923 results about "Connected device" patented technology

A multi-modal articulation system translates human gestures into control commands for digital and automation devices. The system integrates a camera module, which captures facial and hand movements, with an image processing unit that extracts facial features, such as eyebrow movement, lip curvature, eyelid motion, and eye trajectory. These extracted features are analyzed in real time by an articulation recognition module that compares them against a database to recognize specific gestures. The system tracks and processes air-drawn hand gestures using a gesture trajectory tracking unit, which converts the motions into digital representations and classifies them using deep learning algorithms. The recognized gestures are converted into machine-readable control signals and executed on various connected devices via a relay control unit. The system incorporates adaptive algorithms to improve accuracy, account for environmental conditions, and stabilize hand tremors, providing a gesture-based control interface for applications ranging from smart home systems to multimedia devices.

The invention relates to the technical field of power system communication, in particular to a protocol conversion and communication adaptation system for an optical storage and charging grid-connected device. Comprising a protocol conversion unit used for dynamically analyzing heterogeneous protocols of a photovoltaic inverter, an energy storage converter, a charging pile and power grid side equipment; a communication adaptation unit; an energy collaboration unit; a power grid interface unit; and a man-machine interaction unit. According to the method, the protocol mapping rule base is dynamically updated through the plug-in type architecture module and the machine learning algorithm, self-adaptive analysis of multiple heterogeneous protocols and variant protocols is achieved, the protocol analysis accuracy and generalization ability are improved, and the problem that a traditional static rule base is insufficient in adaptability to non-standard protocols is solved; according to the invention, the distributed edge computing architecture is adopted to construct the bidirectional communication link, so that the real-time performance and security of the communication link are improved, and the defects of high data delay and incomplete security mechanism in the traditional communication architecture are improved.

To provide a game machine that is improved regarding communication by a serial communication circuit between a main control section and a value control section.SOLUTION: A game machine comprises a main control section 161 for controlling a game, and a token number control section 171 for controlling a credit possessed by a player, wherein the token number control section 171 can be communicably connected to a CU control section 323 of a card unit 3 that is an external connection device. The main control section 161 and the token number control section 171 are microcomputers having the same specifications that have a first serial communication circuit SR1 and a second serial communication circuit SR2, wherein the main control section 161 communicates with the token number control section 171 by using the first serial communication circuit SR1, and the token number control section 171 communicates with the main control section 161 by using the second serial communication circuit SR2, and communicates with the CU control section 323 of the card unit 3 by using the first serial communication circuit SR1.SELECTED DRAWING: Figure 44

To provide a game machine that is improved regarding communication by a serial communication circuit between a main control section and a value control section.SOLUTION: A game machine comprises a main control section 161 for controlling a game, and a token number control section 171 for controlling a credit possessed by a player, wherein the token number control section 171 can be communicably connected to a CU control section 323 of a card unit 3 that is an external connection device. The main control section 161 and the token number control section 171 are microcomputers having the same specifications that have a first serial communication circuit SR1 and a second serial communication circuit SR2, wherein the main control section 161 communicates with the token number control section 171 by using the first serial communication circuit SR1, and the token number control section 171 communicates with the main control section 161 by using the second serial communication circuit SR2, and communicates with the CU control section 323 of the card unit 3 by using the first serial communication circuit SR1.SELECTED DRAWING: Figure 44

To provide a game machine that is improved regarding communication by a serial communication circuit between a main control section and a value control section.SOLUTION: A game machine comprises a main control section 161 for controlling a game, and a token number control section 171 for controlling a credit possessed by a player, wherein the token number control section 171 can be communicably connected to a CU control section 323 of a card unit 3 that is an external connection device. The main control section 161 and the token number control section 171 are microcomputers having the same specifications that have a first serial communication circuit SR1 and a second serial communication circuit SR2, wherein the main control section 161 communicates with the token number control section 171 by using the first serial communication circuit SR1, and the token number control section 171 communicates with the main control section 161 by using the second serial communication circuit SR2, and communicates with the CU control section 323 of the card unit 3 by using the first serial communication circuit SR1.SELECTED DRAWING: Figure 44

To provide a game machine that is improved regarding communication by a serial communication circuit between a main control section and a value control section.SOLUTION: A game machine comprises a main control section 161 for controlling a game, and a token number control section 171 for controlling a credit possessed by a player, wherein the token number control section 171 can be communicably connected to a CU control section 323 of a card unit 3 that is an external connection device. The main control section 161 and the token number control section 171 are microcomputers having the same specifications that have a first serial communication circuit SR1 and a second serial communication circuit SR2, wherein the main control section 161 communicates with the token number control section 171 by using the first serial communication circuit SR1, and the token number control section 171 communicates with the main control section 161 by using the second serial communication circuit SR2, and communicates with the CU control section 323 of the card unit 3 by using the first serial communication circuit SR1.SELECTED DRAWING: Figure 44

To provide a game machine that is improved regarding communication by a serial communication circuit between a main control section and a value control section.SOLUTION: A game machine comprises a main control section 161 for controlling a game, and a token number control section 171 for controlling a credit possessed by a player, wherein the token number control section 171 can be communicably connected to a CU control section 323 of a card unit 3 that is an external connection device. The main control section 161 and the token number control section 171 are microcomputers having the same specifications that have a first serial communication circuit SR1 and a second serial communication circuit SR2, wherein the main control section 161 communicates with the token number control section 171 by using the first serial communication circuit SR1, and the token number control section 171 communicates with the main control section 161 by using the second serial communication circuit SR2, and communicates with the CU control section 323 of the card unit 3 by using the first serial communication circuit SR1.SELECTED DRAWING: Figure 44

Methods and systems for optimizing topology of a wireless backhaul communication network are disclosed. The network comprises a plurality of nodes. Each node reports load type information, indicative of data generation requirements of connected devices, and link quality information, indicative of communication link quality with neighboring nodes, to a controller. Due to the large number of possible network topologies, which precludes exhaustive evaluation, a non-analytical shortcut process is used to generate a subset of candidate network topologies. This process identifies candidate topologies based on the received load type and link quality information. The network is configured according to a selected topology from the subset, and its actual performance is measured. If performance is unsatisfactory, the network is reconfigured using another topology from the subset. The non-analytical shortcut process may utilize an AI model, a heuristic algorithm, or a combination thereof. A method of training such AI model is also presented.

The invention provides a lightweight multi-model collaborative edge intelligent target detection system and a lightweight multi-model collaborative edge intelligent target detection method, belongs to the technical field of edge target detection, and aims to solve the problem that a traditional target monitoring scheme depends on a cloud server to carry out deep learning model reasoning; in order to solve the problem that high-precision and low-delay real-time target monitoring cannot be realized on a resource-limited edge device, the detection system comprises an edge calculation module, an image acquisition module and a storage module. The detection method comprises the following steps: acquiring a to-be-detected image, and calling an IPS module through a performance core and an energy efficiency core to pre-process the acquired image; optimizing the YOLO model, and inputting the preprocessed image into a deep learning model; performing target detection on the preprocessed image data through a deep learning model; and a detection result is input into the storage module for storage and is uploaded to equipment connected with the peripheral interface for visual display and a remote monitoring center.

The invention provides a computing device interconnection architecture and a communication method. A plurality of computing resource groups and a plurality of switches are constructed; for each computing resource group, the computing resource group comprises a plurality of computing devices which are interconnected; for different computing resource groups, the computing devices belonging to the different computing resource groups are connected through a target switch in the plurality of switches, and the target switch corresponds to the intra-group serial numbers of the computing devices; the plurality of interconnected computing devices are connected through the same interconnection communication technology, and the computing devices and the target switch are connected through the same interconnection communication technology. According to the architecture and the method provided by the invention, under the condition that the number of the devices which can be connected with the computing device is limited, the number of the devices which can be in interconnection communication with the computing device under an interconnection communication technology is greatly increased, and then on the premise that the compatibility and the communication performance are guaranteed, the implementation of larger-scale computing device networking is facilitated.

The invention provides a resource management method and device, a storage medium and a program product, which can be applied to the technical field of servers. The resource management method comprises the steps of obtaining preset resource information of a data processor from a storage unit of a server in response to a starting instruction of the server; based on the preset resource information, allocating corresponding hardware resources to the equipment to be accessed to the data processor; monitoring equipment parameters actually accessed to the data processor so as to update the preset resource information according to the actually accessed equipment parameters under the condition that the actually accessed equipment parameters are determined to be inconsistent with parameters in the preset resource information; and dynamically adjusting the hardware resources of the equipment of which the equipment parameters are changed relative to the preset resource information in the data processor by utilizing the updated resource information.

An adaptive IoT power plug system for intelligent load management and remote control, consisting of: a power plug housing configured to be inserted between a power outlet and an electrical appliance; an embedded sensor array comprising at least one voltage sensor, at least one current sensor, and at least one power sensor and configured to continuously monitor the electrical parameters of the connected device; a microcontroller unit (MCU) operatively coupled to the sensor array and configured to execute a load prioritization technique that dynamically determines power allocation based on real-time consumption data and user-defined priority levels for one or more connected loads; a semiconductor switching module electrically connected to the MCU and configured to selectively interrupt or modulate the power supply to the connected device based on commands from the load prioritization technology; a wireless communication module integrated into the MCU for bidirectional data exchange via at least one wireless protocol selected from Wi-Fi, Zigbee or Bluetooth Low Energy; a user interface that can be accessed remotely via a mobile or web application and enables the configuration of load priorities, real-time monitoring of power consumption, scheduling of device operation, and manual override of switching commands; and a power management subsystem including a power harvesting module configured to provide supplemental power to the system's electronic components, thereby reducing dependence on the main power source; The system autonomously adjusts the power distribution between multiple connected devices to load fluctuations and predefined user priorities in order to optimize energy efficiency and prevent overloading of the circuit.

A method of hybrid technical support includes receiving, by a network-connected device, a first user prompt including at least one technical support query and generating, by a language model executed by the network-connected device, a first natural-language response to the first user prompt, the first natural-language response configured to elicit first additional information describing the at least one technical support query. The method further includes receiving, by the network-connected device, a second user prompt including the first additional information describing the at least one technical support query, generating a pre-summarization prompt based on the first user prompt and the second user prompt, generating a summarization of the pre-summarization prompt using a language summarization model executed by the network-connected device, and providing the summarization to a support technician device configured to be operated by a support technician. The language summarization model is configured to generate summaries of text prompts.

An electronic device, a method and a computer program product for surfacing notifications based on optimal network and device conditions at a consumer device. The method includes receiving from a network connected device, a notification associated with local consumption of content available for presentation by a communication device, the notification including metadata associated with the content, the metadata encoding content consumption criteria related to preferences for when and how to present the content, in part based on network conditions at the communication device. The method includes detecting one or more current network conditions and comparing the current network conditions with network constraints within the content consumption criteria encoded in the metadata. The method includes selectively presenting the content for consumption at one or more of a time or in a format determined, at least in part, by the detected one or more network conditions.

The present application discloses a contact network device, a smart car, a smart network system and a transportation system. The contact network device is installed on the car. The smart network system includes a network information system and a network power supply system. The network power supply system includes a contact network connected to the contact network device. The contact network provides electricity and basic sensor information for the car. The network information system interconnects the contact network device, the smart car and the contact network information to form a vehicle network. The smart car equipped with the contact network device and the smart network system constitute a new transportation system. When the car is traveling on a road with smart network system facilities, the smart network system provides electricity and sensor information, and the car is driven by a person or automatically drives forward. When the car is traveling on a road without smart network system facilities, it is powered by a battery or an internal combustion engine, and can be driven by a person or a simple remote control driving system provides information to enable the car to move forward, solving the problems of electric vehicle charging, endurance and automatic driving application.

The invention discloses a resource processing method and electronic equipment, and relates to the technical field of resource management, and the method comprises the following steps: in the starting process of the electronic equipment, analyzing a group of specified registers indicated by configuration space information of connected equipment in a plurality of connected equipment, the method comprises the steps of obtaining resource information of a plurality of connected devices, obtaining resource configuration information, and allocating specified resources to the connected devices in the plurality of connected devices based on the resource configuration information and the resource information of the connected devices in the plurality of connected devices. According to the resource allocation method and device, the technical problem of resource allocation mismatching caused by firmware information misidentification in the prior art is solved, and the technical effect of improving the accuracy of resource allocation is achieved.

The invention discloses a computer system based on a cross-model Internet of Things equipment access efficiency calculation model, which integrates an equipment performance sub-model, a network state sub-model and a response prediction sub-model. The identification module is used for identifying a device inherent identifier of the Internet of Things device to be accessed so as to obtain a response time statistical characteristic value and a historical communication parameter set; the prediction module is used for acquiring network state parameters in real time, calling the response prediction sub-model to calculate expected response time, and optimizing the historical communication parameter set to generate an initial communication parameter set; the comparison module is used for monitoring the actual response delay and the data packet loss rate of the current access equipment and obtaining a delay deviation value; and the adjusting module is used for dynamically adjusting the bandwidth allocation strategy in the initial communication parameter set when a preset condition is met, and synchronously updating the data analysis priority to generate a target communication parameter set. According to the invention, differentiated access control of different types of Internet of Things equipment can be realized.

The invention discloses a self-adaptive frequency collaborative support method and system for an energy storage and new energy grid-connected device under a weak power grid, and the method comprises the steps: firstly determining the expandable active power, locking the frequency of a grid-connected point of the weak power grid, and inputting the frequency into a neuron model; and then constructing a fuzzy rule reasoning table, defuzzifying to obtain an adaptive neuron proportionality coefficient, determining an adaptive correction amount of a frequency reference value, and calculating a reference value of total active power. Safe operation and equipment protection of the system are considered at the same time, the power adjustment range and the power change rate of the unit are limited, an economic-frequency collaborative optimization objective function is established, a power reference value is obtained through calculation, and then a power instruction is issued; and finally, monitoring the actual output power of the station, and giving out early warning when the deviation exceeds a threshold value. According to the method, the correction amount of the frequency reference value is determined from the perspective of eliminating the frequency steady-state error of the weak power grid, the active power is distributed from the perspective of collaborative support, and the collaboration, economy and reliability of the output of the energy storage device and the new energy station are realized.

A method for regulating road traffic in which each vehicle of at least one portion of vehicles carries on board a connected device and a user interface connected to the connected device. The method includes: obtaining, from at least the connected devices, at least one datum relating to movement of at least one vehicle of the plurality; identifying a traffic situation based on the data; and based on the identified traffic situation, generating respective recommendation messages to be transmitted to the respective user interfaces, where applicable, each recommendation message including at least one instruction to be adopted by at least one vehicle of the at least one portion of the vehicles and / or by at least one connected device that is not carried on board the vehicles, to streamline the traffic situation. The at least one datum including, for each connected device, a score associated with the connected device.

A method for monitoring the line impedance of a protective earth (“PE”) conductor is provided. The method injects a small stimulus current at a frequency much higher than the grid frequency. The stimulus current circulates in the loops between a grid-connected device and a grid source, creating small voltage drops in the grid conductors, resulting in a common mode voltage which can be measured. The method then includes measuring the common mode voltage and the residual current at a point of common coupling (“PCC”). The method then includes monitoring the resistive and reactive parts of the line impedance. For example, the method can monitor the line impedance and report a broken PE conductor or a high PE resistance, beyond a given threshold where safety becomes a concern.

In one embodiment, a device receives a request from a client to remotely access an endpoint in a local network. The device instantiates a network slice having a remote access function in a cellular network. The device causes the endpoint to communicate a particular type of traffic via the network slice and the remote access function. The device configures a virtual private network tunnel between the client and the remote access function. The client and endpoint communicate with one another via a connection that comprises the network slice and the virtual private network tunnel.

The invention relates to the technical field of power bank control systems, in particular to an AI voice-based power bank control system, which comprises a voice interaction module, an equipment recognition module, an environment sensing module, a dynamic charging management module and a control center module, the voice interaction module is used for receiving a voice instruction of a user and analyzing the instruction content through a natural language processing technology; the device identification module is used for detecting the type of a connected device and a charging protocol, and obtaining the real-time charging demand of the device. The environment sensing module is used for acquiring an environment noise value # imgabs0 # and a temperature value # imgabs1 # of a charging environment; and the dynamic charging management module is used for dynamically adjusting the output power according to the equipment type, the environmental parameters and the historical charging data of the user. According to the invention, through environment perception and dynamic threshold determination, the voice interaction robustness is optimized, real-time adaptive adjustment of the charging strategy is realized, and the method is especially suitable for complex scenes such as travel, outdoor and the like.

According to the PCIe Switch system and the PCIe switch, a PCIe hardware IP is used as a bottom layer, and a basic PCIe interface function for physical layer and link layer management is provided; and identifying and configuring all connected devices to construct a device address routing mapping table through a Soft Switch IP mounted on the PCIe hardware IP, and determining a specific target of data transmission based on the constructed mapping table so as to route the data to a specific position of the corresponding device. According to the invention, flexible equipment enumeration can be carried out by selecting a pure hardware mode or a software and hardware combined mode according to actual requirements, so that the data can be correctly and efficiently transmitted to the target endpoint from the source equipment, and the complex problems of address resolution and routing management are solved. Compared with the prior art, the method can replace the existing PCIe Switch IP of a manufacturer, provides higher flexibility and expansibility, obtains better balance in the aspect of cost control, and is suitable for various applications needing large-scale PCIe equipment connection, virtualization and high-speed data exchange.

In response to intercepting (106), by a customer-premises equipment, CPE, a connection request from a connected device to an external encrypted domain name system, DNS, server, blocking (108), by the CPE, the connection request to cause the connected device to fall back to a use of an unencrypted DNS. And, in response to intercepting (110), by the CPE, an unencrypted DNS query from the connected device, performing (124), by the CPE, a cybersecurity operation related to the unencrypted DNS query.

The invention relates to the technical field of artificial intelligence chips, and provides a topology management method and system, electronic equipment and a storage medium, and the method comprises the steps: receiving equipment link information and switch port information reported by each client; based on a model distributed training mode and the equipment link information and the switch port information of each client, generating equipment external interconnection topology information; and issuing the device external interconnection topology information to each client, so that each client analyzes the device external interconnection topology information and performs topology configuration on each local interconnection device based on an analysis result, and the interconnection devices are devices connected with a switch box. According to the invention, each client automatically reports the local equipment link information and the switch port information, and the server automatically generates the external interconnection topology information of the equipment and issues the external interconnection topology information to each client, so that automatic topology configuration is realized, the configuration process is greatly simplified, and the configuration efficiency is improved.

Disclosed herein is a method of distributing data to target devices using predefined network configuration, comprising broadcasting one or more predefined network identifiers via one or more networks accessible to one or more target devices, the one or more predefined network identifiers identify the access device in the network(s), receiving a connection request from one or more of the target devices to join the network(s) according to the predefined network identifier(s), establishing a communication session with the target device(s) via the network(s), receiving one or more update requests for one or more update packages from one or more of the target devices, and transmitting, responsive to determination that the update package(s) is available to the access device, the update packages to the target device(s) which is adapted to apply the one or more of the received update packages.

The invention discloses an intelligent parameter control method and system for wear-resistant coating cladding process optimization, and relates to the technical field of material processing. Comprising the following steps: establishing a database, marking a variable parameter value of each device, calibrating associated parameter items of each device to a device connected with the device, and carrying out laser cladding operation according to the database; obtaining production demand data, and adjusting corresponding parameter values of corresponding equipment; when the corresponding parameter value of the corresponding equipment changes, the other parameter values of the corresponding equipment and the multiple parameter values of the related equipment are dynamically adjusted on the basis of the dynamic regulation and control method, and the parameters of the equipment can be continuously adjusted according to the production demand data in the production process until the production demand data are met; in addition, parameter change data in the continuous adjustment process can be recorded, direct calling can be conveniently carried out when the same production requirement is generated subsequently, the dynamic adjustment method can be continuously optimized, and therefore the production efficiency is improved.

The invention discloses an explosion-proof soft bus adapter based on an open source gap, which adopts an industrial-grade domestic chip, a multifunctional interface and a hardware national secret security chip, and is configured with a strict explosion-proof and explosion-proof design. According to the invention, a deeply-customized lightweight open source gap is taken as a core, a distributed soft bus technology is fully utilized, a plurality of adapters and connected equipment are fused into a super equipment body, and seamless collaboration and resource sharing among the equipment are realized. On-site intelligent decision making and autonomous closed-loop control are carried out through edge calculation, a machine learning model and an industry atomization service which are embedded in the system and an enabling adapter. The invention aims to quickly realize the wide-gap and intelligent access of the traditional instrument equipment, so that the safety, autonomous capability and intelligent level of the gas field station are remarkably improved.

A battery pack power transfer adaptor and a battery pack system that includes a battery pack adaptor. The adaptor enables a battery pack to provide high level power transfers to a variety of devices and to receive high level power transfers from a variety of power sources. The adaptor includes a battery pack interface to enable the adaptor to mechanically and electrically connect to the battery pack. The adaptor is able to transfer power at a variety of levels dependent upon the device to which it is attached.

The present application relates to the technical field of software engineering, and provides a device management method and apparatus, a device, and a storage medium, which are used for performing automatic identification when a device is connected, and enabling a corresponding function, thereby achieving plug-and-play of the connected device. The method comprises: when detecting that a device is connected to a port, an inverter identifies a device type of the connected device, and establishes a communication connection with the connected device if the device type of the connected device is successfully identified; furthermore, the inverter enables a function corresponding to the device type of the access device.