CN106679816B - A kind of mobile phone temp detection method and system - Google Patents

Abstract

The invention discloses a kind of mobile phone temp detection method and systems, which comprises obtains the infrared radiation images of the different moments of mobile phone to be measured under operation；The temperature of the sampling area is calculated according to the grayscale value of the pixel in multiple sampling areas on each infrared radiation images and is associated with the coordinate of the sampling area；Maximum temperature and its associated coordinate are obtained from the temperature of multiple sampling areas of each infrared radiation images；The temperature variation curve of the mobile phone to be measured at any time is fitted using the maximum temperature of multiple infrared radiation images.By applying the present invention, can be realized the automatic control of mobile phone temp detection, it is not necessarily to manual intervention, and then save a large amount of manpower.

Description

A mobile phone temperature detection method and system

technical field

The invention relates to the technical field of mobile phone detection, in particular to a method and system for detecting the temperature of a mobile phone.

Background technique

In order to ensure that the quality of smartphones meets the requirements, a series of temperature tests are generally carried out before the mobile phone leaves the factory to ensure that the temperature of the mobile phone changes normally under the operating state and does not affect the user's use.

However, in the actual temperature test of the mobile phone, the tester usually observes and records the maximum temperature and the position where the temperature of the mobile phone to be tested is detected by the infrared imaging temperature detector in the running state of the mobile phone to be tested at regular intervals. Then analyze the temperature data to judge whether the temperature rise is qualified during the use of the mobile phone. Finally, the testers will feed back the test results to the R&D personnel. The whole process is carried out by the testers, which requires high manpower.

Contents of the invention

The technical problem mainly solved by the present invention is to provide a mobile phone temperature detection method, which can automatically detect and analyze the temperature of the mobile phone without manual intervention.

In order to solve the above-mentioned technical problems, the technical solution adopted by the present invention is: provide a mobile phone temperature detection method, comprising: obtaining infrared radiation images at different times in the running state of the mobile phone to be tested; Calculate the temperature of the sampling area and associate it with the coordinates of the sampling area from the grayscale values of the pixels in the sampling area; obtain the highest temperature and its associated coordinates from the temperatures of multiple sampling areas of each infrared radiation image; use multiple The maximum temperature of each infrared radiation image is used to fit the temperature change curve of the mobile phone under test with time.

Wherein, the steps of obtaining infrared radiation images at different moments of the mobile phone under test and converting them into infrared radiation images include: turning over the mobile phone to be tested and obtaining infrared radiation images of the front and back sides of the mobile phone to be tested at different times; The step of fitting the maximum temperature of the multiple infrared radiation images to the temperature change curve of the mobile phone under test over time includes: using the maximum temperature of the multiple infrared radiation images corresponding to the front of the mobile phone to be tested and the multiple infrared radiation corresponding to the back The maximum temperature of the image is respectively fitted to the temperature change curves of the front and back of the mobile phone to be tested over time.

Wherein, the step of calculating the temperature of the sampling area according to the grayscale values of pixels in a plurality of sampling areas on each infrared radiation image and correlating with the coordinates of the sampling area includes: setting a relative infrared radiation temperature on the infrared radiation image Sampling template for image movement; before or after each movement of the sampling template, extract the grayscale value of each color channel of the pixel in the sampling area that overlaps with the sampling template on the infrared radiation image and calculate the grayscale of each color channel order average;

Calculate the standard point closest to the grayscale average value of each color channel in the temperature scale through the Euclidean distance, and use the temperature associated with the standard point as the temperature of the sampling area and associate it with the coordinates of the sampling template relative to the infrared radiation image when extracting the grayscale value .

Further, the above method includes: judging whether the highest temperature point at different times in the temperature change curve is greater than a preset temperature threshold; if greater than the temperature threshold, highlighting the highest temperature point greater than the temperature threshold in the temperature change curve, Extract the highest temperature points greater than the temperature threshold and their corresponding coordinates, and generate test results.

Further, the above method includes: sending the temperature change curve together with the test results to the designated address by mail.

In order to solve the above technical problems, the present invention adopts another solution: provide a mobile phone temperature detection system, including a test platform, an infrared imager and a central control device, wherein the test platform is used to support the mobile phone to be tested, and the infrared imager It is used to obtain the infrared radiation images of the mobile phone under test at different moments in the running state, and the central control device is used to calculate the temperature of the sampling area according to the gray scale values of the pixels in multiple sampling areas on each infrared radiation image and compare it with the The coordinates of the sampling area are correlated, the highest temperature and its associated coordinates are obtained from the temperatures of multiple sampling areas of each infrared radiation image, and the maximum temperature of the multiple infrared radiation images is further used to fit the temperature of the mobile phone under test over time. temperature change curve.

Further, the above system includes a rotating assembly, and the central control device controls the rotating assembly to rotate the test platform and the mobile phone under test supported on the test platform, so that the infrared imager can obtain infrared radiation images of the front and back of the mobile phone under test at different times , the central control device uses the maximum temperature of the multiple infrared radiation images corresponding to the front of the mobile phone to be tested and the maximum temperature of the multiple infrared radiation images corresponding to the back of the mobile phone to respectively fit the temperature changes of the front and back of the mobile phone to be tested over time curve.

Further, the central control device is used to send a control instruction to the mobile phone under test, so that the mobile phone under test is in a running state.

Specifically, the central control device includes a server and/or a processor.

Further, the above system includes a display, which is used to display the infrared radiation image of the mobile phone to be tested, and the temperature change curves of the front and back of the mobile phone to be tested with time.

The beneficial effect of the present invention is: different from the situation of the prior art, the present invention automatically acquires the infrared radiation images of the mobile phone to be tested at different times, and calculates the temperature of the corresponding sampling area according to the pixel gray scale value of each sampling area. Coordinates of the corresponding sampling area, and finally obtain the maximum temperature and corresponding coordinates of the sampling area in each infrared radiation image, and then fit the temperature change curve of the maximum temperature with time. All procedures are automatically completed, and no manual steps are required. The operation enables the test program to continue, improves the intelligence of the detection, and saves a lot of manpower.

Description of drawings

Fig. 1 is a schematic flow chart of an embodiment of the mobile phone temperature detection method of the present invention;

Fig. 2 is a schematic flow chart of step S120 in an embodiment of the mobile phone temperature detection method of the present invention;

Fig. 3 is a structural schematic diagram of an embodiment of the mobile phone temperature detection system of the present invention.

Detailed ways

Please refer to Fig. 1, an embodiment of the mobile phone temperature detection method of the present invention, including:

S110, acquiring infrared radiation images of the mobile phone to be tested at different moments in a running state and converting them into infrared radiation images;

The operating state of the mobile phone under test specifically refers to the operating modes of the mobile phone under test such as playing videos, browsing the web, making calls, shooting images, and playing games.

Among them, the mobile phone to be tested can enter the running state, specifically, the mobile phone can be adjusted to the running state before testing, or the mobile phone can be connected to a computer, server, processor, etc., and the mobile phone can enter the set running state through the corresponding software, or the waiting state Set up a robot hand next to the test mobile phone, and open the mobile phone to be tested to the running state by controlling the operation of the robot hand.

The infrared radiation image is specifically the image recorded by the infrared scanner on the surface radiation with a wavelength of 3-14 μm. The infrared radiation image records the thermal infrared radiation information radiated by the ground objects that cannot be seen by the human eye. Using this information, the ground objects and reflections can be identified. Perform surface parameters, such as temperature, emissivity, humidity, thermal inertia, etc., and assign different colors to different temperatures to make it easier for people to observe. Therefore, different colors on the infrared radiation image represent different temperatures on the surface of the mobile phone to be tested.

Obtaining the infrared radiation images of the mobile phone under test at different moments in the running state is specifically carried out through an infrared thermal imager. The infrared thermal imager uses the infrared detector and the optical imaging objective lens to receive the infrared radiation energy distribution pattern of the measured target and reflect it on the photosensitive element of the infrared detector, so as to obtain the infrared thermal image, and convert the invisible infrared energy emitted by the object into Visible thermal image, that is, the above-mentioned infrared radiation image.

Specifically, acquiring infrared radiation images at different times may specifically be acquiring infrared radiation images continuously within a preset time period, or acquiring them every other time period, such as once every 5 minutes, and recording the acquired images corresponding time.

Optionally, step S110 includes:

Turn over the mobile phone to be tested and obtain the infrared radiation images of the front and back sides of the mobile phone to be tested at different times;

It is easy to understand that when detecting the temperature of the mobile phone to be tested, it is usually necessary to detect temperature changes on more than one side, for example, it is necessary to detect the side where the display screen is located and the corresponding back side. In some application scenarios, it is also necessary to perform temperature detection on all sides of the mobile phone.

After testing one side and then testing the other side, various methods can be used. For example, the tester can manually turn over the mobile phone to be tested so that the other side can obtain the position of the corresponding image; or on each side of the mobile phone to be tested Both are equipped with infrared thermal imaging cameras. At this time, the corresponding infrared radiation images of each side can be obtained without flipping the mobile phone under test; at the same time, a rotating component can also be set to use the mobile phone under test when it is necessary to detect different sides of the mobile phone under test. The rotation is performed so that the infrared thermal imager can accurately acquire the infrared radiation image of the surface to be tested of the mobile phone to be tested.

S120, calculating the temperature of the sampling area according to the grayscale values of the pixels in the multiple sampling areas on each infrared radiation image and correlating it with the coordinates of the sampling area;

It is easy to understand that when detecting the temperature change of the mobile phone to be tested, it is often necessary to divide the infrared radiation image of the surface to be tested into different areas, sample them separately, define the coordinates of each sampling area, and then perform the detection separately, so as to facilitate the current When the abnormal temperature change of the mobile phone under test is detected, the specific location of the abnormality can be quickly and accurately detected, which is convenient for the research and development personnel to conduct targeted inspection and research.

The number of specific sampling areas can be set according to specific actual needs, and is not limited here.

Optionally, referring further to FIG. 2, step S120 includes:

S121, setting a sampling template on the infrared radiation image that moves relative to the infrared radiation image;

The sampling template that moves relative to the infrared radiation image is set because after the infrared radiation image of the surface to be tested of the mobile phone to be tested is divided into regions, each sampling area needs to be automatically sampled, and the movable sampling template corresponds to each during the process of moving and sampling. sampling area. It is easy to understand that after the sampling of the previous sampling area is completed, the sampling template automatically moves to the next sampling area to continue sampling at a preset time.

The sampling template is specifically moved from left to right and from top to bottom. In other application scenarios, it can also be gradually diffused from the center to the periphery, or each sampling area is numbered, and the sampling template is numbered according to each sampling area Move in the order of and sample one by one.

Obviously, the sampling template not only has the pixel information on the infrared radiation image corresponding to the sampling area, but also has the coordinate information of the corresponding sampling area.

S122. Before or after each movement of the sampling template, extract the gray scale value of each color channel of the pixels in the sampling area overlapping with the sampling template on the infrared radiation image and calculate the gray scale average value of each color channel;

It is easy to understand that on the infrared radiation image, the grayscale values of the color channels of each pixel point are different, and the temperature represented by them is different, wherein the color channels are red, green and blue respectively.

S123, calculate the standard point closest to the grayscale average value of each color channel in the temperature scale through the Euclidean distance, and use the temperature associated with the standard point as the temperature of the sampling area and the coordinates of the infrared radiation image relative to the sampling template when extracting the grayscale value to associate.

Euclidean distance is a commonly used definition of distance, which refers to the real distance between two points in n-dimensional space, or the natural length of a vector (that is, the distance from the point to the origin). The Euclidean distance in 2D and 3D space is the actual distance between two points.

The temperature scale information used in this embodiment is (R, G, B, T), where T represents temperature, R, G, and B are red gray scale value R, green gray scale value G, and blue gray scale value at temperature T b. The temperature range T of the temperature scale is from 0 degrees to 100 degrees, that is, the temperature scales of 0 degrees and 100 degrees are (0, 0, 0, 0), (255, 255, 255, 100), respectively. Set the infrared radiation image acquired by the infrared thermal imager as A, with a size of 200 pixels × 100 pixels. The A image is transmitted to the computer through the data cable, and the filtering, image enhancement and other operations are completed in the computer. Set the sampling area as B, the size is 5 pixels × 5 pixels, the size of the sampling template C is the same as the sampling area, starting from the upper left corner of the infrared radiation image A, set the starting coordinates of the sampling template C as (0, 0) , then the position where the sampling template C is located not only has the pixel information of the infrared radiation image A, but also has the coordinate information of the sampling area B. After acquiring the infrared radiation image of C, calculate the average value S(R ₀ , G ₀ , B ₀ ) of the three color channels of R, G, and B in the corresponding image. Then use the Euclidean distance to find the color information (R, G, B) that is most similar to the average value S in the temperature scale. The temperature T corresponding to the color information is the temperature T ₁ of the area where the image C is located, and then the temperature T ₁ and the position Information (0, 0) is associated and saved. Then the sampling template C is moved one pixel to the right to the coordinate (1, 0), and the temperature T ₂ and position information (1, 0) at C at this time are obtained according to the above steps. Repeat the above steps until the sampling template C moves to the lower right corner of the infrared radiation image A, which is the coordinates (195, 95), analyze and obtain the temperature T ₂₀₀ and position information (195, 95), correlate and save. Certainly, in other embodiments, the size of the infrared radiation image A is not limited to 200 pixels×100 pixels, and the size of the sampling area B may also be 10 pixels×10 pixels, etc., which is not limited here.

S130. Obtain the highest temperature and its associated coordinates from the temperatures of multiple sampling areas of each infrared radiation image;

After the multiple sampling areas of each infrared radiation image are detected and calculated, the temperature corresponding to each sampling area is obtained, and then each highest temperature value is extracted and correlated with the coordinates of the sampling area corresponding to the highest temperature value.

In this embodiment, the temperatures T ₁ to T ₂₀₀ corresponding to the 200 sampling areas in each infrared radiation image are compared, and the maximum value is obtained.

S140, using the maximum temperatures of the multiple infrared radiation images to fit the temperature change curve of the mobile phone to be tested with time.

Optionally, step S140 includes:

Using the maximum temperature of the plurality of infrared radiation images corresponding to the front of the mobile phone to be tested and the maximum temperature of the multiple infrared radiation images corresponding to the back of the mobile phone to be tested, the temperature change curves of the front and back of the mobile phone to be tested with time are respectively fitted.

When temperature detection is required on both the front and back of the mobile phone to be tested, the maximum temperature of multiple infrared radiation images corresponding to the front and back can be obtained according to the above method. changing curves. It is easy to understand that in some application scenarios, the front, back and each side of the mobile phone to be tested need to be detected, and at this time, the maximum temperature of each side changes with time can be fitted separately.

In this embodiment, the corresponding acquisition and analysis operations in this implementation are performed on the infrared radiation image A every 5 minutes. The mobile phone is turned 180 degrees so that the back of the mobile phone is aligned with the infrared thermal imager, and then the infrared radiation image of the back of the mobile phone is acquired and calculated and analyzed. After the back detection is completed, turn over and detect. After two hours of testing, 12 temperature values and corresponding coordinates were obtained for the front and back of the mobile phone, and then each of the 12 temperature values was drawn as a temperature change curve with time as the x-axis and temperature as the y-axis. In other embodiments, the time interval for acquiring the infrared radiation image A can be long or short, such as 8 minutes, 10 minutes, etc., and the test time is not limited to two hours, which can be set by yourself.

Optionally, after step S140, further include:

S150, judging whether the highest temperature point at different times in the temperature change curve is greater than a preset temperature threshold;

The preset temperature threshold usually refers to the maximum value that can be achieved in the temperature detection of the mobile phone, and its value can be set according to the specific situation.

To judge whether the highest temperature point at different times in the temperature change curve is greater than the preset temperature threshold, you can make a preset temperature threshold marking line in the temperature change curve, and then observe the relationship between the two curves.

S160. If it is greater than the temperature threshold, highlight and mark the highest temperature point greater than the temperature threshold in the temperature change curve, extract the highest temperature point greater than the temperature threshold and its corresponding coordinates, and generate a test result.

The highest temperature point greater than the temperature threshold is marked prominently. It is easy to understand that the above temperature point can be marked with a different color, or the font can be enlarged to distinguish it from other temperature points.

Generate test results, that is, judge whether the highest temperature point at different times in the temperature change curve is greater than the preset temperature threshold according to the above results. If there is a temperature point greater than the temperature threshold in the temperature change curve, it means that the test result of the mobile phone is not Qualified, if there is no temperature point greater than the temperature threshold in the temperature change curve, it means that the test result of the mobile phone is qualified.

In this embodiment, the preset threshold temperature marked in the temperature change curve is 45°C. If the temperature change curve contains a temperature exceeding 45°C, it means that the test result is unqualified, and these temperatures are marked in red, and the red marked temperature and the associated coordinates are extracted. If it does not contain a temperature exceeding 45°C, it means that the test result is qualified. In other embodiments, the threshold temperature may also be a temperature other than 45° C., which is not limited here.

Optionally, after step S140, further include:

S170, sending the temperature change curve together with the test results to a designated address by mail.

Set the specified address in advance, and when the test result is obtained, the server and/or processor will automatically send the temperature change curve together with the test result to the specified address by email or other communication means. In an easy-to-understand manner, the above information is sent to the research and development personnel, so that the research and development personnel can do subsequent processing work.

Through the above method, the temperature test can be automatically performed on each sampling area of the mobile phone to be tested, the temperature value and coordinates of each sampling area can be extracted, and analysis and curve fitting can be performed. At the same time, the mobile phone can be turned over automatically during the test process, and finally the temperature change curve and test results are sent to the designated address, and the whole process is carried out automatically without manual intervention.

Please refer to Fig. 2, an embodiment of the mobile phone temperature detection system of the present invention includes: a test platform 21, an infrared imager 22 and a central control device 23, wherein the test platform 21 is used to support the mobile phone to be tested, and the infrared imager 22 is used to obtain the mobile phone to be tested. Measure the infrared radiation images of the mobile phone at different moments in the running state and convert them into infrared radiation images. The central control device 23 is used to obtain the infrared radiation images through the connection with the infrared imager 22, and according to the multiple infrared radiation images on each infrared radiation image Calculate the temperature of the sampling area from the grayscale value of the pixels in the sampling area and associate it with the coordinates of the sampling area, obtain the highest temperature and its associated coordinates from the temperatures of multiple sampling areas of each infrared radiation image, and further The maximum temperature of multiple infrared radiation images is used to fit the temperature change curve of the mobile phone under test with time.

In some application scenarios, one central control device 23 corresponds to multiple mobile phones to be tested, and the central control device 23 can be distinguished by the unique identification number of the mobile phone to be tested, such as the International Mobile Equipment Identity Code, so that the same central control device 23 can simultaneously Test multiple mobile phones under test without interfering with each other.

Optionally, an embodiment of the mobile phone temperature detection system of the present invention further includes a rotating assembly 24, and the central control device 23 controls the rotating assembly 24 to rotate the test platform 21 and the mobile phone to be tested supported on the test platform 21, so that the infrared imager 22 can Obtain the infrared radiation images of the front and back of the mobile phone to be tested at different times, and the central control device 23 uses the maximum temperature of the multiple infrared radiation images corresponding to the front of the mobile phone to be tested and the maximum temperature of the multiple infrared radiation images corresponding to the back of the mobile phone to be tested The temperature change curves of the front and back of the mobile phone to be tested are respectively fitted with time.

Optionally, the central control device 23 is further configured to send a control instruction to the mobile phone under test, so that the mobile phone under test is in a running state. Wherein, the central control device 23 specifically includes a server and/or a processor.

Optionally, an embodiment of the mobile phone temperature detection system of the present invention further includes a display 25, which is used to display the infrared radiation image of the mobile phone to be tested, and the temperature change curves of the front and back of the mobile phone to be tested over time.

Through the above-mentioned device, the mobile phone can be turned over automatically during the test process, and image acquisition and analysis can be performed automatically, so as to realize the automatic operation of the whole process. At the same time, multiple mobile phones can be connected to one central control device at the same time to realize simultaneous testing of multiple mobile phones without interfering with each other, thereby improving test efficiency.

The above is only the embodiment of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process conversion made by using the description of the present invention and the contents of the accompanying drawings, or directly or indirectly used in other related technical fields, All are included in the scope of patent protection of the present invention in the same way.

Claims (9)

1. a kind of mobile phone temp detection method characterized by comprising

Obtain the infrared radiation images of the different moments of mobile phone to be measured under operation；

The sample region is calculated according to the grayscale value of the pixel in multiple sampling areas on each infrared radiation images The temperature in domain is simultaneously associated with the coordinate of the sampling area；

Maximum temperature and its associated coordinate are obtained from the temperature of multiple sampling areas of each infrared radiation images；

The temperature variation curve of the mobile phone to be measured at any time is fitted using the maximum temperature of multiple infrared radiation images；

Wherein, the grayscale value of the pixel in multiple sampling areas according on each infrared radiation images calculates institute It states the temperature of sampling area and includes: the step of being associated with the coordinate of the sampling area

The sampling template mobile relative to the infrared radiation images of setting one on the infrared radiation images；

The sampling template it is each it is mobile before or after moving, extract on the infrared radiation images with the sampling template weight The grayscale value of each Color Channel of the pixel in the sampling area closed and the grey scale average value for calculating each Color Channel；

Standard point nearest with the grey scale average value of each Color Channel in temperature scale is calculated by Euclidean distance, by the mark Temperature and with when extracting the grayscale value described sampling template opposite institute of the on schedule associated temperature as the sampling area The coordinate for stating infrared radiation images is associated.

2. the method according to claim 1, wherein when the difference for obtaining mobile phone to be measured under operation The step of infrared radiation images at quarter includes:

It overturns the mobile phone to be measured and then to obtain the front and back of the mobile phone to be measured respectively described infrared in different moments Radiation image；

The maximum temperature using multiple infrared radiation images fits the temperature change of the mobile phone to be measured at any time The step of curve includes:

Corresponding to the maximum temperature of multiple infrared radiation images and the back side corresponding to front using the mobile phone to be measured The maximum temperatures of multiple infrared radiation images fit the temperature of the front and back of the mobile phone to be measured at any time respectively Spend change curve.

3. the method according to claim 1, wherein the method further includes:

Judge whether the maximum temperature point of the different moments in the temperature variation curve is greater than preset temperature threshold；

If more than the temperature threshold, then it will be greater than the maximum temperature of the temperature threshold in the temperature variation curve Point carries out prominent label, extracts the maximum temperature point and its corresponding coordinate for being greater than the temperature threshold, and generate test As a result.

4. according to the method described in claim 3, it is characterized in that, the method further includes:

The temperature variation curve is sent to specified address together with the test result with mail he.

5. a kind of mobile phone temp detection system, which is characterized in that including test platform, infrared thermoviewer and control device, Described in test platform be used to support mobile phone to be measured, the infrared thermoviewer is for obtaining mobile phone to be measured under operation not Infrared radiation images in the same time, the control device are used for according to multiple sampling areas on each infrared radiation images The grayscale value of interior pixel calculates the temperature of the sampling area and is associated with the coordinate of the sampling area, from each Maximum temperature and its associated coordinate are obtained in the temperature of multiple sampling areas of the infrared radiation images, and further benefit The temperature variation curve of the mobile phone to be measured at any time is fitted with the maximum temperature of multiple infrared radiation images；

Wherein, the control device realize in the following manner the temperature for calculating the sampling area and with the sampling area Coordinate is associated, and the mode includes:

The sampling template mobile relative to the infrared radiation images of setting one on the infrared radiation images；

The sampling template it is each it is mobile before or after moving, extract on the infrared radiation images with the sampling template weight The grayscale value of each Color Channel of the pixel in the sampling area closed and the grey scale average value for calculating each Color Channel；

Standard point nearest with the grey scale average value of each Color Channel in temperature scale is calculated by Euclidean distance, by the mark Temperature and with when extracting the grayscale value described sampling template opposite institute of the on schedule associated temperature as the sampling area The coordinate for stating infrared radiation images is associated.

6. system according to claim 5, which is characterized in that the system further comprises rotary components, the middle control Device controls the mobile phone to be measured that the rotary components rotate the test platform and are supported on the test platform, with The infrared thermoviewer is enabled to obtain the infra-red radiation figure of the front and back in different moments of the mobile phone to be measured Picture, the control device using the mobile phone to be measured front corresponding to multiple infrared radiation images maximum temperature and The maximum temperature of multiple infrared radiation images corresponding to the back side fits the front and back of the mobile phone to be measured respectively Temperature variation curve at any time.

7. system according to claim 5, which is characterized in that

The control device is further used for sending control instruction to the mobile phone to be measured, so that the mobile phone to be measured is in operation State.

8. system according to claim 5, which is characterized in that the control device includes server and/or processor.

9. according to the described in any item systems of claim 5 to 8, which is characterized in that it further comprise display, the display Infrared radiation images and the front and back temperature at any time of the mobile phone to be measured for showing the mobile phone to be measured become Change curve.