Weak current intensive pipe network intelligent fluid transportation monitoring system and method thereof

Abstract

The invention relates to a weak current intensive pipe network intelligent fluid transportation monitoring system and a method, and the system comprises a bearing rack, monitors, aon-site data collection terminal, an intelligent communication gateway, and a remote monitoring terminal. The bearing rack is of a cylindrical frame structure, and the monitors are embedded in the bearing rack and are uniformly distributed in the axis direction of the bearing rack; the monitors are in data connection with the on-site data collection terminal through the intelligent communication gateway, the intelligent communication gateway and the remote monitoring terminal are both communicated with an external power supply system through wires, and the intelligent communication gateway is in data connection with the remote monitoring terminal. The operation method comprises two steps of monitoring network arrangement, pipe network supervision operation and the like. On one hand, the structure of the monitoring system is effectively simplified, and the environmental adaptability and use flexibility of the monitoring system are improved; on the other hand, the intelligent degree is high, the working efficiency and precision of pipe network system control operation can be effectively improved, and the labor intensity and operation cost of pipe network monitoring operation are effectively reduced.

Description

technical field [0001] The invention relates to a smart fluid transportation monitoring system and a method for a weak current intensive pipe network, and belongs to the field of material transportation technology and information communication technology. Background technique [0002] At present, in the operation of conveying gas, liquid and solid fluid materials, it is often necessary to carry out long-distance, multiple conveying directions or precise metering and conveying operations through the pipe network system, such as water supply pipe network systems, gas supply pipe network systems, etc., in order to meet the requirements of The precise control of the operation of the pipe network system is currently mainly to monitor the operating status of the pipe network conveying medium by distributing flow sensors, pressure sensors and other detection equipment in the pipe network system, and then to control the power mechanism of the pipe network system as a whole. It can m...

AI Technical Summary

Problems solved by technology

[0002] At present, in the operation of conveying gas, liquid and solid fluid materials, it is often necessary to carry out long-distance, multiple conveying directions or precise metering and conveying operations through the pipe network system, such as water supply pipe network systems, gas supply pipe network systems, etc., in order to meet the requirements of The precise control of the operation of the pipe network system is currently mainly to monitor the operating status of the pipe network conveying medium by distributing flow sensors, pressure sensors and other detection equipment in the pipe network system, and then to control the power mechanism of the pipe network system as a whole. It can meet the needs of control operations to a certain extent, but on the one hand, it leads to complex structure of the pipeline network monitoring system, difficulty in installation and maintenance operations, and relatively high labor intensity and cost. At the same time, it also has poor versatility and can only meet specific medium transportation operations. Therefore, the flexibility and generality of use are relatively poor; on the other hand, during the operation of the traditional pipeline network monitoring system, it can only meet the needs of monitoring the operation status of the pipeline network, and the monitoring ability of the pipeline network is low. The comprehensiveness of the data is poor, and the monitoring process does not have the ability to precisely control the transmission status and parameters of the pipeline network media

Images