Intelligent Temperature Control System Based on Microcontroller Internet of Things

In industrial production, temperature and humidity are common main manipulated parameters, especially in heat treatment industry, the temperature control is becoming more and more important. This paper from two aspects that hardware and software introduced single-chip microcomputer (SCM) C8051F intelligent temperature and humidity control system, and described schematic diagram of hardware and software. The design adds the integration of carbon dioxide concentration and light intensity detection and necessary communication function. It is a more humanized and more practical intelligent temperature and humidity measurement and control system.

Microfluidic Lab on a Chip (LOC) devices are key enabling technologies for research and industry due to their compact size, which increases the number of integrated operations while decreasing reagent use. Common operations within these devices such as chemical and biological reactions, cell growth, or kinetic measurements often require temperature control. Commercial temperature controllers are constrained by cost, complexity, size, and especially versatility for use in a broad range of applications. Small companies and research groups need temperature control systems that are more accessible, which have a wide applicability. This work describes the fabrication and validation of an inexpensive, modular, compact, and user-friendly temperature control system that functions within a microscope. This system provides precise temperature acquisition and control during imaging of any arbitrary sample which complies with the size of a microscope slide. The system includes two parts. The first part is a compact and washable Device Holder that is fabricated from high-temperature resistant material and can fit securely inside a microscope stage. The second part is a robust Control Device that incorporates all the necessary components to program the temperature settings on the device and to output temperature data. The system can achieve heating and cooling times between 50 °C and 100 °C of 32 s and 101 s, respectively. A Bluetooth enabled smartphone application has been developed for real-time data visualization. The utility of the temperature control system was shown by monitoring rhodamine B fluorescence in a microfluidic device over a range of temperatures, and by performing a polymerase chain reaction (PCR) within a microscope. This temperature control system could potentially impact a broad scope of applications that require simultaneous imaging and temperature control.

With the Internet of Things (IoT) gradually evolving as the next phase of the Internet's evolution, it becomes important to recognize the various potential domains for IoT deployments, and research challenges especially those related to monitoring and control applications in industry. This paper shows how to program a simple On/Off temperature control system via IoT using Arduino and the iTCLab Kit. Meanwhile, for monitoring and controlling temperature via cellphone, the IoT MQTT Panel is used. The experimental results show that the control system has worked well. This is indicated by controlling and monitoring the results of temperature control via cell phone as expected.

Under the background of modern industrial processing and production, the sintering furnace’s temperature control system is researched to achieve intelligent smelting and reduce energy consumption. First, the specific application and implementation of edge computing in industrial processing and production are analyzed. The industrial processing and production intelligent equipment based on edge computing includes the equipment layer, the edge layer, and the cloud platform layer. This architecture improves the operating efficiency of the intelligent control system. Then, the sintering furnace in the metallurgical industry is taken as an example. The sintering furnace connects powder material particles at high temperatures; thus, the core temperature control system is investigated. Under the actual sintering furnace engineering design, the Distributed Control System (DCS) is used as the basis of sintering furnace temperature control, and the Programmable Logic Controller (PLC) is adopted to reduce the electrical wiring and switch contacts. The hardware circuit of DCS is designed; on this basis, an embedded operating system with excellent performance is transplanted according to functional requirements. The final DCS-based temperature control system is applied to actual monitoring. The real-time temperature of the upper, middle, and lower currents of 1# sintering furnace at a particular point is measured to be 56.95°C, 56.58°C, and 57.2°C, respectively. The real-time temperature of the upper, middle, and lower currents of 2# sintering furnaces at a particular point is measured to be 144.7°C, 143.8°C, and 144.0°C, respectively. Overall, the temperature control deviation of the three currents of the two sintering furnaces stays in the controllable range. An expert system based on fuzzy logic in the fault diagnosis system can comprehensively predict the situation of the sintering furnaces. The prediction results of the sintering furnace’s faults are closer to the actual situation compared with the fault diagnosis method based on the Backpropagation (BP) neural network. The designed system makes up for the shortcomings of the sintering furnace’s traditional temperature control systems and can control the temperature of the sintering furnace intelligently and scientifically. Besides, it can diagnose equipment faults timely and efficiently, thereby improving the sintering efficiency.

The temperature control and monitoring system in the freezer room has an important role in maintaining the quality of food raw materials. Freezer space is used to store food raw materials to keep them fresh and undamaged. However, if the temperature in the freezer compartment is not properly monitored, food raw materials may be damaged which can affect their quality and safety. Therefore, an IoT-based temperature control and monitoring system in the freezer room was created using Wemos D1 R2. The design of this prototype uses hardware, namely the WeMos D1 R2 microcontroller based on ESP8266 because it can be connected to WiFi, DHT22 temperature sensor, I2C LCD and relay. The results of this prototype design are being able to read the temperature and humidity of the freezer room and having a temperature control system that can be seen on the Blynk application on a smartphone by displaying the temperature and humidity values. The conclusion from this study is that the prototype has succeeded in controlling the temperature of the freezer room as well as monitoring the temperature and humidity of the freezer room and displaying it on the Blynk application on a smartphone and has a warning notification when the temperature rises above -18 degrees celsius.

Objective To investigate the clinical effectiveness of an intelligent shell temperature control system in deep tumor hyperthermia for controlling the temperature in the outer shell of chest and abdominal malignancies. Methods From 2015 to 2016, a randomized comparative study was carried out in the intelligent temperature control system (experimental group containing 37 patients with chest tumor and 26 patients with abdominal tumor) and conventional cooling by replacement of water bags (control group containing 37 patients with chest tumor and 25 patients with abdominal tumor) for chest and abdominal tumor hyperthermia. The effectiveness in controlling the outer shell temperature was compared between the two methods. Results In the experimental group, the first boot of the cooling system occurred at 24.1 and 21.8 minutes on average after the hyperthermia started and the average number of system boots was 2.5. In the control group, patients reminded to replace the water bag at 33.1 and 33.8 minutes on average after the hyperthermia started and the average number of replacements was 3.6. The highest outer shell temperature in patients with chest tumor and abdominal tumor averaged 38.5 and 39.1 ℃ at the first boot of the cooling system in the experimental group and 39.3 and 40.4 ℃ at the first replacement of the cooling water bag in the control group, respectively. The treatment with and without the intelligent temperature control system caused grade ≥Ⅱ empyrosis in 1 and 4 patients with chest tumor and in 0 and 3 patients with abdominal tumor, respectively. Conclusions In deep tumor hyperthermia, compared with the conventional cooling by replacement of water bags, the intelligent shell temperature control system can detect and cool the high-temperature zone in the outer shell at an earlier time, which effectively reduces the incidence of skin burn injury. Key words: Deep hyperthermia; Scalded skin; Temperature control

Based on the analysis of the whole system of magnesium alloy melting furnace, the functional requirements of the temperature control system are clarified. Based on the analysis of the melting process of magnesium alloy, the thermal stress situation in the heating furnace temperature rise period is analyzed by means of analysis of heat transfer simulation, the reasonable heating rate and magnesium melt temperature variation are determined. The method of control strategy based on PLC algorithm and multipoint temperature measuring are put forward to solve the temperature control system of magnesium melt temperature fluctuation in improper rate control and continuous casting. A set of control system based on PC and PLC is designed according to the functional requirements of magnesium alloy furnace temperature control system. The system uses PLC as the main control unit to realize the automatic heating control and data acquisition. At the same time, PC is taken as a human-computer interaction platform, and VB6.0 is used to develop computer monitoring software to realize on-line control of upper computer and lower computer and centralized control of the whole control system, which simplifies the operation, reduces the failure rate of the equipment, improve the work efficiency and the accuracy and flexibility of the system. The hardware configuration and software design of temperature control system for magnesium alloy melting furnace is completed, the temperature control system performance is tested, and the feasibility of heating system and the rationality that based on the duty ratio of hybrid control of output control and PID control are verified. According to the experimental results, the experimental system of magnesium alloy melting furnace is established, and the temperature control experiment is carried out. The experimental results show that the temperature control system achieves the expected control objectives.

In the Ring Laser Gyro Inertial Navigation System (RLG INS), the temperature characteristics of the accelerometer can directly influence the measurement results. In order to improve navigation accuracy in long-endurance marine navigation, the operating temperature of the accelerometer should be precisely controlled. Based on thermal studies on the accelerometer, temperature control precision should be better than 0.01 °C to achieve 1 × 10−5 m/s2 output accuracy of the accelerometer. However, this conclusion is obtained by approximate calculations and cannot be directly applied to different inertial navigation systems. In order to verify this thermal conclusion and broaden its application, the Back Propagation Neural Network (BP-NN) algorithm is adopted to validate the feasibility of temperature control in this paper. In addition, a multi-level temperature control system is also set up and carefully designed to support the validation and experiments under different conditions. Test results of the temperature control system prove that operating temperature variation can be reduced to 0.01 °C. Meanwhile, the standard deviation per hundred seconds of the accelerometer outputs, after temperature control, reaches 1 × 10−5 m/s2. Static altitude and navigation results were improved by 41.97% and 62.91%, respectively, with the precision temperature control system, which meets the long-endurance marine navigation requirements.

Agricultural cultivation technology with a hydroponic system is expected to be an alternative for people who have limited land or yards. However, manual control cannot be done at any time due to business and other work, so a controller is needed to monitor and control the temperature and water level in hydroponic plants to avoid the death of plant. The purpose of this research is to create a temperature and water level control system for hydroponic plants. The control process uses a NodeMCU esp8266 microcontroller. The process of data communication carried out by hardware and software using wireless media. The water temperature detection system uses a DS18B20 sensor, while the water level sensor uses an ultrasonic HC-SR04. The results of this study the system as a whole can perform the process of monitoring and controlling the temperature and water level in hydroponic plants automatically and displayed on the LCD and android. When the water level is less than the minimum limit of 5 cm, the filling pump will be active and it will take about 6.48 minutes to fill the reservoir from an empty state. In the temperature control system, an average error of 3.71%. In this research is obtained if water temperature is more than 29°C, the cold water pump will be active and it will take about 2 minutes to circulate the water back to 28°C.

The temperature control system is an indispensable key system for the thermal vacuum test. It is used to simulate the infrared heat flow environment of the spacecraft in orbit. In order to improve the stability and reliability of temperature control, this paper designs and develops a thermal vacuum test temperature control system based on the Modbus RTU serial communication protocol on the LabVIEW platform. The system combines the flexibility of software development on LabVIEW platform and combines the stability of serial communication with controller. This temperature control system has been used in thermal vacuum test, the control effect of overshooting within 1°C and temperature control accuracy within ±0.2°C. The system has high stability, which achieves the expected goal.

Designing a smart vegetable greenhouse temperature control system based on automatic computer controlled, elaborated on the temperature of the system acquisition, temperature control system, heater control circuits and other system hardware design ideas to improve the system’s control algorithm, using MATLAB for system simulation. The simulation curve of the system has better control and tracking performance, high precision temperature control, also composed of two computer-controlled systems and the host computer, to facilitate the centralized management of the production. Practice shows that the study design, vegetable greenhouses intelligent temperature control system for man–machine interface, easy operation, high degree of automation, low cost, with a good prospect and promotional value.KeywordsVegetable greenhousesTemperature controlFuzzy control

Aiming at the influence of driving speed, air temperature, wind speed and other nonlinear factors on driving, the traditional PID has poor ability to adjust adaptively temperature, which it is difficult to meet the needs of self-adaptive temperature adjustment about the electric vehicle gloves. So a temperature control and thermal insulation system based on adaptive fuzzy PID for electric vehicle gloves is designed in this article. According to the fuzzy rule, the error and the rate of error change between the actual temperature and the set value of gloves are deduced, the increment DKp, DKi, DKd of Kp, Ki, Kd are obtained, then the PID control parameter Kp, Ki, Kd can be further adjusted to meet the needs of adaptive adjusting gloves temperature in different environments. The system adopts STM32F103C8T6 micro controller, voice recognition and player module, human body induction module and other sensors for hardware design, software design and experimental verification. Experimental result shows that contrasting the traditional PID control system the design in this paper significantly improves the temperature control accuracy of electric vehicle gloves, with less overshoot and stronger robustness. It is great significance to improve the reliability of the real-time temperature control system in different environments and the comfortable sensation of wearing for electric vehicle glove.

Heart rate response to industrial work at different outdoor temperatures with or without temperature control system at the plant

In this article, the new method for designing the temperature control system with low vibration for a scanning tunneling microscope using dual modes heat exchanging process is proposed. The system is designed to operate into two modes i.e. the temperature control mode and the temperature stabilization mode. In the temperature control mode, the cold water is used as a heat convector in heat exchanging process. To reduce the vibration introduced by flowing of water in heat exchanging process, the cold vapor is used as a low density heat convector in the temperature stabilization mode. To assess the feasibility of the new proposed method, the preliminary experimental system is setup and verified. The experimental result of temperature control with step changed of the set-point temperature shows that temperature inside the cylindrical closed surface capsule reached the set-point value with the rise time of 25 min. The experimental result also shows that temperature stability with the fluctuation level of 0.05 °C and 0.01 °C over periods of 15 min and 2 min, respectively, are achieved. The results indicate that our goal to construct the temperature control system for a scanning tunneling microscope with temperature fluctuation of 0.01 °C over a period of 1 hour and low vibration can be realized by using the proposed method.

Chapter 9 - Case Study: Temperature control project