A 5G-based smart home device interconnection platform and method

Abstract

The present application relates to the field of smart home interconnection technology, and in particular to a 5G-based smart home device interconnection platform and method. The method includes: obtaining user scenario information, analyzing user scenario information, and determining user demand information; obtaining a smart home information set, analyzing the smart home information set based on user demand information, and determining a scene core home node set; obtaining scene layout information, and performing signal transmission analysis on the scene core home node set based on the scene layout information and the smart home information set to determine an interference information set; based on the smart home information set, determining a forwarding device node set based on the interference information set; and constructing a dynamic smart home network based on the scene core home node set and the forwarding device node set. The present application enables the smart home network to flexibly adapt to the personalized interconnection needs of users for smart homes in highly intelligent home scenarios, significantly improving the user experience.

Description

Technical Field

[0001] The present application relates to the field of smart home interconnection technology, and in particular to a 5G-based smart home device interconnection platform and method. Background Art

[0002] With the rapid development and gradual popularization of 5G technology, the network environment with higher transmission speed, low latency and larger connection capacity provides strong support for the interconnection between smart home devices. Under the 5G network, devices can transmit data more quickly and efficiently, making real-time communication between various smart devices possible, thereby promoting the complexity and connectivity of smart home systems.

[0003] However, the existing 5G-based smart home interconnection technology still relies on centralized control nodes, which makes it difficult for existing technologies to flexibly adapt to users' personalized interconnection needs for smart homes in highly intelligent home scenarios. In addition, the fault tolerance rate during control signal transmission is low, making it difficult to ensure users' continued good experience. Summary of the invention

[0004] The present application provides a 5G-based smart home device interconnection platform and method to solve the above-mentioned technical problems.

[0005] In a first aspect, the present application provides a 5G-based smart home device interconnection method, the method comprising:

[0006] Acquire user scenario information, analyze the user scenario information, and determine user demand information;

[0007] Acquire a smart home information set, analyze the smart home information set according to the user demand information, and determine a scene core home node set;

[0008] Acquire scene layout information, and perform signal transmission analysis on the scene core home node set according to the scene layout information and the smart home information set to determine an interference information set;

[0009] Based on the smart home information set, and according to the interference information set, determining a forwarding device node set;

[0010] A dynamic smart home network is constructed according to the scenario core home node set and the forwarding device node set.

[0011] Through this solution, user scenario information is analyzed to obtain user demand information, and on this basis, a scenario core home node set that can meet the user's dynamic needs is extracted from the smart home information set, and combined with the scenario layout information inside the user's home, the interference information set in the signal transmission process of each smart home device in the scenario core home node set is determined, and by introducing other smart home devices as signal forwarding nodes, the stability and reliability of signal transmission are guaranteed. According to the scenario core home node set and the forwarding device node set, a dynamic smart home network is constructed to achieve dynamic interconnection of smart home devices, so that the smart home network can flexibly adapt to the personalized interconnection needs of users for smart homes in highly intelligent home scenarios, and significantly improve the user experience.

[0012] Optionally, the user scenario information includes user key behavior information, behavior timing information, and related device states, and the analyzing the user scenario information to determine the user demand information includes:

[0013] Based on the behavior time sequence information, analyzing the user's key behavior information and the device status involved, and determining a local demand scenario;

[0014] According to the local demand scenario, a scenario identifier is determined, and a scenario demand feature vector set is constructed based on the identifier;

[0015] The scenario requirement feature vector set is used as the user requirement information.

[0016] Through this solution, the behavior timing information, user key behavior information and the status of the equipment involved are analyzed to determine the local demand scenario, and combined with the scenario identifier, a scene demand feature vector set is constructed, and the scene demand feature vector set is used as the user demand information, so that the user's specific needs for some smart home devices in the local scenario can be described through mathematical language, providing a scientific data framework for the construction of the smart home network.

[0017] Optionally, the smart home information set includes a device feature vector set and a device identification set, and the step of analyzing the smart home information set according to the user demand information to determine a scene core home node set includes:

[0018] Based on the device identification set, analyzing the device feature vector set, determining a number of device feature vectors and a corresponding number of device features for each smart home device;

[0019] Determining the total number of scenario requirement features according to the scenario requirement feature vector set;

[0020] Based on the scene requirement feature vector set, determining the real-time scene relevance of each smart home device according to the total number of scene requirement features, the number of device features and a number of the device feature vectors;

[0021] Comparing the real-time scene correlation with a preset correlation threshold, if the real-time scene correlation is greater than the preset correlation threshold, determining the corresponding smart home device as a scene core home node;

[0022] According to the plurality of the scene core home nodes, the scene core home node set is constructed.

[0023] Through this solution, the correlation between the device feature vector representing the functional characteristics of the smart home device and the scene demand feature vector representing the specific needs of the user is analyzed to obtain the real-time scene correlation between each smart home device and the user's current local demand scene. Based on the comparison result of the real-time scene correlation and the preset correlation threshold, the corresponding smart home device that needs to be called in the current local demand scene is used as the scene core home node, and the scene core home node set is constructed based on this, which accurately locates the corresponding smart home device that meets the specific needs of the user in the current local demand scene, so that the scene core home node set can dynamically adapt to changes in user needs.

[0024] Optionally, based on the scene requirement feature vector set, the real-time scene relevance of each smart home device is determined according to the total number of scene requirement features, the number of device features and a number of device feature vectors, specifically the following formula:

[0025] ;

[0026] in, is the real-time scene association degree, is the first scenario requirement feature vector, For the The preset influence weight corresponding to the feature vector of the scenario requirement is For the The device corresponding to The device feature vector, is the total number of required features for the scenario, is the number of device features.

[0027] Through this solution, mathematical analysis methods are used to scientifically quantify the real-time scene correlation that reflects the degree of match between smart home devices and user scene requirements based on the scene requirement feature vector set, the total number of scene requirement features, the number of device features and several device feature vectors through clear mathematical formulas, thereby improving the accuracy of the analysis process of the degree of match between smart home devices and user scene requirements.

[0028] Optionally, the smart home information set further includes a smart home location information set and a device parameter information set, and the signal transmission analysis of the scene core home node set is performed according to the scene layout information and the smart home information set to determine the interference information set, including:

[0029] Analyze the smart home location information set to determine the relative distance between any two smart home devices in the scene core home node set;

[0030] Extracting a device interference source information set and a signal frequency corresponding to each smart home according to the device parameter information set;

[0031] Analyze and extract structural interference sources in the scene according to the scene layout information, and determine a number of structural interference sources, the number of interfering structures, and the corresponding structural thicknesses;

[0032] According to the scene layout information, a number of object interference sources and device interference sources are extracted, and the number of object interference sources, the object interference intensity corresponding to each object interference source, the number of device interference sources and the transmission signal intensity of each device interference source are analyzed to respectively construct an object interference source information set and an interference source information set;

[0033] Determining a composite interference factor according to the device interference source information set and the item interference source information set;

[0034] Based on the composite interference factor, the signal interference intensity between any two smart home devices in the core home node set of the scene is determined according to the signal frequency, several structural interference sources, the number of interference structures and the structural thickness, and the interference information set is constructed based on this.

[0035] Through this solution, by screening and analyzing the smart home location information set, device parameter information set and scene layout information respectively, a number of relative distances, signal frequencies, structural interference sources, object interference sources and device interference sources are extracted. On the basis of the influence of the smart home devices themselves and combined with various external interference sources, the signal interference intensity between different smart home devices is analyzed, providing an accurate and solid data foundation for the subsequent optimization of the signal transmission process and thus improving the stability of signal transmission.

[0036] Optionally, based on the composite interference factor, the signal interference intensity between any two smart home devices in the scene core home node set is determined according to the signal frequency, the plurality of structural interference sources and the number of interference structures, specifically the following formula:

[0037] ;

[0038] in, For the Smart home devices and The signal interference strength between smart home devices, For the Smart home devices and The relative distances between the smart home devices, is the signal frequency corresponding to the smart home device currently transmitting the signal, is the speed of light, is the number of interference structures, For the The preset attenuation constant corresponding to the interference structure, For the the structure thickness of the interfering structure, is the preset reference thickness, is the composite interference factor, is the interference source information set of the item, is an interference source information set of the device.

[0039] Through this scheme, mathematical analysis methods are used, based on the composite interference factor, according to the signal frequency, several structural interference sources and the number of interference structures, and a clear mathematical formula is designed to scientifically quantify the signal interference intensity that reflects the comprehensive interference intensity of the signal transmission process between smart home devices, thereby improving the accuracy of the signal interference intensity analysis process.

[0040] Optionally, the composite interference factor is determined according to the device interference source information set and the item interference source information set, specifically by the following formula:

[0041] ;

[0042] in, is the composite interference factor, is the interference source information set of the item, is the device interference source information set, To preset the electromagnetic influence coefficient, is the number of interference sources of the item, For the The item interference intensity of the item interference source, For the The distance between the interference source and the smart home device currently receiving the signal. is the interference influence coefficient of the preset equipment, is the number of interference sources for the device, For the The transmission signal strength of each device interference source, is the preset attenuation adjustment coefficient, For the The distance between the device interference source and the smart home device currently receiving the signal.

[0043] Through this solution, mathematical analysis is used to design clear mathematical formulas based on the equipment interference source information set and the object interference source information set to accurately quantify the composite interference factor that reflects the degree of comprehensive interference of objects and equipment in the scene on signal transmission, thereby improving the scientificity and accuracy of the composite interference factor.

[0044] Optionally, determining a forwarding device node set based on the smart home information set and according to the interference information set includes:

[0045] Matching the signal interference strengths in the interference information set with a preset signal interference threshold, and if the signal interference strength is greater than the preset signal interference threshold, determining the corresponding smart home device as a signal abnormality device;

[0046] Based on the scene layout information, extracting signal transmission paths between a number of signal abnormal devices;

[0047] Based on the smart home location information set, several signal transmission paths are analyzed, and several smart home devices located in the area where the signal transmission path passes but not in the core home node set of the scene are extracted, and the forwarding device node set is constructed based on this.

[0048] Through this solution, when the signal interference intensity is greater than the preset signal interference threshold, the signal transmission path between the signal abnormal devices is extracted according to the scene layout information, and a forwarding device node set is constructed based on a number of smart home devices located in the area where the signal transmission path passes but not in the scene core home node set. While ensuring stable signal transmission, it does not interfere with a number of smart home devices in the scene core home node set.

[0049] Optionally, the method further includes:

[0050] In the process of forwarding signals by using the smart home devices in the forwarding device node set, real-time signal information is obtained;

[0051] According to the real-time signal information, the real-time signal information is analyzed for integrity compliance. If the integrity of the real-time signal information does not meet the standards, a forwarding device node corresponding to the most recent time the integrity of the real-time signal information met the standards is extracted, and the forwarding device node is determined as a transit departure node;

[0052] Based on the forwarding device node set and according to the transit departure node, the signal transmission path is dynamically planned to determine a dynamic signal transmission path.

[0053] Through this solution, in the process of signal forwarding using smart home devices in the forwarding device node set, the integrity of the real-time signal information is analyzed. When the integrity of the real-time signal information does not meet the standard, the forwarding device node corresponding to the most recent time the integrity of the real-time signal information met the standard is used as the transit departure node. In combination with the forwarding device node set, a dynamic signal transmission path that can ensure the stability of signal transmission is re-planned to avoid damage to the signal integrity caused by sudden situations in the smart home devices corresponding to the forwarding device nodes, thereby improving the reliability of the signal transmission process.

[0054] In a second aspect, the present application provides a 5G-based smart home device interconnection platform, the platform comprising:

[0055] A demand analysis module is used to obtain user scenario information, analyze the user scenario information, and determine user demand information;

[0056] A core node analysis module is used to obtain a smart home information set, analyze the smart home information set according to the user demand information, and determine a scene core home node set;

[0057] An interference analysis module, used to obtain scene layout information, and perform signal transmission analysis on the scene core home node set according to the scene layout information and the smart home information set to determine an interference information set;

[0058] A forwarding node analysis module, configured to determine a forwarding device node set based on the smart home information set and the interference information set;

[0059] The network construction module is used to construct a dynamic smart home network based on the scene core home node set and the forwarding device node set. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0061] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application;

[0062] Figure 2 A flowchart of a 5G-based smart home device interconnection method provided in one embodiment of the present application;

[0063] Figure 3A schematic diagram of the structure of a 5G-based smart home device interconnection platform provided in one embodiment of the present application. DETAILED DESCRIPTION

[0064] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0065] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0066] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0067] Existing 5G-based smart home interconnection technology still relies on centralized control nodes, which makes it difficult for existing technologies to flexibly adapt to users' personalized interconnection needs for smart homes in highly intelligent home scenarios. In addition, the fault tolerance rate during control signal transmission is low, making it difficult to ensure users' continued good experience.

[0068] Based on this, the present application provides a 5G-based smart home device interconnection platform and method. By introducing other smart home devices as signal forwarding nodes, the stability and reliability of signal transmission are guaranteed, and a dynamic smart home network is constructed according to the scene core home node set and forwarding device node set to achieve dynamic interconnection of smart home devices, so that the smart home network can flexibly adapt to the personalized interconnection needs of users for smart homes in highly intelligent home scenarios, significantly improving the user experience.

[0069] Figure 1 This is a schematic diagram of an application scenario provided by the present application. In the process of smart home interconnection, the method provided by the present application is applied so that the constructed dynamic smart home network can meet the dynamic needs of users and ensure the stability of signal transmission.

[0070] Specifically, the method of the present application is applied to several smart home devices in the user's home, which all communicate with the home monitoring system. Through several smart home devices, the user scenario information provided by the home monitoring system is analyzed to obtain user demand information. On this basis, the scene core home node set that can meet the user's dynamic needs is extracted from the smart home information set, and combined with the scene layout information inside the user's home provided by the home monitoring system, the interference information set in the signal transmission process of each smart home device in the scene core home node set is determined, and by introducing other smart home devices as signal forwarding nodes, the stability and reliability of signal transmission are guaranteed. According to the scene core home node set and the forwarding device node set, a dynamic smart home network is constructed to realize the dynamic interconnection of smart home devices, so that the smart home network can flexibly adapt to the personalized interconnection needs of users for smart homes in highly intelligent home scenarios, and significantly improve the user experience. The specific implementation method can refer to the following embodiments.

[0071] Figure 2 This is a flow chart of a 5G-based smart home device interconnection method provided in an embodiment of the present application. The method of this embodiment can be applied to several smart home devices in the above scenario. Figure 2 As shown, the method includes:

[0072] S201: Obtain user scenario information, analyze the user scenario information, and determine user demand information.

[0073] The user scenario information may be scenario information around the user's location inside the home, and the user scenario information may be obtained through a monitoring system installed inside the user's home.

[0074] User demand information may be demand information that users need to solve using smart homes.

[0075] Specifically, existing smart home device interconnection technologies usually rely on a highly centralized smart home control center, through which different smart home devices within the home are routinely interconnected. This centralized management method is prone to single point failures, which in turn leads to systemic risks, and is difficult to meet the dynamic interconnection needs of different people in the home for different smart home devices. It lacks flexibility. This solution obtains and analyzes user scenario information, extracts information such as specific user objects, locations, and devices in use, and uses this to intelligently analyze the dynamic needs of the current user, which is used as user demand information to provide an information basis for the subsequent dynamic interconnection of different home devices based on user dynamic needs.

[0076] S202: Obtain a smart home information set, analyze the smart home information set according to user demand information, and determine a scene core home node set.

[0077] The smart home information set can be relevant information of each smart home device installed in the user's home, such as installation location, specific parameters, responsible functions, etc. The smart home information set can be obtained by sending parameter acquisition signals between smart home devices. When the number of smart home devices increases or decreases or the location changes, it can be dynamically updated.

[0078] The scene core home node set can be a collection of several smart home devices that are interconnected to meet the dynamic needs of the user in the current scene.

[0079] Specifically, due to the dynamic changes in user needs, the corresponding smart home devices that need to be interconnected and coordinated also differ under different dynamic needs of users. Based on user demand information that reflects user dynamic needs, through mathematical analysis, the user dynamic needs are matched with the uses of each smart home device in the smart home information set to extract a number of smart home devices that can cooperate with each other to solve the user's current dynamic needs. These smart home devices are identified as the scene core home node set, providing core node framework information for building a smart home network that dynamically adapts to user needs.

[0080] S203: Acquire scene layout information, perform signal transmission analysis on the scene core home node set according to the scene layout information and the smart home information set, and determine the interference information set.

[0081] The scene layout information may be the layout information within the scene area composed of the smart homes within the scene core home node set, and may include information such as structural layout, item layout, and equipment layout. The scene layout information may be obtained through a monitoring system installed inside the user's home.

[0082] The interference information set may be a set of interference information encountered when signals are transmitted between smart home devices in the scene core home node set.

[0083] Specifically, after determining the core home node set of the scene, it is necessary to achieve the interconnection of each smart home device in the core home node set of the scene to meet the dynamic needs of users. In the process of interconnection of each smart home device in the core home node set of the scene, it is susceptible to interference from different structural layouts, item layouts and equipment layouts within the user's home. Although 5G communication signals have the advantages of low latency and high speed, their penetration and anti-interference capabilities in local complex environments are relatively weak. In the process of realizing the interconnection of smart home devices based on 5G technology, the interference factors in the signal transmission process cannot be ignored. Through mathematical analysis, the degree of interference of different interference sources in the scene layout information on the signal transmission process of smart home devices is quantitatively analyzed to construct an interference information set, which provides data reference for subsequent improvement of the stability and reliability of signal transmission between smart homes.

[0084] S204: Determine a forwarding device node set based on the smart home information set and the interference information set.

[0085] The forwarding device node set may be a collection of other smart home devices used to forward signals between different smart home devices in the scene core home node set.

[0086] Specifically, in the process of interconnecting different smart home devices in the core home node set of the scene by transmitting control signals to each other, objective interference is difficult to eliminate quickly. When the objective interference is large, in order to ensure the integrity and real-time performance of the control signal, other smart home devices on the signal transmission path are introduced as signal forwarding nodes according to the interference information set. This enables the control signal to maintain fast and stable transmission in complex interference scenarios, and there is no need to introduce other signal relay hardware devices. It is only necessary to unify the signal transmission protocols of different smart homes at the software level, which significantly improves the reliability of the signal transmission process.

[0087] S205: Build a dynamic smart home network based on the scene core home node set and the forwarding device node set.

[0088] A dynamic smart home network can be a smart home Internet network that includes core home nodes in different scenarios and corresponding forwarding device nodes, which can meet the current dynamic needs of users while ensuring the stability of signal transmission.

[0089] Specifically, after determining the core home node set and forwarding device node set of the scene, the mesh topology structure is used to layout the core home nodes and corresponding forwarding device nodes of each scene to form a decentralized self-healing network structure, and then the signal reception and forwarding between nodes are realized through 5G communication technology, thus constructing a dynamic smart home network that can meet the current dynamic needs of users and realize the dynamic interconnection of smart home devices.

[0090] Through this solution, user scenario information is analyzed to obtain user demand information, and on this basis, a scenario core home node set that can meet the user's dynamic needs is extracted from the smart home information set, and combined with the scenario layout information inside the user's home, the interference information set in the signal transmission process of each smart home device in the scenario core home node set is determined, and by introducing other smart home devices as signal forwarding nodes, the stability and reliability of signal transmission are guaranteed. According to the scenario core home node set and the forwarding device node set, a dynamic smart home network is constructed to achieve dynamic interconnection of smart home devices, so that the smart home network can flexibly adapt to the personalized interconnection needs of users for smart homes in highly intelligent home scenarios, and significantly improve the user experience.

[0091] In some embodiments, based on behavior timing information, key user behavior information and related device states are analyzed to determine local demand scenarios; based on the local demand scenarios, scene identifiers are determined and based on them, a scene demand feature vector set is constructed; and the scene demand feature vector set is used as user demand information.

[0092] User scenario information includes user key behavior information, behavior timing information, and the status of the devices involved.

[0093] Behavior time series information can be a record of a user's behavior within a certain time range.

[0094] User key behavior information may be key behavior information extracted from user behavior for interacting with smart home devices, such as turning on lights, adjusting temperature, etc.

[0095] The device status involved may be status information of a specific smart home device involved in a key user behavior under the behavior timing information.

[0096] A local demand scenario can be a collection of specific services or operations that a user needs in a specific environment and at a specific time at home, such as family gatherings, night rest, etc.

[0097] The scenario identifier may be an identifier that encodes the local demand scenario and is used to uniquely identify a specific local demand scenario.

[0098] The scenario demand feature vector set may be a feature set that maps the user's requirements for smart home devices in a local demand scenario into a vector form.

[0099] Specifically, in the process of analyzing the specific needs of users, we mainly start from the user's behavior. The user's habits make the different behaviors they perform at different times at home contain their specific needs. Combined with the specific working states of different smart home appliances, we can analyze the user's current demand scenario, identify and extract the behavior timing information through the behavior recognition algorithm, and obtain the user's key behavior information, focusing on the most likely user needs to avoid redundant information processing. The specific smart home state involved in the user's current key behavior can also indirectly reflect the user's needs. On this basis, through the scene recognition model, the local demand scenario corresponding to the user's current demand is determined, and the local demand scenario is marked with a unique identifier through the unique identifier encoding technology to facilitate subsequent scene reuse. Through the feature vector conversion model, the analyzed user's needs for each smart home device in the local demand scenario are converted into the corresponding feature vector, and the scene identifier is used as the index. According to several feature vectors, a scene demand feature vector set corresponding to different local demand scenarios is constructed, and the scene demand feature vector set is used as the user demand information.

[0100] Through this solution, the behavior timing information, user key behavior information and the status of the equipment involved are analyzed to determine the local demand scenario, and combined with the scenario identifier, a scene demand feature vector set is constructed, and the scene demand feature vector set is used as the user demand information, so that the user's specific needs for some smart home devices in the local scenario can be described through mathematical language, providing a scientific data framework for the construction of the smart home network.

[0101] In some embodiments, based on the device identification set, the device feature vector set is analyzed to determine several device feature vectors and the corresponding number of device features for each smart home device; based on the scene requirement feature vector set, the total number of scene requirement features is determined; based on the scene requirement feature vector set, the real-time scene correlation of each smart home device is determined according to the total number of scene requirement features, the number of device features and several device feature vectors; the real-time scene correlation is compared with a preset correlation threshold, and if the real-time scene correlation is greater than the preset correlation threshold, the corresponding smart home device is determined as a scene core home node; based on several scene core home nodes, a scene core home node set is constructed.

[0102] The smart home information set includes a device feature vector set and a device identification set.

[0103] The device identification set may be a set including unique identifiers of different smart home devices.

[0104] The device feature vector set may be a collection of vectors representing functional features of smart home devices, and the device feature vector set may be obtained by analyzing and converting device function information through a feature vector conversion model.

[0105] The total number of scenario requirement features may be the total number of scenario requirement feature vectors in the scenario requirement feature vector set.

[0106] The real-time scene correlation degree may be the correlation degree between the device feature vector corresponding to the smart home device and the scene requirement feature vector.

[0107] The preset correlation threshold may be a correlation threshold required to determine whether there is a strong correlation between the device feature vector and the scene requirement feature. The preset correlation threshold may be obtained by analyzing correlation experimental data.

[0108] Specifically, after determining the specific needs of the user, it is necessary to match several smart home appliances in the home that can cooperate with each other to meet the specific needs of the user. The functional characteristics of different smart home devices are converted into corresponding feature vectors through a feature vector conversion model to make the functional characteristics of the smart home devices comparable with the user needs. Through mathematical analysis, the degree of correlation between the feature vectors of different devices and the feature vectors representing the user needs in the scene demand feature vector set is analyzed to obtain the real-time scene correlation between each smart home device and the user's current local demand scene. The real-time scene correlation is compared with a preset correlation threshold. If the real-time scene correlation is greater than the preset correlation threshold, it means that the corresponding smart home device needs to be called to meet the user's needs in the current local demand scene. The corresponding smart home device is determined as a scene core home node, and based on the obtained several scene core home nodes, the scene core home node set is constructed to accurately locate the corresponding smart home device that meets the specific needs of the user in the current local demand scene.

[0109] Through this solution, the correlation between the device feature vector representing the functional characteristics of the smart home device and the scene demand feature vector representing the specific needs of the user is analyzed to obtain the real-time scene correlation between each smart home device and the user's current local demand scene. Based on the comparison result of the real-time scene correlation and the preset correlation threshold, the corresponding smart home device that needs to be called in the current local demand scene is used as the scene core home node, and the scene core home node set is constructed based on this, which accurately locates the corresponding smart home device that meets the specific needs of the user in the current local demand scene, so that the scene core home node set can dynamically adapt to changes in user needs.

[0110] In some embodiments, based on the scene requirement feature vector set, the real-time scene relevance of each smart home device is determined according to the total number of scene requirement features, the number of device features, and a number of device feature vectors, specifically the following formula (1):

[0111] (1)

[0112] in, is the real-time scene relevance, is the first scenario requirement feature vector, For the The preset influence weight corresponding to the feature vector of the scenario requirement is For the The device corresponding to device feature vectors, is the total number of scene requirement features, is the number of device features.

[0113] The preset impact weight may be a weight value that reflects the proportion of the impact of the current scenario demand feature vector on the real-time scenario relevance assessment, and the preset impact weight may be obtained by analyzing historical data.

[0114] Specifically, through The numerator is constructed by taking the weighted inner product between each scene requirement feature vector and the corresponding device feature vector to reflect the matching degree between the device and the scene requirement, and combined with The dimensionless processing of the real-time scene correlation calculation is realized so that the denominator completes the normalization processing of the numerator, ensuring that the obtained real-time scene correlation is balanced and comparable.

[0115] Through this solution, mathematical analysis methods are used to scientifically quantify the real-time scene correlation that reflects the degree of match between smart home devices and user scene requirements based on the scene requirement feature vector set, the total number of scene requirement features, the number of device features and several device feature vectors through clear mathematical formulas, thereby improving the accuracy of the analysis process of the degree of match between smart home devices and user scene requirements.

[0116] In some embodiments, the smart home location information set is analyzed to determine the relative distance between any two smart home devices in the core home node set of the scene; based on the device parameter information set, the device interference source information set and the signal frequency corresponding to each smart home are extracted; based on the scene layout information, the structural interference sources in the scene are analyzed and extracted to determine a number of structural interference sources, the number of interference structures and the corresponding structural thickness; based on the scene layout information, a number of object interference sources and device interference sources are extracted, and the number of object interference sources, the object interference intensity corresponding to each object interference source, the number of device interference sources and the transmission signal intensity of each device interference source are analyzed to respectively construct an object interference source information set and an interference source information set; based on the device interference source information set and the object interference source information set, a composite interference factor is determined; based on the composite interference factor, according to the signal frequency, a number of structural interference sources, the number of interference structures and the structural thickness, the signal interference intensity between any two smart home devices in the core home node set of the scene is determined, and the interference information set is constructed based on this.

[0117] The smart home information set also includes the smart home location information set and the device parameter information set.

[0118] The smart home location information set may be a collection of specific distribution locations of smart home devices in the user's home.

[0119] The device parameter information set may be a set including a series of working parameters corresponding to each smart home device.

[0120] The signal frequency may be the signal frequency of a control signal sent by a smart home device, and the signal frequency may be obtained according to working parameters of the smart home device.

[0121] The structural interference source may be the interference source corresponding to the interference from the building structure encountered during the control signal transmission process, such as walls, doors and windows, etc. The structural interference source may be obtained by analyzing the scene layout information through an entity recognition algorithm.

[0122] The structural thickness may be the thickness corresponding to the building structure in the structural interference source.

[0123] The object interference source may be an interference source corresponding to the interference from the object encountered during the control signal transmission process, such as metal products, etc. The object interference source may be obtained by analyzing the scene layout information through an entity recognition algorithm.

[0124] The device interference source may be an interference source corresponding to the interference from other devices encountered during the control signal transmission process, such as home appliances, etc. The device interference source may be obtained by analyzing the scene layout information through an entity recognition algorithm.

[0125] The object interference strength may be a quantitative value reflecting the degree of interference of the object interference source on the control signal. The object interference strength may be obtained through signal interference experiments on objects of different materials.

[0126] The transmission signal strength may be a quantitative value reflecting the strength of the interference signal emitted by the device interference source, and the transmission signal strength may be obtained according to the operating parameters of each device.

[0127] The composite interference factor may be a mathematical factor that reflects the comprehensive degree of interference of objects and devices in the scene on signal transmission.

[0128] The signal interference strength may be a value reflecting the comprehensive interference strength encountered in the signal transmission process between smart home devices.

[0129] Specifically, when analyzing the interference in the signal transmission process between smart home devices, it is necessary to combine various factors in the scene. In addition to the influence of the smart home devices themselves, it is also necessary to consider the external interference caused by the building structure, objects placed in the scene and other devices that are prone to electromagnetic interference. Specifically, the relative distance between devices has an impact on signal attenuation. The greater the relative distance, the stronger the signal attenuation; the frequency of the transmitted signal directly affects the propagation distance and anti-interference ability of the signal. High-frequency signals usually have a smaller propagation range and are more susceptible to interference from obstacles, while low-frequency signals can penetrate obstacles, but the bandwidth will be limited; there are differences in the effect of the building structure material that the signal passes through during propagation on the attenuation of the signal. Metal materials usually reflect and absorb electromagnetic waves, increase signal interference, while the impact of wood and glass is relatively small. At the same time, the number and thickness of the interfering structure are also positively correlated with the signal attenuation rate; in addition to the building structure, other objects and equipment in the area where the transmission path is located will also interfere with the signal, thereby affecting the transmission of the signal.

[0130] Therefore, by screening and analyzing the smart home location information set, device parameter information set and scene layout information respectively, a number of relative distances, signal frequencies, structural interference sources, object interference sources and device interference sources are extracted. Through mathematical analysis, based on the influence of the smart home devices themselves and combined with various external interference sources, a comprehensive and scientific quantitative processing of the signal interference intensity between different smart home devices can be achieved, providing an accurate and solid data foundation for the subsequent optimization of the signal transmission process and thus improving the stability of signal transmission.

[0131] Through this solution, by screening and analyzing the smart home location information set, device parameter information set and scene layout information respectively, a number of relative distances, signal frequencies, structural interference sources, object interference sources and device interference sources are extracted. On the basis of the influence of the smart home devices themselves and combined with various external interference sources, the signal interference intensity between different smart home devices is analyzed, providing an accurate and solid data foundation for the subsequent optimization of the signal transmission process and thus improving the stability of signal transmission.

[0132] In some embodiments, based on the composite interference factor, the signal interference strength between any two smart home devices in the scene core home node set is determined according to the signal frequency, several structural interference sources and the number of interference structures, specifically the following formula (2):

[0133] (2)

[0134] in, For the Smart home devices and The signal interference strength between smart home devices For the Smart home devices and The relative distance between smart home devices, is the signal frequency corresponding to the smart home device currently transmitting the signal, is the speed of light, is the number of interference structures, For the The preset attenuation constant corresponding to the interference structure, For the The structural thickness of the interference structure, is the preset reference thickness, is the composite interference factor, is the information set of object interference sources, It is the device interference source information set.

[0135] The preset attenuation constant may be a preset quantitative value used to reflect the degree of influence of the interference structure material on signal attenuation.

[0136] The preset reference thickness may be the thickness of the interference structure corresponding to the peak of the signal attenuation effect. When the thickness of the interference structure reaches the preset reference thickness, the effect of the thickness on the signal attenuation tends to be stable.

[0137] Specifically, through formula (2) Describes the basic loss of signal propagation in free space. According to the characteristics of electromagnetic wave propagation, the propagation loss of the signal in the air is proportional to the signal frequency and propagation distance. The logarithmic form is used to facilitate the calculation and expression of the proportional relationship of the loss. Describes the attenuation effect of the signal when passing through different building structures on the propagation path. The change of thickness will affect the attenuation degree of the signal. The logarithm is used to match the nonlinear characteristics of attenuation with thickness. Provide a functional overview of the interference from external objects and other devices; combine the mathematical descriptions of the above three parts to accurately quantify the signal interference strength between different smart home devices.

[0138] Through this scheme, mathematical analysis methods are used, based on the composite interference factor, according to the signal frequency, several structural interference sources and the number of interference structures, and a clear mathematical formula is designed to scientifically quantify the signal interference intensity that reflects the comprehensive interference intensity of the signal transmission process between smart home devices, thereby improving the accuracy of the signal interference intensity analysis process.

[0139] In some embodiments, a composite interference factor is determined based on a device interference source information set and an item interference source information set, specifically the following formula (3):

[0140] (3)

[0141] in, is the composite interference factor, is the information set of object interference sources, is the device interference source information set, To preset the electromagnetic influence coefficient, is the number of interference sources, For the The item interference intensity of the item interference source, For the The distance between the interference source and the smart home device currently receiving the signal. is the interference influence coefficient of the preset equipment, is the number of interference sources of the device, For the The transmission signal strength of each device interference source, is the preset attenuation adjustment coefficient, For the The distance between the device interference source and the smart home device currently receiving the signal.

[0142] The preset device interference influence coefficient may be a mathematical coefficient reflecting the degree of influence of the device interference intensity on the composite interference factor, and the preset device interference influence coefficient may be obtained by fitting interference experimental data.

[0143] The preset attenuation adjustment coefficient may be a mathematical coefficient used to adjust the effect of distance on device interference attenuation. The preset attenuation adjustment coefficient may be obtained by fitting interference experimental data.

[0144] Specifically, through formula (3) Describes the combined interference from different objects during signal transmission. Since the energy of transmission decreases with increasing distance, this item uses To adjust the signal strength, and by introducing a preset electromagnetic influence coefficient , to adjust the overall item interference effect; at the same time, Describes the comprehensive interference from different equipment interference sources during signal transmission. Describes the characteristic that signal strength decays rapidly with increasing distance, and introduces the interference influence coefficient of preset equipment , adjust the attenuation rate of the interference signal, and finally quantify the composite interference factor.

[0145] Through this solution, mathematical analysis is used to design clear mathematical formulas based on the equipment interference source information set and the object interference source information set to accurately quantify the composite interference factor that reflects the degree of comprehensive interference of objects and equipment in the scene on signal transmission, thereby improving the scientificity and accuracy of the composite interference factor.

[0146] In some embodiments, several signal interference intensities in the interference information set are matched with a preset signal interference threshold. If the signal interference intensity is greater than the preset signal interference threshold, the corresponding smart home device is determined as a signal abnormality device; based on the scene layout information, the signal transmission path between several signal abnormality devices is extracted; based on the smart home location information set, several signal transmission paths are analyzed, and several smart home devices located in the area where the signal transmission path passes but are not in the scene core home node set are extracted, and a forwarding device node set is constructed based on this.

[0147] The preset signal interference threshold may be a corresponding signal interference intensity threshold that will significantly affect signal transmission stability, and the preset signal interference threshold may be obtained by fitting signal experimental data.

[0148] The signal abnormal device may be a corresponding smart home device whose signal transmission process stability is difficult to ensure.

[0149] The signal transmission path may be a path through which a control signal passes from a smart home device that transmits a signal to a smart home device that receives a signal.

[0150] The area through which the signal transmission path passes may be an area radiated during the process of the control signal being transmitted through the signal transmission path.

[0151] Specifically, when a control signal sent by a smart home device is transmitted to another smart home device, if the signal interference intensity of the control signal is greater than the preset signal interference threshold, it means that the stability of the transmission process is difficult to guarantee, and signal delay or even signal loss is prone to occur. At this time, other smart home devices need to be introduced as signal transfer nodes. In the absence of external interference, the radiation range of the wireless signal is usually circular with the signal transmitting device as the center. When there is obvious interference, the area passed by the signal transmission path is divided based on the circular radiation range according to the different interference intensities presented in the scene layout information, and then a number of smart home devices located in the area where the signal transmission path passes but not in the scene core home node set are extracted, and a forwarding device node set is constructed based on this. These smart home devices do not participate in the process of solving the user's current needs, but are only responsible for signal forwarding. While ensuring stable signal transmission, they will not interfere with several smart home devices in the scene core home node set.

[0152] Through this solution, when the signal interference intensity is greater than the preset signal interference threshold, the signal transmission path between the signal abnormal devices is extracted according to the scene layout information, and a forwarding device node set is constructed based on a number of smart home devices located in the area where the signal transmission path passes but not in the scene core home node set. While ensuring stable signal transmission, it does not interfere with a number of smart home devices in the scene core home node set.

[0153] In some embodiments, in the process of signal forwarding using smart home devices in a forwarding device node set, real-time signal information is obtained; based on the real-time signal information, the real-time signal information is analyzed for integrity compliance; if the integrity of the real-time signal information does not meet the standards, the forwarding device node corresponding to the most recent time the integrity of the real-time signal information met the standards is extracted, and it is determined as the transit departure node; based on the forwarding device node set and according to the transit departure node, the signal transmission path is dynamically planned to determine the dynamic signal transmission path.

[0154] The real-time signal information may be the real-time signal content when the signal reaches each node during the signal transmission process.

[0155] Integrity compliance analysis can be the process of analyzing the integrity of a signal to prevent signal loss.

[0156] The transit departure node may be a signal starting node when planning a new signal transmission path in the event of signal loss on the original signal transmission path.

[0157] The dynamic signal transmission path may be a new signal transmission path dynamically planned to avoid the signal loss problem.

[0158] Specifically, in the process of signal forwarding using the smart home devices in the forwarding device node set, it is difficult to avoid the smart home devices corresponding to the forwarding device nodes from experiencing emergencies and causing signal integrity to be damaged. Therefore, in the process of signal forwarding, the integrity of the currently received real-time signal information is checked for integrity through the signal verification rules specified in the internal communication protocol of each smart home device. If the integrity meets the standard, it is forwarded to the next smart home device. If the integrity does not meet the standard, the integrity check is backtracked to extract the forwarding device node corresponding to the most recent time the integrity of the real-time signal information met the standard, and use it as the transit departure node to reduce the signal retransmission cost and delay. The position of the transit departure node is used as the new signal transmission node position, and the position of the smart home device that receives the signal is used as the target node position of the signal. Through the method of the aforementioned embodiment, the transit nodes are replanned to construct a dynamic signal transmission path.

[0159] Through this solution, in the process of signal forwarding using smart home devices in the forwarding device node set, the integrity of the real-time signal information is analyzed. When the integrity of the real-time signal information does not meet the standard, the forwarding device node corresponding to the most recent time the integrity of the real-time signal information met the standard is used as the transit departure node. In combination with the forwarding device node set, a dynamic signal transmission path that can ensure the stability of signal transmission is re-planned to avoid damage to the signal integrity caused by sudden situations in the smart home devices corresponding to the forwarding device nodes, thereby improving the reliability of the signal transmission process.

[0160] Figure 3 A schematic diagram of a 5G-based smart home device interconnection platform provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, a 5G-based smart home device interconnection platform 300 of this embodiment includes: a demand analysis module 301, a core node analysis module 302, an interference analysis module 303, a forwarding node analysis module 304 and a network construction module 305.

[0161] The demand analysis module 301 is used to obtain user scenario information, analyze the user scenario information, and determine user demand information;

[0162] The core node analysis module 302 is used to obtain a smart home information set, analyze the smart home information set according to the user demand information, and determine a scene core home node set;

[0163] The interference analysis module 303 is used to obtain scene layout information, and perform signal transmission analysis on the scene core home node set according to the scene layout information and the smart home information set to determine the interference information set;

[0164] A forwarding node analysis module 304, configured to determine a forwarding device node set based on the smart home information set and the interference information set;

[0165] The network construction module 305 is used to construct a dynamic smart home network according to the scene core home node set and the forwarding device node set.

[0166] Optionally, the demand analysis module 301 is specifically used to:

[0167] Based on the behavior time sequence information, analyzing the user's key behavior information and the device status involved, and determining a local demand scenario;

[0168] According to the local demand scenario, a scenario identifier is determined, and a scenario demand feature vector set is constructed based on the identifier;

[0169] The scenario requirement feature vector set is used as the user requirement information.

[0170] Optionally, the core node analysis module 302 is specifically used to:

[0171] Based on the device identification set, analyzing the device feature vector set, determining a number of device feature vectors and a corresponding number of device features for each smart home device;

[0172] Determining the total number of scenario requirement features according to the scenario requirement feature vector set;

[0173] Based on the scene requirement feature vector set, determining the real-time scene relevance of each smart home device according to the total number of scene requirement features, the number of device features and a number of the device feature vectors;

[0174] Comparing the real-time scene correlation with a preset correlation threshold, if the real-time scene correlation is greater than the preset correlation threshold, determining the corresponding smart home device as a scene core home node;

[0175] According to the plurality of the scene core home nodes, the scene core home node set is constructed.

[0176] Optionally, when the core node analysis module 302 determines the real-time scene relevance of each smart home device based on the scene requirement feature vector set, according to the total number of scene requirement features, the number of device features, and a number of device feature vectors, the formula is specifically as follows:

[0177] ;

[0178] in, is the real-time scene association degree, is the first scenario requirement feature vector, For the The preset influence weight corresponding to the feature vector of the scenario requirement is For the The device corresponding to The device feature vector, is the total number of required features for the scenario, is the number of device features.

[0179] Optionally, the interference analysis module 303 is specifically used to:

[0180] Analyze the smart home location information set to determine the relative distance between any two smart home devices in the scene core home node set;

[0181] Extracting a device interference source information set and a signal frequency corresponding to each smart home according to the device parameter information set;

[0182] Analyze and extract structural interference sources in the scene according to the scene layout information, and determine a number of structural interference sources, the number of interfering structures, and the corresponding structural thicknesses;

[0183] According to the scene layout information, a number of object interference sources and device interference sources are extracted, and the number of object interference sources, the object interference intensity corresponding to each object interference source, the number of device interference sources and the transmission signal intensity of each device interference source are analyzed to respectively construct an object interference source information set and an interference source information set;

[0184] Determining a composite interference factor according to the device interference source information set and the item interference source information set;

[0185] Based on the composite interference factor, the signal interference intensity between any two smart home devices in the core home node set of the scene is determined according to the signal frequency, several structural interference sources, the number of interference structures and the structural thickness, and the interference information set is constructed based on this.

[0186] Optionally, when the interference analysis module 303 determines the signal interference intensity between any two smart home devices in the scene core home node set based on the composite interference factor, according to the signal frequency, the plurality of structural interference sources and the number of interference structures, the specific formula is as follows:

[0187] ;

[0188] in, For the Smart home devices and The signal interference strength between smart home devices, For the Smart home devices and The relative distances between the smart home devices, is the signal frequency corresponding to the smart home device currently transmitting the signal, is the speed of light, is the number of interference structures, For the The preset attenuation constant corresponding to the interference structure, For the the structure thickness of the interfering structure, is the preset reference thickness, is the composite interference factor, is the interference source information set of the item, is an interference source information set of the device.

[0189] Optionally, when the interference analysis module 303 determines the composite interference factor according to the device interference source information set and the item interference source information set, it is specifically the following formula:

[0190] ;

[0191] in, is the composite interference factor, is the interference source information set of the item, is the device interference source information set, To preset the electromagnetic influence coefficient, is the number of interference sources of the item, For the The item interference intensity of the item interference source, For the The distance between the interference source and the smart home device currently receiving the signal. is the interference influence coefficient of the preset equipment, is the number of interference sources for the device, For the The transmission signal strength of each device interference source, is the preset attenuation adjustment coefficient, For the The distance between the device interference source and the smart home device currently receiving the signal.

[0192] Optionally, the forwarding node analysis module 304 is specifically configured to:

[0193] Matching the signal interference strengths in the interference information set with a preset signal interference threshold, and if the signal interference strength is greater than the preset signal interference threshold, determining the corresponding smart home device as a signal abnormality device;

[0194] Based on the scene layout information, extracting signal transmission paths between a number of signal abnormal devices;

[0195] Based on the smart home location information set, several signal transmission paths are analyzed, and several smart home devices located in the area where the signal transmission path passes but not in the core home node set of the scene are extracted, and the forwarding device node set is constructed based on this.

[0196] Optionally, the system 300 further includes a path resetting module 306, which is specifically configured to:

[0197] In the process of forwarding signals by using the smart home devices in the forwarding device node set, real-time signal information is obtained;

[0198] According to the real-time signal information, the real-time signal information is analyzed for integrity compliance. If the integrity of the real-time signal information does not meet the standards, a forwarding device node corresponding to the most recent time the integrity of the real-time signal information met the standards is extracted, and the forwarding device node is determined as a transit departure node;

[0199] Based on the forwarding device node set and according to the transit departure node, the signal transmission path is dynamically planned to determine a dynamic signal transmission path.

[0200] The platform of this embodiment can be used to execute the method of any of the above embodiments, and its implementation principles and technical effects are similar and will not be repeated here.

Claims

1. A 5G-based smart home device interconnection method, characterized in that: include: Acquire user scenario information, analyze the user scenario information, and determine user demand information; Acquire a smart home information set, analyze the smart home information set according to the user demand information, and determine a scene core home node set; Acquire scene layout information, and perform signal transmission analysis on the scene core home node set according to the scene layout information and the smart home information set to determine an interference information set; Based on the smart home information set, and according to the interference information set, determining a forwarding device node set; Building a dynamic smart home network according to the scene core home node set and the forwarding device node set; The user scenario information includes user key behavior information, behavior timing information, and related device states. The analyzing the user scenario information to determine the user demand information includes: Based on the behavior time sequence information, analyzing the user's key behavior information and the device status involved, and determining a local demand scenario; According to the local demand scenario, a scenario identifier is determined, and a scenario demand feature vector set is constructed based on the identifier; Using the scene requirement feature vector set as the user requirement information; The smart home information set includes a device feature vector set and a device identification set. The step of analyzing the smart home information set according to the user demand information to determine a scene core home node set includes: Based on the device identification set, analyzing the device feature vector set, determining a number of device feature vectors and a corresponding number of device features for each smart home device; Determining the total number of scenario requirement features according to the scenario requirement feature vector set; Based on the scene requirement feature vector set, determining the real-time scene relevance of each smart home device according to the total number of scene requirement features, the number of device features and a number of the device feature vectors; Comparing the real-time scene correlation with a preset correlation threshold, if the real-time scene correlation is greater than the preset correlation threshold, determining the corresponding smart home device as a scene core home node; According to the plurality of the scene core home nodes, construct the scene core home node set; Based on the scene requirement feature vector set, the real-time scene relevance of each smart home device is determined according to the total number of scene requirement features, the number of device features and a number of device feature vectors, specifically the following formula: ； in, is the real-time scene association degree, is the first scenario requirement feature vector, For the The preset influence weight corresponding to the feature vector of the scenario requirement is For the The device corresponding to The device feature vector, is the total number of required features for the scenario, is the number of device features.

2. The method according to claim 1, characterized in that The smart home information set further includes a smart home location information set and a device parameter information set. The signal transmission analysis of the scene core home node set is performed according to the scene layout information and the smart home information set to determine the interference information set, including: Analyze the smart home location information set to determine the relative distance between any two smart home devices in the scene core home node set; Extracting a device interference source information set and a signal frequency corresponding to each smart home according to the device parameter information set; Analyze and extract structural interference sources in the scene according to the scene layout information, and determine a number of structural interference sources, the number of interfering structures, and the corresponding structural thicknesses; According to the scene layout information, a number of object interference sources and device interference sources are extracted, and the number of object interference sources, the object interference intensity corresponding to each object interference source, the number of device interference sources and the transmission signal intensity of each device interference source are analyzed to respectively construct an object interference source information set and an interference source information set; Determining a composite interference factor according to the device interference source information set and the item interference source information set; Based on the composite interference factor, the signal interference intensity between any two smart home devices in the core home node set of the scene is determined according to the signal frequency, several structural interference sources, the number of interference structures and the structural thickness, and the interference information set is constructed based on this.

3. The method according to claim 2, characterized in that Based on the composite interference factor, the signal interference intensity between any two smart home devices in the scene core home node set is determined according to the signal frequency, the plurality of structural interference sources and the number of interference structures, specifically the following formula: ； in, For the Smart home devices and The signal interference strength between smart home devices, For the Smart home devices and The relative distances between the smart home devices, is the signal frequency corresponding to the smart home device currently transmitting the signal, is the speed of light, is the number of interference structures, For the The preset attenuation constant corresponding to the interference structure, For the the structure thickness of the interfering structure, is the preset reference thickness, is the composite interference factor, is the interference source information set of the item, is an interference source information set of the device.

4. The method according to claim 3, characterized in that The composite interference factor is determined according to the device interference source information set and the item interference source information set, specifically the following formula: ； in, is the composite interference factor, is the interference source information set of the item, is the device interference source information set, To preset the electromagnetic influence coefficient, is the number of interference sources of the item, For the The item interference intensity of the item interference source, For the The distance between the interference source and the smart home device currently receiving the signal. is the interference influence coefficient of the preset equipment, is the number of interference sources for the device, For the The transmission signal strength of each device interference source, is the preset attenuation adjustment coefficient, For the The distance between the device interference source and the smart home device currently receiving the signal.

5. The method according to claim 4, characterized in that The step of determining a forwarding device node set based on the smart home information set and according to the interference information set includes: Matching the signal interference strengths in the interference information set with a preset signal interference threshold, and if the signal interference strength is greater than the preset signal interference threshold, determining the corresponding smart home device as a signal abnormality device; Based on the scene layout information, extracting signal transmission paths between a number of signal abnormal devices; Based on the smart home location information set, several signal transmission paths are analyzed, and several smart home devices located in the area where the signal transmission path passes but not in the core home node set of the scene are extracted, and the forwarding device node set is constructed based on this.

6. The method according to claim 5, characterized in that The method further comprises: In the process of forwarding signals by using the smart home devices in the forwarding device node set, real-time signal information is obtained; According to the real-time signal information, the real-time signal information is analyzed for integrity compliance. If the integrity of the real-time signal information does not meet the standards, a forwarding device node corresponding to the most recent time the integrity of the real-time signal information met the standards is extracted, and the forwarding device node is determined as a transit departure node; Based on the forwarding device node set and according to the transit departure node, the signal transmission path is dynamically planned to determine a dynamic signal transmission path.

7. A 5G-based smart home device interconnection platform, characterized in that: The method as claimed in any one of claims 1 to 6 comprises: A demand analysis module is used to obtain user scenario information, analyze the user scenario information, and determine user demand information; A core node analysis module is used to obtain a smart home information set, analyze the smart home information set according to the user demand information, and determine a scene core home node set; An interference analysis module, used to obtain scene layout information, and perform signal transmission analysis on the scene core home node set according to the scene layout information and the smart home information set to determine an interference information set; A forwarding node analysis module, configured to determine a forwarding device node set based on the smart home information set and the interference information set; The network construction module is used to construct a dynamic smart home network based on the scene core home node set and the forwarding device node set.

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