770 results about "Bidirectional communication" patented technology

The invention relates to the technical field of operation and maintenance management and control, and discloses an intelligent building remote operation and maintenance management and control system based on a large model and a cloud edge collaborative architecture, and the system comprises a configuration subsystem which is used for carrying out the reverse proxy and persistent connection configuration of edge gateway equipment in an intelligent building, and obtaining a TLS encryption bidirectional communication channel; the construction subsystem is used for constructing a cloud-edge-end three-layer cooperative computing architecture; the conversion subsystem is used for performing unified semantic abstraction and conversion on the heterogeneous protocol data to obtain semantic data in a standard JSON (JavaScript Object Notation) format; the rule processing subsystem is used for performing rule processing through a near-end decision engine of the edge gateway to obtain a local intelligent response result; the multi-dimensional analysis subsystem is used for carrying out multi-dimensional analysis through a cloud large model engine to obtain an equipment health score, a fault prediction result and an energy optimization strategy, seamless fusion and interoperation of heterogeneous system data are achieved through the system, and then global optimization and linkage control of the intelligent building are achieved.

The invention relates to a distributed large two-layer network intelligent routing method and system based on edge cloud nodes, and belongs to the technical field of computer networks. Aiming at the problems of slow routing decision response and low fault recovery efficiency of the existing network in a dynamic environment, the invention provides a method for periodically collecting link bandwidth utilization rate, transmission delay and other state information through an edge cloud node, uploading the state information to a central cloud platform to generate a global routing strategy and issuing the global routing strategy to the edge node, and triggering fault switching in combination with local dynamic threshold monitoring. According to the technical scheme, bidirectional communication between edge nodes and a central platform, a neural network model of spatial-temporal feature fusion and a path priority generation mechanism of multi-objective optimization are included. The method and the system are suitable for a large-scale distributed network environment, and network resource utilization rate and service continuity can be improved.

The invention discloses a municipal road intelligent construction and collaborative management method based on digital twinning, and belongs to the field of digital twinning, and the method comprises the steps: S1, building a unified data twinning body composed of BIM, construction monitoring, environment and equipment data; s2, real-time synchronization of the virtual model and the entity is realized through time sequence mapping; s3, performing full-period control by adopting a multi-agent collaborative optimization algorithm; s4, embedding a risk evolution prediction model to carry out structure and material risk assessment; s5, multi-work-type tasks are distributed based on scene hierarchy; s6, progress self-checking and closed-loop control are achieved through two-way communication; s7, performing multi-stage data fusion to realize model consistency updating; s8, establishing a full life cycle carbon emission and energy consumption evaluation system; and S9, outputting a comprehensive decision report, and realizing integrated management of planning, construction and operation and maintenance. The method has the beneficial effects of improving construction efficiency and decision-making precision.

The present invention relates to an image display device. An image display device according to one embodiment of the present invention comprises a display, and a signal processing device that outputs data to the display, wherein a first interface in the signal processing device comprises a first terminal and a second terminal for bidirectional communication, and at least one of the first terminal and the second terminal shares an interface monitor signal and a system control bus signal. Accordingly, it is possible to perform integrated support of control data and the like, and thus cable wiring can be simplified.

The invention relates to the technical field of network security, and discloses a network isolation system supporting multi-dimensional auditing, which comprises an access control module, a security isolation module, an auditing analysis module and a management platform module, the access control module is used for carrying out identity verification and protocol legality verification on the access request; the security isolation module is connected with the access control module and is used for performing protocol stripping and content cleaning on the verified data stream; and the auditing analysis module is in bidirectional communication with the security isolation module and the management platform module, and is used for collecting multi-dimensional auditing data pieces of the network layer, the application layer and the user behavior layer. According to the method, the abnormal access behavior is detected in real time, when high-frequency unconventional port access is detected, a risk early warning mechanism is triggered, an alarm event is generated, and the management platform is linked to dynamically adjust an access strategy, so that quick response and active defense to potential attack behaviors are realized, and the recognition and blocking capabilities of the system to complex threats are improved.

An upper-body sensorized exoskeleton is configured to interface with external systems, such as FES, advanced cognitive systems, and VR / AR interaction programs, in order to facilitate rehabilitation and assistance of patients affected by upper-limb impairments. The sensorized upper limb exoskeleton delivers anti-gravitational support at the shoulder level, enables upper-limb configuration limits for shoulder and elbow ranges of motion, and reads kinematic data that may be analyzed by users and clinicians. The sensorized upper limb exoskeleton is equipped with electronic processing and communication means that support bidirectional communication between exoskeleton and external systems.

The invention relates to the field of energy storage loop monitoring, and particularly discloses an innovative energy storage loop system for an operating mechanism of a medium-voltage switch cabinet, which realizes soft start and contactless control of an energy storage motor by introducing a dynamic motor control circuit. The multistage stroke detection device replaces a mechanical limit switch, provides real-time and continuous position monitoring for the energy storage mechanism, and thoroughly eliminates feedback lag and inaccuracy. The core energy storage state analysis unit can identify abnormal working conditions in the energy storage process in real time through intelligent acquisition, analysis and decision making of signals. Besides, the power supply unit provides a stable operation basis, and the bidirectional communication interface ensures information interaction between the system and the external environment, so that an intelligent energy storage ecological system with controllable closed loop, feedback of state and early warning of fault is jointly constructed, and the response speed and the operation stability of the medium-voltage switch cabinet operating mechanism are comprehensively improved.

The invention discloses a mobile intelligent safety supervision device based on multi-mode perception and edge calculation, and the device comprises a camera which is a high-performance dual-camera with adjustable height and visual angle, is fixed on a telescopic aluminum alloy support, integrates a loudspeaker and a voice communication function, and supports the autonomous network and 4G bidirectional communication; the edge intelligent gateway is used as a core computing unit, supports a neural network algorithm to analyze audio and video data, and realizes real-time identification of security behaviors; the Beidou positioning module is integrated on the edge intelligent gateway and provides centimeter-level high-precision positioning; the data storage module is used for large-capacity data storage and supporting storage and retrieval of audio and video streams and analysis data; the network transmission module is a multi-protocol network transmission module and supports WiFi, 4G and wired network transmission; and the power supply module is high in capacity and adopts a pluggable battery design. Omnibearing high-definition video monitoring can be realized, and the requirements of real-time communication and real-time early warning between project responsible personnel and on-site construction personnel are met.

The invention relates to the technical field of intelligent traffic, and discloses an intelligent servo barrier gate management system. According to the system, vehicle identification information, detection information, environmental parameters and a barrier gate equipment state are acquired in real time through the data acquisition unit, comprehensive monitoring of traffic flow is ensured, the processing and analysis unit processes the acquired data by using a deep learning model, a control instruction is quickly generated, and the vehicle passing efficiency is evaluated, so that the traffic flow is ensured. The servo control unit is combined with an adaptive control algorithm to dynamically adjust the switching speed, the torque and the acceleration of the barrier gate, the vehicle passing experience is optimized, the queuing time is reduced, the bidirectional communication capability of the communication unit realizes remote monitoring and adjustment of the state of the barrier gate, and the traffic management decision making efficiency is improved. A manager can timely respond to sudden traffic conditions, the response speed and accuracy of the system are improved, the intelligent system effectively relieves the bottleneck of traditional barrier gate management, and the intelligent level of urban traffic is improved.

The invention relates to the technical field of intelligent electricity utilization, in particular to an intelligent electricity utilization safety supervision system based on the Internet of Things, and the system comprises the steps: collecting the operation data of power equipment through a sensor, and transmitting the data to a cloud data platform in real time for storage; acquiring the transmitted operation data of the power equipment from the cloud data platform, preprocessing and analyzing the data, and judging whether the equipment is in a normal working state or not; based on an analysis result provided by the data processing and analysis module, a prediction model is established by using a deep learning algorithm, and intelligent monitoring and early warning are performed on the equipment; bidirectional communication is carried out through a wireless network and power equipment, so that remote control and adjustment of the power equipment are realized. Bidirectional communication is carried out through the wireless network and the power equipment, remote control and adjustment of the power equipment are realized, and the pre-judgment capability of the health state of the power equipment can be improved by carrying out deep learning and analysis on the collected power data.

The embodiment of the invention provides an Internet of Things control system and method, electronic equipment, a storage medium and a program product, and relates to the technical field of industrial Internet of Things. The system comprises a connection management module used for establishing and maintaining connections between a plurality of Internet of Things devices and a plurality of MQTT servers corresponding to the Internet of Things devices; the dynamic equipment mapping module is used for mapping the data of the Internet of Things equipment to the MQTT server through the configuration file; and the message queue and network disconnection continuous transmission module is used for putting the message into the tail of the message queue to continuously transmit the message if the MQTT client instance corresponding to the Internet of Things equipment is detected to be in a network disconnection state when the message is published to the MQTT server. According to the scheme, dynamic expansion of heterogeneous equipment in the industrial Internet of Things, parallel butt joint of multiple cloud platforms, network disconnection continuous transmission and two-way communication capability are realized.

The invention discloses a truss robot rehearsal control method based on digital twinning, and the method comprises the following steps: S1, constructing a truss robot digital twinning system, including constructing a truss robot virtual scene and constraint, performing data synchronization and bidirectional communication, and configuring a safety rule base and a data recording / playback interface at a twinning end; s2, rehearsing a task to be executed, generating a reference trajectory and a constraint set, and automatically checking the rehearsing process according to the safety rule base to obtain the reference trajectory and the constraint set which pass the rehearsing; and S3, performing parameterized predictive control and real-time tracking on the rehearsed reference trajectory and the constraint set, and controlling a trajectory tracking error to be within a tolerance range. According to the method, a digital twin system corresponding to the physical world is constructed, Laguerre function parameterized model predictive control is introduced to realize low-dimensional rapid solution, high-precision, reproducible and high-reliability rehearsal control of the truss robot is realized, and the field debugging and operation and maintenance cost is remarkably reduced.

The invention relates to a laser automatic frequency locking control system and method based on cold atom feedback and a matched spectrum, the system comprises a laser module, a spectrum module, a photoelectric detector, a modulation-demodulation module, a digital PID controller and a data acquisition and operation platform, and the output end of the laser is connected with the spectrum module; the detection light output by the spectrum module enters the modulation-demodulation module after passing through the photoelectric detector; an output signal of the modulation-demodulation module enters a digital PID controller, and the digital PID controller is connected with a laser for frequency scanning control and is in two-way communication with a data acquisition and operation platform through a data interface; the data acquisition and operation platform comprises a cross-correlation algorithm processing module, a frequency control logic module, a cold atom feedback processing module and an abnormity management module, and is used for calculating, feeding back, controlling and monitoring the system operation state in real time and completing the automatic frequency locking process. According to the invention, the accuracy of frequency locking point identification and the frequency locking efficiency are improved; and automatic relocking can be achieved, and long-term stable frequency locking operation is guaranteed.

[Problem] To realize bidirectional communication between a user and a distributor in a livestream.[Solution] An information processing device including: a communication unit that sends distribution content, provided by a distributor, to a plurality of user terminals; a group selection unit that selects a first group, from among a plurality of groups to each of which two or more users belong, the first group being one group or two or more groups; and a connection control unit that controls a connection to enable bidirectional communication between the users belonging to the first group and the distributor.

The invention relates to the technical field of digital twinning, and discloses a process industry digital twinning platform system, which comprises a process mechanism modeling module used for constructing a multi-scale first principle model system according to physical and chemical laws of the process industry; the dynamic coupling engine is used for collecting process data in real time and carrying out coupling solution by combining the first principle model system and the equipment operation state model; the closed-loop optimization control interface is used for carrying out two-way communication with the distributed control system, generating an optimization set value based on a solving result and executing control; and the visual diagnosis module is used for carrying out multi-dimensional analysis, fault root cause tracing and early warning response on process parameter deviation. First principle equations of reaction kinetics, heat transfer theory and the like are directly embedded into the virtual model through the process mechanism modeling module, so that the model has physical and chemical interpretation capability on complex chemical reactions and energy transfer, and high precision is still kept under complex working conditions.

According to the intelligent storage battery state detection system and the control method, a dynamic early warning mechanism is constructed by monitoring voltage parameters of a storage battery device of an aerial work platform and real-time working condition parameters of a vehicle in real time, and early warning prompt is actively triggered when voltage abnormity or an electric quantity critical threshold value is detected; operation interruption caused by insufficient electric quantity in the operation process is effectively prevented, meanwhile, accurate monitoring of storage battery voltage early warning is enhanced through a closed-loop control algorithm, the operation reliability and the use safety of equipment are remarkably improved, and potential safety hazards caused by power supply faults are reduced to the maximum extent; according to the method, a self-adaptive charging strategy is synchronously integrated, bidirectional communication with a lithium battery management system is carried out based on periodic voltage monitoring data, accurate charging control is realized, continuous and stable operation of the aerial work platform is guaranteed, the use efficiency of the storage battery is synchronously improved, the maintenance cost is reduced, and a complete storage battery health management solution is formed.

The invention relates to the technical field of aluminum oxide production, and provides an evaporation station intelligent optimization system based on multivariable coupling regulation, which comprises a DCS (Distributed Control System) lifting module used for optimizing a control strategy and hardware support; the intelligent optimization control module is used for realizing multivariable coupling regulation and control; the data storage and analysis module is used for historical data recording and process analysis; the execution module is used for receiving the control instruction and driving field equipment; the DCS control system lifting module, the intelligent optimization control module and the data storage and analysis module are in bidirectional communication connection in sequence, and the intelligent optimization control module is in unidirectional communication connection with the execution module. Through multivariable coupling regulation and an intelligent algorithm, mother liquor discharging index fluctuation is stabilized, and the operation qualification rate and the alkali circulation efficiency are improved; steam consumption matching is optimized, and energy conservation and consumption reduction are achieved; variable fluctuation chain reaction is reduced, and abnormal response time is shortened; automation of key procedures is promoted, and manual errors are reduced.

The invention relates to the technical field of hybrid power buses, and discloses a global energy-based management system and control method for a hybrid power bus, and the system comprises a cloud global energy management system and a vehicle execution control system, and the cloud global energy management system and the vehicle execution control system carry out bidirectional communication through a communication protocol. The cloud global energy management system comprises a multi-source data acquisition and fusion module, a global SOC track optimization module and an energy distribution strategy generation module; the vehicle execution control system comprises a sensing layer, a decision-making layer and an execution layer. The SOC track and power distribution are globally optimized through the cloud, so that the time proportion of the engine working in the efficient interval is increased by 15%-20%, and the comprehensive fuel saving rate can reach 8%-12%.

The invention belongs to the technical field of energy station management, and particularly relates to a comprehensive energy station management system based on a light storage and charging micro-grid, and the system comprises a sensing layer which is used for collecting the real-time operation data of a photovoltaic facility, an energy storage system, a charging pile and an environment; the network layer is used for transmitting data of the sensing layer in real time and establishing two-way communication with a power grid dispatching center at the same time; and the application layer is used for realizing energy optimization scheduling, equipment cooperation, fault early warning and power grid interaction according to the data transmitted by the network layer. The AI dynamic energy scheduling module, the prediction model module, the optimization model module and the solving module are arranged, so that the energy utilization efficiency can be improved, the light abandoning rate can be greatly reduced, the electricity purchasing cost can be remarkably reduced, and economic optimization is realized.

The invention relates to an Imaging sensor device in a stacked arrangement comprising:a pixel array tier comprising a plurality of pixel segments each having a plurality of pixels for photon detection each providing a digital pixel output;a processing tier comprising a number of processing cores each associated with one of the plurality of pixel segments to receive the pixel outputs of the pixels of the respective pixel segment, wherein the processing cores are each in bidirectional communication with one or more neighboring processing cores,wherein the processing cores are each configured to receive pixel outputs of the pixels of the associated pixel segments and to distribute processing of pixel outputs between the processing core and the at least one of the neighboring processing cores as neighboring processing cores.

The invention relates to the field of virtual debugging, and particularly discloses a control program and a virtual debugging method of a cold roll forming machine shearing system, and the method comprises the steps: S1, building a virtual model comprising a feeding mechanism, a shearing mechanism, a servo driver and a photoelectric sensor in an NX MCD environment, outputting an accumulated feeding length and a sensor signal by the model, and receiving the position setting of a cutter; s2, a trimming procedure is written for an S7-1200 PLC (programmable logic controller) in a TIA Portal (TIA Portal); s3, two-way communication between the NX MCD and the PLC is established through OPC, the accumulated feeding length and a sensor signal are mapped into PLC input, and the cutter position set output by the PLC is mapped into NX MCD servo input; and S4, the two are simulated synchronously, control logic and parameters are optimized based on model feedback, and the target is to minimize fixed length error and motion instability. According to the invention, the problems of long field debugging period, high cost, inaccurate shearing triggering and unstable return in the prior art are solved, and the shearing precision and the operation reliability are improved.

The invention provides a vehicle window dimming and sound field linkage vehicle privacy protection system and method.The system comprises environment perception, passenger state recognition, a privacy decision engine, an actuator set and a user interaction interface, and the perception data output end of an environment perception and passenger state recognition module is connected to the input end of the privacy decision engine; the control instruction output end of the privacy decision engine is connected with the actuator group, and the user interaction interface is in two-way communication with the privacy decision engine; the environment sensing module obtains the position and the external environment of a vehicle, the passenger state recognition module monitors the state of persons and audio in the vehicle, and the privacy decision engine outputs an instruction according to the state and drives the actuator set to achieve vehicle window partition dimming, directional acoustic masking and in-vehicle volume adjustment. The problems that a traditional vehicle privacy protection system operates independently, depends on manual operation and is incomplete in protection can be solved.

A communication system includes a target unit provided in a vehicle and including at least one target unit processor and at least one target unit memory coupled to each other; and a communication tool coupled to the target unit for bidirectional communication and including at least one communication tool processor and at least one communication tool memory coupled to each other. The communication tool processor transmits certain information including first certain data and a first padding value to the target unit. The target unit processor determines whether the first padding value matches a preset specific padding value, and transmits abnormality information to the communication tool when the first padding value does not match the specific padding value. Upon receiving the abnormality information, the communication tool processor transmits the certain information including the first certain data and a second padding value different from the first padding value to the target unit.

The invention discloses a middleware-based cloud rendering method and a middleware system, and relates to the technical field of cloud rendering, and the middleware-based cloud rendering method comprises the following steps: creating an application instance, loading the application instance to a cloud rendering platform system, and starting a three-dimensional rendering task; a three-dimensional rendering task is scheduled and allocated through a resource management and scheduling module of the cloud rendering platform system according to the resource use conditions of the load and the server; receiving a three-dimensional rendering task through middleware, and transmitting three-dimensional rendering data of the three-dimensional rendering task between a client and a Web server through a two-way communication module of the cloud rendering platform system to realize real-time communication; and under the condition that the three-dimensional rendering task is finished, waiting for a next rendering task instruction. According to the method, the resource management and operation and maintenance process in the containerized environment can be effectively optimized, and the expandability, stability and usability of the system are improved.

The invention discloses an information security risk early warning and cooperative defense system oriented to industrial control environment resource optimal allocation, and relates to the field of information security. The system comprises a central control scheduling module, a risk early warning module, a resource optimization distribution module and a cooperative defense module. The central control scheduling module is in bidirectional communication connection with the risk early warning module, the resource optimization distribution module and the cooperative defense module through an industrial Ethernet. A central control scheduling module serves as a core hub, receives risk data every 100 ms, receives resource data every 200 ms, receives defense state data every 300 ms, dynamically generates a control instruction based on the data, issues and iteratively optimizes according to the sequence of risk early warning, resource optimization and cooperative defense, retries twice if receipt is not received, and re-schedules if an execution result is not consistent. And triple requirements of key infrastructures such as electric power, chemical engineering, intelligent manufacturing and the like on safety, continuity and resource efficiency are met.

The invention relates to the technical field of digital storage, and provides a method and a system for recovering long-term storage failure of a mobile terminal, through the design of a built-in independent power supply, a startup disk can still supply power continuously when the mobile terminal is in a power-off state, and the limitation of traditional OTG (On-The-Go) equipment is broken through. The read-write state of the data block of the flash memory chip is automatically monitored through the storage controller, and a health report is generated in real time; and when the early warning data block is detected, a bidirectional communication protocol is triggered. In a data backup link, a boot disk adopts a hierarchical check mechanism to generate CRC codes for each data block for centralized storage, and meanwhile, an overall SHA-256 code is calculated and double-end synchronization is performed. And in the recovery stage, the backup integrity is ensured through SHA-256 code comparison, then the data accuracy is verified block by block through CRC codes, and finally, the backup file is automatically migrated to the nonvolatile partition. The seamless closed loop from fault detection to data recovery is realized aiming at the system guidance problem after long-term storage of the equipment.

The invention discloses an osmotic pressure terminal dynamic acquisition awakening system and method based on water level change, and belongs to the technical field of reservoir dam safety monitoring, the osmotic pressure terminal dynamic acquisition awakening system is composed of a machine shell, a controller and a lithium battery, and the controller is integrated with an MCU module, a power management module, a 4G / LoRa communication module, a vibration excitation / vibration pickup circuit module, an analog-to-digital conversion module, an external watchdog module and other modules. By analyzing the water level data and the change rate thereof, dynamically adjusting the acquisition period, accurately capturing the water level change process and supporting multiple wake-up mechanisms such as RTC timing wake-up, remote communication wake-up and external watchdog reset wake-up, the equipment can still realize bidirectional communication and remote interrogation functions while ensuring ultra-low power consumption; the reliability, the cruising ability and the intelligent level of the equipment in a complex environment are remarkably improved, and the system is suitable for reservoir dam osmotic pressure safety monitoring scenes.

An artificial intelligence-based business management system for real-time decision optimization, consisting of: a data acquisition unit configured to ingest structured, semi-structured and unstructured data streams from enterprise resource planning (ERP) systems, customer relationship management (CRM) platforms, Internet of Things (IoT) devices, external market feeds and financial transaction systems, encrypting, timestamping and verifying the data prior to further processing; a graph processing unit that is communicatively connected to the said acquisition layer, wherein the unit is configured to encode heterogeneous data into dynamic graph structures comprising nodes representing business entities and edges representing transaction or relationship dependencies, wherein the unit is further configured to perform deduplication, metadata tagging and real-time data synchronization; a decision optimization unit operationally linked to the graph processing unit, wherein the decision optimization unit includes modules for reinforcement learning, modules for Bayesian optimization and multi-objective solvers configured to simulate multiple alternative decision paths and select an optimal path based on performance indicators such as cost efficiency, resource utilization, customer satisfaction and risk minimization; a real-time inference control unit with specialized hardware cores, including at least one graphics processing unit (GPU), a field-programmable gate array (FPGA) and an application-specific integrated circuit (ASIC), wherein the accelerator performs inference tasks of the decision optimization unit with a latency in the millisecond range; a diagnostic processing unit configured to generate causal diagrams, feature mapping maps, and interpretable result summaries according to the optimization outputs; and a control interface unit configured to transmit optimized decisions to process controls within the enterprise, robot actuators, planning systems or interactive dashboards, with the interface supporting bidirectional communication for higher-level interventions, error feedback and triggers for re-optimization.

The invention discloses a photovoltaic power station operation state monitoring management system and method, and relates to the technical field of power systems and automatic control, and the method comprises the steps that a dual-mode temperature monitoring module is combined with a ceramic packaging contact sensor and a multispectral filtering non-contact sensor, and a correction temperature value is output through adaptive weight fusion; the environment adaptive calibration unit dynamically corrects the drifting of the sensor based on a CNN-BiLSTM model; the edge computing node detects early symptoms of the hot spots in real time and uploads abnormal data preferentially; the multi-protocol gateway can automatically switch communication channels, and is matched with LZW compression and CRC32 verification to guarantee data transmission; the above modules establish cooperative interaction through an industrial Ethernet, an RS485 bus and the like, and are in bidirectional communication with a cloud management platform. The temperature monitoring precision in a severe environment is improved, the hot spot response time is shortened, the communication bottleneck in a remote area is solved, and stable operation of a power station is guaranteed.

The novel flexible electrodes disclosed herein utilize the low bending stiffness of electrospun nanofiber mats to achieve the material properties required for surgical implantation and sustained bidirectional communication with peripheral nerves without compromising electronic functionality. According to certain embodiments disclosed herein, implantable neural electrode probes are provided which comprise a polymeric substrate having proximal and distal ends, an electrode interface at the proximal end of the substrate; at least one neural contact at the distal end of the substrate; and electrically conductive traces formed on the fibrous substrate providing electrical communication between the at least one neural contact and the electrode interface, wherein the substrate comprises a nonwoven mass of polymeric nanofibers.