Integrated sewage treatment device based on deep learning
A sewage treatment device and deep learning technology, applied in electrochemical water/sewage treatment, water/sewage treatment, multi-stage water/sewage treatment, etc., can solve the problem of large labor, high energy consumption, and untargeted pollutants, etc. question
Pending Publication Date: 2022-05-17
周小凯
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Problems solved by technology
[0003] In view of the above-mentioned technical problems of many sewage treatment plants that are not targeted at pollutants, consume a lot of energy, and require a lot of labor, the present invention provides a deep learning-based integrated Chemical sewage treatment device
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[0044] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only part of the embodiments of the application, rather than All the embodiments, these descriptions are only to further illustrate the features and advantages of the present invention, rather than to limit the claims of the present invention; based on the embodiments in the application, those of ordinary skill in the art can obtain without making creative work All other embodiments of all belong to the protection scope of this application.
[0045] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended...
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The invention belongs to the technical field of sewage treatment devices, and particularly relates to an integrated sewage treatment device based on deep learning, which comprises a detection chamber, a kit, an electrode chamber, a symbiosis chamber and a filtering chamber, the kit is arranged in the detection chamber, the electrode chamber is communicated with the symbiosis chamber, the detection chamber is connected with the electrode chamber through a pipeline, and the filtering chamber is connected with the detection chamber through a pipeline. The symbiosis chamber is connected with the filter chamber through a pipeline, and the filter chamber is connected with the electrode chamber through a pipeline. Pollutants are divided into a large group and a small group according to treatment modes and multi-dimensional conditions of different pollutants, the optimal current density, pH concentration, H2O2 concentration and PMS concentration of the corresponding treatment group are found, and the concentration of the pollutants can be detected by adjusting the voltage of the traditional chemical electrode and the biochemical electrode through the kit and the variable power supply. The pollutants in each group in the sewage can be accurately and efficiently treated.
Description
technical field [0001] The invention belongs to the technical field of sewage treatment devices, and in particular relates to an integrated sewage treatment device based on deep learning. Background technique [0002] At present, many sewage treatment plants adopt a set of traditional treatment methods, which are not targeted at pollutants, occupy lifting capacity, shorten effective residence time, increase energy consumption, require a lot of hydraulic and electric energy, and form a vicious circle. When some pollutants are too high to be treated at one time, the existing sewage treatment method is to continue to cycle through a certain stage of treatment, and the entire process will consume additional electrical energy and chemical feeding. Moreover, the current sewage treatment plant still requires a large amount of manual participation, resulting in the lack of technical personnel, which reduces the efficiency of sewage treatment and cannot be repaired in time. Content...
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Login to View More IPC IPC(8): C02F9/14C02F101/20C02F101/30C02F101/16G06F30/27
CPCC02F9/00G06F30/27C02F1/001C02F1/441C02F1/442C02F1/46C02F3/005C02F3/322C02F3/327G06F2119/02C02F2101/30C02F2101/20C02F1/66C02F2209/06
Inventor 周小凯霍承昕张开元张昊姜怡杰石鼎邓迎李佳益陈悦琳李嘉宾
Owner 周小凯