CN102929219A - Cloud-computing-based production monitoring and intelligent scheduling decision making system - Google Patents
Cloud-computing-based production monitoring and intelligent scheduling decision making system Download PDFInfo
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Abstract
The invention discloses a cloud-computing-based production monitoring and intelligent scheduling decision making system. The system mainly comprises production data acquisition modules, a data analysis and processing module, a production monitoring module, a production efficiency estimation module and an intelligent production unit scheduling module, wherein the production data acquisition modules acquire production data from production units distributed in different places in real time and upload the production data to a real-time production database at a cloud through Internet; the data analysis and processing module preprocesses, summarizes and analyzes mass real-time production data to generate data required by decision making, and stores the data in a production decision making database; the production monitoring module monitors the real-time production condition of each production unit; the production efficiency estimation module analyzes the real-time production data to estimate the production efficiency of each production unit; and the intelligent production unit scheduling module generates the optimal decision making scheme by using an intelligent algorithm. By the system, the single production scheduling of factories, workshops and production lines of production enterprises at all levels is realized.
Description
Technical field
The present invention relates to the production monitoring dispatching system based on cloud computing and artificial intelligence decision-making technic, more particularly, relate to a kind of labor-intensive that is applied to many kinds, short run and make field enterprise, based on production monitoring and the intelligent scheduling decision system of cloud computing.
Background technology
Labor-intensive in many kinds, short run is made the field, and such as manufacturing industry such as clothes, shoes and hats, in order to tackle fierce global competition, enterprise uses various computer information systems widely, promotes efficient and the performance of production management.These systems comprise based on the production data acquisition system of bar code and radio RF recognition technology (RFID), management information system (MIS) and Enterprise Resources Planning (ERP) system etc.
Labor-intensive in many kinds, short run is made the field, based on the production data acquisition system of RFID technology, is successfully applied to widely the collection production data.This system can collect the production data of magnanimity accurately and efficiently from the production terminal of manufacturing enterprise.But, if there are a plurality of production plants in a manufacturing enterprise in different areas, then must one this system of cover be installed respectively in each production plant.Data between different production plants are difficult to integrated, and each production plant still is separate data silo, seriously hinders enterprise to the coordinated management of each production plant.In addition, though a large amount of data are collected, still, data acquisition system (DAS) only has simple report capability, can't supply the Production Scheduling Decision function by automatic lifting, for production manager provides the scheduling decision scheme.
And MIS and ERP system lay particular emphasis on daily corporate operation affairs electronization.They all can't be for production manager produces the scheduling decision scheme, and often is difficult to and the production data acquisition system effective integration that is dispersed in each production plant; The latter causes MIS and ERP system not carry out real-time tracking and monitoring to the data of the productive unit (can be factory, production line or workstation) of each aspect of manufacturing enterprise.
In sum, in the labour-intensive manufacturing industry of many kinds, short run, the corporate executive of enterprise has much room for improvement for the monitoring capacity of producing, and the Production Scheduling Decision of enterprise mainly depends on bottom-line management person's subjective experience or simple the reckoning.Because the complicacy of production scheduling problems, and the limitation of subjective decision, existing level of decision-making is usually lower, and very large room for promotion is arranged.
Summary of the invention
For the labour-intensive manufacturing enterprise production monitoring of many kinds, short run and the current situation of scheduling decision, the present invention aims to provide a kind of system that carries out in real time remote production tracking and monitoring and effective manufacture order scheduling for enterprise, realizing enterprise to the effective monitoring of each productive unit production status, and provide sound assurance for the effective decision-making of producing dull degree.
The technical problem to be solved in the present invention is, can not realize long-range real-time production monitoring and the automatic defective of manufacture order scheduling decision for prior art, and a kind of production monitoring and intelligent scheduling decision system based on cloud computing that overcomes defects is provided.
The technical solution adopted for the present invention to solve the technical problems is: construct a kind of production monitoring based on cloud computing and intelligent scheduling decision system, comprise the production data acquisition module, in real time Production database, data analysis and processing module, production decision database, production monitoring module, production efficiency are estimated module and intelligent productive unit scheduler module, wherein:
(1) production data acquisition module: utilize radio RF recognition technology Real-time Collection record of production from the workstation that is distributed in each productive unit of different location, and utilize the TCP/IP technology to upload to the real-time Production database in high in the clouds by Internet;
(2) data analysis and processing module: to being stored in the real-time production data of the magnanimity in the real-time Production database, carry out pre-service and Macro or mass analysis, extract, produce the required data of production decision, and be stored in the production decision database;
(3) production monitoring module: by portable terminal, based on Internet and TCP/IP technology, the long-range production combined data that reads in the policy database is carried out real-time remote monitoring to the production status of each aspect productive unit;
(4) production efficiency is estimated module: the production combined data from read policy database, efficient to former each manufacture order produced of each productive unit is analyzed and is calculated, and estimate accordingly each productive unit for the average production efficiency of new production list, with the input of this efficiency prediction value as intelligent productive unit scheduler module;
(5) intelligent productive unit scheduler module: read required production data from the production decision database, estimate the production efficiency discreet value that module produces based on production efficiency, utilize artificial intelligence optimization's algorithm automatically to produce the manufacture order scheduling decision scheme of each aspect productive unit.
In the production monitoring based on cloud computing of the present invention and intelligent scheduling decision system, described production data acquisition module adopts the RFID technology to collect data, and utilizes the TCP/IP technology data to be sent to the Production database of far-end.
In the production monitoring based on cloud computing of the present invention and intelligent scheduling decision system, described data analysis and processing module can adopt extend markup language, and utilize Data Preprocessing Technology to remove noise data, and set up the required production combined data of production decision.Noise data can adopt the mode of data scrubbing or data integration to remove.The required production data of production decision can adopt the data reduction method to carry out data analysis and gather.The required production data of production decision generally comprises the configuration of the equipment of each aspect productive unit and manpower, to operation note and efficient, manufacture order data and friendship phase of operated manufacture order.
In the production monitoring based on cloud computing of the present invention and intelligent scheduling decision system, described production monitoring module can be utilized mobile phone or computer terminal, by modes such as data sheet, JIT beat analysis production status is monitored.
In the production monitoring based on cloud computing of the present invention and intelligent scheduling decision system, described intelligent productive unit scheduler module adopts the harmony algorithm of emulation technology, artificial intelligence technology to produce manufacture order scheduling scheme optimum between each aspect productive unit.
Adopt the production monitoring based on cloud computing of the present invention and intelligent scheduling decision system, can be used for the labour-intensive production system of particular type, such as the gradual bounding system of rag trade, unit type production system etc., scheduling decision.This system also can be applied to the logistics of whole industry and tracking and the monitoring of supply chain system after slightly making improvements, also can be used for scheduling and the decision-making of logistics system.
Prior art can not long-range realization production status Real Time Monitoring, the production data of each productive unit forms information island can not effective integration, and can not the supplement production supvr make effective manufacture order scheduling decision.The present invention can overcome above-mentioned shortcoming effectively, and it realizes the Real Time Monitoring of long-range production status based on cloud, RFID technology, and utilizes artificial intelligence technology to produce in real time manufacture order scheduling decision scheme objective, science.Because relevant manufacture order scheduling problem has NP-hard(Non-deterministic Polynomial-Hard, the nondeterministic polynomial difficult problem) characteristic, the present invention adopts the harmony algorithm of artificial intelligence technology can generate efficient and reliable production decision, to satisfy the needs of different production scheduling targets in the production management.
Implement the production monitoring based on cloud computing of the present invention and intelligent scheduling decision system, have following good effect:
(1) based on the production data acquisition module of RFID and TCP/IP technology, can not be subjected to the restriction of geographic area, the record of production that remote collection is real-time;
(2) utilize mobile phone to be connected portable terminal to connect cloud server with computer, can not be subjected to the restriction of when and where, the remote monitoring one line condition of production;
(3) utilize data analysis and processing module, from the production data of magnanimity, extract the required necessary data of decision-making, help to improve the response speed of system;
(4) the harmony algorithm of employing emulation technology, artificial intelligence technology, the manufacture order scheduling for production line, workshop and factory's aspect provides decision scheme automatically, can greatly improve the performance of scheduling decision;
(5) this system has good extendability, by with the production data acquisition module application in logistics and supply chain link, can follow the trail of logistics and supply chain network.
Description of drawings
Fig. 1 the present invention is based on the production monitoring of cloud computing and the structured flowchart of intelligent scheduling decision system;
Fig. 2 is the structural representation of production data acquisition module in the preferred embodiment of the present invention;
Fig. 3 is the structural representation of production monitoring module in the preferred embodiment of the present invention;
Fig. 4 is the process flow diagram of intelligent productive unit scheduler module in the preferred embodiment of the present invention.
Embodiment
Provide embodiments of the invention below in conjunction with description of drawings, the invention will be further described by embodiment.
As shown in Figure 1, in a preferred embodiment of the invention, production monitoring and the intelligent scheduling decision system based on cloud computing comprises the production data acquisition module, Production database, data analysis and processing module, production decision database, production monitoring module, production efficiency are estimated module and intelligent productive unit scheduler module in real time.
Wherein, the production data acquisition module, gather real-time production data based on the RFID technology from the factory that is distributed in different regions, these production datas comprise production line and parking stall configuration data, manufacture order data, come from the operation record of production of each production line, workstation etc.; In addition, this module is utilized the TCP/IP technology, is transferred to long-range real-time Production database with gathering the real-time production data that comes by Internet, can realize the high in the clouds storage of production data.Existing data acquisition system (DAS) based on the RFID technology also can gather real time data, but these systems can't realize the high in the clouds storage of data, and the function that does not have scheduling decision, thereby can not the supplement production supvr carry out scheduling decision (and the intelligent productive unit scheduler module among the present invention utilizes intelligent algorithm to produce optimized scheduling decision, can realize this function).The specific implementation of production data acquisition module as shown in Figure 2.
Data analysis and processing module, at first utilize the cleaning of preconditioning technique such as data, data integration etc., remove because shop floor worker reads irrational record of production that RFID information is lack of standardization or misoperation causes, and the unified of data of realizing a plurality of data sources stored, then gather by data reduction etc. real-time production data is gathered, produce the required production data of decision-making, and utilize database technology to deposit in the production decision database, for follow-up processing provides the basis.The required production data of making a strategic decision comprises, the equipment of factory, workshop, production line and workstation and manpower configuration information and to operation note and efficient, manufacture order data and friendship phase etc. of operated manufacture order.
The production monitoring module is for the enterprise practical demand, utilization is based on the Web programming technique of Java, customize all kinds of production monitoring forms for decision-making, and can be long-range by the data in smart mobile phone, portable computer etc. the mobile terminal enquiry production decision database, the production status of each productive unit of Real-time Obtaining (workshop, production line, workstation).The specific implementation of production monitoring module as shown in Figure 3.
Production efficiency is estimated module and is read production combined data in the production decision database, and according to the passing situation of finishing production task of each productive unit (workshop, production line, workstation), its efficient of producing different manufacture orders is analyzed, and by setting up a series of heuristic rules, estimate the average production efficiency of each productive unit.Can be expressed as such as certain heuristic rule: if new production single in certain production run similar to certain old single corresponding process, and its complexity is old single 1.2 times, then the original production unit should be old single 1/1.2 to new single production efficiency.
Intelligence productive unit scheduler module is based on a kind of searching process (as shown in Figure 4) of harmony algorithm of artificial intelligence technology, for the scheduling of the manufacture order in the productive unit (factory, workshop and three aspects of production line) of different aspects provides more effective, optimized scheduling decision scheme.In Fig. 4, each harmony represents the candidate solution of a manufacture order scheduling, and utilizes emulation technology that the performance of separating is assessed.
Wherein, the manufacture order of factory's aspect is dispatched for following scheduling decision problem: manufacturing enterprise obtains the production order of a large amount of many kinds, short run from different clients; Manufacturing enterprise at first needs to carry out the scheduling of manufacture order, namely according to delivery date and the production requirement of client's appointment, these production tasks is assigned to a plurality of different factories produces.
The scheduling of the manufacture order of workshop aspect is for following scheduling decision problem: each factory is after receiving the production task that issues from client or higher level enterprise, need further plan how each production procedure of these manufacture orders to be issued to suitable workshop, and when issue.
The scheduling of the manufacture order of production line aspect is after workshop is received the production task that factory issues, and further determines how between each production line manufacture order to be dispatched or to adjust.
The above is described embodiments of the invention by reference to the accompanying drawings; but the present invention is not limited to above-mentioned embodiment; above-mentioned embodiment only is schematic; rather than restrictive; those of ordinary skill in the art is under enlightenment of the present invention; not breaking away from the scope situation that aim of the present invention and claim protect, also can make a lot of forms, these all belong within the protection of the present invention.
Claims (10)
1. production monitoring and intelligent scheduling decision system based on a cloud computing, it is characterized in that, comprise the production data acquisition module, in real time Production database, data analysis and processing module, production decision database, production monitoring module, production efficiency are estimated module, intelligent productive unit scheduler module, wherein
(1) production data acquisition module: utilize radio RF recognition technology Real-time Collection record of production from the workstation that is distributed in each productive unit of different location, and utilize the TCP/IP technology to upload to the real-time Production database in high in the clouds by Internet;
(2) data analysis and processing module: to being stored in the real-time production data of the magnanimity in the real-time Production database, carry out pre-service and Macro or mass analysis, extract, produce the required data of production decision, and be stored in the production decision database;
(3) production monitoring module: by portable terminal, based on Internet and TCP/IP technology, the long-range production combined data that reads in the policy database is carried out real-time remote monitoring to the production status of each aspect productive unit;
(4) production efficiency is estimated module: the production combined data from read policy database, efficient to former each manufacture order produced of each productive unit is analyzed and is calculated, and estimate accordingly each productive unit for the average production efficiency of new production list, with the input of this efficiency prediction value as intelligent productive unit scheduler module;
(5) intelligent productive unit scheduler module: read required production data from the production decision database, estimate the production efficiency discreet value that module produces based on production efficiency, utilize artificial intelligence optimization's algorithm automatically to produce the manufacture order scheduling decision scheme of each aspect productive unit.
2. production monitoring and intelligent scheduling decision system based on cloud computing according to claim 1, it is characterized in that, described production data acquisition module adopts the RFID technology to collect data, and utilizes the TCP/IP technology data to be sent to the real-time Production database in high in the clouds.
3. production monitoring and intelligent scheduling decision system based on cloud computing according to claim 1, it is characterized in that, described data analysis and processing module adopt extend markup language, and utilize Data Preprocessing Technology to remove noise data, utilize database technology to set up the required production combined data of production decision.
4. production monitoring and intelligent scheduling decision system based on cloud computing according to claim 1 is characterized in that described production monitoring module is utilized mobile phone and computer terminal, by data sheet or JIT beat analysis mode production status are monitored.
5. production monitoring and intelligent scheduling decision system based on cloud computing according to claim 1 is characterized in that, it is by setting up a series of heuristic rules, estimating the average production efficiency of each productive unit that described production efficiency is estimated module.
6. production monitoring and intelligent scheduling decision system based on cloud computing according to claim 1, it is characterized in that described intelligent productive unit scheduler module adopts the harmony algorithm of emulation technology and artificial intelligence technology to produce manufacture order scheduling scheme optimum between each productive unit.
7. production monitoring and intelligent scheduling decision system based on cloud computing according to claim 3 is characterized in that, data analysis and processing module adopt data scrubbing or data integration mode to remove noise data.
8. production monitoring and intelligent scheduling decision system based on cloud computing according to claim 3 is characterized in that, data analysis and processing module adopt the data reduction method to carry out data analysis and gather, and produce the required production data of production decision.
9. production monitoring and intelligent scheduling decision system based on cloud computing according to claim 3, it is characterized in that the required production data of production decision comprises the configuration of the equipment of each aspect productive unit and manpower, to operation note and efficient, manufacture order data and friendship phase of operated manufacture order.
10. according to claim 1 to one of 9 described production monitoring and intelligent scheduling decision systems based on cloud computing, it is characterized in that described productive unit is production plant, workshop, production line or workstation.
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