A sensor-based temperature detection method

Abstract

The application discloses a kind of temperature detection methods based on sensor, it is related to temperature detection technical field.The application discloses a kind of temperature detection methods based on sensor, it is related to temperature detection technical field.The application discloses a kind of temperature detection methods based on sensor, it is related to temperature detection technical field.The application discloses a kind of temperature detection methods based on sensor, it is related to temperature detection technical field.The application discloses a kind of temperature detection methods based on sensor, it is related to temperature detection technical field.The application discloses a kind of temperature detection methods based on sensor, it is related to temperature detection technical field.The application discloses a kind of temperature detection methods based on sensor, it is related to temperature detection technical field.The application discloses a kind of temperature detection methods based on sensor, it is related to temperature detection technical field.The application discloses a kind of temperature detection methods based on sensor, it is related to temperature detection technical field.The application discloses a kind of temperature detection methods based on sensor, it is related to temperature detection technical field.The application discloses a kind of temperature detection methods based on sensor, it is related to temperature detection technical field.The application discloses a kind of temperature detection methods based on sensor, it is related to temperature detection technical field.The application discloses a kind of temperature detection methods based on sensor, it is related to temperature detection technical field.The application discloses a kind of temperature detection methods based on sensor, it is related to temperature detection technical field.The application discloses a kind of temperature detection methods based on sensor, it is related to temperature detection technical field.The application discloses a kind of temperature detection methods based on sensor, it is related to temperature detection technical field.The application discloses a kind of temperature detection methods based on sensor, it is related to temperature detection technical field.The application discloses a kind of temperature

Description

Technical Field

[0001] This invention relates to the field of temperature detection technology, specifically a sensor-based temperature detection method. Background Technology

[0002] Temperature is a physical quantity used to represent the thermal state of an object or environment. It reflects the energy of molecular motion within an object. Temperature detection is ubiquitous, permeating our lives and work, and plays a vital role in safety, health, and the environment.

[0003] Patent publication number CN117606634A discloses a high-efficiency temperature detection method and temperature sensor based on a temperature sensor. The method includes a probe module, a probe processing module, and a display module. The probe module contains a thin-film sensor without an intermediate conductive medium. The probe processing module includes a data acquisition module, a data storage module, a model building module, and a temperature analysis module. The thin-film sensor acquires relevant parameters, and the temperature value is analyzed by temperature difference analysis combined with data from the data acquisition module. The final temperature value is then displayed on the display module. This invention allows the sensor to directly contact the outer casing, resulting in fast conduction speed and improved detection efficiency. Furthermore, by combining other data acquired by the data acquisition module, it eliminates the need for multiple sensors to improve detection accuracy, thus simplifying and quickly improving the accuracy of temperature detection.

[0004] Different application scenarios, different measurement environments, and temperature requirements necessitate different types of sensors. To improve efficiency and ensure the accuracy and precision of temperature measurements, suitable temperature sensors should be provided based on the application scenario and user needs. The selection of temperature sensors is crucial. When an unsuitable sensor is selected for the measurement environment and temperature, inaccurate measurement results and errors will result. Temperature detection methods based on the above and similar principles have the drawback of not being able to automatically recommend suitable temperature sensors based on user needs. Consequently, the selection of temperature sensors is inefficient under different measurement environments and temperature requirements. Furthermore, temperature sensor readings are affected by environmental factors, leading to measurement errors. If these errors are not corrected, the accuracy of temperature measurement results will be low. Therefore, this invention is proposed. Summary of the Invention

[0005] The purpose of this invention is to provide a sensor-based temperature detection method to solve the problems mentioned in the background art.

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

[0007] Data acquisition: Acquire user needs and feedback address information, identify usable sensors as temperature sensors, and obtain the address information to send information to the user.

[0008] Data processing: Based on the temperature sensor, a suitable scene for the temperature sensor to work is generated through a construction method to obtain the 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.

[0009] Recommended matching: Based on user needs and relevance, matching methods are used to match in the repository and scenario library to obtain matching results. 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 according to the matching results.

[0010] Deviation acquisition: Based on temperature sensors, different environments are constructed using deviation acquisition methods to obtain deviation information and target environment, and the correlation between deviation information and target environment is established;

[0011] Correction Processing: The temperature data during the temperature detection process is recorded in real time to obtain the detection data. The environmental information at the temperature detection point is acquired in real time to obtain the specific environment. The time unit is preset, and the detection data is corrected based on the deviation information through the correction method to obtain the corrected temperature.

[0012] Feedback output: The corrected temperature will be sent to the user based on the feedback address information;

[0013] The deviation acquisition method includes: presetting a base environment and a base temperature, the base environment including several factors, acquiring temperature detection data of a temperature sensor in the base environment to obtain a target temperature, adjusting a single factor in the base environment through an adjustment method to obtain several variable environments and a standard temperature corresponding to the variable environments, integrating the variable environments and standard temperatures to obtain change data, integrating the target temperature, base environment and base temperature to obtain base data, and obtaining deviation information based on the base data and change data by using a trend acquisition method to obtain the deviation relationship between the changes in factor items and the temperature detected by the temperature sensor, where the variable environment is the target environment;

[0014] The trend acquisition method includes: acquiring temperature detection data from a temperature sensor under variable conditions to obtain the detection temperature; establishing a correspondence between the variable environment, the detection temperature, and the standard temperature; dividing the variable environment into several groups based on changes in the same factor item to obtain several group environments; extracting any one group environment to obtain the environment to be detected; extracting the changing factor item in the environment to be detected to obtain the target factor; obtaining the difference in the value of adjacent factor in the target factor based on the adjustment unit; extracting adjacent factors from the target factor to obtain several groups of adjacent factors; extracting the detection temperature and standard temperature of adjacent factors based on the correspondence to obtain several groups of adjacent temperatures, where adjacent temperatures include reference temperature and baseline temperature; and obtaining deviation information based on several groups of adjacent factors and several groups of adjacent temperatures through a judgment method.

[0015] Furthermore, the adjustment method includes: presetting the adjustment unit and the number of environments; sequentially selecting the factor items to be adjusted based on the basic environment to obtain the 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 several variable environments; and obtaining the temperature under the variable environments to obtain the standard temperature corresponding to the variable environments.

[0016] Furthermore, the judgment method includes: obtaining a pre-value based on the difference between the reference temperature and the baseline temperature in adjacent temperatures according to adjacent factors; obtaining a deviation sub-value by obtaining the proportional relationship between the pre-value and the difference in adjacent factors; 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 deviation information; when 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 sub-value and the second deviation sub-value to obtain a deviation value; integrating the deviation value and the factor range to obtain deviation information.

[0017] Furthermore, the construction method includes: acquiring suitable working factor data 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 the target scenario.

[0018] Furthermore, the matching method includes: obtaining a target need based on user needs, where the target need includes a demand scenario or a demand sensor; when the target need is a demand scenario, retrieving a target scenario corresponding to the demand scenario from the scenario library to obtain a specific scenario; extracting a temperature sensor corresponding to the specific scenario from the storage library based on correlation to obtain a target sensor; when the target need is a demand sensor, retrieving a temperature sensor corresponding to the demand sensor from the storage library based on the demand sensor to obtain a specific sensor; and extracting a target scenario corresponding to the specific sensor from the scenario library based on correlation to obtain a recommended scenario, where the target sensor or recommended scenario is the matching result.

[0019] Furthermore, the correction method includes: using instantaneous time points as the time unit, monitoring temperature fluctuations in the detection data based on the time unit, setting a preset fluctuation value, and when the temperature fluctuation in adjacent time units in the detection data exceeds the fluctuation value, acquiring the detection data of the previous time unit to obtain the target temperature and corresponding environment, determining the factors that differ between the specific environment and the corresponding environment to obtain correction factors, extracting the factor range corresponding to the factor item 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 the target deviation value, and adding the target deviation value to the target temperature based on the time unit to obtain the corrected temperature.

[0020] Furthermore, in the process of obtaining the temperature detection data of the temperature sensor under variable environment to obtain the detection temperature, a preset difference range is set, the difference value between the detection temperature and the standard temperature of the variable environment is determined, and it is determined whether the difference value is within the difference range. If the difference value is not within the difference range, the temperature sensor is extracted to generate alarm information, and the alarm information is sent to the user based on the feedback basic information.

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

[0022] This sensor-based temperature detection method, through a set matching method, can recommend temperature sensors or usage scenarios that are suitable for user needs based on correlation, thereby improving the efficiency of temperature sensor selection and further enhancing the efficiency of temperature detection. During the temperature detection process using the temperature sensor, deviation information related to the environment and temperature and the target environment can be obtained through the deviation acquisition method. Then, the temperature sensor detection data can be corrected by using the deviation information and the target environment through the correction method, thereby improving the accuracy of the temperature detection results.

[0023] Simultaneously, by adjusting individual factors in the base environment sequentially using the set adjustment method, several variable environments and corresponding standard temperatures are obtained. During this process, only one factor differs in all variable environments, meaning that each variable environment is obtained by adjusting one factor in the base environment. Through trend acquisition, the deviation information is obtained by determining the deviation relationship between the factor changes and the temperature sensor detection data based on the change data and the base data. By judging whether the deviation sub-values ​​in all adjacent factors are consistent, factor values ​​with consistent deviation sub-values ​​can be combined to obtain a factor range, thereby reducing the amount of stored data and improving the correction efficiency of subsequent correction methods.

[0024] Simultaneously, during the feedback output phase, 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 of the corrected temperature can be recorded to obtain the correction record, which is also sent to the user so that the user can further understand the detection of the temperature sensor. By setting a difference range, the temperature sensor is judged to be damaged by judging whether the difference 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 so that the damaged temperature sensor can be adjusted in time to improve the temperature detection accuracy. Attached Figure Description

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

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

[0027] Figure 3 This is a schematic diagram of the determination method of the present invention;

[0028] Figure 4 This is a schematic diagram of the adjacent factor structure of the present invention. Detailed Implementation

[0029] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0030] In the cold storage of a large food processing plant, 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 environment inside the cold storage is relatively humid, and the temperature sensor readings are affected by environmental factors (such as humidity and air pressure) at different times, resulting in measurement errors. By obtaining information on the deviation between environmental factors and the detection data, the detection data is corrected to obtain a corrected temperature, thereby improving the accuracy of the detected temperature.

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

[0032] Data acquisition: Acquire user needs and feedback address information, identify usable sensors as temperature sensors, and obtain the address information to send information to the user.

[0033] Data processing: Based on the temperature sensor, a suitable scene for the temperature sensor to work is generated through a construction method to obtain the 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.

[0034] Recommended matching: Based on user needs and relevance, matching methods are used to match in the repository and scenario library to obtain matching results. 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 according to the matching results.

[0035] Deviation acquisition: Based on temperature sensors, different environments are constructed using deviation acquisition methods to obtain deviation information and target environment, and the correlation between deviation information and target environment is established;

[0036] Correction Processing: The temperature data during the temperature detection process is recorded in real time to obtain the detection data. The environmental information at the temperature detection point is acquired in real time to obtain the specific environment. The time unit is preset, and the detection data is corrected based on the deviation information through the correction method to obtain the corrected temperature.

[0037] Feedback output: The corrected temperature will be sent to the user based on the feedback address information;

[0038] It is important to note that during the data acquisition phase, both user requirements and feedback address information are obtained from the user. User requirements refer to the user's needs for temperature detection, such as the required environment and the type of temperature sensor. Feedback address information includes the user's address information, such as IP address, phone number, and email address. During the data processing phase, the target scenario is obtained by constructing a suitable operating environment for the temperature sensor based on the temperature sensor's instruction manual using the set construction method. By establishing a correlation between the temperature sensor and the target scenario, it becomes easy to find the corresponding target scenario based on the correlation, or vice versa. This facilitates subsequent matching based on user requirements. In the recommended matching phase, the set matching method can be used to combine user requirements with the correlation to... The system recommends temperature sensors or usage scenarios that match user needs, improving the efficiency of temperature sensor selection and further enhancing temperature detection efficiency. In the deviation acquisition stage, the deviation of the temperature sensor under different environments is obtained through deviation acquisition methods, providing deviation information and the target environment. This information facilitates subsequent correction methods to adjust the temperature sensor's detection data, improving the accuracy of temperature detection results. In the correction processing stage, the set correction method corrects the detection data based on the deviation information. In the feedback output stage, the corrected temperature is sent to the user so they can understand the corrected temperature. Simultaneously, the system records the time points and modified data during temperature correction, creating a correction record, which is also sent to the user for further understanding of the temperature sensor's detection capabilities.

[0039] The deviation acquisition method includes: presetting a base environment and base temperature, the base environment including several factors, acquiring the temperature detection data of the temperature sensor under the base environment to obtain the target temperature, adjusting a single factor in the base environment through an adjustment method to obtain several variable environments and the standard temperature corresponding to the variable environments, integrating the variable environments and the standard temperature to obtain change data, integrating the target temperature, base environment and base temperature to obtain base data, and using the base data and change data, obtaining the deviation information by using a trend acquisition method to obtain the deviation relationship between the changes in the factors and the temperature detected by the temperature sensor, with the variable environment being the target environment.

[0040] It is important to note that the base environment is designed based on actual usage. Specifically, a container can be created, and data such as humidity, temperature, and pressure within the container can be directionally adjusted to facilitate subsequent sample collection. The base temperature is the actual temperature of the base environment, which can be obtained by using a high-precision temperature measuring instrument. The detection points of the temperature sensor and the temperature measuring instrument must be consistent to ensure the accuracy of deviations. The target temperature is the temperature obtained by the temperature sensor at the detection point in the base environment. Through the set adjustment method, several variable environments and their corresponding standard temperatures are obtained by sequentially adjusting individual factors in the base environment. In this process, only one factor differs in all variable environments; that is, each variable environment is obtained by adjusting one factor in the base environment. Using a trend acquisition method, the deviation relationship between the changing data and the base data and the factor changes leading to deviations in the temperature sensor's detection data is obtained, providing deviation information. This deviation information facilitates the correction method to adjust the temperature sensor's detection data, thereby improving the temperature detection results.

[0041] The adjustment method includes: presetting the adjustment unit and the number of environments; selecting the factor items to be adjusted sequentially based on the basic environment to obtain the 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 several variable environments; and obtaining the temperature under the variable environments to obtain the standard temperature corresponding to the variable environments.

[0042] It is important to note that the adjustment unit and the number of environments are determined based on 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; when the factor item is pressure, the adjustment unit is 1 Pa, etc. The process of sequentially selecting the factor items to be adjusted based on the basic environment to obtain the target factor item can also be randomly selected, depending on the actual usage requirements. The process of increasing and decreasing 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 cumulatively increase and decrease the adjustment unit of the target factor item in the basic environment to obtain several variable environments. The number of variable environments is consistent with the number of environments. The process of obtaining the standard temperature corresponding to the variable environment by obtaining the temperature in the variable environment can be achieved by using a high-precision temperature detection instrument to detect the temperature at a fixed detection point in the variable environment.

[0043] like Figure 4As shown, the trend acquisition method includes: acquiring temperature detection data from a temperature sensor under variable conditions to obtain the detection temperature; establishing a correspondence between the variable environment, the detection temperature, and the standard temperature; dividing the variable environment into several groups based on changes in the same factor item to obtain several group environments; extracting any one group environment to obtain the environment to be detected; extracting the changing factor item in the environment to be detected to obtain the target factor; obtaining the difference in the values ​​of adjacent factors in the target factor based on the adjustment unit; extracting adjacent factors from the target factor to obtain several groups of adjacent factors; extracting the detection temperature and standard temperature of adjacent factors based on the correspondence to obtain several groups of adjacent temperatures, including reference temperature and baseline temperature; and obtaining deviation information based on several groups of adjacent factors and several groups of adjacent temperatures through a judgment method.

[0044] It's important to note that the process of obtaining the temperature detection data from a temperature sensor under varying conditions involves using the sensor at a fixed detection point within that environment. By establishing a correspondence between the varying environment, the detection temperature, and the standard temperature, it's easy to find the corresponding detection and standard temperatures. The process of grouping the varying environment into several groups based on changes in the same factor involves classifying environments where a single factor changes into a group to understand the impact of that change on the detection temperature. Finally, the process of extracting any one of these groups to obtain the environment to be tested can be done randomly or selectively, depending on the specific application. Once the requirements are defined, all group environments need to be transformed into test environments for subsequent operations. The order of operations is determined by the staff. The process of extracting changing factors from the test environment to obtain target factors involves extracting factors with different values ​​from the test environment to obtain target factors. Based on the adjustment unit, the difference in values ​​of adjacent factors in the target factor is obtained. The difference in values ​​of adjacent factors is consistent with the adjustment unit. Several groups of adjacent factors are obtained from the target factors. Each target factor has two adjacent factors, specifically left and right. The adjacent factors are extracted after sorting the target factors by value. The deviation information can be obtained by judging the adjacent factors and adjacent temperatures generated by the change of a single factor item through the set judgment method, so that subsequent correction methods can be used.

[0045] like Figure 3As shown, the judgment method includes: obtaining the pre-value based on the difference between the reference temperature and the baseline temperature in adjacent temperatures; obtaining the deviation sub-value by obtaining the proportional relationship between the pre-value and the difference in adjacent factors; 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 the 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 inconsistent, extracting the factor values ​​with consistent deviation sub-values ​​and integrating them to obtain the first factor range and the first deviation sub-value; extracting the factor values ​​with inconsistent deviation sub-values ​​and their adjacent factor values ​​to obtain the second factor range and the second deviation sub-value; integrating the first factor range and the second factor range to obtain the factor range; integrating the first deviation sub-value and the second deviation sub-value to obtain the deviation value; integrating the deviation value and the factor range to obtain the deviation information.

[0046] It is important to note that Figure 3 In the diagram, A represents the case where the deviation sub-values ​​of all adjacent factors are consistent; the deviation sub-values ​​of the deviation sub-value lines are always consistent. Figure 4 In the case of B, when the deviation sub-values ​​of 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 based on the difference between the reference temperature and the baseline temperature in adjacent temperatures, 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 the deviation between the temperature detected by the temperature sensor and the actual temperature under the factor item in the adjacent factors. In the process of obtaining the deviation sub-value by obtaining the ratio between the predicted value and the difference in adjacent factors, the number of deviation sub-values ​​in a single adjacent factor is also two. By judging 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, thereby reducing the amount of stored data and improving the correction efficiency of subsequent correction methods.

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

[0048] It is important to note that the process of obtaining target factor data to determine the suitable operating conditions of the temperature sensor can be achieved by consulting the temperature sensor's instruction manual. The preset adjustment parameters can be set according to the instruction manual, or through online searches or by experienced engineers. By adding the preset adjustment parameters to the target factor data, the minimum and maximum environmental conditions that the temperature sensor can adapt to can be obtained, thereby determining the range of scenarios in which the temperature sensor can be used for temperature detection.

[0049] like Figure 1 As shown, the matching method includes: obtaining the target requirement based on user needs, which includes a requirement scenario or a requirement sensor; when the target requirement is a requirement scenario, retrieving the target scenario corresponding to the requirement scenario from the scenario library to obtain a specific scenario; extracting the temperature sensor corresponding to the specific scenario from the storage library based on correlation to obtain the target sensor; when the target requirement is a requirement sensor, retrieving the temperature sensor corresponding to the requirement sensor from the storage library based on the requirement sensor to obtain the specific sensor; and extracting the target scenario corresponding to the specific sensor from the scenario library based on correlation to obtain a recommended scenario. The target sensor or recommended scenario is the matching result.

[0050] It is important to note that by setting the matching method, the system can recommend temperature sensors and usage scenarios that meet the user's needs. The specific user needs can be the required scenario and the required sensor. When the user's need is the required scenario, the system will provide the user with a temperature sensor that meets the required scenario. When the user's need is the required sensor, the system will provide the user with a target scenario for temperature detection that meets the required sensor, so as to improve the accuracy and efficiency of temperature detection.

[0051] like Figure 2 As shown, the correction method includes: the time unit is an instantaneous time point; temperature fluctuations in the monitoring and detection data are based on the time unit; a preset fluctuation value is set; when the temperature fluctuation in 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; factors that differ between the specific environment and the corresponding environment are identified to obtain correction factors; 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 determined to obtain result information; based on the result information, the deviation value is extracted from the deviation 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.

[0052] It is important to note that the corresponding environment and the specific environment refer to the scene environment within adjacent time units. The size of the time unit is preset according to actual usage requirements, specifically one second, five seconds, or ten seconds. The correction method specifically runs when the specific environment changes, causing a temperature change. It uses the detection data before the specific environment changes as the matrix, and reverses the differences in readings caused by changes in factors in the specific environment to the matrix to obtain the corrected temperature. The process of identifying the factors that differ between the specific environment and the corresponding environment to obtain the correction factors involves determining the number and specific factors that differ. During the correction process, the range of factors that differ is determined for each individual factor, and the target deviation value is obtained by combining the obtained deviation value with the value of the correction factor. Based on the time unit, the target deviation value is added to the detection data to obtain the corrected temperature. By using the time unit, the addition of the target deviation value is more accurate, thus making the temperature detection results more accurate.

[0053] In the process of obtaining the temperature detection data of the temperature sensor under variable environment, a preset difference range is set, and the difference value between the detected temperature and the standard temperature of the variable environment is determined. It is then determined whether the difference value is within the difference range. If 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 is important to note that sensor performance may drift over time and with use. By setting a preset difference range, the temperature sensor is judged to be damaged by checking whether the difference 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 so that the damaged temperature sensor can be adjusted in time to improve the temperature detection accuracy. The size of the difference range is determined according to the actual use, such as 5 degrees Celsius, and it is used as the standard for judging whether the temperature sensor is damaged.

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

Claims

1. A temperature detection method based on a sensor, characterized in that: The method includes: Data acquisition: Acquire user needs and feedback address information, identify usable sensors as temperature sensors, and obtain the address information to send information to the user. Data processing: Based on the temperature sensor, a suitable scene for the temperature sensor to work is generated through a construction method to obtain the 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 user needs and relevance, matching methods are used to match in the repository and scenario library to obtain matching results. 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 according to the matching results. Deviation acquisition: Based on temperature sensors, different environments are constructed using deviation acquisition methods to obtain deviation information and target environment, and the correlation between deviation information and target environment is established; Correction Processing: The temperature data during the temperature detection process is recorded in real time to obtain the detection data. The environmental information at the temperature detection point is acquired in real time to obtain the specific environment. The time unit is preset, and the detection data is corrected based on the deviation information through the correction method to obtain the corrected temperature. Feedback output: The corrected temperature will be sent to the user based on the feedback address information; The deviation acquisition method includes: presetting a base environment and a base temperature, the base environment including several factors, acquiring temperature detection data of a temperature sensor in the base environment to obtain a target temperature, adjusting a single factor in the base environment through an adjustment method to obtain several variable environments and a standard temperature corresponding to the variable environments, integrating the variable environments and standard temperatures to obtain change data, integrating the target temperature, base environment and base temperature to obtain base data, and obtaining deviation information based on the base data and change data by using a trend acquisition method to obtain the deviation relationship between the changes in factor items and the temperature detected by the temperature sensor, where the variable environment is the target environment; The trend acquisition method includes: acquiring temperature detection data from a temperature sensor under variable conditions to obtain the detection temperature; establishing a correspondence between the variable environment, the detection temperature, and the standard temperature; dividing the variable environment into several groups based on changes in the same factor item to obtain several group environments; extracting any one group environment to obtain the environment to be detected; extracting the changing factor item in the environment to be detected to obtain the target factor; obtaining the difference in the value of adjacent factor in the target factor based on the adjustment unit; extracting adjacent factors from the target factor to obtain several groups of adjacent factors; extracting the detection temperature and standard temperature of adjacent factors based on the correspondence to obtain several groups of adjacent temperatures, where adjacent temperatures include reference temperature and baseline temperature; and obtaining deviation information based on several groups of adjacent factors and several groups of adjacent temperatures through a judgment method.

2. The temperature detection method based on a sensor according to claim 1, characterized in that: The adjustment method includes: presetting the adjustment unit and the number of environments; selecting the factor items to be adjusted sequentially based on the basic environment to obtain the 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 several variable environments; and obtaining the temperature under the variable environments to obtain the standard temperature corresponding to the variable environments.

3. The temperature detection method based on a sensor according to claim 1, characterized in that: The judgment method includes: obtaining a pre-value based on the difference between the reference temperature and the baseline temperature in adjacent temperatures according to adjacent factors; obtaining a deviation sub-value by obtaining the proportional relationship between the pre-value and the difference in adjacent factors; 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 deviation information; when 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 sub-value and the second deviation sub-value to obtain a deviation value; integrating the deviation value and the factor range to obtain deviation information.

4. The temperature detection method based on a sensor according to claim 1, characterized in that: The construction method includes: acquiring target factor data by obtaining suitable working factor data of the temperature sensor; 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.

5. The temperature detection method based on a sensor according to claim 1, characterized in that: The matching method includes: obtaining target needs based on user needs, where target needs include demand scenarios or demand sensors; when the target needs are demand scenarios, retrieving target scenarios corresponding to the demand scenarios from the scenario library to obtain specific scenarios based on demand scenarios; extracting temperature sensors corresponding to the specific scenarios from the storage library based on correlation to obtain target sensors; when the target needs are demand sensors, retrieving temperature sensors corresponding to the demand sensors from the storage library based on demand sensors to obtain specific sensors; and extracting target scenarios corresponding to the specific sensors from the scenario library based on correlation to obtain recommended scenarios. The target sensor or recommended scenario is the matching result.

6. The temperature detection method based on a sensor according to claim 1, characterized in that: The correction method includes: using instantaneous time points as the time unit, monitoring temperature fluctuations in the detection data based on the time unit, setting a preset fluctuation value, and when the temperature fluctuation in adjacent time units in the detection data exceeds the fluctuation value, acquiring the detection data of the previous time unit to obtain the target temperature and corresponding environment, identifying factors that differ between the specific environment and the corresponding environment to obtain correction factors, extracting the factor range corresponding to the factor item 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 the target deviation value, and adding the target deviation value to the target temperature based on the time unit to obtain the corrected temperature.

7. The temperature detection method based on a sensor according to claim 1, characterized in that: In the process of obtaining the temperature detection data of the temperature sensor under variable environment to obtain the detection temperature, a preset difference range is set, the difference value between the detection temperature and the standard temperature of the variable environment is determined, and it is determined whether the difference value is within the difference range. If the difference value is not within the difference range, the temperature sensor is extracted to generate alarm information, and the alarm information is sent to the user based on the feedback basic information.

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