Research on the global IoT intelligent monitoring system for air compressor equipment
Preface
Intelligent manufacturing unit is a stage that must be passed in the process of industrial modernization. Industrial developed countries such as Germany's Industry 2.0 have greatly inspired the process of intelligent transformation of my country's manufacturing industry. my country's manufacturing industry is dominated by intelligent manufacturing during this transformation, and the intelligent operation of equipment as a manufacturing unit is the first unit in this transformation. The perfect operation of equipment is the primary condition for intelligent manufacturing. Then the equipment needs a complete monitoring system to function well. The equipment global IoT intelligent monitoring system is a complete set of upgrading and transformation of industrial field instruments and equipment, including intelligent monitoring platforms, equipment monitoring terminals, electromechanical monitoring terminals and environmental monitoring platforms. The configuration plan can be dynamically adjusted according to user needs to achieve intelligent equipment monitoring, Intelligent statistics, intelligent operation and maintenance, and hidden danger investigation meet the needs of users for real-time monitoring of the use of instruments and equipment, the operation of electromechanical equipment, the industrial environment and the safety of equipment.
Air compressor equipment belongs to the supply equipment of compressed air power energy. Its unitary and irreplaceable role cannot be ignored. Compressed air is used as power consumption, and its equipment's good operation and economic energy saving are the blood vessels in the manufacturing unit. There is no flow and intelligence. Manufacturing is nonsense. In order to understand the global IoT intelligent monitoring system in detail, the author takes air compressor equipment as an example to break it down.
1. Project example This is a set of water-cooled twin-screw air compressor unit and post-processing equipment (freeze dryer, adsorption drying tower), air storage tank equipment, and auxiliary cooling system (circulating cooling water pump, cooling tower), And the air supply network system. The monitoring project points of the equipment global IoT intelligent monitoring system are shown in Table 1
2. Optimize and improve the air compressor as a single device, usually it has a complete set of automatic control system, such as automatic loading and unloading, high temperature alarm of lubricating oil circuit, cooling circulation unit, circuit automatic control, air suction filter device, these According to the safety protection devices of different manufacturers of air compressors, the IoT intelligent monitoring system just calls the data and uploads it to the IoT system, as shown in Figure 1.
2.2 As a single device, the refrigerated dryer usually has its own complete set of automatic control systems, such as automatic drainage time, drainage time, high and low pressure values of refrigerant in the refrigeration system, start and stop status of the refrigeration compressor, refrigerant state of the refrigeration system, and circuit Automatic control and gas pipeline pressure are completed according to the safety protection devices of different manufacturers of air compressors. The IoT intelligent monitoring system just calls the data and uploads it to the IoT system, as shown in Figure 2.
2.3 The adsorption dryer, as its single equipment, usually has its own complete set of automatic control systems, such as automatic drainage time, drainage time, automatic switching of the four sets of electromagnetic valves for regeneration and drying of the A/B tower, and the pressure of the gas pipeline. The molecular sieve regenerates electric heating during the drying process of the A/B tower, and the temperature inside the tower during the drying process. These are completed according to the safety protection devices of different manufacturers of the adsorption and drying tower. The intelligent monitoring system of the Internet of Things just calls the data and uploads it to the Internet of Things system, as shown in Figure 3. 2.4 Various monitoring points in other gas circuits, such as the failure control of each filter in the gas pipeline, are monitored by the pressure difference sensor before and after the filter, the quality of the compressed air in the gas pipeline, such as the oil content, is monitored by the oil content sensor, gas The flow in the pipeline is monitored by a flow sensor, the pressure in the gas pipeline is monitored by a pressure sensor, the water content in the gas pipeline is monitored by the dew point temperature, and the dust content in the gas pipeline is monitored by a dust particle counter. Gas pipeline monitoring at each user point: gas pipeline supply pressure, electromagnetic valve closing/opening in the gas pipeline, gas consumption per unit such as flow monitoring. 2.5 Monitoring of auxiliary equipment (Figure 4):
2.5.1 Turn on/off the circulating water pump, the current in the circulating water pump operation, the operating status of the circulating water pump and the alarm, the inlet and outlet water pressure of the circulating water pump;
2.5.2 Circulating water tank water level high and low alarm, water shortage alarm, automatic start and stop of water supply pump and water pressure status, start and stop status of solenoid valve of water supply system.
2.5.3 Turning on/off the cooling tower, the current during the operation of the cooling tower fan, the operating status and alarm of the cooling tower fan, and the water pressure of the cooling circulating water; the high or low cooling water level alarm, the cooling tower water shortage alarm, and the automatic start and stop of the make-up pump And the state of water pressure.
2.5.4 Monitoring the quality of circulating cooling water to keep the pH of the cooling water between 6.8 and 7.4. The circulating water should also be filtered and softened as necessary to remove impurities to avoid corrosion to the circulating pipeline.
2.5.5 Emergency replenishment of circulating water, automatic switching of tap water pressure, water temperature, and tap water emergency valve.
The above part is that after the installation of the system, the air compressor equipment will operate normally for 356 days and 24 hours, without any interference and influence, to achieve unattended use. At the same time, we deliberately add some backup and redundancy facilities, also to increase the later backup Insurance factor.
3 Conclusion
The above is the efficiency improvement plan of the global IoT intelligent monitoring system for air compressor equipment. In many old air compressor stations, there is no intelligent monitoring system, and they still rely on the old manpower on duty, the patrol and on-duty records of the operators, the responsibility and skills of the operators to maintain the operation of the equipment, which is obviously not enough. The development model of modern intelligent manufacturing unit. This program example can quickly and easily transform the old air compressor station, which is safe and reliable, improves equipment utilization, reduces labor costs, keeps compressed air within the normal range, improves work efficiency, reduces the number of equipment shutdowns, and improves The service life of the air compressor equipment of the intelligent manufacturing unit.
In today’s society, the Internet is inseparable from people’s daily life and work. Quickly grasping the information and data in the intelligent manufacturing unit is already an important method for all management levels. It is difficult to achieve the overall situation by relying on original site inspections and oral descriptions. To grasp and control the operation of the entire system with sexual information, it is necessary to rely on the terminal information collection of the Internet of Things, which can answer and deal with some faults in real time. With the advent of the era of cloud computing and big data, managers need to adjust their thinking in time to continuously increase the reliability, intelligence, and energy-saving management of each sub-system in their intelligent manufacturing unit. This will be the only way for the development of intelligent manufacturing. .

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