CN117273407A - Digital management method and system based on industrial Internet - Google Patents
Digital management method and system based on industrial Internet Download PDFInfo
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Abstract
The application belongs to the technical field of industrial data management, and provides a digital management method and a digital management system based on industrial Internet, wherein the digital management method comprises the steps of acquiring product equipment information of an enterprise according to equipment data of the enterprise; determining production plan data of an enterprise according to the product equipment information; based on basic information of an enterprise, inputting the basic information into a network server system, and determining operation data information of the enterprise; and determining the optimal operation strategy of the enterprise based on the production plan data and the operation data information. According to the method and the device, the enterprise can be assisted to realize accurate supervision of production information according to industrial production equipment and production data of the enterprise, and an optimal operation strategy is provided for the enterprise.
Description
Technical Field
The application belongs to the technical field of industrial data management, and particularly relates to a digital management method and system based on the Internet.
Background
Along with the acceleration development of new technological revolution and industry revolution, the industrial economy gradually has new development trend, the traditional industry and the Internet are mutually intersected and fused, the cross-equipment, cross-platform and cross-region connection is realized, and the development quality and benefit of the industrial economy are improved accurately.
At present, in industrial manufacturing enterprises, two links of manufacturing production and marketing are independent, so that the harmony between the manufacturing production and the market economy is poor, and therefore, a method capable of providing an operation strategy for the enterprises is needed.
Disclosure of Invention
The invention aims to provide a digital management method and a digital management system based on industrial Internet, which aim to solve the technical problem of poor coordination between manufacturing production and market economy in the prior art.
In order to achieve the above object, the present invention provides a digital management method based on industrial internet, comprising:
acquiring product equipment information of an enterprise according to equipment data of the enterprise;
determining production plan data of an enterprise according to the product equipment information;
based on basic information of an enterprise, inputting the basic information into a network server system, and determining operation data information of the enterprise;
and determining the optimal operation strategy of the enterprise based on the production plan data and the operation data information.
The beneficial effects of the invention are as follows: according to the digital management method based on the industrial Internet, firstly, equipment states and product states of enterprises are obtained according to equipment information of the enterprises, and the equipment states and the product states of the enterprises are determined to be product equipment information of the enterprises; determining specific production plan data arrangement of enterprises according to the enterprise product equipment information; inputting basic information of the enterprise into a built network server system based on the basic information provided by the enterprise, and determining operation data information of the enterprise; and finally, determining an optimal operation strategy for the enterprise according to the acquired production plan data and the acquired operation data information, so that the optimal operation strategy can be provided for the enterprise according to the industrial production equipment and the production data of the enterprise.
Optionally, classifying the products of the enterprise according to the preset product types to obtain a plurality of product type data;
based on the multiple product type data, obtaining an optimal product with the best quality state in the same type of products;
acquiring optimal parameters of the optimal product based on the optimal product;
and determining the optimal parameters as equipment data of the same type of products.
Optionally, obtaining a preset device yield of the next production quarter of the enterprise;
acquiring the existing production quantity of a production quarter on an enterprise;
acquiring the production efficiency of the product equipment according to the product equipment information and the existing production capacity;
obtaining the target yield of the next production quarter according to the production efficiency;
and if the target yield is larger than the preset equipment yield, the product equipment accords with the production and use standard, otherwise, the product equipment does not accord with the production and use standard.
Optionally, obtaining product demand data of a next production quarter;
acquiring the production cost amount of a product based on the product demand data;
acquiring the production cycle number of the product according to the product equipment information and the product demand data;
enterprise production planning data is determined based on the number of production cycles, the amount of production costs, and the product demand data.
Optionally, determining the plurality of product type data as first data information;
inputting the first data information to the network server system, and acquiring dominant technical information of competitors of the same type of products;
determining a product modification value of the first data information according to the dominant technical information;
determining the operating range of the enterprise as second data information;
comparing the first data information, the second data information and a preset marketing method to obtain an optimal marketing method;
and determining the operation data information according to the product modification value and the optimal marketing method.
Optionally, based on the first data information, the second data information and a preset marketing method, an optimal marketing method is obtained according to a weight ratio of a product type and an operation range contained in the preset marketing method, wherein the preset marketing method comprises a plurality of product types and a plurality of enterprise operation ranges.
Optionally, according to the production plan data and the operation data information, obtaining production operation cost;
obtaining estimated enterprise income according to the optimal operation strategy;
and obtaining the business operation profit amount of the enterprise according to the production operation cost and the estimated enterprise income.
The invention also provides a digital management system based on the industrial Internet, which comprises:
an information acquisition module: the method comprises the steps of obtaining product equipment information of an enterprise according to equipment data of the enterprise;
the plan determining module: the production plan data of the enterprise is determined according to the product equipment information;
and a data determining module: the system is used for inputting basic information of an enterprise to a network server system and determining operation data information of the enterprise;
a strategy determination module: and the method is used for determining the optimal operation strategy of the enterprise based on the production plan data and the operation data information.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a digital management method based on industrial internet according to an embodiment of the present invention;
fig. 2 is a block diagram of a digital management system based on the industrial internet according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more comprehensible, the technical solutions in the embodiments of the present invention are described in detail below with reference to the accompanying drawings, and it is apparent that the embodiments described below are only some embodiments of the present invention, but not all embodiments of the present invention. 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.
Referring to fig. 1, an embodiment of a digital management method based on industrial internet according to an embodiment of the present invention may include:
s100, obtaining product equipment information of the enterprise according to the equipment data of the enterprise.
Specifically, product information and equipment information of an enterprise are obtained according to equipment data of the enterprise, wherein the equipment data of the enterprise comprise the number of production equipment of the enterprise, the operation conditions of the production equipment, parameters of the equipment and products produced by the equipment; the product equipment information of the enterprise comprises equipment states and product states of the enterprise; and acquiring the equipment state of the enterprise production equipment and the product state of the produced product according to the equipment data of the enterprise.
In one embodiment, the method includes, before the step S100:
s110, classifying products of enterprises according to preset product types to obtain a plurality of product type data;
specifically, according to the equipment production products of the enterprises and preset product type keywords, determining type keywords of the equipment production products, wherein the type keywords are product type data, and according to the preset product type data, classifying the types of the products of the enterprises to obtain a plurality of product type data of a plurality of products of the enterprises.
S120, acquiring an optimal product with the best quality state in the same type of product based on a plurality of product type data;
specifically, based on the product types of a plurality of products, detecting the product quality of the same product type, and obtaining the optimal product with the best product quality in the same product type.
S130, acquiring optimal parameters of an optimal product based on the optimal product;
specifically, based on the obtained optimal product, determining the production parameter of the optimal product as an optimal parameter, wherein the optimal parameter comprises: production facility operating parameters and production environment parameters.
And S140, determining the optimal parameters as equipment data of the same type of products.
Specifically, the optimal parameters of the optimal products are determined to be the equipment data of the same type of products, the optimal parameters of the same type of products are set to be the equipment data, the quality of the produced products of the same type can reach the quality standard of the optimal products, and meanwhile, the production period of the production of the products can be calculated according to the optimal parameters.
In one embodiment, after the step S100, the method includes:
s150, obtaining the preset equipment yield of the next production quarter of the enterprise;
specifically, according to the production capacity of the production equipment in the production quarter and the equipment information of the production equipment, calculating the equipment capacity of the same type of product in the next production quarter, and determining the preset equipment capacity of each product production equipment of an enterprise. The method for calculating the yield of the preset equipment is to calculate the increasing rate or the decreasing rate of the yield of the product according to the yield of the product in the historical production season, then determine the yield of the preset equipment in the next production season, and when the yield value of the product is increased, the calculation formula of the yield of the preset equipment is as follows: preset plant yield = historical production quarter product yield x (1 + rate of increase), when product yield decreases, the calculation formula for preset plant yield is: preset plant yield = historical production quarter product throughput x (1-reduction);
specifically, the preset device yield can also calculate marketing data of the previous production season and increasing number data and decreasing number data of the order number according to marketing data and the order number of the historical production season to obtain an increasing rate or a decreasing rate of the order, and calculate the preset device yield of the next production season of the enterprise according to the increasing rate or the decreasing rate of the order and the device yield of the previous production season, wherein when the order is increased, a calculation formula of the preset device yield is as follows: preset equipment yield = marketing data x (1 + growth rate) for last production quarter, when order is reduced, the calculation formula for preset equipment yield is: preset device yield = marketing data of last production quarter x (1-reduction rate).
S160, acquiring the existing production quantity of the production quarter on the enterprise;
specifically, the existing production capacity of the enterprise in the production quarter is obtained according to the production capacity of each production quarter of the enterprise history.
S170, acquiring the production efficiency of the product equipment according to the product equipment information and the existing production quantity;
specifically, according to the acquired product equipment information and the acquired existing production volume data, the production efficiency of a plurality of product types of an enterprise is calculated, and the production efficiency calculation formula of the product equipment of the enterprise is as follows:wherein v is the production efficiency of the equipment, s is the quantity of the actually produced products, and t is the production and use time of the equipment.
S180, acquiring the target yield of the next production quarter according to the production efficiency;
specifically, according to the preset equipment yield of the previous production quarter and the existing yield of the previous production quarter, the planned completion rate of the previous production quarter is calculated, and according to the planned completion rate and the production efficiency, the target yield of the next production quarter is calculated.
S190, if the target yield is greater than the preset equipment yield, the product equipment accords with the production and use standard, otherwise, the product equipment does not accord with the production and use standard.
Specifically, comparing the target yield with the preset equipment yield, and judging whether the production efficiency of the enterprise product equipment and the product equipment meet the production standard of the target yield or not through the comparison condition of the target yield and the preset equipment yield.
Specifically, if the target yield is greater than the preset equipment yield, in the next production quarter, the equipment yield can meet the production requirement of the preset equipment yield, and the product equipment meets the production and use standard; if the target yield is smaller than the preset equipment yield, in the next production quarter, the equipment yield cannot meet the production requirement of the preset equipment yield, and maintenance or addition treatment is required to be carried out on the product equipment according to the product equipment information; if the target yield is equal to the preset equipment yield, the equipment yield can also meet the production requirement of the preset equipment yield in the next production quarter, but the product equipment information is monitored in time when the product equipment is produced, so that the production capacity can not meet the target yield due to the failure of the production equipment is prevented.
S200, determining production plan data of enterprises according to the product equipment information.
Specifically, according to the acquired product equipment information of the enterprise, the production capacity and equipment data of the historical production quarters are counted and summarized, product equipment trend is generated, and then the production plan data of the enterprise is determined according to the market demand data and the equipment data.
In one embodiment, the step S200 includes:
s210, obtaining product demand data of the next production quarter;
specifically, according to the customer feedback data and the product equipment information of the historical production quarter, the function distinguishing data of the product equipment information and the customer feedback data is obtained, the product equipment information is improved according to the customer feedback data, and the function distinguishing data of the customer feedback data and the product equipment information is added to the product demand data of the next production quarter.
Specifically, the functional difference data of the enterprise and the competitor product can be determined according to the user requirements of the acquired competitors and in combination with the product equipment information of the enterprise, so that the product equipment of the enterprise is perfected, the required user range is expanded, the functional difference data of the product equipment of the competitors and the product equipment information of the enterprise are added to the production requirement data of the next production quarter, and the functional difference data comprise: the size of the product and the color of the product.
S220, acquiring the production cost amount of the product based on the product demand data;
specifically, according to the obtained product demand of the next production quarter, comparing the product demand of the next production quarter with the product demand of the previous production quarter, calculating the production cost of the increased product demand, calculating the production cost of the previous production quarter from the increased production cost, and obtaining the production cost of the product of the next production quarter.
S230, acquiring the production cycle number of the product according to the product equipment information and the product demand data;
specifically, according to the obtained product equipment information and the obtained product demand, the calculation formula of the product production cycle number is as follows:wherein->For the number of production cycles of the same type of product, n is the number of products, m is the number of procedures of the product which need to be produced, < >>For the production time of the individual products, +.>The production process time required for the product.
Specifically, the production cycle number of the product can be calculated according to the obtained product equipment information and the product demand, the production time can be changed along with the change of the product demand, and when the product demand of each production quarter is stable, the production cycle number of the product can be directly calculated according to the calculated historical production cycle number of the production quarter. When the product demand decreases, the product tact becomes longer, whereas when the product demand increases, the product tact becomes shorter.The calculation formula of the production beat is as follows:wherein->For the actual production working time->Daily need of production of product number->Is the production takt.
S240, determining enterprise production plan data according to the production cycle number, the production cost amount and the product demand data.
Specifically, the production planning data of the enterprise is determined according to the product demand data, the production cost quantity and the production cycle number, and the enterprise can plan market demands and product production more reasonably according to the determined production planning data.
S300, based on basic information of the enterprise, inputting the basic information into a network server system, and determining operation data information of the enterprise.
Specifically, basic information of an enterprise is input to a built network server system, and operation data information of the enterprise is obtained according to the network server system, wherein the basic information of the enterprise comprises enterprise product information and enterprise operation range.
Specifically, a network server system is built, all production equipment of an enterprise is connected, all parts of operation data of the enterprise are connected, data of production requirements of the enterprise and production equipment can be rapidly obtained, and production and requirements are coordinated.
In one embodiment, the step S300 includes:
s310, determining a plurality of product type data as first data information;
specifically, production product information of an enterprise is obtained according to basic information of the enterprise, products are classified according to the production product information, a plurality of product type data are obtained, and the plurality of product type data of the enterprise are determined to be first data information.
S320, inputting first data information to a network server system, and acquiring dominant technical information of competitors of the same type of products;
specifically, the obtained first data information is input to a built network server system, the network server system obtains the distinguishing technical information of competitors of the same type of products and the products of the enterprise according to a plurality of product types of the enterprise, obtains the dominant technical information of the competitors according to the distinguishing technical information, and adjusts the product equipment information of the enterprise according to the dominant technical information.
S330, determining a product modification value of the first data information according to the dominant technical information;
specifically, according to the acquired dominant technical information and the distinguishing data information of the product equipment information of the enterprise, determining the product modification value of the first data information as the distinguishing data information.
S340, determining the business scope of the enterprise as second data information;
specifically, according to the basic information of the enterprise, the business scope of the enterprise is determined to be the second data information, and according to the second data information, the market demand of the enterprise can be determined more accurately.
S350, comparing the first data information, the second data information and a preset marketing method to obtain an optimal marketing method;
specifically, the first data information, the second data information and a preset marketing method are compared, the first data information and the second data information are paired with the preset marketing method by utilizing a KM algorithm, and an optimal marketing method is obtained according to the paired information, wherein the preset marketing method comprises information of various marketing product types, the business scope of enterprises and target crowd.
S360, determining operation data information according to the product modification value and the optimal marketing method.
Specifically, the product equipment information of the enterprise is changed according to the obtained product change value, the marketing method of the next production quarter is adjusted according to the optimal marketing method, and the product change value and the optimal marketing method are determined to be operation data information.
In one embodiment, the step S350 includes:
s351, based on the first data information, the second data information and the preset marketing method, acquiring an optimal marketing method according to the weight ratio of the product type and the operation range contained in the preset marketing method.
Specifically, preset expected values are set for various marketing product types, business ranges of enterprises and information of target groups contained in a preset marketing method, recursive matching is carried out on the information of the various marketing product types, business ranges of the enterprises and the information of target groups with each expected value of the preset marketing method according to first data information and second data information of the enterprises, and the preset marketing method with the highest matching expected value is the optimal marketing method, wherein the preset marketing method comprises a plurality of product types and a plurality of business ranges of the enterprises
S400, determining the optimal operation strategy of the enterprise based on the production plan data and the operation data information.
Specifically, the product equipment information of the next production quarter is changed according to the acquired production plan data, the operation strategy is adjusted according to the acquired operation data information, and the production plan data and the operation data information are determined to be the optimal operation strategy of the enterprise.
In one embodiment, after the step S400, the method includes:
s410, acquiring production operation cost according to production plan data and operation data information;
specifically, product equipment information changed according to production plan data is compared, and an operation strategy adjusted according to operation data information is used for generating a difference value between estimated cost of the next production quarter and the previous production quarter, and determining the estimated cost of the next production quarter as production operation cost.
S420, obtaining estimated enterprise income according to the optimal operation strategy;
specifically, comparing the operation policy of the last production quarter with the optimal operation policy, obtaining the difference information of the operation policy of the last production quarter and the optimal operation policy, and obtaining estimated enterprise income according to the difference information and the income of the last production quarter.
S430, obtaining business operation profits according to the production operation cost and the estimated business income.
Specifically, according to the acquired production operation cost and the acquired estimated enterprise income in the next production quarter, calculating to obtain enterprise operation profits; meanwhile, profit increase and decrease trends can be generated according to enterprise operating profits of historical production quarters, and enterprise operating profits of the next production quarter are calculated.
The implementation principle of the digital management method based on the industrial Internet in the embodiment of the application is as follows: according to various types of data of enterprise equipment, product information and equipment information of an enterprise are obtained, products of the enterprise are classified, optimal products with optimal product quality in the same type of products are obtained, the optimal parameters are determined to be equipment parameters of the same type of products by obtaining the optimal parameters of the optimal products, whether production efficiency of the enterprise product equipment accords with production using standards or not is judged according to data collection of historical production quarter production capacity, production capacity demand of the next production quarter is calculated, production period of the products is calculated, enterprise production plan data are formulated, meanwhile basic information of the enterprise is collected and confirmed, and an optimal marketing method for the next production quarter is obtained, so that an optimal marketing strategy is provided for the enterprise according to production equipment and production data of the enterprise.
In one embodiment, referring to fig. 2, an embodiment of the present application further provides a digital management system based on the industrial internet, including:
an information acquisition module: the method comprises the steps of obtaining product equipment information of an enterprise according to equipment data of the enterprise;
the plan determining module: the production plan data of the enterprise is determined according to the product equipment information;
and a data determining module: the system is used for inputting basic information of an enterprise to a network server system and determining operation data information of the enterprise;
a strategy determination module: and the method is used for determining the optimal operation strategy of the enterprise based on the production plan data and the operation data information.
In one embodiment, embodiments of the present application further provide a parameter confirmation module, including:
and a product classification module: the method comprises the steps of classifying products of an enterprise according to preset product types to obtain a plurality of product type data;
and a quality confirmation module: the method comprises the steps of obtaining an optimal product with the best quality state in the same type of products based on the plurality of product type data;
parameter acquisition module: the method comprises the steps of obtaining optimal parameters of an optimal product based on the optimal product;
parameter confirmation module: and the equipment data is used for determining that the optimal parameters are the same type of products.
Based on the same ideas that of the above supplementary description of the embodiments, the digital management system based on the industrial internet provided in the present application can implement the method of the above embodiments, and for convenience of description, only a portion related to the embodiments of the present application is shown in a schematic structural diagram of an embodiment of the system, and it will be understood by those skilled in the art that the illustrated structure does not constitute a limitation of the system, and may include more or fewer components than those illustrated, or may combine certain components, or different component arrangements.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the 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 scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. A digital management method based on industrial internet, comprising:
acquiring product equipment information of an enterprise according to equipment data of the enterprise;
determining production plan data of an enterprise according to the product equipment information;
based on basic information of an enterprise, inputting the basic information into a network server system, and determining operation data information of the enterprise;
and determining the optimal operation strategy of the enterprise based on the production plan data and the operation data information.
2. The method of claim 1, comprising, prior to said obtaining product device information for the enterprise based on the device data for the enterprise:
classifying products of enterprises according to preset product types to obtain a plurality of product type data;
based on the multiple product type data, obtaining an optimal product with the best quality state in the same type of products;
acquiring optimal parameters of the optimal product based on the optimal product;
and determining the optimal parameters as equipment data of the same type of products.
3. The method of claim 1, wherein after acquiring product equipment information of the enterprise based on the equipment data of the enterprise, comprising:
obtaining the output of preset equipment in the next production quarter of an enterprise;
acquiring the existing production quantity of a production quarter on an enterprise;
acquiring the production efficiency of the product equipment according to the product equipment information and the existing production capacity;
obtaining the target yield of the next production quarter according to the production efficiency;
and if the target yield is larger than the preset equipment yield, the product equipment accords with the production and use standard, otherwise, the product equipment does not accord with the production and use standard.
4. The method of claim 1, wherein determining production plan data for an enterprise based on the product equipment information comprises:
acquiring product demand data of the next production quarter;
acquiring the production cost amount of a product based on the product demand data;
acquiring the production cycle number of the product according to the product equipment information and the product demand data;
enterprise production planning data is determined based on the number of production cycles, the amount of production costs, and the product demand data.
5. The method of claim 2, wherein the determining the operation data information of the enterprise based on the basic information of the enterprise, which is input to the web server system, comprises:
determining the plurality of product type data as first data information;
inputting the first data information to the network server system, and acquiring dominant technical information of competitors of the same type of products;
determining a product modification value of the first data information according to the dominant technical information;
determining the operating range of the enterprise as second data information;
comparing the first data information, the second data information and a preset marketing method to obtain an optimal marketing method;
and determining the operation data information according to the product modification value and the optimal marketing method.
6. The method of claim 5, wherein the comparing the first data information, the second data information, and a preset marketing method, obtaining an optimal marketing method, comprises:
and acquiring an optimal marketing method according to the weight ratio of the product types and the operation ranges contained in the preset marketing method based on the first data information, the second data information and the preset marketing method, wherein the preset marketing method comprises a plurality of product types and a plurality of enterprise operation ranges.
7. The method of claim 1, wherein after said determining an optimal business strategy for an enterprise based on said production planning data and said operational data information, comprising:
acquiring production operation cost according to the production plan data and the operation data information;
obtaining estimated enterprise income according to the optimal operation strategy;
and obtaining the business operation profit amount of the enterprise according to the production operation cost and the estimated enterprise income.
8. A digital management system based on the industrial internet, comprising:
an information acquisition module: the method comprises the steps of obtaining product equipment information of an enterprise according to equipment data of the enterprise;
the plan determining module: the production plan data of the enterprise is determined according to the product equipment information;
and a data determining module: the system is used for inputting basic information of an enterprise to a network server system and determining operation data information of the enterprise;
a strategy determination module: and the method is used for determining the optimal operation strategy of the enterprise based on the production plan data and the operation data information.
9. The system according to claim 8, characterized in that it comprises:
and a product classification module: the method comprises the steps of classifying products of an enterprise according to preset product types to obtain a plurality of product type data;
and a quality confirmation module: the method comprises the steps of obtaining an optimal product with the best quality state in the same type of products based on the plurality of product type data;
parameter acquisition module: the method comprises the steps of obtaining optimal parameters of an optimal product based on the optimal product;
parameter confirmation module: and the equipment data is used for determining that the optimal parameters are the same type of products.
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