8218 results about "Information transfer" patented technology

A system and method for extending AI-enhanced decision platforms with deontic and normative reasoning capabilities that enhance adjustably autonomous decision-making through a novel integration of symbolic and neural approaches alongside quantum-inspired token management. The invention uses hierarchical and fuzzy deontic logic implementations and quantum-inspired state representations that combine complex amplitudes and phase information to manage obligations, permissions, and prohibitions while maintaining observer awareness to achieve complex goals while incorporating knowledge across multiple expert domains. The system employs dynamic event and spatio-temporal knowledge graphs along with debate mechanisms, enabling high-assurance automated reasoning while preserving explainability through neuro-symbolic integration and information-theoretic metrics. The platform is capable of operating through a federated distributed computational graph architecture that allows for arbitrary scaling while maintaining system coherence and logical consistency using quantum-inspired token operations and phase alignment transformations for optimizing information transfer between states.

The invention relates to the technical field of data processing, in particular to a method and system for processing data based on a large language model.The method comprises the following steps that based on inter-sentence punctuation positioning and part-of-speech tagging, sentence blocks are divided to generate functional partitions, themes and relational words are extracted to judge semantic chain starting points, a trigger index sequence is constructed, and logic jump points and breakpoint positions are recognized; and mapping the label structure to the language model output analysis deviation, and generating a label mapping combination list. According to the method, semantic turning nodes can be captured by analyzing the semantic direction change trend, the relation between the semantic turning nodes and verb and noun combinations is judged, the position of a trigger point of an actual information transfer effect is extracted, and the break point area of a semantic path is recognized through the positioning of key word starting and stopping blocks and the logical judgment of noun group cross combination; the path integrity has a clear fracture identifier, a traceable semantic mapping structure path is established in a language model, and the accuracy, coherence and hierarchy clearness of semantic reconstruction are enhanced.

The invention discloses an intelligent digital operation and maintenance management system and method for a charging pile, and relates to the technical field of new energy infrastructure operation and maintenance, and the system comprises an information obtaining module which determines a delay information circulation channel, obtains real-time discussion content, processes a discussion text through employing a word segmentation technology, and carries out the operation and maintenance of the charging pile. If the confidence coefficient of the semantic feature vector is higher than a preset threshold value, the semantic feature vector is judged to be a specific question type through state space definition, classified question labels are obtained, the historical matching module obtains features associated with a historical question library, historical question records are matched, and the matching precision is evaluated through reward function design. Determining a historical solution most similar to the current problem; according to the intelligent digital operation and maintenance management system and method for the charging pile, the accuracy of problem classification and solution matching is continuously improved, and intelligentization and high efficiency of operation and maintenance management of the charging pile are achieved.

The invention relates to the technical field of encryption communication, in particular to a data encryption communication method and system applied to an intelligent cash register. The method comprises the following steps: collecting user touch data and equipment hardware fingerprints, and carrying out high-dimensional feature fusion coding to obtain a joint identity certificate; obtaining an original key negotiation protocol and transmission metadata of an opposite-end server, and executing multi-logic path mapping and channel encryption configuration to obtain distributed ciphertext channel parameters; encrypting the distributed ciphertext channel parameters and the corresponding transmission metadata, and then performing block content packaging and node hash calculation to obtain an audit chain hash block; performing homomorphic encryption processing on the obtained real-time transaction data to obtain a to-be-transmitted homomorphic ciphertext; and performing communication transmission anomaly detection on information transmission data acquired in real time, and triggering dynamic key re-negotiation so as to improve the communication feedback capability. According to the invention, the overall security and stability of data encryption communication between the cash register and the back-end server can be improved.

The invention discloses an emergency communication and positioning system and method based on a Beidou satellite. The method comprises the following steps: S1, collecting data in real time; s2, analyzing the emergency state of the user by using a context awareness algorithm; s3, under the condition that the satellite communication signal is stable, transmitting the emergency information to a rescue center according to the calculated priority, if the satellite signal is unstable or interrupted, constructing a self-organizing network, and continuing to transmit the emergency information; s4, dynamically selecting an optimal path based on an adaptive path optimization algorithm inspired by an immune system, and further optimizing path selection through a space-time perception algorithm; s5, according to a priority management mechanism, the emergency information with high priority is processed preferentially, and feedback information is sent; s6, if the first emergency information transmission fails, the system starts a redundant data transmission mechanism; and S7, continuously tracking the state change of the user, and dynamically adjusting the rescue scheme. According to the invention, the situation awareness and immune system optimization algorithm is combined to realize efficient transmission and feedback of emergency information.

The invention belongs to the technical field of water quality monitoring, and particularly relates to a construction method and device of a turbidity testing system based on a photoelectric detector. Optical signal data and multi-wavelength optical signal data are obtained; performing intelligent switching and spectrum matching according to the signal data, determining a target wavelength, and obtaining characteristic parameters related to turbidity by combining a scattering and transmission combined measurement principle; measuring different standard solutions according to the characteristic parameters to obtain corresponding characteristic parameters, constructing a turbidity characteristic parameter data set, and establishing a characteristic ratio turbidity calibration model according to the data set; measuring and calculating the turbidity according to the characteristic ratio turbidity calibration model in combination with a dynamic temperature compensation algorithm, and meanwhile, performing temperature compensation; and transmitting the parameter information to a cloud database for storage, performing hierarchical processing, performing regular intelligent self-inspection at the same time, and feeding back abnormal data when an abnormality occurs. Therefore, the problems of insufficient range coverage, weak automatic calibration capability, susceptibility to temperature drift and the like in the prior art are solved.

The invention belongs to the technical field of digital information transmission, and relates to a vehicle-mounted ad hoc network security communication system and method based on an NTRU lattice cryptosystem, and the system comprises a message signature module, a message encryption module, a message decryption module, an identity authentication module, and a key exchange module. The message signature module carries out signature by utilizing a private key and a random polynomial dynamically generated by a pseudo-random number generator based on an NTRU lattice cryptosystem; the message encryption module encrypts a to-be-sent message by randomly selecting a temporary polynomial and combining a public key of a receiver; the message decryption module is used for decrypting the received ciphertext # imgabs1 # by using a private key and an inverse element # imgabs0 # of a module p of the private key; the identity authentication module is used for performing identity authentication; the key exchange module realizes secure key exchange between communication nodes in the vehicle-mounted ad hoc network through an improved Blom key distribution protocol. The system improves the security and communication efficiency of the vehicle-mounted network.

A system for breakage early warning of high-voltage transmission lines based on acoustic prints, including a data acquisition unit, an edge processing unit, a cloud server, a warning execution unit, and a communication unit. The data acquisition unit is configured to collect environmental information of a high-voltage transmission tower in real time through a multimodal sensing device. The edge processing unit includes an adaptive filtering module configured to eliminate wind noise interference in the environmental information and compensate for frequency response deviation. The cloud server can generate a warning instruction based on the environmental information. The warning execution unit can perform warning and alarming actions based on the warning instruction. The communication unit is configured to enable data and information transmission among the units. A method implemented by such system is also provided.

Systems and methods are described for transmitting broadcasts by Peripherals, receiving the broadcasts by Centrals, and communicating with a Backend by Centrals. Specifically, a Peripheral may generate and transmit an encrypted broadcast packet to a Central, the Central may transmit the encrypted observation information to the Backend, which may decrypt the broadcast packet. Additionally, a Central may transmit a request for authorization to connect to a Peripheral to the Backend. If authorized by the Backend, the Central may connect to the Peripheral. Further, a Central may receive a plurality of broadcasts over a period of time. The Central may store information about the broadcasts and, at the conclusion of the period of time, transmit the information about the broadcasts and the last-received broadcast to the Backend.

The invention provides an information transmission device and implementation method based on multi-protocol dynamic conversion and data fusion, and belongs to the technical field of information transmission, and the device comprises a multi-protocol communication interface module, a data analysis unit, a dynamic protocol conversion engine, a data fusion unit, a data assembly reporting unit and a log storage module. According to the method, information transmission is realized by initializing an interface, analyzing multi-protocol original data, dynamically converting the multi-protocol original data into a uniform format, fusing de-duplicated data, packaging, reporting and recording logs. The device and the method solve information interaction obstacles of different protocol devices, support bidirectional conversion of multiple industrial protocols, realize cross-protocol device collaboration and centralized management, improve the system intelligence level, and are suitable for scenes requiring multi-device collaboration, such as electric power, intelligent transportation, intelligent buildings and the like.

Method and apparatus for 5GS assisted adaptive AI or ML operation are disclosed. In one embodiment, an SMF comprises a processor; and a transceiver coupled to the processor, wherein the processor is configured to: receive, via the transceiver, app assistant information from a NG-RAN node, wherein the app assistant information includes at least one of predicted UL data rate of UE and predicted DL data rate of UE; and transmit, via the transceiver, the app assistant information to an AF.

The invention provides an energy storage cabin terminal remote upgrading method and system based on communication protocol optimization, and relates to the technical field of digital information transmission, and the method comprises the steps: deploying a bandwidth detection mechanism, adjusting a self-adaptive block transmission strategy, and dividing upgrading firmware into M dynamic data packets; constructing a dual-path transmission layer, and configuring a dual-path redundancy check mechanism; a missing block query rule is adopted, and a local flash memory is used for caching Hash check values of the received N dynamic data packets; analyzing a mapping relation between the block index and a multi-path redundancy check mechanism, and establishing a check mapping table; and performing real-time verification and state marking, and configuring a remote upgrading process to execute the upgrading operation of the energy storage cabin terminal equipment after incremental recombination is performed by comparing and verifying abnormal data packets. According to the invention, the technical problem of insufficient reliability of data transmission caused by lack of adaptability to a dynamic network environment due to the fact that most of energy storage cabin remote upgrading technologies in the prior art depend on a single communication path to carry out data transmission is solved.

The invention discloses an oil depot full-process comprehensive management monitoring method and system, particularly relates to the field of oil depot full-process comprehensive management monitoring, and aims to solve the problems that data correlation analysis among different links is insufficient, and potential systematic risks are difficult to comprehensively identify and predict. A transfer entropy method is introduced into upstream real-time data and historical association mapping, information transmission strength between upstream and downstream key parameters is quantitatively analyzed, and an effective causal link is established; in combination with dynamic time warping and synchronous entropy correlation degree quantity, trace deviation characteristics are matched with downstream key parameter cluster information, and a deviation propagation path is accurately drawn; strictly judging a non-stationary conduction trend from the aspects of time and structure by using a multi-scale complexity increment index and cluster structure change measurement; on the basis, a mixed integer nonlinear programming optimization model is adopted, a downstream link pre-intervention strategy is quantitatively formulated, and efficient solving of parameter adjustment and early warning signal level decision is achieved.

A method and apparatus for handling measurement prediction in a wireless communication system is provided. A wireless device derives, at a first time point, a predictive measurement result for a measurement object for a second time point. A wireless device transmits, to the network, information about the predictive measurement result. A wireless device acquire a present measurement result by performing measurement on the measurement object at the second time point. Based on difference between the predictive measurement result and the present measurement result, a wireless device transmits information about the difference to the network.

An enhanced connected logistics receptacle system that selectively retrieves and reports event information to a backend server to initiate a dispatched logistics operation related to a delivery item. The system includes a storage receptacle for receiving the delivery item, a bridge node mounted to the storage receptacle, and a wireless accessory sensor node coupled to a plurality of sensors. The wireless accessory sensor node is operative to detect a change in state of the storage receptacle based upon sensor data, record timestamped information reflecting the detected change in state, and broadcast an updated advertising signal having a data available flag set within the updated advertising signal. The bridge node processor is operative to detect the data available flag, selectively retrieve event information from the wireless accessory sensor node, and transmit the retrieved event information to the backend server to cause the backend server to initiate the dispatched logistics operation.

The invention provides an intelligent pressure management system, method and terminal for geological sequestration of carbon dioxide, and the system comprises the steps: collecting the pressure data of the interior and peripheral key positions of each geological reservoir in real time through a pressure monitoring subsystem, and then carrying out the data preprocessing and feature extraction through a data processing and analysis subsystem; and predicting the reservoir pressure change trend in a specific time period in the future. If the predicted reservoir pressure change trend pressure is too high, high-risk related information is transmitted to the intelligent regulation and control subsystem, and the intelligent regulation and control subsystem regulates and controls the reservoir pressure by regulating the flow of a carbon dioxide injection well and a production well or starting a pressure release device according to a preset strategy and dynamically regulates a regulation and control mode according to pressure data. Meanwhile, the communication and monitoring subsystem transmits system operation data to a remote monitoring terminal in real time, so that real-time monitoring is facilitated. Real-time, accurate and automatic regulation and control of the pressure of the geological reservoir are achieved, the stability and safety of the geological reservoir in the carbon dioxide injection process are guaranteed, the geological storage effect of the carbon dioxide is improved, and various negative effects caused by too high pressure are avoided.

The invention relates to the technical field of information transmission, in particular to a multi-band processing system for electronic communication, which comprises a signal separation module, a frequency deviation compensation module, an amplitude correction module, a phase correction module and a dynamic feedback adjustment module. According to the invention, a plurality of frequency bands are extracted to execute band-pass filtering to separate signal components, short-time power spectral density is calculated to describe energy distribution, normalization coefficient operation is carried out to enhance frequency domain balance, high-energy component screening is carried out to reduce noise interference, signal effectiveness is improved, and frequency offset compensation calculates a change rate based on adjacent phase data and eliminates abnormal fluctuation. A time domain coefficient is adjusted to correct a frequency offset error, amplitude correction depends on short-time Fourier transform to screen the maximum amplitude to optimize signal consistency, phase adjustment fits a group delay error curve to optimize compensation parameters, dynamic feedback optimizes a strategy according to a signal-to-noise ratio to enhance compensation precision, and signal transmission quality and stability are improved.

The invention relates to the field of 5G and digital information transmission, in particular to a 5G cloud-side collaborative content caching method, which comprises the following steps of: in a cloud-side collaborative scene, modeling user experience by comprehensively considering factors such as hit rate, transmission delay and traffic load; and the constructed cloud edge collaborative caching model is solved, and the solving process comprises content prediction based on Transform and solving based on a multi-agent reinforcement learning technology. The method comprises the following steps: splitting a cache model into a # imgabs0 # part and a # imgabs1 # part; solving # imgabs2 through a cache prediction scheme based on Transform, a deep neural network and super-dimensional calculation; and solving # imgabs3 # by adopting a deep reinforcement learning method. According to the method, the user preference information, the hot information and the user browsing history are comprehensively considered, and a differentiated feature extraction scheme is designed, so that relatively high prediction accuracy is achieved.

The invention relates to the technical field of virtual power plant fault early warning, in particular to a virtual power plant fault early warning method based on a hierarchical interactive causal graph Transform, which comprises the following steps: establishing a three-level hierarchical interactive causal graph; according to a multi-resolution causal distillation mechanism, global causal association modeling is carried out on an encoder-decoder architecture of the Transform; a multi-level contrast causal attention mechanism is introduced into a Transform model for automatic quantitative analysis; performing false correlation elimination on the inter-layer complex causal relationship according to a high-order Markov random field framework; constructing an interlayer information transfer mechanism model based on the conditional variational graph diffusion model and the actual interlayer complex causal relationship; optimizing the interlayer information transmission mechanism model; and identifying a potential cascade fault path of the virtual power plant according to the optimized interlayer information transfer mechanism model. According to the method, the potential cascade fault path can be accurately identified, and the early warning accuracy of the virtual power plant in a complex fault scene is remarkably improved.

The invention discloses an unmanned aerial vehicle multi-mode automatic obstacle avoidance method based on a Beidou system, and relates to the navigation and obstacle avoidance field in the robot field. Comprising unmanned aerial vehicle starting and navigation, image processing and feature extraction, environment mapping and path planning, obstacle recognition and avoidance, multi-modal fusion dynamic obstacle avoidance, flight control and information transmission and an emergency obstacle avoidance mechanism in an emergency. According to the invention, a Beidou system, machine vision, a deep learning algorithm and multi-sensor fusion are combined, high-precision positioning, real-time path optimization and dynamic obstacle avoidance are realized, and safe and efficient flight of the unmanned aerial vehicle in a complex environment is ensured. Through the three-dimensional mapping and ant colony optimization algorithm, the path planning efficiency is improved, the method is adaptive to the environmental change, and the autonomy, flexibility and task execution capability rate of the unmanned aerial vehicle are significantly enhanced.

The invention provides an optical image encryption method and system based on a partially coherent non-diffracting light beam, and belongs to the technical field of optical encryption and information transmission. Encoding to-be-encrypted image information into the light field cross-spectral density function; the method specifically comprises the following steps: discretizing an image as an expansion coefficient of a power spectral density function at a light source under a pseudo-mode substrate, and constructing a cross spectral density function; a complex amplitude modulation algorithm is adopted to convert light field complex amplitude distribution into a pure phase hologram, the pure phase hologram is loaded to a spatial light modulator, a multi-mode incoherent superposition partially coherent non-diffraction light beam is generated, and the multi-mode incoherent superposition partially coherent non-diffraction light beam interferes with a reference light beam to obtain a light field image; performing coordinate transformation and frequency domain filtering on the light field image to extract a complex coherence degree function; and reconstructing and restoring the original image information in combination with a preset key and a digital inversion algorithm. According to the method, the light beams are constructed based on pseudo-mode superposition, image hidden coding, transmission and decryption are realized by utilizing the characteristics of partially coherent light and non-diffraction light beams, and the method is suitable for optical communication and security information transmission.

A method and system for managing roadside information and distributing navigation information is disclosed. The embodiments provide a roadside device network configured to collect sensor data and vehicle-originated data about the local roadway. The roadside devices are spaced along the road and are connected to a central server to collect information about the impaired road condition, determine an approximate location of an impaired road condition, calculate an alternate route, and transmit an alternate route to a roadside device to transfer the information to a passing vehicle.

To provide a game machine including main control-frame control means which improves the amusement of a game.SOLUTION: In a game machine according to the invention, main control means counts the number of winnings of game balls in an opening state of a normal electric accessory; when the number of winnings reaches a predetermined number, can control the normal electric accessory to bring it into a closed state; can send winning information based on the winnings of game balls into the normal electric accessory to frame control means; counts the number of winnings of game balls in an opening state of a big winning port in a jackpot game state; when the number of winnings reaches a predetermined number, can control the big winning port to bring it into a closed state; can send winning information based on the winnings of game balls into the big winning port to the frame control means; and can send pieces of the winning information corresponding to the number of times of winnings during a predetermined period different from each opening time. The frame control means can execute a count process independent from that of the main control means on the basis of the winning information and can display a resultant count number.SELECTED DRAWING: Figure 78

The invention is suitable for the technical field of artificial intelligence and cloud computing crossing, and provides a cloud mobile phone control system based on a large language model, comprising an interaction agent used for receiving a cloud mobile phone control instruction input by a user by using a natural language, and sending the cloud mobile phone control instruction to a large language model agent; the large language model agent is used for analyzing and constructing the instruction and sending a tool calling instruction to the MCP client; the MCP client is used for initiating a remote procedure call request to the MCP server; the MCP server side is used for sending a task instruction to the cloud mobile phone control platform; the cloud mobile phone control platform is used for sending the task instruction and the equipment information to the edge server; and the edge server is used for transmitting the task instruction and the equipment information to the cloud mobile phone management service node, so that the cloud mobile phone management service node executes corresponding operation on the target cloud mobile phone. According to the invention, intelligent control of the cloud mobile phone can be realized, and the management efficiency of the cloud mobile phone is improved.

To provide a game machine including main control-frame control means which improves the amusement of a game.SOLUTION: In a game machine according to the invention, main control means counts the number of winnings of game balls in an opening state of a normal electric accessory; when the number of winnings reaches a predetermined number, can control the normal electric accessory to bring it into a closed state; can send winning information based on the winnings of game balls into the normal electric accessory to frame control means; counts the number of winnings of game balls in an opening state of a big winning port in a jackpot game state; when the number of winnings reaches a predetermined number, can control the big winning port to bring it into a closed state; and can send winning information based on the winnings of game balls into the big winning port to the frame control means. The frame control means can execute a count process independent from that of the main control means on the basis of the winning information and can display a resultant count number.SELECTED DRAWING: Figure 78

The invention discloses a motor working condition monitoring method with a high-speed data transmission capability, and relates to the field of motor operation working condition detection and information transmission. The method comprises the following steps of: synchronously acquiring multi-dimensional time sequence data of a motor under multiple working conditions, and performing data segmentation, standardization, fixed-step downsampling, frequency domain conversion and feature fusion to form a multi-dimensional feature vector; then building a BiLSTM-Attention deep learning model, extracting bidirectional time sequence dependence of the sequence, focusing key time step features, and training to obtain a working condition monitoring model; the monitoring reliability is guaranteed through a dual detection mechanism, and high-speed synchronous transmission of multi-sensor data is realized based on an EtherCAT communication protocol stack. According to the method, through collaborative modeling of multi-dimensional time-frequency feature fusion and a deep learning model, a high-speed synchronous transmission protocol stack and a dual detection mechanism are combined, motor working condition feature expression can be remarkably enhanced, and high-precision data transmission and reliable monitoring can be achieved.

The invention discloses a monitoring and early warning system for lithium battery energy storage, and relates to the technical field of lithium battery energy storage detection, and the system comprises a data collection module which is used for collecting all operation parameters of a lithium battery in real time; the data analysis module is connected with the data acquisition module and is used for receiving and analyzing the operation parameters; the early warning module is connected with the data analysis module, and when the data analysis module evaluates that the running state of the lithium battery exceeds a preset safety threshold range, an early warning signal of a corresponding level is sent out; and the communication module is used for transmitting the collected operation parameters, the analysis result and the early warning information to a remote monitoring terminal or a cloud platform. Through comprehensive data acquisition, innovative formula analysis, precise early warning and various communication and control means, the battery state is accurately evaluated, early warning is performed in time, intelligent regulation and control are performed, the service life of the battery is prolonged, safety is guaranteed, the energy utilization efficiency is improved, and efficient and stable operation of the lithium battery energy storage system is assisted.

Method and apparatus for improvement of DNS configuration for applications are disclosed. A method performed at a server comprises generating Domain Name System (DNS) information; deciding whether to transmit the DNS information to a User Equipment (UE) or to a network or to both the UE and the network; and transmitting the DNS information for use with at least one application associated with the UE according to the decision.

The invention relates to the technical field of digital information transmission, in particular to an information security transmission method of a stadium security platform based on the Internet of Things. The method comprises the following steps: integrating a TPM 2.0 security chip to an Internet of Things sensing layer, and applying the TPM 2.0 security chip to gate equipment of a stadium; an electromagnetic locking / control device and a forced synchronization mechanism are arranged on the gate equipment, and physical locking control is carried out on the gate equipment; standardized identity information data are collected through an RFID identity verifier in the gate device; and controlling an electromagnetic locking / control device and a forced synchronization mechanism based on the standardized identity information data to generate a gate control instruction. According to the stadium security and protection platform, an efficient, safe and reliable stadium security and protection platform is constructed by integrating a TPM 2.0 chip, electromagnetic locking control, RFID identity verification, dynamic micro-isolation and a block chain technology.

The invention relates to the technical field of data collection control, in particular to a connection transmission control method and system for PCB transmission, and the method comprises the steps: carrying out the data collection of a PCB card when the PCB card is detected to reach a preset scanning region, and obtaining the identification information of the PCB card; the identification information is transmitted to the MES subsystem to obtain a first instruction, and the first instruction is an instruction which is sent to the PLC subsystem after the MES subsystem receives the identification information and carries out processing based on the identification information; performing signal conversion on the first instruction to obtain a target instruction; and controlling the PCB card to carry out transmission according to the target instruction. According to the method, through cooperative work of the PLC subsystem and the MES subsystem, automatic data acquisition and transmission control of the PCB card are realized, manual intervention is reduced, continuity and real-time performance of a production process are ensured, and the automation level of a production line is improved.