CN107463152B - Sugarcane sugar factory production command scheduling system and operation method thereof - Google Patents
Sugarcane sugar factory production command scheduling system and operation method thereof Download PDFInfo
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- 238000004519 manufacturing process Methods 0.000 title claims abstract description 145
- 238000000034 method Methods 0.000 title claims abstract description 22
- 240000000111 Saccharum officinarum Species 0.000 title claims description 9
- 235000007201 Saccharum officinarum Nutrition 0.000 title claims description 9
- CZMRCDWAGMRECN-UGDNZRGBSA-N Sucrose Chemical compound O[C@H]1[C@H](O)[C@@H](CO)O[C@@]1(CO)O[C@@H]1[C@H](O)[C@@H](O)[C@H](O)[C@@H](CO)O1 CZMRCDWAGMRECN-UGDNZRGBSA-N 0.000 claims abstract description 38
- 229930006000 Sucrose Natural products 0.000 claims abstract description 38
- 229960004793 sucrose Drugs 0.000 claims abstract description 38
- 238000013500 data storage Methods 0.000 claims abstract description 21
- 238000003556 assay Methods 0.000 claims description 10
- 238000012544 monitoring process Methods 0.000 claims description 7
- 238000007726 management method Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 4
- 238000001704 evaporation Methods 0.000 description 12
- 230000001276 controlling effect Effects 0.000 description 9
- 230000008020 evaporation Effects 0.000 description 8
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 7
- 238000009835 boiling Methods 0.000 description 6
- 238000005352 clarification Methods 0.000 description 6
- 235000011389 fruit/vegetable juice Nutrition 0.000 description 6
- 238000009313 farming Methods 0.000 description 5
- 239000000446 fuel Substances 0.000 description 5
- 238000010438 heat treatment Methods 0.000 description 4
- 239000007788 liquid Substances 0.000 description 4
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 2
- 239000003546 flue gas Substances 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 230000000149 penetrating effect Effects 0.000 description 2
- 241000609240 Ambelania acida Species 0.000 description 1
- 241000196324 Embryophyta Species 0.000 description 1
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 description 1
- 239000010905 bagasse Substances 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000003958 fumigation Methods 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000006386 neutralization reaction Methods 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 238000011017 operating method Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 239000005720 sucrose Substances 0.000 description 1
- 229910052717 sulfur Inorganic materials 0.000 description 1
- 239000011593 sulfur Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a cane sugar factory production commanding and dispatching system, which is characterized in that: the on-site control platform monitors the operation parameters of each production line section of the sugar refinery and controls the real-time operation state of the production line section according to the scheduling decision instruction; the OPC server collects operation parameters and sends scheduling decision instructions; the data storage server stores the operation parameters; the command and dispatch platform checks the operation parameters, issues the dispatch decision instruction, and operates a dispatch decision module. The operation method of the system is also provided, and the operation method comprises the following steps: 1. generating a current production plan by a production plan input module; 2. matching a matching parameter chain by a production execution comparison module; 3. determining an execution parameter chain by an operation parameter comparison module; 4. the scheduling decision module calculates the regulation and control parameters and converts the regulation and control parameters into scheduling decision instructions; 5. issuing a scheduling decision instruction by a command scheduling platform; 6. the on-site control platform controls the working section running state of the production line to finish generating a plan, and reasonable and efficient remote automatic control is realized.
Description
Technical Field
The invention relates to the technical field of sucrose production, in particular to a sugar refinery production commanding and dispatching system and an operation method thereof.
Background
The automatic and informationized level of the sugarcane sugar industry is behind in the industrial production field of China, in recent years, each sugar production group and enterprises start to realize that the improvement of the automatic and informationized level can greatly reduce the production cost and improve the production efficiency, and most sugar factories are provided with a DCS control system or a PLC control system in key production sections, such as a power section, a squeezing section and a processing section, so that the automatic level is improved to a certain extent. Because the sugar cane sugar industry is greatly influenced by factors such as climate, the adjustment of the squeezing amount or the adjustment of the production plan can have great influence on the production process, wherein whether the production command and the dispatching are reasonably and efficiently carried out is important, and the production efficiency and the economic benefit of enterprises are directly influenced; the sugar production commanding and dispatching process is a complex decision-making process, a dispatcher is required to master complete process knowledge and carry out corresponding theoretical calculation knowledge, domestic sugar production enterprises lack professional technical talents in the aspect, and in most cases, the dispatcher relies on own experience to carry out production commanding and dispatching, so that the production process often has larger fluctuation; meanwhile, the current production command scheduling process of domestic sugar-making enterprises depends on scheduling staff to give scheduling instructions to on-site operators through interphones or to the site, the execution process is low-efficiency, and misoperation often occurs due to communication problems, so that production accidents occur; there is therefore a need for improvement.
Disclosure of Invention
Aiming at the defects of the current production situation of the existing sugar refinery, the invention provides a production commanding and dispatching system of the sugar refinery, which can effectively solve the problems that the current production commanding and dispatching process of the sugar refinery is highly dependent on the experience of dispatcher, has low efficiency and the like, and realizes the centralized collection and management of the production data of the whole sugar refinery; the operation method of the production command scheduling system of the cane sugar factory is provided, a steady-state model of the whole factory of the cane sugar factory is built on the basis of a mathematical mechanism model, a production plan is converted into scheduling instructions of key process indexes of each section after being verified by the mathematical model, an effective tool is provided for sugar enterprises to reasonably and efficiently formulate and execute the production plan, the automation and informatization level of the sugar industry in China is improved, and the comprehensive competitiveness and economic benefit of the sugar enterprises in China are comprehensively improved.
The aim of the invention can be achieved by the following technical scheme:
a command and dispatch system for cane sugar factory production comprises a field control platform, an OPC server, a data storage server, a command and dispatch platform and a network platform.
The on-site control platform is used for monitoring real-time operation parameters of each production line working section of the cane sugar factory and controlling the operation state of each production line working section according to the scheduling decision instruction; the network platform comprises a switch, and the field control platform is electrically connected to the switch of the network platform; and the OPC server is electrically connected to the switch of the network platform, and is coupled with the field control platform, acquires real-time operation parameters and transmits scheduling decision instructions.
The data storage server is electrically connected to the switch of the network platform, and is coupled with the OPC server to store real-time operation parameters.
The command scheduling platform is electrically connected to the switch of the network platform, is coupled with the data storage server, reads real-time operation parameters, is coupled with the OPC server, and transmits scheduling decision instructions to the field control platform through the OPC server.
In the optimization scheme, the command and dispatch platform is provided with dispatch decision software, and the dispatch decision software comprises a production plan input module, a historical plan parameter module, a production execution comparison module, an operation parameter comparison module and a dispatch decision module.
The production plan input module is used for inputting a production plan as a current production plan, and the production plan is the sugarcane processing amount in unit time.
The historical plan parameter module is used for generating a historical plan parameter chain, and the historical plan parameter chain consists of a historical production plan and operation parameters of each production line working section of the cane sugar factory when the historical production plan is executed.
The production execution comparison module is used for matching the current production plan with the historical plan parameter chains to obtain a plurality of historical plan parameter chains as matching parameter chains, wherein the historical production plans in the matching parameter chains are identical or close to the current production plan.
The operation parameter comparison module compares the matched parameter chains with real-time operation parameters of the cane sugar factory, one execution parameter chain is determined in the matched parameter chains, and the operation parameters of the execution parameter chains are the same as or closest to the real-time operation parameters monitored by the field control platform.
The scheduling decision module calculates the operation parameters of the execution parameter chain through a mathematical mechanism model to obtain the regulation parameters of each production line working section, and then converts the regulation parameters into scheduling decision instructions for controlling the operation states of the corresponding production line working sections;
the data storage server is stored with a historical planning parameter chain, and the historical planning parameter chain is sent to the data storage server by scheduling decision software on a command scheduling platform or is manually input.
In a further optimization scheme, the command and dispatch platform is further provided with a plan management module for inquiring the historical production plan, a historical plan parameter chain generated under the historical production plan and an execution result of the historical production plan.
In a still further optimized scheme, in the production command and dispatch system of the cane sugar factory, the data storage server is provided with an ODBC protocol interface, and is accessed and stored with data of an assay database and/or a farming database through the ODBC protocol, wherein the assay database stores assay data related to the production process of the cane sugar factory, and the farming database stores farming data related to the planting process of the cane.
The operation method of the cane sugar factory production command and dispatch system comprises the following steps:
step 1, a production plan input module of scheduling decision software on a command scheduling platform inputs a production plan to generate a current production plan;
step 2, matching the current production plan of the step 1 with a historical plan parameter chain by a production execution comparison module of scheduling decision software on a command scheduling platform, and matching a plurality of historical plan parameter chains as matching parameter chains;
step 3, comparing the matched parameter chain of the step 2 with real-time operation parameters of the cane sugar factory by an operation parameter comparison module of scheduling decision software on a command scheduling platform to determine an execution parameter chain;
step 4, calculating the operation parameters of the execution parameter chain in the step 3 through a mathematical mechanism model by a dispatching decision module of dispatching decision software on a command dispatching platform to obtain the regulation parameters of each production line working section, and then converting the regulation parameters into dispatching decision instructions for controlling the operation states of the corresponding production line working sections;
step 5, issuing the scheduling decision instruction in the step 4 to a site control platform through an OPC server by a command scheduling platform;
and 6, controlling the running state of each production line working section by the field control platform according to the scheduling decision instruction in the step 4, and completing the generation plan.
In the production command and dispatch system of the cane sugar factory, a series of material balance equation, energy balance equation, phase balance equation and normalization equation, namely MESH equation set, are respectively established for key main body equipment of a power section, a squeezing section and a processing section of the cane sugar factory, and a mathematical mechanism model is established.
The key main equipment of the power section is a boiler, and the MESH equation set of the section is established by taking the fuel feeding amount, the fuel moisture, the fuel heat value, the air inlet quantity of an air blower, the flue gas outlet temperature, the drum liquid level, the hearth negative pressure, the steam temperature and the steam pressure of the boiler as input parameters and the steam flow and the water supply flow as output parameters; the water content and the heat value of the fuel are provided by an assay database, the fuel feeding amount, the air inlet amount of an air blower, the temperature of a flue gas outlet, the liquid level of a steam drum, the negative pressure of a hearth, the steam temperature and the steam pressure are obtained by monitoring a field control platform, the output parameters, namely the steam flow and the water supply flow, are the regulation parameters of the power section, and the running state of the power section, particularly the boiler, is controlled according to the calculated regulation parameters.
The key main equipment of the squeezing section is a squeezer, and the MESH equation set of the section is established by taking the squeezing amount of sugarcane and the ratio of penetrating water to sugarcane of the squeezer as input parameters and taking the penetrating water flow, the mixed juice flow and the bagasse amount as output parameters; the ratio of the permeated water to the cane is empirical data, the cane squeezing amount is obtained by monitoring by a field control platform, the output parameters of the permeated water flow, the mixed juice flow and the cane residue amount are the regulation parameters of the squeezing working section, and the running state of the squeezing working section, particularly the squeezer, is controlled according to the calculated regulation parameters.
The key main equipment of the production section comprises a clarification device, a condenser, a heater, an evaporation tank and a sugar boiling tank, and the input parameters of the MESH equation set of the production section comprise: (1) Heating steam temperature, heating steam pressure, tube shell area, heat exchange coefficient and outlet temperature of the heater; (2) Heat exchange coefficient, liquid level, juice steam chamber pressure, steam drum temperature and steam drum pressure of the evaporating pot; (3) the volume and heat exchange coefficient of the sugar boiling tank; (4) Mixed juice flow, intensity of sulfur fumigation, and PH value of the clarification device; (4) condenser outlet flow; the output parameters include: (1) steam flow of the heater, the evaporation tank and the sugar boiling tank; (2) the hammeriness of the final evaporation outlet of the evaporation tank; (3) a pre-ash amount of the clarification plant; (4) heat exchange efficiency of the heater and the evaporation tank. Wherein the area of the tube shell, the heat exchange coefficient and the volume of the sugar boiling tank are the equipment specification data, and the heating steam temperature, the heating steam pressure and the outlet temperature of the heater; the liquid level of the evaporating pot, the pressure of the juice steam chamber, the temperature of the steam drum and the pressure of the steam drum; the mixed juice flow, the sulphitation intensity, the sulphitation neutralization PH value and the condenser outlet flow of the clarification device are obtained by monitoring by a field control platform, and the steam flows of a parameter heater, an evaporation tank and a sugar boiling tank are output; the final evaporation outlet brix of the evaporation tank; pre-ash amount of clarification device; the heat exchange efficiency of the heater and the evaporating pot is the regulation and control parameter of the process section, and the operation states of the process section, in particular the clarification equipment, the heater, the evaporating pot and the sugar boiling pot are controlled according to the calculated regulation and control parameter.
According to the invention, the regulating and controlling parameters are calculated through the mathematical mechanism model to regulate and control key main body equipment of each production line working section, so that the efficient and reliable completion of the production plan is realized.
The invention has the following outstanding substantive features and remarkable progress:
1. the invention realizes that the dispatching operation and decision-making interact with the on-site control system directly, and compared with the existing way of issuing dispatching instructions orally by dispatching personnel, the invention provides a more efficient and reliable dispatching way for the sugar industry.
2. The scheduling operation and decision process is based on abundant real-time data and an accurate mathematical mechanism model, and is completely independent of knowledge and experience level of scheduling personnel, so that the sugar refinery production plan adjustment process is more stable.
The data storage server can acquire the operation parameters based on the OPC protocol, can acquire the test data and the agricultural data based on the ODBC in real time, solves the problem of the disconnection of the production information from the laboratory and the agricultural, and eliminates the information island problem in the sugar production process.
Drawings
Fig. 1 is a schematic structural view of the present invention.
Fig. 2 is a schematic diagram of another embodiment of the present invention.
Fig. 3 is a schematic view of another embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
Example 1
Referring to fig. 1, a cane sugar factory production commanding and dispatching system comprises a field control platform 1, an OPC server 2, a data storage server 3, a commanding and dispatching platform 4 and a network platform.
The on-site control platform 1 is used for monitoring real-time operation parameters of each production line working section of the cane sugar factory and controlling the operation state of each production line working section according to the scheduling decision instruction.
The network platform comprises a switch 5, and the field control platform 1 is electrically connected to the switch 5 of the network platform.
The OPC server 2 is electrically connected to a switch 5 of the network platform, and is coupled with the site control platform 1, acquires real-time operation parameters and transmits scheduling decision instructions.
The data storage server 3 is electrically connected to the switch 5 of the network platform, and is coupled with the OPC server 2 to store real-time operation parameters.
The command scheduling platform 4 is electrically connected to the switch 5 of the network platform, is coupled with the data storage server 3, reads real-time operation parameters, is coupled with the OPC server 2, and transmits scheduling decision instructions to the field control platform 1 through the OPC server 2.
The cane sugar factory production command scheduling system of the embodiment realizes the real-time operation condition monitoring of the production line working section of the cane sugar factory, and effectively improves the operation efficiency of the production line.
Example 2
Referring to fig. 2, the cane sugar factory production commanding and dispatching system of the present embodiment differs from that of embodiment 1 in that: in this embodiment, the data storage server 3 is provided with an ODBC protocol interface, and accesses and stores data of an assay database 31 and an agricultural database 32 through the ODBC protocol, where the assay database 31 stores assay data related to a production process of a cane sugar factory, and the agricultural database 32 stores agricultural data related to a planting process of cane sugar.
The cane sugar factory production command scheduling system of this embodiment obtains chemical examination data and farming data through the data storage server in real time, has solved the problem that the past production line assimilates the laboratory, farming disjoint, has eliminated the information island problem that the sugar production process exists.
Example 3
Referring to fig. 3, the cane sugar factory production commanding and dispatching system of the present embodiment differs from that of embodiment 2 in that: in this embodiment, the command and dispatch platform 4 is provided with a plan management module 43 and a dispatch decision software 6, and the dispatch decision software 6 includes a production plan input module 61, a history plan parameter module 62, a production execution comparison module 63, an operation parameter comparison module 64 and a dispatch decision module 65.
The production plan input module 61 is configured to input a production plan as an existing production plan, where the production plan is a sugarcane throughput per unit time.
The historic planning parameter module 62 is configured to generate a chain of historic planning parameters that includes a historic production plan and the operating parameters of each production line section of the cane sugar factory when the historic production plan is executed.
The production execution comparison module 63 matches the current production plan with the historical plan parameter chains to match a plurality of historical plan parameter chains as matching parameter chains, wherein the historical production plan in the matching parameter chains is the same as or close to the current production plan.
The operation parameter comparison module 64 compares the matching parameter chain with the real-time operation parameters of the cane sugar factory, and determines an execution parameter chain from the matching parameter chains, wherein the operation parameter of the execution parameter chain is the same as or closest to the real-time operation parameter monitored by the field control platform 1.
The scheduling decision module 65 calculates the operation parameters of the execution parameter chain through a mathematical mechanism model to obtain the regulation parameters of each production line working section, and then converts the regulation parameters into scheduling decision instructions for controlling the operation states of the corresponding production line working sections.
The data storage server 3 stores a historical planning parameter chain, and the historical planning parameter chain is sent to the data storage server 3 by scheduling decision software 6 on the command scheduling platform 4 or is manually input.
The plan management module 43 is configured to query the historical production plan, the historical plan parameter chain generated under the historical production plan, and the execution result of the historical production plan, or integrate the plan management module 43 with the scheduling decision software 6, so as to facilitate installation and operation with the scheduling decision software 6 as one software.
The operating method of the production commanding and dispatching system of the cane sugar factory comprises the following steps:
step 1, a production plan is input by a production plan input module 61 of scheduling decision software 6 on a command scheduling platform 4 to generate a current production plan;
step 2, the current production plan of the step 1 is matched with a historical plan parameter chain by a production execution comparison module 63 of scheduling decision software 6 on a command scheduling platform 4, and a plurality of historical plan parameter chains are matched to be used as matching parameter chains;
step 3, comparing the matched parameter chain of the step 2 with real-time operation parameters of the cane sugar factory by an operation parameter comparison module 64 of the scheduling decision software 6 on the command scheduling platform 4 to determine an execution parameter chain;
step 4, a scheduling decision module 65 of scheduling decision software 6 on the command scheduling platform 4 calculates the operation parameters of the execution parameter chain of step 3 through a mathematical mechanism model to obtain the regulation parameters of each production line working section, and then converts the regulation parameters into scheduling decision instructions for controlling the operation states of the corresponding production line working sections;
step 5, the command dispatching platform 4 issues the dispatching decision instruction of step 4 to the field control platform 1 through the OPC server 2;
and 6, controlling the running state of each production line working section by the field control platform 1 according to the scheduling decision instruction in the step 4, and completing the generation plan.
Claims (4)
1. The utility model provides a cane sugar factory production commander dispatch system, its is including on-the-spot control platform (1), OPC server (2), data storage server (3), commander dispatch platform (4) and network platform, its characterized in that:
the on-site control platform (1) is used for monitoring real-time operation parameters of each production line working section of the cane sugar factory and controlling the operation state of each production line working section according to the scheduling decision instruction; the network platform comprises a switch (5), and the field control platform (1) is electrically connected to the switch (5) of the network platform; the OPC server (2) is electrically connected to a switch (5) of the network platform, and is coupled with the field control platform (1) to collect real-time operation parameters and send scheduling decision instructions;
the data storage server (3) is electrically connected to the switch (5) of the network platform, and is coupled with the OPC server (2) to store real-time operation parameters;
the command scheduling platform (4) is electrically connected to a switch (5) of the network platform, is coupled with the data storage server (3) and reads real-time operation parameters, is coupled with the OPC server (2), and transmits scheduling decision instructions to the field control platform (1) through the OPC server (2);
the commanding and dispatching platform (4) is provided with dispatching decision software (6), and the dispatching decision software (6) comprises a production plan input module (61), a history plan parameter module (62), a production execution comparison module (63), an operation parameter comparison module (64) and a dispatching decision module (65);
the production plan input module (61) is used for inputting a production plan as a current production plan, wherein the production plan is the sugarcane processing amount in unit time;
the historical plan parameter module (62) is used for generating a historical plan parameter chain, and the historical plan parameter chain consists of a historical production plan and operation parameters of each production line section of the cane sugar factory when the historical production plan is executed;
the production execution comparison module (63) is used for matching the current production plan with the historical plan parameter chains to obtain a plurality of historical plan parameter chains as matching parameter chains, wherein the historical production plans in the matching parameter chains are the same as or close to the current production plan;
the operation parameter comparison module (64) compares the matched parameter chains with real-time operation parameters of the cane sugar factory, and determines an execution parameter chain from a plurality of matched parameter chains, wherein the operation parameters of the execution parameter chain are the same as or closest to the real-time operation parameters monitored by the field control platform (1);
the scheduling decision module (65) calculates the operation parameters of the execution parameter chain through a mathematical mechanism model to obtain the regulation parameters of each production line working section, and then converts the regulation parameters into scheduling decision instructions for controlling the operation states of the corresponding production line working sections;
the data storage server (3) is stored with a historical planning parameter chain, and the historical planning parameter chain is sent to the data storage server (3) by scheduling decision software (6) on the command scheduling platform (4) or is manually input.
2. The cane sugar factory production command and dispatch system of claim 1, wherein: and a plan management module (43) is further arranged on the command and dispatch platform (4) to inquire the historical production plan, a historical plan parameter chain generated under the historical production plan and an execution result of the historical production plan.
3. A cane sugar factory production command and dispatch system according to claim 1 or claim 2, wherein: the data storage server (3) is provided with an ODBC protocol interface, and accesses and stores data of an assay database (31) and/or an agricultural database (32) through the ODBC protocol, wherein the assay database (31) stores assay data related to the production process of a cane sugar factory, and the agricultural database (32) stores agricultural data related to the planting process of the cane.
4. A method of operating a cane sugar factory production command and dispatch system employing the cane sugar factory production command and dispatch system of claim 3, comprising the steps of:
step 1, a production plan is input by a production plan input module (61) of scheduling decision software (6) on a command scheduling platform (4) to generate a current production plan;
step 2, a production execution comparison module (63) of scheduling decision software (6) on a command scheduling platform (4) matches the current production plan of step 1 with a historical plan parameter chain to obtain a plurality of historical plan parameter chains as matching parameter chains;
step 3, comparing the matched parameter chain of the step 2 with real-time operation parameters of a cane sugar factory by an operation parameter comparison module (64) of scheduling decision software (6) on a command scheduling platform (4) to determine an execution parameter chain;
step 4, calculating the operation parameters of the execution parameter chain in the step 3 through a mathematical mechanism model by a scheduling decision module (65) of scheduling decision software (6) on a command scheduling platform (4) to obtain the regulation parameters of each production line working section, and then converting the regulation parameters into scheduling decision instructions for controlling the operation states of the corresponding production line working sections;
step 5, the command dispatching platform (4) issues the dispatching decision instruction in step 4 to the field control platform (1) through the OPC server (2);
and 6, controlling the running state of each production line working section by the field control platform (1) according to the scheduling decision instruction in the step 4, and completing the generation plan.
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| CN110412960B (en) * | 2019-08-22 | 2021-07-06 | 广东省生物工程研究所（广州甘蔗糖业研究所） | Intelligent squeezing and squeezing production management method and system for sugar refinery based on cloud computing |
| CN112346428A (en) * | 2020-11-24 | 2021-02-09 | 航天云网数据研究院(广东)有限公司 | Intelligent control method of product processing technology, cockpit and related equipment |
| CN113093668B (en) * | 2021-03-24 | 2022-06-03 | 中建材创新科技研究院有限公司 | Linkage adjustment method for intelligent production line of gypsum building materials |
| CN113093667B (en) * | 2021-03-24 | 2022-02-22 | 中建材创新科技研究院有限公司 | Intelligent monitoring system and method for intelligent production line of gypsum building materials |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202281949U (en) * | 2011-11-03 | 2012-06-20 | 广东轻工职业技术学院 | Data acquisition and information management system of production line |
| 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 |
| CN104122875A (en) * | 2014-08-01 | 2014-10-29 | 广西宏智科技有限公司 | Practical training centre for sugar manufacturing process control technology |
| CN104331770A (en) * | 2014-11-03 | 2015-02-04 | 叶校然 | Intelligent management system of flexible production enterprise |
| CN105045236A (en) * | 2015-07-21 | 2015-11-11 | 江苏云道信息技术有限公司 | Assembly line production scheduling method and system |
| CN205862190U (en) * | 2016-05-30 | 2017-01-04 | 广西南宁博斯特机械有限公司 | Sugar refinery dress envelope curve sugar bag intelligence point bag statistical monitoring system |
| CN106355312A (en) * | 2016-08-26 | 2017-01-25 | 广西宏智科技有限公司 | Intelligent material dispatching system based on large data in sugar factory |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI541751B (en) * | 2014-10-24 | 2016-07-11 | 力晶科技股份有限公司 | Automatic resource deliverying apparatus and method thereof |
-
2017
- 2017-07-14 CN CN201710574138.6A patent/CN107463152B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202281949U (en) * | 2011-11-03 | 2012-06-20 | 广东轻工职业技术学院 | Data acquisition and information management system of production line |
| 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 |
| CN104122875A (en) * | 2014-08-01 | 2014-10-29 | 广西宏智科技有限公司 | Practical training centre for sugar manufacturing process control technology |
| CN104331770A (en) * | 2014-11-03 | 2015-02-04 | 叶校然 | Intelligent management system of flexible production enterprise |
| CN105045236A (en) * | 2015-07-21 | 2015-11-11 | 江苏云道信息技术有限公司 | Assembly line production scheduling method and system |
| CN205862190U (en) * | 2016-05-30 | 2017-01-04 | 广西南宁博斯特机械有限公司 | Sugar refinery dress envelope curve sugar bag intelligence point bag statistical monitoring system |
| CN106355312A (en) * | 2016-08-26 | 2017-01-25 | 广西宏智科技有限公司 | Intelligent material dispatching system based on large data in sugar factory |
Non-Patent Citations (1)
| Title |
|---|
| "PCS7系统在糖厂全厂数据采集系统中的应用";徐宁 等;《甘蔗糖业》(第3期);第47-50页 * |
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