A control method and device for precision control of laboratory testing equipment

Abstract

The present invention relates to the technical field of detection equipment, and in particular to a control method and device for precision control of detection equipment in an experiment, the method comprising: obtaining precision control data of laboratory detection equipment, the precision control data being a measurement deviation value obtained according to a first control method and a measurement deviation value obtained according to a second control method; performing abnormality judgment on the precision control data using a plurality of abnormality judgment methods to obtain abnormality judgment results, the plurality of abnormality judgment methods comprising: a single measurement value abnormality judgment method, a statistical abnormality judgment method between devices or between methods, a control limit single value change abnormality judgment method, and a control limit periodic fluctuation coefficient abnormality judgment method; when the abnormality judgment result is abnormal, executing corresponding abnormality handling measures, and analyzing the precision control data from multiple aspects, which can ensure the timeliness, consistency and reliability of the statistical analysis of actual quality control activities, and is conducive to improving the accuracy and stability of laboratory detection.

Description

Technical Field

[0001] The present invention relates to the technical field of detection equipment, and in particular to a control method and device for precision control of laboratory detection equipment. Background Art

[0002] In the steel testing laboratory, a series of quality control activities will be carried out. These quality control activities can ensure the reliability and validity of the test results, and promptly discover problems that affect the test results, such as systematic deviations in the test results, unstable measurement systems, and out-of-control measurement processes, so as to reduce the technical quality risks of the laboratory.

[0003] Quality control activities generate a series of quality control data. How to effectively and in real time detect and determine quality control data anomalies, and promptly prompt the implementation of targeted corrective or preventive measures, is a complex and arduous task. It is understood that the main control method of most laboratories is to determine whether a test value exceeds the set management control limit. On this basis, or based on this, use SPC control charts, MSA measurement system analysis and other methods to identify potential and hidden problems in quality control activities.

[0004] However, in actual quality control activities, we often rely on detecting single values ​​to judge abnormalities, which cannot guarantee the timeliness, consistency and reliability of the statistical analysis of actual quality control activities. Summary of the Invention

[0005] In view of the above problems, the present invention is proposed to provide a control method and device for precision control of laboratory testing equipment that overcomes the above problems or at least partially solves the above problems.

[0006] In a first aspect, the present invention provides a method for controlling the precision of laboratory testing equipment, comprising:

[0007] Acquire precision control data of laboratory testing equipment, wherein the precision control data is a measurement deviation value obtained according to the first control method and a measurement deviation value obtained according to the second control method;

[0008] Adopting multiple abnormality judgment methods to judge the abnormality of the precision control data and obtain abnormality judgment results, the multiple abnormality judgment methods include: single measurement value abnormality judgment method, inter-device or inter-method statistical abnormality judgment method, control limit single value change abnormality judgment method, control limit periodic fluctuation coefficient abnormality judgment method;

[0009] When the abnormality judgment result is abnormal, corresponding abnormality handling measures are executed.

[0010] Preferably, the first control method is to repeatedly measure the measured sample multiple times, or to measure the same type of detection equipment multiple times before and after; the second control method is to use a standard substance or an internal reference sample to measure the detection equipment.

[0011] Preferably, the adopting the multiple abnormality judgment methods to perform abnormality judgment on the precision control data to obtain abnormality judgment results includes:

[0012] When the accuracy control data is judged to be abnormal by using a single measurement value abnormality judgment method, a single measurement value and a control chart are obtained based on the accuracy control data, and an abnormality judgment result is obtained based on a judgment rule between the single measurement value and the control chart;

[0013] When judging the precision control data using a statistical anomaly judgment method between devices or methods, obtaining, based on the precision control data, a mean of the differences in the measurement data between devices or methods and a statistically obtained P value, and comparing the statistically obtained P value with a first threshold based on the mean of the differences in the measurement data between devices or methods to obtain an anomaly judgment result, where the P value is a probability of occurrence of the mean of the differences in the measurement data between devices or methods within a period;

[0014] When judging the precision control data by adopting the control limit single value change abnormality judgment method, based on the initial control limit and the preset period control limit, the control limit single value change coefficient is obtained, and the control limit single value change coefficient is compared with the preset range to obtain the abnormality judgment result;

[0015] When the accuracy control data is judged by using the control limit periodic fluctuation coefficient abnormality judgment method, the control limit periodic fluctuation coefficient is obtained based on multiple continuous periodic control limits, and the control limit periodic fluctuation coefficient is compared with the second threshold to obtain an abnormality judgment result.

[0016] Preferably, the judgment rule between the single measurement value and the control chart includes:

[0017] Corresponding to the first control method, the single measurement value and the control chart correspond to a first judgment rule; corresponding to the second control method, the single measurement value and the control chart correspond to a second judgment rule.

[0018] Preferably, when the abnormality judgment result is abnormal, executing corresponding abnormality handling measures includes:

[0019] When the abnormality judgment result is that the single measurement value of the first control method is abnormal, judging whether the single measurement value in the second control method is abnormal;

[0020] If so, calibrate and maintain the accuracy of the testing equipment;

[0021] When the abnormality judgment result is that the single measurement value of the second control method is abnormal, the detection equipment is calibrated and the accuracy maintenance is performed.

[0022] Preferably, when the abnormality judgment result is abnormal, executing corresponding abnormality handling measures includes:

[0023] When the abnormality judgment result is that the P value exceeds the first threshold, or

[0024] When the abnormal judgment result is that the control limit single value variation coefficient is greater than the maximum value of the preset range for a single time, or

[0025] When the abnormality judgment result is that the control limit periodic fluctuation coefficient is greater than the second threshold for the first time,

[0026] Determining whether a single measurement value in the first control method and a single measurement value in the second control method are abnormal;

[0027] If the single measurement value in the first control method is abnormal, or if both the single measurement value in the first control method and the single measurement value in the second control method are normal, updating the detection content or detection range of the detection device and the detection range of the detection method;

[0028] If a single measurement value in the second control method is abnormal, the detection equipment is calibrated and the accuracy is maintained, or the process parameters of the detection method are adjusted, or the matching between the detection equipment and the detection method is adjusted.

[0029] Preferably, when the abnormality judgment result is abnormal, executing corresponding abnormality handling measures includes:

[0030] When the abnormal judgment result is that the control limit single value variation coefficient appears to be continuously less than the minimum value of the preset range, adjusting the control limit of the detection equipment;

[0031] When the abnormal judgment result is that the control limit single value variation coefficient appears to be continuously greater than the maximum value of the preset range, the detection equipment is calibrated and the accuracy maintenance is performed;

[0032] When the abnormality judgment result is that the control limit periodic fluctuation coefficient appears to be continuously greater than the second threshold, the detection equipment is calibrated and the accuracy maintenance is performed.

[0033] In a second aspect, the present invention further provides a control device for precision control of laboratory testing equipment, comprising:

[0034] An acquisition module, configured to acquire precision control data of a laboratory testing device, wherein the precision control data is a measurement deviation value obtained according to the first control method or a measurement deviation value obtained according to the second control method;

[0035] An acquisition module is used to perform abnormality judgment on the precision control data using multiple abnormality judgment methods to obtain abnormality judgment results. The multiple abnormality judgment methods include: a single measurement value abnormality judgment method, an inter-device or inter-method statistical abnormality judgment method, a control limit single value change abnormality judgment method, and a control limit periodic fluctuation coefficient abnormality judgment method;

[0036] The execution module is used to execute corresponding exception handling measures when the exception judgment result is abnormal.

[0037] In a third aspect, the present invention further provides a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned method steps when executing the program.

[0038] In a fourth aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which implements the above steps when executed by a processor.

[0039] One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages:

[0040] The present invention provides a control method for precision control of an experimental detection equipment, comprising: obtaining precision control data of a laboratory detection equipment, the precision control data being a measurement deviation value obtained according to a first control method and a measurement deviation value obtained according to a second control method; performing abnormality judgment on the precision control data using a plurality of abnormality judgment methods to obtain an abnormality judgment result, the plurality of abnormality judgment methods comprising: a single measurement value abnormality judgment method, a statistical abnormality judgment method between devices or between methods, a control limit single value change abnormality judgment method, and a control limit periodic fluctuation coefficient abnormality judgment method; when the abnormality judgment result is abnormal, executing corresponding abnormality handling measures, adopting a plurality of abnormality judgment methods to perform abnormality judgment on the precision control data respectively, and analyzing the precision control data from multiple aspects, thereby ensuring the timeliness, consistency and reliability of the statistical analysis of actual quality control activities, and being beneficial to improving the accuracy and stability of laboratory detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. Throughout the drawings, the same reference figures denote the same components. In the drawings:

[0042] Figure 1 A schematic flow chart showing the steps of a control method for precision control of laboratory testing equipment according to an embodiment of the present invention is shown;

[0043] Figure 2 A schematic diagram showing the precision control data outside the control diagram A area in an embodiment of the present invention is shown;

[0044] Figure 3 A schematic diagram showing an embodiment of the present invention in which the precision control data is the second point in which two of three consecutive points fall within or outside the control graph A area;

[0045] Figure 4 A schematic diagram showing an embodiment of the present invention in which the precision control data is the fourth point among five consecutive points where four points fall within or outside the control graph B area;

[0046] Figure 5 A schematic diagram showing the ninth or more consecutive points of precision control data on one side (upper or lower) of area C of the control graph or outside area C in an embodiment of the present invention is shown;

[0047] Figure 6 A schematic diagram showing an embodiment of the present invention in which the precision control data point is the sixth or more points that continuously increase or decrease;

[0048] Figure 7 It shows a schematic structural diagram of a control device for precision control of laboratory testing equipment according to an embodiment of the present invention;

[0049] Figure 8 A schematic structural diagram of a computer device for implementing a control method for precision control of laboratory testing equipment in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0050] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0051] Example 1

[0052] The embodiment of the present invention provides a control method for the precision control of laboratory testing equipment, such as Figure 1 As shown, including:

[0053] S101, obtaining precision control data of laboratory testing equipment, where the precision control data is a measurement deviation value obtained according to a first control method and a measurement deviation value obtained according to a second control method.

[0054] S102, use multiple abnormality judgment methods to judge the accuracy control data for abnormality and obtain abnormality judgment results. The multiple abnormality judgment methods include: single measurement value abnormality judgment method, statistical abnormality judgment method between devices or methods, control limit single value change abnormality judgment method, and control limit periodic fluctuation coefficient abnormality judgment method.

[0055] S103: When the abnormality judgment result is abnormal, execute corresponding abnormality handling measures.

[0056] In a specific embodiment, the physical testing equipment in the steel industry testing laboratory includes mechanical testing and physical property testing. Among them, mechanical testing includes tensile testing, hardness testing, etc.; physical property testing includes magnetic performance testing, electrical performance testing, etc.

[0057] These testing devices specifically obtain precision control data using a first control method, which involves repeated testing of a sample or multiple back-and-forth testing with the same type of testing equipment, and a second control method, which involves testing the testing equipment using a standard substance or internal reference sample.

[0058] Thus, S101, the precision control data of the laboratory testing equipment is obtained.

[0059] For the measurement deviation values ​​obtained by the first control method and the measurement deviation values ​​obtained by the second control method, corresponding precision control limits need to be set. The precision control limits are the maximum values ​​within which the normal fluctuation of the detection deviation values ​​is allowed. Usually, the detection equipment is judged to be abnormal based on the precision control limits. Specifically, the precision control limits have a set control limit range, as shown in the following table:

[0060]

[0061]

[0062] After obtaining the precision control data of the laboratory testing equipment, execute S102, use multiple abnormality judgment methods to judge the abnormality of the precision control data, and obtain abnormality judgment results. The multiple abnormality judgment methods include: single measurement value abnormality judgment method, statistical abnormality judgment method between equipment or methods, control limit single value change abnormality judgment method and control limit periodic fluctuation coefficient abnormality judgment method.

[0063] The following is a detailed description of each abnormality judgment method.

[0064] The first abnormality judgment method:

[0065] When the single measurement value abnormality judgment method is used to judge the accuracy control data for abnormality, the single measurement value and the control chart are obtained based on the accuracy control data, and the abnormality judgment result is obtained based on the judgment rule between the single measurement value and the control chart.

[0066] First, use x i The precision control data can be the measured deviation values ​​from multiple repeated tests obtained using the first control method, as well as the measured deviation values ​​between the test values ​​obtained using the second control method and the standard value or reference value. A control chart is then created based on the precision control data. This control chart is a single value-moving deviation control chart.

[0067] The judgment rule between a single measurement value and a control chart depends on the control method type. For the first control method, the first judgment rule applies to the comparison between a single measurement value and a control chart. For the second control method, the second judgment rule applies to the comparison between a single measurement value and a control chart.

[0068] Among them, according to the normal distribution, in the control chart, -1σ~1σ is determined as area C, 1σ~2σ and -1σ~-2σ are determined as area B, and 2σ~3σ and -2σ~-3σ are determined as area A.

[0069] For the first judgment rule, when the precision control data is outside the control chart A area, such as Figure 2 As shown; or the precision control data is the second point in which two of the three consecutive points fall within or outside the A area of ​​the control chart, such as Figure 3 As shown; or the precision control data is the 4th point among 5 consecutive points that fall in or outside the control chart B area, such as Figure 4 Among them, the precision control data marked with “×” are data in abnormal status.

[0070] For the second judgment rule, when the precision control data is outside the control chart A area, such as Figure 2 As shown; or the precision control data is the ninth or more points on one side (upper or lower) of the control chart C area or outside the C area, such as Figure 5 As shown; the precision control data point is the sixth or above point that increases or decreases continuously, such as Figure 6 As shown; the precision control data is the second point among three consecutive points where two points fall within or outside the A area of ​​the control chart, such as Figure 3 As shown in Figure 2, the precision control data is the fourth point among five consecutive points where four points fall within or outside the control chart B area, such as Figure 4 Among them, the precision control data marked with “×” are data in abnormal status.

[0071] Thus, it can be determined that the single measurement value of the first control method is abnormal, and the single measurement value of the second control method is abnormal.

[0072] In the corresponding S103, when the abnormality determination result is that the single measurement value of the first control method is abnormal, it is determined whether the single measurement value of the second control method is abnormal;

[0073] If so, the abnormal handling measures implemented are to calibrate and maintain the accuracy of the detection equipment;

[0074] When the abnormality judgment result is that the single measurement value of the second control method is abnormal, the abnormality handling measure performed is to calibrate and perform precision maintenance on the detection equipment.

[0075] If the single measurement value in the second control method has no abnormality, the equipment is normal and no abnormality handling measures are required.

[0076] The second abnormality judgment method:

[0077] When judging the precision control data by using a statistical anomaly judgment method between devices or methods, the mean of the difference in measurement data between devices or methods and the statistically obtained P value are obtained based on the precision control data. Based on the mean of the difference in measurement data between devices or methods, the statistically obtained P value is compared with the first threshold to obtain an anomaly judgment result. The P value is the probability of the mean of the difference in measurement data between devices or methods occurring within a cycle.

[0078] First, obtain the mean of the measurement differences between devices or methods. For two sets of equipment or two methods, use a two-sample T-test, and for three or more sets of equipment or three or more methods, use a one-way analysis of variance. From this, the P value of the calculated statistic is obtained. This P value is the probability of the mean of the measurement data differences between devices or methods occurring within a period.

[0079] Next, after obtaining the P value, it is compared with a first threshold. If the P value is lower than the first threshold, it is considered that there is a systematic difference in the mean of the measurement deviation values ​​between devices or methods. If the P value exceeds the first threshold, the abnormality judgment result is determined to be abnormal. The first threshold is generally set to 0.05, but considering factors such as cost, the first threshold can be set to 0.1.

[0080] Correspondingly, in the event of an abnormality, S103 is executed to perform corresponding abnormality handling measures.

[0081] Specifically, when the abnormal judgment result is that the P value exceeds the first threshold value, it is determined whether the single measurement value in the first control method and the single measurement value in the second control method are abnormal; if the single measurement value in the first control method is abnormal, or the single measurement value in the first control method and the single measurement value in the second control method are normal, the detection content or detection range of the detection equipment and the detection range of the detection method are updated.

[0082] If a single measurement value in the second control method is abnormal, the detection equipment is calibrated and the accuracy is maintained, or the process parameters of the detection method are adjusted, or the matching between the detection equipment and the detection method is adjusted.

[0083] Such treatment measures can effectively avoid the above-mentioned abnormal situations and improve the accuracy of precision control.

[0084] The third abnormality judgment method:

[0085] When the control limit single value change abnormality judgment method is used to judge the precision control data, the control limit single value change coefficient is obtained based on the initial control limit and the preset period control limit, and the control limit single value change coefficient is compared with the preset range to obtain the abnormality judgment result.

[0086] First, the initial control limit D0 is obtained. The initial control limit D0 is obtained according to the formula D0=K*S, where K is the probability level of the existence of data with unknown measurement fluctuations in the precision control data, and S is the standard deviation of the precision control data.

[0087] With the continuous collection of precision control data, the preset cycle control limit D is obtained within a certain period of time. i , also according to the above formula, the preset cycle control limit is obtained. Since the data is collected at different times, the control limit will change with the change of time, environmental factors and other factors.

[0088] The calculation formula of the control limit single value variation coefficient C is as follows:

[0089]

[0090] Compare the control limit single value variation coefficient C with a preset range of 0.7 to 1.1. If 0.7 ≤ C ≤ 1.1, confirm that the control limit single value is normal. If C < 0.7 or C > 1.1, confirm that the control limit single value is abnormal. If C < 0.7, D0 needs to be reset. If C > 1.1, the detection equipment has an unexplained abnormality, and analysis needs to be stopped to identify the cause. The allowable fluctuation range of the control limit single value variation coefficient C is adjusted accordingly based on the detection equipment, control costs, and other factors.

[0091] The abnormal judgment results of the control limit single value variation coefficient C can be divided into several situations:

[0092] In the first case, the control limit single value variation coefficient is less than the minimum value of the set range at a single time.

[0093] In the second case, the control limit single value variation coefficient appears to be continuously less than the minimum value of the preset range.

[0094] In the third case, the coefficient of variation of the control limit single value is greater than the maximum value of the preset range once;

[0095] In the fourth case, the coefficient of variation of the control limit single value is continuously greater than the maximum value of the preset range.

[0096] In the first case, the detection equipment is normal. In the second case, the abnormal handling measure implemented is to adjust the control limit of the detection equipment; in the third case, the handling measure implemented is:

[0097] Determine whether the single measurement value in the first control method and the single measurement value in the second control method are abnormal; if the single measurement value in the first control method is abnormal, or if both the single measurement value in the first control method and the single measurement value in the second control method are normal, update the detection content or detection range of the detection equipment and the detection range of the detection method.

[0098] If a single measurement value in the second control method is abnormal, the detection equipment is calibrated and the accuracy is maintained, or the process parameters of the detection method are adjusted, or the matching between the detection equipment and the detection method is adjusted.

[0099] For the fourth case, the abnormal handling measures implemented are to calibrate and maintain the accuracy of the detection equipment.

[0100] Such treatment measures can effectively avoid the above-mentioned abnormal situations and improve the accuracy of precision control.

[0101] The fourth abnormality judgment method:

[0102] When the control limit periodic fluctuation coefficient abnormality judgment method is used to judge the precision control data, the control limit periodic fluctuation coefficient is obtained based on multiple continuous periodic control limits, and the control limit periodic fluctuation coefficient is compared with the second threshold to obtain the abnormality judgment result.

[0103] By obtaining multiple consecutive periodic control limits, the control limit periodic fluctuation coefficient S is obtained according to the following formula:

[0104]

[0105] The control limit cyclic fluctuation coefficient S is compared with a second threshold value of 20%. When S ≤ 20%, the control limit cyclic fluctuation coefficient S is normal, i.e., there is no abnormality. When S is greater than 20%, the control limit cyclic fluctuation coefficient S of the detection device is abnormal, and it is necessary to stop and analyze to find the cause. The second threshold value can be adjusted accordingly based on the detection equipment, control costs, etc.

[0106] The abnormal judgment results of the control limit periodic fluctuation coefficient S can be divided into several situations:

[0107] In the first case, the control limit periodic fluctuation coefficient is greater than the second threshold for the first time;

[0108] In the second case, the control limit periodic fluctuation coefficient appears to be continuously greater than the second threshold.

[0109] For the first case, the exception handling measures implemented are:

[0110] Determine whether the single measurement value in the first control method and the single measurement value in the second control method are abnormal; if the single measurement value in the first control method is abnormal, or if both the single measurement value in the first control method and the single measurement value in the second control method are normal, update the detection content or detection range of the detection equipment and the detection range of the detection method.

[0111] If a single measurement value in the second control method is abnormal, the detection equipment is calibrated and the accuracy is maintained, or the process parameters of the detection method are adjusted, or the matching between the detection equipment and the detection method is adjusted.

[0112] For the second case, the abnormal handling measures implemented are to calibrate and maintain the accuracy of the detection equipment.

[0113] Such treatment measures can effectively avoid the above-mentioned abnormal situations and improve the accuracy of precision control.

[0114] After the above-mentioned abnormality handling measures are taken, the laboratory testing equipment needs to be re-judged for abnormalities on the precision control data according to the above-mentioned multiple abnormality judgment methods until there are no abnormalities.

[0115] One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages:

[0116] The present invention provides a control method for precision control of an experimental detection equipment, comprising: obtaining precision control data of a laboratory detection equipment, the precision control data being a measurement deviation value obtained according to a first control method, or a measurement deviation value obtained according to a second control method; performing abnormality judgment on the precision control data using a plurality of abnormality judgment methods to obtain an abnormality judgment result, the plurality of abnormality judgment methods comprising: a single measurement value abnormality judgment method, a statistical abnormality judgment method between devices or between methods, a control limit single value change abnormality judgment method, and a control limit periodic fluctuation coefficient abnormality judgment method; when the abnormality judgment result is abnormal, executing corresponding abnormality handling measures, adopting a plurality of abnormality judgment methods to perform abnormality judgment on the precision control data respectively, and analyzing the precision control data from multiple aspects, thereby ensuring the timeliness, consistency and reliability of the statistical analysis of actual quality control activities, and being beneficial to improving the accuracy and stability of laboratory detection.

[0117] Example 2

[0118] Based on the same inventive concept, the embodiment of the present invention also provides a control device for precision control of laboratory testing equipment, such as Figure 7 As shown, including:

[0119] An acquisition module 701 is configured to acquire precision control data of a laboratory testing device, wherein the precision control data is a measurement deviation value obtained according to a first control method or a measurement deviation value obtained according to a second control method;

[0120] An acquisition module 702 is configured to perform abnormality judgment on the precision control data using a plurality of abnormality judgment methods to obtain abnormality judgment results. The plurality of abnormality judgment methods include: a single measurement value abnormality judgment method, an inter-device or inter-method statistical abnormality judgment method, a control limit single value change abnormality judgment method, and a control limit periodic fluctuation coefficient abnormality judgment method.

[0121] The execution module 703 is used to execute corresponding exception handling measures when the exception judgment result is abnormal.

[0122] In an optional embodiment, the first control method is to repeatedly measure the measured sample multiple times, or to measure the same type of detection equipment multiple times before and after; the second control method is to use a standard substance or an internal reference sample to measure the detection equipment.

[0123] In an optional embodiment, the obtaining module 702 includes:

[0124] a first obtaining unit, configured to obtain, based on the precision control data, a single measurement value and a control chart when performing abnormality judgment on the precision control data using a single measurement value abnormality judgment method, and obtain an abnormality judgment result based on a judgment rule between the single measurement value and the control chart;

[0125] a second obtaining unit for obtaining, based on the precision control data, a mean of the differences in the measurement data between the devices or methods and a statistically obtained P value when judging the precision control data by using a statistical anomaly judgment method between devices or methods; and comparing the statistically obtained P value with a first threshold value based on the mean of the differences in the measurement data between the devices or methods to obtain an anomaly judgment result, wherein the P value is a probability of occurrence of the mean of the differences in the measurement data between the devices or methods within a period;

[0126] The third obtaining unit is used to obtain the control limit single value change coefficient based on the initial control limit and the preset period control limit when judging the precision control data using the control limit single value change abnormal judgment method, and compare the control limit single value change coefficient with the preset range to obtain the abnormal judgment result.

[0127] The fourth obtaining unit is used to obtain the control limit periodic fluctuation coefficient based on multiple continuous periodic control limits when judging the precision control data using the control limit periodic fluctuation coefficient abnormality judgment method, and compare the control limit periodic fluctuation coefficient with the second threshold to obtain an abnormality judgment result.

[0128] In an optional embodiment, the judgment rule between the single measurement value and the control chart includes:

[0129] Corresponding to the first control method, the single measurement value and the control chart correspond to a first judgment rule; corresponding to the second control method, the single measurement value and the control chart correspond to a second judgment rule.

[0130] In an optional embodiment, the execution module is specifically used to: when the abnormal judgment result is that the single measurement value of the first control method is abnormal, determine whether the single measurement value in the second control method is abnormal; if so, calibrate and maintain the accuracy of the detection equipment; when the abnormal judgment result is that the single measurement value of the second control method is abnormal, calibrate and maintain the accuracy of the detection equipment.

[0131] In an optional embodiment, the execution module is specifically used to: when the abnormal judgment result is that the P value exceeds a first threshold, or when the abnormal judgment result is that the control limit single value variation coefficient appears once greater than the maximum value of a preset range, or when the abnormal judgment result is that the control limit periodic fluctuation coefficient appears for the first time greater than a second threshold, determine whether the single measurement value in the first control method and the single measurement value in the second control method are abnormal; if the single measurement value in the first control method is abnormal, or the single measurement value in the first control method and the single measurement value in the second control method are not abnormal, update the detection content or detection range of the detection equipment, and the detection range of the detection method; if the single measurement value in the second control method is abnormal, calibrate and perform precision maintenance on the detection equipment, or adjust the process parameters of the detection method, or adjust the matching between the detection equipment and the detection method.

[0132] In an optional embodiment, the execution module 703 is specifically used to: adjust the control limit of the detection equipment when the abnormal judgment result is that the control limit single-value variation coefficient appears continuously less than the minimum value of the preset range; calibrate and maintain the accuracy of the detection equipment when the abnormal judgment result is that the control limit single-value variation coefficient appears continuously greater than the maximum value of the preset range; calibrate and maintain the accuracy of the detection equipment when the abnormal judgment result is that the control limit periodic fluctuation coefficient appears continuously greater than the second threshold.

[0133] Example 3

[0134] Based on the same inventive concept, an embodiment of the present invention provides a computer device, such as Figure 8 As shown, it includes a memory 804, a processor 802 and a computer program stored in the memory 804 and executable on the processor 802. When the processor 802 executes the program, the steps of the control method for precision control of laboratory testing equipment in the steel industry are implemented.

[0135] Among them, Figure 8 In the embodiment of the present invention, a bus architecture (represented by bus 800) is shown. Bus 800 may include any number of interconnected buses and bridges, and bus 800 links together various circuits including one or more processors represented by processor 802 and memory represented by memory 804. Bus 800 may also link together various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. Bus interface 806 provides an interface between bus 800 and receiver 801 and transmitter 803. Receiver 801 and transmitter 803 may be the same component, namely a transceiver, which provides a unit for communicating with various other devices over a transmission medium. Processor 802 is responsible for managing bus 800 and general processing, while memory 804 may be used to store data used by processor 802 when performing operations.

[0136] Example 4

[0137] Based on the same inventive concept, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the control method for precision control of the above-mentioned laboratory testing equipment.

[0138] The algorithm and display provided herein are not inherently related to any particular computer, virtual system or other device. Various general-purpose systems can also be used together with the teachings based on this. According to the above description, it is obvious that the structure required for constructing this type of system. In addition, the present invention is not directed to any specific programming language. It should be understood that various programming languages ​​can be utilized to realize the content of the present invention described herein, and the above description of specific languages ​​is for the purpose of disclosing the best mode of the present invention.

[0139] In the description provided herein, numerous specific details are described. However, it is understood that embodiments of the present invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques are not shown in detail so as not to obscure the understanding of this description.

[0140] Similarly, it should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as reflected in the claims below, inventive aspects lie in less than all the features of the individual embodiments disclosed above. Accordingly, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of the invention.

[0141] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and in addition may be divided into multiple submodules or subunits or subcomponents. All features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed herein may be combined in any combination, except that at least some of such features and / or processes or units are mutually exclusive. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature providing the same, equivalent or similar purpose.

[0142] Furthermore, those skilled in the art will appreciate that although some embodiments herein include certain features included in other embodiments but not other features, combinations of features from different embodiments are intended to be within the scope of the present invention and to form different embodiments. For example, in the claims below, any of the claimed embodiments may be used in any combination.

[0143] The various component embodiments of the present invention can be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It will be appreciated by those skilled in the art that a microprocessor or digital signal processor (DSP) can be used in practice to implement some or all of the functions of some or all of the components of a control device or computer equipment for the precision control of laboratory detection equipment according to an embodiment of the present invention. The present invention can also be implemented as a device or device program (e.g., a computer program and a computer program product) for performing a part or all of the methods described herein. Such a program implementing the present invention can be stored on a computer-readable medium, or can have the form of one or more signals. Such a signal can be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0144] It should be noted that the above embodiments illustrate rather than limit the invention, and that those skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between brackets should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising several different elements and by means of appropriately programmed computers. In a unit claim enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third etc. does not indicate any order. These words may be interpreted as names.

Claims

1. A control method for precision control of laboratory testing equipment, characterized in that: include: Obtaining precision control data for laboratory testing equipment, the precision control data being measurement deviation values ​​obtained according to a first control method, which is multiple repeated measurements of a measured sample, or multiple back-and-forth measurements of the same type of testing equipment; and the second control method, which is measuring the testing equipment using a standard substance or an internal reference sample; Adopting multiple abnormality judgment methods to judge the abnormality of the precision control data and obtain abnormality judgment results, the multiple abnormality judgment methods include: single measurement value abnormality judgment method, inter-device or inter-method statistical abnormality judgment method, control limit single value change abnormality judgment method, control limit periodic fluctuation coefficient abnormality judgment method; The adopting the multiple abnormality judgment methods to perform abnormality judgment on the precision control data to obtain abnormality judgment results includes: When the accuracy control data is judged to be abnormal by using a single measurement value abnormality judgment method, a single measurement value and a control chart are obtained based on the accuracy control data, and an abnormality judgment result is obtained based on a judgment rule between the single measurement value and the control chart; When judging the precision control data using a statistical anomaly judgment method between devices or methods, obtaining, based on the precision control data, a mean of the differences in the measurement data between devices or methods and a statistically obtained P value, and comparing the statistically obtained P value with a first threshold based on the mean of the differences in the measurement data between devices or methods to obtain an anomaly judgment result, where the P value is a probability of occurrence of the mean of the differences in the measurement data between devices or methods within a period; When judging the precision control data by adopting the control limit single value change abnormality judgment method, based on the initial control limit and the preset period control limit, the control limit single value change coefficient is obtained, and the control limit single value change coefficient is compared with the preset range to obtain the abnormality judgment result; When judging the precision control data by using the control limit periodic fluctuation coefficient abnormality judgment method, the control limit periodic fluctuation coefficient is obtained based on a plurality of continuous periodic control limits, and the control limit periodic fluctuation coefficient is compared with a second threshold value to obtain an abnormality judgment result; When the abnormality judgment result is abnormal, corresponding abnormality handling measures are executed, including: When the abnormality judgment result is that the single measurement value of the first control method is abnormal, judging whether the single measurement value in the second control method is abnormal; If so, calibrate and maintain the accuracy of the testing equipment; When the abnormality judgment result is that the single measurement value of the second control method is abnormal, calibrating and maintaining the accuracy of the detection equipment; When the abnormality judgment result is that the P value exceeds the first threshold, or When the abnormal judgment result is that the control limit single value variation coefficient is greater than the maximum value of the preset range for a single time, or When the abnormality judgment result is that the control limit periodic fluctuation coefficient is greater than the second threshold for the first time, Determining whether a single measurement value in the first control method and a single measurement value in the second control method are abnormal; If the single measurement value in the first control method is abnormal, or if both the single measurement value in the first control method and the single measurement value in the second control method are normal, updating the detection content or detection range of the detection device and the detection range of the detection method; If a single measurement value in the second control method is abnormal, the detection equipment is calibrated and the accuracy is maintained, or the process parameters of the detection method are adjusted, or the matching between the detection equipment and the detection method is adjusted; When the abnormal judgment result is that the control limit single value variation coefficient appears to be continuously less than the minimum value of the preset range, adjusting the control limit of the detection equipment; When the abnormal judgment result is that the control limit single value variation coefficient appears to be continuously greater than the maximum value of the preset range, the detection equipment is calibrated and the accuracy maintenance is performed; When the abnormality judgment result is that the control limit periodic fluctuation coefficient appears to be continuously greater than the second threshold, the detection equipment is calibrated and the accuracy maintenance is performed.

2. A control device for precision control of laboratory testing equipment, characterized in that: include: An acquisition module is configured to acquire precision control data of laboratory testing equipment, wherein the precision control data is a measurement deviation value obtained according to a first control method and a measurement deviation value obtained according to a second control method; the first control method is to perform multiple repeated measurements of a measured sample or multiple back-and-forth measurements of the same type of testing equipment; the second control method is to measure the testing equipment using a standard substance or an internal reference sample; An acquisition module is used to perform abnormality judgment on the precision control data using multiple abnormality judgment methods to obtain abnormality judgment results. The multiple abnormality judgment methods include: a single measurement value abnormality judgment method, an inter-device or inter-method statistical abnormality judgment method, a control limit single value change abnormality judgment method, and a control limit periodic fluctuation coefficient abnormality judgment method; The adopting the multiple abnormality judgment methods to perform abnormality judgment on the precision control data to obtain abnormality judgment results includes: When the accuracy control data is judged to be abnormal by using a single measurement value abnormality judgment method, a single measurement value and a control chart are obtained based on the accuracy control data, and an abnormality judgment result is obtained based on a judgment rule between the single measurement value and the control chart; When judging the precision control data using a statistical anomaly judgment method between devices or methods, obtaining, based on the precision control data, a mean of the differences in the measurement data between devices or methods and a statistically obtained P value, and comparing the statistically obtained P value with a first threshold based on the mean of the differences in the measurement data between devices or methods to obtain an anomaly judgment result, where the P value is a probability of occurrence of the mean of the differences in the measurement data between devices or methods within a period; When judging the precision control data by adopting the control limit single value change abnormality judgment method, based on the initial control limit and the preset period control limit, the control limit single value change coefficient is obtained, and the control limit single value change coefficient is compared with the preset range to obtain the abnormality judgment result; When judging the precision control data by using the control limit periodic fluctuation coefficient abnormality judgment method, the control limit periodic fluctuation coefficient is obtained based on a plurality of continuous periodic control limits, and the control limit periodic fluctuation coefficient is compared with a second threshold value to obtain an abnormality judgment result; An execution module is used to execute corresponding exception handling measures when the exception judgment result is abnormal, including: When the abnormality judgment result is that the single measurement value of the first control method is abnormal, judging whether the single measurement value in the second control method is abnormal; If so, calibrate and maintain the accuracy of the testing equipment; When the abnormality judgment result is that the single measurement value of the second control method is abnormal, calibrating and maintaining the accuracy of the detection equipment; When the abnormality judgment result is that the P value exceeds the first threshold, or When the abnormal judgment result is that the control limit single value variation coefficient is greater than the maximum value of the preset range for a single time, or When the abnormality judgment result is that the control limit periodic fluctuation coefficient is greater than the second threshold for the first time, Determining whether a single measurement value in the first control method and a single measurement value in the second control method are abnormal; If the single measurement value in the first control method is abnormal, or if both the single measurement value in the first control method and the single measurement value in the second control method are normal, updating the detection content or detection range of the detection device and the detection range of the detection method; If a single measurement value in the second control method is abnormal, the detection equipment is calibrated and the accuracy is maintained, or the process parameters of the detection method are adjusted, or the matching between the detection equipment and the detection method is adjusted; When the abnormal judgment result is that the control limit single value variation coefficient appears to be continuously less than the minimum value of the preset range, adjusting the control limit of the detection equipment; When the abnormal judgment result is that the control limit single value variation coefficient appears to be continuously greater than the maximum value of the preset range, the detection equipment is calibrated and the accuracy maintenance is performed; When the abnormality judgment result is that the control limit periodic fluctuation coefficient appears to be continuously greater than the second threshold, the detection equipment is calibrated and the accuracy maintenance is performed.

3. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method according to claim 1 is implemented.

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