Programmable Temperature Meter Operation Of Vacuum Tube Furnace

The vacuum tube furnace has periodic operation. For laboratory, industrial and mining enterprises, scientific research units for elemental analysis and determination and general small steel parts quenching, annealing, tempering and electronic ceramics and other new materials for heating.
The complete supply range of vacuum tube furnace equipment includes temperature controller, thermocouple, compensation wire, etc. There are two kinds of temperature control: relay control and thyristor control. Because it is a batch operation furnace, it generally adopts 30-segment PlD programmable control, which can strictly control the firing process of products.
Programmable temperature meter operation of vacuum tube furnace:
(1) A variety of working methods
Intelligent temperature controller with READY (READY), RUN (RUN), HOLD (HOLD), TEST (TEST), END (END), PV start, automatic (AUTO), MANUAL (MANUAL) and other working methods to meet the needs of temperature process control.
(2) Multiple alarm Settings
Intelligent temperature control supports a variety of alarm forms, such as temperature upper and lower limit alarm, temperature deviation alarm, absolute temperature alarm, etc., whether the alarm is effective, under what conditions the alarm can be completed by parameter setting.
(3) Powerful program functions
The number of supporting process curves, the number of segments of each process curve, the setting range of parameters, the links and loops of curves, and the number of various events reflect the program processing capability of the controller. For example, DCP31 intelligent temperature controller, the number of process curves 19, each process curve 30 segments, the time setting range from 0 to 99 hours 59 minutes, the link of the curve 0 to 19, the number of program cycles 0 to 9999, vacuum box furnace there are 8 kinds of operations and time events to choose from when programming.
(4) Intelligent control method
Intelligent temperature control methods include adaptive control algorithm, intelligent PID algorithm and parameter self-tuning method. The adaptive control algorithm can build a mathematical model according to the characteristics of the control object and determine the size of the control quantity through a series of optimization operations. The intelligent PID algorithm is based on the compiled PID algorithm, and some new rules are added to make PID adjust to the change of process variables, so as to achieve better control effect. The controller can not only complete the self-tuning of PID parameters, but also call different PID parameter groups according to the given conditions during the program running.
(5) Modular structure
The modular structure of hardware and software is a major feature of intelligent temperature controller. According to the different requirements of users, different combinations of modules are used to complete specific control functions. In the selection, the main consideration is the input module related to the input signal, the output module related to the output control, the communication module related to the data communication and the control module related to the control.
(6) Strong process display function
The intelligent temperature controller uses LED or LCD display to support measurement value (PV), set value (SP), program number, segment number, process curve, working status and working information display. These display information can basically meet the requirements of temperature process control, so that the operator can observe the working state of the controller at a glance, and understand the change of process control variables.
(7) Parameterized Settings
Simple and convenient parametric Settings make the application of intelligent temperature controllers more flexible, powerful control capabilities and process adaptability are accomplished through parameter Settings. The parameters can be divided into four categories: functional parameters, sensor parameters, control parameters and process parameters. The function parameter determines the hardware and software composition and structure of the controller, the sensor parameter is related to the input signal, the control parameter is related to the process variable control, and the process parameter depends on the field process requirements.