Environmental health detection method based on deep learning
An environmental sanitation and deep learning technology, applied in the field of environmental sanitation detection based on deep learning, can solve problems such as excessive discharge, high manpower and material resources consumption, environmental pollution, etc., and achieve the effect of improving sustainability and saving manpower and material resources
Pending Publication Date: 2022-07-15
慧之安信息技术股份有限公司
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Problems solved by technology
Although the environmental management department has formulated corresponding standards for the discharge of sewage and waste gas from industrial production, in actual industrial production, industrial production enterprises will have excessive discharge or illegal discharge, thereby polluting the environment
The existing technology conducts regular monitoring of industrial parks through manual monitoring. This method not only requires a lot of manpower and material resources for environmental sanitation testing, but also cannot carry out continuous, comprehensive and accurate environmental pollution testing of industrial parks.
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[0032] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0033] see figure 1 , is a schematic flowchart of the deep learning-based environmental sanitation detection method provided by the embodiment of the present invention. The deep learning-based environmental sanitation detection method includes the following steps:
[0034] Step S1, instructing the sensing equipment arranged in the industrial park to obtain the detection information of the designated area; preprocessing the detection...
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The invention provides an environmental health detection method based on deep learning, and the method comprises the steps: indicating sensing equipment to obtain the detection information of a designated region of an industrial park, extracting the environmental parameter change condition of the designated region from the detection information, and judging whether the designated region is in an environmental health qualified state or not; according to the judgment result of the environmental health qualified state, the sensing equipment is indicated to adjust the collection state of detection information or upload a corresponding detection information packet to the management platform terminal, and the working state of production equipment in a designated area is adjusted, all-weather information collection is carried out on the industrial park through the sensing equipment, and the information collection efficiency is improved. In this way, whether the situation of excessive discharge or secret discharge exists in different areas of the industrial park can be determined in real time, manpower and material resources for environmental health detection of the industrial park are saved, and the continuity, comprehensiveness and reliability of environmental health detection are improved.
Description
technical field [0001] The invention relates to the technical field of public environment management, in particular to an environmental sanitation detection method based on deep learning. Background technique [0002] There are usually different industrial production enterprises in different areas in the industrial park, and these industrial production enterprises will inevitably discharge sewage and waste gas in the production process. Although the environmental management department has formulated corresponding standards for the discharge of sewage and exhaust gas from industrial production, in actual industrial production, industrial production enterprises will have excessive discharge or stealth discharge, which will pollute the environment. The existing technology regularly monitors the industrial park by means of manual monitoring, which not only requires a large amount of manpower and material resources to conduct environmental sanitation testing, but also cannot cond...
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Login to View More IPC IPC(8): G01N21/94G01N33/00
CPCG01N21/94G01N33/0062
Inventor 余丹兰雨晴乔孟阳王丹星邢智涣
Owner 慧之安信息技术股份有限公司