Furnace Detection and Automatic Control System of Coking Production Detection and Automatic Control
Abstract
This paper introduces the furnace detection and automatic control system of coking production detection and automatic control. The system is composed of three parts. The first part is the sensing device which is responsible for detecting temperatures of furnace and production process. The second part is the central data processing unit which process information collected by the sensing device and transmit instructions to the third part, the end action mechanism. The end action mechanism includes fans, pipelines, valves and other necessary control devices, which subsequently regulate air flow, temperature and other parameters of the furnace and production process. The system can detect and control temperature of furnace and production process with high accuracy, ensuring the output quality of the coking production.
1 Introduction
Coking production, a special production with high risk and complexity, is widely used in producing various of carbon materials, such as graphite and coal tar. Temperature is an important factor for successful production for coking process, thus it is necessary to build a reliable automatic control system for the furnace. The controlled object of the system is not onlyTemperature, but also parameters related to the Temperature. Furthermore, the system requires high accuracy of feedback control and must be able to work in a long time with little failure.
2 System Design
2.1 Overview
The system consists of three parts: sensing device, central data processor and end action mechanism. The sensing device is connected to the central data processor through the serial port and is responsible for sensing temperature of furnace and production process. The end action mechanism includes fans, pipelines, valves and other monitoring control devices, which regulate air flow, temperature and other parameters of the furnace and production process.
2.2 Sensing Device
In order to ensure accurate performance of the system, the sensing device should adopt high-precision measurement technology. In this article, thermocouples and other temperature sensors are used to measure the temperature. The thermocouples are connected to the data processor through an A/D converter, which converts the analog signals generated by the thermocouples into digital signals.
2.3 Central Data Processor
The central data processor is responsible for data processing, control algorithm design and feedback control. It implements communication interface between the sensing device and the end action mechanism, which enables it to receive information from the sensing device and transmit instructions to the end action mechanism for control.
2.4 End Action Mechanism
The end action mechanism consists of control components such as fans, pipelines, valves and so on. The fans and pipelines regulate the flow of air inside the furnace to adjust the temperature which cannot be achieved by the thermocouples. Meanwhile, the valves can be separately controlled to adjust the air flow in order to control the air pressure in the furnace and the temperature of each region in the furnace.
3 Control Algorithm Design
3.1 On/off Control
On/off control is a type of discontinuous control, which is easy to implement but has poor accuracy. In this control algorithm, the sensor sets the switching threshold of a control signal and turn off the signal above the threshold. This can solve the problem of running away or dead lock.
3.2 PID Control
PID control is a type of continuous regulation, which has high accuracy and is widely used in controllable objects with large inertia and time delay. In this control algorithm, the controller compares the actual and desired value of the controlled plant and adjusts the output signal according to the difference in order to make the actual value close to the desired value.
4 Simulation and Conclusion
In this paper, a practical automatic control system for coking production has been developed. The system adopts thermocouples as the sensing device, central data processor as the controller and end action mechanism as the actuator. The control algorithm is based on the PID control algorithm. Simulation results show that the system can accurately detect and adjust the temperature and parameters of the coking production process, ensure the quality of the output product and greatly improve the production efficiency.
