CN113435920A - Intelligent decision making system based on industrial big data - Google Patents
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Abstract
The invention relates to the technical field of intelligent decision-making systems, in particular to an intelligent decision-making system based on industrial big data; the intelligent decision-making system comprises a cloud server, a data processing unit, an intelligent decision-making unit, a scheme execution unit and an intelligent management unit; according to the invention, the market demand big data information of enterprise products is obtained, classification and analysis are carried out, the demand quantity of each classified product is predicted, the preset scheme is obtained, staff and production equipment are distributed, and the decision scheme is executed, so that the production quantity can be predicted according to the market demand condition, the problem that an industrial factory is difficult to master information on the market product demand in time is solved, each product is produced reasonably, the decision efficiency is improved, a manager can adjust the scheme, each product is produced reasonably, staff and equipment are allocated intelligently to produce, manual allocation is not needed, and the scheme execution efficiency is improved.
Description
Technical Field
The invention relates to the technical field of intelligent decision systems, in particular to an intelligent decision system based on industrial big data.
Background
Under the new trend of the revolution of industrial production and manufacturing technologies, along with the further advanced application of big data analysis and mining technologies, more and more manufacturing enterprises need intelligent processing in production. Particularly, with the development of networks, various types of data circulating on the networks are remarkably increased, and with the increase of data volume, how to effectively integrate the data so as to help enterprises make decisions quickly and accurately and improve work efficiency is a problem which needs to be solved urgently at present.
Although the decision system provided by the patent document has certain decision performance, the decision system provided by the patent document lacks a corresponding decision scheme, has low decision efficiency and single function, also lacks an intelligent allocation mode, and influences the performance of the decision system.
In summary, the development of an intelligent decision system based on industrial big data is still a key problem to be solved urgently in the technical field of intelligent decision systems.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an intelligent decision-making system based on industrial big data, a data processing unit of the system acquires market demand big data information of enterprise products by a cloud server, classifies and analyzes the market demands of the products according to enterprise product catalogues, predicts the demand quantity of each classified product, acquires a preset scheme, a manager checks related information, determines whether the decision-making scheme is executed, distributes employees and production equipment, executes the decision-making scheme, can predict the production quantity according to the market demand condition, solves the problem that an industrial manufacturer cannot grasp information of the market product demand in time, reasonably produces each product, adopts an intelligent processing mode in the decision-making process, improves the decision-making efficiency, and can also match the order information of each product with the inventory information of each product through an intelligent decision-making unit, the reasonable production of each product avoids the conditions that the product is too little produced and is difficult to deliver goods in time or too much produced and occupies warehouses and funds, intelligent allocation staff and equipment produce without manual allocation, the efficiency of executing the scheme is improved, and managers can input order information and product stock information through the information input module to update the order information and the stock information.
In order to achieve the purpose, the invention provides the following technical scheme:
an intelligent decision-making system based on industrial big data, comprising:
the cloud server is used for providing big data of industrial product demand conditions and is in signal connection with the Internet.
The data processing unit is used for acquiring market demand information of industrial products, classifying and analyzing the market information, and is electrically connected with the cloud server.
And the intelligent decision unit is matched with the stored scheme according to the market demand information, the inventory information and the signing order information of the industrial product and selects the decision scheme, and the intelligent decision unit is electrically connected with the scheme execution unit.
And the scheme execution unit allocates the staff and allocates the production equipment according to the acquired decision instruction.
And the intelligent management unit confirms whether to execute the decision scheme or not according to the obtained decision result and adjusts the decision scheme, and the intelligent management unit is electrically connected with the intelligent decision unit.
The invention is further configured to: the intelligent management unit is also used for inputting a predetermined scheme, industrial product inventory information and order information.
The invention is further configured to: the data processing unit comprises a data acquisition module, a data classification module and a data analysis module, wherein:
the data acquisition module is used for searching and acquiring enterprise product demand information from the cloud server.
The data classification module classifies the acquired product demand information according to the enterprise product classification catalogue, and is electrically connected with the data acquisition module.
The data analysis module expects the demand of each classified product according to the demand information of each classified product and the demand of the previous order, and the data analysis module is electrically connected with the data classification module.
The invention is further configured to: the intelligent decision unit comprises a decision matching module, a scheme storage module and a scheme acquisition module, wherein:
and the decision matching module matches the stored preset scheme according to the expected demand quantity, order signing quantity and storage quantity of each classified product and selects a product production scheme.
The scheme storage module is used for storing a preset scheme and is electrically connected with the decision matching module.
The scheme acquisition module is used for acquiring a preset scheme formulated by a manager, and the scheme acquisition module is electrically connected with the scheme storage module.
The invention is further configured to: the intelligent decision unit further comprises a storage information module, a decision output module and an order information module, wherein:
the storage information module is used for storing the inventory information of each classified product of the enterprise, and is electrically connected with the decision matching module.
The decision output module is used for outputting a decision instruction and is electrically connected with the decision matching module.
The order information module is used for storing order information of each product signed by an enterprise, and is electrically connected with the decision matching module.
The invention is further configured to: the scheme execution unit comprises a personnel allocation module and an equipment allocation module, wherein:
and the personnel allocation module allocates personnel to corresponding workshops for production according to the demand of each product in the decision scheme, and is electrically connected with the decision output module.
The equipment distribution module suspends production or dispatches production of urgent products according to the demand of each product in the decision-making scheme, and the equipment distribution module is electrically connected with the decision-making output module.
The invention is further configured to: the intelligent management unit comprises a decision display module, a decision confirmation module, an information input module and an information output module, wherein:
the decision display module is used for displaying decision information.
And the decision confirmation module is used for confirming whether to execute the matched decision scheme by a manager according to the displayed decision information, and is electrically connected with the decision display module.
The information entry module is used for a manager to enter a modified decision scheme and a preset scheme which is made in advance, and the information entry module is electrically connected with the decision display module.
The information output module is used for outputting the final decision scheme of each product, and the information output module is electrically connected with the decision display module.
The invention is further configured to: the information input module is also used for inputting the inventory information of each product and the order information of each product.
Advantageous effects
Compared with the known public technology, the technical scheme provided by the invention has the following beneficial effects:
the data processing unit of the invention obtains the market demand big data information of enterprise products by a cloud server, classifies the market demand of the products according to enterprise product catalogs, analyzes the classified product demand information and the prior product demand information, predicts the demand quantity of each classified product, the intelligent decision unit combines the analysis information with the order information and the inventory information of each product of the enterprise, matches with the stored preset scheme to obtain the preset scheme, and transmits the relevant information of the preset scheme to the intelligent management unit, the manager checks the relevant information to determine whether the decision scheme is executed, if the decision scheme is executed, the execution instruction is transmitted to the intelligent decision unit, the intelligent decision unit distributes the staff and the production equipment to execute the decision scheme, can predict the production quantity according to the market demand condition, and solves the problem that the industrial manufacturer is difficult to master the information on the market demand in time, the intelligent management system has the advantages that each product is reasonably produced, an intelligent processing mode is adopted in the decision making process, the decision making efficiency is improved, managers can match the order information of each product with the stock information of each product through the intelligent decision unit, each product is reasonably produced, the conditions that the products are too few in production, difficult to deliver in time or too much in production and occupy warehouses and funds are avoided, intelligent allocation staff and equipment produce without manual allocation, the scheme execution efficiency is improved, the managers can enter the order information and the product stock information through the information input module, and the order information and the stock information are updated.
Drawings
FIG. 1 is a system diagram of an intelligent decision making system based on industrial big data;
FIG. 2 is a system diagram of the interior of a data processing unit in an intelligent decision-making system based on industrial big data;
FIG. 3 is a system diagram of the interior of an intelligent decision unit in an industrial big data based intelligent decision system;
FIG. 4 is a system diagram of the inside of a scheme execution unit in an intelligent decision system based on industrial big data;
fig. 5 is a system diagram of the inside of an intelligent management unit in an intelligent decision system based on industrial big data.
The reference numbers in the figures illustrate:
1. a cloud server; 2. a data processing unit; 201. a data acquisition module; 202. a data classification module; 203. a data analysis module; 3. an intelligent decision unit; 301. a decision matching module; 302. a scheme storage module; 303. a scheme acquisition module; 304. a storage information module; 305. a decision output module; 306. an order information module; 4. a scheme execution unit; 401. a personnel allocation module; 402. an equipment allocation module; 5. an intelligent management unit; 501. a decision display module; 502. a decision confirmation module; 503. an information input module; 504. and an information output module.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention; it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and all other embodiments obtained by those skilled in the art without any inventive work are within the scope of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "top/bottom", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "disposed," "sleeved/connected," "connected," and the like are to be construed broadly, e.g., "connected," which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; the two components can be directly connected or indirectly connected through an intermediate medium, and the two components can be communicated with each other; the specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Examples
Referring to fig. 1-5, an intelligent decision-making system based on industrial big data includes:
the cloud server 1 is used for providing big data of industrial product demand conditions, and the cloud server 1 is in signal connection with the Internet.
The data processing unit 2, the data processing unit 2 are used for obtaining industrial product market demand information to classify and analyze the market information, and the data processing unit 2 is electrically connected with the cloud server 1.
And the intelligent decision unit 3 is used for matching the stored scheme according to the market demand information, the inventory information and the signing order information of the industrial product, selecting the decision scheme, and the intelligent decision unit 3 is electrically connected with the scheme execution unit 4.
And the scheme execution unit 4 allocates staff and allocates production equipment according to the obtained decision instruction.
And the intelligent management unit 5 determines whether to execute the decision scheme and adjusts the decision scheme according to the obtained decision result, and the intelligent management unit 5 is electrically connected with the intelligent decision unit 3.
The intelligent management unit 5 is also used for entering a predetermined scheme, industrial product inventory information and order information.
The invention relates to a data processing unit 2, which obtains market demand big data information of enterprise products by a cloud server 1, classifies the market demands of the products according to enterprise product catalogs, analyzes the classified product demand information and the past product demand information, predicts the demand quantity of each classified product, an intelligent decision unit 3 combines the analysis information with the order information and the inventory information of each product of the enterprise, matches the analysis information with a stored preset scheme to obtain a preset scheme, transmits the related information of the preset scheme to an intelligent management unit 5, a manager checks the related information to determine whether the decision scheme is executed, such as the decision scheme, transmits an execution instruction to the intelligent decision unit 3, the intelligent decision unit distributes staff and production equipment, executes the decision scheme, can predict the production quantity according to the market demand condition, the problem that an industrial manufacturer is difficult to timely master information of market product demands is solved, products are reasonably produced, an intelligent processing mode is adopted in a decision making process, decision making efficiency is improved, managers can also match the order information of the products with the stock information of the products through the intelligent decision unit 3, the products are reasonably produced, and the conditions that the products are too few in production, difficult to deliver in time or too much in production, and warehouse and fund are occupied are avoided.
The data processing unit 2 comprises a data acquisition module 201, a data classification module 202 and a data analysis module 203, wherein:
the data obtaining module 201 is configured to search and obtain enterprise product demand information from the cloud server 1.
The data classification module 202 classifies the acquired product demand information according to the enterprise product classification catalog, and the data classification module 202 is electrically connected with the data acquisition module 201.
The data analysis module 203 expects the demand of each classified product according to the demand information of each classified product and the past order demand, and the data analysis module 203 is electrically connected with the data classification module 202.
According to the invention, the data acquisition module 201 is used for acquiring the demand information of each product in the market, the acquired information is transmitted to the data classification module 202, the data classification module 202 classifies the acquired information according to the demand information of each product of an enterprise, the classified information is transmitted to the data analysis module 203, the data analysis module 203 analyzes the classified information, the demand of each product is predicted, the acquired information is intelligently extracted, and the accuracy of matching of subsequent schemes is ensured.
The intelligent decision unit 3 comprises a decision matching module 301, a scheme storage module 302 and a scheme acquisition module 303, wherein:
the decision matching module 301 matches the stored predetermined scheme according to the expected demand, order signing amount and storage amount of each classified product, and selects a product production scheme.
The scheme storage module 302 is used for storing a preset scheme, and the scheme storage module 302 is electrically connected with the decision matching module 301.
The scheme obtaining module 303 is configured to obtain a predetermined scheme formulated by a manager, and the scheme obtaining module 303 is electrically connected to the scheme storing module 302.
The intelligent decision unit 3 further comprises a storage information module 304, a decision output module 305 and an order information module 306, wherein:
the information storage module 304 is used for storing inventory information of each classified product of the enterprise, and the information storage module 304 is electrically connected with the decision matching module 301.
The decision output module 305 is configured to output a decision instruction, and the decision output module 305 is electrically connected to the decision matching module 301.
The order information module 306 is used for storing order information of each product signed by the enterprise, and the order information module 306 is electrically connected with the decision matching module 301.
The decision matching module 301 of the present invention combines the acquired predicted demand of each product with the order information and the product inventory information, matches the obtained predicted demand with the stored predetermined scheme to obtain a corresponding predetermined scheme, and transmits the predetermined scheme to the intelligent management unit 5 to determine whether to execute the predetermined scheme.
The plan execution unit 4 includes a personnel deployment module 401 and an equipment allocation module 402, wherein:
the staff allocating module 401 allocates staff to corresponding workshops for production according to the demand of each product in the decision scheme, and the staff allocating module 401 is electrically connected with the decision output module 305.
The equipment allocation module 402 suspends production or reassigns production of the products in need thereof according to the demand of each product in the decision-making scheme, and the equipment allocation module 402 is electrically connected with the decision output module 305.
After the personnel allocation module 401 and the equipment allocation module 402 receive the scheme instruction of the intelligent decision unit 3, the personnel allocation module 401 and the equipment allocation module 402 allocate the staff and the equipment to produce according to the scheme condition, manual allocation is not needed, and the scheme execution efficiency is improved.
The intelligent management unit 5 comprises a decision display module 501, a decision confirmation module 502, an information entry module 503 and an information output module 504, wherein:
the decision display module 501 is used for displaying decision information.
The decision confirmation module 502 is configured to confirm whether to execute the matched decision scheme by the administrator according to the displayed decision information, and the decision confirmation module 502 is electrically connected to the decision display module 501.
The information entry module 503 is used for the manager to enter a modified decision scheme and a predetermined scheme made in advance, and the information entry module 503 is electrically connected with the decision display module 501.
The information output module 504 is used for outputting the final decision scheme of each product, and the information output module 504 is electrically connected with the decision display module 501.
The information entry module 503 is also used for entering inventory information of each product and order information of each product.
After the intelligent management unit 5 acquires the preset scheme, the content of the preset scheme is displayed through the decision display module 501, a manager determines whether to execute the preset scheme according to the enterprise operation condition, when the preset scheme is executed, the decision confirmation module 502 confirms, the intelligent decision unit 3 sends an execution instruction to the scheme execution unit 4 after obtaining the confirmation information, when the manager needs to adjust the execution scheme, the revised preset scheme can be input through the information input module 503, then the execution instruction is sent through the intelligent decision unit 3, the executed scheme can be output and stored through the information output module 504, the manager can adjust the execution scheme, and the manager can also input order information and product inventory information through the information input module 503 to update the order information and the inventory information.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (8)
1. An intelligent decision making system based on industrial big data, which is characterized by comprising:
the cloud server (1), the cloud server (1) is used for providing big data of industrial product demand conditions, and the cloud server (1) is in signal connection with the Internet;
the data processing unit (2) is used for acquiring market demand information of industrial products, classifying and analyzing the market information, and the data processing unit (2) is electrically connected with the cloud server (1);
the intelligent decision unit (3) is matched with the stored scheme according to the market demand information, the inventory information and the order signing information of the industrial product, and selects a decision scheme, and the intelligent decision unit (3) is electrically connected with the scheme execution unit (4);
the scheme execution unit (4) allocates staff and allocates production equipment according to the acquired decision instruction;
and the intelligent management unit (5) confirms whether to execute the decision scheme or not according to the obtained decision result, and adjusts the decision scheme, and the intelligent management unit (5) is electrically connected with the intelligent decision unit (3).
2. An intelligent decision making system based on industrial big data according to claim 1, characterized in that the intelligent management unit (5) is also used to enter reservation schemes, industrial product inventory information and order information.
3. An intelligent industrial big data-based decision making system according to claim 1, wherein the data processing unit (2) comprises a data acquisition module (201), a data classification module (202) and a data analysis module (203), wherein:
the data acquisition module (201) is used for searching and acquiring enterprise product demand information from the cloud server (1);
the data classification module (202) classifies the acquired product demand information according to the enterprise product classification catalogue, and the data classification module (202) is electrically connected with the data acquisition module (201);
the data analysis module (203) expects the demand of each classified product according to the demand information of each classified product and the past order demand, and the data analysis module (203) is electrically connected with the data classification module (202).
4. An intelligent industrial big data-based decision making system according to claim 1, wherein said intelligent decision making unit (3) comprises a decision matching module (301), a scenario storage module (302) and a scenario acquisition module (303), wherein:
the decision matching module (301) matches with a stored preset scheme according to the expected demand quantity, order signing quantity and storage quantity of each classified product, and selects a product production scheme;
the scheme storage module (302) is used for storing a set preset scheme, and the scheme storage module (302) is electrically connected with the decision matching module (301);
the scheme acquisition module (303) is used for acquiring a preset scheme formulated by a manager, and the scheme acquisition module (303) is electrically connected with the scheme storage module (302).
5. An intelligent industrial big data-based decision making system according to claim 4, wherein the intelligent decision making unit (3) further comprises a storage information module (304), a decision output module (305) and an order information module (306), wherein:
the storage information module (304) is used for storing inventory information of each classified product of an enterprise, and the storage information module (304) is electrically connected with the decision matching module (301);
the decision output module (305) is used for outputting a decision instruction, and the decision output module (305) is electrically connected with the decision matching module (301);
the order information module (306) is used for storing order information of each product signed by an enterprise, and the order information module (306) is electrically connected with the decision matching module (301).
6. An intelligent decision-making system based on industrial big data according to claim 5, characterized in that the solution execution unit (4) comprises a personnel deployment module (401) and an equipment allocation module (402), wherein:
the staff allocation module (401) allocates staff to corresponding workshops for production according to the demand of each product in the decision scheme, and the staff allocation module (401) is electrically connected with the decision output module (305);
the equipment allocation module (402) suspends production or reassigns production of the urgent need products according to the demand of each product in the decision-making scheme, and the equipment allocation module (402) is electrically connected with the decision output module (305).
7. An intelligent industrial big data-based decision-making system according to claim 1, wherein the intelligent management unit (5) comprises a decision display module (501), a decision confirmation module (502), an information entry module (503) and an information output module (504), wherein:
the decision display module (501) is used for displaying decision information;
the decision confirming module (502) confirms whether to execute the matched decision scheme by a manager according to the displayed decision information, and the decision confirming module (502) is electrically connected with the decision display module (501);
the information entry module (503) is used for a manager to enter a modified decision scheme and a preset scheme which is made in advance, and the information entry module (503) is electrically connected with the decision display module (501);
the information output module (504) is used for outputting the final decision scheme of each product, and the information output module (504) is electrically connected with the decision display module (501).
8. The intelligent industrial big data-based decision making system according to claim 7, wherein the information entry module (503) is further used for entering inventory information of each product and order information of each product.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114612127A (en) * | 2022-01-27 | 2022-06-10 | 上海汉得信息技术股份有限公司 | Big data-based ERP (Enterprise resource planning) information system construction method |
| CN116029799A (en) * | 2023-03-27 | 2023-04-28 | 山东恒远智能科技有限公司 | Micro-service architecture management platform based on intelligent decision |
-
2021
- 2021-05-24 CN CN202110562334.8A patent/CN113435920A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114612127A (en) * | 2022-01-27 | 2022-06-10 | 上海汉得信息技术股份有限公司 | Big data-based ERP (Enterprise resource planning) information system construction method |
| CN116029799A (en) * | 2023-03-27 | 2023-04-28 | 山东恒远智能科技有限公司 | Micro-service architecture management platform based on intelligent decision |
| CN116029799B (en) * | 2023-03-27 | 2023-06-06 | 山东恒远智能科技有限公司 | Micro-service architecture management platform based on intelligent decision |
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