JP3974072B2 - Mounting board production system - Google Patents

Description

[0001]
[Industrial application fields]
The present invention relates to a mounting board production system that mounting components on a substrate.
[0002]
[Prior art]
A conventional example of a mounting board production system will be described with reference to FIG.
[0003]
As shown in FIG. 9, the solder printing unit 101, the component mounting unit 102, and the soldering unit 103 are sequentially arranged from the upstream side along the board transfer line 110.
[0004]
In the solder printing unit 101, the solder printing unit 104 prints cream solder on a land of a printed material such as a substrate. The solder printing inspection unit 105 inspects the state of the board and the solder printing unit 101 and the printing state.
[0005]
In the component mounting unit 102, the component mounting means 106 moves the suction nozzle by the XY driving device, the suction nozzle transfers the electronic component from the component supply position to the mounting position on the substrate, and the cream printed on the land of the substrate. Mount electronic components on the solder. The electronic component is mounted while managing a suction error of the suction nozzle by a component recognition camera. The component mounting inspection unit 107 inspects the state of the component and the component mounting unit 102 and the component mounting state.
[0006]
In the soldering unit 103, the soldering means 108 melts the solder by hot air from the heater and the fan in the reflow furnace on the board that is solder-printed and mounted with the electronic components and placed on the conveyor. Cool, harden and solder. The soldering inspection means 109 inspects the state of the soldering part 103 and the state of soldering.
[0007]
When a trouble occurs in the equipment, the equipment stops, a trouble message is displayed on the monitor of each equipment, and the machine operator performs a recovery process based on the message.
[0008]
In addition, as preventive maintenance, predetermined maintenance is performed on each facility at the time determined by the machine operator.
[0009]
In addition, the quality of products is independently calculated and analyzed independently of equipment troubles and maintenance.
[0010]
In addition, the quality of equipment is independently calculated and analyzed independently of equipment trouble and maintenance.
[0011]
[Problems to be solved by the invention]
However, in the above configuration of the conventional example, data relating to product inspection, trouble handling, and maintenance execution is aggregated and analyzed in a state where they are not independently correlated with each other.・ In the analysis system, there is a problem in that it is impossible to predict or estimate the result from the cause, the cause from the result, and the result from the maintenance or action between the inspection of the product, troubleshooting, and maintenance. is there.
[0012]
As described above, since the results cannot be predicted and estimated, there is a problem that equipment troubles and product defects occur suddenly and stable quality cannot be ensured.
[0013]
In addition, since the prediction and estimation of the result cannot be performed, there is a problem that excessive or insufficient maintenance is inevitable.
[0014]
In addition, the handling of the troubles that occur is also ad hoc, and is highly dependent on the experience of experienced operators, and cannot be quantified or ruled, making it difficult to take appropriate measures quickly and trouble. There is a problem that a long time is required for the chute, failure factor analysis and failure countermeasures are greatly delayed, a large amount of failures are generated, and the equipment operation rate is significantly reduced.
[0015]
The present invention solves the above-mentioned problems, and equipment trouble information, equipment quality information, product quality information, maintenance information, and maintenance result information are aggregated and analyzed, and from this aggregation and analysis result, It has an object to provide a mounting board production system comprising a maintenance instruction system that can predict maintenance.
[0016]
[Means for Solving the Problems]
This onset Ming, in order to solve the above problems, a solder having a solder printing inspection means for inspecting the quality of products that are produced the solder printing state and therein the solder printing means for printing solder on a substrate of a land A component mounting unit comprising: a printing unit; a component mounting unit that mounts a component at a predetermined position of the printed solder; and a component mounting inspection unit that inspects the mounting state of the component and the quality of a product produced therein; Mounting board production comprising soldering means for melt-curing and soldering the printed solder, and a soldering section having soldering state and the soldering inspection means for inspecting the state of soldering and the quality of the product produced therein in the system, the equipment trouble information collecting means for collecting equipment trouble information concerning equipment trouble occurs in one of the facilities and the soldering portion solder printing portion and the component mounting section And facilities quality information collection means for collecting equipment quality information about the quality of the equipment in any of the facilities and the soldering portion solder printing portion and the component mounting portion, one of equipment and the soldering portion solder printing portion and the component mounting section Product quality information collecting means for collecting product quality information related to the quality of products produced in the factory , maintenance information on maintenance performed in any of the solder printing unit, component mounting unit and soldering unit , solder printing unit and parts Maintenance means information related to the results of maintenance carried out in either the installation part or the soldering part , and storage means for storing the collected equipment trouble information, equipment quality information, product quality information, and storage means Maintenance information and maintenance result information for each trouble item. Check the effectiveness of the nonce, create a “Trouble-Maintenance” rule for those for which the effectiveness has been confirmed, and use the equipment quality information, maintenance information, and maintenance result information stored in the storage means for each equipment. For each quality item, check the effectiveness of maintenance, create "equipment quality-maintenance" rules for those for which the effectiveness has been confirmed, and store the product quality information, maintenance information, and maintenance results stored in the storage means Based on the information, the maintenance execution history at the time singular point where the product quality changed suddenly and the result of the maintenance at the time of performing these maintenance are extracted for each product quality item, and the product quality, maintenance and , "Product quality-maintenance" for which the correlation between maintenance results is confirmed The related analysis department that creates rules, the entered equipment trouble information, equipment quality information, product quality information, and the "trouble-maintenance" rule, "equipment quality-maintenance" rule, and "product quality-maintenance" And a countermeasure analysis unit that outputs a maintenance instruction to be executed based on the rule, and an instruction unit that displays a maintenance instruction output by the countermeasure analysis unit.
[0018]
【Example】
One embodiment of the mounting board production system of the present invention will be described with reference to FIGS.
[0019]
As shown in FIGS. 1 and 2, the solder printing unit 1, the component mounting unit 2, and the soldering unit 3 are sequentially arranged along the board transfer line 10 from the upstream side.
[0020]
In the solder printing unit 1, the solder printing unit 4 prints cream solder on the land of the printed material such as a substrate. The solder printing inspection means 5 inspects the state of the board and the solder printing unit 1 and the printing state.
[0021]
In the component mounting unit 2, the component mounting means 6 moves the suction nozzle by the XY drive device, and the suction nozzle transfers the electronic component from the component supply position to the mounting position on the substrate, and the cream printed on the land of the substrate Mount electronic components on the solder. The electronic component is mounted while managing a suction error of the suction nozzle by a component recognition camera. The component mounting inspection means 7 inspects the state of the component and the component mounting unit 2 and the component mounting state.
[0022]
In the soldering unit 3, the soldering means 8 melts the solder by hot air from the heater and the fan in the reflow furnace, on the board that is solder-printed, mounted with the electronic components, placed on the conveyor, and transferred. After cooling, harden and solder. The soldering inspection means 9 inspects the state of the soldering part 3 and the state of soldering.
[0023]
Up to the above, although not different from the conventional example, the present embodiment is different from the conventional example in the following configuration.
[0024]
Equipment trouble information 21 from each processing means and inspection means of the solder printing section 1, the component mounting section 2, and the soldering section 3 by the real-time processing by the network of the equipment trouble information collecting means 11 and the key-in means 13 operated by the operator. The equipment quality information 25 is collected and stored in the storage means 14 and input to the countermeasure analysis unit 16. The equipment trouble information 21 in this embodiment includes, for example, a mark recognition error of the solder printing means 4, a cleaning paper out of roll error, etc., a component suction nozzle clogging of the component mounting means 6, a top tape shortage, a nozzle switching error, etc. Further, there are a substrate dropping error of the soldering means 8, an ambient temperature lowering error, an O2 concentration rising error and the like. These pieces of information are stored in the equipment trouble information database 31 of the storage means 14 as shown in FIG. Further, the equipment quality information 25 in this embodiment includes, for example, a mark recognition deviation amount distribution of the solder printing means 4, a component suction failure rate of the component mounting means 6, a component recognition failure rate, etc., and a soldering means. 8 temperature profile, conveyor speed, O2 concentration and so on. These pieces of information are stored in the equipment quality information database 35 of the storage means 14 as shown in FIG.
[0025]
The storage means 14 stores the maintenance information 23 and the maintenance result information 24 indicating whether the maintenance result 23 is good, bad, or a secondary phenomenon has occurred. input. The maintenance information 23 and the maintenance result information 24 in this embodiment are, for example, cleaning of the suction nozzle of the component mounting means 6, filter replacement, adjustment of board conveyance width reduction of the soldering means 8, adjustment of board insertion interval, outside air temperature management, This is related to the N2 gas flow rate increase. These pieces of information are stored in the maintenance information database 33 of the storage unit 14 as shown in FIG.
[0026]
A network of product quality information collecting means 12 collects product quality information 22 from each of the inspection means of the solder printing unit 1, the component mounting unit 2, and the soldering unit 3 and stores them in the storage unit 14 and in the countermeasure analysis unit 16. input. The product quality information 22 in this embodiment includes, for example, print scraping from the solder printing inspection means 5, printing misalignment, presence / absence of printed solder, defect rate, etc. Such as a mounting position shift, a component mounting polarity error, a defect rate, etc., a component missing item from the soldering inspection means, a component standing, a component mounting position shift, a component mounting polarity error, a defect rate, and the like. These pieces of information are stored in the product quality information database 32 of the storage means 14 as shown in FIG. In this case, it can also be input by the key-in means 13 operated by the operator.
[0027]
The configuration and operation of this embodiment for processing the information collected as described above will be described with reference to FIGS.
[0028]
The related analysis unit 15 uses the facility trouble information 21, product quality information 22, maintenance information 23, maintenance result information 24, and facility quality information 25 stored in the storage unit 14 to store each information between the pieces of information. By combining the contents of each item and analyzing the frequency of occurrence, a rule 18 is created that predicts or estimates the result from the cause, the cause from the result, and the result from the maintenance or action between trouble, quality, and maintenance.
[0029]
For example, in this embodiment, the related analysis unit 15 confirms the effectiveness of the maintenance for each trouble item in the equipment trouble information database 31 based on the maintenance record and the maintenance result record in the maintenance information database 33, Those whose validity has been confirmed are stored as “trouble-maintenance” rules 18.
[0030]
In addition, for each item of the equipment quality information database 35, the related analysis unit 15 confirms the effectiveness of the maintenance based on the maintenance record and the maintenance result record of the maintenance information database 33, and the effectiveness is confirmed. Things are stored as “equipment quality-maintenance” rule 18.
[0031]
Similarly, the relation analysis unit 15 determines that the product quality information database 32 is defective for each item in the equipment trouble information database 31, each item in the maintenance information database 33, and each item in the equipment quality information database 35. The presence or absence of a singular point that has suddenly increased or decreased and the correlation are confirmed for each rate and each inspection item. For those for which the correlation is confirmed, “Product Quality-Trouble” Rule 18, “Product Quality” -"Maintenance" rule 18 and "product quality-equipment quality" rule 18 are stored.
[0032]
The relation analysis unit 15 registers the rules as described above in advance, and further registers and accumulates them in daily production activities to increase these rules.
[0033]
After various rules are registered by the related analysis unit 15, an operation in which the countermeasure analysis unit 16 of the present embodiment uses these rules will be described with reference to FIGS.
[0034]
As shown in FIG. 2, the countermeasure analysis unit 16 uses the equipment trouble information 21, product quality information 22, equipment quality information 25, maintenance information 23, and maintenance result information 24 based on the rule 18. The maintenance instruction or action instruction to be executed is output to the instruction means 17, and the instruction means 17 displays the maintenance instruction or action instruction.
[0035]
For example, in the present embodiment, when the measure analysis unit 16 receives the equipment trouble information 21 from the equipment trouble information collection means 11, the maintenance whose effectiveness is confirmed in real time based on the “trouble-maintenance” rule 18. A maintenance instruction to execute the operation is output to the instruction unit 17, and the instruction unit 17 displays the maintenance instruction.
[0036]
When the countermeasure analysis unit 16 receives the equipment quality information 25 that the equipment quality defect has occurred from the equipment trouble information collecting means 11, the effectiveness is confirmed in real time based on the "equipment quality-maintenance" rule 18. A maintenance instruction to perform the maintenance that is being performed is output to the instruction means 17, and the instruction means 17 displays this maintenance instruction.
[0037]
When the countermeasure analysis unit 16 receives the product quality information 22 that the product quality defect has occurred from the product quality information collecting means 12, the effectiveness is confirmed in real time based on the "product quality-maintenance" rule 18. A maintenance instruction to perform the maintenance that is being performed is output to the instruction means 17, and the instruction means 17 displays this maintenance instruction.
[0038]
FIG. 3 is an example of the contents of information registered in the database when equipment troubles and equipment quality defects occur and maintenance is performed. The occurrence time, return time, maintenance result, etc. are registered together.
[0039]
4 to 6 are flowcharts of an algorithm in which the relation analysis unit 15 determines each rule.
[0040]
FIG. 4 shows an algorithm for determining the “trouble-maintenance” rule 18.
[0041]
In step # 1 of FIG. 4, the relation analysis unit 15 extracts and totals the same troubles from the equipment trouble information database 31, extracts the most frequent troubles, and proceeds to step # 2.
[0042]
In step # 2, the relation analysis unit 15 recounts the extracted troubles for each maintenance content, and proceeds to step # 3.
[0043]
In step # 3, the relation analysis unit 15 calculates a ratio of good results for each maintenance item, and proceeds to step # 4.
[0044]
In step # 4, the relation analysis unit 15 compares the good ratio with a significant criterion, for example, 70%, and if it is greater than the significant criterion, determines that the maintenance is effective, and proceeds to step # 5. If it is less than the valid criterion, it is determined that the maintenance is invalid, and the process proceeds to step # 6.
[0045]
In step # 5, the relation analysis unit 15 registers the “trouble-maintenance” rule 18, and proceeds to step # 6.
[0046]
In step # 6, the relation analysis unit 15 counts the next identical trouble from the equipment trouble information database 31, and returns to step # 2.
[0047]
This will be specifically described with respect to the mounting board production system of the present embodiment. For example, when a trouble of “component suction nozzle switching error” occurs in the component mounting means 6, the equipment trouble information 21 of “component suction nozzle switching error” is related to the storage means 14 via the equipment quality information collecting means 11. It is transmitted to the analysis unit 15 and the maintenance “cleaning of the nozzle” is performed. This trouble occurs 10 times, the maintenance is performed 10 times, and a good result is obtained 9 times. The one time when a good result was not obtained is due to breakage of the nozzle switching part, and it is assumed that the “nozzle cleaning” did not give a good result. In this case, since the maintenance has been successful with a probability of 90%, the related analysis unit 15 sets the “nozzle cleaning” rule to the “trouble-maintenance” rule when the “component suction nozzle switching error” occurs. 18 is registered.
[0048]
FIG. 5 shows an algorithm when the relation analysis unit 15 determines the “equipment quality-maintenance” rule 18.
[0049]
In step # 1 of FIG. 5, the relation analysis unit 15 extracts and aggregates the same equipment quality defects from the equipment quality information database 35, and selects the most frequent equipment quality defects, for example, “adsorption failure rate reference over”. Extract and proceed to step # 2.
[0050]
In step # 2, the related analysis unit 15 extracts the “adsorption failure rate reference over” for each maintenance content, for example, “nozzle cleaning”, “filter replacement”, “cassette replacement”, “roll replacement”, etc. Are counted again, and the process proceeds to step # 3.
[0051]
In step # 3, the relation analysis unit 15 calculates a ratio of good results for each maintenance item of “adsorption failure rate reference over”, and proceeds to step # 4.
[0052]
In step # 4, the relation analysis unit 15 compares the good ratio with a significant criterion, for example, 70%, and if it is greater than the significant criterion, determines that the maintenance is effective, and proceeds to step # 5. If it is less than the valid criterion, it is determined that the maintenance is invalid, and the process proceeds to step # 6.
[0053]
In step # 5, the relation analysis unit 15 registers the “facility quality-maintenance” rule 18, and proceeds to step # 6.
[0054]
In step # 6, the relation analysis unit 15 counts the next same trouble from the equipment quality information database 35, and returns to step # 2.
[0055]
FIG. 6 shows an algorithm when the relation analysis unit 15 determines a “product quality-trouble” rule 18, a “product quality-maintenance” rule 18, and a “product quality-equipment quality” rule 18.
[0056]
In step # 1 of FIG. 6, the relation analysis unit 15 determines from the product quality information database 32 the same quality change point (singular point), for example, when the board soldering defective rate has increased by 5% at a certain time, Is extracted, and the process proceeds to step # 2.
[0057]
In step # 2, the related analysis unit 15 reports the same trouble at the same quality change point (singular point) extracted from the equipment trouble information database 31, for example, “component suction nozzle switching error”, “substrate transport error”, etc. Extract and proceed to step # 3.
[0058]
In step # 3, the relation analysis unit 15 determines from the maintenance information database 33 the maintenance execution history in the vicinity of the extracted singular point, for example, one hour before and after, for example, “adjustment of transport error countermeasures for component mounting means”. "Existing", "Replaced nozzle filter", "Re-adjusted cassette inspection accuracy", etc., and when these maintenances are performed, changes in the extracted singular points, for example, maintenance As a result, “Defects have decreased”, “Defects have increased”, “No change”, etc. are confirmed, and the process proceeds to Step # 4.
[0059]
In step # 4, the relation analysis unit 15 determines from the equipment quality information database 35 the content generated in the vicinity of the extracted singular point, for example, one hour before and after, for example, “the component adsorption failure rate exceeds a certain level. ”,“ Product recognition failure rate exceeds a certain level ”, etc., and proceeds to Step # 5.
[0060]
In step # 5, the relation analysis unit 15 calculates the occurrence rate of “same trouble”, “same maintenance”, and “same equipment failure” for each of the extracted same quality change points (singular points). Proceed to # 6.
[0061]
In step # 6, the relation analysis unit 15 compares the calculated occurrence rate with a significant criterion, for example, 70%, and if it is greater than the significant criterion, the “same trouble”, “same maintenance”, Judge that the “same equipment failure” is related to the quality change point (singularity) of the product quality and proceed to step # 7. ”And“ same equipment failure ”are judged not to be related to the quality change point (singularity) of the product quality, and the process proceeds to step # 8.
[0062]
In step # 7, the relation analysis unit 15 registers the "product quality-trouble" rule 18, the "product quality-maintenance" rule 18, and the "product quality-equipment quality" rule 18, and proceeds to step # 8.
[0063]
In step # 8, the relation analysis unit 15 extracts the next singular point from the product quality information database 32, and returns to step # 2.
[0064]
In FIG. 7, the countermeasure analysis unit 16 performs the “product quality-trouble” rule 18, “product quality-maintenance” rule 18, “product quality-equipment quality” rule 18, “trouble-maintenance” rule 18, “equipment quality— 7 is a flowchart showing an algorithm for determining “maintenance instruction” or “action instruction” from product quality information 22, equipment trouble information 21, and equipment quality information 25 based on a “maintenance” rule 18.
[0065]
The storage means 14 is periodically equipped with the equipment trouble information 21, the product quality information collecting means 12, the key quality means 12 operated by the operator, and the equipment trouble information 21, product quality information 22, maintenance information 23, and maintenance results. Information 24 and facility quality information 25 are received and stored.
[0066]
When there is a singularity in product quality, for example, when the product quality has suddenly increased or decreased, or has been gradually increasing or decreasing, or has repeatedly increased or decreased in a short period, or When a trouble, for example, a nozzle switching error occurs, or when an equipment quality failure, for example, a suction failure rate exceeds a reference value, the countermeasure analysis unit 16 determines which “product quality-maintenance” rule 18, “ Search for whether the "trouble-maintenance" rule 18, the "equipment quality-maintenance" rule 18 applies, and check maintenance items such as cassette readjustment, clean nozzles, replace filters, etc. The maintenance item is determined and transmitted to the display unit 17, and the display unit 17 displays the maintenance item.
[0067]
FIG. 8 is a diagram showing the contents of the maintenance instruction.
[0068]
【The invention's effect】
According to the present invention, maintenance instructions to be performed can be accurately displayed from the collected equipment trouble information , equipment quality information, product quality information , maintenance information, and maintenance result information. When countermeasures are required, it is possible to immediately implement countermeasures according to the instruction and to prevent the expansion of defects immediately.
[Brief description of the drawings]
FIG. 1 is a block diagram showing the configuration of an embodiment of a mounting board production system of the present invention.
FIG. 2 is a block diagram showing details of a main part of FIG.
FIG. 3 is a diagram showing the content of trouble-maintenance in FIG. 1;
FIG. 4 is a flowchart showing an algorithm for determining a “trouble-maintenance” rule in FIGS. 1 and 2;
FIG. 5 is a flowchart showing an algorithm for determining the “equipment quality-maintenance” rule in FIGS. 1 and 2;
6 is a flowchart showing an algorithm for determining a “product quality-trouble” rule, a “product quality-maintenance” rule, and a “product quality-equipment quality” rule in FIGS. 1 and 2. FIG.
7 is a flowchart showing a maintenance instruction algorithm in FIGS. 1 and 2. FIG.
8 is a diagram showing the contents of maintenance instructions in FIGS. 1 and 2. FIG.
FIG. 9 is a block diagram showing a configuration of a conventional mounting board production system.
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 1 Solder printing part 2 Component mounting part 3 Soldering part 4 Solder printing means 5 Solder printing inspection means 6 Component mounting means 7 Component mounting inspection means 8 Soldering means 9 Soldering inspection means 10 Board transfer 11 Equipment trouble information collection means 12 Products Quality information collection means 13 Key-in means 14 Storage means 15 Related analysis section 16 Countermeasure analysis section 17 Instruction means 18 Prediction / estimation rule 21 Equipment trouble information 22 Product quality information 23 Maintenance information 24 Maintenance result information 25 Equipment quality information 31 Equipment trouble information database 32 Product quality information database 33 Maintenance information database 35 Equipment quality information database

Claims (1)

A solder printing section having solder printing means for printing solder on the lands of the board, and a solder printing inspection means for inspecting the state of the solder printing and the quality of the product produced therein, and a predetermined position of the printed solder A component mounting unit having component mounting means for mounting a component, a component mounting inspection unit for inspecting the mounting state of the component and the quality of a product produced therein, and solder for melting and soldering the printed solder In a mounting board production system comprising a soldering part having a soldering means and a soldering inspection means for inspecting the state of soldering and the quality of a product produced therein,
Equipment trouble information collecting means for collecting equipment trouble information related to equipment trouble occurring in any of the solder printing section, the component mounting section, and the soldering section ;
Equipment quality information collecting means for collecting equipment quality information relating to equipment quality in any of the solder printing section, the component mounting section and the soldering section;
Product quality information collecting means for collecting product quality information relating to the quality of products produced by any one of the solder printing unit, the component mounting unit, and the soldering unit;
Maintenance information related to the maintenance performed in any of the solder printing unit, the component mounting unit, and the soldering unit, and maintenance result information related to the results of the maintenance performed in the solder printing unit, the component mounting unit, and the soldering unit. Storage means for storing the collected equipment trouble information, equipment quality information, product quality information, and
From the equipment trouble information stored in the storage means, maintenance information, and maintenance result information, the effectiveness of maintenance is confirmed for each trouble item, and the "trouble-maintenance" rule for those whose effectiveness has been confirmed The equipment quality information stored in the storage means, maintenance information, and maintenance result information are used to check the effectiveness of maintenance for each equipment quality item. Based on the product quality information stored in the storage means, maintenance information, and maintenance result information, the maintenance execution history at the time-specific singularity where the product quality has suddenly changed is created. The maintenance results when these maintenances are performed are extracted for each product quality item. A correlation analyzing section to create a rule, - and, a product quality, and maintenance, about what has been confirmed correlation between the results of maintenance "maintenance products quality"
It should be implemented based on the entered equipment trouble information, equipment quality information, product quality information, and the "trouble-maintenance" rule, "equipment quality-maintenance" rule, and "product quality-maintenance" rule created by the related analysis department A countermeasure analysis unit that outputs maintenance instructions;
Instruction means for displaying maintenance instructions output by the countermeasure analysis unit,
A mounting board production system comprising:

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