Object modeling method, device and equipment based on industrial Internet of Things and medium

Abstract

The invention discloses an object modeling method, device and equipment based on the industrial Internet of Things and a medium, and relates to the technical field of digital management.The modeling thought of a to-be-modeled object is expanded through multi-source data of the to-be-modeled object, geometric modeling and state modeling are conducted firstly, on one hand, the structure of entity equipment of the to-be-modeled object is reflected, and on the other hand, the modeling thought of the to-be-modeled object is expanded; on one hand, the state of the entity equipment is reflected, then functional block division is performed on the structure through different functional features of the entity equipment, the association degree expression of each functional block and the state is embedded on the structure, different association degrees are marked through different marking modes, and finally, marks are mapped back to the geometric model with the divided functional blocks. According to the method, the model of the to-be-modeled object is constructed, the model constructed through the means can reflect the physical entity structure, expression of different functional blocks can be directly added on the basis of physical entity structure representation, the association degree of the functional blocks and the current state can be marked, the modeling display effect can be improved, and the modeling display efficiency can be improved. And more support is provided for comprehensive digital management.

Description

Technical Field

[0001] This application relates to the field of digital management technology, specifically to an object modeling method, device, equipment, and medium based on the Industrial Internet of Things. Background Technology

[0002] Object modeling in the Industrial Internet of Things (IIoT) is a key technology connecting physical industrial equipment with the digital world. By abstracting physical equipment into digital objects with attributes and behaviors, it enables more comprehensive digital management of the equipment. However, current modeling methods only focus on the structure of the modeled object, usually representing it with digital geometric models to display its structure, location, and other information. It is difficult to represent it in conjunction with its operating conditions, resulting in limited model functionality and an inability to provide more support for digital management. Summary of the Invention

[0003] The main purpose of this application is to provide an object modeling method, device, equipment and medium based on the Industrial Internet of Things, which aims to solve the problem that the existing technology has a relatively simple approach to modeling physical devices.

[0004] To achieve the above objectives, the technical solutions adopted in the embodiments of this application are as follows: In a first aspect, embodiments of this application provide an object modeling method based on the Industrial Internet of Things (IIoT), applied to an IIoT system. The IIoT system includes: a user platform, a service platform, a management platform, a sensor network platform, and an object platform that interact sequentially. The object platform is used to access a data output device, and the data output device is used to provide multi-source data of the object to be modeled. The method includes the following steps: Geometric modeling and state modeling are performed based on the multi-source data of the object to be modeled to obtain the geometric model and state model of the object to be modeled. The geometric model is divided into functional blocks according to its functional characteristics to obtain the first geometric model. Based on the working requirements corresponding to the state model, the degree of correlation between each functional block in the first geometric model and the state model is obtained; Based on the different degrees of association, different marking methods are determined for functional blocks, and the marking methods are mapped onto the first geometric model to obtain the target model and complete the model construction of the object to be modeled.

[0005] In one possible implementation of the first aspect, the degree of association between each functional block in the first geometric model and the state model is obtained based on the working requirements corresponding to the state model, including: Based on the working requirements corresponding to the state model, the target functional blocks and non-target functional blocks in the first geometric model are obtained; Set the correlation between the non-target functional block and the state model to zero, and obtain the correlation between the target functional block and the state model based on the duration of the target functional block's participation in the work requirements.

[0006] In one possible implementation of the first aspect, the degree of association between the target functional block and the state model is obtained based on the duration of the target functional block's participation in the work requirements, including: Based on the work requirements of the target functional block, obtain the working duration of the target functional block; The degree of correlation between the target functional block and the state model is obtained by comparing the ratio of working time to the required completion time.

[0007] In one possible implementation of the first aspect, before obtaining the degree of association between each functional block in the first geometric model and the state model based on the working requirements corresponding to the state model, the method further includes: Based on historical work records, the relationships between the objects to be modeled are modeled to obtain the relationship model of the objects to be modeled. Based on the working requirements corresponding to the state model, the degree of association between each functional block in the first geometric model and the state model is obtained, including: Based on the working requirements corresponding to the state model, determine the functional blocks in the first geometric model; Based on the relational model, identify the functional blocks in the first geometric model of other objects to be modeled that are associated with the work requirements; Obtain the functional blocks and the degree of association between the associated functional blocks and the state model.

[0008] In one possible implementation of the first aspect, relationship modeling is performed between the objects to be modeled based on historical work records to obtain a relationship model of the objects to be modeled, including: Based on historical work records, obtain the objects to be modeled needed to complete the work; Obtain the physical and logical connections between the objects to be modeled, which are necessary to complete the task; The modeling process involves modeling the physical and logical connections between objects to be modeled, thereby obtaining a relational model of the objects to be modeled.

[0009] In one possible implementation of the first aspect, before obtaining the geometric model and state model of the object to be modeled by performing geometric modeling and state modeling based on multi-source data of the object to be modeled, the method further includes: Based on the data output device, obtain multi-source data of the object to be modeled; the multi-source data includes geometric data and attribute data. Geometric modeling and state modeling are performed based on multi-source data of the object to be modeled to obtain the geometric model and state model of the object to be modeled, including: Geometric modeling is performed based on the geometric data of the object to be modeled, and state modeling is performed based on the attribute data of the object to be modeled, to obtain the geometric model and state model of the object to be modeled.

[0010] In one possible implementation of the first aspect, before dividing the geometric model into functional blocks based on functional characteristics to obtain the first geometric model, the method further includes: Determine the granularity of the functional block division based on the purpose of the modeling.

[0011] Secondly, embodiments of this application provide an object modeling device based on the Industrial Internet of Things (IIoT), applied to an IIoT system. The IIoT system includes: a user platform, a service platform, a management platform, a sensor network platform, and an object platform that interact sequentially. The object platform is used to access a data output device, and the data output device is used to provide multi-source data of the object to be modeled. The device includes: The initial modeling module is used to perform geometric modeling and state modeling based on the multi-source data of the object to be modeled, and to obtain the geometric model and state model of the object to be modeled. The functional partitioning module is used to divide the geometric model into functional blocks according to functional characteristics to obtain the first geometric model; The functional association module is used to obtain the degree of association between each functional block in the first geometric model and the state model according to the working requirements corresponding to the state model. The mapping modeling module is used to determine different marking methods for functional blocks based on the degree of association, and to map the marking methods onto the first geometric model to obtain the target model in order to complete the model construction of the object to be modeled.

[0012] Thirdly, embodiments of this application provide a computer-readable storage medium storing a computer program, which, when loaded and executed by a processor, implements the object modeling method based on the Industrial Internet of Things as provided in any of the first aspects above.

[0013] Fourthly, embodiments of this application provide an electronic device, including a processor and a memory, wherein, Memory is used to store computer programs; The processor is used to load and execute computer programs to enable electronic devices to perform object modeling methods based on the Industrial Internet of Things as provided in any of the first aspects above.

[0014] Compared with the prior art, the beneficial effects of this application are: This application proposes an object modeling method, apparatus, device, and medium based on the Industrial Internet of Things (IIoT). The method includes: performing geometric modeling and state modeling based on multi-source data of the object to be modeled to obtain a geometric model and a state model of the object; dividing the geometric model into functional blocks according to functional characteristics to obtain a first geometric model; obtaining the degree of association between each functional block in the first geometric model and the state model according to the working requirements corresponding to the state model; determining different marking methods for the functional blocks according to the different degrees of association, and mapping the marking methods onto the first geometric model to obtain a target model to complete the model construction of the object to be modeled. This application expands the modeling approach by utilizing multi-source data of the object to be modeled. First, geometric and state modeling are performed separately, reflecting both the structure and state of the physical device. Then, the structure is divided into functional blocks based on different functional characteristics of the physical device, embedding the degree of association between each functional block and the state. Different degrees of association are marked using different labeling methods. Finally, the labels are mapped back to the geometric model divided into functional blocks, thus achieving model construction of the object to be modeled. The model constructed using these methods not only reflects the physical entity structure but also directly adds the expression of different functional blocks based on the physical entity structure representation, marking their degree of association with the current state. This enhances the modeling and display effect and provides greater support for comprehensive digital management. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the electronic device structure of the hardware operating environment involved in the embodiments of this application; Figure 2 A flowchart illustrating the object modeling method based on the Industrial Internet of Things provided in this application embodiment; Figure 3 This is a schematic diagram of the framework of the industrial Internet of Things (IoT) system in the object modeling method based on the industrial IoT provided in the embodiments of this application. The diagram is labeled as follows: 101-Processor, 102-Communication bus, 103-Network interface, 104-User interface, 105-Memory. Detailed Implementation

[0016] It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit this application.

[0017] See attached document Figure 1 , attached Figure 1This is a schematic diagram of the electronic device structure of the hardware operating environment involved in the embodiments of this application. The electronic device may include: a processor 101, such as a central processing unit (CPU), a communication bus 102, a user interface 104, a network interface 103, and a memory 105. The communication bus 102 is used to realize the connection and communication between these components. The user interface 104 may include a display screen and an input unit such as a keyboard. Optionally, the user interface 104 may also include a standard wired interface and a wireless interface. The network interface 103 may optionally include a standard wired interface and a wireless interface (such as a Wi-Fi interface). The memory 105 may be a storage device independent of the aforementioned processor 101. The memory 105 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as at least one disk storage device. The processor 101 may be a general-purpose processor, including a central processing unit, a network processor, etc., or it may be a digital signal processor, an application-specific integrated circuit, a field-programmable gate array or other programmable logic device, discrete gate or transistor logic device, or discrete hardware component.

[0018] Those skilled in the art will understand that the appendix Figure 1 The structure shown does not constitute a limitation on the electronic device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0019] As attached Figure 1 As shown, the memory 105, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and an object modeling device based on the Industrial Internet of Things.

[0020] In the appendix Figure 1 In the electronic device shown, the network interface 103 is mainly used for data communication with the network server; the user interface 104 is mainly used for data interaction with the user; the processor 101 and the memory 105 in this application can be set in the electronic device. The electronic device calls the object modeling device based on the Industrial Internet of Things stored in the memory 105 through the processor 101 and executes the object modeling method based on the Industrial Internet of Things provided in the embodiment of this application.

[0021] See attached document Figure 2Based on the hardware devices of the foregoing embodiments, embodiments of this application provide an object modeling method based on the Industrial Internet of Things (IIoT), applied to an IIoT system. The IIoT system includes: a user platform, a service platform, a management platform, a sensor network platform, and an object platform that interact sequentially. The object platform is used to access a data output device, and the data output device is used to provide multi-source data of the object to be modeled. The method includes the following steps: S10: Perform geometric modeling and state modeling based on the multi-source data of the object to be modeled to obtain the geometric model and state model of the object to be modeled.

[0022] In the specific implementation process, the objects to be modeled are physical industrial devices in the Industrial Internet of Things (IIoT) application scenario. These devices have physical entities and are connected to the IIoT through sensors, etc. Digital modeling of these devices abstracts them into digital objects to facilitate more comprehensive management. Multi-faceted modeling is performed using multi-source data from data output devices. Data output devices, such as sensors, can collect attribute data, such as measurable parameters like vibration, temperature, pressure, and voltage, reflecting the current state of the device. Scanning devices, by scanning physical entities, can provide geometric data of the object to be modeled, reflecting its structure. Positioning devices provide location data, which can be used to assign a unique identifier with location information to the object, serving as its identity in digital management. In other words, before obtaining the geometric and state models of the object to be modeled, geometric and state modeling are performed based on the multi-source data. Based on the data output device, obtain multi-source data of the object to be modeled; the multi-source data includes geometric data and attribute data. Geometric modeling and state modeling are performed based on multi-source data of the object to be modeled to obtain the geometric model and state model of the object to be modeled, including: Geometric modeling is performed based on the geometric data of the object to be modeled, and state modeling is performed based on the attribute data of the object to be modeled, to obtain the geometric model and state model of the object to be modeled.

[0023] By performing separate modeling, a visual representation model of the physical equipment structure, namely a geometric model, can be obtained, which can more intuitively display the equipment in digital management. However, the visualization level of the state model obtained by state modeling is relatively low, and it is only reflected numerically through the feedback attribute data. It cannot be associated with the geometric model with a higher degree of visualization. Therefore, the next step is to consider linking the models established from multiple aspects.

[0024] S20: Divide the geometric model into functional blocks according to its functional characteristics to obtain the first geometric model.

[0025] In the specific implementation process, different parts of the physical entity equipment will have different functional characteristics. Based on these functional characteristics, the corresponding geometric model is divided into functional blocks. The granularity of the division is determined according to the actual modeling purpose. For example, if the modeling purpose is equipment resource management or overall status management, a coarse granularity can be set. If the modeling purpose is monitoring or early warning, a medium granularity can be set. If the modeling purpose is predictive maintenance or monitoring of various components, a fine granularity can be set. The geometric model divided into functional modules is the first geometric model. After the division, clear boundary lines can be set between adjacent functional blocks on the geometric model for differentiation.

[0026] S30: Based on the working requirements corresponding to the state model, obtain the degree of association between each functional block in the first geometric model and the state model.

[0027] In the specific implementation process, the geometric model and the state model are associated by dividing the model into functional blocks. Since the state model is established through attribute data, the current state of the device can be obtained through this data, thereby determining the corresponding working requirements. The device's operation is clearly achieved through the cooperation of its various functional modules. Different working requirements correspond to different functional block collaborations, and each functional block participates in the work to a different degree, which is represented as the degree of association with the state model. Specifically, based on the working requirements corresponding to the state model, the degree of association between each functional block in the first geometric model and the state model is obtained, including: Based on the working requirements corresponding to the state model, the target functional blocks and non-target functional blocks in the first geometric model are obtained; Set the correlation between the non-target functional block and the state model to zero, and obtain the correlation between the target functional block and the state model based on the duration of the target functional block's participation in the work requirements.

[0028] In the specific implementation process, the functional blocks are first divided into target functional blocks and non-target functional blocks according to the work requirements. Target functional blocks are those that participate in the current work requirements, while non-target functional blocks are those that do not participate in the current work requirements. For example, after dividing the geometric model according to functional characteristics, four functional blocks A, B, C, and D are obtained. Among the four functional blocks, A, B, and C are target functional blocks, while D is a non-target functional block that does not participate in the current corresponding work requirements, and its correlation degree is set to zero. The other target functional blocks that participate in the work requirements are characterized by the degree of correlation based on the length of time they participate.

[0029] In one embodiment, the degree of association between the target functional block and the state model is obtained based on the duration of the target functional block's participation in the work requirements, including: Based on the work requirements of the target functional block, obtain the working duration of the target functional block; The degree of correlation between the target functional block and the state model is obtained by comparing the ratio of working time to the required completion time.

[0030] In practical implementation, when the granularity of functional block division is sufficiently small, a functional block represents a component, the total time required to complete the work requirement is the completion time, and the amount of time a component needs to work within that work requirement is its working time. The time spent participating in the work is considered the degree of correlation, and the ratio of its duration to the completion time is used as a representation of the degree of correlation. If the granularity of functional block division is not small enough, a functional block may encompass multiple components. In this case, the component with the longest working time is used as the representation of the working time of the entire functional block.

[0031] In one embodiment, before obtaining the degree of association between each functional block in the first geometric model and the state model based on the working requirements corresponding to the state model, the method further includes: Based on historical work records, the relationships between the objects to be modeled are modeled to obtain the relationship model of the objects to be modeled. Based on the working requirements corresponding to the state model, the degree of association between each functional block in the first geometric model and the state model is obtained, including: Based on the working requirements corresponding to the state model, determine the functional blocks in the first geometric model; Based on the relational model, identify the functional blocks in the first geometric model of other objects to be modeled that are associated with the work requirements; Obtain the functional blocks and the degree of association between the associated functional blocks and the state model.

[0032] In the specific implementation process, all equipment requiring digital management is modeled according to the method of this application. By modeling the relationships between equipment, the model can not only associate its own structure and state, but also associate different equipment. Specifically, by studying historical work records, which record historical working conditions, such as what work requires which equipment to cooperate, the process steps of these work, and whether the cooperating equipment is connected by physical or logical means, these relationships are modeled as relational models. That is, based on historical work records, the relationship model between the objects to be modeled is obtained, including: Based on historical work records, obtain the objects to be modeled needed to complete the work; Obtain the physical and logical connections between the objects to be modeled, which are necessary to complete the task; The modeling process involves modeling the physical and logical connections between objects to be modeled, thereby obtaining a relational model of the objects to be modeled.

[0033] For example, after modeling device 1, the relationship model determines that there is another device 2 with which it has a physical connection. The functional blocks related to the work requirements on the first geometric model corresponding to device 2 are obtained. These functional blocks, together with the functional blocks on the first geometric model corresponding to device 1, are associated with the state model. In this way, for the work requirements that a certain device is currently performing, not only can the structure and state be associated, but also related modules on other devices can be associated and visualized. In digital management decision-making, the modeling expression can avoid omitting any related devices and functional blocks as much as possible.

[0034] S40: Based on the different degrees of association, determine the different marking methods for the functional blocks, and map the marking methods onto the first geometric model to obtain the target model in order to complete the model construction of the object to be modeled.

[0035] In the specific implementation process, in order to visualize the different degrees of correlation based on the geometric model, different marking methods are used to distinguish functional blocks with different degrees of correlation. For example, the higher the degree of correlation of a functional block, the darker the color of the corresponding area on the geometric model. These markings are mapped back to the geometric model that divides the functional blocks, i.e., the first geometric model. Thus, the modeling object to be modeled achieves a modeling expression based on the integration of structure, state, and relationship. It is no longer a single structural modeling expression, but a multi-faceted integration of working conditions based on structural modeling, providing more support for digital management.

[0036] In this embodiment, the modeling approach is expanded by using multi-source data of the object to be modeled. First, geometric modeling and state modeling are performed separately to reflect the structure and state of the physical device. Then, the structure is divided into functional blocks based on the different functional characteristics of the physical device, and the degree of association between each functional block and the state is embedded in the block. Different degrees of association are marked using different marking methods. Finally, the markings are mapped back to the geometric model divided into functional blocks to realize the model construction of the object to be modeled. The model constructed by the above means can not only reflect the physical entity structure, but also directly add the expression of different functional blocks on the basis of the physical entity structure representation and mark the degree of association between them and the current state. This can improve the modeling and display effect and provide more support for comprehensive digital management.

[0037] The framework for the industrial IoT system applied to digital modeling provided in this application embodiment is as follows: Figure 3As shown, the architecture can include a user platform, service platform, management platform, sensor network platform, and object platform that interact sequentially, forming a basic five-platform architecture. The object platform can include data output devices; the sensor network platform can include a device management module and a data transmission management module. The device management module can include a network management unit, a command management unit, and a device status management unit. The data transmission management module can include a data protocol management unit, a data parsing unit, a data classification unit, a data transmission monitoring unit, and a data transmission security unit; the management platform can include a device management sub-platform, a business management sub-platform, and a data center. The device management sub-platform and the business management sub-platform can interact with the data center respectively. The device management sub-platform can include a device operation status monitoring management unit, a metering data monitoring management unit, and a device parameter management unit. The system comprises a management unit and an equipment lifecycle management unit. The business management sub-platform may include a revenue management unit, a business / industry management unit, an application management unit, a message management unit, a scheduling management unit, a sales difference management unit, an operation analysis management unit, and a comprehensive business management unit. The functional modules of the object modeling device based on the Industrial Internet of Things (IIoT) can be integrated into the management platform and stored in the data center for retrieval. The service platform may include an equipment service module, an operation service module, and a security service module. The user platform may include a general user module, a government user module, and a regulatory user module. Through the interaction between the various functional platforms of the IIoT system based on the above five platforms, a complete closed-loop information operation logic is established, ensuring the orderly operation of perceived and control information, and realizing the digital and intelligent management of equipment local operation safety.

[0038] Those skilled in the art should understand that the division of the various modules in the embodiments is merely a logical functional division. In actual applications, they can be fully or partially integrated into one or more actual carriers. These modules can be implemented entirely in software through processing unit calls, entirely in hardware, or a combination of software and hardware. It should be noted that each module in the object modeling device based on the Industrial Internet of Things in this embodiment corresponds one-to-one with each step in the object modeling method based on the Industrial Internet of Things in the aforementioned embodiments. Therefore, the specific implementation of this embodiment can refer to the implementation of the object modeling method based on the Industrial Internet of Things in the aforementioned embodiments, and will not be repeated here.

[0039] Based on the same inventive concept as in the foregoing embodiments, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when loaded and executed by a processor, implements the object modeling method based on the Industrial Internet of Things provided in the embodiments of this application.

[0040] Based on the same inventive concept as in the foregoing embodiments, embodiments of this application also provide an electronic device, including a processor and a memory, wherein, Memory is used to store computer programs; The processor is used to load and execute computer programs to enable electronic devices to perform object modeling methods based on the Industrial Internet of Things as provided in the embodiments of this application.

[0041] In some embodiments, the computer-readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disk, or CD-ROM; or it may be a device including one or any combination of the above-mentioned memories. The computer may be a variety of computing devices, including smart terminals and servers.

[0042] In some embodiments, executable instructions may take the form of a program, software, software module, script, or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a standalone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.

[0043] As an example, executable instructions may, but do not necessarily, correspond to files in the file system. They may be stored as part of a file that holds other programs or data, for example, in one or more scripts in a Hyper Text Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple collaborative files (e.g., a file that stores one or more modules, subroutines, or code sections).

[0044] As an example, executable instructions can be deployed to execute on a single computing device, or on multiple computing devices located in one location, or on multiple computing devices distributed across multiple locations and interconnected via a communication network.

[0045] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0046] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0047] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory / random access memory, magnetic disk, optical disk) and includes several instructions to cause a multimedia terminal device (which may be a mobile phone, computer, television receiver, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0048] In summary, the embodiments of this application provide an object modeling method, apparatus, device, and medium based on the Industrial Internet of Things. The method includes: performing geometric modeling and state modeling based on multi-source data of the object to be modeled to obtain a geometric model and a state model of the object to be modeled; dividing the geometric model into functional blocks according to functional characteristics to obtain a first geometric model; obtaining the degree of association between each functional block in the first geometric model and the state model according to the working requirements corresponding to the state model; determining different marking methods for the functional blocks according to the different degrees of association, and mapping the marking methods onto the first geometric model to obtain a target model to complete the model construction of the object to be modeled. This application expands the modeling approach by utilizing multi-source data of the object to be modeled. First, geometric and state modeling are performed separately, reflecting both the structure and state of the physical device. Then, the structure is divided into functional blocks based on different functional characteristics of the physical device, embedding the degree of association between each functional block and the state. Different degrees of association are marked using different labeling methods. Finally, the labels are mapped back to the geometric model divided into functional blocks, thus achieving model construction of the object to be modeled. The model constructed using these methods not only reflects the physical entity structure but also directly adds the expression of different functional blocks based on the physical entity structure representation, marking their degree of association with the current state. This enhances the modeling and display effect and provides greater support for comprehensive digital management.

[0049] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. An object modeling method based on industrial internet of things, characterized in that, The method is applied to an industrial Internet of Things system, and the industrial Internet of Things system comprises a user platform, a service platform, a management platform, a sensing network platform and an object platform which are sequentially interacted, the object platform is used for accessing a data output device, the data output device is used for providing multi-source data of an object to be modeled, and the method comprises the following steps: According to the multi-source data of the object to be modeled, geometric modeling and state modeling are respectively performed to obtain a geometric model and a state model of the object to be modeled; According to a functional feature, functional block division is performed on the geometric model to obtain a first geometric model; According to a working requirement corresponding to the state model, an association degree of each functional block in the first geometric model with the state model is obtained; According to the different association degrees, different marking modes for the functional blocks are determined, and the marking modes are mapped to the first geometric model to obtain a target model to complete model construction of the object to be modeled. 2.The industrial Internet of things based object modeling method according to claim 1, wherein, According to the working requirement corresponding to the state model, the association degree of each functional block in the first geometric model with the state model is obtained, comprising: According to the working requirement corresponding to the state model, a target functional block and a non-target functional block in the first geometric model are obtained; The association degree of the non-target functional block with the state model is set to zero, and the association degree of the target functional block with the state model is obtained according to a length of time that the target functional block participates in the working requirement. 3.The industrial Internet of things based object modeling method according to claim 2, characterized in that, According to the length of time that the target functional block participates in the working requirement, the association degree of the target functional block with the state model is obtained, comprising: According to a situation that the target functional block participates in the working requirement, a working time length of the target functional block is obtained; According to a ratio of the working time length to a completion time length of the working requirement, the association degree of the target functional block with the state model is obtained. 4.The industrial Internet of things based object modeling method according to claim 1, wherein, Before the association degree of each functional block in the first geometric model with the state model is obtained according to the working requirement corresponding to the state model, the method further comprises: According to historical working records, relationship modeling is performed between the objects to be modeled to obtain a relationship model of the objects to be modeled; According to the working requirement corresponding to the state model, the association degree of each functional block in the first geometric model with the state model is obtained, comprising: According to the working requirement corresponding to the state model, each functional block in the first geometric model is determined; According to the relationship model, the functional block associated with the working requirement in the first geometric model of other objects to be modeled is determined; The association degree of the functional block and the associated functional block with the state model is obtained.

5. The object modeling method based on industrial internet of things according to claim 4, characterized in that, According to the historical working records, the relationship modeling between the objects to be modeled is performed to obtain the relationship model of the objects to be modeled, comprising: According to historical working records, the objects to be modeled required to complete work are obtained; Physical connection relationships and logical connection relationships between the objects to be modeled required to complete work are obtained; Modeling the physical connection relationship and the logical connection relationship between the to-be-modeled objects to obtain a relationship model of the to-be-modeled objects. 6.The industrial Internet of things based object modeling method according to claim 1, wherein, Before the modeling the geometric model and the state model of the to-be-modeled objects according to the multi-source data of the to-be-modeled objects, the method further comprises: According to the data output device, obtaining multi-source data of the to-be-modeled objects; wherein the multi-source data comprises geometric data and attribute data; The modeling the geometric model and the state model of the to-be-modeled objects according to the multi-source data of the to-be-modeled objects comprises: According to the geometric data of the to-be-modeled objects, modeling the geometric model, and according to the attribute data of the to-be-modeled objects, modeling the state model to obtain the geometric model and the state model of the to-be-modeled objects.

7. The industrial internet of things based object modeling method according to claim 1, wherein, Before the function block division of the geometric model according to the functional characteristics to obtain the first geometric model, the method further comprises: According to the modeling purpose, determining the granularity of the function block division.

8. An object modeling apparatus based on an industrial internet of things, characterized by, Applied to an industrial Internet of Things system, the industrial Internet of Things system comprises a user platform, a service platform, a management platform, a sensing network platform and an object platform which are sequentially interacted, and the object platform is used for accessing a data output device, and the data output device is used for providing multi-source data of to-be-modeled objects, and the device comprises: An initial modeling module is configured to model the geometric model and the state model of the to-be-modeled objects according to the multi-source data of the to-be-modeled objects; A function division module is configured to divide the geometric model into function blocks according to functional characteristics to obtain a first geometric model; A function association module is configured to obtain the association degree of each function block in the first geometric model and the state model according to the working requirements corresponding to the state model; A mapping modeling module is configured to determine different marking modes for the function blocks according to the different association degrees, and map the marking modes to the first geometric model to obtain a target model to complete the model construction of the to-be-modeled objects.

9. A computer-readable storage medium storing a computer program, characterized in that, The computer program is loaded and executed by the processor to implement the object modeling method based on the industrial Internet of Things according to any one of claims 1-7.

10. An electronic device, comprising: The electronic device comprises a processor and a memory, wherein, The memory is used to store a computer program; The processor is used to load and execute the computer program to enable the electronic device to perform the object modeling method based on the industrial Internet of Things according to any one of claims 1-7.

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