A method of correlating physical data points and business data points

Abstract

A method for associating a physical data point and a business data point includes obtaining a business model hierarchy, parsing a name of the physical data point, and associating the physical data point to a business data point according to a parsing result of the name of the physical data point and a name of the business model hierarchy. An apparatus for associating a physical data point and a business data point is also disclosed.

Description

Technical Field

[0001] Embodiments of this disclosure relate to the field of the Internet of Things (IoT), and more specifically, to a method for associating physical data points and business data points. Background Technology

[0002] In the field of the Internet of Things (IoT), comprehensive perception of the production site is achieved by installing and deploying intelligent monitoring instruments, sensors, and other equipment. Physical data points are connected to automatic control systems or information systems, and their parameter values ​​and statuses provide monitoring functions for production parameters and status at industrial control stations, assisting on-site production management and providing decision-making support. By combining process flow diagrams with the locations of physical data points or related business data points in the business model, on-site managers can better understand the business implications of each physical or business data point.

[0003] However, IoT platforms access diverse data sources with varying formats and naming conventions. Many information systems rely on manual parsing of physical data points, a time-consuming and labor-intensive process. While some systems have implemented physical data point acquisition and access through edge computing, issues remain, such as cumbersome data point definitions and difficulty in identification. Summary of the Invention

[0004] At least one embodiment of this disclosure provides a method for associating physical data points of an Internet of Things (IoT) with business data points of a business model. After acquiring physical data points, the method quickly establishes a correspondence between physical data points and business data points based on business models such as enterprise administrative organization, industrial management level, production unit level, equipment, and business data points, thereby assigning business meaning to the data points.

[0005] At least one embodiment of this disclosure provides a method for associating physical data points and service data points, including:

[0006] Obtain the hierarchical structure of the business model;

[0007] The names of the physical data points are resolved; and

[0008] Based on the resolution result of the physical data point name and the name of the business model hierarchy, the physical data point is associated with the business data point.

[0009] In one embodiment of this disclosure, the method further includes, before parsing the name of the physical data point:

[0010] Determine the naming rules for physical data points; and

[0011] Name the physical data points according to the aforementioned naming rules.

[0012] In one embodiment of this disclosure, resolving the name of the physical data point includes:

[0013] The names of the physical data points are split to obtain the hierarchical names of the levels to which the physical data points belong.

[0014] In one embodiment of this disclosure, obtaining the business model hierarchy includes: obtaining the name of the business model hierarchy level by level according to the administrative organizational structure, industrial management unit, production unit and equipment.

[0015] In one embodiment of this disclosure, matching the physical data point to a business data point based on the resolution result of the physical data point name and the hierarchical structure of the business model includes:

[0016] The hierarchical names of the physical data points are compared with the hierarchical names of the business model hierarchy to find the hierarchy that matches the physical data points; and

[0017] Associate the physical data points with the business data points of the business model at the level that matches the physical data points.

[0018] In one embodiment of this disclosure, the method further includes:

[0019] Acquire business-meaning data generated from the physical data points; and

[0020] Save the data.

[0021] At least one embodiment of this disclosure also provides an apparatus for associating physical data points and service data points, comprising:

[0022] The acquisition module is configured to acquire the hierarchical structure of the business model;

[0023] The parsing module is configured to parse the names of the physical data points;

[0024] The matching module is configured to match the physical data points with the hierarchical levels of the business model; and

[0025] The association module is configured to associate physical data points with business data points of a business model at a level that matches the physical data points.

[0026] In one embodiment of this disclosure, the apparatus further includes:

[0027] The naming module is configured to determine the naming rules for physical data points and name the physical data points according to the naming rules.

[0028] In one embodiment of this disclosure, the apparatus further includes:

[0029] The data acquisition module is configured to acquire business-meaning data generated by the physical data points; and

[0030] The data storage module is configured to store the data.

[0031] In one embodiment of this disclosure, the acquisition module is configured to acquire the hierarchical structure of the business model step by step according to the administrative organizational structure, industrial management unit, production unit and equipment.

[0032] In one embodiment of this disclosure, the parsing module is configured to parse physical data points to obtain the hierarchical names of the levels to which the physical data points belong.

[0033] In one embodiment of this disclosure, the matching module is configured to find the level that matches the physical data point by comparing the hierarchical name of the level to which the physical data point belongs with the hierarchical name of the business model hierarchy starting from the root node.

[0034] At least one embodiment of this disclosure also provides a non-volatile storage medium having a processor-executable computer program stored thereon, the processor being configured to perform operations of any of the methods for associating physical data points and service data points described above in response to the processor executing the computer program.

[0035] At least one embodiment of this disclosure also provides a computer program product including a processor-executable computer program, wherein when the computer program is executed by a processor, the processor is configured to perform the operation of any of the methods described above for associating physical data points and service data points.

[0036] In the apparatus for associating physical data points and business data points provided according to the embodiments of this disclosure, a process of hierarchical splitting, parsing, and automatic batch matching based on naming rules is added between the physical data points and the business data points. This enables efficient, low-cost, and low-code development and access of physical data points, facilitating enterprises to achieve unified digital and intelligent management and control, giving data points business meaning, and providing data sources and decision-making basis for other upper-layer business applications, thereby achieving the goal of significantly improving quality, reducing costs and increasing efficiency, and maximizing data value. Attached Figure Description

[0037] Figure 1 A flowchart illustrating a method for associating physical data points and service data points according to an embodiment of this disclosure is shown;

[0038] Figure 2A flowchart is shown of a method for associating physical data points and service data points according to yet another embodiment of the present disclosure;

[0039] Figure 3 A flowchart is shown of a method for associating physical data points and service data points according to another embodiment of the present disclosure;

[0040] Figure 4 A structural block diagram of an apparatus for associating physical data points and service data points according to an embodiment of the present disclosure is shown;

[0041] Figure 5 A structural block diagram of an apparatus for associating physical data points and service data points according to yet another embodiment of the present disclosure is shown; and

[0042] Figure 6 A structural block diagram of an apparatus for associating physical data points and service data points according to another embodiment of the present disclosure is shown. Detailed Implementation

[0043] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. Through these descriptions, the features and advantages of the present application will become clearer and more apparent.

[0044] The term “exemplary” as used herein means “serving as an example, embodiment, or illustration.” Any embodiment illustrated herein as “exemplary” is not necessarily to be construed as superior to or better than other embodiments. Although various aspects of embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless specifically indicated otherwise.

[0045] Furthermore, the technical features involved in the different embodiments of this application described below can be combined with each other as long as they do not conflict with each other.

[0046] A large number of instruments and sensors were deployed on-site, and the Internet of Things (IoT) connected to these instruments and devices to acquire a large number of physical data points. However, since these physical data points do not have business significance, the application of information systems using these collected physical data points suffers from problems such as cumbersome technical implementation, low customizability, and high complexity, failing to maximize the value of the data.

[0047] To address this, embodiments of this disclosure provide a method and apparatus for associating physical data points and business data points, mapping physical data points to business data points, assigning business meaning to data points, providing data sources and decision-making basis for other upper-layer business applications, and achieving the goal of significantly improving quality, reducing costs and increasing efficiency, and maximizing data value.

[0048] At least one embodiment of this disclosure provides a method for associating physical data points and service data points, such as Figure 1 As shown, the method includes:

[0049] S01, Obtain the hierarchical structure of the business model;

[0050] S02, resolves the name of the physical data point; and

[0051] S03, based on the parsing result of the name of the physical data point and the name of the business model hierarchy, associate the physical data point with the business data point.

[0052] Before physical data points are associated with business data points, instruments and sensors are already deployed in the field and connected to the network, forming the Internet of Things (IoT).

[0053] A hierarchical structure for the business model of this Internet of Things (IoT) is predefined. These hierarchical structures form the nodes of a hierarchical structure tree, with each hierarchical structure corresponding to a business model. These hierarchical structures are organized according to the levels of industrial management units, production units, and equipment, forming a hierarchical structure tree for the business model. These hierarchical structures may also include administrative organizations. Each hierarchical structure has a unique name within its structural level, so that if each device in the IoT is named using nodes in the hierarchical structure tree, it will have a unique name.

[0054] In S01, obtaining the business model hierarchy includes: based on the administrative organization structure, industrial management unit, production unit and equipment, obtaining the business model hierarchy step by step, that is, taking the business model hierarchy tree and traversing from the root node to each leaf node to obtain the path from the root node to each leaf node, that is, obtaining the name of the hierarchical structure from the root node to each leaf node on each path.

[0055] To align with the naming conventions of the business model hierarchy, before resolving the names of physical data points, such as... Figure 2 As shown, the method for associating physical data points and business data points further includes: S04, naming the physical data points according to the naming rules for physical data points.

[0056] For example, if the names of the business model hierarchical structures of the business data points associated with a device are First Factory, First Workshop, First Production Line, First Process Unit, and First Business Data Point, then the device can be named First Factory / First Workshop / First Production Line / First Process Unit / First Business Data Point-1. If a device has multiple physical data points, they can be named First Factory / First Workshop / First Production Line / First Process Unit / First Business Data Point-1, First Factory / First Workshop / First Production Line / First Process Unit / First Business Data Point / 2, First Factory / First Workshop / First Production Line / First Process Unit / First Business Data Point-3, etc. That is, the naming rule is: the name of the business model hierarchical structure to which the business data point belongs (separated by " / ") - the standard abbreviation of the business data point - an integer sequence number starting from 1. According to this naming rule, the physical data points of the device associated with the first business data point of the first process unit of the first production line of the first workshop in the first factory can be named. If there are multiple devices, the last number is an integer sequence number starting from 1.

[0057] After a device is connected to the Internet of Things (IoT), the names of the device's physical data points need to be resolved. In step S02, when resolving the names of the device's physical data points, the names of the physical data points are broken down to obtain the hierarchical names of the levels to which the physical data points belong.

[0058] After obtaining the parsing result of the physical data point name, in S03, according to the parsing result of the physical data point name and the name of the business model hierarchy, associating the physical data point with the business data point includes: comparing the hierarchical name of the level to which the physical data point belongs with the hierarchical name of the business model hierarchy to find the level that matches the physical data point; and associating the physical data point with the business data point of the business model of the level that matches the physical data point.

[0059] After obtaining the hierarchical names of the physical data points and the hierarchical names of the business model hierarchy, the hierarchical names of the levels to which the physical data points belong are compared with the hierarchical names of the business model hierarchy to find the level that matches the physical data points.

[0060] For example, the physical data points of the device are named A1 / B1 / C1 / D1. The root node of the business model hierarchy is A1. There are two first-level child nodes, B1 and B2. The first-level child node B1 has two child nodes, C1 and C2. The first-level child node B2 has two child nodes, C3 and C4. Child node C1 has two child nodes, D1 and D2. Child node C2 has two child nodes, D3 and D4. Child node C3 has two child nodes, D5 and D6. Child node C4 has two child nodes, D7 and D8.

[0061] During the comparison, the first part of the parsed result of the physical data point name is compared with the root node. A1 matches A1. Then, the second part of the parsed result of the physical data point name is compared with the two first-level child nodes of the root node. B1 matches B1. Next, the third part of the parsed result of the physical data point name is compared with the two first-level child nodes of the first-level child node B1. C1 matches C1. Then, the fourth part of the parsed result of the physical data point name is compared with the two first-level child nodes of the second-level child node C1. D1 matches D1. Thus, it can be determined that the physical data points A1 / B1 / C1 / D1 match the business model corresponding to the node with the addressing path A1 / B1 / C1 / D1 in the hierarchical structure.

[0062] After determining the level that matches the physical data point, in S04, the physical data point is associated with the business data point of the business model of the level that matches the physical data point.

[0063] After association, business-meaning data generated by physical data points can be obtained according to the relationship between physical data points and business data points, realizing efficient access to physical data points. This enables low-cost, low-code development and provides convenience for enterprises to achieve unified digital and intelligent management.

[0064] In one embodiment of this disclosure, such as Figure 3 As shown, the method for associating physical data points and business data points further includes S05, acquiring business-meaning data generated by the physical data points; and S06, saving the data. In S06, the data can be saved in a database or on a cloud platform; this embodiment does not limit the storage location. This allows physical data points to be given business meaning, providing data sources and decision-making support for other upper-layer business applications, thereby significantly improving quality, reducing costs and increasing efficiency, and maximizing data value.

[0065] In the method for associating physical data points and business data points provided according to the embodiments of this disclosure, a process of hierarchical splitting, parsing, and automatic batch matching based on naming rules is added between the physical data points and the business data points. This enables efficient, low-cost, and low-code development and access of physical data points, facilitating enterprises to achieve unified digital and intelligent management and control, giving data points business meaning, and providing data sources and decision-making basis for other upper-level business applications, thereby achieving the goal of significantly improving quality, reducing costs and increasing efficiency, and maximizing data value.

[0066] At least one embodiment of this disclosure also provides an apparatus for associating physical data points and service data points.

[0067] Figure 4 An apparatus 400 for associating physical data points and service data points according to an embodiment of the present disclosure is shown, such as Figure 4 As shown, the device 400 includes:

[0068] Get module 401, configured to get the hierarchical structure of the business model;

[0069] The parsing module 402 is configured to parse the names of the physical data points;

[0070] Matching module 403 is configured to match the physical data points with the hierarchy of the business model; and

[0071] The association module 404 is configured to associate physical data points with business data points of a business model at a level that matches the physical data points.

[0072] In one embodiment of this disclosure, such as Figure 5 As shown, the device 400 also includes a naming module 405, configured to determine the naming rules for physical data points and name the physical data points according to the naming rules.

[0073] In one embodiment of this disclosure, such as Figure 6 As shown, the device 400 further includes: a data acquisition module 406, configured to acquire business-meaning data generated by the physical point; and a data storage module 407, configured to save the data. The data storage module 407 can store the data in a database, or it can store the data in a cloud platform. The embodiments of this disclosure do not limit this.

[0074] In one embodiment of this disclosure, the acquisition module 401 is configured to acquire the hierarchical structure of the business model step by step according to the administrative organizational structure, industrial management unit, production unit and equipment.

[0075] In one embodiment of this disclosure, the naming module 405 is configured to determine physical data point naming rules and name the physical data points according to the physical data point naming rules.

[0076] In one embodiment of this disclosure, the parsing module 402 is configured to parse physical data points to obtain the hierarchical names of the levels to which the physical data points belong.

[0077] In one embodiment of this disclosure, the matching module 403 is configured to find the level that matches the physical data point by comparing the hierarchical name of the level to which the physical data point belongs with the hierarchical name of the business model hierarchy starting from the root node.

[0078] The working principle and implementation of each module in the apparatus 400 for associating physical data points and service data points according to the embodiments of this disclosure are similar to the working principle and implementation of the method for associating physical data points and service data points according to the embodiments of this disclosure. For specific details, please refer to the above description of the method for associating physical data points and service data points according to the embodiments of this disclosure.

[0079] In the apparatus for associating physical data points and business data points according to embodiments of this disclosure, a process of hierarchical splitting, parsing, and automatic batch matching based on naming rules is added between the physical data points and the business data points. This enables efficient, low-cost, and low-code development and access of physical data points, facilitating enterprises to achieve unified digital and intelligent management and control, giving physical data points business meaning, and providing data sources and decision-making basis for other upper-layer business applications, thereby achieving the goal of significantly improving quality, reducing costs and increasing efficiency, and maximizing data value.

[0080] At least one embodiment of this disclosure also provides a non-volatile storage medium having a processor-executable computer program stored thereon, the processor being configured to perform operations of any of the methods for associating physical data points and service data points described above in response to the processor executing the computer program.

[0081] At least one embodiment of this disclosure also provides a computer program product including a processor-executable computer program, wherein when the computer program is executed by a processor, the processor is configured to perform the operation of any of the methods described above for associating physical data points and service data points.

[0082] In the description of this application, it should be noted that the terms "upper", "lower", "inner", "outer", "front", "rear", "left", "right", etc., indicate the orientation or positional relationship based on the orientation or positional relationship in the working state of this application. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0083] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. Those skilled in the art can understand the specific meaning of these terms in this application based on the specific circumstances.

[0084] The present application has been described above with reference to preferred embodiments; however, these embodiments are merely exemplary and illustrative. Various substitutions and modifications can be made to the present application based on these embodiments, all of which fall within the protection scope of the present application.

Claims

1. A method for associating physical data points and business data points, comprising: Obtain the hierarchical structure of the business model; The names of physical data points are parsed, and these names are derived according to a naming convention for physical data points. This convention includes: the name of each physical data point consists of the name of the hierarchical structure of the business model to which it belongs, the standard abbreviation of the business data point, and its sequence number; and Based on the parsing results of the physical data point names and the names of the business model hierarchical structure, the physical data points are associated with the business data points; The process of obtaining the hierarchical structure of the business model includes: obtaining the name of the hierarchical structure of the business model step by step according to the administrative organizational structure, industrial management unit, production unit and equipment. Parsing the name of the physical data point includes: splitting the name of the physical data point to obtain the hierarchical name of the level to which the physical data point belongs; Associating the physical data point with the business data point based on the parsing result of the physical data point name and the name of the business model hierarchy includes: matching the hierarchical name of the level to which the physical data point belongs with the hierarchical name of the business model hierarchy; and associating the physical data point with the business data point based on the matching result.

2. The method according to claim 1, further comprising, before parsing the name of the physical data point: Determine the naming rules for the physical data points; and Name the physical data points according to the aforementioned naming rules.

3. The method according to claim 1, wherein, Match the hierarchical names of the physical data points to the hierarchical names of the business model hierarchy; Associating the physical data points with the business data points based on the matching results includes: The hierarchical names of the levels to which the physical data point belongs are compared with the hierarchical names of the business model hierarchy to find the level that matches the physical data point. as well as Associate the physical data points with the business data points of the business model at the level that matches the physical data points.

4. The method according to any one of claims 1 to 3, further comprising: Obtain business-meaning data generated from the physical data points; as well as Save the data.

5. An apparatus for associating physical data points and service data points, comprising: The acquisition module is configured to acquire the hierarchical structure of the business model; The parsing module is configured to parse the name of the physical data point. The name of the physical data point is obtained according to the naming rules of the physical data point. The naming rules of the physical data point include: the name of the physical data point consists of the name of the hierarchical structure of the business model to which the physical data point belongs, the standard abbreviation of the business data point, and the sequence number. The matching module is configured to match the physical data points with the hierarchical levels of the business model; and The association module is configured to associate physical data points with business data points of a business model at a level that matches the physical data points. The acquisition module is configured to acquire the hierarchical structure of the business model step by step according to the administrative organizational structure, industrial management unit, production unit and equipment. The parsing module is configured to parse physical data points to obtain the hierarchical names of the levels to which the physical data points belong; The matching module is configured to match the hierarchical names of the physical data points with the hierarchical names of the business model hierarchy.

6. The apparatus according to claim 5, further comprising: The naming module is configured to determine the naming rules for the physical data points and name the physical data points according to the naming rules.

7. The apparatus according to claim 5, further comprising: The data acquisition module is configured to acquire business-meaning data generated by the physical data points; as well as The data storage module is configured to store the data.

8. The apparatus according to claim 5, wherein: The matching module is configured to find the level that matches the physical data point by comparing the hierarchical name of the level to which the physical data point belongs with the hierarchical name of the business model hierarchy starting from the root node.

9. A non-volatile storage medium having a processor-executable computer program stored thereon, the processor being configured to perform operations of the method for associating physical data points and service data points according to any one of claims 1 to 4 in response to the processor executing the computer program.

10. A computer program product comprising a processor-executable computer program, wherein when the computer program is executed by a processor, the processor is configured to perform operations of the method for associating physical data points and service data points according to any one of claims 1 to 4.

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