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With the development of the new energy industry and the demand for energy saving and emission reduction, the use of natural gas has become a major direction of future energy. Natural gas is the main equipment of natural gas applications, and its application also has grown sharply. Due to the wide variety of natural gas compressors, the structure and function is complex, and the troubleshooting and maintenance is also complex. At present, it is mainly used for manual regular maintenance, and the on-site testing method is launched after the CNG compressor. Due to its extensive distribution, there are many quantities, the method of investigating the fault afterwards, the time is expensive, the maintenance cost is high; and afterwards troubleshoot Larger hysteresis, inconvenience to users, causing certain economic losses. The operating state, working condition parameters, timely correction of the real-time natural gas compressor, can avoid unnecessary losses; according to the operation record of the compressor, it is estimated that its fault will reduce maintenance; record the operation data and the alarm information, convenient Analysis of the fault can improve the efficiency of equipment fault diagnosis and maintenance. Therefore, it is of great significance to study the natural gas compressor monitoring system. In recent years, wireless sensing, the development and application of Internet of Things technology have become hot, and this paper connects distributed compressors to the Internet, research and realize the Internet of Things monitoring system for natural gas compressors, for natural gas compressors Online detection, safe operation, intelligent fault diagnosis provides a reliable technical guarantee.

1 system network architectureThe CNG Compressor Internet of Things Monitoring System The network framework is shown in Figure 1. The system consists of four major networks, mobile NET, Internet, and Internet.

Multiple CNG compressor constitutes a device monitoring network, and each device monitoring network performs real-time monitoring of compressors in the network through its main monitoring, managing and controlling data information such as real-time operating conditions, status parameters of each compressor. The device surveillance host on the spot is connected to the mobile NET in a wireless manner and links to the NENRNET through the physical link of the NET. For a single compressor distributed in the field, the Internet is directly connected to the Internet. After establishing a link, each device monitoring network (or compressor device) has a unique IP address on the NENTERNET. Remote monitoring According to the IP address, data exchange and control of remote compressors are implemented via the VPN LAN with the Internet to implement data access and control of remote compressors.

Figure 1 CNG Compressor Intranet System Network Composition

The CNG Compressor Internet of Things Monitoring system is divided from the data and information processing angle, which can be divided into device monitoring layers, data transport layers, storage analysis layers, and 4 hierarchies and management layers. Each level uses a corresponding different system to form a complete comprehensive network. As shown in FIG. 2, each field compressor is connected to the device monitoring network through the fieldbus (485 bus, bus, etc.), which is a device monitoring layer, responsible for the monitoring of real-time operating conditions of compressors. The compressor’s monitoring host collects data in the network node in real time, and sends the collected data to the GPRS module. The data transfer layer consists of a GPRS module, an transmitting base station, a GPRS backbone, an Internet, a VPN LAN, which uses a TCP / IP protocol to transmit data. When the network is established, the GPRS module that actively connects to the device monitoring network via the remote monitoring network, or you can actively find the server of the monitor through the GPRS module. Since the GPRS module is typically assigned by the route automatically, the server usually has a fixed IP address, which uses GPRS to actively find the monitoring computer server. Connection. After the GPRS module is powered on, you first look for its vicinity of the launch base station, which is registered on the GPRS backbone web, and then connected to the server of the VNP local area network corresponding to the IP address thereof via the Internet. After receiving the real-time data of the on-site compressor, the server of the remote monitoring end, stores the data, and runs the expert system to analyze and manage the data, the monitoring computer operator interface program in the local area network, for the server The database is displayed, queried, modified, and the control command is issued according to the results of the expert system and personal analysis, and the remote compressor is controlled.

2 Equipment surveillance layer networkSystem hardware consists of CNG compressors, controllers, fieldbus, monitoring hosts, GPRS modules, launch base stations, network links, servers, and monitoring computers. Since the network physical link already exists, the user only needs to establish a compressor’s device monitoring network and monitoring the local area network of the computer, and connects them to the Internet. After configuring the corresponding parameters, all the computers connected to the Internet can be used as a monitoring computer, and the remote compressor is exchanged, and the compressor is constructed. It can be seen that the establishment of the equipment monitoring network, the network of the equipment monitoring layer, the remote monitoring program prepared these three links as the key to the compressor Internet of Things monitoring system. There are more research and application in the establishment of equipment monitoring network, so don’t make details. The following main details of the networking network of the equipment monitoring network and the writing of the remote monitoring program.

Figure 2 Data transmission of CNG compressor material network nodes

As shown in FIG. 3, each compressor collects field data in real time: the voltage of the power supply, the state of the valve, the gas pressure, intake air temperature, alarm information, operation buttons, lubrication state, etc., etc. The host receives, organizes and stores the data collected by each compressor PLC. The data is then transferred to the GPRS module, and the GPRS module uses TCP / IP or UDP protocols to be sent to remote servers via Internet. Figure 3 Data transmission and reception of field equipment monitoring network

The program running in the monitoring host consists of three subroutines by networked communication, data transmission and reception, and monitoring. The networked communication subscriber is responsible for sending networked requests to GPRS, handshake with the remote host, and implements the Internet Mounting of the Device Monitoring Network. The data transceiver is responsible for receiving the monitoring data of the lower computer, stores and sends it to the GPRS module. When the remote control command comes from the GPRS terminal, the generator program receives the instruction and transmits the command signal to the CNG compressor. Control. Monitoring management word procedures, mainly responsible for managing lower machines, analyzing real-time data analysis, processing. Run three subroutines within the GPRS module: communication subscriber, communication protocol subroutines, and wireless transceivers. The communication subscriber is responsible for data exchange with the monitoring host; the communication protocol subroutine is responsible for packing the data from the monitoring host into TCP / IP or UDP protocol format, or converting packets from the network into fieldbus protocol formats to achieve; wireless The transmitting receiver is responsible for controlling the wireless transmission and receiving chip, transmitting the data signal in the way of electromagnetic waves, and converts the received electromagnetic wave into a data signal, and stores.