The long-term development of intelligent water meters is a key to improving data collection capabilities
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Recently, the “Guidelines for the Construction and Application of Smart Water Information Systems†and “Technical Standards for Urban Water Supply Information System Engineering†of the Ministry of Housing and Urban-Rural Development were formally released, bringing new development concepts to the water industry.
With the shortage of water resources and intensified water pollution, the pressure for water supply security and high-quality services is increasing. Smart water services have become a focus of attention in the smart industry. However, due to the unclear concept of smart water services, lack of standards, technology, and confusion in the market, many domestic water utilities are at a loss as to how to implement appropriate smart applications. They often fall into one mistake after another: they spend a lot of money on the system, do platforms, and get effective results. There are those who have little; there are those who waste resources to repeat investment; there is a fancy face project that does not solve the fundamental problems.
How to avoid these problems? It is especially important to make high-precision data collection. At present, in the era of big data, data has become an important asset, even a core asset. In the process of production and operation of the water industry, mass data such as flow, pressure, water quality, and temperature are generated at every moment. Therefore, the ability to handle data assets professionally will become the core competitiveness of water companies. If there is a lack of big data analysis and processing, the “brains†of smart water services will be less developed and the “intelligence quotient†will not be high enough and their abilities will not be strong enough. Therefore, data collection is the most important issue that water companies need to solve.
In the process of data generation, technologies such as big data processing and mining models are relatively common, but it takes a little bit of accumulation to generate the basic data for integrating wisdom. Scientific and reliable data collection methods and real-time collection frequency will form high-density, high-precision, high-value water data and accumulate it quickly. This will lay a solid foundation for big data processing, data analysis and excavation. Smart water is the active water.
After data collection, how to analyze and handle it is also the focus of attention. According to Li Guojie, academician of the Chinese Academy of Engineering and director of the CCF big data expert committee, at present, the types of data, requests for timely response, and true and false data are the main difficulties of big data. The quality of collected data is one of the characteristics of big data. To improve the quality of raw data must be everyone's attention.
Based on this understanding, Li Guisheng, chairman of Zhiheng Science and Technology Co., Ltd., the “Guidelines for the Construction and Application of a Smart Water Information System†and “Technical Standards for Urban Water Supply Information System Engineering,†said: “The trade balance sheet for water charges is obviously already Can not meet the current development requirements of smart cities.To achieve the requirements of smart application scenarios, smart water meters need to strive to 1L-level, minute-level traffic data acquisition accuracy and particle fineness goals.And this requirement for the water industry technology, process The higher challenges are presented. Moreover, in the pursuit of high-tech performance, it is also necessary to effectively control costs and promote the widespread adoption of acquisition equipment."
Li Guisheng believes that at present, we must re-examine the development path of smart water meters, strengthen technical and technological research, enhance the ability to collect water meter data, create conditions for the accumulation of massive data bases, and provide a basis for the construction and implementation of smart water services.
"Enhanced smart meter flow data collection capabilities can not only bring a wealth of potential data assets to the water industry. In the future, it can also be further integrated with property management, distribution systems, and online financial systems, and play a role in building smart cities. The effect of estimation.†Li Guisheng stated that he may wish to take the new requirement of smart remote water meter flow data collection capacity as an entry point for promoting smart water infrastructure construction, and greatly increase the level of smart water application, and contribute to the construction of smart cities.
(Original title: High-precision data acquisition, need to re-examine the development route of smart water meter)