A networking method for an intelligent switch and an intelligent switch

Abstract

The present invention relates to the technical field of intelligent devices, and specifically provides a networking method and an intelligent switch for an intelligent switch, including: when the first intelligent switch senses human body information, the first intelligent switch generates an access request and performs networking broadcast with the first intelligent switch as the master node; receiving a first response signal from a second network device, establishing a connection with the corresponding network device, and generating a first network as an ordinary node; receiving a second response signal from a third network device through the first network, and connecting to the third network device through the first network to perform networking. In the process of networking the intelligent switch according to the present invention, different types of intelligent switches can also be networked. The intelligent switch can utilize human body information, enabling the intelligent switch to initiate a connection actively, simplifying the networking process and improving the networking efficiency. Since all intelligent switches operate in the same network system, energy can be saved and network resource sharing can be achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of smart home appliances, and particularly to a networking method and a smart switch for a smart switch. Background Art

[0002] Currently, with the development of smart home appliance technology, the number of smart home appliance devices is increasing. How to enable smart home appliance devices to complete networking so that users can use and control smart home appliance devices more efficiently in actual scenarios has become a current research hotspot.

[0003] Currently, there are many and complex networking methods for existing smart home appliances. Most networking methods usually consist of multiple smart switches connected to the Internet through a gateway, and a networking mode in which multiple smart switches are connected to and control smart home appliance devices.

[0004] In the process of implementing the embodiments of the present disclosure, it is found that there are at least the following problems in the related art:

[0005] When an existing smart switch connects to a network device that can be networked or a similar smart switch, it is not easy to network because the devices are different. Summary of the Invention

[0006] The present invention provides a networking method and a smart switch for a smart switch to solve the situation that when an existing smart switch connects to a network device that can be networked or a similar smart switch, it is not easy to network because the devices are different.

[0007] The present invention proposes a networking method for a smart switch, including:

[0008] When a first smart switch senses human body information, the first smart switch generates an access request and performs networking broadcast with the first smart switch as the master node; wherein,

[0009] The networking broadcast includes the switch identifier and network channel of the first smart switch;

[0010] Receiving a first response signal from a second network device, establishing a connection with the corresponding network device, and generating a first network as an ordinary node; wherein,

[0011] The second network device includes a networked device or a second smart switch;

[0012] Receiving a second response signal from a third network device through the first network, and connecting to the third network device through the first network for networking.

[0013] Further, the human body information is determined by a human body sensing module in the first smart switch through human body detection at a preset sensitivity; wherein,

[0014] The human body sensing module includes a posture sensing unit, a temperature sensing unit, and a sound sensing unit; among them,

[0015] The posture sensing unit is used to capture the user's posture, perform dynamic calibration, and generate the first human body modeling information;

[0016] The temperature sensing unit is used to sense the human body temperature and generate the second human body modeling information;

[0017] The sound sensing unit is used to sense the user's voice and generate the third human body modeling information;

[0018] When any two pieces of human body modeling information are determined to indicate the presence of a person, the first intelligent switch starts networking.

[0019] Furthermore, the network access request is authenticated by the indoor routing device; among them,

[0020] During the network access authentication process of the intelligent switch, a waiting time for authentication is set, and a notification message for authentication authorization is obtained within the waiting time; among them,

[0021] When no authentication information is obtained within the waiting time, the authentication fails, and the indoor routing device is marked as incorrect;

[0022] When authentication information is obtained within the waiting time, it is judged whether the authentication is successful; among them,

[0023] When the authentication fails, the legitimacy of the indoor router is verified;

[0024] When the authentication is successful, the corresponding router is connected and used as a WIFI direct connection path.

[0025] Furthermore, after the networking is completed, when a second intelligent switch senses human body information, the second intelligent switch is used as the master node, and the first intelligent switch is converted into a common node.

[0026] Furthermore, after the networking is completed, the data flow characteristics of the current data flow are also obtained through the first intelligent switch. Through the data flow characteristics, the first network quality and the data flow path of the current networking network are determined, and the low-speed network paths that do not meet the first network quality in the data flow path are judged, and the low-speed network paths are replaced and accelerated through the network paths that meet the first network quality in the networking network; among them,

[0027] The first network quality is the lowest value of the data flow smoothness.

[0028] Furthermore, after the networking, the network path is also recorded through the first intelligent switch, and a path stability model is established; among them,

[0029] The path stability model is used to determine a reliable path for stable data stream transmission through a time-sensitive network;

[0030] The time-sensitive network is used to record the data stream after networking and judge the stability of different network paths through preset rules; among them,

[0031] The preset rules include the data volume rule, the usage frequency rule, and the packet loss rate rule.

[0032] Furthermore, the time-sensitive network is also used to set a silent identifier for the intelligent switch; among them,

[0033] The silent identifier is used to represent the silent state of the intelligent switch, and the silent state includes the silent mode, the silent time, and the delay time;

[0034] The silent identifier sets the silent time based on the predictive wake-up mechanism, and the setting steps include:

[0035] Obtain the time characteristics of the user's network access data and use them as the first time characteristics;

[0036] Iteratively process the first time characteristics to determine the target time characteristics; among them,

[0037] The iterative processing includes: the first iterative processing based on the network access time habit and the second iterative processing based on the network access duration habit;

[0038] Introduce the target time characteristics into the execution processing mechanism of the silent identifier to form the predictive wake-up rule of the intelligent switch, and set the silent identifier and the silent rule corresponding to the silent identifier.

[0039] Furthermore, the first intelligent switch is also used to judge whether the target network device is within the direct networking distance according to the networking broadcast;

[0040] If the target terminal is within the direct networking distance, send a networking instruction to the target terminal;

[0041] If the target terminal is outside the direct networking distance, obtain the terminal information in the wireless signal and plan the best networking path between the target terminal and itself.

[0042] Furthermore, the networking broadcast includes a networking mode; among them,

[0043] The networking mode includes same-device networking and different-device networking. Same-device networking is used to network only through the intelligent switch, and different-device networking is used to network through the intelligent switch and network devices that are not intelligent switches;

[0044] When the networking mode is started, the middleware protocol interfaces of same-device networking and different-device networking are started, and middleware switching is performed according to the networking mode; among them,

[0045] The middleware protocol interface is written according to the protocol information of different networking devices and is used for communication between different networking devices.

[0046] An intelligent switch, applicable to the networking method of the above-mentioned intelligent switch, is characterized in that the intelligent switch includes at least one human body information sensing module and one networking module; wherein,

[0047] The human body information sensing module is used for sensing human body information;

[0048] The networking module is used for generating an access request and connecting to a network device for networking.

[0049] The beneficial effects of the present invention are as follows:

[0050] In the process of networking the intelligent switch of the present invention, different types of intelligent switches can also be networked. Secondly, the intelligent switch of the present invention can utilize human body information, enabling the intelligent switch to initiate a connection actively, greatly simplifying the networking process and improving the networking efficiency. At the same time, since all intelligent switches operate in the same network system, not only can energy be saved, but also resource sharing can be achieved.

[0051] Other features and advantages of the present invention will be described in the subsequent specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in the written specification and the drawings.

[0052] The technical solution of the present invention will be further described in detail below through the drawings and embodiments. Description of the Drawings

[0053] The drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation to the present invention. In the drawings:

[0054] Figure 1 It is a method flow chart of a networking method for an intelligent switch in an embodiment of the present invention;

[0055] Figure 2 It is an induction determination diagram of human body induction in an embodiment of the present invention;

[0056] Figure 3 It is a composition diagram of an intelligent switch in an embodiment of the present invention. Detailed Embodiments

[0057] The following describes the preferred embodiments of the present invention with reference to the drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention and are not used to limit the present invention.

[0058] As Figure 1 shown, the present invention proposes a networking method for an intelligent switch, including:

[0059] When the first intelligent switch senses human body information, the first intelligent switch generates an access request and uses the first intelligent switch as the master node for networking broadcast; wherein,

[0060] The networking broadcast includes the switch identifier and network channel of the first intelligent switch;

[0061] Receive the first response signal from the second network device, establish a connection with the corresponding network device, and generate the first network as an ordinary node; wherein,

[0062] The second network device includes a networked device or a second intelligent switch;

[0063] Receive the second response signal of the third network device through the first network, and connect to the third network device through the first network for networking.

[0064] The principle of the above technical solution is as follows:

[0065] When the first intelligent switch in the present invention senses human body information, the first intelligent switch generates an access request, which is completed by the internal control system of the first intelligent switch. When the first intelligent switch detects a human action or environmental change, it will trigger its internal sensor to generate a corresponding change in sensing information. Then, the sensing information is sent to the internal control system of the first intelligent switch for analysis. If the analysis result shows that the intelligent switch needs to access the network for remote control or data transmission, the internal control system of the first intelligent switch will automatically send an access request.

[0066] During the networking process, the first intelligent switch uses itself as the master node for networking broadcast. In this process, the first intelligent switch will broadcast its own switch identifier and network channel information. The switch identifier and network channel information are received by other intelligent switches or other network devices, which identify the specific information of the intelligent switch and establish a connection with it. At the same time, since the first intelligent switch has become the master node, it can send control instructions to other devices to further expand the network scale, receive the first response signal from the second network device, and establish a connection with the corresponding network device.

[0067] In this step, the second network device may be a networked device or another intelligent switch. For example, if the second network device is another intelligent switch, then the two intelligent switches can directly establish a connection and exchange information.

[0068] If it is a networked device, then the second network device will send a response signal to the first intelligent switch, indicating that it is ready to access the network.

[0069] At this time, the first intelligent switch can confirm the received network request by replying with a response signal. Receive the second response signal of the third network device through the first network, and connect to the third network device through the first network to form a network.

[0070] This step is to incorporate more network devices into a network system. For example, if the third network device is also an intelligent switch, it can be directly connected to the first intelligent switch. If the third network device is not an intelligent switch, it can also be connected to the first intelligent switch through the second network device. Once the connection is established, these three intelligent switches can communicate with each other and share data.

[0071] The beneficial effects of the above technical solution are as follows:

[0072] First of all, during the process of network formation by intelligent switches, different types of intelligent switches can also form a network. Secondly, the intelligent switch of the present invention can utilize human body information, enabling the intelligent switch to initiate a connection actively, greatly simplifying the network formation process and improving the network formation efficiency. At the same time, since all intelligent switches operate in the same network system, not only can energy be saved, but also resource sharing can be achieved.

[0073] As an embodiment of the present invention: the human body information is determined by the human body sensing module in the first intelligent switch through human body detection at a preset sensitivity; wherein,

[0074] The human body sensing module includes a posture sensing unit, a temperature sensing unit, and a sound sensing unit; wherein,

[0075] The posture sensing unit is used to capture the user's posture and perform dynamic calibration to generate the first human body modeling information;

[0076] The temperature sensing unit is used to sense the human body temperature and generate the second human body modeling information;

[0077] The sound sensing unit is used to sense the user's voice and generate the third human body modeling information;

[0078] When it is determined that there is someone based on any two pieces of human body modeling information, the first intelligent switch starts to form a network.

[0079] The principle of the above technical solution is as follows:

[0080] As shown in the appendix Figure 2 The intelligent switch of the present invention has a built-in human body sensing module, which includes three sub-modules, namely a posture sensing unit, a temperature sensing unit, and a sound sensing unit. These three sub-modules are respectively responsible for capturing the user's posture, sensing the human body temperature, and sensing the user's voice.

[0081] These modules all work under a preset sensitivity. By presetting the induction sensitivity, for different scenarios, such as in the home scenario or service scenarios (restaurant or hotel), high sensitivity can be set.

[0082] In some restrictive network scenarios, such as public scenarios, scenarios with too few people, schools, etc., where there are network restrictions to prevent students or residents from being overly dependent on the network. Lower-sensitivity human information induction is required to prevent too many people from accessing the network or to ensure the access range. In some noisy and variable environments, to ensure the stability of the induction device, the sensitivity is also reduced to ensure the stability of network formation and to achieve a certain degree of low-end energy conservation.

[0083] Through the human body induction module of the present invention, when the user makes a body movement, speaks, or stands, these modules can quickly and accurately capture the relevant changes and respond in a timely manner. The working results of these three sub-modules are integrated together to form the first human body modeling information, the second human body modeling information, and the third human body modeling information. When these three pieces of information are integrated together, if there are two pieces of human body modeling information, it indicates that someone is present. At this time, the intelligent switch will initiate the process of network formation.

[0084] The beneficial effects of the above technical solution are as follows:

[0085] The present invention performs human body detection through a preset sensitivity and can adapt to two different scenarios of high sensitivity and low sensitivity. The posture sensing unit can capture the user's posture and judge human body information including age, speaking posture, etc., so as to ensure that the induction for network formation is not incorrect. At the same time, for families with many children, through different sensing units, the sensing conditions can be set to ensure that users whose voices and postures still belong to children cannot use the network, realizing automatic supervision and preventing children from forming a network through the automatic network formation function. Both postures and voices can be analyzed for different people, and then through different human body modeling, user information analysis is carried out to prevent children from accessing the network illegally through the network formation function.

[0086] As an embodiment of the present invention: The access request is authenticated by the indoor routing device; wherein,

[0087] During the access authentication process of the intelligent switch, the waiting time for authentication is set, and a notification message for authentication authorization is obtained within the waiting time; wherein,

[0088] When no authentication information is obtained within the waiting time, the authentication fails, and the incorrect indoor routing device is marked.

[0089] When authentication information is obtained within the waiting time, it is judged whether the authentication is successful;

[0090] Among them,

[0091] When the authentication fails, the legality of the indoor router is verified.

[0092] When the authentication is successful, connect to the corresponding router and serve as a WIFI direct connection path.

[0093] The principle of the above technical solution is as follows:

[0094] The present invention sets a waiting time for authentication. The length of this waiting time can be adjusted according to specific scenarios and security requirements. During this waiting time, the smart switch will continuously attempt to connect to the indoor routing device to obtain authentication authorization messages. If such messages cannot be obtained within the waiting time, it means that the authentication fails. At this time, the smart switch will mark the incorrect authentication information and feedback it to the indoor routing device so that they can take timely measures (district measures, intrusion detection measures). On the other hand, if the smart switch successfully obtains the authentication information within the waiting time, it is necessary to further determine whether the authentication is successful. If the authentication fails, the smart switch will verify the legality of the indoor router to ensure the security of the connection. If the authentication is successful, the smart switch will connect to the corresponding indoor router and regard itself as part of a WIFI direct connection path. In this way, whether at home or in the office, the smart switch can conveniently communicate and share information with other devices. Generally speaking, this method fully considers the security and reliability of the smart switch, ensures that only devices that have passed security authentication can join the network, and effectively prevents potential security risks. At the same time, this simple and effective authentication mechanism can help indoor routing devices quickly and accurately identify unauthorized devices and avoid unnecessary troubles.

[0095] As an embodiment of the present invention: after the networking is completed, when a second smart switch senses human body information, the second smart switch is used as the main node, and the first smart switch is converted into an ordinary node.

[0096] The principle of the above technical solution is as follows:

[0097] When a second smart switch (the second smart switch) senses human body information in the smart home network, another networking method of the present invention uses the second smart switch as the main node and converts the first smart switch (the first smart switch) into an ordinary node.

[0098] The purpose of doing this is to achieve load balancing and expansion of smart home devices. After the first smart switch becomes an ordinary node, it can continue to communicate with other devices such as lamps, collect relevant data, and upload this data to the server.

[0099] Meanwhile, when the second smart switch becomes the master node, it aggregates various information collected, forms a larger dataset, and then analyzes and processes this data according to pre-set rules, such as real-time monitoring of the home status, automatic adjustment of the indoor environment, and even learning the owner's living habits, etc. This improves the data processing efficiency, makes the entire network more flexible, and adapts to different application scenarios.

[0100] Meanwhile, when a new smart switch is added, it can also quickly perform role conversion, enabling it to immediately participate in the network operation without consuming excessive computing resources.

[0101] As an embodiment of the present invention: after the networking is completed, the first smart switch is also used to obtain the data stream characteristics of the current data stream. Through the data stream characteristics, the first network quality and the data stream path of the current networking network are determined, and the low-speed network paths that do not meet the first network quality in the data stream path are judged, and the low-speed network paths are replaced and accelerated through the network paths that meet the first network quality in the networking network; wherein,

[0102] The first network quality is the minimum value of the data stream smoothness.

[0103] The principle of the above technical solution is as follows:

[0104] The present invention obtains the data stream characteristics of the current data stream through the first smart switch, determines the first network quality and the data stream path of the current networking network, and judges the low-speed network paths that do not meet the first network quality in the data stream path, and replaces and accelerates them through the network paths that meet the first network quality in the networking network.

[0105] When the first smart switch is in the ordinary node state, it is responsible for collecting and processing the data generated by the first smart switch and uploading it to the server. At the same time, through the sensors and other related hardware of the first smart switch, it can real-time monitor the status of the home, such as temperature, humidity, light brightness, etc. After being processed by the first smart switch, these data will be converted into a data format that can be understood by subsequent smart devices. For example, temperature data may be represented in an on / off manner.

[0106] When the first smart switch is converted to the master node, it analyzes the characteristics of the current data stream by obtaining the previously collected data. These characteristics may include data volume, frequency, duration, pattern, etc.

[0107] By analyzing these features, the first intelligent switch can determine the first network quality and data flow path of the current networking network. If the features of the data flow show that the data flow is relatively smooth, it indicates that the quality of the current network is high. At this time, the first intelligent switch will set the data flow path as a high-quality path.

[0108] Conversely, if the features of the data flow show that the data flow is not smooth, it indicates that the quality of the current network is low. At this time, the first intelligent switch will set the data flow path as a low-speed network path. The data flow features of the current data flow obtained by the first intelligent switch can also help the first intelligent switch determine the low-speed network paths that do not meet the first network quality in the data flow path.

[0109] When the first intelligent switch discovers a low-speed network path in a certain data flow path, it will replace and accelerate it through the high-quality path in the networking network. This method can not only improve the network operation efficiency, but also reduce the impact of the low-speed network path on the data flow transmission, ensuring the accuracy and timeliness of the data.

[0110] The beneficial effects of the above technical solution are as follows:

[0111] The present invention uses human body information to actively initiate a connection, simplifying the networking process; by analyzing the data flow features, it adaptively adjusts the network path, solving the problem of unstable network quality.

[0112] As an embodiment of the present invention: after networking, the first intelligent switch also records the network path and establishes a path stability model; wherein,

[0113] The path stability model is used to determine a reliable path for stable data flow transmission through a time-sensitive network;

[0114] The time-sensitive network is used to record the data flow after networking and judge the stability of different network paths through preset rules; wherein,

[0115] The preset rules include a data volume rule, a usage frequency rule, and a packet loss rate rule.

[0116] The principle of the above technical solution is as follows:

[0117] The present invention records the network path through the first intelligent switch and establishes a path stability model. The path stability model is mainly used to determine a reliable path for stable data flow transmission through a time-sensitive network.

[0118] The time-sensitive network can record the data stream after networking and determine the stability of different network paths according to preset rules (such as data volume rules, usage frequency rules, and packet loss rate rules, etc.). The role of the path stability model is to calculate the stability and reliability of each network path through preset rules and select the most stable and reliable path for data transmission.

[0119] Selecting paths in the above manner not only ensures the real-time and accuracy of data transmission, but also improves the efficiency of data transmission. The first intelligent switch can timely adjust its data transmission channel when the network path changes to ensure the smooth progress of data transmission. Through its flexible path selection ability, the adaptability and intelligent level of the intelligent switch in a complex network environment are improved.

[0120] The beneficial effects of the above technical solutions are as follows:

[0121] The present invention can more comprehensively measure the stability of network paths. The first intelligent switch can continuously self-learn and improve after networking to improve the reliability of data transmission.

[0122] As an embodiment of the present invention: the time-sensitive network is also used to set a silent identifier for the intelligent switch; wherein,

[0123] The silent identifier is used to represent the silent state of the intelligent switch, and the silent state includes a silent mode, a silent time, and a delay time;

[0124] The silent identifier sets the silent time based on a predictive wake-up mechanism, and the setting steps include:

[0125] Obtain the time characteristics of the user's network access data and use it as the first time characteristic;

[0126] Perform iterative processing on the first time characteristic to determine the target time characteristic; wherein,

[0127] The iterative processing includes: the first iterative processing based on the network access time habit and the second iterative processing based on the network access duration habit;

[0128] Introduce the target time characteristic into the execution processing mechanism of the silent identifier to form the predictive wake-up rule of the intelligent switch, and set the silent identifier and the silent rule corresponding to the silent identifier.

[0129] The principle of the above technical solutions is as follows:

[0130] In the present invention, the silent identifier is a special data identifier used to represent the silent state of the intelligent switch under specific circumstances.

[0131] For example, when the smart switch is in silent state, it can remain inactive to save energy or avoid misoperation. The silent state can be marked by a silent mark and activated when needed. The settings of silent mode and silent time can be customized according to the needs of actual application scenarios. For example, when the smart switch does not need to work in a certain period of time, it can be set to silent state, and the silent mark will be activated. When the smart switch is in a specific location or surrounding environment, it can be set to silent state, and the silent mark will be activated. In addition, the setting of delay time is also very important. Because it can determine the time when the smart switch switches from silent state to working state. For example, if the delay time is 0, the smart switch will start working immediately as soon as it reaches the silent state. If the delay time is 5 minutes, the smart switch needs to wait for 5 minutes before it starts working. This can save energy and improve work efficiency to a certain extent.

[0132] The above technical solution not only considers the network connection problem of the smart switch, but also considers how to enable the smart switch to better provide services to users after the network connection. The smart switch can be "silent" at different time intervals according to the user's usage habits and working mode. During certain time periods, the smart switch will not actively respond to external input, but will remain in a passive state. This method can avoid additional power consumption when it is not needed, and also avoid interference caused by frequent actions.

[0133] The predictive wake-up mechanism and silent flag setting can enable the smart switch to be awakened at the appropriate time, thereby maximizing work efficiency and user experience.

[0134] The beneficial effects of the above technical solution are:

[0135] When different switches are silent, the silent time and duration are in line with the user's network access habits, which is convenient for users to wake up at high speed and automatically. In combination with other indoor smart devices, the silence can be released before the user returns home to realize smart home networking.

[0136] As an embodiment of the present invention: the first intelligent switch is further used to determine whether the target network device is located within the direct networking distance according to the networking broadcast;

[0137] If the target terminal is within the direct networking distance, a networking instruction is sent to the target terminal;

[0138] If the target terminal is outside the direct networking range, the terminal information in the wireless signal is obtained and the optimal networking path between the target terminal and the target terminal is planned.

[0139] The principle of the above technical solution is:

[0140] When the first intelligent switch senses that someone is approaching or operating, it will immediately generate an access request and broadcast itself as the master node for network formation. The information broadcast during network formation includes information such as the switch identification of the first intelligent switch and the network channel. The switch identification is the basis for all intelligent switches to discover and identify each other.

[0141] The intelligent switch will determine whether the target network device is within the direct network formation range based on the received response signal. If the target device is within the direct network formation range, the intelligent switch will immediately send a network formation instruction to it to make it join the network. This process is called "direct network formation". If the target device is outside the direct network formation range, the intelligent switch will attempt to obtain information about other terminals within the wireless signal where the target device is located and plan the best network formation path between the target terminal and itself. This process is called "indirect network formation".

[0142] Both direct network formation and indirect network formation are to plan the best network formation path to connect the target terminal to the network. This process requires continuously collecting and analyzing the surrounding wireless signals to obtain the most accurate location information of the target terminal.

[0143] The beneficial effects of the above technical solution are as follows:

[0144] The present invention can autonomously make behavioral decisions in a complex wireless environment, so as to better adapt to and guide the user's use.

[0145] As an embodiment of the present invention: the network formation broadcast includes a network formation mode; wherein,

[0146] The network formation mode includes same-device network formation and different-device network formation. Same-device network formation is used for network formation only through intelligent switches, and different-device network formation is used for network formation through intelligent switches and network devices that are not intelligent switches;

[0147] When the network formation mode is started, the middleware protocol interfaces for same-device network formation and different-device network formation are started, and middleware switching is performed according to the network formation mode; wherein,

[0148] The middleware protocol interface is written according to the protocol information of different network formation devices and is used for communication between different network formation devices.

[0149] The principle of the above technical solution is as follows:

[0150] The network formation broadcast of the present invention includes a network formation mode, and the network formation mode is divided into two types: same-device network formation and different-device network formation.

[0151] Same-device network formation means that network formation can be completed only through intelligent switches without the participation of additional network devices; same-device network formation can only connect devices of the same type, that is, intelligent switches of the same type, to ensure the security of the network formation network.

[0152] Networking of different devices refers to the need to complete networking through network devices of intelligent switches and non-intelligent switches. Since network devices of both intelligent switches and non-intelligent switches can access the network, the scope of the network is expanded.

[0153] The middleware protocol interface is an interface used to connect and coordinate communications between different networking devices. It can make corresponding settings and switches according to the protocol information of different networking devices, ensuring seamless docking and stable operation of all devices during networking.

[0154] The beneficial effects of the above technical solution are as follows:

[0155] When networking in the present invention, the middleware protocol mechanisms of different intelligent switches and network devices are started, enabling different networking devices to automatically switch protocols for networking and preventing incompatibility problems.

[0156] As shown in the appendix Figure 3 The present invention provides an intelligent switch applicable to the networking method of the above intelligent switch, characterized in that the intelligent switch includes at least one human body information sensing module and a networking module; wherein,

[0157] The human body information sensing module is used to sense human body information;

[0158] The networking module is used to generate an access request and connect to network devices for networking.

[0159] The principle of the above technical solution is as follows:

[0160] The intelligent switch of the present invention mainly consists of two human body information sensing modules and a networking module. The human body information sensing module is responsible for detecting human activities in the surrounding environment, such as actions and sounds. Once the presence of a person is detected, it will trigger the operation of the intelligent switch. The networking module, after the intelligent switch senses human body information, immediately generates an access request and connects to network devices for networking. This process is very fast and can be completed within a few milliseconds. The networking module will generate an access request based on the received signal and, after confirming the correct identity of the device, immediately establish a connection with the network device for networking.

[0161] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and its equivalent technologies, the present invention is also intended to include these changes and modifications.

Claims

1. A networking method for an intelligent switch, characterized in that: include: When the first intelligent switch senses human body information, the first intelligent switch generates a network access request and uses the first intelligent switch as a master node for network broadcasting; wherein, The networking broadcast includes a switch identifier and a network channel of the first intelligent switch; The human body information is determined by the human body sensing module in the first intelligent switch under a preset sensitivity for human body detection, and the human body sensing module includes a posture sensing unit, a temperature sensing unit and a sound sensing unit; wherein, The posture sensing unit is used to capture the user's posture, and perform dynamic calibration to generate first human body modeling information; The temperature sensing unit is used to sense the temperature of the human body and generate second human body modeling information; The sound sensing unit is used to sense the user's voice and generate third-party human body modeling information; When any two pieces of human body modeling information are present to determine that a person exists, the first intelligent switch starts networking; receiving a first response signal from a second network device, establishing a connection with the corresponding network device, and generating a first network as a common node; wherein, The second network device includes a networking device or a second intelligent switch; A second response signal of the third network device is received through the first network, and the third network device is connected through the first network to form a network.

2. A networking method for an intelligent switch according to claim 1, characterized in that: After the networking is completed, the data flow characteristics of the current data flow are obtained through the first intelligent switch, and the first network quality and data flow path of the current networking network are determined through the data flow characteristics, and the low-speed network path that does not meet the first network quality in the data flow path is judged, and the low-speed network path is replaced and accelerated by the network path that meets the first network quality in the networking network; wherein, The first network quality is the lowest value of data flow smoothness.

3. A networking method for an intelligent switch according to claim 1, characterized in that: After the networking is established, the network path is recorded through the first intelligent switch to establish a path stability model; wherein, The path stability model is used to determine a reliable path for stable transmission of data streams through a time-sensitive network; Time-sensitive networking is used to record the data flow after networking and determine the stability of different network paths through preset rules; The preset rules include data volume rules, usage frequency rules and packet loss rate rules.

4. A networking method for an intelligent switch as claimed in claim 3, characterized in that: The time-sensitive network is also used to set a silent flag for the intelligent switch; wherein, The silent flag is used to represent the silent state of the intelligent switch. The silent state includes the silent mode, silent time and delay time. The silent flag sets the silent time based on the predictive wake-up mechanism. The setting steps include: Obtain the time feature of the user's network access data and use it as the first time feature; The first time feature is iteratively processed to determine the target time feature; wherein, The iterative processing includes: a first iterative processing based on the network access time habit and a second iterative processing based on the network access time habit; The target time feature is introduced into the execution processing mechanism of the silent mark to form the predictive wake-up law of the intelligent switch, and the silent mark and the silent rule corresponding to the silent mark are set.

5. A networking method for an intelligent switch according to claim 1, characterized in that: The first intelligent switch is further used to determine whether the target terminal is located within the direct networking range according to the networking broadcast; If the target terminal is within the direct networking distance, a networking instruction is sent to the target terminal; If the target terminal is outside the direct networking range, the terminal information within the wireless signal range is obtained, and the optimal networking path between the target terminal and the target terminal is planned.

6. A networking method for an intelligent switch according to claim 1, characterized in that: The networking broadcast includes a networking mode; wherein, The networking modes include same-device networking and different-device networking. Same-device networking is used for networking only through smart switches, and different-device networking is used for networking through network devices of smart switches and non-intelligent switches. When the networking mode is started, the middleware protocol interface of the same device networking and different device networking is started, and the middleware is switched according to the networking mode; The middleware protocol interface is written according to the protocol information of different networking devices and is used for communication between different networking devices.

7. An intelligent switch, applicable to the networking method of the intelligent switch according to any one of claims 1 to 6, characterized in that: The intelligent switch includes at least one human body sensing module and a networking module; wherein, The human body sensing module is used to sense human body information; The networking module is used to generate network access requests and connect network devices to form a network.

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