CN113919813A - Production line dynamic value flow analysis method and system based on production line dynamic value flow graph - Google Patents
Production line dynamic value flow analysis method and system based on production line dynamic value flow graph Download PDFInfo
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Abstract
本发明公开了一种产线动态价值流图的生成方法，包括：从数据源中拉取或者接收数据信息；将获取到的数据信息进行定义抽象；配置抽象后的数据信息，将数据信息与动态价值流图的相应信号点相匹配；对配置后的数据信息进行数据分析，生成动态价值流图，并同时储存至历史数据库。本发明还公开了上述方法生成的产线动态价值流图。本发明还公开了基于上述产线动态价值流图的产线动态价值流分析方法及实现所述方法的系统。本发明中的分析方法可以通过动态价值流图将整个产线的状态及变化实时地显示在终端，便于生产管理人员进行修正，提高生产效率。
The invention discloses a method for generating a dynamic value flow map of a production line, comprising: pulling or receiving data information from a data source; defining and abstracting the acquired data information; The corresponding signal points of the dynamic value stream map are matched; data analysis is performed on the configured data information to generate a dynamic value stream map, which is stored in the historical database at the same time. The invention also discloses a production line dynamic value flow map generated by the above method. The invention also discloses a production line dynamic value flow analysis method based on the above-mentioned production line dynamic value flow diagram and a system for realizing the method. The analysis method in the present invention can display the state and changes of the entire production line on the terminal in real time through the dynamic value flow graph, which is convenient for the production management personnel to make corrections and improves the production efficiency.
Description
Technical Field
The invention belongs to the technical field of industrial production solutions, relates to a production line dynamic value flow analysis method and system based on a production line dynamic value flow graph, and provides an intelligent production line solution.
Background
With the development of computer aided engineering technology, when various products are involved in the management process of a workshop production line, a fault occurring on any production line is a change process, the change process is influenced by various factors, and a plurality of events are in the production process according to a certain logical relationship sequence, interference of different factors on the production process and the relationship of each event in the process. Based on interconnection and intercommunication of manufacturing systems, the state of a manufacturing site is mapped into the system, the state of the value flow is presented in real time, the expression of the material flow and the process flow is realized, the prediction of the value flow is realized by simulating the material flow and the process flow, and the trend discovery and prediction are carried out by combining with data science. On the basis of the one-way high-precision mapping of the physical world to the value flow graph, parameters obtained through analysis, prediction and optimization are transmitted to the physical world, and the digital twin closed loop is completed. Because the scenes comprise processes, events and states, the transactions on the production line can be abstracted into a uniform mode, an analysis method and a system based on the abstract mode are established, the logical relationship in the transactions is determined, the importance of each transaction is determined, and then importance sequencing is obtained. The affairs in the production process are analyzed, so that the production line is ensured to run safely and stably.
Disclosure of Invention
In order to solve the defects in the prior art, the invention aims to provide a method and a system for analyzing a dynamic value flow of a production line based on the dynamic value flow diagram of the production line. The display of the dynamic value flow graph is subjected to complete data monitoring, important key indexes such as the utilization rate of suppliers, demanders, production equipment and working hours are collected and displayed on the value flow graph in an instant and dynamic mode, and the running condition of a production line can be known at any time.
In order to achieve the purpose, the invention provides the following technical scheme:
the invention provides a method for generating a dynamic value flow chart of a production line, which comprises the following steps:
step one, pulling or receiving data information from a data source;
step two, defining and abstracting the data information acquired in the step one;
step three, configuring abstracted data information, and matching the data information with corresponding signal points of the dynamic value flow graph;
and fourthly, performing data analysis on the configured data information to generate a dynamic value flow graph, and simultaneously storing the dynamic value flow graph to a historical database.
In the first step, the data source comprises a manufacturing enterprise production process execution management system, an enterprise resource planning system, a warehouse logistics management system and a production process control and scheduling automation system.
In the second step, the definition method of the data information is specifically to specify basic data which are related to production and come from a production system, wherein the basic data comprise equipment model changing, starting, running, downtime, personnel number, facilities, equipment, tools, materials, consumable goods, direct operation cost, indirect operation cost, output of production equipment, process conditions, quality data files and the like; the abstraction is to establish a unified standardized format of data in a system, store production indexes such as production quantity, inventory quantity, delayed delivery and the like in a key value pair format in the system, distinguish data dimensions by keys, store values of the data by the keys, and store necessary data information such as data types, timestamps and the like in a database.
In the third step, the matching method specifically refers to establishing a data management system, establishing data storage and index by using a database, completing data acquisition of the value stream, reasonably screening and filtering historical data to form a data warehouse capable of reflecting the history of the production state, and calling from the data warehouse to acquire the historical data when the influence of the production process on time factors needs to be analyzed.
And in the fourth step, the data analysis comprises the steps of analyzing and learning the correlation in the data extraction information, determining a frequent item set by utilizing a data mining Apriori algorithm and the like, and refining a digital model of the data most relevant to the production indexes by a neural network artificial intelligence method for analyzing historical data and predicting future production so as to guide the adjustment of production.
The invention also provides a production line dynamic value flow graph generated and obtained by the method.
The production line dynamic value flow graph comprises a dynamic value flow visual editor and configuration interface, a dynamic value flow graph element and connection model, a database system and a real-time interface.
The invention also provides a production line analysis method based on the dynamic value flow graph, and the analysis method comprises data acquisition, data management, data storage and indexing, and data display and analysis.
The data acquisition refers to that direct data obtained from each data system are received and integrated into a data source in a unified manner;
the data management means that the acquired data are defined and abstracted;
the data storage and indexing means that the treated data is stored in a database and an index table is established;
and the data display and analysis means that the data obtained in the previous step is patterned and displayed in real time in a value flow graph form to form a dynamic value flow graph. And the data in the database is subjected to preset reasonable screening and filtering to form a data warehouse of a historical production process, and the data association determined by the binding of the data and event butt joint and the function is used for displaying according to the direct data obtained by the production system and the historical data of the data warehouse, so that the method can be used for calculating the historical data and analyzing the production process.
Specifically, the data acquisition refers to that direct data obtained from each data system are received and integrated into a data source in a unified manner; the data source is used for driving information data display, and the data source obtains corresponding parts of direct data from various systems and modules in the production line of the factory, such as a manufacturing enterprise production process execution management system, an enterprise resource planning system, a warehouse management system and a production process control and scheduling automation system, and the direct data is uniformly received and integrated into the data source of the system. For standardized systems, built-in data sources and event sources are provided, and may be directly adapted to acquire data, and for non-standardized systems, support needs to be extended in one form according to agreed specifications.
Specifically, the items to be specified in the data source include device name and serial number, production standard tempo, material production period, model change time, number of each batch, device utilization rate, personnel, and working time of each shift. The device name and number are identification information for the device; standard tempo is the theoretical production rate; the material production cycle refers to the time required to produce each material; the change-over time is the time consumed by the apparatus itself when it switches from producing one part to another, during which it cannot be used for any production; the number of each batch is the actual number of workpieces in each batch when produced in a batch; the equipment utilization rate is the ratio of the service time of the equipment to the theoretical production time; personnel refers to the number of workers who can actually participate in work in a shift; the working time of each shift refers to the production time of one shift specified by the factory, namely the interval between two adjacent shifts, which is generally 8 hours or 12 hours according to the common practice of the production line, and can be configured according to the arrangement of the actual factory.
The data management is to define the original data after obtaining the original data from the data source, and then abstract the data source. The method comprises the steps of firstly, specifying basic data related to production from a production system, then describing each production index by establishing data specifications and standards, obtaining data sources and signals by data abstraction, and dynamically displaying the configuration of the data sources in a value flow graph. The data sources configure the signals of the data sources into the dynamic graph by using a data mining technology, so that a data-driven real-time value flow graph analysis scheme is realized.
The data storage and index means that the data stream is stored in a data warehouse as historical data for playback of a value flow process on a time scale; the index refers to that the treated data is stored in a database and an index table is established.
The data display and analysis means that data are imaged and displayed in real time in a value flow graph form to form a dynamic value flow graph. And reasonably screening and filtering the data in the database to form a data warehouse in the historical production process, and performing value flow analysis by using the data relevance determined by the binding of the data and event butt joint and the function according to the direct data obtained by the production system and the historical data of the data warehouse.
The invention also provides a system for realizing the analysis method, which comprises a data acquisition module, a data management module, a data storage and index module and a data display and analysis module;
the data acquisition module is used for acquiring data from each system and integrating the data into a data source;
the data management module is used for defining and abstracting the acquired data;
the data storage and index module is used for storing the treated data in a database and establishing an index table;
the data display and analysis module is used for visualizing the production data, displaying the production data in a dynamic value flow graph mode and performing calculation analysis on the data.
The system further comprises a dynamic value flow graph editor, a dynamic value flow graph data source and a dynamic value flow graph dynamic real-time display graph.
The dynamic value flow graph editor is used for customizing data, element styles and connection models of the dynamic value flow by users and providing a real-time interface.
The data source of the dynamic value flow graph combines abstraction and development of data and events of the dynamic value flow graph of the actual production line, the actual production process is connected with the data and event source, and the corresponding production process is bound with the functions of the dynamic value flow graph.
The dynamic real-time display graph of the dynamic value flow graph is used for changing the value flow graph on a real-time interface along with the change of data and events, and supports data screening operation and value flow formula calculation.
The invention allows enterprises to establish own icon standards, can establish elements of a value flow graph on line, and allows data sources and event sources to be set, wherein the data sources are used for updating information areas, and the event sources are equivalent to signals and used for triggering updating. The visual connecting line can be provided with a plurality of icons and characters to express the meaning and the attribute of the connecting line.
The visualization system of the invention expresses the flow direction of the value through connecting lines and arrows; the value flow change process of the whole manufacturing production process is described by setting icons and attributes and expressing the rule, speed, limitation, mode and the like of value flow.
The beneficial effects of the invention include: the invention can flexibly monitor the business data of each link of the manufacturing industry on the dynamic value flow graph. And displaying the dynamic value flow graph through a display terminal. At this point, the dynamic cost flow graph can be used for monitoring at any time, and the process of generating the negative value flow can be determined, so that the manufacturing bottleneck can be improved directionally, and the distribution of the production line can be adjusted by adopting a method of a manager. The running state of the intelligent display terminal can be monitored in real time by adopting the dynamic value flow graph, so that the running condition of a certain production device or a certain production line is concerned, the state index can be uploaded for the intelligent display terminal independently, an alarm is set for the intelligent display terminal, and a relevant responsible person is informed.
Drawings
FIG. 1 is a graphical style for each unit in a dynamic cost flow graph of the present invention.
FIG. 2 is a flow chart of the dynamic value flow analysis method of the production line of the present invention.
FIG. 3 is a schematic diagram of a method for generating a dynamic value flow diagram of a production line according to the present invention.
FIG. 4 is an example of a use interface diagram for a production line dynamic cost flow graph in accordance with the present invention.
Detailed Description
The invention is further described in detail with reference to the following specific examples and the accompanying drawings. The procedures, conditions, experimental methods and the like for carrying out the present invention are common knowledge in the art except for the contents specifically mentioned below, and the present invention is not particularly limited.
In the description of the present invention, the consecutive reference numbers of the method steps are for convenience of examination and understanding, and the implementation order between the steps is adjusted without affecting the technical effect achieved by the technical solution of the present invention by combining the whole technical solution of the present invention and the logical relationship between the steps.
In the description of the present invention, unless otherwise explicitly defined, terms such as set, etc. should be broadly construed, and those skilled in the art can reasonably determine the specific meanings of the above terms in the present invention in combination with the detailed contents of the technical solutions.
FIG. 1 is a graphical style for each unit in a dynamic value flow graph of the present invention, used as a default style, that an enterprise can use existing graphical standards.
FIG. 2 is a flow chart of the dynamic value flow analysis method of the production line of the present invention, including data acquisition, data management, data storage and indexing, data display and analysis.
Fig. 3 is a schematic diagram of a generation method of a dynamic value flow chart of a production line according to the present invention, where the generation method includes:
step one, pulling or receiving data information from a data source;
step two, defining and abstracting the data information acquired in the step one;
step three, configuring abstracted data information, and matching the data information with corresponding signal points of the dynamic value flow graph;
and fourthly, performing data analysis on the configured data information to generate a dynamic value flow graph, and simultaneously storing the dynamic value flow graph to a historical database.
The invention also provides a display information editing unit which is used for generating the information display, editing the multimedia through the interactive interface and editing the configuration data of the display information. And displaying the dynamic value flow graph by releasing the display information.
The invention can flexibly monitor the business data of each link of the manufacturing industry on the dynamic value flow graph. And displaying the dynamic value flow graph through a display terminal. At this point, the dynamic cost flow graph can be used for monitoring at any time, and the process of generating the negative value flow can be determined, so that the manufacturing bottleneck can be improved directionally, and the distribution of the production line can be adjusted by adopting a method of a manager. The running state of the intelligent display terminal is monitored in real time by adopting a dynamic value flow graph, the running condition of a certain production device or a certain production line is wanted to be concerned, the state index can be uploaded for the intelligent display terminal independently, an alarm is set for the intelligent display terminal, and a relevant responsible person is informed.
Examples
A technical method for realizing the analysis of the dynamic value flow of a production line specifically comprises the following steps:
step 1, searching and collecting working time parameters of each production device: depending on the type of production line and the production process, the selected time parameter is closely related to the production step of the work bench. For a production facility, various behaviors are summarized into model changing, working, running and stopping, and time parameters of corresponding states are recorded. Collecting production data closely related to time parameters, including parameters such as the previous and subsequent relations of production equipment, the number of effective equipment, the reliability of a workbench and the like;
step 2, searching and collecting resources and quality data related to production: the resource and quality data are relatively complex, and for conclusion, the resource and quality data comprise personnel number, facilities, equipment, tools, materials, consumables, direct operation cost, indirect operation cost, output of production equipment, process conditions and quality data files, and the production resource data are matched with the time parameters of each step according to the actions of model changing, starting work, running and stopping in the step 1;
and 4, loading the structured data in the steps 1 to 3 into a dynamic value flow analysis system, establishing a data management system, and displaying the data directly related to production obtained by the production management system in a dynamic value flow graph form in real time along with the production.
The protection of the present invention is not limited to the above embodiments. Variations and advantages that may occur to those skilled in the art may be incorporated into the invention without departing from the spirit and scope of the inventive concept and the scope of the appended claims is intended to be protected.
Claims (10)
1. A method for generating a dynamic value flow chart of a production line is characterized by comprising the following steps:
step one, pulling or receiving data information from a data source;
step two, defining and abstracting the data information acquired in the step one;
step three, configuring abstracted data information, and matching the data information with corresponding signal points of the dynamic value flow graph;
and fourthly, performing data analysis on the configured data information to generate a dynamic value flow graph, and storing the dynamic value flow graph to a historical database.
2. The method of claim 1, wherein in step one, the data source comprises: the system comprises a manufacturing enterprise production process execution management system, an enterprise resource planning system, a warehouse logistics management system and a production process control and scheduling automation system.
3. The method of claim 1, wherein in step two, the definition method of the data information is specifically to specify basic data from the production system related to production, the basic data includes equipment model change, start, operation, downtime and personnel number, facilities, equipment, tools, materials, consumables, direct operation cost, indirect operation cost, output of the production equipment, process conditions, and quality data files; the abstraction is to establish a unified standardized format of data in a system, store production indexes in a key value format, distinguish data dimensions by keys, and store values of the data by values; the production indexes comprise production quantity, inventory quantity and delayed delivery.
4. The method according to claim 1, wherein in step three, the matching method specifically refers to establishing a data management system, establishing data storage and index by using a database, completing data acquisition of the value stream, simultaneously performing reasonable screening and filtering on historical data to form a data warehouse capable of reflecting the history of the production state, and calling and obtaining the historical data from the data warehouse when the influence of the production process on time factors needs to be analyzed.
5. The method of claim 1, wherein in step four, the data analysis includes analyzing and learning correlations in the data extraction information, determining frequent item sets using Apriori data mining algorithms, and refining the digital model of the data most relevant to the production indicator for historical data analysis and future production predictions to guide adjustments to production.
6. A production line dynamic cost flow graph generated by the method of any one of claims 1-5.
7. The production line dynamic cost flow graph of claim 6, comprising: the system comprises a dynamic value flow visual editor and configuration interface, a dynamic value flow graph element and connection model, a database system and a real-time interface.
8. A production line dynamic value flow analysis method is characterized in that the method is based on a production line dynamic value flow diagram and comprises the following steps: data acquisition, data governance, data storage and indexing, data display and analysis.
9. The analytical method of claim 8, wherein the data collection is to obtain direct data from each data system, receive and integrate the direct data into a data source;
the data management means that the acquired data are defined and abstracted;
the data storage and indexing means that the treated data is stored in a database and an index table is established;
the data display and analysis means that the treated data is patterned and displayed in real time in a value flow graph form to form a dynamic value flow graph, data in a database is reasonably screened and filtered to form a data warehouse in a historical production process, and according to direct data obtained by a production system and historical data of the data warehouse, data relevance determined by binding of data and event butt joint and functions is used for displaying, calculating historical data and analyzing the production process.
10. A system for implementing the analysis method according to claim 8 or 9, wherein the system comprises a data acquisition module, a data governance module, a data storage and indexing module, and a data display and analysis module;
the data acquisition module is used for acquiring data from each system and integrating the data into a data source;
the data management module is used for defining and abstracting the acquired data;
the data storage and index module is used for storing the treated data in a database and establishing an index table;
the data display and analysis module is used for visualizing the production data, displaying the production data in a dynamic value flow graph mode and performing calculation analysis on the data.
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