920 results about "Logic module" patented technology

The invention discloses an intelligent door and window control method and system based on indoor environment analysis, and relates to the technical field of door and window control, in the operation process of the system, temperature, humidity, illumination conditions and noise conditions are collected in real time through sensors, preference settings and operation historical records of a user are collected through voice recognition and gesture recognition, and the user experience is improved. Technical parameters provided by door and window manufacturers are used as a first data set, a second data set and a third data set to carry out preprocessing, analysis and extraction, preference setting and habits of users are recognized, an intelligent door and window control index Znkz is obtained through calculation, and the intelligent door and window control index Znkz is obtained according to indoor environment parameters and user preference information. The intelligent door and window control index Znkz is compared with a preset standard threshold value M and a preset standard threshold value N, the current environment state and user requirements are evaluated, a door and window control strategy is made, the opening and closing states of doors and windows are controlled according to instructions of the decision logic module, and a user interface used for interaction is provided.

An ultrasound imaging system configured to generate a three-dimensional (3D) ultrasound image of a target area. The ultrasound imaging system includes a console including one or more processors and non-transitory computer readable medium having stored thereon one or more logic modules, and an ultrasound probe configured to acquire a plurality of ultrasound images of a target area. The ultrasound probe can be coupled to the console by an ultrasound probe connector having optical fiber including one or more core fibers. The console is configured to generate the 3D ultrasound image by stitching together the plurality of ultrasound images, starting from a point of reference. The point of reference can be the ultrasound probe, one or more anatomical targets, an elongate medical device, a reference magnet, or one or more accelerometers.

Some implementations of the disclosure provide a computer-implemented method including operations of receiving, by an orchestration agent, user input corresponding to a user question, wherein generating a response to the user question includes one of generating, editing, or refining programming code, and generating, by the orchestration agent, a prompt instructing a first sub-large language model (LLM) to perform a first task. In response to the prompt, generating, by the first sub-LLM, instructions for a second sub-LLM to perform a second task, wherein results of performing the second task by the second sub-LLM are provided to the first sub-LLM and performing, by the first sub-LLM, the first task utilizing the results of the second task generated by the second sub-LLM. An additional operation includes generating, by the orchestration agent, a GUI that displays the response to the user question, wherein the response includes or is based on the programming code.

The invention discloses a biological hazard big data analysis and monitoring early warning system, and relates to the technical field of public health safety, and an analysis subsystem in the system comprises a core logic module comprising a quality control unit, an error correction unit, an assembly unit and a box separation unit; the unit analysis module comprises a pathogen analysis unit, a resistance gene unit, a virulence evaluation unit and an evolution development unit; the flora integrated analysis module comprises a traceability analysis unit, a mutation characteristic unit, a propagation evolution unit and a transformation management and control unit; the early warning subsystem comprises a risk assessment and early warning system design unit, a dynamic research and propagation analysis unit, an assessment model construction unit, a pathogen evolution and function research unit, a toxicity and propagation risk comprehensive prediction unit, a pathogen risk monitoring network unit and an unknown pathogen and potential risk identification unit. According to the method, the biological hazard data can be comprehensively, efficiently and accurately analyzed.

The invention provides an intelligent current bid evaluation project system and method based on multi-level scoring logic, and belongs to the technical field of intelligent bidding, the system comprises a layering module, a logic module, an adjustment updating module and a prediction module, and through systematic top-to-bottom classification and in combination with data analysis and market trends, a bid evaluation result is obtained. A current bid evaluation project standard can be objectively quantified, the interference of subjective judgment is reduced, meanwhile, a dynamic adjustment mechanism ensures that the scoring model adapts to a changing market environment, so that the scoring model is more flexible and applicable and has the capability of predicting the bidding success probability and the potential risk, a bid invitation organization is helped to make a more intelligent decision, and the bid invitation efficiency is improved. Therefore, the bidding success rate and the effectiveness of project implementation are improved.

The invention provides a transformer substation operator safety monitoring method based on video analysis. A monitoring system comprises a video acquisition module, a deep learning identification detection module, a frame difference module and a subsequent logic module. The video acquisition module is used for acquiring video data of substation field operation personnel, then inputting video images into the deep learning identification detection module for data identification, and transmitting detection and identification results into the rear frame difference module for data comparison. A comparison result is transmitted to a follow-up logic module to judge whether the behavior of the substation field operation personnel is safe or not. According to the substation operation personnel safety monitoring system based on video analysis, a frame difference method and a deep learning identification detection method are combined; the transformer substation environment is monitored in real time to analyze whether field operators correctly wear safety helmets, whether safety belts are hung at low positions and used at high positions, whether construction behaviors are compliant, whether dangerous behaviors exist and the like, and the construction standard and safety of the transformer substation operators are ensured.

A magnetic-based tracking system for tracking an ultrasound probe. The tracking system can create a three-dimensional visualization. The tracking system can include a reference device including a reference magnet and an ultrasound probe including an ultrasound acoustic transducer or acoustic array that acquires ultrasound images. The reference device can include a magnetometer that detects a magnetic field generated by the reference magnet. The ultrasound probe can couple a first ultrasound image with a first magnetic field strength, wherein both of the first ultrasound image is received and the first magnetic field strength is detected at a first time. The system can include a console including a processor and non-transitory computer-readable medium having stored thereon a plurality of processor executed logic modules that perform operations including receiving and recording a plurality of coupling of ultrasound images and detected magnetic field strengths to generate a 3D visualization from the ultrasound images.

The embodiment of the invention provides a hot plug test board, a hot plug test system, a hot plug test method, hot plug test equipment and a medium, and relates to the field of internet big data. The hot plug test board comprises a logic module, a signal switch switching unit and a power supply detection unit, the logic module is connected with the signal switch switching unit and used for transmitting an NVME signal and controlling gating and cutting off of the signal switch switching unit so as to achieve hot removal or hot addition of the NVME hard disk, and the signal switch switching unit responds to control of the logic module and controls the power supply detection unit to detect the power supply of the NVME hard disk. And the NVME signal transmission to the NVME hard disk is gated or cut off, and the power supply detection unit is connected with the NVME hard disk and is used for detecting whether the NVME hard disk is normally powered off or powered on after hot plugging. Through the mode, the NVME hard disk hot plug test can be efficiently and conveniently carried out on the premise of not influencing the overall structure and the hardware and software logic of the original server.

In one embodiment, a method includes accessing transaction data associated with a protected first function of a first blockchain transaction protocol by a cybersecurity authentication service of a blockchain cybersecurity platform, accessing a transaction protocol runbook comprising preconfigured conditions associated with the protected first function, determining that the protected first function is eligible to be analyzed by an automated decisional logic module based on the transaction protocol runbook, determining each preconfigured condition is satisfied based on the transaction data by the automated decisional logic module, generating an authentication object for the protected first function, generating signed transaction data based on the accessed transaction data and a private encryption key, wherein the signed transaction data is configured to update a second blockchain transaction protocol to indicate that the protected first function is authenticated, and transmitting a transaction bundle comprising the accessed transaction data and the signed transaction data.

The invention discloses an HTML (Hypertext Markup Language) information extraction method and device based on a multi-LoRA cascade strategy, equipment and a medium, and relates to the technical field of HTML information extraction. The information extraction method comprises the following steps: acquiring a document and inputting a large language model; and the large language model judges whether a table is included. And if the table is included, calling a table processing LoRA adapter to extract table content and convert the table content into pseudo natural language description, calling a text processing logic module to extract adjacent text contexts of the table, and then performing semantic integration to obtain first text information. And if the table is not included, calling a text processing module of the table processing LoRA adapter to extract the text content, and obtaining the first text information. And calling a key information extraction LoRA adapter, and extracting the structured key value pair from the first text information to generate JSON data. And calling a nested structured generation module to convert the JSON data into a target sequence in a multi-layer nested JSON format.

The invention relates to the technical field of safety circuits, and provides a diagnosis method and circuit of a digital-to-analog conversion circuit, equipment and a medium. According to the method, two independent AI acquisition modules are arranged to respectively acquire analog quantity signals acquired at the same target measurement point, the acquired analog quantity signals are converted into digital signals through a built-in ADC circuit, and then the two paths of digital signals are transmitted to a safety logic module to be compared and judged; when the difference value of the two paths of digital signals is smaller than the preset safety threshold value, it is determined that the ADC circuit passes the diagnosis, and when the difference value of the two paths of digital signals is larger than or equal to the preset safety threshold value, it is determined that the ADC circuit does not pass the diagnosis, and therefore it is not needed to independently configure a DAC circuit for the ADC circuit in each AI collection module; the implementation difficulty and the implementation cost of the diagnosis circuit are reduced, the development period of the diagnosis circuit is shortened, and the diagnosis efficiency is improved.

The invention belongs to the field of overvoltage protection, and relates to an overvoltage stabilizing and protecting device which comprises a data acquisition operation module, a control logic module, a display module, an overvoltage protecting assembly and a high-voltage vacuum circuit breaker or an electric isolation handcart structure. The real-time monitoring and protection of the working state of the overvoltage protection assembly are realized; through the arrangement of the high-voltage circuit breaker or the electric isolation handcart, when the overvoltage protection assembly is detected to be abnormal, the connection between the overvoltage protection assembly and the high-voltage bus can be rapidly cut off, so that the system safety is ensured; the device integrates a transient fault recording function and can capture wave map data before and after a power frequency overvoltage fault of the system; the overvoltage protection assembly in the device adopts a geometric center air cooling heat dissipation mode, the fan is quick in starting response, the operating temperature of the overvoltage protection assembly is greatly reduced, the operating time of the overvoltage protection assembly can be effectively prolonged, and the device adopts an integrated modular structural design, so that the operation safety, the maintenance and the management are greatly facilitated.

The invention discloses an intelligent director system for a symphony concert scene, and the system comprises an audio and video stream receiving and decoding module which is used for decoding original audio and video data at the same time, and transmitting the decoded audio and video data to a feature detection module; the total spectrum analysis module is used for identifying and analyzing the total symphony spectrum data and sending an identification result to the switching logic module; the feature detection module is used for analyzing the decoded video and audio data, identifying various musical instruments appearing in a video frame picture, the scene type of the current picture and the quality of the picture, and providing the identified musical instruments, the scene type and the quality to the switching logic module as reference information; the switching logic module is used for judging whether the current picture can be cut out or not according to a switching judgment rule; and the director visualization module is used for playing the picture cut by the switching logic module. According to the invention, automatic broadcasting of the symphony concert performance is realized.

Some implementations of the disclosure provide a computer-implemented method including operations of receiving a user question by an orchestration agent, where generating a response to a user question includes generation of programming code, executing, by a sub-large language model (LLM), an instruction to generate the programming code and performing, by the sub-LLM, a validation process including determining whether the programming code generated by the sub-LLM includes a syntax error. When the validation process indicates the programming code does not include the syntax error, the method includes operations of invoking a logic module configured to execute the programming code, wherein the logic module is provided the programming code generated by the sub-LLM and executes the programming code and generating, by the orchestration agent, a graphical user interface that displays the response to the user question that includes or is based on results of execution of the programming code.

A decentralized mesh-network platform provides real-time governance, supervision, and audit of large-language-model persona agents in regulated environments such as healthcare. Each computing node hosts processor circuitry, memory, a network interface, and an integrated suite comprising a User-Prompt Interface, Metadata Filter & Enrichment Engine, Persona Role Constructor, Policy Constraint Engine, gating logic module, Supervisor Review Interface, Session Memory Governance Module, Audit Logging Subsystem, cryptographically linked audit ledger, and Fallback Control Module. Devices communicate over a peer-to-peer channel, exchange role-switch tokens, and merge local ledgers into a composite audit graph when connectivity returns. The architecture supports continuous compliance and resilient operation across institutional boundaries, network partitions, and device failures, enabling conversational interaction with heterogeneous medical data while maintaining rigorous credential lineage, policy oversight, and forensic traceability.

The invention belongs to the field of electronic circuits, and provides a zero-cross detection circuit with an anti-crash function, a switching power supply and electronic equipment. The circuit comprises a current output module, a capacitor module, a switch module, a comparison module and a logic module, the capacitor module is connected with the current output module, the switch module and the comparison module, the current output module is connected with the switch module and a power module, and the logic module is connected with the switch module and the comparison module. And the current output module, the capacitor module and the switch module are also grounded. The logic module determines the working state of the circuit through the zero-crossing signal output by the comparison module, when the zero-crossing detection circuit enters a dead halt state, the reset signal is output according to the clock signal and the zero-crossing signal, and the switch module is controlled to be switched on periodically, so that the capacitor module is discharged periodically, the zero-crossing detection threshold value is reduced slowly, and the zero-crossing detection efficiency is improved. Finally, the zero-cross detection circuit can normally trigger zero-cross detection, and the reliability and efficiency of the switching power supply are improved.

The invention discloses an analyzing and editing system and device for high-frame-rate rendering of a PDF document, and the system comprises a file list uploading module which is used for uploading a pdf file and displaying a version historical record list and information; the document analysis logic module is used for reading and analyzing document information, determining a block level sequence of obtained data, deleting useless elements, and carrying out content sorting and splicing according to a layout; the pdf original document display module is used for executing pdf document title display operation, document display page cutting operation, document directory generation operation and document analysis display result operation in original document uploading, and the document directory generation operation comprises the steps of capturing multi-level digital numbers of documents, classifying number types according to matching results of capture groups in regular expressions, and storing the classified numbers in a database; and then numbering processing is carried out through a specified hierarchy mapping rule, and finally a file directory number is obtained. The problems that a traditional tool is inaccurate in analysis, low in editing efficiency and poor in professional adaptation can be effectively solved.

The invention discloses an unmanned loading vehicle autonomous loading and unloading method suitable for mining area bulk cargo transfer, and relates to the technical field of mining unmanned loading and unloading and transportation control, and the method comprises the following steps: S1, carrying out function division on an open-air mining area to obtain a corresponding bulk cargo stacking area, an unmanned loading vehicle waiting area and a truck waiting area; and S2, an autonomous loading and unloading system is integrated on the unmanned loading vehicle, mining area environment information is obtained through the autonomous loading and unloading system, a global map of an operation area is constructed, an operation path is planned, loading and unloading operation is completed, and in the autonomous loading and unloading system, a loading and unloading operation logic module serves as a main process. According to the unmanned loading vehicle autonomous loading and unloading method suitable for mining area bulk cargo transfer, all scenes in the mining area bulk cargo loading and unloading process are independently achieved through the unmanned loading vehicle, that is, the unmanned loading vehicle can accurately construct an operation environment map through an advanced sensor and an intelligent algorithm, and efficient autonomous loading and unloading are achieved.

The embodiment of the invention provides a chip and electronic equipment, the chip comprises a plurality of chip ports, a port multiplexing logic module and a scanning test logic module, the port multiplexing logic module is provided with a plurality of groups of first ports and a plurality of groups of second ports, and the plurality of chip ports are divided into a plurality of groups according to preset granularity; each group of chip ports is connected to at least one of a plurality of groups of first ports and a plurality of groups of second ports of the port multiplexing logic module, and the plurality of groups of first ports or the plurality of groups of second ports of the port multiplexing logic module are connected to the scanning test logic module; and the port multiplexing logic module is used for controlling gating of a path between the chip port and the scanning test logic module by taking a preset granularity as a unit according to the control instruction. According to the embodiment of the invention, the problems of unreasonable I / O allocation and long test time of large-scale complex chips in related technologies can be solved, the degree of freedom of I / O allocation is improved by setting the granularity of I / O allocation, the I / O resources are dynamically adjusted in the test stage, and the chip test time is shortened.

The invention belongs to the technical field of advanced auxiliary driving, and discloses a simulation video injection device and method for a vehicle-mounted electronic control unit, and the device comprises a video interface retiming module, a programmable logic module, a processor interface to serial link module, and a storage module. When a simulation video output by a server is sent to a vehicle-mounted electronic control unit, a programmable logic module carries out protocol analysis processing, color conversion processing and format conversion processing on the simulation video so as to ensure that the simulation video has high definition and high quality; the simulation video subjected to format conversion processing is sent to the processor interface to serial link module; and the processor interface-to-serial link module sends the packaged simulation video to a vehicle-mounted electronic control unit, so that the simulation video has relatively low injection delay, and the overall verification process of an advanced auxiliary driving algorithm is further improved.

The invention relates to the technical field of motor starting control, and discloses a large-current starting method suitable for a direct current motor, and the method comprises the steps: continuously monitoring the temperature data in the starting process of a driving motor through a temperature detection module, and collecting the current data in the starting process through an OCP detection module; collected temperature data and OCP monitoring characteristics are input into the restart logic module in a delayed mode, the restart logic module judges whether restart is conducted or not according to a preset algorithm and generates a first restart instruction or a second restart instruction, and the bridge drive circuit controls the motor to be started and restarted according to the received instruction till the motor is started successfully. By monitoring temperature and current data in real time, damage caused by overheating or overcurrent of the motor can be effectively prevented, the restart period is dynamically adjusted, the success rate of starting of the driving motor is increased, starting failure caused by overcurrent protection or overheating protection is avoided, and the service life of the motor is prolonged. The problem that in the prior art, when a large-capacity direct-current motor is started, current interruption is prone to occurring is solved.

The invention relates to the technical field of Ethernet communication, in particular to an automatic negotiation and link training architecture based on an FPGA and a control method, and the architecture comprises a PMA physical medium connection module which comprises a plurality of channels, and each channel is provided with an AN / LT unit; the SWH exchange and processing module is used for receiving a plurality of channel data and distributing the channel data to the corresponding PCS physical coding sub-layer modules so as to carry out coding operation and decoding operation on the channel data; the AN auxiliary logic module and the AN / LT channel control logic module are mutually independent from the PCS physical coding sub-layer module, the AN auxiliary logic module is used for assisting the automatic negotiation function of an AN / LT unit, and the AN / LT channel control logic module is used for controlling the automatic negotiation and link training process of the AN / LT unit and channel rebinding processing. The invention provides a more flexible AN / LT architecture, and the capability of coping with complex and changeable working conditions is improved.

The invention discloses a debugging system and a debugging method of an RISC-V architecture, and relates to the field of processor debugging, the debugging system comprises a debugging host, a transport layer interface, a debugging module, a debugging logic module in a processor core and a monitoring module, and all the components are in communication connection in sequence. According to the invention, by supporting an RV32 / RV64 double-word-length processor, being compatible with a U / S / M full privilege level operation mode and adapting to various mainstream open-source RISC-V cores and self-defined cores, compared with the existing scheme only supporting a single architecture variant, the method does not need to reconstruct debugging logic for different core types, reduces the core adaptation cost, does not need to customize a debugging instruction or a tool chain process, and has the advantages that the debugging efficiency is improved, and the debugging cost is reduced. Through the register and protocol standardization, the method has high compatibility, and the cross-platform debugging cost is reduced.

The invention belongs to the technical field of material length measurement, and particularly relates to an anti-blocking pipe operation control method and device in the positive-pressure dense-phase pneumatic transportation process. Compressed air is introduced into a conveying pipeline of a conveying system, feeding is conducted, then pulse airflow is introduced into the conveying pipeline, so that materials form a material plug and flow, and when the length of the material plug exceeds a preset maximum value, an anti-blocking control logic module is started; the pulse frequency of the pulse air, the conveying flow of the compressed air and the feeding rate of the conveying system are sequentially increased, so that the length of the material plug is adjusted, and in each step, when the length of the material plug is reduced to be below the preset maximum value, the anti-blocking control logic module is closed, and the effect cannot be achieved, an alarm is given. Based on precise control of the material plug length, the problem that plug flow is prone to being blocked in the conveying process is effectively solved, the operation stability of a plug flow pneumatic conveying system is improved, the pulse frequency, the conveying air volume and the feeding rate are controlled step by step, and the remarkable energy-saving effect is achieved.

The invention relates to the technical field of software configuration management, and discloses a dynamic configuration analysis processing method and system based on a user-defined XML file, and the method comprises the following steps: S1, receiving a service request, and obtaining service data containing dynamic parameters; s2, acquiring a corresponding configuration object model according to the configuration identifier; s3, traversing the dynamic variable mapping table; s4, if the configuration relates to the external reference, recursively loading the external configuration file and merging the external configuration file to the current configuration context; s5, selecting a cache or dynamic loading strategy according to the configuration type; s6, injecting the final configuration into the service logic module; and S7, dynamically refreshing the configuration through a monitoring mechanism. Standardized XML format specifications are constructed through customized DTD, analysis of cross-file reference labels and dynamic attribute identifiers is supported, unification and modularization of configuration formats are achieved from the bottom layer, the problem of analysis logic fragmentation is fundamentally solved, and the efficiency and flexibility of enterprise-level configuration management are improved.

The invention discloses an overcurrent protection circuit and a BUCK type DC-DC converter, and relates to the technical field of integrated circuits. The over-current protection circuit can be applied to a BUCK type DC-DC converter, and comprises an over-current judgment circuit which is connected with the output end of the converter and is used for sampling a current signal output by the converter according to a preset proportion and converting the sampled current signal into an over-current detection signal; the digital logic module is connected with the output end of the overcurrent judgment circuit and the control end of the converter, and is used for sampling the overcurrent detection signal, counting overturning signals of the overcurrent detection signal in each switching period of the converter, judging whether the converter is in an overcurrent state or not on the basis of a count value, and if the converter is in the overcurrent state, outputting the overcurrent detection signal; and if so, outputting a turn-off signal to the converter to turn off the converter. The over-current protection circuit is simple in control logic and low in power consumption, and can prevent the occurrence of false touch in over-current detection.

The invention discloses a fully-enclosed line subway signal fault diagnosis system, and relates to the technical field of subway signals, the system comprises a communication monitoring module, a fault identification module, a self-healing control unit, a redundancy communication management module and a data recording module, and the communication monitoring module further comprises a temperature adaptation logic module and a feedback unit. Through the collection, classification and feature extraction technology of historical train operation data, the difference and generality between different signal transmission nodes are analyzed, an abnormal feature library is formed and stored and recorded in a data recording module, then when the system operates, abnormal features are matched according to actual data, corresponding node regulation and control instructions are dynamically generated, and the corresponding node regulation and control instructions are sent to the system. The instructions can actively optimize the signal transmission quality and reduce or completely solve the risk of instant communication interruption, information is fed back in real time through the fault recognition module, and the redundancy control system is switched to achieve smooth transition when the main system fails.

The invention discloses a fault arc detection system and method based on multi-source fusion and federated self-learning. The system comprises a sensor, a data processing and feature extraction module, an edge AI module, a decision logic module, a cloud server and a communication module. The method comprises the following steps: firstly, carrying out system starting and self-inspection, then carrying out multi-source data synchronous acquisition, then carrying out data preprocessing, multi-modal feature generation and lightweight edge AI model reasoning, finally carrying out fault judgment and rapid breaking control, and carrying out logic judgment according to an AI model output result. And when the fault arc is judged to be true, the breaking action of the circuit breaker is quickly executed, and an event is recorded and reported. Through innovation in three aspects of multi-source information fusion, real-time AI identification and federal self-learning updating, full-working-condition, high-precision, fast-response and evolvable fault arc detection is realized, the problem of pain points in the prior art is solved, and the method can be widely applied to the field of low-voltage power distribution safety protection and has remarkable practical value and popularization prospect.

The invention discloses a configuration recovery method of a storage system, electronic equipment, a program and a storage medium, and is applied to the technical field of storage. The configuration data comprises hardware information, logic information and network information; packaging the configuration data to obtain a configuration file in a standard format and storing the configuration file; when the configuration of the storage system is recovered, reading the configuration file, and for any configuration item of the storage system, generating an execution command for the configuration item; for the service configuration items, sorting execution commands of the service configuration items based on service dependency rules in the logic information; the execution commands of all the configuration items are sorted according to the execution sequence of the configuration items, an executable logic module is generated, and the executable logic module is executed to conduct configuration recovery on the storage system. By means of the scheme, configuration recovery of the storage system can be effectively achieved, and universality and reliability are guaranteed.

The invention discloses a ship ladder braking and lift car leveling safety state monitoring system based on digital twinning, which relates to the technical field of mechanical and electrical engineering, and comprises a system integrated leveling monitoring module, which adopts a salt mist resistant fiber grating displacement sensor and a magnetic railing ruler-Hall array closed loop verification mechanism and is combined with an anti-corrosion stay wire encoder; high-precision leveling detection is realized; the vibration signal separation module effectively recognizes braking abnormity through a triaxial accelerometer and a self-adaptive signal processing technology; a dynamic twin adaptive engine is fused with the ship ladder dynamic model and a transfer learning algorithm, and control parameters are adjusted in real time; and the cross check logic module automatically reconstructs data when the sensor is abnormal, so that the reliability and the fault-tolerant capability of the system are ensured. According to the invention, the berthing position error of the lift car is controlled within a safety range under different loads, speeds and sea conditions of the ship ladder, so that the riding comfort and safety are improved.