CN113624280A - Industrial production instrument operation detection data analysis management method, equipment and storage medium - Google Patents
Industrial production instrument operation detection data analysis management method, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses an analysis management method, equipment and storage medium for operation detection data of industrial production instruments and meters, which are characterized in that operation detection and verification are carried out on the instruments and meters produced by industrial instrument manufacturers according to set detection time intervals, technical operation parameters and machine body operation parameters are respectively detected in each detection and verification process to obtain a plurality of operation detection records corresponding to the instruments and meters, and then useless operation detection record screening is carried out on each operation detection record, so that the abnormal degree coefficient of the abnormal operation parameters corresponding to the abnormal operation detection records is statistically analyzed on the reserved target operation detection records, and whether the instruments and meters are qualified or not is judged according to the analysis result, thereby realizing the comprehensive detection and verification of the production operation parameters of the industrial instruments and meters, and enabling the detection and verification mode to eliminate all abnormal hidden dangers of the instruments and meters, the qualified judgment accuracy of the instrument production is improved.
Description
Technical Field
The invention belongs to the technical field of analysis of instrument and meter detection data, and particularly relates to an analysis management method, equipment and a storage medium for operation detection data of instruments and meters in industrial production.
Background
With the continuous research of people in the field of electronic science and technology, the electronic information technology is greatly developed, which directly promotes the appearance of automation of instruments and meters, greatly expands the application range of the traditional instruments and meters. The multifunctional household appliance has the advantages of small size, strong function, low power consumption and the like, is rapidly and widely applied to household appliances, scientific research units and industrial enterprises, and brings great convenience to the production and life of people.
For instruments and meters used in the industrial field, because the requirement on the measurement accuracy of the instruments and meters in the field is higher, manufacturers for producing the instruments and meters in the field need to perform multiple operation detection and verification on the produced instruments and meters so as to judge whether the instruments and meters are qualified in production according to operation detection and verification results. However, in the process of operation, detection and verification of instruments and meters produced by industrial instrument manufacturers, the industrial instrument manufacturers only perform detection and verification on technical operation parameters which are mainly concerned in the industrial field, such as accuracy, sensitivity and the like, and neglect detection and verification of instrument and meter machine body operation parameters, such as machine body operation temperature, machine body operation noise and the like, so that some instruments and meters with abnormal hidden danger of machine body operation parameters cannot be detected. When such an instrument is put into industrial use, inconvenience is inevitably brought to users, the normal use of the users is influenced by light users, and the service life of the instrument is probably influenced by continuous abnormal hidden troubles of the operation of the machine body. Therefore, the operation detection and calibration indexes of the industrial instrument manufacturer for the production of the finished instruments are too one-sided, all abnormal hidden dangers of the instruments cannot be calibrated, and the qualified judgment accuracy of the instruments is low.
Disclosure of Invention
The technical task of the invention is to provide a method, equipment and storage medium for analyzing and managing the operation detection data of the industrial production instruments and meters, which have comprehensive operation detection and calibration indexes and high accuracy of qualified production judgment, aiming at the problems.
The purpose of the invention can be realized by the following technical scheme:
the invention provides a method for analyzing and managing operation detection data of an industrial production instrument, which comprises the following steps:
acquiring standard operation parameters of instruments, namely acquiring standard technical operation parameters, standard fuselage operation parameters and standard detection environment parameters corresponding to the instruments produced by industrial instrument manufacturers;
generating operation detection records of the instrument, namely performing operation detection and verification on the instrument produced by an industrial instrument manufacturer according to a set detection time interval, detecting technical operation parameters and machine body operation parameters in each detection and verification process, and acquiring detection environment parameters in each detection and verification process so as to generate each operation detection record corresponding to the instrument according to each detection result;
screening useless operation detection records, namely screening the useless operation detection records of each operation detection record corresponding to the instrument, removing the useless operation detection records, and recording the reserved operation detection records as target operation detection records;
judging abnormal operation detection records, namely judging the abnormal operation detection records of the reserved item label operation detection records, and acquiring the number of the abnormal operation detection records and abnormal operation parameters corresponding to the abnormal operation detection records according to the judgment result;
counting the abnormal degree coefficient corresponding to the abnormal operation parameter, namely counting the abnormal degree coefficient corresponding to the abnormal operation parameter of each abnormal operation detection record;
calculating the detection abnormal rate corresponding to the abnormal operation parameters, namely calculating the detection abnormal rate corresponding to the abnormal operation parameters of the instrument in the detection and verification process according to the abnormal degree coefficient corresponding to the abnormal operation parameters of each abnormal operation detection record;
and seventhly, judging whether the instrument is qualified or not according to the detection abnormal rate of each abnormal operation parameter corresponding to the instrument in the detection and verification process.
According to one implementation manner of the first aspect of the present invention, the standard technical operation parameters include standard precision, standard sensitivity and standard response duration, the standard airframe operation parameters include airframe operation standard temperature, airframe operation standard noise loudness and airframe operation standard noise frequency, and the standard detection environmental parameters include standard detection temperature, standard detection humidity, standard detection atmospheric pressure and standard detection dust concentration.
According to a manner of implementation of the first aspect of the present invention, the operation detection record includes a detection environment parameter, a detection result of a technical operation parameter, and a detection result of a fuselage operation parameter.
According to one possible implementation of the first aspect of the present invention, the method for screening the useless operation detection records includes the following steps:
a1, extracting detection environment parameters from each operation detection record;
a2, comparing the extracted detection environment parameters with the standard detection environment parameters corresponding to the instrument, if a certain detection environment parameter corresponding to a certain operation detection record is not in the standard range corresponding to the detection environment parameter, indicating that the operation detection record is not detected in the standard detection environment corresponding to the instrument, and recording the operation detection record as a useless operation detection record.
According to an implementation manner of the first aspect of the present invention, the specific determination process for determining the abnormal operation detection record for each reserved entry label operation detection record performs the following steps:
b1, extracting the detection result corresponding to each technical operation parameter from each item label operation detection record;
b2, comparing the detection result corresponding to each technical operation parameter with the standard value of the technical operation parameter corresponding to the instrument, if the detection result of the technical operation parameter corresponding to a certain item label operation detection record is larger than the standard value of the technical operation parameter corresponding to the instrument, recording the item label operation detection record as an abnormal operation detection record, and recording the technical operation parameter as an abnormal operation parameter;
b3, extracting the detection result corresponding to each airframe operation parameter from each item mark operation detection record;
b4, comparing the detection result corresponding to each fuselage operation parameter with the standard value of the fuselage operation parameter corresponding to the instrument, and if the detection result of the certain fuselage operation parameter corresponding to the certain item mark operation detection record is greater than the standard value of the fuselage operation parameter corresponding to the instrument, recording the item mark operation detection record as an abnormal operation detection record, and recording the fuselage operation parameter as an abnormal operation parameter.
According to a manner that can be realized by the first aspect of the present invention, the specific statistical method of the abnormal degree coefficient of the abnormal operation parameter corresponding to each abnormal operation detection record is to subtract the standard value corresponding to the abnormal operation parameter from the detection result of the abnormal operation parameter corresponding to each abnormal operation detection record to obtain a comparison value of the abnormal operation parameter corresponding to each abnormal operation detection record, and then divide the comparison value by the standard value corresponding to the abnormal operation parameter to obtain the abnormal degree coefficient of the abnormal operation parameter corresponding to each abnormal operation detection record.
According to a mode that can be realized in the first aspect of the present invention, a specific calculation method of the detection abnormal rate of the instrument and meter corresponding to each abnormal operation parameter in the detection and verification process is as follows:
c1, comparing the abnormal operation parameters corresponding to each abnormal operation detection record, judging whether the same abnormal operation parameters exist, if so, removing the duplicate of the same abnormal operation parameters to obtain all the abnormal operation parameters of the instrument in the detection and verification process, numbering the abnormal operation parameters and marking the abnormal operation parameters as 1,2, a.
C2, counting the number of abnormal operation detection records corresponding to each abnormal operation parameter from the abnormal operation detection record set corresponding to each abnormal operation parameter;
c3, carrying out average calculation on the abnormal degree coefficient corresponding to each abnormal operation detection record of each abnormal operation parameter in the abnormal operation detection record set to obtain the average abnormal degree coefficient corresponding to each abnormal operation parameter;
c4, comparing the abnormal degree coefficients corresponding to the abnormal operation detection records of the abnormal operation parameters in the abnormal operation detection record set, and screening out the maximum abnormal degree coefficient and the minimum abnormal degree coefficient;
c5 calculating the abnormal detection rate of the instrument corresponding to each abnormal operation parameter in the detection and verification process according to the total number of the operation detection records corresponding to the instrument, the number of the abnormal operation detection records corresponding to each abnormal operation parameter, and the corresponding average abnormal degree coefficient, maximum abnormal degree coefficient and minimum abnormal degree coefficient
ηiExpressed as the detected abnormal rate corresponding to the ith abnormal operation parameter, (epsilon)i)max、(εi)min、
Respectively expressed as a maximum abnormal degree coefficient, a minimum abnormal degree coefficient, an average abnormal degree coefficient, and z corresponding to the ith abnormal operation parameteriAnd the number of the abnormal operation detection records corresponding to the ith abnormal operation parameter is represented, and X is the total number of the operation detection records corresponding to the instrument.
According to a manner that can be realized by the first aspect of the present invention, the specific method for judging whether the instrument is qualified in production is to compare the detection abnormal rate of each abnormal operating parameter corresponding to the instrument in the detection and verification process with the standard minimum detection abnormal rate corresponding to the abnormal operating parameter, if the detection abnormal rate of any one abnormal operating parameter is greater than the standard minimum detection abnormal rate corresponding to the abnormal operating parameter, the instrument is unqualified in production, and if the detection abnormal rate of all the abnormal operating parameters is not greater than the standard minimum detection abnormal rate corresponding to the abnormal operating parameter, the instrument is qualified in production.
A second aspect of the present invention provides an apparatus, including a processor, and a memory and a network interface connected to the processor; the network interface is connected with a nonvolatile memory in the server; and the processor calls the computer program from the nonvolatile memory through the network interface during running and runs the computer program through the memory so as to execute the method for analyzing and managing the running detection data of the industrial production instrument and meter.
The third aspect of the present invention provides a storage medium, wherein a computer program is burned in the storage medium, and when the computer program runs in a memory of a server, the method for analyzing and managing the operation detection data of the industrial production instrument and meter is implemented.
Based on any one of the aspects, the invention has the beneficial effects that:
1. the invention carries out operation detection and verification on the instrument produced by an industrial instrument manufacturer according to a set detection time interval, and carries out detection on technical operation parameters and machine body operation parameters in each detection and verification process respectively to obtain a plurality of operation detection records corresponding to the instrument, and further carries out abnormal operation detection record judgment and analysis on each operation detection record so as to obtain the detection abnormal rate of the instrument corresponding to abnormal operation parameters in the detection and verification process, thereby judging whether the instrument is qualified or not according to the detection abnormal rate of the abnormal operation parameters, realizing comprehensive detection and verification on the production operation parameters of the industrial instrument, making up the defect that the operation detection and verification indexes of the instrument are too extensive by the industrial instrument manufacturer at present, and enabling the detection and verification mode to detect all abnormal hidden dangers of the instrument, the qualified judgment accuracy of the instrument production is improved.
2. The invention collects the detection environment parameters in the process of detecting and checking the instrument and meter each time, records the collected detection environment parameters in the detection record of each operation, so as to compare the detection environment parameters in the detection record of each operation with the standard detection environment parameters corresponding to the instrument, thereby eliminating useless operation detection records from a plurality of operation detection records according to the comparison result, only carrying out the judgment and analysis of the next abnormal operation detection record on the reserved target operation detection record, avoiding the phenomenon of carrying out partial useless judgment caused by directly carrying out the judgment of the abnormal operation detection record under the condition of not processing all the generated operation detection records, therefore, on one hand, the efficiency of judging abnormal operation detection records is reduced, and on the other hand, the qualified judgment accuracy of subsequent instrument production is influenced.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a flow chart of the method steps of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a first aspect of the present invention provides a method for analyzing and managing operation detection data of an industrial production instrument, including the following steps:
acquiring standard technical operation parameters, standard fuselage operation parameters and standard detection environment parameters corresponding to instruments and meters produced by industrial instrument manufacturers, wherein the standard technical operation parameters comprise standard precision, standard sensitivity and standard response duration, the standard precision, the standard sensitivity and the standard response duration are standard values corresponding to precision, sensitivity and response duration, the standard fuselage operation parameters comprise fuselage operation standard temperature, fuselage operation standard noise loudness and fuselage operation standard noise frequency, the fuselage operation standard temperature, the fuselage operation standard noise loudness and the fuselage operation standard noise frequency are standard values corresponding to fuselage operation temperature, fuselage operation noise loudness and fuselage operation noise frequency, and the standard detection environment parameters comprise standard detection temperature, standard detection sensitivity and standard detection environment parameters corresponding to standard detection temperature, standard fuselage operation noise loudness and fuselage operation standard noise frequency The standard detection temperature, the standard detection humidity, the standard detection atmospheric pressure and the standard detection dust concentration refer to standard ranges corresponding to the detection temperature, the detection humidity, the detection atmospheric pressure and the detection dust concentration;
generating instrument running detection records, namely, carrying out running detection and verification on the instrument produced by an industrial instrument manufacturer according to a set detection time interval, respectively carrying out detection on technical running parameters and machine body running parameters in each detection and verification process, and simultaneously collecting detection environment parameters in each detection and verification process so as to generate each running detection record corresponding to the instrument according to each detection result, wherein the running detection records comprise detection environment parameters, detection results of the technical running parameters and detection results of the machine body running parameters;
in the embodiment, detection environment parameters are collected in the process of carrying out detection and verification on the instrument and meter in each operation, so that a screening basis is provided for screening useless operation detection records;
screening useless operation detection records, namely screening the useless operation detection records of each operation detection record corresponding to the instrument, wherein the specific screening method comprises the following steps:
a1, extracting detection environment parameters from each operation detection record;
a2, comparing the extracted detection environment parameters with the standard detection environment parameters corresponding to the instrument, if a certain detection environment parameter corresponding to a certain operation detection record is not in the standard range corresponding to the detection environment parameter, indicating that the operation detection record is not detected in the standard detection environment corresponding to the instrument, marking the operation detection record as a useless operation detection record, removing the useless operation detection record, and marking the reserved operation detection record as a target operation detection record;
the reason why the useless operation detection records are screened for the plurality of operation detection records generated by the instrument is that each instrument has a corresponding standard use environment in the use process, and when the instrument is separated from the standard use environment corresponding to the instrument, the normal use of the instrument may have problems, so the operation detection and verification of the instrument should be carried out under the corresponding standard detection environment, the operation detection data obtained in the way are useful, and the subsequent abnormal operation detection record judgment can be carried out;
in the embodiment, useless operation detection records are removed from a plurality of operation detection records, and only the reserved target operation detection records are subjected to the judgment and analysis of the next abnormal operation detection records, so that the phenomenon of partial useless judgment caused by directly judging the abnormal operation detection records under the condition of not processing all the generated operation detection records is avoided, and the judgment efficiency of the abnormal operation detection records is reduced on one hand, and the qualified judgment accuracy of the subsequent instrument production is influenced on the other hand;
judging abnormal operation detection records, namely judging the abnormal operation detection records of the reserved item label operation detection records, wherein the specific judgment process executes the following steps:
b1, extracting the detection result corresponding to each technical operation parameter from each item label operation detection record;
b2, comparing the detection result corresponding to each technical operation parameter with the standard value of the technical operation parameter corresponding to the instrument, if the detection result of the technical operation parameter corresponding to a certain item label operation detection record is larger than the standard value of the technical operation parameter corresponding to the instrument, recording the item label operation detection record as an abnormal operation detection record, and recording the technical operation parameter as an abnormal operation parameter;
b3, extracting the detection result corresponding to each airframe operation parameter from each item mark operation detection record;
b4, comparing the detection result corresponding to each fuselage operation parameter with the standard value of the fuselage operation parameter corresponding to the instrument, and recording the entry mark operation detection record as an abnormal operation detection record and the fuselage operation parameter as an abnormal operation parameter if the detection result of the entry mark operation detection record corresponding to the fuselage operation parameter is larger than the standard value of the fuselage operation parameter corresponding to the instrument;
acquiring the number of abnormal operation detection records and abnormal operation parameters corresponding to each abnormal operation detection record according to the judgment result;
counting the abnormal degree coefficient of the abnormal operation parameter corresponding to each abnormal operation detection record, wherein the specific statistical method is that the detection result of the abnormal operation parameter corresponding to each abnormal operation detection record is subtracted by the standard value corresponding to the abnormal operation parameter to obtain the contrast value of the abnormal operation parameter corresponding to each abnormal operation detection record, and then the contrast value is divided by the standard value corresponding to the abnormal operation parameter to obtain the abnormal degree coefficient of the abnormal operation parameter corresponding to each abnormal operation detection record;
in the embodiment, the abnormal degree coefficient of the abnormal operation parameter corresponding to each abnormal operation detection record is subjected to statistical analysis, so that a cushion is provided for the subsequent calculation of the abnormal rate of the abnormal operation parameter corresponding to the instrument;
calculating the abnormal operation parameter corresponding detection abnormal rate, namely calculating the detection abnormal rate of the instrument corresponding to each abnormal operation parameter in the detection and verification process according to the abnormal degree coefficient of each abnormal operation detection record corresponding to each abnormal operation parameter, wherein the specific calculation method comprises the following steps:
c1, comparing the abnormal operation parameters corresponding to each abnormal operation detection record, judging whether the same abnormal operation parameters exist, if so, removing the duplicate of the same abnormal operation parameters to obtain all the abnormal operation parameters of the instrument in the detection and verification process, numbering the abnormal operation parameters and marking the abnormal operation parameters as 1,2, a.
C2, counting the number of abnormal operation detection records corresponding to each abnormal operation parameter from the abnormal operation detection record set corresponding to each abnormal operation parameter;
c3, carrying out average calculation on the abnormal degree coefficient corresponding to each abnormal operation detection record of each abnormal operation parameter in the abnormal operation detection record set to obtain the average abnormal degree coefficient corresponding to each abnormal operation parameter;
c4, comparing the abnormal degree coefficients corresponding to the abnormal operation detection records of the abnormal operation parameters in the abnormal operation detection record set, and screening out the maximum abnormal degree coefficient and the minimum abnormal degree coefficient;
c5 calculating the abnormal detection rate of the instrument corresponding to each abnormal operation parameter in the detection and verification process according to the total number of the operation detection records corresponding to the instrument, the number of the abnormal operation detection records corresponding to each abnormal operation parameter, and the corresponding average abnormal degree coefficient, maximum abnormal degree coefficient and minimum abnormal degree coefficient
ηiExpressed as the detected abnormal rate corresponding to the ith abnormal operation parameter, (epsilon)i)max、(εi)min、
Respectively expressed as a maximum abnormal degree coefficient, a minimum abnormal degree coefficient, an average abnormal degree coefficient, and z corresponding to the ith abnormal operation parameteriExpressing the number of the abnormal operation detection records corresponding to the ith abnormal operation parameter, and expressing X as the total number of the operation detection records corresponding to the instrument;
in the embodiment, the abnormal operation detection record quantity and the abnormal degree coefficient corresponding to the abnormal operation parameters are integrated in the process of calculating the detection abnormal rate of the corresponding abnormal operation parameters of the instrument, and compared with the method of calculating only according to the abnormal operation detection record quantity, the calculation mode enables the calculation result to be more comprehensive and reliable and provides a reliable judgment basis for finally performing qualified judgment on the production of the instrument;
and seventhly, judging whether the instrument is qualified or not according to the detection abnormal rate of each abnormal operation parameter corresponding to the instrument in the detection and verification process, wherein the specific judgment method comprises the steps of comparing the detection abnormal rate of each abnormal operation parameter corresponding to the instrument in the detection and verification process with the standard minimum detection abnormal rate corresponding to the abnormal operation parameter, if the detection abnormal rate of any abnormal operation parameter is greater than the standard minimum detection abnormal rate corresponding to the abnormal operation parameter, the instrument is unqualified in production, and if the detection abnormal rate of all the abnormal operation parameters is not greater than the standard minimum detection abnormal rate corresponding to the abnormal operation parameter, the instrument is qualified in production.
A second aspect of the present invention provides an apparatus, including a processor, and a memory and a network interface connected to the processor; the network interface is connected with a nonvolatile memory in the server; and the processor calls the computer program from the nonvolatile memory through the network interface during running and runs the computer program through the memory so as to execute the method for analyzing and managing the running detection data of the industrial production instrument and meter.
The third aspect of the present invention provides a storage medium, wherein a computer program is burned in the storage medium, and when the computer program runs in a memory of a server, the method for analyzing and managing the operation detection data of the industrial production instrument and meter is implemented.
The invention carries out operation detection and verification on the instrument produced by an industrial instrument manufacturer according to a set detection time interval, and carries out detection on technical operation parameters and machine body operation parameters in each detection and verification process respectively to obtain a plurality of operation detection records corresponding to the instrument, and further carries out abnormal operation detection record judgment and analysis on each operation detection record so as to obtain the detection abnormal rate of the instrument corresponding to abnormal operation parameters in the detection and verification process, thereby judging whether the instrument is qualified or not according to the detection abnormal rate of the abnormal operation parameters, realizing comprehensive detection and verification on the production operation parameters of the industrial instrument, making up the defect that the operation detection and verification indexes of the instrument are too extensive by the industrial instrument manufacturer at present, and enabling the detection and verification mode to detect all abnormal hidden dangers of the instrument, the qualified judgment accuracy of the instrument production is improved.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (10)
1. An industrial production instrument operation detection data analysis management method is characterized by comprising the following steps:
acquiring standard operation parameters of instruments, namely acquiring standard technical operation parameters, standard fuselage operation parameters and standard detection environment parameters corresponding to the instruments produced by industrial instrument manufacturers;
generating operation detection records of the instrument, namely performing operation detection and verification on the instrument produced by an industrial instrument manufacturer according to a set detection time interval, detecting technical operation parameters and machine body operation parameters in each detection and verification process, and acquiring detection environment parameters in each detection and verification process so as to generate each operation detection record corresponding to the instrument according to each detection result;
screening useless operation detection records, namely screening the useless operation detection records of each operation detection record corresponding to the instrument, removing the useless operation detection records, and recording the reserved operation detection records as target operation detection records;
judging abnormal operation detection records, namely judging the abnormal operation detection records of the reserved item label operation detection records, and acquiring the number of the abnormal operation detection records and abnormal operation parameters corresponding to the abnormal operation detection records according to the judgment result;
counting the abnormal degree coefficient corresponding to the abnormal operation parameter, namely counting the abnormal degree coefficient corresponding to the abnormal operation parameter of each abnormal operation detection record;
calculating the detection abnormal rate corresponding to the abnormal operation parameters, namely calculating the detection abnormal rate corresponding to the abnormal operation parameters of the instrument in the detection and verification process according to the abnormal degree coefficient corresponding to the abnormal operation parameters of each abnormal operation detection record;
and seventhly, judging whether the instrument is qualified or not according to the detection abnormal rate of each abnormal operation parameter corresponding to the instrument in the detection and verification process.
2. The method for analyzing and managing the operation detection data of the industrial production instrument and meter according to claim 1, wherein the method comprises the following steps: the standard technical operation parameters comprise standard precision, standard sensitivity and standard response duration, the standard fuselage operation parameters comprise fuselage operation standard temperature, fuselage operation standard noise loudness and fuselage operation standard noise frequency, and the standard detection environmental parameters comprise standard detection temperature, standard detection humidity, standard detection atmospheric pressure and standard detection dust concentration.
3. The method for analyzing and managing the operation detection data of the industrial production instrument and meter according to claim 1, wherein the method comprises the following steps: the operation detection records comprise detection environment parameters, technical operation parameter detection results and fuselage operation parameter detection results.
4. The method for analyzing and managing the operation detection data of the industrial production instrument and meter according to claim 1, wherein the method comprises the following steps: the specific method for screening the useless operation detection record is as follows:
a1, extracting detection environment parameters from each operation detection record;
a2, comparing the extracted detection environment parameters with the standard detection environment parameters corresponding to the instrument, if a certain detection environment parameter corresponding to a certain operation detection record is not in the standard range corresponding to the detection environment parameter, indicating that the operation detection record is not detected in the standard detection environment corresponding to the instrument, and recording the operation detection record as a useless operation detection record.
5. The method for analyzing and managing the operation detection data of the industrial production instrument and meter according to claim 1, wherein the method comprises the following steps: the specific judgment process for judging the abnormal operation detection record of each reserved item label operation detection record comprises the following steps:
b1, extracting the detection result corresponding to each technical operation parameter from each item label operation detection record;
b2, comparing the detection result corresponding to each technical operation parameter with the standard value of the technical operation parameter corresponding to the instrument, if the detection result of the technical operation parameter corresponding to a certain item label operation detection record is larger than the standard value of the technical operation parameter corresponding to the instrument, recording the item label operation detection record as an abnormal operation detection record, and recording the technical operation parameter as an abnormal operation parameter;
b3, extracting the detection result corresponding to each airframe operation parameter from each item mark operation detection record;
b4, comparing the detection result corresponding to each fuselage operation parameter with the standard value of the fuselage operation parameter corresponding to the instrument, and if the detection result of the certain fuselage operation parameter corresponding to the certain item mark operation detection record is greater than the standard value of the fuselage operation parameter corresponding to the instrument, recording the item mark operation detection record as an abnormal operation detection record, and recording the fuselage operation parameter as an abnormal operation parameter.
6. The method for analyzing and managing the operation detection data of the industrial production instrument and meter according to claim 1, wherein the method comprises the following steps: the specific statistical method of the abnormal degree coefficient of the abnormal operation parameter corresponding to each abnormal operation detection record is to subtract the standard value corresponding to the abnormal operation parameter from the detection result of the abnormal operation parameter corresponding to each abnormal operation detection record to obtain a comparison value of the abnormal operation parameter corresponding to each abnormal operation detection record, and then divide the comparison value by the standard value corresponding to the abnormal operation parameter to obtain the abnormal degree coefficient of the abnormal operation parameter corresponding to each abnormal operation detection record.
7. The method for analyzing and managing the operation detection data of the industrial production instrument and meter according to claim 1, wherein the method comprises the following steps: the specific calculation method of the detection abnormal rate of each abnormal operation parameter corresponding to the instrument in the detection and verification process is as follows:
c1, comparing the abnormal operation parameters corresponding to each abnormal operation detection record, judging whether the same abnormal operation parameters exist, if so, removing the duplicate of the same abnormal operation parameters to obtain all the abnormal operation parameters of the instrument in the detection and verification process, numbering the abnormal operation parameters and marking the abnormal operation parameters as 1,2, a.
C2, counting the number of abnormal operation detection records corresponding to each abnormal operation parameter from the abnormal operation detection record set corresponding to each abnormal operation parameter;
c3, carrying out average calculation on the abnormal degree coefficient corresponding to each abnormal operation detection record of each abnormal operation parameter in the abnormal operation detection record set to obtain the average abnormal degree coefficient corresponding to each abnormal operation parameter;
c4, comparing the abnormal degree coefficients corresponding to the abnormal operation detection records of the abnormal operation parameters in the abnormal operation detection record set, and screening out the maximum abnormal degree coefficient and the minimum abnormal degree coefficient;
c5 calculating the instrument according to the total number of the operation detection records corresponding to the instrument, the number of the abnormal operation detection records corresponding to each abnormal operation parameter and the corresponding average abnormal degree coefficient, maximum abnormal degree coefficient and minimum abnormal degree coefficientDetecting abnormal rate of instrument and meter corresponding to each abnormal operation parameter in detecting and checking process
ηiExpressed as the detected abnormal rate corresponding to the ith abnormal operation parameter, (epsilon)i)max、(εi)min、
Respectively expressed as a maximum abnormal degree coefficient, a minimum abnormal degree coefficient, an average abnormal degree coefficient, and z corresponding to the ith abnormal operation parameteriAnd the number of the abnormal operation detection records corresponding to the ith abnormal operation parameter is represented, and X is the total number of the operation detection records corresponding to the instrument.
8. The method for analyzing and managing the operation detection data of the industrial production instrument and meter according to claim 1, wherein the method comprises the following steps: the specific method for judging whether the instrument is qualified in production is to compare the detection abnormal rate of the instrument corresponding to each abnormal operation parameter with the standard minimum detection abnormal rate corresponding to the abnormal operation parameter in the detection and verification process, if the detection abnormal rate of any one abnormal operation parameter is greater than the standard minimum detection abnormal rate corresponding to the abnormal operation parameter, the instrument is unqualified in production, and if the detection abnormal rates of all the abnormal operation parameters are not greater than the standard minimum detection abnormal rate corresponding to the abnormal operation parameter, the instrument is qualified in production.
9. An apparatus, characterized by: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor, when running, retrieves a computer program from the non-volatile memory via the network interface and runs the computer program via the memory to perform the method of any of claims 1-8.
10. A storage medium, characterized by: the storage medium is burned with a computer program, and the computer program realizes the method of any one of the above claims 1-8 when running in the memory of the server.
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| CN202110897895.3A Withdrawn CN113624280A (en) | 2021-08-05 | 2021-08-05 | Industrial production instrument operation detection data analysis management method, equipment and storage medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114812651A (en) * | 2022-04-18 | 2022-07-29 | 武汉起深通讯有限公司 | Intelligent monitoring and early warning system for operation safety of instrument and meter based on sensor technology |
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2021
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114812651A (en) * | 2022-04-18 | 2022-07-29 | 武汉起深通讯有限公司 | Intelligent monitoring and early warning system for operation safety of instrument and meter based on sensor technology |
| CN114812651B (en) * | 2022-04-18 | 2023-05-12 | 上海悉德信息科技有限公司 | Instrument and meter operation safety intelligent monitoring and early warning system based on sensor technology |
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