Method for detecting position of in-tube temperature sensor chip

Abstract

The invention relates to the technical field of position detection, in particular to a method for detecting the position of an in-tube temperature sensor chip, and the method comprises the steps: obtaining sensor parameter information and detection parameter information corresponding to a to-be-detected temperature sensor; determining a maximum temperature rise amplitude value based on the sensor parameter information and the detection parameter information; controlling the to-be-detected temperature sensor to move along the preset heat source direction based on the detection moving speed, and recording the real-time detection temperature corresponding to each moment in the moving process; and based on the maximum temperature rise amplitude value and the real-time detection temperature corresponding to each moment in the moving process, the position of the in-pipe temperature sensor chip is determined, and the change amplitude value of the real-time detection temperature corresponding to the position of the in-pipe temperature sensor chip is not lower than the maximum temperature rise amplitude value. According to the invention, the temperature sensor chip can be accurately positioned, so that the accuracy of temperature measurement can be improved.

Description

Technical Field

[0001] This application relates to the technical field of position detection, and in particular, to a method for detecting the position of a temperature sensor chip in a pipe. Background Art

[0002] In industrial production, especially in the field of temperature monitoring of high-temperature equipment such as boilers, the accuracy and reliability of temperature sensors are crucial. Common temperature sensors applied to boilers are generally composed of a thermistor placed inside a metal tube. This design aims to monitor the medium temperature in real time through the thermistor. This temperature sensing is usually achieved by manually placing the thermistor into the metal tube. As the carrier of the temperature sensor, the metal tube is usually designed to be relatively long to meet the requirements of different application scenarios. However, this design also brings challenges in installation.

[0003] Due to the relatively narrow internal space of the metal tube and the small volume of the thermistor, it is often difficult to ensure that the thermistor probe of the thermistor can fully contact the bottom of the metal tube during manual operation. Once the thermistor probe fails to make full contact with the bottom of the metal tube, the temperature it senses may deviate from the actual medium temperature. This deviation may be due to the air gap between the probe and the bottom of the metal tube, which will cause uneven heat transfer and thus affect the accuracy of temperature measurement. Summary of the Invention

[0004] In order to facilitate the accurate positioning of the temperature sensor chip, that is, the position of the thermistor probe of the thermistor in the metal tube, so as to improve the accuracy of temperature measurement, this application provides a method for detecting the position of a temperature sensor chip in a pipe.

[0005] In a first aspect, this application provides a method for detecting the position of a temperature sensor chip in a pipe, adopting the following technical solution: A method for detecting the position of a temperature sensor chip in a pipe includes: Obtaining sensor parameter information and detection parameter information corresponding to the temperature sensor to be detected, where the sensor parameter information includes thermistor coefficient, metal thermal conductivity, metal tube wall thickness, metal density, and metal specific heat capacity, and the detection parameter information includes detection moving speed and heat source temperature; Determining the maximum temperature rise amplitude value based on the sensor parameter information and the detection parameter information; Controlling the temperature sensor to be detected to move along the preset heat source direction based on the detection moving speed, and recording the real-time detection temperature corresponding to each moment during the movement; Based on the maximum temperature rise value and the real-time detected temperature corresponding to each moment during the movement, determine the location of the in-tube temperature sensor chip, where the change amplitude value of the real-time detected temperature corresponding to the location of the in-tube temperature sensor chip is not lower than the maximum temperature rise value.

[0006] By adopting the above technical solution, through comprehensive analysis of the sensor parameter information and the detection parameter information, it is convenient to more accurately simulate and predict the temperature change behavior of the temperature sensor during the heating process. That is, the maximum temperature rise value determined based on these parameters is convenient to provide a targeted temperature rise benchmark for subsequent real-time detected temperature analysis. Compared with using a fixed temperature rise value to judge whether the sensor chip is close to the preset heat source, this way of providing a targeted temperature rise benchmark is convenient to significantly improve the accuracy of detecting the location of the sensor chip. In addition, by controlling the temperature sensor to be detected to move along the direction of the preset heat source and recording the real-time detected temperature at each moment, it is convenient to comprehensively and real-time detect each position in the metal tube corresponding to the temperature sensor to be detected. Even if the sensor chip is not at the bottom of the metal tube, through the way of real-time detecting and recording each position, it is also convenient to locate the location of the sensor chip in time, so as to improve the accuracy of temperature measurement.

[0007] In a possible implementation manner, the determining the maximum temperature rise value based on the sensor parameter information and the detection parameter information includes: Based on the metal thermal conductivity, the metal tube wall thickness, the metal density, and the metal specific heat capacity, determine the heat diffusion duration corresponding to the preset heat source in the metal tube wall of the temperature sensor to be detected; Based on the detection moving speed and the heat source temperature, determine the heat absorbed by the metal tube wall of the temperature sensor to be detected; Based on the heat diffusion duration, the absorbed heat, and the metal specific heat capacity, determine the maximum temperature rise value.

[0008] By adopting the above technical solution, by comprehensively considering multiple factors such as metal thermal conductivity, metal tube wall thickness, metal density, and metal specific heat capacity, it is convenient to more accurately predict the heat diffusion duration of the heat source in the metal tube wall. And by combining the detection moving speed and the heat source temperature, it is convenient to determine the specific situation of the heat absorbed by the metal tube wall of the temperature sensor to be detected during the movement. Based on the comprehensive analysis of the heat diffusion duration, the absorbed heat, and the metal specific heat capacity, it is convenient to improve the accuracy of the calculated maximum temperature rise value.

[0009] In a possible implementation manner, the method further includes: Generate a real-time temperature line chart based on the real-time detected temperature corresponding to each moment during the movement; After determining the location of the in-tube temperature sensor chip, identify the target line position corresponding to the location from the real-time temperature line graph; Based on the target line position, determine the observed line area. If the change amplitude value of any real-time detected temperature in the observed line area is lower than the maximum temperature rise amplitude value, generate a detection stop instruction to stop the movement of the temperature sensor to be detected.

[0010] By adopting the above technical solution, by recording the real-time detected temperature corresponding to each moment during the movement and generating a real-time temperature line graph, it is convenient to intuitively display the change trend of the real-time detected temperature with the detection time. The real-time temperature line graph helps to identify abnormal points or mutation points of temperature change, thereby facilitating the improvement of the accuracy when determining the location of the in-tube temperature sensor chip. In addition, after determining the location of the in-tube temperature sensor chip, the movement detection operation is not immediately stopped, but by analyzing the change of the newly collected real-time detected temperature in the future for a period of time to verify whether the determined location of the in-tube temperature sensor chip is correct. By adding a verification link, it is convenient to improve the accuracy when determining the location of the in-tube temperature sensor chip.

[0011] In a possible implementation manner, the method further includes: If the location of the in-tube temperature sensor chip is not determined based on the maximum temperature rise amplitude value and the real-time detected temperature, determine the abnormal temperature trend line from the real-time temperature line graph; Determine the historical temperature trend line corresponding to the associated temperature sensor from the historical detection data, where the associated temperature sensor and the temperature sensor to be detected have at least one same basic parameter; Match the abnormal temperature trend line with the historical temperature trend line to obtain a trend matching value. When the trend matching value is lower than the preset matching threshold, generate an offset warning.

[0012] By adopting the above technical solution, by calculating the matching value between the abnormal temperature trend line and the historical temperature trend line, when the matching value is lower than the preset matching threshold, generate an offset warning. This warning mechanism can timely detect the offset of the temperature sensor chip and avoid measurement errors and faults caused by the offset.

[0013] In a possible implementation manner, after determining the maximum temperature rise amplitude value based on the sensor parameter information and the detection parameter information, the method further includes: Obtain the real-time ambient temperature. When the temperature difference between the real-time ambient temperature and the heat source temperature is less than the preset maximum temperature rise amplitude value, based on the mapping relationship between the real-time ambient temperature and the preset adjustment value, determine the amplitude adjustment value corresponding to the real-time ambient temperature; Optimize the maximum temperature rise value based on the amplitude adjustment value.

[0014] By adopting the above technical solution, by comparing the obtained real-time ambient temperature with the heat source temperature, it is convenient to dynamically adjust the maximum temperature rise value, thereby facilitating the reduction of measurement errors caused by ambient temperature fluctuations.

[0015] In a possible implementation manner, if the location of the in-pipe temperature sensor chip is not determined within a preset time period, the method further includes: Based on the real-time detection temperatures corresponding to each moment within the preset time period, determine the temperature growth trend and the adjacent temperature difference value corresponding to the preset time period, where the adjacent temperature difference value is the difference between the real-time detection temperature corresponding to the end moment within the preset time period and the maximum temperature rise value; Based on the temperature growth trend and the adjacent temperature difference value, determine a speed adjustment value to adjust the detection moving speed.

[0016] By adopting the above technical solution, based on the temperature growth trend and the adjacent temperature difference value, it is convenient to understand the requirements of the current temperature measurement state for the detection moving speed, thereby facilitating the dynamic adjustment of the detection speed. By dynamically adjusting the detection moving speed, it is convenient to ensure the improvement of the detection efficiency while maintaining the measurement accuracy.

[0017] In a second aspect, the present application provides an electronic device, adopting the following technical solution: An electronic device, the electronic device includes: At least one processor; A memory; At least one application program, where the at least one application program is stored in the memory and is configured to be executed by at least one processor, and the at least one application program is configured to: execute the above method for detecting the location of the in-pipe temperature sensor chip.

[0018] In a third aspect, the present application provides a computer-readable storage medium, adopting the following technical solution: A computer-readable storage medium, including: a computer program stored with the ability to be loaded and executed by a processor to execute the above method for detecting the location of the in-pipe temperature sensor chip.

[0019] In a fourth aspect, the present application provides a computer program product, adopting the following technical solution: A computer program product, including a computer program, where the computer program, when executed by a processor, implements the above method for detecting the location of the in-pipe temperature sensor chip.

[0020] In summary, the present application includes at least one of the following beneficial technical effects: By comprehensively analyzing the sensor parameter information and the detection parameter information, it is convenient to more accurately simulate and predict the temperature change behavior of the temperature sensor during the heating process. That is, the maximum temperature rise amplitude value determined based on these parameters is convenient to provide a targeted temperature rise benchmark for subsequent real-time temperature detection analysis. Compared with using a fixed temperature rise amplitude value to determine whether the sensor chip is close to the preset heat source, this way of providing a targeted temperature rise benchmark is convenient to significantly improve the accuracy of detecting the position where the sensor chip is located. In addition, by controlling the temperature sensor to be detected to move along the direction of the preset heat source and recording the real-time detected temperature at each moment, it is convenient to comprehensively and real-time detect each position in the metal tube corresponding to the temperature sensor to be detected. Even if the sensor chip is not at the bottom of the metal tube, by means of real-time detection and recording of each position, it is also convenient to quickly locate the position where the sensor chip is located, thereby facilitating the improvement of the accuracy of temperature measurement.

[0021] By comprehensively considering multiple factors such as metal thermal conductivity, metal tube wall thickness, metal density, and metal specific heat capacity, it is convenient to more accurately predict the heat diffusion duration of the heat source in the metal tube wall. And, by combining the detection moving speed and the heat source temperature, it is convenient to determine the specific heat absorption situation of the metal tube wall of the temperature sensor to be detected during the movement. Based on the comprehensive analysis of the heat diffusion duration, heat absorption, and metal specific heat capacity, it is convenient to improve the accuracy of the calculated maximum temperature rise amplitude value. Description of the Drawings

[0022] Figure 1 is a schematic flowchart of a method for detecting the position of a temperature sensor chip in a tube in an embodiment of the present application; Figure 2 is a schematic diagram of a real-time temperature line graph in an embodiment of the present application; Figure 3 is a schematic structural diagram of an electronic device in an embodiment of the present application. Detailed Embodiments

[0023] The following is a further detailed description of the present application in conjunction with the attached Figures 1 to 3 to further illustrate the present application.

[0024] Those skilled in the art can make modifications to this embodiment without creative contributions according to needs after reading this specification, but as long as they are within the scope of the claims of the present application, they are protected by the patent law.

[0025] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of this application. Apparently, the described embodiments are some but not all of the embodiments of this application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this application without creative efforts shall fall within the scope of protection of this application.

[0026] It should be noted that in the optional embodiments of this application, for relevant data such as object information, when the embodiments in this application are applied to specific products or technologies, object permission or consent is required, and the collection, use, and processing of relevant data need to comply with relevant laws, regulations, and standards of relevant countries and regions. That is to say, if the embodiments of this application involve data related to an object, it needs to be obtained under the authorization and consent of the object, the authorization and consent of relevant departments, and compliance with relevant laws, regulations, and standards of relevant countries and regions. In the embodiments, if personal information is involved, the acquisition of all personal information requires the consent of the individual. If sensitive information is involved, the separate consent of the information subject needs to be obtained, and the embodiments also need to be implemented under the authorization and consent of the object.

[0027] Specifically, the embodiments of this application provide a method for detecting the location of a temperature sensor chip in a pipe, which is executed by an electronic device. The electronic device can be a server or a terminal device. Among them, the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a notebook computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected through wired or wireless communication methods, and this application does not limit this here.

[0028] Reference Figure 1 , Figure 1 is a flowchart of a method for detecting the location of a temperature sensor chip in a pipe in the embodiments of this application. The method includes steps S110 to S140, where: Step S110: Obtain the sensor parameter information and detection parameter information corresponding to the temperature sensor to be detected. The sensor parameter information includes the thermistor coefficient, metal thermal conductivity, metal pipe wall thickness, metal density, and metal specific heat capacity. The detection parameter information includes the detection moving speed and the heat source temperature.

[0029] Specifically, the temperature sensor to be detected is the sensor for which the chip position needs to be determined. When detecting the position of the temperature sensor chip inside the tube, the temperature sensor to be detected is mainly moved to gradually approach the preset heat source, and then by observing the change in the resistance value of any thermistor in the temperature sensor to be detected or other relevant reaction parameters, the position of the temperature sensor chip to be detected is determined. In addition to considering the stability of the preset heat source and the sensitivity of the thermistor, the sensor parameter information that may directly affect the performance of the temperature sensor and the accuracy of the detection result also needs to be considered. The sensor parameter information includes but is not limited to the thermistor coefficient, metal thermal conductivity, metal tube wall thickness, metal density, and metal specific heat capacity. Among them, the thermistor coefficient determines the speed at which the resistance value changes with temperature, and different thermistor coefficients also affect the measurement range of the temperature sensor. For example, in a specific application scenario, selecting an appropriate thermistor coefficient can ensure that the temperature sensor to be detected provides accurate measurements within the required temperature range; the metal thermal conductivity determines the heat propagation speed inside the metal, and a metal tube with high metal thermal conductivity can quickly transfer heat from the sensor chip to the outside of the tube wall; the metal tube wall thickness has an important impact on heat transfer. A thicker metal tube wall will increase the resistance to heat transfer, making it difficult for the heat absorbed by the temperature sensor chip to be detected to be transferred to the outside of the metal tube wall; the metal density is related to its heat capacity. A metal tube with a larger metal density has a larger heat capacity and can absorb more heat without significantly increasing the temperature; the metal specific heat capacity determines the amount of heat required for a unit mass of a substance to increase or decrease a certain temperature. The smaller the metal specific heat capacity, the less heat is required for a unit mass of metal to change temperature.

[0030] The detection moving speed is the moving speed of the temperature sensor to be detected when approaching the preset heat source, which can be determined in advance by relevant staff according to historical experimental data or actually measured during the moving process. The specific acquisition method is not specifically limited in the embodiments of the present application. The preset heat source can be a constant temperature heater, a heating plate, a heating wire, or a laser. The specific preset heat source is not specifically limited in the embodiments of the present application, as long as the preset heat source can continuously provide stable heat. The heat source temperature of the heat generated by the preset heat source per unit time can be uploaded to the electronic device in advance by relevant staff according to the actual situation.

[0031] Step S120: Determine the maximum temperature rise amplitude value based on the sensor parameter information and the detection parameter information.

[0032] Specifically, when the temperature sensor to be detected is close to the preset heat source, due to heat transfer methods such as metal heat conduction, heat convection, or heat radiation, the sensor chip will quickly absorb heat and cause its temperature to rise. Therefore, the maximum temperature rise value can be determined by comprehensively analyzing the sensor parameter information and the detection parameter information, and the relative position between the sensor chip to be detected and the preset heat source can be analyzed and determined based on the maximum temperature rise value. The maximum temperature rise value corresponding to the sensor parameter information and the detection parameter information can be determined based on the model simulation method. Specifically, a sensor model corresponding to the temperature sensor to be detected can be established first using a preset mathematical software or simulation tool, and then the sensor parameter information and the detection parameter information are input into the sensor model. The sensor model determines the maximum temperature rise value of the temperature sensor to be detected when it is close to the preset heat source. The specific sensor model training method, the specific preset mathematical software or simulation tool are not specifically limited in the embodiments of the present application. In addition to determining the maximum temperature rise value corresponding to the sensor parameter information and the detection parameter information based on the model simulation, it can also be determined according to the calculation formula provided in the present application, which specifically includes: Based on the metal thermal conductivity, the metal pipe wall thickness, the metal density, and the metal specific heat capacity, determine the heat diffusion duration corresponding to the preset heat source in the metal pipe wall of the temperature sensor to be detected; based on the detection moving speed and the heat source temperature, determine the heat absorbed by the metal pipe wall of the temperature sensor to be detected; based on the heat diffusion duration, the absorbed heat, and the metal specific heat capacity, determine the maximum temperature rise value.

[0033] Specifically, the metal thermal conductivity, the metal pipe wall thickness, the metal density, and the metal specific heat capacity can be introduced into the heat diffusion duration calculation formula. The heat diffusion duration calculation formula is as follows: ; where τ is the heat diffusion duration; t is the metal pipe wall thickness; k is the metal thermal conductivity; ρ is the metal density; C is the metal specific heat capacity.

[0034] The heat diffusion duration is the time required for the heat provided by the preset heat source to diffuse in the metal pipe wall. After determining the heat diffusion duration, the distance that the temperature sensor to be detected moves within the heat diffusion duration can be determined based on the detection moving speed. It can be calculated based on the distance calculation formula d = v * τ, where d is the distance that the temperature sensor to be detected moves within the heat diffusion duration, and v is the detection moving speed. After determining the distance that the temperature sensor to be detected moves within the heat diffusion duration, the heat absorbed by the metal pipe wall of the temperature sensor to be detected can be determined based on the heat source temperature of the preset heat source, the distance that the temperature sensor to be detected moves within the heat diffusion duration, the detection moving speed, and the heat absorption calculation formula. The heat absorption calculation formula is ; wherein, Q is the heat absorbed by the metal tube wall of the temperature sensor to be detected; T is the heat source temperature of the preset heat source.

[0035] Finally, the maximum temperature rise value can be calculated according to the heat diffusion duration, the absorbed heat, the specific heat capacity of the metal, the mass within the distance moved by the sensor to be detected during the heat diffusion duration, and the maximum temperature rise value calculation formula. The maximum temperature rise value calculation formula can be: ; wherein, △T is the maximum temperature rise value; m is the mass within the distance moved by the sensor to be detected during the heat diffusion duration.

[0036] By comprehensively considering multiple factors such as the metal thermal conductivity, the metal tube wall thickness, the metal density, and the specific heat capacity of the metal, it is convenient to more accurately predict the heat diffusion duration of the heat source in the metal tube wall. And by combining the detection moving speed and the heat source temperature, it is convenient to determine the specific situation of the heat absorbed by the metal tube wall of the temperature sensor to be detected during the movement. Based on the comprehensive analysis of the heat diffusion duration, the absorbed heat, and the specific heat capacity of the metal, it is convenient to improve the accuracy of the calculated maximum temperature rise value.

[0037] Step S130: Control the temperature sensor to be detected to move along the direction of the preset heat source based on the detection moving speed, and record the real-time detection temperature corresponding to each moment during the movement.

[0038] Specifically, a temperature sensor detection device can be used to check the position where the temperature sensor chip to be detected is located. The temperature sensor detection device should at least include a clamping and moving component for clamping the temperature sensor to be detected; it should include a temperature display screen for displaying the heat source temperature sensed by the thermistor. Among them, the heat source temperature is obtained after conversion from the resistance value of the thermistor. The specific detection device is not specifically limited in the embodiments of the present application. Control the temperature sensor to be detected to move along the direction of the preset heat source based on the detection moving speed, that is, control the clamping and moving component to move along the set position direction of the preset heat source according to the detection moving speed. At the same time, it is necessary to record the real-time detection temperature collected at each moment.

[0039] Step S140: Determine the position where the in-tube temperature sensor chip is located based on the maximum temperature rise value and the real-time detection temperature corresponding to each moment during the movement. The change amplitude value of the real-time detection temperature corresponding to the position where the in-tube temperature sensor chip is located is not lower than the maximum temperature rise value.

[0040] Specifically, since the thermistor in the temperature sensor to be detected may not be at the bottom of the metal tube, it is necessary to move the temperature sensor to be detected and record in real time the change in the resistance value, that is, the temperature change, of different parts of the temperature sensor to be detected when approaching the preset heat source. If the change amplitude value of the temperature collected by the temperature sensor detection device at position a of the metal tube is not lower than the maximum heating amplitude value when approaching the preset heat source, at this time, it can be determined that position a is the position where the thermistor is located, that is, the position where the temperature sensor chip in the tube is located.

[0041] For the embodiments of the present application, by comprehensively analyzing the sensor parameter information and the detection parameter information, it is convenient to more accurately simulate and predict the temperature change behavior of the temperature sensor during the heating process, that is, the maximum heating amplitude value determined based on these parameters is convenient to provide a targeted heating benchmark for the subsequent real-time temperature detection analysis. Compared with using a fixed heating amplitude value to determine whether the sensor chip is close to the preset heat source, this way of providing a targeted heating benchmark is convenient to significantly improve the accuracy of detecting the position where the sensor chip is located. In addition, by controlling the temperature sensor to be detected to move along the direction of the preset heat source and recording the real-time detected temperature at each moment, it is convenient to comprehensively and real-time detect each position in the corresponding metal tube of the temperature sensor to be detected. Even if the sensor chip is not at the bottom of the metal tube, by means of real-time detection and recording of each position, it is also convenient to quickly locate the position where the sensor chip is located, thereby facilitating the improvement of the accuracy of temperature measurement.

[0042] Furthermore, in order to facilitate improving the accuracy of determining the position of the temperature sensor chip in the tube, the method provided by the embodiments of the present application further includes: Generating a real-time temperature line graph based on the real-time detected temperature corresponding to each moment during the movement; after determining the position where the temperature sensor chip in the tube is located, identifying the target line position corresponding to the position from the real-time temperature line graph; determining an observation line area based on the target line position. If the change amplitude value of any real-time detected temperature in the observation line area is lower than the maximum heating amplitude value, a detection stop instruction is generated to stop the movement of the temperature sensor to be detected.

[0043] Specifically, it is possible to record the real-time detected temperature corresponding to each moment during the movement of the temperature sensor to be detected, and import the real-time detected temperature corresponding to each moment into a preset line chart to obtain a real-time temperature line chart. As the real-time detected temperature corresponding to each moment is updated, the real-time temperature line chart will also be updated accordingly. Since the temperature corresponding to the location where the temperature sensor chip in the pipe is located may increase significantly until the change amplitude value is not lower than the maximum heating amplitude value, therefore, when determining the location where the temperature sensor chip in the pipe is located, the target line position corresponding to the location can be identified from the real-time temperature line chart. It is also possible to identify the target line position corresponding to the location from the real-time temperature line chart by identifying the data peak after the temperature sensor to be detected completes the detection. The specific identification method is not specifically limited in the embodiments of the present application. The target line position is the position where the real-time detected temperature corresponding to the moment when the location where the temperature sensor chip in the pipe is located is determined in the real-time temperature line chart. By recording the real-time detected temperature corresponding to each moment during the movement and generating a real-time temperature line chart, it is convenient to intuitively display the change trend of the real-time detected temperature with the detection time. The real-time temperature line chart helps to identify abnormal points or mutation points in the temperature change, thereby facilitating the improvement of the accuracy when determining the location where the temperature sensor chip in the pipe is located.

[0044] Observe that the data axis corresponding to the line chart area is the data axis corresponding to a period of time after determining the location where the temperature sensor chip in the pipe is located, such as Figure 2 shown. The duration of observing the data axis corresponding to the line chart area can be 30 seconds or 45 seconds. The specific duration is not specifically limited in the embodiments of the present application and can be determined by relevant staff according to the detection movement speed. By analyzing the change of the newly collected real-time detected temperature in the future period of time to verify whether the determined location where the temperature sensor chip in the pipe is located is correct. When the change amplitude value of any real-time detected temperature in the observed line chart area is lower than the maximum heating amplitude value, it can be determined that the currently determined location where the temperature sensor chip in the pipe is located is correct, and at this time, the detection operation can be stopped. The generated detection stop instruction is used to control the clamping and moving component to stop moving.

[0045] Furthermore, in order to avoid measurement errors and failures caused by deviation, the method provided in the embodiments of the present application further includes: If the location where the temperature sensor chip in the pipe is located cannot be determined based on the maximum heating amplitude value and the real-time detected temperature, then determine the abnormal temperature trend line from the real-time temperature line chart; determine the historical temperature trend line corresponding to the associated temperature sensor from the historical detection data, and the associated temperature sensor and the temperature sensor to be detected have at least one same basic parameter; match the abnormal temperature trend line with the historical temperature trend line to obtain a trend matching value, and generate an offset warning when the trend matching value is lower than the preset matching threshold.

[0046] Specifically, when the location of the in-pipe temperature sensor chip cannot be determined based on the maximum temperature rise value and the real-time detected temperature, it indicates that during the entire movement of the temperature sensor to be detected near the preset heat source, there is no moment when the change amplitude value of the real-time detected temperature is not lower than the maximum temperature rise value. That is, at each position of the temperature sensor to be detected when facing the preset heat source, the change amplitude value of the real-time detected temperature does not reach above the maximum temperature rise value. At this time, it is necessary to analyze all the real-time detected temperatures measured during the entire movement process to determine whether there is an offset of the thermistor in the temperature sensor to be detected.

[0047] The position where the real-time detected temperature corresponds to each moment can be identified from the real-time temperature line graph, and the positions corresponding to each real-time detected temperature are connected to obtain an abnormal temperature trend line. The method for determining the abnormal temperature trend line is not specifically limited in the embodiments of the present application. The historical detection data includes the detection data of each temperature sensor to be detected within a historical time period. At least one basic parameter corresponding to the temperature sensor to be detected is identified. The basic parameter can be a model, a production batch, a processing batch, etc. Based on at least one basic parameter, an associated temperature sensor having at least one same basic parameter as the temperature sensor to be detected and the historical temperature trend line corresponding to the associated temperature sensor are determined from the historical detection data. The method for determining the historical temperature trend line can refer to the method for determining the abnormal temperature trend line in the above embodiments and will not be elaborated here.

[0048] By calculating the matching value between the abnormal temperature trend line and the historical temperature trend line, an offset warning is generated when the matching value is lower than the preset matching threshold. This warning mechanism can timely detect the offset of the temperature sensor chip and avoid measurement errors and failures caused by the offset. Specifically, the preset matching threshold can be 85% or 90%. The specific value is not specifically limited in the embodiments of the present application and can be determined by relevant staff based on historical experimental data and then uploaded to the electronic device.

[0049] Further, after determining the maximum temperature rise value based on the sensor parameter information and the detection parameter information, it further includes: Obtain the real-time ambient temperature. When the temperature difference between the real-time ambient temperature and the heat source temperature is less than the preset maximum temperature rise value, based on the mapping relationship between the real-time ambient temperature and the preset adjustment value, determine the amplitude adjustment value corresponding to the real-time ambient temperature; optimize the maximum temperature rise value based on the amplitude adjustment value.

[0050] Specifically, during the process of determining the location of the temperature sensor chip, the influence of surrounding environmental factors on the temperature detection result should also be considered. For example, environmental temperature fluctuations, thermal radiation, etc. may cause deviations in the measurement of the detected temperature. Therefore, when the temperature difference between the real-time environmental temperature and the heat source temperature is less than the preset maximum temperature rise value, it is necessary to appropriately correct or adjust the maximum temperature rise value. Among them, when the temperature difference between the real-time environmental temperature and the heat source temperature is not less than the preset maximum temperature rise value, the influence of surrounding environmental factors on the temperature detection result can be ignored.

[0051] When the temperature difference between the real-time environmental temperature and the heat source temperature is less than the preset maximum temperature rise value, the amplitude adjustment value corresponding to the real-time environmental temperature at the current moment can be determined based on the preset adjustment value mapping relationship. Among them, the preset adjustment value mapping relationship includes the amplitude adjustment values corresponding to different environmental temperatures, and the specific content is not specifically limited in the embodiments of the present application. After determining the amplitude adjustment value, the determined maximum temperature rise value can be optimized based on the amplitude adjustment value, and by dynamically adjusting the maximum temperature rise value, it is convenient to reduce the measurement deviation caused by environmental temperature fluctuations.

[0052] Furthermore, in order to ensure the measurement accuracy while improving the detection efficiency, if the location of the in-pipe temperature sensor chip has not been determined within a preset time period, the method provided in the embodiments of the present application further includes: Based on the real-time detection temperatures corresponding to each moment within the preset time period, determine the temperature growth trend and the adjacent temperature difference value corresponding to the preset time period. The adjacent temperature difference value is the difference between the real-time detection temperature corresponding to the end moment within the preset time period and the maximum temperature rise value; adjust the detection moving speed based on the temperature growth trend and the adjacent temperature difference value.

[0053] Specifically, the preset time period is a period of time from the start of the moving detection to before the location of the in-pipe temperature sensor chip is determined. The duration corresponding to the preset time period is not specifically limited in the embodiments of the present application and can be set by relevant staff. The real-time detection temperature differences between all adjacent detection points can be added up, and then divided by the total duration between the detection points to obtain the temperature growth trend. Through the temperature growth trend, it can be judged whether the real-time detection temperatures at each moment within the preset time period show an upward trend or a downward trend over time. The specific method for determining the temperature growth trend is not specifically limited in the embodiments of the present application and can be determined by relevant staff based on historical experimental data and then uploaded to the electronic device. The adjacent temperature difference value is the difference between the real-time detection temperature corresponding to the end moment within the preset time period and the maximum temperature rise value. For example, if the preset time period is from 10:00 to 10:05, the adjacent temperature difference value is the difference between the real-time detection temperature corresponding to 10:05 and the maximum temperature rise value.

[0054] Based on the temperature growth trend and the adjacent temperature difference value, it is convenient to understand the requirement of the current temperature measurement state for the detection moving speed, so as to facilitate the dynamic adjustment of the detection speed. For example, when the temperature growth trend is a downward trend and the adjacent temperature difference value is lower than the preset difference threshold, the detection speed can be appropriately increased to improve the detection efficiency; while when the temperature growth trend is an upward trend and the adjacent temperature difference value is not lower than the preset difference threshold, the detection speed can be appropriately reduced to ensure the measurement accuracy. Among them, the specific preset difference threshold is not specifically limited in the embodiments of the present application and can be determined by relevant staff according to historical experimental data and then uploaded to the electronic device.

[0055] An electronic device is provided in an embodiment of the present application, such as Figure 3 shown Figure 3 The electronic device 300 shown in the figure includes: a processor 301 and a memory 303. Among them, the processor 301 and the memory 303 are connected, such as connected through a bus 302. Optionally, the electronic device 300 may further include a transceiver 304. It should be noted that in practical applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 does not constitute a limitation to the embodiments of the present application.

[0056] The processor 301 may be a CPU (Central Processing Unit, central processor), a general-purpose processor, a DSP (Digital Signal Processor, data signal processor), an ASIC (Application Specific Integrated Circuit, application-specific integrated circuit), an FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It can implement or execute various exemplary logic blocks, modules and circuits described in connection with the disclosure of the present application. The processor 301 may also be a combination that implements computing functions, such as a combination including one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0057] The bus 302 may include a path for transmitting information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus or an EISA (Extended Industry Standard Architecture, extended industry standard architecture) bus, etc. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For the convenience of representation, Figure 3 only one line is shown in the figure, but it does not mean that there is only one bus or one type of bus.

[0058] The memory 303 may be a ROM (Read Only Memory), or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory), or other types of dynamic storage devices that can store information and instructions. It may also be an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory), or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media, or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0059] The memory 303 is used to store the application program code for implementing the solution of this application, and is controlled by the processor 301 for execution. The processor 301 is used to execute the application program code stored in the memory 303 to implement the content shown in the foregoing method embodiments.

[0060] Among them, the electronic device includes but is not limited to: mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), in-vehicle terminals (such as in-vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. It may also be a server, etc. Figure 3 The shown electronic device is only an example and should not impose any restrictions on the functions and usage scope of the embodiments of this application.

[0061] The embodiments of this application provide a computer-readable storage medium, on which a computer program is stored. When it runs on a computer, it enables the computer to execute the corresponding content in the foregoing method embodiments.

[0062] An embodiment of the present application provides a computer program product, which includes a computer program that, when executed by a processor, implements the method in any of the above embodiments. Compared with the related art, in the embodiment of the present application, by comprehensively analyzing the sensor parameter information and the detection parameter information, it is convenient to more accurately simulate and predict the temperature change behavior of the temperature sensor during the heating process, that is, the maximum temperature rise amplitude value determined based on these parameters is convenient to provide a targeted temperature rise benchmark for subsequent real-time temperature detection analysis. Compared with using a fixed temperature rise amplitude value to determine whether the sensor chip is close to the preset heat source, this way of providing a targeted temperature rise benchmark is convenient to significantly improve the accuracy of detecting the position where the sensor chip is located. In addition, by controlling the temperature sensor to be detected to move along the direction of the preset heat source and recording the real-time detection temperature at each moment, it is convenient to comprehensively and real-time detect each position in the metal tube corresponding to the temperature sensor to be detected. Even if the sensor chip is not at the bottom of the metal tube, by means of real-time detection and recording of each position, it is also convenient to quickly locate the position where the sensor chip is located, thereby facilitating the improvement of the accuracy of temperature measurement.

[0063] It should be understood that although the steps in the flowchart of the accompanying drawings are shown in sequence according to the indication of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order restriction, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same moment, but can be executed at different moments, and their execution order is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.

[0064] The above are only some embodiments of the present application. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present application, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present application.

Claims

1. A method for detecting the position of a temperature sensor chip in a tube, characterized in that: include: Obtain sensor parameter information and detection parameter information corresponding to the temperature sensor to be detected, wherein the sensor parameter information includes thermistor coefficient, metal thermal conductivity, metal tube wall thickness, metal density, and metal specific heat capacity, and the detection parameter information includes detection moving speed and heat source temperature; Determine a maximum temperature rise amplitude value based on the sensor parameter information and the detection parameter information; Based on the detection moving speed, the temperature sensor to be detected is controlled to move in the direction of a preset heat source, and the real-time detection temperature corresponding to each moment during the movement is recorded; Based on the maximum temperature rise amplitude value and the corresponding real-time detected temperature at each moment during the movement process, the position of the temperature sensor chip in the tube is determined, and the change amplitude value of the real-time detected temperature corresponding to the position of the temperature sensor chip in the tube is not lower than the maximum temperature rise amplitude value.

2. A method for detecting the position of a temperature sensor chip in a tube according to claim 1, characterized in that: The determining of the maximum temperature rise amplitude value based on the sensor parameter information and the detection parameter information includes: Determine the heat diffusion time corresponding to the preset heat source in the metal tube wall of the temperature sensor to be detected based on the metal thermal conductivity, the metal tube wall thickness, the metal density and the metal specific heat capacity; Determining the absorbed heat of the metal tube wall of the temperature sensor to be detected based on the detection moving speed and the heat source temperature; The maximum temperature rise amplitude value is determined based on the heat diffusion time, the absorbed heat, and the metal specific heat capacity.

3. The method for detecting the position of a temperature sensor chip in a tube according to claim 1, characterized in that: Also includes: Generate a real-time temperature line graph based on the real-time detected temperature at each moment during the movement; After determining the location of the temperature sensor chip in the tube, identifying the target broken line location corresponding to the location from the real-time temperature broken line graph; An observation fold line area is determined based on the target fold line position, and if the change amplitude value of any real-time detected temperature contained in the observation fold line area is lower than the maximum temperature rise amplitude value, a detection stop instruction is generated to stop the movement of the temperature sensor to be detected.

4. A method for detecting the position of a temperature sensor chip in a tube according to claim 3, characterized in that: Also includes: If the location of the temperature sensor chip in the tube is not determined based on the maximum temperature rise value and the real-time detected temperature, determining an abnormal temperature trend line from the real-time temperature line graph; Determine a historical temperature trend line corresponding to an associated temperature sensor from historical detection data, wherein the associated temperature sensor and the temperature sensor to be detected have at least one common basic parameter; The abnormal temperature trend line is matched with the historical temperature trend line to obtain a trend matching value, and a deviation warning is generated when the trend matching value is lower than a preset matching threshold.

5. The method for detecting the position of a temperature sensor chip in a tube according to claim 1, characterized in that: After determining the maximum temperature rise amplitude value based on the sensor parameter information and the detection parameter information, the method further includes: Acquire the real-time ambient temperature, and when the temperature difference between the real-time ambient temperature and the heat source temperature is less than the maximum temperature rise amplitude value, determine the amplitude adjustment value corresponding to the real-time ambient temperature based on the mapping relationship between the real-time ambient temperature and the preset adjustment value; The maximum temperature rise amplitude value is optimized based on the amplitude adjustment value.

6. The method for detecting the position of a temperature sensor chip in a tube according to claim 1, characterized in that: If the location of the temperature sensor chip in the tube is not determined within the preset time period, the method further includes: Based on the real-time detected temperature corresponding to each moment within the preset time period, determine the temperature growth trend and the adjacent temperature difference value corresponding to the preset time period, wherein the adjacent temperature difference value is the difference between the real-time detected temperature corresponding to the end moment within the preset time period and the maximum temperature rise amplitude value; A speed adjustment value is determined based on the temperature growth trend and the adjacent temperature difference value to adjust the detection movement speed.

7. An electronic device, characterized in that: The electronic device includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute a method for detecting the position of an in-tube temperature sensor chip according to any one of claims 1-6.

8. A computer-readable storage medium, characterized in that: include: A computer program is stored which can be loaded by a processor and executes a method for detecting the position of a temperature sensor chip in a tube as claimed in any one of claims 1 to 6.

9. A computer program product, characterized in that The method comprises a computer program, which, when executed by a processor, implements the steps of a method for detecting the position of a temperature sensor chip in a tube according to any one of claims 1 to 6.

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