607 results about "Via device" patented technology

Needle-guiding systems and methods can facilitate establishing vascular access with a nonmagnetic needle. For example, a method of a needle-guiding system can include detecting and registering registration marks about a patient by patient-facing cameras of an alternative reality (“AR”) device, the AR device thereby establishing its location and orientation relative to a target area of the patient. The method can also include anchoring ultrasound images of the target area as viewed through a display screen of the AR device, the ultrasound images anchored about the patient relative to either an instant or previous location and orientation of the ultrasound probe; and providing an instant virtual needle trajectory of the needle as viewed through the display screen of the AR device, thereby indicating to a clinician whether the needle is properly oriented for establishing vascular access to a target vessel of the ultrasound images.

Systems and methods are described for dynamic execution of artificial intelligence (“AI”) agents. A server can receive, from a client device, an input associated with an AI agent. Based on a manifest file or user profile, the server can identify a management policy that applies to the AI agent. The server then dynamically configures access to the agent objects based on applying the management policy. The management policy is applied to a device status of the client device, a user profile of a user of the client device, and / or a network configuration of the client device. The server then executes a modified workflow based on the dynamically configured access, wherein the modified workflow bypasses or changes operation of at least one of the agent objects. Based on the modified workflow, the server transmits an output to the client device.

Systems and methods are described for dynamic execution of artificial intelligence (“AI”) agents. A server can receive, from a client device, an input associated with an AI agent. Based on a manifest file or user profile, the server can identify a management policy that applies to the AI agent. The server then dynamically configures access to the agent objects based on applying the management policy. The management policy is applied to a device status of the client device, a user profile of a user of the client device, and / or a network configuration of the client device. The server then executes a modified workflow based on the dynamically configured access, wherein the modified workflow bypasses or changes operation of at least one of the agent objects. Based on the modified workflow, the server transmits an output to the client device.

Needle-guiding systems and methods can facilitate establishing vascular access with a nonmagnetic needle. For example, a method of a needle-guiding system can include detecting and registering registration marks about a patient by patient-facing cameras of an alternative reality ("AR") device, the AR device thereby establishing its location and orientation relative to a target area of the patient. The method can also include anchoring ultrasound images of the target area as viewed through a display screen of the AR device, the ultrasound images anchored about the patient relative to either an instant or previous location and orientation of the ultrasound probe; and providing an instant virtual needle trajectory of the needle as viewed through the display screen of the AR device, thereby indicating to a clinician whether the needle is properly oriented for establishing vascular access to a target vessel of the ultrasound images.

A private identity system performs on-device embedding and homomorphic tokenization (HT) to map plaintext inputs to non-invertible HT tokens. During enrollment, HT tokens are stored and a centroid can be computed for each user. During prediction, a new HT token shortlists nearest centroids, followed by 1:1 distance verification against stored embeddings. On success, the system returns a UUID bound to the user. Because passkeys can be shared via device or account keychains, the UUID binds the ceremony to the same enrolled individual without exposing biometrics.

The invention relates to the technical field of machine learning, and discloses a user recharging prediction method and device, equipment and a storage medium, and the method comprises the steps: associating behavior data of multiple platforms of a user through an equipment fingerprint algorithm, obtaining a user multi-dimensional feature set, determining a clustering number based on an elbow rule, and obtaining a user recharging prediction result; and performing clustering analysis on the user multi-dimensional feature set according to the clustering number, generating a user value grouping label, and inputting the user value grouping label into a random forest model to obtain recharging prediction results of different user groups. According to the method, multi-platform user behavior information is comprehensively integrated through an equipment fingerprint algorithm, data islands are broken, user value grouping labels are generated through elbow rule clustering, then the user value grouping labels are input into a random forest model to predict a recharging result, user basic features are considered, value grouping information is integrated, feature dimensions are enriched, and the recharging efficiency is improved. And users with different values can be described more accurately, so that the accuracy of recharging prediction of user groups with different values is improved.

The invention relates to the technical field of digital control, in particular to a digital control system and method. The method comprises the following steps: acquiring an industrial equipment object and constructing a simulation model based on the industrial equipment object so as to simulate the running state of the equipment and acquire corresponding simulation data; analyzing the transient current surge phenomenon of the equipment according to the simulation data, and further analyzing the multi-dimensional interactive aging trend of the equipment, so as to estimate the attenuation condition of the dynamic precision of the equipment; estimating the equipment fault risk through the equipment dynamic precision attenuation data, and estimating the quality attenuation state of the industrial product according to the fault risk; the system transmits fault risk and product quality attenuation data to a digital control system, carries out equipment abnormity early warning through the system, and adjusts equipment parameters according to an early warning result. According to the invention, the industrial equipment is digitally controlled, so that the operation efficiency of the industrial equipment is higher.

The invention provides an equipment monitoring method and system based on AI and industrial Internet of Things, equipment and a medium, and belongs to the technical field of equipment operation monitoring, and the method comprises the steps: obtaining equipment monitoring operation; triggering an equipment monitoring process, and obtaining a monitoring key data set according to the equipment monitoring process; querying a preset key data analysis rule table according to the monitoring key data to obtain equipment data analysis parameters of the monitoring key data; querying a preset monitoring task sequence to obtain a monitoring process label; calling an equipment running state analysis process according to the monitoring process label; analyzing the monitoring equipment through the equipment running state analysis process to obtain monitoring target data; and analyzing the monitoring key data according to the monitoring target data to obtain a target equipment monitoring result. According to the invention, accurate monitoring of the operation state of the industrial Internet of Things equipment is realized. Abnormal conditions and key information in equipment operation can be captured in time, and the efficiency and reliability of monitoring work are improved.

A system and method for vulnerability detection. A method includes: tokenizing device attribute data for a device into at least one set of first tokens, wherein each of the first tokens is formatted according to a token schema; creating at least one device attribute string, each device attribute string including one of the first tokens; matching each of the at least one device attribute string to combinations of device attributes stored in a vulnerabilities database in order to identify at least one matching combination of device attributes for the device, wherein the vulnerabilities database stores mappings between combinations of device attributes and vulnerabilities, wherein each combination of device attributes in the vulnerabilities database includes second tokens formatted according to the token schema; detecting at least one vulnerability of the device based on the at least one matching combination of device attributes and the mappings in the vulnerabilities database.

The invention provides an intelligent equipment operation and maintenance method and system based on an industry large model technology, equipment and a medium, and belongs to the technical field of intelligent equipment operation and maintenance. Inputting the equipment operation data into a multi-agent cooperation engine, and analyzing time domain, frequency domain and working condition parameters; the diagnosis agent generates diagnosis result information in combination with the diagnosis intelligent knowledge graph; the diagnosis result information is converted into a work order text, and the work order text is synchronized to a monitoring system; after fault processing is completed, the processing process and result are fed back to the monitoring system and supplemented to the diagnosis intelligent knowledge graph based on a supplement mechanism, and knowledge iteration updating is achieved. A multi-dimensional data fusion and analysis method is adopted. Information of different types of data is utilized, and the accuracy and reliability of fault diagnosis and operation and maintenance decision are improved through a multi-dimensional analysis perspective.

The invention provides an environment-based perception enhancement method and system, electronic equipment and a storage medium, and relates to the field of AR (Augmented Reality). The method comprises the steps that N environment images are acquired through a camera of AR equipment, an environment image set is obtained, scene classification is performed based on the environment images in the environment image set, and a preliminary scene type is obtained; performing optimization processing on the preliminary scene type to obtain a target scene type, and matching a corresponding application scene template from a preset scene template library according to the scene type; determining a to-be-collected environment parameter type according to the application scene template, and collecting environment data through a sensor corresponding to the to-be-collected environment parameter type to obtain target environment data; generating AR equipment adjustment parameters according to the target environment data; and adjusting a display parameter of the AR equipment according to the AR equipment adjustment parameter. According to the technical scheme, the accuracy of environment-based perception enhancement is improved. Through the scheme, the problem that targeted display optimization is difficult to carry out according to specific scene characteristics in the prior art is solved.

Systems and methods are provided herein for only including portions of a user's environment that have been approved by a user in a video conference while excluding portions that have not been approved. This may be accomplished by a device receiving a policy identifying one or more approved objects of a scene of a video stream. The device may then generate a filtered video stream by only including portions of the scene that comprise the one or more objects that were approved by the policy in the filtered video stream. The filtered video stream may be combined with other video streams to generate a video conference that is transmitted and / or stored by one or more devices participating in the video conference.

A non-AP MLD (120) obtains a link ID, which defines an off-link corresponding to at least one off-channel (172b) that does not overlap the channel(s) used by the AP device. The non-AP MLD (120) establishes, through the channel(s) used by the AP device, a TDLS direct link, between a first TDLS STA, (122) affiliated with the non-AP MLD (120) and a second TDLS STA (132) of a second non-AP MLD (130), using the link ID as an indication of the off-link for the TDLS direct link. The non-AP MLD (120) operates a peer-to-peer communication between the first and second TDLS STAs, over the off-link.

The invention relates to the technical field of hardware machining, and discloses hardware part automatic machining equipment which comprises a motion control module used for coordinating actions of all motion parts in the part automatic machining equipment and carrying out multi-axis cooperative control, and a positioning algorithm module used for carrying out multi-axis cooperative control according to feedback data of a sensor. The state monitoring and fault diagnosis module is used for collecting equipment operation parameters of hydraulic system pressure, motor current and vibration data in real time, and the intelligent control algorithm module is used for dynamically adjusting the closing path and pressure of the positioning plate according to the stamping process requirement. And the intelligent optimization and data management module is used for recording production data such as processing times, fault logs and energy consumption of the equipment. Through operation of all moving parts of the equipment, unnecessary waiting, blocking and repeated actions among the parts are avoided, the machining period of a single part is shortened, the overall machining efficiency is effectively improved, and the problem that the machining efficiency is low is solved.

The invention discloses a method for automatically setting a working frequency based on a field radio frequency environment, which relates to the technical field of wireless communication, and comprises the following specific steps of: acquiring field radio frequency environment data in real time through a wireless frequency data acquisition module, and storing the field radio frequency environment data in a database; the data processing module screens non-interference frequency points based on third-order intermodulation interference compatibility calculation, the working frequency of the receiver and the working frequency of the transmitter are dynamically adjusted through the equipment control module, and the database, the data processing module and the equipment control module cooperate to achieve automatic frequency switching. A receiver in the method is provided with a standby receiving sub-module, when it is detected that a current frequency point is interfered, the current frequency point is automatically switched to a standby frequency point, stable operation of a system is ensured, the transmitter synchronizes the frequency with the receiver through a communication protocol in a speaking state, signal transmission is stopped in a mute state, environment interference can be monitored in real time, manual intervention is not needed, and the method is suitable for popularization and application. Manual frequent manual operation for frequency adjustment is avoided, and the anti-interference capability of a wireless communication system is remarkably improved.

The embodiment of the invention discloses an identity authentication method and system, intelligent glasses, a storage medium and electronic equipment, equipment identity authentication is carried out on the intelligent glasses according to a first secret key stored by a hardware-level security chip, and if the authentication is passed, an equipment trusted environment is provided through the hardware-level security chip; in response to an identity verification request initiated based on a target to-be-authenticated operation executed by a wearing user of the smart glasses, performing local biological feature comparison on the wearing user through an equipment trusted environment to obtain a corresponding first comparison result; when a certain condition is met, whether the intelligent glasses and a cloud end corresponding to the intelligent glasses pass bidirectional authentication is judged, if yes, biological characteristics of a user wearing the intelligent glasses are encrypted according to a first secret key, the encrypted biological characteristics are sent to the cloud end, and a secondary comparison result returned by the cloud end is received; therefore, according to the first comparison result and / or the second comparison result, the identity verification result of the wearing user can be determined.

The invention provides a VR-based fitness data processing method and system, relates to a virtual reality technology, and can perform simulated blood drawing through a VR device, collect child sight and limb movement data through the VR device and a scene camera, and evaluate a fitness level; when a child is in a low-degree matching state, scene switching is carried out to select an adaptive scene, for example, the scene is switched into a cartoon style interesting scene, the attention of the child can be quickly attracted, fear and resistance of the child to blood drawing are dispersed, and in the process, the robot is controlled to carry out corresponding simulation operation, so that simulation is more real, and the safety of the child is improved. Therefore, the examination matching degree of the sick child is known, targeted measures are formulated, and the sick child can be encouraged to complete examination without intervention for the sick child capable of being matched; medical sedation intervention can be given to child patients who try out the system and do not cooperate with the system, and therefore relevant examinations are completed.

The invention discloses a cable full-process production scheduling method and device, electronic equipment and a storage medium, and the method comprises the steps: determining an equipment capability model which is used for describing the corresponding adaptive dimension information of different types of equipment, the dimension information comprises at least one process, a material type of a cable product corresponding to the process, a diameter range of the cable product corresponding to the process, and a core number range and a drum specification of the cable product corresponding to the process; determining process parameters of a target cable product corresponding to each process in the whole process of the cable; the process parameters comprise a material type, a diameter range and a core number range of the target cable product; and determining target equipment matched with the target cable product corresponding to each process in the whole process of the cable according to the equipment capability model and the process parameters of the target cable product. According to the method, matching can be carried out through the equipment capability model and the process parameters, and the problem that the workload of manually configuring the binding relation between the equipment and the semi-finished product is large can be solved.

The invention discloses a defect detection method and device for substation equipment, equipment and a storage medium, and relates to the technical field of substations, and the method comprises the steps: obtaining a to-be-detected image of the substation equipment, and carrying out the illumination normalization processing of the to-be-detected image, and obtaining a to-be-detected image after space alignment; generating an abnormal probability mask based on the to-be-detected image after space alignment; according to the to-be-detected image of the substation equipment, acquiring an equipment area mask through an equipment segmentation model, and performing defect target detection in an area limited by the equipment area mask to obtain a defect position, category information and a first confidence coefficient; and fusing the abnormal probability mask, the defect position, the category information and the first confidence coefficient to obtain a final defect detection report. According to the method, the defect detection accuracy of the substation equipment can be improved.

The invention relates to the technical field of conveying equipment, in particular to an automatic and uniform sugarcane unloading device which comprises an upper computer and a lower computer. The lower computer comprises an equipment frame, a plurality of conveying equipment, a plurality of detectors and tearing equipment, the equipment frame is F-shaped and is divided into five areas A1, A2, B1, B2 and C, and each area is subdivided into a plurality of auxiliary areas according to the number of the conveying equipment; a conveying device is mounted in each secondary area and comprises a bracket; in the scheme, uniform distribution of sugarcanes among different areas is realized through equipment partitioning, real-time monitoring of a detector and precise regulation and control of the speed of conveying equipment by an upper computer; the equipment frame is divided into a plurality of areas and auxiliary areas, the detector collects information such as positions, number and stacking states of sugarcanes, the upper computer analysis module judges distribution conditions according to an area load balancing principle, and the adjusting module instructs conveying equipment in different auxiliary areas to change speeds according to the distribution conditions, so that the sugarcanes flow reasonably, and local stacking is avoided.

The invention provides a multi-scene intelligent adaptation system and method based on an Internet of Things equipment database, and belongs to the technical field of Internet of Things, and the method comprises the steps: S1, constructing an application scene platform library; s2, constructing an Internet of Things equipment feature database; s3, searching and selecting a required scene in the application scene platform library, selecting a required function according to the scene, and performing matching search in the feature database of the Internet of Things equipment by using a multi-dimensional feature matching module; s4, after the matching search is completed, generating a list for the matched and searched target through an equipment list generation module; s5, the user selects the generated list, and efficient and intelligent configuration of equipment is achieved by providing an intelligent means; by shortening the construction period of the Internet of Things system, the construction requirements of a large-scale and complex Internet of Things system are met; the system performance is optimized by considering the multi-dimensional characteristic parameters, compatibility and cooperative work capability of the equipment, and stable and efficient operation of the Internet of Things system is realized.

The invention discloses a network signal intelligent optimization and switching method, system and device based on Android and a medium, belongs to the technical field of network signal optimization, and aims to solve the technical problem of how to realize more intelligent and automatic network signal optimization and switching according to various factors such as specific network conditions, user requirements and network quality. The technical scheme adopted by the invention is as follows: signal quality monitoring: monitoring the signal quality of each network connected with equipment in real time, and monitoring the signal quality of the current network through a hardware interface of Android equipment; user behavior analysis: analyzing user behavior characteristics and network requirements by collecting behavior data of the user so as to speculate the requirements of the user on the network; intelligent optimization: dynamically judging and optimizing network connection by utilizing a machine learning or rule engine technology according to the signal monitoring data and a user behavior analysis result, and selecting the most suitable network; and network switching: according to an optimization result, automatically selecting the most suitable network for switching.

The invention relates to a digital twin virtual debugging method for jet printing manufacturing control optimization, and belongs to the technical field related to intelligent manufacturing and industrial control. Comprising the following steps: configuring a control logic program for each equipment sub-module in a jet printing manufacturing equipment twin model through an equipment master controller, and writing the control logic program into a corresponding virtual controller; establishing communication connection between each virtual controller and the twin model, verifying a control logic program in the virtual controller, and verifying and optimizing the control logic program through general control; and inputting each optimized control logic program into the entity controller of the corresponding equipment sub-module, sending a control instruction to the entity controller corresponding to the equipment sub-module of which the current motion is to be verified through general control, driving the equipment sub-module to execute an action, optimizing the control logic program in the current entity controller through the general control, and verifying the current motion of the equipment sub-module. And through multi-round program optimization, a control program of the jet printing manufacturing equipment is obtained. The debugging time and cost of the ink-jet printing equipment can be reduced.

Reconfigurable Intelligent Surface devices, RIS, may be used to improve receipt of radio signals received by wireless transmit-receive units, WTRUs, in a given area. In such area, WTRUs may receive radio signals directly from the transmitter, and indirectly, via reflection of the radio signals from the transmitter by the RIS device. A RIS may consist of programmable sub-wavelength sized unit cells placed in close proximity. Each unit cell behaves like a scatterer. Embodiments of a new RIS structure are described here, being based on a nearly passive reflecting platform. In a Nearly-Passive RIS structure according to embodiments, NP-RIS, each unit cell is programmed to have a constant invariable phase-shift. Embodiments of a unit cell selection method are described, to control the reflected wave by selecting a subset of unit cells whose reflection could assist coherent alignment of the reflected wave with the main direct signal at the WTRU.

The embodiment of the invention provides a method, a system and a device for determining the health state of a battery, equipment and a medium, relates to the technical field of batteries, and at least solves the problem that in the related technology, the health state of the battery is determined by stopping the equipment and carrying out a complete low-rate charging and discharging test. The method has the problems of low efficiency, complex operation, low accuracy, poor interpretability and the like. The determination method comprises the following steps: in response to a received detection instruction, obtaining a first operation data set of a battery under a real working condition; determining a second operation data set based on the reference sensitivity vector corresponding to the previous detection instruction and the first operation data set; based on the second operation data set, electrochemical parameters of the physical model are identified, and a target physical model is obtained; and determining the current health state of the battery based on the target physical model.

The invention relates to the technical field of virtual simulation control, in particular to a Factory IO-based metal sorting control system, which comprises a virtual production line construction module, a hardware configuration module, a joint debugging module, a task execution module and a process optimization module. According to the invention, through comprehensive analysis of operation characteristics of the conveyor belt, distribution of detection stations and signal fluctuation, signal characteristics in a material coverage area can be identified in advance, associated extraction and dynamic cooperative adjustment of equipment layout and operation parameters are realized, and through interactive identification of equipment positions, adjustable areas and trigger conditions, the accuracy of the equipment layout is improved. Adjusting points influencing sorting precision are accurately positioned, task loads and priorities are intelligently matched in task execution, efficient allocation and resource optimization of scheduling areas are achieved, scheduling paths and time intervals are dynamically evaluated on the flow level, a continuous and adjustable operation sequence is formed, and sorting efficiency and overall operation performance are improved.

The invention discloses a guide path display method and device for a virtual scene, computer equipment and a medium, and the method comprises the steps: collecting the current behavior data of a user through a VR equipment sensor, and analyzing the intention of the user according to the current behavior data; according to the user intention and the virtual scene information, a current path is dynamically generated in a path planning mode; and generating a special effect guide path based on the current path, and generating semantic path guide information by adopting a multi-modal semantic fusion mode. According to the invention, visual guidance for user navigation is realized, and the path display intuition and immersion experience are improved.

The invention provides an interaction method and device, a terminal, a system and a storage medium, and relates to the technical field of information processing.The method comprises the steps that a first user instruction is obtained, and the first user instruction comprises first operation information; acquiring to-be-identified information of a first application in a first terminal to determine a target operation instruction associated with the to-be-identified information and the first operation information; the target operation instruction is used for triggering a second application of the second terminal to execute a target task, and the first terminal and the second terminal establish network connection through a device identifier. The to-be-identified information is collected through the first terminal, the target operation instruction is confirmed, and the target operation instruction is executed at the second terminal, so that instruction sharing between the first terminal and the second terminal is realized, user experience in an instruction sharing scene is optimized, and the method is suitable for instruction sharing scenes such as an intelligent driving scene and an intelligent home scene.

The invention relates to the technical field of Internet of Things equipment access authentication, and discloses an Internet of Things equipment access authentication method for a seat attenuation test stand, and the method comprises the steps: obtaining an identifier and an authentication request of equipment to be accessed, and extracting equipment registration information and historical behavior data; based on the behavior data and the environment parameters, an optimal authentication strategy is intelligently selected from an authentication strategy library, and an initial authentication instruction is generated and dynamically verified and optimized; acquiring equipment operation authority information according to the optimized instruction, and generating a complete authentication instruction; the method comprises the following steps: generating an encrypted access token through an equipment access gateway, binding equipment and a test bed interface after verifying legality, triggering an access process and generating an audit log; according to the method, through dynamic strategy selection, multi-dimensional verification and self-adaptive authorization, the safety and efficiency of equipment access are remarkably improved, and the method is suitable for a complex industrial environment.

Systems and methods are provided herein for only including portions of a user's environment that have been approved by a user in a video conference while excluding portions that have not been approved. This may be accomplished by a device receiving a policy identifying one or more approved objects of a scene of a video stream. The device may then generate a filtered video stream by only including portions of the scene that comprise the one or more objects that were approved by the policy in the filtered video stream. The filtered video stream may be combined with other video streams to generate a video conference that is transmitted and / or stored by one or more devices participating in the video conference.