Industrial Internet of Things knowledge graph autonomous construction system

Abstract

The invention discloses an industrial Internet of Things knowledge graph autonomous construction system. The system comprises a collection module, a classification module, a unit module and a storage module. Wherein the collection module is used for collecting the industrial Internet of Things knowledge graph, and transmitting the collected industrial Internet of Things knowledge graph to the classification module for classification. The classification module is used for classifying the received industrial Internet of Things knowledge graph and transmitting the classified industrial Internet of Things knowledge graph to the unit module for unit group distribution. And the unit module allocates the received industrial Internet of Things knowledge graph to a corresponding unit group according to the industrial Internet of Things knowledge graph classification, and sends the industrial Internet of Things knowledge graph to which the unit group is allocated to the storage module for storage. And the storage module stores the received industrial Internet of Things knowledge graph in a resource library in a classified manner according to the industrial Internet of Things knowledge graph classification and the allocated unit group.

Description

Technical Field

[0001] The present invention relates to the field of knowledge graph construction, and in particular to an industrial Internet of Things knowledge graph autonomous construction system. Background Art

[0002] With the rapid development of the global Industrial Internet of Things, users in the Industrial Internet of Things are becoming more and more dependent on Industrial Internet of Things resources. As the types of resources in the Industrial Internet of Things increase and the amount of resources increases, how to quickly and effectively respond to resource demands is a problem that must be faced and solved in this era of the Industrial Internet of Things. For various isolated resources in the Industrial Internet of Things, the correlation between resources is weak and the collaborative supply capacity is poor. If knowledge graphs are introduced into the resources of the Industrial Internet of Things to strengthen the correlation between various resources, it will greatly promote the efficient response to resource requests. Summary of the invention

[0003] A brief summary of one or more aspects is given below to provide a basic understanding of these aspects. This summary is not an exhaustive overview of all conceived aspects, and is neither intended to identify the key or critical elements of all aspects nor to define the scope of any or all aspects. Its only purpose is to give some concepts of one or more aspects in a simplified form as a prelude to a more detailed description that will be given later.

[0004] The purpose of the present invention is to solve the above problems and provide an autonomous construction system for the industrial Internet of Things knowledge graph. The resource library of the industrial Internet of Things knowledge graph is established through a collection module and a classification module. At the same time, the real-time update and entry of the industrial Internet of Things knowledge graph is realized through a unit module and a storage module, providing a basic framework and knowledge points for the construction of the industrial Internet of Things knowledge graph.

[0005] The technical solution of the present invention is:

[0006] The present invention provides an industrial Internet of Things knowledge graph autonomous construction system, including a collection module, a classification module, a unit module and a storage module; wherein,

[0007] The collection module is used to collect the industrial Internet of Things knowledge graph, and transmit the collected industrial Internet of Things knowledge graph to the classification module for classification;

[0008] The classification module is used to classify the received industrial Internet of Things knowledge graph and transmit the classified industrial Internet of Things knowledge graph to the unit module for unit group allocation;

[0009] The unit module allocates the received industrial Internet of Things knowledge graph to the corresponding unit group according to the classification of the industrial Internet of Things knowledge graph, and sends the industrial Internet of Things knowledge graph allocated to the unit group to the storage module for storage;

[0010] The storage module stores the received industrial Internet of Things knowledge graph classification into a resource library according to the industrial Internet of Things knowledge graph classification and the assigned unit group.

[0011] According to an embodiment of the industrial Internet of Things knowledge graph autonomous construction system of the present invention, an input unit is provided in the collection module; wherein the collection module obtains the industrial Internet of Things knowledge graph through the client input terminal and the collection device built into the input unit, and transmits the collected industrial Internet of Things knowledge graph to the classification module for classification.

[0012] According to an embodiment of the industrial Internet of Things knowledge graph autonomous construction system of the present invention, a detection device is provided between the input unit and the resource library, the customer input terminal and the collection device; wherein the detection device is used to detect the stability of the industrial Internet of Things knowledge graph autonomous construction system.

[0013] According to an embodiment of the industrial Internet of Things knowledge graph autonomous construction system of the present invention, the industrial Internet of Things knowledge graph classification includes customer classification, time classification, security classification, tag classification and variable classification; wherein, the classification module divides the received industrial Internet of Things knowledge graph into customer classification, time classification, security classification, tag classification and variable classification according to the industrial Internet of Things knowledge graph classification, and then transmits the classified industrial Internet of Things knowledge graph to the unit module for unit group allocation.

[0014] According to an embodiment of the industrial Internet of Things knowledge graph autonomous construction system of the present invention, the unit module includes multiple unit groups, which are connected to the storage module through the unit groups; wherein, the unit module assigns the received industrial Internet of Things knowledge graph to the corresponding unit group according to the industrial Internet of Things knowledge graph classification, and then transmits the industrial Internet of Things knowledge graph to the storage module for storage through the assigned unit group.

[0015] According to an embodiment of the industrial Internet of Things knowledge graph autonomous construction system of the present invention, the storage module includes a classification storage unit, a data overlay storage unit and a data extraction unit; wherein,

[0016] The classification storage unit is used to classify and store the received industrial Internet of Things knowledge graph according to the industrial Internet of Things knowledge graph classification and unit group;

[0017] The data overlay storage unit is used to perform data overlay storage on the same industrial Internet of Things knowledge graph classification and the industrial Internet of Things knowledge graph of the same unit group;

[0018] The data extraction unit is used to provide a data extraction port to the outside.

[0019] According to an embodiment of the industrial Internet of Things knowledge graph autonomous construction system of the present invention, an input end is provided in the data extraction unit; wherein, the input end and the customer input end in the collection module are both provided with an identification key device, and the security of the industrial Internet of Things knowledge graph passing through is detected by a security key detection device.

[0020] According to an embodiment of the industrial Internet of Things knowledge graph autonomous construction system of the present invention, the industrial Internet of Things knowledge graph autonomous construction system also includes an identification module; wherein the identification module is connected to the resource library via the Internet, and the industrial Internet of Things knowledge graph autonomous construction system identifies the industrial Internet of Things knowledge graph classification stored in the resource library through the identification module, thereby quickly querying the corresponding industrial Internet of Things knowledge graph.

[0021] According to an embodiment of the industrial Internet of Things knowledge graph autonomous construction system of the present invention, the identification module identifies the industrial Internet of Things knowledge graph classification stored in the resource library according to the industrial Internet of Things knowledge graph classification set by the classification module; wherein the identification module includes customer identification, time identification, security identification, duplicate identification and variable identification.

[0022] The present invention also discloses an industrial Internet of Things knowledge graph autonomous construction device, characterized in that the industrial Internet of Things knowledge graph autonomous construction device has a built-in industrial Internet of Things knowledge graph autonomous construction system as described above.

[0023] Compared with the prior art, the present invention has the following beneficial effects: the present invention aims at the construction of the industrial Internet of Things knowledge graph, establishes an industrial Internet of Things knowledge graph autonomous construction system, collects the industrial Internet of Things knowledge graph through the collection module and the classification module, and classifies it, and then allocates the corresponding unit group to the classified industrial Internet of Things knowledge graph according to the classification of the industrial Internet of Things knowledge graph, thereby realizing the classified storage of the industrial Internet of Things knowledge graph. Compared with the prior art, the present invention solves the problem of repeated identification and classified storage of information input in the process of self-construction of the industrial Internet of Things knowledge graph, and can conveniently store and extract the corresponding data and framework in the process of knowledge graph construction in the industrial Internet of Things knowledge graph through different industrial Internet of Things knowledge graph classifications. In addition, the present invention also includes an identification module, which cooperates with the identification module to identify the classified industrial Internet of Things knowledge graph, which can facilitate the subsequent extraction of data in the industrial Internet of Things knowledge graph and improve the utilization efficiency of the industrial Internet of Things knowledge graph. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The above features and advantages of the present invention can be better understood after reading the detailed description of the embodiments of the present disclosure in conjunction with the following drawings. In the drawings, the components are not necessarily drawn to scale, and components with similar related properties or features may have the same or similar reference numerals.

[0025] Figure 1 It is an architecture diagram showing an embodiment of an industrial Internet of Things knowledge graph autonomous construction system of the present invention. DETAILED DESCRIPTION

[0026] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. Note that the aspects described below in conjunction with the accompanying drawings and specific embodiments are only exemplary and should not be construed as limiting the scope of protection of the present invention in any way.

[0027] Here, we disclose an autonomous construction system for industrial Internet of Things knowledge graphs. Figure 1 1 is an architecture diagram showing an embodiment of the industrial Internet of Things knowledge graph autonomous construction system of the present invention. Figure 1 As shown, in this embodiment, the industrial Internet of Things knowledge graph autonomous construction system includes a collection module, a classification module, a storage module, a unit module and an identification module. Among them, the collection module is used to collect the industrial Internet of Things knowledge graph, and transmit the collected industrial Internet of Things knowledge graph to the classification module for classification. The classification module is used to classify the received industrial Internet of Things knowledge graph, and transmit the classified industrial Internet of Things knowledge graph to the unit module for unit group allocation. The unit module allocates the received industrial Internet of Things knowledge graph to the corresponding unit group according to the industrial Internet of Things knowledge graph classification, and sends the industrial Internet of Things knowledge graph with the allocated unit group to the storage module for storage. The storage module classifies the received industrial Internet of Things knowledge graph according to the industrial Internet of Things knowledge graph classification and the allocated unit group and stores it in the resource library.

[0028] Specifically, in this embodiment, in order to realize the automatic construction of the industrial Internet of Things knowledge graph, the known industrial Internet of Things knowledge graph is first entered through the collection module. Among them, the collection module is provided with an input unit, and the input unit is provided with a customer input terminal and a collection device. The collection module enters the industrial Internet of Things knowledge graph through the built-in customer input terminal and collection device in the input unit, and transmits the collected industrial Internet of Things knowledge graph to the classification module for classification.

[0029] In addition, in this embodiment, a detection device is provided between the input unit and the resource library, the client input terminal and the collecting device. The industrial Internet of Things knowledge graph autonomous construction system ensures the stability of the industrial Internet of Things knowledge graph autonomous construction system through the detection device, thereby improving data quality and accuracy.

[0030] In this embodiment, the industrial Internet of Things knowledge graph classification includes customer classification, time classification, security classification, tag classification and variable classification. After the classification module receives the industrial Internet of Things knowledge graph transmitted by the collection module, it divides the received industrial Internet of Things knowledge graph into customer classification, time classification, security classification, tag classification and variable classification according to the set industrial Internet of Things knowledge graph classification, and transmits the classified industrial Internet of Things knowledge graph to the unit module for unit group allocation.

[0031] In this embodiment, the unit module includes a plurality of unit groups, each unit group corresponding to an industrial Internet of Things knowledge graph classification. The unit module is connected to the storage module through the unit group, so as to transfer the received industrial Internet of Things knowledge graph to the storage module for storage. Among them, before the unit module transfers the received industrial Internet of Things knowledge graph to the storage module for storage, it is first necessary to allocate the received industrial Internet of Things knowledge graph to the corresponding unit group according to the industrial Internet of Things knowledge graph classification, and then transfer the industrial Internet of Things knowledge graph to the storage module for storage through the allocated unit group.

[0032] Furthermore, in this embodiment, the storage module includes a classification storage unit, a data overlay storage unit, and a data extraction unit. Among them, after the storage module receives the industrial Internet of Things knowledge graph, the classification storage unit classifies and stores the received industrial Internet of Things knowledge graph according to the industrial Internet of Things knowledge graph classification and unit group. For the industrial Internet of Things knowledge graphs of the same industrial Internet of Things knowledge graph classification and the same unit group, the data overlay storage unit can be used for data overlay storage. The data extraction unit is used to provide a data extraction port to the outside, so that users can obtain the industrial Internet of Things knowledge graph stored in the resource library.

[0033] In addition, in this embodiment, an input terminal is also provided in the data extraction unit. Among them, the input terminal in the data extraction unit and the client input terminal in the input unit are both provided with identification key devices, and the security of the industrial Internet of Things knowledge graph passing through is detected by the security key detection device. Therefore, in this embodiment, by setting the key corresponding to the client input terminal and the input terminal, the security protection of the industrial Internet of Things knowledge graph during the information entry and information extraction process can be achieved, and at the same time, the protection of the framework information in the system is realized, ensuring the security of information resources during the autonomous construction of the industrial Internet of Things resource knowledge graph.

[0034] In this embodiment, the industrial Internet of Things knowledge graph autonomous construction system also includes an identification module. The identification module is connected to the resource library through the Internet, and the industrial Internet of Things knowledge graph autonomous construction system identifies the industrial Internet of Things knowledge graph classification stored in the resource library through the identification module, so as to quickly query and obtain the corresponding industrial Internet of Things knowledge graph.

[0035] In addition, in this embodiment, in order to improve the recognition accuracy of the industrial Internet of Things knowledge graph, the recognition module also identifies the industrial Internet of Things knowledge graph classification stored in the resource library according to the industrial Internet of Things knowledge graph classification set by the classification module, including customer recognition, time recognition, security recognition, duplicate recognition and variable recognition. The industrial Internet of Things knowledge graph autonomous construction system can quickly identify customer classification, time classification, security classification, tag classification and variable classification of industrial Internet of Things knowledge graph classification through the recognition module. Therefore, in this embodiment, combined with the construction method of the high industrial Internet of Things knowledge graph of classified storage and separate identification, the industrial Internet of Things knowledge graph autonomous construction system can easily query the corresponding information in the process of self-constructing the knowledge graph, which is convenient for the convenient extraction of relevant information in the process of constructing the knowledge graph.

[0036] The present invention also discloses an industrial Internet of Things knowledge graph autonomous construction device, wherein the industrial Internet of Things knowledge graph autonomous construction device is built with the industrial Internet of Things knowledge graph autonomous construction system as described above, so as to realize autonomous construction of the industrial Internet of Things knowledge graph.

[0037] The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be apparent to those skilled in the art, and the general principles defined herein may be applied to other variations without departing from the spirit or scope of the disclosure. Thus, the disclosure is not intended to be limited to the examples and designs described herein, but should be granted the widest scope consistent with the principles and novel features disclosed herein.

[0038] Those skilled in the art will further appreciate that the various illustrative logic blocks, modules, circuits, and algorithm steps described in conjunction with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or a combination of the two. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps are generally described above in terms of their functionality. Whether such functionality is implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system. The technician may implement the described functionality in different ways for each specific application, but such implementation decisions should not be interpreted as resulting in a departure from the scope of the present invention.

[0039] The various illustrative logic blocks, modules, and circuits described in conjunction with the embodiments disclosed herein may be implemented or performed with a general purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. The processor may also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in cooperation with a DSP core, or any other such configuration.

[0040] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software module may reside in a RAM memory, a flash memory, a ROM memory, an EPROM memory, an EEPROM memory, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to a processor so that the processor can read and write information from / to the storage medium. In an alternative, a storage medium may be integrated into a processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In an alternative, the processor and the storage medium may reside in a user terminal as discrete components.

[0041] In one or more exemplary embodiments, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented as a computer program product in software, each function may be stored on or transmitted by a computer-readable medium as one or more instructions or codes. Computer-readable media include both computer storage media and communication media, including any medium that facilitates the transfer of a computer program from one place to another. Storage media may be any available medium that can be accessed by a computer. As an example and not limitation, such a computer-readable medium may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer. Any connection is also properly referred to as a computer-readable medium. For example, if the software is transmitted from a website, a server, or other remote source using a coaxial cable, a fiber optic cable, a twisted pair, a digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwaves, the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwaves are included in the definition of the medium. Disk and disc as used herein include compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and Blu-ray disc, wherein disk often reproduces data magnetically, while disc reproduces data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.

Claims

1. An industrial Internet of Things knowledge graph autonomous construction system, characterized in that: It includes a collection module, a classification module, a unit module and a storage module; wherein, The collection module is used to collect the industrial Internet of Things knowledge graph, and transmit the collected industrial Internet of Things knowledge graph to the classification module for classification; The classification module is used to classify the received industrial Internet of Things knowledge graph and transmit the classified industrial Internet of Things knowledge graph to the unit module for unit group allocation; The unit module allocates the received industrial Internet of Things knowledge graph to the corresponding unit group according to the classification of the industrial Internet of Things knowledge graph, and sends the industrial Internet of Things knowledge graph allocated to the unit group to the storage module for storage; The storage module stores the received industrial Internet of Things knowledge graph classification into a resource library according to the industrial Internet of Things knowledge graph classification and the assigned unit group.

2. The industrial Internet of Things knowledge graph autonomous construction system according to claim 1 is characterized in that: An input unit is provided in the collection module; wherein the collection module obtains the industrial Internet of Things knowledge graph through the client input terminal and the collecting device built into the input unit, and transmits the collected industrial Internet of Things knowledge graph to the classification module for classification.

3. The industrial Internet of Things knowledge graph autonomous construction system according to claim 2 is characterized in that: A detection device is provided between the input unit and the resource library, the client input terminal and the collecting device; wherein the detection device is used to detect the stability of the autonomous construction system of the industrial Internet of Things knowledge graph.

4. The industrial Internet of Things knowledge graph autonomous construction system according to claim 1 is characterized in that: The industrial Internet of Things knowledge graph classification includes customer classification, time classification, security classification, tag classification and variable classification; wherein, the classification module divides the received industrial Internet of Things knowledge graph into customer classification, time classification, security classification, tag classification and variable classification according to the industrial Internet of Things knowledge graph classification, and then transmits the classified industrial Internet of Things knowledge graph to the unit module for unit group allocation.

5. The industrial Internet of Things knowledge graph autonomous construction system according to claim 1 is characterized in that: The unit module includes multiple unit groups, which are connected to the storage module through the unit groups; wherein, the unit module assigns the received industrial Internet of Things knowledge graph to the corresponding unit group according to the classification of the industrial Internet of Things knowledge graph, and then transmits the industrial Internet of Things knowledge graph to the storage module for storage through the assigned unit group.

6. The industrial Internet of Things knowledge graph autonomous construction system according to claim 1 is characterized in that: The storage module includes a classification storage unit, a data superposition storage unit and a data extraction unit; wherein, The classification storage unit is used to classify and store the received industrial Internet of Things knowledge graph according to the industrial Internet of Things knowledge graph classification and unit group; The data overlay storage unit is used to perform data overlay storage on the same industrial Internet of Things knowledge graph classification and the industrial Internet of Things knowledge graph of the same unit group; The data extraction unit is used to provide a data extraction port to the outside.

7. The industrial Internet of Things knowledge graph autonomous construction system according to claim 6 is characterized in that: An input end is provided in the data extraction unit; wherein, the input end and the customer input end in the collection module are both provided with an identification key device, and the security of the industrial Internet of Things knowledge graph passing through is detected by a security key detection device.

8. The industrial Internet of Things knowledge graph autonomous construction system according to claim 1 is characterized in that: The industrial Internet of Things knowledge graph autonomous construction system also includes an identification module; wherein the identification module is connected to a resource library via the Internet, and the industrial Internet of Things knowledge graph autonomous construction system identifies the industrial Internet of Things knowledge graph classification stored in the resource library through the identification module, thereby quickly querying the corresponding industrial Internet of Things knowledge graph.

9. The industrial Internet of Things knowledge graph autonomous construction system according to claim 8 is characterized in that: The identification module identifies the industrial Internet of Things knowledge graph classification stored in the resource library according to the industrial Internet of Things knowledge graph classification set by the classification module; wherein the identification module includes customer identification, time identification, security identification, duplicate identification and variable identification.

10. An industrial Internet of Things knowledge graph autonomous construction device, characterized in that: The industrial Internet of Things knowledge graph autonomous construction device has a built-in industrial Internet of Things knowledge graph autonomous construction system as described in any one of claims 1 to 9.

Images