CN108830318A - Quality detecting method, device, equipment and storage medium - Google Patents
Quality detecting method, device, equipment and storage medium Download PDFInfo
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- CN108830318A CN108830318A CN201810600341.0A CN201810600341A CN108830318A CN 108830318 A CN108830318 A CN 108830318A CN 201810600341 A CN201810600341 A CN 201810600341A CN 108830318 A CN108830318 A CN 108830318A
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Abstract
The embodiment of the present invention provides a quality testing method, device, equipment and storage medium.This method includes：By intelligent quality inspection system, obtain in needed quality detecting data respectively to the intelligent quality information of quality detecting data；From all described multiple to quality detecting data to be extracted in quality detecting data, obtain it is the multiple in quality detecting data respectively to the artificial quality information of quality detecting data；According to the artificial quality information to quality detecting data, whether the judgement intelligent quality information to quality detecting data is correct；It is incorrect described to quality detecting data according to intelligent quality information, optimize the intelligent quality inspection system.The present invention improves the accuracy rate of intelligent quality inspection.
Description
Technical field
The present invention relates to field of artificial intelligence more particularly to a quality testing method, device, equipment and storage mediums.
Background technique
With the continuous development of intelligent sound identification technology and natural language processing technique etc., client service center gradually starts to adopt
With the quality inspection mode of intelligent quality inspection.
In the prior art, quality inspection rule can be manually set in intelligent quality inspection system, and by intelligent quality inspection system according to matter
Inspection rule carries out full dose quality inspection.Compared to traditional artificial quality inspection, intelligent quality inspection can be realized all standing of quality inspection, in very great Cheng
Human resources are released on degree, are improved work efficiency.
But the problem that accuracy rate that intelligent quality inspection exists in the prior art is lower.
Summary of the invention
The embodiment of the present invention provides a quality testing method, device, equipment and storage medium, to solve intelligence in the prior art
The lower problem of the accuracy rate of energy quality inspection.
In a first aspect, the embodiment of the present invention provides a quality testing method, including：
By intelligent quality inspection system, obtain in needed quality detecting data respectively to the intelligent quality information of quality detecting data；
From all described multiple to quality detecting data to be extracted in quality detecting data, obtain it is the multiple in quality detecting data respectively to
The artificial quality information of quality detecting data；
According to the artificial quality information to quality detecting data, whether the judgement intelligent quality information to quality detecting data
Correctly；
It is incorrect described to quality detecting data according to intelligent quality information, optimize the intelligent quality inspection system.
Optionally, the intelligent quality information and the artificial quality information include：Quality inspection is as a result, the quality inspection result
For quality inspection score；
It is described according to the artificial quality information of quality detecting data, the judgement intelligent quality information to quality detecting data
It is whether correct, including：
The judgement difference degree to the quality inspection score in the intelligent quality information and artificial quality information of quality detecting data
Whether default difference degree is less than or equal to；
If the difference degree of the quality inspection score in the intelligent quality information and artificial quality information to quality detecting data is small
In or equal to the default difference degree, then the intelligent quality information to quality detecting data is correct；
If the difference degree of the quality inspection score in the intelligent quality information and artificial quality information to quality detecting data is big
In the default difference degree, then the intelligent quality information to quality detecting data is incorrect.
Optionally, the intelligent quality information and the artificial quality information include：Quality inspection is as a result, the quality inspection result
For quality inspection grade；
It is described according to the artificial quality information of quality detecting data, the judgement intelligent quality information to quality detecting data
It is whether correct, including：
Whether judgement is described identical to the quality inspection grade in the intelligent quality information and artificial quality information of quality detecting data；
If the intelligent quality information to quality detecting data is identical with the quality inspection grade in artificial quality information, it is described to
The intelligent quality information of quality detecting data is correct；
If the intelligent quality information to quality detecting data and quality inspection grade in artificial quality information are different, it is described to
The intelligent quality information of quality detecting data is incorrect.
Optionally, the intelligent quality information and the artificial quality information also include：It is corresponding with the quality inspection result
Result reason；
It is described according to intelligent quality information it is incorrect it is described optimize the intelligent quality inspection system to quality detecting data, including：
It is incorrect described to the result reason in the intelligent quality information of quality detecting data according to the intelligent quality information,
And the result reason in the artificial quality information to quality detecting data, optimize the intelligent quality inspection system.
Optionally, described from all described multiple to quality detecting data to be extracted in quality detecting data, including：
It is qualified respectively to press in quality detecting data from all quality inspection results to quality information intelligent in quality detecting data
Ratio is extracted according to first, is extracted to quality detecting data；
It is underproof respectively in quality detecting data from all quality inspection results to Intelligent self-checking result in quality detecting data,
Ratio is extracted according to second, is extracted to quality detecting data；
Wherein, described first ratio is extracted less than the second extraction ratio.
Optionally, it is described obtain it is the multiple in quality detecting data respectively to the artificial quality information of quality detecting data after, when
When quality detecting data exists simultaneously intelligent quality information and artificial quality information, the method also includes：
According to the first quality inspection score of the intelligent quality information to quality detecting data and the intelligent quality detecting data
Second quality inspection score of artificial quality information determines the final quality inspection score to quality detecting data.
Optionally, it is described according to the first quality inspection score of the intelligent quality information of quality detecting data and the intelligence
Second quality inspection score of the artificial quality information of energy quality detecting data determines the final quality inspection score to quality detecting data, including：
It is described to quality detecting data by the first quality inspection score of the intelligent quality information of quality detecting data, intelligent quality inspection weight
The second quality inspection score of artificial quality information, artificial quality inspection weight, determine the final quality inspection score to quality detecting data.
Second aspect, the embodiment of the present invention provide a kind of quality inspection device, including：
First obtains module, for obtaining in needed quality detecting data respectively to quality detecting data by intelligent quality inspection system
Intelligent quality information；
Second obtains module, for obtaining described more from all described multiple to quality detecting data to extract in quality detecting data
It is a in quality detecting data respectively to the artificial quality information of quality detecting data；
Judgment module, for according to the artificial quality information to quality detecting data, the judgement intelligence to quality detecting data
Whether energy quality information is correct；
Optimization module, for incorrect described to quality detecting data, the optimization intelligent quality inspection according to intelligent quality information
System.
Optionally, the intelligent quality information and the artificial quality information include：Quality inspection is as a result, the quality inspection result
For quality inspection score；
The judging module, is specifically used for：
The judgement difference degree to the quality inspection score in the intelligent quality information and artificial quality information of quality detecting data
Whether default difference degree is less than or equal to；
If the difference degree of the quality inspection score in the intelligent quality information and artificial quality information to quality detecting data is small
In or equal to the default difference degree, then the intelligent quality information to quality detecting data is correct；
If the difference degree of the quality inspection score in the intelligent quality information and artificial quality information to quality detecting data is big
In the default difference degree, then the intelligent quality information to quality detecting data is incorrect.
Optionally, the intelligent quality information and the artificial quality information include：Quality inspection is as a result, the quality inspection result
For quality inspection grade；
The judging module, is specifically used for：
Whether judgement is described identical to the quality inspection grade in the intelligent quality information and artificial quality information of quality detecting data；
If the intelligent quality information to quality detecting data is identical with the quality inspection grade in artificial quality information, it is described to
The intelligent quality information of quality detecting data is correct；
If the intelligent quality information to quality detecting data and quality inspection grade in artificial quality information are different, it is described to
The intelligent quality information of quality detecting data is incorrect.
Optionally, the intelligent quality information and the artificial quality information also include：It is corresponding with the quality inspection result
Result reason；
The optimization module, is specifically used for：
It is incorrect described to the result reason in the intelligent quality information of quality detecting data according to the intelligent quality information,
And the result reason in the artificial quality information to quality detecting data, optimize the intelligent quality inspection system.
Optionally, described second module is obtained, for from all described multiple to quality detecting data to be extracted in quality detecting data,
It specifically includes：
It is qualified respectively to press in quality detecting data from all quality inspection results to quality information intelligent in quality detecting data
Ratio is extracted according to first, is extracted to quality detecting data；
It is underproof respectively in quality detecting data from all quality inspection results to Intelligent self-checking result in quality detecting data,
Ratio is extracted according to second, is extracted to quality detecting data；
Wherein, described first ratio is extracted less than the second extraction ratio.
Optionally, described device further includes：Determining module, for when to quality detecting data exist simultaneously intelligent quality information and
When artificial quality information, according to the first quality inspection score of the intelligent quality information to quality detecting data and the intelligent matter
The second quality inspection score of the artificial quality information of data is examined, determines the final quality inspection score to quality detecting data.
Optionally, the determining module, specifically for will to the intelligent quality information of quality detecting data the first quality inspection score,
Intelligent quality inspection weight, the second quality inspection score of the artificial quality information to quality detecting data, artificial quality inspection weight, determine described in
Final quality inspection score to quality detecting data.
The third aspect, the embodiment of the present invention provide a kind of quality inspection equipment, including：
Processor and memory for storing computer instruction；The processor runs the computer instruction and executes
The above-mentioned described in any item methods of first aspect.
Fourth aspect, the embodiment of the present invention provide a kind of storage medium, are stored thereon with computer instruction, the computer
Instruction realizes the described in any item methods of above-mentioned first party when being executed by processor.
Quality detecting method, device, equipment and storage medium provided in an embodiment of the present invention, by from based on intelligent quality inspection system
In the needed quality detecting data for obtaining intelligence quality information, extraction is multiple to carry out artificial quality inspection to quality detecting data, obtains manually certainly
It examines information and judges whether the intelligent quality information to quality detecting data is correct, and root according to the artificial quality information to quality detecting data
Incorrect to quality detecting data, the Intelligent Optimal quality inspection system according to intelligent quality information, due to intelligent quality information it is incorrect to
Quality detecting data is able to reflect out defect existing for intelligent quality inspection system, therefore incorrect to quality inspection according to intelligent quality inspection result
After data optimize intelligent quality inspection system, the accuracy rate of intelligent quality inspection can be improved.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without any creative labor, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the flow chart of quality detecting method embodiment one provided in an embodiment of the present invention；
Fig. 2 is the flow chart of quality detecting method embodiment two provided in an embodiment of the present invention；
Fig. 3 is the schematic diagram of quality detecting method provided in an embodiment of the present invention；
Fig. 4 is the flow chart of quality detecting method embodiment three provided in an embodiment of the present invention；
Fig. 5 is the structural schematic diagram of quality inspection device embodiment provided in an embodiment of the present invention；
Fig. 6 is the structural schematic diagram of quality inspection equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
Fig. 1 is the flow chart of quality detecting method embodiment one provided in an embodiment of the present invention.The execution of the method for the present embodiment
Main body can be the quality inspection equipment of any required quality detecting data, such as can be computer.As shown in Figure 1, the method for the present embodiment
May include：
Step 101, by intelligent quality inspection system, obtain in needed quality detecting data respectively to the intelligent quality inspection of quality detecting data
Information.
In this step, the intelligence quality information, which is specifically as follows, treats quality detecting data progress matter by intelligent quality inspection system
After inspection, one of all information that can be obtained or a variety of.For obtaining to needed quality inspection by intelligent quality inspection system
Respectively the concrete mode to the intelligent quality information of quality detecting data, the present invention are simultaneously not construed as limiting in data.For example, the intelligence quality inspection
Quality inspection rule can be manually set in system, intelligent quality inspection system carries out full dose quality inspection according to the quality inspection rule set.Wherein,
Quality inspection rule for example may include：There is the keyword " you " of irregularity, detains 1 point；The tone is cold, detains 20 points；Beginning exists special
Determine Opening Sentences, adds 2 points etc..Optionally, the type to quality detecting data can be text, voice etc..
Step 102, it from all described multiple to quality detecting data to be extracted in quality detecting data, obtains the multiple to quality inspection number
Respectively to the artificial quality information of quality detecting data in.
In this step, optionally, it can be extracted from needed quality detecting data by artificial quality inspection system multiple to quality inspection number
According to, or can also by other systems, such as intelligent quality inspection system extracted from needed quality detecting data it is multiple to quality detecting data.
Optionally, multiple to quality detecting data when extracting, it needs to refer to when the intelligent quality information of quality detecting data, step 102 can be
After step 101；It is multiple to quality detecting data when extracting, without necessarily referring to when the intelligent quality information of quality detecting data, step 102
With step 101 can not no sequencing limitation.When by artificial quality inspection system refer to quality detecting data intelligence as a result, from institute
Need to be extracted in quality detecting data it is multiple when quality detecting data, it is described intelligence quality inspection system can say the respectively intelligent matter to quality detecting data
Inspection information is output to artificial quality inspection system.
The artificial quality information be specifically as follows by artificial quality inspection system treat quality detecting data carry out quality inspection after, energy
One of all information enough obtained are a variety of.For obtaining to the multiple to quality detecting data by artificial quality inspection system
In respectively the concrete mode to the artificial quality information of quality detecting data, the present invention are simultaneously not construed as limiting.For example, can will be to quality detecting data
It exports to user, and receives the artificial quality information that user's input waits for this quality detecting data.
Step 103, according to the artificial quality information to quality detecting data, the judgement intelligent quality inspection to quality detecting data
Whether information is correct.
In this step, specifically, can be by comparing in the artificial quality information and intelligent quality information to quality detecting data
Partial information or all information, to judge that this waits for whether the intelligent quality information of quality detecting data correct.For example, if to quality inspection
The artificial quality information of data is identical with intelligent quality information, then is somebody's turn to do correct to the intelligent quality information of quality detecting data；If
It is not exactly the same to the artificial quality information of quality detecting data and intelligent quality information, then it is somebody's turn to do the intelligent quality information to quality detecting data
It is incorrect.In another example if being greater than default similarity to the artificial quality information of quality detecting data and the similarity of intelligent quality information,
It is then somebody's turn to do correct to the intelligent quality information of quality detecting data；If the phase of artificial quality information and intelligent quality information to quality detecting data
It is less than or equal to default similarity like degree, then is somebody's turn to do incorrect to the intelligent quality information of quality detecting data.
Step 104, incorrect described to quality detecting data according to intelligent quality information, optimize the intelligent quality inspection system.
In this step, since intelligent quality information is incorrect to quality detecting data, it is able to reflect out intelligent quality inspection system and deposits
Defect, therefore can be incorrect to quality detecting data, Intelligent Optimal quality inspection system according to intelligent quality inspection result.Also, root
After the incorrect Intelligent Optimal quality inspection system to quality detecting data of intelligent quality inspection result, intelligent quality inspection system output can be improved
Intelligent quality information accuracy rate.For example, user can be shown to quality detecting data by intelligent quality information is incorrect, connect
It receives user and the optimal way that quality detecting data is determining and inputs, and the optimal way Intelligent Optimal matter inputted according to user is waited for according to this
Check system.
It should be noted that for the concrete mode for optimizing the intelligent quality inspection system, the present invention is simultaneously not construed as limiting.It is optional
, can the quality inspection rule to intelligent quality inspection system optimize.
In the present embodiment, by from the needed quality detecting data for obtaining intelligent quality information based on intelligent quality inspection system,
Extract it is multiple carry out artificial quality inspection to quality detecting data, obtain artificial self-test information, according to the artificial quality information to quality detecting data,
Judge whether the intelligent quality information to quality detecting data is correct, and incorrect to quality detecting data according to intelligent quality information, it is excellent
Change intelligent quality inspection system, since intelligent quality information is incorrect to quality detecting data, is able to reflect out intelligent quality inspection system and exists
Defect can be with therefore after being optimized to quality detecting data to intelligent quality inspection system according to intelligent quality inspection result is incorrect
Improve the accuracy rate of intelligent quality inspection.
Fig. 2 is the flow chart of quality detecting method embodiment two provided in an embodiment of the present invention.The present embodiment implementation shown in Fig. 1
On the basis of example, a kind of concrete implementation mode is essentially described.As shown in Fig. 2, the method for the present embodiment may include：
Step 201, by intelligent quality inspection system, obtain in needed quality detecting data respectively to the intelligent quality inspection of quality detecting data
Information, the intelligence quality information includes quality inspection result.
In this step, the quality inspection result is specifically as follows quality inspection score or quality inspection grade.Wherein, matter when hundred-mark system
Examine score for example can be 90 points, 70 points or 50 points etc., the quality inspection grade for example can for it is excellent, good, in, pass, fail
Etc..As shown in figure 3, described be specifically as follows to quality detecting data through media such as wechat, microblogging, phone, webpage chat, messages
The data that channel is got.As shown in figure 3, the intelligence quality inspection system can first to input to quality detecting data and business with
Road information carry out data processing, specifically, can by by wechat, microblogging, phone, webpage chat, message get to matter
Inspection data and business are associated with road information, and business for example may include the information such as mark, service type of attending a banquet with road information.
After association, analysis engine can analyze data according to business model, obtain intelligent quality information, and by intelligent matter
Inspection information is exported to artificial quality inspection system.Wherein, business model can be the corresponding Checking model of quality inspection rule, or pass through machine
The Checking model that device study generates.When the type of quality detecting data is voice, analysis engine can also be incited somebody to action by speech recognition
Sound-type to quality detecting data be converted to literal type to quality detecting data.
It step 202, is qualified respectively to quality inspection from all quality inspection results to quality information intelligent in quality detecting data
In data, ratio is extracted according to first and is extracted to quality detecting data, and from all described to Intelligent self-checking result in quality detecting data
Quality inspection result is underproof respectively to extract ratio according to second and extract to quality detecting data in quality detecting data.
In this step, when the quality inspection result is quality inspection score, and to quality inspection in the intelligent quality information of quality detecting data point
When number is greater than or equal to preset fraction, it is believed that quality inspection result is qualification；When the quality inspection result is quality inspection score, and to matter
When quality inspection score is less than preset fraction in the intelligent quality information of inspection data, it is believed that quality inspection result is unqualified.Wherein, with
For hundred-mark system quality inspection score, preset fraction can be 60 points.When the quality inspection result is quality inspection grade, and to quality detecting data
When quality inspection grade is greater than or equal to predetermined level in intelligent quality information, it is believed that quality inspection result is qualification；When the quality inspection
It as a result is quality inspection grade, and when quality inspection grade in the intelligent quality information of quality detecting data is less than predetermined level, it is believed that matter
It is unqualified for examining result.Wherein, by quality inspection grade include it is excellent, good, in, pass, fail for, predetermined level can be and
Lattice.
Wherein, described first ratio is extracted less than the second extraction ratio.Since quality inspection result is qualified or is not conformed to
Lattice are more important for contact staff, therefore quality inspection result is carried out to quality detecting data using high extraction ratio to be underproof
It extracts, and is being extracted to quality detecting data using low extraction ratio for qualification for quality inspection result, it can be in extraction to matter
In the case that the total amount of inspection data is certain, reduce the inaccuracy due to intelligent quality inspection system, and causes to should be quality inspection result
Qualified is underproof problem to quality detecting data quality inspection.Optionally, the second extraction ratio can be 100%.
As shown in figure 3, can judge whether the quality inspection result of intelligent quality information is qualified by artificial quality inspection system, further
, when qualification, ratio is extracted according to first and is extracted, when unqualified, extract ratio according to second and extract.
Step 203, by artificial quality inspection system, artificial quality inspection is carried out to quality detecting data to the multiple of acquisition are extracted, is obtained
It is the multiple to which, respectively to the artificial quality information of quality detecting data, the artificial quality information includes quality inspection result in quality detecting data.
It is similar with the quality inspection result in intelligent quality information in this step, the quality inspection result in the artificial quality information
It can be quality inspection score or quality inspection grade.Optionally, the quality inspection knot in the artificial quality information and the intelligent quality information
The type of fruit may be the same or different.For example, the quality inspection result in artificial quality information and the intelligent quality information is equal
For quality inspection score or quality inspection grade；Alternatively, the quality inspection result in artificial quality information is quality inspection score, in intelligent quality information
Quality inspection result is quality inspection grade.It, can be to being drawn into as shown in figure 3, be drawn into after quality detecting data in artificial quality inspection system
Artificial quality inspection is carried out to quality detecting data, and records the artificial quality information got by artificial quality inspection.
Step 204, according to the artificial quality information to quality detecting data, the judgement intelligent quality inspection to quality detecting data
Whether information is correct.
In this step, optionally, when the quality inspection result in the intelligent quality information and the artificial quality information is
When quality inspection score, step 204 be can specifically include：The judgement intelligent quality information and artificial quality information to quality detecting data
In the difference degree of quality inspection score whether be less than or equal to default difference degree；If the intelligent quality inspection to quality detecting data is believed
The difference degree of quality inspection score in breath and artificial quality information is less than or equal to the default difference degree, then described to quality inspection
The intelligent quality information of data is correct；If the quality inspection point in the intelligent quality information and artificial quality information to quality detecting data
Several difference degrees is greater than the default difference degree, then the intelligent quality information to quality detecting data is incorrect.
Optionally, when the quality inspection result in the intelligent quality information and the artificial quality information is quality inspection grade
When, step 204 can specifically include：Judgement is described to the quality inspection in the intelligent quality information and artificial quality information of quality detecting data
Whether grade is identical；If the intelligent quality information to quality detecting data is identical with the quality inspection grade in artificial quality information,
The intelligent quality information to quality detecting data is correct；In the intelligent quality information and artificial quality information to quality detecting data
Quality inspection grade it is different, then the intelligent quality information to quality detecting data is incorrect.
Optionally, when the quality inspection result of the intelligent quality information to quality detecting data is quality inspection grade, and artificial quality information
Quality inspection result be quality inspection score when, step 204 can specifically include：By the quality inspection knot to the artificial quality information of quality detecting data
Fruit is converted to quality inspection grade by quality inspection score, and judgement is described to be converted to the intelligent quality information of quality detecting data and artificial quality information
Whether the quality inspection grade of acquisition is identical；If described convert acquisition to the intelligent quality information of quality detecting data and artificial quality information
Quality inspection grade is identical, then the intelligent quality information to quality detecting data is correct；The intelligent quality information to quality detecting data
Different with the quality inspection grade that the conversion of artificial quality information obtains, then the intelligent quality information to quality detecting data is incorrect.
It should be noted that when the quality inspection result of the intelligent quality information to quality detecting data is quality inspection score, and artificial matter
The concrete mode of step 204, the matter with the intelligent quality information to quality detecting data when the quality inspection result for examining information is quality inspection grade
Inspection result is quality inspection grade, and when quality inspection result of artificial quality information is quality inspection score is similar, and details are not described herein.
As shown in figure 3, after artificial quality inspection system recorder work quality information, it can be determined that the intelligence to quality detecting data
Whether quality information is correct.When intelligent quality information is correct, terminate；When intelligent quality information is incorrect, to according to matter
Inspection data optimize the business model of intelligent quality inspection system.
Step 205, incorrect described to quality detecting data according to intelligent quality information, optimize the intelligent quality inspection system.
In this step, optionally, the intelligence quality information and the artificial quality information are also included：With the quality inspection
As a result corresponding result reason.Step 205 can specifically include：It is incorrect described to quality inspection according to the intelligent quality information
The result reason in result reason and the artificial quality information to quality detecting data in the intelligent quality information of data,
Optimize the intelligent quality inspection system.For example, indicating the key there are some irregularity in the result reason of artificial quality information
Word detains 1 point, and does not indicate the keyword there are the irregularity in the result information of intelligent quality information, can determine intelligence
There are missing inspections for the keyword for quality inspection system, and further according to the inspection optimization intelligence quality inspection system of the keyword.
In the present embodiment, by being each of qualification from all quality inspection results to quality information intelligent in quality detecting data
To in quality detecting data, ratio is extracted according to first and is extracted to quality detecting data, and from all described to Intelligent self-checking in quality detecting data
As a result quality inspection result is underproof respectively in quality detecting data, extracts ratio according to second and extracts to quality detecting data, described the
One, which extracts ratio, is less than the second extraction ratio, reduces the inaccuracy due to intelligent quality inspection system, and causes quality inspection
As a result should be qualification is underproof problem to quality detecting data quality inspection.
Fig. 4 is the flow chart of quality detecting method embodiment three provided in an embodiment of the present invention.The present embodiment is shown in Fig. 1, Fig. 2
On the basis of embodiment, essentially describe when one kind when quality detecting data has intelligent quality information and artificial quality information can
The implementation of choosing.As shown in figure 4, the method for the present embodiment may include：
Step 401, by intelligent quality inspection system, obtain in needed quality detecting data respectively to the intelligent quality inspection of quality detecting data
Information.
Step 402, from all described multiple to quality detecting data to be extracted in quality detecting data, and by artificial quality inspection system,
Carry out artificial quality inspection to quality detecting data to the multiple, obtain it is the multiple in quality detecting data respectively to the artificial matter of quality detecting data
Examine information.
It should be noted that step 401- step 402 and step 101- step 102 or step 201- step 202 class
Seemingly, details are not described herein.
Step 403, when quality detecting data has intelligent quality information and artificial quality information, according to described to quality inspection number
According to intelligent quality information the first quality inspection score and the intelligent quality detecting data artificial quality information the second quality inspection point
Number determines the final quality inspection score to quality detecting data.
In this step, optionally, step 403 be can specifically include：By the intelligent quality information to quality detecting data
First quality inspection score, it is average with the second quality inspection score of the artificial quality information of the intelligent quality detecting data, it obtains described to matter
Examine the final quality inspection score of data；Alternatively, by the first quality inspection score of the intelligent quality information of quality detecting data, intelligent quality inspection power
Weight, the second quality inspection score of the artificial quality information to quality detecting data, artificial quality inspection weight determine described to quality detecting data
Final quality inspection score.It should be noted that for it is a according to the first quality inspection score, intelligent quality inspection weight, the second quality inspection score,
Intelligent quality inspection weight determines that the concrete mode of final quality inspection score, the present invention are simultaneously not construed as limiting.For example, can will be to quality inspection number
According to intelligent quality information the first quality inspection score multiplied by intelligent quality inspection weight, with the artificial quality information to quality detecting data
Second between score multiplied by the sum of artificial quality inspection weight, as the final quality inspection score to quality detecting data.
It, can be more quasi- by the intelligent quality information that intelligent quality inspection system obtains with continuing to optimize for intelligent quality inspection system
Really.It therefore, can continuing to optimize with intelligent quality inspection system, the intelligent quality inspection weight of increase and/or the artificial quality inspection weight of reduction.
Optionally, the optimization number of the intelligent quality inspection system is more, and the intelligence quality inspection weight is bigger；And/or the intelligent quality inspection
The optimization number of system is more, and the artificial quality inspection weight is smaller.Increase by 100 times for example, optimization number is every, it can be by intelligent matter
It examines weight and increases by 1.
Similar, above-mentioned steps 103- step 104 or step 203- step 205 can be executed, after step 403 with right
Intelligent quality inspection system optimizes.
In the present embodiment, by when quality detecting data has intelligent quality information and artificial quality information, according to described
The of the artificial quality information of first quality inspection score of the intelligent quality information to quality detecting data and the intelligent quality detecting data
Two quality inspection scores determine the final quality inspection score to quality detecting data, so that the final quality inspection score to quality detecting data is more
Accurately.
Fig. 5 is the structural schematic diagram of quality inspection device embodiment provided in an embodiment of the present invention, device provided in this embodiment
It can be applied in above method embodiment.As shown in figure 5, the device of the present embodiment may include：First acquisition module 501,
Second obtains module 502, judgment module 503 and optimization module 504.
Wherein, first module 501 is obtained, for obtaining in needed quality detecting data respectively to matter by intelligent quality inspection system
Examine the intelligent quality information of data；
Second obtains module 502, for from all described multiple to quality detecting data to extract in quality detecting data, and passes through people
Working medium check system carries out artificial quality inspection to quality detecting data to the multiple, obtain it is the multiple in quality detecting data respectively to quality inspection
The artificial quality information of data；
Judgment module 503, for according to the artificial quality information to quality detecting data, judgement to be described to quality detecting data
Whether intelligent quality information is correct；
Optimization module 504, for incorrect described to quality detecting data, the optimization intelligent matter according to intelligent quality information
Check system.
Optionally, the intelligent quality information and the artificial quality information include：Quality inspection is as a result, the quality inspection result
For quality inspection score；
Judging module 503, is specifically used for：
The judgement difference degree to the quality inspection score in the intelligent quality information and artificial quality information of quality detecting data
Whether default difference degree is less than or equal to；
If the difference degree of the quality inspection score in the intelligent quality information and artificial quality information to quality detecting data is small
In or equal to the default difference degree, then the intelligent quality information to quality detecting data is correct；
If the difference degree of the quality inspection score in the intelligent quality information and artificial quality information to quality detecting data is big
In the default difference degree, then the intelligent quality information to quality detecting data is incorrect.
Optionally, the intelligent quality information and the artificial quality information include：Quality inspection is as a result, the quality inspection result
For quality inspection grade；
Judging module 503, is specifically used for：
Whether judgement is described identical to the quality inspection grade in the intelligent quality information and artificial quality information of quality detecting data；
If the intelligent quality information to quality detecting data is identical with the quality inspection grade in artificial quality information, it is described to
The intelligent quality information of quality detecting data is correct；
If the intelligent quality information to quality detecting data and quality inspection grade in artificial quality information are different, it is described to
The intelligent quality information of quality detecting data is incorrect.
Optionally, the intelligent quality information and the artificial quality information also include：It is corresponding with the quality inspection result
Result reason；
Optimization module 504, is specifically used for：
It is incorrect described to the result reason in the intelligent quality information of quality detecting data according to the intelligent quality information,
And the result reason in the artificial quality information to quality detecting data, optimize the intelligent quality inspection system.
Optionally, second module 502 is obtained, for from all described multiple to quality detecting data to be extracted in quality detecting data,
It specifically includes：
It is qualified respectively to press in quality detecting data from all quality inspection results to quality information intelligent in quality detecting data
Ratio is extracted according to first, is extracted to quality detecting data；
It is underproof respectively in quality detecting data from all quality inspection results to Intelligent self-checking result in quality detecting data,
Ratio is extracted according to second, is extracted to quality detecting data；
Wherein, described first ratio is extracted less than the second extraction ratio.
Optionally, the device of the present embodiment further includes：Determining module 505 exists simultaneously intelligence to quality detecting data for working as
When quality information and artificial quality information, according to the first quality inspection score of the intelligent quality information to quality detecting data, and
Second quality inspection score of the artificial quality information of the intelligence quality detecting data, determines the final quality inspection to quality detecting data point
Number.
Optionally, determining module 505, specifically for will to the intelligent quality information of quality detecting data the first quality inspection score,
Intelligent quality inspection weight, the second quality inspection score of the artificial quality information to quality detecting data, artificial quality inspection weight, determine described in
Final quality inspection score to quality detecting data.
Optionally, the optimization number of the intelligent quality inspection system is more, and the intelligence quality inspection weight is bigger；And/or it is described
The optimization number of intelligent quality inspection system is more, and the artificial quality inspection weight is smaller.
The device of the present embodiment can be used for executing the technical solution of above-mentioned Fig. 1, Fig. 2, embodiment illustrated in fig. 4, realize
Principle is similar with technical effect, and details are not described herein again.
Fig. 6 is the structural schematic diagram of quality inspection equipment provided in an embodiment of the present invention, as shown in fig. 6, the client can wrap
It includes：Processor 601 and memory 602 for storing computer instruction.
Wherein, processor 601 runs the computer instruction and executes following methods：
By intelligent quality inspection system, obtain in needed quality detecting data respectively to the intelligent quality information of quality detecting data；
From all described multiple to quality detecting data to be extracted in quality detecting data, obtain it is the multiple in quality detecting data respectively to
The artificial quality information of quality detecting data；
According to the artificial quality information to quality detecting data, whether the judgement intelligent quality information to quality detecting data
Correctly；
It is incorrect described to quality detecting data according to intelligent quality information, optimize the intelligent quality inspection system.
Optionally, the intelligent quality information and the artificial quality information include：Quality inspection is as a result, the quality inspection result
For quality inspection score；
It is described according to the artificial quality information of quality detecting data, the judgement intelligent quality information to quality detecting data
It is whether correct, including：
The judgement difference degree to the quality inspection score in the intelligent quality information and artificial quality information of quality detecting data
Whether default difference degree is less than or equal to；
If the difference degree of the quality inspection score in the intelligent quality information and artificial quality information to quality detecting data is small
In or equal to the default difference degree, then the intelligent quality information to quality detecting data is correct；
If the difference degree of the quality inspection score in the intelligent quality information and artificial quality information to quality detecting data is big
In the default difference degree, then the intelligent quality information to quality detecting data is incorrect.
Optionally, the intelligent quality information and the artificial quality information include：Quality inspection is as a result, the quality inspection result
For quality inspection grade；
It is described according to the artificial quality information of quality detecting data, the judgement intelligent quality information to quality detecting data
It is whether correct, including：
Whether judgement is described identical to the quality inspection grade in the intelligent quality information and artificial quality information of quality detecting data；
If the intelligent quality information to quality detecting data is identical with the quality inspection grade in artificial quality information, it is described to
The intelligent quality information of quality detecting data is correct；
If the intelligent quality information to quality detecting data and quality inspection grade in artificial quality information are different, it is described to
The intelligent quality information of quality detecting data is incorrect.
Optionally, the intelligent quality information and the artificial quality information also include：It is corresponding with the quality inspection result
Result reason；
It is described according to intelligent quality information it is incorrect it is described optimize the intelligent quality inspection system to quality detecting data, including：
It is incorrect described to the result reason in the intelligent quality information of quality detecting data according to the intelligent quality information,
And the result reason in the artificial quality information to quality detecting data, optimize the intelligent quality inspection system.
Optionally, described from all described multiple to quality detecting data to be extracted in quality detecting data, including：
It is qualified respectively to press in quality detecting data from all quality inspection results to quality information intelligent in quality detecting data
Ratio is extracted according to first, is extracted to quality detecting data；
It is underproof respectively in quality detecting data from all quality inspection results to Intelligent self-checking result in quality detecting data,
Ratio is extracted according to second, is extracted to quality detecting data；
Wherein, described first ratio is extracted less than the second extraction ratio.
Optionally, it is described obtain it is the multiple in quality detecting data respectively to the artificial quality information of quality detecting data after, when
When quality detecting data exists simultaneously intelligent quality information and artificial quality information, the method also includes：
According to the first quality inspection score of the intelligent quality information to quality detecting data and the intelligent quality detecting data
Second quality inspection score of artificial quality information determines the final quality inspection score to quality detecting data.
Optionally, it is described according to the first quality inspection score of the intelligent quality information of quality detecting data and the intelligence
Second quality inspection score of the artificial quality information of energy quality detecting data determines the final quality inspection score to quality detecting data, including：
It is described to quality detecting data by the first quality inspection score of the intelligent quality information of quality detecting data, intelligent quality inspection weight
The second quality inspection score of artificial quality information, artificial quality inspection weight, determine the final quality inspection score to quality detecting data.
Optionally, the optimization number of the intelligent quality inspection system is more, and the intelligence quality inspection weight is bigger；And/or it is described
The optimization number of intelligent quality inspection system is more, and the artificial quality inspection weight is smaller.
The embodiment of the present invention also provides a kind of storage medium, when the instruction in the storage medium is by the processor of quality inspection equipment
When execution, so that quality inspection equipment is able to carry out a quality testing method, this method includes：
By intelligent quality inspection system, obtain in needed quality detecting data respectively to the intelligent quality information of quality detecting data；
From all described multiple to quality detecting data to be extracted in quality detecting data, obtain it is the multiple in quality detecting data respectively to
The artificial quality information of quality detecting data；
According to the artificial quality information to quality detecting data, whether the judgement intelligent quality information to quality detecting data
Correctly；
It is incorrect described to quality detecting data according to intelligent quality information, optimize the intelligent quality inspection system.
Optionally, the intelligent quality information and the artificial quality information include：Quality inspection is as a result, the quality inspection result
For quality inspection score；
It is described according to the artificial quality information of quality detecting data, the judgement intelligent quality information to quality detecting data
It is whether correct, including：
The judgement difference degree to the quality inspection score in the intelligent quality information and artificial quality information of quality detecting data
Whether default difference degree is less than or equal to；
If the difference degree of the quality inspection score in the intelligent quality information and artificial quality information to quality detecting data is small
In or equal to the default difference degree, then the intelligent quality information to quality detecting data is correct；
If the difference degree of the quality inspection score in the intelligent quality information and artificial quality information to quality detecting data is big
In the default difference degree, then the intelligent quality information to quality detecting data is incorrect.
Optionally, the intelligent quality information and the artificial quality information include：Quality inspection is as a result, the quality inspection result
For quality inspection grade；
It is described according to the artificial quality information of quality detecting data, the judgement intelligent quality information to quality detecting data
It is whether correct, including：
Whether judgement is described identical to the quality inspection grade in the intelligent quality information and artificial quality information of quality detecting data；
If the intelligent quality information to quality detecting data is identical with the quality inspection grade in artificial quality information, it is described to
The intelligent quality information of quality detecting data is correct；
If the intelligent quality information to quality detecting data and quality inspection grade in artificial quality information are different, it is described to
The intelligent quality information of quality detecting data is incorrect.
Optionally, the intelligent quality information and the artificial quality information also include：It is corresponding with the quality inspection result
Result reason；
It is described according to intelligent quality information it is incorrect it is described optimize the intelligent quality inspection system to quality detecting data, including：
It is incorrect described to the result reason in the intelligent quality information of quality detecting data according to the intelligent quality information,
And the result reason in the artificial quality information to quality detecting data, optimize the intelligent quality inspection system.
Optionally, described from all described multiple to quality detecting data to be extracted in quality detecting data, including：
It is qualified respectively to press in quality detecting data from all quality inspection results to quality information intelligent in quality detecting data
Ratio is extracted according to first, is extracted to quality detecting data；
It is underproof respectively in quality detecting data from all quality inspection results to Intelligent self-checking result in quality detecting data,
Ratio is extracted according to second, is extracted to quality detecting data；
Wherein, described first ratio is extracted less than the second extraction ratio.
Optionally, it is described obtain it is the multiple in quality detecting data respectively to the artificial quality information of quality detecting data after, when
When quality detecting data exists simultaneously intelligent quality information and artificial quality information, the method also includes：
According to the first quality inspection score of the intelligent quality information to quality detecting data and the intelligent quality detecting data
Second quality inspection score of artificial quality information determines the final quality inspection score to quality detecting data.
Optionally, it is described according to the first quality inspection score of the intelligent quality information of quality detecting data and the intelligence
Second quality inspection score of the artificial quality information of energy quality detecting data determines the final quality inspection score to quality detecting data, including：
It is described to quality detecting data by the first quality inspection score of the intelligent quality information of quality detecting data, intelligent quality inspection weight
The second quality inspection score of artificial quality information, artificial quality inspection weight, determine the final quality inspection score to quality detecting data.
Optionally, the optimization number of the intelligent quality inspection system is more, and the intelligence quality inspection weight is bigger；And/or it is described
The optimization number of intelligent quality inspection system is more, and the artificial quality inspection weight is smaller.
Those of ordinary skill in the art will appreciate that：Realize that all or part of the steps of above-mentioned each method embodiment can lead to
The relevant hardware of program instruction is crossed to complete.Program above-mentioned can be stored in a computer readable storage medium.The journey
When being executed, execution includes the steps that above-mentioned each method embodiment to sequence；And storage medium above-mentioned includes：ROM, RAM, magnetic disk or
The various media that can store program code such as person's CD.
Finally it should be noted that：The above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Present invention has been described in detail with reference to the aforementioned embodiments for pipe, those skilled in the art should understand that：Its according to
So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into
Row equivalent replacement；And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme.
Claims (10)
1. a quality testing method, which is characterized in that including：
By intelligent quality inspection system, obtain in needed quality detecting data respectively to the intelligent quality information of quality detecting data；
From all described multiple to quality detecting data to be extracted in quality detecting data, obtain it is the multiple in quality detecting data respectively to quality inspection
The artificial quality information of data；
According to the artificial quality information to quality detecting data, just whether the judgement intelligent quality information to quality detecting data
Really；
It is incorrect described to quality detecting data according to intelligent quality information, optimize the intelligent quality inspection system.
2. the method according to claim 1, wherein the intelligence quality information and the artificial quality information are equal
Including：Quality inspection is as a result, the quality inspection result is quality inspection score；
It is described according to the artificial quality information of quality detecting data, whether the judgement intelligent quality information to quality detecting data
Correctly, including：
Whether the judgement difference degree to the quality inspection score in the intelligent quality information and artificial quality information of quality detecting data
Less than or equal to default difference degree；
If the difference degree of the quality inspection score in the intelligent quality information and artificial quality information to quality detecting data be less than or
Equal to the default difference degree, then the intelligent quality information to quality detecting data is correct；
If the difference degree of the quality inspection score in the intelligent quality information and artificial quality information to quality detecting data is greater than institute
Default difference degree is stated, then the intelligent quality information to quality detecting data is incorrect.
3. the method according to claim 1, wherein the intelligence quality information and the artificial quality information are equal
Including：Quality inspection is as a result, the quality inspection result is quality inspection grade；
It is described according to the artificial quality information of quality detecting data, whether the judgement intelligent quality information to quality detecting data
Correctly, including：
Whether judgement is described identical to the quality inspection grade in the intelligent quality information and artificial quality information of quality detecting data；
It is described to quality inspection if the intelligent quality information to quality detecting data is identical with the quality inspection grade in artificial quality information
The intelligent quality information of data is correct；
It is described to quality inspection if the intelligent quality information to quality detecting data is different with the quality inspection grade in artificial quality information
The intelligent quality information of data is incorrect.
4. according to the method in claim 2 or 3, which is characterized in that the intelligence quality information and the artificial quality inspection letter
Breath also includes：Result reason corresponding with the quality inspection result；
It is described according to intelligent quality information it is incorrect it is described optimize the intelligent quality inspection system to quality detecting data, including：
It is incorrect described to the result reason in the intelligent quality information of quality detecting data according to the intelligent quality information, and
Result reason in the artificial quality information to quality detecting data optimizes the intelligent quality inspection system.
5. according to the method described in claim 4, it is characterized in that, it is described from it is all it is described to extracted in quality detecting data it is multiple to
Quality detecting data, including：
It is qualified respectively in quality detecting data from all quality inspection results to quality information intelligent in quality detecting data, according to the
One extracts ratio, extracts to quality detecting data；
It is underproof respectively in quality detecting data from all quality inspection results to Intelligent self-checking result in quality detecting data, according to
Second extracts ratio, extracts to quality detecting data；
Wherein, described first ratio is extracted less than the second extraction ratio.
6. according to the method described in claim 2, it is characterized in that, it is described obtain it is the multiple in quality detecting data respectively to quality inspection
It is described when quality detecting data exists simultaneously intelligent quality information and artificial quality information after the artificial quality information of data
Method further includes：
According to the artificial of the first quality inspection score of the intelligent quality information to quality detecting data and the intelligent quality detecting data
Second quality inspection score of quality information determines the final quality inspection score to quality detecting data.
7. according to the method described in claim 6, it is characterized in that, it is described according to the intelligent quality information of quality detecting data
The first quality inspection score and the intelligent quality detecting data artificial quality information the second quality inspection score, determine described to matter
The final quality inspection score of data is examined, including：
It will be to the first quality inspection score of the intelligent quality information of quality detecting data, intelligent quality inspection weight, the people to quality detecting data
Second quality inspection score of work quality information, artificial quality inspection weight determine the final quality inspection score to quality detecting data.
8. a kind of quality inspection device, which is characterized in that including：
First obtains module, for obtaining in needed quality detecting data respectively to the intelligence of quality detecting data by intelligent quality inspection system
Quality information；
Second obtains module, for from all described multiple to quality detecting data to be extracted in quality detecting data, obtain it is the multiple to
Respectively to the artificial quality information of quality detecting data in quality detecting data；
Judgment module, for according to the artificial quality information to quality detecting data, the judgement intelligent matter to quality detecting data
Whether correct examine information；
Optimization module, for incorrect described to quality detecting data, the optimization intelligent quality inspection system according to intelligent quality information.
9. a kind of quality inspection equipment, which is characterized in that including：
Processor and memory for storing computer instruction；The processor runs the computer instruction perform claim
It is required that the described in any item methods of 1-7.
10. a kind of storage medium, is stored thereon with computer instruction, which is characterized in that the computer instruction is held by processor
Claim 1-7 described in any item methods are realized when row.
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Application publication date: 20181116 |