Temperature detection method based on sensor

Abstract

The invention discloses a temperature detection method based on a sensor, and relates to the technical field of temperature detection. Comprising the following steps: data acquisition: acquiring user requirements and feedback address information, acquiring sensors which can be put into use to obtain temperature sensors, and sending the feedback address information to the address information of a user; through the set matching method, the temperature sensor or the use scene matched with the user demand can be recommended to the user according to the user demand matching relevance, the efficiency of selecting the temperature sensor is improved, the efficiency of temperature detection is further improved, and the user experience is improved in the process of using the temperature sensor to carry out temperature detection. The deviation information associated with the environment and the temperature and the target environment can be obtained through the deviation obtaining method, and the detection data of the temperature sensor can be corrected through the correction method in cooperation with the deviation information and the target environment, so that the accuracy of the temperature detection result is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature detection, and specifically provides a temperature detection method based on a sensor. Background Art

[0002] Temperature is a physical quantity used to represent the thermal state of an object or environment, reflecting the energy of the internal molecular motion of the object. Temperature detection is ubiquitous and runs through our life and work, playing a crucial role in safety, health, and the environment.

[0003] A high-efficiency temperature detection method and temperature sensor based on a temperature sensor with the patent publication number CN117606634A includes a probe module, a probe processing module, and a display module. The probe module contains a thin-film sensor without an intermediate conduction medium. The probe processing module includes a data acquisition module, a data storage module, a model construction module, and a temperature analysis module. The temperature value is detected by differential temperature analysis by obtaining corresponding parameters through the thin-film sensor and combining the data of the data acquisition module, and the final temperature value is output and displayed on the display module. The present invention realizes direct contact between the sensor and the shell, with a fast conduction speed, improving the detection efficiency. Moreover, by combining other data collected by the data acquisition module, there is no need to design multiple sensors to improve the detection accuracy, and the accuracy of temperature detection is simply and quickly improved.

[0004] In different application scenarios, different measurement environments and temperature requirements require different types of sensors. To improve efficiency and ensure the accuracy and precision of temperature measurement, appropriate temperature sensors should be provided according to the application scenario and user needs. The selection of temperature sensors is relatively important. When an inappropriate sensor for the measurement environment and temperature is selected, there will be a drawback that the measured result is inaccurate, leading to errors. The above-mentioned and similar temperature detection methods have the drawback that they cannot automatically recommend appropriate temperature sensors according to user needs. Therefore, in different measurement environments and temperature requirements, there is a drawback of low efficiency in selecting temperature sensors. At the same time, the readings of temperature sensors are affected by environmental factors, resulting in measurement errors. If the errors are not corrected, the accuracy of temperature measurement results will be low. Thus, the present invention is proposed. Summary of the Invention

[0005] The purpose of the present invention is to provide a temperature detection method based on a sensor to solve the problems raised in the above background art.

[0006] To achieve the above purpose, the present invention provides the following technical solution: A temperature detection method based on a sensor, the method includes:

[0007] Data acquisition: Obtain user requirements and feedback address information, obtain sensors that can be put into use to get temperature sensors, and the feedback address information is the address information for sending the information to the user;

[0008] Data processing: Based on the temperature sensor, generate a target scenario suitable for the operation of the temperature sensor through a construction method, establish the relevance between the temperature sensor and the target scenario, establish a repository for storing the temperature sensor, and establish a scenario library for storing the target scenario;

[0009] Recommendation matching: Based on user requirements and relevance, perform matching in the repository and scenario library through a matching method to obtain a matching result, and based on the feedback address information, feedback the matching result to the user, and the user selects a temperature sensor for temperature detection according to the matching result;

[0010] Deviation acquisition: Based on the temperature sensor, construct different environments through a deviation acquisition method and obtain deviations to get deviation information and a target environment, and establish an association relationship between the deviation information and the target environment;

[0011] Correction processing: Record the temperature data during the temperature detection process in real time to get detection data, obtain the environmental information at the temperature detection location in real time to get the specific environment, preset a time unit, and based on the time unit and the deviation information, correct the detection data through a correction method to get the corrected temperature;

[0012] Feedback output: Send the corrected temperature to the user based on the feedback address information;

[0013] The deviation acquisition method includes: preset a basic environment and a basic temperature, the basic environment includes several factor items, obtain the temperature detection data of the temperature sensor in the basic environment to get the target temperature, adjust a single factor item in the basic environment through an adjustment method to get several variable environments and the standard temperatures corresponding to the variable environments, integrate the variable environments and the standard temperatures to get change data, integrate the target temperature, the basic environment and the basic temperature to get basic data, and based on the basic data and the change data, obtain the deviation relationship between the change of the factor item and the temperature detected by the temperature sensor through a trend acquisition method to get deviation information, and the variable environment is the target environment.

[0014] Furthermore, the adjustment method includes: preset an adjustment unit and the number of environments, sequentially select the factor item to be adjusted based on the basic environment to get the target factor item, perform cumulative increase adjustment and cumulative decrease adjustment on the target factor item in the basic environment based on the adjustment unit and the number of environments to get several variable environments, and obtain the temperature under the variable environment to get the standard temperature corresponding to the variable environment.

[0015] Further, the trend acquisition method includes: obtaining the temperature detection data of the temperature sensor in a variable environment to obtain the detected temperature, establishing the correspondence between the variable environment and the detected temperature and the standard temperature, dividing the variable environment into several group environments based on the change of the same factor item, extracting any one group environment to obtain the environment to be detected, extracting the changed factor items in the environment to be detected to obtain the target factors, obtaining the difference between adjacent factor values in the target factors based on the adjustment unit, extracting adjacent factors in the target factors to obtain several groups of adjacent factors, extracting the detected temperature and the standard temperature of the adjacent factors based on the correspondence to obtain several groups of adjacent temperatures, the adjacent temperatures include the reference temperature and the benchmark temperature, and obtaining the deviation information through a judgment method based on the several groups of adjacent factors and the several groups of adjacent temperatures.

[0016] Further, the judgment method includes: obtaining the difference between the reference temperature and the benchmark temperature in the adjacent temperatures based on the adjacent factors to obtain a pre-value, obtaining the proportional relationship between the pre-value and the difference in the adjacent factors to obtain a deviation sub-value, judging whether the deviation sub-values in all adjacent factors are consistent, when the deviation sub-values in all adjacent factors are consistent, integrating the factor values in all adjacent factors to obtain a factor range, the deviation sub-value is the deviation value of the factor range, integrating the factor range and the deviation sub-value to obtain the deviation information, when the deviation sub-values in all adjacent factors are single or multiple inconsistent, extracting the factor values with consistent deviation sub-values and integrating them to obtain a first factor range and a first deviation sub-value, extracting the factor values with inconsistent deviation sub-values and their adjacent factor values to obtain a second factor range and a second deviation sub-value, integrating the first factor range and the second factor range to obtain a factor range, integrating the first deviation value and the second deviation value to obtain a deviation value, and integrating the deviation value and the factor range to obtain the deviation information.

[0017] Further, the construction method includes: obtaining the factor data suitable for the operation of the temperature sensor to obtain the target factor data, constructing a working scenario based on the target factor data to obtain a suitable scenario, presetting adjustment parameters, adjusting the target factor data based on the adjustment parameters to obtain a data range, constructing a working scenario based on the endpoint data of the data range to obtain a scenario range, and integrating the suitable scenario and the scenario range to obtain the target scenario.

[0018] Further, the matching method includes: obtaining a target requirement according to user needs, where the target requirement includes a requirement scenario or a requirement sensor. When the target requirement is a requirement scenario, retrieving a target scenario corresponding to the requirement scenario from a scenario library based on the requirement scenario to obtain a specific scenario, and extracting a temperature sensor corresponding to the specific scenario from a repository based on relevance to obtain a target sensor. When the target requirement is a requirement sensor, retrieving a temperature sensor corresponding to the requirement sensor from the repository based on the requirement sensor to obtain a specific sensor, and extracting a target scenario corresponding to the specific sensor from the scenario library based on relevance to obtain a recommended scenario. The target sensor or the recommended scenario is the matching result.

[0019] Further, the correction method includes: the time unit is an instantaneous time point, monitoring the temperature fluctuation in the detection data based on the time unit, presetting a fluctuation value. When the temperature fluctuation between adjacent time units in the detection data exceeds the fluctuation value, obtaining the detection data of the previous time unit to obtain a target temperature and the corresponding environment, determining the factor items with differences between the specific environment and the corresponding environment to obtain correction factor items, extracting the factor range corresponding to the factor items from the deviation information, determining the inclusion relationship between the factor range and the correction factor value to obtain result information, extracting the deviation value from the deviation information based on the result information and combining it with the value of the correction factor item to obtain a target deviation value, and adding the target deviation value to the target temperature based on the time unit to obtain a corrected temperature.

[0020] Further, in the process of obtaining the temperature detection data of the temperature sensor in a variable environment to obtain the detected temperature, a preset difference range is set, determining the difference value between the detected temperature and the standard temperature of the variable environment, and determining whether the difference value is within the difference range. When the difference value is not within the difference range, extracting the temperature sensor to generate an alarm message, and sending the alarm message to the user based on the feedback basic information.

[0021] Compared with the prior art, the beneficial effects of the present invention are:

[0022] For this temperature detection method based on a sensor, through the set matching method, a temperature sensor or a usage scenario that adapts to the user's needs can be recommended to the user according to the user's needs in combination with relevance, which is beneficial to improving the efficiency of selecting a temperature sensor, and further improving the efficiency of temperature detection. In the process of using the temperature sensor for temperature detection, deviation information and a target environment related to the environment and temperature can be obtained through the deviation acquisition method, and then the detection data of the temperature sensor can be corrected through the correction method in combination with the deviation information and the target environment to improve the accuracy of the temperature detection result.

[0023] Meanwhile, through the set adjustment method, each single factor item in the basic environment is adjusted in sequence to obtain a number of variable environments and the standard temperatures corresponding to the variable environments. In this process, only one factor item is different in all variable environments, that is, the variable environments are all obtained by adjusting one factor item in the basic environment on the basis of the basic environment. Through the trend acquisition method, according to the change data and the basic data, the deviation relationship between the factor item change and the detection data of the temperature sensor is obtained to get the deviation information. By judging whether the deviation sub-values in all adjacent factors are consistent, the factor values of the consistent deviation sub-values can be combined to obtain a factor range, so as to reduce the amount of stored data and improve the correction efficiency of the subsequent correction method.

[0024] Meanwhile, in the feedback output stage, the corrected temperature is sent to the user so that the user can understand the corrected temperature. At the same time, the time node and modified data for the modification in the corrected temperature can be recorded to obtain the correction record, and the correction record is sent to the user so that the user can further understand the detection of the temperature sensor. By presetting the difference range, it is judged whether the temperature sensor is damaged by judging whether the difference value between the detected temperature and the standard temperature of the variable environment is within the difference range. When damage occurs, an alarm message is generated and sent to the user to immediately adjust the damaged temperature sensor to achieve the effect of improving the temperature detection accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic structural diagram of the data processing stage and the recommendation matching stage of the present invention;

[0026] Figure 2 It is a schematic structural diagram of the deviation acquisition stage and the correction processing stage of the present invention;

[0027] Figure 3 It is a schematic structural diagram of the judgment method of the present invention;

[0028] Figure 4 It is a schematic structural diagram of the adjacent factors of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0029] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0030] In a cold storage of a large food processing factory, temperature sensors are used to monitor the temperature of stored fresh food. The cold storage has strict temperature requirements to prevent bacterial growth and keep the food fresh. However, the internal environment of the cold storage is relatively humid, and the readings of the temperature sensors are affected by environmental factors (such as humidity, air pressure, etc.) at different times, resulting in measurement errors. The detected data is corrected by obtaining the deviation information between the environmental factors and the detected data to obtain the corrected temperature, so as to improve the accuracy of the detected temperature.

[0031] As Figures 1-4 shown, the present invention provides a technical solution: a temperature detection method based on a sensor, the method comprising:

[0032] Data acquisition: Obtain user requirements and feedback address information, obtain a sensor that can be put into use to get a temperature sensor, and the feedback address information is the address information for sending the information to the user;

[0033] Data processing: Based on the temperature sensor, generate a target scenario by constructing a method suitable for the operation of the temperature sensor, establish the relevance between the temperature sensor and the target scenario, establish a repository for storing the temperature sensor, and establish a scenario library for storing the target scenario;

[0034] Recommended matching: Based on user requirements and in combination with the relevance, perform matching in the repository and the scenario library through a matching method to obtain a matching result, and based on the feedback address information, feedback the matching result to the user, and the user selects a temperature sensor for temperature detection according to the matching result;

[0035] Deviation acquisition: Based on the temperature sensor, construct different environments through a deviation acquisition method to obtain deviation information and a target environment, and establish an association relationship between the deviation information and the target environment;

[0036] Correction processing: Record the temperature data during the temperature detection process in real time to obtain the detected data, obtain the specific environment information at the temperature detection location in real time, preset a time unit, and correct the detected data through a correction method based on the time unit and in combination with the deviation information to obtain the corrected temperature;

[0037] Feedback output: Send the corrected temperature to the user based on the feedback address information;

[0038] It should be noted that in the data acquisition stage, both the user requirements and the feedback address information are obtained through the user. The user requirements are the usage requirements for the user to perform temperature detection, such as in what environment the temperature detection needs to be carried out and what kind of temperature sensor needs to be used for temperature detection. The feedback address information is the user's address information, such as the user's IP address, phone number, email, etc. In the data processing stage, according to the set construction method, a target scenario suitable for the operation of the temperature sensor is constructed using the data in accordance with the instruction manual of the temperature sensor. By establishing the relevance between the temperature sensor and the target scenario, it is convenient to find the corresponding target scenario according to the relevance through the temperature sensor or find the corresponding temperature sensor according to the relevance through the target scenario, so as to facilitate the subsequent matching method to perform matching according to the user requirements. In the recommended matching stage, through the set matching method, it is possible to recommend a temperature sensor or usage scenario that matches the user requirements according to the user requirements in combination with the relevance, which is beneficial to improving the efficiency of selecting the temperature sensor and further improving the efficiency of temperature detection. In the deviation acquisition stage, the deviation information and the target environment of the temperature sensor in different environments are obtained through the deviation acquisition method. Through the obtained deviation information and the target environment, it is convenient for the subsequent correction method to correct the detection data of the temperature sensor according to the deviation information and the target environment, so as to improve the accuracy of the temperature detection result. In the correction processing stage, through the set correction method, the detection data can be corrected according to the deviation information. In the feedback output stage, the corrected temperature is sent to the user, so that the user can understand the corrected temperature. At the same time, the time node and the modified data for the modification in the corrected temperature can be recorded to obtain a correction record, and the correction record is sent to the user, so that the user can further understand the detection of the temperature sensor.

[0039] The deviation acquisition method includes: presetting a basic environment and a basic temperature. The basic environment includes several factor items. The temperature detection data of the temperature sensor in the basic environment is obtained to get the target temperature. By using the adjustment method, a single factor item in the basic environment is adjusted to obtain several variable environments and the standard temperatures corresponding to the variable environments. The variable environments and the standard temperatures are integrated to obtain change data. The target temperature, the basic environment and the basic temperature are integrated to obtain basic data. Based on the basic data and the change data, the deviation relationship of the temperature detected by the temperature sensor caused by the change of the factor item is obtained through the trend acquisition method to get the deviation information. The variable environment is the target environment.

[0040] It should be noted that the basic environment is formulated according to the actual usage. Specifically, a container can be made, and data such as humidity, temperature, and pressure in the container can be adjusted directionally to facilitate subsequent sample collection. The basic temperature is the actual temperature of the basic environment, which can be obtained by introducing a high-precision temperature detection instrument to detect the basic environment. The detection points of the temperature sensor and the temperature detection instrument need to be the same to ensure the accuracy of the deviation. The target temperature is the temperature detected by the temperature sensor at the detection point in the basic environment. Through the set adjustment method, each single factor item in the basic environment is adjusted in turn to obtain several variable environments and the standard temperatures corresponding to the variable environments. In this process, only one factor item is different in all variable environments, that is, the variable environments are all obtained by adjusting one factor item in the basic environment on the basis of the basic environment. Through the trend acquisition method, the deviation relationship between the detection data of the temperature sensor caused by the change of the factor item is obtained based on the change data and the basic data to obtain the deviation information. Through the deviation information, it is convenient to correct the detection data of the temperature sensor by the correction method to improve the result of temperature detection.

[0041] The adjustment method includes: presetting the adjustment unit and the number of environments, sequentially selecting the factor item to be adjusted based on the basic environment to obtain the target factor item, and performing cumulative increase adjustment and cumulative decrease adjustment on the target factor item in the basic environment based on the adjustment unit and the number of environments to obtain several variable environments, and obtaining the standard temperature corresponding to the variable environment by obtaining the temperature under the variable environment.

[0042] It should be noted that the adjustment unit and the number of environments are determined according to the actual usage. The adjustment unit is the data value corresponding to the factor item. For example, when the factor item is humidity, the adjustment unit is 1% humidity, and when the factor item is pressure, the adjustment unit is 1 Pa, etc. The process of sequentially selecting the factor item to be adjusted based on the basic environment to obtain the target factor item can also be randomly selected, which is specifically determined according to the actual usage requirements. The process of performing increase adjustment and decrease adjustment on the target factor item in the basic environment based on the adjustment unit and the number of environments to obtain several variable environments is specifically to perform cumulative increase and cumulative decrease of the adjustment unit on the target factor item in the basic environment to obtain several variable environments. The number of variable environments is the same as the number of environments. The process of obtaining the standard temperature corresponding to the variable environment by obtaining the temperature under the variable environment can be obtained by using a high-precision temperature detection instrument to detect the temperature at the fixed detection point in the variable environment.

[0043] Such as Figure 4As shown in the figure, the trend acquisition method includes: obtaining the temperature detection data of the temperature sensor in a variable environment to obtain the detected temperature, establishing the corresponding relationship between the variable environment and the detected temperature and the standard temperature, dividing the variable environment into several grouped environments based on the change of the same factor item, extracting any one of the grouped environments to obtain the environment to be detected, extracting the changed factor items in the environment to be detected to obtain the target factor, obtaining the difference between adjacent factor values in the target factor based on the adjustment unit, extracting adjacent factors in the target factor to obtain several groups of adjacent factors, extracting the detected temperature and the standard temperature of the adjacent factors based on the corresponding relationship to obtain several groups of adjacent temperatures, the adjacent temperatures include the reference temperature and the reference temperature, and obtaining the deviation information through a judgment method based on several groups of adjacent factors and several groups of adjacent temperatures.

[0044] It should be noted that in the process of obtaining the temperature detection data of the temperature sensor in a variable environment to obtain the detected temperature, that is, using the temperature sensor to perform temperature detection at a fixed detection point in the variable environment to obtain the detected temperature. By establishing the corresponding relationship between the variable environment and the detected temperature and the standard temperature, it is convenient to find the detected temperature and the standard temperature corresponding to the variable environment through the variable environment and the corresponding relationship. In the process of dividing the variable environment into several grouped environments based on the change of the same factor item, that is, dividing the variable environment with a single changed factor item into a grouped environment, so as to obtain the influence of a single factor item change on the detected temperature. In the process of extracting any one of the grouped environments to obtain the environment to be detected, the extraction can be random or directional, which is specifically determined according to the actual usage requirements. All grouped environments need to be converted into the environment to be detected for subsequent operations, and the sequence is determined by the staff themselves. In the process of extracting the changed factor items in the environment to be detected to obtain the target factor, that is, extracting the factor items with different values in the environment to be detected to obtain the target factor. Obtaining the difference between adjacent factor values in the target factor based on the adjustment unit, the difference between adjacent factor values is consistent with the adjustment unit. Extracting adjacent factors in the target factor to obtain several groups of adjacent factors, a target factor has two adjacent factors, specifically the left adjacent and the right adjacent, which are specifically extracted by sorting the target factor by numerical size. According to the adjacent factors and adjacent temperatures generated by the change of a single factor item, the deviation information can be obtained through the set judgment method, so as to facilitate the use of subsequent correction methods.

[0045] Such as Figure 3As shown, the judgment method includes: obtaining the difference between the reference temperature and the reference temperature in the adjacent temperature based on the adjacent factors to obtain a predicted value, obtaining the proportional relationship between the predicted value and the difference in the adjacent factors to obtain a deviation sub-value, determining whether the deviation sub-values in all adjacent factors are consistent. When the deviation sub-values in all adjacent factors are consistent, integrating the factor values in all adjacent factors to obtain a factor range, the deviation sub-value is the deviation value of the factor range, and integrating the factor range and the deviation sub-value to obtain deviation information. When one or more of the deviation sub-values in all adjacent factors are inconsistent, extracting the factor values with consistent deviation sub-values and integrating them to obtain a first factor range and a first deviation sub-value, extracting the factor values with inconsistent deviation sub-values and their adjacent factor values to obtain a second factor range and a second deviation sub-value, integrating the first factor range and the second factor range to obtain a factor range, integrating the first deviation value and the second deviation value to obtain a deviation value, and integrating the deviation value and the factor range to obtain deviation information.

[0046] It should be noted that Figure 3 in A, it represents the situation when the deviation sub-values in all adjacent factors are consistent, and the deviation sub-values of the deviation sub-value line are always consistent. Figure 3 in B, it represents the situation when one or more of the deviation sub-values in all adjacent factors are inconsistent. The deviation sub-values of the first deviation sub-value line are consistent, and the deviation sub-values of the second deviation sub-value line are consistent. In the process of obtaining the predicted value by obtaining the difference between the reference temperature and the reference temperature in the adjacent temperature based on the adjacent factors, the number of predicted values for a single adjacent factor is two, which corresponds to the number of adjacent factors. At the same time, the predicted value is under the factor item in the adjacent factor. There is a deviation between the temperature detected by the temperature sensor and the actual temperature. In the process of obtaining the deviation sub-value by obtaining the proportional relationship between the predicted value and the difference in the adjacent factors, the number of deviation sub-values in a single adjacent factor is also two. By determining whether the deviation sub-values in all adjacent factors are consistent, the factor values with consistent deviation sub-values can be combined to obtain a factor range, so as to reduce the amount of stored data and improve the correction efficiency of the subsequent correction method.

[0047] The construction method includes: obtaining the factor data suitable for the operation of the temperature sensor to obtain target factor data, constructing a working scenario based on the target factor data to obtain a suitable scenario, presetting adjustment parameters, adjusting the target factor data based on the adjustment parameters to obtain a data range, constructing a working scenario based on the endpoint data of the data range to obtain a scenario range, and integrating the suitable scenario and the scenario range to obtain a target scenario.

[0048] It should be noted that the process of obtaining the target factor data by acquiring the factor data suitable for the temperature sensor to work can be obtained by browsing the user manual of the temperature sensor. The specific presetting of the adjustment parameters can be preset according to the user manual, or can be preset through network retrieval or by experienced engineers. By adding the preset adjustment parameters to the target factor data, the lowest and highest environments that the temperature sensor can adapt to can be obtained, and then the scenario range in which the temperature sensor can be used for temperature detection can be obtained.

[0049] As Figure 1 shown, the matching method includes: obtaining the target requirement according to the user requirement, where the target requirement includes the requirement scenario or the requirement sensor. When the target requirement is the requirement scenario, retrieving the target scenario corresponding to the requirement scenario in the scenario library based on the requirement scenario to obtain the specific scenario, and extracting the temperature sensor corresponding to the specific scenario in the repository based on the relevance to obtain the target sensor. When the target requirement is the requirement sensor, retrieving the temperature sensor corresponding to the requirement sensor in the repository based on the requirement sensor to obtain the specific sensor, and extracting the target scenario corresponding to the specific sensor in the scenario library based on the relevance to obtain the recommended scenario. The target sensor or the recommended scenario is the matching result.

[0050] It should be noted that through the set matching method, the temperature sensor and the usage scenario that meet the user's requirements can be recommended to the user according to the user's requirements. The specific user requirements can be the requirement scenario and the requirement sensor. When the user requirement is the requirement scenario, the temperature sensor that meets the requirement scenario is provided to the user. When the user requirement is the requirement sensor, the target scenario for temperature detection that meets the requirement sensor is provided to the user, so as to improve the accuracy and efficiency of temperature detection.

[0051] As Figure 2 shown, the correction method includes: the time unit is the instantaneous time point, monitoring the temperature fluctuation in the detection data based on the time unit, presetting the fluctuation value. When the temperature fluctuation between adjacent time units in the detection data exceeds the fluctuation value, obtaining the detection data of the previous time unit to get the target temperature and the corresponding environment, judging the factor items with differences between the specific environment and the corresponding environment to get the correction factor items, extracting the factor range corresponding to the factor items in the deviation information, judging the inclusion relationship between the factor range and the correction factor value to get the result information, extracting the deviation value in the deviation information based on the result information and combining it with the value of the correction factor item to get the target deviation value, and adding the target deviation value to the target temperature based on the time unit to get the corrected temperature.

[0052] It should be noted that the corresponding environment and the specific environment are the scenario environments in adjacent time units. The size of the time unit is preset according to actual usage requirements, and can be specifically one second, five seconds or ten seconds. The correction method specifically runs when the specific environment changes and causes a temperature change. Taking the detection data before the change of the specific environment as the matrix, combining the differences in the readings caused by the change of the factor items in the specific environment in the reverse direction into the matrix to obtain the corrected temperature, and judging the factor items with differences between the specific environment and the corresponding environment to obtain the corrected factor items. This process is to judge the number and specific factor items of the factor items with differences. During the correction process of the correction method, the factor range of each single factor item with differences is judged in turn, and the target deviation value is obtained by combining the obtained deviation value with the value of the corrected factor item. Based on the time unit, the target deviation value is added to the detection data to obtain the corrected temperature. Through the time unit, the addition of the target deviation value can be made more accurate, and thus the temperature detection result is accurate.

[0053] In the process of obtaining the detected temperature by acquiring the temperature detection data of the temperature sensor in a variable environment, a preset difference range is set, the difference value between the detected temperature and the standard temperature of the variable environment is judged, and it is judged whether the difference value is within the difference range. When the difference value is not within the difference range, the temperature sensor is extracted to generate an alarm message, and the alarm message is sent to the user based on the feedback basic information.

[0054] It should be noted that the performance of the sensor may drift over time and with use. By presetting the difference range, it is judged whether the temperature sensor is damaged by judging whether the difference value between the detected temperature and the standard temperature of the variable environment is within the difference range. When damage occurs, an alarm message is generated and sent to the user to immediately adjust the damaged temperature sensor to achieve the effect of improving the temperature detection accuracy. The size of the difference range is specifically determined according to actual usage conditions, such as 5 degrees Celsius, etc., and it is specifically used as the judgment standard for whether the temperature sensor is damaged.

[0055] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended embodiments and their equivalents.

Claims

1. A temperature detection method based on a sensor, characterized in that: The method comprises: Data acquisition: obtain user needs and feedback address information, obtain sensors that can be put into use to obtain temperature sensors, and the feedback address information is the address information for sending information to users; Data processing: Based on the temperature sensor, a scene suitable for the temperature sensor to work is generated through a construction method to obtain a target scene, the correlation between the temperature sensor and the target scene is established, a repository is established to store the temperature sensor, and a scene library is established to store the target scene; Recommended matching: Based on the user's needs and relevance, matching results are obtained in the repository and scene library through matching methods. The matching results are fed back to the user based on the feedback address information, and the user selects a temperature sensor for temperature detection based on the matching results; Deviation acquisition: Based on the temperature sensor, different environments are constructed through the deviation acquisition method and the deviation is obtained to obtain the deviation information and the target environment, and the correlation relationship between the deviation information and the target environment is established; Correction processing: record the temperature data in the temperature detection process in real time to obtain the detection data, obtain the environmental information of the temperature detection location in real time to obtain the specific environment, preset the time unit, and correct the detection data through the correction method based on the time unit and the deviation information to obtain the corrected temperature; Feedback output: send the corrected temperature to the user based on the feedback address information; The deviation acquisition method includes: presetting a basic environment and a basic temperature, the basic environment includes several factor items, obtaining the temperature detection data of the temperature sensor under the basic environment to obtain the target temperature, adjusting a single factor item in the basic environment by an adjustment method to obtain several variable environments and standard temperatures corresponding to the variable environments, integrating the variable environments and the standard temperatures to obtain change data, integrating the target temperature, the basic environment and the basic temperature to obtain basic data, and based on the basic data and the change data, obtaining the deviation relationship of the temperature detected by the temperature sensor due to the change of the factor item by a trend acquisition method to obtain deviation information, and the variable environment is the target environment.

2. A temperature detection method based on a sensor according to claim 1, characterized in that: The adjustment method includes: presetting an adjustment unit and a number of environments, selecting factor items to be adjusted in sequence based on a basic environment to obtain a target factor item, performing cumulative increase adjustment and cumulative decrease adjustment on the target factor item in the basic environment based on the adjustment unit and the number of environments to obtain a number of variable environments, and obtaining the temperature under the variable environment to obtain a standard temperature corresponding to the variable environment.

3. A temperature detection method based on a sensor according to claim 1, characterized in that: The trend acquisition method includes: acquiring temperature detection data of a temperature sensor in a variable environment to obtain a detection temperature, establishing a corresponding relationship between the variable environment and the detection temperature and the standard temperature, dividing the variable environment into groups based on changes in the same factor items to obtain a plurality of group environments, extracting any one group environment to obtain an environment to be detected, extracting the changed factor items in the environment to be detected to obtain a target factor, obtaining a difference in values ​​of adjacent factors in the target factor based on an adjustment unit, extracting adjacent factors in the target factor to obtain a plurality of groups of adjacent factors, extracting the detection temperature and the standard temperature of the adjacent factors based on the corresponding relationship to obtain a plurality of groups of adjacent temperatures, wherein the adjacent temperatures include a reference temperature and a benchmark temperature, and obtaining deviation information through a judgment method based on the plurality of groups of adjacent factors and the plurality of groups of adjacent temperatures.

4. A temperature detection method based on a sensor according to claim 3, characterized in that: The judgment method includes: obtaining a difference between a reference temperature and a base temperature in adjacent temperatures based on adjacent factors to obtain a preset value, obtaining a proportional relationship between the preset value and the difference in the adjacent factors to obtain a deviation sub-value, judging whether the deviation sub-values ​​in all adjacent factors are consistent, when the deviation sub-values ​​in all adjacent factors are consistent, integrating the factor values ​​in all adjacent factors to obtain a factor range, the deviation sub-value is a deviation value of the factor range, integrating the factor range and the deviation sub-value to obtain deviation information, when one or more deviation sub-values ​​in all adjacent factors are inconsistent, extracting factor values ​​with consistent deviation sub-values ​​and integrating them to obtain a first factor range and a first deviation sub-value, extracting factor values ​​with inconsistent deviation sub-values ​​and their adjacent factor values ​​to obtain a second factor range and a second deviation sub-value, integrating the first factor range and the second factor range to obtain a factor range, integrating the first deviation value and the second deviation value to obtain a deviation value, and integrating the deviation value and the factor range to obtain deviation information.

5. A temperature detection method based on a sensor according to claim 1, characterized in that: The construction method includes: obtaining suitable working factor data of the temperature sensor to obtain target factor data, constructing a working scene based on the target factor data to obtain a suitable scene, presetting adjustment parameters, adjusting the target factor data based on the adjustment parameters to obtain a data range, constructing a working scene based on endpoint data of the data range to obtain a scene range, and integrating the suitable scene and the scene range to obtain a target scene.

6. A temperature detection method based on a sensor according to claim 1, characterized in that: The matching method includes: obtaining a target need according to a user need, the target need includes a demand scene or a demand sensor; when the target need is a demand scene, retrieving a target scene corresponding to the demand scene in a scene library based on the demand scene to obtain a specific scene; extracting a temperature sensor corresponding to the specific scene in the storage library based on the correlation to obtain a target sensor; when the target need is a demand sensor, retrieving a temperature sensor corresponding to the demand sensor in the storage library based on the demand sensor to obtain a specific sensor; extracting a target scene corresponding to the specific sensor in the scene library based on the correlation to obtain a recommended scene; the target sensor or the recommended scene is a matching result.

7. A temperature detection method based on a sensor according to claim 1, characterized in that: The correction method includes: the time unit is an instantaneous time point, the temperature fluctuation in the detection data is monitored based on the time unit, and a fluctuation value is preset. When the temperature fluctuation of adjacent time units in the detection data exceeds the fluctuation value, the detection data of the previous time unit is obtained to obtain the target temperature and the corresponding environment, the factor items where the specific environment and the corresponding environment are different are judged to obtain the correction factor items, the factor range corresponding to the factor item is extracted from the deviation information, the inclusion relationship between the factor range and the correction factor value is judged to obtain the result information, the deviation value is extracted from the deviation information based on the result information and combined with the value of the correction factor item to obtain the target deviation value, and the target deviation value is added to the target temperature based on the time unit to obtain the corrected temperature.

8. A temperature detection method based on a sensor according to claim 3, characterized in that: In the process of obtaining the temperature detection data of the temperature sensor in the variable environment to obtain the detected temperature, a difference range is preset, the detected temperature and the standard temperature of the variable environment are judged to obtain a difference value, and it is judged whether the difference value is within the difference range. When the difference value is not within the difference range, the temperature sensor is extracted to generate an alarm message, and the alarm message is sent to the user based on the feedback basic information.

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