CN116843496A - Flexible package enterprise dynamic production process guiding method, system and equipment - Google Patents
Flexible package enterprise dynamic production process guiding method, system and equipment Download PDFInfo
- Publication number
- CN116843496A CN116843496A CN202310838046.XA CN202310838046A CN116843496A CN 116843496 A CN116843496 A CN 116843496A CN 202310838046 A CN202310838046 A CN 202310838046A CN 116843496 A CN116843496 A CN 116843496A
- Authority
- CN
- China
- Prior art keywords
- parameters
- parameter
- module
- humidity
- atmospheric pressure
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 168
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 88
- 230000008569 process Effects 0.000 claims abstract description 125
- 239000000463 material Substances 0.000 claims abstract description 39
- 239000003292 glue Substances 0.000 claims abstract description 31
- 239000002131 composite material Substances 0.000 claims abstract description 25
- 230000007613 environmental effect Effects 0.000 claims abstract description 16
- 150000001875 compounds Chemical class 0.000 claims abstract description 11
- 238000013329 compounding Methods 0.000 claims abstract description 10
- 238000004513 sizing Methods 0.000 claims abstract description 4
- 238000004590 computer program Methods 0.000 claims description 15
- 238000013499 data model Methods 0.000 claims description 12
- 238000009459 flexible packaging Methods 0.000 claims description 10
- 238000001914 filtration Methods 0.000 claims description 9
- 238000012216 screening Methods 0.000 claims description 9
- 238000003860 storage Methods 0.000 claims description 8
- 239000000047 product Substances 0.000 description 33
- 238000010586 diagram Methods 0.000 description 9
- 230000008859 change Effects 0.000 description 8
- 230000004913 activation Effects 0.000 description 4
- 238000007726 management method Methods 0.000 description 4
- 230000003213 activating effect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 239000011265 semifinished product Substances 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/242—Query formulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2468—Fuzzy queries
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- General Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Computational Linguistics (AREA)
- Software Systems (AREA)
- Fuzzy Systems (AREA)
- Human Resources & Organizations (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Automation & Control Theory (AREA)
- Strategic Management (AREA)
- Primary Health Care (AREA)
- Marketing (AREA)
- Probability & Statistics with Applications (AREA)
- General Health & Medical Sciences (AREA)
- Economics (AREA)
- Health & Medical Sciences (AREA)
- Manufacturing & Machinery (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
A flexible package enterprise dynamic production process guiding method comprises the following steps: before receiving a start-up instruction, the temperature, humidity and atmospheric pressure sensor data of a current workshop are called, composite processing technological parameters corresponding to current environmental conditions are obtained according to the temperature, humidity, atmospheric pressure, material quality and standard processing speed parameters, and technological parameters of current equipment and glue technological suggestions are provided for an operation end, so that the operation end sets a compounding machine, allocates glue component proportions and sets sizing amount according to the set of guiding parameters; wherein the composite processing technological parameters come from a standard appointed by a user or from a self-learning model database; in the self-learning model database, data are automatically collected once every preset time, and specific values of all other process parameters automatically collected from the compound machine equipment are respectively stored according to temperature, humidity, atmospheric pressure, products, material quality and speed parameters in each collection record.
Description
Technical Field
The invention relates to the field of computers, in particular to a flexible package enterprise dynamic production process guiding method, system and equipment.
Background
The production mode of the compound procedure of the soft package production enterprises is that two layers of films are adhered together by glue to form a new double-layer film. The common compounding equipment comprises two kinds of solvent-free compounding machines and dry compounding machines, the production process is completely different, and the glue is completely different.
The production speed of the composite process is high, and if quality problems occur, the general loss is relatively large, so that the technological requirement of an order is known in advance. The prior solution mainly depends on paper process sheets and places production equipment in a relatively closed space, so as to aim at realizing constant temperature and humidity and reduce negative effects caused by environmental factors. From the practical implementation condition and effect, the constant temperature and humidity can not be basically achieved because the space where the equipment is placed can not be fully sealed, because materials need to enter and exit, and the local environmental conditions are still influenced by weather factors. Meanwhile, the paper process sheet only prescribes standard process parameter setting values, and is not dynamic standard process parameter setting which changes according to environmental conditions. Thus, the uncertainty of quality control in the composite production process is still caused, the quality accident is caused accidentally, and the loss caused by the high production speed is not negligible.
The composite procedure needs to record two kinds of feeding details, semi-finished product production details and process parameter details, at present, manual recording is adopted, and some factories record paper records in an ERP system or an EXCEL shared form, so that real-time performance cannot be realized in production progress management and process management. And manual recording has human factor interference, so that real actual data cannot be obtained, and cost management and performance management can be affected.
Disclosure of Invention
The invention aims to provide a dynamic production process guiding method, a system and equipment for a flexible package enterprise, which can provide dynamic production process guiding, reduce the occurrence probability of composite production quality accidents and enable a composite workshop to avoid the dilemma that a paper process bill cannot guide real production.
The invention aims to provide a flexible package enterprise dynamic production process guiding method, system and equipment, which can establish a self-learning model and give current equipment process parameters and glue process suggestions according to parameters such as temperature, humidity, atmospheric pressure, material quality, standard processing speed and the like.
The invention aims to provide a method, a system and equipment for guiding dynamic production process of a flexible package enterprise, which can provide accurate query and fuzzy query, and is more convenient for obtaining dynamic production process guidance and process parameter suggestion.
In order to achieve at least one of the objects of the present invention, the present invention provides a flexible packaging enterprise dynamic production process guidance method, comprising the steps of:
before receiving a start-up instruction, the temperature, humidity and atmospheric pressure sensor data of a current workshop are called, composite processing technological parameters corresponding to current environmental conditions are obtained according to the temperature, humidity, atmospheric pressure, material quality and standard processing speed parameters, and technological parameters of current equipment and glue technological suggestions are provided for an operation end, so that the operation end sets a compounding machine, allocates glue component proportions and sets sizing amount according to the set of guiding parameters;
wherein the composite processing technological parameters come from a standard appointed by a user or from a self-learning model database; in the self-learning model database, data are automatically collected once every preset time, and specific values of all other process parameters automatically collected from the compound machine equipment are respectively stored according to temperature, humidity, atmospheric pressure, products, material quality and speed parameters in each collection record.
In some embodiments, the flexible packaging enterprise dynamic manufacturing process guidance method comprises the following compliance determination steps: and performing compliance judgment on the equipment process parameter value and the glue configuration parameter.
In some embodiments, wherein the compliance determination step further comprises the steps of: performing a determination based on a time interval length of the equipment process parameter variation; judging whether the technological parameters of equipment and the glue configuration parameters are unchanged within a time range preset by a user; if the process parameters are not changed, the process parameters are compliant, and if the process parameters are changed, a non-compliant alarm is fed back to remind the operation end to readjust the process parameters of the equipment.
In some embodiments, wherein the flexible packaging enterprise dynamic manufacturing process guidance method comprises the following self-learning steps: establishing a compliance process parameter database and a production traceability parameter database; judging whether the technological parameters of the current equipment are unchanged within a preset time range; if the temperature, the humidity and the atmospheric pressure are unchanged, a compliance mark is set, the temperature, the humidity and the atmospheric pressure in the period of time are read as parameter values of retrieval conditions, and the parameter values are input into a compliance process parameter database; and if the temperature, the humidity and the atmospheric pressure are changed, reading the parameter values of the temperature, the humidity and the atmospheric pressure in the period of time, and inputting the parameter values into a production traceability parameter database.
According to another aspect of the present invention, there is also provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the flexible package enterprise dynamic manufacturing process guidance method.
According to another aspect of the present invention, there is also provided a flexible packaging enterprise dynamic production process guidance apparatus, comprising:
a memory for storing a software application,
and the processor is used for executing the software application program, and each program of the software application program correspondingly executes the steps of the dynamic production process guidance method of the flexible package enterprise.
According to another aspect of the invention, there is also provided a flexible packaging enterprise dynamic production process guidance system, which includes a sensor data retrieval module, a self-learning data model module, a process parameter suggestion feedback module, and a user-specified standard module; the sensor data calling module is used for calling temperature, humidity and atmospheric pressure sensor data of a current workshop before receiving a start-up instruction, and the process parameter suggestion feedback module obtains composite processing process parameters corresponding to current environmental conditions according to temperature, humidity, atmospheric pressure, material quality and standard processing speed parameters and provides process parameters of current equipment and glue process suggestions for an operation end; the composite processing process parameters of the current environmental conditions acquired by the process parameter suggestion feedback module come from the self-learning data model module or the user-specified standard module; and a self-learning model database is built in the self-learning data model module, data is automatically collected once every preset time, and each collection record stores all other process parameter specific values automatically collected from the compound machine equipment according to temperature, humidity, atmospheric pressure, products, material quality and speed parameters. The user-specified criteria module is configured to provide user-specified criteria process parameters.
In some embodiments, wherein the flexible package enterprise dynamic manufacturing process guidance system further comprises a compliance determination module for performing compliance determinations on the equipment process parameter values and the glue configuration parameters.
In some embodiments, the self-learning data model module includes a self-learning model database module that establishes a compliance process parameter database and a production traceability parameter database, and a parameter variation determination module that determines whether the current equipment process parameter has not changed within a preset time range.
In some embodiments, the flexible packaging enterprise dynamic production process guidance system further comprises a screening and filtering module, wherein the screening and filtering module obtains material quality and speed information according to the current order, and screens out matched produced process parameter records from a stored process parameter database according to the priority sequence of products, temperature, humidity, atmospheric pressure, material quality and speed, and provides the process parameter records for an operation end to conduct sleeve process parameter selection.
Drawings
FIG. 1 is a schematic diagram of a flexible package enterprise dynamic manufacturing process guidance system, according to one embodiment of the invention.
Fig. 2 is a schematic diagram of the flexible package enterprise dynamic manufacturing process guidance system according to the above embodiment of the present invention.
Fig. 3 is a schematic view of the flexible package enterprise dynamic manufacturing process guidance system according to the above embodiment of the present invention.
Fig. 4 is a schematic diagram of the flexible package enterprise dynamic manufacturing process guidance system according to the above embodiment of the present invention.
Fig. 5 is a schematic diagram of the flexible package enterprise dynamic manufacturing process guidance system according to the above embodiment of the present invention.
Fig. 6 is a schematic diagram of the flexible package enterprise dynamic manufacturing process guidance system according to the above embodiment of the present invention.
Fig. 7 is a schematic structural view of the flexible package enterprise dynamic manufacturing process guidance system according to the above embodiment of the present invention.
Detailed Description
The following description is presented to enable one of ordinary skill in the art to make and use the invention. The preferred embodiments in the following description are by way of example only and other obvious variations will occur to those skilled in the art. The basic principles of the invention defined in the following description may be applied to other embodiments, variations, modifications, equivalents, and other technical solutions without departing from the spirit and scope of the invention.
It will be understood that the terms "a" and "an" should be interpreted as referring to "at least one" or "one or more," i.e., in one embodiment, the number of elements may be one, while in another embodiment, the number of elements may be plural, and the term "a" should not be interpreted as limiting the number.
The present invention relates to computer programs. Based on the flexible package enterprise dynamic production process guiding method, the invention provides a solution for controlling or processing the external or internal object of the computer by executing the computer program programmed according to the process by the computer based on the processing flow of the computer program. The method can utilize a computer system, can provide dynamic production process guidance, reduces the occurrence probability of composite production quality accidents, and enables a composite workshop to avoid the dilemma that a paper process bill cannot guide real production; a self-learning model can be established, and current equipment process parameters and glue process suggestions are given according to parameters such as temperature, humidity, atmospheric pressure, material quality, standard processing speed and the like; the method can provide accurate query and fuzzy query, and is more convenient for obtaining dynamic production process guidance and process parameter suggestion.
Specifically, the flexible package enterprise dynamic production process guiding method comprises the following steps:
before receiving a start-up instruction, the temperature, humidity and atmospheric pressure sensor data of a current workshop are called, composite processing technological parameters corresponding to current environmental conditions are obtained according to the temperature, humidity, atmospheric pressure, material quality and standard processing speed parameters, and technological parameters of current equipment and glue technological suggestions are provided for an operation end, so that the operation end sets a compounding machine, allocates glue component proportions and sets sizing amount according to the set of guiding parameters;
wherein the composite processing technological parameters come from a standard appointed by a user or from a self-learning model database; in the self-learning model database, data are automatically collected once every preset time, and specific values of all other process parameters automatically collected from the compound machine equipment are respectively stored according to temperature, humidity, atmospheric pressure, products, material quality and speed parameters in each collection record.
More specifically, the flexible package enterprise dynamic production process guidance method comprises the following compliance judging steps:
and performing compliance judgment on the equipment process parameter value and the glue configuration parameter.
More specifically, the compliance determination step further includes the steps of:
performing a determination based on a time interval length of the equipment process parameter variation;
judging whether the technological parameters of equipment and the glue configuration parameters are unchanged within a time range preset by a user;
if the process parameters are not changed, the process parameters are compliant, and if the process parameters are changed, a non-compliant alarm is fed back to remind the operation end to readjust the process parameters of the equipment.
More specifically, the flexible package enterprise dynamic production process guidance method comprises the following self-learning steps:
establishing a compliance process parameter database and a production traceability parameter database;
judging whether the technological parameters of the current equipment are unchanged within a preset time range;
if the temperature, the humidity and the atmospheric pressure are unchanged, a compliance mark is set, the temperature, the humidity and the atmospheric pressure in the period of time are read as parameter values of retrieval conditions, and the parameter values are input into a compliance process parameter database; and
if the temperature, the humidity and the atmospheric pressure are changed, the parameter values of the temperature, the humidity and the atmospheric pressure in the period of time are read, and the parameter values are input into a production traceability parameter database.
More specifically, the flexible package enterprise dynamic production process guidance method comprises the following steps of providing parameter suggestion:
when receiving a new order production requirement sent by an operation end, pushing a composite procedure task list activation instruction to the operation end;
when receiving the process parameter activating operation of the operation end, reading the current data values of the temperature, humidity and atmospheric pressure sensors;
and obtaining material quality and speed information according to the current order, screening matched produced process parameter records from a stored process parameter database according to the priority sequence of the product, temperature, humidity, atmospheric pressure, material quality and speed, and providing the process parameter records for an operation end to perform sleeve process parameter selection.
More specifically, the step of providing parameter suggestion further includes the step of filtering by:
judging whether the histories of the same products exist or not;
if there is a history of the same product, then temperature, humidity, atmospheric pressure are prioritized;
if the history records of the same product are not available, the same material is prioritized;
if the product and the material have no history record, no technological parameter suggestion is output to the operation end.
More specifically, the providing parameter suggestion step further includes the steps of:
providing a search instruction while outputting a non-process parameter suggestion to an operation end;
acquiring information comprising products or materials sent by an operation end, performing record searching, and feeding back searched parameter suggestions to the operation end;
if no search result exists, the feedback operation end automatically searches the proposal of the technological parameter, and acquires and stores the new technological parameter input by the operation end.
More specifically, the flexible package enterprise dynamic production process guidance method comprises the following steps: when an instruction to start production is received, self-learning is performed.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided in the form of a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
Those skilled in the art will appreciate that the methods of the present invention may be implemented in hardware, software, or a combination of hardware and software. The invention may be implemented in a centralized fashion in at least one computer system or in a distributed fashion where different elements are spread across several interconnected computer systems. Any kind of computer system or other apparatus adapted for carrying out the methods is suited. The combination of hardware and software may be a general-purpose computer system with a computer program installed thereon, and the computer system may be controlled to operate according to the method by installing and executing the program.
The present invention can be embedded in a computer program product, which comprises all the features enabling the implementation of the methods described herein. The computer program product is embodied in one or more computer-readable storage media having computer-readable program code embodied therein. According to another aspect of the invention there is also provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, is capable of performing the steps of the method of the invention. Computer storage media is the medium in computer memory that stores some discrete physical quantity. Computer storage media includes, but is not limited to, semiconductors, disk storage, magnetic cores, drums, tapes, laser disks, and the like. It will be appreciated by those skilled in the art that the computer storage media is not limited to the foregoing examples, which are provided by way of example only and are not limiting of the invention.
According to another aspect of the present invention, there is also provided a flexible packaging enterprise dynamic production process guidance apparatus, comprising: the system comprises a software application, a memory for storing the software application, and a processor for executing the software application. Each of the software applications is capable of correspondingly executing steps in the flexible package enterprise dynamic manufacturing process guidance method of the present invention.
Corresponding to the embodiment of the method of the present invention, as shown in fig. 1 to 6, according to another aspect of the present invention, there is further provided a flexible package enterprise dynamic production process guidance system, which is an application of the flexible package enterprise dynamic production process guidance method of the present invention in computer program improvement.
Specifically, the flexible package enterprise dynamic production process guidance system comprises a sensor data retrieval module, a self-learning data model module, a process parameter suggestion feedback module and a user specified standard module. The sensor data calling module is used for calling temperature, humidity and atmospheric pressure sensor data of the current workshop before receiving a start-up instruction, and the process parameter suggestion feedback module obtains composite processing process parameters corresponding to the current environmental conditions according to temperature, humidity, atmospheric pressure, material quality and standard processing speed parameters and provides process parameters of current equipment and glue process suggestions for an operation end. And the composite processing process parameters of the current environmental conditions acquired by the process parameter suggestion feedback module come from the self-learning data model module or the user-specified standard module. And a self-learning model database is built in the self-learning data model module, data is automatically collected once every preset time, and each collection record stores all other process parameter specific values automatically collected from the compound machine equipment according to temperature, humidity, atmospheric pressure, products, material quality and speed parameters. The user-specified criteria module is configured to provide user-specified criteria process parameters.
The flexible package enterprise dynamic production process guidance system further comprises a compliance judging module, wherein the compliance judging module is used for executing compliance judgment on the equipment process parameter values and the glue configuration parameters. The compliance judging module further comprises an execution judging module, a compliance marking module and a non-compliance alarming module, wherein the execution judging module executes judgment according to the time interval length of the equipment technological parameter change, and the compliance marking module executes compliance marking when the equipment technological parameter and the glue configuration parameter are unchanged within a time range preset by a user. And in the time range preset by the user, when the equipment process parameters and the glue configuration parameters are changed, the non-compliance alarm module feeds back a non-compliance alarm to remind the operation end to readjust the equipment process parameters.
The self-learning data model module comprises a self-learning model database module and a parameter change judging module. The self-learning model database module establishes a compliance process parameter database and a production traceability parameter database. The parameter change judging module judges whether the current equipment process parameter is not changed within a preset time range. If the temperature, the humidity and the atmospheric pressure are unchanged, a compliance mark is set, parameter values of the temperature, the humidity and the atmospheric pressure in the period of time are read and used as retrieval conditions, the parameter values are input into a compliance process parameter database of the self-learning model database module, and if the temperature, the humidity and the atmospheric pressure are changed, parameter values of the temperature, the humidity and the atmospheric pressure in the period of time are read and input into a production traceability parameter database of the self-learning model database module.
More specifically, the flexible package enterprise dynamic production process guidance system further comprises a providing parameter suggestion module, wherein the providing parameter suggestion module comprises an activation instruction module, a current data value reading module and a screening and filtering module. And when the activation instruction module receives the demand of new order production sent by the operation end, pushing a composite procedure task list activation instruction to the operation end. And when receiving the process parameter activating operation of the operation end, the current data value reading module reads the current data values of the temperature, humidity and atmospheric pressure sensors. And the screening and filtering module obtains material quality and speed information according to the current order, screens matched produced process parameter records from the stored process parameter database according to the priority sequence of the product, temperature, humidity, atmospheric pressure, material quality and speed, and provides the process parameter records for the operation end to perform sleeve process parameter selection.
The screening and filtering module comprises a history record judging module, a priority judging module and a process parameter suggestion feedback module. The history record judging module judges whether the histories of the same product exist or not, and the priority judging module is used for executing priority ordering: if there is a history of the same product, then temperature, humidity, atmospheric pressure are prioritized; if there is no history of the same product, then the same material is prioritized. And if the product and the material have no history record, the process parameter suggestion feedback module outputs a no-process parameter suggestion to the operation end.
More specifically, the flexible package enterprise dynamic manufacturing process guidance system further includes a lookup search module configured to perform: providing a search instruction while outputting a non-process parameter suggestion to an operation end; acquiring information comprising products or materials sent by an operation end, performing record searching, and feeding back searched parameter suggestions to the operation end; if no search result exists, the feedback operation end automatically searches the proposal of the technological parameter, and acquires and stores the new technological parameter input by the operation end.
In a specific embodiment, before starting a work, the system can call a temperature and humidity atmospheric pressure sensor of a current workshop to acquire a composite processing technological parameter suitable for the environmental condition, wherein the parameter can be a standard designated by a previous user, or can be finished by the system through big data accumulation self-learning, the system can give out current equipment technological parameters and glue technological suggestions according to parameters such as temperature, humidity, atmospheric pressure, material quality, standard processing speed and the like, and a worker can set on a compounding machine according to the parameters, allocate glue component proportion and set glue size. Since this parameter is a summary of the previous experience of success, the probability of re-use also being successful is very high, thus greatly reducing the probability of occurrence of composite production quality accidents. The dynamic technological parameter guidance brought by the invention enables the compound workshop to avoid the dilemma that the paper technological sheet cannot guide the real production.
For example, data is automatically collected every ten seconds. Each collection record is stored with specific values of other process parameters automatically collected from the compound machine equipment according to parameters such as temperature, humidity, atmospheric pressure, products, material materials, speed and the like (the temperature, the atmospheric pressure and the speed are all integral values), and the integral values refer to 25 ℃ and 55% of air humidity. The compliance judgment of the equipment process parameter value and the glue configuration parameter is a contract line automatic judgment, namely, the compliance judgment is automatically judged according to the time interval length of the equipment process parameter change, and a user can prescribe that if the equipment process parameter and the glue configuration parameter are unchanged within 5 minutes, the process parameters within the period are all compliance, namely, the quality of the output produced by using the set of parameters is in accordance with the requirements. The process parameters are not changed by the personnel on site without manual adjustment. The on-site staff can only adjust the technological parameters of the equipment when finding that the prior technological parameters are not set correctly and quality problems can occur to the produced products. The present invention uses this feature to set the self-learning principle of operation, i.e. if the current parameters do not change within 5 minutes, then all process parameter values for the time thereafter are compliant, and the database of recorded compliant process parameters is the parameter values according to the temperature, humidity and atmospheric pressure as the search conditions for the time, even if the temperature, humidity and atmospheric pressure may change, each auto-collection record is only the same parameter value at the atmospheric pressure of the temperature, humidity and the like for that record, and is compliant. Records within these 5 minutes, without compliance markers, are used only as process parameter records for production traceability.
In a specific embodiment, parameter suggestions are given. When a new order is to be produced, staff needs to activate a compound process task order of the order in the system, at the moment, the staff clicks the process parameters, the system can firstly read the current values of the temperature, humidity and atmospheric pressure sensors, then obtain material quality and speed information according to the current order, and according to the front-back priority sequence of products, temperature, humidity, atmospheric pressure, material quality and speed, the matched produced process parameter records are screened out from a process parameter database stored in the system, and are provided for the staff to select, and the staff decides which set of process parameters to use. The screening and filtering mode is that if the histories of the same products exist, the temperature, the humidity and the atmospheric pressure are prioritized; if the history records of the same product are not available, the same material is prioritized; if the product and the material have no history record, no technological parameter suggestion exists, and staff can search other records by searching the product and/or the material or do not consider reference history records any more and can search suitable technological parameters by themselves. After the production is started, the self-learning stage is entered.
In the plant parameters of fig. 3, the process time refers to the specific time when this proposed standard process was created. The product name (and possibly other names) is used with reference to the manufacturing process of other products when giving a new product. According to the flexible package enterprise dynamic production process guidance system, the self-learning model is arranged, so that the optimal recorded time can be provided according to the temperature and the humidity.
As shown in fig. 6, the search module further includes an accurate query module and a fuzzy query module, where the accurate query module is configured to provide a process parameter data search result of a unique product according to a task list number or a lot number or a product name or a product code. The fuzzy query module is used for providing fuzzy query results of process parameter data of a plurality of products according to the product types and the length and width size information.
It will be appreciated that the ambient temperature, humidity and barometric pressure in a compounding plant will vary significantly with weather changes, such as changes in temperature and humidity in the morning and noon, and changes in the barometric pressure in the raining and sunny days, which will affect the process parameters of the compounding plant, and in principle will require some adjustment to the environmental changes. But have previously been neglected, causing quality problems, namely, a larger amount of waste. By applying the invention, the atmospheric pressure of the ambient temperature and humidity is automatically obtained through the sensor, the system can monitor the change of the ambient parameters in real time, and when the change value exceeds the allowable range, the system can automatically trigger the process to check, adjust and early warn, warn workers to check the product quality at the moment, and adjust the operation parameters of equipment if necessary. This may assist the user in reducing the quality cost loss due to environmental changes.
It will be appreciated by persons skilled in the art that the present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, systems and computer program products according to the invention. Each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart and/or block diagram block or blocks.
It will be appreciated by persons skilled in the art that the embodiments of the invention described above and shown in the drawings are by way of example only and are not limiting. The objects of the present invention have been fully and effectively achieved. The functional and structural principles of the present invention have been shown and described in the examples and embodiments of the invention may be modified or practiced without departing from such principles.
Claims (10)
1. The flexible package enterprise dynamic production process guiding method is characterized by comprising the following steps of:
before receiving a start-up instruction, the temperature, humidity and atmospheric pressure sensor data of a current workshop are called, composite processing technological parameters corresponding to current environmental conditions are obtained according to the temperature, humidity, atmospheric pressure, material quality and standard processing speed parameters, and technological parameters of current equipment and glue technological suggestions are provided for an operation end, so that the operation end sets a compounding machine, allocates glue component proportions and sets sizing amount according to the set of guiding parameters;
wherein the composite processing technological parameters come from a standard appointed by a user or from a self-learning model database; in the self-learning model database, data are automatically collected once every preset time, and specific values of all other process parameters automatically collected from the compound machine equipment are respectively stored according to temperature, humidity, atmospheric pressure, products, material quality and speed parameters in each collection record.
2. The flexible package business dynamic manufacturing process guidance method according to claim 1, wherein the flexible package business dynamic manufacturing process guidance method comprises the following compliance judging step: and performing compliance judgment on the equipment process parameter value and the glue configuration parameter.
3. The flexible package business dynamic manufacturing process guidance method of claim 2, wherein the compliance determination step further comprises the steps of: performing a determination based on a time interval length of the equipment process parameter variation; judging whether the technological parameters of equipment and the glue configuration parameters are unchanged within a time range preset by a user; if the process parameters are not changed, the process parameters are compliant, and if the process parameters are changed, a non-compliant alarm is fed back to remind the operation end to readjust the process parameters of the equipment.
4. A flexible package business dynamic manufacturing process guidance method according to any one of claims 1 to 3, wherein the flexible package business dynamic manufacturing process guidance method comprises the following self-learning steps: establishing a compliance process parameter database and a production traceability parameter database; judging whether the technological parameters of the current equipment are unchanged within a preset time range; if the temperature, the humidity and the atmospheric pressure are unchanged, a compliance mark is set, the temperature, the humidity and the atmospheric pressure in the period of time are read as parameter values of retrieval conditions, and the parameter values are input into a compliance process parameter database; and if the temperature, the humidity and the atmospheric pressure are changed, reading the parameter values of the temperature, the humidity and the atmospheric pressure in the period of time, and inputting the parameter values into a production traceability parameter database.
5. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed by a processor, performs the steps of the flexible packaging enterprise dynamic manufacturing process guidance method of any of claims 1 to 4.
6. A flexible package enterprise dynamic manufacturing process guidance device, comprising:
a memory for storing a software application,
a processor for executing the software application program, each program of the software application program correspondingly executing the steps of the flexible package enterprise dynamic production process guidance method according to any one of claims 1 to 4.
7. The flexible package enterprise dynamic production process guidance system is characterized by comprising a sensor data retrieval module, a self-learning data model module, a process parameter suggestion feedback module and a user specified standard module; the sensor data calling module is used for calling temperature, humidity and atmospheric pressure sensor data of a current workshop before receiving a start-up instruction, and the process parameter suggestion feedback module obtains composite processing process parameters corresponding to current environmental conditions according to temperature, humidity, atmospheric pressure, material quality and standard processing speed parameters and provides process parameters of current equipment and glue process suggestions for an operation end; the composite processing process parameters of the current environmental conditions acquired by the process parameter suggestion feedback module come from the self-learning data model module or the user-specified standard module; and a self-learning model database is built in the self-learning data model module, data is automatically collected once every preset time, and each collection record stores all other process parameter specific values automatically collected from the compound machine equipment according to temperature, humidity, atmospheric pressure, products, material quality and speed parameters. The user-specified criteria module is configured to provide user-specified criteria process parameters.
8. The flexible package business dynamic manufacturing process guidance system of claim 7, wherein the flexible package business dynamic manufacturing process guidance system further comprises a compliance determination module for performing compliance determinations on equipment process parameter values and glue configuration parameters.
9. The flexible package enterprise dynamic manufacturing process guidance system of claim 7, wherein the self-learning data model module comprises a self-learning model database module and a parameter variation judging module, the self-learning model database module establishes a compliance process parameter database and a production traceability parameter database, and the parameter variation judging module judges whether the current equipment process parameter has not changed within a preset time range.
10. The flexible packaging enterprise dynamic production process guidance system of claim 7, wherein the flexible packaging enterprise dynamic production process guidance system further comprises a screening and filtering module, the screening and filtering module obtains material quality and speed information according to the current order, and screens matched produced process parameter records from a stored process parameter database according to the priority of products, temperature, humidity, atmospheric pressure, material quality and speed, and provides the process parameter records for an operation end to conduct sleeve process parameter selection.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310838046.XA CN116843496A (en) | 2023-07-10 | 2023-07-10 | Flexible package enterprise dynamic production process guiding method, system and equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310838046.XA CN116843496A (en) | 2023-07-10 | 2023-07-10 | Flexible package enterprise dynamic production process guiding method, system and equipment |
Publications (1)
Publication Number | Publication Date |
---|---|
CN116843496A true CN116843496A (en) | 2023-10-03 |
Family
ID=88159773
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310838046.XA Pending CN116843496A (en) | 2023-07-10 | 2023-07-10 | Flexible package enterprise dynamic production process guiding method, system and equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116843496A (en) |
-
2023
- 2023-07-10 CN CN202310838046.XA patent/CN116843496A/en active Pending
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN115545681B (en) | Intelligent process analysis and supervision method and system for engineering project management | |
US7035877B2 (en) | Quality management and intelligent manufacturing with labels and smart tags in event-based product manufacturing | |
US6651030B2 (en) | Method and system for collecting and retrieving time-series, real-time and non-real-time data | |
US7032816B2 (en) | Communication between machines and feed-forward control in event-based product manufacturing | |
US7380213B2 (en) | User interface for reporting event-based production information in product manufacturing | |
CN108876122A (en) | Processing method, device, computer equipment and the storage medium of batch work order | |
JP2021529709A (en) | How to predict the presence of product defects during the intermediate processing process of thin products wound on rolls | |
TW200905589A (en) | Work management apparatus and work management method | |
EP3690583A1 (en) | Trace data acquisition system, trace data acquisition method, and program | |
CN113561656A (en) | Method, system and equipment for monitoring and tracing production process quality of printing workshop | |
CN116757464B (en) | Production plan management method, system, equipment and readable storage medium | |
CN111950577A (en) | Point inspection method and device | |
CN116167697B (en) | Inventory data management system for medical consumables | |
EP4244144A1 (en) | Method for operating a labelling system | |
JP7252703B2 (en) | Operation support device, operation support method, operation support program, and recording medium | |
CN113580763B (en) | Control method, system and equipment for output parameters of printing semi-finished products in printing workshop | |
CN113580762B (en) | Printing workshop production process parameter early warning method, system and equipment | |
CN116843496A (en) | Flexible package enterprise dynamic production process guiding method, system and equipment | |
US20240053753A1 (en) | Method and system for converting a start-object situation into a target-object situation (Intuitive Tacit Solution Finding) | |
CN104077662A (en) | Job scheduling management method and device | |
US20230221710A1 (en) | Method and system for quality inspection | |
Mijailović et al. | QUALITY CONTROL IN THE MANUFACTURING INDUSTRY BASED ON THE APPLICATION OF COMPUTER VISION | |
CN118296526A (en) | Service problem analysis method and device, storage medium and electronic equipment | |
JP6578043B1 (en) | Information generation system | |
CN114637255A (en) | CNC (computer numerical control) machine debugging system and method |
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 |