CN112613759A - Resource allocation method based on intelligent manufacturing - Google Patents
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Abstract
The invention relates to the field of big data and intelligent manufacturing, and discloses a resource allocation method based on intelligent manufacturing, which comprises the following steps: acquiring the resource configuration attribute of each historical production order; obtaining the criticality of each order attribute to each resource attribute according to the attribute relevance of each order attribute to each resource attribute so as to obtain the consumption coefficient of each order attribute to each resource attribute; calculating the similarity between the order attribute of each historical production order and the order attribute of the target production order according to the order attribute characteristics of the target production order and the order attribute characteristics of each historical production order; obtaining order homology of each historical production order and the target production order according to the resource configuration parameters and the similarity; and generating a resource configuration scheme of the target production order according to the resource configuration attribute of each historical production order, the order attribute of the target production order and the consumption coefficient of each order attribute to each resource attribute, and sending the resource configuration scheme to the resource management terminal.
Description
Technical Field
The invention relates to the field of intelligent manufacturing and big data, in particular to a resource allocation method based on intelligent manufacturing.
Background
Intelligent manufacturing is a man-machine integrated intelligent system composed of intelligent machines and human experts, which can perform intelligent activities such as analysis, reasoning, judgment, conception and decision making during the manufacturing process. By the cooperation of human and intelligent machine, the mental labor of human expert in the manufacturing process is enlarged, extended and partially replaced. The concept of manufacturing automation is updated, and the manufacturing automation is expanded to flexibility, intellectualization and high integration.
In the smart manufacturing, order management is particularly important, and resource allocation is particularly important in order management, where resource allocation is to allocate device resources, material resources, and the like for producing order products in a short time. Scientific resource allocation can improve the utilization efficiency of resources and reduce the cost of orders and the waste of resources. Therefore, there is a need to improve the efficiency of resource allocation based on order management in smart manufacturing.
Disclosure of Invention
In view of the above, the present invention provides a resource allocation method based on intelligent manufacturing, which includes: a data acquisition unit of the order analysis server acquires all historical production orders from a database and acquires a resource allocation scheme of each historical production order;
an attribute extraction unit of the order analysis server extracts the order attribute of each historical production order and the resource attribute of the corresponding resource configuration scheme;
an attribute mapping unit of the order analysis server performs mapping processing according to the order attributes and the resource attributes of each historical production order to obtain the resource configuration attributes of each historical production order;
a consumption coefficient unit of the order analysis server generates a historical production order set according to all historical production orders and obtains the attribute relevance of each order attribute to each resource attribute from a database;
a consumption coefficient unit of the order analysis server obtains the criticality of each order attribute to each resource attribute according to the attribute relevance of each order attribute to each resource attribute and a historical production order set, and normalizes the criticality of each order attribute to each resource attribute to obtain the consumption coefficient of each order attribute to each resource attribute;
the resource management terminal sends the target production order to the resource configuration server, and the resource configuration server carries out similarity measurement according to the order attribute of the target production order and the order attribute of the historical production order to obtain the similarity between the order attribute of the historical production order and the order attribute of the target production order;
the resource configuration server acquires historical process data from a database, obtains resource configuration parameters of each historical production order and order homology of each historical production order and a target production order according to the historical process data, and then corrects the resource configuration parameters according to the order homology to generate a resource configuration reference library;
and the resource configuration server performs resource configuration on the target production order according to the resource configuration reference library to generate a resource configuration scheme of the target production order, and sends the resource configuration scheme to the resource management terminal.
According to a preferred embodiment, the resource configuration server performs similarity measurement according to the order attribute of the goal production order and the order attribute of the historical production order to obtain the similarity between the order attribute of the historical production order and the order attribute of the goal production order, and the similarity includes:
an attribute feature extraction unit of the resource configuration server extracts order attributes of the target production order and extracts order attribute features of the target production order according to the order attributes of the target production order;
an attribute feature extraction unit of the resource configuration server extracts the order attribute feature of each historical production order according to the order attribute of each historical production order;
and an attribute feature extraction unit of the resource configuration server obtains the similarity between the order attribute of each historical production order and the order attribute of the target production order according to the order attribute feature of the target production order and the order attribute feature of each historical production order.
According to a preferred embodiment, the resource configuration server modifying the resource configuration parameters according to the order homology to generate the resource configuration reference library includes:
a configuration parameter unit of the resource configuration server acquires historical process data from the database and acquires resource configuration parameters of each historical production order according to the historical process data;
the order homology unit of the resource configuration server obtains the order homology of each historical production order and the target production order according to the resource configuration parameters of each historical production order and the similarity between the order attribute of each historical production order and the order attribute of the target production order;
and the order correction unit of the resource configuration server compares the order homology of each historical production order and the target production order with a homology threshold, sends the corresponding historical production order to the resource configuration reference library when the order homology is greater than or equal to the homology threshold, corrects the resource configuration attribute of the corresponding historical production order when the order homology is less than the homology threshold, and sends the corrected historical production order to the resource configuration reference library.
According to a preferred embodiment, the resource configuration scheme that the resource configuration server performs resource configuration on the target production order according to the resource configuration reference library to generate the target production order includes:
a resource configuration unit of a resource configuration server acquires the resource configuration attribute of each historical production order of a resource configuration reference library;
a resource configuration unit of the resource configuration server acquires order attributes of the target production orders and obtains the resource attributes of the target production orders according to the resource configuration attributes of each historical production order, the order attributes of the target production orders and the consumption coefficient of each order attribute to each resource attribute;
a resource configuration unit of the resource configuration server performs mapping processing according to the resource attribute and the order attribute of the target production order to obtain the resource configuration attribute of the target production order;
and a resource configuration unit of the resource configuration server generates a resource configuration scheme of the target production order according to the resource configuration attribute of the target production order.
According to a preferred embodiment, the obtaining of the resource configuration parameter by the configuration parameter unit of the resource configuration server according to the historical process data includes:
the method comprises the steps that a parameter configuration unit obtains historical process data and current production process data, and obtains the application time of each historical production process and the production time of each historical production order;
the parameter configuration unit acquires the historical production process corresponding to each historical production order according to the application time of each historical production process and the production time of each historical production order;
the parameter configuration unit extracts resource consumption characteristics of all historical production processes according to historical process data and extracts resource consumption characteristics of the current production process according to the current production process data;
the method comprises the steps that a parameter configuration unit obtains the similarity between the resource consumption characteristics of the current production process and the resource consumption characteristics of each historical production process, and obtains the configuration coefficient of each historical production order according to the similarity between the resource consumption characteristics of the current production process and the resource consumption characteristics of each historical production process;
and the configuration parameter unit obtains the resource configuration parameter of each historical production order according to the resource configuration function and the configuration coefficient of each historical production order.
According to a preferred embodiment, the resource management terminal is a device with a communication function and a data transmission function, which is used by a manager for resource configuration, and comprises: smart phones, tablet computers, notebook computers, and desktop computers.
According to a preferred embodiment, the resource configuration attributes include: order attributes and resource attributes; the order attributes include: product type, product model, product quantity and quality requirements; the resource attributes include: equipment resource amount, employee resource amount, and material resource amount; the order homology is the similarity between the historical production order and the target production order.
The embodiment provided by the invention has the following beneficial effects:
according to the method and the device, the order homology of the target production order and the historical production order is calculated, and the resource allocation scheme of the target generation order is generated according to the order homology and the resource allocation scheme of the historical production order, so that resources required for generating the order are allocated scientifically and effectively, the resource allocation efficiency is improved, the resource utilization rate is improved, and the situations of order cost increase and resource waste caused by unscientific resource allocation are reduced.
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FIG. 1 is a flowchart of a resource allocation method based on smart manufacturing according to an exemplary embodiment.
Detailed Description
The present invention will be described in further detail with reference to the following detailed description and accompanying drawings. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, these information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present invention.
As shown in fig. 1, in an embodiment, the resource allocation method based on intelligent manufacturing of the present invention may specifically include the following steps:
s1, the data acquisition unit of the order analysis server acquires all historical production orders from the database and acquires the resource allocation scheme of each historical production order.
Optionally, the resource allocation scheme includes a resource demand type and a resource demand amount of the production order, and the resource allocation scheme includes a plurality of resource allocation items, each resource allocation item representing a mapping relationship between the resource demand type and the resource demand amount.
S2, the attribute extraction unit of the order analysis server extracts the order attribute of each historical production order and the resource attribute of the corresponding resource allocation scheme, and the attribute mapping unit performs mapping processing according to the order attribute and the resource attribute of each historical production order to obtain the resource allocation attribute of each historical production order.
Optionally, each historical production order corresponds to a unique resource allocation scheme, and the resource allocation attributes include: the order attribute and the resource attribute have a one-to-one mapping relation. . The order attributes include: product type, product model, product quantity and quality requirements. The resource attributes include: equipment resource amount, staff resource amount, and material resource amount.
In one embodiment, the product model number is used to number products, with different products corresponding to a unique product model number. The quality requirement is the precision of the product, and the higher the precision, the more resources need to be consumed. The product quantity is the number of pieces of product that need to be produced in the production order. The amount of equipment resources is the amount of equipment resources required for the production order. The employee resource amount is the amount of employee resource required for the production order. The amount of material resources is the amount of material required for the production order.
S3, generating a historical production order set according to all historical production orders, obtaining the attribute correlation degree of each order attribute to each resource attribute from the database, obtaining the criticality of each order attribute to each resource attribute according to the attribute correlation degree of each order attribute to each resource attribute and the historical production order set, and normalizing the criticality of each order attribute to each resource attribute to obtain the consumption coefficient of each order attribute to each resource attribute.
In one embodiment, the cost factor is calculated as:
optionally, v (i, j) is a criticality of the ith order attribute to the jth resource attribute, u (k, l) is a consumption coefficient of the kth order attribute to the ith resource attribute, i is an index of the order attribute, j is an index of the resource attribute, m is a number of the order attributes, n is a number of the resource attributes, and v (k, l) is a criticality of the kth order attribute to the ith resource attribute.
Specifically, the attribute relevance is the relevance degree between the corresponding order attribute and the corresponding resource attribute, and a higher attribute relevance indicates a higher relevance degree between the corresponding order attribute and the corresponding resource attribute. For example, the attribute relevance of the product quantity and the material resource quantity is greater than the attribute relevance of the product quantity and the employee resource quantity. The criticality of the order attribute to the resource attribute is the importance degree of the order attribute to the resource attribute, for example, the criticality of the product quantity to the equipment resource quantity is smaller than the criticality of the product quantity to the material resource quantity. The consumption coefficient of the order attribute to the resource attribute is a weight value of the consumption of the order attribute to the resource attribute, and the higher the consumption coefficient is, the more the resource amount of the corresponding resource attribute is consumed by the corresponding order attribute is.
S4, the resource management terminal sends the target production order to the resource configuration server, and the resource configuration server performs similarity measurement according to the order attribute of the target production order and the order attribute of the historical production order to obtain the similarity between the order attribute of the historical production order and the order attribute of the target production order.
Specifically, an attribute feature extraction unit of the resource configuration server extracts order attributes of the target production order, and extracts order attribute features of the target production order according to the order attributes of the target production order;
an attribute feature extraction unit of the resource configuration server extracts the order attribute feature of each historical production order according to the order attribute of each historical production order;
and an attribute feature extraction unit of the resource configuration server obtains the similarity between the order attribute of each historical production order and the order attribute of the target production order according to the order attribute feature of the target production order and the order attribute feature of each historical production order.
Optionally, the resource management terminal is a device with a communication function and a data transmission function, which is used by a manager performing resource configuration, and includes: smart phones, tablet computers, notebook computers, and desktop computers. The order attribute features are features of order attributes. The target production order is a production order requiring resource allocation.
S5, the resource configuration server obtains historical process data from the database, obtains the resource configuration parameters of each historical production order and the order homology of each historical production order and the target production order according to the historical process data, and then corrects the resource configuration parameters according to the order homology to generate a resource configuration reference library.
In one embodiment, the modifying the resource configuration parameters by the resource configuration server according to the order homology to generate the resource configuration reference library includes:
a configuration parameter unit of the resource configuration server acquires historical process data from the database and acquires resource configuration parameters of each historical production order according to the historical process data;
the order homology unit of the resource configuration server obtains the order homology of each historical production order and the target production order according to the resource configuration parameters of each historical production order and the similarity between the order attribute of each historical production order and the order attribute of the target production order;
and the order correction unit of the resource configuration server compares the order homology of each historical production order and the target production order with a homology threshold, sends the corresponding historical production order to the resource configuration reference library when the order homology is greater than or equal to the homology threshold, corrects the resource configuration attribute of the corresponding historical production order when the order homology is less than the homology threshold, and sends the corrected historical production order to the resource configuration reference library.
Optionally, the configuration parameter unit of the resource configuration server obtains historical process data from the database, and obtains the resource configuration parameter of each historical production order according to the historical process data. The historical process data is historical production processes used historically, each historical production process has corresponding application time, and resource configurations required by different historical production processes are different. The order homology is the similarity between the historical production order and the target production order.
Specifically, the obtaining of the resource configuration parameters by the configuration parameter unit of the resource configuration server according to the historical process data includes:
the method comprises the steps that a parameter configuration unit obtains historical process data and current production process data, and obtains the application time of each historical production process and the production time of each historical production order;
the parameter configuration unit acquires the historical production process corresponding to each historical production order according to the application time of each historical production process and the production time of each historical production order;
the parameter configuration unit extracts resource consumption characteristics of all historical production processes according to historical process data and extracts resource consumption characteristics of the current production process according to the current production process data;
the method comprises the steps that a parameter configuration unit obtains the similarity between the resource consumption characteristics of the current production process and the resource consumption characteristics of each historical production process, and obtains the configuration coefficient of each historical production order according to the similarity between the resource consumption characteristics of the current production process and the resource consumption characteristics of each historical production process;
and the configuration parameter unit obtains the resource configuration parameter of each historical production order according to the resource configuration function and the configuration coefficient of each historical production order.
In one embodiment, the resource configuration parameter is calculated by the following formula:
where ξ is a resource configuration parameter, g (x) is a resource configuration function, and δ is a configuration coefficient.
S6, the resource allocation server allocates resources to the target production order according to the resource allocation reference library to generate a resource allocation scheme of the target production order, and sends the resource allocation scheme to the resource management terminal.
In one embodiment, the resource configuration server performs resource configuration on the goal production order according to the resource configuration reference library to generate the resource configuration scheme of the goal production order, including:
a resource configuration unit of a resource configuration server acquires the resource configuration attribute of each historical production order of a resource configuration reference library;
a resource configuration unit of the resource configuration server acquires order attributes of the target production orders and obtains the resource attributes of the target production orders according to the resource configuration attributes of each historical production order, the order attributes of the target production orders and the consumption coefficient of each order attribute to each resource attribute;
a resource configuration unit of the resource configuration server performs mapping processing according to the resource attribute and the order attribute of the target production order to obtain the resource configuration attribute of the target production order;
and a resource configuration unit of the resource configuration server generates a resource configuration scheme of the target production order according to the resource configuration attribute of the target production order.
According to the invention, the order homology of the target production order and the historical production order is calculated, and the resource allocation scheme of the target generation order is generated according to the order homology and the resource allocation scheme of the historical production order, so that resources required by the order generation are allocated scientifically and effectively, the resource allocation efficiency is improved, and the resource utilization rate is improved.
In one embodiment, a resource configuration system for intelligent manufacturing for performing the method of the present invention may comprise: the system comprises an order analysis server, a resource management terminal, a database and a resource configuration server, wherein the resource management terminal is in communication connection with the order analysis server and the resource configuration server respectively, and the database is in communication connection with the order analysis server and the resource configuration server respectively.
The order analysis server includes: the device comprises a data acquisition unit, an attribute extraction unit, an attribute mapping unit and a consumption coefficient unit, wherein communication connection is formed among the units.
The resource configuration server comprises: the system comprises an attribute feature extraction unit, a configuration parameter unit, an order homologous unit, an order modification unit and a resource configuration unit, wherein communication connection is formed among the units.
A data acquisition unit of the order analysis server acquires all historical production orders from a database and acquires a resource allocation scheme of each historical production order;
an attribute extraction unit of the order analysis server extracts the order attribute of each historical production order and the resource attribute of the corresponding resource configuration scheme;
an attribute mapping unit of the order analysis server performs mapping processing according to the order attributes and the resource attributes of each historical production order to obtain the resource configuration attributes of each historical production order;
a consumption coefficient unit of the order analysis server generates a historical production order set according to all historical production orders and obtains the attribute relevance of each order attribute to each resource attribute from a database;
a consumption coefficient unit of the order analysis server obtains the criticality of each order attribute to each resource attribute according to the attribute relevance of each order attribute to each resource attribute and a historical production order set, and normalizes the criticality of each order attribute to each resource attribute to obtain the consumption coefficient of each order attribute to each resource attribute;
the resource management terminal sends the target production order to the resource configuration server, and the resource configuration server carries out similarity measurement according to the order attribute of the target production order and the order attribute of the historical production order to obtain the similarity between the order attribute of the historical production order and the order attribute of the target production order;
the resource configuration server acquires historical process data from a database, obtains resource configuration parameters of each historical production order and order homology of each historical production order and a target production order according to the historical process data, and then corrects the resource configuration parameters according to the order homology to generate a resource configuration reference library;
and the resource configuration server performs resource configuration on the target production order according to the resource configuration reference library to generate a resource configuration scheme of the target production order, and sends the resource configuration scheme to the resource management terminal.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (9)
1. A resource allocation method based on intelligent manufacturing is characterized in that a data acquisition unit of an order analysis server acquires all historical production orders from a database and acquires a resource allocation scheme of each historical production order;
an attribute extraction unit of the order analysis server extracts the order attribute of each historical production order and the resource attribute of the corresponding resource configuration scheme;
an attribute mapping unit of the order analysis server performs mapping processing according to the order attributes and the resource attributes of each historical production order to obtain the resource configuration attributes of each historical production order;
a consumption coefficient unit of the order analysis server generates a historical production order set according to all historical production orders and obtains the attribute relevance of each order attribute to each resource attribute from a database;
the consumption coefficient unit obtains the criticality of each order attribute to each resource attribute according to the attribute relevance of each order attribute to each resource attribute and the historical production order set, and normalizes the criticality of each order attribute to each resource attribute to obtain the consumption coefficient of each order attribute to each resource attribute;
the resource management terminal sends the target production order to the resource configuration server, and the resource configuration server carries out similarity measurement according to the order attribute of the target production order and the order attribute of the historical production order to obtain the similarity between the order attribute of the historical production order and the order attribute of the target production order;
the resource configuration server acquires historical process data from a database, obtains resource configuration parameters of each historical production order and order homology of each historical production order and a target production order according to the historical process data, and then corrects the resource configuration parameters according to the order homology to generate a resource configuration reference library;
and the resource configuration server performs resource configuration on the target production order according to the resource configuration reference library to generate a resource configuration scheme of the target production order, and sends the resource configuration scheme to the resource management terminal.
2. The method of claim 1, wherein the resource configuration attributes comprise an order attribute and a resource attribute.
3. The method of claim 2, wherein the resource configuration server performing similarity measurement according to the order attribute of the goal production order and the order attribute of the historical production order to obtain the similarity between the order attribute of the historical production order and the order attribute of the goal production order comprises:
an attribute feature extraction unit of the resource configuration server extracts order attributes of the target production order and extracts order attribute features of the target production order according to the order attributes of the target production order;
an attribute feature extraction unit of the resource configuration server extracts the order attribute feature of each historical production order according to the order attribute of each historical production order;
and an attribute feature extraction unit of the resource configuration server obtains the similarity between the order attribute of each historical production order and the order attribute of the target production order according to the order attribute feature of the target production order and the order attribute feature of each historical production order.
4. The method of claim 3, wherein the resource configuration server modifying the resource configuration parameters according to the order homology to generate the resource configuration reference library comprises:
a configuration parameter unit of the resource configuration server acquires historical process data from the database and acquires resource configuration parameters of each historical production order according to the historical process data;
the order homology unit of the resource configuration server obtains the order homology of each historical production order and the target production order according to the resource configuration parameters of each historical production order and the similarity between the order attribute of each historical production order and the order attribute of the target production order;
and the order correction unit of the resource configuration server compares the order homology of each historical production order and the target production order with a homology threshold, sends the corresponding historical production order to the resource configuration reference library when the order homology is greater than or equal to the homology threshold, corrects the resource configuration attribute of the corresponding historical production order when the order homology is less than the homology threshold, and sends the corrected historical production order to the resource configuration reference library.
5. The method according to one of claims 1 to 4, wherein the order attributes comprise: product type, product model, product quantity and quality requirements.
6. The method of claim 5, wherein the resource configuration server performing resource configuration on the goal production order according to the resource configuration reference library to generate the resource configuration scheme of the goal production order comprises:
a resource configuration unit of a resource configuration server acquires the resource configuration attribute of each historical production order of a resource configuration reference library;
a resource configuration unit of the resource configuration server acquires order attributes of the target production orders and obtains the resource attributes of the target production orders according to the resource configuration attributes of each historical production order, the order attributes of the target production orders and the consumption coefficient of each order attribute to each resource attribute;
a resource configuration unit of the resource configuration server performs mapping processing according to the resource attribute and the order attribute of the target production order to obtain the resource configuration attribute of the target production order;
and a resource configuration unit of the resource configuration server generates a resource configuration scheme of the target production order according to the resource configuration attribute of the target production order.
7. The method of claim 6, wherein obtaining the resource allocation parameters from the historical process data by the configuration parameter unit of the resource allocation server comprises:
the method comprises the steps that a parameter configuration unit obtains historical process data and current production process data, and obtains the application time of each historical production process and the production time of each historical production order;
the parameter configuration unit acquires the historical production process corresponding to each historical production order according to the application time of each historical production process and the production time of each historical production order;
the parameter configuration unit extracts resource consumption characteristics of all historical production processes according to historical process data and extracts resource consumption characteristics of the current production process according to the current production process data;
the method comprises the steps that a parameter configuration unit obtains the similarity between the resource consumption characteristics of the current production process and the resource consumption characteristics of each historical production process, and obtains the configuration coefficient of each historical production order according to the similarity between the resource consumption characteristics of the current production process and the resource consumption characteristics of each historical production process;
and the configuration parameter unit obtains the resource configuration parameter of each historical production order according to the resource configuration function and the configuration coefficient of each historical production order.
8. The method of one of claims 2 to 7, wherein the resource attributes comprise an amount of equipment resources, an amount of staff resources and an amount of material resources.
9. The method of claim 8, wherein the order homology is a similarity of a historical production order and a goal production order.
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