CN106355312A - Intelligent material dispatching system based on large data in sugar factory - Google Patents
Intelligent material dispatching system based on large data in sugar factory Download PDFInfo
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- CN106355312A CN106355312A CN201610731325.6A CN201610731325A CN106355312A CN 106355312 A CN106355312 A CN 106355312A CN 201610731325 A CN201610731325 A CN 201610731325A CN 106355312 A CN106355312 A CN 106355312A
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- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
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Abstract
The invention provides an intelligent material dispatching system based on large data in sugar factory, whose system structure adopts a three-tier system of lower computer -> the server-> the client, and uses a real-time communication network formed by the field bussing technology, the local area network and the wide area network communication technology to form a distributed monitoring system.The intelligent dispatching system can establish an operation strategy model for material dispatching according to the theory of sugar production and the experience data provided by the skilled workers, and collect the parameters of the production process, the laboratory analysis data and the manual instruction in real time, which will transmitted to the operator's smart phone, tablet computer and computer for reference through the conditions judgment system, automatic generation of operational instructions, and the computer network. The system can complete single dispatching task, develop a batch of dispatching plans, and achieve tracing management of dispatching instruction, thereby greatly the processing efficiency of production management personnel is improved and control of the overall production becomes easier.
Description
Technical field
The present invention relates to a kind of scheduling system, the material intelligent scheduling system based on big data for specifically a kind of sugar refinery, belong to
In sugar refining technology control technology field.
Background technology
Current sugar refinery material dispatch generally existing overall management mechanism is backward, running efficiency is low, skilled worker is in great shortage
By manually removing complete observation and analysis, present situation, much also will judge that the various situations of production process are controlled and adjust, because
The experience control of this operator seems extremely important.However, due to the reasons such as talent's scarcity, flow of personnel, experienced operation
The experience of workman cannot be passed on, and directly affects product quality, easily causes the loss of production economy benefit.
For this reason, part sugar refinery employs sugar refinery material automatic dispatching system being managed as a whole, but the material of routine is certainly
The creation data that dynamic scheduling system is supplied to management level only takes initial data form mode to export, and needs artificial or third party
Software later stage compilation calculates, and lacks and data depth is excavated, and causes cohersive and integrated data to dissect depth not to produced on-site situation, no
Beneficial to administration and timely decision-making；Also result in business decision basis source in personnel's experience, lack the Objective support of data.
Content of the invention
In order to solve the above problems, the invention provides a kind of material intelligent based on big data for sugar refinery dispatches system, should
Intelligent dispatching system can be built for material dispatch according to sugar refining technology theory and the common empirical data providing of skilled worker
Vertical operation strategy model, the information such as Real-time Collection production process parameters, laboratory analysis of data, manual command simultaneously, by condition
Determination strategy, automatically generates suggestion for operation instruction, by computer network, is sent to smart mobile phone, the flat board electricity of operator
On brain and computer, for operator's reference.
The concrete technical scheme of the present invention is: a kind of material intelligent based on big data for sugar refinery dispatches system, its system tray
Structure adopts slave computer → server → client three tier architecture, and using field bus technique, LAN and wide area Netcom
News technology forms real-time communication net, forms a distributed monitoring system, wherein:
Slave computer is used for gathering milling shop, system refining workshop, power houses, the production process parameters in chemical examination workshop, assay
The information of data and manual command is simultaneously transmitted to server by fieldbus；
Server adopts distributed big data server, and it is according to the experience number that sugar refining technology is theoretical and several skilled worker provides
According to, set up operation strategy model for material dispatch, then according to slave computer transmission come real-time production data sentenced by condition
Disconnected strategy, obtains calculating data results and automatically generating suggestion for operation instruction, then by sugar refinery local network transport to client
End；
Client includes the management level client for Production scheduling management personnel and the operation client for operative employee, management
Layer client is responsible for the data results that the reception server transmission comes, and operation client is responsible for the operation that the reception server transmits
Suggestion instruction.
Described manual command adopts the input and output instruction system of class peopleization language, sends instruction to service for operative employee
The operation strategy of the operation strategy model of device is modified.
Described sugar refinery LAN connects internet wide area network also by outer net fire wall, and passes through internet wide area network
The data results that calculate server and the suggestion for operation generating instruct the movement being sent to general headquarters of group and related personnel
Office equipment.
Described management level client includes control room, generating unit, individual shop office, the client of ZongJingBan.
Advantages of the present invention is:
1st, using positive treatment mechanism, upgrading sugar refinery production and management decision-making pattern.
Traditional enterprise management decision making flow process is: go wrong, logical analyses, find out cause effect relation, propose solution,
Belong to reverse thinking pattern, be subjective visual angle according to leader and experience is used as decision-making basis for estimation, there is very big office
Sex-limited and tendentiousness；The pattern of this problematic drive is often that problem has occurred and that simultaneously, and enterprise production and management is had resulted in
Harm.
The present invention based on the decision-making mode of big data technology is: collects data, quantitative analysiss, finds out mutual relation, proposition
Prioritization scheme, is direct ideation pattern.This forward direction treatment mechanism is independent of the subjective experience of people, is according to shape with the data fact
Become decision-making, objective, accurate, reliable；Strong to the exposure ability of problem hidden danger by correlation analysiss, prevent trouble before it happens；User
Do not need to probe into the cause effect relation of complexity, and only need to understand simple objective fact；Compare old model, such decision-making mechanism
Production and operation can more fully be grasped dynamic, quickly make tropism and judge, just formulate before problem does not occur and take precautions against optimization side
Case, evades business risk significantly.
2nd, for sugar refinery practitioner customization targetedly material dispatch solution of each level.
The manual command of the present invention adopts the input and output instruction system of class peopleization language, simple and direct, easy-to-use, facilitates people from post
Member grasps, and quickly forms the productivity, and using this instruction system, post personnel can change complete independently control strategy, break through and control
The specialty restriction of policy development, at utmost adapts to field control needs.
The material Automatic dispatching that the present invention completes single task for basic unit's production manager controls, and formulates mass task simultaneously
Workshop section's operation plan, substantially increase the issued transaction efficiency of production management personnel, be more convenient control produce the overall situation.The present invention
There is provided decision-making foundation so that data is true for enterprise operator, provide predictive data service using positive treatment mechanism for enterprise.
3rd, realize industrial data and LAN data physical isolation, be independent of each other, improve industrial automation control system
Safety.
Industrial automation control system positioned at production district is physically separated using industrial dedicated network and LAN, and makes
The data server software of the linux operating system with having high security carries out data examination ＆ verification and friendship as fire wall and outer net
Change, effectively prevented the computer virus of outer net and the attack of wooden horse.
Brief description
Fig. 1 is the system architecture diagram of the present invention.
Specific embodiment
The present invention is described further below in conjunction with the accompanying drawings.
As shown in figure 1, the system architecture that this material intelligent based on big data dispatches system adopts slave computer → server
→ client three tier architecture, and using field bus technique, LAN and wide area network mechanics of communication composition real-time communication net,
One distributed monitoring system of composition.Slave computer is key-course, and server and client side is information management layer, field bus technique
Using modbus fieldbus, LAN and wide area network by the way of cable network and wireless network combine, key-course with
Information management layer separates, and field apparatus autonomy is strengthened, and the control of its basic process, warning and computing function etc. are divided completely
Cloth completes at the scene, even if top service device breaks down, does not also interfere with the control affairs of key-course field apparatus, thus
Greatly improve security reliability and the stability of production, the performance of system also obtains comprehensive raising.
Slave computer is used for gathering milling shop, system refining workshop, power houses, the production process parameters in chemical examination workshop, chemical examination
The information of analytical data and manual command is simultaneously transmitted to server by fieldbus.Described manual command adopts class peopleization language
Input and output instruction system, simple and direct, easy-to-use, facilitate post personnel grasp, quickly formed the productivity；Using this instruction system,
Post personnel can change complete independently control strategy, breaks through the specialty restriction that control strategy is formulated, at utmost the control of adaptation scene
System needs.
Server adopts distributed big data server, and it is according to the warp that sugar refining technology is theoretical and several skilled worker provides
Test data, set up operation strategy model for material dispatch, then bar is passed through according to the real-time production data that slave computer transmission comes
Part determination strategy, obtains calculating data results and automatically generating suggestion for operation instruction, then by sugar refinery local network transport extremely
Client.
Client includes the management level client for Production scheduling management personnel and the operation client for operative employee,
Management level client is responsible for the data results that the reception server transmission comes, and operation client is responsible for what the reception server transmitted
Suggestion for operation instructs.Management level client includes control room, generating unit, individual shop office, the client of ZongJingBan.
Described sugar refinery LAN connects internet wide area network also by outer net fire wall, and passes through internet wide area network
The data results that calculate server and the suggestion for operation generating instruct the movement being sent to general headquarters of group and related personnel
Office equipment.Outer net fire wall carries out data using the data server software of the linux operating system with high security to be examined
Core and exchange, have effectively prevented the attack of computer virus and wooden horse.
Present system using process is: in factory, skilled worker is input to some Rule of judgment in system, the group of condition
Close corresponding corresponding dispatch command.System, automatically according to the condition measuring, in conjunction with default input condition, is judged corresponding
Dispatch command, then the dispatch command (form is generally: " that will determine that out is condition according to xxx() it is proposed that xxx(dispatches refers to
Make) ") it is shown to operating post and see, can be shown by mobile phone, panel computer shows, or software interface shows.
The dispatch command of present system automatically generates pattern and basic unit's production manager can be replaced to complete single scheduling times
Business, also can formulate the operation plan of mass simultaneously, realize dispatch command simultaneously and review formula management, substantially increase production management
The issued transaction efficiency of personnel, is more convenient to control the production overall situation.For enterprise operation and management person, present system is to material
The plan of scheduling tissue, arrangement, enforcement all have accurate mathematical statisticss to calculate and process capability analysis, can produce as enterprise and flow
Cheng Youhua provides theory with cost management；Utilize big data technology to creation data comprehensive analysis simultaneously, indicate flow process disadvantage
End, provides optimization conclusion, prevents trouble before it happens.
Claims (4)
1. a kind of material intelligent based on big data for sugar refinery dispatches system, it is characterized in that: what described material intelligent dispatched system is
System framework adopts slave computer → server → client three tier architecture, and using field bus technique, LAN and wide area
Netcom's news technology composition real-time communication net, forms a distributed monitoring system, wherein:
Slave computer is used for gathering milling shop, system refining workshop, power houses, the production process parameters in chemical examination workshop, assay
The information of data and manual command is simultaneously transmitted to server by fieldbus；
Server adopts distributed big data server, and it is according to the experience number that sugar refining technology is theoretical and several skilled worker provides
According to, set up operation strategy model for material dispatch, then according to slave computer transmission come real-time production data sentenced by condition
Disconnected strategy, obtains calculating data results and automatically generating suggestion for operation instruction, then by sugar refinery local network transport to client
End；
Client includes the management level client for Production scheduling management personnel and the operation client for operative employee, management
Layer client is responsible for the data results that the reception server transmission comes, and operation client is responsible for the operation that the reception server transmits
Suggestion instruction.
2. material intelligent according to claim 1 dispatches system, it is characterized in that: described manual command adopts class peopleization language
Input and output instruction system, send to instruct for operative employee and the operation strategy of the operation strategy model of server repaiied
Change.
3. material intelligent according to claim 1 dispatches system, it is characterized in that: described sugar refinery LAN is prevented also by outer net
Wall with flues connects internet wide area network, and the data results that server calculated by internet wide area network and generation
Suggestion for operation instruction is sent to the mobile office equipment of general headquarters of group and related personnel.
4. material intelligent according to claim 1 dispatches system, it is characterized in that: described management level client includes dispatching
Room, generating unit, individual shop office, the client of ZongJingBan.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610731325.6A CN106355312A (en) | 2016-08-26 | 2016-08-26 | Intelligent material dispatching system based on large data in sugar factory |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610731325.6A CN106355312A (en) | 2016-08-26 | 2016-08-26 | Intelligent material dispatching system based on large data in sugar factory |
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| Publication Number | Publication Date |
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| CN106355312A true CN106355312A (en) | 2017-01-25 |
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| CN201610731325.6A Pending CN106355312A (en) | 2016-08-26 | 2016-08-26 | Intelligent material dispatching system based on large data in sugar factory |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107341614A (en) * | 2017-07-10 | 2017-11-10 | 广西宏智科技有限公司 | Based on internet+cane sugar manufacture factory chemical analysis management system |
| CN107463152A (en) * | 2017-07-14 | 2017-12-12 | 广东省生物工程研究所（广州甘蔗糖业研究所） | A kind of cane sugar factory production scheduling system and its operation method |
| CN107679727A (en) * | 2017-09-26 | 2018-02-09 | 武汉名广科技有限公司 | A kind of quality management and material dispatch system based on big data |
| CN108182535A (en) * | 2017-12-28 | 2018-06-19 | 鞍钢集团朝阳钢铁有限公司 | A kind of material information management method |
| CN108881107A (en) * | 2017-05-09 | 2018-11-23 | 腾讯科技（深圳）有限公司 | A kind of distributed resource dispensing method, apparatus and system |
| CN109873847A (en) * | 2017-12-04 | 2019-06-11 | 北新集团建材股份有限公司 | A kind of multiplexing factory production monitoring method and system |
| CN110955196A (en) * | 2018-09-27 | 2020-04-03 | 北京国双科技有限公司 | Processing method and system for production process index data |
| CN111819564A (en) * | 2018-03-07 | 2020-10-23 | 西门子工业软件有限公司 | Method and system for automatic work order creation |
| WO2023207060A1 (en) * | 2022-04-24 | 2023-11-02 | 西安交通大学 | Distributed production line scheduling method and system based on dispatching rules |
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| CN203502808U (en) * | 2013-10-12 | 2014-03-26 | 广西宏智科技有限公司 | Wireless dispatching and command system for sugar mill |
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| CN102929219A (en) * | 2012-09-24 | 2013-02-13 | 四川大学 | Cloud-computing-based production monitoring and intelligent scheduling decision making system |
| CN203502808U (en) * | 2013-10-12 | 2014-03-26 | 广西宏智科技有限公司 | Wireless dispatching and command system for sugar mill |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108881107A (en) * | 2017-05-09 | 2018-11-23 | 腾讯科技（深圳）有限公司 | A kind of distributed resource dispensing method, apparatus and system |
| CN107341614A (en) * | 2017-07-10 | 2017-11-10 | 广西宏智科技有限公司 | Based on internet+cane sugar manufacture factory chemical analysis management system |
| CN107463152A (en) * | 2017-07-14 | 2017-12-12 | 广东省生物工程研究所（广州甘蔗糖业研究所） | A kind of cane sugar factory production scheduling system and its operation method |
| CN107463152B (en) * | 2017-07-14 | 2023-08-11 | 广东省生物工程研究所（广州甘蔗糖业研究所） | Sugarcane sugar factory production command scheduling system and operation method thereof |
| CN107679727A (en) * | 2017-09-26 | 2018-02-09 | 武汉名广科技有限公司 | A kind of quality management and material dispatch system based on big data |
| CN109873847A (en) * | 2017-12-04 | 2019-06-11 | 北新集团建材股份有限公司 | A kind of multiplexing factory production monitoring method and system |
| CN108182535A (en) * | 2017-12-28 | 2018-06-19 | 鞍钢集团朝阳钢铁有限公司 | A kind of material information management method |
| CN108182535B (en) * | 2017-12-28 | 2020-06-16 | 鞍钢集团朝阳钢铁有限公司 | Material information management method |
| CN111819564A (en) * | 2018-03-07 | 2020-10-23 | 西门子工业软件有限公司 | Method and system for automatic work order creation |
| CN111819564B (en) * | 2018-03-07 | 2024-05-28 | 西门子工业软件有限公司 | Method and system for automatic work instruction creation |
| CN110955196A (en) * | 2018-09-27 | 2020-04-03 | 北京国双科技有限公司 | Processing method and system for production process index data |
| WO2023207060A1 (en) * | 2022-04-24 | 2023-11-02 | 西安交通大学 | Distributed production line scheduling method and system based on dispatching rules |
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