Construction method of industrial production line model

Abstract

The invention discloses a method for constructing an industrial production line model, which comprises the following steps of: forming an equipment layer by equipment in an industrial production line, constructing an acquisition layer, a data layer, a model layer and a presentation layer, acquiring original data from the equipment layer by the acquisition layer, storing the original data to the data layer, establishing an instance model of the equipment by the model layer, and performing data mapping, and finally, quoting the instance model of the model layer by the presentation layer to form a graphical industrial production line model. The method has reusability, conciseness and intuition, and can help enterprises to reduce labor cost and improve the precision of a production line model.

Description

Technical Field

[0001] The present invention relates to the field of industrial production line models, and in particular to a method for constructing an industrial production line model. Background Art

[0002] The industrial production line model refers to the use of data collection, equipment modeling and configuration presentation to intuitively present the real industrial production line in a graphical form, and link the real-time data of the equipment to help enterprises monitor and analyze the production line.

[0003] With the continuous improvement of industrial automation level, enterprises have an increasing demand for monitoring and optimizing the operation status of equipment. Through the establishment of industrial production line models, enterprises can identify and solve problems in production, such as equipment failure, quality deviation and capacity bottleneck. It can not only reduce downtime and defective rate, but also optimize resource allocation, improve production efficiency, reduce costs, and provide managers with data-driven decision support, thereby enhancing the competitiveness and sustainable development capabilities of enterprises.

[0004] However, the establishment of industrial production line models also faces some difficulties. First, there may be technical challenges in the interconnection between different devices and systems, especially in the integration of multi-brand equipment or old equipment. Secondly, data collection, storage and analysis require strong IT infrastructure and professional technical support to ensure the accuracy and real-time nature of the data. In addition, how to effectively deal with massive data, extract valuable insights, and ensure data security and privacy protection are also difficult problems that must be overcome in production line monitoring. Summary of the invention

[0005] The present invention provides a method for constructing an industrial production line model to solve the problems existing in the industrial production line model of the prior art.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is: A method for constructing an industrial production line model, which uses various devices in the industrial production line to form a device layer, and constructs an acquisition layer, a data layer, a model layer, and a presentation layer. The acquisition layer collects the original data of each device from the device layer and stores it in the data layer. The model layer establishes an instance model of the device, and the model layer maps the parameters of the instance model with the original data of the corresponding device stored in the data layer. Finally, the presentation layer references the instance model of the model layer to form a graphical industrial production line model, thereby realizing the construction of the industrial production line model.

[0007] Furthermore, a data pump is constructed in the acquisition layer for each device, and the data pump collects original data of the corresponding device from the device layer and stores it in the data layer.

[0008] Furthermore, the model layer includes an IoT classification module, an IoT model module and an IoT device module, wherein the IoT classification module is used to classify devices; the IoT model module is used to manage the physical model of the device, and the IoT model module makes each model of device correspond to a physical model, and the same type of physical models belong to the same type of IoT classification, and the physical model module also defines the common properties of each model of device; the IoT device module establishes an instance model corresponding to each physical device, and the instance model inherits the physical model corresponding to the corresponding model of the device and has the common properties defined in the physical model.

[0009] Furthermore, a Table is established in the data layer for each data pump, and the data collected by each data pump is stored in a key:value format.

[0010] The traditional method of building an industrial production line model first needs to solve the problem of data collection from devices of different types and protocols, and then directly bind the collected data to the graphical interface of the industrial production line model. This method does not decouple collection and presentation, making it difficult to troubleshoot problems, requiring a lot of development to add new points, and data cannot be reused.

[0011] The method for constructing the industrial production line model of the present invention adopts a layered decoupling approach, which makes it easy to troubleshoot problems. The introduction of the data layer solves the problem of historical data tracing, and the introduction of the model layer increases reusability and makes the relationship between production line equipment clearer, making it easy to modify and adjust after changes in the production line.

[0012] In summary, the method for constructing an industrial production line model described in the present invention is reusable, concise and intuitive, and can help enterprises reduce labor costs and improve the accuracy of the production line model. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a general architecture diagram of the industrial production line model constructed in an embodiment of the present invention.

[0014] Figure 2 It is a model layer architecture diagram in an embodiment of the present invention.

[0015] Figure 3 It is a schematic diagram of the industrial production line model data display in an embodiment of the present invention. DETAILED DESCRIPTION

[0016] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0017] This embodiment discloses a method for constructing an industrial production line model. Figure 1As shown, the equipment layer is formed by various devices in the industrial production line, and the collection layer, data layer, model layer and presentation layer are constructed. The equipment layer is composed of various data source devices that provide raw data, such as production line equipment, lower computers and upper computers in the industrial production line. The collection layer is a program and gateway for executing data collection, which is used to obtain raw data from the equipment layer and store it in the data layer. The data layer is a database for storing data. The model layer is a summary of equipment classification, object model and instance model. The parameters on the instance model corresponding to each device are mapped to the raw data of the corresponding device stored in the data layer through the model layer. The presentation layer refers to the instance model of the model layer to form a graphical industrial production line model and display it. The graphical industrial production line model can display equipment icons and real-time data, thereby real-time data monitoring.

[0018] Specifically, the model layer includes the IoT classification module, the IoT model module and the IoT device module. The IoT classification module is a category tree for devices, which classifies devices according to dimensions such as function, purpose, manufacturer or installation location. The IoT model module manages the physical model of the device. In the IoT model module, each model of device corresponds to a physical model, and the same type of physical models belong to the same type of IoT classification. At the same time, the physical model module also defines the common properties of each type of device. In the IoT device module, a corresponding instance model is constructed for each physical device. The instance model inherits the physical model corresponding to the corresponding model of the device and has the common properties defined in the corresponding physical model.

[0019] Different instance models in the IoT device module can reference properties. The referencer is called the parent device and the referenced device is called the child device. After the parent device references the property of the child device, the real-time monitoring value of the property is kept updated synchronously.

[0020] by Figure 2 Take the high-pressure boiler in the IoT model module as an example. The high-pressure boiler in the IoT model module belongs to the boiler category, and its physical model contains temperature and pressure attributes; the bimetallic thermometer belongs to the thermometer category, and its physical model contains temperature attributes. The instance model of the 1# boiler in the IoT device inherits the physical model of the high-pressure boiler and has temperature and pressure attributes, which represent the real temperature and pressure of the 1# boiler respectively; the instance models of the 1# thermometer and the 2# thermometer both inherit the physical model of the bimetallic thermometer and have temperature attributes, which represent the real temperature of the 1# thermometer and the 2# thermometer respectively. In this production line, the 1# thermometer is installed on the 1# boiler, and the temperature it displays represents the temperature of the boiler. Here, the 1# boiler is used as the parent device, and the temperature attribute of the 1# thermometer is referenced to form a parent-child device association relationship, which is consistent with the device relationship of the real production line.

[0021] like Figure 3As shown, in this embodiment, the original data of the production line comes from the equipment layer. The collection layer builds a data pump for each device data source to collect data. The data pump is a program for executing data collection. The data pump converts and stores the collected data in the data layer. In the data layer, a Table is separately established for each data pump, and the original data of each data source collected by the collection layer is stored in the key:value format, such as K1:V1, K2:V2, etc.

[0022] The model layer maps the attributes in the instance model with the data in the data layer, binds the stored data to the device, and gives it physical meaning. The presentation layer references the corresponding instance model on the device icon, displays its attributes and real-time collected values, and achieves graphical real-time monitoring of the industrial production line model.

[0023] The preferred embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. The embodiments described in the present invention are merely descriptions of the preferred embodiments of the present invention, and do not limit the concept and scope of the present invention. The various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction, and such combinations should also be regarded as the contents disclosed in the present disclosure as long as they do not violate the concept of the present invention. In order to avoid unnecessary repetition, the present invention will not further describe various possible combinations.

[0024] The present invention is not limited to the specific details of the above-mentioned embodiments. Within the technical concept of the present invention and without departing from the design concept of the present invention, various modifications and improvements made to the technical solution of the present invention by technical personnel in this field should fall within the protection scope of the present invention. The technical contents for which protection is sought in the present invention have been fully recorded in the claims.

Claims

1. A method for constructing an industrial production line model, characterized in that: The equipment layer is formed by each device in the industrial production line, and the collection layer, data layer, model layer and presentation layer are constructed. The collection layer collects the original data of each device from the equipment layer and stores it in the data layer. The model layer establishes an instance model of the device, and the model layer maps the parameters of the instance model with the original data of the corresponding device stored in the data layer. Finally, the presentation layer references the instance model of the model layer to form a graphical industrial production line model, thereby realizing the construction of the industrial production line model.

2. The method for constructing an industrial production line model according to claim 1, characterized in that: In the acquisition layer, a data pump is constructed for each device respectively, and the data pump collects the original data of the corresponding device from the device layer and stores it in the data layer.

3. The method for constructing an industrial production line model according to claim 1, characterized in that: The model layer includes an IoT classification module, an IoT model module and an IoT device module, wherein the IoT classification module is used to classify devices; the IoT model module is used to manage the physical model of the device, and the IoT model module makes each model of device correspond to a physical model, and the same type of physical models belong to the same type of IoT classification. At the same time, the physical model module also defines the common properties of each model of device; the IoT device module establishes an instance model corresponding to each physical device, and the instance model inherits the physical model corresponding to the corresponding model of the device and has the common properties defined in the physical model.

4. The method for constructing an industrial production line model according to claim 1, characterized in that: In the data layer, a Table is established for each data pump, and the data collected by each data pump is stored in a key:value format.

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