Two-network balance detection system based on sensor fusion

Abstract

The invention discloses a two-network balance detection system based on sensor fusion, and the system comprises an information collection control layer which is directly in remote communication with an intelligent gateway through MODBUS communication, and obtains flow, pressure and temperature parameters. Various operation states, operation parameters and standby battery electric quantity information are transmitted to a server with a specified IP address through an Internet of Things access technology, and the server deploys a cloud processing system in a unified manner and is used for receiving data and safely processing information. The water return temperature of a user is uploaded to a control center through an internet-of-things hydraulic balance valve, and the heat supply temperature among all systems, all units and all loops is accurately adjusted; the method has an automatic adjusting function, and by taking the calculated current theoretical balance temperature value as the target temperature, the whole network can quickly reach the target value, the network adjusting speed is higher, the balance of the secondary network can be accurately controlled, the power consumption of the heat exchange station is saved, and the phenomena that the front end is overheated and the tail end is not hot are eliminated.

Description

Technical field [0001] The invention belongs to the field of two -network balance testing. More specifically, it involves a two -network balance detection system based on sensor fusion. Background technique [0002] At present, there are the following problems in the application of thermal tube network; [0003] (1) Monitoring methods and data are single: All monitoring methods planned only at the initial planned fields such as heat sources and heat exchange stations, and the pipe network lacks effective monitoring methods. The various data during the production of thermal source did not reach complete informatization, and did not capture important data such as the heat source point for the return temperature, pressure, flow, heat, and water replenishment flow in real time. Essence For a variety of data running the network, water supply flow, pressure, temperature, water return flow, pressure, and temperature cannot be effectively collected. The secondary water supply temperature...

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Problems solved by technology

[0004] (2) The heat supply of the pipe network is unbalanced: the temperature difference between the near-end user of the heat source and the far-end user of the heat source is too large; the temperature difference between the high-rise room and the ground-floor room is too large, etc.

[0005] (3) The data collection method is backward: the temperature, pressure, flow and other real-time operating conditions of each hot user site cannot be monitored in real time. It is found that the definite failure time cannot be determined, resulting in a lag in maintenance and management;

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