Abstract: AI intelligent regulator realizes precise control of electric furnace temperature and detection of temperature, pressure, flow, displacement, weight loss, etc. Combined with industrial computer, it forms a distributed control system, which is applied to the metallurgical performance measurement and control system. The system has the advantages of reliable operation, strong anti-interference ability and high control precision.
Keywords: AI intelligent regulator, distributed control, temperature regulationIntroduction: The blast furnace smelting system is a complex control system, and it is expensive to dissect it. The system simulates the blast furnace smelting process to detect the changes of temperature, pressure, flow, displacement, weightlessness and other parameters during the smelting process. It establishes a large-scale laboratory for metallurgical performance measurement and control system, and provides guidance for the blast furnace smelting process based on experimental results. The system adopts a distributed control structure. The site is controlled by Xiamen Yudian's AI intelligent instruments to achieve precise temperature control. The PLC is used to implement process control of process switching, part of the analog quantity, and timing counting. The industrial control computer implements centralized management. AI intelligent instrument advanced AIBUS + communication protocol, supports RS485 communication interface, cooperates with EM-485B module to form the computer communication system of the system, realizes centralized monitoring of 19 channels of temperature, flow, pressure and displacement through RS-485 serial communication.
1. The hardware composition of the control systemThe control objects of the entire system are mainly 11 large-scale electric furnaces and their auxiliary facilities and gas processing and detection parts. In addition to accurate detection and control of temperature, the load softening displacement, material weight, gas flow, gas pressure during the reaction of the material And the droplet count in the process of melt dripping needs to be detected. These parameters are mainly detected by the AI ​​smart instrument on the spot and passed into the bus as a digital quantity. The system structure is shown in Figure 1:
The system mainly implements precise temperature control. The AI ​​artificial intelligence instrument has a variety of adjustment methods such as ON-OFF, standard PID, AI artificial intelligence adjustment APID or MPT. For most electric furnaces, the standard PID control method can be used to meet The requirements of process conditions, users can set M5, P, t parameters can adjust the corresponding parameters to achieve user-defined adjustment. For special temperature control system, set CtrL to enter self-tuning adjustment. The advanced AI artificial intelligence adjustment algorithm has self-tuning and self-learning functions. It has excellent control characteristics without overshoot and undershoot. The control effect after self-tuning is basically all Meet the technological requirements.
1.2 Sectional power limitation
Most electric furnaces in the system are resistance furnaces, and a few high-temperature electric furnaces use silicon-molybdenum rods as heating materials, and need to use step-down transformers, which are nearly short-circuited at low temperatures, and the resistance is much lower than the high temperature state. Without power limitation, the current at low temperature will be much greater than the rated current. Set the CF parameter to enable the instrument to use the power segment limit. At this time, the lower output limit of the instrument will not be limited, and oPL will be used as the upper output limit when the temperature is less than the lower limit alarm value LoAL. When the temperature is greater than the lower limit alarm value, the output upper limit is oPH In this way, it has a two-stage power limit function, which effectively prevents the danger of excessive current at the initial stage of heating.
1.3 Commissioning of the control system
For some electric furnaces, in addition to the control and detection of the furnace temperature, the temperature of the furnace wall is monitored to calculate the temperature gradient distribution curve during the heating process of the electric furnace. Combined with its control, the pure hysteresis of the control object can be reduced, and a better control effect is brought. The display of the initial conditions for the temperature of the same electric furnace is inconsistent and can be corrected by Sc. During the commissioning process, the single-stage heating curve electric furnace first considers the self-tuning adjustment function of the AI ​​instrument. The parameters to be tuned are M5, P, t and other parameters. The characteristics of the heaters are basically the same. After the self-tuning, satisfactory results have been obtained. Control effect, the control accuracy at constant temperature is less than ± 1 ℃, and the maximum overshoot is less than 2 ℃. 2. The software structure and functions of the control system The system consists of a 2-layer structure. The upper computer is an industrial control machine, which realizes centralized control and data collection and processing. The lower computer is controlled by PLC and on-site AI intelligent instrument to realize digital and analog quantity control. The system has both manual and automatic control schemes, which can realize fast switching without disturbance. The main interface of the host computer control is shown in Figure 2 below:
2.1 Human-computer interaction function
The main monitoring interface of the system displays the current layout and online status of each virtual device. Real-time data is dynamically refreshed and displayed according to different manifestations such as detailed data and maximum value data. Real-time curves of various parameters (temperature, flow, etc.) are drawn, and each on-site switch Interface control of quantity, historical data query, EXCEL report generation, system alarm status and AI intelligent instrument parameter setting and other functions.
Various real-time data and historical data management, data storage and import into Excel.
2.3 User and system management
The system is divided into a system administrator, an operator and a security officer. Each role is restricted by different permissions; according to the needs of the actual system, the sampling frequency is set, the real-time refresh interval and alarm mode are managed. 3. Conclusion This system has been successfully put into use in Guangdong Shaoguan Iron and Steel Plant. The system is safe and reliable. The distributed control system composed of AI intelligent regulator, PLC and industrial control computer has the advantages of strong anti-interference ability and high control accuracy, which is greatly satisfied. Various control performance index requirements of process conditions.
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