Cold impact testing machine operation management and control system based on data analysis

Abstract

The invention relates to a cold impact testing machine operation management and control system based on data analysis. The cold impact testing machine operation management and control system comprises an operation supervision platform, a data acquisition unit, a potential influence unit, a performance supervision unit, a safety supervision unit, a front-end analysis unit, a reliability analysis unit and an execution response unit. According to the method, analysis is carried out from the two aspects of the operation performance and the operation state of the cold impact testing machine, so that the cold impact testing machine is reasonably managed in a targeted manner according to different feedback information, analysis is carried out from the two aspects of operation external performance and internal parameter supervision in the operation state on the premise that the operation performance is qualified, and the accuracy and the reliability of the cold impact testing machine are improved. Meanwhile, the influence degree of potential factors of the cold impact testing machine on operation is analyzed, the testing precision of the cold impact testing machine is improved, operation stability evaluation operation is carried out in an information feedback mode, and therefore the supervision degree of the cold impact testing machine is reasonably improved.

Description

Technical Field

[0001] The present invention relates to the field of cold shock testing machine control technology, and in particular to a cold shock testing machine operation control system based on data analysis. Background Art

[0002] Thermal shock tester is a necessary testing equipment for metal, plastic, rubber, electronic and other material industries. It is used to test the material structure or composite material to see how much it can endure in a continuous environment of extremely high and low temperatures in an instant. It can detect chemical changes or physical damage caused by thermal expansion and contraction of the sample in the shortest time. Thermal shock test equipment can simulate a comprehensive environment for the sample to be tested, and adjust the comprehensive environment according to different testing requirements. The comprehensive environment can be a constant temperature environment or a variable temperature environment. However, in the prior art, it is difficult to conduct supervision and analysis on the operating performance of the cold shock tester, which results in the cold shock tester having a negative impact on the test process and results due to its own factors, and also increases the test risk of the cold shock tester. In addition, it is impossible to analyze the potential interference information of the cold shock tester and timely conduct reasonable and targeted management of the cold shock tester to ensure the reliability of the operation test of the cold shock tester. In view of the above technical defects, a solution is now proposed. Summary of the invention

[0003] The purpose of the present invention is to provide a cold shock testing machine operation control system based on data analysis to solve the above-mentioned technical defects.

[0004] The object of the present invention can be achieved by the following technical solutions: A cold shock test machine operation control system based on data analysis, including an operation supervision platform, a data acquisition unit, a potential impact unit, a performance supervision unit, a safety supervision unit, a front-end analysis unit, a reliability analysis unit and an execution response unit; The data acquisition unit is used to collect the operation data and status data of the cold shock tester, the operation data includes the total number of historical tests and the performance variation value, and the status data includes the operation risk value and the status performance value, and sends the operation data and status data to the performance supervision unit and the safety supervision unit respectively; After receiving the operation data, the performance supervision unit immediately performs an operation performance evaluation operation on the operation data, sends the obtained qualified signal to the safety supervision unit and the front-end analysis unit, and sends the obtained unqualified signal to the execution response unit via the safety supervision unit; The potential impact unit is used to respond to the operation management instructions and collect the potential impact data of the cold shock test machine, which includes the compatibility risk value and the thermal runaway risk value, and analyze the potential operation interference of the components on the potential impact data, and send the obtained potential rejection evaluation coefficient Q to the safety supervision unit; The front-end analysis unit is used to respond to qualified signals and collect performance data of the cold shock testing machine, the performance data including characteristic performance values ​​and information risk values, and perform operational performance supervision and evaluation analysis on the performance data, and send the obtained normal signal to the reliability analysis unit, and send the obtained imbalance signal to the execution response unit.

[0005] Preferably, the operation process of the performance monitoring unit for evaluating the running performance is as follows: S1: The duration between the start time and the end time of the cold shock test machine is collected and set as a time threshold, and the invalidity risk value and performance risk value of the cold shock test machine within the time threshold are obtained; S2: The invalid risk value represents the ratio of the number of times the value corresponding to the actual temperature test parameter deviates from the set value in the total number of historical tests to the average interval duration between the invalid test times after data normalization.

[0006] Preferably, the performance risk value represents the product value of the failure rate and the mean value of the interval maintenance time after data normalization processing, and the performance risk value is compared and analyzed with the stored preset performance risk value threshold, and the part of the performance risk value greater than the preset performance risk value threshold is set as the performance abnormality value; The invalid risk value and performance variation value are labeled as WF and XP respectively; The running performance qualification coefficient R is obtained according to the formula, and the running performance qualification coefficient R is compared and analyzed with the preset running performance qualification coefficient threshold value recorded and stored internally to obtain a qualified signal or a failed signal.

[0007] Preferably, the potential operation interference analysis process of the components of the potential impact unit is as follows: SS1: Obtain the compatible risk value of the time threshold internal cold shock test machine; Obtain the thermal runaway risk value of the time threshold internal cold shock test machine; SS2: Compare and analyze the compatible risk value with the stored preset compatible risk value threshold, and set the portion of the compatible risk value that is greater than the preset compatible risk value threshold as the rejection risk value; at the same time, obtain the maximum temperature difference value of the internal area of ​​the cold shock test machine within the time threshold, and set the product value of the thermal runaway risk value and the maximum temperature difference value of the internal area after data normalization as the damage interference value, and label the rejection risk value and the damage interference value as PC and SS respectively; SS3: The potential rejection assessment coefficient Q is obtained according to the formula.

[0008] Preferably, the operation performance supervision and evaluation analysis process of the front-end analysis unit is as follows: T1: Obtain the characteristic performance value of the time threshold internal cold shock test machine; obtain the information risk value of the time threshold internal cold shock test machine; T2: Compare and analyze the characteristic performance value and information risk value with the preset characteristic performance value threshold and preset information risk value threshold that are stored internally to obtain a normal signal or an imbalance signal.

[0009] Preferably, the safety supervision unit is used to respond to the qualified signal and perform segmented operation supervision analysis on the status data. The specific segmented operation supervision analysis process is as follows: TT1: Divide the time threshold into i sub-time periods, where i is a natural number greater than zero, and obtain the operation risk value of the cold shock test machine in each sub-time period; obtain the state performance value of the cold shock test machine in each sub-time period, and label the operation risk value and the state performance value as YFi and ZBi respectively; TT2: Obtain the operation control demand coefficient Di of each sub-time period according to the formula, and then construct a set C of the operation control demand coefficient Di, obtain the discrete coefficient and mean of the set C, and set the product value of the discrete coefficient and mean of the set C after data normalization as the operation control deviation rate; TT3: Compare and analyze the operation control deviation rate with the preset operation control deviation rate threshold value recorded and stored internally to obtain a stable signal or a risk signal, and send the obtained stable signal to the reliability analysis unit, and send the obtained risk signal to the execution response unit. Preferably, after receiving the normal signal and the stable signal, the reliability analysis unit immediately performs an operation stability evaluation operation. The specific operation stability evaluation operation process is as follows: The characteristic performance value and information risk value corresponding to the normal signal are obtained, and the operation control deviation rate corresponding to the stable signal is obtained. The characteristic performance value, information risk value and operation control deviation rate are labeled as TB, XZ and YP respectively. According to the formula Obtain a reliability evaluation coefficient, compare and analyze the reliability evaluation coefficient K with the preset reliability evaluation coefficient threshold value recorded and stored internally, obtain a control signal, and send the obtained control signal to the execution response unit.

[0010] The beneficial effects of the present invention are as follows: (1) The present invention analyzes the operating performance and operating status of the cold shock tester so as to manage the cold shock tester in a reasonable and targeted manner according to different feedback information. On the one hand, it helps to improve the test effectiveness of the cold shock tester, and on the other hand, it helps to reduce unnecessary energy consumption, that is, to perform operating performance evaluation operations on the operating data to understand whether the operating performance of the cold shock tester is qualified, so as to manage it in a timely manner and reduce the influence of the cold shock tester itself on the test; (2) Under the premise that the operating performance is qualified, the present invention analyzes the external performance of the operation and the internal parameter supervision in the operating state, that is, the performance data is subjected to operation performance supervision evaluation analysis, so as to realize timely early warning feedback management and ensure the reliability of the cold shock test machine test. The state data is subjected to segmented operation supervision analysis, and the degree of influence of the potential factors of the cold shock test machine on the operation is analyzed, which helps to improve the test accuracy of the cold shock test machine. The operation stability evaluation operation is performed by means of information feedback to judge the overall operation status of the cold shock test machine test process, so as to reasonably increase the supervision of the cold shock test machine and improve the stability of the cold shock test machine test process. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The present invention will be further described below in conjunction with the accompanying drawings; Figure 1 It is a flowchart of the system of the present invention; Figure 2 It is a partial reference diagram of the second embodiment of the present invention. DETAILED DESCRIPTION

[0012] 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.

[0013] Example 1: Please refer to Figure 1 to Figure 2 As shown, the present invention is a cold shock test machine operation control system based on data analysis, including an operation supervision platform, a data acquisition unit, a potential impact unit, a performance supervision unit, a safety supervision unit, a front-end analysis unit, a reliability analysis unit and an execution response unit; The operation supervision platform is connected to the data acquisition unit and the potential impact unit in a one-way communication manner, the data acquisition unit is connected to the performance supervision unit and the safety supervision unit in a one-way communication manner, the potential impact unit and the performance supervision unit are connected to the safety supervision unit in a one-way communication manner, the performance supervision unit is connected to the front-end analysis unit in a one-way communication manner, the safety supervision unit and the front-end analysis unit are connected to the reliability analysis unit in a one-way communication manner, and the safety supervision unit, the reliability analysis unit and the front-end analysis unit are connected to the execution response unit in a one-way communication manner; When the operation supervision platform generates an operation management instruction, the operation management instruction is sent to the data collection unit and the potential impact unit. After receiving the operation management instruction, the data collection unit immediately collects the operation data and status data of the cold shock tester. The operation data includes the total number of historical tests and the performance variation value, and the status data includes the operation risk value and the status performance value. The operation data and status data are sent to the performance supervision unit and the safety supervision unit respectively. After receiving the operation data, the performance supervision unit immediately performs an operation performance evaluation operation on the operation data to understand whether the operation performance of the cold shock test machine is qualified, so as to manage it in time and reduce the influence of the cold shock test machine itself on the test; The specific operation process of the running performance evaluation is as follows: The duration between the start and end time of the cold shock tester is collected and set as the time threshold, the total number of historical tests of the cold shock tester within the time threshold is obtained, the proportion of the number of times the value corresponding to the actual temperature test parameter deviates from the set value in the total number of historical tests is obtained, and the ratio obtained after data normalization processing of the average interval duration between invalid tests is set as the invalid risk value; It should be noted that the invalid risk value is an influencing parameter that reflects the test control of the cold shock test machine. The larger the value of the invalid risk value, the greater the test abnormality risk of the cold shock test machine, and the greater the abnormal risk of the cold shock test machine's operating qualification rate; Obtain the failure rate and the mean value of the interval maintenance duration of the cold shock test machine within the time threshold, set the product value obtained after data normalization of the failure rate and the mean value of the interval maintenance duration as the performance risk value, compare and analyze the performance risk value with the stored preset performance risk value threshold, and set the part of the performance risk value that is greater than the preset performance risk value threshold as the performance variation value; It should be noted that: the larger the value of the performance variation value, the greater the test abnormality risk of the cold shock tester, and the invalid risk value and the performance variation value are marked as WF and XP respectively; According to the formula The running performance qualification coefficient is obtained, where a1 and a2 are the preset proportional factor coefficients of the invalid risk value and the performance variation value respectively. The proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process to make the calculation result more accurate. Both a1 and a2 are greater than zero. A3 is the preset correction factor coefficient, which is 2.118. R is the running performance qualification coefficient. The running performance qualification coefficient R is compared and analyzed with the preset running performance qualification coefficient threshold value stored in the internal entry: If the ratio between the running performance qualification coefficient R and the preset running performance qualification coefficient threshold is less than 1, a qualified signal is generated and sent to the safety supervision unit and the front-end analysis unit; If the ratio between the running performance qualification coefficient R and the preset running performance qualification coefficient threshold is greater than or equal to 1, a failure signal is generated, and the failure signal is sent to the execution response unit through the safety supervision unit. After receiving the failure signal, the execution response unit immediately performs the preset warning operation corresponding to the failure signal, so as to reasonably and specifically manage the cold shock test machine according to the information feedback, improve the test stability and safety of the cold shock test machine, and help improve the test accuracy and reliability of the cold shock test machine; After receiving the operation management instruction, the potential impact unit immediately collects the potential impact data of the cold shock test machine, which includes the compatibility risk value and the thermal runaway risk value, and performs a potential operation interference analysis on the potential impact data to understand the impact of the potential factors of the cold shock test machine on the operation, so as to analyze it in combination with the potential impact situation to improve the accuracy of the analysis results; The specific process of analyzing the potential interference of components is as follows: The compatible risk value of the cold shock tester within the time threshold is obtained. The compatible risk value represents the sum of the number of electrical components replaced inside the cold shock tester and the number of single electrical components replaced more than twice after data normalization. The compatible risk value is compared and analyzed with the stored preset compatible risk value threshold, and the portion corresponding to the compatible risk value greater than the preset compatible risk value threshold is set as the exclusion risk value. It should be noted that the larger the value of the exclusion risk value, the greater the potential fault interference risk of the cold shock tester. The thermal runaway risk value of the cold shock test machine within the time threshold is obtained. The thermal runaway risk value represents the part of the operating load of the cold shock test machine that exceeds the preset threshold, and the product value obtained by normalizing the duration of the operation. At the same time, the maximum temperature difference value of the internal area of ​​the cold shock test machine within the time threshold is obtained, and the product value of the thermal runaway risk value and the maximum temperature difference value of the internal area after normalizing the data is set as the damage interference value. It should be noted that the larger the value of the damage interference value is, the greater the potential fault interference risk of the cold shock test machine is, and the higher the interference caused to the running cold shock test machine is. The exclusion risk value and the damage interference value are labeled as PC and SS respectively; According to the formula The potential exclusion assessment coefficient is obtained, where f1 and f2 are the preset weight factor coefficients of the exclusion risk value and the damage interference value respectively, f3 is the preset fault tolerance factor coefficient, f1, f2 and f3 are all greater than zero, Q is the potential exclusion assessment coefficient, and the potential exclusion assessment coefficient Q is sent to the safety supervision unit.

[0014] Embodiment 2: After receiving the qualified signal, the front-end analysis unit immediately collects the performance data of the cold shock test machine, the performance data including the characteristic performance value and the information risk value, and performs operation performance supervision evaluation and analysis on the performance data, so as to provide timely early warning feedback management and ensure the reliability of the cold shock test machine test; The specific operation performance supervision, assessment and analysis process is as follows: The characteristic performance value of the cold shock tester within the time threshold is obtained. The characteristic performance value represents the part of the value corresponding to the operating characteristic parameter of the cold shock tester that exceeds the preset threshold, and the product value obtained after data normalization processing with the duration. The operating characteristic parameters include the operating vibration amplitude, the operating abnormal sound value, etc. It should be noted that the larger the value of the characteristic performance value, the higher the risk of abnormal performance during the operation of the cold shock tester; The information risk value of the cold shock tester within the time threshold is obtained. The information risk value indicates the number of deviations between the displayed data and the collected data of the cold shock tester, and the product value obtained after data normalization with the transmission delay time. The displayed data includes temperature value, current value, etc., and the collected data includes actual temperature value, actual current value, etc. The transmission delay time indicates the part of the time between the collection time and the display time that exceeds the preset threshold. It should be noted that the larger the value of the information risk value, the higher the risk of data distortion during the operation of the cold shock tester. Compare and analyze the characteristic performance value and information risk value with the preset characteristic performance value threshold and preset information risk value threshold that are stored internally: If the characteristic performance value is less than the preset characteristic performance value threshold, and the information risk value is less than the preset information risk value threshold, a normal signal is generated and sent to the reliability analysis unit; If the characteristic performance value is greater than or equal to the preset characteristic performance value threshold, or the information risk value is greater than or equal to the preset information risk value threshold, an imbalance signal is generated and sent to the execution response unit. After receiving the imbalance signal, the execution response unit immediately performs the preset warning operation corresponding to the imbalance signal, and then adjusts the cold shock tester in time to ensure the test reliability and effectiveness of the cold shock tester, while reducing unnecessary resource losses; After receiving the qualified signal, potential rejection evaluation coefficient Q and status data, the safety supervision unit immediately performs segmented operation supervision analysis on the status data to determine whether the cold shock test machine is running safely, so as to conduct early warning feedback management in a timely manner to ensure the operation stability and safety of the cold shock test machine, and at the same time help to improve the test accuracy of the cold shock test machine. The specific segmented operation supervision analysis process is as follows: The time threshold is divided into i sub-time periods, where i is a natural number greater than zero. The operation risk value of the cold shock tester in each sub-time period is obtained. The operation risk value represents the difference between the instantaneous temperature change value of the temperature control component and the preset instantaneous temperature change value threshold, and then the sum of the voltage discrete value obtained after data normalization. The voltage discrete value acquisition process is: The sub-time period is divided into o sub-time nodes, where o is a natural number greater than zero, and the operating voltage value of the cold shock tester in each sub-time node is obtained, a set A of operating voltage values ​​is constructed, and a discrete coefficient of set A is obtained. The difference between the discrete coefficient of set A and a preset threshold is set as the voltage discrete value. It should be noted that the larger the value of the operating risk value, the greater the operating failure risk of the cold shock tester; The state performance value of the cold shock tester in each sub-time period is obtained, and the state performance value analysis process is as follows: when the cold shock tester reaches the preset temperature threshold, the internal space of the cold shock tester is divided into g sub-region blocks, where g is a natural number greater than zero, and the temperature mean in each sub-region block within the time threshold is obtained, and then a set B of temperature means is constructed, and the difference between the maximum subset and the minimum subset in the set B is set as the temperature gradient coefficient, and the difference between the temperature gradient coefficient and the preset temperature gradient coefficient threshold is set as the state performance value. It should be noted that the larger the value of the state performance value, the greater the risk of operation failure of the cold shock tester and the greater the risk of test error. The operation risk value and the state performance value are labeled YFi and ZBi respectively; According to the formula The operation control demand coefficient of each sub-time period is obtained, where v1, v2 and v3 are preset error factor coefficients of the operation risk value, state performance value and potential rejection assessment coefficient respectively, v1, v2 and v3 are all greater than zero, v4 is the preset compensation factor coefficient, and its value is 1.286, Di is the operation control demand coefficient of each sub-time period, and a set C of the operation control demand coefficient Di is constructed, and the discrete coefficient and mean of the set C are obtained, and the product value obtained by data normalization of the discrete coefficient and mean of the set C is set as the operation control deviation rate, and the operation control deviation rate is compared and analyzed with the preset operation control deviation rate threshold value stored in its internal entry: If the ratio between the operation control deviation rate and the preset operation control deviation rate threshold is less than 1, a stability signal is generated and the stability signal is sent to the reliability analysis unit; If the difference between the operation control deviation rate and the preset operation control deviation rate threshold is greater than or equal to 1, a risk signal is generated and sent to the execution response unit. After receiving the risk signal, the execution response unit immediately performs the preset warning operation corresponding to the risk signal, so as to adjust the cold shock tester according to the information feedback to ensure the test effectiveness of the cold shock tester and reduce unnecessary test errors; After receiving the normal signal and the stable signal, the reliability analysis unit immediately performs the operation stability evaluation operation to determine the overall reliability of the cold shock test machine test process. The specific operation stability evaluation operation process is as follows: The characteristic performance value and information risk value corresponding to the normal signal are obtained, and the operation control deviation rate corresponding to the stable signal is obtained. The characteristic performance value, information risk value and operation control deviation rate are labeled as TB, XZ and YP respectively. According to the formula The reliability evaluation coefficient K is obtained and compared with the preset reliability evaluation coefficient threshold value stored in the internal storage: If the ratio between the reliability evaluation coefficient K and the preset reliability evaluation coefficient threshold is less than 1, no signal is generated; If the ratio between the reliability evaluation coefficient K and the preset reliability evaluation coefficient threshold is greater than or equal to 1, a control signal is generated and sent to the execution response unit. After receiving the control signal, the execution response unit immediately performs the preset warning operation corresponding to the control signal, so as to increase the supervision of the cold shock tester and improve the stability and safety of the test process of the cold shock tester; In summary, the present invention analyzes the operating performance and operating status of the cold shock tester from two perspectives, so as to manage the cold shock tester rationally and in a targeted manner according to different feedback information, which helps to improve the test effectiveness of the cold shock tester on the one hand, and helps to reduce unnecessary energy consumption on the other hand; And under the premise of qualified operation performance, the external performance and internal parameter supervision in the operation status are analyzed, that is, the performance data is evaluated and analyzed for operation performance supervision, so as to provide timely early warning feedback management, ensure the reliability of the cold shock test machine test, and conduct segmented operation supervision analysis on the status data; And combined with the influence of potential factors of the cold shock test machine on the operation, the degree of analysis is analyzed to improve the accuracy of the analysis results and judge whether the operation of the cold shock test machine is safe, so as to carry out early warning feedback management in time, ensure the operation stability and safety of the cold shock test machine, and at the same time help to improve the test accuracy of the cold shock test machine; And through information feedback, the operation stability evaluation operation is carried out to judge the overall operation status of the cold shock testing machine test process, so as to reasonably increase the supervision of the cold shock testing machine and improve the stability of the cold shock testing machine test process.

[0015] The size of the threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the cardinality set by technical personnel in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value, the above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value. The coefficients in the formula are set by technical personnel in this field according to actual conditions.

[0016] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A cold shock testing machine operation control system based on data analysis, characterized in that: It includes operation supervision platform, data collection unit, potential impact unit, performance supervision unit, safety supervision unit, front-end analysis unit, reliability analysis unit and execution response unit; The data acquisition unit is used to collect the operation data and status data of the cold shock tester, the operation data includes the total number of historical tests and the performance variation value, and the status data includes the operation risk value and the status performance value, and sends the operation data and status data to the performance supervision unit and the safety supervision unit respectively; After receiving the operation data, the performance supervision unit immediately performs an operation performance evaluation operation on the operation data, sends the obtained qualified signal to the safety supervision unit and the front-end analysis unit, and sends the obtained unqualified signal to the execution response unit via the safety supervision unit; The potential impact unit is used to respond to the operation management instructions and collect the potential impact data of the cold shock test machine, which includes the compatibility risk value and the thermal runaway risk value, and analyze the potential operation interference of the components on the potential impact data, and send the obtained potential rejection evaluation coefficient Q to the safety supervision unit; The front-end analysis unit is used to respond to qualified signals and collect performance data of the cold shock testing machine, the performance data including characteristic performance values ​​and information risk values, and perform operational performance supervision and evaluation analysis on the performance data, and send the obtained normal signal to the reliability analysis unit, and send the obtained imbalance signal to the execution response unit.

2. According to the data analysis-based cold shock testing machine operation control system of claim 1, it is characterized in that: The operation process of the performance monitoring unit for evaluating the running performance is as follows: S1: The duration between the start time and the end time of the cold shock test machine is collected and set as a time threshold, and the invalidity risk value and performance risk value of the cold shock test machine within the time threshold are obtained; S2: The invalid risk value represents the ratio of the number of times the value corresponding to the actual temperature test parameter deviates from the set value in the total number of historical tests to the average interval duration between the invalid test times after data normalization.

3. According to claim 2, a cold shock testing machine operation control system based on data analysis is characterized in that: The performance risk value represents the product value of the failure rate and the average of the interval maintenance time after data normalization processing. The performance risk value is compared and analyzed with the stored preset performance risk value threshold, and the part of the performance risk value greater than the preset performance risk value threshold is set as the performance abnormality value; The invalid risk value and performance variation value are labeled as WF and XP respectively; The running performance qualification coefficient R is obtained according to the formula, and the running performance qualification coefficient R is compared and analyzed with the preset running performance qualification coefficient threshold value recorded and stored internally to obtain a qualified signal or a failed signal.

4. The cold shock testing machine operation control system based on data analysis according to claim 1 is characterized in that: The process of analyzing the potential operation interference of the components of the potentially affecting unit is as follows: SS1: Obtain the compatible risk value of the time threshold internal cold shock test machine; Obtain the thermal runaway risk value of the time threshold internal cold shock test machine; SS2: Compare and analyze the compatible risk value with the stored preset compatible risk value threshold, and set the portion of the compatible risk value that is greater than the preset compatible risk value threshold as the exclusion risk value; At the same time, the maximum temperature difference value of the internal area of ​​the time threshold internal cold shock test machine is obtained, and the product value obtained by the thermal runaway risk value and the maximum temperature difference value of the internal area after data normalization is set as the damage interference value, and the rejection risk value and the damage interference value are labeled as PC and SS respectively; SS3: The potential rejection assessment coefficient Q is obtained according to the formula.

5. The cold shock testing machine operation control system based on data analysis according to claim 1 is characterized in that: The operation performance supervision and evaluation analysis process of the front-end analysis unit is as follows: T1: Obtain the characteristic performance value of the time threshold internal cold shock test machine; obtain the information risk value of the time threshold internal cold shock test machine; T2: Compare and analyze the characteristic performance value and information risk value with the preset characteristic performance value threshold and preset information risk value threshold that are stored internally to obtain a normal signal or an imbalance signal.

6. The cold shock testing machine operation control system based on data analysis according to claim 1 is characterized in that: The safety supervision unit is used to respond to the qualified signal and perform segmented operation supervision analysis on the status data. The specific segmented operation supervision analysis process is as follows: TT1: Divide the time threshold into i sub-time periods, where i is a natural number greater than zero, and obtain the operation risk value of the cold shock testing machine in each sub-time period; The state performance value of the cold shock testing machine in each sub-time period is obtained, and the operation risk value and the state performance value are labeled as YFi and ZBi respectively; TT2: Obtain the operation control demand coefficient Di of each sub-time period according to the formula, and then construct a set C of the operation control demand coefficient Di, obtain the discrete coefficient and mean of the set C, and set the product value of the discrete coefficient and mean of the set C after data normalization as the operation control deviation rate; TT3: Compare and analyze the operation control deviation rate with the preset operation control deviation rate threshold value recorded and stored internally to obtain a stable signal or a risk signal, and send the obtained stable signal to the reliability analysis unit, and send the obtained risk signal to the execution response unit. According to the cold shock testing machine operation control system based on data analysis according to claim 1, it is characterized in that: After receiving the normal signal and the stable signal, the reliability analysis unit immediately performs the operation stability evaluation operation. The specific operation stability evaluation operation process is as follows: The characteristic performance value and information risk value corresponding to the normal signal are obtained, and the operation control deviation rate corresponding to the stable signal is obtained. The characteristic performance value, information risk value and operation control deviation rate are labeled as TB, XZ and YP respectively. According to the formula Obtain a reliability evaluation coefficient, compare and analyze the reliability evaluation coefficient K with the preset reliability evaluation coefficient threshold value recorded and stored internally, obtain a control signal, and send the obtained control signal to the execution response unit.

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