CN117311282A - MES control system based on material information integration - Google Patents
MES control system based on material information integration Download PDFInfo
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- CN117311282A CN117311282A CN202311314380.1A CN202311314380A CN117311282A CN 117311282 A CN117311282 A CN 117311282A CN 202311314380 A CN202311314380 A CN 202311314380A CN 117311282 A CN117311282 A CN 117311282A
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- 239000000463 material Substances 0.000 title claims abstract description 103
- 230000010354 integration Effects 0.000 title claims abstract description 16
- 238000004519 manufacturing process Methods 0.000 claims abstract description 167
- 230000002159 abnormal effect Effects 0.000 claims abstract description 16
- 238000000034 method Methods 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000007405 data analysis Methods 0.000 claims description 3
- 238000003860 storage Methods 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 4
- 239000002002 slurry Substances 0.000 description 4
- 238000002360 preparation method Methods 0.000 description 3
- 239000000126 substance Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000003756 stirring Methods 0.000 description 1
- 238000005303 weighing 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
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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
- 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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Abstract
The invention discloses an MES control system based on material information integration, which comprises a material acquisition module, a control module and a control module, wherein the material acquisition module acquires material information data in the production process of an enterprise; the material information data includes a material demand value; the production module is used for obtaining production information data of products obtained by enterprises for producing materials; the production information data comprises a production progress value; when a production standard signal of the production module is obtained, the management platform simultaneously obtains the production standard signal and the production demand abnormal signal and correspondingly generates a regulation signal; the invention obtains the current enterprise production state by analyzing the material information and the production information separately and then comparing and analyzing the material information and the production information, and reasonably arranges the production matching work of the labor force under the condition of large material stock and small production force, thereby digesting the rest materials in large quantity.
Description
Technical Field
The invention relates to the technical field of intelligent preparation, in particular to an MES control system based on material information integration.
Background
Chinese patent CN114331215a discloses a chemical slurry intelligent preparation system and control method based on MES system, comprising: the MES system comprises a management and control module and a database; the slurry automatic production equipment comprises a control system, a storage bin, a solution tank, a weighing hopper, a stirring kettle and a pipeline valve; a PDA device; the MES system is in communication connection with the control system, and is in communication connection with the PDA equipment;
in the prior art, through the cooperation arrangement among an MES system, slurry automatic production equipment and PDA equipment, the background management and remote issuing of production tasks and production formulas in the chemical slurry preparation process are realized, the intelligent error prevention function of material information is realized, the feeding materials and production procedures are automatically controlled, and production data are automatically acquired, so that the production efficiency is improved, and the product formulas and quality are controlled; however, the problems that the real-time matching between materials and production cannot be realized and the production operation of enterprises is affected exist.
Disclosure of Invention
The invention aims to solve the problems of the background art and provides an MES control system based on material information integration.
The aim of the invention can be achieved by the following technical scheme:
MES control system based on material information integration includes:
the material acquisition module acquires material information data in the enterprise production process; the material information data includes a material demand value;
the management platform acquires a production demand abnormal signal and sends the demand abnormal signal to the production module;
the production module is used for obtaining production information data of products obtained by enterprises for producing materials; the production information data comprises a production progress value;
when a production standard signal of the production module is obtained, the management platform simultaneously obtains the production standard signal and the production demand abnormal signal and correspondingly generates a regulation signal;
and the regulation and control module acquires a regulation and control signal of the management platform and regulates the production relationship of the enterprise materials and the enterprise.
As a further scheme of the invention: the material demand value is obtained by the following steps:
step 1: collecting the ordering amount and the removing amount of materials in historical time, marking the starting time of a time period with highest ordering frequency in unit time as predicted ordering time, and marking the ending time of the time period with highest removing frequency in unit time as predicted removing time;
calculating the difference value between the predicted order time and the predicted order removing time to obtain a predicted time period Ty; collecting the material demand of a customer at the predicted time of order, and carrying out summation calculation on the material demand of the customer at the predicted time of order withdrawal to obtain the predicted demand Ly; the material demand is the material bill quantity minus the material bill withdrawal quantity in the corresponding time;
step 2: and setting a prediction time T, and calculating to obtain a material requirement value ZX through a formula ZX= (Ly/Ty) T.
As a further scheme of the invention: if the material demand value ZX is more than or equal to the material demand threshold value, generating a demand abnormal signal;
if the total material demand value ZXK is smaller than the total material demand threshold value, a normal demand signal is generated.
As a further scheme of the invention: the production progress value is obtained by the following steps:
step 1: acquiring the production rate of a product and marking the production rate as a production rate value CS; wherein the production rate value is calculated by dividing the total production amount by the production time;
step 2: the method comprises the steps of obtaining the total number of production products and the total number of qualified products in unit time, marking the total number of production products and the total number of qualified products as a total value and a total value respectively, obtaining the ratio between the total value and the total value, and marking the ratio as a total value HZ;
step 3: the data analysis module substitutes the production speed value CS and the total value HZ into a formula ZJ=a1×CS+a2×HZ to obtain a production progress value ZJ, wherein a1 and a2 are both proportionality coefficients.
As a further scheme of the invention: if the production progress value ZJ is more than or equal to the production progress threshold value, generating a production standard signal;
and if the production progress value ZJ is smaller than the production progress threshold value, generating a production non-standard signal.
As a further scheme of the invention: the specific working process of the regulation and control module is as follows:
step 1: obtaining a material demand value ZX and a production progress value ZJ, calculating a production matching coefficient Kp through a formula Kp=ZX/ZJ, and subtracting the production matching coefficient Kp from a production matching coefficient threshold value to obtain a production matching coefficient difference CKp;
step 2: acquiring a fluctuation value and an average value of the number of people in the production process of the product, and marking the fluctuation value and the average value as Zb and Zr respectively; calculating to obtain a production manpower value ZL through a formula ZL=b1 xZb+b2 xZr, wherein b1 and b2 are proportionality coefficients;
step 3: substituting the obtained production human power value ZL and the production matching coefficient difference CKp into a formula ZTL=ZL×CKp, and calculating to obtain a generated human power adjustment value ZTL.
The invention has the beneficial effects that:
according to the MES control system based on material information integration, the material information and the production information are firstly subjected to independent analysis and then are subjected to comparison and analysis to obtain the current enterprise production state, and when the material storage quantity is large and the production force is small, the production matching work of labor force is reasonably arranged, so that a large amount of surplus materials can be digested.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to FIG. 1, the present invention is a MES control system based on material information integration, comprising:
the material acquisition module acquires material information data in the enterprise production process;
the material information data includes a material demand value;
the material demand value is obtained by the following steps:
step 1: collecting the ordering amount and the removing amount of materials in historical time, marking the starting time of a time period with highest ordering frequency in unit time as predicted ordering time, and marking the ending time of the time period with highest removing frequency in unit time as predicted removing time;
calculating the difference value between the predicted order time and the predicted order removing time to obtain a predicted time period Ty; collecting the material demand of a customer at the predicted time of order, and carrying out summation calculation on the material demand of the customer at the predicted time of order withdrawal to obtain the predicted demand Ly; the material demand is the material bill quantity minus the material bill withdrawal quantity in the corresponding time;
step 2: setting a prediction time T, and calculating to obtain a material requirement value ZX through a formula ZX= (Ly/Ty) T;
comparing the obtained material demand value ZX with a material demand threshold value;
if the material demand value ZX is more than or equal to the material demand threshold value, generating a demand abnormal signal;
if the total material demand value ZXK is smaller than the total material demand threshold value, generating a normal demand signal;
the abnormal demand signal indicates that the total quantity of the material ordering in the production process of the enterprise exceeds the current enterprise material pre-storage quantity, and the normal demand signal indicates that the total quantity of the material ordering in the production process of the enterprise does not exceed the current enterprise material pre-storage quantity;
the management platform acquires a production demand abnormal signal and sends the demand abnormal signal to the production module;
the production module is used for obtaining production information data of products obtained by enterprises for producing materials;
the production information data comprises a production progress value ZJ;
the production progress value is obtained by the following steps:
step 1: acquiring the production rate of a product and marking the production rate as a production rate value CS; wherein the production rate value is calculated by dividing the total production amount by the production time;
step 2: the method comprises the steps of obtaining the total number of production products and the total number of qualified products in unit time, marking the total number of production products and the total number of qualified products as a total value and a total value respectively, obtaining the ratio between the total value and the total value, and marking the ratio as a total value HZ;
step 3: the data analysis module substitutes a production speed value CS and a total value HZ into a formula ZJ=a1, CS+a2, and the production progress value ZJ is obtained, wherein a1 and a2 are proportionality coefficients, the value of a1 is 0.12, and the value of a2 is 0.64;
step 4: comparing the obtained production progress value ZJ with a production progress threshold value;
if the production progress value ZJ is more than or equal to the production progress threshold value, generating a production standard signal;
if the production progress value ZJ is smaller than the production progress threshold value, generating a production substandard signal;
the production standard signal indicates that the current enterprise utilizes materials to produce, and the efficiency of obtaining corresponding products is higher, so that the production efficiency of the enterprise is met; the production failure signal indicates that the current enterprise utilizes materials to produce, and the efficiency of obtaining corresponding products is lower, so that the production failure signal does not accord with the production efficiency of the enterprise;
when a production standard signal of the production module is obtained, the management platform simultaneously obtains the production standard signal and the production demand abnormal signal and correspondingly generates a regulation signal;
the regulation and control module acquires a regulation and control signal of the management platform and regulates the production relationship between the materials of the enterprise and the enterprise;
the specific working process of the regulation and control module is as follows:
step 1: obtaining a material demand value ZX and a production progress value ZJ, calculating a production matching coefficient Kp through a formula Kp=ZX/ZJ, and subtracting the production matching coefficient Kp from a production matching coefficient threshold value to obtain a production matching coefficient difference CKp;
step 2: acquiring a fluctuation value and an average value of the number of people in the production process of the product, and marking the fluctuation value and the average value as Zb and Zr respectively; calculating to obtain a production manpower value ZL through a formula ZL=b1 xZb+b2 xZr, wherein b1 and b2 are proportionality coefficients, b1 takes a value of 0.47, and b2 takes a value of 0.15;
step 3: substituting the obtained production human power value ZL and the production matching coefficient difference CKp into a formula ZTL=ZL×CKp, and calculating to obtain a generated human power adjustment value ZTL;
according to the invention, the production condition of staff in enterprises is arranged through the human regulation value ZTL, namely, the larger the human regulation value ZTL is, the more the time or the number of staff for production can be increased.
Example 2
Based on the above embodiment 1, the present invention is a working method of an MES control system based on material information integration, comprising the following steps:
step 1: acquiring material information data in the enterprise production process, and analyzing to acquire a demand abnormal signal or a demand normal signal;
step 2: when a production demand abnormal signal is obtained, obtaining production information data of a product obtained by an enterprise aiming at material production, and obtaining a production standard signal or a production non-standard signal;
step 3: when the production standard signal of the production module is obtained, the production standard signal and the production demand abnormal signal are obtained at the same time, and a corresponding regulation signal is generated;
and the regulation and control module acquires a regulation and control signal of the management platform and regulates the production relationship of the enterprise materials and the enterprise.
The working principle of the invention is as follows: according to the MES control system based on material information integration, the material information and the production information are firstly subjected to independent analysis and then are subjected to comparison and analysis to obtain the current enterprise production state, and when the material storage quantity is large and the production force is small, the production matching work of labor force is reasonably arranged, so that a large amount of surplus materials can be digested.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (6)
1. MES control system based on material information integration, characterized by comprising:
the material acquisition module acquires material information data in the enterprise production process; the material information data includes a material demand value;
the management platform acquires a production demand abnormal signal and sends the demand abnormal signal to the production module;
the production module is used for obtaining production information data of products obtained by enterprises for producing materials; the production information data comprises a production progress value;
when a production standard signal of the production module is obtained, the management platform simultaneously obtains the production standard signal and the production demand abnormal signal and correspondingly generates a regulation signal;
and the regulation and control module acquires a regulation and control signal of the management platform and regulates the production relationship of the enterprise materials and the enterprise.
2. The MES control system based on material information integration according to claim 1, wherein the material demand value is obtained by:
step 1: collecting the ordering amount and the removing amount of materials in historical time, marking the starting time of a time period with highest ordering frequency in unit time as predicted ordering time, and marking the ending time of the time period with highest removing frequency in unit time as predicted removing time;
calculating the difference value between the predicted order time and the predicted order removing time to obtain a predicted time period Ty; collecting the material demand of a customer at the predicted time of order, and carrying out summation calculation on the material demand of the customer at the predicted time of order withdrawal to obtain the predicted demand Ly; the material demand is the material bill quantity minus the material bill withdrawal quantity in the corresponding time;
step 2: and setting a prediction time T, and calculating to obtain a material requirement value ZX through a formula ZX= (Ly/Ty) T.
3. The MES control system based on material information integration according to claim 2, wherein a demand exception signal is generated if the material demand value ZX is greater than or equal to a material demand threshold;
if the total material demand value ZXK is smaller than the total material demand threshold value, a normal demand signal is generated.
4. A MES control system based on material information integration according to claim 3, wherein the production progress value is obtained by:
step 1: acquiring the production rate of a product and marking the production rate as a production rate value CS; wherein the production rate value is calculated by dividing the total production amount by the production time;
step 2: the method comprises the steps of obtaining the total number of production products and the total number of qualified products in unit time, marking the total number of production products and the total number of qualified products as a total value and a total value respectively, obtaining the ratio between the total value and the total value, and marking the ratio as a total value HZ;
step 3: the data analysis module substitutes the production speed value CS and the total value HZ into a formula ZJ=a1×CS+a2×HZ to obtain a production progress value ZJ, wherein a1 and a2 are both proportionality coefficients.
5. The MES control system based on material information integration according to claim 4, wherein if the production progress value ZJ is greater than or equal to the production progress threshold, a production achievement signal is generated;
and if the production progress value ZJ is smaller than the production progress threshold value, generating a production non-standard signal.
6. The MES control system based on material information integration according to claim 5, wherein the specific working process of the control module is as follows:
step 1: obtaining a material demand value ZX and a production progress value ZJ, calculating a production matching coefficient Kp through a formula Kp=ZX/ZJ, and subtracting the production matching coefficient Kp from a production matching coefficient threshold value to obtain a production matching coefficient difference CKp;
step 2: acquiring a fluctuation value and an average value of the number of people in the production process of the product, and marking the fluctuation value and the average value as Zb and Zr respectively; calculating to obtain a production manpower value ZL through a formula ZL=b1 xZb+b2 xZr, wherein b1 and b2 are proportionality coefficients;
step 3: substituting the obtained production human power value ZL and the production matching coefficient difference CKp into a formula ZTL=ZL×CKp, and calculating to obtain a generated human power adjustment value ZTL.
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