CN113313332A - Beat health grade determination method, device, equipment and storage medium - Google Patents
Beat health grade determination method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN113313332A CN113313332A CN202010118733.0A CN202010118733A CN113313332A CN 113313332 A CN113313332 A CN 113313332A CN 202010118733 A CN202010118733 A CN 202010118733A CN 113313332 A CN113313332 A CN 113313332A
- Authority
- CN
- China
- Prior art keywords
- beat
- score
- determining
- abnormal
- beats
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000036541 health Effects 0.000 title claims abstract description 63
- 238000000034 method Methods 0.000 title claims abstract description 42
- 238000003860 storage Methods 0.000 title claims abstract description 16
- 230000002159 abnormal effect Effects 0.000 claims abstract description 150
- 238000004519 manufacturing process Methods 0.000 claims abstract description 69
- 238000013178 mathematical model Methods 0.000 claims description 30
- 238000011156 evaluation Methods 0.000 claims description 26
- 230000006872 improvement Effects 0.000 claims description 14
- YXVFQADLFFNVDS-UHFFFAOYSA-N diammonium citrate Chemical compound [NH4+].[NH4+].[O-]C(=O)CC(O)(C(=O)O)CC([O-])=O YXVFQADLFFNVDS-UHFFFAOYSA-N 0.000 claims description 12
- 230000007423 decrease Effects 0.000 claims description 9
- YTCQFLFGFXZUSN-BAQGIRSFSA-N microline Chemical compound OC12OC3(C)COC2(O)C(C(/Cl)=C/C)=CC(=O)C21C3C2 YTCQFLFGFXZUSN-BAQGIRSFSA-N 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 abstract description 5
- 230000009286 beneficial effect Effects 0.000 abstract description 3
- 238000013499 data model Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000012549 training Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000013024 troubleshooting Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
Abstract
The embodiment of the invention discloses a method, a device, equipment and a storage medium for determining beat health level, wherein the method comprises the following steps: determining a tempo for each product based on the time-off; dividing the beat of each product into a normal beat and an abnormal beat according to the time length; wherein the abnormal beat includes at least one type of beat; determining the score of the normal beat based on the number proportion of the normal beats and the weight fraction, and determining the score of the abnormal beat based on the time proportion of the abnormal beat and the weight fraction; the score of the overall tempo is determined based on the scores of the normal tempos and the scores of the abnormal tempos, and the health level of the overall tempo is determined based on the score of the overall tempo. The technical scheme provided by the embodiment of the invention can solve the problem that the production index in the related technology can not accurately reflect the actual production condition, can accurately feed back the health degree of production operation, is beneficial to improving production and improves the production and manufacturing force.
Description
Technical Field
The embodiment of the invention relates to the technical field of data processing, in particular to a method, a device, equipment and a storage medium for determining beat health level.
Background
In production management, the operation condition of the production line can reflect the production performance of the designed production line, can guide the production plan and maintenance strategy of the production line, and is the basis for the production line designer to carry out optimization design on the existing scheme, so that the operation condition of the production line can be accurately obtained, which is very important work.
In the related art, the operation condition of a production line can be generally measured by production indexes such as yield, capacity per hour, per capita efficiency and the like. However, the above-mentioned production indexes can only reflect an operation status of the whole production line, and cannot reflect the detailed status in the actual production process, so that the actual production status cannot be accurately reflected.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a storage medium for determining beat health level, which can solve the problem that the production index in the related technology can not accurately reflect the actual production condition, can accurately feed back the health degree of production operation, are beneficial to production improvement and improve the production and manufacturing capacity.
In a first aspect, an embodiment of the present invention provides a method for determining a beat health level, including:
obtaining offline time of each product, and determining the beat of each product based on the offline time;
dividing the beat of each product into a normal beat and an abnormal beat according to the time length; wherein the abnormal beats include at least one type of beat;
determining the weight fraction and the number ratio of the normal beats, and determining the weight fraction and the time ratio of the abnormal beats;
determining a score of the normal beats based on the number fraction and the weight fraction of the normal beats, and determining a score of the abnormal beats based on the time fraction and the weight fraction of the abnormal beats;
determining a score of an overall tempo based on the score of the normal tempo and the score of the abnormal tempo, and determining a health level of the overall tempo based on the score of the overall tempo.
In a second aspect, an embodiment of the present invention further provides a method for determining a beat health level, where the method includes:
inputting the offline time of each product into a trained mathematical model to determine the beat of each product;
dividing the beat of each product into a normal beat and an abnormal beat according to the time length through the mathematical model; wherein the abnormal beats include at least one type of beat;
determining the weight fraction and the number ratio of the normal beats and determining the weight fraction and the time ratio of the abnormal beats through the mathematical model;
determining, by the mathematical model, a score of the normal beats based on the number fraction and the weight fraction of the normal beats, and determining a score of the abnormal beats based on the time fraction and the weight fraction of the abnormal beats;
determining, by the mathematical model, a score of an overall beat based on the score of the normal beat and the score of the abnormal beat, and determining a health level of the overall beat based on the score of the overall beat.
In a third aspect, an embodiment of the present invention provides a beat health level determining apparatus, including:
the first determining module is used for acquiring the offline time of each product and determining the beat of each product based on the offline time;
the dividing module is used for dividing the beat of each product into a normal beat and an abnormal beat according to the time length; wherein the abnormal beats include at least one type of beat;
the second determining module is used for determining the weight fraction and the number ratio of the normal beats and determining the weight fraction and the time ratio of the abnormal beats;
a third determining module, configured to determine a score of the normal beat based on the number fraction and the weight fraction of the normal beats, and determine a score of the abnormal beat based on the time fraction and the weight fraction of the abnormal beat;
and the fourth determining module is used for determining the score of the whole beat based on the score of the normal beat and the score of the abnormal beat and determining the health level of the whole beat based on the score of the whole beat.
In a fourth aspect, an embodiment of the present invention provides an apparatus, including:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement an embodiment of the invention to provide a method.
In a fifth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement a method provided by the present invention.
According to the technical scheme of the embodiment of the invention, the beat of the product is divided into the normal beat and the abnormal beat according to the time length, the score of the normal beat is determined based on the number proportion and the weight fraction of the normal beat, the score of the abnormal beat is determined based on the time proportion and the weight fraction of the abnormal beat, the score of the whole beat is determined based on the scores of the beats, and the health grade of the whole beat is determined based on the score of the whole beat, so that the problem that the actual production condition cannot be accurately reflected in the related technology can be solved, the health degree of production operation can be accurately fed back, the production improvement is facilitated, and the production and manufacturing force is improved.
Drawings
Fig. 1 is a flowchart of a beat health level determination method according to an embodiment of the present invention;
fig. 2 is a flowchart of a beat health level determination method according to an embodiment of the present invention;
fig. 3a is a flowchart of a beat health level determination method according to an embodiment of the present invention;
FIG. 3b is an architecture diagram of a mathematical model provided by an embodiment of the present invention;
fig. 4 is a block diagram of a beat health level determination apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an apparatus according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Fig. 1 is a flowchart of a method for determining a beat health level according to an embodiment of the present invention, where the method may be executed by a beat health level determining apparatus, where the apparatus may be implemented by software and/or hardware, the apparatus may be configured in an electronic device such as a computer, and the method may be applied in a scenario of analyzing beat data, as shown in fig. 1, and a technical solution provided by an embodiment of the present invention includes:
s110: and acquiring the offline time of each product, and determining the beat of each product based on the offline time.
In an embodiment of the invention, the actual offline time of the product is recorded by a tempo recorder added at the production line by a person or a machine and stored in a database. Wherein, the tempo of the current product may be a time interval between the offline time of the last product and the offline time of the current product.
S120: dividing the beat of each product into a normal beat and an abnormal beat according to the time length; wherein the abnormal beat includes at least one type of beat.
In the embodiment of the present invention, optionally, the normal beat is smaller than mT, where T is a standard working hour; m is a number of 1 or more. The standard working hour T is the time required by a trained staff to complete a work task with standard actions under the condition of mature and stable process conditions.
In the embodiment of the invention, the abnormal beat comprises an instant line stop beat, a micro line stop beat and a line stop beat; the instantaneous line stopping beat is more than or equal to mT and less than nT; n is a number greater than m; the micro stop line beat is greater than or equal to nT and smaller than a set time threshold; the stop line beat is greater than the set time threshold; wherein m decreases with increasing standard man-hours and n decreases with increasing standard man-hours.
Specifically, the widening factor m is different according to the standard working hour. The correspondence between the relaxation coefficient m and the standard man-hour can be referred to table 1. The widening factor n is different according to the length of the standard working hours. The correspondence relationship between the broadening coefficient n and the standard time can be referred to table 2.
TABLE 1
| Distinguishing | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
| Standard work hours | Within 5 seconds | 5-20 | 20-40 | 40-80 | 80-180 | 180-300 | Over 300 |
| Coefficient of broadening of m | 2.5 | 2 | 1.8 | 1.6 | 1.4 | 1.2 | 1.1 |
TABLE 2
| Distinguishing | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
| Standard work hours | Within 15 seconds | 5-20 | 20-40 | 40-80 | 80-180 | 180-300 | Over 300 |
| Coefficient of broadening n | 6 | 4 | 3 | 2.5 | 2 | 1.5 | 1.2 |
As shown in tables 1 and 2, when the standard man-hour is 20s, the widening factor m is 2, the widening factor n is 4, and the range of the instantaneous stop tempo is 40-80 s. Optionally, the micro-stop line beat can be n times of the beat between the standard working hours and 5 minutes (nT is less than or equal to the micro-stop line beat and less than 5 minutes); the stop beat may be a beat of 5 minutes or more (. gtoreq.5 minutes).
Where m decreases as the standard man-hours increase as shown in table 1, and n decreases as the standard man-hours increase as shown in table 2. When the standard working hours increase, m and n both decrease along with the increase of the standard working hours, so that the beat can be divided more accurately, and the divided beat can better accord with the actual situation.
In an implementation manner of the embodiment of the present invention, in a scenario of producing a home appliance product, the differentiation of beats may be in the following form:
normal tempo: less than 2 times of standard working hours, 2T (normal beat < 2T)
Instantaneous line stop beat: 2T-60 seconds (2T is less than or equal to the instantaneous line stopping beat is less than 60 seconds)
Micro stop line beat: 60-300 seconds (60 seconds is less than or equal to micro stop line beat is less than 300 seconds)
Stopping line beat: more than 300 seconds (the line stopping beat is more than or equal to 300 seconds).
Therefore, the method for dividing the beats is more suitable for the actual production of household electrical appliances.
S130: and determining the weight fraction and the number ratio of the normal beats, and determining the weight fraction and the time ratio of the abnormal beats.
In the embodiment of the present invention, the quantity ratio refers to a ratio of the quantity of products corresponding to the target tempo to the total quantity of the products, or a ratio of the quantity of products going off line to the total quantity going off line in the target tempo. For example, if the total number of downlines is 1000, the normal tempo is 600 downlines in 20 seconds, and the number accounts for 60% of B0.
In an embodiment of the present invention, the time fraction may be a ratio of the sum of the times of the target beats to the total time. Or as the ratio of the sum of the product down times at the target tempo to the total product down time. If the instantaneous stopping beat is off line for 20-60s and the sum is 650 seconds, the total time is 10000 seconds, and the time accounts for 6.5% of C1.
In one implementation manner of the embodiment of the present invention, the determining the weight score of the abnormal beat includes: determining the weight fraction of each beat based on the instantaneous line stopping beat, the micro line stopping beat and the influence degree of the line stopping beat on the product yield; wherein the higher the influence on the product yield, the higher the weight score. The influence degree of the stop line beat on the product yield is greater than the influence degree of the micro stop line beat on the product yield; the influence degree of the micro line stopping tempo on the product yield is greater than the influence degree of the instantaneous line stopping tempo on the product yield.
The influence degree of the abnormal beat on the product yield can be determined based on the quantity of the products produced according to the normal beat in the abnormal beat. In an abnormal tempo, if the number of products produced according to a normal tempo is larger, the influence of the abnormal tempo on the product yield is larger. For example, if the number of products produced at the normal tempo is 5 in the stop tempo, and if the number of products produced at the normal tempo is 3 in the micro-stop tempo, the number of products produced at the normal tempo in the stop tempo is large, and therefore the stop tempo has a larger influence on the product yield than the micro-stop tempo.
In the embodiment of the present invention, after determining the weight scores of various types of beats in the abnormal beats, the difference between the total weight score and the abnormal beat weight score may be used as the weight score of the normal beat.
Therefore, in the embodiment of the invention, the weight scores of all types of beats in the abnormal beats are determined according to the influence degree of the product yield, so that the division of the weight scores can be more consistent with the actual production condition, and the score calculation of the beats is more consistent with the actual condition and more accurate.
S140: and determining the score of the normal beats based on the number proportion and the weight fraction of the normal beats, and determining the score of the abnormal beats based on the time proportion and the weight fraction of the abnormal beats.
In one implementation manner of the embodiment of the present invention, determining the score of the normal tempo based on the number ratio and the weight of the normal tempo includes: determining a score for the normal beat based on the following formula:
D0＝A0×B0
where D0 is the score of normal beats, a0 is the weight score of normal beats, and B0 is the number of normal beats.
In one implementation manner of the embodiment of the present invention, determining the score of the abnormal beat based on the time fraction and the weight of the abnormal beat includes determining the score of the abnormal beat based on the following formula:
wherein Di is the score of the ith type of beat in the abnormal beats; ai is a ratio coefficient of the ith type beat in the abnormal beats; ci is the time proportion of the ith type of beat in the abnormal beats; ai is the weight fraction of the ith type of beat in the abnormal beats. The duty factor of each type of beat in the abnormal beat may be the same or may be different. When Ci is greater than or equal to ai, the score of the target abnormal beat is 0.
As can be seen from the above-described abnormal tempo score calculation formula, when the time proportion of the target abnormal tempo is larger, the score of the target abnormal tempo is lower.
When the score of the abnormal beat is determined, the abnormal beat is larger than the normal beat, so that the influence of the time proportion of the abnormal beat on the beat health evaluation is far larger than the quantity proportion, and the score of the abnormal beat is determined based on the time proportion and the weight score of the abnormal beat. When the score of the normal tempo is determined, the number of normal tempos accounts for a larger influence on the tempo health evaluation, so the score of the normal tempo is determined based on the number of normal tempos and the weight score. Therefore, the score of the abnormal beat is determined based on the time proportion and the weight fraction of the abnormal beat, and the score of the normal beat is determined based on the number proportion and the weight fraction of the normal beat, so that the beat score can accord with the actual situation, and the health grade of the beat is accurately divided.
In the embodiment of the present invention, the calculation logic of the score for each beat may refer to table 3, optionally.
TABLE 3
As shown in table 3, the duty factor of the instantaneous stop beat and the micro stop beat may be 0.3, and the duty factor of the stop beat may be 0.25. Wherein, the ratio coefficient can be determined according to the accumulation of practical conditions.
S150: determining a score of an overall tempo based on the score of the normal tempo and the score of the abnormal tempo, and determining a health level of the overall tempo based on the score of the overall tempo.
In the embodiment of the present invention, the sum of the score of the normal beat and the score of the abnormal beat may be taken as the score of the overall beat.
In the embodiment of the invention, the health level of the whole beat can be divided into a leading level, a healthy level, a sub-healthy level, an unhealthy level and a serious disease level. The health level of the whole beat may be divided into other levels, and the division of the level is not limited to the above division form. One score range for each health level. When the score of the overall beat is determined, the score range to which the beat belongs is determined, and therefore the health level corresponding to the score range is determined.
The correspondence between the beat score and the health level can refer to table 4.
TABLE 4
According to the technical scheme provided by the embodiment of the invention, the beat of the product is divided into the normal beat and the abnormal beat according to the time length, the score of the normal beat is determined based on the number proportion and the weight fraction of the normal beat, the score of the abnormal beat is determined based on the time proportion and the weight fraction of the abnormal beat, the score of the whole beat is determined based on the scores of the beats, and the health grade of the whole beat is determined based on the score of the whole beat, so that the problem that the actual production condition cannot be accurately reflected in the related technology can be solved, the health degree of production operation can be accurately fed back, the production improvement is facilitated, and the production and manufacturing force is improved.
Fig. 2 is a flowchart of a beat health level determination method provided in an embodiment of the present invention, where the technical solution in this embodiment may be combined with one or more solutions of the foregoing embodiments, and optionally, the technical solution provided in the embodiment of the present invention may further include:
determining corresponding evaluation information according to the health grade, and sending the evaluation information to a manager terminal;
and if the evaluation information contains unhealthy production information corresponding to the beat, providing an improvement suggestion based on the unhealthy production information, and sending the improvement suggestion to a manager terminal.
As shown in fig. 2, the technical solution provided by the embodiment of the present invention includes:
s210: and acquiring the offline time of each product, and determining the beat of each product based on the offline time.
S220: dividing the beat of each product into a normal beat and an abnormal beat according to the time length; wherein the abnormal beat includes at least one type of beat.
S230: and determining the weight fraction and the number ratio of the normal beats, and determining the weight fraction and the time ratio of the abnormal beats.
S240: and determining the score of the normal beats based on the number proportion and the weight fraction of the normal beats, and determining the score of the abnormal beats based on the time proportion and the weight fraction of the abnormal beats.
S250: determining a score of an overall tempo based on the score of the normal tempo and the score of the abnormal tempo, and determining a health level of the overall tempo based on the score of the overall tempo.
S260: and determining corresponding evaluation information according to the health grade, and sending the evaluation information to a manager terminal.
In the embodiment of the present invention, the evaluation information may include total evaluation information and evaluation information of each type of beat. The evaluation information is sent to the manager terminal, so that the manager can know the actual production situation, the manager can refer to the evaluation information to improve pertinence, and the overall competitiveness is improved.
The evaluation information can be referred to table 5. As shown in table 5, each health level corresponds to the overall evaluation and the evaluation information of each type of tempo. The evaluation information can be obtained based on accumulated summary in actual production, and can guide the manager to the state of production operation.
TABLE 5
S270: and if the evaluation information contains unhealthy production information corresponding to the beat, providing an improvement suggestion based on the unhealthy production information, and sending the improvement suggestion to a manager terminal.
In the embodiment of the present invention, the unhealthy production information may refer to abnormal production information such as abnormal work, abnormal line stop, smooth running part, and the like. If the evaluation information contains the unhealthy production information corresponding to the beat, the improvement suggestion corresponding to the unhealthy production information can be inquired and pushed to the manager terminal, so that the manager can improve the improvement suggestion, the manager can conveniently and the efficiency of troubleshooting can be improved.
In the related technology, the operation state of the production line is generally measured by production indexes such as yield, single-hour capacity, per capita efficiency and the like on the production site. Wherein, the output can refer to the number of products produced by people, machines or production lines in a certain time. Single Hour capacity (Units Per Hour, UPH): refers to the hourly production. The per hour per person efficiency may refer to yield/number of people/number of hours worked. The production index can only measure the completion of the plan, the production speed and the efficiency, namely, the overall operation condition. Details such as whether production is balanced, whether production is stopped, whether the optimal state of the production line is achieved, and the like in the production process cannot be well reflected.
According to the technical scheme provided by the embodiment of the invention, the beat of the product is divided into the normal beat and the abnormal beat according to the time length, the score of the normal beat is determined based on the number proportion and the weight fraction of the normal beat, the score of the abnormal beat is determined based on the time proportion and the weight fraction of the abnormal beat, the score of the whole beat is determined based on the scores of the beats, the health grade of the whole beat is determined based on the score of the whole beat, and the evaluation information is determined according to the health grade, so that the actual production state can be intelligently displayed to a manager, the production improvement is facilitated, and the production and manufacturing capacity is improved
Fig. 3a is a beat health level determination method provided by an embodiment of the present invention, where the method may be executed by a beat health level determination apparatus, the apparatus may be implemented by software and/or hardware, the apparatus may be configured in an electronic device such as a computer, and the method may be applied in a scenario of analyzing beat data, as shown in fig. 3a, a technical solution provided by an embodiment of the present invention includes:
s310: and inputting the offline time of each product into a trained mathematical model to determine the beat of each product.
In embodiments of the present invention, the mathematical model needs to be trained before the down time of the product is input into the mathematical model. The training process can be that off-line time of each product, standard score of the whole beat of the product, health grade division and the like form training set data to train the mathematical model, so as to obtain the trained mathematical model. Wherein the type of data model is not limited.
S320: dividing the beat of each product into a normal beat and an abnormal beat according to the time length through the mathematical model; wherein the abnormal beat includes at least one type of beat.
S330: and determining the weight fraction and the number ratio of the normal beats and determining the weight fraction and the time ratio of the abnormal beats through the mathematical model.
S340: and determining the score of the normal beats through the mathematical model based on the number proportion and the weight fraction of the normal beats, and determining the score of the abnormal beats based on the time proportion and the weight fraction of the abnormal beats.
S350: determining, by the mathematical model, a score of an overall beat based on the score of the normal beat and the score of the abnormal beat, and determining a health level of the overall beat based on the score of the overall beat.
It should be noted that, the architecture of the data model may refer to fig. 3b, and is mainly divided into three parts, i.e., data acquisition, beat data segmentation operation, and hierarchical evaluation, and specific steps may refer to S310 to S350.
It should be noted that, in the embodiment of the present invention, reference may be made to the description of the foregoing embodiment for the description of S310 to S350, where differences in steps of S310 to S350 corresponding to the foregoing embodiment may be: beat health level determination is performed by a data model, and weight scores, duty factors, etc. may be adjusted through training of the data model.
According to the technical scheme provided by the embodiment of the invention, the beat of the product is divided into the normal beat and the abnormal beat according to the time length through the data model, the score of the normal beat is determined based on the number proportion and the weight fraction of the normal beat, the score of the abnormal beat is determined based on the time proportion and the weight fraction of the abnormal beat, the score of the whole beat is determined based on the scores of the beats, and the health grade of the whole beat is determined based on the score of the whole beat.
Fig. 4 is a schematic structural diagram of an apparatus for determining beat health level according to an embodiment of the present invention, as shown in fig. 4, the apparatus includes a first determining module 410, a dividing module 420, a second determining module 430, a third determining module 440, and a fourth determining module 450.
The first determining module 410 is configured to obtain offline time of each product, and determine a tempo of each product based on the offline time;
a dividing module 420, configured to divide the beat of each product into a normal beat and an abnormal beat according to the time length; wherein the abnormal beat includes at least one type of beat;
a second determining module 430, configured to determine a weight fraction and a number fraction of the normal beats, and determine a weight fraction and a time fraction of the abnormal beats;
a third determining module 440, configured to determine a score of the normal beats based on the number fraction and the weight fraction of the normal beats, and determine a score of the abnormal beats based on the time fraction and the weight fraction of the abnormal beats;
a fourth determining module 450, configured to determine a score of the overall beat based on the score of the normal beat and the score of the abnormal beat, and determine a health level of the overall beat based on the score of the overall beat.
Optionally, the determining the score of the normal beats based on the number ratio and the weight of the normal beats includes:
determining a score for the normal beat based on the following formula:
D0＝A0×B0
where D0 is the score of normal beats, a0 is the weight score of normal beats, and B0 is the number of normal beats.
Optionally, the determining the score of the abnormal beat based on the time fraction and the weight of the abnormal beat includes determining the score of the abnormal beat based on the following formula:
wherein ai is a ratio coefficient of the ith type beat in the abnormal beats; ci is the time proportion of the ith type of beat in the abnormal beats; ai is the weight fraction of the ith type of beat in the abnormal beats.
Optionally, the normal tempo is less than mT, where T is standard man-hour; m is a number of 1 or more;
the abnormal beats comprise an instant line stop beat, a micro line stop beat and a line stop beat;
the instantaneous line stopping beat is more than or equal to mT and less than nT; n is a number greater than m;
the micro stop line beat is greater than or equal to nT and smaller than a set time threshold;
the stop line beat is greater than the set time threshold;
wherein m decreases with increasing standard man-hours and n decreases with increasing standard man-hours.
Optionally, the determining the weight score of the abnormal beat includes:
determining the weight fraction of each beat based on the instantaneous line stopping beat, the micro line stopping beat and the influence degree of the line stopping beat on the product yield; wherein the higher the influence on the product yield, the higher the weight score.
Optionally, the influence degree of the stop line beat on the product yield is greater than the influence degree of the micro stop line beat on the product yield; the influence degree of the micro line stopping tempo on the product yield is greater than the influence degree of the instantaneous line stopping tempo on the product yield.
Optionally, the apparatus further includes a sending module, configured to:
determining corresponding evaluation information according to the health grade, and sending the evaluation information to a manager terminal;
and if the evaluation information contains unhealthy production information corresponding to the beat, providing an improvement suggestion based on the unhealthy production information, and sending the improvement suggestion to a manager terminal.
The device provided by the embodiment can execute the method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Fig. 5 is a schematic structural diagram of an apparatus provided in an embodiment of the present invention, and as shown in fig. 5, the apparatus includes:
one or more processors 510, one processor 510 being illustrated in FIG. 5;
a memory 520;
the apparatus may further include: an input device 530 and an output device 540.
The processor 510, the memory 520, the input device 530 and the output device 540 of the apparatus may be connected by a bus or other means, and fig. 5 illustrates the connection by a bus as an example.
The memory 520, which is a non-transitory computer-readable storage medium, may be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to a beat health level determination method in an embodiment of the present invention (for example, the first determining module 410, the dividing module 420, the second determining module 430, the third determining module 440, and the fourth determining module 450 shown in fig. 4). The processor 510 executes various functional applications and data processing of the computer device by executing the software programs, instructions and modules stored in the memory 520, so as to implement a beat health level determination method of the above method embodiment, that is:
obtaining the offline time of each product, and determining the beat of each product based on the offline time;
dividing the beat of each product into a normal beat and an abnormal beat according to the time length; wherein the abnormal beat includes at least one type of beat;
determining the weight fraction and the number ratio of the normal beats, and determining the weight fraction and the time ratio of the abnormal beats;
determining a score of the normal beats based on the number fraction and the weight fraction of the normal beats, and determining a score of the abnormal beats based on the time fraction and the weight fraction of the abnormal beats;
determining a score of an overall tempo based on the score of the normal tempo and the score of the abnormal tempo, and determining a health level of the overall tempo based on the score of the overall tempo. Or;
inputting the offline time of each product into a trained mathematical model to determine the beat of each product;
dividing the beat of each product into a normal beat and an abnormal beat according to the time length through the mathematical model; wherein the abnormal beats include at least one type of beat;
determining the weight fraction and the number ratio of the normal beats and determining the weight fraction and the time ratio of the abnormal beats through the mathematical model;
determining, by the mathematical model, a score of the normal beats based on the number fraction and the weight fraction of the normal beats, and determining a score of the abnormal beats based on the time fraction and the weight fraction of the abnormal beats;
determining, by the mathematical model, a score of an overall beat based on the score of the normal beat and the score of the abnormal beat, and determining a health level of the overall beat based on the score of the overall beat.
The memory 520 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the computer device, and the like. Further, the memory 520 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 520 may optionally include memory located remotely from processor 510, which may be connected to a terminal device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 530 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the computer apparatus. The output device 540 may include a display device such as a display screen.
Embodiments of the present invention also provide a computer-readable storage medium having stored thereon a computer program, which when executed by a computer processor, is configured to perform a method of beat health level determination, the method comprising:
obtaining the offline time of each product, and determining the beat of each product based on the offline time;
dividing the beat of each product into a normal beat and an abnormal beat according to the time length; wherein the abnormal beat includes at least one type of beat;
determining the weight fraction and the number ratio of the normal beats, and determining the weight fraction and the time ratio of the abnormal beats;
determining a score of the normal beats based on the number fraction and the weight fraction of the normal beats, and determining a score of the abnormal beats based on the time fraction and the weight fraction of the abnormal beats;
determining a score of an overall tempo based on the score of the normal tempo and the score of the abnormal tempo, and determining a health level of the overall tempo based on the score of the overall tempo. Or;
inputting the offline time of each product into a trained mathematical model to determine the beat of each product;
dividing the beat of each product into a normal beat and an abnormal beat according to the time length through the mathematical model; wherein the abnormal beats include at least one type of beat;
determining the weight fraction and the number ratio of the normal beats and determining the weight fraction and the time ratio of the abnormal beats through the mathematical model;
determining, by the mathematical model, a score of the normal beats based on the number fraction and the weight fraction of the normal beats, and determining a score of the abnormal beats based on the time fraction and the weight fraction of the abnormal beats;
determining, by the mathematical model, a score of an overall beat based on the score of the normal beat and the score of the abnormal beat, and determining a health level of the overall beat based on the score of the overall beat.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the contract signing apparatus, the units and modules included in the embodiment are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (11)
1. A beat health level determination method, comprising:
obtaining offline time of each product, and determining the beat of each product based on the offline time;
dividing the beat of each product into a normal beat and an abnormal beat according to the time length; wherein the abnormal beats include at least one type of beat;
determining the weight fraction and the number ratio of the normal beats, and determining the weight fraction and the time ratio of the abnormal beats;
determining a score of the normal beats based on the number fraction and the weight fraction of the normal beats, and determining a score of the abnormal beats based on the time fraction and the weight fraction of the abnormal beats;
determining a score of an overall tempo based on the score of the normal tempo and the score of the abnormal tempo, and determining a health level of the overall tempo based on the score of the overall tempo.
2. The method of claim 1, wherein determining the score for the normal beats based on the percentage of the number of normal beats and the weight comprises:
determining a score for the normal beat based on the following formula:
D0＝A0×B0
wherein D0 is the score of the normal beats, A0 is the weight score of the normal beats, and B0 is the number of the normal beats in proportion.
3. The method of claim 2,
determining the score of the abnormal beat based on the time fraction and the weight of the abnormal beat comprises determining the score of the abnormal beat based on the following formula:
wherein Di is the score of the ith type of beat in the abnormal beats; ai is a ratio coefficient of the ith type beat in the abnormal beats; ci is the time proportion of the ith type of beat in the abnormal beats; ai is the weight fraction of the ith type of beat in the abnormal beats.
4. The method according to any one of claims 1 to 3,
the normal beat is less than mT, wherein T is standard working hour; m is a number of 1 or more;
the abnormal beats comprise an instant line stop beat, a micro line stop beat and a line stop beat;
the instantaneous line stopping beat is more than or equal to mT and less than nT; n is a number greater than m;
the micro stop line beat is greater than or equal to nT and smaller than a set time threshold;
the stop line beat is greater than the set time threshold;
wherein m decreases with increasing standard man-hours and n decreases with increasing standard man-hours.
5. The method of claim 4, wherein determining the weight score for the abnormal beat comprises:
determining the weight fraction of each beat based on the instant line stopping beat, the micro line stopping beat and the influence degree of the line stopping beat on the product yield; wherein the higher the influence on the product yield, the higher the weight score.
6. The method of claim 5, wherein the stopping tempo has a greater influence on product yield than the micro stopping tempo; the influence degree of the micro line stopping tempo on the product yield is greater than the influence degree of the instantaneous line stopping tempo on the product yield.
7. The method of claim 1, further comprising:
determining corresponding evaluation information according to the health grade, and sending the evaluation information to a manager terminal;
and if the evaluation information contains unhealthy production information corresponding to the beat, providing an improvement suggestion based on the unhealthy production information, and sending the improvement suggestion to a manager terminal.
8. A beat health level determination method, comprising:
inputting the offline time of each product into a trained mathematical model to determine the beat of each product;
dividing the beat of each product into a normal beat and an abnormal beat according to the time length through the mathematical model; wherein the abnormal beats include at least one type of beat;
determining the weight fraction and the number ratio of the normal beats and determining the weight fraction and the time ratio of the abnormal beats through the mathematical model;
determining, by the mathematical model, a score of the normal beats based on the number fraction and the weight fraction of the normal beats, and determining a score of the abnormal beats based on the time fraction and the weight fraction of the abnormal beats;
determining, by the mathematical model, a score of an overall beat based on the score of the normal beat and the score of the abnormal beat, and determining a health level of the overall beat based on the score of the overall beat.
9. A tempo health level determination apparatus, comprising:
the first determining module is used for acquiring the offline time of each product and determining the beat of each product based on the offline time;
the dividing module is used for dividing the beat of each product into a normal beat and an abnormal beat according to the time length; wherein the abnormal beats include at least one type of beat;
the second determining module is used for determining the weight fraction and the number ratio of the normal beats and determining the weight fraction and the time ratio of the abnormal beats;
a third determining module, configured to determine a score of the normal beat based on the number fraction and the weight fraction of the normal beats, and determine a score of the abnormal beat based on the time fraction and the weight fraction of the abnormal beat;
and the fourth determining module is used for determining the score of the whole beat based on the score of the normal beat and the score of the abnormal beat and determining the health level of the whole beat based on the score of the whole beat.
10. An apparatus, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-8.
11. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010118733.0A CN113313332A (en) | 2020-02-26 | 2020-02-26 | Beat health grade determination method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010118733.0A CN113313332A (en) | 2020-02-26 | 2020-02-26 | Beat health grade determination method, device, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113313332A true CN113313332A (en) | 2021-08-27 |
Family
ID=77370171
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010118733.0A Pending CN113313332A (en) | 2020-02-26 | 2020-02-26 | Beat health grade determination method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113313332A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007293689A (en) * | 2006-04-26 | 2007-11-08 | Sharp Corp | Production management system, production management method, and production management program |
| CN106295840A (en) * | 2015-06-09 | 2017-01-04 | 北京福田康明斯发动机有限公司 | A kind of optimize the method for production line operation, device and production line |
| CN107239064A (en) * | 2016-03-27 | 2017-10-10 | 中国食品发酵工业研究院 | A kind of method for assessing filling production lines efficiency and board state |
| CN107704994A (en) * | 2017-09-04 | 2018-02-16 | 国网浙江省电力公司电力科学研究院 | A kind of metering automation production system operation conditions appraisal procedure and system |
| CN107728585A (en) * | 2016-08-12 | 2018-02-23 | 富士通株式会社 | Line balancing device, product line balance method and computer readable recording medium storing program for performing |
| CN109556898A (en) * | 2018-11-22 | 2019-04-02 | 京东方科技集团股份有限公司 | A kind of method and storage medium of the performance mobility of determining equipment |
| CN109740847A (en) * | 2018-11-30 | 2019-05-10 | 厦门钰德服装有限公司 | Production information processing method, system and computer equipment |
| CN114611884A (en) * | 2022-02-22 | 2022-06-10 | 航天科工网络信息发展有限公司 | Method and equipment for evaluating production process of product and computer storage medium |
-
2020
- 2020-02-26 CN CN202010118733.0A patent/CN113313332A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007293689A (en) * | 2006-04-26 | 2007-11-08 | Sharp Corp | Production management system, production management method, and production management program |
| CN106295840A (en) * | 2015-06-09 | 2017-01-04 | 北京福田康明斯发动机有限公司 | A kind of optimize the method for production line operation, device and production line |
| CN107239064A (en) * | 2016-03-27 | 2017-10-10 | 中国食品发酵工业研究院 | A kind of method for assessing filling production lines efficiency and board state |
| CN107728585A (en) * | 2016-08-12 | 2018-02-23 | 富士通株式会社 | Line balancing device, product line balance method and computer readable recording medium storing program for performing |
| CN107704994A (en) * | 2017-09-04 | 2018-02-16 | 国网浙江省电力公司电力科学研究院 | A kind of metering automation production system operation conditions appraisal procedure and system |
| CN109556898A (en) * | 2018-11-22 | 2019-04-02 | 京东方科技集团股份有限公司 | A kind of method and storage medium of the performance mobility of determining equipment |
| CN109740847A (en) * | 2018-11-30 | 2019-05-10 | 厦门钰德服装有限公司 | Production information processing method, system and computer equipment |
| CN114611884A (en) * | 2022-02-22 | 2022-06-10 | 航天科工网络信息发展有限公司 | Method and equipment for evaluating production process of product and computer storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109034244B (en) | Line loss abnormity diagnosis method and device based on electric quantity curve characteristic model | |
| CN111459700B (en) | Equipment fault diagnosis method, diagnosis device, diagnosis equipment and storage medium | |
| CN108020752B (en) | Distribution line loss diagnosis method and system based on multi-source through correlation | |
| CN106921526A (en) | Intelligent campus network O＆M system | |
| CN114814420A (en) | Low-voltage distribution network topology identification method and system based on frozen data | |
| CN111178754A (en) | Energy system real-time early warning method and device | |
| CN111797530B (en) | Method, device, equipment and medium for determining weak links of power system | |
| CN113313332A (en) | Beat health grade determination method, device, equipment and storage medium | |
| CN115114124A (en) | Host risk assessment method and device | |
| CN105139122A (en) | Program operation time duration statistics method and system | |
| CN111784173A (en) | AB experiment data processing method, device, server and medium | |
| CN113177060B (en) | Method, device and equipment for managing SQL (structured query language) sentences | |
| CN108183870B (en) | Cloud data center resource scheduling and sharing method and system based on cloud maturity | |
| CN116049285A (en) | Real-time index calculation method, system, equipment and medium based on stream data | |
| CN115865617A (en) | VPN remote diagnosis and maintenance system | |
| CN114860563A (en) | Application program testing method and device, computer readable storage medium and equipment | |
| CN111628901B (en) | Index anomaly detection method and related device | |
| CN115372752A (en) | Fault detection method, device, electronic equipment and storage medium | |
| CN108363789B (en) | Short-term missing repairing method and device for electricity consumption meter data of industrial and commercial users | |
| CN112434019A (en) | Historical electric quantity tracing and cleaning method applied to household variable relation change and electric power center | |
| CN103593724B (en) | Operation states of electric power system is in, offline evaluation mixed scheduling task ranking system | |
| CN109582530A (en) | System control method, device, computer and computer readable storage medium | |
| CN112182916A (en) | Power distribution network reliability marginal benefit and marginal cost analysis method and system | |
| CN115375313B (en) | Multi-account high-speed transaction method and device, storage medium and electronic device | |
| CN113705989B (en) | Virtual power plant user response detection method based on data driving and deviation criteria |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: 266000 No. 1, Minshan Road, Qingdao area, China (Shandong) pilot Free Trade Zone, Qingdao, Shandong Applicant after: CAOS industrial Intelligence Research Institute (Qingdao) Co.,Ltd. Applicant after: Qingdao blue whale Technology Co.,Ltd. Applicant after: Haier digital technology (Qingdao) Co.,Ltd. Applicant after: Haier CAOS IOT Ecological Technology Co.,Ltd. Address before: Room 257, management committee of Sino German ecological park, 2877 Tuanjie Road, Huangdao District, Qingdao City, Shandong Province, 266510 Applicant before: QINGDAO HAIER INDUSTRIAL INTELLIGENCE RESEARCH INSTITUTE Co.,Ltd. Applicant before: Qingdao blue whale Technology Co.,Ltd. Applicant before: Haier digital technology (Qingdao) Co.,Ltd. Applicant before: Haier CAOS IOT Ecological Technology Co.,Ltd. |
|
| CB02 | Change of applicant information | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210827 |
|
| RJ01 | Rejection of invention patent application after publication |