or more embodiments or examples;
furthermore, those of ordinary skill in the art may combine or combine features of different embodiments or examples and features of different embodiments or examples described in this specification without undue conflict.
Finally, it should be noted that:
although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made on the technical solutions described in the foregoing embodiments, or some or all of the technical features of the embodiments can be equivalently replaced, and the corresponding technical solutions do not depart from the technical solutions of the embodiments of the present invention.
Claims (7)
1. The utility model provides a fume emission identification system based on machine vision technique which characterized in that: the method comprises the following steps:
a control terminal having:
the user operation display module sends the data to the central server for corresponding acquisition identification, identification data display and the like;
a monitoring device having:
and the smoke emission acquisition module is used for receiving the appointed acquired smoke image and sending the smoke image to the central server.
A hub server having:
and the smoke recognition module receives the collected information, detects the specific smoke discharge condition according to the collected information graph detection algorithm, and sends the detection condition to the terminal equipment.
2. The machine vision technology-based smoke emission identification system of claim 1, wherein: the control terminal comprises a knowledge base for smoke detection and emission indexes.
3. The machine vision technology-based smoke emission identification system of claim 1, wherein: the control terminal comprises an inquiry module used for inquiring the smoke emission detection record.
4. The machine vision technology-based smoke emission identification system of claim 1, wherein: the control terminal, the center server and the monitoring equipment are connected through a network.
5. The machine-vision-technology-based smoke emission identification system as claimed in claim 1, wherein: the central server comprises a smoke detection model training library and a detection algorithm.
6. An operation and use method of a smoke emission recognition system based on a machine vision technology is characterized in that: the method comprises the following steps:
s101, collecting a real-time smoke exhaust image by monitoring equipment and sending the real-time smoke exhaust image to a central server;
s102, the central control server receives the smoke exhaust image, performs image recognition, sends the recognized result to the control terminal, and controls whether to alarm or not according to the returned result;
in step S102, the hub server includes the steps of:
k101, after receiving the image information sent by the monitoring equipment, the center server queries a smoke discharge characteristic knowledge base of the center server according to smoke discharge characteristics to judge whether the center server belongs to organized smoke discharge or unorganized smoke discharge, and feeds back the judgment result to the control terminal.
7. The operational use method of a machine vision based smoke emission identification system as claimed in claim 6 further comprising smoke colour, smoke volume.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211342526.9A CN115656172A (en) | 2022-10-31 | 2022-10-31 | Smoke emission recognition system based on machine vision technology |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211342526.9A CN115656172A (en) | 2022-10-31 | 2022-10-31 | Smoke emission recognition system based on machine vision technology |
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| CN115656172A true CN115656172A (en) | 2023-01-31 |
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| CN202211342526.9A Pending CN115656172A (en) | 2022-10-31 | 2022-10-31 | Smoke emission recognition system based on machine vision technology |
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