A smart workshop system design method based on data visualization technology

Abstract

The present invention relates to a method for designing a smart workshop system based on data visualization technology, the method comprising: obtaining an equipment topology diagram of the smart workshop; determining the correlation between the energy consumption and output value of the product to be designed based on the equipment topology diagram; and designing the smart workshop system according to the correlation. The method of the present invention determines the correlation between the energy consumption and output value of the product to be designed based on the equipment topology diagram, and designs the smart workshop system. Individual products are no longer involved, but the design is based on the equipment topology diagram and the correlation between the product energy consumption and output value. The process characteristics are reflected through the equipment topology diagram, and the correlation between the product energy consumption and output value is designed to ensure the controllability. Therefore, the method of the present invention ensures the controllability of the process on the product cost.

Description

Technical Field

[0001] The present invention relates to the field of big data technology, and in particular to a smart workshop system design method based on data visualization technology. Background Art

[0002] my country is a manufacturing powerhouse, and manufacturing is an important part of the national economy. The profit of a manufacturer depends not only on revenue but also on cost. Therefore, in order to reduce costs, many manufacturers will evaluate the energy consumption per unit product to reduce costs and increase profits.

[0003] However, the production of products is achieved through the close connection between multiple processes in the workshop, and the existing solutions only evaluate the products individually, which cannot reflect the constraints of the process on product costs. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the above-mentioned shortcomings and deficiencies of the prior art, the present invention provides a supplier dynamic evaluation management method based on big data technology.

[0006] (II) Technical solution

[0007] In order to achieve the above object, the main technical solutions adopted by the present invention include:

[0008] A smart workshop system design method based on data visualization technology, the method comprising:

[0009] S101, obtaining a device topology map of the smart workshop;

[0010] S102, determining the correlation between energy consumption and output value of the product to be designed based on the equipment topology diagram;

[0011] S103: Designing the smart workshop system according to the degree of association.

[0012] Optionally, the S101 includes:

[0013] Obtain the connection relationship and business chain between devices in the smart workshop; the business chain represents the devices involved in the business and the upstream and downstream relationships between the devices;

[0014] If there is a connection relationship between the two devices, it is determined that there is a physical connection relationship between the two devices;

[0015] If there is no connection relationship between the two devices, but the two devices have an upstream and downstream relationship in the service chain, it is determined that there is a service relationship between the two devices;

[0016] Determine the device topology diagram based on physical connection relationships and business relationships.

[0017] Optionally, the device topology graph is a directed graph, each device corresponds to a point in the device topology graph, if there is a physical connection relationship between any two devices i and j, then there is a solid line edge between the point corresponding to device i and the point corresponding to device j, and the direction of the edge is the same as the production flow direction in the physical connection relationship, if there is a business relationship between any two devices u and v, then there is a dotted line edge between the point corresponding to device u and the point corresponding to device v, and the direction of the edge is the same as the business flow direction in the business relationship;

[0018] The points in the device topology map have point weights;

[0019] The weight of any point a

[0020] in, is the total number of solid edges connected to any point a, is the total number of dashed edges connected to any point a, w 1 is the edge weight of the solid line, w 2 is the weight of the dashed edge;

[0021] The edges in the device topology graph have edge weights;

[0022] If any edge e is a solid edge, then the weight w of any edge e is e =w 1 , if any edge e is a dotted edge, then the weight w of any edge e is e =w 2 ;

[0023] Among them, w 1 is the edge weight of the solid line, w 2 is the dashed edge weight.

[0024] Optionally, the device includes device indicators;

[0025] The equipment indicators include: equipment asset indicators, equipment usage indicators, and equipment performance indicators;

[0026] The equipment asset indicators include: equipment purchase price, equipment depreciation rate;

[0027] Equipment usage indicators include: equipment usage time, calendar time utilization;

[0028] Equipment performance indicators include: remaining warranty days, equipment failure rate, mean time between failures, mean repair time, and equipment overall efficiency.

[0029] Optionally, the w 1 Follow these steps:

[0030] S201, determine the equipment involved in each product;

[0031] S202: For each product, execute steps S202-1 and S202-2.

[0032] S202-1, for all devices involved in any product x, determine the total number of devices that have physical connections The total number of devices that have business relationships

[0033] S202-2, if Then calculate the first component as like Then the first component is calculated to be empty;

[0034] S203, determining the maximum value of the first component among all non-empty first components;

[0035] S204, determining the total number of products whose first component is 0 and the total number of products whose first component is empty among all products;

[0036] S205, if the total number of products whose first component is empty is not 0, then w 1 = maximum value of the first component * total number of products with the first component being 0 / total number of products with the first component being empty. If the total number of products with the first component being empty is 0, then w 1 = the maximum value of the first component.

[0037] Optionally, the w 2 Follow these steps:

[0038] S301, determine the equipment involved in each product;

[0039] S302: For each product, execute steps S302-1 and S302-2.

[0040] S302-1, for all devices involved in any product x, determine the total number of devices that have a physical connection relationship The total number of devices that have business relationships

[0041] S302-2, if Then calculate the second component as like Then the second component is calculated to be empty;

[0042] S303, determining the maximum value of the second component among all non-empty second components;

[0043] S304, determining the total number of products whose second component is 0 and the total number of products whose second component is empty among all products;

[0044] S305, if the total number of products whose second component is empty is not 0, then w 2 = maximum value of the second component * total number of products with the second component being 0 / total number of products with the second component being empty. If the total number of products with the second component being empty is 0, then w 2 = the maximum value of the second component.

[0045] Optionally, the S102 includes:

[0046] S102-1, determining the equipment involved in the product to be designed;

[0047] S102-2, generating a sub-graph to be designed from the device topology graph, wherein the points in the sub-graph to be designed are points corresponding to the devices involved in the product to be designed;

[0048] S102-3, determining the energy consumption-to-output ratio of each point in the sub-graph to be designed;

[0049] S102-4, determining the correlation between the energy consumption and output value of the product to be designed according to the energy consumption-to-output value ratio.

[0050] Optionally, the S102-3 includes:

[0051] For any point y in the subgraph to be designed,

[0052] Determine the rated maximum output of the device corresponding to any point y The current average output ave associated with the product to be designed y , current energy consumption eng y ;

[0053]

[0054] Among them, w y is the weight of any point y, e y is the side coefficient at any point y.

[0055] Optionally, the e y Determine by following these steps:

[0056] Determine the directions of all edges at any point y;

[0057] Determine the number of solid edges pointing to any point y The number of dashed edges

[0058] Determine the number of solid edges from any point y. The number of dashed edges

[0059] Sure

[0060] Optionally, the S102-4 includes:

[0061] Determine the mean, maximum and minimum values ​​of the energy consumption output value of each point in the above sub-graph to be designed;

[0062]

[0063] (III) Beneficial effects

[0064] Obtain an equipment topology diagram of the smart workshop; determine the correlation between the energy consumption and output value of the product to be designed based on the equipment topology diagram; design the smart workshop system based on the correlation, no longer involving individual products, but designing based on the equipment topology diagram and the correlation between the product energy consumption and output value. The equipment topology diagram reflects the process characteristics, and the correlation between the product energy consumption and output value is designed to ensure control, thereby ensuring the control of the process on the product cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 A schematic diagram of a flow chart of a smart workshop system design method based on data visualization technology provided by an embodiment of the present invention;

[0066] Figure 2 A schematic diagram of a device topology diagram provided in accordance with an embodiment of the present invention. DETAILED DESCRIPTION

[0067] In order to better explain the present invention and facilitate understanding, the present invention is described in detail below through specific implementation modes in conjunction with the accompanying drawings.

[0068] The production of products is achieved through the close connection between multiple processes in the workshop, and the existing solutions are only separate product evaluations, which cannot reflect the constraints of processes on product costs. Based on this, the present invention provides a smart workshop system design method based on data visualization technology, obtaining the equipment topology of the smart workshop; determining the correlation between the energy consumption and output value of the product to be designed based on the equipment topology; designing the smart workshop system according to the correlation, no longer involving individual products, but based on the equipment topology and the correlation between product energy consumption and output value. The process characteristics are reflected through the equipment topology, and the correlation between product energy consumption and output value is designed to ensure the constraints. Therefore, the method of the present invention ensures the constraints of the process on product costs.

[0069] See also Figure 1 The implementation process of the blockchain-based government data tracing method provided in this embodiment is as follows:

[0070] S101, obtaining a device topology map of the smart workshop.

[0071] The implementation process of this step is:

[0072] S101-1, obtain the connection relationship and business chain between devices in the smart workshop.

[0073] Among them, the business chain represents the equipment involved in the business and the upstream and downstream relationships between the equipment.

[0074] S101 - 2 , if there is a connection relationship between the two devices, determine that there is a physical connection relationship between the two devices.

[0075] If there is no connection relationship between the two devices, but the two devices have an upstream and downstream relationship in the service chain, it is determined that there is a service relationship between the two devices.

[0076] Among them, the physical connection relationship is a direct connection between devices, and the business relationship is that the devices are not directly connected, but the output of one device is the input of another device.

[0077] If a business relationship exists between two devices and the two devices are directly connected, then only a physical connection relationship is considered to exist between the two identities.

[0078] For example, the output of device 1 is the input of device 2. If there is a transmission belt between device 1 and device 2, the input of device 1 can be directly delivered to device 2, then there is a physical connection relationship between device 1 and device 2. If there is no transmission belt between device 1 and device 2, the output of device 1 needs to be left to stand for 1 day before the user delivers it to device 2, then there is a business relationship between device 1 and device 2.

[0079] S101 - 3 , determining a device topology diagram according to the physical connection relationship and the service relationship.

[0080] The device topology graph is a directed graph, and each device corresponds to a point in the device topology graph, such as Figure 2 As shown, if there is a physical connection relationship between any two devices i and j, there is a solid edge between the point corresponding to device i and the point corresponding to device j, and the direction of the edge is the same as the production flow in the physical connection relationship (for example, the output of device i is the input of device j). If there is a business relationship between any two devices u and v, there is a dotted edge between the point corresponding to device u and the point corresponding to device v, and the direction of the edge is the same as the business flow in the business relationship (for example, device v works based on the output of device u).

[0081] In addition, the points in the device topology graph have point weights, and the edges in the device topology graph have edge weights.

[0082] The weight of any point a

[0083] in, is the total number of solid edges connected to any point a, is the total number of dashed edges connected to any point a, w 1 is the edge weight of the solid line, w 2 is the dashed edge weight.

[0084] If any edge e is a solid edge, then the weight w of any edge e is e =w 1 , if any edge e is a dotted edge, then the weight w of any edge e e =w 2 .

[0085] ·w 1 Follow these steps:

[0086] S201, determine the equipment involved in each product.

[0087] A product may be completed through the cooperation of multiple devices. This step determines the equipment involved in each product.

[0088] There may be duplication of equipment involved in different products.

[0089] S202: For each product, execute steps S202-1 and S202-2.

[0090] S202-1, for all devices involved in any product x, determine the total number of devices that have physical connections The total number of devices that have business relationships

[0091] S202-2, if Then calculate the first component as like Then the first component is calculated to be empty.

[0092] S203, determining the maximum value of the first component among all non-empty first components.

[0093] S204, determining the total number of products whose first component is 0 and the total number of products whose first component is empty among all products.

[0094] S205, if the total number of products whose first component is empty is not 0, then w 1 = maximum value of the first component * total number of products with the first component being 0 / total number of products with the first component being empty. If the total number of products with the first component being empty is 0, then w 1 = the maximum value of the first component.

[0095] ·w 2 Follow these steps:

[0096] S301, determine the equipment involved in each product.

[0097] S302: For each product, execute steps S302-1 and S302-2.

[0098] S302-1, for all devices involved in any product x, determine the total number of devices that have a physical connection relationship The total number of devices that have business relationships

[0099] S302-2, if Then calculate the second component as like Then the second component is calculated to be empty.

[0100] S303: Determine the maximum value of the second component among all non-empty second components.

[0101] S304, determining the total number of products whose second component is 0 and the total number of products whose second component is empty among all products.

[0102] S305, if the total number of products whose second component is empty is not 0, then w 2 = maximum value of the second component * total number of products with the second component being 0 / total number of products with the second component being empty. If the total number of products with the second component being empty is 0, then w 2 = the maximum value of the second component.

[0103] Through step S101, the equipment topology diagram can be obtained. The points in the diagram represent the equipment, the edges in the diagram represent the relationship between equipment and time, the point weight represents the relationship between the equipment corresponding to the point and other equipment, and the edge weight represents the situation of the product corresponding to the edge. In other words, the equipment topology diagram can reflect the relationship between products, the relationship between equipment, and the relationship between equipment and products, that is, the process characteristics. The intelligent workshop system design is carried out through the equipment topology diagram, which ensures the restriction of the process on product cost.

[0104] Additionally, the device includes device metrics.

[0105] Equipment indicators include: equipment asset indicators, equipment usage indicators, and equipment performance indicators.

[0106] Equipment asset indicators include: equipment purchase price and equipment depreciation rate.

[0107] Equipment usage indicators include: equipment usage time and calendar time utilization.

[0108] Equipment performance indicators include: remaining warranty days, equipment failure rate, mean time between failures, mean repair time, and equipment overall efficiency.

[0109] Among them, calendar time utilization = actual working time / planned working time.

[0110] Equipment failure rate = number of shutdowns due to failures / actual equipment operating time.

[0111] Mean time between failures = total trouble-free operation time / number of failures.

[0112] Average repair time = total time consumed in maintenance / number of maintenance times.

[0113] Equipment comprehensive efficiency = equipment output of qualified products / theoretical output during planned working hours.

[0114] Equipment indicators describe the current operating status of the equipment, and the smart workshop system can be designed based on the equipment indicators.

[0115] S102: Determine the correlation between the energy consumption and output value of the product to be designed based on the equipment topology diagram.

[0116] This is achieved through the following process:

[0117] S102-1, determine the equipment involved in the product to be designed.

[0118] S102-2, generating a sub-graph to be designed from the device topology graph.

[0119] The points in the subgraph to be designed are points corresponding to the equipment involved in the product to be designed.

[0120] That is, the subgraph to be designed only includes the devices determined in S102 - 1 and the edges between the devices.

[0121] S102-3, determine the energy consumption-to-output ratio of each point in the sub-graph to be designed.

[0122] For example, for any point y in the subgraph to be designed,

[0123] 1. Determine the rated maximum output of the device corresponding to any point y The current average output ave associated with the product to be designed y , current energy consumption eng y .

[0124] 2.

[0125] Among them, w y is the weight of any point y, e y is the side coefficient at any point y.

[0126] e y Determine by following these steps:

[0127] Determine the directions of all edges at any point y.

[0128] Determine the number of solid edges pointing to any point y The number of dashed edges

[0129] Determine the number of solid edges that are pointed out from any point y The number of dashed edges

[0130] Sure

[0131] S102-4, determining the correlation between the energy consumption and output value of the product to be designed according to the energy consumption-to-output value ratio.

[0132] Determine the mean, maximum and minimum values ​​of the energy consumption output value of each point in the above sub-graph to be designed.

[0133]

[0134] S103, designing the smart workshop system according to the correlation.

[0135] Since the correlation is determined by the equipment topology diagram, which reflects the process characteristics, the correlation between product energy consumption and output value reflects the constraints based on the process performance. According to the correlation, the process conditions and performance (such as energy consumption, output value) of each device involved in the product to be designed can be obtained. The equipment index describes the current operating status of the equipment. According to the correlation and equipment index, the equipment can be designed, the process can be designed, and the system can also be designed. This embodiment does not limit the design process.

[0136] The method provided in this embodiment obtains the equipment topology map of the smart workshop; determines the correlation between the energy consumption and output value of the product to be designed based on the equipment topology map; designs the smart workshop system according to the correlation, and no longer involves individual products. Instead, the design is based on the equipment topology map and the correlation between the product energy consumption and output value. The process characteristics are reflected through the equipment topology map, and the correlation between the product energy consumption and output value is designed to ensure the controllability, thereby ensuring the controllability of the process on the product cost.

[0137] In order to better understand the above technical solution, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a clearer and more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0138] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0139] The present invention is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present invention. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions.

[0140] It should be noted that in the claims, any reference numerals placed between brackets shall not be construed as limiting the claims. The word "comprising" does not exclude the presence of components or steps not listed in the claims. The word "a" or "an" preceding a component does not exclude the presence of a plurality of such components. The invention may be implemented by means of hardware comprising several different components and by means of a suitably programmed computer. In the claims enumerating several means, several of these means may be embodied by the same hardware. The use of the words first, second, third, etc., is for convenience of expression only and does not indicate any order. These words may be understood as part of the component name.

[0141] In addition, it should be noted that, in the description of this specification, the description of the terms "one embodiment", "some embodiments", "embodiment", "example", "specific example" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0142] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments after knowing the basic creative concept. Therefore, the claims should be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present invention.

[0143] Obviously, those skilled in the art can make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention should also include these modifications and variations.

Claims

1. A smart workshop system design method based on data visualization technology, characterized in that: The method comprises: S101, obtaining a device topology map of the smart workshop; S102, determining the correlation between energy consumption and output value of the product to be designed based on the equipment topology diagram; S103, designing the smart workshop system according to the correlation degree; The S101 includes: Obtain the connection relationship and business chain between devices in the smart workshop; the business chain represents the devices involved in the business and the upstream and downstream relationships between the devices; If there is a connection relationship between the two devices, it is determined that there is a physical connection relationship between the two devices; If there is no connection relationship between the two devices, but the two devices have an upstream and downstream relationship in the service chain, it is determined that there is a service relationship between the two devices; Determine the device topology diagram based on the physical connection relationship and business relationship; The device topology graph is a directed graph, and each device corresponds to a point in the device topology graph. If there is a physical connection relationship between any two devices i and j, there is a solid edge between the point corresponding to device i and the point corresponding to device j, and the direction of the edge is the same as the production flow direction in the physical connection relationship. If there is a business relationship between any two devices u and v, there is a dotted edge between the point corresponding to device u and the point corresponding to device v, and the direction of the edge is the same as the business flow direction in the business relationship. Wherein, the points in the device topology map have point weights; The weight of any point s in, is the total number of solid edges connected to any point a, is the total number of dashed edges connected to any point a, w 1 is the edge weight of the solid line, w 2 is the weight of the dashed edge; The edges in the device topology graph have edge weights; If any edge e is a solid edge, then the weight w of any edge e is e =w 1 , if any edge e is a dotted edge, then the weight w of any edge e is e =w 2 ; Among them, w 1 is the edge weight of the solid line, w 2 is the dashed edge weight.

2. The method according to claim 1, characterized in that The equipment includes equipment indicators; The equipment indicators include: equipment asset indicators, equipment usage indicators, and equipment performance indicators; The equipment asset indicators include: equipment purchase price, equipment depreciation rate; Equipment usage indicators include: equipment usage time, calendar time utilization; Equipment performance indicators include: remaining warranty days, equipment failure rate, mean time between failures, mean repair time, and equipment overall efficiency.

3. The method according to claim 1, characterized in that The w 1 Follow these steps: S201, determine the equipment involved in each product; S202: For each product, execute steps S202-1 and S202-2. S202-1, for all devices involved in any product x, determine the total number of devices that have physical connections The total number of devices that have business relationships S202-2, if Then calculate the first component as like Then the first component is calculated to be empty; S203, determining the maximum value of the first component among all non-empty first components; S204, determining the total number of products whose first component is 0 and the total number of products whose first component is empty among all products; S205, if the total number of products whose first component is empty is not 0, then w 1 = maximum value of the first component * total number of products with the first component being 0 / total number of products with the first component being empty. If the total number of products with the first component being empty is 0, then w 1 = the maximum value of the first component.

4. The method according to claim 2, characterized in that: The w 2 Follow these steps: S301, determine the equipment involved in each product; S302: For each product, execute steps S302-1 and S302-2. S302-1, for all devices involved in any product x, determine the total number of devices that have a physical connection relationship The total number of devices that have business relationships S302-2, if Then calculate the second component as like Then the second component is calculated to be empty; S303, determining the maximum value of the second component among all non-empty second components; S304, determining the total number of products whose second component is 0 and the total number of products whose second component is empty among all products; S305, if the total number of products whose second component is empty is not 0, then w 2 = maximum value of the second component * total number of products with the second component being 0 / total number of products with the second component being empty. If the total number of products with the second component being empty is 0, then w 2 = the maximum value of the second component.

5. The method according to claim 2, characterized in that: The S102 includes: S102-1, determining the equipment involved in the product to be designed; S102-2, generating a sub-graph to be designed from the device topology graph, wherein the points in the sub-graph to be designed are points corresponding to the devices involved in the product to be designed; S102-3, determining the energy consumption-to-output ratio of each point in the sub-graph to be designed; S102-4, determining the correlation between the energy consumption and output value of the product to be designed according to the energy consumption-to-output value ratio.

6. The method according to claim 5, characterized in that The S102-3 includes: For any point y in the subgraph to be designed, Determine the rated maximum output of the device corresponding to any point y The current average output ave associated with the product to be designed y , current energy consumption eng y ; The energy consumption of any point y Among them, w y is the weight of any point y, e y is the side coefficient at any point y.

7. The method according to claim 6, characterized in that The y Determine by following these steps: Determine the directions of all edges at any point y; Determine the number of solid edges pointing to any point y The number of dashed edges Determine the number of solid edges from any point y. The number of dashed edges Sure 8. The method according to claim 5, characterized in that The S102-4 includes: Determine the mean, maximum and minimum values ​​of the energy consumption output value of each point in the above sub-graph to be designed;

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