Energy-manufacturing system co-scheduling information interoperation system based on data space

Abstract

The invention relates to an energy-manufacturing system collaborative scheduling information interoperation system based on a data space, and belongs to the field of cross-domain information interoperation. The system comprises an energy system body, a manufacturing system body, a real-time information acquisition and transmission module, an asset management shell module, an OPC UA edge server, an OPC UA aggregation server, a data space client and a data space application layer, and equipment information in the energy system and the manufacturing system is uniformly converted into an OPC UA information model based on a field communication protocol; an asset management shell is established for various asset data of equipment, the asset data is converted into a unified information description model, data interaction of a cross-domain system is realized through a data space, and the problem of credible interaction of cross-system information between energy equipment and between the energy equipment and manufacturing equipment is solved.

Description

Technical Field

[0001] The present invention belongs to the field of cross-domain information interoperability and relates to an energy-manufacturing system collaborative scheduling information interoperability system based on data space. Background Art

[0002] With the advent of the fourth industrial revolution (Industry 4.0, I4.0), cyber-physical systems have also become a key technology to meet various application needs. It integrates physical processes and software processes to realize the connection between physical objects and the information world. The Industrial 4.0 component is the basic concept that constitutes the I4.0 specification. It consists of two basic elements: assets and asset management shells. Assets are manufacturing components, which can also be hardware or software, and AAS converts assets in the physical domain into information in the digital domain, providing unified access to information and functions, thereby achieving direct interoperability with other I4.0 components. In I4.0 technology, smart energy and smart manufacturing are equally valuable. The Energy Internet is a system that integrates energy flow and information flow, and is considered to be a solution for smart and clean power supply in the I4.0 era.

[0003] In existing research, the energy system is always independent of the manufacturing system, and energy equipment has not formed a mature and standardized asset management shell, which limits direct interoperability with other components in I4.0. Due to the different management methods and systems used between the energy system and the manufacturing system, there is a lack of information models that can directly communicate and interoperate between the systems. At the same time, there is a lack of consensus on information interaction across domain systems, and security and controllability are poor. The lack of unified scheduling and management of energy between the two will increase the cost of the factory system and waste energy. Summary of the invention

[0004] In view of this, an object of the present invention is to provide an energy-manufacturing system collaborative scheduling information interoperability system based on data space.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] An energy-manufacturing system collaborative scheduling information interoperation system based on data space, the system includes: an energy system ontology, a manufacturing system ontology, a real-time information collection and transmission module, an asset management shell module, an OPC UA edge server, an OPC UA aggregation server, a data space client and a data space application layer, wherein:

[0007] The asset management shell module is independently configured. It establishes the asset management shell in advance according to the asset information corresponding to the equipment in the energy system body and the manufacturing system body, and converts it into the OPC UA information model and deploys it in the OPC UA aggregation server;

[0008] The real-time information collection and dissemination module includes an energy information collection and dissemination submodule and a manufacturing information collection and dissemination submodule, which respectively collect the real-time information in the energy system body and the manufacturing system body, and transmit it to the corresponding OPC UA edge server;

[0009] The OPC UA edge server includes an energy edge server and a manufacturing edge server, which respectively receive corresponding real-time device information, perform pre-integration processing on the received real-time device information, convert it into an OPC UA information model, and then transmit it to the corresponding node of the OPC UA aggregation server according to the corresponding node ID and address space;

[0010] The OPC UA aggregation server includes an energy aggregation server and a manufacturing aggregation server. The OPC UA aggregation server receives data from the corresponding nodes of each edge server according to the OPC UA information model pre-deployed on itself; the OPC UA aggregation server transmits the aggregated energy information or manufacturing information to the data space client;

[0011] The data space client includes the energy data space client and the manufacturing space client. The energy data space client and the manufacturing space client perform trusted data exchange with each other and complete the status analysis and strategy calculation of the energy system and the manufacturing system based on the data space application layer.

[0012] Furthermore, the asset management shell module establishes the asset management shell for energy equipment and manufacturing equipment based on equipment attributes, operating status, and power information. The process is as follows: for each energy equipment in the energy system, the unified modeling language UML is used to encapsulate the identification and attribute information of each energy equipment into a UML model; similarly, a corresponding UML model is established for each manufacturing equipment in the manufacturing system; AutomationML Editor software is used to map each UML model to a corresponding AutomationML model to describe the information stored in the UML model;

[0013] Each AutomationML model contains an instance hierarchy module, which hierarchically models all common sub-models and specific sub-models in its corresponding AutomationML model as internal elements IE, and adds attributes to each element IE to store and describe the information packaged in the sub-model.

[0014] Furthermore, the asset management shell includes a DF header part and a DF Body part, wherein:

[0015] The DF Header contains the asset identifier, asset management shell identifier, the number of general sub-models, and the number of specific sub-models;

[0016] DF Body is used to list the information required by the device, including general sub-models and specific sub-models used to describe dynamic data;

[0017] The communicating parties exchange data through data index items, which are an index table consisting of all sub-models and IDs.

[0018] The general sub-model includes at least four categories, namely, attribute value declaration model, energy equipment model, document sub-model, and communication sub-model. The attribute value declaration model is used to describe the name, model, manufacturer, equipment composition and fixed attribute value information of energy equipment; the energy equipment model is used to describe the asset name, manufacturer, equipment model, component composition and quantity, and power limit information; the document sub-model contains the startup conditions, operating speed, voltage and current, and life cycle information of energy equipment during operation; the communication sub-model is used to describe the mode, port number and quantity of equipment communication application;

[0019] Specific sub-models used to describe dynamic data include the functional description and access system sub-model when establishing the energy storage equipment asset management shell, and the data source, flow direction and data type sub-model used to represent dynamic information and data flow when describing specific asset models such as data processing and asset management.

[0020] Furthermore, the energy system includes photovoltaic power generation equipment, wind power generation equipment, energy storage equipment and grid access equipment, and the manufacturing system includes manufacturing equipment, indication equipment, control equipment and sensing equipment;

[0021] The energy information collection and dissemination submodule obtains the real-time information of each device within the energy system, and transmits the power information or other specific information of each device to the corresponding energy edge server through the field protocol; the manufacturing information collection and dissemination submodule obtains the device power and device status information within the manufacturing system, and transmits it to the corresponding manufacturing edge server.

[0022] Furthermore, the energy edge server and the manufacturing edge server are each connected to an OPC UA aggregation server, namely the energy aggregation server and the manufacturing aggregation server. The energy aggregation server receives real-time information of energy equipment transmitted from the energy edge server, and converts the real-time information into a unified energy information model according to the internal OPC UA information module; the manufacturing aggregation server receives real-time information transmitted from the manufacturing edge server, and converts the real-time information into a unified manufacturing information model according to the internal OPC UA information module.

[0023] Furthermore, the OPC UA energy aggregation server on the energy system side and the OPC UA manufacturing aggregation server on the manufacturing system side both transmit their collected data to their respective energy data space clients and manufacturing data space clients. The energy data space client exchanges trusted data with the manufacturing data space client through the data space, and extracts data from both sides based on demand based on the data space application layer to complete the calculation and control of energy optimization strategies, carbon calculations, status monitoring, energy scheduling plan calculations, decision-making management strategies, and collaborative management and control strategies. The manufacturing data space client determines the energy distribution scheduling plan by analyzing the received data and sends it to the manufacturing equipment. The energy distribution scheduling plan passes through the manufacturing aggregation server, the manufacturing edge server, and the manufacturing information collection and dissemination sub-module in turn, and finally reaches each manufacturing equipment in the manufacturing system body.

[0024] The beneficial effects of the present invention are:

[0025] Aiming at the problem that energy equipment has not formed a mature and standardized asset management shell, the present invention proposes an asset management model to realize industrial information modeling of energy equipment, which is conducive to improving interoperability with other components in I4.0. At the same time, aiming at the problem that the systems in the energy field and the manufacturing field are independent of each other and the source-side information is difficult to interact effectively with the load-side information, a data space-based energy-manufacturing system collaborative scheduling information interoperability method is proposed. The equipment at both ends of the energy system and the manufacturing system use a unified information model to realize data interaction. At the application layer, multi-source heterogeneous data is uniformly organized and managed based on data space technology, so that the manufacturing system can accurately manage the energy consumption of manufacturing equipment, save production costs and achieve low-carbon goals.

[0026] Other advantages, objectives and features of the present invention will be described in the following description to some extent, and to some extent, will be obvious to those skilled in the art based on the following examination and study, or can be taught from the practice of the present invention. The objectives and other advantages of the present invention can be realized and obtained through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be described in detail below in conjunction with the accompanying drawings, wherein:

[0028] Figure 1 It is a schematic diagram of the overall architecture of the energy-manufacturing system collaborative scheduling information interoperation system based on data space of the present invention;

[0029] Figure 2 It is a schematic diagram of an example of an asset management shell of the data space-based energy-manufacturing system collaborative scheduling information interoperation system of the present invention. DETAILED DESCRIPTION

[0030] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the illustrations provided in the following embodiments only illustrate the basic concept of the present invention in a schematic manner, and the following embodiments and features in the embodiments can be combined with each other without conflict.

[0031] Among them, the drawings are only used for illustrative explanations, and they only represent schematic diagrams rather than actual pictures, and should not be understood as limitations on the present invention. In order to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of actual products. For those skilled in the art, it is understandable that some well-known structures and their descriptions in the drawings may be omitted.

[0032] The same or similar numbers in the drawings of the embodiments of the present invention correspond to the same or similar parts; in the description of the present invention, it should be understood that if the terms "upper", "lower", "left", "right", "front", "rear", etc. indicate the orientation or position relationship, they are based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation. Therefore, the terms describing the position relationship in the drawings are only used for illustrative purposes and cannot be understood as limiting the present invention. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0033] See also Figure 1-2 , which is an information interoperability system for collaborative scheduling of energy-manufacturing systems based on data space.

[0034] Example

[0035] This embodiment provides a detailed structure of an energy-manufacturing system collaborative scheduling information interoperation system based on data space, such as Figure 1 As shown, the system at least includes: an energy system ontology, a manufacturing system ontology, a real-time information collection and transmission module, an asset management shell module AAS, an OPC UA edge server, an OPC UA aggregation server, a data space client and a data space application layer, wherein:

[0036] The asset management shell module is independently configured. It establishes the asset management shell in advance according to the asset information corresponding to the equipment in the energy system body and the manufacturing system body, and converts it into the OPC UA information model and deploys it in the OPC UA aggregation server;

[0037] The real-time information collection and dissemination module includes an energy information collection and dissemination submodule and a manufacturing information collection and dissemination submodule, which respectively collect the real-time information in the energy system body and the manufacturing system body, and transmit it to the corresponding OPC UA edge server;

[0038] The OPC UA edge server includes an energy edge server and a manufacturing edge server, which respectively receive corresponding real-time device information, perform pre-integration processing on the received real-time device information, convert it into an OPC UA information model, and then transmit it to the corresponding node of the OPC UA aggregation server according to the corresponding node ID and address space;

[0039] The OPC UA aggregation server includes an energy aggregation server and a manufacturing aggregation server. The OPC UA aggregation server receives data from the corresponding nodes of each edge server according to the OPC UA information model pre-deployed on itself; the OPC UA aggregation server transmits the aggregated energy information or manufacturing information to the data space client;

[0040] The data space client includes the energy data space client and the manufacturing space client. The energy data space client and the manufacturing space client perform trusted data exchange with each other and complete the status analysis and strategy calculation of the energy system and the manufacturing system based on the data space application layer.

[0041] In this embodiment, if Figure 1 As shown, the energy system includes photovoltaic power generation equipment, wind power generation equipment, energy storage equipment and grid access equipment, and the manufacturing system includes manufacturing equipment, indicating equipment, control equipment and sensing equipment. The energy information acquisition and dissemination submodule obtains the real-time information of each device in the energy system, and transmits the power information or other specific information of each device, such as the wind speed information of the wind power generation equipment, to the corresponding energy edge server through the field protocol; wherein the field protocols adopted by the energy information acquisition and dissemination submodule include but are not limited to the IEC 61850 protocol, Modbus protocol, Autbus protocol, etc. The manufacturing information acquisition and dissemination submodule obtains the equipment power and equipment status information in the manufacturing system and transmits it to the corresponding manufacturing edge server; wherein the field protocols adopted by the manufacturing information acquisition and dissemination submodule include but are not limited to the CAN protocol, Modbus protocol, HAR protocol, etc.

[0042] In the energy edge server, if the IEC 61850 communication protocol is used to obtain the real-time information of the energy equipment, the process is: based on the IEC 61850 communication protocol, a corresponding IEC61850SCL model is constructed for the real-time power of each energy device; the IED instantiation object in the IEC61850 information model is mapped to the data object in the OPC UA energy edge server; the data object is added as a node to the address space of the OPC UA energy edge server; the real-time information of the energy equipment is transmitted to the OPC UA energy edge server through the created data mapping table.

[0043] In the AAS module, an asset management shell is established for the power, equipment status and other asset information of all energy equipment and manufacturing equipment. The process of establishing an asset management shell for energy equipment and manufacturing equipment based on equipment attributes, operating status, power and other information is as follows: for each energy equipment in the energy system, the unified modeling language UML is used to encapsulate the identification, attributes and other information of each energy equipment into a UML model; similarly, a corresponding UML model is established for each manufacturing equipment in the manufacturing system; and the AutomationML Editor software is used to map each UML model to a corresponding AutomationML model to describe the information stored in the UML model.

[0044] Specifically, each AutomationML model contains an instance hierarchy module, which hierarchically models all sub-models (general sub-models and specific sub-models) in the corresponding AutomationML model as internal elements IE, and adds attributes to each element IE to store and describe the information packaged in the sub-model.

[0045] Specifically, the present invention describes the energy equipment in the energy system and the manufacturing equipment in the manufacturing system with an asset management shell, and establishes different models according to the actual needs of the equipment. Taking photovoltaic power generation equipment as an example, Figure 2As shown in the figure, an asset management shell (AAS) consists of two parts: DF header and DF Body. The DF Header mainly includes the asset identifier (Identification of the Asset), the asset management shell identifier (Identification of the AAS), the number of generic submodels (Number of Generic submodels) and the number of specific submodels (Number of Specificsubmodels). The DF Body part will specifically list the information required by the device, usually including the universal submodel and the specific submodel used to describe dynamic data. The generic submodel contains at least four categories. The data index item is an index table composed of all submodels and IDs, which can clearly identify the communicating parties during data exchange. The attribute value declaration model usually describes the name, model, manufacturer, device composition and fixed attribute value of the energy device. Energy equipment usually requires asset name, manufacturer, device model, component composition and quantity, power limit and other information. The document submodel needs to include the startup conditions, operating speed, voltage and current, life cycle and other information of the energy device during operation. The communication submodel needs to describe the device communication method, port number and quantity and other information. Specific sub-models can be added dynamically for different energy devices. For example, when establishing an asset management shell for energy storage devices, it is necessary to add sub-models such as functional description and access system access methods. When describing specific asset models for data processing and asset management, it is generally used to represent dynamic information and data flow, and the data source, flow, and data type should be declared. In this method, the status of all energy devices is transmitted to the Web client for further scheduling. The asset management shell of a single energy device is modeled in the UML language, and further information model transmission data is processed.

[0046] The OPC UA information model pre-established by the Asset Management Shell is deployed in the OPC UA Aggregation Server.

[0047] Specifically, the energy edge server and the manufacturing edge server are each connected to an OPC UA aggregation server on both sides, namely the energy aggregation server and the manufacturing aggregation server. The energy edge server and the manufacturing edge server are each connected to an OPC UA aggregation server on both sides, namely the energy aggregation server and the manufacturing aggregation server. The energy aggregation server receives real-time information of energy equipment transmitted from the energy edge server, and converts the real-time information into a unified energy information model according to the internal OPC UA information module; the manufacturing aggregation server receives real-time information transmitted from the manufacturing edge server, and converts the real-time information into a unified manufacturing information model according to the internal OPC UA information module.

[0048] The OPC UA aggregation server has two functions. On the one hand, it deploys the OPC UA information model converted from the asset management shell. On the other hand, it aggregates the real-time data of all edge servers and transmits it to the upper layer, playing the role of data aggregation and transfer. The specific implementation process is that the data collected by the edge server will be transferred to the pre-integrated OPC UA information model, and then the information model will find the corresponding OPC UA information node in the aggregation server according to its own node ID to complete the data forwarding and transmission.

[0049] The sub-models in the asset management shell of energy equipment and manufacturing equipment are represented in their corresponding AutomationML models and given unique identifiers. Energy equipment and manufacturing equipment are parsed into a unified information description format through specific OPC UA, and the corresponding OPC UA servers communicate and exchange data by subscribing to variables.

[0050] The OPC UA energy aggregation server on the energy system side and the OPC UA manufacturing aggregation server on the manufacturing system side both transmit their collected data to their respective energy data space clients and manufacturing data space clients. The energy data space client exchanges trusted data with the manufacturing data space client through the data space, and completes the calculation and control of carbon calculation, energy scheduling plan and other decisions between the two heterogeneous systems based on the data space application layer. The manufacturing data space client determines the energy distribution scheduling plan by analyzing the received data and sends it to the manufacturing equipment. The energy distribution scheduling plan passes through the manufacturing aggregation server, manufacturing edge server, and manufacturing information collection and dissemination sub-module in turn, and finally reaches each manufacturing equipment in the manufacturing system body.

[0051] Specifically, the energy system application layer client and the manufacturing system application layer client encapsulate data and realize two-way interaction of trusted data. On this basis, the data space application layer extracts data from both sides according to demand to complete the calculation and control of energy optimization strategies, carbon calculation, status monitoring, energy scheduling solution calculation, decision management strategy, and collaborative management and control strategies.

[0052] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution, which should be included in the scope of the claims of the present invention.

Claims

1. A data space-based energy-manufacturing system collaborative scheduling information interoperability system, characterized by: The system includes: an energy system body, a manufacturing system body, a real-time information collection and transmission module, an asset management shell module, an OPC UA edge server, an OPC UA aggregation server, a data space client, and a data space application layer, wherein: The asset management shell module is independently configured. It establishes the asset management shell model in advance according to the asset information corresponding to the equipment in the energy system body and the manufacturing system body, and then converts it into the OPC UA information model and deploys it in the OPC UA aggregation server; The real-time information collection and dissemination module includes an energy information collection and dissemination submodule and a manufacturing information collection and dissemination submodule, which respectively collect real-time information in the energy system body and the manufacturing system body, and transmit it to the corresponding OPC UA edge server; The OPC UA edge server includes an energy edge server and a manufacturing edge server, which respectively receive corresponding real-time device information, perform pre-integration processing on the received real-time device information, convert it into an OPC UA information model, and then transmit it to the corresponding node of the OPC UA aggregation server according to the corresponding node ID and address space; The OPC UA aggregation server includes an energy aggregation server and a manufacturing aggregation server. The OPC UA aggregation server receives data from the corresponding nodes of each edge server according to the OPC UA information model pre-deployed on itself; the OPC UA aggregation server transmits the aggregated energy information or manufacturing information to the data space client; The data space client includes the energy data space client and the manufacturing space client. The energy data space client and the manufacturing space client perform trusted data exchange with each other and complete the status analysis and strategy calculation of the energy system and the manufacturing system based on the data space application layer.

2. According to claim 1, a data space-based energy-manufacturing system collaborative scheduling information interoperability system is characterized by: The asset management shell module establishes asset management shells for energy equipment and manufacturing equipment based on equipment attributes, operating status, and power information. The process is as follows: for each energy device in the energy system, the unified modeling language UML is used to encapsulate the identification and attribute information of each energy device into a UML model; similarly, a corresponding UML model is established for each manufacturing device in the manufacturing system; and the AutomationML Editor software is used to map each UML model to a corresponding AutomationML model to describe the information stored in the UML model. Each AutomationML model contains an instance hierarchy module, which hierarchically models all common sub-models and specific sub-models in its corresponding AutomationML model as internal elements IE, and adds attributes to each element IE to store and describe the information packaged in the sub-model.

3. According to claim 1, a data space-based energy-manufacturing system collaborative scheduling information interoperability system is characterized by: The asset management shell includes the DF header part and the DF Body part, where: The DF Header contains the asset identifier, asset management shell identifier, the number of general sub-models, and the number of specific sub-models; DF Body is used to list the information required by the device, including general sub-models and specific sub-models used to describe dynamic data; The communicating parties exchange data through data index items, which are an index table consisting of all sub-models and IDs. The general sub-model includes at least four categories, namely, attribute value declaration model, energy equipment model, document sub-model, and communication sub-model. The attribute value declaration model is used to describe the name, model, manufacturer, equipment composition and fixed attribute value information of energy equipment; the energy equipment model is used to describe the asset name, manufacturer, equipment model, component composition and quantity, and power limit information; the document sub-model contains the startup conditions, operating speed, voltage and current, and life cycle information of energy equipment during operation; the communication sub-model is used to describe the mode, port number and quantity of equipment communication application; Specific sub-models used to describe dynamic data include the functional description and access system sub-model when establishing the energy storage equipment asset management shell, and the data source, flow direction and data type sub-model used to represent dynamic information and data flow when describing specific asset models such as data processing and asset management.

4. The data space-based energy-manufacturing system collaborative scheduling information interoperability system according to claim 3, characterized in that: The energy system includes photovoltaic power generation equipment, wind power generation equipment, energy storage equipment and grid access equipment. The manufacturing system includes manufacturing equipment, indication equipment, control equipment and sensing equipment. The energy information collection and dissemination submodule obtains the real-time information of each device within the energy system, and transmits the power information or other specific information of each device to the corresponding energy edge server through the field protocol; the manufacturing information collection and dissemination submodule obtains the device power and device status information within the manufacturing system, and transmits it to the corresponding manufacturing edge server.

5. The data space-based energy-manufacturing system collaborative scheduling information interoperability system according to claim 4, characterized in that: The energy edge server and the manufacturing edge server are each connected to an OPC UA aggregation server, namely the energy aggregation server and the manufacturing aggregation server. The energy aggregation server receives the real-time information of energy devices transmitted from the energy edge server and converts the real-time information into a unified energy information model according to the internal OPC UA information module. The manufacturing aggregation server receives real-time information transmitted from the manufacturing edge server and converts the real-time information into a unified manufacturing information model based on the internal OPC UA information module.

6. The energy-manufacturing system collaborative scheduling information interoperability system based on data space according to claim 1 is characterized by: The OPC UA energy aggregation server on the energy system side and the OPC UA manufacturing aggregation server on the manufacturing system side both transmit their collected data to their respective energy data space clients and manufacturing data space clients. The energy data space client exchanges trusted data with the manufacturing data space client through the data space, and extracts data from both sides based on demand based on the data space application layer to complete the calculation and control of energy optimization strategies, carbon calculations, status monitoring, energy scheduling plan calculations, decision-making management strategies, and collaborative management and control strategies. The manufacturing data space client determines the energy distribution scheduling plan by analyzing the received data and sends it to the manufacturing equipment. The energy distribution scheduling plan passes through the manufacturing aggregation server, manufacturing edge server, and manufacturing information collection and dissemination sub-module in turn, and finally reaches each manufacturing equipment in the manufacturing system body.

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