1583results about "Data switching by path configuration" patented technology

One or more computer-readable media (CRM) storing instructions for monitoring quality of-service (QoS) flows in a wireless cellular network are disclosed. The instructions, upon execution by one or more processors, cause the one or more processors to: obtain a signal in the wireless cellular network; determine, based on the signal, a QoS flow event for a session management function (SMF); determine performance measurements related to the QoS flow event; and modify at least one of the QoS flows in the wireless cellular network based on the performance measurements. Example QoS flow events include a request to create or modify a QoS flow, a successfully created or modified Qos flow, a QoS flow that failed to be created or modified, etc.

The invention provides a cross-platform fusion access method, system and device of equipment and electronic equipment, the method is applied to the technical field of Internet of Things, and the method comprises the following steps: a mobile terminal performs security authentication on target central control equipment; the mobile terminal sends a structured configuration file including the equipment information of the plurality of smart home equipment, the region division rule, the scene mode and the linkage rule to the target central control equipment; the target central control equipment receives and analyzes the structured configuration file, and updates the corresponding smart home equipment according to an analysis result; the target central control equipment receives a control instruction of the cloud platform, converts the control instruction into an internal protocol instruction and then issues the internal protocol instruction so as to control the corresponding smart home equipment to execute operation; the target central control device synchronizes the state information of the smart home device to the cloud platform; and when an upgrading instruction of the cloud platform is received, issuing an upgrading task to execute an upgrading process. According to the method, the real-time performance of remote control of the smart home equipment and the accuracy of state feedback are guaranteed.

The invention relates to the technical field of smart home, and discloses a smart home control method and device for realizing user interaction based on a smart mirror, and the method comprises the steps: confirming a plurality of user registration instructions, obtaining a registration voice stream based on the user registration instructions, carrying out the feature extraction of the registration voice stream, obtaining reference voiceprint features, summarizing the reference voiceprint features, and carrying out the collection of the reference voiceprint features. The method comprises the following steps: obtaining a plurality of reference voiceprint features, confirming to receive a pre-confirmed voice wake-up word, carrying out voice collection based on the voice wake-up word to obtain a user voice stream, obtaining a voiceprint label by using the user voice stream and the plurality of reference voiceprint features, carrying out voice analysis on the user voice stream to obtain a control instruction, and sending the control instruction to a server. And performing permission verification by using the voiceprint tag and the control instruction to obtain a permission verification result, and obtaining response feedback based on the permission verification result. According to the invention, the problem that the personalized intelligent service cannot be provided because the current user identity cannot be distinguished and the control authority cannot be verified according to the user identity in the smart home interaction scene can be solved.

The invention relates to a smart home equipment control method and system based on QUIC point-to-point communication, and belongs to the technical field of smart home control, and the control method comprises the steps: receiving a natural language instruction of a user terminal, and carrying out the analysis to obtain a target equipment identifier and an operation intention description text; retrieving a pre-constructed equipment registry according to the target equipment identifier, and obtaining a corresponding cue word template and a QUIC connection address; calling an artificial intelligence model deployed locally, and outputting a structured equipment control instruction in combination with the operation intention description text and the cue word template; performing signature encryption on the structured equipment control instruction, establishing a QUIC end-to-end encryption transmission channel between the user terminal and the target equipment, and transmitting the QUIC end-to-end encryption transmission channel to the target equipment; receiving operation response data fed back by the target equipment after the target equipment verifies and executes the structured equipment control instruction; the device registry is dynamically optimized based on the operational response data. According to the invention, the risk of cloud service privacy leakage can be reduced, and the data security of the smart home system is improved.

The invention discloses a voice trigger type remote control method for low-power-consumption equipment, relates to the technical field of Internet of Things communication, and is used for solving the problem that communication energy consumption and transmission reliability of the low-power-consumption equipment are difficult to cooperate in a complex wireless environment. According to the method, a dynamic protocol optimization and resource self-adaption mechanism is constructed to realize multi-dimensional perception and cooperative control on the residual electric quantity of equipment, the channel state and the network type, the system acquires the transmission success rate and confirms delay parameters, generates a joint performance index, calculates the disturbance sensitivity, constructs a resource influence map and positions a key communication path; a transmission adjustment strategy in a minimum energy consumption range is generated by combining authentication strength grading, a protocol header compression strategy and retransmission cost, communication oscillation caused by global protocol reconstruction is avoided, and a closed-loop communication control flow is formed by system linkage frame packaging optimization and confirmation window adjustment. And the equipment endurance time, the communication reliability and the self-adaptive capability are remarkably improved in a low-power-consumption scene of the smart home.

The invention relates to the field of home safety, in particular to an AI intelligent home safety control system. Comprising a management center, and the management center is in communication connection with a home user behavior module, a home user control module and a safety detection control module. Acquiring historical instruction data of a user for the smart home, analyzing the historical instruction data, constructing a user instruction map, and generating user control data in combination with the user instruction map; constructing a network path link in combination with the historical instruction data and the user control data; analyzing the network path chain to generate a standard path chain template; generating a real-time home path chain through the obtained current control behavior of the user, and obtaining a home behavior control model according to the user instruction map and the network path chain; and analyzing the collected real-time instruction data in combination with the home behavior control model, generating a risk mapping index table, and performing safety control on the smart home through the risk mapping index table. According to the invention, the security of the smart home can be improved.

The invention relates to the technical field of smart home, and discloses a smart home environment alarm method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining initial perception data of a smart home environment, the perception data comprising at least two of environment data, security data, audio and video data, energy data and user data; determining at least one abnormal event in the smart home environment according to the initial sensing data, and performing cross verification on the abnormal event to obtain a verification result; and generating corresponding alarm information based on the verification result, and executing a pushing operation of the alarm information. The problem that an existing smart home alarm method is based on a single sensor or a static rule, lacks a cross validation mechanism of multi-modal data and is prone to causing a high false alarm rate is solved.

A network coupler connects a first network with primary network participants, which communicates using a first network protocol, to a subordinate second network with secondary network participants, which communicates using a second network protocol. The network coupler includes a protocol translator for translating between the first and second network protocols, a control unit communicating according to the second network protocol for controlling the subordinate second network, and multiple participant representatives communicating according to the first network protocol.The participant representatives comprise a secondary participant representative to represent at least one secondary network participant communicating according to the second network protocol according to the first network protocol, and a tertiary participant representative to represent at least one tertiary network participant of a third network communicating according to an Ethernet-based third network protocol according to the first network protocol, wherein the third network protocol differs from the first network protocol with respect to the specification of the layer of the ISO / OSI model, namely the physical layer, but agrees with the first network protocol with respect to the specification of at least one further layer of the ISO / OSI model.

The invention discloses a multi-mode control method for voice interaction and gesture recognition of an atmosphere lamp, and belongs to the field of intelligent control. The method comprises the following steps: S1, constructing a multi-mode sensing module, and arranging a bidirectional linear array microphone, a dual-lens infrared depth camera and a space calibration laser transmitter; s2, extracting voice features by adopting an extended spectrogram domain attention network, and generating a first semantic vector; s3, dynamic attitude features are extracted through the time-airspace sparse convolutional network; s4, performing modal alignment and cooperative coding on the two semantic vectors based on a bidirectional gating fusion mechanism, generating a joint interaction instruction vector, and solving modal conflicts by a time sequence synchronization and confidence regulation strategy; s5, inputting the vector into a multi-task intention classifier, analyzing a user intention and outputting a unique atmosphere lamp control code; and S6, transmitting the control code to a driving unit to realize light control. The beneficial effects are that voice and gesture fusion control is realized, and atmosphere lamp interaction intelligence and response precision are improved.

The present invention relates to a smart home cooking system using an artificial intelligence device, comprising: at least one cooking utensil provided to cook food ingredients; and the artificial intelligence device that is provided to identify a speech command of a user and control the cooking utensil to cook the food ingredients according to the identified speech command, learns a preferred food of the user and a preferred food type of the user according to a food cooking history of the user, detects, when there is a request of the user, at least one food recipe according to the preferred food of the user or the preferred type of the user from among a pre-stored plurality of recipes, on the basis of a result of the learning, and provides the detected at least one food recipe to the user as a recommended food recipe.

A safety standard of a predetermined level is set for a function to be implemented in each of devices. A central ECU includes ASIL ECUs to, in which each of the ASIL ECUS to is allocated for each level of the safety standard and is able to execute, on the device, confirmation processing according to the allocated level. A network branch unit distributes and transmits each of input signals from the devices, the input signals being respectively transmitted from zone ECUs, to a corresponding one of the ASIL ECUS each having the level allocated thereto and corresponding to the function of the device, and distributes and transmits each of output signals from the ASIL ECUs, the output signals being respectively transmitted from the ASIL ECUs, to a corresponding one of the zone ECUs each having transmitted the input signal from the device subjected to the confirmation processing.

The invention discloses a voice control method and device for a household electrical appliance, and the method comprises the following steps: S1, collecting a user voice signal, and carrying out the preprocessing of the user voice signal; s2, performing local wake-up detection and local voice recognition on the preprocessed voice signal to obtain a text instruction; s3, performing complexity analysis on the text instruction; s4, based on the result of the complexity analysis, processing the text instruction through a local path or a cloud path to generate a control instruction; and S5, controlling the target household electrical appliance to execute corresponding operation according to the control instruction. According to the invention, the recognition efficiency and the recognition accuracy can be improved; the natural language expression of the user can be converted into accurate equipment linkage operation in combination with voice context information; a simple control instruction is subjected to localization processing, only necessary data are uploaded to the cloud, and the risk of privacy disclosure is reduced; personalized services are provided by binding voiceprint recognition with user preferences.

The invention relates to the technical field of hearing-aid communication terminals, and discloses a hearing-aid operation method, system and terminal for communication data for old people. The hearing-aid operation method is applied to a terminal host integrated with a hearing-aid unit, an audio unit, a communication unit, a positioning unit, an AI processing unit and a wireless connection unit, and specifically comprises the following steps: S101, obtaining a user start request, synchronously collecting an environment simulation sound signal through a terminal microphone array, and converting the environment simulation sound signal into a high-resolution digital audio stream through an ADC module; according to the invention, a hardware end deeply integrates hearing aid, communication and an AI processing unit to integrate an environment sound enhancement function and a family interaction function into the same data processing stream, and a self-adaptive multi-filtering technology based on scene perception is adopted, so that noise reduction, frequency band enhancement and signal shaping parameters can be dynamically adjusted according to a real-time acoustic environment; and speech definition and auditory safety in a complex environment are obviously improved.

A household appliance comprises a wireless communication device; an output device; an input device; and a processing device. The processing device is configured to wirelessly pair a mobile device with the household appliance, to provide an output from the mobile device via the output device, and to provide an input to the mobile device via the input device.

The invention discloses a heterogeneous robot access method and system based on dynamic configuration driving, and solves the problem of differences of robots of different manufacturers in communication protocols, control instructions and parameter formats through cooperative work of a driving layer and an adapter layer. And the driving layer dynamically generates a corresponding basic driver by reading a driving configuration file, and automatically selects and executes a proper driving method according to a control instruction. Each robot dynamically adjusts the combination mode of the driving layer through a driving configuration file according to the characteristics of the robot, and flexible configuration and expansion of driving are achieved. And the adapter layer realizes semantic conversion of a robot control instruction and a parameter format by reading an adapter configuration file, converts a high-level service instruction into the robot control instruction according to a unique identifier and a service requirement of the robot, and performs necessary mapping on input and output of the robot. According to the method, the heterogeneous robot access process is simplified, and high expansibility and adaptability are achieved.

An asset management system includes an asset management network that connects various types of refrigeration appliances to an asset manager. At the device layer, IOT devices are connected to the refrigeration appliances and have edge compute capability, including a backup power management function, and a modem for network communication. IOT device ports directly integrate with sensors, switches, and / or serial data controllers of refrigeration appliances. Push notification alarms are initiated on the edge of the network by IOT devices. The network tags operating data by appliance serial, and the asset manager stores the data using serial numbers as primary keys. The asset manager streams data from numerous appliances and uses event driven processing to promptly respond to edge alarms. The operating data keyed by serial number is enriched with proprietary data organized by appliance type and is used to develop new predictive models by appliance type.

The invention provides an EtherCAT real-time performance improving method and system, a storage medium and a program product, and relates to the technical field of industrial data high-speed transmission. The master station firstly executes the reading operation and then executes the instruction sending operation, and the operation is immediately carried out after the reading operation, so that the additional delay introduced by the updating calculation operation can be effectively avoided, the control instruction calculated in the last period is directly and quickly sent to the slave station, the slave station is ensured to execute the latest command in time, the data can be quickly sent out in the current period, and the real-time performance is improved. The updating calculation operation is arranged after the instruction is sent, and the remaining time of the control period is fully utilized to prepare the instruction for the next period in advance, so that the calculation efficiency is improved, the delay influence on the previous link is reduced, and the disorder of the subsequent message sending time caused by the uncertain updating calculation execution time is avoided; therefore, under a low-delay task (such as a 1ms period task), the occurrence probability of a jitter phenomenon is reduced.

The invention provides an equipment state detection method and device, electronic equipment and a storage medium, and relates to the technical field of smart home, and the method comprises the steps: obtaining the equipment activity of equipment and the current network quality, and then carrying out the dynamic adjustment of a sending period according to the equipment activity and the current network quality, the method comprises the following steps: acquiring a target sending period corresponding to equipment, sending heartbeat packets according to the target sending period, if monitoring that the number of times that the equipment continuously loses the heartbeat packets reaches a preset threshold value, acquiring multi-dimensional state data corresponding to the equipment, judging whether the equipment is offline or not according to the multi-dimensional state data, and sending the heartbeat packets to the equipment when the equipment is offline. According to the method and the device, the target offline reason corresponding to the device is determined, so that intelligent self-adaption of a detection strategy is realized, the detection efficiency and the resource utilization rate are improved, the offline state of the device is accurately identified, the accuracy and the reliability of state judgment are improved, accurate root cause positioning is realized, and the self-adaption capability of fault diagnosis is enhanced.

The present disclosure is directed to an intelligent electronic device (IED) configured for use in an Internet of Things (IoT) environment. The IoT environment of the present disclosure may include one or more objects or things in addition to the IED coupled together via a network, where each device is configured for IoT communication.

This application provides an automatic control method, a first electronic device, and a system based on human perception, relating to the field of automatic control. The system includes a first electronic device and a second electronic device. The first electronic device includes a first ultra-wideband module and a millimeter-wave radar module. Based on the position measurement of the second electronic device by the first electronic device, and the measurement and conversion of the human body's position, the location information of the second electronic device and the user's location information are obtained. According to the user's location information and the location information of the second electronic device, at least one of the second electronic devices automatically executes a preset operation. This application eliminates the need for the user to carry the device, enabling automatic control of IoT devices conveniently and quickly.

The invention provides a smart home security authentication management method and system based on a wireless local area network. The method comprises the following steps: constructing a home network security authentication domain; when a new smart home device is accessed, marking the new smart home device as a second smart home device, and obtaining a device authentication state matrix of a home network security authentication domain; generating an authentication challenge vector based on the device authentication state matrix, and sending the authentication challenge vector to the second smart home device and the first smart home device for cooperative verification; and if the authentication challenge vector passes the cooperative verification, updating keys of all smart home devices in the home network security authentication domain according to a preset dynamic key synchronization protocol. Through construction of a home network security authentication domain, intra-domain sharing of security parameters such as a device authentication state and key management is realized, when any key is updated, other devices update synchronously, and associated dependence exists among keys, so that a risk conduction path of a whole network falling situation caused by key leakage of a single device is blocked.

The invention relates to the technical field of industrial internet of things data acquisition, and particularly provides a multi-tenant industrial big data acquisition method and device based on dynamic protocol adaptation, and the method comprises the following steps: S1, carrying out dynamic protocol adaptation; s2, constructing an industrial equipment model library; and S3, establishing a multi-tenant data convergence layer. Compared with the prior art, the access configuration workload of the industrial Internet of Things equipment can be greatly reduced, and the dependence on professional technical knowledge in the implementation and deployment process is reduced, so that the popularization and application of the industrial digital technology are promoted.

The invention provides a home intelligent service mining method, a related device and a computer program product. The home intelligent service mining method comprises the steps that a home equipment action list is acquired, and the home equipment action list comprises equipment actions of multiple pieces of equipment in a home and execution time corresponding to the equipment actions; the household equipment action list is input into an intelligent service mining model, an equipment control sequence group is obtained, and the equipment control sequence group comprises preorder actions with the first execution time and postorder actions with the later execution time; and based on the device control sequence group, generating an intelligent service, the trigger condition of the intelligent service being a preorder action, and the trigger result of the intelligent service being automatically executing a subsequent action. The home intelligent service mining method can construct an application scene in a self-adaptive manner and accurately match actual use requirements.

The invention discloses a smart home control method based on voice recognition and context awareness. The method comprises the following steps: S1, collecting voice signals and environment state information; s2, performing preprocessing on the voice signal; s3, inputting the speech feature sequence into a speech recognition model based on a recurrent neural network transduction structure for recognition processing, and outputting a semantic text sequence; s4, constructing a two-stage trigger matching strategy, and if a matching result exists, determining that the request is a voice wake-up request; s5, executing situation classification, and outputting a current situation type label; and S6, according to the current situation type label, generating different instructions. According to the invention, by fusing voice recognition and environment perception, high-accuracy smart home control suitable for an aged scene is realized, and the system has timely response and personalized interaction capabilities.

The invention discloses an equipment data unified integration and supply method based on dynamic metadata and intelligent routing and an Internet of Things home platform, and the method comprises the steps: obtaining to-be-updated equipment data, classifying the equipment data according to the data structure, data increment and change frequency of the equipment data, and respectively marking the equipment data as main data or transaction data; based on task characteristics of the main data and the transaction data, intelligent scheduling is carried out by utilizing dynamic node pressure sensing, and different types of data are distributed to optimally matched processing nodes; and performing corresponding update processing on the main data and the transaction data, uniformly storing update processing results in a dimension table mode and a fact table mode, and enabling the update processing results to be called by a smart home language model through a uniform data service interface.

Provided in the embodiments of the present disclosure are a network configuration method, an electronic device and a program product. The network configuration method is applied to a management device of a target network, the target network comprising a plurality of routing device, and the network configuration method comprising: after the management device has established a connection with a device to be subjected to network configuration, acquiring a network configuration request message of the device to be subjected to network configuration, the network configuration request message comprising device information of the device to be subjected to network configuration; on the basis of the device information of the device to be subjected to network configuration and a preset network configuration rule, determining a target routing device from among the plurality of routing devices, the target routing device being a routing device accessible to the device to be subjected to network configuration; and sending a network configuration response message to the device to be subjected to network configuration, the network configuration response message comprising access information of the target routing device.

The invention relates to the technical field of smart home, and discloses a configuration data import method based on smart home equipment, the method constructs a system, and the system is internally provided with a data acquisition module, a data correction module, a protocol identification module, a data processing module, a transmission stability module, an execution instruction generation module and a control module. The data acquisition module is responsible for collecting original data, the data correction module supplements and corrects the data and stores the data in an encrypted database, the protocol identification module identifies private communication protocols of different brand devices and converts the private communication protocols into a unified model, and the data processing module is used for repairing parameter analysis abnormity and evaluating processing efficiency. The transmission stability module evaluates signal quality, switches frequency bands when Wi-Fi is unstable, and repairs firmware vulnerabilities at the same time, the execution instruction generation module generates execution instructions according to results of the modules, and the control module executes the instructions to control the smart home equipment, so that configuration data import and equipment cooperative work are realized.

The invention relates to the technical field of detection. The invention discloses a valve fault intelligent detection method which comprises the following steps: building a monitoring internet of things, acquiring pressure, acoustics, vibration, flow and temperature data in real time, judging medium leakage according to pressure fluctuation and acoustics high-frequency characteristics, and triggering a corresponding unit as required to obtain fault information if leakage exists; if leakage does not exist, action abnormity is judged according to flow and valve rod vibration, and if abnormity exists, multiple units are linked to generate an influence evaluation and fault parameter set. According to the invention, the monitoring Internet of Things integrated with multiple sensing units is established, multiple parameters are synchronously acquired, medium leakage and action abnormity faults are accurately identified, and the problem of false and missing judgment in traditional detection is solved. When leakage is detected, a corresponding unit is triggered as required, and a progressive logic is used for judging an abnormal action, so that resources are optimized and the efficiency is improved. In addition, multiple units are linked to generate an influence evaluation and fault parameter set, data support is provided for maintenance decision making, and system stability is guaranteed.

The invention discloses a smart home screen localization control system and method based on edge computing, and belongs to the technical field of home equipment control. According to the method, a control network is formed by building a home scene edge computing node and a local control link of an intelligent home screen, the link transmission state is recorded, instruction behaviors are marked, a bimodal control feedback information set is generated, a pointing characteristic value is calculated based on the feedback set, instruction priority is evaluated, and a control sequence is output in sequence. The system correspondingly comprises a control link establishment module, a state recording module, a feedback set generation module, a priority evaluation module and a main control module. According to the invention, cloud dependence is reduced through localized link establishment, efficient instruction scheduling is realized through bimodal feedback and priority evaluation, the problems of response lag and unreasonable resource allocation of existing smart home control are solved, and the real-time performance and reliability of smart device control in a home scene are improved.

The invention provides a smart home equipment control method and system. The method comprises the following steps: receiving a natural language instruction input by a user; a natural language processing module is called to analyze the natural language instruction, context information of a current dialogue is fused in the analysis process, and the context information comprises historical dialogue records and equipment state history; based on the analysis result, a control instruction is generated through an equipment control rule analyzer, and the step of generating the control instruction comprises the substeps that fuzzy parameters are quantized, and the current state of the target equipment is inquired to execute safety authentication; the control instruction is adapted to a private communication protocol corresponding to a target equipment brand through a standardized interface protocol layer, and the adapted control instruction is issued to the target equipment; and receiving an execution result fed back by the target device to update the context information, and providing a response to the user, so as to solve the problem of poor compatibility and cooperative work capability between the smart home devices.