1520 results about "Smart device" patented technology

The invention provides a multi-source data real-time fusion processing method and system for a mobile intelligent device, and relates to the technical field of data processing.The method comprises the steps that 1, multi-dimensional original data streams are collected in real time through a heterogeneous sensor array integrated by the mobile intelligent device, data streams of different sensors are aligned by applying a space-time synchronization mechanism, and the data streams of different sensors are obtained; generating an original data set with consistent time and space; 2, dynamic interpolation compensation operation is executed on the original data set, and a dynamic calibration framework is constructed based on the internal topological relation of the data flow to form a dynamic sensing domain; and generating an evolution sequence according to the data unit evolution behavior of the domain boundary, generating a space correction value through the evolution sequence and the offset feature of the preset reference, and generating preprocessed data fused with the space correction value in combination with real-time data correlation analysis. According to the method, dynamic adjustment is triggered through anomaly detection, the fusion parameters are updated through the sliding window, and real-time efficient fusion processing of multi-source data of the mobile intelligent device is achieved.

The embodiment of the invention relates to the technical field of artificial intelligence, and provides a linkage method and system of an apartment network and intelligent equipment, and the method comprises the steps: collecting network operation data and equipment operation data of a target apartment in real time; based on the equipment operation data, determining currently achievable candidate service scenes of the target apartment; fusing the network operation data and the equipment operation data into a joint operation map of the target apartment through the space-time diagram attention network; a multi-agent depth deterministic strategy gradient algorithm is adopted to carry out network resource allocation and equipment control decision making on the joint operation map, scene adaptive optimization is realized in combination with candidate service scenes, and a linkage strategy of a target apartment is obtained; and generating a decision instruction based on the linkage strategy, and adopting the decision instruction to realize remote control of the network equipment and the intelligent equipment. Through deep fusion of the space-time diagram attention network and multi-agent reinforcement learning, dynamic collaborative management and control of the network and equipment are realized, and the resource utilization rate and the service response speed are improved.

The invention discloses a source-load interaction method based on an electricity utilization information acquisition system, and relates to the field of power distribution network operation and optimization. The method comprises the following four steps: S1, power consumption data acquisition: dynamically acquiring user power consumption, distributed energy output and power grid state data through intelligent equipment, and ensuring real-time accuracy; s2, load characteristic analysis: constructing a quantitative model to analyze characteristics such as a user load elastic coefficient and adjustable potential, establishing a supply and demand balance evaluation system in combination with distributed energy fluctuation, and determining peak and valley time periods and gaps; s3, generating an interactive strategy, and generating and issuing dynamic strategies such as electricity price excitation, load regulation and energy scheduling based on an analysis result; and S4, executing and feeding back the strategy, monitoring the execution effect in real time, and optimizing the strategy through a closed loop mechanism. According to the method, the problems of staticization, single mode and low efficiency of a traditional method are solved, the power grid supply and demand balance capability, the renewable energy consumption rate and the strategy accuracy are improved, and low-carbon and intelligent operation of the power distribution network is supported.

The invention provides a smart home control method, a readable storage medium and a smart home system. The method comprises the steps that character characteristics of target home equipment are set at least according to equipment functions of the target home equipment, the character characteristics comprise character dimensions, and the character dimensions comprise at least one of gentle, cold, humor and fine; according to at least part of the voice data, the behavior data and the indoor environment data of the user, the emotional state of the user is determined, and the behavior data comprises use condition data of the user for the multiple intelligent devices; analyzing the emotional state and the character traits by using a large model, and at least determining an interaction strategy of the target home device, the interaction strategy comprising a response style and response content; and under the condition that the emotional interaction function of the target home equipment is started, at least controlling the target home equipment to interact with the user according to the interaction strategy. According to the invention, the personification and intelligence level of the smart home equipment is improved.

The invention discloses an intelligent Internet of Things home energy management system, and relates to the technical field of intelligent homes, the system comprises a multi-dimensional data sensing module which uses a sensor and an intelligent equipment interface to collect human physiological data, obtains environment and external data through an environment sensor and a weather API, and sends the environment and external data to a cloud server; historical physiological records, environmental regulation logs and user feedback data are called, timestamps and space coordinate information are added to all kinds of data at the same time, and the data are converted into data vectors and uploaded to a system database; through the multi-dimensional data sensing module, human body physiological data, environmental data and external data can be comprehensively collected, and a physiological state prediction model and a health risk identification model exclusive to a user are constructed in combination with historical records and user feedback, so that the personalized level of health management is improved, and the health risk of the user is improved. And through a chaos embedding biological rhythm prediction formula and a dynamic Bayesian health risk assessment formula, accurate prediction of the physiological state of the user and identification of the health risk are realized.

The invention discloses a multi-person voice separation and recognition system and method for real-time voice interaction, and belongs to the technical field of voice signal processing. The technical principle comprises the following steps: segmenting streaming voice through an audio acquisition module and storing the streaming voice into a circular queue; the preprocessing module converts the wav file into a standard wav file; the voice separation module adopts a SepFormer model to separate a speaker track; the voice recognition module executes end-to-end transcription on the voice through a Paraformer model; and the result management module binds the speaker number and the text and then performs structured output. The multi-thread asynchronous architecture enables acquisition, separation and identification to be processed in parallel, and low delay is realized by combining a circular queue; the SepFormer and the Paraformer are cooperated to improve the separation precision and the recognition accuracy of the overlapped voices; jSON / database multi-format output is supported, and the interaction requirements of real-time conferences and intelligent devices are met.

The invention discloses a gout diet education system based on multi-modal interaction and an intelligent teaching aid. The system comprises a registration module, an intelligent recommendation module, a multi-modal interaction module, a diet recording module, a health monitoring module and a cloud server. The registration module receives personal information input by a user through intelligent equipment; the intelligent recommendation module generates a preliminary personalized diet scheme based on personal information by using a deep learning algorithm in combination with a medical knowledge base and a gout diet management guide; the multi-modal interaction module displays gout diet education content in a multi-modal mode; the diet recording module records diet data in real time and provides instant feedback according to the diet data and the preliminary scheme; the health monitoring module collects physiological indexes through a wearable sensor and synchronously uploads the physiological indexes and diet data to the cloud server; and the cloud server generates a diet and health association result and transmits the diet and health association result to the intelligent recommendation module to optimize the preliminary scheme. The system can provide quasi diet management support for gout patients.

A method for a system includes receiving with a first transceiver of an identity reader device, an ephemeral ID from a first smart device, outputting with the first transceiver, identity reader data to the first smart device, wherein the identity reader data comprises a first identifier and a challenge, receiving with the first transceiver, responsive data from the first smart device, wherein the responsive data comprises token data and contact tracing status of the first smart device, determining in a processor of the identity reader device, whether the first smart device is authorized in response to the ephemeral ID or the token data, and the contact tracing status, and directing with the processor, a peripheral device coupled to the identity reader device to perform a user-perceptible action in response to the processor determining that the first smart device is authorized.

Methods and systems for automatically mitigating risks of water damage to a property caused by insurance-related events are provided. A smart home controller and / or insurance provider remote processor may analyze data received from a smart device disposed on, within, or proximate to a property associated with monitoring water flow, as well as data received from an insurance provider. If it is determined that an actual or potential risk of water leakage exists, the smart home controller or remote processor may automatically issue commands to the smart device to take actions that mitigate the risk of water damage. The smart home controller may transmit information about the actual or potential water leakage risks and any mitigative actions to an insurance provider. The insurance provider remote processor may interpret the transmitted data and perform insurance activities, such as providing a discount or premium, and / or adjusting an insurance policy associated with the property.

A variety of smart inference systems and robotic control devices are disclosed. A device networking system interconnects mobile devices, robotic devices, and others. A robotic controller secures and manipulates a controlled device user interface. A smart device system interprets data based on a plurality of models operating on a plurality of runtimes based on a plurality7 of capabilities. A smart payment processor system assigns payments accounts automatically as a function of a semantic matching between one or more inferred semantic identities. A robotic emulation device captures and analyzes a video signal from a target device and transmits manipulation signals emulating a peripheral input device. A system of carts are physically coupled in a charging configuration. A conveyor is configured to couple with another conveyor and having sensors to detect weight, size, location or other aspects of conveyed items, and implementing semantic analysis for management and augmentation.

A system for event-driven distributed data network analysis, the system includes: a multitude of domain data nodes, each comprising a stream storage, a multitude of transformation pods, and a product API, with each domain data node ingesting heterogeneous event streams, validating schema compliance, performing enrichments, and making data products available under versioned schema contracts; each domain data node further comprises a hardware-based edge intelligence appliance comprising an enclosure, a compute module with heterogeneous processing units selected from CPUs, GPUs, and TPUs, a secure enclave module for confidential execution of transformation code on encrypted data, a protocol-structured stream storage medium supporting multi-level retention, and industrial I / O interfaces configured for direct interaction with sensors, programmable logic controllers, and cloud-native services; an event mesh backbone processor configured to connect the multitude of domain data nodes via a publish-subscribe architecture, with the backbone guaranteeing exactly one-time delivery, partition-level sorting, and geo-replicated durability; a Contextual Intelligence Engine coupled with the Event Mesh Backbone processor, the engine comprising a semantic graph memory and a Streaming Graph Reasoner configured to map raw events into an ontology, perform graph joins in real time, and recognize composite causal patterns across multiple domain data nodes; a governance and policy control unit integrated into both the data and control layers. This layer enforces zero-trust security, role-based access control, real-time provenance tracking, and regulatory compliance; and An actuation interface coupled with the contextual intelligence engine and the governance layer. The actuation interface is configured to generate control commands for operational technology devices and digital workflows, thus closing the loop from data acquisition to autonomous decision-making.

This invention provides a thermal comfort evaluation method based on infrared thermal imaging technology, comprising: real-time acquisition of infrared thermal imaging data of a target object; determination of skin temperature data of the region of interest on the target object's face based on the infrared thermal imaging data; calculation of the thermal sensation level using the skin temperature data and a thermal sensation evaluation model; and adjustment of the temperature setting of the target device according to the thermal sensation level. This invention uses only the skin temperature of a single area (e.g., facial skin temperature) to evaluate thermal sensation, which is simple, convenient, and highly accurate; it does not require the user to wear a smart device to collect skin temperature, directly acquiring the user's facial skin temperature in a non-contact manner.

The invention provides a method, a system and equipment for running a Linux application on a red-open operating system and a storage medium. The method comprises the following steps: receiving an operation instruction sent by a user through a shell application in the red-open operating system; the OH side service obtains an operation instruction received by the shell application, and sends the operation instruction to a Linux side service; the Linux side service transmits the operation instruction to a target application, corresponding to the shell application, in the Linux container, so that the target application on the Linux side executes corresponding control operation according to the received operation instruction, and an operation interface after the target application is completed is returned to the red-open operation system to be displayed. According to the method and the system provided by the invention, the compatible operation of the Linux application on the Hongyu operating system can be realized, so that the application programs on the Hongyu operating system are richer, and the use requirements of Hongyu intelligent equipment users on different types of application programs are met.

The invention relates to the technical field of intelligent equipment scheduling planning, and discloses a scene scheduling method and system for intelligent equipment, and the method comprises the steps: determining the task emergency degree and the motion complexity based on a dual-domain scheduling factor construction mechanism; constructing a scheduling priority weight; screening a conflict node set; generating an avoidance decision by adopting a double-case evaluation mechanism; and finally, synchronously issuing the avoidance decision to related intelligent equipment. In the prior art, there is no scheduling method of a priority guidance and fine conflict judgment mechanism, and especially in a dense operation scene of multiple mobile devices including an industrial AGV, a luggage transfer robot and a mobile charging vehicle, dynamic prediction and active avoidance of conflict risks are difficult to realize. Due to the fact that task and motion double-domain factor construction and a space and time double-condition conflict recognition mechanism are introduced, active avoiding and real-time response of device-level scheduling are achieved, and the cooperative operation stability of intelligent devices is improved.

The invention relates to the technical field of wireless communication technology, positioning navigation technology and intelligent equipment interaction, in particular to a UWB (Ultra-Wideband) antenna based on metal grid copper, which comprises a transparent flexible substrate with the light transmittance of more than 90%, a metal grid copper layer, a metal grid copper layer and a metal grid copper layer, a copper grid formed on the transparent flexible substrate and configured as a radiator of the UWB antenna; the ultra-wideband chip module is configured to execute receiving, transmitting and processing of ultra-wideband signals and high-precision positioning calculation; the interconnection structure is used for realizing electrical connection between the copper grid and the ultra-wideband chip module; the line width of the copper grid is smaller than 30 microns, and the light transmittance is larger than 80%, so that the UWB antenna has high transparency, and is nearly invisible visually when being attached to carriers such as glass and transparent packages, and the original attractiveness of the carriers is kept; and on the other hand, the transparent flexible substrate supports curved surface attachment and is suitable for special-shaped object identification, and the applicability of the UWB antenna is greatly improved.

The detachable ear-worn supporting leg is used for being detachably connected to a pluggable external connector assembly, the detachable ear-worn supporting leg comprises a shell and an interface assembly, a first opening part is formed in the first end of the shell, and the interface assembly comprises a positioning part and a limiting part; the positioning part and the limiting part are both arranged in a first cavity, communicated with the first opening part, in the shell, and the limiting part is arranged on the side, away from the first opening part, of the positioning part. The first end of the pluggable external connector assembly can be matched with the positioning part and the limiting part at the same time after being inserted from the first opening part; and the electronic module is arranged in a second cavity at one end, far away from the first opening part, in the shell. According to the detachable ear-worn supporting leg and the head-worn intelligent equipment, the detachable standardized interface design of the ear-worn supporting leg and the intelligent equipment is realized, the interchangeability can be improved, and the respective production complexity of the ear-worn supporting leg and the intelligent equipment is reduced.

The invention discloses a visual precise positioning method based on pixel fusion alignment, and relates to the technical field of visual positioning, and the method comprises the steps: obtaining a target image shot by a to-be-positioned terminal and rough pose data, screening a candidate grid set in a pixel fusion grid template dictionary based on the rough pose, and obtaining a candidate grid set; performing multi-channel pixel fusion alignment on the target image in the candidate grid set, performing step-by-step detailed search from top to bottom according to grid levels, and calculating a target three-dimensional coordinate in a minimum grid according to a pixel fusion alignment result; multi-source three-dimensional scene modeling, multi-layer grid organization, multi-channel pixel-level alignment and an online self-learning updating mechanism are comprehensively utilized, and the problem that in the prior art, in the indoor and outdoor integrated complex environment where satellite signals are weak and illumination and scenes change frequently, the multi-source three-dimensional scene modeling, multi-layer grid organization, multi-channel pixel-level alignment and online self-learning updating are difficult to achieve is solved. The method solves the problem that high-precision and high-robustness three-dimensional visual positioning is realized only by means of a single image of the terminal, and is particularly suitable for navigation guidance and intelligent equipment positioning application of large comprehensive transportation hubs, airports and urban complexes.

The invention discloses a household intelligent equipment integrated management and linkage system based on AI voice interaction. The system comprises a voice interaction module which collects user voice input and generates a digital voice stream signal; the semantic analysis module receives the digital voice stream signal, and generates a standardized instruction signal containing an equipment object, an execution action and a control parameter through a natural language understanding model; the intelligent decision-making module receives the standardized instruction signal and combines the standardized instruction signal with a real-time environment state signal obtained from the environment sensing module; the environment sensing module collects multi-dimensional sensor data in a home environment in real time and generates a real-time environment state signal; and the equipment linkage execution module receives the multi-equipment cooperative control signal, and generates a control instruction signal corresponding to each intelligent equipment through the heterogeneous equipment protocol adapter. The AI voice interaction-based household intelligent equipment integrated management and linkage system can solve the problems of intelligent household equipment linkage fragmentation, passive response and non-intelligent interaction.

The invention discloses intelligent communication equipment and a communication method based on tunnel encryption, and relates to the field of communication technology and information security. According to the method, the tunnel encryption technology is adapted and optimized through hardware performance and network environment detection of intelligent communication equipment; managing a session key based on multi-factor identity authentication and a distributed key; encrypting transmission data, packaging the encrypted transmission data into an encryption tunnel for transmission, and synchronously carrying out integrity verification; monitoring network flow in real time, identifying abnormal behaviors through a machine learning model, and triggering safety early warning; encryption parameters are dynamically adjusted to balance security and device performance. The corresponding intelligent communication equipment comprises a hardware unit and a software unit. According to the method, the problems that traditional tunnel encryption is poor in adaptability on intelligent equipment, high in key management risk and difficult to balance performance and safety are solved, safe, efficient and self-adaptive intelligent communication is achieved, and the method is suitable for encryption communication scenes of various intelligent terminals.

The invention relates to the technical field of wearable intelligent equipment, and further relates to an exercise training plan generation method and system and wearable intelligent equipment. The method comprises the following steps: when a user is not in a motion state, determining a first maximum heart rate and a first maximum oxygen uptake of the user based on a support vector regression model and basic information of the user; when the user is in the motion state, photoelectric volume pulse wave signals generated by the user in the motion process are processed through a deep learning model, and a plurality of basic index sequences are obtained; determining a second maximum heart rate and a second maximum oxygen uptake of the user based on the plurality of basic index sequences, the basic information, the maximum heart rate and a maximum oxygen uptake prediction model; and generating an exercise training plan of the user based on the first maximum heart rate and the first maximum oxygen uptake, or generating an exercise training plan of the user based on the second maximum heart rate and the second maximum oxygen uptake. The method reduces the generation cost of the exercise training plan.

The invention relates to the technical field of communication machine room monitoring, and discloses a communication machine room intelligent monitoring system based on edge computing and an implementation method thereof. The method comprises the steps that an edge gateway is connected with intelligent equipment through a network interface, and a monitoring unit is connected with traditional equipment through a serial port interface; when new equipment is accessed, identifying a protocol type through the edge gateway and generating communication parameter configuration; serial port equipment data is acquired according to the communication parameter configuration, the data acquisition time deviation between the edge gateway and the monitoring unit is calculated, when the data acquisition time deviation exceeds a preset threshold value, the edge gateway acquires standard UTC time, and a first local clock of the edge gateway and a second local clock of the monitoring unit are calibrated as the standard UTC time. According to the communication machine room monitoring system, a collaborative division mechanism of the edge gateway and the embedded monitoring unit is established, so that full-coverage acquisition of the network equipment and the serial port equipment is realized, and the intelligent level and the operation and maintenance efficiency of the communication machine room monitoring system are further improved.

The invention discloses an artificial intelligence-based tourism strategy automatic generation method, which belongs to the technical field of tourism strategy generation, and comprises the following steps: S1, tourism demand analysis, S2, dynamic physical strength and emotion prediction, S3, elastic scenic spot sorting and alternative generation, S4, cross-platform transaction, and S5, preference and strategy optimization. According to the method, a multi-modal model is utilized to analyze hidden information in texts, pictures and voices, for example, demands for barrier-free facilities are recognized from playing with the elderly, meanwhile, physiological data of intelligent equipment are accessed, and factors such as weather are combined to predict daily physical strength and emotion, so that the user experience is improved. The generated strategy is accurately matched with the real demand and the physical state of the user, the stroke discomfort caused by the demand understanding deviation is avoided, and the integrating degree of the playing experience of the user is improved.

The invention relates to the technical field of intelligent equipment interaction, and discloses a multi-screen cooperative control method and system based on a USB. The method comprises the following steps: acquiring task characteristics of each equipment screen, and analyzing screen vision composition according to the task characteristics to determine a task type; if the task type is a high-real-time category and the transmission link performance is poor, allocating a high-priority mark to the task and adjusting transmission resources; monitoring the execution state of the task with the high priority mark to determine a supplementary instruction; fusing the supplementary instruction and context sensing data to generate a final collaborative instruction set; and allocating and executing the collaborative instruction set, and performing feedback optimization by comparing an execution result with a preset task state. According to the method, by dynamically sensing the task and adaptively adjusting the instruction, the problem that in the prior art, the efficiency is not high due to the fact that a collaborative strategy is rigid is solved.

1. The name of the design product: battery box (4g). 2. The use of the design product: for a smart device integrating 4g communication module and battery power supply function, providing networking capability and mobile power support for terminal equipment. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

A smart device control method and system is provided. The smart device control method may include obtaining a control command, the control command being used for instructing the smart device to perform a target operation; determining whether the control command satisfies a preset condition; and in response to determining that the control command satisfies the preset condition, controlling the smart device to perform the target operation.

The invention discloses an audio signal howling suppression method and device, a storage medium and electronic equipment, and the method comprises the steps that a control terminal receives a current data frame sent by intelligent equipment, and the current data frame comprises a current audio signal collected by the intelligent equipment, the sending delay of the intelligent equipment and the latest network propagation delay; the control terminal determines end-to-end time delay based on the sending time delay, the network propagation time delay, the playing time delay and the receiving time delay of the control terminal, and determines final time delay based on the end-to-end time delay and a time delay estimation value calculated by the control terminal; and the control terminal performs howling suppression processing on the current audio signal based on the final delay. By applying the howling suppression method and device, the howling suppression effect can be guaranteed, and meanwhile the processing calculation amount is reduced.

In order to secure a door in a locked position without a key, such as to resist a forced entry through the door, a removable, non-intrusive, remotely-controlled door locking apparatus is provided, which includes a rear plate for attachment against a surface of a door using an adhesive substance, a flange that extends from the rear plate under the door, and a cover for enclosing components on the rear plate. A DC-powered linear actuator connected to the rear plate and at least one electronics module configured to communicate wirelessly is within the cover. A foot of the actuator is configured to be extended in a lock state against a floor surface to secure the door or retracted in an unlock state, based on either a wireless signal received from a remote smart device or the state of a manual switch located on apparatus to control the actuator.

The invention relates to the technical field of human-computer interaction, discloses a method and a device for realizing writing roaming and zooming on a Qt platform, and aims to solve the problems of poor writing continuity and poor zooming visual consistency of existing intelligent equipment during finger writing. According to the scheme, the method mainly comprises the steps that unified overall scaling of all graphic items is achieved by operating viewport transformation of QGraphics View; meanwhile, based on the coordinate increment of multi-finger sliding, setSceneRect is dynamically called to expand the QGraphicsScene boundary, and a centerOn method is utilized to synchronously adjust the viewport center, so that continuous and smooth roaming of the viewport following the fingers is realized. Overall zooming and intelligent roaming are coordinated to jointly construct a virtual writing interface which can be extended infinitely and is synchronous in zooming, so that the writing continuity of finger writing and zooming visual consistency are improved, and the method is particularly suitable for application scenes such as large-screen teaching and digital signature.

The invention discloses an ecological environment real-time monitoring method based on the Internet of Things technology, and the method comprises the steps: obtaining a monitoring strategy and task distribution data from a central command center through a layered command architecture, determining an intelligent equipment selection scheme, and obtaining optimal equipment configuration parameters. And deploying sensor network nodes, predicting a pollution diffusion trend by using the pollution diffusion model, and verifying and analyzing abnormal data. When the abnormal event feature exceeds a threshold value, an emergency response linkage process is triggered, and a dense monitoring mode is started. Equipment health state data is transmitted through an Internet of Things communication link, fault diagnosis and parameter adjustment are carried out, the transmission bandwidth is optimized, and adaptive speed limit control is realized. And finally, reconstructing a network topology structure through a network topology adaptive adjustment algorithm, and realizing real-time continuous coverage monitoring of the ecological environment. Through dynamic adjustment and intelligent optimization, the real-time performance, the accuracy and the system stability of environment monitoring are remarkably improved, and the method is suitable for complex and changeable environment monitoring scenes.

A high-security pet and child confinement gate designed to prevent unauthorized access. The gate incorporates advanced control mechanisms, such as a sensory circuit with a camera, capable of wireless communication with smart devices. The camera can be integrated or removable, providing image data to smart devices. The gate may include a free-spinning mechanism to deter climbing attempts, equipped with sensors and audio devices to produce deterring sounds. Additionally, the gate may include a pressure sensor and an audio device that emits ultrasonic sounds upon detecting crossing attempts. The communication module is adaptive, allowing interaction with cellular networks, Wi-Fi, or Bluetooth, and can receive commands from smart devices to enhance security measures, including sound playback, vibrations, and increased spinning speed.