Control system for high and low temperature circulation

Abstract

The invention relates to the technical field of temperature control, in particular to a control system for high and low temperature circulation, which comprises a parameter acquisition module, an automatic calibration analysis module, an output power analysis module, a control execution module and a storage server. The use degree value is obtained by analyzing the use time data and the temperature measurement data, the calibration degree value is obtained by analyzing the historical calibration data, and the calibration adjustment information is obtained by comprehensively analyzing the use degree value and the calibration degree value, so that the calibration frequency can be automatically adjusted, and the convenience is improved; the temperature performance influence index is obtained by analyzing the temperature change data, and the output power regulation information is obtained by comprehensively analyzing the heating and refrigerating performance data and the temperature performance influence index, so that the output regulation can be performed on the heating and refrigerating output power, and the resource consumption is saved.

Description

Technical Field

[0001] The invention relates to the technical field of temperature control, in particular to a control system for high and low temperature cycles. Background Art

[0002] With the rapid development of science and technology, many fields such as electronics, materials, chemical industry, biomedicine, etc. have increasingly higher requirements for precise temperature control. Whether it is precise temperature environment simulation in scientific research experiments or temperature condition control in industrial production processes, higher requirements are placed on the accuracy, stability and reliability of temperature control systems.

[0003] The current high and low temperature cycle control system will ensure the accuracy of each instrument by setting up automatic calibration of the detection instrument and performing regular automatic calibration. The automatic calibration cycle needs to be set manually. When the instrument is used frequently, the instrument will be more prone to errors and require more frequent automatic calibration, making it inconvenient to use. Summary of the invention

[0004] The present invention provides a control system for high and low temperature cycles, which is used to solve the above technical problems.

[0005] A first aspect of the present invention provides a control system for high and low temperature cycles, comprising a parameter acquisition module, an automatic calibration analysis module, an output power analysis module, a control execution module and a storage server.

[0006] The parameter acquisition module is used to collect detection instrument data, temperature change data and heating and cooling performance data, and send the detection instrument data, temperature change data and heating and cooling performance data to the storage server; the detection instrument data includes usage time data, temperature measurement data and historical calibration data; the temperature change data includes set temperature parameters, system temperature data and ambient temperature data; the heating and cooling performance data includes output power value and output loss.

[0007] The automatic calibration analysis module is used to obtain the detection instrument data and identify the monitoring instrument data to obtain the usage time data, temperature measurement data and historical calibration data; analyze the usage time data and temperature measurement data to obtain the usage level value of each detection instrument, and analyze the historical calibration data to obtain the current calibration level value of each detection instrument, set the usage level value to multiple usage level intervals, each usage level interval corresponds to a calibration level value, match the usage level value of each detection instrument with the multiple usage level intervals to obtain the corresponding calibration level value, and mark it as the expected calibration level value, compare the current calibration level value of each detection instrument with the expected calibration level value, obtain the calibration adjustment information of each detection instrument and send the calibration adjustment information to the execution control module.

[0008] As a further improvement of the present invention, the usage time data and the temperature measurement data are analyzed, and the specific analysis method is as follows:

[0009] The usage time data is identified to obtain a start timestamp and an end timestamp, each start timestamp corresponds to an end timestamp, the daily duration is set as a unit time period, the start timestamps of the detection instruments in the unit time are obtained and the corresponding end timestamps are obtained, each start timestamp and the corresponding end timestamp are calculated to obtain the corresponding duration, the set minimum threshold of duration is obtained, the duration is compared with the minimum threshold of duration, when the duration is greater than the minimum threshold of duration, the duration is marked as a single usage duration, the number of single usage times is counted to obtain the number of uses in each unit time period, a pre-set usage count threshold is obtained, the number of uses in the unit time period of each detection instrument is compared with the usage count threshold, when the number of uses is greater than the usage count threshold, the value calculated by subtracting the usage count threshold from the number of uses is marked as the number of times impact value.

[0010] The temperature measurement data is identified to obtain a measured temperature value and a measurement accuracy value; the measured temperature value of each detection instrument is compared with the measured temperature values ​​of other detection instruments. When the measured temperature values ​​are different, the temperature difference between the measured temperature value of each detection instrument and the measured temperature values ​​of other detection instruments is calculated, and the temperature difference values ​​corresponding to the detection instruments are added and summed to obtain a temperature difference influence value; the measurement accuracy value corresponding to each detection instrument for each number of uses is compared with a set accuracy requirement value. When the measurement accuracy value is less than the accuracy requirement value, the accuracy requirement value is subtracted from the measurement accuracy value to obtain an accuracy difference value. The accuracy difference value is set to multiple accuracy difference intervals, each accuracy difference interval corresponds to an accuracy difference influence value, and the accuracy difference value of each detection instrument is matched with multiple accuracy difference intervals to obtain a corresponding accuracy difference influence value.

[0011] Draw two parallel straight lines with the numerical values ​​of the frequency influence value and the temperature difference influence value, connect the same ends of the two straight lines to obtain a line segment perpendicular to the two straight lines, and the length of the line segment is equal to the numerical value of the precision difference influence value. Connect the other ends of the two straight lines to obtain an oblique line, and then construct a right-angled trapezoid with the two straight lines, the line segment and the oblique line. Calculate the area of ​​the right-angled trapezoid and mark the value of the area as the usage degree influence value.

[0012] As a further improvement of the present invention, the historical calibration data is analyzed, and the specific analysis method is as follows:

[0013] Identify historical calibration data to obtain calibration time and calibration temperature measurement information; obtain the calibration time corresponding to each historical calibration operation, compare the calibration time of two adjacent calibration operations to obtain the calibration time difference of adjacent calibration operations; obtain the temperature value before calibration and the temperature value after calibration according to the calibration temperature measurement information, calculate the difference between the temperature value before calibration and the temperature value after calibration, and mark the difference as the calibration temperature difference; normalize the calibration time difference and the calibration temperature difference and take their values, according to the formula The calibration degree value JZT is obtained; wherein ST and CW represent the calibration time difference and the calibration temperature difference respectively; ΔST and ΔCW represent the calibration time allowable difference and the calibration temperature allowable difference respectively; v1 and v2 are both preset weight factors, with values ​​of 0.56 and 0.44.

[0014] The output power analysis module is used to obtain temperature change data and heating and cooling performance data, analyze the temperature change data to obtain a temperature performance impact index, and comprehensively analyze the heating and cooling performance data and the temperature performance impact index to obtain output power adjustment information, and send the output power adjustment information to the execution control module.

[0015] As a further improvement of the present invention, the temperature change data is analyzed, and the specific analysis method is as follows:

[0016] Identify the temperature change data to obtain the set temperature parameters, system temperature data, and ambient temperature data; identify the set temperature parameters to obtain the set temperature peak value and the set temperature valley value, obtain the peak reference value corresponding to the set temperature peak value, and subtract the peak reference value from the set temperature peak value to obtain the peak temperature difference; similarly, obtain the valley temperature difference corresponding to the set temperature underestimation value; subtract the set temperature peak value from the set temperature underestimation value to obtain the set temperature span value, obtain the pre-set temperature span reference value, calculate the set temperature span value and the temperature span reference value to obtain the difference, and mark the difference as the temperature span difference.

[0017] A right triangle is constructed with the peak temperature difference and the trough temperature difference as the two right-angled sides of the right triangle. A straight line perpendicular to the right triangle is drawn with the right-angled vertex of the right triangle as the starting point. The length of the straight line is equal to the temperature span difference. A triangular pyramid is then constructed with the right triangle and the straight line. The volume of the triangular pyramid is calculated and the volume value is marked as the set temperature impact index.

[0018] The current real-time peak temperature value and the real-time low-estimation temperature value of the system are obtained through the system temperature data corresponding to the current system; the real-time peak temperature value and the set temperature peak value are calculated to obtain the peak temperature deviation value, and the peak temperature deviation value is set to multiple peak temperature deviation intervals, each peak temperature deviation interval corresponds to a peak deviation impact value, and the peak temperature deviation value corresponding to the real-time peak temperature value is matched with the multiple peak temperature deviation intervals to obtain the corresponding peak deviation impact value; similarly, the corresponding valley temperature deviation value is obtained based on the real-time low-estimation temperature value, and the corresponding valley deviation impact value is obtained according to the valley temperature deviation value; the peak deviation impact value and the valley deviation impact value are added and summed to obtain the deviation impact index;

[0019] Obtain a preset environmental standard reference temperature, and compare the current environmental temperature with the environmental standard reference temperature to obtain the difference between the current environmental temperature and the environmental standard reference temperature and mark the difference as a temperature trend value.

[0020] By formula The temperature performance influence index WD is calculated; sdw, pcw and qsw represent the set temperature influence index, deviation influence index and temperature trend value respectively; sdw' and pcw' represent the set temperature influence reference value and deviation influence reference value respectively; a1, a2 and a3 are all preset weight factors, and their values ​​are 1.23, 2.71 and 2.06 respectively.

[0021] As a further improvement of the present invention, a comprehensive analysis is performed on the heating and cooling performance data and the temperature performance impact index, and the specific analysis method is as follows:

[0022] The heating and cooling performance data are identified to obtain the output power value and output loss; the output power is divided into multiple output power intervals, each output power interval corresponds to an output intensity value, and the output power value corresponding to the current heating and cooling performance data is matched with the multiple output power intervals to obtain the corresponding output intensity value; the output loss corresponding to the current output power value is obtained, the output effective power is calculated by subtracting the output loss from the output power value, and the output effective power is compared with the corresponding output power value to calculate the output efficiency value; the value obtained by multiplying the output intensity value and the output efficiency value is marked as the total output performance value.

[0023] The temperature performance impact index is divided into multiple performance impact index intervals, each temperature performance impact index interval corresponds to an expected performance requirement value, the temperature performance impact index corresponding to the current heating and cooling performance data is matched with the multiple performance impact index intervals to obtain the corresponding expected performance requirement value, the total output performance value is compared with the expected performance requirement value, and when the total output performance value is greater than the expected performance requirement value, the output power adjustment information is generated to reduce the power.

[0024] The execution control module is used to receive the calibration adjustment information and the output power adjustment information, generate corresponding execution control instructions according to the calibration adjustment information and the output power adjustment information, and perform corresponding execution control operations through the execution control instructions.

[0025] The storage server is used to store the collected detection instrument data, temperature change data and heating and cooling performance data, and store the calibration adjustment information and output power adjustment information.

[0026] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:

[0027] 1. The present invention obtains a usage degree value by analyzing the usage time data and the temperature measurement data, and obtains a calibration degree value by analyzing the historical calibration data. The usage degree value and the calibration degree value are comprehensively analyzed to obtain calibration adjustment information, so that the calibration frequency can be automatically adjusted to increase convenience.

[0028] 2. The present invention obtains a temperature performance impact index by analyzing temperature change data, and obtains output power adjustment information by comprehensively analyzing heating and cooling performance data and the temperature performance impact index. Therefore, the output power of heating and cooling can be adjusted, which is convenient for saving resource consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present application.

[0030] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 In an embodiment of the present invention, a control system for high and low temperature cycles includes: a parameter acquisition module, an automatic calibration analysis module, an output power analysis module, a control execution module and a storage server.

[0033] The parameter acquisition module collects detection instrument data, temperature change data and heating and cooling performance data, and sends the detection instrument data, temperature change data and heating and cooling performance data to the storage server; the detection instrument data includes usage time data, temperature measurement data and historical calibration data; the temperature change data includes set temperature parameters, system temperature data and ambient temperature data; the heating and cooling performance data includes output power value and output loss.

[0034] The automatic calibration analysis module acquires the detection instrument data and identifies the monitoring instrument data to obtain the usage time data, temperature measurement data and historical calibration data; the usage time data and temperature measurement data are analyzed to obtain the usage degree value of each detection instrument, and the historical calibration data are analyzed to obtain the current calibration degree value of each detection instrument, the usage degree value is set to multiple usage degree intervals, each usage degree interval corresponds to a calibration degree value, the usage degree value of each detection instrument is matched with the multiple usage degree intervals to obtain the corresponding calibration degree value, and it is marked as the expected calibration degree value, the current calibration degree value of each detection instrument is compared with the expected calibration degree value, the calibration adjustment information of each detection instrument is obtained and the calibration adjustment information is sent to the execution control module.

[0035] The usage time data and temperature measurement data are analyzed in the following specific ways:

[0036] The usage time data is identified to obtain a start timestamp and an end timestamp, each start timestamp corresponds to an end timestamp, the daily duration is set as a unit time period, the start timestamps of the detection instruments in the unit time are obtained and the corresponding end timestamps are obtained, each start timestamp and the corresponding end timestamp are calculated to obtain the corresponding duration, the set minimum threshold of duration is obtained, the duration is compared with the minimum threshold of duration, when the duration is greater than the minimum threshold of duration, the duration is marked as a single usage duration, the number of single usage times is counted to obtain the number of uses in each unit time period, a pre-set usage count threshold is obtained, the number of uses in the unit time period of each detection instrument is compared with the usage count threshold, when the number of uses is greater than the usage count threshold, the value calculated by subtracting the usage count threshold from the number of uses is marked as the number of times impact value.

[0037] The temperature measurement data is identified to obtain a measured temperature value and a measurement accuracy value; the measured temperature value of each detection instrument is compared with the measured temperature values ​​of other detection instruments. When the measured temperature values ​​are different, the temperature difference between the measured temperature value of each detection instrument and the measured temperature values ​​of other detection instruments is calculated, and the temperature difference values ​​corresponding to the detection instruments are added and summed to obtain a temperature difference influence value; the measurement accuracy value corresponding to each detection instrument for each number of uses is compared with a set accuracy requirement value. When the measurement accuracy value is less than the accuracy requirement value, the accuracy requirement value is subtracted from the measurement accuracy value to obtain an accuracy difference value. The accuracy difference value is set to multiple accuracy difference intervals, each accuracy difference interval corresponds to an accuracy difference influence value, and the accuracy difference value of each detection instrument is matched with multiple accuracy difference intervals to obtain a corresponding accuracy difference influence value.

[0038] Draw two parallel straight lines with the numerical values ​​of the frequency influence value and the temperature difference influence value, connect the same ends of the two straight lines to obtain a line segment perpendicular to the two straight lines, and the length of the line segment is equal to the numerical value of the precision difference influence value. Connect the other ends of the two straight lines to obtain an oblique line, and then construct a right-angled trapezoid with the two straight lines, the line segment and the oblique line. Calculate the area of ​​the right-angled trapezoid and mark the value of the area as the usage degree influence value.

[0039] The historical calibration data is analyzed in the following specific ways:

[0040] Identify historical calibration data to obtain calibration time and calibration temperature measurement information; obtain the calibration time corresponding to each historical calibration operation, compare the calibration time of two adjacent calibration operations to obtain the calibration time difference of adjacent calibration operations; obtain the temperature value before calibration and the temperature value after calibration according to the calibration temperature measurement information, calculate the difference between the temperature value before calibration and the temperature value after calibration, and mark the difference as the calibration temperature difference; normalize the calibration time difference and the calibration temperature difference and take their values, according to the formula The calibration degree value JZT is obtained; wherein ST and CW represent the calibration time difference and the calibration temperature difference respectively; ΔST and ΔCW represent the calibration time allowable difference and the calibration temperature allowable difference respectively; v1 and v2 are both preset weight factors, with values ​​of 0.56 and 0.44.

[0041] The output power analysis module obtains temperature change data and heating and cooling performance data, identifies the temperature change data to obtain set temperature parameters, system temperature data, and ambient temperature data; analyzes the set temperature parameters, system temperature data, and ambient temperature data to obtain a temperature performance impact index, and comprehensively analyzes the heating and cooling performance data and the temperature performance impact index to obtain output power adjustment information, and sends the output power adjustment information to the execution control module.

[0042] The set temperature parameters, system temperature data and ambient temperature data are analyzed in the following specific analysis methods:

[0043] Identify the set temperature parameters to obtain the set temperature peak value and the set temperature valley value, obtain the peak reference value corresponding to the set temperature peak value, subtract the peak reference value from the set temperature peak value to obtain the peak temperature difference; similarly, obtain the valley temperature difference corresponding to the set temperature underestimation value; subtract the set temperature peak value from the set temperature underestimation value to obtain the set temperature span value, obtain the pre-set temperature span reference value, calculate the set temperature span value and the temperature span reference value to obtain the difference, and mark the difference as the temperature span difference.

[0044] A right triangle is constructed with the peak temperature difference and the trough temperature difference as the two right-angled sides of the right triangle. A straight line perpendicular to the right triangle is drawn with the right-angled vertex of the right triangle as the starting point. The length of the straight line is equal to the temperature span difference. A triangular pyramid is then constructed with the right triangle and the straight line. The volume of the triangular pyramid is calculated and the volume value is marked as the set temperature impact index.

[0045] The current real-time peak temperature value and the real-time low estimate of the temperature are obtained through the system temperature data corresponding to the system; the real-time peak temperature value and the set peak temperature value are calculated to obtain the peak temperature deviation value, the peak temperature deviation value is set to multiple peak temperature deviation intervals, each peak temperature deviation interval corresponds to a peak deviation impact value, and the peak temperature deviation value corresponding to the real-time peak temperature value is matched with the multiple peak temperature deviation intervals to obtain the corresponding peak deviation impact value; similarly, the corresponding valley temperature deviation value is obtained based on the real-time low estimate of the temperature, and the corresponding valley deviation impact value is obtained according to the valley temperature deviation value; the peak deviation impact value and the valley deviation impact value are added and summed to obtain the deviation impact index.

[0046] Obtain a preset environmental standard reference temperature, and compare the current environmental temperature with the environmental standard reference temperature to obtain the difference between the current environmental temperature and the environmental standard reference temperature and mark the difference as a temperature trend value.

[0047] By formula The temperature performance influence index WD is calculated; sdw, pcw and qsw represent the set temperature influence index, deviation influence index and temperature trend value respectively; sdw' and pcw' represent the set temperature influence reference value and deviation influence reference value respectively; a1, a2 and a3 are all preset weight factors, and their values ​​are 1.23, 2.71 and 2.06 respectively.

[0048] A comprehensive analysis of the heating and cooling performance data and the temperature performance impact index is conducted as follows:

[0049] The heating and cooling performance data are identified to obtain the output power value and output loss; the output power is divided into multiple output power intervals, each output power interval corresponds to an output intensity value, and the output power value corresponding to the current heating and cooling performance data is matched with the multiple output power intervals to obtain the corresponding output intensity value; the output loss corresponding to the current output power value is obtained, the output effective power is calculated by subtracting the output loss from the output power value, and the output effective power is compared with the corresponding output power value to calculate the output efficiency value; the value obtained by multiplying the output intensity value and the output efficiency value is marked as the total output performance value.

[0050] The temperature performance impact index is divided into multiple performance impact index intervals, each temperature performance impact index interval corresponds to an expected performance requirement value, the temperature performance impact index corresponding to the current heating and cooling performance data is matched with the multiple performance impact index intervals to obtain the corresponding expected performance requirement value, the total output performance value is compared with the expected performance requirement value, and when the total output performance value is greater than the expected performance requirement value, the output power adjustment information is generated to reduce the power.

[0051] The execution control module receives the calibration adjustment information and the output power adjustment information, generates corresponding execution control instructions according to the calibration adjustment information and the output power adjustment information, and performs corresponding execution control operations through the execution control instructions.

[0052] The storage server stores the collected detection instrument data, temperature change data and heating and cooling performance data, and stores calibration adjustment information and output power adjustment information.

[0053] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A control system for high and low temperature cycles, comprising a parameter acquisition module and a storage server, characterized in that: Also includes: Automatic calibration analysis module, used to obtain detection instrument data and identify monitoring instrument data to obtain usage time data, temperature measurement data and historical calibration data; Analyze the usage time data and the temperature measurement data to obtain the usage degree value, analyze the historical calibration data to obtain the calibration degree value, set the usage degree value to multiple usage degree intervals, each usage degree interval corresponds to a calibration degree value, match the usage degree value of each detection instrument with the multiple usage degree intervals to obtain the corresponding calibration degree value, and mark it as the expected calibration degree value, compare the current calibration degree value of each detection instrument with the expected calibration degree value, obtain the calibration adjustment information of each detection instrument, and send the calibration adjustment information to the execution control module; An output power analysis module is used to obtain temperature change data and heating and cooling performance data, analyze the temperature change data to obtain a temperature performance impact index, and comprehensively analyze the heating and cooling performance data and the temperature performance impact index to obtain output power adjustment information, and send the output power adjustment information to the execution control module; The execution control module is used to receive the calibration adjustment information and the output power adjustment information, generate corresponding execution control instructions according to the calibration adjustment information and the output power adjustment information, and perform corresponding execution control operations through the execution control instructions.

2. A control system for high and low temperature cycles according to claim 1, characterized in that: The parameter acquisition module is used to collect detection instrument data, temperature change data and heating and cooling performance data, and send the detection instrument data, temperature change data and heating and cooling performance data to the storage server; the detection instrument data includes usage time data, temperature measurement data and historical calibration data; the temperature change data includes set temperature parameters, system temperature data and ambient temperature data; the heating and cooling performance data includes output power value and output loss.

3. A control system for high and low temperature cycles according to claim 1, characterized in that: The specific analysis method of the usage time data and temperature measurement data is as follows: Identify the usage time data to obtain a start timestamp and an end timestamp, each start timestamp corresponds to an end timestamp, set the daily duration as a unit time period, obtain the start timestamps of the detection instruments in the unit time and obtain the corresponding end timestamps, calculate each start timestamp and the corresponding end timestamp to obtain the corresponding duration, obtain the set minimum threshold of duration, compare the duration with the minimum threshold of duration, when the duration is greater than the minimum threshold of duration, mark the duration as a single usage duration, count the number of single usages to obtain the number of usages in each unit time period, obtain a pre-set usage threshold, compare the number of usages in the unit time period of each detection instrument with the usage threshold, when the number of usages is greater than the usage threshold, mark the value calculated by subtracting the usage threshold from the number of usages as the number of usage impact value; The temperature measurement data is identified to obtain a measured temperature value and a measurement accuracy value; the measured temperature value of each detection instrument is compared with the measured temperature values ​​of the remaining detection instruments. When the measured temperature values ​​are different, the temperature difference between the measured temperature value of each detection instrument and the measured temperature values ​​of the remaining detection instruments is calculated, and the temperature difference values ​​corresponding to the detection instruments are added and summed to obtain a temperature difference influence value; the measurement accuracy value corresponding to each detection instrument for each number of uses is compared with a set accuracy requirement value. When the measurement accuracy value is less than the accuracy requirement value, the accuracy requirement value is subtracted from the measurement accuracy value to obtain an accuracy difference value. The accuracy difference value is set as a plurality of accuracy difference intervals, each accuracy difference interval corresponds to an accuracy difference influence value, and the accuracy difference value of each detection instrument is matched with the plurality of accuracy difference intervals to obtain a corresponding accuracy difference influence value; Draw two parallel straight lines with the numerical values ​​of the frequency influence value and the temperature difference influence value, connect the same ends of the two straight lines to obtain a line segment perpendicular to the two straight lines, and the length of the line segment is equal to the numerical value of the precision difference influence value. Connect the other ends of the two straight lines to obtain an oblique line, and then construct a right-angled trapezoid with the two straight lines, the line segment and the oblique line. Calculate the area of ​​the right-angled trapezoid and mark the value of the area as the usage degree influence value.

4. A control system for high and low temperature cycles according to claim 3, characterized in that: The specific analysis method of analyzing the historical calibration data is as follows: Identify historical calibration data to obtain calibration time and calibration temperature measurement information; obtain the calibration time corresponding to each historical calibration operation, and compare the calibration time of two adjacent calibration operations to obtain the calibration time difference of adjacent calibration operations; According to the calibration temperature measurement information, the temperature value before calibration and the temperature value after calibration are obtained, the temperature value before calibration and the temperature value after calibration are calculated to obtain the difference, and the difference is marked as the calibration temperature difference; the calibration time difference and the calibration temperature difference are normalized and their values ​​are taken, according to the formula The calibration degree value JZT is obtained; wherein ST and CW represent the calibration time difference and the calibration temperature difference respectively; ΔST and ΔCW represent the calibration time allowable difference and the calibration temperature allowable difference respectively; v1 and v2 are both preset weight factors.

5. A control system for high and low temperature cycles according to claim 1, characterized in that: The specific analysis method for analyzing the temperature change data is as follows: Identify the temperature change data to obtain the set temperature parameters, system temperature data, and ambient temperature data; identify the set temperature parameters to obtain the set temperature peak value and the set temperature valley value, obtain the peak reference value corresponding to the set temperature peak value, and subtract the peak reference value from the set temperature peak value to obtain the peak temperature difference; similarly, obtain the valley temperature difference corresponding to the set temperature underestimation value; subtract the set temperature peak value from the set temperature underestimation value to obtain the set temperature span value, obtain the pre-set temperature span reference value, calculate the set temperature span value and the temperature span reference value to obtain the difference, and mark the difference as the temperature span difference; A right triangle is constructed with the peak temperature difference and the valley temperature difference as the two right-angled sides of the right triangle. A straight line perpendicular to the right triangle is drawn with the right-angled vertex of the right triangle as the starting point. The length of the straight line is equal to the temperature span difference. A triangular pyramid is then constructed with the right triangle and the straight line. The volume of the triangular pyramid is calculated and the volume value is marked as the set temperature impact index. The current real-time peak temperature value and the real-time low-estimation temperature value of the system are obtained through the system temperature data corresponding to the current system; the real-time peak temperature value and the set temperature peak value are calculated to obtain the peak temperature deviation value, and the peak temperature deviation value is set to multiple peak temperature deviation intervals, each peak temperature deviation interval corresponds to a peak deviation impact value, and the peak temperature deviation value corresponding to the real-time peak temperature value is matched with the multiple peak temperature deviation intervals to obtain the corresponding peak deviation impact value; similarly, the corresponding valley temperature deviation value is obtained based on the real-time low-estimation temperature value, and the corresponding valley deviation impact value is obtained according to the valley temperature deviation value; the peak deviation impact value and the valley deviation impact value are added and summed to obtain the deviation impact index; Obtaining a preset environmental standard reference temperature, and comparing the current environmental temperature with the environmental standard reference temperature, obtaining a difference between the current environmental temperature and the environmental standard reference temperature and marking the difference as a temperature trend value; By formula The temperature performance influence index WD is calculated; wherein sdw, pcw and qsw represent the set temperature influence index, deviation influence index and temperature trend value respectively; sdw' and pcw' represent the set temperature influence reference value and deviation influence reference value respectively; a1, a2 and a3 are all preset weight factors.

6. A control system for high and low temperature cycles according to claim 5, characterized in that: The heating and cooling performance data and the temperature performance impact index are comprehensively analyzed, and the specific analysis method is as follows: The heating and cooling performance data are identified to obtain the output power value and output loss; the output power is divided into multiple output power intervals, each output power interval corresponds to an output intensity value, and the output power value corresponding to the current heating and cooling performance data is matched with the multiple output power intervals to obtain the corresponding output intensity value; the output loss corresponding to the current output power value is obtained, the output power value is subtracted from the output loss to calculate the output effective power, and the output effective power is compared with the corresponding output power value to calculate the output efficiency value; The value obtained by multiplying the output intensity value and the output efficiency value is marked as the total output performance value; The temperature performance impact index is divided into multiple performance impact index intervals, each temperature performance impact index interval corresponds to an expected performance requirement value, the temperature performance impact index corresponding to the current heating and cooling performance data is matched with the multiple performance impact index intervals to obtain the corresponding expected performance requirement value, the total output performance value is compared with the expected performance requirement value, and when the total output performance value is greater than the expected performance requirement value, the output power adjustment information is generated to reduce the power.

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