CN116147833A - Pressure sensor performance analysis method and system based on data mining - Google Patents
Pressure sensor performance analysis method and system based on data mining Download PDFInfo
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- CN116147833A CN116147833A CN202310416022.5A CN202310416022A CN116147833A CN 116147833 A CN116147833 A CN 116147833A CN 202310416022 A CN202310416022 A CN 202310416022A CN 116147833 A CN116147833 A CN 116147833A
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Abstract
The invention discloses a pressure sensor performance analysis method and a system based on data mining, which relate to the technical field of computer application, and the method comprises the following steps: collecting pressure information, temperature information and vibration information; analyzing to obtain a preset pressure threshold value, a preset temperature threshold value and a preset vibration threshold value; generating a first test protocol; obtaining a first performance detection result, and obtaining a first sensitivity and a first accuracy; obtaining a first performance index; obtaining a second test scheme to obtain a second performance index; and carrying out performance analysis on the preset pressure sensor by combining the first performance index and the second performance index. The technical problems of low performance detection analysis efficiency and inaccurate analysis result existing in the prior art when performance analysis is performed on the pressure sensor are solved. By performing intelligent performance analysis on the pressure sensor, the technical effects of improving the performance analysis efficiency and the analysis result precision of the pressure sensor and providing reliable and effective performance data reference for medical staff are achieved.
Description
Technical Field
The invention relates to the technical field of computer application, in particular to a pressure sensor performance analysis method and system based on data mining.
Background
The medical pressure sensor is an important device for collecting relevant clinical data of a patient in medical diagnosis and treatment instruments, and the performance indexes of the medical pressure sensor directly influence the diagnosis and treatment effects of the relevant medical instruments, and the performance indexes of different medical instruments are different from each other, so that the understanding and mastering of the performance indexes of the medical pressure sensor and the testing of the performance indexes are indispensable to teaching and scientific research staff engaged in related professions. However, the existing test data of the pressure sensor are usually recorded manually, and then calculation or graph drawing is performed, so that the performance analysis of the pressure sensor is realized, the problem of low performance analysis efficiency exists, meanwhile, calculation errors exist in manual calculation, and the accuracy of the performance test analysis is reduced. Therefore, the research utilizes computer science and technology to excavate and analyze the performance test data of the pressure sensor, and has important significance for improving the performance analysis efficiency and accuracy of the pressure sensor and providing references for teaching and scientific researchers engaged in related professions.
However, in the prior art, when performance analysis is performed on the pressure sensor, the performance detection and analysis efficiency is low, the analysis result is inaccurate, and a reliable and effective performance basis cannot be provided for medical staff.
Disclosure of Invention
The invention aims to provide a pressure sensor performance analysis method and system based on data mining, which are used for solving the technical problems that in the prior art, when performance analysis is carried out on a pressure sensor, the performance detection analysis efficiency is low, the analysis result is inaccurate, and a reliable and effective performance foundation cannot be provided for medical staff.
In view of the above problems, the invention provides a pressure sensor performance analysis method and system based on data mining.
In a first aspect, the present invention provides a method for analyzing performance of a pressure sensor based on data mining, the method being implemented by a system for analyzing performance of a pressure sensor based on data mining, wherein the method includes: acquiring preset application environment information of a preset pressure sensor, wherein the preset application environment information comprises pressure information, temperature information and vibration information; sequentially analyzing and obtaining a preset pressure threshold value of the pressure information, a preset temperature threshold value of the temperature information and a preset vibration threshold value of the vibration information; generating a first test scheme based on the preset pressure threshold, the preset temperature threshold and the preset vibration threshold; performing performance detection on the preset pressure sensor according to the first test scheme to obtain a first performance detection result, and obtaining first sensitivity and first accuracy according to the first performance detection result; analyzing the first sensitivity and the first accuracy and calculating to obtain a first performance index; analyzing the first test scheme to obtain a second test scheme, and performing performance detection on the preset pressure sensor to obtain a second performance index; and carrying out performance analysis on the preset pressure sensor by combining the first performance index and the second performance index.
In a second aspect, the present invention further provides a data mining-based pressure sensor performance analysis system for performing a data mining-based pressure sensor performance analysis method according to the first aspect, wherein the system comprises: the intelligent acquisition module is used for acquiring preset application environment information of a preset pressure sensor, wherein the preset application environment information comprises pressure information, temperature information and vibration information; the intelligent analysis module is used for sequentially analyzing and obtaining a preset pressure threshold value of the pressure information, a preset temperature threshold value of the temperature information and a preset vibration threshold value of the vibration information; the intelligent generation module is used for generating a first test scheme based on the preset pressure threshold value, the preset temperature threshold value and the preset vibration threshold value; the first detection obtaining module is used for carrying out performance detection on the preset pressure sensor according to the first test scheme to obtain a first performance detection result, and obtaining first sensitivity and first accuracy according to the first performance detection result; a calculation obtaining module for analyzing the first sensitivity and the first accuracy and calculating a first performance index; the second detection acquisition module is used for analyzing the first test scheme to obtain a second test scheme and performing performance detection on the preset pressure sensor to obtain a second performance index; and the performance analysis module is used for carrying out performance analysis on the preset pressure sensor by combining the first performance index and the second performance index.
In a third aspect, the present invention also provides an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of the first aspects above.
One or more technical schemes provided by the invention have at least the following technical effects or advantages:
acquiring preset application environment information of a preset pressure sensor, wherein the preset application environment information comprises pressure information, temperature information and vibration information; sequentially analyzing and obtaining a preset pressure threshold value of the pressure information, a preset temperature threshold value of the temperature information and a preset vibration threshold value of the vibration information; generating a first test scheme based on the preset pressure threshold, the preset temperature threshold and the preset vibration threshold; performing performance detection on the preset pressure sensor according to the first test scheme to obtain a first performance detection result, and obtaining first sensitivity and first accuracy according to the first performance detection result; analyzing the first sensitivity and the first accuracy and calculating to obtain a first performance index; analyzing the first test scheme to obtain a second test scheme, and performing performance detection on the preset pressure sensor to obtain a second performance index; and carrying out performance analysis on the preset pressure sensor by combining the first performance index and the second performance index. By performing intelligent performance analysis on the pressure sensor, the technical effects of improving the performance analysis efficiency and the analysis result precision of the pressure sensor and providing reliable and effective performance data reference for medical staff are achieved.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent. It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described below, it being obvious that the drawings in the description below are only exemplary and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for analyzing the performance of a pressure sensor based on data mining according to the present invention;
FIG. 2 is a schematic flow chart of the first test scheme obtained by combining the pressure sensor performance analysis method based on data mining;
FIG. 3 is a schematic flow chart of calculating the first accuracy according to the first input pressure value and the first output pressure value in the data mining-based pressure sensor performance analysis method according to the present invention;
FIG. 4 is a schematic flow chart of a second performance detection result obtained in the data mining-based pressure sensor performance analysis method according to the present invention;
FIG. 5 is a schematic flow chart of the second performance index obtained in the data mining-based pressure sensor performance analysis method according to the present invention;
FIG. 6 is a schematic diagram of a system for analyzing performance of a pressure sensor based on data mining according to the present invention.
Reference numerals illustrate:
the system comprises an intelligent acquisition module 11, an intelligent analysis module 12, an intelligent generation module 13, a first detection acquisition module 14, a calculation acquisition module 15, a second detection acquisition module 16 and a performance analysis module 17.
Detailed Description
The invention provides a pressure sensor performance analysis method and a system based on data mining, which solve the technical problems that in the prior art, when performance analysis is performed on a pressure sensor, the performance detection analysis efficiency is low, the analysis result is inaccurate, and a reliable and effective performance basis cannot be provided for medical staff. By performing intelligent performance analysis on the pressure sensor, the technical effects of improving the performance analysis efficiency and the analysis result precision of the pressure sensor and providing reliable and effective performance data reference for medical staff are achieved.
In the following, the technical solutions of the present invention will be clearly and completely described with reference to the accompanying drawings, and it should be understood that the described embodiments are only some embodiments of the present invention, but not all embodiments of the present invention, and that the present invention is not limited by the exemplary embodiments described herein. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention. It should be further noted that, for convenience of description, only some, but not all of the drawings related to the present invention are shown.
Example 1.
Referring to fig. 1, the invention provides a method for analyzing performance of a pressure sensor based on data mining, wherein the method is applied to a system for analyzing performance of the pressure sensor based on data mining, and specifically comprises the following steps:
step S100: acquiring preset application environment information of a preset pressure sensor, wherein the preset application environment information comprises pressure information, temperature information and vibration information;
specifically, the pressure sensor performance analysis method based on data mining is applied to a pressure sensor performance analysis system based on data mining, and intelligent performance analysis can be performed on a preset pressure sensor through a computer technology, so that the pressure sensor performance analysis efficiency and analysis result accuracy are improved. The preset pressure sensor is any medical pressure sensor for detecting and analyzing the sensor performance index through the pressure sensor performance analysis system. Before the automatic performance detection analysis is performed on the preset pressure sensor, information acquisition is performed on environmental index features in the actual application environment of the preset pressure sensor, such as the actual pressure, the application environment temperature and the like in the application environment of the preset pressure sensor, so that the preset application environment information is obtained. The preset application environment information comprises pressure information, temperature information and vibration information.
Step S200: sequentially analyzing and obtaining a preset pressure threshold value of the pressure information, a preset temperature threshold value of the temperature information and a preset vibration threshold value of the vibration information;
further, step S200 of the present invention includes:
step S210: acquiring a preset service period of the preset pressure sensor;
step S220: based on the preset service period, sequentially extracting the pressure information, the temperature information and the vibration information to respectively obtain pressure data, temperature data and vibration data;
step S230: analyzing the pressure data to determine the preset pressure threshold, analyzing the temperature data to determine the preset temperature threshold, and analyzing the vibration data to determine the preset vibration threshold.
Further, step S230 of the present invention includes:
step S231: the pressure data comprises X pressure values, wherein X is an integer greater than or equal to 1;
step S232: comparing the X pressure values with a maximum pressure value and a minimum pressure value; and
step S233: the preset pressure threshold is determined based on the maximum pressure value and the minimum pressure value.
Specifically, after the preset application environment information of the preset pressure sensor is acquired, a preset pressure threshold value of the pressure information, a preset temperature threshold value of the temperature information and a preset vibration threshold value of the vibration information are sequentially analyzed and obtained.
Specifically, the application time of the preset pressure sensor in the actual application process is firstly analyzed, so that the preset service period of the preset pressure sensor is determined. Exemplary pressure sensors are used to measure blood pressure of a medical patient, etc., in the early morning of each day, and the time of the early morning blood pressure measurement is analyzed and the corresponding time period is used as a preset period of use, such as 7-9 a.m. each day. And then, based on the preset service period, carrying out environmental index parameter screening on the preset application environment information, namely, only reserving the application environment of the preset pressure sensor, such as the environmental index parameter information of each ward of a certain hospital in the preset application period, namely, sequentially carrying out information extraction on the pressure information, the temperature information and the vibration information to respectively obtain pressure data, temperature data and vibration data. Exemplary are pressure, temperature and vibration data for each ward of a hospital at 7-9 points each day early. And then, sequentially analyzing the pressure data and correspondingly determining the preset pressure threshold value, analyzing the temperature data to determine the preset temperature threshold value, and analyzing the vibration data to determine the preset vibration threshold value. Specifically, the pressure data includes X pressure values, where X is an integer greater than or equal to 1, and further the X pressure values are compared with a maximum pressure value and a minimum pressure value, and the maximum pressure value and the minimum pressure value are used as an upper limit and a lower limit of the preset pressure threshold. In addition, the temperature data comprises Y temperature values, Y is an integer greater than or equal to 1, and then the Y temperature values are compared to obtain a maximum temperature value and a minimum temperature value, and the maximum temperature value and the minimum temperature value are used as the upper limit and the lower limit of the preset temperature threshold. The vibration data comprises Z vibration values, Z is an integer greater than or equal to 1, the Z vibration values are compared to obtain a maximum vibration value and a minimum vibration value, and the maximum vibration value and the minimum vibration value are used as the upper limit and the lower limit of the preset vibration threshold.
Through carrying out information acquisition analysis to the actual application environment condition of preset pressure sensor, preset pressure threshold value, preset temperature threshold value and preset vibration threshold value have been obtained, the purpose of providing test condition setting basis and basis for the performance detection test of the follow-up design preset pressure sensor has been realized, the scientificity and the rationality of improvement test scheme have been reached, and then the technological effect of the validity of testing result is improved.
Step S300: generating a first test scheme based on the preset pressure threshold, the preset temperature threshold and the preset vibration threshold; and
further, as shown in fig. 2, step S300 of the present invention includes:
step S310: randomly extracting a first pressure value in the preset pressure threshold, a first temperature value in the preset temperature threshold and a first vibration value in the preset vibration threshold;
step S320: taking the first pressure value, the first temperature value and the first vibration value as a first test constraint;
step S330: and generating a plurality of tests based on the first test constraint and the preset use period, and combining to obtain the first test scheme.
Specifically, based on the preset pressure threshold, the preset temperature threshold, and the preset vibration threshold determined by the foregoing analysis, the system automatically generates the first test protocol. Wherein the first test protocol includes a plurality of tests. Specifically, first, randomly extracting any one of the preset pressure thresholds, and recording any one of the first pressure value and the preset temperature threshold as the first temperature value, and recording any one of the preset vibration thresholds as the first vibration value. And then taking the first pressure value, the first temperature value and the first vibration value as a first test constraint, simultaneously combining the preset use period to generate a plurality of tests for performing performance detection analysis on the preset pressure sensor, and combining the tests to obtain the first test scheme. That is, the performance of the preset pressure sensor is detected in a specific pressure range, a specific temperature range and a specific vibration range in a specific time, so that the test data of the preset pressure sensor can be obtained, and further the analysis and the evaluation of the performance are more effective and close to the facts.
Step S400: performing performance detection on the preset pressure sensor according to the first test scheme to obtain a first performance detection result, and obtaining first sensitivity and first accuracy according to the first performance detection result;
further, as shown in fig. 3, step S400 of the present invention includes:
step S410: the first performance detection result comprises a plurality of groups of detection data;
step S420: extracting a first detection data set in the plurality of groups of detection data, wherein the first detection data set comprises a plurality of pairs of input and output pressure values with time identifiers; and
step S430: obtaining a first pressure value pair according to the plurality of pairs of input and output pressure values with time marks, wherein the first pressure value pair comprises a first input pressure value and a first output pressure value;
step S440: the first input pressure value is provided with a first time mark, and the first output pressure value is provided with a second time mark;
step S450: calculating to obtain the first sensitivity according to the first time mark and the second time mark;
step S460: and calculating the first accuracy according to the first input pressure value and the first output pressure value.
Step S500: analyzing the first sensitivity and the first accuracy and calculating to obtain a first performance index;
specifically, performance detection is performed on the preset pressure sensor according to the first test scheme, a plurality of detection data of the plurality of tests are correspondingly obtained, namely, after the first performance detection result is obtained, the first sensitivity and the first accuracy are obtained through analysis of the first performance detection result. Specifically, first, the first performance test result includes test data of a plurality of tests of the first test protocol, that is, includes a plurality of sets of test data. And randomly extracting any one group of detection data in the plurality of groups of detection data, namely, recording the detection data as the first detection data group. Wherein the first detection data set comprises a plurality of pairs of input-output pressure values with time identifiers. And then analyzing the plurality of pairs of input and output pressure values with the time marks, and correspondingly obtaining a first pressure value pair, wherein the first pressure value pair comprises a first input pressure value and a first output pressure value. In addition, the first input pressure value is provided with a first time identifier, and the first output pressure value is provided with a second time identifier. The first input pressure value refers to the pressure input to the preset pressure sensor, and the first time mark refers to the time when the pressure input to the preset pressure sensor is performed. The first output pressure value refers to the pressure output by the preset pressure sensor, and the second time mark refers to the time when the corresponding first output pressure value is output by the preset pressure sensor.
Further, the first sensitivity of the preset pressure sensor is obtained by calculating the time difference between the first time mark and the second time mark. And calculating the pressure value difference between the first input pressure value and the first output pressure value, namely calculating the first accuracy of the preset pressure sensor. And finally analyzing and weighting the first sensitivity and the first accuracy to obtain the first performance index correspondingly. Exemplary weighting calculation methods include entropy weight method and coefficient of variation method. The performance detection is carried out on the preset pressure sensor based on the first test scheme, and the first performance detection result is obtained, so that the aim of carrying out intelligent evaluation on the application effect of the preset pressure sensor in the actual application process is fulfilled, the intelligent degree of the performance evaluation of the pressure sensor is improved, and the technical effect of improving the performance analysis efficiency is further achieved.
Step S600: analyzing the first test scheme to obtain a second test scheme, and performing performance detection on the preset pressure sensor to obtain a second performance index;
further, as shown in fig. 4, step S600 of the present invention includes:
step S610: performing traversal screening on the plurality of tests based on the first temperature value to obtain a constant-temperature test group;
step S620: acquiring a preset constant temperature test period, wherein the preset constant temperature test period is larger than the preset use period;
step S630: adjusting the constant temperature test group according to the preset constant temperature test period to obtain a constant temperature fatigue test group;
step S640: and carrying out constant-temperature fatigue zero drift detection on the preset pressure sensor according to the constant-temperature fatigue test group to obtain a second performance detection result.
Further, as shown in fig. 5, the present invention further includes the following steps:
step S651: obtaining a preset impact vibration threshold value based on the preset vibration threshold value;
step S652: obtaining an impact vibration test group according to the preset impact vibration threshold value; and
step S653: performing impact vibration zero drift detection on the preset pressure sensor according to the impact vibration test group to obtain a third performance detection result;
step S654: and weighting and calculating the second performance detection result and the third performance detection result to obtain the second performance index.
Specifically, the first test scheme is analyzed to obtain a second test scheme, and then performance detection is performed on the preset pressure sensor through the second test scheme, so that a second performance index is correspondingly obtained. When the first test scheme is analyzed to obtain a second test scheme, the plurality of tests are firstly subjected to traversal screening based on the first temperature value to obtain a constant-temperature test group. An exemplary test protocol is one in which the test environment temperature is 20 degrees celsius and the pressure and vibration values are not constant. And then comprehensively analyzing and determining the preset constant temperature test period by professional performance testers according to the actual application scene requirements and the like. Exemplary are 3 hours, 4 hours, etc. Wherein the preset constant temperature test period is greater than the preset use period. And then, adjusting the constant temperature test group according to the preset constant temperature test period to obtain a constant temperature fatigue test group. The constant temperature fatigue test set is used for carrying out constant temperature fatigue zero drift detection on the preset pressure sensor. The zero drift concept, namely zero drift, refers to the phenomenon that when an input signal of an amplifying circuit is zero (i.e. no alternating current is input), a static working point changes due to the influence of factors such as temperature change, instability of a power supply voltage and the like, and the static working point is amplified and transmitted step by step, so that the voltage of an output end of the circuit deviates from an original fixed value and floats up and down. Under the serious drift condition, the effective signal is often submerged, so that the amplifying circuit cannot work normally. And finally, obtaining a constant-temperature fatigue zero drift detection result of the preset pressure sensor, namely the second performance detection result. For example, in a constant temperature fatigue experiment, the zero output voltage of the preset pressure sensor after constant temperature of 20 ℃ is tested for 4 hours, so that the zero drift of the preset pressure sensor after constant temperature fatigue is obtained.
Further, a preset impact vibration threshold value is obtained based on the preset vibration threshold value, and an impact vibration test set is obtained according to the preset impact vibration threshold value. And then performing impact vibration zero drift detection on the preset pressure sensor according to the impact vibration test group, and correspondingly obtaining a third performance detection result. For example, in a vibration environment test, the null shift of the sensor after the impact vibration test is 0.1098% and the null shift of the sensor after the random vibration test is 0.0605%. And finally, weighting and calculating the second performance detection result and the third performance detection result to correspondingly obtain the second performance index. The reliability index requirement of the pressure sensor can be met only if the zero drift test result is less than 1% in various special environments and no crack appears in the appearance of the corresponding pressure sensor. By designing the second test scheme on the basis of the first test scheme, the aim of intelligent analysis of the performance of the preset pressure sensor in a non-practical application environment is fulfilled, and the obtained test detection result of the pressure sensor is corrected, so that the technical effect of comprehensively analyzing the performance of the pressure sensor is achieved.
Step S700: and carrying out performance analysis on the preset pressure sensor by combining the first performance index and the second performance index.
Further, step S700 of the present invention includes:
step S710: acquiring a history application environment information record;
step S720: performing stability analysis on the preset application environment information according to the historical application environment information record to obtain a stability analysis result;
step S730: according to the stability analysis result, respectively determining a first coefficient of the first performance index and a second coefficient of the second performance index;
step S740: and performing performance analysis on the preset pressure sensor by combining the first coefficient with the first performance index and combining the second coefficient with the second performance index.
Specifically, after constant-temperature fatigue zero drift detection and impact vibration zero drift detection are performed on the preset pressure sensor, the corresponding first performance index and second performance index are obtained respectively, and finally the first performance index and the second performance index are combined, namely comprehensive analysis of the performance of the preset pressure sensor is realized by comprehensive consideration. Specifically, a historical application environment information record is firstly obtained, and stability analysis is carried out on the preset application environment information according to the historical application environment information record to obtain a stability analysis result. The exemplary method is that when the stability of the information of the preset application environment is poor, such as an abnormal environment like sudden temperature reduction, the adaptability of the pressure sensor to the environment and the performance under the change of the special abnormal environment are important, and the corresponding weight coefficient of the second performance index is larger, and conversely, smaller. Then, according to the stability analysis result, a first coefficient of the first performance index and a second coefficient of the second performance index are respectively determined. And finally, carrying out objective comprehensive weighted calculation on the performance analysis of the preset pressure sensor based on the first coefficient, the first performance index, the second coefficient and the second performance index, so as to realize objective concrete analysis and evaluation targets on the performance of the preset pressure sensor.
In summary, the pressure sensor performance analysis method based on data mining provided by the invention has the following technical effects:
acquiring preset application environment information of a preset pressure sensor, wherein the preset application environment information comprises pressure information, temperature information and vibration information; sequentially analyzing and obtaining a preset pressure threshold value of the pressure information, a preset temperature threshold value of the temperature information and a preset vibration threshold value of the vibration information; generating a first test scheme based on the preset pressure threshold, the preset temperature threshold and the preset vibration threshold; performing performance detection on the preset pressure sensor according to the first test scheme to obtain a first performance detection result, and obtaining first sensitivity and first accuracy according to the first performance detection result; analyzing the first sensitivity and the first accuracy and calculating to obtain a first performance index; analyzing the first test scheme to obtain a second test scheme, and performing performance detection on the preset pressure sensor to obtain a second performance index; and carrying out performance analysis on the preset pressure sensor by combining the first performance index and the second performance index. By performing intelligent performance analysis on the pressure sensor, the technical effects of improving the performance analysis efficiency and the analysis result precision of the pressure sensor and providing reliable and effective performance data reference for medical staff are achieved.
Example 2.
Based on the same inventive concept as the pressure sensor performance analysis method based on data mining in the foregoing embodiment, the present invention further provides a pressure sensor performance analysis system based on data mining, referring to fig. 6, the system includes:
the intelligent acquisition module 11 is used for acquiring preset application environment information of a preset pressure sensor, wherein the preset application environment information comprises pressure information, temperature information and vibration information;
the intelligent analysis module 12 is used for sequentially analyzing and obtaining a preset pressure threshold value of the pressure information, a preset temperature threshold value of the temperature information and a preset vibration threshold value of the vibration information;
an intelligent generation module 13 for generating a first test scenario based on the preset pressure threshold, the preset temperature threshold, and the preset vibration threshold; and
a first detection obtaining module 14, configured to perform performance detection on the preset pressure sensor according to the first test scheme, obtain a first performance detection result, and obtain a first sensitivity and a first accuracy according to the first performance detection result;
a calculation obtaining module 15 for analyzing the first sensitivity and the first accuracy and calculating a first performance index;
a second detection obtaining module 16, configured to analyze the first test scheme to obtain a second test scheme, and perform performance detection on the preset pressure sensor to obtain a second performance index;
a performance analysis module 17 for performing a performance analysis on the preset pressure sensor in combination with the first performance index and the second performance index.
Further, the intelligent analysis module 12 in the system is further configured to:
acquiring a preset service period of the preset pressure sensor;
based on the preset service period, sequentially extracting the pressure information, the temperature information and the vibration information to respectively obtain pressure data, temperature data and vibration data;
analyzing the pressure data to determine the preset pressure threshold, analyzing the temperature data to determine the preset temperature threshold, and analyzing the vibration data to determine the preset vibration threshold.
Further, the intelligent analysis module 12 in the system is further configured to:
the pressure data comprises X pressure values, wherein X is an integer greater than or equal to 1;
comparing the X pressure values with a maximum pressure value and a minimum pressure value; and
the preset pressure threshold is determined based on the maximum pressure value and the minimum pressure value.
Further, the intelligent generating module 13 in the system is further configured to:
randomly extracting a first pressure value in the preset pressure threshold, a first temperature value in the preset temperature threshold and a first vibration value in the preset vibration threshold;
taking the first pressure value, the first temperature value and the first vibration value as a first test constraint;
and generating a plurality of tests based on the first test constraint and the preset use period, and combining to obtain the first test scheme.
Further, the first detection obtaining module 14 in the system is further configured to:
the first performance detection result comprises a plurality of groups of detection data;
extracting a first detection data set in the plurality of groups of detection data, wherein the first detection data set comprises a plurality of pairs of input and output pressure values with time identifiers; and
obtaining a first pressure value pair according to the plurality of pairs of input and output pressure values with time marks, wherein the first pressure value pair comprises a first input pressure value and a first output pressure value;
the first input pressure value is provided with a first time mark, and the first output pressure value is provided with a second time mark;
calculating to obtain the first sensitivity according to the first time mark and the second time mark;
and calculating the first accuracy according to the first input pressure value and the first output pressure value.
Further, the second detection obtaining module 16 in the system is further configured to:
performing traversal screening on the plurality of tests based on the first temperature value to obtain a constant-temperature test group;
acquiring a preset constant temperature test period, wherein the preset constant temperature test period is larger than the preset use period;
adjusting the constant temperature test group according to the preset constant temperature test period to obtain a constant temperature fatigue test group;
and carrying out constant-temperature fatigue zero drift detection on the preset pressure sensor according to the constant-temperature fatigue test group to obtain a second performance detection result.
Further, the second detection obtaining module 16 in the system is further configured to:
obtaining a preset impact vibration threshold value based on the preset vibration threshold value;
obtaining an impact vibration test group according to the preset impact vibration threshold value; and
performing impact vibration zero drift detection on the preset pressure sensor according to the impact vibration test group to obtain a third performance detection result;
and weighting and calculating the second performance detection result and the third performance detection result to obtain the second performance index.
Further, the performance analysis module 17 in the system is further configured to:
acquiring a history application environment information record;
performing stability analysis on the preset application environment information according to the historical application environment information record to obtain a stability analysis result;
according to the stability analysis result, respectively determining a first coefficient of the first performance index and a second coefficient of the second performance index;
and performing performance analysis on the preset pressure sensor by combining the first coefficient with the first performance index and combining the second coefficient with the second performance index.
Various embodiments in the present disclosure are described in a progressive manner, and each embodiment focuses on the difference from other embodiments, so that a data mining-based pressure sensor performance analysis method and a specific example in the foregoing embodiment of fig. 1 are equally applicable to a data mining-based pressure sensor performance analysis system in the present embodiment, and by the foregoing detailed description of a data mining-based pressure sensor performance analysis method, those skilled in the art will clearly know that a data mining-based pressure sensor performance analysis system in the present embodiment is not described in detail herein for brevity of the disclosure. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The present invention also provides an electronic device including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of embodiments.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the present invention and the equivalent techniques thereof, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A method for analyzing performance of a pressure sensor based on data mining, comprising:
acquiring preset application environment information of a preset pressure sensor, wherein the preset application environment information comprises pressure information, temperature information and vibration information;
sequentially analyzing and obtaining a preset pressure threshold value of the pressure information, a preset temperature threshold value of the temperature information and a preset vibration threshold value of the vibration information;
generating a first test scheme based on the preset pressure threshold, the preset temperature threshold and the preset vibration threshold; and
performing performance detection on the preset pressure sensor according to the first test scheme to obtain a first performance detection result, and obtaining first sensitivity and first accuracy according to the first performance detection result;
analyzing the first sensitivity and the first accuracy and calculating to obtain a first performance index;
analyzing the first test scheme to obtain a second test scheme, and performing performance detection on the preset pressure sensor to obtain a second performance index;
and carrying out performance analysis on the preset pressure sensor by combining the first performance index and the second performance index.
2. The method according to claim 1, wherein the sequentially analyzing to obtain the preset pressure threshold of the pressure information, the preset temperature threshold of the temperature information, the preset vibration threshold of the vibration information, comprises:
acquiring a preset service period of the preset pressure sensor;
based on the preset service period, sequentially extracting the pressure information, the temperature information and the vibration information to respectively obtain pressure data, temperature data and vibration data;
analyzing the pressure data to determine the preset pressure threshold, analyzing the temperature data to determine the preset temperature threshold, and analyzing the vibration data to determine the preset vibration threshold.
3. The method of claim 2, wherein said analyzing said pressure data to determine said preset pressure threshold comprises:
the pressure data comprises X pressure values, wherein X is an integer greater than or equal to 1;
comparing the X pressure values with a maximum pressure value and a minimum pressure value; and
the preset pressure threshold is determined based on the maximum pressure value and the minimum pressure value.
4. The method of claim 3, wherein the generating a first test protocol based on the preset pressure threshold, the preset temperature threshold, and the preset vibration threshold comprises:
randomly extracting a first pressure value in the preset pressure threshold, a first temperature value in the preset temperature threshold and a first vibration value in the preset vibration threshold;
taking the first pressure value, the first temperature value and the first vibration value as a first test constraint;
and generating a plurality of tests based on the first test constraint and the preset use period, and combining to obtain the first test scheme.
5. The method of claim 1, wherein the obtaining a first sensitivity and a first accuracy from the first performance test result comprises:
the first performance detection result comprises a plurality of groups of detection data;
extracting a first detection data set in the plurality of groups of detection data, wherein the first detection data set comprises a plurality of pairs of input and output pressure values with time identifiers; and
obtaining a first pressure value pair according to the plurality of pairs of input and output pressure values with time marks, wherein the first pressure value pair comprises a first input pressure value and a first output pressure value;
the first input pressure value is provided with a first time mark, and the first output pressure value is provided with a second time mark;
calculating to obtain the first sensitivity according to the first time mark and the second time mark;
and calculating the first accuracy according to the first input pressure value and the first output pressure value.
6. The method according to claim 4, wherein before said analyzing said first test scheme to obtain a second test scheme and performing performance detection on said preset pressure sensor to obtain a second performance index, comprising:
performing traversal screening on the plurality of tests based on the first temperature value to obtain a constant-temperature test group;
acquiring a preset constant temperature test period, wherein the preset constant temperature test period is larger than the preset use period;
adjusting the constant temperature test group according to the preset constant temperature test period to obtain a constant temperature fatigue test group;
and carrying out constant-temperature fatigue zero drift detection on the preset pressure sensor according to the constant-temperature fatigue test group to obtain a second performance detection result.
7. The method of claim 6, wherein analyzing the first test protocol to obtain a second test protocol and performing performance detection on the preset pressure sensor to obtain a second performance index comprises:
obtaining a preset impact vibration threshold value based on the preset vibration threshold value;
obtaining an impact vibration test group according to the preset impact vibration threshold value; and
performing impact vibration zero drift detection on the preset pressure sensor according to the impact vibration test group to obtain a third performance detection result;
and weighting and calculating the second performance detection result and the third performance detection result to obtain the second performance index.
8. The method of claim 1, wherein said performing a performance analysis of said predetermined pressure sensor in combination with said first performance index and said second performance index comprises:
acquiring a history application environment information record;
performing stability analysis on the preset application environment information according to the historical application environment information record to obtain a stability analysis result;
according to the stability analysis result, respectively determining a first coefficient of the first performance index and a second coefficient of the second performance index;
and performing performance analysis on the preset pressure sensor by combining the first coefficient with the first performance index and combining the second coefficient with the second performance index.
9. A data mining-based pressure sensor performance analysis system, the system comprising:
the intelligent acquisition module is used for acquiring preset application environment information of a preset pressure sensor, wherein the preset application environment information comprises pressure information, temperature information and vibration information;
the intelligent analysis module is used for sequentially analyzing and obtaining a preset pressure threshold value of the pressure information, a preset temperature threshold value of the temperature information and a preset vibration threshold value of the vibration information;
the intelligent generation module is used for generating a first test scheme based on the preset pressure threshold value, the preset temperature threshold value and the preset vibration threshold value; and
the first detection obtaining module is used for carrying out performance detection on the preset pressure sensor according to the first test scheme to obtain a first performance detection result, and obtaining first sensitivity and first accuracy according to the first performance detection result;
a calculation obtaining module for analyzing the first sensitivity and the first accuracy and calculating a first performance index;
the second detection acquisition module is used for analyzing the first test scheme to obtain a second test scheme and performing performance detection on the preset pressure sensor to obtain a second performance index;
and the performance analysis module is used for carrying out performance analysis on the preset pressure sensor by combining the first performance index and the second performance index.
10. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-8.
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