CN111652470B - Manufacturing process multi-mode data causal chain construction system and method - Google Patents
Manufacturing process multi-mode data causal chain construction system and method Download PDFInfo
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Abstract
The invention relates to a system and a method for constructing a multi-mode data causal chain in a manufacturing process, and belongs to the technical field of digital manufacturing. The method is characterized in that a product is uniquely identified by adopting an electronic tag through an integration means of an Internet of things and a multi-source heterogeneous information system, a product is taken as a core, a data model of a coverage plan, production and delivery process is established, data (including multi-dimensional information of objects such as production field products, materials, equipment and environments) in various modes and various states in the manufacturing process are associated, a causal chain of the manufacturing process data is comprehensively formed, and a data basis for integrating various data, connection sensing, decision making, simulation, control and execution of a production line is formed, so that effective support is provided for tracing of the product manufacturing process data and closed-loop management of technical states.
Description
Technical Field
The invention relates to a system and a method for constructing a multi-mode data causal chain in a manufacturing process, and belongs to the technical field of digital manufacturing.
Background
The spacecraft product has the development characteristics of multiple varieties and small batches, the phenomenon of multi-model mixed batch production commonly exists in workshop production sites, the manufacturing process information of the product is distributed in different scientific research production application systems, and the data storage mode and state have diversity and isomerism. The tracing of the manufacturing process information across a plurality of application systems mainly depends on manual retrieval and viewing, and the defects of lack of global penetrability among key information of manufacturing processes such as design, technology, materials, manufacturing execution, quality record and the like, and incapability of explicitly realizing causal chain tracking and tracing of the manufacturing process data, so that abnormal production line beat changes and the like caused by untimely judgment of manufacturing resources and process change cannot be displayed and positioned rapidly, thereby being unfavorable for accurate management and control of production lines and severely restricting the improvement of the development efficiency and the quality stability of spacecraft products. The prior art relates to the aspects of RFID-based MES manufacturing data tracking, sensor performance and data transmission on a numerical control machine in a complex manufacturing process, multi-element quality diagnosis in the manufacturing process and the like, and a global modeling method and a global modeling system for a manufacturing process data causal chain which is not stored in a centralized manner in the manufacturing process of a spacecraft product are not yet available.
Disclosure of Invention
The technical solution of the invention is that: the method is characterized in that the product is uniquely identified by adopting an electronic tag through an integrated means of an Internet of things and a multi-source heterogeneous information system, a multi-mode identification technology of real-time perception information, a product is taken as a core, a data model of a coverage plan, production and delivery processes is established, data in multiple modes and multiple states (including multi-dimensional information of objects such as production field products, materials, equipment and environment) in the production process are related, a causal chain of the production data is formed comprehensively, and a data basis integrating various data, connection perception, decision, simulation, control and execution of a production line is formed, so that effective support is provided for closed-loop management of the data and technical states of the production process.
The invention aims at realizing the following technical scheme:
the system comprises an electronic tag data management module (1), an electronic tag sensing module (2), a business activity data model modeling module (3), a manufacturing process data causal chain arrangement module (4), a business data extraction module (5), a business activity multi-mode data instance constructor (6), a manufacturing process data causal chain view module (7), a scientific research generation application system (8), equipment data acquisition (9) and environment data acquisition (10);
The electronic tag data management module (1) is used for writing and storing a data set generated by using an electronic tag to identify a real object in the manufacturing process, wherein the generated data set is named as an electronic tag data set, and the electronic tag data set comprises electronic tag basic attribute data, electronic tag resume data, binding real object data and real object resume data;
the electronic tag basic attribute data is used for managing tag self data and the relation between the tag basic attribute data and binding objects, the electronic tag basic attribute data comprises an electronic tag number, an electronic tag type, a working state (valid, in use and invalid), an enabling time, a current binding object number, an object version number, an object name and a binding starting time, the electronic tag number is a number of an index tag and can uniquely identify one electronic tag, and the electronic tag type comprises RFID, UWB and other types of electronic tags;
the electronic tag history data is used for storing the history records of all the objects bound by the tag; the electronic tag resume data comprises a tag number, a binding time, a unbinding time, a binding object number, an object version number and an object name;
The binding real object data comprises a real object number, a real object version number, a real object name and a real object type, wherein the real object number, the real object version number, the real object name and the real object type can uniquely identify a real object, the candidate value of the real object type comprises materials, tools, standard components, semi-finished products or products, if the real object type is materials, the real object version number is filled as material batch number;
the object history data are used for storing the history records of the space positions and the time which are once traversed after the object is bound with the electronic tag; the object record data comprises an object number, an object version number, an object name, a current position description (building, workshop, room and station), physical coordinates and current positioning time;
the electronic tag sensing module (2) is used for automatically acquiring electronic tag basic attribute data (stored in the electronic tag data management module (1)) in the electronic tag currently (the electronic tag of the physical object binding the electronic tag) after the physical object binding the electronic tag enters the internet of things sensing area;
The business activity data model modeling module (3) is used for storing the number of each business activity, the input of each business activity, the output of each business activity, the external environment of each business activity, the equipment data of each business activity, the control requirement of each business activity and the manufacturing key data of each business activity, and outputting the stored output result of each business activity to the manufacturing process data causal chain arrangement module (4);
the business activity input comprises material objects and production basis;
the output of the business activity comprises a product entity and product delivery data;
the external environment of the business activity comprises site name, temperature, humidity and pressure;
the equipment data of the business activities comprise equipment numbers, equipment names, equipment models, operation time length and dynamic parameter detail tables;
the control requirement of the business activity is a business activity execution parameter requirement;
the business activities are process design, production plan, material plan, manufacturing execution, inspection and detection or data packet management;
when the business activity is a process design, manufacturing key data of the process design comprise a process number, a process version number, a process name, a product number, a product version, a product name, a model code number, a stage, whether a related part is a heavy part or not, a production quantity and process specific contents, wherein the process specific contents comprise a process number, a process version number, a process sequence number and a process description content;
When the business activity is a production plan, the manufacturing key data of the production plan comprises a production plan number, a product name, a product version, a plan starting time, a plan finishing time, an actual starting time, an actual finishing time and responsibility units corresponding to each process;
when the business activity is a material plan, the manufacturing key data of the material plan comprises a material plan number, a corresponding production plan number, a material name, a specification, a size, a quantity and a material preparation completion time;
when the business activity is manufacturing execution, manufacturing key data of the manufacturing execution comprises a production execution list, a process number, process content, an implementation responsibility unit, an implementation team, an implementation responsibility person, a planned process starting time, a planned process ending time, an actual process starting time, an actual process finishing time and a finishing state;
when the business activity is inspection, the inspection and detection manufacturing key data means that inspection operation is implemented in the execution process of an inspection procedure, and an inspection data record is formed, wherein the inspection data record content comprises inspection requirements, inspection items, inspection methods or means, inspection results and implementation personnel, and the inspection data record content also comprises a key (forced) inspection point control table, a key item process control condition table and a key item process control table for the related heavy item product;
When the business activity is data packet management, the manufacturing key data of the data packet management comprises manufacturing key data of a process design, manufacturing key data of a production plan, manufacturing key data of a material plan, manufacturing key data of manufacturing execution and manufacturing key data of inspection detection, and the manufacturing key data of the data packet management also comprises data packet plan and execution condition of a data packet plan scheme;
the manufacturing process data causal chain arrangement module (4) is used for receiving the output result of each business activity of the business activity data model modeling module (3), arranging serial and parallel business activity chains according to the manufacturing process sequence according to the received output result of each business activity, and appointing different manufacturing process data causal chain contents according to the object type, wherein the data causal chain contents comprise a manufacturing process data causal chain number, an object type, a business activity number, a business activity name, a sequence number, a preface business activity number and a follow-up business activity number;
the business data extraction module (5) extracts specific examples of manufacturing key data corresponding to each business activity from the scientific research production application system (8) according to manufacturing key data of each business activity in the business activity data model modeling module (3), the business data extraction module (5) comprises two functions of an integrated interface and a data extraction view, and the integrated interface is respectively customized for a process design system, a production planning system, a manufacturing process execution system, a quality detection test system and a data packet management system in the scientific research production application system (8) to realize query condition transmission and data example query, and the data extraction view is constructed according to the manufacturing key data of each business activity of the business activity data model modeling module (3) and comprises a business system name, a database table name, a data field, a display name, a data type, a primary key, an association table name and an external key;
The business activity multi-mode data instance constructor (6) is used for dynamically constructing and managing manufacturing key data instances of the business activities related to the current real object, searching a matched manufacturing process data causal chain arrangement module (4) according to the current real object type stored in the electronic tag, obtaining a business activity number set, respectively extracting corresponding data instances from the business data extraction module (5) according to the business activity numbers in the obtained set, constructing a plurality of data instance views of the business activities which the current real object has undergone, and forming a manufacturing key data instance set;
the manufacturing process data causal chain view module (7) is used for displaying a manufacturing process key data causal chain instance query result of the current entity, and sequentially arranging manufacturing key data instances in a manufacturing key data instance set formed by the service activity multi-mode data instance constructor (6) according to the serial and parallel service activity chains arranged by the manufacturing process data causal chain arranging module (4) to obtain a manufacturing process data causal chain instance of the current entity;
the scientific research production application system (8) comprises a process design system, a material resource planning system, a manufacturing process execution system, a quality detection test system and a data packet management system;
The device data acquisition module (9) is used for acquiring the operation parameters of the numerical control machine tool device in the process of processing the real object and storing the operation parameters as a device operation data table, wherein the device operation data table comprises a real object number, a real object name, a real object version, a device number, a device model, an operation time length, a cutter number, a program number and a dynamic parameter detail table, and the dynamic parameter detail table comprises a time stamp, a parameter name and a parameter value;
the environment data acquisition module (10) is used for acquiring temperature, humidity and pressure parameters in the field environment of the processing object and storing the parameters as an environment data table, wherein the environment data table comprises environment site names, time stamps, temperature, humidity and pressure.
A method of manufacturing process multi-modal data causal chain construction, the steps of the method comprising:
(1) Using a business activity data model modeling module (3) to perform business activity model modeling according to the business activities of scientific research production;
(2) According to the service flow configuration of scientific research production, a manufacturing process data causal chain arrangement module (4) is used for arranging the output result of each service activity of each type of real object-related service activity data model modeling module (3) to form a serial and parallel service activity chain;
(3) The electronic tag data management module (1) binds the real object with the electronic tag by using a card sender;
if the electronic tag is used for the first time, creating a form of electronic tag basic attribute data, electronic tag record data, binding object data and object record data, and writing a new record;
if the electronic tag is not used for the first time, adding a new record in the electronic tag basic attribute data, the electronic tag record data, the binding object data and the object record data;
the method for adding the manufacturing process data causal chain number of the current object and the service activity number under the data causal chain of the current object in the new record comprises the following steps: according to the type of the real object, a manufacturing process data causal chain number and an initial service activity number matched with the current type of the real object are found from a serial-parallel service activity chain of a manufacturing process data causal chain arrangement module (4), and the found data causal chain number and initial service activity number are written into binding real object data;
(4) The electronic tag sensing module (2) automatically acquires basic attribute data of the electronic tag stored in the current electronic tag when the entity bound with the electronic tag enters the internet of things sensing area;
(5) Inquiring an electronic tag data set in an electronic tag data management module (1) according to an electronic tag number in the electronic tag basic attribute data to acquire a real object type of the binding real object data, a manufacturing process data causal chain number and a business activity number of the current real object of the binding real object data;
(6) According to the electronic tag data set obtained in the step (5), the entity type of the binding entity object data, the manufacturing process data causal chain number and the service activity number where the entity of the binding entity object data is currently located, a manufacturing process data causal chain arrangement module (4) is called to inquire all service activity numbers in the service activity number preamble in the current manufacturing process data causal chain to form a service activity number and sequence number set (the service activity number and sequence number set which are already completed are marked by using an inquiry condition 1) which are already completed in the manufacturing process data causal chain;
(7) The business data extraction module (5) extracts data instances of manufacturing key data corresponding to each business activity from the scientific research production application system (8) according to the manufacturing key data of each business activity in the business activity data model modeling module (3);
(8) A service activity multi-mode data instance constructor (6) searches the matched manufacturing process data causal chain arrangement module (4) according to the current entity type stored in the electronic tag, a service activity number set is obtained, corresponding data instances are respectively extracted from the service data extraction module (5) according to the service activity numbers in the obtained set, a plurality of service activity data instance views which are experienced by the current entity are constructed, and a manufacturing key data instance set is formed;
(9) Starting a device data acquisition module (9) and an environment data acquisition module (10) to generate a device running data table and an environment data table, taking the start and stop time of a current entity staying in the internet of things sensing area as a timestamp query condition, retrieving the device running data table and the environment data table, writing a data record into a service activity multi-mode data instance constructor (6), and adding the data record into the device and external environment data of the entity executing the service activity in the sensing area;
(10) The manufacturing process data causal chain view module (7) sequentially arranges manufacturing key data examples in the manufacturing key data example set formed by the service activity multi-mode data example constructor (6) according to the serial and parallel service activity chains arranged by the manufacturing process data causal chain arranging module (4) to obtain a manufacturing process data causal chain example of a current entity, and the entity completes the current service activity;
(11) And (3) after the real object completes the current business activity, executing the next business activity or entering the next Internet of things sensing area, and re-executing the steps (4) - (10) until all the business activities expected to be executed by the real object are executed.
Advantageous effects
(1) The multi-mode data instance construction in the manufacturing process provided by the invention is to upgrade the traditional association mode of manual input and establishment of coding mapping into an identification mode of automatically sensing information of the product electronic tag through the Internet of things, so as to realize automatic sensing and data pulling of the data in the manufacturing process, thereby reducing the labor participation workload of data acquisition in the manufacturing process and improving the acquisition efficiency of manufacturing key data. The manufacturing process causal chain data model modeling technology takes a product entity as a unique data source, establishes an integrated causal chain data model from different service system data in the processes of coverage planning, production and delivery by analyzing and developing the causal relationship of the data generation sequence time and input and output of each stage, and forms various data in the production process of the fused spacecraft product, thereby supporting the view of service data retrieval with different dimensions and improving the data query efficiency in the manufacturing process. The invention uses the product as a core, and makes the manufacturing key data (including product basic information, process files, production plans, manufacturing execution conditions and the like) scattered in different application systems pass through a configurable manufacturing process causal chain data model, uses the product electronic tag as a data pulling trigger source, integrates the data association in the data manufacturing process causal chain data model, changes the way of establishing the manufacturing process data association based on system solidification integration, and effectively reduces the difficulty of association and global penetration between the manufacturing key data in the Kogyo production system.
(2) The method can be used as a globally unique data source, can track and trace in the whole development process, takes the product as a core, constructs a manufacturing process data causal chain model according to the business flow, and can effectively support the association and integration of manufacturing data with different granularities in a plurality of production stages in a plurality of modes and states, thereby improving the perception and traceability of key data in the manufacturing process of the spacecraft and laying a foundation for the accurate management and control of a production line.
Drawings
FIG. 1 is a schematic diagram of a manufacturing process multi-modal data causal chain construction system;
FIG. 2 is a schematic diagram of a manufacturing process multi-modal data causal chain construction process;
FIG. 3 is a schematic diagram of a causal chain of manufacturing process data of a current entity during a process design business activity in an embodiment;
FIG. 4 is a schematic view of a causal chain of manufacturing process data of a current real object obtained in the tenth step of the embodiment;
FIG. 5 is a schematic view of a causal chain of manufacturing process data of the current real object obtained in the eleventh step of the embodiment;
FIG. 6 is a schematic view of a causal chain of manufacturing process data of a current real object obtained in the twelfth step of the embodiment.
Detailed Description
The following describes the present invention in further detail, taking the implementation of a machining process of a metal frame product of a certain model in a manufacturing plant as an example.
Examples
The system comprises an electronic tag data management module (1), an electronic tag sensing module (2), a business activity data model modeling module (3), a manufacturing process data causal chain arrangement module (4), a business data extraction module (5), a business activity multi-mode data instance constructor (6), a manufacturing process data causal chain view module (7), a scientific research generation application system (8), equipment data acquisition (9) and environment data acquisition (10). As shown in fig. 1.
The electronic tag data management module (1) is used for writing and storing a data set generated by using an electronic tag to identify a real object in the manufacturing process, wherein the generated data set is named as an electronic tag data set, and the electronic tag data set comprises electronic tag basic attribute data, electronic tag resume data, binding real object data and real object resume data;
the electronic tag basic attribute data is used for managing tag self data and the relation between the tag basic attribute data and binding objects, the electronic tag basic attribute data comprises an electronic tag number, an electronic tag type, a working state (valid, in use and invalid), an enabling time, a current binding object number, an object version number, an object name and a binding starting time, the electronic tag number is a number of an index tag and can uniquely identify one electronic tag, and the electronic tag type comprises RFID, UWB and other types of electronic tags; table 1 shows basic attribute data of an electronic tag, taking an RFID type electronic tag as an example.
Table 1 electronic tag basic attribute data
| Electronic label numbering | Electronic tag type | Operating state | Activation time | Currently binding object number | Physical version number | Object name | Physical state | Binding start time |
| WXBQ0000000 | RFID | Effective and effective | 2020.04.21 13:01 | Meatrial001 | P0001 | Aluminum alloy material | Material | 2020.03.01 9:25 |
| WXBQ0000001 | RFID | Effective and effective | 2020.04.21 13:01 | XXX-0-20-01 | A.1 | Aluminum alloy transition frame | Finished product | 2020.04.21 13:03 |
| WXBQ0000002 | RFID | Effective and effective | 2020.04.21 13:01 | XXX-0-20-02 | A.1 | Camera support | Finished product | 2020.04.21 13:03 |
The electronic tag history data is used for storing the history records of all the objects bound by the tag; the electronic tag resume data comprises a tag number, a binding time, a unbinding time, a binding object number, an object version number and an object name; the electronic tag history data of the electronic tag with the tag number WXBQ0000001 is table 2.
Table 2 electronic tag history data
| Electronic label numbering | Binding time | Unbinding time | Binding object number | Physical version number | Object name | Type of object |
| WXBQ0000001 | 2020.02.10 16:40 | 2020.02.12 17:30 | YYY-0-32-12 | B.1 | Frame (B) | Finished product |
| WXBQ0000001 | 2020.04.21 13:03 | XXX-0-20-01 | A.1 | Aluminum alloy transition frame | Finished product |
The binding real object data comprises a real object number, a real object version number, a real object name and a real object type, wherein the real object number, the real object version number, the real object name and the real object type can uniquely identify a real object, the candidate value of the real object type comprises materials, tools, standard components, semi-finished products or products, if the real object type is materials, the real object version number is filled as material batch number;
TABLE 3 binding of physical object data
The object history data are used for storing the history records of the space positions and the time which are once traversed after the object is bound with the electronic tag; the object record data comprises an object number, an object version number, an object name, a current position description (building, workshop, room and station), physical coordinates and current positioning time; the object history data of the material bound by the electronic tag WXBQ0000000 is shown in table 4.
TABLE 4 physical location history data Table
| Electronic label numbering | Object number | Real object version | Object name | Record serial number | Current position | Physical coordinates | Current positioning time |
| WXBQ0000000 | Meatrial001 | P0001 | Material | 1 | Storehouse (warehouse) | (100,200,150) | 20200301 9:30 |
The electronic tag perception module (2) is used for automatically acquiring electronic tag basic attribute data (stored in the electronic tag data management module (1)) in the current electronic tag (the electronic tag of the physical object binding the electronic tag) after the physical object binding the electronic tag WXBQ0000000 goes out of a warehouse and enters a line-side database internet-of-things perception area of a numerical control workshop; at this time, the physical location history data table in the electronic tag basic attribute data is newly recorded as shown in table 5.
TABLE 5 physical location history data table
| Electronic label numbering | Object number | Real object version | Object name | Record serial number | Current position | Physical coordinates | Current positioning time |
| WXBQ0000000 | Meatrial001 | P0001 | Material | 1 | Storehouse (warehouse) | (100,200,150) | 20200301 9:30 |
| WXBQ0000000 | Meatrial001 | P0001 | Material | 2 | Numerical control workshop wire Bian Ku | (160,400,150) | 20200301 9:40 |
The business activity data model modeling module (3) is used for storing the number of each business activity, the input of each business activity, the output of each business activity, the external environment of each business activity, the equipment data of each business activity, the control requirement of each business activity and the manufacturing key data of each business activity, and outputting the stored output result of each business activity to the manufacturing process data causal chain arrangement module (4);
the business activity input comprises material objects and production basis;
the output of the business activity comprises a product entity and product delivery data;
the external environment of the business activity comprises site name, temperature, humidity and pressure;
the equipment data of the business activities comprise equipment numbers, equipment names, equipment models, operation time length and dynamic parameter detail tables;
the control requirement of the business activity is a business activity execution parameter requirement;
the business activities are process design, production plan, material plan, manufacturing execution, inspection and detection or data packet management;
When the business activity is a process design, manufacturing key data of the process design comprise a process number, a process version number, a process name, a product number, a product version, a product name, a model code number, a stage, whether a related part is a heavy part or not, a production quantity and process specific contents, wherein the process specific contents comprise a process number, a process version number, a process sequence number and a process description content;
when the business activity is a production plan, the manufacturing key data of the production plan comprises a production plan number, a product name, a product version, a plan starting time, a plan finishing time, an actual starting time, an actual finishing time and responsibility units corresponding to each process;
when the business activity is a material plan, the manufacturing key data of the material plan comprises a material plan number, a corresponding production plan number, a material name, a specification, a size, a quantity and a material preparation completion time;
when the business activity is manufacturing execution, manufacturing key data of the manufacturing execution comprises a production execution list, a process number, process content, an implementation responsibility unit, an implementation team, an implementation responsibility person, a planned process starting time, a planned process ending time, an actual process starting time, an actual process finishing time and a finishing state;
When the business activity is inspection, the inspection and detection manufacturing key data means that inspection operation is implemented in the execution process of an inspection procedure, and an inspection data record is formed, wherein the inspection data record content comprises inspection requirements, inspection items, inspection methods or means, inspection results and implementation personnel, and the inspection data record content also comprises a key (forced) inspection point control table, a key item process control condition table and a key item process control table for the related heavy item product;
when the business activity is data packet management, the manufacturing key data of the data packet management comprises manufacturing key data of a process design, manufacturing key data of a production plan, manufacturing key data of a material plan, manufacturing key data of manufacturing execution and manufacturing key data of inspection detection, and the manufacturing key data of the data packet management also comprises data packet plan and execution condition of a data packet plan scheme;
the output result of the business activity data model modeling module (3) is given in table 6 by taking the example of making a material plan, material delivery, material distribution, material receiving, process design, process approval and process release business activity.
TABLE 6 Business Activity data model
The manufacturing process data causal chain arrangement module (4) is used for receiving the output result of each business activity of the business activity data model modeling module (3), arranging serial and parallel business activity chains according to the manufacturing process sequence according to the received output result of each business activity, and appointing different manufacturing process data causal chain contents according to the object type, wherein the data causal chain contents comprise a manufacturing process data causal chain number, an object type, a business activity number, a business activity name, a sequence number, a preface business activity number and a follow-up business activity number;
TABLE 7 manufacturing process data causal chain model
The business data extraction module (5) extracts specific examples of manufacturing key data corresponding to each business activity from the scientific research production application system (8) according to manufacturing key data of each business activity in the business activity data model modeling module (3), the business data extraction module (5) comprises two functions of an integrated interface and a data extraction view, and the integrated interface is customized for a process design system, a production planning system, a manufacturing process execution system, a quality detection test system and a data packet management system in the scientific research production application system (8) respectively to realize query condition transmission and data example query. The data extraction view is constructed according to manufacturing key data of each business activity of the business activity data model modeling module (3), and the data extraction view comprises a business system name, a database table name, a data field, a display name, a data type, a main key, an association table name and an external key. Taking two business activities of material delivery and process design as examples, the data extraction view of material delivery is shown in table 8, and the data extraction view of process design is shown in table 9.
Table 8 data extraction View corresponding to Material ex warehouse business Activity
| Numbering of business activities | Business system name | Database table names | Data field | Displaying names | Data type | Main key | Association table name | External key |
| Action-material2 | Production planning system | ERPTable1 | MetiralID | Material numbering | string | PK | ERPTable2 | |
| Action-material2 | Production planning system | ERPTable1 | MetiralName | Material name | string | PK | ||
| Action-material2 | Production planning system | ERPTable1 | MetiralPCH | Batch number of materials | string | PK | ||
| Action-material2 | Production planning system | ERPTable1 | MetiralCount | Quantity of delivery | string | |||
| Action-material2 | Production planning system | ERPTable1 | MetiralNeedNum | Demand quantity | string | |||
| Action-material2 | Production planning system | ERPTable1 | SendingID | Delivery sheet number | string | WK | ||
| Action-material2 | Production planning system | ERPTable1 | OutState | Ex-warehouse status | string |
Table 9 data extraction views corresponding to "Process design" Business activity
| Numbering of business activities | Business system name | Database table names | Data field | Displaying names | Data type | Main key | Association table name | External key |
| Action-Process1 | Process design system | ProcessTable1 | ProcessID | Process numbering | string | PK | ProductInfomation | |
| Action-Process1 | Process design system | ProcessTable1 | ProcessName | Process name | string | |||
| Action-Process1 | Process design system | ProcessTable1 | ProcessNumber | Art version number | string | PK | ||
| Action-Process1 | Process design system | ProcessTable1 | ProductID | Product numbering | string | WK | ||
| Action-Process1 | Process design system | ProcessTable1 | ProductNumber | Product version | string | WK | ||
| Action-Process1 | Process design system | ProcessTable1 | ProductName | Product name | string | |||
| Action-Process1 | Process design system | ProcessTable1 | ProjectID | Product model | string | |||
| Action-Process1 | Process design system | ProcessTable1 | ProjectStage | Stage(s) | string |
The business activity multi-mode data instance constructor (6) is used for dynamically constructing and managing manufacturing key data instances of the related business activities of the current entity, according to the fact that the type of the current entity stored in the electronic tag WXBQ0000000 is a material, the product number is XXX-0-20-01, the product version is A.1, the product name is an aluminum alloy transition frame, a matched manufacturing Process data causal chain arrangement module (4) is searched, a material plan-out library-receiving Process design-approval-issuing service activity number set in two manufacturing Process data causal chains is obtained, according to the data extraction view 8 and table 9 in the obtained set, a plurality of business activity data instance forming key data instance 14 which have been experienced at present are formed according to the data extraction view 8 and table 9 in the obtained module of the product name of the aluminum alloy transition frame, and according to the business activity numbers of the obtained set, the Action-material2, the Action-material3, the Action-material4, the Action-Process2 and the Action-Process3 respectively, and the key data instance 14 are formed as shown in the manufacturing data instance.
Table 10 data extraction results corresponding to Material ex warehouse business Activity
| Material numbering | Batch number of materials | Material name | Quantity of delivery | Demand quantity | Delivery sheet number | Ex-warehouse status |
| Meatrial001 | P0001 | Aluminum alloy material | 1 | 1 | PS20200301001 | Has been taken out of warehouse |
Table 11 data extraction results corresponding to Material delivery business Activity
| Delivery sheet number | Dispensing person | Material numbering | Batch number of materials | Material name | Dispensing quantity | Destination(s) |
| PS20200301001 | Zhang San | Meatrial001 | P0001 | Aluminum alloy material | 1 | Numerical control workshop |
Table 12 data extraction results for "Material reception" business activity
| Delivery sheet number | Dispensing person | Material numbering | Batch number of materials | Material name | Dispensing quantity | Destination(s) | Recipient person | Reception time |
| PS20200301001 | Zhang San | Meatrial001 | P0001 | Aluminum alloy material | 1 | Numerical control workshop | Li Si | 202003018:30 |
TABLE 13 data extraction results for "Process design" business activity
| Process numbering | Process version number | Process name | Product numbering | Product version | Product name | Model code | Stage(s) | Guan Chongjian or not | Production quantity |
| GY2020030100012 | A | Frame machine processing technology | XXX-0-20-01 | A.1 | Aluminum alloy transition frame | XXX | C | Whether or not | 1 |
Table 14 process details sub-table
| Process numbering | Step number | Process version number | Sequence number of working procedure | Name of procedure | Description of the procedure |
| GY2020030100012 | GX0001 | A | 1 | Material | Preparation of XX-sized aluminum alloy frame |
| GY2020030100012 | GX0002 | A | 2 | Vehicle with a frame | Running operation XXX for frame edge |
| GY2020030100012 | GX0003 | A | 3 | Milling machine | XXXXXXXXXX |
The manufacturing process data causal chain view module (7) is used for displaying a manufacturing process key data causal chain instance query result of a current entity (the electronic tag number is WXBQ0000000, the entity type is a material, the product number is XXX-0-20-01, the product version is A.1, and the product name is an aluminum alloy transition frame), and sequentially arranging manufacturing key data instances in a manufacturing key data instance set formed by the business activity multi-mode data instance constructor (6) according to a serial and parallel business activity chain arranged by the manufacturing process data causal chain arranging module (4) to obtain a manufacturing process data causal chain instance of the current entity in process design business activity, as shown in fig. 3;
The scientific research production application system (8) comprises a process design system, a production planning system, a manufacturing process execution system, a quality detection test system and a data packet management system.
The equipment data acquisition module (9) is used for acquiring the operation parameters of the numerical control machine tool equipment in the process of processing the real objects, and storing the operation parameters as an equipment operation data table, wherein the equipment operation data table comprises the real object number, the real object name, the real object version, the equipment number, the equipment model, the operation time length, the cutter number, the program number and the dynamic parameter detail table. The dynamic parameter detail table comprises a time stamp, a parameter name and a parameter value.
Table 15 device operation data table
| Object number | Object name | Real object version | Device numbering | Device model | Duration of operation | Cutter numbering | Program numbering | Dynamic parameter detail table |
| Meatrial001 | Aluminum alloy material | P0001 | JC0001 | De Marji 840D | 35min | DJ8302 | 1002 | parameter1 |
Dynamic parameter detail table
| Dynamic parameter detail table | Time stamp | Parameter name | Parameter value |
| parameter1 | 20200330 14:32 | Coordinate position | -411.6 |
| parameter1 | 20200330 14:32 | Actual value of speed | 1000 |
| parameter1 | 20200330 14:32 | Effective coordinate position | -660.6 |
| parameter1 | 20200330 14:32 | Actual value of rotational speed | 2000.3 |
| parameter1 | 20200330 14:32 | Rotational speedIs set at a set value of (2) | 2000 |
| parameter1 | 20200330 14:32 | Multiplying power of rotating speed | 100 |
| parameter1 | 20200330 14:32 | Z vibration signal | 0.00048 |
| parameter1 | 20200330 14:32 | Y vibration signal | 0.00207 |
| parameter1 | 20200330 14:32 | X vibration signal | 0.00244 |
The environment data acquisition module (10) is used for acquiring temperature, humidity and pressure parameters in the field environment of the processing object and storing the parameters as an environment data table comprising environment site names, time stamps, temperature, humidity and pressure.
Table 16 environmental data table
| Environmental site name | Time stamp | Temperature (temperature) | Humidity of the water | Atmospheric pressure |
| Storehouse (warehouse) | 20200330 14:32 | 10 degrees | 15％rh | 101kPa |
| Factory floor | 20200330 14:32 | 10 degrees | 15％rh | 101kPa |
| Line Bian Ku | 20200330 14:32 | 22 degrees | 15％rh | 101kPa |
| Process chamber | 20200330 14:32 | 23 degrees | 15％rh | 101kPa |
| Numerical control workshop | 20200330 14:32 | 23 degrees | 15％rh | 101kPa |
As shown in fig. 2, a method for constructing a multi-modal data causal link in a manufacturing process, the method comprising the steps of:
firstly, carrying out business activity model modeling by using a business activity data model modeling module (3) according to business activities of scientific research production; specifically, a modeling example of the process design business activity and the material delivery of a metal frame is shown in table 17.
Table 17 business activity data model
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Secondly, according to the service flow configuration of scientific research production, arranging the output result (such as a table 17) of each service activity of each type of real object-related service activity data model modeling module (3) into a serial and parallel service activity chain by using a manufacturing process data causal chain arranging module (4) according to the real object type;
table 18 manufacturing process data causal chain model
| Manufacturing process data causal chain model | Manufacturing process data causal chain numbering | Type of object | Business activity numbering | Business activity name | Sequence number | Preamble traffic activity numbering | Subsequent business activity numbering |
| Material planning>Delivery-from-warehouse >Reception of | MDL0001 | Material | Action-material1 | Material planning | 1 | Start1 | Action-material2 |
| Material planning>Delivery-from-warehouse>Reception of | MDL0001 | Material | Action-material2 | Material warehouse-out | 2 | Action-material1 | Action-material3 |
| Material planning>Delivery-from-warehouse>Reception of | MDL0001 | Material | Action-material3 | Material distribution | 3 | Action-material2 | Action-material4 |
| Material planning>Delivery-from-warehouse>Reception of | MDL0001 | Material | Action-material4 | Material receiving | 4 | Action-material3 | End1 |
| Process design->Approval-room>Publishing | Process0001 | Material | Action-Process1 | Process design | 5 | End1 | Action-Process2 |
| Process design->Approval-room>Publishing | Process0001 | Material | Action-Process2 | Process approval | 6 | Action-Process1 | Action-Process3 |
| Process design->Approval-room>Publishing | Process0001 | Material | Action-Process3 | Process release | 7 | Action-Process2 | End2 |
Thirdly, when the material type real object ex-warehouse business activity is executed, the electronic tag data management module (1) binds the real object with the electronic tag by using a card sender;
if the electronic tag is used for the first time, creating a form of electronic tag basic attribute data, electronic tag history data, binding object data and object history data, and writing a new record, as shown in table 19.
Table 19 electronic tag basic attribute data
| Electronic label numbering | Electronic tag type | Operating state | Activation time | Currently binding object number | Physical version number | Object name | Physical state | Binding start time |
| WXBQ0000000 | RFID | Effective and effective | 2020.04.21 13:01 | Meatrial001 | P0001 | Aluminum alloy material | Material | 2020.03.01 9:25 |
If the electronic tag is not used for the first time, adding a new record in the electronic tag basic attribute data, the electronic tag record data, the binding object data and the object record data;
The method for adding the manufacturing process data causal chain number of the current object and the service activity number under the data causal chain of the current object in the new record comprises the following steps: according to the type of the real object, a manufacturing process data causal chain number MDL001 and an initial service activity number Action-material2 which are matched with the current type of the real object are found from a serial-parallel service activity chain MDL001 of a manufacturing process data causal chain arrangement module (4), and the found data causal chain number and the initial service activity number are written into binding real object data;
table 20 electronic tag basic attribute data
| Electronic label numbering | Electronic tag type | Operating state | Activation time | Currently binding object number | Physical version number | Object name | Physical state | Binding start time |
| WXBQ0000000 | RFID | Effective and effective | 2020.03.01 9:25 | Meatrial001 | P0001 | Aluminum alloy material | Material | 2020.03.01 9:25 |
Table 21 electronic tag history data
| Electronic label numbering | Binding time | Unbinding time | Binding object number | Physical version number | Object name | Type of object |
| WXBQ0000000 | 2020.03.01 9:25 | Meatrial001 | P0001 | Aluminum alloy material | Material |
Table 22 binding object data
Table 23 physical location history data table
| Electronic label numbering | Object number | Real object version | Object name | Record serial number | Current position | Physical coordinates | Current positioning time |
| WXBQ0000000 | Meatrial001 | P0001 | Material | 1 | Storehouse (warehouse) | (100,200,150) | 20200301 9:30 |
Fourth, the entity of the electronic tag is already bound, when entering the sensing area of the internet of things, the electronic tag sensing module (2) automatically acquires the basic attribute data of the electronic tag stored in the current electronic tag, such as a table 20;
fifthly, inquiring an electronic tag data set in an electronic tag data management module (1) according to an electronic tag number WXBQ0000000 in electronic tag basic attribute data, wherein the type of a real object binding object is a material, and the number of a manufacturing process data causal chain where the real object binding object is currently positioned is MDL0001 and the number of a business activity is Action-material2;
step six, according to the electronic tag data set, the binding object data, the object type, the electronic tag data set, the binding object data, the manufacturing process data causal chain number and the service activity number of the current object, the manufacturing process data causal chain arrangement module (4) is called to inquire all the service activity numbers of Action-material1 and Action-material2 in the service activity number preamble of the current manufacturing process data causal chain, and the service activity number of which the manufacturing process data causal chain is finished is Action-material1 and sequence number 1, and the service activity number is Action-material2 and sequence number 2. (the already completed business activity number and sequence number set are marked with query condition 1);
Seventh, the business data extraction module (5) extracts the data instance of the manufacturing key data corresponding to each business activity from the scientific research production application system (8) according to the manufacturing key data of the two business activities, namely the material plan and the material ex-warehouse in the business activity data model modeling module (3);
table 24 data extraction results corresponding to Material planning business Activity
| Material plan number | Corresponding production plan number | Material numbering | Batch number of materials | Material name | Demand quantity | Quantity of stock | Size of the device | Specification of specification | Preparation completion time |
| MeatrialPlan001 | Plan0001 | Meatrial001 | P0001 | Aluminum alloy material | 1 | 1 | Aluminum alloy | 20200218 |
Table 25 data extraction results for "material out of stock" business activity
Eighth step, the multi-mode data instance constructor of business activity (6) searches the matched manufacturing process data causal chain arrangement module (4) according to the current material type stored in the electronic tag as 'material', obtains a business activity number set, and according to the business activity numbers of Action-material1 and Action-material2 in the obtained set; respectively extracting corresponding data examples from the service data extraction module (5), and constructing a plurality of service activity data example views which are experienced by the current real object to form a manufacturing key data example set; an example of manufacturing critical data for Material planning Business Activity-Material 1 in manufacturing Process data causal chain MDL0001 is Table 26
An example of manufacturing critical data for Material Exit Business Activity, material2, in manufacturing Process data causal chain MDL0001 is Table 27
| Material numbering | Batch number of materials | Material name | Quantity of delivery | Demand quantity | Delivery sheet number | Ex-warehouse status |
| Meatrial001 | P0001 | Aluminum alloy material | 1 | 1 | PS20200301001 | Has been taken out of warehouse |
And ninth, starting a device data acquisition module (9) and an environment data acquisition module (10) to generate a device operation data table and an environment data table. The method comprises the steps of taking the start and stop time of the current physical object staying in the sensing area of the internet of things as a time stamp query condition, searching a running data table and an environment data table of equipment, writing a data record into a multi-mode data instance constructor (6) of the business activity, and adding the data record into the equipment and external environment data of the physical object executing the business activity in the sensing area. The current material planning, material delivery business activities do not involve equipment operation data tables, only environmental data tables such as table 28 are formed.
Table 28 environmental data table
| Environmental site name | Time stamp | Temperature (temperature) | Humidity of the water | Atmospheric pressure |
| Storehouse (warehouse) | 20200301 9:32 | 10 degrees | 15％rh | 101kPa |
Tenth, the manufacturing process data causal chain view module (7) sequentially organizes manufacturing key data examples (such as a table 26 and a table 27) in the manufacturing key data example set formed by the service activity multi-mode data example constructor (6) according to the serial and parallel service activity chain organized by the manufacturing process data causal chain organizing module (4) to obtain a manufacturing process data causal chain example of the current entity, and the entity completes the current service activity as shown in fig. 4;
And eleventh step, after the real object completes the current business activity, executing the next business activity material distribution, entering a distribution active animal union sensing area, and obtaining a manufacturing process data causal chain example of the current real object as shown in fig. 5.
Twelfth, after the current business activity is completed by the real object, the next business activity material receiving, process design, process approval, process release and manufacturing execution are sequentially executed, and a manufacturing process data causal chain example of the current real object when the business activity is executed in production is obtained in an accumulated mode, wherein the manufacturing process data causal chain example is shown in tables 29-36, a manufacturing process data causal chain view is shown in fig. 6, and an equipment operation data table is described in fig. 6.
The business activity number in the manufacturing process data causal chain MDL0001 is Action-material1 and the business activity name is the manufacturing key data for the materials plan is table 29.
Table 29 production Key data example of Material plan
| Material plan number | Corresponding production plan number | Material numbering | Batch number of materials | Material name | Demand quantity | Quantity of stock | Size of the device | Specification of specification | Preparation completion time |
| MeatrialPlan001 | Plan0001 | Meatrial001 | P0001 | Aluminum alloy material | 1 | 1 | Aluminum alloy | 20200218 |
The business activity number in the manufacturing process data causal chain MDL0001 is Action-material2, and the business activity name is the manufacturing key data of the material outlet is table 30.
Table 30 manufacturing critical data instance for material shipment
| Material numbering | MaterialBatch number | Material name | Quantity of delivery | Demand quantity | Delivery sheet number | Ex-warehouse status |
| Meatrial001 | P0001 | Aluminum alloy material | 1 | 1 | PS20200301001 | Has been taken out of warehouse |
The business activity number in the manufacturing process data causal chain MDL0001 is Action-material3 and the business activity name is the manufacturing key data of the material distribution is table 31.
Table 31 example of manufacturing critical data for material delivery
| Delivery sheet number | Dispensing person | Material numbering | Batch number of materials | Material name | Dispensing quantity | Destination(s) |
| PS20200301001 | Zhang San | Meatrial001 | P0001 | Aluminum alloy material | 1 | Numerical control workshop |
The business activity number in the manufacturing process data cause and effect chain MDL0001 is Action-material4, and the business activity name is the manufacturing key data for material reception is table 32.
Table 32 manufacturing critical data instance for material reception
| Delivery sheet number | Dispensing person | Material numbering | Batch number of materials | Material name | Dispensing quantity | Destination(s) | Recipient person | Reception time |
| PS20200301001 | Zhang San | Meatrial001 | P0001 | Aluminum alloy material | 1 | Numerical control workshop | Li Si | 202003018:30 |
The business activity number in the manufacturing Process data causal link Process0001 is Action-Process1, and the business activity name is the manufacturing key data of the Process design is table 33.
Table 33 manufacturing critical data examples for process design
| Process numbering | Process version number | Process name | Product numbering | Product version | Product name | Model code | Stage(s) | Guan Chongjian or not | Production quantity |
| GY2020030100012 | A | Frame machine processing technology | XXX-0-20-01 | A.1 | Aluminum alloy transition frame | XXX | C | Whether or not | 1 |
Description of the procedure
The manufacturing key data for the business activity number Action-Process2, business activity name Process approval in the manufacturing Process data causal chain Process0001 is table 34.
Table 34 manufacturing critical data instance for process approval
| Process numbering | Approval link | Approval person | Approval time | Approval status |
| GY2020030100012 | Submission | Zhang Xiaoming | 20200302 18:30 | By passing through |
| GY2020030100012 | Proofreading | Li Yaodong | 20200302 18:40 | By passing through |
| GY2020030100012 | Approval of | Zhang Peng | 20200302 18:50 | By passing through |
The business activity number in the manufacturing Process data causal link Process0001 is Action-Process3, and the business activity name is the manufacturing key data published by the Process is table 35.
Table 35 Process published manufacturing Key data instance
| Process numbering | Issue address | Device name | Approval time | Publication status |
| GY2020030100012 | Numerical control workshop | Demar 308D | 20200302 18:50 | Successful release |
Manufacturing process data manufacturing critical data for the manufacturing production of Action-Do1 in causal chain production 0001 is Table 36.
Table 36 manufacturing execution of manufacturing critical data instances
And thirteenth, after the entity completes the current business activity, executing the next business activity or entering the next Internet of things sensing area until all the business activities expected to be executed by the entity are executed.
Claims (10)
1. A manufacturing process multi-modal data causal chain construction system, characterized by: the system comprises an electronic tag data management module (1), an electronic tag perception module (2), a business activity data model modeling module (3), a manufacturing process data causal chain arrangement module (4), a business data extraction module (5), a business activity multi-mode data instance constructor (6), a manufacturing process data causal chain view module (7), a scientific research generation application system (8), equipment data acquisition (9) and environment data acquisition (10);
the electronic tag data management module (1) is used for writing and storing a data set generated by using an electronic tag to identify a real object in the manufacturing process, wherein the generated data set is named as an electronic tag data set, and the electronic tag data set comprises electronic tag basic attribute data, electronic tag resume data, binding real object data and real object resume data;
the electronic tag sensing module (2) is used for automatically acquiring basic attribute data of the electronic tag in the current electronic tag after the physical object bound with the electronic tag enters the Internet of things sensing area;
the business activity data model modeling module (3) is used for storing the number of each business activity, the input of each business activity, the output of each business activity, the external environment of each business activity, the equipment data of each business activity, the control requirement of each business activity and the manufacturing key data of each business activity, and outputting the stored output result of each business activity to the manufacturing process data causal chain arrangement module (4);
The manufacturing process data causal chain arrangement module (4) is used for receiving the output result of each business activity of the business activity data model modeling module (3), arranging serial and parallel business activity chains according to the received output result of each business activity and the manufacturing process sequence, and formulating different manufacturing process data causal chain contents according to the object type, wherein the data causal chain contents comprise a manufacturing process data causal chain number, an object type, a business activity number, a business activity name, a sequence number, a preface business activity number and a follow-up business activity number;
the business data extraction module (5) extracts specific examples of the manufacturing key data corresponding to each business activity from the scientific research production application system (8) according to the manufacturing key data of each business activity in the business activity data model modeling module (3);
the business activity multi-mode data instance constructor (6) is used for dynamically constructing and managing manufacturing key data instances of the business activities related to the current real object, searching a matched manufacturing process data causal chain arrangement module (4) according to the current real object type stored in the electronic tag, obtaining a business activity number set, respectively extracting corresponding data instances from the business data extraction module (5) according to the business activity numbers in the obtained set, constructing a plurality of data instance views of the business activities which the current real object has undergone, and forming a manufacturing key data instance set;
The manufacturing process data causal chain view module (7) is used for displaying a manufacturing process key data causal chain instance query result of the current entity, and sequentially arranging manufacturing key data instances in a manufacturing key data instance set formed by the service activity multi-mode data instance constructor (6) according to the serial and parallel service activity chains arranged by the manufacturing process data causal chain arranging module (4) to obtain a manufacturing process data causal chain instance of the current entity;
the device data acquisition module (9) is used for acquiring the operation parameters of the numerical control machine tool device in the process of processing the real object and storing the operation parameters as a device operation data table, wherein the device operation data table comprises a real object number, a real object name, a real object version, a device number, a device model, an operation time length, a cutter number, a program number and a dynamic parameter detail table, and the dynamic parameter detail table comprises a time stamp, a parameter name and a parameter value;
the environment data acquisition module (10) is used for acquiring temperature, humidity and pressure parameters in the field environment of the processing object and storing the parameters as an environment data table, wherein the environment data table comprises environment site names, time stamps, temperature, humidity and pressure.
2. A manufacturing process multi-modal data causal link construction system in accordance with claim 1, wherein: the electronic tag data management module (1) is used for managing tag self data and the relation between the tag data and a binding object, wherein the electronic tag basic attribute data comprises an electronic tag number, an electronic tag type, a working state, an enabling time, a current binding object number, an object version number, an object name and a binding starting time;
The electronic tag history data in the electronic tag data management module (1) is used for storing the history records of all objects bound by the tag; the electronic tag resume data comprises a tag number, a binding time, a unbinding time, a binding object number, an object version number and an object name.
3. A manufacturing process multi-modal data causal link construction system in accordance with claim 1, wherein: the binding real object data in the electronic tag data management module (1) comprises a real object number, a real object version number, a real object name and a real object type, wherein the real object is currently located in a manufacturing process data causal chain number and the real object is currently located in a service activity number under the data causal chain.
4. A manufacturing process multi-modal data causal link construction system in accordance with claim 1, wherein: the object history data in the electronic tag data management module (1) is used for storing the history record of the space position and time which are once experienced after the electronic tag is bound; the object record data comprises an object number, an object version number, an object name, a current position description, a physical coordinate and a current positioning time.
5. A manufacturing process multi-modal data causal link construction system in accordance with claim 1, wherein: the business activity data model modeling module (3) inputs business activities including material objects and production basis;
the output of the business activity comprises a product entity and product delivery data;
the external environment of the business activity comprises site name, temperature, humidity and pressure;
the equipment data of the business activities comprise equipment numbers, equipment names, equipment models, operation time length and dynamic parameter detail tables;
the control requirement of the business activity is a business activity execution parameter requirement;
the business activities are process design, production planning, material planning, manufacturing execution, inspection and detection, or data packet management.
6. A manufacturing process multi-modal data causal link construction system in accordance with claim 1, wherein: when the business activity is a process design, manufacturing key data of the process design comprise a process number, a process version number, a process name, a product number, a product version, a product name, a model code number, a stage, whether a related part is a heavy part or not, a production quantity and process specific contents, wherein the process specific contents comprise a process number, a process version number, a process sequence number and a process description content;
When the business activity is a production plan, the manufacturing key data of the production plan comprises a production plan number, a product name, a product version, a plan starting time, a plan finishing time, an actual starting time, an actual finishing time and responsibility units corresponding to each process;
when the business activity is a material plan, the manufacturing key data of the material plan comprises a material plan number, a corresponding production plan number, a material name, a specification, a size, a quantity and a material preparation completion time;
when the business activity is manufacturing execution, manufacturing key data of the manufacturing execution comprises a production execution list, a process number, process content, an implementation responsibility unit, an implementation team, an implementation responsibility person, a planned process starting time, a planned process ending time, an actual process starting time, an actual process finishing time and a finishing state;
when the business activity is checking, checking and detecting manufacturing key data means that checking operation is implemented in the checking procedure executing process, and a checking data record is formed, wherein the checking data record content comprises checking requirements, checking items, checking methods or means, checking results and implementation personnel, and the checking data record content also comprises a key forced checking point control table, a key item process control condition table and a key item process control table for the related heavy item product;
When the business activity is packet management, the packet management manufacturing critical data includes manufacturing critical data of a process design, manufacturing critical data of a production plan, manufacturing critical data of a material plan, manufacturing critical data of a manufacturing execution and manufacturing critical data of inspection detection, and the packet management manufacturing critical data further includes a packet plan and a packet plan execution condition.
7. The manufacturing process multi-modal data causal link construction system as recited in claim, wherein: the business data extraction module (5) comprises a data extraction view, wherein the data extraction view is constructed according to manufacturing key data of each business activity of the business activity data model modeling module (3), and the data extraction view comprises a business system name, a database table name, a data field, a display name, a data type, a primary key, an association table name and an external key.
8. A method for constructing a multi-modal data causal chain in a manufacturing process, the method comprising the steps of:
1) Using a business activity data model modeling module (3) to perform business activity model modeling according to the business activities of scientific research production;
2) According to the service flow configuration of scientific research production, a manufacturing process data causal chain arrangement module (4) is used for arranging the output result of each service activity of each type of real object-related service activity data model modeling module (3) to form a serial and parallel service activity chain;
3) The electronic tag data management module (1) binds the real object with the electronic tag by using a card sender;
4) The electronic tag sensing module (2) automatically acquires basic attribute data of the electronic tag stored in the current electronic tag when the entity bound with the electronic tag enters the internet of things sensing area;
5) Inquiring an electronic tag data set in an electronic tag data management module (1) according to an electronic tag number in the electronic tag basic attribute data to obtain the electronic tag data set, the binding object data, the object type, the electronic tag data set, the binding object data, and the manufacturing process data causal chain number and the business activity number of the current object;
6) According to the electronic tag data set, the binding object data, the object type, the electronic tag data set, the binding object data, the manufacturing process data causal chain number and the service activity number of the object at present, which are obtained in the step 5), a manufacturing process data causal chain arrangement module (4) is called to inquire all service activity numbers of the service activity number preamble in the current manufacturing process data causal chain, so as to form a service activity number and sequence number set which are already finished in the manufacturing process data causal chain, and the service activity number and sequence number set which are already finished are marked by using an inquiry condition 1;
7) The business data extraction module (5) extracts data instances of manufacturing key data corresponding to each business activity from the scientific research production application system (8) according to the manufacturing key data of each business activity in the business activity data model modeling module (3);
8) A service activity multi-mode data instance constructor (6) searches the matched manufacturing process data causal chain arrangement module (4) according to the current entity type stored in the electronic tag, a service activity number set is obtained, corresponding data instances are respectively extracted from the service data extraction module (5) according to the service activity numbers in the obtained set, a plurality of service activity data instance views which are experienced by the current entity are constructed, and a manufacturing key data instance set is formed;
9) Starting a device data acquisition module (9) and an environment data acquisition module (10) to generate a device running data table and an environment data table, taking the start and stop time of a current entity staying in the internet of things sensing area as a timestamp query condition, retrieving the device running data table and the environment data table, writing a data record into a service activity multi-mode data instance constructor (6), and adding the data record into the device and external environment data of the entity executing the service activity in the sensing area;
10 The manufacturing process data causal chain view module (7) sequentially arranges manufacturing key data examples in the manufacturing key data example set formed by the service activity multi-mode data example constructor (6) according to the serial and parallel service activity chains arranged by the manufacturing process data causal chain arranging module (4) to obtain a manufacturing process data causal chain example of a current entity, and the entity completes the current service activity;
11 After the real object completes the current business activity, executing the next business activity or entering the next Internet of things sensing area, re-executing the steps 4) -10) until all the business activities expected to be executed by the real object are executed.
9. The manufacturing process multi-modal data causal link construction method of claim 8, wherein: in the step 3), when the electronic tag data management module (1) uses the card sender to bind the real object with the electronic tag:
if the electronic tag is used for the first time, creating a form of electronic tag basic attribute data, electronic tag record data, binding object data and object record data, and writing a new record;
if the electronic tag is not used for the first time, a new line record is added in the electronic tag basic attribute data, the electronic tag record data, the binding object data and the object record data.
10. The manufacturing process multi-modal data causal link construction method of claim 9, wherein: the method for adding the manufacturing process data causal chain number of the current physical object and the service activity number under the data causal chain of the current physical object in the new row record comprises the following steps: and finding out a manufacturing process data causal chain number and a starting service activity number matched with the current object type from a serial-parallel service activity chain of the manufacturing process data causal chain arrangement module (4) according to the object type, and writing the found data causal chain number and the starting service activity number into binding object data.
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| Title |
|---|
| 基于RFID技术的离散制造过程其量指标监控研究;曲仁秀;王志国;;广西大学学报(自然科学版)(第02期);第263-268页 * |
| 复杂产品装配物料精细化管控系统;伍伟民;刘检华;唐承统;庄存波;瓮刚;;计算机集成制造系统;第23卷(第04期);全文 * |
| 论制造物联技术与供应链可视化管理;谭雪清;王京红;霍然;;CAD/CAM与制造业信息化(05);第49-50页 * |
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