Distributed communication integration verification method for smart home

Abstract

The invention discloses a distributed communication integration verification method for smart home, and particularly relates to the field of smart home. Comprising the steps of S1, monitoring and collecting corresponding signals of the smart home, S2, positioning an interference source, S3, intelligently inhibiting the interference source, S4, adapting and expanding a communication protocol, S5, analyzing distributed data, S6, evaluating and monitoring the performance of the smart home, and S7, optimizing the organization structure of the smart home. According to the distributed communication integration verification method for the smart home, the position of an interference source which generates signal interference when multiple intelligent devices operate at the same time is accurately positioned through signal positioning operation, and communication interruption between the devices caused by signal interference is effectively solved; communication between smart home devices is verified by establishing a protocol compatibility matrix, and effective communication between different protocol devices is ensured; distributed processing is carried out based on the first signal integration information, and efficient communication and data processing under the condition of large-scale equipment networking are guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of smart home technology, and more specifically, to a distributed communication integrated verification method for smart home. Background Art

[0002] With the rapid development of artificial intelligence and Internet of Things technologies, various smart devices are constantly pouring into family life, from smart door locks, smart lighting systems to smart home appliances, etc., which are interconnected through different communication methods and use machine learning for intelligent analysis, including positioning, prediction and scheduling, thereby realizing smart life scenarios such as home security defense, special care for the elderly and children, and home environment management.

[0003] The smart home system stores the massive data generated and collected in real time by the home IoT in the cloud and on the edge, and uses machine learning to intelligently analyze the data to ensure accurate information exchange between smart devices, so that the commands issued by users can be executed quickly and accurately, thereby intelligently controlling and managing home energy and reducing waste.

[0004] However, in actual use, it still has some shortcomings. For example, when multiple smart devices are running at the same time, signal interference occurs, resulting in communication interruption and data transmission delay between devices; there is a lag in the verification of seamless communication integration between new and old devices and different protocols; when faced with large-scale device networking communications, it lacks sufficient scalability and is difficult to meet the needs of users for an increasing number of smart devices. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, the present invention provides a distributed communication integrated verification method and system for smart home, and solves the problems raised in the above-mentioned background technology through the following scheme.

[0006] To achieve the above object, the present invention provides the following technical solutions: A distributed communication integrated verification method for smart home, characterized by comprising: S1: monitoring and collecting corresponding signals of smart home: real-time monitoring of the signal status of smart devices in the smart home environment when they are running, and collecting the signals sent and received by the smart devices to obtain the first communication signal; S2: Locating the interference source: performing a signal locating operation on the first communication signal corresponding to the signal abnormality, the signal locating operation is used to obtain the second communication signal; S3: Intelligently suppress interference sources: obtain an intelligent anti-interference model, and obtain second signal integration information corresponding to the second communication signal through the second communication signal in the interference source positioning module according to the intelligent anti-interference model; S4: Adapting and extending the communication protocol: identifying the device protocol corresponding to the first communication signal, and optimizing and adjusting the protocol based on the second signal integration information corresponding to the second communication signal to obtain the first signal integration information; S5: Analyze distributed data: Distribute the integrated information of the first signal and obtain a third communication signal based on the overall architecture and operation requirements of the smart home; S6: Evaluate and monitor smart home performance: obtain a smart performance evaluation model, and obtain third signal integration information corresponding to the third communication signal through the third communication signal in the distributed data processing module according to the smart performance evaluation model; S7: Optimize the smart home organizational structure: Perform dynamic verification based on the third signal integration information to verify the performance of the smart home architecture and optimize it.

[0007] Preferably, the step S2, obtaining a second communication signal, specifically includes: Perform signal positioning operations according to the abnormality type corresponding to the abnormal characteristics and the layout characteristics and distribution of smart home devices. The signal positioning operations include positioning based on signal arrival time difference, signal strength indication positioning, and arrival angle positioning; Determine the configuration parameters in the positioning technology, which include the location coordinates of each monitoring point, the communication signal propagation speed, and the conversion parameters between the signal strength and the distance of the monitoring point.

[0008] Preferably, the step S2, obtaining a second communication signal, specifically includes: The signal positioning operation is performed based on the signal arrival time difference positioning. According to the signal abnormality corresponding to the first communication signal, that is, the abnormality type corresponding to the abnormal feature, the communication signal transmission timestamp when the communication signal arrives at each monitoring point is extracted. Based on the transmission time t of the communication signal from the monitoring point n to the monitoring point m, the transmission time t m , and the transmission time t of the communication signal from monitoring point m to monitoring point n n , calculate the signal arrival time difference Δt between monitoring point n and monitoring point m mn , specifically expressed as: Δt mn =|t m -t n |, Among them, n and m represent the indexes of different monitoring points, |t m -t n | is expressed as the absolute value of the signal arrival time difference; Based on the position coordinates n (x n ,y n , z n ), the position coordinates of the monitoring point m (x m ,ym , z m ), communication signal propagation speed v, and the signal arrival time difference Δt between monitoring point n and monitoring point m mn , obtain the interference source coordinate objective function F(IS(X, Y, Z)), which is specifically expressed as: F(IS(X,Y,Z))=F mpn 2 (m, n)+F mpn-1 2 (m, n)+…+F1 2 (m, n), Among them, mpn represents the total number of interference source estimation functions, and the value of mpn is C pn 2 , pn represents the total number of monitoring points, that is, the number of combinations of 2 monitoring points taken from the total number of monitoring points pn, and F(m,n) represents the interference source estimation function between monitoring points n and m, which is specifically expressed as: , Wherein, X, Y, and Z represent the coordinate positions of the interference source IS respectively.

[0009] Preferably, the step S3, obtaining the second signal integration information, specifically includes: Performing matching analysis on the second communication signal to obtain interference source features corresponding to the second communication signal, where the interference source features are target key features corresponding to the interference source in the second communication signal, and the target key features include interference source type, interference intensity, interference source coordinates, and device identifier to which the interference source belongs; In a preset communication integrated database, an intelligent anti-interference model corresponding to the interference source characteristics is obtained, and the preset communication integrated database is used to store the corresponding relationship between the interference source characteristics and the intelligent anti-interference model.

[0010] Preferably, the step S4, obtaining the first signal integration information, specifically includes: Establish a protocol compatibility matrix based on the acquired device protocol type and version number. The protocol compatibility matrix is ​​based on a large number of experimental tests and the compatibility relationship between the specific protocols and versions used by the current devices; Verify communications between smart home devices through a protocol compatibility matrix; Performing a protocol optimization and adjustment strategy according to the second signal integration information, the protocol optimization and adjustment strategy including standardizing the protocol format, modifying the protocol data format, conversion rules, adjusting communication parameters, and replacing the protocol conversion plug-in; In a preset communication integrated database, a protocol optimization adjustment strategy corresponding to the protocol compatibility matrix is ​​obtained. The preset communication integrated database is used to store the corresponding relationship between the protocol compatibility matrix and the protocol optimization adjustment strategy.

[0011] Preferably, the step S5, obtaining a third communication signal, specifically includes: Performing distributed processing based on the first signal integration information, the distributed processing including data partition analysis, parallel processing analysis, and load balancing analysis; The first signal integration information corresponding to the distributed processing is integrated to obtain a third communication signal.

[0012] Preferably, the step S5, obtaining a third communication signal, specifically includes: Distributed processing is performed using data partitioning, and a classification operation is performed according to the first signal integration information to obtain an allocation rule corresponding to the first signal integration information, where the allocation rule is a target processing partition corresponding to the first signal integration information, and the target processing partition includes device control instructions, device status feedback data, and multimedia data; By using parallel processing for distributed processing, the device communication stability verification task is decomposed into a plurality of subtasks according to the first signal integration information, and verification is performed for different groups of smart home devices; Decompose the data transmission efficiency calculation task into multiple subtasks, each subtask is responsible for calculating the data transmission efficiency between specific devices; Summarize the analysis results of subtasks; Use load balancing for distributed processing, and continuously monitor and analyze the load of each processing node, including the current processing task volume, available resources, and network bandwidth usage of the processing node; An allocation operation is performed based on the load monitoring result and the first signal integration information, and the allocation operation is determined based on the remaining available resources of the processing node, the current processing task volume, and the network bandwidth.

[0013] Preferably, the step S6, obtaining third signal integration information corresponding to the third communication signal, specifically includes: According to the third communication signal, the performance index corresponding to the third communication signal is calculated by the intelligent performance evaluation model, and the performance index includes the device connection success rate, the data transmission rate, and the average response time. The actual calculated value of the performance index is compared and analyzed with the preset standard value; Comprehensively evaluate the relationship between multiple performance indicators; The third communication signal is received regularly, and the performance index corresponding to the third communication signal is calculated by the intelligent performance evaluation model to obtain the change of the performance index, so as to obtain the third signal integrated information.

[0014] To achieve the above object, the present invention provides the following technical solution: a distributed communication integrated verification system for smart home, including a system operation database, a system central processing module and a user information terminal, and implementing the above-mentioned distributed communication integrated verification method for smart home, including: Signal monitoring and acquisition module: used to monitor the signal status of smart devices in the smart home environment in real time when they are running, and collect the signals sent and received by the smart devices to obtain the first communication signal; Interference source positioning module: used to perform signal positioning operation on the abnormal signal corresponding to the first communication signal in the signal monitoring and acquisition module, and the signal positioning operation is used to obtain the second communication signal; Intelligent interference suppression module: used to obtain an intelligent anti-interference model, and obtain second signal integration information corresponding to the second communication signal through the second communication signal in the interference source positioning module according to the intelligent anti-interference model; Protocol adaptation and expansion module: used to identify the device protocol corresponding to the first communication signal in the signal monitoring and acquisition module, and optimize and adjust the protocol based on the second signal integration information corresponding to the second communication signal in the intelligent interference suppression module to obtain the first signal integration information; Distributed data processing module: used for distributed processing of the first signal integrated information in the protocol adaptation and extension module, and obtaining a third communication signal based on the overall architecture and operation requirements of the smart home; Smart home performance monitoring module: used to obtain a smart performance evaluation model, and obtain third signal integration information corresponding to the third communication signal through the third communication signal in the distributed data processing module according to the smart performance evaluation model; Organizational architecture optimization module: used to perform dynamic verification based on the third signal integration information in the smart home performance monitoring module to verify the performance of the smart home architecture and optimize it; The system operation database includes all data texts of the smart home distributed communication integrated verification system, and collects the information text output by each module in real time. The system central processing module is used for the information text instructions output by each module in the central control method, and the user information terminal is an information output device for receiving the smart home distributed communication integrated verification system.

[0015] Technical effects and advantages of the present invention: The present invention uses signal positioning operations to accurately locate the interference source that generates signal interference when multiple smart devices are running simultaneously, effectively solving the problem of communication interruption between devices caused by signal interference. The present invention establishes a protocol compatibility matrix to verify the communication between smart home devices, and optimizes the adjustment strategy to obtain the first signal integration information to ensure effective communication between devices with different protocols; The present invention meets the needs of users for increasing the number of smart devices by performing distributed processing based on the first signal integrated information, and ensures efficient communication and data processing in large-scale device networking. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a diagram of the method steps of the present invention.

[0017] Figure 2 The figure is a flow chart of the method of the present invention.

[0018] Figure 3 It is a schematic diagram of the structure of the method of the present invention.

[0019] Explanation of the accompanying drawings: 300, a schematic diagram of a system processing structure corresponding to a distributed communication integrated verification method for smart home; 301, system central processing unit; 302, communication bus; 303, system database; 304, user information terminal. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to and includes any or all possible combinations of one or more listed items.

[0022] In the following, the terms "first", "second", and "third" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", and "third" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0023] As attached Figure 1A distributed communication integrated verification method for smart home shown in the figure includes S1: monitoring and collecting corresponding signals of smart home, S2: locating interference sources, S3: intelligently suppressing interference sources, S4: adapting and expanding communication protocols, S5: analyzing distributed data, S6: evaluating and monitoring smart home performance, and S7: optimizing the organizational structure of smart home.

[0024] S1: Monitor and collect corresponding signals of smart home: monitor the signal status of smart devices in the smart home environment in real time when they are running, and collect the signals sent and received by the smart devices to obtain the first communication signal.

[0025] Specifically, the smart home distributed communication integrated verification system deploys key monitoring points based on the layout characteristics and distribution of smart home devices. The key monitoring points are equipped with corresponding monitoring equipment, which includes but is not limited to signal monitors, smart gateways, etc.; by initializing the monitoring equipment set at the key monitoring points, the initialization operation includes but is not limited to setting the monitoring frequency range, setting the sampling interval, specifying the data storage format, etc., so as to monitor the signal status of the smart devices in the smart home environment in real time during operation, and obtain the first communication signal, which includes the communication signal strength of each smart home device, the communication signal frequency of each smart home device, the communication signal waveform of each smart home device, the identification of each smart home device, and the communication signal transmission timestamp of each smart home device.

[0026] In one possible implementation, obtaining the first communication signal includes: monitoring the operating status of smart home devices in the smart home environment in real time through an initialized monitoring device, classifying and organizing the raw data collected by the monitoring device according to three dimensions of device, time, and signal characteristics to form a structured data format; obtaining the first communication signal and storing it in a preset integrated verification database, comparing it with a large amount of historical data, and preliminarily determining the abnormality of the raw data collected in real time.

[0027] Specifically, if the first communication signal collected and sorted in real time is preliminarily judged to have an abnormal situation, S2 is implemented to perform a signal positioning operation on the signal abnormal situation corresponding to the first communication signal; if the first communication signal collected and sorted in real time is preliminarily judged to have no abnormal situation, S4 is directly implemented to identify the device protocol corresponding to the first communication signal, and optimize and adjust the protocol based on the second signal integration information corresponding to the second communication signal to obtain the first signal integration information.

[0028] In this embodiment, if the signal strength suddenly drops significantly when a smart home device communicates with another smart home device, it is determined that there is an interference factor between the two, causing the signal attenuation to increase.

[0029] S2: Locate the interference source: perform a signal locating operation on the first communication signal corresponding to the signal abnormality, and the signal locating operation is used to obtain the second communication signal.

[0030] Specifically, the smart home distributed communication integrated verification system preliminarily determines that there is an abnormality in the first communication signal collected and sorted in real time, and obtains the second communication signal through signal positioning operation. The second communication signal includes the coordinate position of the interference source, the smart device identification corresponding to the interference source, and the abnormal type of the interference source.

[0031] In one possible implementation, obtaining the second communication signal includes: receiving abnormal signal data in the original data format corresponding to the first communication signal, using a cyclic redundancy check (CRC) algorithm to identify and extract abnormal features corresponding to the abnormal signal data; classifying and sorting the abnormal features to obtain the abnormal type corresponding to the abnormal features, the abnormal type being the signal abnormality corresponding to the first communication signal, and the signal abnormality including abnormal intensity drop, abnormal frequency drift, abnormal waveform distortion, abnormal smart device identification, and the time when the abnormality occurs.

[0032] In a possible implementation, obtaining the second communication signal also includes: performing a signal positioning operation according to the abnormality type corresponding to the abnormal feature and the layout characteristics and distribution of the smart home device, the signal positioning operation including positioning based on signal arrival time difference, signal strength indication positioning, and arrival angle positioning; determining configuration parameters in the positioning technology, the configuration parameters including the position coordinates of each monitoring point, the communication signal propagation speed, and the conversion parameters between the signal strength and the distance from the monitoring point.

[0033] In this embodiment, the signal abnormality corresponding to the first communication signal, that is, the abnormality type corresponding to the abnormal feature, obtains the time information of the signal arriving at different monitoring points, and requires positioning of a specific smart device, then the signal positioning operation is selected based on the signal arrival time difference positioning.

[0034] In this embodiment, when the signal positioning operation is performed by signal strength indication positioning, the conversion parameter SSD between the determined signal strength and the distance is specifically expressed as: SSD = A-(10×n×log 10 d) +ND, Where A represents the communication signal strength when d = 1 meter, n represents the path loss index, and its value range is (2, 6), d represents the distance of the monitoring point, and ND represents the smart home environment impact factor, and its average value is 0.

[0035] Specifically, the signal positioning operation is performed based on the signal arrival time difference positioning. According to the signal abnormality corresponding to the first communication signal, that is, the abnormality type corresponding to the abnormal feature, the communication signal transmission timestamp when the communication signal arrives at each monitoring point is extracted. Based on the transmission time t of the communication signal from the monitoring point n to the monitoring point m, the transmission time t m , and the transmission time t of the communication signal from monitoring point m to monitoring point n n , calculate the signal arrival time difference Δt between monitoring point n and monitoring point m mn , specifically expressed as: Δt mn =|t m -t n |, Among them, n and m represent the indexes of different monitoring points, |t m -t n | is expressed as the absolute value of the signal arrival time difference; Based on the position coordinates n (x n ,y n , z n ), the position coordinates of the monitoring point m (x m ,y m , z m ), communication signal propagation speed v, and the signal arrival time difference Δt between monitoring point n and monitoring point m mn , obtain the interference source coordinate objective function F(IS(X, Y, Z)), which is specifically expressed as: F(IS(X,Y,Z))=F mpn 2 (m, n)+F mpn-1 2 (m, n)+…+F1 2 (m, n), Among them, mpn represents the total number of interference source estimation functions, and the value of mpn is C pn 2 , pn represents the total number of monitoring points, that is, the number of combinations of 2 monitoring points taken from the total number of monitoring points pn, and F(m,n) represents the interference source estimation function between monitoring points n and m, which is specifically expressed as: , Wherein, X, Y, and Z represent the coordinate positions of the interference source IS respectively.

[0036] In this embodiment, the coordinate positions of multiple interference sources IS are obtained by combining multiple interference source estimation functions and interference source coordinate target functions in pairs. If the solved position coordinates are located inside the wall and do not conform to the actual situation, they are excluded and the interference source position coordinates that conform to the actual situation are screened out.

[0037] S3: Intelligently suppress interference sources: obtain an intelligent anti-interference model, and obtain second signal integration information corresponding to the second communication signal through the second communication signal in the interference source positioning module according to the intelligent anti-interference model.

[0038] Specifically, the intelligent anti-interference model is a pre-constructed learning model. By inputting the second communication signal into the intelligent anti-interference model, the intelligent anti-interference model obtains second signal integrated information based on the second communication signal. The second signal integrated information includes the actual interference intensity after suppression, the communication recovery status of the affected device after the implementation of the suppression measures, and the impact on the communication of other surrounding intelligent devices.

[0039] In one possible implementation, obtaining the second signal integration information includes: comprehensively establishing an intelligent anti-interference model based on a large amount of historical data and analysis reports of interference cases stored in a preset integrated verification database, and the intelligent anti-interference model is initialized and trained in advance through the behavioral characteristics of different types of interference sources in various smart home scenarios, the impact rules on communication equipment and links, and the effective suppression strategies that should be adopted for different interference situations.

[0040] In one possible implementation, obtaining the second signal integrated information also includes: performing a matching analysis on the second communication signal to obtain interference source characteristics corresponding to the second communication signal, the interference source characteristics being target key characteristics corresponding to the interference source in the second communication signal, the target key characteristics including interference source type, interference intensity, interference source coordinates, and an identifier of the device to which the interference source belongs; obtaining an intelligent anti-interference model corresponding to the interference source characteristics in a preset communication integrated database, the preset communication integrated database being used to store the correspondence between the interference source characteristics and the intelligent anti-interference model.

[0041] In this embodiment, when the interference source is of the same frequency and strong, the intelligent anti-interference model chooses to adjust the communication frequency of the interfered device to a relatively idle frequency band; when the interference source is strong at a close distance, the intelligent anti-interference model chooses to reduce the transmission power of the interference source; when the interference source is caused by a failure of an intelligent device, the intelligent anti-interference model chooses to restart the device, update the software or perform hardware repair measures.

[0042] In one possible implementation, obtaining the second signal integrated information also includes: obtaining multiple preset interference suppression strategies based on the interference source feature matching analysis results, the multiple preset interference suppression strategies include target interference source features, the target interference source features are any one of the multiple preset interference suppression strategies; determining and optimizing interference suppression parameters; generating interference suppression instructions based on the interference suppression strategies and interference suppression parameters, the interference suppression instructions are interference suppression execution measures for the smart home device corresponding to the specified device identifier; and re-monitoring the signal status of the interference source corresponding to the second communication signal and the affected smart home to obtain the second signal integrated information.

[0043] Specifically, the adjustment of the interference suppression parameters corresponding to the preset interference suppression strategy includes: when the device communication frequency needs to be adjusted, determining the specific target frequency value based on the communication frequency usage of the smart home devices in the smart home environment and the currently available idle frequency bands; when the transmission power of the interference source needs to be reduced, optimizing the power reduction amplitude.

[0044] S4: Adapting and extending the communication protocol: identifying the device protocol corresponding to the first communication signal, and optimizing and adjusting the protocol based on the second signal integration information corresponding to the second communication signal to obtain the first signal integration information.

[0045] In one possible implementation, obtaining the first signal integration information includes: parsing the first communication signal corresponding to the preliminary judgment that there is no abnormal situation in S1 and the second signal integration information corresponding to the second communication signal to obtain the device protocol type and version number corresponding to the smart device identifier in the first communication signal.

[0046] In a possible implementation, obtaining the first signal integration information further includes: establishing a protocol compatibility matrix according to the acquired device protocol type and version number, the protocol compatibility matrix being a compatibility relationship based on a large number of experimental tests and specific protocols and versions used by the current device; and verifying the communication between the smart home devices through the protocol compatibility matrix; In this embodiment, device A uses Wi-Fi protocol version A1, and device B uses Bluetooth protocol version B1. Based on the protocol compatibility matrix, it is found that the two protocols and versions are incompatible, so a protocol adaptation operation is performed; A protocol optimization and adjustment strategy is performed according to the second signal integration information. The protocol optimization and adjustment strategy includes standardizing the protocol format, modifying the protocol data format, conversion rules, adjusting communication parameters, and replacing the protocol conversion plug-in. In a preset communication integration database, the protocol optimization and adjustment strategy corresponding to the protocol compatibility matrix is ​​obtained. The preset communication integration database is used to save the correspondence between the protocol compatibility matrix and the protocol optimization and adjustment strategy.

[0047] In this embodiment, the protocol optimization and adjustment strategy requires data format conversion of two incompatible protocols, and specific conversion rules and adaptation plug-ins for the two protocols are searched in a preset communication integration database.

[0048] S5: Analyze distributed data: Perform distributed processing on the first signal integrated information, and obtain a third communication signal based on the overall architecture and operation requirements of the smart home.

[0049] In a possible implementation, acquiring the third communication signal includes: performing distributed processing based on the first signal integrated information, the distributed processing including data partition analysis, parallel processing analysis, and load balancing analysis; In this embodiment, in a large-scale smart home environment and with large differences in the types of communication data of different smart home devices, data partitioning is implemented to divide different types of communication data into different processors for analysis and processing; In this embodiment, the user needs to control the smart home device in real time, so parallel processing is selected to enable multiple processors to analyze and process the communication data at the same time; In this embodiment, if the hardware equipment of the network communication is not updated and the communication is prone to congestion, load balancing is used to distribute the communication data traffic to different processing nodes to ensure that the workload of each node is relatively balanced; It should be noted that distributed processing is performed using data partitioning, and a classification operation is performed according to the first signal integration information to obtain an allocation rule corresponding to the first signal integration information, the allocation rule being a target processing partition corresponding to the first signal integration information, the target processing partition including device control instructions, device status feedback data, and multimedia data; It should be noted that parallel processing is used for distributed processing. According to the first signal integration information, the device communication stability verification task is decomposed into multiple subtasks, and verification is performed for different groups of smart home devices; the data transmission efficiency calculation task is decomposed into multiple subtasks, each subtask is responsible for calculating the data transmission efficiency between a specific device pair; and the analysis results of the subtasks are summarized; It should be noted that load balancing is used for distributed processing, and the load situation of each processing node is continuously monitored and analyzed, and the load situation includes the current processing task volume, available resources, and network bandwidth occupancy of the processing node; allocation operation is performed based on the load monitoring result and the first signal integration information, and the allocation operation is determined based on the remaining available resources, current processing task volume, and network bandwidth of the processing node; Specifically, the first signal integration information corresponding to the distributed processing is integrated to obtain a third communication signal, which includes a packet loss rate reduction rate, a connection success rate improvement rate, a data transmission efficiency, an optimized data format, and data distribution in the system.

[0050] S6: Evaluate and monitor smart home performance: obtain a smart performance evaluation model, and obtain third signal integration information corresponding to the third communication signal through the third communication signal according to the smart performance evaluation model.

[0051] Specifically, the intelligent performance evaluation model is a pre-constructed learning model, and by inputting the third communication signal into the intelligent performance evaluation model, the intelligent performance evaluation model obtains the third signal integration information according to the third communication signal.

[0052] In a possible implementation, obtaining the third signal integrated information corresponding to the third communication signal includes: calculating, according to the third communication signal, a performance indicator corresponding to the third communication signal by using an intelligent performance evaluation model, the performance indicator including a device connection success rate, a data transmission rate, and an average response time, and comparing and analyzing an actual calculated value of the performance indicator with a preset standard value; In this embodiment, if the device connection success rate indicator actually calculated is higher than the minimum acceptable success rate, it means that the device connection is performed well; Comprehensively evaluate the relationship between multiple performance indicators; In this embodiment, the evaluation results of various performance indicators are integrated by weighted average to obtain a comprehensive evaluation of the overall performance of the smart home system to determine whether the system meets the overall operation requirements of the user; Regularly receive a third communication signal, calculate the performance index corresponding to the third communication signal through an intelligent performance evaluation model to obtain changes in the performance index, and obtain third signal integrated information, the third signal integrated information including the actual value of each performance index, standard comparison data, comprehensive evaluation results, and change trends of the performance indicators.

[0053] S7: Optimize the smart home organizational structure: Perform dynamic verification based on the third signal integration information to verify the performance of the smart home architecture and optimize it.

[0054] Specifically, based on the third signal integration information, a dynamic verification indicator is set, and the dynamic verification indicator includes a connection status of the device, a data transmission process, a command response, and a device energy consumption; In this embodiment, the stability of the device connection is verified by continuously tracking whether the device connection success rate always remains above the set threshold; observing whether the data transmission rate meets the high efficiency requirements under different load conditions to verify the performance of data transmission; checking the changes in the system response time and other performance indicators when a new device is connected to verify the scalability of the system, etc.; According to the dynamic verification results, the performance bottlenecks and problem areas corresponding to the smart home environment are analyzed and optimization measures are taken to readjust the first signal integration information; Specifically, adjust the placement of devices to improve signal coverage, update device drivers or firmware to enhance compatibility to ensure stable device connections; use mesh topology instead of star topology to ensure smooth data transmission; upgrade transmission protocols; adjust networking architecture, increase the number of device access points, and optimize access point settings to dynamically adjust the scalability of smart homes; In this embodiment, when the device connection success rate in zone A is lower than the set threshold, there is an unstable connection factor; when the data transmission rate cannot meet the high efficiency requirements in a large-scale data transmission scenario, the network topology structure is unreasonable; when the response time increases significantly when a new device is connected and other performance indicators decrease significantly, there is a scalability defect problem.

[0055] As attached Figure 2 A distributed communication integrated verification system for smart home shown in the figure includes a system operation database, a system central processing module and a user information terminal, and also includes: a signal monitoring and acquisition module, an interference source positioning module, an intelligent interference suppression module, a protocol adaptation and expansion module, a distributed data processing module, a smart home performance monitoring module, and an organizational structure optimization module.

[0056] Signal monitoring and acquisition module: used to monitor the signal status of smart devices in the smart home environment in real time when they are running, and collect the signals sent and received by the smart devices to obtain the first communication signal; Interference source positioning module: used to perform signal positioning operation on the abnormal signal corresponding to the first communication signal in the signal monitoring and acquisition module, and the signal positioning operation is used to obtain the second communication signal; Intelligent interference suppression module: used to obtain an intelligent anti-interference model, and obtain second signal integration information corresponding to the second communication signal through the second communication signal in the interference source positioning module according to the intelligent anti-interference model; Protocol adaptation and expansion module: used to identify the device protocol corresponding to the first communication signal in the signal monitoring and acquisition module, and optimize and adjust the protocol based on the second signal integration information corresponding to the second communication signal in the intelligent interference suppression module to obtain the first signal integration information; Distributed data processing module: used for distributed processing of the first signal integrated information in the protocol adaptation and extension module, and obtaining a third communication signal based on the overall architecture and operation requirements of the smart home; Smart home performance monitoring module: used to obtain a smart performance evaluation model, and obtain third signal integration information corresponding to the third communication signal through the third communication signal in the distributed data processing module according to the smart performance evaluation model; Organizational architecture optimization module: used to perform dynamic verification based on the third signal integration information in the smart home performance monitoring module to verify the performance of the smart home architecture and optimize it; The system operation database includes all data texts of the smart home distributed communication integrated verification system, and collects the information text output by each module in real time. The system central processing module is used for the information text instructions output by each module in the central control method, and the user information terminal is an information output device for receiving the smart home distributed communication integrated verification system.

[0057] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other; Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A distributed communication integrated verification method for smart home, characterized in that: include: S1: monitoring and collecting corresponding signals of smart home: real-time monitoring of the signal status of smart devices in the smart home environment when they are running, and collecting the signals sent and received by the smart devices to obtain the first communication signal; S2: Locating the interference source: performing a signal locating operation on the first communication signal corresponding to the signal abnormality, the signal locating operation is used to obtain the second communication signal; S3: Intelligently suppress interference sources: obtain an intelligent anti-interference model, and obtain second signal integration information corresponding to the second communication signal through the second communication signal in the interference source positioning module according to the intelligent anti-interference model; S4: Adapting and extending the communication protocol: identifying the device protocol corresponding to the first communication signal, and optimizing and adjusting the protocol based on the second signal integration information corresponding to the second communication signal to obtain the first signal integration information; S5: Analyze distributed data: Distribute the integrated information of the first signal and obtain a third communication signal based on the overall architecture and operation requirements of the smart home; S6: Evaluate and monitor smart home performance: obtain a smart performance evaluation model, and obtain third signal integration information corresponding to the third communication signal through the third communication signal in the distributed data processing module according to the smart performance evaluation model; S7: Optimize the smart home organizational structure: Perform dynamic verification based on the third signal integration information to verify the performance of the smart home architecture and optimize it.

2. A distributed communication integrated verification method for smart home according to claim 1, characterized in that: The step S2, obtaining a second communication signal, specifically includes: Perform signal positioning operations according to the abnormality type corresponding to the abnormal characteristics and the layout characteristics and distribution of smart home devices. The signal positioning operations include positioning based on signal arrival time difference, signal strength indication positioning, and arrival angle positioning; Determine the configuration parameters in the positioning technology, which include the location coordinates of each monitoring point, the communication signal propagation speed, and the conversion parameters between the signal strength and the distance of the monitoring point.

3. A distributed communication integrated verification method for smart home according to claim 2, characterized in that: The step S2, obtaining a second communication signal, specifically includes: The signal positioning operation is performed based on the signal arrival time difference positioning. According to the signal abnormality corresponding to the first communication signal, that is, the abnormality type corresponding to the abnormal feature, the communication signal transmission timestamp when the communication signal arrives at each monitoring point is extracted. Based on the transmission time t of the communication signal from the monitoring point n to the monitoring point m, the transmission time t m , and the transmission time t of the communication signal from monitoring point m to monitoring point n n , calculate the signal arrival time difference Δt between monitoring point n and monitoring point m mn , specifically expressed as: Δt mn =|t m -t n |, Among them, n and m represent the indexes of different monitoring points, |t m -t n | is expressed as the absolute value of the signal arrival time difference; Based on the position coordinates n (x n ,y n , z n ), the position coordinates of the monitoring point m (x m ,y m , z m ), communication signal propagation speed v, and the signal arrival time difference Δt between monitoring point n and monitoring point m mn , obtain the interference source coordinate objective function F(IS(X, Y, Z)), which is specifically expressed as: F(IS(X,Y,Z))=F mpn 2 (m,n)+F mpn-1 2 (m,n)+…+F1 2 (m,n), Among them, mpn represents the total number of interference source estimation functions, and the value of mpn is C pn 2 , pn represents the total number of monitoring points, that is, the number of combinations of 2 monitoring points taken from the total number of monitoring points pn, and F(m,n) represents the interference source estimation function between monitoring points n and m, which is specifically expressed as: ， Wherein, X, Y, and Z represent the coordinate positions of the interference source IS respectively.

4. A distributed communication integrated verification method for smart home according to claim 1, characterized in that: The step S3, obtaining the second signal integration information, specifically includes: Performing matching analysis on the second communication signal to obtain interference source features corresponding to the second communication signal, where the interference source features are target key features corresponding to the interference source in the second communication signal, and the target key features include interference source type, interference intensity, interference source coordinates, and device identifier to which the interference source belongs; In a preset communication integrated database, an intelligent anti-interference model corresponding to the interference source characteristics is obtained, and the preset communication integrated database is used to store the corresponding relationship between the interference source characteristics and the intelligent anti-interference model.

5. A distributed communication integrated verification method for smart home according to claim 1, characterized in that: The step S4, obtaining the first signal integration information, specifically includes: Establish a protocol compatibility matrix based on the acquired device protocol type and version number. The protocol compatibility matrix is ​​based on a large number of experimental tests and the compatibility relationship between the specific protocols and versions used by the current devices; Verify communications between smart home devices through a protocol compatibility matrix; Performing a protocol optimization and adjustment strategy according to the second signal integration information, the protocol optimization and adjustment strategy including standardizing the protocol format, modifying the protocol data format, conversion rules, adjusting communication parameters, and replacing the protocol conversion plug-in; In a preset communication integrated database, a protocol optimization adjustment strategy corresponding to the protocol compatibility matrix is ​​obtained. The preset communication integrated database is used to store the corresponding relationship between the protocol compatibility matrix and the protocol optimization adjustment strategy.

6. A distributed communication integrated verification method for smart home according to claim 1, characterized in that: The step S5 of acquiring the third communication signal specifically includes: Performing distributed processing based on the first signal integration information, the distributed processing including data partition analysis, parallel processing analysis, and load balancing analysis; The first signal integration information corresponding to the distributed processing is integrated to obtain a third communication signal.

7. A distributed communication integrated verification method for smart home according to claim 6, characterized in that: The step S5 of acquiring the third communication signal specifically includes: Distributed processing is performed using data partitioning, and a classification operation is performed according to the first signal integration information to obtain an allocation rule corresponding to the first signal integration information, where the allocation rule is a target processing partition corresponding to the first signal integration information, and the target processing partition includes device control instructions, device status feedback data, and multimedia data; By using parallel processing for distributed processing, the device communication stability verification task is decomposed into a plurality of subtasks according to the first signal integration information, and verification is performed for different groups of smart home devices; Decompose the data transmission efficiency calculation task into multiple subtasks, each subtask is responsible for calculating the data transmission efficiency between specific devices; Summarize the analysis results of subtasks; Use load balancing for distributed processing, and continuously monitor and analyze the load of each processing node, including the current processing task volume, available resources, and network bandwidth usage of the processing node; An allocation operation is performed based on the load monitoring result and the first signal integration information, and the allocation operation is determined based on the remaining available resources of the processing node, the current processing task volume, and the network bandwidth.

8. A distributed communication integrated verification method for smart home according to claim 1, characterized in that: The step S6, obtaining third signal integration information corresponding to the third communication signal, specifically includes: According to the third communication signal, the performance index corresponding to the third communication signal is calculated by the intelligent performance evaluation model, and the performance index includes the device connection success rate, the data transmission rate, and the average response time. The actual calculated value of the performance index is compared and analyzed with the preset standard value; Comprehensively evaluate the relationship between multiple performance indicators; The third communication signal is received regularly, and the performance index corresponding to the third communication signal is calculated by the intelligent performance evaluation model to obtain the change of the performance index, so as to obtain the third signal integrated information.

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