CN117348576A - Intelligent control system and method applied to test sorting machine - Google Patents
Intelligent control system and method applied to test sorting machine Download PDFInfo
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- 238000012360 testing method Methods 0.000 title claims abstract description 146
- 238000000034 method Methods 0.000 title claims abstract description 51
- 230000002452 interceptive effect Effects 0.000 claims abstract description 67
- 230000035945 sensitivity Effects 0.000 claims abstract description 31
- 238000011084 recovery Methods 0.000 claims abstract description 28
- 230000007246 mechanism Effects 0.000 claims abstract description 27
- 230000004044 response Effects 0.000 claims description 26
- 230000008569 process Effects 0.000 claims description 25
- 238000012216 screening Methods 0.000 claims description 21
- 238000009960 carding Methods 0.000 claims description 15
- 238000011156 evaluation Methods 0.000 claims description 15
- 230000007704 transition Effects 0.000 claims description 15
- 230000000977 initiatory effect Effects 0.000 claims description 10
- 238000012544 monitoring process Methods 0.000 claims description 9
- 230000009467 reduction Effects 0.000 claims description 8
- 230000007423 decrease Effects 0.000 claims description 7
- 238000009826 distribution Methods 0.000 claims description 6
- 230000003993 interaction Effects 0.000 claims description 4
- 238000000605 extraction Methods 0.000 claims description 3
- 239000004576 sand Substances 0.000 claims 1
- 229910052715 tantalum Inorganic materials 0.000 description 7
- GUVRBAGPIYLISA-UHFFFAOYSA-N tantalum atom Chemical compound [Ta] GUVRBAGPIYLISA-UHFFFAOYSA-N 0.000 description 7
- 239000003990 capacitor Substances 0.000 description 5
- 230000009471 action Effects 0.000 description 4
- 230000002950 deficient Effects 0.000 description 2
- 238000007599 discharging Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000000926 separation method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
- B07C5/344—Sorting according to other particular properties according to electric or electromagnetic properties
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Testing Of Individual Semiconductor Devices (AREA)
Abstract
The invention relates to the technical field of intelligent control of equipment, in particular to an intelligent control system and method applied to a test sorting machine, comprising the steps of judging and identifying characteristic intervention instructions which cause interruption of the workflow of any control operation instruction, and evaluating intervention interruption indexes of each characteristic intervention instruction on the any control operation instruction; the recovery efficiency of any control operation instruction after the workflow is interrupted due to the influence of each characteristic intervention instruction is evaluated, and the intervention interruption index of each characteristic intervention instruction is combined to screen out a target intervention instruction for any control operation instruction; when the interactive operation sensitivity is reduced in the touch panel of the test separator, capturing characteristic information of the operation environment of the test separator to obtain a reference judgment condition range in a misoperation early warning mechanism; and respectively starting misoperation protection for each control operation instruction which is currently executed by the test handler.
Description
Technical Field
The invention relates to the technical field of intelligent control of equipment, in particular to an intelligent control system and method applied to a test sorting machine.
Background
The main mechanism of the tantalum capacitance test separator comprises: the automatic alignment feeding mechanism, the feeding separation mechanism, the indexing mechanism, the feeding direction testing mechanism, the electrical property testing mechanism, the discharging device, the vacuum system, the control system and the PC data acquisition mechanism; the specific workflow thereof generally comprises: the tantalum capacitor products are put into a hopper, enter a straight rail after being screened by a vibrating disc, are sucked into a disc opening of an index disc by a separating device, are automatically discharged in a classified mode through short circuit, surge impact, charge and discharge, residual voltage and other tests, are classified according to test results, and are stored, statistically analyzed and output.
The touch panel of the tantalum capacitor test sorting machine is generally capable of controlling the test sorting machine to execute production speed, real-time counting of the number of good products, the number of defective products and the like, and various easy-to-wear parts such as: the stop reminding function when the service life times of the dividing disc, the separating needle, the testing terminal and the like are preset and the service life arrives; factors influencing the interactive experience between the user and the test handler not only require the function setting operation distribution on the interactive page to conform to the usual thinking habit of people, but also the operation performance of the touch panel itself is a great influencing factor.
Disclosure of Invention
The invention aims to provide an intelligent control system and method applied to a test handler, so as to solve the problems in the background art.
In order to solve the technical problems, the invention provides the following technical scheme: an intelligent control method applied to a test handler, the method comprising:
step S1: capturing each interactive operation interface on a touch panel of the test handler, and performing state supervision on the whole process of executing each control operation instruction initiated by a user based on the interactive operation interface by the test handler; the test separator is a tantalum capacitor test separator, and the main mechanism of the tantalum capacitor test separator comprises a vibration feeding system, a feeding separation system, a central turntable unit, a test system, a classification discharge unit and the like; the specific working flow is as follows: automatically feeding the tantalum capacitor to a circular vibration disc through funnel vibration, conveying products to a direct vibration guide rail after the vibration disc vibrates to divide the front face and the back face of the products in an array mode and the designated direction, conveying the products to a rotary table one by one through a separating device, and sequentially testing the products in the feeding direction in the rotation process of the rotary table; electrical property test, namely sorting and discharging good products and defective products according to test results;
step S2: distributing information carding is carried out on interrupted events which occur in the process of executing any control operation instruction by the test sorting machine, judging and identifying characteristic intervention instructions which cause interruption of the working flow of the any control operation instruction are carried out, and the intervention interruption index of each characteristic intervention instruction on the any control operation instruction is evaluated;
step S3: the recovery efficiency of the random control operation instruction after the workflow is interrupted due to the influence of each characteristic intervention instruction is evaluated, and the target intervention instruction is screened out from the characteristic intervention instruction range of the random control operation instruction by combining the intervention interruption index of each characteristic intervention instruction;
step S4: when the interactive operation sensitivity is reduced in the touch panel of the test separator, capturing characteristic information of the operation environment of the test separator to obtain a reference judgment condition range in a misoperation early warning mechanism;
step S5: the running environment of the current test separator is monitored in real time, and when any characteristic information within the range of the reference judgment condition is captured, misoperation protection is started for each control operation instruction which is being executed by the current test separator.
Preferably, step S2 includes:
step S2-1: capturing the maximum execution response transition time spent on any control operation instruction from the initiation of the any control operation instruction by the user based on the interactive operation interface to the initiation of the execution of the corresponding workflow by the test handler; capturing corresponding time stamps each time when the workflow is interrupted in the process of executing the workflow corresponding to any control operation instruction by the test handler;
step S2-2: setting the maximum execution response transition time length of a certain control operation instruction A as T (A), and setting the maximum execution response transition time length of a certain control operation instruction B as T (B); if a certain control operation instruction B is initiated by a user based on an interactive operation interface tr in the process of executing a workflow a corresponding to the certain control operation instruction A by the test handler, acquiring a reference intervention time range [ tr, tr+T (B) ] of the certain control operation instruction B; wherein, the reference intervention time range [ tr, tr+T (B) ] starts from the initiation time of a certain control operation instruction B, and the latest response start time of the workflow corresponding to the certain control operation instruction B is stopped, so that the function occupation preparation process of the certain control operation instruction B on the test handler is exactly represented; when the workflow a is interrupted at a certain time, the corresponding timestamp tf meets tf epsilon [ tr, tr+T (B) ], a certain control operation instruction B is judged to be a characteristic intervention instruction of the current workflow interruption of the certain control operation instruction A, and when the current workflow interruption of the certain control operation instruction A occurs, the intervention response efficiency alpha= (tf-tr)/T (B) of the certain control operation instruction B to the certain control operation instruction A is evaluated; the intervention response efficiency is a time interval which is positioned in a reference intervention time range [ tr, tr+T (B) ] and is used for evaluating a time stamp tf corresponding to the interruption of the workflow a in a certain occurrence;
step S2-3: acquiring total times M of interruption of a workflow a corresponding to a certain control operation instruction A in all historical execution records of the test sorting machine for executing the certain control operation instruction A; acquiring the total number n of characteristic intervention instructions of which the control operation instruction B is judged to cause interruption of the control operation instruction A; acquiring the corresponding intervention response efficiency when a certain control operation instruction B is judged to be a characteristic intervention instruction causing interruption of a certain control operation instruction A each time, and calculating the standard deviation value Y of n intervention response efficiencies; calculating an intervention interruption index beta= (n/M) = (1/Y) of a certain control operation instruction B to a certain control operation instruction a, and when the intervention interruption index beta of the certain control operation instruction B to the certain control operation instruction a is smaller than an index threshold value, eliminating the certain control operation instruction B from the characteristic intervention instruction range of the certain control operation instruction a.
The standard deviation can measure the discrete degree of a group of data, so as to judge the stability of the data; the smaller the standard deviation is, the smaller the discrete degree of the data is, the more stable the data change is, the larger the standard deviation is, and the higher the discrete degree of the data is; the larger the n/M value, the more the intervention times of a certain control operation instruction B to a certain control operation instruction a are.
Preferably, step S2 includes:
step S3-1: if the certain control operation instruction C is a characteristic intervention instruction of the certain control operation instruction D, in all history execution records of the test sorting machine, in which the certain control operation instruction D is executed and the workflow D corresponding to the certain control operation instruction D is interrupted, the certain control operation instruction C is judged to be the characteristic intervention instruction of the certain control operation instruction D, and the history execution record of the workflow D recovered after being interrupted is extracted as a target history execution record;
step S3-2: capturing the time length Tg required by the workflow D from the ending to the recovery in each target history execution record, extracting the maximum execution response transition time length T (D) of a certain control operation instruction D, and judging that the recovery time delay of the flow starting condition exists in a certain target history execution record if Tg-T (D) is more than or equal to delta in the certain target history execution record, wherein delta is a time length difference threshold; normally, when the action of the singlechip is stopped at a certain part of the flow, if the singlechip is continuously started, a process for recovering each starting condition is existed, and the next part of the flow is continuously executed only when each starting condition is recovered;
step S3-3: calculating an interrupt restoration influence index P=k/Q of a certain control operation instruction C on a certain control operation instruction D, wherein k represents the total number of target historical execution records with flow starting condition restoration delay, and Q represents the total number of target historical execution records; if the interruption recovery influence index P of a certain control operation instruction C on a certain control operation instruction D is larger than an index threshold value, judging that the certain control operation instruction C is a target intervention instruction which needs to start an misoperation early warning mechanism when a user initiates the certain control operation instruction D based on an interactive operation interface.
Preferably, step S4 includes:
step S4-1: the method comprises the steps that when capturing that a time from the initiation of an arbitrary control operation instruction by a user based on an interactive operation interface to the execution of a workflow corresponding to the arbitrary control operation instruction by a test handler is longer than the maximum execution response transition time of the arbitrary control operation instruction, a time of interactive operation sensitivity decline event on a touch panel of the test handler is judged, and feature information extraction is carried out on the working operation environment of the current test handler; for example, the feature packet may include: numerical distribution presented on each performance parameter item of the current test classifier, and all workflow loads of the current test classifier running;
step S4-2: collecting all the feature information extracted from all the interaction operation sensitivity decline events, respectively calculating the repetition rate of each feature information, eliminating the feature information with the repetition rate lower than a threshold value, and taking all the finally reserved feature information as a reference judgment condition range in an misoperation early warning mechanism.
Preferably, step S5 includes:
step S5-1: when the characteristic information of one characteristic information extracted from the real-time operation environment of the test sorting machine belongs to the characteristic information within the range of the reference judgment condition, judging that the sensitivity of the interactive operation is reduced currently; capturing each control operation instruction currently executed by the test handler, and acquiring a target intervention instruction of each control operation instruction;
step S5-2: the control operation instruction currently executed by the test handler is set to comprise a control instruction R, a target intervention instruction corresponding to the control instruction R is set to be a control instruction U, and the control instruction U is captured at an ith interactive operation interface F i And if the selected F is to be clicked in the touch panel of the test handler i The operable range is S (R); invoking the i-1 th interactive operation interface F i-1 When in the interactive operation interface F i-1 In the test handler, a certain control instruction X exists, and if a selected F is to be clicked in the test handler touch panel i-1 The operable ranges S (X) and S (R) satisfy S (X) ≡S (R) +. ∅ for the control instruction X in (A)When the control command X initiated by the user based on the interactive operation interface is detected, the control behavior of the control command U initiated by the user based on the interactive operation interface is judged to be misoperation, and the control end of the test separator is fed back and does not receive the control command U.
In order to better realize the method, an intelligent control system of an intelligent control method is also provided, and the system comprises an instruction state supervision module, a characteristic intervention instruction information management module, a target intervention instruction screening management module, an misoperation early warning mechanism information carding module and an misoperation protection management module;
the command state monitoring module is used for capturing each interactive operation interface on the touch panel of the test handler and monitoring the state of the test handler in the whole process of executing each control operation command initiated by the user based on the interactive operation interface;
the characteristic intervention instruction information management module is used for carrying out distributed information carding on interrupted events which occur in the process of executing any control operation instruction by the test sorting machine, judging and identifying characteristic intervention instructions which cause the interruption of the working flow of the any control operation instruction, and evaluating the intervention interruption index of each characteristic intervention instruction to the any control operation instruction;
the target intervention instruction screening management module is used for respectively evaluating the recovery efficiency of any control operation instruction after the workflow is interrupted due to the influence of each characteristic intervention instruction, and screening the target intervention instruction for any control operation instruction from the characteristic intervention instruction range of the any control operation instruction by combining the intervention interruption index of each characteristic intervention instruction;
the misoperation early warning mechanism information carding module is used for capturing characteristic information of the operation environment of the test separator every time the interactive operation sensitivity in the touch panel of the test separator is reduced, so as to obtain a reference judgment condition range in the misoperation early warning mechanism;
and the misoperation protection management module is used for monitoring the running environment of the current test separator in real time, and when any one piece of characteristic information within the range of the reference judgment condition is captured, the misoperation protection is started for each control operation instruction which is being executed by the current test separator.
Preferably, the feature intervention instruction information management module comprises a feature judgment and identification management unit and an intervention interruption index evaluation management unit;
the feature judgment and identification management unit is used for carrying out distribution information carding on interrupted events which occur in the process of executing any control operation instruction by the test sorting machine, and judging and identifying feature intervention instructions which cause the interruption of the working flow of any control operation instruction;
the intervention interruption index evaluation management unit is used for receiving the data in the characteristic judgment and identification management unit and evaluating the intervention interruption index of each characteristic intervention instruction to any control operation instruction.
Preferably, the target intervention instruction screening management module comprises a recovery efficiency evaluation management unit and an instruction screening management unit;
the recovery efficiency evaluation management unit is used for evaluating the recovery efficiency of any control operation instruction after the workflow is interrupted due to the influence of each characteristic intervention instruction;
the instruction screening management unit is used for receiving the data in the recovery efficiency evaluation management unit, combining the intervention interruption indexes of the characteristic intervention instructions, and screening target intervention instructions for any control operation instruction from the characteristic intervention instruction range of any control operation instruction.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, through analyzing the phenomenon that the execution flow is interrupted when each control operation instruction is executed by the tantalum capacitance test separator, combining with the misoperation rule on the human-computer interface touch panel, the test separator is prevented from being subjected to misoperation caused by temporary sensitivity reduction at the human-computer interface touch panel end as far as possible, the working operation efficiency of the test separator is improved, the operation disorder and the low efficiency caused by the interruption of the flow are avoided as far as possible, and the human-computer interaction experience between a user and the test separator is improved.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of an intelligent control method applied to a test handler according to the present invention;
fig. 2 is a schematic structural diagram of an intelligent control system applied to a test handler according to the present invention.
Description of the embodiments
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, the present invention provides the following technical solutions: an intelligent control method applied to a test handler, the method comprising:
step S1: capturing each interactive operation interface on a touch panel of the test handler, and performing state supervision on the whole process of executing each control operation instruction initiated by a user based on the interactive operation interface by the test handler;
step S2: distributing information carding is carried out on interrupted events which occur in the process of executing any control operation instruction by the test sorting machine, judging and identifying characteristic intervention instructions which cause interruption of the working flow of the any control operation instruction are carried out, and the intervention interruption index of each characteristic intervention instruction on the any control operation instruction is evaluated;
step S3: the recovery efficiency of the random control operation instruction after the workflow is interrupted due to the influence of each characteristic intervention instruction is evaluated, and the target intervention instruction is screened out from the characteristic intervention instruction range of the random control operation instruction by combining the intervention interruption index of each characteristic intervention instruction;
step S4: when the interactive operation sensitivity is reduced in the touch panel of the test separator, capturing characteristic information of the operation environment of the test separator to obtain a reference judgment condition range in a misoperation early warning mechanism;
step S5: the running environment of the current test separator is monitored in real time, and when any characteristic information within the range of the reference judgment condition is captured, misoperation protection is started for each control operation instruction which is being executed by the current test separator.
Wherein, step S2 includes:
step S2-1: capturing the maximum execution response transition time spent on any control operation instruction from the initiation of the any control operation instruction by the user based on the interactive operation interface to the initiation of the execution of the corresponding workflow by the test handler; capturing corresponding time stamps each time when the workflow is interrupted in the process of executing the workflow corresponding to any control operation instruction by the test handler;
step S2-2: setting the maximum execution response transition time length of a certain control operation instruction A as T (A), and setting the maximum execution response transition time length of a certain control operation instruction B as T (B); if a certain control operation instruction B is initiated by a user based on an interactive operation interface tr in the process of executing a workflow a corresponding to the certain control operation instruction A by the test handler, acquiring a reference intervention time range [ tr, tr+T (B) ] of the certain control operation instruction B; when the workflow a is interrupted at a certain time, the corresponding timestamp tf meets tf epsilon [ tr, tr+T (B) ], a certain control operation instruction B is judged to be a characteristic intervention instruction of the current workflow interruption of the certain control operation instruction A, and when the current workflow interruption of the certain control operation instruction A occurs, the intervention response efficiency alpha= (tf-tr)/T (B) of the certain control operation instruction B to the certain control operation instruction A is evaluated;
step S2-3: acquiring total times M of interruption of a workflow a corresponding to a certain control operation instruction A in all historical execution records of the test sorting machine for executing the certain control operation instruction A; acquiring the total number n of characteristic intervention instructions of which the control operation instruction B is judged to cause interruption of the control operation instruction A; acquiring the corresponding intervention response efficiency when a certain control operation instruction B is judged to be a characteristic intervention instruction causing interruption of a certain control operation instruction A each time, and calculating the standard deviation value Y of n intervention response efficiencies; calculating an intervention interruption index beta= (n/M) = (1/Y) of a certain control operation instruction B to a certain control operation instruction a, and when the intervention interruption index beta of the certain control operation instruction B to the certain control operation instruction a is smaller than an index threshold value, eliminating the certain control operation instruction B from the characteristic intervention instruction range of the certain control operation instruction a.
Wherein, step S3 includes:
step S3-1: if the certain control operation instruction C is a characteristic intervention instruction of the certain control operation instruction D, in all history execution records of the test sorting machine, in which the certain control operation instruction D is executed and the workflow D corresponding to the certain control operation instruction D is interrupted, the certain control operation instruction C is judged to be the characteristic intervention instruction of the certain control operation instruction D, and the history execution record of the workflow D recovered after being interrupted is extracted as a target history execution record;
step S3-2: capturing the time length Tg required by the workflow D from the ending to the recovery in each target history execution record, extracting the maximum execution response transition time length T (D) of a certain control operation instruction D, and judging that the recovery time delay of the flow starting condition exists in a certain target history execution record if Tg-T (D) is more than or equal to delta in the certain target history execution record, wherein delta is a time length difference threshold;
step S3-3: calculating an interrupt restoration influence index P=k/Q of a certain control operation instruction C on a certain control operation instruction D, wherein k represents the total number of target historical execution records with flow starting condition restoration delay, and Q represents the total number of target historical execution records; if the interruption recovery influence index P of a certain control operation instruction C on a certain control operation instruction D is larger than an index threshold value, judging that the certain control operation instruction C is a target intervention instruction which needs to start an misoperation early warning mechanism when a user initiates the certain control operation instruction D based on an interactive operation interface.
Wherein, step S4 includes:
step S4-1: the method comprises the steps that when capturing that a time from the initiation of an arbitrary control operation instruction by a user based on an interactive operation interface to the execution of a workflow corresponding to the arbitrary control operation instruction by a test handler is longer than the maximum execution response transition time of the arbitrary control operation instruction, a time of interactive operation sensitivity decline event on a touch panel of the test handler is judged, and feature information extraction is carried out on the working operation environment of the current test handler; for example, the feature packet may include: numerical distribution presented on each performance parameter item of the current test classifier, and all workflow loads of the current test classifier running;
step S4-2: collecting all the characteristic information extracted from all the interaction operation sensitivity decline events, respectively calculating the repetition rate of each characteristic information, eliminating the characteristic information with the repetition rate lower than a threshold value, and taking all the finally reserved characteristic information as a reference judgment condition range in a misoperation early warning mechanism;
for example, the total number of interoperation sensitivity degradation events occurring on the touch panel of the test handler is 6, wherein,
extracting from the first interactive operation sensitivity reduction event, and when the interactive operation sensitivity reduction occurs on the touch panel of the test separator, displaying an operation characteristic a, an operation characteristic b, an operation characteristic c and an operation characteristic d by the test separator;
extracting from the second interactive operation sensitivity drop event, and when the interactive operation sensitivity drop occurs on the touch panel of the test handler, the test handler presents an operation characteristic b, an operation characteristic e, an operation characteristic c and an operation characteristic f;
extracted from the third interactive operation sensitivity drop event, when the interactive operation sensitivity drop occurs on the touch panel of the test handler, the test handler presents an operation characteristic a, an operation characteristic b, an operation characteristic c, an operation characteristic d,
Extracting from the fourth interactive operation sensitivity reduction event, and when the interactive operation sensitivity reduction occurs on the touch panel of the test separator, the test separator presents an operation characteristic a, an operation characteristic b, an operation characteristic c, an operation characteristic d, an operation characteristic e and an operation characteristic f;
extracting from the fifth interactive operation sensitivity reduction event, and when the interactive operation sensitivity reduction occurs on the touch panel of the test handler, the test handler presents an operation characteristic a, an operation characteristic d and an operation characteristic h;
extracting from a sixth interactive operation sensitivity decline event, and when the interactive operation sensitivity decline occurs on the touch panel of the test sorting machine, displaying an operation characteristic a, an operation characteristic b and an operation characteristic h by the test sorting machine;
in summary, the repetition rate of the operation feature a is 5/6, the repetition rate of the operation feature b is 5/6, and the repetition rate of the operation feature c is 4/6=2/3; the repetition rate of the running feature d is 4/6=2/3; the repetition rate of the operation characteristic e is 1/6; the repetition rate of the running characteristic f is 2/6=1/3; the repetition rate of the operation characteristic h is 2/6=1/3;
wherein, step S5 includes:
step S5-1: when the characteristic information of one characteristic information extracted from the real-time operation environment of the test sorting machine belongs to the characteristic information within the range of the reference judgment condition, judging that the sensitivity of the interactive operation is reduced currently; capturing each control operation instruction currently executed by the test handler, and acquiring a target intervention instruction of each control operation instruction;
step S5-2: the control operation instruction currently executed by the test handler is set to comprise a control instruction R, a target intervention instruction corresponding to the control instruction R is set to be a control instruction U, and the control instruction U is captured at an ith interactive operation interface F i And if the selected F is to be clicked in the touch panel of the test handler i The operable range is S (R); invoking the i-1 th interactive operation interface F i-1 When in the interactive operation interface F i-1 In the test handler, a certain control instruction X exists, and if a selected F is to be clicked in the test handler touch panel i-1 In the control instruction X, the operable ranges S (X) and S (R) meet the requirement of S (X) ≡S (R) +. ∅, and when the user is detected to initiate the control instruction based on the interactive operation interfaceAnd when X is carried out, automatically judging that the control behavior of the control instruction U initiated by the user based on the interactive operation interface is misoperation, feeding back the control end of the test separator, and not receiving the control instruction U.
In order to better realize the method, an intelligent control system of an intelligent control method is also provided, and the system comprises an instruction state supervision module, a characteristic intervention instruction information management module, a target intervention instruction screening management module, an misoperation early warning mechanism information carding module and an misoperation protection management module;
the command state monitoring module is used for capturing each interactive operation interface on the touch panel of the test handler and monitoring the state of the test handler in the whole process of executing each control operation command initiated by the user based on the interactive operation interface;
the characteristic intervention instruction information management module is used for carrying out distributed information carding on interrupted events which occur in the process of executing any control operation instruction by the test sorting machine, judging and identifying characteristic intervention instructions which cause the interruption of the working flow of the any control operation instruction, and evaluating the intervention interruption index of each characteristic intervention instruction to the any control operation instruction;
the feature intervention instruction information management module comprises a feature judgment and identification management unit and an intervention interruption index evaluation management unit;
the feature judgment and identification management unit is used for carrying out distribution information carding on interrupted events which occur in the process of executing any control operation instruction by the test sorting machine, and judging and identifying feature intervention instructions which cause the interruption of the working flow of any control operation instruction;
the intervention interruption index evaluation management unit is used for receiving the data in the characteristic judgment and identification management unit and evaluating the intervention interruption index of each characteristic intervention instruction to any control operation instruction;
the target intervention instruction screening management module is used for respectively evaluating the recovery efficiency of any control operation instruction after the workflow is interrupted due to the influence of each characteristic intervention instruction, and screening the target intervention instruction for any control operation instruction from the characteristic intervention instruction range of the any control operation instruction by combining the intervention interruption index of each characteristic intervention instruction;
the target intervention instruction screening management module comprises a recovery efficiency evaluation management unit and an instruction screening management unit;
the recovery efficiency evaluation management unit is used for evaluating the recovery efficiency of any control operation instruction after the workflow is interrupted due to the influence of each characteristic intervention instruction;
the instruction screening management unit is used for receiving the data in the recovery efficiency evaluation management unit, combining the intervention interruption indexes of the characteristic intervention instructions, and screening target intervention instructions for any control operation instruction from the characteristic intervention instruction range of any control operation instruction;
the misoperation early warning mechanism information carding module is used for capturing characteristic information of the operation environment of the test separator every time the interactive operation sensitivity in the touch panel of the test separator is reduced, so as to obtain a reference judgment condition range in the misoperation early warning mechanism;
and the misoperation protection management module is used for monitoring the running environment of the current test separator in real time, and when any one piece of characteristic information within the range of the reference judgment condition is captured, the misoperation protection is started for each control operation instruction which is being executed by the current test separator.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. An intelligent control method applied to a test handler, the method comprising:
step S1: capturing each interactive operation interface on a touch panel of the test handler, and performing state supervision on the whole process of executing each control operation instruction initiated by a user based on the interactive operation interface by the test handler;
step S2: distributing information carding is carried out on interrupted events which occur in the process of executing any control operation instruction by the test sorting machine, judging and identifying characteristic intervention instructions which cause the work flow of the any control operation instruction to be interrupted, and evaluating intervention interruption indexes of the random control operation instruction by each characteristic intervention instruction;
step S3: the recovery efficiency of any control operation instruction after the workflow is interrupted due to the influence of each characteristic intervention instruction is evaluated, and a target intervention instruction is screened out from the characteristic intervention instruction range of the any control operation instruction by combining the intervention interruption index of each characteristic intervention instruction;
step S4: when the interactive operation sensitivity is reduced in the touch panel of the test separator, capturing characteristic information of the operation environment of the test separator to obtain a reference judgment condition range in a misoperation early warning mechanism;
step S5: the running environment of the current test separator is monitored in real time, and when any characteristic information within the range of the reference judgment condition is captured, misoperation protection is started for each control operation instruction which is being executed by the current test separator.
2. The intelligent control method for a test handler according to claim 1, wherein the step S2 comprises:
step S2-1: capturing the maximum execution response transition time spent on any control operation instruction from the initiation of the any control operation instruction by a user based on an interactive operation interface to the initiation of the execution of corresponding workflow cut-off by a test classifier; capturing a corresponding time stamp each time when the workflow is interrupted in the process of executing the workflow corresponding to any control operation instruction by the test handler;
step S2-2: setting the maximum execution response transition time length of a certain control operation instruction A as T (A), and setting the maximum execution response transition time length of a certain control operation instruction B as T (B); if a certain control operation instruction B is initiated by a user based on an interactive operation interface tr in the process of executing a workflow a corresponding to the certain control operation instruction A by the test handler, acquiring a reference intervention time range [ tr, tr+T (B) ] of the certain control operation instruction B; when the workflow a is interrupted at a certain time, the corresponding timestamp tf meets tf epsilon [ tr, tr+T (B) ], a certain control operation instruction B is judged to be a characteristic intervention instruction of the current workflow interruption of the certain control operation instruction A, and when the current workflow interruption of the certain control operation instruction A occurs, the intervention response efficiency alpha= (tf-tr)/T (B) of the certain control operation instruction B to the certain control operation instruction A is evaluated;
step S2-3: acquiring total times M of interruption of a workflow a corresponding to a certain control operation instruction A in all historical execution records of the test sorting machine for executing the certain control operation instruction A; acquiring the total number n of characteristic intervention instructions of which the control operation instruction B is judged to cause interruption of the control operation instruction A; acquiring the corresponding intervention response efficiency when a certain control operation instruction B is judged to be a characteristic intervention instruction causing interruption of a certain control operation instruction A each time, and calculating the standard deviation value Y of n intervention response efficiencies; calculating an intervention interruption index beta= (n/M) = (1/Y) of a certain control operation instruction B to a certain control operation instruction a, and when the intervention interruption index beta of the certain control operation instruction B to the certain control operation instruction a is smaller than an index threshold value, eliminating the certain control operation instruction B from the characteristic intervention instruction range of the certain control operation instruction a.
3. The intelligent control method for a test handler according to claim 2, wherein the step S2 comprises:
step S3-1: if the certain control operation instruction C is a characteristic intervention instruction of the certain control operation instruction D, in all history execution records of the test sorting machine, in which the certain control operation instruction D is executed and the workflow D corresponding to the certain control operation instruction D is interrupted, the certain control operation instruction C is judged to be the characteristic intervention instruction of the certain control operation instruction D, and the history execution record of the workflow D recovered after being interrupted is extracted as a target history execution record;
step S3-2: capturing the time length Tg required by the workflow D from the ending to the recovery in each target history execution record, extracting the maximum execution response transition time length T (D) of a certain control operation instruction D, and judging that the recovery time delay of the flow starting condition exists in a certain target history execution record if Tg-T (D) is more than or equal to delta in the certain target history execution record, wherein delta is a time length difference threshold;
step S3-3: calculating an interrupt restoration influence index P=k/Q of a certain control operation instruction C on a certain control operation instruction D, wherein k represents the total number of target historical execution records with flow starting condition restoration delay, and Q represents the total number of target historical execution records; if the interruption recovery influence index P of a certain control operation instruction C on a certain control operation instruction D is larger than an index threshold value, judging that the certain control operation instruction C is a target intervention instruction which needs to start an misoperation early warning mechanism when a user initiates the certain control operation instruction D based on an interactive operation interface.
4. The intelligent control method for a test handler according to claim 2, wherein the step S4 comprises:
step S4-1: the method comprises the steps that when capturing that the time spent from the initiation of an arbitrary control operation instruction by a user based on an interactive operation interface to the execution of a workflow corresponding to the arbitrary control operation instruction by a test handler is longer than the maximum execution response transition time of the arbitrary control operation instruction, a time of interactive operation sensitivity reduction event occurs on a touch panel of the test handler is judged, and feature information extraction is carried out on the working operation environment of the current test handler;
step S4-2: collecting all the feature information extracted from all the interaction operation sensitivity decline events, respectively calculating the repetition rate of each feature information, eliminating the feature information with the repetition rate lower than a threshold value, and taking all the finally reserved feature information as a reference judgment condition range in an misoperation early warning mechanism.
5. The intelligent control method for a test handler according to claim 4, wherein the step S5 comprises:
step S5-1: when the characteristic information of one characteristic information extracted from the real-time operation environment of the test sorting machine belongs to the characteristic information within the range of the reference judgment condition, judging that the sensitivity of the interactive operation is reduced currently; capturing each control operation instruction currently executed by the test handler, and acquiring a target intervention instruction of each control operation instruction;
step S5-2: the control operation instruction currently executed by the test handler is set to comprise a control instruction R, a target intervention instruction corresponding to the control instruction R is set to be a control instruction U, and the control instruction U is captured at an ith interactive operation interface F i And if the selected F is to be clicked in the touch panel of the test handler i The operable range is S (R); invoking the i-1 th interactive operation interface F i-1 When in the interactive operation interface F i-1 In the test handler, a certain control instruction X exists, and if a selected F is to be clicked in the test handler touch panel i-1 The operable ranges S (X) and S (R) satisfy SAnd (X) ≡S (R) +. ∅), automatically judging the control behavior of the control instruction U initiated by the user based on the interactive operation interface as misoperation when detecting that the control instruction X initiated by the user based on the interactive operation interface is detected in the period of reduced current interactive operation sensitivity, and feeding back the control instruction U not received by the control end of the test separator.
6. An intelligent control system for executing the intelligent control method applied to the test handler according to any one of claims 1 to 5, wherein the system comprises an instruction state supervision module, a characteristic intervention instruction information management module, a target intervention instruction screening management module, an misoperation early warning mechanism information carding module and an misoperation protection management module;
the instruction state monitoring module is used for capturing each interactive operation interface on the touch panel of the test separator and monitoring the state of the test separator in the whole process of executing each control operation instruction initiated by a user based on the interactive operation interface;
the characteristic intervention instruction information management module is used for carrying out distributed information carding on interrupted events which occur in the process of executing any control operation instruction by the test sorting machine, judging and identifying characteristic intervention instructions which cause the work flow of the any control operation instruction to be interrupted, and evaluating intervention interruption indexes of the random control operation instruction by each characteristic intervention instruction;
the target intervention instruction screening management module is used for respectively evaluating recovery efficiency of any control operation instruction after the workflow is interrupted due to the influence of each characteristic intervention instruction, and screening the target intervention instruction for the any control operation instruction from the characteristic intervention instruction range of the any control operation instruction by combining the intervention interruption index of each characteristic intervention instruction;
the misoperation early warning mechanism information carding module is used for capturing characteristic information of the running environment of the test separator every time when the interactive operation sensitivity in the touch panel of the test separator is reduced, so as to obtain a reference judgment condition range in the misoperation early warning mechanism;
the misoperation protection management module is used for monitoring the running environment of the current test separator in real time, and when any one piece of characteristic information within the range of the reference judgment condition is captured, the misoperation protection is started for each control operation instruction which is being executed by the current test separator.
7. The intelligent control system according to claim 6, wherein the characteristic intervention instruction information management module includes a characteristic judgment identification management unit, an intervention interruption index evaluation management unit;
the characteristic judgment and identification management unit is used for carrying out distribution information carding on interrupted events which occur in the process of executing any control operation instruction of the test sorting machine, and judging and identifying characteristic intervention instructions which cause the interruption of the workflow of the any control operation instruction;
the intervention interruption index evaluation management unit is used for receiving the data in the characteristic judgment and identification management unit and evaluating the intervention interruption index of each characteristic intervention instruction to the arbitrary control operation instruction.
8. The intelligent control system according to claim 6, wherein the target intervention instruction screening management module comprises a recovery efficiency evaluation management unit, an instruction screening management unit;
the recovery efficiency evaluation management unit is used for evaluating the recovery efficiency of any control operation instruction after the workflow is interrupted due to the influence of each characteristic intervention instruction;
the instruction screening management unit is used for receiving the data in the recovery efficiency evaluation management unit, combining the intervention interruption indexes of the characteristic intervention instructions, and screening target intervention instructions for any control operation instruction from the characteristic intervention instruction range of the any control operation instruction.
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