134 results about "Wifi network" patented technology

Disclosed are computerized systems and methods for a highly scalable, cloud-based AI / ML execution platform. The disclosed systems and methods provide a computerized framework that can generate and execute AI / ML models that provide agile, real-time predictions that can facilitate, cause and / or provide instructions for high-fidelity, real-time management of a multitude of cloud-based WiFi network locations, inclusive of the access points and / or user equipment operating therefrom / therein. The framework can cause a ML model to be trained that is then executed to generate a location-specific AI model that can then be executed to predict how a network can and / or should be configured based on current characteristics at the location, which can then be managed and put into place on at the location via the framework.

The invention discloses an intelligent detection method, device and equipment for a Portal authentication page and a medium, and relates to the technical field of Portal authentication, and the method comprises the steps: a relay device is connected to a target WiFi network, and then sequentially initiates an HTTP request to at least two reference detection URLs belonging to different service providers; analyzing an HTTP response state code of each request, and if the state code is a state code indicating redirection, judging that a Portal authentication page exists and extracting a jump address from a response head; if the status code is a successful status code but the response content is not matched with a preset successful identifier, analyzing the HTML content of the response, searching and extracting the URL indicated by the embedded jump instruction, and if the extraction is successful, judging that a Portal authentication page exists; and displaying the obtained Portal authentication page address to a user through a Web management interface of the relay equipment. According to the method, multi-source detection and multi-layer analysis are implemented on the relay equipment side, the detection compatibility and reliability are remarkably improved, and a unified network side interaction entrance is provided to ensure that a user can reliably complete authentication.

The invention discloses a terminal network distribution system and method, and belongs to the technical field of smart home. The system comprises a terminal and a control terminal. The terminal is used for continuously sending Bluetooth broadcast data after being powered on, and the Bluetooth broadcast data carries a first encrypted message; the control end is used for obtaining a second encrypted message after receiving the Bluetooth broadcast data, and the second encrypted message is generated in response to successful decryption of the first encrypted message; and the terminal is also used for establishing a Bluetooth connection with the control end after receiving the second encrypted message and successfully decrypting the second encrypted message, so as to access the WIFI network through the control end. According to the invention, the terminal continuously sends the Bluetooth broadcast data after being electrified, so that the terminal can automatically enter the network distribution state to continuously send the Bluetooth broadcast data without actively controlling the terminal by a user, and the user experience in the network distribution process of the terminal is improved.

The invention discloses a WiFi connection method and system of a non-screen device, a terminal device and a medium, and relates to the technical field of device network distribution. The method comprises the steps that the method is applied to WiFi distribution network control equipment, and after the non-screen equipment is started, a bidirectional data interaction channel supporting instruction transmission and function calling between the WiFi distribution network control equipment and the non-screen equipment is established through a debugging tool matched with an operating system to which the non-screen equipment belongs; calling a preset WiFi network distribution tool integrated in the non-screen equipment through the channel; based on a guide type interaction instruction output by the tool, sequentially sending connection parameter information, and controlling the non-screen equipment to complete authentication connection with the target WiFi network; and in the channel connection state, sending a network connectivity verification instruction, and judging whether the WiFi network is successfully accessed according to a feedback result of the non-screen equipment. According to the invention, the problem that the WiFi connection of the existing non-screen equipment needs an additional screen or hardware is solved, a more accurate and efficient connection method is provided, and the WiFi connection requirement of the non-screen equipment is met.

The application discloses a call routing method and system, an electronic device and a readable storage medium. The method comprises the following steps: a service call session control function (S-CSCF) network element receives a call request message initiated by a calling terminal, wherein the call request message carries a called number of a called terminal; in the case that it is determined that a target network in which the called terminal is located is a WIFI network, the call request message is sent to the called terminal through an interconnection session border controller (ISBC) and an access side proxy server; wherein the called terminal is in communication connection with the access side proxy server through the WIFI network, and the access side proxy server is in communication connection with the ISBC.

The invention discloses an intelligent hardware equipment network distribution method and device based on a Wi-Fi promiscuous mode, and is applied to the technical field of data processing. Intelligent hardware equipment presets a WiFi decryption rule agreed with a mobile phone APP, automatically enters the WiFi promiscuous mode when power is on and network distribution is not carried out, and prestores an intelligent hardware equipment identifier and cloud communication parameters; wiFi data frames conforming to a frequency band are received in a promiscuous mode, and effective data packets are filtered and screened according to rules; extracting a payload part, verifying the payload part, decrypting the payload part to obtain an SSID (Service Set Identifier) and a password of the target WiFi, and switching to a Station mode; processing the decryption information to generate connection scene information, and further generating connection operation information; and converting into an actual connection action, adapting to the attribute of the router, and generating related parameter information, so that the intelligent hardware equipment successfully accesses the target WiFi network.

Embodiments of the present disclosure relate to a device network configuration method and apparatus, a device and a medium, wherein the method comprises applying to a gateway, the gateway supporting Bluetooth Low Energy (BLE) protocol and Zigbee protocol; the method comprises: in the case of having established a BLE communication connection with a target device, sending a network configuration instruction carrying Zigbee network information to the target device through a BLE network, so that the target device accesses a Zigbee network based on the Zigbee network information; wherein the target device supports the BLE protocol and the Zigbee protocol; obtaining and storing device information of the target device through the Zigbee network; in response to receiving a network configuration instruction carrying wireless fidelity (WIFI) network information sent by a user device, communicating with a server based on the WIFI network information, sending the device information of the target device to the server, so that the server associates the target device with the gateway and the user device, and sends the device information to the user device. The embodiments of the present disclosure make the device network configuration operation of the user more simple and convenient, and can effectively improve the user experience.

1. The name of the design product: WIFI (YM-M03S). 2. The use of the design product: for providing WIFI network hotspot access, network communication, etc. for multiple mobile communication devices (such as mobile phones, tablets, etc.). 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention discloses a content downloading method and device and a related product. Evaluating the wifi network card link and the cellular network card link to obtain a first link quality score corresponding to the wifi network card link and a second link quality score corresponding to the cellular network card link; according to the first link quality score and the second link quality score, distributing a first sub-content size in the content size to a wifi network card link, and distributing a second sub-content size in the content size to a cellular network card link; and downloading the size of the first sub-content through the wifi network card link to obtain the first sub-content in the to-be-downloaded content, and downloading the size of the second sub-content through the cellular network card link to obtain the second sub-content in the to-be-downloaded content. Therefore, the downloaded content can be obtained without waiting for all the network cards to download the content, so that the content downloading performance is improved.

The invention provides a WiFi network digital down-conversion system which comprises a multi-phase mixer and a resampling filter. The multi-phase mixer is used for converting a high-speed digital band-pass signal into a low-speed mode so as to realize digital down-conversion (DDC) on an FPGA (Field Programmable Gate Array) platform; and the resampling filter is used for reducing the sampling rate and removing unwanted frequency spectrum components to generate a complex baseband frequency spectrum. The multi-phase mixer PM of the present invention employs a parallel coordinate rotation digital computer (CORDIC) processor and a low pass filter array to reduce high speed data rates while minimizing resource utilization. The resampling filter comprises a cascade integral combination (CIC) filter and a multi-channel pulse finite impulse response (FIR) filter, optimal hardware cost is achieved, a floating point data type is converted into a fixed point data type, and resources are remarkably saved.

1. Name of the product in this design: Emergency Rescue Button (Circular). 2. Purpose of this design: To send emergency help signals via phone, SMS, or APP to preset contacts through WiFi network, ensuring that relevant personnel are informed of the danger in a timely manner. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

This invention provides a WIFI network device with fixed-frequency testing function, belonging to the field of WIFI module testing technology. The WIFI network device with fixed-frequency testing function includes a main control module containing fixed-frequency testing software, a power module, a function control module, and a storage module connected to the main control module, a WIFI module, and a switch module. The switch module is located between the power module and the WIFI module, and its control terminal is connected to the main control module. The switch module is used to control the WIFI module to enter fixed-frequency mode or normal operating mode. The advantages of this invention are: more accurate testing, helping users understand the network status in real time and promptly identify potential problems.

Disclosed are systems and methods that provide a computerized network management framework that provides novel network functionality for devices connected to and / or operating in proximity to WiFi and non-WiFi networks. The framework provides functionality for all types of network traffic to be handled properly and handed over between two networks seamlessly with minimal interruptions. The disclosed framework operates to transition a device's connection to a non-WiFi network (e.g.., cellular network) from a WiFi network, and vice versa. Such performance of such functionality can correspond to, but is not limited to, network characteristics, parameters and / or attributes, network health, and the like, as well as geospatial positioning of the device, inclusive of the device's movement, which can be in relation to an access point or gateway for a network.

The application relates to the technical field of wireless communication networks, and relates to a WiFi8 multi-link cooperative scheduling method and system, which comprises the following steps: confirming a WiFi8 router, confirming a plurality of available links and a reference time, performing time calibration on each link station in a link station set, obtaining a calibrated link station set, confirming a plurality of calibrated available links, acquiring a time wheel cycle length and a cycle time slot quantity, setting each calibrated available link in the plurality of calibrated available links, obtaining a set of calibrated available links that have been set, sending a deterministic flow request frame, if the maximum tolerable time delay length is greater than or equal to the time wheel cycle length, acquiring an optimal transmission link, and completing WiFi8 multi-link cooperative scheduling based on the optimal transmission link. The application can improve the time delay certainty guarantee capability of a WiFi network in a complex wireless environment.

Disclosed are computerized systems and methods for a highly scalable, cloud-based AI / ML execution platform. The disclosed systems and methods provide a computerized framework that can generate and execute AI / ML models that provide agile, real-time predictions that can facilitate, cause and / or provide instructions for high-fidelity, real-time management of a multitude of cloud-based WiFi network locations, inclusive of the access points and / or user equipment operating therefrom / therein. The framework can cause a ML model to be trained that is then executed to generate a location-specific Al model that can then be executed to predict how a network can and / or should be configured based on current characteristics at the location, which can then be managed and put into place on at the location via the framework.

The invention provides an intelligent printer remote monitoring and data collaboration system based on the Internet of Things, and relates to the technical field of the Internet of Things, and the system comprises a sensing layer, an edge layer, a cloud layer and an application layer which are adaptive to printing equipment, and the sensing layer and the edge layer are in data transmission connection through a dual-mode communication module. The edge layer and the cloud layer realize bidirectional interaction through a 5G / WiFi network, and the cloud layer completes cross-platform data collaboration with an enterprise OA system and an ERP system; a four-level architecture of a sensing layer, an edge layer, a cloud layer and an application layer is adopted, all levels are clear in division of labor and smooth in data interaction, the sensing layer directly collects equipment core operation data and configures a security encryption sub-module, the AES-256 algorithm is adopted to encrypt the equipment operation data and printing task data in real time, identity authentication is completed through an equipment unique identifier (UUID), and the equipment core operation data and the printing task data are encrypted in real time. Information leakage and tampering risks are avoided from a data source, and the security and privacy of enterprise printing data are guaranteed.

Various embodiments comprise systems, methods, architectures, mechanisms and apparatus for managing service provider network nodes in a converged network by inserting mobile network UE information into WiFi network communications such that a WiFi control entity may, in response to determining that the UE-inserted information is indicative of a jamming condition at a Citizens Broadband Radio Service Devices (CBSDs) providing mobile network services to the UE, communicate the identification of such UE to various provider equipment such that CBSDs experiencing jamming signals may be identified and mitigation steps taken.

A real-time resource allocation method for IEEE 802.11be WiFi based on deep deterministic policy gradient includes the following steps: 1) establishing an IEEE 802.11be WiFi network model; 2) determining the mobility model, path loss model, and interference model adopted by the network; 3) deriving the network throughput expression; 4) proposing an optimization problem with maximizing the minimum throughput as the objective function. This optimization problem aims to optimize the allocation of power, channels, and resource units in real time, thereby improving the network's minimum throughput; 5) designing a real-time resource allocation algorithm based on deep deterministic policy gradient to solve the optimization problem, realizing real-time resource allocation for IEEE 802.11be WiFi. This invention can effectively improve the network's minimum throughput.

The embodiment of the invention provides a VoWiFi control method and device, a storage medium and a product, and relates to the technical field of communication. The method comprises the following steps: determining a current position area of terminal equipment and mobile network subscription information of the terminal equipment; if both the location area and the mobile network subscription information support the VoWiFi function, inquiring available information of the VoWiFi function of a target WiFi network currently connected with the terminal equipment in a set database; and controlling the use of the VoWiFi function of the terminal device based on the query result. According to the invention, when the VoWiFi function of the WiFi network is inquired to be unavailable for the first time, the VoWiFi function of the terminal equipment is directly closed, and when the terminal equipment is connected with the WiFi network next time, the VoWiFi function of the terminal equipment does not need to be started, so that the power consumption of the terminal equipment is reduced.

The invention discloses a verification code acquisition method and system based on SIM (Subscriber Identity Module) card identity verification, and the method comprises the following steps: receiving a target mobile phone number input by a user, and providing an interaction option for triggering the SIM card identity verification; detecting whether the current equipment is connected with the WiFi network or not; if so, loading a verification code acquisition page, and collecting SIM card identification information in the current equipment; transmitting the target mobile phone number and the collected SIM card identification information to a server for identity verification; the server verifies whether the target mobile phone number is matched with the SIM card identification information based on a pre-stored binding relationship; and if yes, generating a verification code and transmitting the verification code to the verification code acquisition page for display. According to the technical scheme, the verification code can be successfully obtained as long as an available WiFi network exists, and smooth login of a user is guaranteed; the core identity verification is based on the physical hardware identification of the SIM card, so that the safety performance is improved.

The invention relates to the technical field of data compression and transmission of the Internet of Things, in particular to a thermometer measurement data transmission method based on a WIFI network, which comprises the following steps: acquiring an original temperature sequence, performing smooth correction, performing dynamic segmentation according to a temperature change rate and steady state duration, and extracting paragraph feature vectors. And performing adaptive compression on the feature vector by using a pre-training model to generate a compressed feature code stream. And performing differential comparison on the current compressed code stream and the reference code stream in the historical cache to generate a differential feature update packet, and packaging the differential feature update packet and the decoding auxiliary information into a transmission frame. And dynamically selecting a rate and a fragmentation strategy according to the real-time WIFI channel quality to complete data transmission. According to the method, efficient characterization and low-redundancy transmission of temperature data are achieved through dynamic segmentation and differential compression mechanisms, and equipment power consumption and network bandwidth are effectively saved.

Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and / or dynamically provides mechanisms for managing, optimizing and configuring a WiFi network at a location. The framework provides network management utilizing edge processing capabilities to bridge local WiFi and cloud systems. The framework implements comprehensive device typing through multi-layered analysis combining passive monitoring, deep packet inspection and hybrid deterministic-probabilistic classification methods. State synchronization between local and cloud networks can be achieved through hierarchical data modeling and differential synchronization algorithms. The framework can implement advanced features that include automated channel optimization, QoS management, and security monitoring. The framework incorporates self-healing capabilities using reinforcement learning techniques and maintains operational efficiency through intelligent resource management and workload distribution. The framework can operate autonomously while requiring minimal cloud connectivity, featuring extensible architecture through a plugin system that enables adaptation to evolving network requirements while maintaining stable operation of existing capabilities.

The invention discloses a medical voice calling method and system, and the method comprises the steps that an equipment end recognizes a user voice instruction, and executes a task of calling a server or configuring a network according to the user instruction; when a user sends a network configuration instruction, the device end enters a network distribution mode, and configures a name and a password of a WiFi network needing to be connected and an IP address of a server; when a user sends a call instruction, an'answering 'button and a'refusing' button pop up from an interface of the server side, and an audio call is established with the user if'answering 'is selected; and in the audio call process, the equipment-side microphone collects audio data and transmits the audio data to the server-side loudspeaker for playing, and the server-side microphone collects audio data and transmits the audio data to the equipment-side loudspeaker for playing. According to the invention, convenient voice instruction triggering and real-time conversation functions can be realized, and the method is suitable for medical scenes and other scenes requiring efficient voice communication.

1. The name of the design product: WIFI (YM-M03D). 2. The use of the design product: for providing WIFI network hotspot access, network communication, etc. for multiple mobile communication devices (such as mobile phones, tablets, etc.). 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

Disclosed are systems and methods of a novel computerized framework that automatically and dynamically configures power management modes and consumption for electronic devices and equipment at a location. The framework operates to enable wireless connectivity within a reduced power consumption environment at the location. For example, when no-grid connected power source is available, via operation of the disclosed framework, the devices providing and / or connecting to WiFi networks can operate in a modified manner that enables such connectivity. Thus, the framework provides technical mechanisms to provide functionality for network connectivity in low power applications while maintaining the overall experience for users, in addition to enabling connectivity to such wireless networks when, under conventional mechanisms, such connectivity would not be possible under current network configurations / topologies.

The application discloses a network connection method, an electronic device and a readable storage medium, and belongs to the technical field of terminals. The method comprises the following steps: starting a first application program, wherein the first application program is an application program in the electronic device; in the process of data interaction between the first application program and an AP device, the first application program performs data transmission with the AP device through a first network connection and / or a second network connection, the first network connection is a wireless fidelity (WiFi) network connection established between the AP device and a STA interface in a first frequency band, the second network connection is a WiFi network connection established between the AP device and a P2P interface in a second frequency band, and the second frequency band is different from the first frequency band. In the case that the WiFi network connection between the AP device and the STA interface in one frequency band is established, the WiFi network connection between the AP device and the P2P interface in another frequency band can also be established, so that multi-link connection is realized.

Disclosed are systems and methods that provide a computerized network management framework that provides functionality for devices connected to and / or operating in proximity to WiFi networks. The framework can determine and implement functionalities for the design of a network topology, whereby redundant pathways can be ensured by providing multiple paths for data between nodes, enhancing reliability and load balancing. The disclosed framework can enable automatic reconfiguration if a node fails or new nodes are added, such that an automatic topology adaptation to current environments / conditions is provided. The framework provides a mesh solution that is dependent on each location's unique client landscape that provides functionality for customized mechanisms to inject device information into the mesh topology optimization.

1. The name of the design product: control duct machine graphical user interface for electronic equipment. 2. The use of the design product: control graphical interface. 3. The design points of the design product: the content of the graphical user interface embodied on the screen of the product. 4. The picture or photo that best indicates the design points: front view. 5. The human-computer interaction mode of the graphical user interface: the graphical user interface of the product is located on the center console screen in the front view, and the air conditioning control mode is adjusted through human-computer interaction operation. The front view is the off state of the center console screen, the interface change state diagram 1 is the on state of the center console screen; click the SET UP button in the front view to enter the interface change state diagram 2, and the function list is selected; click the "Wifi" icon in the interface change state diagram 2 to enter the interface change state diagram 3, and the interface change state diagrams 3 and 4 are WiFi network configuration interfaces; click the "Time / Clock" icon in the interface change state diagram 2 to enter the interface change state diagram 5, and the interface change state diagram 5 is a time / timer setting interface; click the "Fault" icon in the interface change state diagram 2 to enter the interface change state diagram 6, and the interface change state diagram 6 is a fault display interface; click the "Specification" icon in the interface change state diagram 2 to enter the interface change state diagram 7, and the interface change state diagrams 7 and 8 are parameter list interfaces; click the "Power Failure Memory" icon in the interface change state diagram 2 to enter the interface change state diagram 9, and the interface change state diagram 9 is a power failure memory selection interface; click the "Convert" icon in the interface change state diagram 2 to enter the interface change state diagram 10, and the interface change state diagram 10 is a Celsius / Fahrenheit selection interface; click the "Rs485 set" icon in the interface change state diagram 2 to enter the interface change state diagram 11, and the interface change state diagram 11 is a 485 communication setting interface; click the test button in the interface change state diagram 2 to enter the interface change state diagram 12, and the interface change state diagram 12 is a capability test setting interface; click the "Manual setting" option in the interface change state diagram 12 to enter the interface change state diagram 13, and the interface change state diagram 13 is a factory test setting interface; short press the power plug icon in the upper right corner of the interface change state diagram 1 to enter the interface change state diagram 14, and the interface change state diagram 14 is a power limit setting interface.

This application discloses a WiFi list refresh method, electronic device, and storage medium to solve the feedback delay problem caused by relying on scan results for refresh in traditional WiFi connection processes. In response to a user-triggered WiFi connection operation, this application obtains a preset list of available WiFi networks based on the user's location; in response to a user's WiFi connection request triggered by a target WiFi network in the available WiFi list, it obtains the unique identifier of the target WiFi network; it listens for WiFi connection status change broadcasts and determines whether the target WiFi network is successfully connected based on the network status information carried in the broadcasts; when the network status information confirms a successful connection, it removes the target WiFi network from the available WiFi list based on the unique identifier. By using a pre-set list of available WiFi networks instead of a WiFi list obtained through WiFi scanning, the overhead of the scanning process is reduced; by directly determining the connection status through listening to WiFi connection status change broadcasts, rather than relying on WiFi scan results, the feedback time is shortened.