655 results about "Data shipping" patented technology

A mobile system is provided for managing safety in a dynamic environment. The system comprises: a computer vision component for generating a computer vision output data; a real-time locating component for generating location data about an object within the industrial environment; a LIDAR component for generating 3D point cloud data of the industrial environment; and one or more processors coupled to the computer vision component, the real-time locating component and the LIDAR component and configured to: (i) process the data stream with aid of a machine learning algorithm trained model to generate a safety related result and feedback data, and (ii) deliver the feedback data to the object via the mobile tag device, and a mobile platform configured to move the mobile system in the environment.

The invention relates to the field of medical material management, and discloses a hospital material management server, which comprises a data collection module used for collecting material consumption data, the number of patients and operation plans of all departments from a hospital information system and an electronic medical record system, and transmitting the collected data to a prediction analysis module; the prediction analysis module is connected with the data collection module, and the invention also discloses a hospital material management method which comprises the following steps: S1, collecting material consumption data of each department from a hospital information system and an electronic medical record system through the data collection module; by using an adaptive neural network and a virtual twinning technology, accurate demand prediction, inventory dynamic adjustment, distribution optimization, global monitoring and environment simulation adjustment are realized; the interactive feedback module forms closed-loop optimization, the meta-universe cooperation module supports virtualization operation and training, and the defects of a traditional system in prediction, scheduling, monitoring and cooperation are overcome.

The invention relates to the technical field of tourist route recommendation, in particular to a tourist route recommendation system and method based on big data. The method comprises the following steps: collecting travel demand data and basic sign information of a user, and performing hierarchical analysis on a demand to obtain master / slave demand data; then, through demand behavior intersection analysis, muscle soreness intensity is simulated in combination with user physical sign data, and the physical degeneration rate is further estimated; based on the physical decline rate, making a rest strategy, and optimizing distribution and adjustment of tourist routes; and finally, transmitting the adjusted tourist route data to a user terminal. According to the invention, the tourist route recommendation technology is improved, so that the tourist route recommendation technology is more perfect.

The invention discloses a tunnel micro-deformation real-time monitoring system and method, and the method comprises the steps: monitoring the deformation condition of a tunnel section through employing a micro-deformation radar monitor installed in a tunnel in cooperation with a target, and generating deformation detection data; the deformation detection data is transmitted to a communication gateway located at a tunnel portal in a wireless transmission mode, and the communication gateway is in communication connection with the micro-deformation radar monitor through an Internet of Things ad hoc network communication system and transmits the deformation detection data to a tunnel monitoring system cloud platform; and the tunnel monitoring system cloud platform has a set classification and grading risk early warning mechanism, analyzes and processes the received deformation detection data, and triggers a corresponding early warning response according to an analysis result and the classification and grading risk early warning mechanism. According to the application, the millimeter-wave radar and Internet of Things communication technology is adopted, and the millimeter-wave radar phase interference measurement technology can be utilized to monitor vault settlement and peripheral displacement data of the tunnel section in an all-weather, full-automatic and real-time manner.

The invention discloses a data interaction system and method based on cross-network interconnection, the system comprises an extranet service system, an internetwork switching device and an intranet service system, the extranet service system transmits to-be-transmitted data to the intranet service system through the internetwork switching device, the internetwork switching device is used for managing a cross-network control strategy, and the intranet service system transmits the to-be-transmitted data to the intranet service system through the internetwork switching device. Detecting the state of inter-network interaction agent equipment, and actively establishing a cross-network data transmission encryption channel; the internetwork switching equipment comprises an extranet processing unit, a switching processing unit and an intranet processing unit; the extranet processing unit is used for processing data transmitted by the extranet service system; the exchange processing unit is used for transmitting the data processed by the external network processing unit to the internal network processing unit; and the intranet processing unit is used for processing the received data and transmitting the processed data to an intranet service system. According to the invention, the data transmission bandwidth and link security can be improved, and the integrity of cross-network transmission data is ensured.

A system comprising a power appliance coupler and a rack power distribution unit (rPDU) are provided. The power appliance coupler includes a plug connector configured to connect to a power outlet of the rPDU, a power outlet port; a microprocessor and a memory; an infrared (IR) receiver port configured to receive data via an IR signal and to communicate the received data to the microprocessor; an IR transmitter port configured to transmit output data from the microprocessor as an IR signal; a voltage sensor operatively coupled to the microprocessor; and a current sensor operatively coupled to the microprocessor. The rPDU includes an input power supply cord, an interchangeable monitoring device (IMD), a non-volatile memory, and a plurality of power outlets and is operatively coupled to the power appliance coupler via a wired connector.

Failure of an active CU-UP can be managed and mitigated. In connection with an active CU-UP serving a device using a service, CU-CP can employ a node manager component (NMC) that, in connection with failure of active CU-UP, can synchronize operational state parameters, including user plane protocol state parameters, associated with active CU-UP with standby CU-UP, and transition from active CU-UP to standby CU-UP to become an active CU-UP that can serve the device, to maintain service continuity for the device. NMC can inform RAN SMO to reconfigure transport network to switch downlink data and uplink data to standby CU-UP. Standby CU-UP can buffer downlink data and uplink data in buffer memory until the synchronization is completed, after which the formerly standby, now active, CU-UP can communicate buffered downlink data to DU for communication to the device, and buffered uplink data to UPF for communication to a desired destination.

The invention discloses a low-power-consumption routing control method based on proximity of energy and a DBSCAN algorithm, which can reduce energy consumption so as to prolong the service life of a network. The method comprises the following specific steps: firstly, clustering sensor nodes through a density-based DBSCAN algorithm; then, the local density of the sum of the shared proximity with respect to the energy with respect to the energy is redefined using the shared proximity with respect to the energy, and a cluster head is selected in combination with the relative position and the local density with respect to the energy. And finally, selecting the most suitable routing node to which the next hop arrives by adopting a formula screening method according to the distance, and transmitting the data to the base station by multiple jumps. According to the method, the network life cycle is prolonged to a certain extent. According to the invention, the sharing proximity about the energy is provided, and the consideration of the energy is increased compared with the original pure sharing proximity. If the sum of the shared proximity of one point and each point in a cluster is large, but the energy of nearby points is small, the communication efficiency is low after the points are selected as cluster heads.

Systems and methods that, prior to an occurrence of an audit and reconciliation triggering event, cause first data associated with a first game outcome determined by a first remote game server in association with a play of a wagering game displayed by a streaming device to be communicated to a second remote game server, and cause second data associated with a second game outcome determined by the second remote game server to be communicated to a client device in association with a streamed play of the wagering game displayed by the client device. Additionally and responsive to an occurrence of the audit and reconciliation triggering event, the systems and methods determine if the first game outcome corresponds to the second game outcome.

The invention discloses an intelligent equipment fault diagnosis method and system based on cloud side-end cooperation. The method comprises the steps that a data acquisition terminal collects equipment operation data and sends the equipment operation data to an edge side; the edge side carries out diagnosis model matching and data classification marking based on working conditions, and gives an alarm when an identification result needs to be alarmed; the edge side transmits the preprocessed data to a cloud end, the cloud end analyzes the data, optimizes and subdivides a corresponding model, stores the data, and pushes the optimized model to the edge side for upgrading; and when the cloud receives the prediction result of the edge side needing to be alarmed, giving an alarm. According to the method, different operation working conditions of the equipment are automatically identified through the edge nodes, corresponding diagnosis models are selected for data processing, and classified and marked data are transmitted to the cloud for model training of subdivided working conditions, so that intelligent diagnosis of equipment faults is realized, and the accuracy and efficiency of fault diagnosis are improved.

A general-purpose printing program corresponding to a printer is embedded in an operating system. The general-purpose printing program is configured to manage data for displaying a print settings screen on a display of an information processing device. A support program supports the general-purpose printing program. The support program, when executed by a computer of the information processing device, causes the information processing device to perform, when a request to perform a process is issued from the general-purpose printing program in response to the printer being selected: an acquisition process; a generation process; and a display process. The acquisition process acquires service information related to a service corresponding to the printer. The generation process generates notification data based on the service information. The display process transfers the notification data to the general-purpose printing program to have a notification image based on the notification data be displayed in the print settings screen.

A system or method of secure data entry can include one or more processors and memory having computer instructions which when executed by the one or more processors causes the one or more processors to perform the operations at a client edge device of executing a user interface data entry application on the client edge device, receiving data by the user interface data entry application, wherein the data entered is a graphic input pattern corresponding to characters, communicating the data entered to a server, and receiving access to the server if a data processing application at the server interprets the data entered as a credential based on rules negotiated between the data entry application and the data processing application and a template for the graphic input pattern.

A computer-implemented method of providing web security control integration in a system that utilizes at least one vendor proxy service for securely accessing the Internet. The method comprises receiving an instruction to update a web control policy or exception, generating a web control and exception update request, using a vendor agnostic API, wherein the web control and exception update request includes policy objects and content data, delivering the web control and exception data to a policy sync worker associated with a particular vendor proxy service, converting the web control and exception update request, via the policy sync worker into a format suited to the particular vendor proxy service, and delivering the converted web control and exception update request to the particular vendor proxy service associated with the policy sync worker to update the web control policy at the particular vendor proxy service.

In described embodiments, a system for data processing is provided that includes a classic data interface configured to receive data from a classic computing environment. The system also includes a data encoding module configured to encode the received data into a format compatible with the quantum computing environment. A quantum processing module within the quantum computing environment is configured to process the encoded data. The communication interface is configured to transmit the encoded data to the quantum computing environment and retrieve the processed data from the quantum computing environment. The data decoding module is further configured to decode the processed data into a format compatible with the classical computing environment.

The invention relates to the technical field of concrete penetration resistance detection, and discloses a recycled concrete penetration resistance detection device and method for building safety monitoring, the recycled concrete penetration resistance detection device comprises a box body, the upper end of the box body is fixedly connected with a data acquisition module, and the inner wall of the box body is fixedly connected with a signal processing module. Detection heads in the data acquisition module are placed at different depths and positions in the recycled concrete, the signal processing module processes the acquired data, and then the processed data are transmitted to the data analysis module to calculate the impermeability index of the concrete. And finally, the detection result is presented to a user through a display module, so that real-time monitoring on the permeability resistance of the recycled concrete is realized, the detection efficiency and accuracy are improved, the limitation of single-point detection is eliminated, the reliability and consistency of the detection result are ensured, the operation process is simplified, and the professional skill requirement on operators is reduced.

The invention relates to a multifunctional on-site material evidence investigation and evidence obtaining system based on an intelligent robot dog, and belongs to the technical field of criminal investigation. According to the system, a robot dog is driven by a communication device and a positioner to reach a trace detection site, and collected trace detection image data are transmitted to a main control device; attitude precision adjustment is carried out through a joint encoder arranged on the angle driving framework in combination with the collected trace detection image data; calculating the actual distance between the microscope and the target trace through a trace detection distance model; based on the actual distance, the focusing driving framework is controlled to move in combination with the corresponding initial focusing parameters; and performing real-time definition evaluation on the acquired trace detection image through a definition evaluation framework, recording an optimal focusing position and related trace detection image data after the evaluation is passed, and updating a database. The multi-scene application of trace detection is realized, the problem of blurring of the trace detection image caused by environmental interference or sample movement is solved, and the focusing quality and the shooting success rate of trace detection shooting are effectively improved.

A distributed control system (DCS) of an industrial process plant includes a data center storing a plant information model that includes a description of physical components, the control framework, and the control network of the plant using a modeling language. A set of exposed APIs provides DCS applications access to the model, and to an optional generic framework of the data center which stores basic structures and functions from which the DCS may automatically generate other structures and functions to populate the model and to automatically create various applications and routines utilized during run-time operations of the DCS and plant. Upon initialization, the DCS may automatically sense the I / O types of its interface ports, detect communicatively connected physical components within the plant, and automatically populate the plant information model accordingly. The DCS may optionally automatically generate related control routines and / or I / O data delivery mechanisms, HMI routines, and the like.

The invention relates to the technical field of photovoltaic power station safety monitoring, in particular to a mountain flexible photovoltaic support monitoring method and system, and the method comprises the steps: collecting the vibration frequency, strain, inclination angle and other multi-dimensional data of a support in real time through a distributed sensor array, and transmitting the data to a cloud platform through an encryption transmission protocol; after the cloud platform performs cleaning, normalization and standardization processing on data, real-time analysis is performed based on a predefined safety threshold, accurate identification and early warning of an abnormal state are realized, a distributed time sequence database is established for long-term data storage, multi-dimensional query and analysis are supported, a containerized elastic framework is adopted, resources can be dynamically allocated according to data traffic, and the data flow is dynamically allocated. And perfect remote equipment management and visual monitoring functions are provided. According to the invention, all-weather intelligent monitoring of the mountain flexible photovoltaic support is realized, the monitoring efficiency and the system reliability are significantly improved, and effective guarantee is provided for safe operation of a photovoltaic power station.

A live streaming platform server that, responsive to a determination to place, in association with a client device, a wager on a play of a wagering game displayed by a streaming device, receives, from a first remote game server operating with the streaming device, first data determined by the first remote game server. Responsive to a validation of the first data received from the first remote game server operating with the streaming device, the live streaming platform server communicates the first data to a second remote game server operating with the client device. Responsive to a receipt, from the second remote game server operating with the client device, of second data determined by the second remote game server and based, at least in part, on the first data received from the first remote game server, the live streaming platform server communicates the second data to the client device.

Disclosed examples determine a first time corresponding to a start of a window for a data exchange; determine a second time corresponding to a data packet sent during the window; calculate link performance data based on the first time and the second time; and transmit the link performance data to a network configuration entity.

The invention discloses a server management system, a server management method and electronic equipment, and relates to the technical field of computers.In the method, on one hand, edge nodes are arranged in a plurality of different areas respectively, and each edge node is connected with a server in the area where the edge node is located through a first communication line; and connecting a cloud management platform through a second communication line. The edge node can perform autonomous management on the server in the area based on the management information issued by the cloud management platform. The server and the edge node are located in the same area, and the communication delay is short, so that when the server fails, the edge node can timely issue an instruction to perform fault processing, and the fault recovery duration of the server can be shortened. And on the other hand, the theoretical communication rate of the first communication line is higher than the theoretical communication rate of the second communication line, so that the data transmission rate between the server and the edge node can be improved, and the fault recovery duration of the server is further shortened.

The invention discloses an intelligent sodium hypochlorite adding system based on Internet of Things control. The intelligent sodium hypochlorite adding system comprises a data collection module, a data transmission module, a data analysis module and a control terminal, the data collection module is used for collecting water quality information of a water sample and transmitting the collected information to the data analysis module, the data transmission module is used for transmitting the collected water sample information and current equipment operation state data to the data analysis module, and the data analysis module is used for analyzing the received data; the data transmission module is connected with the data transmission module, the data transmission module is connected with the data transmission module, the data transmission module is connected with the data transmission module, the data transmission module is connected with the data transmission module, the data transmission module is connected with the data transmission module, the data transmission module is connected with the data transmission module, and the data transmission module is connected with the data transmission module. And the data analysis module is connected with the Internet of Things, so that the device can run on the basis of the Internet of Things, can remotely monitor the running state of the equipment and remotely control the equipment, and can be operated and monitored anytime and anywhere.

The invention discloses intelligent miniature shield self-tunneling equipment integrating heat dissipation and real-time scanning imaging and a using method thereof. An intelligent miniature shield self-tunneling device integrating heat dissipation and real-time scanning imaging comprises a drill bit cutterhead, a while-drilling geological radar, a driving motor, a miniature intelligent integrated host, a water injection tank, a mud storage tank, a water and soil conveying pipe, a data transmission cable, a crawler chassis and a tunneling cabin body which are connected in sequence. The while-drilling geological radar, the driving motor and the automatic control machine box are connected with the miniature intelligent integrated host through cables, the front end of the water injection tank is provided with a water injection pipe connected with a fragment passing notch, the rear portion of the water injection tank is connected with a water and soil conveying pipe, the front end of the mud storage tank is provided with a mud conveying pipe connected with an L-shaped fragment passing notch, and the rear portion of the mud storage tank is connected with the water and soil conveying pipe. The device has the advantages that geological changes can be sensed in real time, the state of the cutterhead can be automatically adjusted, the temperature of the device can be effectively controlled through the innovative heat dissipation design, and long-time continuous work in a complex stratum is guaranteed.

Described herein is an apparatus and method for automating interactions. In some embodiments, apparatus may gather system data, determine event activation data as a function of system data, execute an event by communicating event activation data to an external device, and update system data based on execution of an event.

The invention, which relates to the technical field of energy, discloses an electricity consumption information acquisition system for realizing electricity stealing prevention based on an outlier algorithm model, and the system comprises a data acquisition module, a data preprocessing module, a data transmission module, a data storage module, an outlier algorithm module, a display module, and an alarm module. The data preprocessing module receives data from the data acquisition module and preprocesses the data, the data transmission module transmits the preprocessed data to the outlier algorithm module and the data storage module, and the outlier algorithm module analyzes the data and then transmits the data to the display module and the alarm module. According to the invention, the electricity consumption information of the user is analyzed through the outlier algorithm model, the existing electricity stealing behavior can be identified, and early warning is given out and measures are taken in time when the suspicion of electricity stealing is found; the system is automatic and intelligent, and improves the efficiency and accuracy of anti-electricity-stealing work.

A wireless communication device activates a quality of experience (QoE) configuration; after the QoE configuration is activated, accumulating the QoE data in the buffer when in a radio resource control inactivity (RRCINACTIVE) state or an RRCIDLE state; deactivating the QoE configuration; initiating an RRC connection establishment procedure from the RRCIDLE state or an RRC connection recovery procedure from the RRCINACTIVE state in response to both the presence of the QoE data in the buffer area and the deactivation of the QoE configuration; and transmitting the QoE data in the buffer to a network entity after entering an RRCCONNECTED state at the end of the RRC connection establishment process or the RRC connection recovery process. In one aspect, the wireless communication device ceases to accumulate the QoE data in response to determining to deactivate the QoE configuration, and stores parameters of the QoE configuration.

A remote game server that determines data associated with a play of a wagering game displayed by a streaming device in communication with a live streaming platform server, and communicates the data to the streaming device. Additionally and independent of the live streaming platform server, the remote game server communicates the data to another remote game server operating with a client device in communication with the live streaming platform server.

To provide a dynamic messaging system for factory automation devices that provides flexible data transport, presentation and scheduling.SOLUTION: Custom message instructions are provided to robot controllers using configuration templates without rebooting the controller or affecting ongoing operations. The configuration templates contain data definitions only and no executable code. Custom data messages are sent from the controller based on triggers, including periodic timers, transmission of a message, change of device elements and programmatic requests. Custom message attributes such as transmission rate and priority can be set, and messages may include file attachments. A message template creator, which is external, creates the configuration templates, ensures message uniqueness and generates a data ingestion schema. The schema is used by a cloud data parser, and the customer can analyze data from the messages using applications in a web portal.SELECTED DRAWING: Figure 1

Target shooting, gaming, and data acquisition systems (and associated devices and methods) are disclosed herein. In one embodiment, a target shooting system includes (i) a target unit deployable at a first location at or near a location of a target, and (ii) a base unit deployable at a second location different from the first location. The target unit and the base unit can be configured to communicate with one another over a communication link. The target unit can further be configured to (a) detect projectile hits on the target and (b) communicate data relating to the projectile hits to the base unit via the communication link. The base unit can further be configured to communicate commands to the target unit via the communication link. The commands can include commands for proactively and / or reactively controlling the target unit, such as one or more visual indicators of the target unit.

The invention discloses a bucket elevator fault diagnosis system and method, and the method comprises the steps: firstly transmitting data collected by a vibration sensor and a temperature measurement camera of an information sensing layer to a data processing layer, and carrying out the cleaning of the original data collected by the sensor and the camera through the data processing layer, and forming an image data set; and training an IDRN-BiGRU network fused and integrated by a BiGRU and an IDRN based on an improved residual neural network by using the image data set to obtain a fault diagnosis model and realize automatic diagnosis and classification of faults. Compared with simple time domain or frequency domain conversion, fault information is more sufficient; and a deep learning algorithm is adopted, and fault identification and classification are performed on different fault maps, so that compared with traditional mechanism analysis, the method is more efficient, and intelligent monitoring can be realized.