Green manufacturing is an important part of the construction of ecological civilization. Industrialization has created tremendous wealth for the society, improved the people's material living standards, and also consumed a lot of resources, brought tremendous pressure to the ecological environment, and affected the healthy development of the country's overall industry. As a large manufacturing country, my country has not yet shaken off the development mode of high investment, high consumption and high emission. Water consumption and sewage discharge still have a large gap with the international advanced level. For this reason, many enterprises are accelerating the transformation of economic development mode and promoting industrial informatization. Transformation.
At this stage, sewage treatment has the following problems:
1. The supporting sewage collection system is imperfect, the incoming sewage is insufficient, and the pollutant concentration in the sewage is too low to reach the designed influent concentration;
2. Shortage of management talents. Although our country has a large population, there is a shortage of talents with professional skills and mature experience;
3. The sewage system is unstable and the operating cost is high. Operating cost is an important factor in the normal operation of sewage treatment plants.
In compliance with the energy-saving and emission-reduction policies promulgated by the state, Smart IoT has optimized the energy structure and promoted the transformation and upgrading of traditional products by creating a sewage treatment Internet of Things solution and combining the individual requirements of the enterprise.
How does the Industrial Internet of Things save energy and reduce emissions for enterprises?
1. Enterprises can use the Internet of Things system to connect production links and sewage treatment equipment to read all detailed information, including power consumption, number of microorganisms, pollution index, purifier usage, control processing time ratio, pollutant removal rate and other data to be transmitted to Cloud platform storage;
2. Under the premise of these big data, use the cloud platform to monitor, compare, and analyze the best treatment efficiency and treatment process of the equipment, so that the staff can have a basis and feasible for the equipment operation, reduce the test and research, and the enterprise can also supervise and assess the sewage treatment. Improve the supervision system.
3. The resource data mastered is displayed in the FIDIS application system and displayed on the PC, mobile, APP, and large screens. Through the digital management platform, enterprises can not only achieve energy saving and emission reduction, increase production efficiency, but also rationalize and reduce operating costs.
Ordinary sewage treatment methods have been difficult to meet the environmental protection requirements at this stage. Scholars at home and abroad have done a lot of research on sewage and wastewater treatment processes, and have been looking for processes with good treatment effects and low costs. Traditional precipitation techniques are simple and easy to implement. , But only applicable to general sewage treatment processes without specific water quality requirements. The market space application in the field of urban sewage treatment and industrial sewage treatment is gradually expanding, and the future market prospects are good. For this reason, many enterprise sewage treatment plants have introduced industrial Internet of Things systems with existing resources and processes to reduce production costs and expand Market prices and improve corporate competitiveness.
In terms of technology, technical substitution in the sewage treatment industry in practical applications requires comprehensive consideration of various factors such as the type of sewage treatment, the demand for treatment compliance, and the financial strength of the enterprise. Therefore, the technical substitutability is different from the actual application. The development of sewage treatment technology in the future needs to rely on the big data of the Internet of Things to provide data recording, query, statistics, and analysis, so as to achieve the improvement of the treatment process, rather than the comprehensive replacement of its technology.