Distributed networking system and method of IoT sensors based on intent-driven

Abstract

The present invention discloses an intent-driven distributed networking system and method for IoT sensors. The system includes an IoT virtual sensor simulation platform, a sensor distributed networking planning platform, and an IoT management platform. The IoT virtual sensor simulation platform includes: a virtual sensor digital twin simulation component, a virtual sensor deployment decision component, and a virtual sensor deployment display component; the sensor distributed networking planning platform includes a distributed networking solution decision component, a distributed networking performance evaluation component, and a distributed networking digital twin simulation component; the IoT management platform includes an IoT management component and an IoT display component. The networking method based on the system adopts intent-driven network management technology and combines digital twin technology to realize the simulation of IoT sensors, update the design optimization and deployment of sensors in real time, and enhance the globality and real-time performance of distributed networking optimization.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and in particular to a distributed networking system and method of Internet of Things sensors based on intent-driven. Background Art

[0002] As the scale of power grid continues to expand, the operation and maintenance of power transmission and transformation equipment is becoming increasingly difficult, and there is an urgent need to change the flexibility and dynamic optimization of the distributed networking solutions of traditional sensors. At present, although there have been great breakthroughs and achievements in the distributed networking technology of IoT sensors at home and abroad, in the actual application process, there are still problems such as rigid solutions, low globality, and poor real-time optimization of networking solutions. Summary of the invention

[0003] Therefore, in order to overcome the shortcomings of low globality and poor real-time performance of existing distributed networking solutions for IoT sensors, the present invention provides a distributed networking system and method for IoT sensors based on intent-driven, which optimizes the design and deployment of IoT sensors based on digital twin technology, and supports the progressive development of distributed networking solutions and sensor design technologies; combined with intent-driven network management technology, the network is optimized according to the intent to achieve the requirements and goals of network management.

[0004] In order to achieve the above object, the present invention provides the following technical solutions:

[0005] The present invention provides an intent-driven distributed networking system for Internet of Things sensors, comprising: an Internet of Things management platform, a sensor distributed networking planning platform, and an Internet of Things virtual sensor simulation platform, wherein:

[0006] IoT management platform, including:

[0007] The Internet of Things management component is used to receive the user's intention information, generate a networking solution decision instruction corresponding to the intention information, monitor the change in the sensor distributed networking performance evaluation results, trigger the sending of the networking solution decision instruction when the change exceeds the preset judgment threshold, and make the optimal sensor distributed networking decision based on the performance evaluation results sent by the sensor distributed networking planning platform;

[0008] The IoT display component is used to display the final decision information of the optimal sensor distributed networking decision corresponding to the sensor distributed networking when the user's intention is met;

[0009] Sensor distributed networking planning platform, including:

[0010] The distributed networking solution decision component is used to perform intent-driven network status analysis based on the networking solution decision instructions sent by the IoT management component to form all possible sets of virtual sensor designs, deployment locations, and network communication solutions; and receive the networking solution optimization decision instructions sent by the virtual sensor deployment decision component to generate a networking solution performance evaluation trigger event;

[0011] The distributed networking performance evaluation component is used to evaluate the generated networking solution performance evaluation trigger event and obtain the sensor distributed networking performance evaluation result;

[0012] Distributed networking digital twin simulation component, used to perform networking simulation based on the sensor distributed networking performance evaluation results;

[0013] IoT virtual sensor simulation platform, including:

[0014] The virtual sensor deployment decision component is used to receive all possible sets sent by the distributed networking solution decision component, determine the feasibility of the virtual sensor design, deployment location and network communication solution based on digital twin technology, make the optimal sensor distributed networking decision, and generate networking solution optimization decision instructions;

[0015] Virtual sensor digital twin simulation component, used to optimize decision instructions according to the networking solution, simulate the corresponding virtual sensor and the environmental background of the sensor;

[0016] The virtual sensor deployment display component is used to display the simulated virtual sensors and the twins of the environmental background where the sensors are located.

[0017] In one embodiment, the virtual sensor digital twin simulation component simulates the virtual sensor from the aspects of sensor structure, material, sensing performance, and deployment location feasibility based on digital twin simulation technology, and displays it on the virtual sensor deployment display component.

[0018] In one embodiment, the virtual sensor deployment decision component dynamically simulates and generates an optimal virtual sensor distributed networking solution.

[0019] In a second aspect, an embodiment of the present invention provides a distributed networking method of an intent-driven IoT sensor, and a distributed networking system of an intent-driven IoT sensor according to any embodiment of the first aspect, comprising:

[0020] The IoT management component receives the user's intention information, generates a networking solution decision instruction corresponding to the intention information, and sends it to the distributed networking solution decision component;

[0021] The distributed networking solution decision component performs an intent-driven network status analysis based on the received networking solution decision instruction, forms all possible sets of virtual sensor deployment locations and network communication solutions based on the analysis results, and sends all possible sets to the virtual sensor deployment decision component;

[0022] After receiving all possible sets, the virtual sensor deployment decision component calls the virtual sensor digital twin simulation component to perform simulation analysis on all possible sets, and sends the simulation analysis results to the virtual sensor deployment decision component;

[0023] The virtual sensor deployment decision component makes the optimal sensor distributed networking decision according to the simulation analysis results, and sends the optimal sensor distributed networking decision to the distributed networking solution decision component in the form of a networking solution optimization decision instruction;

[0024] After receiving the networking solution optimization decision instruction, the distributed networking solution decision component generates a networking solution performance evaluation trigger event, calls the distributed networking performance evaluation component, performs performance evaluation on the optimal sensor distributed networking decision based on the preset evaluation factors, generates a performance evaluation result, and sends it to the Internet of Things management component;

[0025] The Internet of Things management component makes the optimal sensor distributed networking decision based on the performance evaluation results, and when it determines that the user's intention is met, it displays the final decision information of the sensor distributed networking corresponding to the optimal sensor distributed networking decision through the Internet of Things display component.

[0026] In one embodiment, whether the networking solution decision instruction of the Internet of Things management component is issued depends on whether the change between the current performance evaluation result and the previous evaluation result exceeds a preset judgment threshold. When the change in the evaluation result exceeds the preset judgment threshold, the decision instruction is sent to the networking solution decision component; or it depends on whether new user intent information is received. When new user intent information is received, a networking solution decision instruction corresponding to the intent information is generated and sent to the distributed networking solution decision component; wherein, the priority of issuing the networking solution decision instruction when new user intent information is received is greater than the priority of issuing the networking solution decision instruction when the change in the evaluation result exceeds the preset judgment threshold.

[0027] In one embodiment, the preset evaluation factors include: the number of aggregation node hops, the traffic carrying capacity of the aggregation node, the communication mode, the delay, and the packet loss rate.

[0028] In one embodiment, the Internet of Things management component self-optimizes the judgment threshold of the change amount of the evaluation result based on the knowledge base self-learning module, learns the networking solution optimization instructions and absorbs them into the knowledge base.

[0029] The final decision information includes: sensor design, sensor deployment, sensor communication method, distributed networking network method and network topology.

[0030] In a third aspect, an embodiment of the present invention provides a computer device, comprising: at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor executes the distributed networking method of the Internet of Things sensors based on intent-driven Internet of Things according to the first aspect of the embodiment of the present invention.

[0031] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable a computer to execute the distributed networking method of the Internet of Things sensors based on intent-driven according to the first aspect of the embodiment of the present invention.

[0032] The technical solution of the present invention has the following advantages:

[0033] 1. The intent-driven distributed networking system of the Internet of Things sensor provided by the embodiment of the present invention jointly completes the simulation design and deployment of the virtual sensor through the virtual sensor digital twin simulation component and the virtual sensor deployment decision component of the Internet of Things virtual sensor simulation platform; completes the performance evaluation and result simulation of the virtual sensor distributed networking through the distributed networking performance evaluation component and the distributed networking digital twin simulation component of the sensor distributed networking planning platform; uses the virtual sensor deployment decision component of the Internet of Things virtual sensor simulation platform, the distributed networking solution decision component of the sensor distributed networking planning platform, and the Internet of Things management component to jointly optimize and form the sensor distributed networking solution according to the intent, thereby optimizing the sensor distributed networking method and achieving the requirements and goals of network management.

[0034] 2. The distributed networking method of the intent-driven IoT sensor proposed in the present invention utilizes intent-driven network management technology, comprehensively considers the actual environment around the sensor and the rationality of the deployment of the sensor on the line, the sensing performance and other aspects, and adopts digital twin technology to realize the simulation of the IoT sensor and update the design optimization and deployment of the sensor in real time; through the self-optimizing judgment threshold, the triggering of the networking scheme optimization instruction is realized, so as to better realize the real-time and comprehensiveness of the distributed networking performance of the IoT sensor, further realize the optimized design of the IoT sensor, and achieve the requirements and goals of network management. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0036] Figure 1 This is a diagram showing an example of the structure of a distributed networking system of an intent-driven IoT sensor provided in an embodiment of the present invention;

[0037] Figure 2 A flowchart of a distributed networking method of an intent-driven Internet of Things sensor provided in an embodiment of the present invention;

[0038] Figure 3 The figure is a structural block diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0039] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0041] Example 1

[0042] In order to support the diversified development of distributed networking solutions and better optimize the design and deployment of IoT sensors, the present invention provides an intent-driven IoT sensor distributed networking system. Based on the intent-driven network management technology, the distributed networking solution of IoT sensors can be globally optimized and updated in real time. In practice, it can be applied to the distributed networking of power transmission and transformation equipment, such as Figure 1 As shown, the system includes: an Internet of Things management platform, a sensor distributed networking planning platform, and an Internet of Things virtual sensor simulation platform.

[0043] Specifically, the IoT management platform includes:

[0044] 1. IoT management component, which is used to receive the user's intention information, generate the networking solution decision instruction corresponding to the intention information, monitor the change in the sensor distributed networking performance evaluation results, trigger the sending of the networking solution decision instruction when the change exceeds the preset judgment threshold, and make the optimal sensor distributed networking decision according to the performance evaluation results sent by the sensor distributed networking planning platform;

[0045] 2. The Internet of Things display component is used to display the final decision information of the sensor distributed networking corresponding to the optimal sensor distributed networking decision when the user's intention is met.

[0046] It should be noted that the Internet of Things management component needs to be manually triggered (for example, it is self-triggered at startup) when issuing the networking solution decision instruction for the first time. The networking solution decision instruction is based on the instruction corresponding to the user's intention information. Subsequently, by monitoring the change in the sensor distributed networking performance evaluation result, it is automatically triggered by setting the change judgment threshold or generating instructions corresponding to the intention information according to the new user intention. In one embodiment, the Internet of Things management component includes a knowledge base self-learning module, which self-optimizes the judgment threshold of the evaluation result change, learns the networking solution optimization instruction and absorbs it into the knowledge base, and triggers the networking solution optimization instruction through the self-optimized judgment threshold. The final decision information displayed by the Internet of Things display component includes: sensor design, sensor deployment, sensor communication method, distributed networking network method and network topology.

[0047] Specifically, the sensor distributed networking planning platform includes:

[0048] 1. Distributed networking solution decision component, which is used to perform intent-driven network status analysis based on the networking solution decision instructions sent by the Internet of Things management component, form all possible sets of virtual sensor designs, deployment locations and network communication solutions; and receive networking solution optimization decision instructions sent by the virtual sensor deployment decision component to generate networking solution performance evaluation trigger events.

[0049] 2. Distributed networking performance evaluation component, used to evaluate the generated networking solution performance evaluation trigger event and obtain the sensor distributed networking performance evaluation result.

[0050] 3. Distributed networking digital twin simulation component, used to perform networking simulation based on the sensor distributed networking performance evaluation results.

[0051] In a specific embodiment, after receiving the networking solution optimization instruction, the distributed networking solution decision component performs big data analysis (including data on sensor materials, performance, communication methods, power transmission and transformation equipment, etc.) based on data mining, machine learning, neural networks (only as an example, not limited to this, other artificial intelligence algorithm tools can also be used in other embodiments) to form all possible sets of virtual sensor designs, deployment locations and network communication solutions. The preset evaluation factors in the performance evaluator include: the number of aggregation node hops, the aggregation node traffic carrying capacity, communication method, delay, and packet loss rate. The above are only examples and are not limited to this. In actual applications, reasonable settings can be made according to the actual IoT sensor application scenarios. Specifically, the IoT virtual sensor simulation platform includes:

[0052] 1. Virtual sensor deployment decision component, which is used to determine the feasibility of the design, deployment location and network communication scheme of virtual sensors based on digital twin technology, make the optimal sensor distributed networking decision, and generate networking scheme optimization instructions.

[0053] 2. The virtual sensor digital twin simulation component is used to simulate the corresponding virtual sensors and power transmission and transformation environment background based on the sensor distributed networking decision.

[0054] 3. Virtual sensor deployment display component, used to display the simulated virtual sensors and twins of the power transmission and transformation lines.

[0055] The virtual sensor digital twin simulation component in the embodiment of the present invention simulates the virtual sensor from the aspects of sensor structure, material, sensing performance, and deployment location feasibility based on digital twin simulation technology, dynamically generates the optimal virtual sensor distributed networking solution, and displays the simulation results on the virtual sensor deployment display component.

[0056] The intent-driven distributed networking system of the Internet of Things sensors provided in the embodiment of the present invention jointly completes the simulation design and deployment of virtual sensors through the virtual sensor digital twin simulation component and the virtual sensor deployment decision component of the Internet of Things virtual sensor simulation platform; completes the performance evaluation and result simulation of the distributed networking of virtual sensors through the distributed networking performance evaluation component and the distributed networking digital twin simulation component of the sensor distributed networking planning platform; through the virtual sensor deployment decision component of the Internet of Things virtual sensor simulation platform, the distributed networking solution decision component of the sensor distributed networking planning platform, and the Internet of Things management component of the Internet of Things management platform, the intent-driven network management technology is used to jointly optimize and form the sensor distributed networking solution according to the intent, so as to achieve the requirements and goals of network management.

[0057] The intent-driven distributed networking system of IoT sensors provided in the embodiment of the present invention makes full use of digital twin technology, combines the dynamic generation scheme of virtual sensor deployment locations and distributed networking methods, and further optimizes the sensor distributed networking method to achieve the optimal state of network performance.

[0058] Example 2

[0059] The embodiment of the present invention provides a distributed networking method of an intent-driven Internet of Things sensor, and the distributed networking system of the intent-driven Internet of Things sensor based on any embodiment of Embodiment 1 includes the following steps:

[0060] Step S1: The Internet of Things management component receives the user's intention information, generates a networking solution decision instruction corresponding to the intention information, and sends it to the distributed networking solution decision component.

[0061] In an embodiment of the present invention, when a networking scheme optimization instruction occurs for the first time, manual triggering (for example, self-triggering at power-on) or user intention triggering is required. Subsequently, by monitoring the change in the sensor distributed networking performance evaluation results, the change amount judgment threshold is set or the sending is automatically triggered according to the new user intention.

[0062] Step S2: The distributed networking solution decision component performs an intent-driven network status analysis based on the received networking solution decision instruction, forms all possible sets of virtual sensor deployment locations and network communication solutions based on the analysis results, and sends all possible sets to the virtual sensor deployment decision component.

[0063] In one embodiment, big data analysis is performed based on data mining, machine learning, and neural networks (only as an example, not limited to this, other artificial intelligence algorithm tools can also be used in other embodiments), and the data involved include sensor materials, performance data, communication method data, power transmission and transformation equipment data, etc.

[0064] Step S3: After receiving all possible sets, the virtual sensor deployment decision component calls the virtual sensor digital twin simulation component to perform simulation analysis on all possible sets, and sends the simulation analysis results to the virtual sensor deployment decision component.

[0065] Step S4: the virtual sensor deployment decision component makes an optimal sensor distributed networking decision based on the simulation analysis results, and sends the optimal sensor distributed networking decision to the distributed networking solution decision component in the form of a networking solution optimization decision instruction;

[0066] Step S5: After receiving the networking solution optimization decision instruction, the distributed networking solution decision component generates a networking solution performance evaluation trigger event, calls the distributed networking performance evaluation component, performs a performance evaluation on the optimal sensor distributed networking decision based on the preset evaluation factors, generates a performance evaluation result, and sends it to the Internet of Things management component.

[0067] The preset evaluation factors used by the distributed networking performance evaluation component include: the number of aggregation node hops, the aggregation node traffic carrying capacity, the communication method, the delay, and the packet loss rate. The evaluation process can obtain the evaluation result based on the weighted sum of the evaluation factors. This is only for illustration and is not limited to this.

[0068] Step S6: The Internet of Things management component makes the optimal sensor distributed networking decision based on the performance evaluation results, and displays the final decision information of the sensor distributed networking corresponding to the optimal sensor distributed networking decision through the Internet of Things display component when it is determined that the user's intention is met.

[0069] In this embodiment, the final decision information includes: sensor design, sensor deployment, sensor communication mode, distributed networking network mode and network topology. Whether the networking solution decision instruction of the Internet of Things management component is issued depends on whether the change between the performance evaluation result of this time and the last evaluation result exceeds the preset judgment threshold. When the change of the evaluation result exceeds the preset judgment threshold, the decision instruction is sent to the decision component of the networking solution; or it depends on whether new user intention information is received. When new user intention information is received, a networking solution decision instruction corresponding to the intention information is generated and sent to the distributed networking solution decision component; wherein, when the new user intention information is received, the priority of issuing the networking solution decision instruction is greater than the priority of issuing the networking solution decision instruction when the change of the evaluation result exceeds the preset judgment threshold.

[0070] In the embodiment of the present invention, the Internet of Things management component self-optimizes the judgment threshold of the change in the evaluation result based on the knowledge base self-learning module, learns the networking solution optimization instructions and absorbs them into the knowledge base, and triggers the networking solution optimization instructions through the self-optimized judgment threshold, thereby better realizing the real-time, accuracy and comprehensiveness of the distributed networking performance of the Internet of Things sensors, and better realizing the optimized design of the Internet of Things sensors.

[0071] Example 3

[0072] An embodiment of the present invention provides a computer device, such as Figure 3As shown, it includes: at least one processor 401, such as a CPU (Central Processing Unit), at least one communication interface 403, a memory 404, and at least one communication bus 402. Among them, the communication bus 402 is used to realize the connection and communication between these components. Among them, the communication interface 403 may include a display screen (Display), a keyboard (Keyboard), and the optional communication interface 403 may also include a standard wired interface and a wireless interface. The memory 404 may be a high-speed RAM memory (Ramdom Access Memory, volatile random access memory) or a non-volatile memory (non-volatile memory), such as at least one disk memory. The memory 404 may also be at least one storage device located away from the aforementioned processor 401. Among them, the processor 401 can execute the distributed networking method of the Internet of Things sensor based on intent-driven embodiment 1. A set of program codes are stored in the memory 404, and the processor 401 calls the program code stored in the memory 404 to execute the distributed networking method of the Internet of Things sensor based on intent-driven embodiment 1.

[0073] The communication bus 402 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus. The communication bus 402 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 The fact that only one line is used in the diagram does not mean that there is only one bus or only one type of bus.

[0074] Among them, the memory 404 may include a volatile memory (English: volatile memory), such as a random access memory (English: random-access memory, abbreviated: RAM); the memory may also include a non-volatile memory (English: non-volatile memory), such as a flash memory (English: flash memory), a hard disk drive (English: hard disk drive, abbreviated: HDD) or a solid-state drive (English: solid-state drive, abbreviated: SSD); the memory 404 may also include a combination of the above types of memory.

[0075] The processor 401 may be a central processing unit (CPU), a network processor (NP), or a combination of a CPU and a NP.

[0076] The processor 401 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The PLD may be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL), or any combination thereof.

[0077] Optionally, the memory 404 is also used to store program instructions. The processor 401 can call the program instructions to implement the distributed networking method of the Internet of Things sensor based on intent-driven execution in Example 1 of the present application.

[0078] The embodiment of the present invention also provides a computer-readable storage medium, on which computer-executable instructions are stored, and the computer-executable instructions can execute the distributed networking method of the intent-driven IoT sensor of embodiment 1. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk (HDD) or a solid-state drive (SSD), etc.; the storage medium may also include a combination of the above-mentioned types of memory.

[0079] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived from these are still within the scope of protection of the invention.

Claims

1. A distributed networking system of IoT sensors based on intent-driven, characterized in that: include: Internet of Things management platform, sensor distributed networking planning platform, Internet of Things virtual sensor simulation platform, including: IoT management platform, including: The Internet of Things management component is used to receive the user's intention information, generate a networking solution decision instruction corresponding to the intention information, monitor the change in the sensor distributed networking performance evaluation results, trigger the sending of the networking solution decision instruction when the change exceeds the preset judgment threshold, and make the optimal sensor distributed networking decision based on the performance evaluation results sent by the sensor distributed networking planning platform; The IoT display component is used to display the final decision information of the optimal sensor distributed networking decision corresponding to the sensor distributed networking when the user's intention is met; Sensor distributed networking planning platform, including: The distributed networking solution decision component is used to perform intent-driven network status analysis based on the networking solution decision instructions sent by the IoT management component to form all possible sets of virtual sensor designs, deployment locations, and network communication solutions; and receive the networking solution optimization decision instructions sent by the virtual sensor deployment decision component to generate a networking solution performance evaluation trigger event; The distributed networking performance evaluation component is used to evaluate the generated networking solution performance evaluation trigger event and obtain the sensor distributed networking performance evaluation result; Distributed networking digital twin simulation component, used to perform networking simulation based on the sensor distributed networking performance evaluation results; IoT virtual sensor simulation platform, including: The virtual sensor deployment decision component is used to receive all possible sets sent by the distributed networking solution decision component, determine the feasibility of the virtual sensor design, deployment location and network communication solution based on digital twin technology, make the optimal sensor distributed networking decision, and generate networking solution optimization decision instructions; Virtual sensor digital twin simulation component, used to optimize decision instructions according to the networking solution, simulate the corresponding virtual sensor and the environmental background of the sensor; The virtual sensor deployment display component is used to display the simulated virtual sensors and the twins of the environmental background where the sensors are located.

2. The distributed networking system of the intent-driven IoT sensor according to claim 1 is characterized in that: The virtual sensor digital twin simulation component simulates the virtual sensor from the aspects of sensor structure, material, sensing performance, and deployment location feasibility based on digital twin simulation technology, and displays it on the virtual sensor deployment display component.

3. The distributed networking system of the intent-driven IoT sensor according to claim 1 is characterized in that: The virtual sensor deployment decision component dynamically simulates and generates the optimal virtual sensor distributed networking solution.

4. A distributed networking method of an intent-driven Internet of Things sensor, based on the distributed networking system of an intent-driven Internet of Things sensor according to any one of claims 1 to 3, characterized in that: include: The IoT management component receives the user's intention information, generates a networking solution decision instruction corresponding to the intention information, and sends it to the distributed networking solution decision component; The distributed networking solution decision component performs intent-driven network status analysis based on the received networking solution decision instruction, forms all possible sets of virtual sensor deployment locations and network communication solutions based on the analysis results, and sends all possible sets to the virtual sensor deployment decision component; After receiving all possible sets, the virtual sensor deployment decision component calls the virtual sensor digital twin simulation component to perform simulation analysis on all possible sets, and sends the simulation analysis results to the virtual sensor deployment decision component; The virtual sensor deployment decision component makes the optimal sensor distributed networking decision according to the simulation analysis results, and sends the optimal sensor distributed networking decision to the distributed networking solution decision component in the form of a networking solution optimization decision instruction; After receiving the networking solution optimization decision instruction, the distributed networking solution decision component generates a networking solution performance evaluation trigger event, calls the distributed networking performance evaluation component, performs performance evaluation on the optimal sensor distributed networking decision based on the preset evaluation factors, generates a performance evaluation result, and sends it to the Internet of Things management component; The Internet of Things management component makes the optimal sensor distributed networking decision based on the performance evaluation results, and when it determines that the user's intention is met, it displays the final decision information of the sensor distributed networking corresponding to the optimal sensor distributed networking decision through the Internet of Things display component.

5. The distributed networking method of the intent-driven IoT sensor according to claim 4 is characterized in that: Whether the networking solution decision instruction of the Internet of Things management component is issued depends on whether the change between the current performance evaluation result and the previous evaluation result exceeds a preset judgment threshold. When the change in the evaluation result exceeds the preset judgment threshold, the decision instruction is sent to the networking solution decision component; Or it depends on whether new user intent information is received. When new user intent information is received, a networking solution decision instruction corresponding to the intent information is generated and sent to the distributed networking solution decision component; wherein, the priority of issuing the networking solution decision instruction when new user intent information is received is greater than the priority of issuing the networking solution decision instruction when the change in the evaluation result exceeds a preset judgment threshold.

6. The distributed networking method of the intent-driven IoT sensor according to claim 5 is characterized in that: The preset evaluation factors include: the number of aggregation node hops, the traffic carrying capacity of the aggregation node, the communication mode, the delay, and the packet loss rate.

7. The distributed networking method of the intent-driven IoT sensor according to claim 4 is characterized in that: The Internet of Things management component self-optimizes the judgment threshold of the change amount of the evaluation result based on the knowledge base self-learning module, learns the networking solution optimization instructions and absorbs them into the knowledge base.

8. The distributed networking method of the intent-driven IoT sensor according to claim 4 is characterized in that: The final decision information includes: sensor design, sensor deployment, sensor communication method, distributed networking network method and network topology.

9. A computer device, characterized in that: include: At least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor executes the distributed networking method of the intent-driven Internet of Things sensor as described in any one of claims 4-8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute any of the intent-driven distributed networking methods for Internet of Things sensors described in 4-8.

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