Infrared thermometer capable of automatically switching emissivity

Abstract

The invention discloses an infrared thermometer capable of automatically switching emissivity, which comprises an infrared light beam emitter and an infrared light receiver and is used for acquiring an infrared radiation signal of a measured object for subsequent conversion of the emissivity; the infrared temperature measurement sensor is used for measuring the surface temperature of the object; the data processing unit is used for receiving data of the infrared temperature measurement sensor and processing and analyzing the data in real time; the emissivity conversion module can automatically adjust the emissivity according to the surface characteristics of the measured object; the user interaction module provides a visual user interaction interface; according to the infrared thermometer capable of automatically switching the emissivity, the appropriate emissivity can be automatically selected according to the surface characteristics of the measured object, so that the measurement precision and efficiency are improved, the measurement precision and efficiency are improved, errors caused by manual operation are reduced, and the measurement accuracy is improved. The method is especially suitable for industrial and scientific research scenes requiring frequent measurement of surface temperatures of different objects, and has wide application prospects and market potential.

Description

Technical Field

[0001] The invention belongs to the technical field of infrared temperature measuring instruments, and in particular relates to an infrared temperature measuring instrument capable of automatically switching emissivity. Background Art

[0002] Infrared thermometer is a device used for temperature measurement and is also an important non-contact temperature measurement tool. It is widely used in industry, medical treatment, scientific research and other fields. It consists of optical system, photoelectric detector, signal amplifier and signal processing, display output and other parts. The optical system gathers the infrared radiation energy of the target within its field of view. The size of the field of view is determined by the optical parts of the thermometer and their position. The infrared energy is focused on the photoelectric detector and converted into a corresponding electrical signal. The signal passes through the amplifier and signal processing circuit, and is converted into the temperature value of the measured target after correction according to the algorithm in the instrument and the target emissivity.

[0003] Infrared thermometers measure the surface temperature of a target object by receiving infrared radiation energy emitted by it. The infrared radiation energy of an object is proportional to its temperature, but the emissivity (i.e. the ability of an object to emit infrared radiation) of different objects is different, which directly affects the accuracy of the measurement results. For example, the infrared radiation intensity of high-emissivity objects (such as metals) and low-emissivity objects (such as glass) at the same temperature will be significantly different. Therefore, accurate temperature measurement requires adjustment based on the emissivity of the object being measured;

[0004] At present, some infrared thermometers on the market have the function of adjusting the emissivity. Users need to manually adjust the emissivity to adapt to the characteristics of different object surfaces, which may cause inconvenience and errors in actual operation. Manually adjusting the emissivity is not only time-consuming but also prone to errors. Especially when measuring multiple different objects quickly, this operation mode is particularly inconvenient. Therefore, the present invention proposes an infrared thermometer with automatic switching of emissivity. Summary of the invention

[0005] The purpose of the present invention is to provide an infrared thermometer with automatically switching emissivity, so as to solve the problem mentioned in the above background technology that the emissivity of infrared thermometers currently on the market can only be adjusted manually.

[0006] To achieve the above object, the present invention provides the following technical solution: an infrared thermometer with automatic switching of emissivity, comprising:

[0007] Infrared beam transmitter and infrared light receiver are used to collect infrared radiation signals of the object under test for subsequent conversion of emissivity;

[0008] Infrared temperature sensor, used to measure the surface temperature of objects;

[0009] A data processing unit, used to receive data from the infrared temperature sensor and perform real-time processing and analysis;

[0010] Emissivity conversion module, which can automatically adjust the emissivity according to the surface characteristics of the object being measured;

[0011] User interaction module, which provides an intuitive user interaction interface, where users can operate by pressing buttons;

[0012] The power module and buzzer are used to provide power to the equipment and alarm for abnormalities during temperature measurement;

[0013] As well as a fuselage and a nose disposed on top of the fuselage.

[0014] Preferably, a signal processing circuit is provided between the infrared temperature measuring sensor and the data processing unit.

[0015] Preferably, a signal gain amplifier circuit is provided between the infrared light receiver and the data processing unit.

[0016] Preferably, the data processing unit comprises:

[0017] A data receiving module receives data from the infrared beam transmitter and the infrared light receiver through a high-speed interface;

[0018] MCU processor, with powerful data computing capabilities;

[0019] Real-time analysis and calculation module, which can analyze and calculate the collected data in real time;

[0020] The result storage and display module can store the calculation results in the internal memory so that users can view them at any time. It is also responsible for passing the results to the user interaction module for display;

[0021] The fault diagnosis and alarm module has the fault diagnosis and alarm functions.

[0022] Preferably, the emissivity conversion module includes:

[0023] Algorithm integration module, integrating Kalman filter algorithm and RTS smoothing algorithm;

[0024] Emissivity database module, with a built-in emissivity database, which stores the emissivity values ​​of common materials and their changes with temperature;

[0025] The adaptive learning module has adaptive learning capabilities and can continuously optimize algorithm parameters and emissivity database based on data feedback during the actual measurement process.

[0026] Preferably, a laser sight, an infrared temperature measuring window and an emissivity detection window are provided on the inclined surface of the nose.

[0027] Preferably, the user interaction module includes:

[0028] A button control module connected to buttons arranged on the side of the fuselage;

[0029] The test switch is mounted on the other side of the fuselage and at the bottom of the nose;

[0030] The display interface is set on the side of the body and above the buttons.

[0031] Preferably, a battery compartment is provided on the bottom side of the fuselage.

[0032] Compared with the prior art, the beneficial effects of the present invention are: the present invention can automatically select a suitable emissivity according to the surface characteristics of the object being measured, thereby improving the measurement accuracy and efficiency. The infrared thermometer that automatically switches the emissivity not only improves the measurement accuracy and efficiency, but also reduces the errors caused by human operation. It is particularly suitable for industrial and scientific research scenarios that require frequent measurement of the surface temperatures of different objects, and has broad application prospects and market potential. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a system framework diagram of the present invention;

[0034] Figure 2 It is a framework diagram of the data processing unit of the present invention;

[0035] Figure 3 It is a framework diagram of the emissivity conversion module of the present invention;

[0036] Figure 4 It is a structural diagram of the present invention;

[0037] Figure 5 It is a structural diagram of another perspective of the present invention;

[0038] In the figure: 1. Body; 2. Buttons; 3. Display interface; 4. Battery compartment; 5. Laser aimer; 6. Infrared temperature measurement window; 7. Emissivity detection window; 8. Test switch; 9. Head. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] Example

[0041] See also Figures 1 to 5, is an embodiment of the present invention, which provides a technical solution: an infrared thermometer with automatic switching of emissivity, comprising

[0042] The infrared beam transmitter and infrared light receiver use high-sensitivity and higher-resolution infrared detectors, which can capture the weak infrared radiation signals emitted by the object being measured and convert them into electrical signals for transmission. They are used to collect the infrared radiation signals of the object being measured for subsequent conversion of the emissivity, and are connected to the data processing unit to transmit the collected infrared data in real time.

[0043] Infrared temperature sensor, used to measure the surface temperature of objects;

[0044] The data processing unit is used to receive the data from the infrared temperature sensor and perform real-time processing and analysis, and is connected with the infrared beam transmitter, infrared light receiver, emissivity conversion module and user interaction module to realize data transmission and command control;

[0045] The emissivity conversion module has a built-in automatic emissivity calculation function, which can automatically adjust the emissivity according to the surface characteristics of the object being measured. It is connected to the data processing unit, receives analysis instructions and returns the adjusted emissivity value;

[0046] User interaction module, which provides an intuitive user interaction interface, where users can operate by pressing buttons;

[0047] The power module and buzzer are used to provide power to the equipment and alarm for abnormalities during temperature measurement;

[0048] As well as a fuselage 1 and a nose 9 arranged on the top of the fuselage 1.

[0049] In this embodiment, preferably, a signal processing circuit is provided between the infrared temperature measuring sensor and the data processing unit to process the data.

[0050] In this embodiment, preferably, a signal gain amplifier circuit is provided between the infrared light receiver and the data processing unit to ensure stable transmission of the received signal.

[0051] In this embodiment, preferably, the data processing unit includes:

[0052] The data receiving module receives data from the infrared beam transmitter and infrared light receiver through a high-speed interface and performs preprocessing, including amplification, filtering and denoising of data signals. It is also responsible for starting the emissivity conversion module to calculate the emissivity.

[0053] MCU processor, with powerful data computing capabilities;

[0054] The real-time analysis and calculation module can analyze and calculate the collected data in real time, and can analyze the surface characteristics of the measured object, including factors such as material type, surface roughness, physical and chemical structure and material thickness. These factors will affect the emissivity of the object and thus affect the accuracy of infrared temperature measurement. The unit adopts efficient algorithms and data structures to ensure the fast and accurate calculation process;

[0055] The result storage and display module can store the calculation results in the internal memory so that users can view them at any time. It is also responsible for passing the results to the user interaction module for display, including temperature values, emissivity settings, etc.

[0056] The fault diagnosis and alarm module has the function of fault diagnosis and alarm. When a sensor failure or data abnormality is detected, an alarm signal will be issued immediately, and the user will be prompted to take corresponding treatment measures.

[0057] The data processing unit is designed with flexible interface expansion functions, which can connect and exchange data with other external devices or systems. At the same time, the unit also has good compatibility and can support multiple communication protocols and data formats to meet the needs of different application scenarios.

[0058] In this embodiment, preferably, the emissivity conversion module includes:

[0059] Algorithm integration module, integrating Kalman filter algorithm and RTS smoothing algorithm;

[0060] Kalman filter algorithm: used to smooth the collected infrared data, reduce noise interference, and improve data accuracy. The algorithm continuously corrects the estimated value of the emissivity through prediction and update steps. The Kalman filter algorithm is a recursive algorithm based on Bayesian estimation. It can make the best estimate of the state of the system in the presence of noise and uncertainty. In the emissivity conversion module, the Kalman filter algorithm is used to smooth the collected data to reduce noise interference and improve data accuracy. The Kalman filter algorithm calculates the state of the system through two main steps:

[0061] Prediction step: Based on the system's dynamic model (such as the temperature change model of an object), the system state at the next moment is predicted. In this step, the algorithm takes into account the system's current state, control inputs (such as inputs from heating or cooling devices), and the system's noise characteristics.

[0062] Update step: When new measurement data arrives, the algorithm updates the estimate of the system state based on the difference between the measurement data and the predicted value, as well as the characteristics of the measurement noise. In the update step, the algorithm calculates a weighting factor called the Kalman gain to balance the contribution of the predicted value and the measured value in the final estimate.

[0063] In the emissivity conversion module, the Kalman filter algorithm is used to smooth the collected temperature data. The algorithm predicts the temperature value at the next moment based on the temperature change model of the object and the noise characteristics of the infrared detector, and updates the temperature estimate based on the new measurement data. Through continuous iteration of this process, the algorithm can gradually approach the actual temperature of the object and reduce the impact of noise on the measurement results.

[0064] RTS smoothing algorithm: RTS (Rauch-Tung-Striebel) smoothing algorithm is a post-processing algorithm that can further optimize the state estimate obtained by the Kalman filter algorithm when the entire observation sequence is known. The RTS smoothing algorithm corrects the previous estimate by using subsequent observation data to obtain a more accurate state estimate. The core idea of ​​the RTS smoothing algorithm is to use the forward state estimate and covariance matrix obtained by the Kalman filter algorithm, as well as subsequent observation data, to perform reverse recursion to obtain a more accurate state estimate. The algorithm will calculate a weight factor called smoothing gain to balance the contribution of the forward estimate and reverse correction in the final smoothed estimate. In the emissivity conversion module, the RTS smoothing algorithm is used to further optimize the temperature estimate obtained by the Kalman filter algorithm. The algorithm will use the entire observation sequence (that is, all temperature data collected by the infrared detector) to reversely recurse the temperature estimate obtained by the Kalman filter algorithm to obtain a more accurate temperature estimate. Through this process, the algorithm can further reduce the impact of noise on the measurement results and improve the accuracy of the measurement;

[0065] In the emissivity conversion module, the Kalman filter algorithm and the RTS smoothing algorithm are integrated together to process and analyze the data collected by the infrared detector. The implementation process of the algorithm is as follows:

[0066] Initialization: Set the initial state estimate and covariance matrix of the Kalman filter algorithm, as well as the initial parameters required by the RTS smoothing algorithm;

[0067] Forward filtering: Use the Kalman filter algorithm to forward process the data collected by the infrared detector to obtain a preliminary temperature estimate and covariance matrix;

[0068] Reverse smoothing: When the entire observation sequence is known, the RTS smoothing algorithm is used to reversely recurse the temperature estimate obtained by the Kalman filter algorithm to obtain a more accurate temperature estimate;

[0069] Emissivity calculation: Based on the optimized temperature estimate and the emissivity characteristics of the object, the emissivity value of the object under test is calculated;

[0070] Result output: The calculated emissivity value is output to the data processing unit or other related modules.

[0071] Through this process, the emissivity conversion module can accurately process and analyze the data collected by the infrared detector, thereby obtaining a more accurate emissivity value, providing a strong guarantee for high-precision infrared temperature measurement;

[0072] The emissivity database module has a built-in emissivity database that stores the emissivity values ​​of common materials and their changes with temperature. When the material type of the object being tested is detected, the module will search for the corresponding emissivity value from the database and make fine adjustments based on the real-time collected data.

[0073] Adaptive learning module, with adaptive learning capability, can continuously optimize algorithm parameters and emissivity database based on data feedback during actual measurement. With the increase of usage time, the measurement accuracy and adaptability of the module will continue to improve;

[0074] The emissivity conversion module is connected to the data processing unit through a standard interface, receives infrared detection data (from the infrared beam transmitter and the infrared light receiver), and returns the adjusted emissivity value. The interface design follows the principles of high efficiency, stability, and easy expansion to ensure the reliability and real-time performance of data transmission.

[0075] In this embodiment, preferably, a laser sight 5, an infrared temperature measuring window 6 and an emissivity detection window 7 are provided on the inclined surface of the machine head 9. The laser sight 5 is connected to the data processing unit through a standard interface and is used for auxiliary positioning during preliminary detection. The infrared temperature measuring sensor is installed in the infrared temperature measuring window 6, and the infrared beam transmitter and the infrared light receiver are installed in the emissivity detection window 7.

[0076] In this embodiment, preferably, the user interaction module includes:

[0077] A button control module connected to a button 2 arranged on the side of the body 1;

[0078] A test switch 8 is installed on the other side of the fuselage 1 and at the bottom of the nose 9;

[0079] The display interface 3 is arranged on the side of the body 1 and above the button 2 .

[0080] In this embodiment, preferably, a battery compartment 4 is provided on the bottom side of the body 1 , and the power module is installed in the battery compartment 4 .

[0081] In summary, in actual use, the operator holds the fuselage 1 and points the head 9 toward the object to be measured. The laser sight 5, the infrared temperature measuring window 6 and the emissivity detection window 7 work simultaneously. The infrared beam transmitter and the infrared light receiver collect the infrared radiation signal of the object to be measured and transmit the data to the data processing unit. After receiving the data, the data processing unit starts the emissivity conversion module to calculate the emissivity. The emissivity conversion module analyzes the collected data according to the algorithm, automatically adjusts the emissivity setting value, and returns the result to the data processing unit. The data processing unit transmits the processing result (including the measurement result and the emissivity setting) to the user interaction module for display, and automatically starts the infrared temperature sensor to perform the temperature measurement process. The power supply module provides a stable power supply for the entire system to ensure the normal operation of each module.

[0082] Through the design of the above system framework, the infrared thermometer of the present invention can realize automatic detection and analysis of the surface characteristics of the measured object, thereby selecting a suitable emissivity for measurement, greatly improving the measurement accuracy and efficiency, and reducing the errors caused by human operation.

[0083] Although embodiments of the present invention have been shown and described (see the above detailed description for details), it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An infrared thermometer with automatic emissivity switching, characterized in that: include Infrared beam transmitter and infrared light receiver are used to collect infrared radiation signals of the object under test for subsequent conversion of emissivity; Infrared temperature sensor, used to measure the surface temperature of objects; A data processing unit, used to receive data from the infrared temperature sensor and perform real-time processing and analysis; Emissivity conversion module, which can automatically adjust the emissivity according to the surface characteristics of the object being measured; User interaction module, which provides an intuitive user interaction interface, where users can operate by pressing buttons; The power module and buzzer are used to provide power to the equipment and alarm for abnormalities during temperature measurement; And a fuselage (1) and a head (9) arranged at the top of the fuselage (1).

2. The infrared thermometer with automatic emissivity switching according to claim 1, characterized in that: A signal processing circuit is arranged between the infrared temperature measuring sensor and the data processing unit.

3. The infrared thermometer with automatic switching of emissivity according to claim 1, characterized in that: A signal gain amplification circuit is arranged between the infrared light receiver and the data processing unit.

4. The infrared thermometer with automatic switching of emissivity according to claim 1, characterized in that: The data processing unit comprises: A data receiving module receives data from the infrared beam transmitter and the infrared light receiver through a high-speed interface; MCU processor, with powerful data computing capabilities; Real-time analysis and calculation module, which can analyze and calculate the collected data in real time; The result storage and display module can store the calculation results in the internal memory so that users can view them at any time. It is also responsible for passing the results to the user interaction module for display; The fault diagnosis and alarm module has the fault diagnosis and alarm functions.

5. The infrared thermometer with automatic switching of emissivity according to claim 1, characterized in that: The emissivity conversion module includes: Algorithm integration module, integrating Kalman filter algorithm and RTS smoothing algorithm; Emissivity database module, with a built-in emissivity database, which stores the emissivity values ​​of common materials and their changes with temperature; The adaptive learning module has adaptive learning capabilities and can continuously optimize algorithm parameters and emissivity database based on data feedback during the actual measurement process.

6. The infrared thermometer with automatic switching of emissivity according to claim 1, characterized in that: A laser sight (5), an infrared temperature measuring window (6) and an emissivity detection window (7) are arranged on the inclined surface of the machine head (9).

7. The infrared thermometer with automatic emissivity switching according to claim 1, characterized in that: The user interaction module comprises: A button control module connected to a button (2) arranged on the side of the body (1); A test switch (8) is mounted on the other side of the body (1) and at the bottom of the nose (9); The display interface (3) is arranged on the side of the body (1) and is located above the button (2).

8. The infrared thermometer with automatic switching of emissivity according to claim 1, characterized in that: A battery compartment (4) is provided on the side of the bottom end of the body (1).

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