CN107907764B - Detection method and system suitable for intelligent characteristic verification of intelligent instrument - Google Patents
Detection method and system suitable for intelligent characteristic verification of intelligent instrument Download PDFInfo
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- CN107907764B CN107907764B CN201711130414.6A CN201711130414A CN107907764B CN 107907764 B CN107907764 B CN 107907764B CN 201711130414 A CN201711130414 A CN 201711130414A CN 107907764 B CN107907764 B CN 107907764B
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- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a detection method and a detection system suitable for intelligent characteristic verification of an intelligent instrument. The detection method comprises the following steps: acquiring the intelligent characteristic of the intelligent instrument; the intelligent features include: perception, self-adaptation, self-diagnosis, digital communication, human-computer interaction; determining a test scheme according to the intelligent characteristics; the test scheme comprises test indexes, test conditions, a test process, a tool, an instrument, test steps and contents to be recorded; acquiring a plurality of scene cases; the scene case simulates the environmental conditions and the intelligent instrument function in a real production place; judging whether a first scene case corresponding to the test scheme exists in the plurality of scene cases, and if so, determining the stability degree of the intelligent characteristic according to the first scene case; if not, the test protocol is modified. The detection method and the detection system provided by the invention can be used for verifying the intelligent characteristics of the intelligent instrument, so that the development progress of the intelligent instrument is improved.
Description
Technical Field
The invention relates to the field of metering and testing of instruments and meters, in particular to a detection method and a detection system suitable for intelligent characteristic verification of an intelligent instrument.
Background
The invention relates to an intelligent instrument, which mainly comprises an intelligent transmitter and an intelligent valve positioner. The former is widely used in the continuous measurement and transmission of signals in process industrial production, and is an automatic measurement method for continuously collecting the state, content and property of a measured substance, which can convert and transmit the measured signal in situ, is positioned at the front end of the detection and control of the production process, plays an irreplaceable important role in the process control, can be directly installed on a process pipeline, and the sensor is directly installed in a process pipeline or equipment, and is called as an in-situ intelligent instrument; the latter controls the opening and closing degree of the valve by converting a signal from a control system into a driving signal, thereby automatically adjusting the flow and pressure of the pipeline medium, and is called an intelligent valve positioner. The common characteristics of the two types of intelligent meters are as follows: on the premise of meeting the requirements of applicability of intelligent functions and stable and reliable performance of the instrument, the consistency of measurement and execution of the intelligent functions is ensured, automatic adjustment and calibration can be performed, configuration is simple, convenient and flexible, logic judgment, digital calculation and remote communication can be performed, functions such as adjustment characteristics, stroke limitation or split operation and the like can be conveniently set, functions are enhanced, and the instrument has expansibility, performance improvement, more flexibility in use and easier maintenance.
The verification of the intelligent instrument is a general term for various detections for understanding, evaluating, analyzing and improving the intelligent characteristics of the intelligent instrument, and aims to optimize the design of intelligent functions, perfect the adaptive distribution of intelligent elements, provide necessary information for improving the intelligent characteristics of the intelligent instrument and finally verify the intelligent characteristics of the intelligent instrument; in other words, any detection related to smart meter functionality may be considered smart feature verification. The intelligent characteristic of the intelligent instrument is designed, manufactured and verified, and the verification of the intelligent characteristic plays a vital role in the development process of the intelligent instrument, particularly ensuring that the intelligent instrument meets the intelligent characteristic requirement of design. For the inherent property of an intelligent instrument, the intelligent characteristic of the intelligent instrument is mainly generated in the development stage, namely, the intelligent characteristic is designed and guaranteed, and problems are found by verification, so that the intelligent characteristic verification project is developed as much as possible in the development stage; the earlier and more sufficient the verification is developed, the more the development cost is saved, and the development progress can be accelerated.
However, few intelligent characteristic verification researches on intelligent instruments in China are carried out, comprehensive detection methods and systems are less researched, and at present, the intelligent characteristic verification is rarely carried out on the development, the test and the use of the intelligent instruments.
Disclosure of Invention
The invention aims to provide a detection method and a detection system suitable for intelligent characteristic verification of an intelligent instrument, and aims to solve the problems that the intelligent characteristic of the intelligent instrument cannot be verified and the development progress of the intelligent instrument is slow.
In order to achieve the purpose, the invention provides the following scheme:
a detection method suitable for intelligent characteristic verification of a smart meter comprises the following steps:
acquiring the intelligent characteristic of the intelligent instrument; the intelligent features include: perception, self-adaptation, self-diagnosis, digital communication, human-computer interaction;
determining a test scheme according to the intelligent characteristics; the test scheme comprises test indexes, test conditions, a test process, a tool, an instrument, test steps and contents to be recorded;
acquiring a plurality of scene cases; the scene case simulates the environmental conditions and the intelligent instrument function in a real production place;
judging whether a first scene case corresponding to the test scheme exists in the plurality of scene cases to obtain a first judgment result;
if the first judgment result indicates that a first scene case corresponding to the test scheme exists in the plurality of scene cases, determining the stability degree of the intelligent characteristic according to the first scene case;
and if the first judgment result shows that the first scene case corresponding to the test scheme does not exist in the plurality of scene cases, modifying the test scheme.
Optionally, the determining the stability degree of the intelligent characteristic according to the first scene case specifically includes:
obtaining a plurality of output signals according to the first scene case; the output signal comprises a direct current voltage signal, a direct current signal or mechanical displacement;
determining a time characteristic curve of the transfer function according to the output signal;
and determining the stability degree of the intelligent characteristic according to the time characteristic curve.
Optionally, the determining the stability degree of the intelligent characteristic according to the first scene case specifically includes:
determining a test result of the intelligent characteristic according to the first scene case;
and determining the stability degree of the intelligent characteristic according to the test result.
Optionally, the determining the test result of the intelligent characteristic according to the first scenario case specifically includes:
selecting a function combination corresponding to the intelligent characteristic according to the first scene case;
determining a restriction condition according to the function combination; the restriction conditions comprise a function sequence, and an input range and an output range of the function signals;
acquiring a history self-diagnosis record; the historical self-diagnosis records comprise fault types, temperature and vibration;
and determining the test result according to the restriction condition and the historical self-diagnosis record.
Optionally, after determining the test result according to the constraint condition and the historical self-diagnosis record, the method further includes:
judging whether the test result oscillates to obtain a second judgment result;
if the second judgment result represents that the test result oscillates, adjusting the type and the magnitude of the input signal;
if the second judgment result indicates that the test result does not oscillate, determining the test result output by each function in the intelligent characteristic;
outputting a verification report according to a plurality of test results; the verification report comprises case function execution conditions, failure modes occurring in the verification process and failure elimination conditions after the implementation of improvement measures.
A detection system adapted for smart meter smart feature verification, comprising:
the intelligent characteristic acquisition module is used for acquiring the intelligent characteristics of the intelligent instrument; the intelligent features include: perception, self-adaptation, self-diagnosis, digital communication, human-computer interaction;
the test scheme determining module is used for determining a test scheme according to the intelligent characteristics; the test scheme comprises test indexes, test conditions, a test process, a tool, an instrument, test steps and contents to be recorded;
the scene case acquisition module is used for acquiring a plurality of scene cases; the scene case simulates the environmental conditions and the intelligent instrument function in a real production place;
the first judging module is used for judging whether a first scene case corresponding to the test scheme exists in the plurality of scene cases to obtain a first judging result;
the stability degree determining module is used for determining the stability degree of the intelligent characteristic according to the first scene case if the first judgment result shows that the first scene case corresponding to the test scheme exists in the plurality of scene cases;
and the test scheme modification module is used for modifying the test scheme if the first judgment result shows that the first scene case corresponding to the test scheme does not exist in the plurality of scene cases.
Optionally, the stability determining module specifically includes:
an output signal obtaining unit, configured to obtain a plurality of output signals according to the first scene case; the output signal comprises a direct current voltage signal, a direct current signal or mechanical displacement;
a time characteristic curve determining unit for determining a time characteristic curve of the transfer function from the output signal;
and the first stability degree determining unit is used for determining the stability degree of the intelligent characteristic according to the time characteristic curve.
Optionally, the determining module according to the degree of stability specifically includes:
the test result determining unit is used for determining the test result of the intelligent characteristic according to the first scene case;
and the second stability degree determining unit is used for determining the stability degree of the intelligent characteristic according to the test result.
Optionally, the test result determining unit specifically includes:
a function combination selection subunit, configured to select a function combination corresponding to the intelligent characteristic according to the first scene case;
a constraint condition determining subunit configured to determine a constraint condition from the functional combination; the restriction conditions comprise a function sequence, and an input range and an output range of the function signals;
a history self-diagnosis record acquisition subunit operable to acquire a history self-diagnosis record; the historical self-diagnosis records comprise fault types, temperature and vibration;
and the test result determining subunit is used for determining the test result according to the restriction condition and the historical self-diagnosis record.
Optionally, after the determining the subunit according to the test result, the method further includes:
the second judgment subunit is used for judging whether the test result oscillates or not to obtain a second judgment result;
an adjusting subunit, configured to adjust a type and a magnitude of an input signal if the second determination result indicates that the test result oscillates;
a test result determining subunit, configured to determine a test result output by each function in the intelligent characteristic if the second determination result indicates that the test result does not oscillate;
the verification report output subunit is used for outputting a verification report according to a plurality of test results; the verification report comprises case function execution conditions, failure modes occurring in the verification process and failure elimination conditions after the implementation of improvement measures.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects: the invention provides a detection method and a detection system suitable for intelligent characteristic verification of an intelligent instrument, which can perform characteristic verification by comprehensively testing intelligent functions in set scene cases, simulate real use environments and change working conditions in a stepping or random mode according to verification requirements; the invention can be implemented in each stage of the design, development and operation and maintenance cycle of the intelligent instrument, so as to facilitate the design modification and performance improvement of the intelligent instrument; the test scheme is continuously modified to improve the verification precision of the intelligent characteristics, so that the development progress of the intelligent instrument 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 needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flow chart of a method for detecting characteristics of a smart meter according to the present invention;
FIG. 2 is a block diagram of a system for detecting characteristics of a smart meter provided in accordance with the present invention;
fig. 3 is a schematic structural diagram of a verification system and a matching test instrument provided in 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.
The invention aims to provide a detection method and a detection system suitable for intelligent characteristic verification of an intelligent instrument, so as to improve the verification precision of the intelligent characteristic and further improve the development progress of the intelligent instrument.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
At present, the verification aiming at the intelligent characteristics is still rare in the development, the test and the use of intelligent instruments. The existing technical problems are mainly as follows: 1) at present, calibration, reliability tests and the like of instruments are carried out by more standard methods, but the intelligent characteristics of the intelligent instrument are not considered, different manufacturer methods are different, the intelligent level is lack of standardized verification, the accurate evaluation of the intelligent characteristic level of the intelligent instrument is influenced, and the confusion is caused to users; 2) the existing test cannot promote the improvement of the function of the instrument because of the lack of consideration of intelligent characteristics, especially self-adaptive characteristics under the conditions of condition change and interference factors; 3) the influence of different intelligent characteristics on the overall performance of the instrument is different, and the existing test verification lacks functional differentiation consideration, so that the targeted improvement is difficult to find in time, a verification-analysis-improvement (TAAF) method is less adopted, and the performance of the instrument cannot be effectively improved by an intelligent characteristic verification means; 4) the existing test lacks a system, comprehensive function coverage verification (with cost factors) and targeted verification and improvement method and scientific data processing, so that the actual level of the intelligent characteristic of the intelligent instrument is difficult to reflect in the test, and direct help for improving the intelligent characteristic level of the intelligent instrument cannot be provided.
The invention carries out characteristic verification through comprehensive testing of intelligent functions in a set test scene, the test scene simulates a real use environment, and working conditions can be changed in a stepping or random mode according to verification requirements, such as: environment temperature and humidity, working medium pressure, vibration, power supply and the like. The invention can be implemented at each stage in the design, development and operation and maintenance cycle of the intelligent instrument, so as to facilitate the design modification and performance improvement of the intelligent instrument. The intelligent characteristic index of the intelligent instrument is determined by improving the verification-analysis-improvement circulation process of model sample and data accurate analysis and by combining the characteristic verification parameters of the analysis dynamic adjustment of the characteristic historical data of the intelligent instrument, and the intelligent characteristic index can be further adjusted according to the application characteristics.
Fig. 1 is a flowchart of a method for detecting characteristics of an intelligent instrument, and as shown in fig. 1, a method for detecting intelligent characteristic verification of an intelligent instrument is characterized by comprising:
step 101: acquiring the intelligent characteristic of the intelligent instrument; the intelligent features include: perception, self-adaptation, self-diagnosis, digital communication, human-computer interaction.
Step 102: determining a test scheme according to the intelligent characteristics; the test scheme comprises test indexes, test conditions, a test process, a tool, used instruments, test steps and contents required to be recorded.
Step 103: acquiring a plurality of scene cases; the scene case simulates the environmental conditions and the intelligent instrument functions in a real production place.
Step 104: and judging whether a first scene case corresponding to the test scheme exists in the plurality of scene cases, if so, executing step 105, and if not, executing step 106.
Step 105: and determining the stability degree of the intelligent characteristic according to the first scene case.
The step 105 of determining the degree of stability may be: obtaining a plurality of output signals according to the first scene case; the output signal comprises a direct current voltage signal, a direct current signal or mechanical displacement; determining a time characteristic curve of the transfer function according to the output signal; and determining the stability degree of the intelligent characteristic according to the time characteristic curve.
The determination of the degree of stability may also be carried out by: determining a test result of the intelligent characteristic according to the first scene case; and determining the stability degree of the intelligent characteristic according to the test result.
Wherein the determining the test result of the intelligent characteristic according to the first scene case specifically includes: selecting a function combination corresponding to the intelligent characteristic according to the first scene case; determining a restriction condition according to the function combination; the restriction conditions comprise a function sequence, and an input range and an output range of the function signals; acquiring a history self-diagnosis record; the historical self-diagnosis records comprise fault types, temperature and vibration; and determining the test result according to the restriction condition and the historical self-diagnosis record.
After the determining the test result according to the restriction condition and the historical self-diagnosis record, the method further comprises the following steps: judging whether the test result oscillates, if so, adjusting the type and the magnitude of an input signal; if not, determining the test result output by each function in the intelligent characteristics; outputting a verification report according to a plurality of test results; the verification report comprises case function execution conditions, failure modes occurring in the verification process and failure elimination conditions after the implementation of improvement measures.
Step 106: the protocol was modified.
Compared with the current general test, the invention aims to:
when the test verification method is designed, the pertinence of the intelligent characteristic is increased on the basis of the original conventional requirement, and the level, the potential and the improvement of the intelligent characteristic of the intelligent instrument are better found.
The intelligent characteristics of the intelligent instrument are mainly considered in the environmental conditions, so that the applicability and the adaptability are highlighted, different schemes can be adopted for different intelligent instruments, the intelligent instrument can be used under different environmental conditions, the verification-analysis-improvement process is improved perfectly, more reliable information can be provided, namely, the intelligent characteristics of the intelligent instrument are improved, the functional integrity and the efficiency are improved, and the maintenance and guarantee cost is reduced.
The coverage of verification tests on intelligent functions is improved, data collection is optimized, the verification on the compliance of relevant standards of intelligent characteristics is more accurate, and more accurate intelligent characteristic data verification is obtained when the intelligent characteristic verification system is established in a real use environment or under a simulated real environment condition.
The steps of the optimized detection method are as follows:
1) adding intelligent characteristic technology state analysis on the basis of routine test preparation, comprising the following steps: sensing types (physical, chemical and biological) and signal transmission modes (voltage/current), self-diagnosis contents (power supply, null shift, memory, communication, circuit fault, mechanical fault and the like), self-adaptation (temperature and pressure compensation change, working condition change, power supply fluctuation and the like), communication (analog and digital) and human-computer interaction (site and remote transmission); the intelligent instrument to be verified is required to complete basic performance and reliability tests, although the regulations of various types of products on intelligent functions are different, basic functions of perception, self-diagnosis, self-adaptation, communication, man-machine interaction and the like are the minimum requirements, in order to ensure the validity of verification, verification is required to be carried out on a representative sample, and a test scheme (verification outline and verification program) is determined according to an analysis result, wherein the outline comprises the following steps: purpose, index, condition, content, frock, instrument etc. the procedure includes: steps, operations, records, etc.
2) According to the stage of design and development and the allowable condition of time, selecting a suitable intelligent manufacturing scene case (for improved and modified equipment, in order to save verification time and expenditure, a direct function test scheme can also be adopted), wherein the scene is to simulate the environment and conditions in a real production site in a laboratory, and the case is a function combination to be completed aiming at each intelligent characteristic. Ideally, all possible combinations of functions (i.e., full coverage) should be tested and verified, but representative, more weighted functions may be selected for verification based on environmental and operational stress requirements, taking into account experimental risk and cost factors.
3) Selecting interference and restriction conditions which can represent the intelligent instrument and take into account the region, season or some uncontrollable burst factors, and analyzing possible weak links to reduce the damage to the intelligent instrument in the verification process as much as possible; the verification condition is set up and a preferential principle is selected as follows: actual measurement environmental conditions → similar environmental conditions → reference environmental conditions recommended by standards to fully embody the realizability of various intelligent functions of the intelligent instrument, and then the indexes (sensitivity, response time, diagnosis coverage rate and the like) to be achieved by the function to be tested are determined, so as to adjust the type and the quantity value of the input signal of the test according to the indexes.
4) After the verification scheme is determined, continuously verifying at least 3-5 function combinations in each scene in different clearly distinguished test scenes, namely configuring a scene case function interval. And setting function restriction conditions according to the input and output range and the execution sequence requirements in the case function, thereby avoiding repetition and sequence disorder. And continuously monitoring the verification result to complete the verification scheme by verification-analysis-improvement (TAAF).
5) Adjusting the relation (configuration parameters) of signal input, monitoring display, data recording and alarm output of the intelligent function, evaluating the verification degree of each intelligent characteristic by adopting 85% of a coverage case in intelligent function verification as a starting point in a stepping mode (if the function test scene cases of the intelligent instrument are enough, the two cases can be taken as between the two cases), and testing the intelligent self-diagnosis function in a mode of artificially adding faults (such as vibration, temperature change, electromagnetic interference and the like) in a test to shorten the test time; in the case of output control actuators (smart valve positioners), partial stroke (split) and full stroke (stroke) tests are also added to determine the length of stroke by applying the required adjustment (in equal proportion or percentage) and to further adjust the above parameters according to the results of the tests (e.g. whether oscillations and overshoots occur in the process).
6) And (4) verifying the intelligent functions one by one continuously or simultaneously in parallel according to the algorithm control requirements (sequential control or feedback) in the simulation scene. In particular: for the perception function: the sensing information is stepped up/down by 10 percent and is kept for 1 minute (according to the measuring range of the intelligent instrument), and the performance test of the intelligent instrument is carried out after the signal is stable; for the self-diagnostic function: the artificial implantation fault is limited to be not up to the working or damage limit of the intelligent instrument, and if the artificial implantation fault is abnormal, failure/fault and analysis improvement are carried out; for the communication function: the information can be collected in parallel with other functions and by means of different channel comparisons.
In the above processes 1) to 6), data analysis is applied to perform data processing for intelligent characteristic detection, and the specific data processing process is as follows:
firstly, in performance monitoring, the performance detection includes: functional parameters, characteristic curves and detection intervals; wherein, the function parameter is the realization degree of the intelligent function (such as signal integrity, diagnosis coverage rate, communication consistency and the like), the characteristic curve represents the control characteristic (time characteristic of transfer function) realized by the intelligent instrument, and the detection interval reflects the sampling periodicity or the function execution periodicity of monitoring. Judging whether the data is shifted or not according to the data after performance monitoring, considering the shift with the consistent increasing and decreasing directions and the shift with independent change caused by function association, and according to the number of detection samples of the same or similar products, if the data is consistent well, the data shift does not occur, only processing residual errors by using typical probability distribution, otherwise, performing parameter estimation on the verification process by using a mathematical statistics method.
During the verification process, the intelligent characteristic verification system of the intelligent instrument must be monitored in real time, and the verification should be stopped when one of the following three conditions occurs:
1) the basic function of the assembly/complete machine fails, and the tested intelligent instrument cannot work.
2) The working stress level is higher than the level set for verifying the durability of the intelligent instrument, and the performance parameter detection result of the tested intelligent instrument is out of the specification allowable range.
3) The adopted operation mode is different from the actual condition, so that the loosening, the cracking, the breaking or the damage of the machinery, the structural components or the elements of the equipment (comprising the mounting rack) are caused.
Failure handling in verification:
1) and carrying out fault analysis on the fault intelligent instrument, and filling an intelligent characteristic verification fault report table according to the TAAF requirement improved by the characteristics of the intelligent instrument.
2) When the failure cause is determined, the failure intelligent instrument is repaired, the part with the stress exceeding the allowable rated value caused by the failure of other parts can be replaced during the repair, but the part with the performance deteriorated but not exceeding the allowable tolerance can not be replaced, and when the replacement of the part is difficult, the assembly can be replaced.
3) And filling the correction measures in an intelligent characteristic verification fault correction measure report table.
4) And (4) zeroing the responsibility fault occurring in the verification process, and finishing the fault zeroing report. The main contents of the method comprise: the time of occurrence of the fault and the environmental conditions; a fault phenomenon; fault cause, Fault Tree Analysis (FTA) is performed if necessary; fault recurrence (to ensure the accuracy of fault location, the fault should be able to recur); corrective action taken (including design, process and regulatory corrective action); verifying the effectiveness of the corrective measures and solving three working conditions; managing a zeroing condition; reports, summary and other material summaries formed during the zeroing process, and other relevant content.
By the adoption of the detection method for the intelligent instrument characteristics, verification accuracy of the intelligent characteristics can be improved, and therefore development progress of the intelligent instrument is improved.
Fig. 2 is a structural diagram of a detection system for smart meter characteristics provided by the present invention, and as shown in fig. 2, a detection system suitable for smart meter intelligent characteristic verification is characterized by comprising:
an intelligent characteristic obtaining module 201, configured to obtain an intelligent characteristic of the intelligent instrument; the intelligent features include: perception, self-adaptation, self-diagnosis, digital communication, human-computer interaction.
A test scheme determining module 202, configured to determine a test scheme according to the intelligent characteristic; the test scheme comprises test indexes, test conditions, a test process, a tool, used instruments, test steps and contents required to be recorded.
A scene case acquiring module 203, configured to acquire a plurality of scene cases; the scene case simulates the environmental conditions and the intelligent instrument functions in a real production place.
The first determining module 204 is configured to determine whether a first scene case corresponding to the test scheme exists in the plurality of scene cases, so as to obtain a first determining result.
And a stability determining module 205, configured to determine, if the first determination result indicates that a first scenario case corresponding to the test scenario exists in the multiple scenario cases, a stability of the intelligent characteristic according to the first scenario case.
The stability determination module 205 includes: an output signal obtaining unit, configured to obtain a plurality of output signals according to the first scene case; the output signal comprises a direct current voltage signal, a direct current signal or mechanical displacement; a time characteristic curve determining unit for determining a time characteristic curve of the transfer function from the output signal; and the first stability degree determining unit is used for determining the stability degree of the intelligent characteristic according to the time characteristic curve.
The determining module 205 according to the stability degree may further include: the test result determining unit is used for determining the test result of the intelligent characteristic according to the first scene case; and the second stability degree determining unit is used for determining the stability degree of the intelligent characteristic according to the test result.
The test result determining unit specifically includes: a function combination selection subunit, configured to select a function combination corresponding to the intelligent characteristic according to the first scene case; a constraint condition determining subunit configured to determine a constraint condition from the functional combination; the restriction conditions comprise a function sequence, and an input range and an output range of the function signals; a history self-diagnosis record acquisition subunit operable to acquire a history self-diagnosis record; the historical self-diagnosis records comprise fault types, temperature and vibration; and the test result determining subunit is used for determining the test result according to the restriction condition and the historical self-diagnosis record.
After the test result determining subunit, further comprising: the second judgment subunit is used for judging whether the test result oscillates or not to obtain a second judgment result; an adjusting subunit, configured to adjust a type and a magnitude of an input signal if the second determination result indicates that the test result oscillates; a test result determining subunit, configured to determine a test result output by each function in the intelligent characteristic if the second determination result indicates that the test result does not oscillate; the verification report output subunit is used for outputting a verification report according to a plurality of test results; the verification report comprises case function execution conditions, failure modes occurring in the verification process and failure elimination conditions after the implementation of improvement measures.
A test scheme modification module 206, configured to modify the test scheme if the first determination result indicates that the first scenario case corresponding to the test scheme does not exist in the multiple scenario cases.
The implementation of intelligent characteristic verification of the intelligent instrument mainly comprises the following steps: determining the purpose and requirement of the verification project; determining sample composition and quantity for validation; optimizing the selection of the verification scheme (relating to verification purposes, index evaluation, verification time, sample quantity and the like) according to a verification method: once the optimized verification scheme is determined, the optimized verification scheme cannot be changed randomly in verification; determining the verification environment condition and the application mode thereof: the embodiments should be formulated based on previously determined verification environmental stress conditions, and the magnitude of each stress condition determined.
Determining sample characteristic test function item group and time requirement: the general principle is that the test items cover all basic performance and intelligent functions as much as possible, and the monitoring time is determined at the time point with severe environmental stress conditions.
And (3) fault criterion: according to different scene case descriptions, the related faults, namely the faults of the intelligent instrument in the verification process, can be specified in advance, and the faults can also occur under the actual use condition; liability failure-failure is a failure caused by a problem with the smart meter itself.
Fig. 3 is a schematic structural diagram of a verification system and a supporting test instrument provided in the present invention, and as shown in fig. 3, the verification system and the supporting test instrument: verification is performed according to a verification scheme and data is recorded.
Data to be recorded in verification:
1) case function execution case: a) a sensing signal input curve; b) an actuator flow adjustment curve; c) interrupt and alarm recording; d) a parameter change history report; e) self-diagnosis coverage rate; f) human-computer interaction frequency; g) communication error rate and packet loss rate; h) data record integrity.
2) Failure mode occurring during verification: a) the input signal has larger drift; b) the flow regulation performance of the actuator is delayed; c) the parameter adjustment is wrong; e) frame loss and frame skipping occur in communication; g) data record integrity is missing.
3) Fault elimination after implementation of improvement measures: a) the failure disappears; b) the failure is still; c) fault mitigation; d) the performance changes.
Other considerations in the verification:
1) regardless of the optimization verification method, part of the service life of the intelligent instrument is consumed in the verification process, and if the margin between the use stress and the damage stress is small, the verification should be considered to be stopped.
2) Design margins of the smart meter must be ascertained to ensure that the lack of functionality of the smart meter during verification is acceptable.
3) The validity of the verification is measured by the capability of fully exciting the function of the intelligent instrument and not excessively consuming the service life of the intelligent instrument, so that the potential fault of the intelligent instrument can be detected, and the intelligent instrument cannot be damaged or internally damaged.
4) The intelligent instrument belongs to a complex intelligent instrument and can be layered from low to high, so that the intelligent characteristic of the final intelligent instrument can be ensured.
5) The working limit and the damage limit of the intelligent instrument are different, and the most sensitive stress of the intelligent instrument is selected for verification according to the respective characteristics.
And (4) combining the verification data, adjusting parameters, and repeatedly verifying to form a final verification report.
Through test verification, the intelligent characteristics of the intelligent instrument are correctly evaluated, functional analysis is carried out, system improvement measures are mainly found out, technical approaches such as intelligent instrument design optimization, matched component and material optimization, production process improvement, inspection verification and the like are adopted, the applicability and the adaptability of the intelligent function are continuously improved, and the intelligent characteristic level of the intelligent instrument is improved.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (4)
1. A detection method suitable for intelligent characteristic verification of an intelligent instrument is characterized by comprising the following steps:
acquiring the intelligent characteristic of the intelligent instrument; the intelligent features include: perception, self-adaptation, self-diagnosis, digital communication, human-computer interaction;
determining a test scheme according to the intelligent characteristics; the test scheme comprises test indexes, test conditions, a test process, a tool, an instrument, test steps and contents to be recorded;
acquiring a plurality of scene cases; the scene case simulates the environmental conditions and the intelligent instrument function in a real production place;
judging whether a first scene case corresponding to the test scheme exists in the plurality of scene cases to obtain a first judgment result;
if the first judgment result indicates that a first scene case corresponding to the test scheme exists in the plurality of scene cases, determining the stability degree of the intelligent characteristic according to the first scene case; the determining the stability of the intelligent characteristic according to the first scene case specifically includes: determining a test result of the intelligent characteristic according to the first scene case; determining the stability degree of the intelligent characteristic according to the test result; the determining the test result of the intelligent characteristic according to the first scene case specifically includes: selecting a function combination corresponding to the intelligent characteristic according to the first scene case; determining a restriction condition according to the function combination; the restriction conditions comprise a function sequence, and an input range and an output range of the function signals; acquiring a history self-diagnosis record; the historical self-diagnosis records comprise fault types, temperature and vibration; determining the test result according to the restriction condition and the historical self-diagnosis record;
and if the first judgment result shows that the first scene case corresponding to the test scheme does not exist in the plurality of scene cases, modifying the test scheme.
2. The inspection method according to claim 1, after determining the test result based on the constraint condition and the historical self-diagnosis record, further comprising:
judging whether the test result oscillates to obtain a second judgment result;
if the second judgment result represents that the test result oscillates, adjusting the type and the magnitude of the input signal;
if the second judgment result indicates that the test result does not oscillate, determining the test result output by each function in the intelligent characteristic;
outputting a verification report according to a plurality of test results; the verification report comprises case function execution conditions, failure modes occurring in the verification process and failure elimination conditions after the implementation of improvement measures.
3. A detection system adapted for smart meter smart feature verification, comprising:
the intelligent characteristic acquisition module is used for acquiring the intelligent characteristics of the intelligent instrument; the intelligent features include: perception, self-adaptation, self-diagnosis, digital communication, human-computer interaction;
the test scheme determining module is used for determining a test scheme according to the intelligent characteristics; the test scheme comprises test indexes, test conditions, a test process, a tool, an instrument, test steps and contents to be recorded;
the scene case acquisition module is used for acquiring a plurality of scene cases; the scene case simulates the environmental conditions and the intelligent instrument function in a real production place;
the first judging module is used for judging whether a first scene case corresponding to the test scheme exists in the plurality of scene cases to obtain a first judging result;
the stability degree determining module is used for determining the stability degree of the intelligent characteristic according to the first scene case if the first judgment result shows that the first scene case corresponding to the test scheme exists in the plurality of scene cases; the stability determining module specifically includes: the test result determining unit is used for determining the test result of the intelligent characteristic according to the first scene case; a second stability degree determining unit, configured to determine a stability degree of the intelligent characteristic according to the test result; the test result determining unit specifically includes: a function combination selection subunit, configured to select a function combination corresponding to the intelligent characteristic according to the first scene case; a constraint condition determining subunit configured to determine a constraint condition from the functional combination; the restriction conditions comprise a function sequence, and an input range and an output range of the function signals; a history self-diagnosis record acquisition subunit operable to acquire a history self-diagnosis record; the historical self-diagnosis records comprise fault types, temperature and vibration; a test result determining subunit, configured to determine the test result according to the constraint condition and the history self-diagnosis record;
and the test scheme modification module is used for modifying the test scheme if the first judgment result shows that the first scene case corresponding to the test scheme does not exist in the plurality of scene cases.
4. The detection system of claim 3, further comprising:
the second judgment subunit is used for judging whether the test result oscillates or not to obtain a second judgment result;
an adjusting subunit, configured to adjust a type and a magnitude of an input signal if the second determination result indicates that the test result oscillates;
a test result determining subunit, configured to determine, if the second determination result indicates that the test result does not oscillate, a test result output by each function in the intelligent characteristic;
the verification report output subunit is used for outputting a verification report according to a plurality of test results; the verification report comprises case function execution conditions, failure modes occurring in the verification process and failure elimination conditions after the implementation of improvement measures.
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| CN112986256A (en) * | 2021-02-05 | 2021-06-18 | 机械工业仪器仪表综合技术经济研究所 | Multi-spectral-band photoelectric device combined industrial verification system and use method thereof |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10034877C1 (en) * | 2000-07-18 | 2001-10-11 | Siemens Ag | Valve position sensor characteristic matching method, evaluates positions indicated for alternate characteristics by comparison with reference oscillation for selection of characteristic with minimum error |
| CN103217186A (en) * | 2012-01-19 | 2013-07-24 | 因文西斯系统公司 | Self evaluating transimitter |
| CN103529377A (en) * | 2013-10-11 | 2014-01-22 | 国家电网公司 | Automatic testing system and method for intelligent transformer substation digital protection device |
| CN103748524A (en) * | 2011-03-31 | 2014-04-23 | Abb技术有限公司 | A method of engineering and diagnosing a field device and a system thereof |
| CN104483572A (en) * | 2014-12-19 | 2015-04-01 | 重庆川仪自动化股份有限公司 | Method, device and system for testing precision of valve positioner |
| CN106526360A (en) * | 2016-10-31 | 2017-03-22 | 国网福建省电力有限公司 | MMS remote regulation and control protection device-based test method |
-
2017
- 2017-11-15 CN CN201711130414.6A patent/CN107907764B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10034877C1 (en) * | 2000-07-18 | 2001-10-11 | Siemens Ag | Valve position sensor characteristic matching method, evaluates positions indicated for alternate characteristics by comparison with reference oscillation for selection of characteristic with minimum error |
| CN103748524A (en) * | 2011-03-31 | 2014-04-23 | Abb技术有限公司 | A method of engineering and diagnosing a field device and a system thereof |
| CN103217186A (en) * | 2012-01-19 | 2013-07-24 | 因文西斯系统公司 | Self evaluating transimitter |
| CN103529377A (en) * | 2013-10-11 | 2014-01-22 | 国家电网公司 | Automatic testing system and method for intelligent transformer substation digital protection device |
| CN104483572A (en) * | 2014-12-19 | 2015-04-01 | 重庆川仪自动化股份有限公司 | Method, device and system for testing precision of valve positioner |
| CN106526360A (en) * | 2016-10-31 | 2017-03-22 | 国网福建省电力有限公司 | MMS remote regulation and control protection device-based test method |
Non-Patent Citations (1)
| Title |
|---|
| 产品智能化的特征分析与结构框架;方毅芳等;《中国仪器仪表》;20171025(第10期);第3页 * |
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