606 results about "Bidirectional communication" patented technology

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 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 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 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.

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 invention relates to the technical field of fire safety, in particular to a fire operation whole-course acousto-optic identification monitoring and early warning system, which comprises front-end data acquisition equipment and rear-end data processing equipment in two-way communication with the front-end data acquisition equipment, the front-end data acquisition equipment comprises a visual information acquisition device and a sound information acquisition device and is used for acquiring a visual light source signal and a voiceprint signal of a fire operation site, encrypting the visual light source signal and the voiceprint signal and transmitting the signals to the rear-end data processing equipment; the rear-end data processing equipment comprises a feature extraction and analysis module and a platform early warning module; the feature extraction and analysis module is used for carrying out feature extraction on the received visual light source signal and voiceprint signal and carrying out fire operation danger signal identification based on extracted feature parameters; and the platform early warning module is used for determining the current risk level and carrying out risk early warning based on the fire operation danger signal identification result, so that pre-identification and timely alarm of the danger signal in the fire operation process are realized.

The invention discloses a load response capability evaluation method and system, and the method comprises the following steps: 1, obtaining multi-dimensional power consumer information data, carrying out the statistics and summarization of the obtained multi-dimensional power consumer information data, and constructing a power consumer response potential evaluation index system; according to the method, multi-dimensional power consumer information is acquired, an evaluation index system is constructed, data are converted into fuzzy rough numbers, then a decision matrix is established, an entropy weight method and a step-by-step weighting evaluation analysis ratio method are fused to calculate a comprehensive weight, a weighting matrix is obtained through normalization, and then a comprehensive evaluation value is calculated through a fuzzy rough multi-attribute boundary approximation region comparison method. Screening users with high response potential; according to the matching system, through cooperation of seven modules, collection frequency self-adaption and power grid dispatching two-way communication are achieved, the problems that in the prior art, user screening is not accurate, evaluation is not comprehensive, and weight subjectivity is high are solved, and evaluation accuracy and reliability are improved.

A stylus capable of bidirectionally communicating with a sensor controller includes a receiver that receives an uplink signal sent by the sensor controller, a controller that determines whether a signal having a predetermined waveform is to be continuously sent over a second time period or to be continuously sent over a first time period longer than the second time period, on the basis of the uplink signal, and a transmitter that continuously sends the signal having the predetermined waveform over the first time period or the second time period on the basis of the result of determination by the controller. As a result, the sensor controller can detect a burst signal from the stylus over a wide range in a sensor touch surface, to thereby reduce the possibility that the sensor controller may fail to detect the burst signal.

A protocol for controlling lighting devices within a network enables bidirectional communication between different connected devices, any of which may function as a server, a device, a broker, or multiple of these roles. Upon initialization of the network, a server device requests a basic configuration data file from each device on the network and, thereafter, requests a more extensive configuration data file identifying capabilities and functionalities of the device which the manufacturer has made discoverable. Each device sends its basic configuration file to the server device upon any of power on, reboot, reset, hardware configuration change, or software change to the respective device. A device on the network can also be a collection of sub-devices each of which may be separately identified, and their respective capabilities evaluated, so that the server can separately control either the device or any of the individual sub-devices.

The invention relates to a plug-in multi-protocol industrial control system and method based on functional unit modeling. The plug-in multi-protocol industrial control system comprises a physical interface layer, a protocol packaging layer, an equipment driving layer, an abstract functional unit layer, an abstract functional module layer, a control logic layer and a configuration driving module. The physical interface layer realizes multi-platform compatibility through a unified asynchronous event interface; the protocol packaging layer integrates a protocol through a plug-in; abstracting a device behavior by a device driver layer, and dynamically binding the device behavior with a functional unit; the abstract function unit layer abstracts equipment functions into standardized function units and realizes two-way communication; the abstract function module layer combines function units into a high-level module and supports dynamic loading and unloading; the control logic layer realizes various flow control; and the configuration driving module analyzes the configuration file to realize configurable operation of the system. According to the system disclosed by the invention, the problems of difficulty in multi-protocol adaptation, poor control logic reusability and low configuration degree are solved through layered communication architecture, protocol plug-in, functional unit abstraction and event-driven mechanisms.

The invention relates to a network unified monitoring and operation and maintenance management system in a multi-cloud environment, and belongs to the technical field of cloud computing and network operation and maintenance crossing. The system is characterized in that an intelligent perception and adaptation access module performs bidirectional communication with a heterogeneous cloud platform through a dynamic protocol adaptation engine, and an edge preprocessing unit completes data primary processing and security authentication; the data processing and analysis module constructs a stream batch integrated architecture, establishes a cross-cloud unified topology model by using a knowledge graph technology, and realizes multi-dimensional data analysis through a distributed time sequence database; the strategy generation and scheduling module performs strategy pre-verification, issues an operation and maintenance instruction through a transaction consistency mechanism, and establishes a closed-loop feedback loop to continuously optimize a decision; the unified operation and maintenance portal module integrates three-dimensional topology, visualizes security situations and operation and maintenance decisions, and provides fault traceability and strategy interaction capability. According to the invention, unified monitoring, intelligent analysis and automatic operation and maintenance of a multi-cloud network environment are realized.

The invention relates to the technical field of industrial Internet of Things, edge calculation, silk-screen and the like, and provides a substrate silk-screen method and equipment based on an intelligent silk-screen unit, and the method comprises the steps: configuring a feeding mechanism, a dust removal mechanism, a pre-printing alignment mechanism and a printing mechanism which are connected in sequence, and establishing an industrial Internet of Things information sensing layer and an edge gateway which are in two-way communication with the feeding mechanism, the dust removal mechanism, the pre-printing alignment mechanism and the printing mechanism. Order and formula data are received through a gateway, multi-source sensing point location real-time data are fused, a production model with a unified time reference and batch identification is constructed, and process parameters are dynamically issued. And during feeding, the model and the warping degree of the substrate are automatically recognized, and dust removal parameters are synchronously adjusted. In the printing process, screen tension, scraper stress, motor current and printing ink rheological property are monitored in real time and fused to obtain a printing ink comprehensive rheological characteristic value, scraper parameters and an ink return time sequence are cooperatively regulated according to the printing ink comprehensive rheological characteristic value, and a printing quality estimated value is output. According to the method, collaborative optimization and quality estimation of the whole printing process are achieved, and the production adaptability and consistency of product printing are improved.

A wireless environment parameter monitoring node system based on Bluetooth MESH networking belongs to the technical field of wireless self-organizing sensor network structures, and comprises a laboratory environment monitoring network formed by a plurality of nodes through a Bluetooth MESH self-organizing network; each node is composed of a digital environment parameter sensor module, an electronic paper display module, a lithium battery module, a power management module, a Bluetooth MESH communication module and a master control module, and the master control module is in bidirectional communication connection with the digital environment parameter sensor module, the electronic paper display module, the power management module and the Bluetooth MESH communication module. The lithium battery module is bidirectionally connected with the power management module, and the power management module is connected with the digital environment parameter sensor module. The laboratory environment monitoring system has the characteristics of low cost, small size, low power consumption and the like, can complete large-area multi-laboratory environment monitoring tasks through multi-node networking, is an effective supplement for existing manual reading and single-machine environment monitoring equipment, and conforms to digital scene application of laboratory management system authentication.

The invention provides a steel pipe whole-process intelligent tracking system based on multi-mode sensing fusion, and relates to the technical field of ferrous metallurgy intelligent manufacturing. The system comprises the following modules: a visual perception module, which is used for collecting the appearance characteristics, the spatial position and the motion state of a steel pipe in the whole process of steel pipe tracking; the one-by-one tracking and decision-making module is used for constructing a closed-loop work flow comprising data acquisition, fusion processing, decision-making output and feedback optimization by deeply fusing visual perception information and multi-source industrial signals; and the control interaction module is in two-way communication with the bottom PLC and an upper computer, receives equipment signals, feeds back the equipment signals to the tracking module, issues a tracking / alarming instruction to the PLC and synchronizes data to the MES. According to the method, the problems of blind areas, information chain scission and manual dependence of traditional tracking are solved, the whole process of the hot-rolled seamless steel pipes from a cooling bed area to material frame bundling through saw cutting segmentation is achieved, and one-by-one accurate tracking and quality control are achieved.

A power and communication transmission arrangement includes an electronic accessory having a first modulator / demodulator. A motor vehicle includes a charging system to provide a power signal to the electronic accessory. At least one electrical conductor carries the power signal from the charging system to the electronic accessory. An infotainment system bi-directionally communicates with the electronic accessory. A second modulator / demodulator modulates the power signal based upon first signals received from the infotainment system to form first modulated power signals such that the first modulator / demodulator demodulates the first modulated power signals to extract the first signals for use in the electronic accessory. The first modulator / demodulator modulates the power signal based upon second signals from the electronic accessory to form second modulated power signals such that the second modulator / demodulator demodulates the second modulated power signals to extract the second signals for use in the infotainment system.

An automatic cruise control (ACC) system for vehicles and a method for communication therein are provided. The ACC system includes vehicle sensors configured to measure vehicle parameters and generate sensor data; vehicle controllers configured to receive a subset of the sensor data and actuate a vehicle automatic cruise control component; a distributed data services (DDS) bus connected to each of the plurality of vehicle sensors and each vehicle controller; and a publisher / subscriber DDS middleware connected to the DDS bus configured to bi-directionally communicate between each of the plurality of vehicle sensors and each of the plurality of vehicle controllers. The vehicle sensors are configured as a publisher of respective sensor data. The vehicle controllers are configured as a subscriber to a subset of the sensor data and as a publisher of topics generated by the respective vehicle controller. QOS policies govern the behavior of the topics.