CN117522220A - Instrument log-based instrument management method and system - Google Patents
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Abstract
The embodiment of the invention provides an instrument management method and system based on an instrument log, wherein the method comprises the following steps: acquiring a use log of the instrument to be detected, and extracting use duration data and abnormal data in the use log; determining an abnormal time axis of the instrument to be detected based on the using time length data and the abnormal data, and calculating a stability degree coefficient of the instrument to be detected; analyzing the abnormal data, determining corresponding abnormal attributes, and calculating weighted alarm health coefficients of the instrument to be detected based on the abnormal attributes; and calculating a weighted health curve of the instrument to be detected based on the stability degree coefficient and the weighted alarm health coefficient, and generating a corresponding management scheme based on the weighted health curve. Therefore, on the premise of saving human resources, the accuracy and timeliness of instrument maintenance are improved, and the service efficiency of production service is improved.
Description
Technical Field
The invention relates to the technical field of instrument analysis, in particular to an instrument management method and system based on an instrument log.
Background
In actual production sites, instruments for measuring various process parameters, executing various control instructions or converting signals and realizing communication are usually arranged, and in industrial production, the field instruments measure various parameters related to the quality of the production process, feed back signals or realize automatic adjustment of parameters by executing instructions of a control program. According to different functions, the field instrument has different production environments and different installation positions, and certain special functions such as high temperature resistance, high pressure resistance, corrosion resistance, explosion resistance and the like are needed. For automating the production process.
However, at present, the analysis of the instrument can only be performed on the production site on the results of maintenance of the instrument, the state of the NE107 and the like, and the analysis of the instrument using time and abnormal offline is not involved, so that the hysteresis of data exists, the generation requirement cannot be met, and if the problem is to be solved, more human resources are required to be input for supervision and management.
Disclosure of Invention
Aiming at the problems existing in the prior art, the embodiment of the invention provides an instrument management method and system based on an instrument log.
The embodiment of the invention provides an instrument management method based on an instrument log, which comprises the following steps:
acquiring a use log of the instrument to be detected, and extracting use duration data and abnormal data in the use log;
determining an abnormal time axis of the instrument to be detected based on the using time length data and the abnormal data, and calculating a stability degree coefficient of the instrument to be detected;
analyzing the abnormal data, determining corresponding abnormal attributes, and calculating weighted alarm health coefficients of the instrument to be detected based on the abnormal attributes;
and calculating a weighted health curve of the instrument to be detected based on the stability degree coefficient and the weighted alarm health coefficient, and generating a corresponding management scheme based on the weighted health curve.
In one embodiment, the calculation formula for calculating the stability factor of the to-be-detected instrument includes:
wherein said beta F F is the stability coefficient of the instrument to be detected E And (3) the abnormal offline frequency of the instrument in the abnormal data is set, and T is a test period.
In one embodiment, the calculating the weighted alarm health coefficient includes:
wherein the saidAnd (3) weighting the health coefficient of the instrument to be detected, wherein n is the number of abnormal alarms in the abnormal data, T is the duration of single abnormal alarms, f is the weight level of the single abnormal alarms, and T is the test period.
In one embodiment, the anomaly property comprises a weight level, the weight level being set according to anomaly level, anomaly duration in anomaly data,
or, the weight level is dynamically adjusted according to the service requirement corresponding to the instrument.
In one embodiment, the method further comprises:
dividing the stability degree coefficient and the weighted alarm health coefficient into different data sets according to the abnormal type corresponding to the abnormal data;
and calculating weighted health curves corresponding to different anomaly types according to the stability degree coefficients and the weighted alarm health coefficients in different data sets.
In one embodiment, the method further comprises:
and acquiring the service detection requirement corresponding to the instrument to be detected, screening a weighted health curve of the corresponding abnormal type according to the service detection requirement, and generating a corresponding management scheme based on the weighted health curve of the corresponding abnormal type.
The embodiment of the invention provides an instrument management system based on an instrument log, which comprises the following components:
the acquisition module is used for acquiring a use log of the instrument to be detected and extracting use duration data and abnormal data in the use log;
the calculating module is used for determining an abnormal time axis of the instrument to be detected based on the using time length data and the abnormal data and calculating a stability degree coefficient of the instrument to be detected;
the analysis module is used for analyzing the abnormal data, determining corresponding abnormal attributes and calculating the weighted alarm health coefficient of the instrument to be detected based on the abnormal attributes;
the scheme module is used for calculating a weighted health curve of the instrument to be detected based on the stability degree coefficient and the weighted alarm health coefficient, and generating a corresponding management scheme based on the weighted health curve.
In one embodiment, the system further comprises:
the classification module is used for classifying the stability degree coefficient and the weighted alarm health coefficient into different data sets according to the abnormal types corresponding to the abnormal data;
and the curve module is used for calculating weighted health curves corresponding to different abnormal types according to the stability degree coefficients and the weighted alarm health coefficients in different data sets.
The embodiment of the invention provides electronic equipment, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the steps of the meter management method based on the meter log when executing the program.
Embodiments of the present invention provide a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the meter log based meter management method described above.
The embodiment of the invention provides an instrument management method and system based on an instrument log, which are used for acquiring a use log of an instrument to be detected and extracting use duration data and abnormal data in the use log; determining an abnormal time axis of the instrument to be detected based on the using time length data and the abnormal data, and calculating a stability degree coefficient of the instrument to be detected; analyzing the abnormal data, determining corresponding abnormal attributes, and calculating weighted alarm health coefficients of the instrument to be detected based on the abnormal attributes; and calculating a weighted health curve of the instrument to be detected based on the stability degree coefficient and the weighted alarm health coefficient, and generating a corresponding management scheme based on the weighted health curve. Therefore, on the premise of saving human resources, the accuracy and timeliness of instrument maintenance are improved, and the service efficiency of production service is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a meter management method based on a meter log in an embodiment of the invention;
FIG. 2 is a flow chart of a meter according to an embodiment of the invention;
FIG. 3 is a graph showing the stability factor of the communication of an instrument according to an embodiment of the present invention;
FIG. 4 is a block diagram of an instrument management system based on an instrument log in an embodiment of the invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. 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.
Fig. 1 is a flow chart of an instrument management method based on an instrument log according to an embodiment of the present invention, and as shown in fig. 1, an embodiment of the present invention provides an instrument management method based on an instrument log:
step S101, obtaining a use log of the instrument to be detected, and extracting use duration data and abnormal data in the use log.
Specifically, the usage log of the meter may include a usage flow from configuration to discarding, where the usage flow may be as shown in fig. 2, after the configuration of the meter is completed, alarm information is generated after abnormal information appears or the meter is disconnected, then human maintenance is performed, as the usage time of the meter increases, the number of times of disconnection of the meter may be more and more frequent, normal offline may appear, the normal offline of the meter includes a standby meter configured with the meter, then the configuration information of the meter is deleted, the offline of the meter is completed, discarding of the offline meter is performed, the abnormal offline of the meter includes offline of the meter, discarding of the meter, corresponding usage log may be generated for corresponding data in the usage flow of the meter, the length data of the meter to be detected in the usage log is extracted, including the duration and time point of each stage of the meter in the usage flow, and abnormal data generated in the usage process of the meter, including the corresponding alarm duration, alarm type, alarm number, number of times of disconnection, duration of disconnection, and so on.
Step S102, determining an abnormal time axis of the instrument to be detected based on the using time length data and the abnormal data, and calculating a stability degree coefficient of the instrument to be detected.
Specifically, based on the acquired duration data and the anomaly data of the to-be-detected instrument, an anomaly time axis in which the to-be-detected instrument is abnormal in the use process can be determined, for example, the number of times of generating the anomaly type a, the corresponding time point, and the number of anomalies in the period time (for example, 1 month), the number of times of the anomaly type B, the corresponding time point, and the number of anomalies in the period time (for example, 1 month), and the like, and then, in combination with the data of the anomaly time axis, the stability degree coefficient of the instrument in which no anomaly is generated in the use process can be calculated, and the specific calculation process can include: selecting a periodic unit of the instrument through the duration data of the instrument to be detected, and then counting the number of times of the instrument to be detected on line and off line in the periodic unit, namely the number of times of various types of abnormality of the instrument, and performing corresponding instrument stability calculation, wherein a specific calculation formula can be as follows:
wherein said beta F F is the stability coefficient of the instrument to be detected E And (3) the abnormal offline frequency of the instrument in the abnormal data is set, and T is a test period.
In addition, when selecting the periodic units of the meters to be detected, as shown in fig. 3, the use period of the meters can be divided into a running-in period, a stable period and a declining period according to the normal use period of the meters to be detected, the corresponding degree coefficient curves can be divided into different phases, when counting the periodic units of the meters in different periods, the corresponding periodic unit periods can be selected differently, for example, when counting the meters in the running-in period and the declining period, the abnormal possibility of the meters is relatively high, the corresponding periodic unit period interval can be selected longer, the statistical data is increased, the statistical precision is improved, and when counting the meters in the stable period, the abnormal possibility of the meters is relatively low, the corresponding periodic unit period interval can be selected shorter, the statistical data is reduced, so that the data processing amount is reduced, and the data processing speed is improved.
Step S103, analyzing the abnormal data, determining corresponding abnormal attributes, and calculating the weighted alarm health coefficient of the instrument to be detected based on the abnormal attributes.
Specifically, when the abnormal data is generated by the instrument, the abnormal attribute of the corresponding abnormal data is determined, wherein the abnormal attribute may further include a weight level corresponding to the abnormal condition when the abnormal condition occurs in the instrument, the determination of the weight level may be based on each weight data, for example, the weight level of the current abnormal condition is greater when the abnormal level of the instrument is higher, the corresponding probability of the instrument being off line is greater, the corresponding weight attribute is higher, for example, the duration of the abnormal condition is longer, the corresponding weight attribute is higher when the duration of the abnormal condition of the instrument is longer, and the mapping relationship between the specific weight level and the data such as the abnormal registration, the abnormal duration and the like may be set according to the type of the instrument. After determining the weight level, the number of abnormal alarms, the duration of the abnormal alarms and other abnormal attributes, determining the alarm health coefficient weighted by the instrument according to the weight level according to the abnormal attributes, wherein the specific calculation process can comprise the following steps: selecting a periodic unit of the instrument through the duration data of the instrument to be detected, counting the times of abnormal alarm of the instrument to be detected in the periodic unit, the duration of single abnormal alarm, the weight level of the single abnormal alarm and the duration of the periodic unit, and calculating the alarm health coefficient of the instrument weighted according to the weight level, wherein a specific calculation formula can be as follows:
wherein the saidAnd (3) weighting the health coefficient of the instrument to be detected, wherein n is the number of abnormal alarms in the abnormal data, T is the duration of single abnormal alarms, f is the weight level of the single abnormal alarms, and T is the test period.
In addition, the weight level corresponding to the abnormal condition can be determined according to the abnormal data such as the abnormal level, the abnormal time length and the like, and can be dynamically adjusted according to the type of the instrument, and the service requirement corresponding to the instrument can be dynamically adjusted, for example, when the service requirement of the instrument is that the data of the service data is accurate and the instrument cannot be wrong, the corresponding weight level requirement on the instrument is high, the corresponding weight level of the abnormal condition can be improved, so that the alarm health coefficient used for the instrument is increased, the alarm possibility of the instrument is improved, and the importance degree of staff on the instrument is increased; when the service requirement of the instrument is that service data is kept complete, but the accuracy of the data is not high, the instrument can give an alarm, but abnormal offline conditions cannot occur, the alarm health coefficient used for the instrument can be correspondingly reduced, the alarm possibility of the instrument is correspondingly kept stable, and accordingly workers keep importance on the offline conditions of the instrument, but the alarm condition of the instrument can be subjected to post centralized processing temporarily, and therefore manpower maintenance resources are saved.
Step S104, calculating a weighted health curve of the instrument to be detected based on the stability degree coefficient and the weighted alarm health coefficient, and generating a corresponding management scheme based on the weighted health curve.
Specifically, based on the stability coefficient of the instrument which does not generate abnormality in the use process and the alarm health coefficient of the instrument which possibly generates alarm after being weighted according to the weight level, the weighted health curve of the instrument to be detected is comprehensively calculated, wherein the weighted health curve represents the curve which possibly generates abnormality after being weighted in the continuous operation process of the instrument, and the calculation process can be based on the alarm health coefficient, the coefficient correction can be carried out through the stability coefficient, so that the weighted health curve of the instrument is determined. The occurrence coefficient of abnormal conditions at each time point can be analyzed for the obtained weighted health curve, the manual intervention frequency can be enhanced for the time period when the abnormal conditions are larger than the preset threshold value, and the manual intervention frequency is reduced for the time period when the abnormal conditions are smaller than the preset threshold value, so that the management scheme can be ensured to intervene in the abnormal conditions of the instrument in time period when the instrument is easy to generate abnormality, and the abnormal offline time of the abnormal offline of the instrument can be reduced as far as possible.
According to the meter management method based on the meter log, provided by the embodiment of the invention, the use log of the meter to be detected is obtained, and the use duration data and the abnormal data in the use log are extracted; determining an abnormal time axis of the instrument to be detected based on the using time length data and the abnormal data, and calculating a stability degree coefficient of the instrument to be detected; analyzing the abnormal data, determining corresponding abnormal attributes, and calculating weighted alarm health coefficients of the instrument to be detected based on the abnormal attributes; and calculating a weighted health curve of the instrument to be detected based on the stability degree coefficient and the weighted alarm health coefficient, and generating a corresponding management scheme based on the weighted health curve. Therefore, on the premise of saving human resources, the accuracy and timeliness of instrument maintenance are improved, and the service efficiency of production service is improved.
In another embodiment, a meter management method based on a meter log further includes:
dividing the stability degree coefficient and the weighted alarm health coefficient into different data sets according to the abnormal type corresponding to the abnormal data;
and calculating weighted health curves corresponding to different anomaly types according to the stability degree coefficients and the weighted alarm health coefficients in different data sets.
In this embodiment, the stability coefficient and the weighted alarm health coefficient may be further divided into different sets according to different types of abnormality when the to-be-detected instrument is abnormal, where the abnormal types may include common abnormality such as insufficient electric quantity of the instrument, physical abnormality such as poor contact of the instrument, abnormal early warning such as abnormal detection data of the instrument, off-line abnormality such as failure in receiving the instrument data, failure in storing the instrument data, etc., and for different abnormal types, the weighted health curves corresponding to different abnormal types are calculated according to the stability coefficient and the weighted alarm health coefficient of different data sets. And determining the types of the anomalies which need to be noted when the current service is processed according to the service needs corresponding to the to-be-detected instrument, screening the weighted health curves corresponding to the types of the anomalies, and generating a corresponding management scheme based on the weighted health curves corresponding to the types of the anomalies. Thus, the method is more accurate and achieves the purpose of meter anomaly management through less data processing capacity.
Fig. 4 is a schematic diagram of an instrument management system based on an instrument log according to an embodiment of the present invention, including: an acquisition module S201, a calculation module S202, an analysis module S203, and a scheme module S204, wherein:
an acquisition module S201, configured to acquire a usage log of an instrument to be detected, and extract usage duration data and abnormal data in the usage log;
a calculating module S202, configured to determine an abnormal time axis of the instrument to be detected based on the usage duration data and the abnormal data, and calculate a stability coefficient of the instrument to be detected;
the analysis module S203 is used for analyzing the abnormal data, determining corresponding abnormal attributes, and calculating the weighted alarm health coefficient of the instrument to be detected based on the abnormal attributes;
the scheme module S204 is configured to calculate a weighted health curve of the instrument to be detected based on the stability coefficient and the weighted alarm health coefficient, and generate a corresponding management scheme based on the weighted health curve.
In one embodiment, the system further comprises:
the classification module is used for classifying the stability degree coefficient and the weighted alarm health coefficient into different data sets according to the abnormal types corresponding to the abnormal data;
and the curve module is used for calculating weighted health curves corresponding to different abnormal types according to the stability degree coefficients and the weighted alarm health coefficients in different data sets.
Specific limitations regarding the meter log based meter management system may be found in the limitations of the meter log based meter management method hereinabove, and are not described in detail herein. The various modules in the meter log based meter management system described above may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
Fig. 5 illustrates a physical schematic diagram of an electronic device, as shown in fig. 5, which may include: a processor (processor) 301, a memory (memory) 302, a communication interface (Communications Interface) 303 and a communication bus 304, wherein the processor 301, the memory 302 and the communication interface 303 perform communication with each other through the communication bus 304. The processor 301 may call logic instructions in the memory 302 to perform the following method: acquiring a use log of the instrument to be detected, and extracting use duration data and abnormal data in the use log; determining an abnormal time axis of the instrument to be detected based on the using time length data and the abnormal data, and calculating a stability degree coefficient of the instrument to be detected; analyzing the abnormal data, determining corresponding abnormal attributes, and calculating weighted alarm health coefficients of the instrument to be detected based on the abnormal attributes; and calculating a weighted health curve of the instrument to be detected based on the stability degree coefficient and the weighted alarm health coefficient, and generating a corresponding management scheme based on the weighted health curve.
Further, the logic instructions in memory 302 described above may be implemented in the form of software functional units and stored in a computer readable storage medium when sold or used as a stand alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, embodiments of the present invention further provide a non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor is implemented to perform the transmission method provided in the above embodiments, for example, including: acquiring a use log of the instrument to be detected, and extracting use duration data and abnormal data in the use log; determining an abnormal time axis of the instrument to be detected based on the using time length data and the abnormal data, and calculating a stability degree coefficient of the instrument to be detected; analyzing the abnormal data, determining corresponding abnormal attributes, and calculating weighted alarm health coefficients of the instrument to be detected based on the abnormal attributes; and calculating a weighted health curve of the instrument to be detected based on the stability degree coefficient and the weighted alarm health coefficient, and generating a corresponding management scheme based on the weighted health curve.
The system embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A meter management method based on a meter log, comprising:
acquiring a use log of the instrument to be detected, and extracting use duration data and abnormal data in the use log;
determining an abnormal time axis of the instrument to be detected based on the using time length data and the abnormal data, and calculating a stability degree coefficient of the instrument to be detected;
analyzing the abnormal data, determining corresponding abnormal attributes, and calculating weighted alarm health coefficients of the instrument to be detected based on the abnormal attributes;
and calculating a weighted health curve of the instrument to be detected based on the stability degree coefficient and the weighted alarm health coefficient, and generating a corresponding management scheme based on the weighted health curve.
2. The meter log-based meter management method according to claim 1, wherein the calculation formula for calculating the stability factor of the meter to be detected includes:
wherein said beta F F is the stability coefficient of the instrument to be detected E And (3) the abnormal offline frequency of the instrument in the abnormal data is set, and T is a test period.
3. The meter log based meter management method of claim 1, wherein the computing formula for computing the weighted alarm health coefficient comprises:
wherein the saidAnd (3) weighting the health coefficient of the instrument to be detected, wherein n is the number of abnormal alarms in the abnormal data, T is the duration of single abnormal alarms, f is the weight level of the single abnormal alarms, and T is the test period.
4. The meter log-based meter management method of claim 1, wherein the anomaly property comprises a weight level, the weight level being set according to an anomaly level, an anomaly time length in anomaly data,
or, the weight level is dynamically adjusted according to the service requirement corresponding to the instrument.
5. The meter log based meter management method of claim 1, further comprising:
dividing the stability degree coefficient and the weighted alarm health coefficient into different data sets according to the abnormal type corresponding to the abnormal data;
and calculating weighted health curves corresponding to different anomaly types according to the stability degree coefficients and the weighted alarm health coefficients in different data sets.
6. The meter log based meter management method of claim 5, further comprising:
and acquiring the service detection requirement corresponding to the instrument to be detected, screening a weighted health curve of the corresponding abnormal type according to the service detection requirement, and generating a corresponding management scheme based on the weighted health curve of the corresponding abnormal type.
7. A meter management system based on a meter log, the system comprising:
the acquisition module is used for acquiring a use log of the instrument to be detected and extracting use duration data and abnormal data in the use log;
the calculating module is used for determining an abnormal time axis of the instrument to be detected based on the using time length data and the abnormal data and calculating a stability degree coefficient of the instrument to be detected;
the analysis module is used for analyzing the abnormal data, determining corresponding abnormal attributes and calculating the weighted alarm health coefficient of the instrument to be detected based on the abnormal attributes;
the scheme module is used for calculating a weighted health curve of the instrument to be detected based on the stability degree coefficient and the weighted alarm health coefficient, and generating a corresponding management scheme based on the weighted health curve.
8. The meter log based meter management system of claim 7, wherein the system further comprises:
the classification module is used for classifying the stability degree coefficient and the weighted alarm health coefficient into different data sets according to the abnormal types corresponding to the abnormal data;
and the curve module is used for calculating weighted health curves corresponding to different abnormal types according to the stability degree coefficients and the weighted alarm health coefficients in different data sets.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the meter log based meter management method of any one of claims 1 to 6 when the program is executed by the processor.
10. A non-transitory computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the steps of the meter log based meter management method of any one of claims 1 to 6.
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