CN114742540A - Intelligent manufacturing management system - Google Patents
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Abstract
The invention discloses an intelligent manufacturing management system, which comprises a collecting unit, a distribution unit, a manufacturing unit, a transfer unit and a cloud management unit, wherein the collecting unit is used for collecting and distributing data; the acquisition unit is used for acquiring production information; the distribution unit is used for dispatching raw materials for production according to the production information; the manufacturing unit is used for producing according to the allocated raw materials; the transfer unit is used for transferring raw materials to the manufacturing unit and transferring products produced by the manufacturing unit to a warehouse; the cloud management unit is used for generating production information and controlling the coordinated operation of the allocation unit, the manufacturing unit and the transfer unit according to the production information; the cloud management unit is used for performing unified coordination management on each unit, monitoring and managing the parameters of the product in each production process, greatly improving the production speed of the product, and realizing remote operation to control the production of the product.
Description
Technical Field
The invention relates to the technical field of big data and intelligent manufacturing, in particular to an intelligent manufacturing management system.
Background
The small and medium enterprises in the machining industry mainly adopt discrete manufacturing of single-piece and small-batch production. Since the processes of the products are frequently changed, they need to have good planning ability. In addition, for enterprises which organize production according to orders, the production requirements are greatly uncertain, so that a good production planning system is needed for purchasing and planning a production workshop, and a computer is particularly needed to participate in the work of the planning system; in a certain-sized enterprise, various computer management software, such as Enterprise Resource Planning (ERP), Manufacturing Execution System (MES), Equipment Management System (EMS), etc., is generally used to assist management. However, the one-time investment cost, time and continuous investment in operation and maintenance of these systems are burdensome for medium and small enterprises. At the same time, there is insufficient ability for these enterprises to select the appropriate system integrator and to complete the system on-line and ongoing operation and maintenance work with them. In addition, for these enterprises, often only a few functions of these systems are needed, and the business complexity and performance requirements of hardware devices caused by excessive redundant functions are the cost of the enterprises.
While the intelligent manufacturing is from the research of artificial intelligence. Intelligence is generally considered to be the sum of knowledge, which is the basis of intelligence, and intelligence, which is the ability to acquire and apply knowledge to solve. The intelligent manufacturing system not only can continuously enrich a knowledge base in practice, but also has a self-learning function, and also has the capability of collecting and understanding environmental information and self information, analyzing, judging and planning self behaviors.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the manufacturing management system in the prior art has the problem that the production process of a product cannot be accurately arranged.
In order to solve the above technical problem, the present invention provides an intelligent manufacturing management system, including: the system comprises a collecting unit, a distribution unit, a manufacturing unit, a transferring unit and a cloud management unit;
the acquisition unit is used for acquiring production information;
the distribution unit is used for distributing raw materials for production according to the production information;
the manufacturing unit is used for producing according to the dispatched raw materials;
the transfer unit is used for transferring raw materials to the manufacturing unit and transferring products produced by the manufacturing unit to a warehouse;
the cloud management unit is used for generating production information and controlling the coordinated operation of the distribution unit, the manufacturing unit and the transfer unit according to the production information.
In an embodiment of the present application, there is provided an intelligent manufacturing management system, the cloud management unit including:
the cloud database is used for storing the information which is acquired by the acquisition unit and is required by the production;
the cloud processing module is used for calculating and processing production information;
and the cloud control module is used for controlling the distribution unit according to the processed information required by production, and the manufacturing unit and the transferring unit are used for carrying out production and distribution management on the product.
In an embodiment of the present application, an intelligent manufacturing management system is provided, where the acquisition unit is configured to acquire a planned production quantity Δ G in real time, and the cloud control module is configured to control the allocation unit;
the data cloud processing module is used for setting a standard plan production quantity preset value G0, and is also used for setting a first preset plan production quantity difference G1, a second preset plan production quantity difference G2, a third preset plan production quantity difference G3 and a fourth preset plan production quantity difference G4, wherein G1 is greater than G2 and G3 is greater than G4; the data cloud processing module is further used for setting a first preset working condition matrix A1 (a 1, b 1), a second preset working condition matrix A2 (a 2, b 2), a third preset working condition matrix A3 (A3, b 3) and a fourth preset working condition matrix A4 (a 4, b 4), wherein a 1-a 4 sequentially correspond to first to fourth preset batching rates, a1 < a2 < A3 < a4, b 1-b 4 sequentially correspond to first to fourth preset raw material transfer periods, and b1 < b2 < b3 < b 4;
selecting a preset working condition matrix A as a working condition of the allocation unit according to a difference value between the real-time collection plan production quantity delta G and a preset standard plan production quantity value G0;
when the delta G-G0 is not less than G1, selecting the first preset working condition matrix A1 as the working condition of the distribution unit;
when G1 & lt delta G-G0 & lt G2, selecting the second preset working condition matrix A2 as the working condition of the distribution unit;
when G2 <. DELTA.G-G0 ≦ G3, selecting the third preset working condition matrix A3 as the working condition of the allocating unit;
when G3 <. DELTA.G-G0 ≦ G4, selecting the fourth preset working condition matrix A4 as the working condition of the allocating unit;
when the ith preset working condition matrix Ai is selected as the working condition of the dosing unit, the cloud control module controls the dosing unit to work at the ith preset dosing rate Ai, and sets the injection time of the dosing unit as the ith preset raw material transfer period bi, i =1, 2, 3, 4.
In an embodiment of the present application, an intelligent manufacturing management system is provided, where the data cloud processing module is further configured to set a first preset blending quantity T1, a second preset blending quantity T2, a third preset blending quantity T3, and a fourth preset blending quantity T4, where T1 < T2 < T3 < T4; the data cloud processing module is further used for setting a first preset correction coefficient m1, a second preset correction coefficient m2, a third preset correction coefficient m3 and a fourth preset correction coefficient m4, wherein m1 is more than 0.8, m2 is more than m3, m4 is more than 1;
the data cloud processing module is further configured to select a preset correction coefficient according to a relationship between the real-time ingredient quantity Δ T and each preset ingredient quantity T to correct the working condition in the ith preset working condition matrix Ai when the ith preset working condition matrix Ai is selected as the working condition of the allocating unit:
when the delta T is less than or equal to T1, not correcting the working condition in the ith preset working condition matrix Ai;
when T1 is smaller than delta T and smaller than T2, selecting the first preset correction coefficient m1 to correct Ai to obtain Ai (Ai m1, bi m 1);
when T2 is smaller than delta T and smaller than T3, selecting the second preset correction coefficient m2 to correct Ai to obtain Ai (Ai m2, bi m 2);
when T3 is smaller than delta T and smaller than T4, selecting the third preset correction coefficient m3 to correct Ai to obtain Ai (Ai m3, bi m 3);
when T4 <. DELTA.T, the fourth preset correction coefficient m4 is selected to correct Ai to be Ai (Ai m4, bi m 4).
In an embodiment of the present application, an intelligent manufacturing management system is provided, wherein the slave collecting unit is further configured to collect a raw material transfer quantity Δ S in real time, and the cloud control unit is configured to control the manufacturing unit;
the data cloud processing module is used for setting a standard raw material transfer quantity preset value S0, and is also used for setting a first preset raw material transfer quantity difference value S1, a second preset raw material transfer quantity difference value S2, a third preset raw material transfer quantity difference value S3 and a fourth preset raw material transfer quantity difference value S4, wherein S1 is larger than S2 and smaller than S3 and smaller than S4; the data cloud processing module is further used for setting a first preset working condition matrix B1 (c 1, d 1), a second preset working condition matrix B2 (c 2, d 2), a third preset working condition matrix B3 (c 3, d 3) and a fourth preset working condition matrix B4 (c 4, d 4), wherein c1 to c4 sequentially represent first to fourth preset product production rates, c1 is greater than c2 and is greater than c3 and is less than c4, d1 to d4 sequentially represent first to fourth preset product production periods, and d1 is greater than d2 is greater than d3 and is less than d 4;
selecting a preset working condition matrix B as the working condition of the manufacturing unit according to the difference value between the real-time collected raw material transferring quantity delta S and a preset value S0 of the set standard raw material transferring quantity;
when the delta S-S0 is not more than S1, selecting the first preset working condition matrix B1 as the working condition of the manufacturing unit;
when S1 < [ delta ] S-S0 ≦ S2, selecting the second preset operating condition matrix B2 as the operating condition of the manufacturing unit;
when S2 < [ delta ] S-S0 ≦ S3, selecting the third preset operating condition matrix B3 as the operating condition of the manufacturing unit;
when S3 <. DELTA.S-S0 ≦ S4, selecting the fourth pre-set operating condition matrix B4 as the operating condition for the manufacturing unit;
when the ith preset working condition matrix Bi is selected as the working condition of the manufacturing unit, the cloud control module controls the manufacturing unit to work at the ith preset product production rate ci, and sets the product production period of the manufacturing unit to be the ith preset product production period di, i =1, 2, 3, 4.
In an embodiment of the present application, an intelligent manufacturing management system is provided, where the data cloud processing module is further configured to set a first preset product transfer quantity N1, a second preset product transfer quantity N2, a third preset product transfer quantity N3, and a fourth preset product transfer quantity N4, where N1 < N2 < N3 < N4; the data cloud processing module is further used for setting a first preset correction coefficient n1, a second preset correction coefficient n2, a third preset correction coefficient n3 and a fourth preset correction coefficient n4, wherein n1 is more than 0.8 and more than n2 and more than n3 and more than n4 and less than 1;
the acquisition unit is further used for acquiring the product transfer quantity delta N in real time, and the data cloud processing module is further used for selecting a preset correction coefficient according to the relation between the real-time product transfer quantity delta N and each preset product transfer quantity N to correct the working condition in the ith preset working condition matrix Bi when the ith preset working condition matrix Bi is selected as the working condition of the manufacturing unit:
when the delta N is less than or equal to N1, not correcting the working condition in the ith preset working condition matrix Bi;
when N1 is smaller than delta N and smaller than N2, the first preset correction coefficient N1 is selected to correct Bi to obtain Bi (ci N1, di N1);
when N2 is smaller than delta N and smaller than N3, selecting the second preset correction coefficient N2 to correct Bi to obtain Bi (ci N2, di N2);
when N3 is smaller than delta N and smaller than N4, selecting the third preset correction coefficient N3 to correct Bi to obtain Bi (ci N3, di N3);
when N4 is less than Δ N, the fourth predetermined correction coefficient N4 is selected to correct Bi to Bi (ci × N4, di × N4).
In an embodiment of the present application, an intelligent manufacturing management system is provided, where parameters such as a type of product production, a number of product production, a parameter of product production, and a period of product production are stored in the cloud database.
In an embodiment of the present application, there is provided an intelligent manufacturing management system, further comprising a graphical visualization system;
the graphical visual system is used for graphically displaying various data of the acquisition unit, the distribution unit, the manufacturing unit, the transfer unit and the cloud management unit.
In an embodiment of the present application, there is provided an intelligent manufacturing management system in which data transmission is performed by a WLAN data transmission device.
Compared with the prior art, the intelligent manufacturing management system has the beneficial effects that:
this management system is made to intelligence, through cloud management unit with mill and mill, mill and enterprise, industrial manufacturing and consumer interconnect, realize making information sharing, make the mill that production facility is in idle period can obtain the sufficient order through sharing cloud platform to carry out accurate control and management to the production information of whole production process, make production efficiency improve greatly.
Drawings
FIG. 1 is a schematic diagram of an intelligent manufacturing management system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a cloud management unit of the intelligent manufacturing management system in the embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
In the description of the present application, it is to be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience in describing the present application and simplifying the description, but do not indicate or imply that the referred device or element must have a particular orientation, be constructed in a particular orientation, and be operated, and thus should not be construed as limiting the present application.
The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless otherwise specified.
In the description of the present application, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
In an embodiment of the present application, there is provided an intelligent manufacturing management system, including: the system comprises a collecting unit, a distribution unit, a manufacturing unit, a transferring unit and a cloud management unit;
the acquisition unit is used for acquiring production information;
the distribution unit is used for distributing raw materials for production according to the production information;
the manufacturing unit is used for producing according to the dispatched raw materials;
the transfer unit is used for transferring the raw materials to the manufacturing unit and transferring the products produced by the manufacturing unit to a warehouse;
the cloud management unit is used for generating production information and controlling the coordinated operation of the distribution unit, the manufacturing unit and the transfer unit according to the production information.
Furthermore, through the mutual communication and cooperation of the cloud management unit, the acquisition unit, the allocation unit, the manufacturing unit and the transfer unit, the whole production process can be remotely controlled and the production efficiency can be improved.
In an embodiment of the present application, there is provided an intelligent manufacturing management system, the cloud management unit including:
the cloud database is used for storing the information which is acquired by the acquisition unit and is required by the production;
the cloud processing module is used for calculating and processing production information;
and the cloud control module is used for controlling the distribution unit according to the processed information required by production, and the manufacturing unit and the transferring unit are used for carrying out production and distribution management on the product.
Furthermore, through interconnection and intercommunication of the cloud platform, information required by production and information processing can be remotely controlled, labor force of a factory is liberated, and information intercommunication among factories is improved.
In an embodiment of the present application, an intelligent manufacturing management system is provided, where the acquisition unit is configured to acquire a planned production quantity Δ G in real time, and the cloud control module is configured to control the allocation unit;
the data cloud processing module is used for setting a standard plan production quantity preset value G0, and is also used for setting a first preset plan production quantity difference G1, a second preset plan production quantity difference G2, a third preset plan production quantity difference G3 and a fourth preset plan production quantity difference G4, wherein G1 is greater than G2 and G3 is greater than G4; the data cloud processing module is further used for setting a first preset working condition matrix A1 (a 1, b 1), a second preset working condition matrix A2 (a 2, b 2), a third preset working condition matrix A3 (A3, b 3) and a fourth preset working condition matrix A4 (a 4, b 4), wherein a 1-a 4 sequentially comprise first to fourth preset proportioning rates, a1 < a2 < A3 < a4, b 1-b 4 sequentially comprise first to fourth preset raw material transfer periods, and b1 < b2 < b3 < b 4;
selecting a preset working condition matrix A as a working condition of the allocating unit according to a difference value between the real-time collection plan production quantity delta G and a preset standard plan production quantity value G0;
when the delta G-G0 is not less than G1, selecting the first preset working condition matrix A1 as the working condition of the distribution unit;
when G1 <. DELTA.G-G0 ≦ G2, selecting the second preset working condition matrix A2 as the working condition of the allocating unit;
when G2 <. DELTA.G-G0 ≦ G3, selecting the third preset working condition matrix A3 as the working condition of the allocating unit;
when G3 <. DELTA.G-G0 ≦ G4, selecting the fourth preset working condition matrix A4 as the working condition of the allocating unit;
when the ith preset working condition matrix Ai is selected as the working condition of the dosing unit, the cloud control module controls the dosing unit to work at the ith preset dosing rate Ai, and sets the injection time of the dosing unit as the ith preset raw material transfer period bi, i =1, 2, 3, 4.
Furthermore, the operation of the real-time distribution unit is adjusted according to the plan information acquired in real time, so that the distribution unit can be adjusted at any time according to the production information, and the management efficiency is improved.
In an embodiment of the present application, an intelligent manufacturing management system is provided, where the data cloud processing module is further configured to set a first preset blending quantity T1, a second preset blending quantity T2, a third preset blending quantity T3, and a fourth preset blending quantity T4, where T1 < T2 < T3 < T4; the data cloud processing module is further used for setting a first preset correction coefficient m1, a second preset correction coefficient m2, a third preset correction coefficient m3 and a fourth preset correction coefficient m4, wherein m1 is more than 0.8 and more than m2 is more than m3 and more than m4 is less than 1;
the acquisition unit is further used for acquiring a batching quantity delta T in real time, and the data cloud processing module is further used for selecting a preset correction coefficient according to the relation between the real-time batching quantity delta T and each preset batching quantity T to correct the working condition in the ith preset working condition matrix Ai when the ith preset working condition matrix Ai is selected as the working condition of the allocation unit:
when the delta T is less than or equal to T1, not correcting the working condition in the ith preset working condition matrix Ai;
when T1 is smaller than delta T and smaller than T2, selecting the first preset correction coefficient m1 to correct Ai to obtain Ai (Ai m1, bi m 1);
when T2 is smaller than delta T and smaller than T3, selecting the second preset correction coefficient m2 to correct Ai to obtain Ai (Ai m2, bi m 2);
when T3 is smaller than delta T and smaller than T4, selecting the third preset correction coefficient m3 to correct Ai to obtain Ai (Ai m3, bi m 3);
when T4 <. DELTA.T, the fourth preset correction coefficient m4 is selected to correct Ai to be Ai (Ai m4, bi m 4).
Furthermore, small errors always occur in the work of the distribution unit, and the collection unit collects the quantity of the distributed raw materials in real time to adjust the work of the real-time distribution unit so as to reduce the production errors of the distribution unit.
In an embodiment of the present application, there is provided an intelligent manufacturing management system, wherein the slave collecting unit is further configured to collect a raw material transfer amount Δ S in real time, and the cloud control unit is configured to control the manufacturing unit;
the data cloud processing module is used for setting a standard raw material transfer quantity preset value S0, and is also used for setting a first preset raw material transfer quantity difference value S1, a second preset raw material transfer quantity difference value S2, a third preset raw material transfer quantity difference value S3 and a fourth preset raw material transfer quantity difference value S4, wherein S1 is larger than S2 and smaller than S3 and smaller than S4; the data cloud processing module is further used for setting a first preset working condition matrix B1 (c 1, d 1), a second preset working condition matrix B2 (c 2, d 2), a third preset working condition matrix B3 (c 3, d 3) and a fourth preset working condition matrix B4 (c 4, d 4), wherein c1 to c4 sequentially represent first to fourth preset product production rates, c1 is greater than c2 and is greater than c3 and is less than c4, d1 to d4 sequentially represent first to fourth preset product production periods, and d1 is greater than d2 is greater than d3 and is less than d 4;
selecting a preset working condition matrix B as the working condition of the manufacturing unit according to the difference value between the real-time collected raw material transferring quantity delta S and a preset value S0 of the set standard raw material transferring quantity;
when the delta S-S0 is not more than S1, selecting the first preset working condition matrix B1 as the working condition of the manufacturing unit;
when S1 < [ delta ] S-S0 ≦ S2, selecting the second preset operating condition matrix B2 as the operating condition of the manufacturing unit;
when S2 < [ delta ] S-S0 ≦ S3, selecting the third preset operating condition matrix B3 as the operating condition of the manufacturing unit;
when S3 <. DELTA.S-S0 ≦ S4, selecting the fourth pre-set operating condition matrix B4 as the operating condition for the manufacturing unit;
when the ith preset working condition matrix Bi is selected as the working condition of the manufacturing unit, the cloud control module controls the manufacturing unit to work at the ith preset product production rate ci, and sets the product production period of the manufacturing unit to be the ith preset product production period di, i =1, 2, 3, 4.
Furthermore, the working condition of the manufacturing unit is determined by the ingredients transferred in real time, so that the manufacturing unit does not waste redundant production time, the production efficiency is improved, and the product is ensured to be produced quickly.
In an embodiment of the present application, an intelligent manufacturing management system is provided, where the data cloud processing module is further configured to set a first preset product transfer quantity N1, a second preset product transfer quantity N2, a third preset product transfer quantity N3, and a fourth preset product transfer quantity N4, where N1 < N2 < N3 < N4; the data cloud processing module is further used for setting a first preset correction coefficient n1, a second preset correction coefficient n2, a third preset correction coefficient n3 and a fourth preset correction coefficient n4, wherein n1 is more than 0.8 and more than n2 and more than n3 and more than n4 and less than 1;
the acquisition unit is further used for acquiring the product transfer quantity delta N in real time, and the data cloud processing module is further used for selecting a preset correction coefficient according to the relation between the real-time product transfer quantity delta N and each preset product transfer quantity N to correct the working condition in the ith preset working condition matrix Bi when the ith preset working condition matrix Bi is selected as the working condition of the manufacturing unit:
when the delta N is less than or equal to N1, not correcting the working condition in the ith preset working condition matrix Bi;
when N1 <. DELTA.N is less than or equal to N2, selecting the first preset correction coefficient N1 to correct Bi to obtain Bi (ci x N1, di x N1);
when N2 is smaller than delta N and smaller than N3, selecting the second preset correction coefficient N2 to correct Bi to obtain Bi (ci N2, di N2);
when N3 <. DELTA.N is less than or equal to N4, selecting the third preset correction coefficient N3 to correct Bi to obtain Bi (ci x N3, di x N3);
when N4 is less than Δ N, the fourth predetermined correction coefficient N4 is selected to correct Bi to Bi (ci × N4, di × N4).
Furthermore, the manufacturing unit can guarantee a normal production process and reduce working errors of the manufacturing unit through real-time correction of the manufacturing unit.
In an embodiment of the present application, an intelligent manufacturing management system is provided, where parameters such as types of product production, numbers of product production, parameters of product production, and periods of product production are stored in the cloud database.
In an embodiment of the present application, there is provided an intelligent manufacturing management system, further comprising a graphical visualization system;
the graphical visual system is used for graphically displaying various data of the acquisition unit, the distribution unit, the manufacturing unit, the transfer unit and the cloud management unit.
In an embodiment of the present application, there is provided an intelligent manufacturing management system in which data transmission is performed by a WLAN data transmission device.
To sum up, the embodiment of the invention provides an intelligent manufacturing management system, which comprises a collection unit, a distribution unit, a manufacturing unit, a transfer unit and a cloud management unit; the acquisition unit is used for acquiring production information; the distribution unit is used for dispatching raw materials for production according to the production information; the manufacturing unit is used for producing according to the allocated raw materials; the transfer unit is used for transferring raw materials to the manufacturing unit and transferring products produced by the manufacturing unit to a warehouse; the cloud management unit is used for generating production information and controlling the coordinated operation of the allocation unit, the manufacturing unit and the transfer unit according to the production information; the cloud management unit is used for carrying out unified coordination management on each unit, monitoring and managing the parameters of the product in each production process, greatly improving the production speed of the product, and realizing remote operation to control the production of the product.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that various changes, modifications and substitutions can be made without departing from the spirit and scope of the invention as defined by the appended claims. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. An intelligent manufacturing management system, comprising: the system comprises a collecting unit, a distribution unit, a manufacturing unit, a transferring unit and a cloud management unit;
the acquisition unit is used for acquiring production information;
the distribution unit is used for distributing raw materials for production according to the production information;
the manufacturing unit is used for producing according to the dispatched raw materials;
the transfer unit is used for transferring raw materials to the manufacturing unit and transferring products produced by the manufacturing unit to a warehouse;
the cloud management unit is used for generating production information and controlling the coordinated operation of the distribution unit, the manufacturing unit and the transfer unit according to the production information.
2. The intelligent manufacturing management system according to claim 1, wherein the cloud management unit includes:
the cloud database is used for storing the information which is acquired by the acquisition unit and is required by the production;
the cloud processing module is used for calculating and processing production information;
and the cloud control module is used for controlling the distribution unit according to the processed information required by production, and the manufacturing unit and the transferring unit are used for carrying out production and distribution management on the product.
3. The intelligent manufacturing management system of claim 2,
the acquisition unit is used for acquiring planned production quantity delta G in real time, and the cloud control module is used for controlling the allocation unit;
the data cloud processing module is used for setting a standard plan production quantity preset value G0, and is also used for setting a first preset plan production quantity difference G1, a second preset plan production quantity difference G2, a third preset plan production quantity difference G3 and a fourth preset plan production quantity difference G4, wherein G1 is greater than G2 and G3 is greater than G4; the data cloud processing module is further used for setting a first preset working condition matrix A1 (a 1, b 1), a second preset working condition matrix A2 (a 2, b 2), a third preset working condition matrix A3 (A3, b 3) and a fourth preset working condition matrix A4 (a 4, b 4), wherein a 1-a 4 sequentially correspond to first to fourth preset batching rates, a1 < a2 < A3 < a4, b 1-b 4 sequentially correspond to first to fourth preset raw material transfer periods, and b1 < b2 < b3 < b 4;
selecting a preset working condition matrix A as a working condition of the allocation unit according to a difference value between the real-time collection plan production quantity delta G and a preset standard plan production quantity value G0;
when the delta G-G0 is not less than G1, selecting the first preset working condition matrix A1 as the working condition of the distribution unit;
when G1 & lt delta G-G0 & lt G2, selecting the second preset working condition matrix A2 as the working condition of the distribution unit;
when G2 <. DELTA.G-G0 ≦ G3, selecting the third preset working condition matrix A3 as the working condition of the allocating unit;
when G3 <. DELTA.G-G0 ≦ G4, selecting the fourth preset working condition matrix A4 as the working condition of the allocating unit;
when the ith preset working condition matrix Ai is selected as the working condition of the dosing unit, the cloud control module controls the dosing unit to work at the ith preset dosing rate Ai, and sets the injection time of the dosing unit as the ith preset raw material transfer period bi, i =1, 2, 3, 4.
4. The intelligent manufacturing management system of claim 3,
the data cloud processing module is further used for setting a first preset ingredient quantity T1, a second preset ingredient quantity T2, a third preset ingredient quantity T3 and a fourth preset ingredient quantity T4, wherein T1 is more than T2 and more than T3 and more than T4; the data cloud processing module is further used for setting a first preset correction coefficient m1, a second preset correction coefficient m2, a third preset correction coefficient m3 and a fourth preset correction coefficient m4, wherein m1 is more than 0.8 and more than m2 is more than m3 and more than m4 is less than 1;
the data cloud processing module is further configured to select a preset correction coefficient according to a relationship between the real-time ingredient quantity Δ T and each preset ingredient quantity T to correct the working condition in the ith preset working condition matrix Ai when the ith preset working condition matrix Ai is selected as the working condition of the allocating unit:
when the delta T is less than or equal to T1, not correcting the working condition in the ith preset working condition matrix Ai;
when T1 is smaller than delta T and smaller than T2, selecting the first preset correction coefficient m1 to correct Ai to obtain Ai (Ai m1, bi m 1);
when T2 is smaller than delta T and smaller than T3, selecting the second preset correction coefficient m2 to correct Ai to obtain Ai (Ai m2, bi m 2);
when T3 is smaller than delta T and smaller than T4, selecting the third preset correction coefficient m3 to correct Ai to obtain Ai (Ai m3, bi m 3);
when T4 <. delta.t, the fourth preset correction coefficient m4 is selected to correct Ai to be Ai (Ai × m4, bi × m 4).
5. The intelligent manufacturing management system of claim 2,
the secondary collection unit is also used for collecting the raw material transportation quantity deltaS in real time, and the cloud control unit is used for controlling the manufacturing unit;
the data cloud processing module is used for setting a standard raw material transfer quantity preset value S0, and is also used for setting a first preset raw material transfer quantity difference value S1, a second preset raw material transfer quantity difference value S2, a third preset raw material transfer quantity difference value S3 and a fourth preset raw material transfer quantity difference value S4, wherein S1 is larger than S2 and smaller than S3 and smaller than S4; the data cloud processing module is further used for setting a first preset working condition matrix B1 (c 1, d 1), a second preset working condition matrix B2 (c 2, d 2), a third preset working condition matrix B3 (c 3, d 3) and a fourth preset working condition matrix B4 (c 4, d 4), wherein c1 to c4 sequentially represent first to fourth preset product production rates, c1 is greater than c2 and is greater than c3 and is less than c4, d1 to d4 sequentially represent first to fourth preset product production periods, and d1 is greater than d2 is greater than d3 and is less than d 4;
selecting a preset working condition matrix B as the working condition of the manufacturing unit according to the difference value between the real-time collected raw material transferring quantity delta S and a preset value S0 of the set standard raw material transferring quantity;
when the delta S-S0 is not more than S1, selecting the first preset working condition matrix B1 as the working condition of the manufacturing unit;
when S1 < [ delta ] S-S0 ≦ S2, selecting the second preset operating condition matrix B2 as the operating condition of the manufacturing unit;
when S2 < [ delta ] S-S0 ≦ S3, selecting the third preset operating condition matrix B3 as the operating condition of the manufacturing unit;
when S3 <. DELTA.S-S0 ≦ S4, selecting the fourth pre-set operating condition matrix B4 as the operating condition for the manufacturing unit;
when the ith preset working condition matrix Bi is selected as the working condition of the manufacturing unit, the cloud control module controls the manufacturing unit to work at the ith preset product production rate ci, and sets the product production period of the manufacturing unit to be the ith preset product production period di, i =1, 2, 3, 4.
6. The intelligent manufacturing management system of claim 5,
the data cloud processing module is further used for setting a first preset product transfer quantity N1, a second preset product transfer quantity N2, a third preset product transfer quantity N3 and a fourth preset product transfer quantity N4, wherein N1 is more than N2 and more than N3 and more than N4; the data cloud processing module is further used for setting a first preset correction coefficient n1, a second preset correction coefficient n2, a third preset correction coefficient n3 and a fourth preset correction coefficient n4, wherein n1 is more than 0.8 and more than n2 and more than n3 and more than n4 and less than 1;
the collecting unit is also used for collecting the product transferring quantity delta N in real time, the data cloud processing module is also used for selecting the ith preset working condition matrix Bi as the working condition of the manufacturing unit, and selecting preset correction coefficients according to the relation between the real-time product transferring quantity delta N and each preset product transferring quantity N to correct the working condition in the ith preset working condition matrix Bi:
when the delta N is less than or equal to N1, not correcting the working condition in the ith preset working condition matrix Bi;
when N1 <. DELTA.N is less than or equal to N2, selecting the first preset correction coefficient N1 to correct Bi to obtain Bi (ci x N1, di x N1);
when N2 is smaller than delta N and smaller than N3, selecting the second preset correction coefficient N2 to correct Bi to obtain Bi (ci N2, di N2);
when N3 is smaller than delta N and smaller than N4, selecting the third preset correction coefficient N3 to correct Bi to obtain Bi (ci N3, di N3);
when N4 is less than Δ N, the fourth predetermined correction coefficient N4 is selected to correct Bi to Bi (ci × N4, di × N4).
7. The intelligent manufacturing management system of claim 2,
the cloud database stores parameters such as product production types, product production quantity, product production parameters and product production periods.
8. The intelligent manufacturing management system of claim 1, further comprising a graphical visualization system;
the graphical visual system is used for graphically displaying various data of the acquisition unit, the distribution unit, the manufacturing unit, the transfer unit and the cloud management unit.
9. The intelligent manufacturing management system according to claim 1, wherein the data transmission in the intelligent manufacturing management system is performed by a WLAN data transmission device.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115344077A (en) * | 2022-08-08 | 2022-11-15 | 建筑材料工业信息中心 | Supervision system and method for cement warehouse |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115344077A (en) * | 2022-08-08 | 2022-11-15 | 建筑材料工业信息中心 | Supervision system and method for cement warehouse |
| CN115344077B (en) * | 2022-08-08 | 2024-04-02 | 建筑材料工业信息中心 | Monitoring system and method for cement warehouse |
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