Research On Infrared Temperature Measurement System Of Moving Strong Reflector Based On Least Squares

Temperature is an important basic data in industry,agriculture,storage,environmental monitoring and other fields.Accurate temperature measurement is conducive to improving safety production,product quality,production efficiency,etc.Due to the limitation of temperature measurement environment and space conditions in many industrial sites,the traditional contact temperature measurement method is difficult to meet the measurement requirements,and the non-contact temperature measurement technology has become an important application method.With the rapid development of electronic technology and information technology,the non-contact temperature measurement technology is widely used,and the high-precision non-contact temperature measurement technology is a hot topic at home and abroad one of the questions.The roll is necessary and important equipment in aluminum processing,and its surface temperature will change its thermal expansion.The gap shape between rolls will change accordingly,affecting the quality of aluminum products.Therefore,it is important to monitor and control the roll surface temperature.The roller is a highly reflective body that rotates continuously during work.In this paper,aiming at the temperature measurement and control of roll surface in the aluminum plate processing industry,a method of using multiple infrared temperature sensors to measure the temperature of the target at the same time is proposed,and the temperature compensation algorithm model based on roll rotation speed and natural environment light is created respectively,which improves the accuracy of temperature measurement.The research results have important reference significance of improving the surface temperature measurement of moving strong reflectors.The main research work and achievements are as follows:(1)Analyze and study the structural parameters of aluminum plate processing equipment and the influencing factors of the surrounding environment,and establishes the temperature measurement scheme based on infrared sensor.By analyzing the principle of temperature measurement and production demand,the non-contact temperature measurement method is selected,and the temperature measurement system is designed with an infrared temperature sensor as the core.(2)Develop the overall scheme of the system and build the experimental platform.Complete the design of hardware and software,including the selection of a temperature sensor and microprocessor,the design of signal acquisition module,serial communication and upper computer LabVIEW interface.(3)The calibration of infrared temperature sensor is completed,and the fusion algorithm based on least square principle is proposed.The calibration of single infrared temperature sensor is completed by high-precision thermocouple,so as to improve the measurement accuracy of infrared temperature sensor;for the measurement data of multiple sensors,the least square weighted fusion algorithm is used to calibrate the consistency of two infrared temperature sensors in the temperature measurement system,so as to eliminate the accumulated error.(4)The influence of roll rotation speeds and ambient light on temperature measurement accuracy was studied and analyzed.The temperature compensation algorithm model of rotation speeds and ambient light of moving strong reflector was constructed respectively.Aiming at the influencing factors of the accuracy of the temperature measurement system,this paper focuses on the experimental test and Research on the rotational speed of the measured object and the light intensity at the surface of the measured object.Through the analysis of the measurement results,it is found that the surface light intensity on the temperature measurement of the moving strong reflector,and an effective compensation algorithm is proposed,which greatly improves the measurement of the infrared temperature measurement system accuracy.