82 results about "Delayed response" patented technology

The invention discloses a digital twinning-based thermal heat supply system defense cooperative protection method and system, particularly relates to the technical field of industrial control system safety, and is used for solving the problems of hidden attack missing detection and response delay caused by splitting of energy flow and data flow in an existing protection mechanism. Physical-network behavior collaborative verification is realized by constructing a digital twinborn model, and precise protection is realized by quantifying coupling failure characteristics of energy flow and instruction flow. The method specifically comprises the following steps: collecting production data, industrial control logs and network traffic; constructing a digital twin model to simulate expected behaviors of equipment, communication and physical states; comparing and detecting abnormal data in real time; extracting a thermodynamic potential gradient characteristic quantity and a path integral characteristic quantity from the abnormal data; calculating a covariant difference value of the two characteristic quantities, and judging an external attack when the covariant difference value exceeds a threshold value; when an attack is triggered, a micro-isolation gateway is deployed, dynamic access control is implemented based on an equipment fingerprint, a user behavior sequence and an environment fingerprint, and an attack chain is blocked.

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 discloses a test task progress regulation and control method and device, electronic equipment and a storage medium, and relates to the technical field of electric digital data processing, and the method comprises the steps: tracking the progress of a test task of each test team to determine the test progress of the test task, and generating a corresponding processing scheme according to the test progress, according to the method and the device, the technical problems that in the related technology, the collaborative management efficiency of different test teams is low, the progress data statistical efficiency is low, risks need to be manually identified, response lag is caused, then the timeliness of an upgrade decision is influenced, and responsibility division is not clear are solved; progress evaluation is carried out by automatically collecting test data, the data statistics efficiency is improved, the test progress is automatically recognized to carry out risk early warning, a progress decision is generated within the aging range, progress responsibility is clarified, and test task tracking and progress regulation and control are achieved.

The invention discloses a machine room fault positioning dynamic environment monitoring system, relates to the technical field of machine room monitoring, and solves the problems of inaccurate power supply fault source positioning and response lag of a traditional system. According to the technical scheme, the method comprises the steps that a current sensor set is arranged at the input end of a cabinet-level power distribution unit in a machine room, current values are monitored at the interval of 15-30 seconds, a power supply path database stores electrical connection topology and coordinates of a mains supply input cabinet, a UPS output cabinet, an array cabinet and the cabinet-level power distribution unit, and a central processing unit compares the current values with a preset threshold value; and when the current of a certain unit continuously exceeds a threshold value for 20-60 seconds, a primary alarm signal is generated, an upstream equipment sequence column head cabinet shunt, a UPS output cabinet circuit breaker and a mains supply input cabinet switch corresponding to the fault unit are extracted, and an alarm signal and sequence information are output. The system is used for machine room power supply fault accurate positioning and rapid processing, and the maintenance efficiency and the system reliability are improved.

The invention discloses a self-adaptive climbing track system in a cable-stayed bridge tower and a fire extinguishing robot, and belongs to the technical field of bridge fire fighting. The self-adaptive climbing rail system in the cable-stayed bridge tower comprises a rail system composed of standardized aluminum alloy modules. The invention discloses a four-wheel independently-driven robot. A central control system; and the rapid supply stations are arranged along the track system at intervals. The problems of fire extinguishing blind areas, poor equipment adaptability and response delay in a high-rise closed space of a cable-stayed bridge tower are solved, and the purpose of all-weather three-dimensional active protection is achieved.

The invention provides a relay protection anti-misoperation system and an operation method thereof, and belongs to the technical field of relay protection, and the system comprises a dynamic knowledge graph engine module, an edge collaborative anti-misoperation node module, a self-learning optimization module, an intelligent alarm execution module and an anti-misoperation interceptor. The method comprises the steps of constructing a dynamic knowledge graph, generating a cooperative anti-error instruction, dynamically optimizing an anti-error rule and performing real-time man-machine cooperative anti-error. Power grid topology, equipment state and environment data are fused in real time through the dynamic knowledge graph engine, intelligent decision making of multi-source heterogeneous data is achieved, and the problem of response lag of a single data source is solved; a cross-device anti-error instruction is generated based on edge collaborative node and anti-error bus linkage relay protection, power distribution automation and a new energy system, and system interaction leakage is eliminated; and by utilizing reinforcement learning agency and digital twinborn simulation, an anti-error rule base is optimized on line according to operation records and fault reports, and the change of a power grid operation mode is self-adapted.

The invention discloses an intelligent temperature control terminal strip system, and the system comprises a temperature sensing network which comprises a plurality of distributed temperature sensors; a terminal strip structure; a control system; the fault self-healing unit comprises a flexible brazing bridge between the terminal row busbar and the sensing layer, and a state quantification monitoring module which is used for triggering fusing protection and carrying out on-line thermal remelting repair during local over-temperature; and the communication bus adopts a CAN-FD and LoRa dual-bus design and is used for connecting the temperature sensing network, the control system and the fault self-healing unit so as to realize a plug-and-play function. The terminal strip temperature control system has the following beneficial effects that the problems of low monitoring precision, response lag, passive heat dissipation, poor reliability and the like in a traditional terminal strip temperature control system are solved by deeply fusing various advanced algorithms.

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.

The invention relates to the technical field of computers, and discloses a multi-control linkage delay response overtime task discarding optimization method which comprises the following steps: S1, setting a corresponding latest operation index for each basic control, and updating an index value MaxActionIndex of the operation index when the basic control is operated each time; s2, operation tasks of the basic control are stored in a delay queue, and each task comprises operation content and a current index value; s3, setting execution delay time of the task; s4, when the CPU is idle, obtaining the expired task M from the delay queue, and extracting an index value ActionIndexM of the expired task M; and S5, comparing and judging whether the task is discarded or not based on the Action Index M and the maximum MaxAction Index in the current delay queue. By adopting the method and the device, the concurrent quantity of the server and the pressure of the network bandwidth can be reduced, the performance of the client and the server is optimized, and the use fluency of a user is improved.

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.

The present application relates to the field of computer technology and discloses a method for optimizing the discarding of timeout tasks with delayed responses to multiple controls, including: S1-setting the corresponding latest operation index for each basic control, and updating the index value MaxActionIndex of the operation index each time the basic control is operated; S2-storing the operation tasks of the basic controls into a delay queue, where each task includes the operation content and the current index value; S3-setting the execution delay time of the task; S4-when the CPU is idle, obtaining the expired task M from the delay queue and extracting its index value ActionIndexM; S5-determining whether to discard the task based on the comparison between ActionIndexM and the largest MaxActionIndex in the current delay queue. The use of this application can reduce the pressure on the server's concurrency and network bandwidth, optimize the performance of the client and server, and improve the user's smoothness of use.

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 discloses a repeater monitoring system and a repeater monitoring method. Relates to the field of equipment detection, and the system comprises a monitoring system which is arranged in a repeater, is in communication connection with detection equipment, and is used for controlling the detection equipment to collect the operation data of the repeater and sending the operation data to a controller when the repeater is in an operation state, and the state of the repeater comprises an operation state and a dormant state; and the controller is in communication connection with the monitoring system and is used for detecting the operation data by using a target detection method under the condition of receiving the operation data, obtaining a detection result and generating early warning information according to the detection result, the target detection method at least comprises one of signal strength detection, signal flatness detection, out-of-band rejection detection, noise level detection and bit error rate detection. According to the method and the device, the technical problems of low detection efficiency and response lag when the repeater is detected in the prior art are solved.

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 embodiments of the present application provide a time synchronization method, device, equipment, vehicle and medium based on the Internet of Vehicles, which relates to the field of Internet of Vehicles technology. The method is applied to a target vehicle in a vehicle cluster, which includes multiple vehicles. The method includes: after building a vehicle cluster and determining the target vehicle in the vehicle cluster, sending time request information to other vehicles in the vehicle cluster, and receiving local timestamps fed back by other vehicles; determining a time deviation value based on the current timestamp of the target vehicle and the local timestamps of each other vehicle; if it is determined that the time deviation value is greater than a preset deviation threshold, obtaining a global time error, and performing time synchronization processing on each vehicle in the vehicle cluster based on the global time error. The method is used to improve the scenario applicability of time synchronization, effectively reduce potential misjudgments and delayed responses due to time asynchrony, and improve the overall traffic management level and user experience.

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 provides an event processing method and device, electronic equipment, a computer readable storage medium and a computer program product, and the method comprises the steps: responding to an operation event triggered in a human-computer interaction interface, obtaining at least one response event used for responding to the operation event, determining the delay response time of each response event, and determining the delay response time of each response event; the delayed response time is the time from the trigger time of the operation event to the time when the corresponding response event is executed, and for each response event, when it is determined that the corresponding execution time arrives based on the delayed response time of the response event, the response event is executed. Through the method and the device, resources occupied in unit time for executing the response event can be reduced.

The invention relates to the technical field of mine filling conveying and underground safety protection, in particular to a self-adaptive pressure slow-release system and method suitable for mine high-fall filling. The method comprises the steps that after measurement data of the mine high-fall filling main pipeline are collected and action sections are divided, section-level target energy absorption is calculated; the impact frequency band characteristics of the action section are matched with the dynamic characteristics of the slow-release module, and mechanical parameters of the slow-release module are obtained; and on the basis of mechanical parameters of the slow release module, a throttling opening piecewise function is constructed, the actual energy absorption capacity of the slow release module is calculated, the total energy absorption capacity is obtained, and pressure slow release is achieved by combining section-level target energy absorption and parameters of the slow release module through closed-loop adjustment. The problems that a traditional pressure slow release method lacks accurate recognition and segmented control over the characteristics of pressure waves along the way, the energy absorption efficiency is low, and false triggering or delayed response is likely to happen are solved; hysteresis control is lacked, so that secondary fluctuation of flow and pressure is easily caused; a closed-loop verification mechanism is lacked, and the problem of insufficient configuration or excessive configuration exists.

The invention relates to a loader driving stability analysis method and system, and the method comprises four key links: real-time monitoring and critical threshold calculation, virtual potential field construction and threshold correction, unstable state determination and active intervention strategy, and the links form closed-loop control. The method effectively overcomes the defects of response lag and poor adaptability of a traditional method, and is characterized in that a critical dip angle threshold is dynamically adjusted, the critical dip angle threshold is corrected in real time through a virtual potential field, and key factors such as bucket load and wheel slippage are included into a stability evaluation system to correct the critical dip angle threshold through calculation of a mass potential barrier and a slippage vector. The stability limit of the loader under different road conditions and in different postures can be reflected more accurately, the hysteresis problem of a traditional fixed threshold value method is avoided, and finally, the bucket posture adjustment serves as a priority stability compensation means and is combined with speed adjustment, rapid response can be achieved at the initial stage of vehicle body instability, and the rollover risk is reduced.

The invention belongs to the technical field of fire fighting equipment, and relates to a liquid crystal elastomer fiber-based temperature-sensitive trigger type fire fighting device, which comprises a support, a first movable arm, an LCEF, a deflector rod, a second movable arm, a fixed arm, a reset component, a firing pin and a fire extinguishing device, the first movable arm is arranged on the support, the left end is rotatably connected with the support, the right end is connected with the lower end of the LCEF, the upper end of the LCEF is connected with the support, and the lower end of the LCEF is connected with the fixed arm; the left end of the second movable arm is rotationally connected to the fixed arm, the right end of the second movable arm extends downwards to form a second hook body and is in hooked connection with the first hook body, the LCEF is heated and contracted to drive the first movable arm to rotate, when the angle exceeds a third threshold value, the driving lever is driven to rotate, and the two hook bodies are disconnected; the reset component drives the second movable arm to reset, and the firing pin impacts the fire extinguishing device switch. According to the invention, the LCEF is applied to the fire-fighting device, so that the problems of separation of detection and execution and response lag in a traditional fire-fighting system are solved.

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.