53 results about "Delayed response" patented technology

The invention relates to the field of vehicle control, and particularly discloses a tractor hybrid power cooperative control method, system and device and a medium, and the method comprises the steps: collecting state parameters of a whole vehicle, an agricultural implement and a power system in real time, employing a fusion rule and a real-time optimized energy management strategy to analyze an operation mode, and calculating an initial power distribution target; dynamic coordination is carried out by taking optimal system efficiency and battery state maintenance as targets, smoothness verification and closed-loop feedback correction are carried out on an output instruction, and a final control instruction is generated, issued and executed; the system correspondingly comprises a perception analysis module, a decision making module, a coordination verification module, an execution module and a learning evolution module. By constructing full-link closed-loop control, self-adaptive dynamic optimization and reliable cooperation of the power system are achieved, the online learning ability is achieved, the problems that in a traditional method, control is extensive, response is delayed, and self-adaptability is lacked are effectively solved, and the operation economical efficiency, smoothness and long-term adaptability of the tractor are improved.

The invention discloses a large model edge collaborative decision-making method and system oriented to a dynamic scene, and relates to the technical field of data processing and analysis, and the method comprises the steps: calling original monitoring nodes to establish an original monitoring topological structure after an emergency event occurs; verifying the activation identifier through communication, analyzing function loss, and establishing first demand data; an emergency scene and second demand data are configured, a temporary edge agent is configured after a demand is analyzed, and networking is carried out; after networking succeeds, the edge agent reads the monitoring data and independently makes a decision to form a first decision result; and finally executing communication interaction and role evolution conflict game analysis to generate a second decision result. The technical problems that in the dynamic scene, a traditional data processing mode is difficult to adapt to environment changes, response is delayed, and multi-agent decision conflicts cannot be coordinated are solved, and the technical effects that data processing is timely and efficient, decision making is accurate and reliable, and the collaborative decision making requirement in the dynamic scene is met are achieved.

The invention relates to the technical field of railway engineering safety monitoring and authority management, and discloses a railway engineering construction authority management system based on multi-dimensional conditions, which comprises an organizational structure management module, a duty authority configuration module, an alarm access module, an authority matching module, an alarm distribution module and an alarm tracing and statistics module. Wherein the authority matching module realizes the dynamic matching of responsible persons through organization chain positioning, authority retrieval, boundary rules, space-time filtering and priority ranking; the alarm distribution module supports a failure retry and recursion mechanism; and the alarm tracing and statistics module records the alarm event and generates a visual report. The system can uniformly manage five-level organizational structures of groups, construction units, projects, sections and work areas, realizes cross-system alarm access, dynamic permission matching and full-link closed-loop management, solves the problems of permission dispersion, response delay and insufficient supervision level coverage in existing railway engineering construction, and improves early warning linkage efficiency and safety management precision.

The invention relates to the technical field of machining, and discloses an intelligent cutter handle capable of monitoring cutter wear in real time and triggering replacement reminding, which comprises a cutter handle main body, a sensor module, a control module, a wireless transmission module, a power supply module and an upper computer system in communication connection with the wireless transmission module, a connecting structure matched with a mainstream machine tool connector is arranged at one end of the cutter handle body, and a clamping part for clamping a cutting tool is arranged at the other end of the cutter handle body. According to the intelligent cutter handle capable of monitoring cutter abrasion in real time and triggering reminding of cutter replacement, the vibration sensor, the cutting force sensor, the torque sensor, the temperature sensor and the acoustic emission sensor are integrated in the cutter handle body, and the cutter abrasion state is accurately judged in combination with a trained and tested machine learning model based on historical abrasion data of the cutter; a plurality of wear judgment threshold sets are stored in a convolutional neural network model analysis algorithm unit in a machine learning model, and each threshold set corresponds to different cutter materials, workpiece materials and cutting parameter combinations respectively; if yes, calling a threshold set matched with the current machining condition information for judgment, and outputting a corresponding result by the model, so that real-time and automatic judgment on the tool wear state is realized, manual experience analysis is not needed, the accuracy and timeliness of judgment are remarkably improved, and the working efficiency is improved. And reduction of machining quality or cutter breakage caused by misjudgment of sudden wear as normal wear or delayed response is effectively avoided.

The invention relates to the technical field of logistics storage scheduling, and discloses an intelligent logistics scheduling system, which comprises a density prediction module for constructing a three-dimensional semantic density field, and predicting the density of unknown goods through field intensity superposition; the cargo loading module takes the internal space of the vehicle as a fluid container, simulates the cargo into fluids with different viscosities according to the density, and dynamically obtains a vehicle loading scheme through a fluid mechanics model; the layout optimization module is used for virtualizing goods into an object with an electromagnetic pole, realizing optimization of a vehicle loading scheme through an electromagnetic field model in which like poles repel to avoid collision and unlike poles attract to closely fit, and calculating to obtain a loading rate; and the route selection module is used for selecting a vehicle type and a route through simulating a ripple diffusion path based on the loading rate by taking the vehicle as a ripple center and the cost fluctuation as ripple energy. The problems of low stowage rate, uncontrollable cost, response lag, potential safety hazards and the like in traditional logistics scheduling are solved through fluid mechanics layered filling, electromagnetic topology collision avoidance fitting, semantic field density prediction and ripple cost diffusion, and an interdisciplinary collaborative full-link intelligent scheduling normal form is constructed.

Methods, systems, and apparatus for conducting wireless communication are described. The system can support delayed responses to paging messages to improve paging throughput. A user equipment (UE) can receive, at a first layer of the UE and from a second layer of the UE, a first signal indicating a delay associated with a paging response. The UE can operate in a first state based on the first signal. The first state can be associated with a pending paging response and the reset of one or more operating parameters of the UE to support the delay associated with the paging response. The UE can transition from the first state to a second state associated with the initiation of the paging response after the delay, based on the satisfaction of one or more paging response conditions. The UE can respond to a paging request after transitioning to the second state.

This invention discloses a collaborative frequency regulation system for regional energy integration, belonging to the field of power system automation technology. Addressing the technical problems of "resource isolation, delayed response, and insufficient accuracy" in traditional power system frequency regulation, this invention provides a collaborative frequency regulation system for regional energy integration, specifically including a carbon core control module, a multi-energy interface module, a signal processing module, a human-machine interaction module, and an auxiliary support module. Through "multi-module integration + hierarchical collaborative control," it achieves unified scheduling of thermal power, wind power, photovoltaic power, energy storage, and adjustable loads. This breaks down the traditional "information silos" and isolated scheduling of various energy sources.

The invention relates to the technical field of electric power system operation and maintenance management, solves the problems of extensive detection, response delay, blind scheduling and deep data in traditional electric leakage operation and maintenance, and provides an electric power system electric leakage detection-based operation and maintenance management system comprising a front-end application module comprising a web platform management end and an APP end; the data acquisition module is used for acquiring leakage current and leakage point geographic positioning information of the power system through a leakage current sensor, a voltage sensor and a positioning module; the data transmission module is used for encrypting and transmitting the data of the acquisition module to a web platform management end; the web platform management end comprises a real-time monitoring unit, an electric leakage detection and analysis unit, a fault early warning and alarm unit, a data analysis and decision-making unit, an operation and maintenance management unit and a historical fault database. The method has the advantages that the operation and maintenance efficiency is improved (the fault response time is shortened), and the operation and maintenance cost is reduced.

The invention provides an abnormal operation identification method and device based on an RBAC system. The method comprises the following steps: S1, implanting section logic in a service calling layer of an RBAC system based on AOP to intercept operation requests of all users on a service calling layer method; s2, before the target method is executed, adding a hook identifier to the method related to the high-risk permission by the aspect logic; when the hook identifier is identified, triggering a deep auditing process, and extracting metadata of the user through section logic; s3, asynchronously reporting the extracted metadata of the user to a behavior record table through a pre-notification in the aspect logic; and S4, defining an alarm rule table, regularly scanning the alarm rule table based on the metadata of the user recorded in the behavior record table, and if an alarm is triggered, sending multi-channel alarm information to an alarm receiver through a message factory. Through real-time behavior analysis, high-risk permission automatic revocation and role behavior dynamic detection, the problems of abnormal recognition lagging and response delay in a traditional system are solved.

This invention discloses a port communication system and method for a power router, relating to the field of power communication technology. The system includes a data acquisition module, an intelligent communication decision engine, a communication execution module, and a storage module. This invention utilizes an intelligent communication decision engine that integrates artificial intelligence technology to perform deep analysis and learning of data, predicting system operation trends and communication needs. This solves the problem that traditional fixed-rule decision-making cannot adapt to dynamic system changes, achieving accurate prediction of communication needs. When an anomaly is detected, the intelligent communication decision engine automatically generates the optimal communication decision scheme, which is then executed by the communication execution module. This addresses the problems of delayed response and unreasonable allocation of communication resources in existing technologies when dealing with faults or anomalies, enabling rapid handling of abnormal situations. Ultimately, this improves the intelligence and adaptability of the power router port communication system, ensures timely transmission and processing of critical data, and improves the operating efficiency of the power system.

The invention relates to the technical field of intelligent transaction terminals, and discloses a multifunctional intelligent cash register and a control method thereof, and the method comprises the steps: enabling a control system to be powered on, and executing the hardware self-inspection and multi-mode identity verification; starting a dual-channel data acquisition and interception mechanism, receiving bar code data from a scanning module and payment medium data from an NFC (near field communication) module and a card swiping module in parallel, and executing de-jitter and formatting preprocessing; processing the data based on an arbitration algorithm to generate a transaction instruction queue; executing double-screen different display interaction control, and calculating a synchronous refresh rate of double-screen display; and in response to the settlement request, executing bill printing, outputting a prompt sound effect, and dynamically adjusting the printing pulse width to complete a transaction closed loop. According to the intelligent cash register control method, the limitation that a traditional cash register terminal is insufficient in multi-source concurrent input signal processing capacity and lags in response in a business peak transaction scene can be broken through, and the intelligent cash register control method which has high real-time interaction capacity and can achieve hardware closed-loop control is achieved.

The invention discloses a multi-agent response aided decision-making method for process alarm under an abnormal working condition, and relates to the technical field of industrial automation and artificial intelligence, and the method comprises the steps: collecting historical abnormal process data, an abnormal process type label and an actual processing decision-making scheme in a chemical production process, and based on the historical abnormal process data, the abnormal process type label and the actual processing decision-making scheme, obtaining an abnormal process type label; the method comprises the following steps: pre-training a first agent and a second agent by using a multi-strategy information acquisition optimization algorithm, then identifying real-time process data and determining process alarm information through the first agent, extracting real-time features by using the second agent and matching the real-time features with historical sample features when an alarm occurs, finding similar historical samples, and finally obtaining process alarm information; through cooperative work of the double intelligent agents and combination of a specific multi-strategy information acquisition optimization algorithm, the accuracy of anomaly recognition and the reliability of decision recommendation are improved, and the problems that response lags behind under the abnormal working condition of the chemical process, and decision depends on artificial experience are effectively solved.

Vehicle diagnostic procedure, in particular for detecting a delayed response behavior of an internal combustion engine (8), wherein the procedure comprises the steps: Measuring at least one input parameter (EGR, n) mot , q inj , POS soll ) and at least one output parameter (p 2,mess ) with at least one measuring device (10, 12, 14, 16, 18), wherein the parameters (EGR, n mot , q inj , POS soll , P 2,mess ) in particular parameters of an internal combustion engine (8) are; Calculate at least one expected value (P) 2,Observ ) for at least one output parameter (p 2,mess ) from at least one input parameter (EGR, n mot , q inj , POS soll ) by an expected value calculation device (3); Calculating a measure of agreement (G) between the at least one measured output parameter (p) 2,mess) and the output parameter for this (P 2,mess ) calculated expected value (P 2,Observ ) by a conformity measurement calculation device (4a); Comparing the measure of agreement (G) with a first limit value (G1) stored in a storage device (4b) by a comparison device (4c); and Output an error message by an output device (5) if the degree of conformity (G) is less than the stored first limit value (G1).

This invention discloses an eccentric collision sensing mechanism, belonging to the field of window cleaning machine technology. It includes a first fixed plate and a second fixed plate fixedly mounted on the base of the window cleaning machine, and a movable plate that can rotate eccentrically relative to the axis of the first fixed plate. When the annular window cleaning plate on the movable plate touches the window frame or an obstacle, the obstacle pushes the movable plate to rotate eccentrically relative to the first and second fixed plates. The movable plate then pushes a collision sensing switch, triggering the control system to issue a stop or turn command based on the signal output by the collision sensing switch, thus completing the identification and avoidance of the window frame or obstacle. This invention, through mechanical transmission and photoelectric feedback mechanisms, can accurately sense the collision between the window cleaning machine and the window frame or obstacle, overcoming the inherent defects of existing electronic sensing solutions such as slippage, false judgment, delayed response, and environmental sensitivity. It significantly improves the reaction speed and accuracy of collision sensing, reducing the possibility of false alarms or missed alarms.

This invention discloses an intelligent early warning method for the survival environment of railway tunnels based on STA-DGNN and MSF-4DDWT models, belonging to the field of railway tunnel safety monitoring technology. The method acquires tunnel environmental parameters, train congestion status, personnel density, and passage status data through a multi-source data acquisition subsystem; uses the STA-DGNN model to predict the environmental parameter change curve for the next 30 minutes; calculates a dynamic early warning threshold based on the MSF-4DDWT model; classifies risk levels according to the early warning lead time and executes graded responses; and continuously improves model parameters through a closed-loop optimization mechanism. This invention solves the problems of existing technologies such as lack of spatiotemporal correlation in environmental parameter prediction under tunnel congestion scenarios, rigid early warning thresholds, and delayed response, realizing a complete technical chain from data acquisition to risk management, and significantly improving the accuracy and anticipation of risk early warning in tunnel congestion scenarios.

This system provides support to help users without specialized knowledge of nurse call system paging devices recover from malfunctions. [Solution] When the maintenance terminal 2 receives an abnormality detection notification for any of the call devices 91 from the main unit 8 of the nurse call system 7, it displays the device ID of the call device 91 and the details of the abnormality (no response, delayed response, error message, etc.) included in the abnormality detection notification, and prompts the maintenance manager to select a recovery procedure for the call device in which the abnormality was detected from among several recovery procedures that are stored in advance. The maintenance terminal 2 then transmits the selected recovery procedure, along with the abnormality detection notification, to the support terminal 3 installed in the waiting area (nurse center, etc.) of the users (doctors, nurses, caregivers, etc.) who use the nurse call system 7. In response, the support terminal 3 displays the device ID of the call device 91 and the details of the abnormality included in the abnormality detection notification, along with the recovery procedure.

This invention relates to the field of aviation data processing technology, and in particular to a cache update method, storage medium, and device based on flight completeness. The method includes: responding to cache update trigger conditions, determining all flights on the target route and their corresponding airline interfaces; concurrently sending data requests and initiating a two-stage waiting period, with a first waiting period receiving a fast response and a second waiting period receiving a delayed response; verifying the returned data based on flight schedules and inventory status databases, and including the data in a cache candidate set; during the second waiting period, when receiving queries from high-priority users, bypassing the anti-penetration mechanism to retry interfaces that have not returned data and verifying them; after the waiting period ends, merging the candidate set data and writing it into the main cache to form the final flight list. This invention improves cache completeness and user query credibility by using a phased waiting period to accommodate interface response differences, a targeted retry mechanism to improve the response speed of urgent requests, and dual verification to ensure data accuracy.

This invention relates to the field of power equipment monitoring and adaptive control technology, and discloses an adaptive monitoring method and system for integrated power cabinets. The method includes collecting multimodal sensor data and cleaning and calibrating it to obtain environmental time-series data; analyzing state parameters to identify abnormal fluctuations and overlapping sections; analyzing the risk propagation range to classify risk levels; matching a rule base to generate a control scheme and correcting it to obtain adaptive parameters; encapsulating instruction transmission verification; archiving logs and evaluating the operation recovery effect; and determining the adaptive stable state. This method achieves accurate perception of power cabinet operating parameters, rapid identification of abnormal operating conditions, and adaptive control, solving the problems of fixed thresholds, delayed response, and poor control adaptability in traditional monitoring, thus improving the operational stability and safety assurance capabilities of integrated power cabinets.

The present application relates to the technical field of medical monitoring, and provides a medical monitoring interface synchronization interaction method and system based on a mobile terminal, which monitors patient vital sign data and user interaction operation data in real time, and determines whether to start a preset resource scheduling strategy according to the states of the two. The strategy synchronously improves the running priority of a system thread related to user interaction processing, and reduces the display resource consumption of non-critical monitoring data. Thus, the problem that when patient signs fluctuate sharply, system resources are preferentially allocated to data processing and rendering, resulting in delayed response of user interaction operation and further causing operation errors and safety hazards is solved.

The application provides a motor torque prediction method, device, equipment and vehicle, which are used for solving the problem of battery pack overcharge and overdischarge caused by the delayed response of the vehicle controller due to the CAN network transmission delay. The motor torque prediction method comprises the following steps: sending a request torque to a motor controller; acquiring an actual motor speed output by the motor controller after processing the request torque; predicting an initial estimated motor torque corresponding to each of a plurality of preset delays according to the actual motor speed and the request torque; the specific time length of the plurality of preset delays is different; and selecting an optimal value from the plurality of initial estimated motor torques as an estimated value of the current execution torque of the motor according to the actual motor speed and the plurality of initial estimated motor torques.

The invention discloses a comfort AEB control method and system based on end-to-end deep learning, and relates to the technical field of automatic driving. The method comprises the following steps: acquiring current environment sensing information and current driving intention sensing information; inputting the current environmental perception information into a pre-trained AEB model, and outputting a predicted braking decision; inputting the current driving intention perception information into a pre-trained intelligent driving model, and outputting a predicted planning track; performing consistency verification on the predicted braking decision by using the predicted planning track to obtain a verified braking decision; and on the basis of the verified braking decision, a corresponding early warning and braking execution instruction is generated in combination with the current vehicle braking system type. By adopting the method and the device, the problems of rough braking decision, weak environment robustness, response delay and the like in related technologies can be improved, hierarchical control from early warning to emergency braking is realized, and the driving and riding comfort of the AEB system in the braking process is improved.

The invention relates to the technical field of engine control methods, in particular to a garden machine galloping flameout protection method and system, an intelligent terminal and a storage medium, and the method comprises the steps that the current rotating speed of an engine is monitored in real time; the current rotating speed is compared with a preset flameout protection threshold value, and the flameout protection threshold value is set to be higher than the highest set working rotating speed which can be maintained by the engine electronic speed regulating system in the normal working state; when the current rotating speed exceeds the flameout protection threshold value, it is judged that the engine enters a rotating speed out-of-control state, and an emergency protection instruction is generated immediately; and executing the emergency protection instruction, controlling the engine to execute flameout operation, and triggering an instrument to output overspeed alarm information. The overspeed protection method has the effect of improving the problems that an existing overspeed protection method is delayed in response and weak in rotating speed relevance.

The invention provides an emergency control method of a vacuum system for titanium sponge production, and relates to the technical field of non-ferrous metal metallurgical equipment.The emergency control method includes the steps that a vacuum abnormity judgment formula is established, and the influence of the vacuum pressure instantaneous change rate and the absolute value of the deviation between the current vacuum pressure and the target vacuum pressure on a vacuum abnormity index is amplified in an exponential mode; when abnormity occurs, the vacuum abnormal index can rapidly reach the threshold value, so that the sensitivity is improved, if the vacuum abnormal index is larger than the threshold value or the vacuum pump trips, the pneumatic stop valve and the electric baffle valve are controlled to be locked, the problem that existing emergency control response is delayed is solved, and the method is suitable for titanium sponge production.

The invention discloses an early warning method, device and equipment for construction operation machinery and a medium, and belongs to the field of safety early warning of the construction operation machinery. The method comprises the following steps: acquiring a holographic microwave image of a construction operation machine and an operation area, a time-varying characteristic parameter variation, a vibration frequency, a vibration diffusion distance and humidity of the construction operation machine through a holographic microwave device; identifying a mechanical category and a motion trend based on the holographic microwave image; when a preset condition is met, a correction coefficient is calculated layer by layer by integrating multiple parameters; and finally generating and issuing early warning information according to the relation between the correction coefficient and the humidity. Therefore, the problems of low early warning precision, response lag and poor adaptive capacity in the prior art can be solved by implementing the early warning method and the early warning device.

This application relates to the field of communication networking technology, and discloses a method, apparatus, device, and storage medium for address registration of multiple battery modules. The method is applied to a communication system including a master battery module and at least two slave battery modules. The master battery module and each of the slave battery modules are connected via a communication bus, and the slave battery modules are connected in parallel via the communication bus. The method includes: receiving an address registration instruction sent by the master battery module during the address discovery process; responding to the address registration instruction and starting a delayed response timer based on a random time; obtaining a registration opportunity in the current address discovery process when no response signal outside itself is detected during the delayed response timer, and generating a registration response signal containing its own address information, so that the master can directly obtain the unique address information of each slave without the need for additional hardware devices to assist in address identification, thereby reducing the cost of RS485 communication networking of multiple battery modules.

The invention discloses a cache data integrity verification method oriented to an Internet of Vehicles VNDN architecture, relates to the technical field of Internet of Vehicles security, and solves the problems that an existing cache node lacks a verification mechanism, wrong data is found by a consumer vehicle after being spread, and then response delay, network resource waste and the like are caused. The producer vehicle generates a data packet and then returns the data packet along a reverse path, and after receiving the data packet, the cache node initiates challenge to the local cache, verifies the data integrity, and performs verification by using bilinear mapping. If the verification is consistent, the data is not tampered and can be forwarded continuously; if verification fails, it is indicated that the data may be tampered, and the cache node will request the producer vehicle to resend the data to update the cache. According to the method, problems can be found in time before wrong data is propagated to consumer vehicles, and network resource waste and data response delay are remarkably reduced.

The invention discloses a sliding operation response method and device, a medium and a computer program product, and relates to the technical field of communication, and the sliding operation response method comprises the steps that in response to a sliding operation, a touch event corresponding to the sliding operation is generated, and the touch event comprises a sliding event; under the condition that a preset number of sliding events are detected, the preset number of sliding events is processed, and the preset number is smaller than the maximum value of the sliding events contained in a single vertical synchronization period and larger than or equal to the preset minimum processing number of the sliding events. The problem of sliding operation response delay is solved.

This utility model relates to the field of lock technology, specifically a U-shaped lock that overcomes delayed response, comprising: the device uses a left and right latch, and the rotating shaft pushes the left and right latches by the same stroke. When dimension A is smaller than dimension B, the left latch disengages from the first locking interface first without making a popping sound, while the right latch is still locked inside the second locking interface; when the rotating shaft continues to push the right latch out of the second locking interface, the lock beam makes an unlocking sound as normal.

The invention discloses a cabinet door state safety management and control method and system based on the Internet of Things and data interaction, and relates to the technical field of industrial Internet of Things. The method comprises the following steps: collecting door state, environment and identity authentication data through multi-sensor fusion and carrying out preprocessing; after being encrypted, the data are safely transmitted through intelligent routing selection; the received data are verified and analyzed, and intelligent decision making and global state synchronization are carried out based on a multi-factor permission model; and accurately controlling the door lock according to the decision instruction, updating state indication, executing graded alarm, and collecting feedback data to optimize the system. The system comprises a state sensing module, a data transmission module, a central processing platform and an intelligent control module. According to the invention, the closed-loop control of the cabinet door state from physical perception to intelligent execution is realized, the problems of untimely state synchronization, extensive authority management and response lag are solved, and the safety, real-time performance and reliability of cabinet management are improved.

The application relates to the technical field of network building, in particular to a self-constructed network building method and system. The method comprises the following steps: obtaining a network building requirement; analyzing the network building requirement to determine a network use scenario and a network use scale; determining time attribute characteristics and event attribute characteristics according to the network use scenario and the network use scale; determining the response priority of a front end and the interface concurrent logic of an application layer according to the event attribute characteristics; and determining the triggering time of the response priority of the front end and the interface concurrent logic of the application layer according to the time attribute characteristics. The application environment and scale index of network deployment are determined, demand ambiguity is eliminated, and optimization for specific scenarios and scales is ensured. The content loading sequence and the interface calling mode are dynamically adjusted, so that the response efficiency is improved and the system pressure is reduced. The configuration is dynamically enabled before or during a network traffic peak, so that the resource optimization is timely put into effect, and invalid or delayed response is avoided.