CN109976289A - Production line KPI monitoring method, device, electronic equipment and readable medium - Google Patents
Production line KPI monitoring method, device, electronic equipment and readable medium Download PDFInfo
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- G—PHYSICS
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- 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] or computer integrated manufacturing [CIM]
- G05B19/41875—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] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
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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
- G05B2219/32368—Quality control
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- 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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Abstract
The present invention provides a kind of production line KPI monitoring method, device, electronic equipment and readable mediums, it is related to printed circuit manufacturing technology field, it is analyzed by acquiring the creation data of production line in real time, and to the creation data of production line, obtains the KPI index of production line；And rule situation and the production line are closed in the position of factory's map according to KPI index, difference displaying is carried out to the conjunction rule situation of the KPI index on factory's map；To realize the real-time statistics to every KPI of production line, the conjunction rule situation of KPI is showed in real time, staff can be concerned about abnormal point at any time on factory's map in this way, to facilitate staff to adopt remedial measures in time to the problems in production in time, abnormal sprawling and deterioration are checked, so that it is guaranteed that product quality.
Description
Technical field
The present invention relates to printed circuit manufacturing technology field, more particularly, to a kind of production line KPI monitoring method, device,
Electronic equipment and readable medium.
Background technique
KPI Key Performance Indicator (Key Performance Indicator, hereinafter referred to as KPI) is for measuring in business organization
A kind of target formula weight level of control of portion's process usually carries out performance appraisal to product line by KPI, each to understand
The operation conditions of production line.Currently, each production line KPI statistical report form of product, which uses, is manually collected statistics, due to needing
Collection data volume is big, and not only accuracy is poor, inefficiency, and is typically only capable to see the statistical report form of lag, and can not be real-time
, operating state that intuitively overarch guideline to each production line of entire factory；But production is abnormal often hidden in the running of blindness,
And the problem of constantly accumulating and spreading, find each production link by manual statistical report at this time, is often late, it can not
It adopts remedial measures in time.Therefore, existing KPI report form statistics mode cannot obtain each production line KPI of product in time, can not
In real time, the operating state of each production line of entire factory is intuitively overarched guideline to, thus can not adopt remedial measures in time, Wu Fabao
Demonstrate,prove the quality of production of product.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of production line KPI monitoring method, device, electronic equipments and can
Medium is read, every KPI of production line can be counted in real time, can in real time, intuitively overarch guideline to each life of entire factory
The operating state of producing line facilitates staff to adopt remedial measures in time to the problems in production in time, to ensure product quality.
In a first aspect, the embodiment of the invention provides a kind of production line KPI monitoring methods, comprising steps of
The creation data of acquisition production line in real time；
The creation data of the production line is analyzed, the KPI index of the production line is obtained；
Rule situation and the production line are closed in the position of factory's map according to KPI index, it is right on factory's map
The conjunction rule situation of the KPI index carries out difference displaying.
In this way, by acquiring creation data in real time, and analyzed, KPI index is obtained, KPI is referred to by factory's map
Target close rule situation be shown, thereby realize in production process, KPI index it is real-time, intuitively show.Staff's root
State according to factory's map shows, so that it may understand real-time KPI index situation.When there is the KPI index of irregularity, work people
Member can be concerned about abnormal point at any time, so as to understand the position of irregularity KPI index at the first time, take timely measure,
Check abnormal sprawling and deterioration, it is ensured that the quality of product.
With reference to first aspect, the embodiment of the invention provides second of possible embodiments of first aspect, wherein presses
Rule situation and the production line are closed in the position of factory's map, to described all on factory's map according to KPI index
The conjunction rule situation of KPI index carries out the step of difference is shown and includes:
When at least one KPI index irregularity in the KPI index of the production line, according to the production line in factory
The KPI index of the production line and irregularity is shown the first color on factory's map by the position of map；
When all KPI indexs of the production line all close rule, according to the production line in the position of factory's map, in institute
It states and the KPI index of the production line and conjunction rule is shown into the second color on factory's map；
When the production line does not burst at the seams, by the institute of the production line and the production line on factory's map
It states KPI index and shows third color.
In this way, being showed by the color of the KPI index of each production line, staff can assume overall responsibility for the production of entire factory
Situation.Showed by the color of KPI index and factory's map to irregularity, factory's map being capable of transparence, convex in real time
All kinds of exceptions clear.
With reference to first aspect, the embodiment of the invention provides second of possible embodiments of first aspect, wherein
Before the step of carrying out difference displaying to the conjunction rule situation of the KPI index on factory's map further include:
Level is divided to the KPI index according to the set membership between the KPI index, and is associated, to institute
KPI index progress hierarchical is stated to show；The last layer is used to show the production detailed data of the KPI index.
The possible embodiment of second with reference to first aspect, the embodiment of the invention provides the third of first aspect
Possible embodiment, wherein close rule situation and the production line in the position of factory's map, described according to KPI index
The step of difference is shown is carried out to the conjunction rule situation of the KPI index on factory's map further include:
When the first KPI index irregularity, to the first KPI index, associated with the first KPI index
Production line shows the first color where upper layer KPI index and the first KPI index.
In this way, carrying out difference displaying, this similar dynamic by color to abnormal point by dividing level to KPI index
Factory's map of map, by Production Line Configured on these maps, the KPI of each production line coloured can encode real-time
Show, can overarch guideline to the operation conditions of each production line of entire factory with covering all at one glance, and the data of this KPI be in real time,
The position that can know abnormal wire body immediately in the wire body a bit, advances to the production line when needing to pay close attention to the line
Next layer of more detailed KPI data is drilled into downwards the specific data of bottom from map, for the reason of detailed analysis exception,
Staff and quick focus issues are helped, abnormal problem is quickly solved.
With reference to first aspect, the embodiment of the invention provides the 4th kind of possible embodiments of first aspect, wherein institute
State method further include:
Situation is advised according to the conjunction of the KPI index, the KPI index for occurring abnormal is aggregated into warning message and is pushed,
And/or stop line signal to the transmission of production line control terminal.
With reference to first aspect, the embodiment of the invention provides the 5th kind of possible embodiments of first aspect, wherein institute
State method further include:
Before production line starting, process certification is carried out to the production line；
After process certification passes through, Xiang Suoshu production line control terminal sends the signal that bursts at the seams.
It is the important prerequisite that production line normally bursts at the seams to being verified before production to technological parameter.
Second aspect, the embodiment of the invention provides a kind of production line KPI monitoring devices, including acquisition module, analysis mould
Block and display module；
The acquisition module for acquiring the creation data of production line in real time；
For analyzing the creation data of the production line, the KPI for obtaining the production line refers to the analysis module
Mark；
The display module is used to close rule situation and the production line according to KPI index in the position of factory's map,
Difference displaying is carried out to the conjunction rule situation of the KPI index on factory's map.
In conjunction with second aspect, the embodiment of the invention provides second of possible embodiments of first aspect, wherein institute
Stating display module includes the first display module, the second display module and third display module；
First display module is used for when at least one KPI index irregularity in the KPI index of the production line,
According to the production line in the position of factory's map, the KPI of the production line and irregularity is referred on factory's map
Mark shows the first color；
Second display module is used for when all KPI indexs of the production line all close rule, according to the production line
In the position of factory's map, the KPI index of the production line and conjunction rule is shown into the second color on factory's map；
The third display module is used for when the production line does not burst at the seams, by the production on factory's map
The KPI index of line and the production line shows third color.
The third aspect the embodiment of the invention provides a kind of electronic equipment, including memory, processor and is stored in described
On memory and the computer program that can run on the processor, the processor are realized when executing the computer program
The program of first aspect the method.
Fourth aspect, the embodiment of the present invention also provide a kind of non-volatile program code that can be performed with processor
Computer-readable medium, said program code makes the processor execute method as described in relation to the first aspect.
The embodiment of the present invention brings following the utility model has the advantages that creation data of the present invention by acquisition production line in real time, root
KPI index is obtained according to real-time creation data, then situation is advised to the conjunction of KPI index by factory's map and carries out difference displaying, from
And realize to the KPI index of production line it is real-time, intuitively show, help staff to find asking for each production link in time
Topic, to adopt remedial measures in time, so that the quality of production for product provides safeguard.
Other features and advantages of the present invention will illustrate in the following description, also, partly become from specification
It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention are in specification, claims
And specifically noted structure is achieved and obtained in attached drawing.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 is the flow chart for the production line KPI monitoring method that the embodiment of the present invention one provides；
Fig. 2 is the production monitoring flow chart for the production line KPI monitoring method that the embodiment of the present invention one provides；
Fig. 3 is the schematic diagram of production line KPI monitoring device provided by Embodiment 2 of the present invention；
Fig. 4 is the schematic diagram for the electronic equipment that the embodiment of the present invention three provides.
Icon:
10- acquisition module；20- analysis module；30- display module；40- electronic equipment；400- processor；401- storage
Device；402- bus；403- communication interface.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with attached drawing to the present invention
Technical solution be clearly and completely described, it is clear that described embodiments are some of the embodiments of the present invention, rather than
Whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not before making creative work
Every other embodiment obtained is put, shall fall within the protection scope of the present invention.
Currently, plant produced line is numerous, it is distributed in different workshops, different floors can not have a guide look of full factory and integrally produce
The operation conditions of line.The KPI statistical report form of enterprise's production line acquires the number of the subsystem of some dispersions using manually being counted
According to, not only inefficiency, time-consuming and laborious, and generally can only see the statistical report form of lag, inaccuracy, not in time, Wu Fashi
When, the problem of intuitively overarching guideline to the operating state of each production line of entire factory, can not finding each production link in time, thus
It can not adopt remedial measures in time.And continuous sprawling, the continuous drift of technological parameter of the various problems such as Quality Accident in producing
It moves, the delay of the increasingly weak of equipment state, material supplement, these problems are constantly accumulated, can be breeded big mistakes eventually, cause serious
Production accident, so as to cause serious customer complaint, the prestige of enterprise incurs loss, and competitiveness is queried, and consequence is not suitable
Seriously.
Based on this, a kind of production line KPI monitoring method, device, electronic equipment and readable Jie provided in an embodiment of the present invention
Matter, can be for statistical analysis to every KPI of production line in real time, and staff is facilitated to adopt in time to the problems in production in time
Remedial measure is taken, to ensure product quality.
To be monitored to a kind of production line KPI disclosed in the embodiment of the present invention first convenient for understanding the present embodiment
Method describes in detail.
Embodiment one:
Referring to Fig.1, a kind of production line KPI monitoring method provided in this embodiment, by taking PCBA is manufactured as an example, comprising steps of
S100 acquires the creation data of production line in real time；
Specifically, PCBA production procedure include material issuance, basic baking, for plate, paste solder printing, put fixed glue, printing visual inspection,
High speed machine patch, it is general with machine patch, compared after visual inspection, Reflow Soldering, furnace before reflow visual inspection, repairing, plug-in unit, wave-soldering, ICT/FT,
Repairing, assembly/visual inspection, product examine, repairing and storage etc..Required equipment includes paste solder printing substantially in PCBA production process
Machine, chip mounter, Reflow Soldering, AOI detector, component pinrshape, wave-soldering, tin furnace, board-washing machine, ICT test fixture, FCT are surveyed
Try jig, aging testing rack etc.；The production that production line carries out above-mentioned production procedure is constituted by above equipment.
The creation data of acquisition mainly includes technological parameter, device status data, product data, process data, personnel's number
According to, material data, environmental data etc..The acquisition of data is real-time, and a part is from MES system (Manufacturing
Execution System, manufacturing enterprise's production process execute system) background data base directly acquires, and such as technological parameter produces
Product data etc., a part are by acquisitions such as monitoring device, sensors, such as device status data, environment temperature, ambient humidity
Deng.
S200 analyzes the creation data of production line, obtains the KPI index of production line；
Preferably, it carries out KPI algorithm to the data of acquisition to collect, wherein the calculation method of each KPI index is different, example
Such as, utilization rate of equipment and installations=practical set parts number/theory can assembling element number.Obtained KPI index includes quality element index
Such as first-pass yield FPY, ratio of defects, DPPM, efficiency factor index such as UPH, utilization rate of equipment and installations, downtime, RTY, OEE etc., at
This index such as material casting rate.In this way by extracting quality element index and efficiency factor index in production process, realize to life
The quality of production and the quantification monitoring of efficiency.
S300 closes rule situation and production line in the position of factory's map, to KPI on factory's map according to KPI index
The conjunction rule situation of index carries out difference displaying.
Specifically, each KPI index has respective gauge wire, by by real-time KPI index value and respective specification
Line, which compares, judges whether real-time KPI index closes rule.Closing rule situation includes beyond gauge wire, line up to specification and being lower than gauge wire
Deng.
Preferably, the KPI index of production line and each production line is shown on factory's map.Wherein, production line is in factory
Position on figure is determined according to the actual geographic position of production line.Specific method is, first according to production line actual geographic
Position defines the map reference of production line, and production line is drawn on map according to the map reference of production line；For every production line
ID number is set, the ID number of the KPI index of the production line is associated with by force with the production line, will thus belong to same production
The KPI index of line is associated with the production line on factory's map.
By acquire the technological parameter of PCBA production line, device status data, product data, process data, demographic data,
The creation datas such as material data, environmental data, to creation data carry out KPI analysis, obtain about quality element, efficiency factor and
The KPI index of cost element etc., and situation is advised to the conjunction of each KPI index by factory's map and is showed, realize PCBA
The KPI index of production line shows in real time, intuitively.
Further, step S300 includes:
When at least one KPI index irregularity in the KPI index of production line, according to production line in the position of factory's map
It sets, the KPI index of production line and irregularity is shown into the first color on factory's map；
When all KPI indexs of production line all close rule, according to production line in the position of factory's map, on factory's map
Production line and the KPI index for closing rule are shown into the second color；
When production line does not burst at the seams, the KPI index of production line and production line is shown into third face on factory's map
Color.
Preferably, as long as when there is a KPI index irregularity in the KPI index of production line, according to production line in factory
The KPI index of production line and irregularity is shown red on factory's map by the position of map；
When all KPI indexs of production line all close rule, according to production line in the position of factory's map, on factory's map
Production line and the KPI index for closing rule are shown into green；
When production line does not burst at the seams, the KPI index of production line and production line is shown into grey on factory's map.
Specifically, when rule are closed in judgement, judged by gauge wire or specification limit.KPI index is different, gauge wire or
Specification limit is different；Moreover, the case where irregularity, close rule the case where can there are many.For example, for a certain KPI index, when super
Out when its gauge wire, the corresponding production line will be set as red in real time on factory's map；If the institute on the production line
There is KPI index all to meet respective gauge wire, which will be arranged to green on factory's map；If on the production line
Some KPI index only reached the 95% of corresponding specification line, which will be set as yellow on factory's map；If the life
Producing line does not produce, and all KPI export void value, then the production line will be displayed as grey on map.In this way, closing rule
Situation reaches gauge wire, and reach the 95% of gauge wire with regard to there are two types of, and two kinds of situations show green and yellow respectively.
Gauge wire is usually a range, such as in above-mentioned example, and closing the 95% of gage line to the value closed between gage line is all
Close rule.The range is dynamic, such as in above-mentioned example, with the continuous improvement to quality requirements, may be set to close gage line
97% to close gage line between value all be close rule.
Further, it before step S300, further comprises the steps of:
Level is divided to KPI index according to the set membership between KPI index, and is associated, to be carried out to KPI index
Hierarchical shows；The last layer is used to show the production detailed data of KPI index.
Specifically, level is carried out according to the set membership between each KPI index in the KPI index system constructed in advance to draw
Point, wherein the KPI indicator-specific statistics of next stage is aggregated to form the KPI index of upper level, and the KPI index of each level has specification fixed
Justice.
Associated process is to be each KPI setup measures ID, be attached according to the set membership between KPI index,
Form the tree structure that father and son is connected.In this way, the ID of next layer of KPI index can be enumerated from the ID of the KPI index of top layer,
The KPI index for clicking next layer, into the KPI index of more next stage.
The foundation of different KPI indexs, layering is different, causes layering different, the number of plies is also different.For example, for leading to for the first time
Rate index is crossed, first layer (factory's map) is the first passage rate of all production lines of whole factory, and the second layer shows a certain production
The first passage rate index of line, third layer show the first passage rate index of a certain erect-position of the production line, the 4th layer of (production
Detail layer) show all detailed datas of the erect-position.The layering of above-mentioned KPI index be the position of KPI index in the factory into
Row layering, i.e., it is successively layered according to the foundation of whole factory, certain production line, certain erect-position, the last layer is certain erect-position
Detailed data.
In another example first layer factory map layer shows the state of all KPI indexs of current manufacturing lines for yield index；
Second layer yield curved layer shows the curve that multiple hours yields are constituted in production process, and shows yield per hour
History list；Third layer is the test result layer of all products in some hour, shows the yield record of some hour, and
List the product test result of this all hours；The last layer is the detail layer of some product, shows some test result
Detailed record.The layering of above-mentioned KPI index is not to be layered according to the position in KPI index again factory, but press
According to multiple hours yield curves, the yield curve of some hour, all product test results in some hour, some
What the test result of product was layered in this way.
Set membership refers to that several KPI indexs are aggregated to form another KPI index, then another KPI index is this
The parent of several KPI indexs, these KPI indexs are the sub- grades of another KPI index.The first passage of whole all production lines of factory
Rate and the first passage rate of wherein a certain production line are set memberships.
The conjunction rule situation of KPI index is shown and KPI index is combined to be layered, not only can in real time, intuitively be showed
KPI index, and can arrive the bottom by the level that successively counts, will be most detailed data, that is, problem are specific
Data occur to be showed.For example, yield is showed on current every production line by first layer (factory's map) and is owned
The state of KPI, the second layer can show the number of the first-pass yield of each hour, DPPM, the quantity of substandard product, qualified products
Amount, wrong report quantity etc.；If it is problematic to show the yield of one of them hour by color (as red), into third layer,
Third layer lists the test result of the product of this all hours, shows (as red) which can intuitively see by color
Several products are problematic；Some problematic product is clicked to enter, into the 4th layer, the 4th layer of detailed survey for listing the product
Trial record is shown by color (as red), it can be seen which element is problematic, which pad is problematic, and such as short circuit is opened
Road, even tin etc..In this way, successively being drilled by successively showing, so that it may the final root that orientation problem occurs, and carry out quick
Positioning maintenance, increases maintenance efficiency, effectively promotion product quality.
The last layer is production detailed data, wherein production detailed data can be the creation data initially acquired.
Further, step S300 further include:
When the first KPI index irregularity, to the first KPI index, upper layer KPI index associated with the first KPI index
And the first production line where KPI index show the first color.
Preferably, when the first KPI index irregularity, to the first KPI index, upper layer associated with the first KPI index
Production line where KPI index, the first KPI index shows red.
In this way, exception is indicated if a certain production line is shown in red on factory's map, then clicking the production
Line, into the KPI indicator layer of next stage, some KPI index is displayed in red exception, clicks the KPI index of the exception, due to
It is associated when between KPI index by set membership, then up to clicking the KPI indicator layer beyond gauge wire, thus
Have found the KPI index of the irregularity.Staff clicks to next stage accordingly, until production detailed data, to find
The root of problem.In this way, the problem of being successively drilled into time one layer from top layer, obtaining bottom reason data, such as wave ocean
Green onion tracks bottom from level to level, and problem is emerged out, realizes successively tracking.
For example, SMT is when pasting material, because machine is unstable or material is abnormal, will lead to suction nozzle can not adsorb material, and cause
Material casting thus has material casting rate index, this KPI index is the very useful technical indicator to stabilization of equipment performance.For throwing
The production line of material rate index, first layer, factory's map material casting rate exception is displayed in red；The totality of production line where the second layer is shown
Whether material casting rate is up to standard, gauge wire 0.05%, if material casting rate is less than 0.05% in real time, by display green, if thrown in real time
Material rate is greater than 0.05%, will be displayed in red.Third layer, it is seen that in the material casting rate index of 4 production equipments of the production line, which is
The material casting of a production equipment exceeds the gauge wire of this layer of material casting rate, will be displayed in red.4th layer is production detail layer, is clicked and entered red
Display is specifically which material material casting is exceeded, has thrown how many, which is corresponded to by the production equipment material casting rate index of the abnormal material casting of color
A feeder, such staff can be positioned to safeguard the feeder, or adjust the material.
In another example, by the above-mentioned means, successively being excavated, finding the underproof product of certain block, most bottom to yield index
The production detail layer of layer will be seen that the test of the product records in detail, it can be seen that be which component error or which pad
Malfunction, such as short circuit, open circuit, even tin etc., so we can the final root that occurs of orientation problem, and carry out it is quickly fixed
Position maintenance, increases maintenance efficiency, improves product quality.
The Technical Architecture of the present embodiment uses four layer architectures: expression layer (decision layer), operation layer
(operation layer), execution level (execution layer) and service layer (service layer), specifically include control
Module, KPI algoritic module, data memory module, production data acquisition module, link block, physical equipment module.Wherein, it controls
Molding block is as decision-making level for showing data, and KPI algoritic module and data memory module are as operation layer, production data acquisition
Module and link block are as execution level, and physical equipment module is as service layer.Link block includes wireless telecom equipment, wired
Communication equipment and interchanger；Part PCBA apparatus for production line is connect by wireless device with interchanger, and part PCBA production line is set
It is standby to be connect by wire communication facility with interchanger.Physical equipment module includes MES system, the monitoring device for acquiring creation data
And various sensors such as temperature sensor etc..
The KPI monitoring method of the present embodiment can not only carry out entirety intuition to whole factory's production status by factory's map
Show, additionally it is possible to KPI hierarchy slicing is showed, KPI data is allowed to give birth in real time from plane to three-dimensional analogue simulation production line
Running is produced, so that the control of the quality and efficiency of production is more intuitive, faster and more effective；Can timely quantizating index, allow
Abnormal problem increasingly highlights, and staff is helped to track the basic reason of problem, manager and executor one to production
A specific improvement direction, so that production line under conditions of continuous perfect in real time, tend to be mature and stablizes, it is ensured that production line
High reliability and productibility, it is ensured that the quality of product is improved customer satisfaction, and the core competitiveness of company is promoted.
In PCBA production process, there are three types of KPI indexs: KPI, running KPI, postrun KPI before operation.
KPI index, is whether to have the associated verification index of the product of quality of production qualification to production line before running, packet
The verifying index of processing procedure, Process configuration and parameter configuration is included, if the quality of production that technique can meet the product with parameter is wanted
It asks, which will be up to standard, and signal up to standard is automatically transferred to the control terminal of production line, so that production line control terminal starts switch,
Production line is allowed to circulate.
KPI index in operation is the index of correlation monitored in real time to the quality of production process each product, to work
The real time monitoring of skill parameter, to the real time monitoring of device efficiency, to guarantee the product quality of production operation, technological parameter
Correctly, equipment state is good.
Postrun KPI index, all work dealt with problems arising from an accident after producing order, such as stacks area to WIP, finished product, stops
KPI index real time monitoring after staying the productions such as time, shipment date, shipment state to operate；Historical trend is looked back, with right
It further promotes subsequent product quality and efficiency provides the foundation of assessment with analysis.
Referring to Fig. 2, the monitoring process of the present embodiment includes the following steps:
Step 1, the data of PCBA production line are acquired in real time.
Step 2, to the KPI of product quality, device efficiency, technique health, personnel's technical ability, material state, ambient condition etc.
It is calculated in real time.
Step 3, calculated result is passed into factory's map.
Step 4, before production line starting, process certification is carried out to production line.
For example, when the product of PCBA production line is transformed into another model from a model, i.e., when next product into
When row turns line, process certification is carried out to production line.Process certification checks whether the technological parameter of each equipment is correct.Confirm work
Skill verifies whether to pass through, if do not passed through, cannot formally burst at the seams.
Wherein, technological parameter include be on duty personnel's technical ability parameter, equipment health parameter, tool configuration status parameter,
Material supplements state parameter, technological parameter specification, ambient condition parameter, customer complaint solution parameter, initial workpiece product validation parameter.
Step 5, after process certification passes through, the signal that bursts at the seams is sent to production line control terminal.
Step 6, the data of PCBA production line are acquired in real time, and quality element and efficiency factor are carried out by factory's map
Implement monitoring.
Quality element includes the test first-pass yield of tin cream test machine, the test first-pass yield of optics automatic test machine, online electricity
The unit hour of the test DPPM for testing first-pass yield, test machine of drive test test-run a machine, test machine pass through quantity and failure quantity.Efficiency
Element includes UPH, utilization rate of equipment and installations, downtime, RTY, OEE.The indicator of costs can be also monitored, such as material casting rate；
Step 7, situation is advised according to the conjunction of KPI index, the KPI index for occurring abnormal is aggregated into warning message and is pushed away
It send, and/or stops line signal to the transmission of production line control terminal.
Specifically, according to factory's map show in real time as a result, when there is abnormal KPI data, trigger mail reminder,
Staff is helped to solve the exception that KPI is warned within the shortest time.
It, can fast automatic feedback production line when KPI is abnormal.Different replies is enabled different grades of exception automatically
Strategy, or stop line or alarm or send out mail or adjusting process parameter etc., the exception quoted in this way to KPI is timely closed
Ring reply, to be automatically prevented from abnormal further sprawling and deterioration.
Step 8, after production, factory's map will analyze related data.
The KPI index of analysis can be tests percent of pass, yield, eventually by rate, environment temperature, humidity etc. for the first time, raw
All test datas (such as tin cream thickness, tin cream volume, tin cream area) in relation to the product, the technique ginseng acquired during producing
Number data (temperature, speed, pressure, vacuum etc.), employee's data (skills training qualification), equipment operation efficiency data (OEE,
Downtime, stop code, utilization rate), the material casting data of equipment, to the KPI data that data calculate, that is, including all lifes
Produce operational data.The set of these data can reproduce production scene at that time, and it is abnormal to highlight abnormal quality at that time, efficiency.
Continue to monitor above-mentioned data, these historical datas are shown by factory's map, staff can be helped
The quality and efficiency of this production are analyzed and summarized, to provide reference for production next time.
The present embodiment has the beneficial effect that:
The product data of acquisition production line, device data, process data, demographic data, material data, environment number in real time
According to real time monitoring of the realization to the quality efficiency of production process；KPI algorithm is carried out to collected data to collect, and extracts production
Quality element index and efficiency factor index in the process are realized to the quality of production and the quantification monitoring of efficiency；KPI index point
For quality index, such as first-pass yield FPY, ratio of defects, DPPM；Efficiency index, such as UPH, utilization rate of equipment and installations, downtime, RTY,
OEE；The indicator of costs, such as material casting rate；Analogue simulation is carried out to plant produced line by factory's map, makes KPI index imitative in factory
Transparence is obtained in genuine logical space, intuitiveization, real time implementation sufficiently show；It can be since factory's map, to abnormal point
Successively probing downwards is carried out, tracks the bottom of problem generation, the problem that notes abnormalities occurrence cause always, and quickly focus different
Chang Wenti, to quickly solve abnormal problem；KPI is abnormal, can fast automatic feedback production line, to different grades of exception
Automatically different countermeasures is enabled, or stops line or alarm or hair mail or adjusting process parameter etc., KPI is quoted different
Often, there is timely closed loop reply, to be automatically prevented from abnormal further sprawling and deterioration；
, the verifying of technological parameter is carried out before production line bursts at the seams and produces, and verifies whether its Process configuration meets production currently
The specification of product needs, and the parameter of verifying includes the technical ability for the personnel of being on duty, the health status of equipment, the configuration status of tool, object
The supplement state of material, the specification of technological parameter, the state of environment, the solution of customer complaint problem, the confirmation of initial workpiece product.Factory
The Various types of data in production process is acquired in map operation in real time, realizes production process to the real time monitoring of quality and efficiency, packet
Include UPH, FPY, DPPM, OEE, Downtime etc..After the completion of production, the historical data of KPI index is subsequent quality and efficiency
Promotion support is provided, to be monitored in real time to goods in process inventory WIP, delivery quantity, time of delivery, storage area etc..
Embodiment two
Referring to Fig. 3, a kind of production line KPI monitoring device provided in this embodiment, including acquisition module 10, analysis module 20
With display module 30；
Acquisition module 10 for acquiring the creation data of production line in real time；
Analysis module 20 obtains the KPI index of production line for analyzing the creation data of production line；
Display module 30 is used to close rule situation and production line in the position of factory's map, in factory according to KPI index
Difference displaying is carried out to the conjunction rule situation of KPI index on figure.
Further, display module 30 includes the first display module, the second display module and third display module；
First display module is used for when at least one KPI index irregularity in the KPI index of production line, according to production
The KPI index of production line and irregularity is shown the first color on factory's map in the position of factory's map by line；
Second display module is used for when all KPI indexs of production line all close rule, according to production line in factory's map
The KPI index of production line and conjunction rule is shown the second color on factory's map by position；
Third display module is used for when production line does not burst at the seams, by production line and the KPI of production line on factory's map
Index shows third color.
It further, further include hierarchical block, hierarchical block is for referring to KPI according to the set membership between KPI index
Mark divides level, and is associated, and is showed with carrying out hierarchical to KPI index；The last layer is used to show the production of KPI index
Detailed data.
Further, hierarchical block further includes layering display module, and layering display module is used to not conform to when the first KPI index
When rule, to production line where the first KPI index, upper layer KPI index associated with the first KPI index and the first KPI index
Show the first color.
It further, further include alarm module, alarm module is used to advise situation according to the conjunction of KPI index, will occur abnormal
KPI index be aggregated into warning message and pushed, and/or stop line signal to the transmission of production line control terminal.
Further, further include process certification module, process certification module is used for before production line starting, to production line into
Row process certification；After process certification passes through, the signal that bursts at the seams is sent to production line control terminal.
The technical effect and preceding method embodiment phase of device provided by the embodiment of the present invention, realization principle and generation
Together, to briefly describe, Installation practice part does not refer to place, can refer to corresponding contents in preceding method embodiment.
Embodiment three:
Referring to Fig. 4, the embodiment of the invention also provides a kind of electronic equipment 40, including bus 402, communication interface 403, deposit
Reservoir 401 and processor 400, processor 400, communication interface 403 and memory 401 are connected by bus 402；Above-mentioned storage
Device 401 is used to store the computer program for supporting processor 400 to execute one method of above-described embodiment, and above-mentioned processor 400 is matched
It is set to for executing the program stored in the memory 401.
Further, the embodiment of the present invention also provides a kind of meter of non-volatile program code that can be performed with processor
Calculation machine readable medium, program code make processor execute the method as described in above-described embodiment one.
Finally, it should be noted that embodiment described above, only a specific embodiment of the invention, to illustrate the present invention
Technical solution, rather than its limitations, scope of protection of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair
It is bright to be described in detail, those skilled in the art should understand that: anyone skilled in the art
In the technical scope disclosed by the present invention, it can still modify to technical solution documented by previous embodiment or can be light
It is readily conceivable that variation or equivalent replacement of some of the technical features；And these modifications, variation or replacement, do not make
The essence of corresponding technical solution is detached from the spirit and scope of technical solution of the embodiment of the present invention, should all cover in protection of the invention
Within the scope of.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. a kind of production line KPI monitoring method, which is characterized in that comprising steps of
The creation data of acquisition production line in real time；
The creation data of the production line is analyzed, the KPI index of the production line is obtained；
Rule situation and the production line are closed in the position of factory's map, to described on factory's map according to KPI index
The conjunction rule situation of KPI index carries out difference displaying.
2. production line KPI monitoring method according to claim 1, which is characterized in that according to KPI index close rule situation, with
And the production line distinguishes the conjunction rule situation of the KPI index on factory's map in the position of factory's map
The step of displaying includes:
When at least one KPI index irregularity in the KPI index of the production line, according to the production line in factory's map
Position, on factory's map by the KPI index of the production line and irregularity show the first color；
When all KPI indexs of the production line all close rule, according to the production line in the position of factory's map, in the work
The KPI index of the production line and conjunction rule is shown into the second color on the figure of factory site；
When the production line does not burst at the seams, by the production line and the KPI of the production line on factory's map
Index shows third color.
3. production line KPI monitoring method according to claim 1, which is characterized in that described on factory's map
The conjunction rule situation of KPI index carries out before the step of difference is shown further include:
Level is divided to the KPI index according to the set membership between the KPI index, and is associated, to the KPI
Index carries out hierarchical and shows；The last layer is used to show the production detailed data of the KPI index.
4. production line KPI monitoring method according to claim 3, which is characterized in that according to KPI index close rule situation, with
And the production line distinguishes the conjunction rule situation of the KPI index on factory's map in the position of factory's map
The step of displaying further include:
When the first KPI index irregularity, to the first KPI index, upper layer associated with the first KPI index
Production line shows the first color where KPI index and the first KPI index.
5. production line KPI monitoring method according to claim 1, which is characterized in that the method also includes:
Situation is advised according to the conjunction of the KPI index, the KPI index for occurring abnormal is aggregated into warning message and is pushed, and/or
Stop line signal to the transmission of production line control terminal.
6. production line KPI monitoring method according to claim 1, which is characterized in that the method also includes:
Before production line starting, process certification is carried out to the production line；
After process certification passes through, Xiang Suoshu production line control terminal sends the signal that bursts at the seams.
7. a kind of production line KPI monitoring device, which is characterized in that including acquisition module, analysis module and display module；
The acquisition module for acquiring the creation data of production line in real time；
The analysis module obtains the KPI index of the production line for analyzing the creation data of the production line；
The display module is used to close rule situation and the production line according to KPI index in the position of factory's map, described
Difference displaying is carried out to the conjunction rule situation of the KPI index on factory's map.
8. production line KPI monitoring device according to claim 7, which is characterized in that the display module includes the first exhibition
Show module, the second display module and third display module；
First display module is used for when at least one KPI index irregularity in the KPI index of the production line, according to
The production line is in the position of factory's map, by the KPI index exhibition of the production line and irregularity on factory's map
Show the first color；
Second display module is used for when all KPI indexs of the production line all close rule, according to the production line in work
The KPI index of the production line and conjunction rule is shown the second color on factory's map by the position of factory site figure；
The third display module be used for when the production line does not burst at the seams, on factory's map by the production line, with
And the KPI index of the production line shows third color.
9. a kind of electronic equipment, including memory, processor and it is stored on the memory and can transports on the processor
Capable computer program, which is characterized in that the processor realizes the claims 1 to 6 when executing the computer program
The step of described in any item methods.
10. a kind of computer-readable medium for the non-volatile program code that can be performed with processor, which is characterized in that described
Program code makes the processor execute described any the method for claim 1-6.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112214496A (en) * | 2020-10-24 | 2021-01-12 | 陈龙龙 | Cosmetic production line safety monitoring method based on big data analysis and cloud server |
| CN112381429A (en) * | 2020-11-20 | 2021-02-19 | 联通(浙江)产业互联网有限公司 | Manufacturing enterprise multi-level KPI system reconstruction method, device and equipment |
| CN112859774A (en) * | 2021-01-04 | 2021-05-28 | 东山精密新加坡有限公司 | Factory key performance index monitoring system |
| TWI760975B (en) * | 2020-12-17 | 2022-04-11 | 凌華科技股份有限公司 | SMT machine throwing analysis and abnormal notification system and method |
| CN116520788A (en) * | 2023-07-03 | 2023-08-01 | 深圳市微克科技有限公司 | Automatic production control method and system for wearable equipment and readable storage medium |
| CN116909239A (en) * | 2023-09-13 | 2023-10-20 | 众禾智慧(山东)科技有限公司 | Multi-device collaborative operation system and method for Internet of things |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104376092A (en) * | 2014-11-21 | 2015-02-25 | 广东省电子技术研究所 | Method and system based on map optimization equipment management |
| CN107590181A (en) * | 2017-08-01 | 2018-01-16 | 佛山市深研信息技术有限公司 | A kind of intelligent analysis system of big data |
| CN107590198A (en) * | 2017-08-16 | 2018-01-16 | 浙江力太科技有限公司 | A kind of data visualization management method of industrial Internet of Things |
| CN107909215A (en) * | 2017-11-30 | 2018-04-13 | 成都飞机工业（集团）有限责任公司 | A kind of production logistics and early warning visual presentation method |
| CN107947963A (en) * | 2017-10-24 | 2018-04-20 | 北京天元创新科技有限公司 | A kind of alarm method and device of the network topology link based on GIS map |
| CN207638691U (en) * | 2017-11-17 | 2018-07-20 | 广州中国科学院沈阳自动化研究所分所 | A kind of digitlization workshop network and data exchange system |
| CN108803542A (en) * | 2018-08-01 | 2018-11-13 | 武汉索雅信息技术有限公司 | Industrial production data manages system |
| JP2019040527A (en) * | 2017-08-28 | 2019-03-14 | 株式会社オービック | Kpi formulation data collection device, kpi formulation data collection method, and kpi formulation data collection program |
-
2019
- 2019-04-25 CN CN201910343348.3A patent/CN109976289B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104376092A (en) * | 2014-11-21 | 2015-02-25 | 广东省电子技术研究所 | Method and system based on map optimization equipment management |
| CN107590181A (en) * | 2017-08-01 | 2018-01-16 | 佛山市深研信息技术有限公司 | A kind of intelligent analysis system of big data |
| CN107590198A (en) * | 2017-08-16 | 2018-01-16 | 浙江力太科技有限公司 | A kind of data visualization management method of industrial Internet of Things |
| JP2019040527A (en) * | 2017-08-28 | 2019-03-14 | 株式会社オービック | Kpi formulation data collection device, kpi formulation data collection method, and kpi formulation data collection program |
| CN107947963A (en) * | 2017-10-24 | 2018-04-20 | 北京天元创新科技有限公司 | A kind of alarm method and device of the network topology link based on GIS map |
| CN207638691U (en) * | 2017-11-17 | 2018-07-20 | 广州中国科学院沈阳自动化研究所分所 | A kind of digitlization workshop network and data exchange system |
| CN107909215A (en) * | 2017-11-30 | 2018-04-13 | 成都飞机工业（集团）有限责任公司 | A kind of production logistics and early warning visual presentation method |
| CN108803542A (en) * | 2018-08-01 | 2018-11-13 | 武汉索雅信息技术有限公司 | Industrial production data manages system |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112214496A (en) * | 2020-10-24 | 2021-01-12 | 陈龙龙 | Cosmetic production line safety monitoring method based on big data analysis and cloud server |
| CN112381429A (en) * | 2020-11-20 | 2021-02-19 | 联通(浙江)产业互联网有限公司 | Manufacturing enterprise multi-level KPI system reconstruction method, device and equipment |
| TWI760975B (en) * | 2020-12-17 | 2022-04-11 | 凌華科技股份有限公司 | SMT machine throwing analysis and abnormal notification system and method |
| CN112859774A (en) * | 2021-01-04 | 2021-05-28 | 东山精密新加坡有限公司 | Factory key performance index monitoring system |
| CN116520788A (en) * | 2023-07-03 | 2023-08-01 | 深圳市微克科技有限公司 | Automatic production control method and system for wearable equipment and readable storage medium |
| CN116909239A (en) * | 2023-09-13 | 2023-10-20 | 众禾智慧(山东)科技有限公司 | Multi-device collaborative operation system and method for Internet of things |
| CN116909239B (en) * | 2023-09-13 | 2023-12-01 | 众禾智慧(山东)科技有限公司 | Multi-device collaborative operation system and method for Internet of things |
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|---|---|
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