CN116086648A - Temperature detection method and detection host - Google Patents

Temperature detection method and detection host Download PDF

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Publication number
CN116086648A
CN116086648A CN202211723354.XA CN202211723354A CN116086648A CN 116086648 A CN116086648 A CN 116086648A CN 202211723354 A CN202211723354 A CN 202211723354A CN 116086648 A CN116086648 A CN 116086648A
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data
acquisition
detection
value
temperature
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刘琦
王冲峰
梁雷
付海军
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Beijing Const Instruments Technology Inc
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Beijing Const Instruments Technology Inc
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K13/00—Thermometers specially adapted for specific purposes
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K15/00—Testing or calibrating of thermometers
    • G01K15/002—Calibrated temperature sources, temperature standards therefor
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K15/00—Testing or calibrating of thermometers
    • G01K15/005—Calibration

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  • General Physics & Mathematics (AREA)
  • Arrangements For Transmission Of Measured Signals (AREA)

Abstract

The application provides a temperature detection method and a detection host, wherein the temperature detection method is characterized in that firstly sampling is continuously carried out according to a preset sampling frequency, after an acquired sample meets an acquisition condition, pre-acquisition data are recorded, then a group of detection data for evaluating detected equipment is obtained by screening in the pre-acquisition data according to other conditions, and finally the relevant performance of the detected equipment is evaluated according to the detection data and a target temperature value. The method provided by the application does not need a continuous stability judging stage in the traditional scheme, so that the continuous stability judging standard is avoided being set, and the problems existing in the prior art are fundamentally solved.

Description

Temperature detection method and detection host
Technical Field
The application belongs to the field of temperature detection, and particularly relates to a temperature detection method and a detection host.
Background
Environmental test equipment such as humiture case can provide specific temperature and/or temperature field for activities such as industrial process, measurement detect, in order to ensure that environmental test equipment can provide accurate temperature field temperature, usually, before leaving the factory or before using generally need carry out check-up etc. to guarantee that indexes such as temperature that it provided have higher degree of accuracy.
In the prior art, the temperature detection method comprises the steps of firstly enabling detected equipment (namely the environmental test equipment) to control a detected temperature field to reach a state of stable temperature as far as possible, measuring the temperature in the detected temperature field by using temperature measuring equipment such as a standard sensor after the detected temperature field is stable so as to obtain the actual temperature of the detected temperature field, generally, according to different types of the detected equipment, the actual temperature measurement needs to be continued for a specific detection time period to obtain detection data, wherein the detection data comprises a group of data distributed according to detection frequency within the detection time period, and the detected equipment can be detected by using the detection data.
Because the condition of the detected equipment is in an unknown state before detection, and what kind of index is adopted to accurately judge that the detected temperature field is in a stable state cannot be determined, the temperature judgment is generally carried out by adopting the following means in the prior art:
firstly determining a stability judging index according to indexes such as factory setting of the detected equipment;
when the detected equipment reaches the stability judging index, the temperature acquisition is not immediately performed, but a period of time (for example, 30 min) is waited for, and if the detected equipment still can keep a state conforming to the stability judging index during the waiting period, the detected equipment can be regarded as really reaching the stable state, and the acquisition of detection data can be performed, so that the detected equipment is detected.
The foregoing scheme has problems: the factory setting can only be used as one reference data of the inspected equipment, and the actual condition of the inspected equipment can be better than the factory setting, namely, the stability judging standard setting is lower, and the stability judging standard setting is worse.
If the stability judging standard is set higher and the temperature control stability of the detected equipment is relatively poor, the detected equipment may reach a stability control state, but the temperature fluctuation still does not meet the requirement of the continuous stability judging stage, at this time, even if the data acquisition stage is forcedly started at a certain time point, the reliability and the fairness of the data acquisition are difficult to ensure;
if the stability judging standard is set too low, and the temperature control stability of the detected equipment is relatively good, or the temperature control rate of the detected equipment is relatively slow, the detected equipment may not reach the stability control state, the temperature change of the detected equipment meets the requirement of the continuous stability judging stage and enters the data acquisition stage, at this time, the acquired temperature check data is obviously inferior to the actual performance condition of the detected equipment, and the reliability and the fairness required by the data acquisition are not met.
Disclosure of Invention
In order to solve the problems in the prior art, the application provides a temperature detection method and a detection host, wherein the temperature detection method is characterized in that firstly sampling is continuously carried out according to preset sampling frequency, pre-sampling data are recorded after the acquired sample meets the acquisition condition, a group of detection data for evaluating the detected equipment is obtained by screening in the pre-sampling data according to other conditions, and finally the relevant performance of the detected equipment is evaluated according to the detection data and a target temperature value. The method provided by the application does not need a continuous stability judging stage in the traditional scheme, so that the continuous stability judging standard is avoided being set, and the problems existing in the prior art are fundamentally solved.
The object of the present application is to provide the following aspects:
in a first aspect, the present application provides a temperature detection method, where the temperature detection method is applied to a temperature detection system, where the temperature detection system is used to detect a detected device, where the detected device is used to generate a detected temperature field, the temperature detection system includes a data processing device, a data collecting device, and a temperature measuring device, where the temperature measuring device is used to measure the detected temperature field, the data collecting device is used to collect measurement data of the temperature measuring device, and the data processing device is used to process the measurement data; the temperature detection method comprises the following steps: the data acquisition device acquires a target temperature value and an acquisition condition, wherein the target temperature value is used for indicating the detected equipment to control the detected temperature field, and the acquisition condition comprises that the deviation between the measured data and the target temperature value is smaller than or equal to a first deviation threshold value and/or the fluctuation range of the measured data is smaller than or equal to a first fluctuation threshold value; the data acquisition device acquires acquisition time length and acquisition frequency, wherein the acquisition time length is longer than detection time length, the acquisition frequency is equal to or multiple of detection frequency, and the detection time length and the detection frequency are determined based on the detection requirement of the detected equipment; the data acquisition device periodically acquires the measurement data from the temperature measurement equipment, compares the measurement data with the acquisition conditions, continuously acquires the measurement data according to the acquisition frequency within the acquisition time length when the measurement data reach the acquisition conditions, and stores the measurement data as first pre-acquisition data; the data processing equipment processes the first pre-sampling data to obtain at least two groups of first pre-detection data, wherein each group of first pre-detection data comprises the first pre-sampling data distributed according to the detection frequency in the detection duration, and the first pre-detection data of different groups are at least partially different; the data processing equipment compares the first pre-detection data of each group and outputs at least one group of the first pre-detection data as detection data; and the data processing equipment detects the detected equipment according to the detection data and the target temperature value.
In combination with the temperature detection method of the first aspect, the comparing the first pre-detection data of each group, and outputting at least one group of the first pre-detection data as detection data includes: respectively calculating evaluation parameters of each group of the first pre-detection data, wherein the evaluation parameters comprise one of deviation values, average values and fluctuation degrees; and outputting a group of first pre-detection data with the optimal evaluation parameters as the detection data.
In combination with the temperature detection method of the first aspect, the processing the first pre-sampling data to obtain at least two groups of first pre-sampling data includes: obtaining a first screening function according to the change information of the first pre-sampling data; processing the first pre-sampling data according to the first screening function to obtain second pre-sampling data, so that the deviation between the second pre-sampling data and the target temperature value is smaller than or equal to a second deviation threshold value, and/or the fluctuation range of the second pre-sampling data is smaller than or equal to a second fluctuation threshold value, the second deviation threshold value is smaller than the first deviation threshold value, and the second fluctuation threshold value is smaller than the first fluctuation threshold value; and processing the second pre-sampling data to obtain at least two groups of first pre-detection data, wherein each group of first pre-detection data comprises the second pre-sampling data distributed according to the detection frequency in the detection duration.
Further, the temperature measurement device includes a main sensor and at least one other sensor, and the obtaining a first screening function according to the change information of the first pre-sampling data includes: determining first main pre-sampling data, wherein the first main pre-sampling data is that the main sensor corresponds to the first pre-sampling data; obtaining the first screening function according to the change information of the first main pre-sampling data; processing the first main pre-sampling data according to the first screening function to obtain second main pre-sampling data, so that the deviation between the second main pre-sampling data and the target temperature value is smaller than or equal to a second deviation threshold value, and/or the fluctuation range of the second main pre-sampling data is smaller than or equal to a second fluctuation threshold value; determining second other pre-acquisition data, the second other pre-acquisition data and the second main pre-acquisition data having the same acquisition time and originating from the at least one other sensor; and processing the second main pre-sampling data and the second other pre-sampling data to obtain at least two groups of first pre-detection data.
Optionally, the comparing the first pre-detection data of each group, and outputting at least one group of the first pre-detection data as detection data includes: determining an evaluation parameter, the evaluation parameter comprising at least one of a deviation value, an average value, and a waviness; calculating parameter values of the evaluation parameters for each group of the first pre-detection data respectively; and screening the first pre-detection data of each group based on the parameter value of the evaluation parameter, and determining at least one group of the first pre-detection data as the detection data.
Further, the calculating the parameter value of the evaluation parameter for each group of the first pre-inspection data includes: the evaluation parameters comprise at least two different single parameters, wherein the single parameters are one of deviation values, average values and fluctuation degrees; the evaluation parameter further comprises a single weight function, wherein the single weight function is used for determining a single influence proportion of the single parameter in the calculation of the total value of the evaluation parameter; and respectively calculating the total value of the evaluation parameters of each group of the first pre-inspection data according to the single weight function, and screening the first pre-inspection data of each group.
Further, the single weighting function is configured to: generating a weight function value corresponding to the single parameter by taking the single parameter as an independent variable; when the independent variable changes at one side of a first single threshold value, the weight function value monotonically changes along with the independent variable, and the first single threshold value is the theoretical optimal value of the single parameter; a second single threshold divides the independent variable into two first change intervals and second change intervals, wherein the first change intervals comprise the first single threshold and the second single threshold, the weight function value corresponding to the first change interval is discontinuous with the weight function value corresponding to the second change interval, and the second single threshold is the maximum allowable error of the single parameter; when the independent variable is positioned in the first variation interval, a first weight function value has smaller variation along with the variation of the independent variable, a second weight function value has larger variation along with the variation of the independent variable, the first weight function value is generated when the independent variable is relatively close to the first single threshold value, and the second weight function value is generated when the independent variable is relatively far away from the first single threshold value; when the independent variable is located in the second variation interval, a third weight function value has smaller variation along with the variation of the independent variable, a fourth weight function value has larger variation along with the variation of the independent variable, the third weight function value is generated when the independent variable is relatively close to the second single threshold, and the fourth weight function value is generated when the independent variable is relatively far away from the second single threshold.
In a second aspect, the present application further provides a detection host, where the detection host is used for temperature detection, and specifically includes: the storage module is used for storing a data processing program; the communication module is used for acquiring measurement data; and the processing module is used for executing the data processing program and processing the measurement data according to the data processing equipment of the first aspect.
With reference to the detection host according to the second aspect, the storage module further stores a detection control program; the communication module is in signal connection with temperature measurement equipment, and the temperature measurement equipment is used for measuring the temperature field of the detected equipment; the processing module is configured to execute the detection control program, including: acquiring a target temperature value and acquisition conditions, wherein the target temperature value is used for indicating the detected equipment to control a temperature field, and the acquisition conditions comprise that the deviation between the measured data and the target temperature value is smaller than or equal to a first deviation threshold value and/or the fluctuation range of the measured data is smaller than or equal to a first fluctuation threshold value; acquiring acquisition time length and acquisition frequency, wherein the acquisition time length is longer than detection time length, the acquisition frequency is equal to or multiple of detection frequency, and the detection time length and the detection frequency are determined based on the detection requirement of the detected equipment; and periodically acquiring the measurement data from the communication module, comparing the measurement data with the acquisition conditions, continuously acquiring the measurement data in the acquisition time length when the measurement data reach the acquisition conditions, and storing the measurement data as first pre-acquisition data.
With reference to the detection host according to the second aspect, the storage module further stores a detection control program, the communication module is connected to a data acquisition device in a communication manner, and the data acquisition device is used for acquiring a temperature measurement device to obtain the measurement data; the processing module is configured to execute the detection control program, including: issuing a data acquisition task to the communication module, wherein the data acquisition task comprises an acquisition frequency which is equal to or multiple of a detection frequency, the detection frequency is determined based on the detection requirement of detected equipment, and the data acquisition equipment acquires temperature measurement equipment according to the data acquisition task; acquiring a target temperature value and acquisition conditions, wherein the target temperature value is used for indicating the detected equipment to control a temperature field, and the acquisition conditions comprise that the deviation between the measured data and the target temperature value is smaller than or equal to a first deviation threshold value and/or the fluctuation range of the measured data is smaller than or equal to a first fluctuation threshold value; acquiring an acquisition time length, wherein the acquisition time length is longer than a detection time length, and the detection time length is determined based on the detection requirement of the detected equipment; acquiring the measurement data from the communication module, comparing the measurement data with the acquisition conditions, and recording the current moment as the acquisition starting moment when the measurement data reach the acquisition conditions, and recording the current moment as the acquisition ending moment after the acquisition duration is continued; and determining the measurement data between the acquisition starting time and the acquisition ending time, and storing the measurement data as first pre-acquisition data.
With reference to the detection host according to the second aspect, the storage module further stores a detection control program, the communication module is used for being in communication connection with a data acquisition device, and the data acquisition device is used for acquiring a temperature measurement device to obtain the measurement data; the processing module is configured to execute the detection control program, including: acquiring a target temperature value and acquisition conditions, wherein the target temperature value is used for indicating detected equipment to control a temperature field, and the acquisition conditions comprise that the deviation between the measured data and the target temperature value is smaller than or equal to a first deviation threshold value and/or the fluctuation range of the measured data is smaller than or equal to a first fluctuation threshold value; acquiring acquisition time length and acquisition frequency, wherein the acquisition time length is longer than detection time length, the acquisition frequency is greater than or equal to detection frequency, and the detection time length and the detection frequency are determined based on the detection requirement of the detected equipment; generating a data acquisition task according to the target temperature value, the acquisition condition, the acquisition time length and the acquisition frequency; the data acquisition task is sent through the communication module, so that the data acquisition device periodically acquires the measurement data from the temperature measurement equipment and compares the measurement data with the acquisition conditions, and when the measurement data reach the acquisition conditions, the data acquisition device continuously acquires the measurement data within the acquisition duration and stores the measurement data as first pre-acquisition data; and acquiring the first pre-sampling data from the communication module.
In a third aspect, the present application also provides a computer readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the temperature detection method described in the first aspect above.
Compared with the prior art, the method and the system provided by the application do not comprise a continuous stability judging stage, the actual temperature of each sampling point is sampled immediately according to the time interval preset in the data acquisition stage after the temperature control stage is completed, the sampling is ended after the sampling time length reaches the preset time length, the acquired samples are subjected to data analysis to generate check data, and finally the check result is screened from a plurality of data analysis results. The method provided by the application omits a continuous stability judging stage, so that the continuous stability judging standard is not required to be set, the problem that the stability judging standard is difficult to set is fundamentally solved, and the verification data obtained at different initial moments are mutually independent and are not influenced by each other according to the method provided by the application, so that the method has higher objectivity and fairness.
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FIG. 1 shows a schematic diagram of a temperature and humidity cabinet to be inspected;
fig. 2 shows a flow chart of a temperature detection method provided by the present application.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the invention. Rather, they are merely examples of methods consistent with aspects of the invention as detailed in the accompanying claims.
The temperature detection method and the detection host provided by the application are described in detail below through specific embodiments.
In this application, the assay includes, but is not limited to, certification, calibration, verification, or detection.
Specifically, the verification refers to determining whether the indication error of the measuring instrument meets the specified requirement through experiments by legal metering departments or legal authorized organizations according to verification rules.
In this example, the calibration refers to a set of operations to determine the gauge indication error under specified conditions.
In this example, the verification refers to determining whether the device under test fails under prescribed test conditions.
In this example, the detection refers to an inspection test.
It can be understood that the hardware device on which the scheme provided by the application depends is identical to the hardware device used in the temperature inspection method in the prior art, and the number of collected samples is greater than or equal to the number collected in the prior art, but the data processing manner based on the collected samples is completely different.
The temperature detection method is applied to a temperature detection system, wherein the temperature detection system is used for detecting detected equipment, and the detected equipment is used for generating a detected temperature field.
In this example, the device to be detected may have a sensor device or may have no sensor device, where the sensor device is provided with a temperature sensor inside the device to be detected, and the non-sensor device is provided with no temperature sensor inside the device to be detected, and determines whether the temperature inside the device to be detected reaches the temperature control temperature based on other factors such as a temperature rise time.
It will be appreciated that the data collected by the sensor device of the subject device itself cannot be used for temperature detection.
Further, the device to be tested has a temperature control function, and other functions, such as humidity control, may be added, and based on this, the device to be tested may be an incubator or a temperature and humidity box, for example.
In this application, temperature detection system includes data processing apparatus, data acquisition equipment and temperature measurement equipment, temperature measurement equipment is used for right the temperature field that is examined is measured, data acquisition equipment is used for right temperature measurement equipment carries out measurement data's collection, data processing apparatus is used for right measurement data carries out processing.
In this application, the data processing device may be an upper computer or a main control system.
In this application, the temperature measurement device may specifically be a standard temperature sensor, and it may be understood that each device to be tested may be configured with a plurality of standard temperature sensors as required.
Alternatively, if the temperature measuring device includes a plurality of standard sensors, one main standard sensor may be determined among the standard sensors, and the remaining standard sensors are other sensors.
In this application, the data acquisition device may be a sampler, and is only configured to read the temperature value acquired by the temperature measurement device, and upload the temperature value to the data processing device.
Fig. 1 shows a schematic diagram of a temperature and humidity box to be detected, as shown in fig. 1, in a preset position of a temperature and humidity field formed by the temperature and humidity box to be detected (001), that is, in a preset position inside the temperature and humidity box to be detected, 9 standard temperature probes (002) are respectively arranged, each standard temperature probe (002) is respectively arranged at upper four corners, lower four corners and a temperature field center in the temperature field to be detected, in this example, the standard temperature probe arranged at the temperature field center to be detected is determined to be a main standard sensor, and the rest standard temperature probes are other sensors.
It will be appreciated that in this example, the temperature data collected by the standard temperature probe (002) may be considered as a true temperature value, the collected temperature data being used for temperature detection.
Also, in this example, the humidity data collected by the standard humidity probe (003) can be regarded as a true humidity value, and the collected humidity data is used independently for humidity verification without affecting temperature verification.
The temperature detection method and the detection host provided in the present application will be described below by taking the detected device shown in fig. 1 as an example.
In this example, a data collector is used as the device for data collection and recording, where the data collector includes a plurality of measurement channels, and the aforementioned 9 standard temperature probes are respectively connected to the measurement channels of the data collector, so that the data collector can respectively measure, collect and record signals of the standard temperature probes and the standard humidity probes.
In this example, a target temperature value, for example, a target temperature of 30 ℃ is set on the temperature and humidity box to be inspected.
In this example, the calibration temperature control time of the temperature and humidity box is assumed to be 20min, and the calibration temperature control time refers to the time from the start of the temperature and humidity box to the stabilization of the target temperature and humidity value, which is measured when the temperature and humidity box is manufactured and shipped or during the previous verification operation.
Fig. 2 shows a flowchart of the temperature detection method provided by the present application, and as shown in fig. 2, the temperature detection method includes the following steps S100 to S600:
step S100, the data collector obtains a target temperature value and a collection condition, where the target temperature value is used to instruct the device to be tested to control the temperature field to be tested, and the collection condition includes that a deviation between the measured data and the target temperature value is less than or equal to a first deviation threshold value, and/or a fluctuation range of the measured data is less than or equal to a first fluctuation threshold value.
In the present application, if the data collector includes a plurality of standard temperature probes, the series of measurement data collected by each standard temperature probe is screened separately.
In this example, the target temperature value is a target temperature value of the detected temperature field, and the detected device controls the temperature of the detected temperature field to be maintained at the target temperature value according to its own sensor or temperature control device.
It will be appreciated that the actual temperature value maintained at the inspected temperature location may be different from and/or not be maintained at the target temperature value due to a systematic error of its own sensor or temperature control device, or due to a systematic error of its own temperature program.
In this example, the acquisition condition is used to trigger the data acquisition unit to acquire an actual temperature value of the detected temperature field, and the actual temperature value is used as a basis for evaluating the detected temperature field, that is, if the measurement data meets the acquisition condition, the measurement data is used as basic data for evaluating the detected temperature field.
In this example, determining whether the measurement data satisfies the acquisition condition may be to set the value of the following formula I-1 to 0:
T'(t)＝4at 3 +3bt 2 +2ct+d type I-1
Wherein T' (T) represents the derivative of the function T (T);
t (T) is a function of the temperature T with respect to the sampling instant T;
a, b, c and d are all constants.
Further, the function T (T) may be represented by the following formula I-2:
T(t)＝at 4 +bt 3 +ct 2 +dt+e formula I-2
Where e is a constant.
Still further, the function T (T) may be fitted based on all of the current measurement data.
It will be appreciated that if there is no test data having a value of 0 in formula I-1, sampling is continued, after a certain amount of measurement data is continuously collected, the existing measurement data is reused to perform fitting according to formula I-2 to generate a function T (T), formula I-1 is obtained by solving formula I-2, and a solution having a value of 0 in formula I-1=is determined.
It will be appreciated that the fourth-order function shown in the formula I-1 is only an alternative fitting method, and that other forms of fitting function may be used to determine the measurement data satisfying the acquisition condition.
Step S200, the data collector acquires a collection time length and a collection frequency, wherein the collection time length is longer than a detection time length, the collection frequency is equal to or multiple of a detection frequency, and the detection time length and the detection frequency are determined based on a detection requirement of the detected device.
In this example, the acquisition frequency may be represented using an interval time, and may be set to 30s to 2 min/time, for example.
In this example, the data collector collects the measurement data according to the collection time length and the collection frequency, and it is understood that not all the collected measurement data is used as a basis for evaluating the detected device, but the collected measurement data is used as a basis for evaluating the detected device after the measurement data satisfies the collection condition.
Based on this, the acquisition time period is longer than the detection time period, the acquisition time period is the time period from the first sampling to the last sampling, and the detection time period is the time period for acquiring the measurement data serving as the evaluation basis.
Further, the sampling frequency of the data collector is the detection frequency determined by the detection requirement at the lowest, so that the collected data can meet the requirement of a test task.
It will be appreciated that the sampling frequency of the data collector may be greater than the detection frequency, preferably a multiple of the detection frequency, so that sufficient measurement data can be collected in a short period of time.
And step S300, the data acquisition device periodically acquires the measurement data from the temperature measurement equipment, compares the measurement data with the acquisition conditions, continuously acquires the measurement data within the acquisition time period according to the acquisition frequency when the measurement data reach the acquisition conditions, and stores the measurement data as first pre-acquisition data.
In this example, the data collector collects measurement data according to the collection frequency determined in step S200, and, in a manner agreed by the collection condition, determines whether the measurement data meets the collection condition after collecting a certain number of samples, and if a certain measurement data meets the collection condition, refers to the measurement data and the measurement data collected thereafter as first pre-collected data, and uses the first pre-collected data as a basis for evaluating the device to be tested.
Step S400, the data processing device processes the first pre-sampling data to obtain at least two groups of first pre-inspection data, where each group of first pre-inspection data includes the first pre-sampling data distributed according to the detection frequency in the detection duration, and the first pre-inspection data of different groups are at least partially different.
In this example, the data processing device processes the first pre-sampling data to obtain at least two sets of first pre-detection data, which specifically may include the following steps S411 to S413:
step S411, according to the change information of the first pre-sampling data, a first screening function is obtained.
In this example, the first pre-sampling information may be first screened according to the variation information of the first pre-sampling data, so as to obtain an ideal measurement data set.
In this example, the present step may specifically include the following steps S4111 to S4115:
in step S4111, first main pre-sampling data is determined, where the first main pre-sampling data is the first pre-sampling data corresponding to the main sensor.
In step S4112, the first screening function is obtained according to the change information of the first main pre-mining data.
In this example, the first main pre-sampling data may be first screened, so as to obtain more ideal measurement data.
In this example, the first screening function is used to screen the first main pre-mining data.
In step S4113, the first main pre-sampling data is processed according to the first screening function to obtain second main pre-sampling data, so that a deviation between the second main pre-sampling data and the target temperature value is smaller than or equal to the second deviation threshold value, and/or a fluctuation range of the second main pre-sampling data is smaller than or equal to the second fluctuation threshold value.
In this example, the first main pre-acquisition data is processed in a similar manner to the first pre-acquisition data determined in step S300 according to the acquisition conditions.
Illustratively, the first primary pre-fetch data may be screened using a function of the form shown in formula I-1 and in a manner similar to step S300.
It is understood that the second deviation threshold is smaller than the first deviation threshold and the second fluctuation threshold is smaller than the first fluctuation threshold.
In step S4114, second other pre-acquisition data is determined, wherein the second other pre-acquisition data and the second main pre-acquisition data have the same acquisition time and are derived from the at least one other sensor.
In this example, for a detection method in which a multi-standard sensor exists, second other pre-sampling data may be determined according to the second main pre-sampling data, where the second other pre-sampling data has the same sampling time as the second main pre-sampling data.
In step S4115, the second main pre-sampling data and the second other pre-sampling data are processed to obtain the at least two sets of first pre-detection data.
In this example, the manner of processing the second main pre-sampling data and the second other pre-sampling data may specifically include:
taking second main pre-sampling data at a first acquisition time as first data in a first group of pre-sampling data, performing data acquisition from the second main pre-sampling data according to a detection frequency until an N acquisition time, taking the time between the first acquisition time and the N acquisition time as detection time to obtain a first group of second main pre-sampling data, acquiring second other pre-sampling data which are the same as the acquisition time of the first group of second main pre-sampling data, taking the second main pre-sampling data as a first group of second other pre-sampling data, and combining the first group of second main pre-sampling data and the first group of second main pre-sampling data to obtain the first group of pre-sampling data; the first acquisition time is the earliest acquisition time in the second main pre-acquisition data;
Taking the second main pre-sampling data at the second acquisition time as the first data in the second group of pre-detection data, and obtaining the second group of pre-detection data in a similar way to the process;
and analogizing the data from the second main pre-sampling data according to the detection frequency until the second main pre-sampling data at the Mth acquisition time is used as the first data in the first group of pre-detection data, and acquiring the data from the second main pre-sampling data until the Kth acquisition time is the last acquisition time in the second main pre-sampling data, wherein other processes are similar to the previous processes, and the Mth group of pre-detection data can be obtained.
In step S500, the data processing apparatus compares the first pre-inspection data of each group, and outputs at least one group of the first pre-inspection data as detection data.
In this example, the present step may specifically include the following steps S511 to S513:
step S511, determining evaluation parameters, wherein the evaluation parameters comprise at least one of deviation values, average values and fluctuation degrees;
step S512, calculating parameter values of the evaluation parameters for each group of the first pre-inspection data respectively;
step S513, screening the sets of the first pre-inspection data based on the parameter values of the evaluation parameters, and determining at least one set of the first pre-inspection data as the detection data.
In this example, the evaluation parameter in step S512 includes at least two different single parameters, which may be a deviation value, an average value, or a waviness, or the like.
Further, the evaluation parameter may further include a single weight function for determining a single influence proportion of the single parameter in the process of calculating the total value of the evaluation parameter.
It can be understood that the weights of the individual parameters are different in the evaluation systems of different examined devices.
In this example, the weights of the individual parameters may be calculated according to the individual weight functions, and then the total value of the evaluation parameters of each group of the first pre-inspection data may be calculated based on the weights of the individual parameters and the parameter values of the individual parameters, and further, each group of the first pre-inspection data may be screened based on the total value of the evaluation parameters.
Further, the single weighting function is configured to:
generating a weight function value corresponding to the single parameter by taking the single parameter as an independent variable;
when the independent variable changes at one side of a first single threshold value, the weight function value monotonically changes along with the independent variable, and the first single threshold value is the theoretical optimal value of the single parameter;
A second single threshold divides the independent variable into two first change intervals and second change intervals, wherein the first change intervals comprise the first single threshold and the second single threshold, the weight function value corresponding to the first change interval is discontinuous with the weight function value corresponding to the second change interval, and the second single threshold is the maximum allowable error of the single parameter;
when the independent variable is positioned in the first variation interval, a first weight function value has smaller variation along with the variation of the independent variable, a second weight function value has larger variation along with the variation of the independent variable, the first weight function value is generated when the independent variable is relatively close to the first single threshold value, and the second weight function value is generated when the independent variable is relatively far away from the first single threshold value;
when the independent variable is located in the second variation interval, a third weight function value has smaller variation along with the variation of the independent variable, a fourth weight function value has larger variation along with the variation of the independent variable, the third weight function value is generated when the independent variable is relatively close to the second single threshold, and the fourth weight function value is generated when the independent variable is relatively far away from the second single threshold.
Illustratively, the following formula II shows a specific single-term weighting function:
Figure BDA0004028904890000081
wherein m represents tolerance;
n represents a preset weight;
x represents the measured temperature difference, specifically the difference between the numerical value displayed by the detected equipment and the numerical value displayed by the standard detecting equipment;
y represents the data score.
In this example, the tolerance m is a parameter nominal to the device under test.
Further, the weight n may be set according to specific requirements.
Further, the present step may further include the following step S514 and step S515:
step S514, calculating evaluation parameters of each group of the first pre-inspection data, where the evaluation parameters include one of a deviation value, an average value and a fluctuation degree.
Step S515, outputting a set of the first pre-inspection data with the optimal evaluation parameters as the inspection data.
And step S600, the data processing equipment detects the detected equipment according to the detection data and the target temperature value.
In this example, the relevant performance parameters of the device under test are evaluated according to the target temperature value and the detection data determined in steps S100 to S500, and the specific evaluation method is not particularly limited in this application, and any method in the prior art for evaluating the performance parameters according to the measured data and the target temperature value may be used.
In addition, the application still provides a detection host computer, detection host computer is used for temperature detection, specifically includes:
a storage module 100 for storing a data processing program;
the communication module 200 is used for acquiring measurement data;
and a processing module 300, configured to execute the data processing program, where the data processing program processes the measurement data according to the foregoing data processing apparatus.
In the present application, the storage module 100 further stores a detection control program;
the communication module 200 is in signal connection with temperature measurement equipment, and the temperature measurement equipment is used for measuring the temperature field of the detected equipment;
the processing module 300 is configured to execute the detection control program, including steps S701 to S703,
step S711, acquiring a target temperature value and an acquisition condition, where the target temperature value is used to instruct the detected device to control a temperature field, and the acquisition condition includes that a deviation between the measured data and the target temperature value is less than or equal to a first deviation threshold value, and/or a fluctuation range of the measured data is less than or equal to a first fluctuation threshold value;
step S712, acquiring acquisition time length and acquisition frequency, wherein the acquisition time length is longer than detection time length, the acquisition frequency is equal to or multiple of detection frequency, and the detection time length and the detection frequency are determined based on the detection requirement of the detected equipment;
Step S713, periodically acquiring the measurement data from the communication module, comparing the measurement data with the acquisition condition, continuously acquiring the measurement data in the acquisition duration when the measurement data reach the acquisition condition, and storing the measurement data as first pre-acquisition data.
With reference to the detection host according to the second aspect, the storage module 100 further stores a detection control program, and the communication module 200 is communicatively connected to a data acquisition device, where the data acquisition device is configured to acquire the temperature measurement device to obtain the measurement data;
the processing module 300 is configured to execute the detection control program, including the following steps S721 to 725:
step S721, issuing a data acquisition task to the communication module, wherein the data acquisition task comprises an acquisition frequency which is equal to or multiple of a detection frequency, the detection frequency is determined based on the detection requirement of detected equipment, and the data acquisition equipment acquires temperature measurement equipment according to the data acquisition task;
step S722, acquiring a target temperature value and an acquisition condition, where the target temperature value is used to instruct the detected device to control a temperature field, and the acquisition condition includes that a deviation between the measured data and the target temperature value is less than or equal to a first deviation threshold value, and/or a fluctuation range of the measured data is less than or equal to a first fluctuation threshold value;
Step S723, acquiring acquisition time length, wherein the acquisition time length is longer than detection time length, and the detection time length is determined based on the detection requirement of the detected equipment;
step S724, the measurement data is obtained from the communication module and compared with the acquisition conditions, when the measurement data reaches the acquisition conditions, the current time is recorded as the acquisition start time, and after the acquisition duration is continued, the current time is recorded as the acquisition end time;
step S725, determining the measurement data between the acquisition start time and the acquisition end time, and storing the measurement data as first pre-acquisition data.
In this example, the storage module 100 further stores a detection control program, and the communication module 200 is configured to be communicatively connected to a data acquisition device, where the data acquisition device is configured to acquire a temperature measurement device, so as to obtain the measurement data;
the processing module 300 is configured to execute the detection control program, including steps S731 to S735,
step S731, a target temperature value and an acquisition condition are obtained, wherein the target temperature value is used for indicating the detected equipment to control a temperature field, and the acquisition condition comprises that the deviation between the measured data and the target temperature value is smaller than or equal to a first deviation threshold value and/or the fluctuation range of the measured data is smaller than or equal to a first fluctuation threshold value;
Step S732, acquiring acquisition time length and acquisition frequency, wherein the acquisition time length is longer than detection time length, the acquisition frequency is greater than or equal to detection frequency, and the detection time length and the detection frequency are determined based on the detection requirement of the detected equipment;
step S733, generating a data acquisition task according to the target temperature value, the acquisition condition, the acquisition duration and the acquisition frequency;
step S734, the data acquisition task is sent through the communication module, so that the data acquisition device periodically acquires the measurement data from the temperature measurement device and compares the measurement data with the acquisition condition, and when the measurement data reach the acquisition condition, the data acquisition device continuously acquires the measurement data within the acquisition duration and stores the measurement data as first pre-acquisition data;
in step S735, the first pre-sampling data is acquired from the communication module.
In a third aspect, the present application also provides a computer readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the temperature detection method described in the first aspect above.
The foregoing detailed description has been provided for the purposes of illustration in connection with specific embodiments and exemplary examples, but such description is not to be construed as limiting the application. Those skilled in the art will appreciate that various equivalent substitutions, modifications and improvements may be made to the technical solution of the present application and its embodiments without departing from the spirit and scope of the present application, and these all fall within the scope of the present application. The scope of the application is defined by the appended claims.

Claims (12)

1. The temperature detection method is characterized by being applied to a temperature detection system, wherein the temperature detection system is used for detecting detected equipment, the detected equipment is used for generating a detected temperature field, the temperature detection system comprises a data processing device, a data acquisition device and a temperature measurement device, the temperature measurement device is used for measuring the detected temperature field, the data acquisition device is used for acquiring measurement data of the temperature measurement device, and the data processing device is used for processing the measurement data; the temperature detection method comprises the following steps:
the data acquisition device acquires a target temperature value and an acquisition condition, wherein the target temperature value is used for indicating the detected equipment to control the detected temperature field, and the acquisition condition comprises that the deviation between the measured data and the target temperature value is smaller than or equal to a first deviation threshold value and/or the fluctuation range of the measured data is smaller than or equal to a first fluctuation threshold value;
the data acquisition device acquires acquisition time length and acquisition frequency, wherein the acquisition time length is longer than detection time length, the acquisition frequency is equal to or multiple of detection frequency, and the detection time length and the detection frequency are determined based on the detection requirement of the detected equipment;
The data acquisition device periodically acquires the measurement data from the temperature measurement equipment, compares the measurement data with the acquisition conditions, continuously acquires the measurement data according to the acquisition frequency within the acquisition time length when the measurement data reach the acquisition conditions, and stores the measurement data as first pre-acquisition data;
the data processing equipment processes the first pre-sampling data to obtain at least two groups of first pre-detection data, wherein each group of first pre-detection data comprises the first pre-sampling data distributed according to the detection frequency in the detection duration, and the first pre-detection data of different groups are at least partially different;
the data processing equipment compares the first pre-detection data of each group and outputs at least one group of the first pre-detection data as detection data;
and the data processing equipment detects the detected equipment according to the detection data and the target temperature value.
2. The method of claim 1, wherein said comparing each set of said first pre-test data and outputting at least one set of said first pre-test data as test data comprises:
Respectively calculating evaluation parameters of each group of the first pre-detection data, wherein the evaluation parameters comprise one of deviation values, average values and fluctuation degrees;
and outputting a group of first pre-detection data with the optimal evaluation parameters as the detection data.
3. The method of claim 1, wherein the processing the first pre-sampling data to obtain at least two sets of first pre-sampling data comprises:
obtaining a first screening function according to the change information of the first pre-sampling data;
processing the first pre-sampling data according to the first screening function to obtain second pre-sampling data, so that the deviation between the second pre-sampling data and the target temperature value is smaller than or equal to a second deviation threshold value, and/or the fluctuation range of the second pre-sampling data is smaller than or equal to a second fluctuation threshold value, the second deviation threshold value is smaller than the first deviation threshold value, and the second fluctuation threshold value is smaller than the first fluctuation threshold value;
and processing the second pre-sampling data to obtain at least two groups of first pre-detection data, wherein each group of first pre-detection data comprises the second pre-sampling data distributed according to the detection frequency in the detection duration.
4. A method according to claim 3, wherein the temperature measuring device comprises a main sensor and at least one other sensor, and the obtaining a first screening function according to the change information of the first pre-sampling data comprises:
determining first main pre-acquisition data, wherein the first main pre-acquisition data is the first pre-acquisition data corresponding to the main sensor;
obtaining the first screening function according to the change information of the first main pre-sampling data;
processing the first main pre-sampling data according to the first screening function to obtain second main pre-sampling data, so that the deviation between the second main pre-sampling data and the target temperature value is smaller than or equal to a second deviation threshold value, and/or the fluctuation range of the second main pre-sampling data is smaller than or equal to a second fluctuation threshold value;
determining second other pre-acquisition data, the second other pre-acquisition data and the second main pre-acquisition data having the same acquisition time and originating from the at least one other sensor;
and processing the second main pre-sampling data and the second other pre-sampling data to obtain at least two groups of first pre-detection data.
5. A temperature detection method according to claim 2 or 3, wherein said comparing each set of said first pre-inspection data, outputting at least one set of said first pre-inspection data as detection data, comprises:
determining an evaluation parameter, the evaluation parameter comprising at least one of a deviation value, an average value, and a waviness;
calculating parameter values of the evaluation parameters for each group of the first pre-detection data respectively;
and screening the first pre-detection data of each group based on the parameter value of the evaluation parameter, and determining at least one group of the first pre-detection data as the detection data.
6. The method according to claim 5, wherein calculating the parameter value of the evaluation parameter for each set of the first pre-inspection data, respectively, comprises:
the evaluation parameters comprise at least two different single parameters, wherein the single parameters are one of deviation values, average values and fluctuation degrees;
the evaluation parameter further comprises a single weight function, wherein the single weight function is used for determining a single influence proportion of the single parameter in the calculation of the total value of the evaluation parameter;
and respectively calculating the total value of the evaluation parameters of each group of the first pre-inspection data according to the single weight function, and screening the first pre-inspection data of each group.
7. The temperature detection method of claim 6, wherein the single weighting function is configured to:
generating a weight function value corresponding to the single parameter by taking the single parameter as an independent variable;
when the independent variable changes at one side of a first single threshold value, the weight function value monotonically changes along with the independent variable, and the first single threshold value is the theoretical optimal value of the single parameter;
a second single threshold divides the independent variable into two first change intervals and second change intervals, wherein the first change intervals comprise the first single threshold and the second single threshold, the weight function value corresponding to the first change interval is discontinuous with the weight function value corresponding to the second change interval, and the second single threshold is the maximum allowable error of the single parameter;
when the independent variable is positioned in the first variation interval, a first weight function value has smaller variation along with the variation of the independent variable, a second weight function value has larger variation along with the variation of the independent variable, the first weight function value is generated when the independent variable is relatively close to the first single threshold value, and the second weight function value is generated when the independent variable is relatively far away from the first single threshold value;
When the independent variable is located in the second variation interval, a third weight function value has smaller variation along with the variation of the independent variable, a fourth weight function value has larger variation along with the variation of the independent variable, the third weight function value is generated when the independent variable is relatively close to the second single threshold, and the fourth weight function value is generated when the independent variable is relatively far away from the second single threshold.
8. A test host for temperature detection, comprising:
the storage module is used for storing a data processing program;
the communication module is used for acquiring measurement data;
a processing module for executing said data processing program, said measurement data being processed by a data processing device according to any of claims 1-7.
9. The inspection host claimed in claim 8, wherein the storage module further stores an inspection control program; the communication module is in signal connection with temperature measurement equipment, and the temperature measurement equipment is used for measuring the temperature field of the detected equipment; the processing module is configured to execute the detection control program, including:
acquiring a target temperature value and acquisition conditions, wherein the target temperature value is used for indicating the detected equipment to control a temperature field, and the acquisition conditions comprise that the deviation between the measured data and the target temperature value is smaller than or equal to a first deviation threshold value and/or the fluctuation range of the measured data is smaller than or equal to a first fluctuation threshold value;
Acquiring acquisition time length and acquisition frequency, wherein the acquisition time length is longer than detection time length, the acquisition frequency is equal to or multiple of detection frequency, and the detection time length and the detection frequency are determined based on the detection requirement of the detected equipment;
and periodically acquiring the measurement data from the communication module, comparing the measurement data with the acquisition conditions, continuously acquiring the measurement data in the acquisition time length when the measurement data reach the acquisition conditions, and storing the measurement data as first pre-acquisition data.
10. The detecting host machine according to claim 8, wherein the storage module further stores a detecting control program, the communication module is connected to a data acquisition device in a communication manner, and the data acquisition device is used for acquiring a temperature measurement device to obtain the measurement data; the processing module is configured to execute the detection control program, including:
issuing a data acquisition task to the communication module, wherein the data acquisition task comprises an acquisition frequency which is equal to or multiple of a detection frequency, the detection frequency is determined based on the detection requirement of detected equipment, and the data acquisition equipment acquires temperature measurement equipment according to the data acquisition task;
Acquiring a target temperature value and acquisition conditions, wherein the target temperature value is used for indicating the detected equipment to control a temperature field, and the acquisition conditions comprise that the deviation between the measured data and the target temperature value is smaller than or equal to a first deviation threshold value and/or the fluctuation range of the measured data is smaller than or equal to a first fluctuation threshold value;
acquiring an acquisition time length, wherein the acquisition time length is longer than a detection time length, and the detection time length is determined based on the detection requirement of the detected equipment;
acquiring the measurement data from the communication module, comparing the measurement data with the acquisition conditions, and recording the current moment as the acquisition starting moment when the measurement data reach the acquisition conditions, and recording the current moment as the acquisition ending moment after the acquisition duration is continued;
and determining the measurement data between the acquisition starting time and the acquisition ending time, and storing the measurement data as first pre-acquisition data.
11. The detection host machine according to claim 8, wherein the storage module further stores a detection control program, the communication module is used for being in communication connection with a data acquisition device, and the data acquisition device is used for acquiring a temperature measurement device to obtain the measurement data; the processing module is configured to execute the detection control program, including:
Acquiring a target temperature value and acquisition conditions, wherein the target temperature value is used for indicating detected equipment to control a temperature field, and the acquisition conditions comprise that the deviation between the measured data and the target temperature value is smaller than or equal to a first deviation threshold value and/or the fluctuation range of the measured data is smaller than or equal to a first fluctuation threshold value;
acquiring acquisition time length and acquisition frequency, wherein the acquisition time length is longer than detection time length, the acquisition frequency is greater than or equal to detection frequency, and the detection time length and the detection frequency are determined based on the detection requirement of the detected equipment;
generating a data acquisition task according to the target temperature value, the acquisition condition, the acquisition time length and the acquisition frequency;
the data acquisition task is sent through the communication module, so that the data acquisition device periodically acquires the measurement data from the temperature measurement equipment and compares the measurement data with the acquisition conditions, and when the measurement data reach the acquisition conditions, the data acquisition device continuously acquires the measurement data within the acquisition duration and stores the measurement data as first pre-acquisition data;
and acquiring the first pre-sampling data from the communication module.
12. A computer readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the temperature detection method of any of the preceding claims 1 to 7.
CN202211723354.XA 2022-12-30 2022-12-30 Temperature detection method and detection host Pending CN116086648A (en)

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