CN113189940A - Method for realizing PCB liquid medicine analysis and adjustment based on ERP system, electronic equipment and storage medium - Google Patents
Method for realizing PCB liquid medicine analysis and adjustment based on ERP system, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN113189940A CN113189940A CN202110279623.7A CN202110279623A CN113189940A CN 113189940 A CN113189940 A CN 113189940A CN 202110279623 A CN202110279623 A CN 202110279623A CN 113189940 A CN113189940 A CN 113189940A
- Authority
- CN
- China
- Prior art keywords
- liquid medicine
- analysis
- standard deviation
- pcb
- line
- 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.)
- Granted
Links
- 239000007788 liquid Substances 0.000 title claims abstract description 407
- 239000003814 drug Substances 0.000 title claims abstract description 388
- 238000004458 analytical method Methods 0.000 title claims abstract description 204
- 238000000034 method Methods 0.000 title claims abstract description 138
- 238000003860 storage Methods 0.000 title claims description 23
- 238000004364 calculation method Methods 0.000 claims abstract description 29
- 238000007599 discharging Methods 0.000 claims abstract description 8
- 239000006187 pill Substances 0.000 claims abstract description 7
- 238000004519 manufacturing process Methods 0.000 claims description 70
- 230000008569 process Effects 0.000 claims description 61
- 238000007726 management method Methods 0.000 claims description 33
- 238000004448 titration Methods 0.000 claims description 12
- 238000012360 testing method Methods 0.000 claims description 10
- 230000001105 regulatory effect Effects 0.000 claims description 7
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 238000010521 absorption reaction Methods 0.000 claims description 4
- 230000010354 integration Effects 0.000 claims description 4
- 230000001174 ascending effect Effects 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 3
- 230000003203 everyday effect Effects 0.000 claims description 3
- 239000000463 material Substances 0.000 claims description 3
- 230000035772 mutation Effects 0.000 claims description 3
- 238000004445 quantitative analysis Methods 0.000 claims description 3
- 230000009467 reduction Effects 0.000 claims description 3
- 230000000694 effects Effects 0.000 claims description 2
- 230000006872 improvement Effects 0.000 abstract description 5
- 238000003070 Statistical process control Methods 0.000 description 28
- 238000012216 screening Methods 0.000 description 12
- 239000000243 solution Substances 0.000 description 12
- 229910052802 copper Inorganic materials 0.000 description 9
- 239000010949 copper Substances 0.000 description 9
- 238000013479 data entry Methods 0.000 description 9
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 8
- 230000006870 function Effects 0.000 description 7
- 230000008021 deposition Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 6
- 239000000126 substance Substances 0.000 description 6
- 239000003929 acidic solution Substances 0.000 description 4
- 238000003556 assay Methods 0.000 description 4
- 238000004590 computer program Methods 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 230000002085 persistent effect Effects 0.000 description 4
- 239000012670 alkaline solution Substances 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000001556 precipitation Methods 0.000 description 3
- 239000000523 sample Substances 0.000 description 3
- 239000006228 supernatant Substances 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Chemical compound O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010205 computational analysis Methods 0.000 description 2
- 230000007797 corrosion Effects 0.000 description 2
- 238000005260 corrosion Methods 0.000 description 2
- 238000007865 diluting Methods 0.000 description 2
- 229940079593 drug Drugs 0.000 description 2
- 239000012530 fluid Substances 0.000 description 2
- 238000013102 re-test Methods 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 1
- 230000003197 catalytic effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 239000012470 diluted sample Substances 0.000 description 1
- 239000003085 diluting agent Substances 0.000 description 1
- 239000002355 dual-layer Substances 0.000 description 1
- 238000009713 electroplating Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 239000010410 layer Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003472 neutralizing effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 229910052763 palladium Inorganic materials 0.000 description 1
- KDLHZDBZIXYQEI-UHFFFAOYSA-N palladium Substances [Pd] KDLHZDBZIXYQEI-UHFFFAOYSA-N 0.000 description 1
- 238000005375 photometry Methods 0.000 description 1
- 238000007747 plating Methods 0.000 description 1
- 238000004886 process control Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 238000004457 water analysis Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
-
- 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
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Quality & Reliability (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Educational Administration (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Game Theory and Decision Science (AREA)
- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Automation & Control Theory (AREA)
- Medical Treatment And Welfare Office Work (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application relates to a method for realizing PCB liquid medicine analysis and adjustment based on an ERP system. The method comprises the following steps: acquiring liquid medicine analysis data; calculating according to the liquid medicine analysis data and a liquid medicine calculation formula to obtain a liquid medicine analysis result; comparing the pill analysis result to a pill threshold; according to the comparison result, the liquid medicine is adjusted, which comprises the following steps: and if the liquid medicine analysis result is smaller than or equal to the minimum value of the liquid medicine threshold value, adding the liquid medicine according to the addition amount of the liquid medicine, and if the liquid medicine analysis result is equal to or larger than the maximum value of the liquid medicine threshold value, discharging the liquid medicine according to the liquid medicine discharge amount. The scheme that this application provided, whole through the computer calculation analysis, reduced the influence of artificial mistake to the analysis, improved liquid medicine analysis's accuracy, and because of the accuracy improvement of analysis, the validity of the regulation of liquid medicine that goes on according to the analysis result has also improved.
Description
Technical Field
The application relates to the technical field of ERP systems, in particular to a method for analyzing and adjusting a PCB liquid medicine based on an ERP system, an electronic device and a storage medium.
Background
The ERP system is a short term for Enterprise Resource Planning (Enterprise Resource Planning), and refers to a management platform which integrates an information technology and an advanced management idea on the basis of establishing an information technology, and is a decision-making means for Enterprise employees and decision-making layer technicians by using a systematized management idea. ERP is not only a software but also a management idea, and realizes the integration of internal resources of an enterprise and external resources related to the enterprise. The method realizes resource optimization and sharing by closely integrating people, property, production, supply and sale, and corresponding logistics, information flow, fund flow, management flow, value added flow and the like of enterprises through software.
A plurality of kinds of liquid medicines can be used in a plurality of procedures in PCB production, and whether the produced circuit board can meet the process requirements or not is directly influenced by the concentration, the temperature, the PH value and the like of the liquid medicine, so that the analysis and the adjustment of the liquid medicine are an important link in the PCB production.
The conventional ERP system does not comprise a PCB liquid medicine analysis and adjustment module, the traditional liquid medicine analysis and adjustment on a PCB production line are manually analyzed and adjusted, errors are easily caused by manual analysis and adjustment, and the accuracy and the effectiveness of the liquid medicine analysis and adjustment are reduced.
In order to improve the accuracy and effectiveness of the liquid medicine analysis in the PCB production process and provide reliable basis for the liquid medicine control of the PCB production line, the following technical scheme is provided.
Disclosure of Invention
In order to overcome the problems in the related art, the method for analyzing and adjusting the PCB liquid medicine based on the ERP system is provided, and the ERP system can be used for analyzing and adjusting the PCB liquid medicine and improving the accuracy and effectiveness of the liquid medicine analysis in the PCB production process.
The application provides a method for realizing PCB liquid medicine analysis and adjustment based on an ERP system in a first aspect, which comprises the following steps:
acquiring liquid medicine analysis data which can reflect the use condition of liquid medicine used in the PCB production process;
calculating to obtain a liquid medicine analysis result through the liquid medicine analysis data and a liquid medicine calculation formula, wherein the liquid medicine calculation formula is determined according to different liquid medicine types and PCB production requirements, and the liquid medicine analysis result reflects the current amount of liquid medicine;
comparing the liquid medicine analysis result with a liquid medicine threshold value, wherein the liquid medicine threshold value is the liquid medicine dosage required by the PCB production process;
according to the comparison result, the liquid medicine is adjusted, which comprises the following steps: and if the liquid medicine analysis result is smaller than or equal to the minimum value of the liquid medicine threshold value, adding the liquid medicine according to the addition amount of the liquid medicine, and if the liquid medicine analysis result is equal to or larger than the maximum value of the liquid medicine threshold value, discharging the liquid medicine according to the liquid medicine discharge amount.
In a first possible implementation of the method of the first aspect, the fluid analysis data includes: the system comprises a liquid medicine titration data, a test time interval, a work order number, a production line number, a cylinder body number, an analysis project number, a cylinder volume, an analysis frequency, a control range, a liquid medicine adding formula and a liquid medicine liquid discharge quantity formula.
With reference to the first possible implementation method of the first aspect, in a second possible implementation method, the liquid medicine titration data is used to input the ERP system as a variable parameter in the liquid medicine calculation formula;
the work order number, the production line number, the cylinder body number and the analysis item number are used for determining a specific liquid medicine analysis item;
the cylinder volume is used for calculating the addition amount of the liquid medicine and the liquid discharge amount of the liquid medicine;
the analysis frequency is used for determining the frequency of inputting the liquid medicine analysis data every day;
the control range is used for judging whether the analysis result exceeds the range;
the liquid medicine adding formula is used for determining the adding amount of the liquid medicine;
the liquid medicine discharge amount formula is used for determining the liquid medicine discharge amount.
With reference to the first possible implementation method of the first aspect, in a third possible implementation method, the acquiring the liquid medicine analysis data further includes:
collecting the liquid medicine in use on the PCB production line at regular time;
carrying out quantitative analysis on the liquid medicine under specific conditions;
and obtaining the liquid medicine titration data, wherein the liquid medicine titration data are the liquid medicine characteristics of the liquid medicine under the specific condition, and the liquid medicine characteristics comprise absorption luminosity.
With reference to the first possible implementation method of the first aspect, in a fourth possible implementation method, the liquid medicine adjustment information is collated to generate a liquid medicine adjustment notice, where the liquid medicine adjustment notice includes: the production line, the cylinder number, the liquid medicine name, the liquid medicine adjusting measure, the liquid medicine analysis result, the liquid medicine adjusting reason and the adjusting effect obtained based on the liquid medicine adjusting measure.
With reference to the first possible implementation method of the first aspect, in a fifth possible implementation method, after the adjusting the liquid medicine according to the comparison result, the method further includes:
according to the liquid medicine analysis data and the liquid medicine analysis result, a liquid medicine analysis report is generated according to the comparison result, the liquid medicine analysis report can inquire data of specified time and specified analysis items, and the liquid medicine analysis result, the liquid medicine adding amount, the liquid medicine liquid discharge amount and whether the liquid medicine analysis result exceeds the control range or not can be displayed in a user-defined mode.
In a sixth possible implementation method of the first aspect, after the calculating the liquid medicine analysis result by the liquid medicine analysis data and the liquid medicine calculation formula, the method further includes:
inputting the liquid medicine analysis result into an SPC system;
generating an SPC regulatory table based on the medication fluid analysis results;
generating an SPC chart from the SPC regulatory chart, the SPC chart including a centerline and a standard deviation line, the standard deviation line including: a positive 1-fold standard deviation line, a positive 2-fold standard deviation line, a positive 3-fold standard deviation line, a negative 1-fold standard deviation line, and a negative 2-fold standard deviation line;
judging whether the SPC management chart is in an unregulated state;
if yes, the mail is automatically pushed to carry out early warning reminding.
With reference to the sixth possible implementation method of the first aspect, in a seventh possible implementation method, the SPC management table includes: standard deviation, process accuracy, process precision and process capability index;
the process accuracy represents the deviation degree of the center position of the process characteristic;
the precision of the process represents the quality of the production conditions;
the process capability index represents the process integration capability.
With reference to the sixth possible implementation method of the first aspect, in an eighth possible implementation method, the non-policing state includes: the method comprises the steps that a point appears on an administrative chart outside the boundary of the administrative chart, 2 points or 3 points appear in 3 continuous points on the same side of a central line in the administrative chart and exceed a standard deviation line of 2 times, 4 points or 5 points appear in 5 continuous points on the same side of the central line in the administrative chart and exceed a standard deviation line of 1 time, more than 7 continuous points appear on the same side of the central line in the administrative chart, 7 or more continuous points appear in the administrative chart and show an ascending trend or a descending trend, 8 or more points appear in the administrative chart and are distributed on two sides of the central line and exceed a standard deviation line of 1 time, 14 or more points appear in the administrative chart and alternate up and down, and 15 continuous points appear in the administrative chart and are distributed between the standard deviation line of 1 time and the standard deviation line of 1 time.
In combination with the eighth possible implementation manner of the first aspect, in a ninth possible implementation manner, a point appearing in the control chart is outside the control chart boundary, and the point can be used for detecting abnormal mutation of the process average value or the standard deviation;
2 points or 3 points exceeding 2 times of standard deviation line appear in 3 continuous points on the same side of the central line in the management chart, and the method can be used for detecting the change of the middle finger and the standard deviation;
more than 7 consecutive points in the map appear on the same side of the centerline, which can be used to detect subtle changes in process averages or standard values;
the presence of 7 or more consecutive points in the control map showing an upward trend or a downward trend can be used to detect large changes in process averages or standard deviations;
the control chart has 14 points or more which alternate up and down, and can be used for detecting system influence, wherein the system influence comprises a machine, an operator or a material supplier;
the map exhibits 15 consecutive points distributed between the positive 1-fold line of standard deviation and the negative 1-fold line of standard deviation, which can be used to detect a reduction in process variability.
A second aspect of the present application provides an electronic device, comprising:
a processor; and
a memory having executable code stored thereon, which when executed by the processor, causes the processor to perform the method as described above.
A third aspect of the application provides a non-transitory machine-readable storage medium having stored thereon executable code which, when executed by a processor of an electronic device, causes the processor to perform a method as described above.
The technical scheme provided by the application can comprise the following beneficial effects: according to the scheme, the liquid medicine analysis data is obtained; then, calculating according to the liquid medicine analysis data and a liquid medicine calculation formula to obtain a liquid medicine analysis result; comparing the pill analysis result to a pill threshold; according to the comparison result, the liquid medicine is adjusted, which comprises the following steps: and if the liquid medicine analysis result is smaller than or equal to the minimum value of the liquid medicine threshold value, adding the liquid medicine according to the addition amount of the liquid medicine, and if the liquid medicine analysis result is equal to or larger than the maximum value of the liquid medicine threshold value, discharging the liquid medicine according to the liquid medicine discharge amount. The method comprises the steps that data capable of reflecting the use condition of liquid medicine in the PCB production process are input into an ERP system, the ERP system obtains the liquid medicine use amount on the current PCB production line according to the input data and a liquid medicine calculation formula, whether the use amount is reasonable or not with a set liquid medicine threshold value, and if not, liquid medicine liquid discharge or liquid medicine addition is carried out to ensure that the use amount of the liquid medicine meets the PCB production process requirements. The whole process is subjected to computational analysis through a computer, so that the influence of human errors on analysis is reduced, the accuracy of liquid medicine analysis is improved, and the effectiveness of liquid medicine regulation according to an analysis result is also improved due to the improvement of the accuracy of the analysis.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The foregoing and other objects, features and advantages of the application will be apparent from the following more particular descriptions of exemplary embodiments of the application, as illustrated in the accompanying drawings wherein like reference numbers generally represent like parts throughout the exemplary embodiments of the application.
Fig. 1 is a schematic flow chart illustrating a method for analyzing and adjusting a liquid medicine of a PCB based on an ERP system according to an embodiment of the present application;
fig. 2 is another schematic flow chart of a method for analyzing and adjusting a liquid medicine of a PCB based on an ERP system according to an embodiment of the present application;
fig. 3 is another schematic flow chart of a method for analyzing and adjusting a liquid medicine of a PCB based on an ERP system according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device shown in an embodiment of the present application.
Detailed Description
Preferred embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While the preferred embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It should be understood that although the terms "first," "second," "third," etc. may be used herein to describe various information, these information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.
The conventional ERP system does not comprise a PCB liquid medicine analysis and adjustment module, the traditional liquid medicine analysis and adjustment on a PCB production line are manually analyzed and adjusted, errors are easily caused by manual analysis and adjustment, and the accuracy and the effectiveness of the liquid medicine analysis and adjustment are reduced.
In order to solve the above problems, embodiments of the present application provide a method for implementing analysis and adjustment of a liquid medicine for a PCB based on an ERP system, which can improve accuracy and effectiveness of liquid medicine analysis in a PCB production process.
The technical solutions of the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of a method for analyzing and adjusting a liquid medicine of a PCB based on an ERP system according to an embodiment of the present application.
Referring to fig. 1, an embodiment of a method for analyzing and adjusting a liquid medicine of a PCB based on an ERP system in the embodiment of the present application includes:
101. acquiring liquid medicine analysis data which can reflect the use condition of liquid medicine used in the PCB production process;
the chemical solution mentioned in this embodiment is a chemical solution required in the process of producing the PCB, such as an electroplating solution, a chemical plating solution, a corrosion solution, a deplating solution, a stripping solution, and the like.
The liquid medicine analysis data can reflect the type of liquid medicine, which process the liquid medicine is used in, which production line the liquid medicine is used in, the cylinder body where the liquid medicine is stored, the reasonable using amount and the use range of the liquid medicine and the like.
In the embodiment of the application, the collected liquid medicine analysis data is recorded into an ERP system for storage, and when analysis is needed, the liquid medicine analysis data is directly obtained from a database.
102. Calculating to obtain a liquid medicine analysis result through the liquid medicine analysis data and a liquid medicine calculation formula, wherein the liquid medicine calculation formula is determined according to different liquid medicine types and PCB production requirements, and the liquid medicine analysis result reflects the current amount of liquid medicine;
the analysis result of the liquid medicine reflects the amount of the liquid medicine and can be directly expressed by the concentration of the liquid medicine, and the concentration of the liquid medicine in the production process of the PCB can be changed due to chemical reaction with the PCB, so that the concentration of the liquid medicine is a variable value, and the concentration of the liquid medicine directly influences the production quality of the PCB, so that the concentration of the liquid medicine needs to be regulated and controlled to be always in a reasonable concentration range to ensure the production quality.
The liquid medicine calculation formula can calculate the concentration of the current liquid medicine according to a characteristic parameter of the liquid medicine, wherein the characteristic parameter of the liquid medicine is a characteristic parameter which is easier to obtain through testing or measurement, for example, the concentration of the alkaline solution is determined by using an acidic solution with a known concentration, the concentration of the alkaline solution can be obtained through the amount of the acidic solution used as long as the acidic solution used for neutralizing and quantifying the alkaline solution is determined, and the amount of the acidic solution is an easier-to-obtain characteristic parameter of the solution.
The liquid medicine analysis data obtained in step 101 includes characteristic parameters of the liquid medicine, and the obtained characteristics are input into a liquid medicine calculation formula, so that a liquid medicine analysis result can be calculated.
103. Comparing the liquid medicine analysis result with a liquid medicine threshold value, wherein the liquid medicine threshold value is the liquid medicine dosage required by the PCB production process;
the liquid medicine threshold value is that the liquid medicine accords with the concentration range of the liquid medicine in the PCB production process, and the produced PCB can only reach the production liquid medicine if the liquid medicine in the concentration range participates in the production.
The concentration of the chemical solution calculated in step 102 is the concentration of the chemical solution currently in use in the production line and needs to be compared to a threshold chemical solution value to determine whether it is within a reasonable concentration range.
104. According to the comparison result, the liquid medicine is adjusted, which comprises the following steps: if the liquid medicine analysis result is smaller than or equal to the minimum value of the liquid medicine threshold value, adding liquid medicine according to the liquid medicine adding amount, and if the liquid medicine analysis result is equal to or larger than the maximum value of the liquid medicine threshold value, discharging liquid medicine according to the liquid medicine discharging amount;
the addition amount of the liquid medicine and the liquid medicine discharge amount of the liquid medicine are calculated according to the difference value between the analysis result of the liquid medicine and the liquid medicine, and the liquid medicine can enable the liquid medicine which does not meet the concentration requirement to return to a reasonable concentration range, so that the production requirement is met.
The technical scheme provided by the application can comprise the following beneficial effects: according to the scheme, the liquid medicine analysis data is obtained; then, calculating according to the liquid medicine analysis data and a liquid medicine calculation formula to obtain a liquid medicine analysis result; comparing the pill analysis result to a pill threshold; according to the comparison result, the liquid medicine is adjusted, which comprises the following steps: and if the liquid medicine analysis result is smaller than or equal to the minimum value of the liquid medicine threshold value, adding the liquid medicine according to the addition amount of the liquid medicine, and if the liquid medicine analysis result is equal to or larger than the maximum value of the liquid medicine threshold value, discharging the liquid medicine according to the liquid medicine discharge amount. The method comprises the steps that data capable of reflecting the use condition of liquid medicine in the PCB production process are input into an ERP system, the ERP system obtains the liquid medicine use amount on the current PCB production line according to the input data and a liquid medicine calculation formula, whether the use amount is reasonable or not with a set liquid medicine threshold value, and if not, liquid medicine liquid discharge or liquid medicine addition is carried out to ensure that the use amount of the liquid medicine meets the PCB production process requirements. The whole process is subjected to computational analysis through a computer, so that the influence of human errors on analysis is reduced, the accuracy of liquid medicine analysis is improved, and the effectiveness of liquid medicine regulation according to an analysis result is also improved due to the improvement of the accuracy of the analysis.
For convenience of understanding, an application embodiment for implementing the analysis and adjustment of the PCB liquid medicine based on the ERP system is provided below for description, and referring to fig. 2, an embodiment for implementing the analysis and adjustment of the PCB liquid medicine based on the ERP system in the embodiment of the present application includes:
in the application and implementation, how the ERP system analyzes and adjusts the liquid medicine based on the liquid medicine analysis data is introduced, and in the embodiment of the application, more detailed characteristics of the liquid medicine analysis and adjustment module in the ERP system are shown.
201. Acquiring liquid medicine analysis data which can reflect the use condition of liquid medicine used in the PCB production process;
the liquid medicine analysis data comprises: the system comprises a liquid medicine titration data, a test time interval, a work order number, a production line number, a cylinder body number, an analysis project number, a cylinder volume, an analysis frequency, a control range, a liquid medicine adding formula and a liquid medicine liquid discharge quantity formula. The liquid medicine titration data is used for inputting the ERP system as a variable parameter in a liquid medicine calculation formula; the work order number, the production line number, the cylinder body number and the analysis item number are used for determining a specific liquid medicine analysis item; the volume of the cylinder is used for calculating the adding amount of the liquid medicine and the liquid discharge amount of the liquid medicine; the analysis frequency is used for determining the frequency of inputting the liquid medicine analysis data every day; the control range is used for judging whether the analysis result exceeds the range; the liquid medicine adding formula is used for determining the adding amount of liquid medicine; the liquid medicine liquid discharge amount formula is used for determining the liquid medicine liquid discharge amount.
The variable parameters in the liquid medicine calculation formula correspond to characteristic parameters of liquid medicine, and the liquid medicine in use on a PCB production line is collected at regular time; carrying out quantitative analysis on the liquid medicine under specific conditions; and obtaining the liquid medicine titration data, wherein the liquid medicine titration data are liquid medicine characteristics of the liquid medicine under the specific condition, and can be expressed by characteristic parameters of the liquid medicine such as specific absorption luminosity of the liquid medicine.
The following are exemplary: through in the process [ copper precipitation ], the production line [ copper precipitation ], the cylinder body [ pitting corrosion jar ]: 1. taking 10ml of K2MnO4 supernatant by using a 10ml pipette, putting the supernatant into a 100ml quantitative bottle, diluting the supernatant to a scale with DI water, and shaking up; 2. taking 1ml of diluted sample by using a 1ml pipette, putting the sample into a 100ml quantitative bottle, diluting the sample by using DI water, and shaking up; 3. measuring and recording the absorption photometry of the diluent in the step 2 at the wavelengths of 526nm and 603nm as X and Y respectively, and taking pure water as a reference; 4. and (3) recording the parameters X and Y into an ERP system, wherein the corresponding analysis item is [ K2MnO4], the corresponding liquid medicine calculation formula is 136.6X-12.27Y, and the liquid medicine analysis result is automatically calculated.
A liquid medicine analysis basic data entry interface is set through programming, and an entry label of the entry interface comprises: the method comprises the following steps of working procedures, production lines, cylinder bodies, analysis items, cylinder volumes, units, analysis frequency, times per day, control range minimum, control range maximum, process range minimum, process range maximum, analysis method, calculation formula, addition standard, addition formula, liquid discharge formula, standard value, addition judgment (low value) and liquid discharge judgment (high value).
A liquid medicine analysis updating data entry interface is set through programming, the entry interface comprises three parts, the first part is a functional area, and a functional label comprises: add, modify, delete, save, cancel, approve, print, export, and query. The second part is a selected analysis item area, and the selected analysis item area comprises the following steps: a screening condition input area and a screening result display area, wherein the condition input label of the screening condition input area comprises: the method comprises the following steps of working procedures, production lines, cylinder bodies, analysis items and assay dates; the display label of the screening result display area comprises: assay time, analysis frequency, procedure, production line, cylinder, analysis item, calculation formula, cylinder volume (L), control range, process range, analysis method, addition formula and addition standard. The third part is a data entry area, and the entry label of the data entry area comprises: the method comprises the following steps of testing order, testing time period, parameter X, parameter Y, parameter Z, parameter W, analysis result, liquid medicine adding amount, liquid discharge amount, process range exceeding or not, control range exceeding or not, remark, retest record and recording time.
The first time of data entry is according to the suggestion that the liquid medicine analysis basic data entry interface enters the label, enters corresponding data into corresponding text input box, and the ERP system stores this part of data, and the operation step of the later data entry is: selecting or inputting corresponding process, production line number, cylinder body number, analysis item number and test date in a screening condition input area in a liquid medicine analysis updating data entry interface, clicking a query function, then screening by an ERP system according to conditions in a database formed by data entered for the first time and before, selecting a target in a query result displayed in a screening result display area, and finally entering a test period and a corresponding parameter value in a data entry area. The ERP system clicks a newly-added function according to the input test time interval and parameter values, automatically calls a calculation formula corresponding to the selected target in the selected analysis project area to calculate to obtain a liquid medicine analysis result and display the liquid medicine analysis result, then judges whether the result exceeds a process range or a control range, if not, displays N, if so, displays Y, and displays corresponding adjustment measures: the corresponding liquid medicine adding amount or liquid discharge amount.
In the embodiment of the application, the ERP system acquires corresponding liquid medicine analysis data according to the selected target and then acquires the input testing time period and parameter values.
202. Calculating according to the liquid medicine analysis data and a liquid medicine calculation formula to obtain a liquid medicine analysis result;
in the embodiment of the application, the ERP system automatically calls a calculation formula corresponding to a selected target in a selected analysis project area according to the input assay time interval and the parameter values, then substitutes the parameter values into variable parameters in the calculation formula, and automatically calculates to obtain a liquid medicine analysis result.
203. Comparing the liquid medicine analysis result with a liquid medicine threshold value, and adjusting the liquid medicine according to the comparison result;
in the embodiment of the application, the obtained liquid medicine analysis result is compared with the control range and the process range respectively, whether the result exceeds the control range or the process range or not is judged, if the result exceeds the control range or the process range, adjustment is not carried out, if the result is smaller than the control range or the process range, liquid medicine is added according to the liquid medicine adding amount, and if the result is larger than the control range or the process range, liquid is discharged according to the liquid medicine discharging amount, so that the liquid medicine is ensured to be in a reasonable range.
204. The liquid medicine adjustment information is arranged to generate a liquid medicine adjustment notice sheet;
the notification information label of the liquid medicine adjustment notice sheet includes: production line, jar number, liquid medicine adjustment measure: liquid medicine name and adjustment measure, analysis result, remark, retest sample presentation time, production division: operator/time and confirmation person/time, procedure, notice creation date and time. If the liquid medicine is adjusted, the ERP system calls the adjusted information and the information for informing the filling of the liquid medicine adjustment notice form from the database to generate the liquid medicine adjustment notice form.
The following are exemplary: production line-copper precipitation line, cylinder number-14 # catalytic cylinder, liquid medicine name-palladium concentration, adjustment measure-liquid medicine addition: 1.129, analysis results-54.7, remark-below 56 adding medicine to adjust to 60, and above 70 informing procedure adjustment; CAT44(L) (60-assay result) cylinder volume/4700.
And if the data input times on the day are less than the set times, generating the missing record notice, and automatically pushing a mail by the system to send the missing record information to related personnel.
205. Generating a liquid medicine analysis report according to the liquid medicine analysis data and the liquid medicine analysis result and the comparison result;
the liquid medicine analysis report form consists of three parts, wherein the first part is a functional area which is provided with function selection keys for adding, modifying, deleting, storing, canceling, previewing, SPC, exporting and inquiring; the second part is a screening condition setting area and a display content checking area, and the screening condition setting area comprises: start date of analysis date, end date of analysis date, SPC, process, production line, cylinder, analysis item. The display content check area comprises: displaying the analysis result, displaying the addition amount of the liquid medicine, displaying the liquid discharge amount, displaying whether the process range is exceeded or not and displaying whether the control range is exceeded or not; the third part is screening result display area, and screening result display area sets up and shows the label and has: the method comprises the following steps of working procedure, production line, cylinder body, analysis item, control range, process range, analysis frequency and user-defined display options of analysis result, liquid medicine adding amount, liquid discharge amount, process range exceeding or not and control range exceeding or not.
The following are exemplary: the initial date of the analysis date is set to be 2019-07-03, the end date of the analysis date is set to be 2019-07-03, the working procedure is selected to be copper deposition, the production line is selected to be a copper deposition B line, and the cylinder body is selected to be a 6-9# copper deposition cylinder. Selecting and displaying the analysis result, wherein one piece of information displayed in the screening result display area comprises: the method comprises the following steps of copper deposition, production line copper deposition B line, cylinder body copper deposition cylinder 6-9#, analysis item Cu2+, control range of-1.8-2.2 g/L, process range of-1.7-2.3 g/L, analysis frequency of-3 times/shift, analysis result of 2019-07-03_1_ 2.064, analysis result of 2019-07-03_2 of-1.969 and analysis result of 2019-07-03_3 of-1.937.
This application embodiment is through obtaining liquid medicine analysis data, and it obtains liquid medicine analysis result to calculate with liquid medicine water analysis data and liquid medicine computational formula, then compares liquid medicine analysis result and liquid medicine threshold value carry out the liquid medicine adjustment according to the comparison result, arrange liquid medicine adjustment information into the arrangement and generate liquid medicine adjustment notice, according to liquid medicine analysis data the liquid medicine analysis result, the comparison result generates liquid medicine analysis report. By carrying out overall management and systematization on the related data of the liquid medicine, the system can quickly count the missed analysis items; data can be saved in a more secure database; when the liquid medicine analysis item is abnormal, all related personnel can be quickly informed.
Referring to fig. 3, an embodiment of the present application for implementing PCB liquid medicine analysis and adjustment based on an ERP system includes:
the analysis and the adjustment systematization of the PCB liquid medicine are combined with SPC for use, the abnormity appearing due to the liquid medicine in the PCB production process is better found, the abnormity is analyzed again to find out the abnormity reason, and the improvement measures are taken in time, so that the production is recovered to be normal.
301. Acquiring liquid medicine analysis data which can reflect the use condition of liquid medicine used in the PCB production process;
in this embodiment of the application, the specific content of step 301 is similar to that of step 201 in embodiment 2, and is not described herein again.
302. Calculating according to the liquid medicine analysis data and a liquid medicine calculation formula to obtain a liquid medicine analysis result;
in this embodiment of the application, the specific content of step 302 is similar to that of step 202 in embodiment 2, and is not described herein again.
303. Inputting the liquid medicine analysis result into an SPC system, generating an SPC control chart based on the liquid medicine analysis result, and generating an SPC control chart according to the SPC control chart;
SPC Statistical Process Control (Statistical Process Control) is a Process Control tool that relies on mathematical Statistical methods. The method analyzes and evaluates the production process, timely discovers the sign of the systematic factors according to the feedback information, and takes measures to eliminate the influence, so that the process is maintained in a controlled state only influenced by the random factors, and the purpose of controlling the quality is achieved.
The SPC regulatory sheet includes: standard deviation, process accuracy, process precision, process capability index, process, production line, cylinder, analytical item, spec, USL, CL, LSL, USL, CL and LCL;
the process accuracy represents the deviation degree of the center position of the process characteristic; the precision of the manufacturing process represents the quality of the production conditions; the process capability index represents the process integration capability. The process accuracy Ca is 2 (actual center value-specification center value) specification tolerance, the process precision Cp is specification tolerance/6 σ, and the process capability index Cpk is Cp (1- | Ca |).
The SPC chart includes a centerline and a standard deviation line, the standard deviation line including: plus 1 standard deviation line, plus 2 standard deviation line, plus 3 standard deviation line, minus 1 standard deviation line and minus 2 standard deviation line.
304. Judging whether the SPC management chart is in an unregulated state or not, if so, automatically pushing a mail to perform early warning reminding;
the unregulated state includes: the method comprises the steps that one point appears on the management chart outside the limit of the management chart, 2 points or 3 points appear in 3 continuous points on the same side of a central line in the management chart and exceed a standard deviation line of 2 times, 4 points or 5 points appear in 5 continuous points on the same side of the central line in the management chart and exceed a standard deviation line of 1 time, more than 7 continuous points appear on the same side of the central line in the management chart, 7 or more continuous points appear in the management chart and show an ascending trend or a descending trend, 8 or more points appear in the management chart and are distributed on two sides of the central line and exceed a standard deviation line of 1 time, 14 or more points appear in the management chart and alternate up and down, and 15 continuous points appear in the management chart and are distributed between a standard deviation line of positive 1 time and a standard deviation line of negative 1 time.
One point in the control chart is outside the control chart limit and can be used for detecting abnormal mutation of the process average value or the standard deviation; 2 points or 3 points in 3 continuous points on the same side of the central line in the control chart exceed 2 times of standard deviation lines and can be used for detecting the change of the middle finger and the standard deviation; more than 7 continuous points appear on the same side of the centerline in the control map, which can be used to detect subtle changes in process averages or standard values; the presence of 7 or more consecutive points in the control map showing an upward trend or a downward trend can be used to detect large changes in process averages or standard deviations; the control chart has 14 points or more which alternate up and down, and can be used for detecting system influence, wherein the system influence comprises a machine, an operator or a material supplier; the 15 consecutive points appearing on the map are distributed between the plus 1 standard deviation line and the minus 1 standard deviation line, which can be used to detect a reduction in process variability.
According to the method and the device, by acquiring the liquid medicine analysis data, the liquid medicine analysis data can reflect the use condition of liquid medicine used in the PCB production process; calculating according to the liquid medicine analysis data and a liquid medicine calculation formula to obtain a liquid medicine analysis result; inputting the liquid medicine analysis result into an SPC system, generating an SPC control chart based on the liquid medicine analysis result, and generating an SPC control chart according to the SPC control chart; and judging whether the SPC management chart is in a non-control state, if so, automatically pushing the mail to perform early warning reminding. The liquid medicine analysis result is input into the SPC system to generate a corresponding SPC management chart, the symptoms of faults caused by the liquid medicine in the PCB production process are found in time through the state of the SPC management chart, measures can be taken in time to eliminate the influence caused by the faults, and the production positive operation is ensured.
Corresponding to the embodiment of the application function implementation method, the application also provides electronic equipment and a corresponding embodiment.
Fig. 4 is a schematic structural diagram of an electronic device shown in an embodiment of the present application.
Referring to fig. 4, an electronic device 401 includes a memory 402 and a processor 403.
The Processor 403 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 402 may include various types of storage units, such as system memory, Read Only Memory (ROM), and permanent storage. Wherein the ROM may store static data or instructions for the processor 403 or other modules of the computer. The persistent storage device may be a read-write storage device. The persistent storage may be a non-volatile storage device that does not lose stored instructions and data even after the computer is powered off. In some embodiments, the persistent storage device employs a mass storage device (e.g., magnetic or optical disk, flash memory) as the persistent storage device. In other embodiments, the permanent storage may be a removable storage device (e.g., floppy disk, optical drive). The system memory may be a read-write memory device or a volatile read-write memory device, such as a dynamic random access memory. The system memory may store instructions and data that some or all of the processors require at runtime. Further, the memory 402 may include any combination of computer-readable storage media, including various types of semiconductor memory chips (DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), magnetic and/or optical disks, may also be employed. In some embodiments, memory 402 may include a removable storage device that is readable and/or writable, such as a Compact Disc (CD), a read-only digital versatile disc (e.g., DVD-ROM, dual layer DVD-ROM), a read-only Blu-ray disc, an ultra-density optical disc, a flash memory card (e.g., SD card, min SD card, Micro-SD card, etc.), a magnetic floppy disk, or the like. Computer-readable storage media do not contain carrier waves or transitory electronic signals transmitted by wireless or wired means.
The memory 402 has stored thereon executable code that, when processed by the processor 403, may cause the processor 403 to perform some or all of the methods described above.
The aspects of the present application have been described in detail hereinabove with reference to the accompanying drawings. In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments. Those skilled in the art should also appreciate that the acts and modules referred to in the specification are not necessarily required in the present application. In addition, it can be understood that the steps in the method of the embodiment of the present application may be sequentially adjusted, combined, and deleted according to actual needs, and the modules in the device of the embodiment of the present application may be combined, divided, and deleted according to actual needs.
Furthermore, the method according to the present application may also be implemented as a computer program or computer program product comprising computer program code instructions for performing some or all of the steps of the above-described method of the present application.
Alternatively, the present application may also be embodied as a non-transitory machine-readable storage medium (or computer-readable storage medium, or machine-readable storage medium) having stored thereon executable code (or a computer program, or computer instruction code) which, when executed by a processor of an electronic device (or electronic device, server, etc.), causes the processor to perform part or all of the various steps of the above-described method according to the present application.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the applications disclosed herein may be implemented as electronic hardware, computer software, or combinations of both.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems and methods according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Having described embodiments of the present application, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (12)
1. A method for realizing PCB liquid medicine analysis and adjustment based on an ERP system is characterized by comprising the following steps:
acquiring liquid medicine analysis data which can reflect the use condition of liquid medicine used in the PCB production process;
calculating to obtain a liquid medicine analysis result through the liquid medicine analysis data and a liquid medicine calculation formula, wherein the liquid medicine calculation formula is determined according to different liquid medicine types and PCB production requirements, and the liquid medicine analysis result reflects the current amount of liquid medicine;
comparing the liquid medicine analysis result with a liquid medicine threshold value, wherein the liquid medicine threshold value is the liquid medicine dosage required by the PCB production process;
according to the comparison result, the liquid medicine is adjusted, which comprises the following steps: and if the liquid medicine analysis result is smaller than or equal to the minimum value of the liquid medicine threshold value, adding the liquid medicine according to the addition amount of the liquid medicine, and if the liquid medicine analysis result is equal to or larger than the maximum value of the liquid medicine threshold value, discharging the liquid medicine according to the liquid medicine discharge amount.
2. The method for analyzing and adjusting the PCB liquid medicine based on the ERP system as claimed in claim 1,
the liquid medicine analysis data includes: the system comprises a liquid medicine titration data, a test time interval, a work order number, a production line number, a cylinder body number, an analysis project number, a cylinder volume, an analysis frequency, a control range, a liquid medicine adding formula and a liquid medicine liquid discharge quantity formula.
3. The method for analyzing and adjusting the PCB liquid medicine based on the ERP system as claimed in claim 2, wherein the ERP system is further configured to,
the liquid medicine titration data are used for being input into an ERP system to serve as variable parameters in the liquid medicine calculation formula;
the work order number, the production line number, the cylinder body number and the analysis item number are used for determining a specific liquid medicine analysis item;
the cylinder volume is used for calculating the addition amount of the liquid medicine and the liquid discharge amount of the liquid medicine;
the analysis frequency is used for determining the frequency of inputting the liquid medicine analysis data every day;
the control range is used for judging whether the analysis result exceeds the range;
the liquid medicine adding formula is used for determining the adding amount of the liquid medicine;
the liquid medicine liquid discharge amount formula is used for determining the liquid medicine liquid discharge amount.
4. The method for analyzing and adjusting the PCB liquid medicine based on the ERP system as claimed in claim 2, wherein before the obtaining of the liquid medicine analysis data, the method further comprises:
collecting the liquid medicine in use on the PCB production line at regular time;
carrying out quantitative analysis on the liquid medicine under specific conditions;
and obtaining the liquid medicine titration data, wherein the liquid medicine titration data are the liquid medicine characteristics of the liquid medicine under the specific condition, and the liquid medicine characteristics comprise absorption luminosity.
5. The method for analyzing and adjusting the PCB liquid medicine based on the ERP system as claimed in claim 2, wherein the method further comprises the following steps after the liquid medicine is adjusted according to the comparison result:
the liquid medicine adjustment information is arranged to generate a liquid medicine adjustment notice, and the liquid medicine adjustment notice comprises: the production line, the cylinder body number, the liquid medicine name, the liquid medicine adjusting measure, the liquid medicine analysis result, the liquid medicine adjusting reason and the adjusting effect obtained based on the liquid medicine adjusting measure.
6. The method for analyzing and adjusting the PCB liquid medicine based on the ERP system as claimed in claim 2, wherein the method further comprises the following steps after the liquid medicine is adjusted according to the comparison result:
and generating a liquid medicine analysis report according to the liquid medicine analysis data and the liquid medicine analysis result and the comparison result, wherein the liquid medicine analysis report can inquire data of specified time and specified analysis items, and can also display the liquid medicine analysis result, the liquid medicine adding amount, the liquid medicine liquid discharge amount and whether the liquid medicine analysis result exceeds the control range in a self-defined manner.
7. The method for analyzing and adjusting the PCB liquid medicine based on the ERP system as claimed in claim 1, wherein after the liquid medicine analysis result is calculated by the liquid medicine analysis data and the liquid medicine calculation formula, the method further comprises:
inputting the liquid medicine analysis result into an SPC system;
generating an SPC regulatory table based on the pill analysis results;
generating an SPC chart from the SPC regulatory chart, the SPC chart comprising a centerline and a standard deviation line, the standard deviation line comprising: a positive 1-fold standard deviation line, a positive 2-fold standard deviation line, a positive 3-fold standard deviation line, a negative 1-fold standard deviation line, and a negative 2-fold standard deviation line;
judging whether the SPC management chart is in an unregulated state;
if yes, the mail is automatically pushed to carry out early warning reminding.
8. The method for PCB liquid medicine analysis and adjustment based on ERP system as claimed in claim 7, wherein said SPC schedule comprises: standard deviation, process accuracy, process precision and process capability index;
the process accuracy represents a deviation degree of a center position of a process characteristic;
the precision of the manufacturing process represents the quality of the production conditions;
the process capability index represents the process integration capability.
9. The method for analyzing and adjusting the PCB liquid medicine based on the ERP system as claimed in claim 7, wherein the non-regulated state comprises: the method comprises the following steps that one point appears outside the limit of the management drawing in the management drawing, 2 points or 3 points appear in 3 continuous points on the same side of a central line in the management drawing and exceed a standard deviation line of 2 times, 4 points or 5 points appear in 5 continuous points on the same side of the central line in the management drawing and exceed a standard deviation line of 1 time, more than 7 continuous points appear on the same side of the central line in the management drawing, 7 or more continuous points appear in the management drawing and show an ascending trend or a descending trend, 8 or more points appear in the management drawing and are distributed on two sides of the central line and exceed a standard deviation line of 1 time, 14 or more points appear in the management drawing and are alternately distributed between the standard deviation line of positive 1 time and the standard deviation line of negative 1 time, and 15 continuous points appear in the management drawing and are distributed between the standard deviation line of positive 1 time and the standard deviation line of negative 1 time.
10. The method for analyzing and adjusting a PCB liquid medicine based on the ERP system as claimed in claim 9, wherein a point appearing in the control chart is outside the control chart limit and can be used for detecting abnormal mutation of the process average or standard deviation;
2 points or 3 points exceeding 2 times of standard deviation lines appear in 3 continuous points on the same side of the central line in the management chart, and the method can be used for detecting the change of the middle finger and the standard deviation;
more than 7 consecutive points in the control map appear on the same side of the centerline, which can be used to detect subtle changes in process averages or standard values;
the presence of 7 or more consecutive points in the control map showing an upward trend or a downward trend can be used to detect large changes in process averages or standard deviations;
the control chart has 14 points or more which alternate up and down, and can be used for detecting system influence, wherein the system influence comprises a machine, an operator or a material supplier;
the map shows 15 consecutive points distributed between the positive 1-fold line of standard deviation and the negative 1-fold line of standard deviation, which can be used to detect a reduction in process variability.
11. An electronic device, comprising:
a processor; and
a memory having executable code stored thereon, which when executed by the processor, causes the processor to perform the method of any one of claims 1-10.
12. A non-transitory machine-readable storage medium having stored thereon executable code, which when executed by a processor of an electronic device, causes the processor to perform the method of any one of claims 1-10.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110279623.7A CN113189940B (en) | 2021-03-16 | 2021-03-16 | Method for realizing analysis and adjustment of PCB (printed Circuit Board) liquid medicine based on ERP (Enterprise resource planning) system, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110279623.7A CN113189940B (en) | 2021-03-16 | 2021-03-16 | Method for realizing analysis and adjustment of PCB (printed Circuit Board) liquid medicine based on ERP (Enterprise resource planning) system, electronic equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113189940A true CN113189940A (en) | 2021-07-30 |
| CN113189940B CN113189940B (en) | 2023-06-02 |
Family
ID=76973396
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110279623.7A Active CN113189940B (en) | 2021-03-16 | 2021-03-16 | Method for realizing analysis and adjustment of PCB (printed Circuit Board) liquid medicine based on ERP (Enterprise resource planning) system, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113189940B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117172624A (en) * | 2023-11-03 | 2023-12-05 | 长春易加科技有限公司 | Intelligent monitoring management system of wire harness production line |
| CN117708552A (en) * | 2024-02-06 | 2024-03-15 | 华能江苏综合能源服务有限公司 | Power station operation data real-time monitoring method based on edge calculation |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW201132807A (en) * | 2010-01-07 | 2011-10-01 | BZ Plating Process Solution | Intelligent control system for electrochemical plating process |
| TW201248523A (en) * | 2011-05-31 | 2012-12-01 | Chi Mei Foundation Hospital | Financial report method using control chart and system thereof |
| CN202945324U (en) * | 2012-12-05 | 2013-05-22 | 深圳市兴达线路板有限公司 | PCB (Printed Circuit Board) copper immersion line medicinal liquid addition detecting and temperature-control system |
| CN104615163A (en) * | 2014-12-22 | 2015-05-13 | 东莞美维电路有限公司 | Automatic PCB agent adding method |
| CN106056354A (en) * | 2016-05-25 | 2016-10-26 | 东莞美维电路有限公司 | PCB medicine-adding fool-proof method |
| CN107643742A (en) * | 2017-09-26 | 2018-01-30 | 厦门集信实科技有限公司 | The system of printed circuit holding retrospect |
| CN109726378A (en) * | 2018-12-25 | 2019-05-07 | 东莞美维电路有限公司 | A kind of PCB chemical medicinal liquid analysis action data automation |
| CN110129869A (en) * | 2019-05-24 | 2019-08-16 | 江西景旺精密电路有限公司 | A kind of method and system automatically analyzing addition gold salt based on real-time online |
| CN110433728A (en) * | 2019-08-14 | 2019-11-12 | 江西景旺精密电路有限公司 | A kind of liquid medicine feedway |
| CN111254421A (en) * | 2020-01-18 | 2020-06-09 | 信泰电子（西安）有限公司 | Online concentration analysis medicine system |
-
2021
- 2021-03-16 CN CN202110279623.7A patent/CN113189940B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW201132807A (en) * | 2010-01-07 | 2011-10-01 | BZ Plating Process Solution | Intelligent control system for electrochemical plating process |
| TW201248523A (en) * | 2011-05-31 | 2012-12-01 | Chi Mei Foundation Hospital | Financial report method using control chart and system thereof |
| CN202945324U (en) * | 2012-12-05 | 2013-05-22 | 深圳市兴达线路板有限公司 | PCB (Printed Circuit Board) copper immersion line medicinal liquid addition detecting and temperature-control system |
| CN104615163A (en) * | 2014-12-22 | 2015-05-13 | 东莞美维电路有限公司 | Automatic PCB agent adding method |
| CN106056354A (en) * | 2016-05-25 | 2016-10-26 | 东莞美维电路有限公司 | PCB medicine-adding fool-proof method |
| CN107643742A (en) * | 2017-09-26 | 2018-01-30 | 厦门集信实科技有限公司 | The system of printed circuit holding retrospect |
| CN109726378A (en) * | 2018-12-25 | 2019-05-07 | 东莞美维电路有限公司 | A kind of PCB chemical medicinal liquid analysis action data automation |
| CN110129869A (en) * | 2019-05-24 | 2019-08-16 | 江西景旺精密电路有限公司 | A kind of method and system automatically analyzing addition gold salt based on real-time online |
| CN110433728A (en) * | 2019-08-14 | 2019-11-12 | 江西景旺精密电路有限公司 | A kind of liquid medicine feedway |
| CN111254421A (en) * | 2020-01-18 | 2020-06-09 | 信泰电子（西安）有限公司 | Online concentration analysis medicine system |
Non-Patent Citations (2)
| Title |
|---|
| 付艺 等: "谈PCB工厂在线分析系统应用的可行性", 《印制电路信息》 * |
| 谢陈难: "统计制程管制在PCB生产中的应用", 《印制电路信息》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117172624A (en) * | 2023-11-03 | 2023-12-05 | 长春易加科技有限公司 | Intelligent monitoring management system of wire harness production line |
| CN117172624B (en) * | 2023-11-03 | 2024-01-05 | 长春易加科技有限公司 | Intelligent monitoring management system of wire harness production line |
| CN117708552A (en) * | 2024-02-06 | 2024-03-15 | 华能江苏综合能源服务有限公司 | Power station operation data real-time monitoring method based on edge calculation |
| CN117708552B (en) * | 2024-02-06 | 2024-05-10 | 华能江苏综合能源服务有限公司 | Power station operation data real-time monitoring method based on edge calculation |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113189940B (en) | 2023-06-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN100399321C (en) | Statistical process analyse system and statistical process analyse method performed by computer | |
| Abdelrahman et al. | Assembly line anomaly detection and root cause analysis using machine learning | |
| US11170332B2 (en) | Data analysis system and apparatus for analyzing manufacturing defects based on key performance indicators | |
| CN113189940A (en) | Method for realizing PCB liquid medicine analysis and adjustment based on ERP system, electronic equipment and storage medium | |
| EP1907966B1 (en) | Automated quality control method and system for genetic analysis | |
| CN1312469C (en) | Good-or-not decision device, decision programme, method and multi-variable statistical analyzing device | |
| JP7059684B2 (en) | Anomaly detection data identification device and anomaly identification system | |
| US20030097238A1 (en) | Method for automated exception-based quality control compliance for point-of-care devices | |
| US10423669B2 (en) | Manufacturing process visualization apparatus and method | |
| CN102422162A (en) | Automatic analysis device and analysis method | |
| EP1862928A1 (en) | A system and a method for managing sample test results and respective sample result context information | |
| Stoyanov et al. | Predictive analytics methodology for smart qualification testing of electronic components | |
| JP2005258546A (en) | Processing management system and process management system | |
| Ostadi et al. | Process capability studies in an automated flexible assembly process: A case study in an automotive industry | |
| CN117455318A (en) | Monitoring method and device for automobile part detection process and electronic equipment | |
| CN117786565A (en) | Method and device for determining semiconductor abnormal chip and electronic equipment | |
| JP2009037382A (en) | System for monitoring manufacturing line | |
| CN117010549A (en) | Information tracing method and terminal based on big data management system | |
| JP5751333B2 (en) | Management device, management method, program, and recording medium | |
| CN112308816A (en) | Image recognition device, image recognition method and computer program product thereof | |
| JP2005338906A (en) | Defect detection method for substrate and defect detection system therefor | |
| US11592807B2 (en) | Manufacturing defect factor searching method and manufacturing defect factor searching apparatus | |
| JP2005235130A (en) | Data trace system of manufacture/development information | |
| US20040175943A1 (en) | System and method of pattern detection for semiconductor wafer map data | |
| JP2005197629A (en) | Method and apparatus for specifying problematic process |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |