From 2016 to 2017, in response to the national energy conservation and environmental protection policy and to build a green campus, Northwest A&F University completely dismantled coal-fired and gas-fired boilers, connected heating to the municipal centralized heating system, built and put into operation 14 heat exchange stations, and installed 23 sets of plate heat exchanger units, with a total heating power of 120.53MW. To address the issues of high energy consumption, unbalanced heating, and backward and monotonous control and operation and maintenance, since 2018, Northwest A&F University has upgraded the automatic control system of heat exchange stations, improved data upload and control functions, carried out information-based renovations of heat entrances in buildings, established an intelligent heating supervision platform, and built a centralized heating monitoring center to achieve time-of-use and zoned heating and intelligent balance measurement and control of pipelines. During the heating season of 2019, Northwest A&F University remotely transmitted real-time data through the Shanghai Kent heat and cold meter, and adjusted the opening and closing degree of the heating valve in a timely manner in combination with the temperature and the actual needs of energy-consuming buildings, achieving a reduction of 2.76 million yuan in energy-saving expenses, with significant benefits.

Under the background of comprehensively building a water-saving university, Tsinghua University has made enhancing the data value and management value within the region a key task. Considering the demands for metering performance, sensitivity, and DMA functions comprehensively, it has chosen the Shanghai Kent electromagnetic water meter. In response to the demand of Tsinghua University for the management and control of the leakage rate of the campus pipeline network, Shanghai Kent actively participated in the development of the campus hierarchical management algorithm of Tsinghua University and innovatively applied edge computing technology for the first time through the meter end to the field of leakage control analysis and evaluation of the water supply pipeline network. Through decision analysis of edge-side data and in combination with the analysis results of the platform model, the timeliness and accuracy of regional pipeline leakage and water loss assessment have been significantly improved, achieving a transformation from passive leakage repair to active leakage control. It enables real-time monitoring of water usage, leakage, and water conservation dynamics, realizing intelligent and refined water usage. Its management experience is worth learning from.