Artificial intelligence Internet of Things networking method and system suitable for wide area facilities

Abstract

The invention belongs to the technical field of Internet of Things, and discloses an artificial intelligence Internet of Things networking method and system suitable for wide area facilities, and the method comprises the steps: carrying out the directional access of a wireless network based on a signal transfer access point of a specific point location, the specific point locations comprise a fixed point location, a fixed closable point location and a flexible point location, and a wide-area Internet of Things of the starting node and the terminal node is established to form private network coverage, and the specific point locations comprise the fixed point location, the fixed closable point location and the flexible point location; selecting a terminal to execute real-time access and information interaction based on private network coverage, and adjusting a signal of a specific point location based on an actual demand; and establishing an intermittent dormancy and low-power consumption mechanism according to the energy-saving demand, and determining an energy consumption management strategy of the wide-area Internet of Things. According to the invention, Internet of Things coverage and flexible networking of a specific wide area can be realized to support artificial intelligence application.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and in particular to an artificial intelligence Internet of Things networking method and system applicable to wide-area facilities. Background Art

[0002] In today's society, with the rapid development and widespread application of Internet of Things technology, the demand for connection of smart devices and sensors is increasing. The Internet of Things not only plays an important role in urban management, traffic monitoring, environmental monitoring and other fields, but also shows great potential in agriculture, medical care, industry and other fields. Especially in the management and monitoring of wide-area facilities, how to achieve efficient and stable network connection has become a key issue. The networking mode of wide-area Internet of Things directly affects the reliability and real-time performance of data transmission, and thus affects the effect and efficiency of various smart applications. Therefore, how to build a scalable Internet of Things network architecture to meet the needs of different application scenarios has become a hot topic of research.

[0003] There are two main approaches to traditional wide-area IoT networking: one is optical fiber network plus base station facilities, where base stations are connected to the core network through optical fiber. This approach has obvious advantages in signal stability, anti-interference capability, and bandwidth; the other is traditional cellular network plus base station facilities. This approach has the advantage of strong versatility and can provide basic network connections for a wide area, becoming an important part of the global cellular network. However, these existing technologies still have some limitations in practical applications, especially in the face of the growing demand for IoT device connections, and cannot fully meet the requirements of flexibility and economy.

[0004] However, both fiber optic network plus base station facilities and traditional cellular network plus base station facilities have two major disadvantages. First, the network deployment costs of these networking methods are extremely high, especially in some remote or economically underdeveloped areas, where fiber optic network or cellular network coverage is often not economically effective, resulting in some areas being unable to enjoy the convenience brought by the Internet of Things; second, the deployment requirements of many wide-area Internet of Things applications are often concentrated in certain specific areas, and these areas may not have Internet access requirements for certain long periods of time, resulting in network idleness and resource waste, which significantly increases the network maintenance and operation costs.

[0005] Therefore, how to provide a flexible and low-cost IoT networking solution that can adapt to wide-area facilities has become an urgent problem to be solved. Summary of the invention

[0006] The embodiments of the present invention provide an artificial intelligence Internet of Things networking method and system suitable for wide-area facilities to solve the problem in the prior art that the network deployment cost is expensive, and many areas where there is a need for deployment of wide-area Internet of Things have no demand for networking for a long period of time, resulting in high maintenance and operation costs for the deployed network.

[0007] In order to have a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not a general review, nor is it intended to identify key / important components or to describe the scope of protection of these embodiments. Its only purpose is to present some concepts in a simple form as a prelude to the detailed description that follows.

[0008] According to a first aspect of an embodiment of the present invention, an artificial intelligence Internet of Things networking method applicable to wide-area facilities is provided.

[0009] In one embodiment, the artificial intelligence Internet of Things networking method applicable to wide area facilities includes: Based on the signal relay access points at specific locations, the wireless network is accessed directionally, and a wide-area Internet of Things with start and end nodes is established to form a private network coverage. Among them, specific locations include fixed locations, fixed and closable locations, and flexible locations. Based on private network coverage, terminals are selected to perform real-time access and information interaction, and signals at specific points are adjusted based on actual needs; According to energy-saving needs, establish intermittent sleep and low-power consumption mechanisms and determine the energy consumption management strategy of the wide-area Internet of Things.

[0010] In one embodiment, the starting node includes a node that directly accesses a core network, a wired Internet, and a conventional wireless network; The terminal node includes a node that accesses the network in a specific wireless link mode, and the terminal node has data access function and data transfer function; The specific wireless link mode is a directional wireless network access mode that supports fixed-point access and flexible-point access, and has a signal adjustment mechanism, a path finding mechanism, an intermittent sleep and a low power consumption mechanism.

[0011] In one embodiment, the directional wireless network access method uses a low-power design and a customized directional antenna technology to focus the signal in a specific direction; Fixed-point access includes setting up fixed access points at specific locations to connect to the network infrastructure within the wide-area IoT area; flexible-point access includes adding or adjusting access points at different time periods and under specific needs; The signal adjustment mechanism includes automatically adjusting the signal strength and direction according to environmental factors, and using big data and artificial intelligence algorithms to analyze the traffic conditions in different areas of the network, and intelligently predict and adjust the signal; The path finding mechanism includes using algorithms to optimize data transmission paths, selecting the best signal transmission route, and combining machine learning technology to gradually optimize the path selection strategy; The intermittent sleep and low-power mechanism includes the device entering a low-power sleep state when it is not active, waking up only when there is a need for data transmission, and using low-power wide area network technology to keep the device running at low energy consumption.

[0012] In one embodiment, based on a signal relay access point at a specific point, a wireless network is accessed directionally, and a wide area Internet of Things of a starting node and a terminal node is established to form a private network coverage including: Based on the directional wireless network access mode and residence mode, a signal relay access point network at a specific point is constructed. The directional wireless network allows terminal nodes at a specified location or a specified target to access the wide area Internet of Things, forming a private network coverage that meets specific needs. Based on the directional random access protocol, a directional wireless network is accessed using a specific point; According to the coverage requirements of the private IoT, build access control mechanisms, select dedicated communication protocols, manage access devices and monitor them; Based on private IoT coverage, real-time access and two-way information interaction of IoT terminals are realized.

[0013] In one embodiment, based on the private network coverage, selecting a terminal to perform real-time access and information interaction, and adjusting the signal at a specific point based on actual needs includes: Adjust the signal access and strength of fixed points based on actual needs; Based on actual needs, adjust the signal access and strength of fixed closable points; Adjust the signal access and strength of flexible points based on actual needs; Actual requirements include bandwidth requirements, latency requirements, user density, quality of service requirements, coverage, and environmental change factors; The rules for adjusting the signal at a specific point include dynamically adjusting the access point signal strength and carrier allocation based on real-time traffic and user demand, assigning priorities to different types of traffic and users, ensuring that the load of each access point is evenly distributed, and adjusting the transmission power based on the distance between the access point and the user terminal and the signal strength.

[0014] In one embodiment, based on actual needs, adjusting the signal access and strength of a fixed point includes: Collect network data, evaluate the current network environment, and use signal measurement tools to test signal strength at different locations, identify signal blind spots and weak signal areas, and collect user feedback; Adjust access rules for fixed points based on real-time traffic and user needs, and use carrier aggregation technology to combine different channels and dynamically allocate bandwidth; Based on the measurement results and user needs, the transmission power of the signal relay access points at fixed locations is adjusted, and the signal strength, number of user connections and data transmission rate are continuously tracked, and continuous optimization is performed based on feedback.

[0015] In one embodiment, based on actual needs, adjusting the signal access and strength of a fixed closable point includes: Collect network data, evaluate the current network environment, and use signal measurement tools to test signal strength at different locations, identify signal blind spots and weak signal areas, and collect user feedback; Adjust the access rules of fixed points that can be shut down according to real-time traffic and user needs. When the network in a certain area is shut down, adjust the corresponding beam coverage and enhance the beam in another area. Based on the measurement results and user needs, the transmission power of the signal relay access points at fixed points that can be turned off is adjusted, and the signal strength, number of user connections and data transmission rate are continuously tracked, and continuous optimization is performed based on feedback.

[0016] In one embodiment, based on actual needs, adjusting the signal access and strength of the flexible point includes: Based on the automatic addressing method, a flexible point path finding mechanism is established; Utilize flexible point path finding mechanism to automatically address and deploy the network; Dynamically adjust signal access and beam coverage based on real-time traffic and user needs. When there is no flexible node terminal in a certain area of ​​the network, adjust the corresponding beam coverage and enhance the beam in another area. Automatic addressing methods include uniform distribution addressing based on pre-information, path addressing based on memory mode, and point setting addressing based on measurement feedback mechanism.

[0017] In one embodiment, according to energy-saving requirements, an intermittent sleep and low-power consumption mechanism is established, and the energy consumption management strategy of the wide-area Internet of Things is determined to include: Determine energy-saving needs based on energy cost control factors, equipment life extension factors, environmental impact factors and no-load operation factors; Build a management mechanism for intermittent sleep and low-power modes based on system activity status analysis; Utilize renewable energy power supply technology to establish an energy management system for the wide-area Internet of Things.

[0018] According to a second aspect of an embodiment of the present invention, an artificial intelligence Internet of Things networking system suitable for wide-area facilities is provided.

[0019] In one embodiment, the artificial intelligence Internet of Things networking system applicable to wide area facilities includes: Point signal access module, used for signal transfer access points based on specific points, directionally accessing wireless networks, and establishing wide-area Internet of Things of start nodes and terminal nodes to form private network coverage, wherein the specific points include fixed points, fixed closable points and flexible points; The real-time access and signal adjustment module selects terminals to perform real-time access and information interaction based on private network coverage, and adjusts the signal at specific points based on actual needs; The networking energy consumption management module is used to establish intermittent sleep and low power consumption mechanisms according to energy-saving needs and determine the energy consumption management strategy of the wide area Internet of Things.

[0020] According to a third aspect of an embodiment of the present invention, a computer device is provided.

[0021] In one embodiment, a computer device includes a memory and a processor. The memory stores a computer program. When the processor executes the computer program, the steps in the above method embodiment are implemented.

[0022] According to a fourth aspect of embodiments of the present invention, a computer-readable storage medium is provided.

[0023] In one embodiment, a computer program is stored on a computer-readable storage medium, and when the computer program is executed by a processor, the steps in the above method embodiment are implemented.

[0024] The technical solution provided by the embodiment of the present invention may have the following beneficial effects: (1) The present invention proposes an artificial intelligence Internet of Things networking method suitable for wide-area facilities, which can achieve Internet of Things coverage and flexible networking in a specific wide-area area to support artificial intelligence applications; the present invention is based on a customized low-power directional wireless network, combined with fixed-point access and flexible-point access mechanisms, to form an efficient and flexible network construction solution; by adopting a customized directional wireless network access method and residence method, the present invention can effectively concentrate signals to cover a specific area and meet access requirements in different scenarios; in addition, the flexible point prediction and signal adjustment mechanism can dynamically adjust the signal strength and coverage range according to changes in actual application scenarios, ensuring that the network still maintains efficient and stable performance under the influence of factors such as user density, bandwidth requirements and environmental changes. At the same time, the flexible point path finding mechanism optimizes the data transmission path to ensure the efficiency and low latency of information transmission, further improving the overall work efficiency of the wide-area Internet of Things and meeting the various application requirements of wide-area facilities.

[0025] (2) The present invention effectively reduces the energy consumption of the device through intermittent sleep and low power consumption mechanisms, ensuring that the wide area Internet of Things can achieve sustainable development while operating efficiently; the present invention flexibly adjusts the working state of the device according to the device usage and environmental factors, so that the device can enter a low-power sleep mode when it is not active and wake up only when there is an actual need. This mechanism not only reduces energy costs, but also extends the service life of the device, reduces the maintenance and replacement frequency of the device, and meets the growing environmental protection needs of modern smart devices; at the same time, the use of renewable energy power supply technology provides a stable power supply support for the wide area Internet of Things, enabling it to operate efficiently in different environments. The implementation of this energy consumption management strategy enables the Internet of Things system of wide area facilities to not only have real-time response capabilities, but also achieve a good balance between economy and environment.

[0026] (3) The applicability and flexibility of the present invention make it have broad prospects in the application of artificial intelligence Internet of Things in wide-area facilities; by combining the signal relay access points at specific points, the real-time access and signal adjustment modules, and the networking energy consumption management module, the wide-area Internet of Things formed can adaptively meet the changes in different scenarios and needs; whether in urban infrastructure construction, intelligent transportation systems, or in environmental monitoring and smart homes, the present invention can provide efficient and reliable solutions; in the future, with the further development of artificial intelligence technology and Internet of Things technology, this networking method can provide more efficient support for more complex applications and promote the construction and development of smart cities and smart facilities.

[0027] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0029] Figure 1 It is a flowchart of an artificial intelligence Internet of Things networking method applicable to wide-area facilities according to an exemplary embodiment; Figure 2 It is a schematic diagram of a fixed node accessing a directional access wireless network in an artificial intelligence Internet of Things networking method applicable to wide-area facilities according to an exemplary embodiment; Figure 3 It is a schematic diagram of a directional access wireless network for a fixed node access that can be turned off in an artificial intelligence Internet of Things networking method applicable to wide-area facilities according to an exemplary embodiment; Figure 4It is a schematic diagram of a directional access wireless network for flexible node access in an artificial intelligence Internet of Things networking method applicable to wide-area facilities according to an exemplary embodiment; Figure 5 It is a structural block diagram of an artificial intelligence Internet of Things networking system applicable to wide-area facilities according to an exemplary embodiment; Figure 6 The figure is a schematic diagram showing the structure of a computer device according to an exemplary embodiment. DETAILED DESCRIPTION

[0030] The following description and the accompanying drawings fully illustrate the specific embodiments of this paper so that those skilled in the art can practice them. The parts and features of some embodiments may be included in or replace the parts and features of other embodiments. The scope of the embodiments herein includes the entire scope of the claims, and all available equivalents of the claims.

[0031] As used herein, the term "plurality" means two or more than two, unless otherwise specified.

[0032] In this document, the character " / " indicates that the preceding and following objects are in an "or" relationship. For example, A / B means: A or B.

[0033] In this article, the term "and / or" is a description of the association relationship between objects, indicating that three relationships may exist. For example, A and / or B means: A or B, or, A and B.

[0034] Each module in the device or system of the present application can be implemented in whole or in part by software, hardware, or a combination thereof. The above modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to the above modules.

[0035] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0036] In addition, it should be noted that the cellular network in this article, also known as the mobile network, is a mobile communication hardware architecture, which is divided into analog cellular networks and digital cellular networks. Because the signal coverage of each communication base station that constitutes the network coverage is hexagonal, the entire network is named like a honeycomb; common cellular network types include: GSM network (called pcs-1900 in some countries), CDMA network, 3G network, FDMA, TDMA, PDC, TACS, AMPS, 4G network, 5G network, etc.; the composition of the cellular network mainly consists of the following three parts: mobile station, base station subsystem, network subsystem. The mobile station is our network terminal equipment, such as mobile phones or some cellular industrial control equipment. The base station subsystem includes the mobile base stations (large iron towers) we see in daily life, wireless transceiver equipment, dedicated networks (usually optical fibers), countless digital devices, etc. We can regard the base station subsystem as a converter between wireless networks and wired networks.

[0037] In addition, it should be noted that the wireless local area network in this article refers to the use of wireless communication technology to interconnect computer devices to form a network system that can communicate with each other and realize resource sharing. The essential feature of the wireless local area network is that it no longer uses communication cables to connect computers to the network, but connects wirelessly, making the construction of the network and the movement of terminals more flexible. It is a very convenient data transmission system. It uses radio frequency (RF) technology and electromagnetic waves to replace the local area network composed of the old and cumbersome twisted pair copper wires (Coaxial) to communicate and connect in the air, so that the wireless local area network can use a simple access architecture to allow users to use it through it, and achieve the ideal state of "information is portable and convenient to travel around the world"; the wireless local area network is a very convenient data transmission system. It uses radio frequency (RF) technology and electromagnetic waves to replace the local area network composed of the old and cumbersome twisted pair copper wires (Coaxial) to communicate and connect in the air, so that the wireless local area network can use a simple access architecture to allow users to use it through it, and achieve the ideal state of "information is portable and convenient to travel around the world".

[0038] In addition, it should be noted that the sensors in this article are used to detect events or changes in the environment and send information to other electronic devices, usually computer processors, and are used in manufacturing and machinery, aircraft and aerospace, automobiles, medicine, robots and many aspects of daily life. The application of sensors has gone beyond the traditional field of temperature, pressure or flow measurement. For example, MARG sensors, more and more sensors are manufactured into micro sensors through micro-electromechanical system technology. The characteristics of sensors include miniaturization, digitization, intelligence, multi-function, systematization, and networking. It is the first link to achieve automatic detection and automatic control. The existence and development of sensors have given objects senses such as touch, taste and smell, making objects slowly come alive. Usually, according to their basic sensing functions, they are divided into more than a dozen categories such as thermal sensors, photosensitive elements, gas sensors, force sensors, magnetic sensors, humidity sensors, sound sensors, radiation sensors, color sensors and taste sensors.

[0039] Figure 1-Figure 4 An embodiment of an artificial intelligence Internet of Things networking method applicable to wide-area facilities of the present invention is shown.

[0040] In this optional embodiment, the artificial intelligence Internet of Things networking method applicable to wide area facilities includes: Step S101, based on the signal relay access point at a specific point, directionally access the wireless network, and establish a wide area Internet of Things of the starting node and the terminal node to form a private network coverage, wherein the specific point includes a fixed point, a fixed closable point, and a flexible point; Step S103, based on the private network coverage, select a terminal to perform real-time access and information interaction, and adjust the signal at a specific point based on actual needs; Step S105: According to energy-saving requirements, an intermittent sleep and low-power consumption mechanism is established to determine the energy consumption management strategy of the wide area Internet of Things.

[0041] Specifically, fixed-point access and flexible-point access and adjustment based on customized low-power directional wireless networks (directional wireless networks), including customized directional wireless network access methods and residence methods, flexible point prediction and signal adjustment mechanisms, flexible point path finding mechanisms, intermittent sleep and low power consumption mechanisms.

[0042] Specifically, customized directional wireless network access mode and residence mode refer to allowing specific terminals to access and reside only in specific areas based on a specific wide area network to achieve low-cost deployment of wireless networks and signal optimization. It is divided into starting nodes and terminal nodes. The starting nodes include node locations that directly access the core network, wired Internet, and conventional wireless networks. The terminal nodes include nodes that access the network in the wireless link mode described in the scheme. The terminal nodes have data access functions and data transfer functions. The directivity allows terminal nodes at specified locations or specified targets to access the wide area Internet of Things to form network coverage that meets specific needs. Typical scenarios are tea mountain Internet of Things areas, water source Internet of Things areas, processing plant Internet of Things areas, etc. Such areas present point-like or irregular network coverage requirements (in the above embodiment, tea mountain Internet of Things areas); the tea mountain area only needs to cover the block areas of the data center and the owner, and there is no coverage requirement for areas where tea trees are not planted.

[0043] Specifically, the flexible point prediction and signal adjustment mechanism refers to that the points involved in the present invention can be fixed points, fixed closable points, flexible points, etc. The fixed points are long-term power supply fixed devices, such as electric piles, fixed base stations, etc. The fixed closable points are flexibly powered fixed devices, such as flexibly powered electric piles, flexibly powered fixed base stations, etc. The flexible points are flexibly deployed and or flexibly powered devices, such as drones, aircraft, hot air balloons, airplanes, vehicles, ships, submarines and other automatic and semi-automatic mobile vehicles, and can also be equipment moved by human or animal power. When the terminal node is a fixed point, the wide area Internet of Things established can support the signal strength prediction and adjustment of the point; when the terminal node is a fixed closable point, the wide area Internet of Things established can support the switch prediction and signal strength adjustment of the point; when the terminal node is a flexible point, the wide area Internet of Things established can support the position prediction, switch prediction and signal strength adjustment of the point.

[0044] Specifically, the flexible point path finding mechanism refers to supporting the automatic addressing and network deployment of the terminal in the established wide area Internet of Things as a flexible point. There are three addressing methods. One is the uniform distribution based on the pre-information. The pre-information can be a series of coordinates composed of various shapes of dot diagrams. The specific information can be absolute position information such as GPS and Beidou, or relative position information relative to the starting node. One is the path based on the memory mode, that is, the flexible points are redeployed according to the last network information. One is the point setting method based on the measurement feedback mechanism, that is, when the terminal arrives at a certain point, it actively initiates signal measurement with the starting node to ensure that its signal strength is higher than a certain threshold. This deployment method should ensure the approximate regional setting of the flexible point. The optional target deployment site should have a signal test target, which sends periodic signals according to demand to ensure that the signal strength between the last terminal node and the target is higher than a certain threshold. Specifically, the intermittent sleep and low power consumption mechanism means that when there is no need for real-time security monitoring, the wide area Internet of Things can enter a sleep state periodically to reduce power consumption and ensure low energy consumption of the system; it can enter deep sleep during a long period of time when there is no demand, such as the autumn and winter in the tea mountains. The wide area network can be powered by solar energy, hydropower, wind energy, and nuclear energy.

[0045] In this optional embodiment, the starting node includes a node that directly accesses a core network, a wired Internet, and a conventional wireless network; The terminal node includes a node that accesses the network in a specific wireless link mode, and the terminal node has data access function and data transfer function; The specific wireless link mode is a directional wireless network access mode that supports fixed-point access and flexible-point access, and has a signal adjustment mechanism, a path finding mechanism, an intermittent sleep and a low power consumption mechanism.

[0046] Specifically, the detailed description of the specific wireless link method includes: ① Customized low-power directional wireless network access method, which has a) directional characteristics. This wireless link method uses customized directional antenna technology to concentrate the signal in a specific direction, thereby improving the signal strength and transmission efficiency; compared with omnidirectional antennas, directional antennas can reduce interference and signal loss, ensuring a more stable connection; b) low-power design. The design focus of this network is to reduce power consumption, so that devices can effectively save energy when conducting wireless communications. This is particularly important for IoT devices, as many devices are deployed in environments where it is difficult to access power. ② Fixed-point access and flexible-point access, including a) fixed-point access, setting up fixed access points at specific locations to ensure stable connections in the core areas of wide-area facilities. These access points can be connected to the main network infrastructure to provide continuous network services to surrounding devices. b) Flexible point access, allowing access points to be flexibly added or adjusted at different time periods or under specific needs. This flexibility enables the network to dynamically respond to environmental changes, such as automatically adding access points during specific activities or high-traffic periods to meet higher bandwidth requirements. ③ Signal adjustment mechanism, including a) flexible signal adjustment, the system has a built-in signal monitoring and adjustment mechanism, which can automatically adjust the signal strength and direction according to environmental factors (such as obstacles, user density, etc.). This adaptive capability ensures that the quality of wireless connections is always in the best state; b) real-time data analysis, using big data and artificial intelligence algorithms to analyze the traffic conditions in different areas of the network, intelligently predict and adjust the signal, reduce congestion, and improve resource allocation efficiency; ④ Path finding mechanism, including a) intelligent path selection, optimizing the data transmission path through algorithms, selecting the optimal signal transmission route, and reducing delays and packet loss rates. This mechanism ensures the efficient flow of data in the network and improves the response speed and reliability of the overall network; b) Dynamically adjust the path. When the network load changes or fails, the data transmission path can be quickly adjusted to ensure smooth communication; combined with machine learning technology, the system can gradually optimize the path selection strategy to improve the stability of long-term operation; ⑤ Intermittent sleep and low power consumption mechanism, including a) Intermittent sleep: The device can enter a low-power sleep state when it is not active, and only wake up when there is a need for data transmission, reducing energy consumption. This mechanism is very suitable for sensors and other battery-powered devices to extend their service life; b) Low-power communication protocol: Use low-power wide area network (LPWAN) technology or other suitable communication protocols to ensure that the device maintains low energy consumption during long-term operation without affecting the reliability of communication.

[0047] In this optional embodiment, the directional wireless network access method adopts a low-power design and uses customized directional antenna technology to focus the signal in a specific direction; Fixed-point access includes setting up fixed access points at specific locations to connect to the network infrastructure within the wide-area IoT area; flexible-point access includes adding or adjusting access points at different time periods and under specific needs; The signal adjustment mechanism includes automatically adjusting the signal strength and direction according to environmental factors, and using big data and artificial intelligence algorithms to analyze the traffic conditions in different areas of the network, and intelligently predict and adjust the signal; The path finding mechanism includes using algorithms to optimize data transmission paths, selecting the best signal transmission route, and combining machine learning technology to gradually optimize the path selection strategy; The intermittent sleep and low-power mechanism includes the device entering a low-power sleep state when it is not active, waking up only when there is a need for data transmission, and using low-power wide area network technology to keep the device running at low energy consumption.

[0048] Specifically, the directional wireless network access method adopts a directional random access protocol design, ① Access protocol selection, design a random access mechanism based on CSMA / CD (Carrier Sense Multiple Access / Collision Detection) or ALOHA protocol to handle the situation where multiple fixed nodes simultaneously initiate access requests to the base station; ② Channel allocation, allocate access channels to each fixed node to ensure that conflicts are reduced during the access process and improve the access success rate; ③ Sending and processing of access requests, a) Access request initiation, when the fixed node needs to send data, it sends an access request to the base station through a directional beam, which can be done through periodic broadcasting or event triggering; b) Base station response, the base station confirms and responds to the fixed node based on the received access request, and informs it of the access timing and channel information; ④ Data transmission and beam management, a) Data transmission, once access is successful, the fixed node transmits data to the base station through the established directional beam, ensuring that the beam remains aligned with the base station during data transmission; b) Dynamic beam adjustment, during data transmission, monitor the signal quality and adjust the beam direction in real time as needed to cope with environmental changes or moving obstacles.

[0049] In this optional embodiment, based on the signal relay access point at a specific point, the wireless network is accessed directionally, and a wide area Internet of Things of the starting node and the terminal node is established to form a private network coverage including: Step S1011, based on the directional wireless network access mode and residence mode, a signal relay access point network at a specific point is constructed, wherein the directional wireless network allows terminal nodes at a specified location or a specified target to access the wide area Internet of Things, forming a private network coverage that meets specific needs; Step S1013, accessing a directional wireless network using a specific point based on a directional random access protocol; Step S1015, building an access control mechanism according to the coverage requirements of the private Internet of Things, selecting a dedicated communication protocol, managing access devices and monitoring; Step S1017, based on the private Internet of Things coverage, realize the real-time access and two-way information interaction of the Internet of Things terminals.

[0050] Specifically, taking the wide-area Internet of Things networking based on the fixed point in the present invention as an example, it includes customized directional wireless network access mode and residence mode, fixed point signal adjustment mechanism, intermittent sleep and low power consumption mechanism, and the fixed point is a long-term power supply fixed device, such as an electric pile, a fixed base station, etc. The detailed workflow is as follows: First, all signal transfer access points are fixed, such as signal piles and signal towers. It is divided into starting nodes and terminal nodes. The starting node includes the node position that directly accesses the core network, the wired Internet, and the conventional wireless network. The terminal node includes the node that accesses the network in the wireless link mode described in the scheme, and the terminal node has data access function and data transfer function. The directivity allows the terminal node of the specified location or the specified target to access the wide-area Internet of Things to form a network coverage that meets specific needs. Typical scenarios are tea mountain Internet of Things area, water source Internet of Things area, processing plant Internet of Things area, etc. Such areas present point-like or irregular network coverage requirements. For example, the tea mountain area only needs to cover the block area of ​​the data center and the owner, and there is no coverage requirement for areas where tea trees are not planted. The fixed form of the transfer node is fixed in its relative geographical location and can use stable power supply and data access; second, the fixed node accesses the directional access wireless network, such as Figure 2 As shown, its networking mode is as follows. Different from the conventional cellular network layout, the network area formed by the wide-area Internet of Things proposed in the present invention is a variety of network areas combined with needs. In this embodiment, the area (tea mountain in this embodiment) only needs to cover the block area of ​​the data center and the owner. There is no coverage demand for areas without demand (tea tree planting). Therefore, the Internet of Things network oriented to demand (tea mountain in this embodiment) is point-wise networked around its demand (tea crop in this embodiment) coverage area to achieve network coverage from the starting node to the terminal node; it is worth mentioning that this network can only support terminal access with specific needs or permissions to form private Internet of Things coverage; third, based on the constructed network, the Internet of Things terminals under its coverage realize real-time access and information interaction, and the interacted information includes data collected and calculated by each terminal node, and the interactive data is two-way interaction.

[0051] Specifically, taking the wide-area Internet of Things networking based on the fixed closable points in the present invention as an example, it includes customized directional wireless network access mode and residence mode, fixed point signal adjustment mechanism, intermittent sleep and low power consumption mechanism. Fixed closable points are fixed devices that can be flexibly powered on, such as flexible power supply piles, flexible power supply fixed base stations, etc. The detailed workflow is as follows: First, all signal transfer access points are fixed and closable, such as flexible power supply signal piles and flexible power supply signal towers. The system is divided into starting nodes and terminal nodes. The starting nodes include node locations that directly access the core network, wired Internet, and conventional wireless networks. The terminal nodes include nodes that are connected to the network in the wireless link mode described in the scheme. The terminal nodes have data access functions and data transfer functions. The directivity allows terminal nodes at specified locations or specified targets to access the wide-area Internet of Things to form network coverage that meets specific needs. Typical scenarios are tea mountain Internet of Things areas, water source Internet of Things areas, processing plant Internet of Things areas, etc. Such areas present point-like or irregular network coverage requirements. For example, the tea mountain area only needs to cover the block area of ​​the data center and the owner, and there is no coverage requirement for areas where no tea trees are planted. The fixed form of the transit node is fixed in relative geographical location and can adopt stable power supply and data access; secondly, the fixed switchable node accesses the directional access wireless network, and its power supply status networking mode is as follows. Different from the conventional cellular network layout, the network layout area formed by the wide-area Internet of Things proposed in the present invention is a variety of network layout areas combined with needs. The demand area (tea mountain in this embodiment) only needs to cover the block area of ​​the data center and the owner, and there is no coverage requirement for areas without demand (tea tree planting in this embodiment). Therefore, the Internet of Things network oriented to demand (tea mountain in this embodiment) is point-to-point networked around its tea crop coverage area to achieve network coverage from the starting node to the terminal node; it is worth mentioning that this network can only support terminal access with specific needs or permissions to form private Internet of Things coverage; for the network composed of switchable fixed nodes, the present invention can realize polling access, such as Figure 3 As shown, link 1 and link 2 can be connected separately to achieve maximum network flexibility; third, based on the constructed network, the IoT terminals under its coverage realize real-time access and information interaction. The interacted information includes data collected and calculated by each terminal node. The interactive data is bidirectional. When switching between links 1 and 2, the terminal data under link 1 and link 2 are maintained separately.

[0052] Specifically, taking the wide-area Internet of Things networking based on the flexible points in the present invention as an example, it includes customized directional wireless network access mode and residence mode, flexible point prediction and signal adjustment mechanism, flexible point path finding mechanism, intermittent sleep and low power consumption machine; flexible points are devices with flexible deployment and / or flexible power supply, such as automatic and semi-automatic mobile vehicles such as drones, aircraft, hot air balloons, airplanes, vehicles, ships, submarines, etc., and can also be equipment moved by human or animal power, etc. The detailed workflow is as follows: First, all signal relay access points are in a closable fixed form, such as flexibly powered signal posts and flexibly powered signal towers; the system is divided into starting nodes and terminal nodes, and the starting nodes include node locations that directly access the core network, wired Internet, and conventional wireless networks, The terminal node includes a node that is connected to the network in a wireless link manner as described in the scheme, and the terminal node has a data access function and a data transfer function; the directionality allows the terminal node of a specified location or a specified target to access the wide area Internet of Things to form a network coverage that meets specific needs. Typical scenarios are the tea mountain Internet of Things area, the water source Internet of Things area, the processing plant Internet of Things area, etc. Such areas present point-like or irregular network coverage requirements. In the above embodiment, the tea mountain area only needs to cover the block area of ​​the data center and the owner, and there is no coverage requirement for areas where no tea trees are planted. The fixed form of the transfer node is fixed in relative geographical location and can adopt stable power supply and data access; second, the flexible node access directionality access wireless network, such as Figure 4 As shown, its networking mode is as follows. Different from the conventional cellular network layout, the network area formed by the wide-area Internet of Things proposed in the present invention is a variety of network areas combined with needs. In this embodiment, the tea mountain area only needs to cover the block area of ​​the data center and the owner, and there is no coverage requirement for the area where no tea trees are planted. Therefore, the Internet of Things network for the tea mountain is point-wise networked around its tea crop coverage area to achieve network coverage from the starting node to the terminal node. At the same time, this network can only support terminal access with specific needs or permissions to form a private Internet of Things coverage; third, based on the constructed network, the Internet of Things terminals under its coverage realize real-time access and information interaction. The interacted information includes data collected and calculated by each terminal node, and the interactive data is two-way interaction.

[0053] In this optional embodiment, based on the private network coverage, selecting a terminal to perform real-time access and information interaction, and adjusting the signal at a specific point based on actual needs includes: Adjust the signal access and strength of fixed points based on actual needs; Based on actual needs, adjust the signal access and strength of fixed closable points; Adjust the signal access and strength of flexible points based on actual needs; Specifically, the privatized network in the present invention refers to an Internet of Things network built within a specific organization or enterprise, which can only be accessed by authorized terminal devices, and is used to improve security, data control and flexibility of network management, including: ① The goal of the privatized Internet of Things is to ensure the security, reliability and performance of the network by limiting the devices that can access it, and at the same time, the use of network resources can be optimized according to the specific needs of the organization ② Access control mechanism, including a) identity authentication, using a strong identity authentication mechanism to ensure that only authorized devices can access the network. This can be achieved through the device's MAC address, digital certificate or security token; b) Access control list (ACL), create an access control list to clearly list which devices or users have access to network resources and which are denied. Administrators can update these lists at any time as needed; c) Network segmentation, by dividing the network into multiple segments, further restricting the access of specific terminals. For example, critical devices can be separated from ordinary devices to ensure the security of sensitive data; ③ Dedicated communication protocols, including a) Protocol selection: Select communication protocols suitable for private networks, such as MQTT, CoAP, etc. These protocols can provide low-latency, high-efficiency communication and meet the needs of IoT devices; b) Encrypted transmission: Use encryption technology (such as TLS / SSL) during data transmission to ensure that data is not eavesdropped or tampered with during transmission; ④ Device management and monitoring, including a) Device registration and management, establish a centralized management system responsible for device registration, management and monitoring. All access devices must be registered and configured first, and can only be connected to the network after review; b) Real-time monitoring and auditing, implement a real-time monitoring mechanism, continuously track the status, traffic and activities of access devices, and regularly audit network activities to ensure that there is no unauthorized access or abnormal behavior.

[0054] Actual requirements include bandwidth requirements, latency requirements, user density, quality of service requirements, coverage, and environmental change factors; Specifically, when adjusting the signal access and strength of fixed points, the actual needs include the following aspects: ① Bandwidth requirements. Different applications have different requirements for data transmission rates. For example, video streaming requires higher bandwidth, while sensor data transmission has lower requirements; ② Delay requirements. Real-time applications (such as video conferencing and online games) have strict delay requirements, while some non-real-time applications (such as data backup) can tolerate higher delays; ③ User density. In high-density user scenarios, it may be necessary to increase signal strength and access points to handle more concurrent connections; ④ Quality of service (QoS) requirements. Different types of traffic may require different service quality guarantees, such as giving priority to emergency data packets; ⑤ Coverage. Ensure signal coverage in specific areas, especially in large buildings or complex environments; ⑥ Environmental changes. Considering the impact of environmental changes (such as weather, building changes, etc.) on signal propagation, adjust the signal strength and access method.

[0055] The rules for adjusting the signal at a specific point include dynamically adjusting the access point signal strength and carrier allocation based on real-time traffic and user demand, assigning priorities to different types of traffic and users, ensuring that the load of each access point is evenly distributed, and adjusting the transmission power based on the distance between the access point and the user terminal and the signal strength.

[0056] Specifically, according to actual needs, the adjustment of signal access and strength follows the following rules: ① Dynamic adaptation, dynamically adjust the access point signal strength and carrier allocation according to real-time traffic and user needs; ② Priority allocation, assign priorities to different types of traffic and users to ensure that key applications obtain the required bandwidth and low latency; ③ Load balancing, ensure that the load of each access point is evenly distributed to avoid overloading of a certain access point and causing a decrease in service quality; ④ Signal strength adjustment, adjust the transmission power according to the distance between the access point and the user terminal and the signal strength to ensure high-quality connection.

[0057] In this optional embodiment, based on actual needs, adjusting the signal access and strength of a fixed point includes: Collect network data, evaluate the current network environment, and use signal measurement tools to test signal strength at different locations, identify signal blind spots and weak signal areas, and collect user feedback; Adjust access rules for fixed points based on real-time traffic and user needs, and use carrier aggregation technology to combine different channels and dynamically allocate bandwidth; Based on the measurement results and user needs, the transmission power of the signal relay access points at fixed locations is adjusted, and the signal strength, number of user connections and data transmission rate are continuously tracked, and continuous optimization is performed based on feedback.

[0058] Specifically, based on actual needs, the signal access and strength adjustment of fixed points are adjusted. In this embodiment, since the access terminal nodes are fixed points, directional beams can be used to limit and enhance network coverage in a certain area to achieve flexibility and performance of network layout.

[0059] Specifically, based on the principle of carrier aggregation, the signal access and strength of fixed points are adjusted. The specific steps are as follows: Step 1, demand analysis, including a) data collection, collecting user bandwidth requirements, delays, connection stability and other data through the network monitoring system; b) environment assessment, assessing the current network environment, including user distribution, application type and signal strength, etc., to identify existing problems; Step 2, signal strength measurement, including a) signal strength test, using signal measurement tools (such as spectrum analyzers) at different locations to perform signal strength tests to identify signal blind spots and weak signal areas; b) user feedback, collecting user feedback, understanding their experience and needs, to assist in the adjustment of signal strength and access methods; Step 3, adjusting signal access and strength, including a) dynamic access adjustment, adjusting the access rules of fixed points according to real-time traffic and user needs. For example, increase the number of access points in high-traffic time periods, or reduce the working status of access points during low traffic; b) carrier aggregation configuration, through carrier aggregation technology, combine multiple channels, dynamically allocate bandwidth, meet applications with high bandwidth requirements, and provide sufficient bandwidth for different users; c) signal strength adjustment, based on measurement results and user needs, adjust the transmission power of access points. Increase the transmission power in areas with weak signal strength, and reduce the transmission power in areas with weak signal strength to reduce interference; Step 4, monitoring and feedback, including a) real-time monitoring system, deploy a real-time monitoring system to continuously track signal strength, number of user connections and data transmission rate; b) feedback mechanism, establish a feedback mechanism, regularly collect user experience and network performance data, and continuously optimize based on feedback.

[0060] In this optional embodiment, based on actual needs, adjusting the signal access and strength of the fixed closable points includes: Collect network data, evaluate the current network environment, and use signal measurement tools to test signal strength at different locations, identify signal blind spots and weak signal areas, and collect user feedback; Adjust the access rules of fixed points that can be shut down according to real-time traffic and user needs. When the network in a certain area is shut down, adjust the corresponding beam coverage and enhance the beam in another area. Based on the measurement results and user needs, the transmission power of the signal relay access points at fixed points that can be turned off is adjusted, and the signal strength, number of user connections and data transmission rate are continuously tracked, and continuous optimization is performed based on feedback.

[0061] Specifically, based on actual needs, the signal access and strength adjustment of the fixed point that can be closed are adjusted. In the present embodiment, since the access terminal node is a fixed point that can be closed, a directional beam can be used to limit and enhance the network coverage of a certain area to achieve the flexibility and performance of the network layout; when the network in a certain area is closed, the beam coverage corresponding to the area is adjusted, and the beam of another area is enhanced to enhance the network performance.

[0062] In this optional embodiment, based on actual needs, adjusting the signal access and strength of the flexible point includes: Based on the automatic addressing method, a flexible point path finding mechanism is established; Utilize flexible point path finding mechanism to automatically address and deploy the network; Dynamically adjust signal access and beam coverage based on real-time traffic and user needs. When there is no flexible node terminal in a certain area of ​​the network, adjust the corresponding beam coverage and enhance the beam in another area. Automatic addressing methods include uniform distribution addressing based on pre-information, path addressing based on memory mode, and point setting addressing based on measurement feedback mechanism.

[0063] Specifically, based on actual needs, when the terminal node is a flexible point, the established wide area Internet of Things can support the location prediction, switch prediction and signal strength adjustment of the point. In this embodiment, since the access terminal node is a flexible point, a directional beam can be used to limit and enhance the network coverage of a certain area to achieve the flexibility and performance of the network layout; during the location deployment process, the present invention has a flexible point path finding mechanism, which means that when the terminal in the established wide area Internet of Things is a flexible point, the present invention supports its automatic addressing and deployment network. There are three addressing methods, one is based on the uniform distribution of pre-information, and the pre-information can be a series of coordinates composed of various shapes of dot diagrams. The specific information can be absolute position information such as GPS and Beidou, or it can be relative position information relative to the starting node; one is based on recording The first is the path of the memory mode, that is, the flexible points are redeployed according to the last network information; the second is the point setting method based on the measurement feedback mechanism, that is, when the terminal arrives at a certain point, it actively initiates signal measurement with the starting node to ensure that its signal strength is higher than a certain threshold. This deployment method should ensure the approximate regional setting of flexible points. The optional target deployment site should have a signal test target, which sends periodic signals according to demand to ensure that the signal strength between the last terminal node and the target is higher than a certain threshold; when there is no flexible node terminal in a certain area of ​​the network, the beam coverage corresponding to its area is adjusted, and the beam of another area is enhanced to enhance network performance.

[0064] In this optional embodiment, according to energy-saving requirements, an intermittent sleep and low-power consumption mechanism is established, and the energy consumption management strategy of the wide area Internet of Things is determined to include: Step S1051, determining energy saving requirements based on energy cost control factors, equipment life extension factors, environmental impact factors, and no-load operation factors; Step S1053: Building a management mechanism for intermittent sleep and low power consumption modes based on system activity status analysis; Step S1055: Use renewable energy power supply technology to establish an energy management system for the wide area Internet of Things.

[0065] Specifically, based on energy-saving requirements, intermittent sleep or low-power consumption mode can be entered. The wide-area Internet of Things established by the present invention can enter a sleep state periodically to reduce power consumption and ensure low energy consumption of the system when there is no real-time security monitoring requirement. Even in a long span of time without demand, it can enter deep sleep, such as in the autumn and winter of tea mountains. The wide area network can be powered by solar energy, hydropower, wind energy, and nuclear energy.

[0066] Specifically, in an Internet of Things (IoT) environment based on energy-saving requirements, intermittent sleep or entering a low-power mode is an important strategy for achieving energy efficiency optimization. The following will elaborate on the specific content of the energy-saving requirements in the present invention, the basis for judging sleep or low power consumption, the meaning of the real-time security monitoring requirements, and the definition of a long span of time without requirements.

[0067] Specifically, energy-saving needs include the following aspects: a) Energy cost control, reducing the energy consumption of equipment to reduce electricity costs, especially in large-scale deployed IoT devices, energy saving can significantly reduce operating costs; b) Extending device life, by reducing power consumption, reducing equipment wear and heat, thereby extending battery life and the overall service life of the device; c) Environmental impact, reducing energy consumption helps reduce carbon emissions, supports sustainable development goals, and complies with environmental regulations and corporate social responsibility; d) No-load operation, when the device is in a low activity state, it can maintain basic functions with lower energy consumption so that it can respond to external events or user requests at any time.

[0068] Specifically, the judgment of whether the device should enter sleep or low power mode is based on the following: a) Activity monitoring, monitoring the activity status of the device through sensors. If no activity or data transmission is detected within a certain period of time, it can be judged as low usage demand, and the device can enter low power state at this time; b) User scheduling, based on the user's usage pattern and schedule, it is judged that the demand for the device is low during certain time periods, and it can be arranged to enter sleep or low power mode, for example, at night or outside working hours; c) System load, monitoring the system load of the device, such as CPU and memory usage. If the load is continuously below a certain threshold, you can consider switching to low power mode; d) Communication status, in network-based devices, monitor network usage, such as the frequency of data upload and reception. If there is no data transmission for a long time, it can enter a low power state.

[0069] Specifically, the real-time security monitoring demand refers to the need to continuously monitor and respond to potential security threats and abnormal behaviors in order to ensure the safe operation of devices and networks in the IoT environment, including a) intrusion detection, real-time monitoring of devices and network traffic to detect unauthorized access or abnormal activities to ensure network security; b) device status monitoring, continuous tracking of device health status and performance indicators, identification of faults or potential problems, and timely action; c) data integrity verification, monitoring the integrity of data transmission to ensure that data has not been tampered with or lost; d) incident response mechanism, when a security incident or abnormal behavior is detected, an alarm is immediately triggered or emergency measures are taken to protect system and data security.

[0070] Specifically, the long span of time without demand refers to the duration of time during which the device has no user interaction, data transmission or other activities within a specific time period. The specific length of time may vary according to different application scenarios. The reference standards used in this embodiment are as follows: ① Short time (several minutes to one hour), suitable for applications that require high real-time performance, such as smart home devices, monitoring equipment, etc. Such devices may enter low-power mode after a short period of inactivity, but still need to maintain a certain monitoring capability; ② Medium time (several hours to one day), suitable for devices with regular activities, such as environmental monitoring sensors. If there is no activity for a long time, you can enter deep sleep mode; ③ Long time (multiple days or longer), for devices that are occasionally used, such as remote monitoring sensors, if there is no activity for a few days, you can choose to completely shut down or enter ultra-low power mode to save energy.

[0071] Figure 5 An embodiment of an artificial intelligence Internet of Things networking system applicable to wide-area facilities of the present invention is shown.

[0072] In this optional embodiment, the artificial intelligence Internet of Things networking system applicable to wide area facilities includes: The point signal access module 201 is used to directionally access the wireless network based on the signal relay access point at a specific point, and establish a wide area Internet of Things of the starting node and the terminal node to form a private network coverage, wherein the specific point includes a fixed point, a fixed closable point and a flexible point; The real-time access and signal adjustment module 203 selects terminals to perform real-time access and information interaction based on private network coverage, and adjusts the signal at a specific point based on actual needs; The network energy consumption management module 205 is used to establish intermittent sleep and low power consumption mechanisms according to energy-saving requirements and determine the energy consumption management strategy of the wide area Internet of Things.

[0073] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 6As shown. The computer device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store static information and dynamic information data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the steps in the above method embodiment are implemented.

[0074] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation on the computer device to which the solution of the present invention is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0075] In addition, the present invention also provides a computer device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiment when executing the computer program.

[0076] In addition, the present invention further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the above method embodiment are implemented.

[0077] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided by the present invention can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0078] The present invention is not limited to the structures which have been described above and shown in the drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. An artificial intelligence Internet of Things networking method applicable to wide-area facilities, characterized in that: The AI ​​IoT networking method for wide-area facilities includes: Based on the signal relay access point at a specific point, the wireless network is accessed directionally, and a wide area Internet of Things of the starting node and the terminal node is established to form a private network coverage, wherein the specific point includes a fixed point, a fixed closable point, and a flexible point; Based on private network coverage, terminals are selected to perform real-time access and information interaction, and signals at specific points are adjusted based on actual needs; According to energy-saving needs, establish intermittent sleep and low-power consumption mechanisms and determine the energy consumption management strategy of the wide-area Internet of Things.

2. The artificial intelligence Internet of Things networking method applicable to wide-area facilities according to claim 1, characterized in that: The starting node includes a node directly connected to the core network, the wired Internet, and a conventional wireless network; The terminal node includes a node that accesses the network in a specific wireless link manner, and the terminal node has a data access function and a data transfer function; The specific wireless link mode is a directional wireless network access mode, which supports fixed point access and flexible point access, and has a signal adjustment mechanism, a path finding mechanism, an intermittent sleep and a low power consumption mechanism.

3. The artificial intelligence Internet of Things networking method applicable to wide-area facilities according to claim 2, characterized in that: The directional wireless network access method adopts a low-power design and a customized directional antenna technology to focus the signal in a specific direction; The fixed point access includes setting up a fixed access point at a specific location for connecting to the network infrastructure within the wide area Internet of Things area; the flexible point access includes adding or adjusting access points under different time periods and specific needs; The signal adjustment mechanism includes automatically adjusting the signal strength and direction according to environmental factors, and using big data and artificial intelligence algorithms to analyze the traffic conditions in different areas of the network, and intelligently predict and adjust the signal; The path finding mechanism includes optimizing the data transmission path using an algorithm, selecting the best signal transmission route, and combining machine learning technology to gradually optimize the path selection strategy; The intermittent sleep and low power consumption mechanism includes the device entering a low power sleep state when it is not active, waking up only when there is a need for data transmission, and using low power wide area network technology to keep the device running at low energy consumption.

4. The artificial intelligence Internet of Things networking method applicable to wide-area facilities according to claim 1, characterized in that: The signal relay access point based on a specific point, directionally accesses the wireless network, and establishes a wide area Internet of Things of the starting node and the terminal node, forming a private network coverage including: Based on the directional wireless network access mode and residence mode, a signal relay access point network at a specific point is constructed, wherein the directional wireless network allows terminal nodes at a specified location or a specified target to access the wide area Internet of Things, forming a private network coverage that meets specific needs; Based on the directional random access protocol, a directional wireless network is accessed using a specific point; According to the coverage requirements of the private IoT, build access control mechanisms, select dedicated communication protocols, manage access devices and monitor them; Based on private IoT coverage, real-time access and two-way information interaction of IoT terminals are realized.

5. The artificial intelligence Internet of Things networking method applicable to wide-area facilities according to claim 1, characterized in that: The method of selecting a terminal to perform real-time access and information interaction based on private network coverage and adjusting a signal at a specific point based on actual needs includes: Adjust the signal access and strength of fixed points based on actual needs; Based on actual needs, adjust the signal access and strength of fixed closable points; Adjust the signal access and strength of flexible points based on actual needs; The actual requirements include bandwidth requirements, delay requirements, user density, service quality requirements, coverage and environmental change factors; The rules for adjusting the signal at a specific point include dynamically adjusting the access point signal strength and carrier allocation according to real-time traffic and user needs, assigning priorities to different types of traffic and users, ensuring that the load of each access point is evenly distributed, and adjusting the transmission power according to the distance between the access point and the user terminal and the signal strength.

6. The artificial intelligence Internet of Things networking method applicable to wide-area facilities according to claim 5, characterized in that: The signal access and strength of fixed points can be adjusted based on actual needs, including: Collect network data, evaluate the current network environment, and use signal measurement tools to test signal strength at different locations, identify signal blind spots and weak signal areas, and collect user feedback; Adjust access rules for fixed points based on real-time traffic and user needs, and use carrier aggregation technology to combine different channels and dynamically allocate bandwidth; Based on the measurement results and user needs, the transmission power of the signal relay access points at fixed locations is adjusted, and the signal strength, number of user connections and data transmission rate are continuously tracked, and continuous optimization is performed based on feedback.

7. The artificial intelligence Internet of Things networking method applicable to wide-area facilities according to claim 5, characterized in that: The signal access and strength of fixed closable points are adjusted based on actual needs, including: Collect network data, evaluate the current network environment, and use signal measurement tools to test signal strength at different locations, identify signal blind spots and weak signal areas, and collect user feedback; Adjust the access rules of fixed points that can be shut down according to real-time traffic and user needs. When the network in a certain area is shut down, adjust the corresponding beam coverage and enhance the beam in another area. Based on the measurement results and user needs, the transmission power of the signal relay access points at fixed points that can be turned off is adjusted, and the signal strength, number of user connections and data transmission rate are continuously tracked, and continuous optimization is performed based on feedback.

8. The artificial intelligence Internet of Things networking method applicable to wide-area facilities according to claim 5, characterized in that: The signal access and strength of the flexible points can be adjusted based on actual needs, including: Based on the automatic addressing method, a flexible point path finding mechanism is established; Utilize flexible point path finding mechanism to automatically address and deploy the network; Dynamically adjust signal access and beam coverage based on real-time traffic and user needs. When there is no flexible node terminal in a certain area of ​​the network, adjust the corresponding beam coverage and enhance the beam in another area. The automatic addressing method includes uniform distribution addressing based on pre-information, path addressing based on memory mode, and point setting addressing based on measurement feedback mechanism.

9. The artificial intelligence Internet of Things networking method applicable to wide-area facilities according to claim 1, characterized in that: According to the energy-saving requirements, the intermittent sleep and low-power consumption mechanisms are established, and the energy consumption management strategies of the wide-area Internet of Things are determined, including: Determine energy-saving needs based on energy cost control factors, equipment life extension factors, environmental impact factors and no-load operation factors; Build a management mechanism for intermittent sleep and low-power modes based on system activity status analysis; Utilize renewable energy power supply technology to establish an energy management system for the wide-area Internet of Things.

10. An artificial intelligence Internet of Things networking system suitable for wide-area facilities, characterized in that: The artificial intelligence Internet of Things networking system applicable to wide-area facilities includes: Point signal access module, used for signal transfer access points based on specific points, directionally accessing wireless networks, and establishing wide-area Internet of Things of start nodes and terminal nodes to form private network coverage, wherein the specific points include fixed points, fixed closable points and flexible points; The real-time access and signal adjustment module selects terminals to perform real-time access and information interaction based on private network coverage, and adjusts the signal at specific points based on actual needs; The networking energy consumption management module is used to establish intermittent sleep and low power consumption mechanisms according to energy-saving needs and determine the energy consumption management strategy of the wide area Internet of Things.

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