49results about How to "Improve emergency response capabilities" patented technology

The invention relates to the technical field of intelligent fire rescue, and discloses a small self-sensing intelligent special vehicle and a control method.The small self-sensing intelligent special vehicle is characterized in that a plurality of supporting foot devices are connected to the outer side face of a lower bottom plate, a gearbox is connected to the terminal of the top of the lower bottom plate, plunger pumps are connected to the output ends of the gearbox, and the number of the plunger pumps corresponds to that of the supporting foot devices; the top of the upper top plate is connected with a recognition device, and a spraying device corresponding to the fire extinguishing agent storage box is arranged at the front end of the top of the upper top plate; one side of the top end of the middle plate is connected with a fire extinguishing agent storage box, and the middle end of the top face of the middle plate is connected with a steering assembly. According to the device, the change of a fire source can be recognized in time in a complex environment, and accurate and effective fire extinguishing measures are taken. According to the device, a brand new thought and method are brought to forest fire fighting, the fire source checking and extinguishing efficiency is improved, secondary reburning of the fire is avoided, and the overall safety and emergency response capacity of fire fighting operation are improved.

The application provides a kind of campus security risk prevention and control cloud service platform, it is related to cloud platform technical field, including: data processing and transmission module, for based on cloud platform architecture data storage, processing and secure transmission, and support the automatic reconnection and concurrent control of data transmission;Safety assurance module, connect data processing and transmission module, for the digital management of the civil air defense, physical protection and technical support information of campus;Security risk prevention and control module, connect data processing and transmission module and safety assurance module, for the information processing and linkage of campus safety management, safety education and safety emergency process;Joint defense and control module, connect security risk prevention and control module, for based on the processing result of security risk prevention and control module, realize the data linkage and emergency response command between multi-level education management department and school. By constructing the campus security risk prevention and control cloud service platform, the intelligentization and collaboration level of campus safety management is significantly improved.

The invention discloses a distributed multi-node remote sensing satellite multi-mode integrated scheduling method, and belongs to the field of remote sensing satellite ground task management and control. The method comprises the following steps: a main center performs overall management on various remote sensing satellites of each node, performs demand preprocessing, multi-type satellite joint task planning and proper scheduling mode decision aiming at various observation demands, and performs multi-type satellite node task integrated scheduling according to different scheduling modes; and sending the scheduling task order to each corresponding satellite node to perform observation task planning and satellite control implementation, collecting task order states to perform demand state feedback and tracking closed-loop management, and performing iterative scheduling on non-closed-loop demands. According to the method, joint application of multi-type satellite node resources, advantage complementation and sharing service, online scheduling and rapid task implementation are realized, the use efficiency of multi-type remote sensing resources is greatly improved, and the demand timeliness and the observation effect are improved.

The utility model relates to the field of tunnel construction emergency, and discloses a tunnel construction emergency early warning system. According to the invention, through integration of an informatization technology and a mechanical device, the emergency response capability of a construction scene is significantly improved. According to the system, a multi-module linkage mechanism is adopted, the abnormal state in the hole can be sensed in real time, early warning can be triggered synchronously, and the problems of delay and information transmission errors existing in traditional manual early warning are effectively solved. When a sudden dangerous case occurs, the wireless communication and intelligent control module can quickly cover a hole opening, the interior of the hole and an adjacent tunnel with a signal, and it is ensured that an operator receives an evacuation instruction at the first time through multi-dimensional warning means such as sound and light, voice and traffic signals. Meanwhile, due to intervention of the fixing support and automatic equipment, the posture of the construction trolley can be stabilized, the safety risk of manual operation is avoided, and the probability of secondary disasters caused by instability of the equipment is reduced fundamentally.

This invention discloses a control system for an intelligent inspection robot for stormwater and sewage pipelines, comprising a microcontroller unit, a multi-sensor module, an image acquisition module, a communication module, and a power module. Through multi-sensor collaborative perception and intelligent decision-making mechanisms, it integrates multi-dimensional data such as images, distance, and environmental data, and employs adaptive path planning and obstacle avoidance algorithms, making it suitable for autonomous inspection tasks in complex pipeline environments. The image acquisition module integrates a high-definition camera and a WiFi module; the distance detection unit combines ultrasonic and infrared ranging sensors to achieve complementary ranging and improve detection accuracy; the environmental monitoring unit uses gas sensors to detect the concentration of toxic and flammable gases such as ammonia and sulfides in the pipeline in real time, and automatically triggers an early warning when the concentration exceeds the standard. This effectively solves the problems of existing pipeline robots, such as single sensor detection methods, poor environmental adaptability, and insufficient intelligence, improving inspection efficiency and system reliability, and reducing manual maintenance costs.

The invention relates to the technical field of medical instruments, in particular to a shoulder arthroscopy lateral position abduction traction frame which comprises a main frame, a traction rod and a traction rope, a sliding rail is vertically and fixedly installed on the main frame, a lifting block is vertically and slidably installed on the sliding rail, one end of the traction rope is fixedly connected with the lifting block through a traction assembly, and the other end of the traction assembly is fixedly connected with the traction rod. A water tank is fixedly installed on the main frame, a water outlet pipe is installed at the bottom end of the water tank, a water inlet pipe is installed at the upper end of the weight box, the water outlet pipe and the water inlet pipe are communicated through a connecting water pipe, and a water level window is formed in the side face of the weight box. And water level scales are arranged on the water level window. A medical worker can control the traction force on the arm by controlling the water level in the weight box, the situation that the traction force is too large or too small, and consequently the operation progress is affected is prevented, it is guaranteed that the operation effect is better, and the disease of a patient is thoroughly solved.

The application discloses a building cross-subsystem data sharing and dynamic permission allocation method based on Internet of Things, and relates to the technical field of building cross-subsystem data processing. Specifically, the analysis of the analysis timeliness and analysis processing capacity of building cross-subsystem data in the sharing process is carried out, the analysis result is used as a benchmark to quantize the adaptation of permission allocation, the analysis capacity is adapted to dynamic load and permission decision, the data quality and communication state are matched, the timeliness and resource utilization efficiency of permission allocation in the building scene are balanced, and therefore, the accuracy of the permission allocation result is improved.

A three-way valve body with an emergency sealing structure belongs to the technical field of three-way valve bodies and comprises a valve body, a sealing partition plate A and two sealing partition plates B are fixedly mounted in the valve body and divide an inner cavity of the valve body into an air inlet cavity and a mixing cavity, two through holes are formed in the upper surface of the sealing partition plate A in a penetrating mode, and the two through holes are communicated with the air inlet cavity and the mixing cavity. The two ports are used for communicating with the corresponding air inlet cavities correspondingly, electric execution power sources are installed in the air inlet cavities in a penetrating mode correspondingly, pressing plates are fixedly installed on the lower surfaces of the electric execution units correspondingly, sealing rings are fixedly installed on the lower surfaces of the pressing plates, and sealing bases are fixedly installed at the ports in the upper surface of the sealing partition plate A; a plurality of contact rings are integrally formed on the upper surface of the sealing base, a plurality of adaptive grooves are formed in the lower surface of the sealing ring, the conical contact rings and the adaptive grooves can be utilized to form multi-stage sealing of multiple contact surfaces, and compared with a traditional single sealing ring, the pressure resistance and the sealing performance of the sealing structure are greatly improved.

The application provides a kind of surface deformation measurement method and system based on different imaging mode SAR data, comprising: obtaining different imaging mode SAR image data;Register SAR image data, obtain the slant range difference of main and auxiliary images, resampled main image and registered auxiliary image;Obtain the main and auxiliary images after downsampling;Interferometric processing obtains surface deformation information and outputs.The application constructs the end-to-end processing framework of different imaging mode SAR data, effectively reduces the spatial baseline incoherence risk of different imaging mode SAR system, ensures the space-time correlation of different star data;Through the whole link innovation of orbit design, joint registration, spectrum matching and terrain residual suppression, the cross-platform data interference incoherence bottleneck is broken, the registration error problem caused by spectrum shift and resolution difference of different imaging mode data is solved, and a systematic solution is provided for high-frequency and high-precision surface deformation monitoring;Through terrain phase separation technology, terrain residual is effectively suppressed.

The application discloses a self-adaptive multi-modal data fusion bridge health monitoring method and system, generates a response sample database through establishment of a bridge nonlinear dynamics equation, pre-processes bridge sensor data and trains a deep learning model to extract damage features, and self-adaptively optimizes model parameters; based on model output, real-time and historical data are combined to perform bridge health evaluation, and a monitoring strategy is dynamically adjusted or early warning is triggered; an edge computing device is deployed to perform pre-processing and damage identification, and long-term trend analysis is realized in cooperation with a cloud platform; macro-structure damage and micro-crack data are fused through cross-scale feature extraction; an artificial intelligence algorithm is used to generate a bridge health evaluation result, a bridge maintenance and repair scheme and a decision-level early warning signal. The application combines nonlinear dynamics modeling, self-adaptive deep learning, edge cloud collaborative computing and cross-scale analysis, improves complex damage identification precision and monitoring intelligent level, and is suitable for large-scale traffic network bridge monitoring management.

The embodiment of the application provides a kind of route dependence evaluation method and device, comprising: according to the route information obtained, construct route prefix path dictionary;According to the domain name list information obtained, the comprehensive weight of each domain name in domain name list is calculated;According to the comprehensive weight of each domain name, the route prefix weight of the route prefix corresponding to each domain name is determined, and the route prefix and the corresponding route prefix weight are saved in route prefix weight dictionary;Based on route prefix path dictionary and route prefix weight dictionary, determine route dependence.This application can accurately evaluate the dependence degree of AS on key application service, effectively identify key AS, ensure the continuous availability of key application service, improve the resilience and emergency response capability of network, provide protection for network security management and application service.

This invention provides a campus hardware and software integrated management method and system supporting remote operation via mobile devices. It collects status parameters and business data from heterogeneous devices in the campus teaching, security, and logistics domains, synchronizes them with a hybrid clock, and pushes them to a campus digital twin virtual model incorporating geographic information, achieving full-domain resource virtual-real mapping and 3D visualization. A sliding time window combined with a business weight correction mechanism is used to determine adaptive warning thresholds and cross-device linkage strategies based on device operating time and business scenarios. Mobile devices access the system via an end-to-end encrypted link, enabling remote hierarchical handling based on dynamic hierarchical permissions. Hierarchical warnings are generated when a single parameter exceeds limits or multi-dimensional correlation anomalies are detected. If remote handling is ineffective, maintenance work orders are automatically generated and resources are intelligently scheduled, forming a closed-loop management process. This solution breaks down campus hardware and software data silos, enabling deep mobile control and intelligent operation and maintenance, significantly improving campus management efficiency and emergency response capabilities.

The present application belongs to the technical field of nuclear power plant physical simulation and simulation, and particularly relates to a nuclear power plant core instrument bay equipment simulation body and a simulation method. The simulation body comprises a driving unit, a group selector assembly and a path selector assembly, the driving unit is connected to the path selector assembly through the group selector assembly, the cable outlet end of the driving unit is connected to the group selector inlet end through a stainless steel pipe and a sleeve joint, and the group selector outlet end of the group selector assembly is connected to the path selector inlet end of the path selector assembly through a stainless steel pipe and a sleeve joint. The present application has the beneficial effect of improving training effect and efficiency, the RIC system simulation body can simulate the real operating environment of the nuclear power plant core, so that the trainees can learn and operate in a work scene close to the actual one, thereby more intuitively understanding the working principle and operation process of the core measurement system.

The application provides a rural power distribution substation low-voltage interconnection uninterrupted power transfer method, comprising the following steps: enabling an intelligent circuit breaker as a tie switch type according to a basic electrical connection, combining a built-in overload and short circuit protection module to realize a millisecond-level fast on-off response, determining a controllable switching state of a low-voltage interconnection line, and obtaining a response parameter of the controllable switching state; collecting the response parameter of the controllable switching state and monitoring data for access feasibility judgment, embedding a switching state mutual exclusion control program to form a two-stage linkage locking logic, judging a safety constraint condition of a power transfer operation, and obtaining a satisfaction symbol of the safety constraint condition; monitoring data changes of a current and voltage collection port in real time through a load power transfer path, dynamically adjusting an on-off state of the intelligent circuit breaker in combination with feedback information of a voltage frequency real-time monitoring unit, and obtaining a final execution result of target substation load uninterrupted power transfer.

This utility model proposes an AC / DC operation training circuit for urban rail transit, including an AC circuit 1 and an AC circuit 2 configured with an interlocked backup relationship, a busbar connected to AC circuit 1 and AC circuit 2, an emergency lighting circuit connected to the busbar, a first simulated fault switch, and a second simulated fault switch. AC circuit 1 includes an AC circuit 1 incoming switch, an AC circuit 1 contactor, and a first contactor; AC circuit 2 includes an AC circuit 2 incoming switch, an AC circuit 2 contactor, and a second contactor. The AC circuit 1 incoming switch is connected to the three phase lines of a three-phase power supply, and the AC circuit 1 contactor coil is connected between two of the three phase lines. The AC circuit 2 incoming switch is also connected to the three phase lines of a three-phase power supply, and the AC circuit 2 contactor coil and the first normally closed contact of the AC circuit 1 contactor are connected in series between two of the three phase lines. This utility model can meet the needs of efficient and safe training in various scenarios.

This invention discloses a collaborative optimization method, system, and medium for intelligent power grid emergency repair based on a closed-loop perception-decision-execution system. The method first collects meteorological data, resource allocation data, power grid data, and road traffic data from the disaster-stricken area, integrating them into multi-source perception data. This data is then input into a two-layer optimization model for calculation. The outer layer model combines the fault location, road conditions, and load levels to generate the optimal repair path decision, while the inner layer model outputs a fault recovery decision based on the power grid topology and load priority. Finally, the two types of decisions are converted into emergency repair resource scheduling instructions and power grid control instructions, respectively, and emergency repair operations and load restoration operations are executed simultaneously. This invention effectively solves the problems of difficult path selection, information asymmetry, and slow response speed faced by power grid repair and restoration when power failures are caused by natural disasters or accidents, significantly improving the emergency response capability and power supply restoration speed of the power grid, and effectively ensuring power supply stability and security.

The application discloses a diver handheld navigation sonar cross-modal navigation method and system, and relates to the technical field of underwater navigation. It aims to solve the problems of low navigation recognition, high power consumption and cross-modal fusion deviation in low visibility environment. The application includes synchronously collecting underwater acoustic, visual and positioning data; correcting the physical field of acoustic and visual data based on a fluid dynamics model and an electromagnetic wave propagation model; extracting geometric and texture features from the corrected data, while detecting acoustic anomalies and visual anomalies, and comprehensively outputting obstacle information; matching the extracted features with a pre-stored feature library for similarity, and outputting fusion features; generating a basic path based on the fusion features through a dynamic weight cost function, correcting the generated final path using positioning data, and planning a detour route; and superimposing and displaying the path, the detour route and the obstacle information, and giving a warning when the distance of the obstacle is less than a safety threshold. The technical scheme significantly improves the navigation recognition and reduces the power consumption in low visibility.

This invention discloses a method and system for risk assessment and graded early warning of offshore wind farm vessels. The method involves collecting and fusing multi-source sensing data; performing spatiotemporal alignment and fusion processing on the fused multi-source sensing data to generate a bird's-eye view feature representation containing spatiotemporal characteristic information of the vessel; based on the bird's-eye view feature representation, employing a fusion prediction model combining a vessel motion physics model and a time series prediction algorithm, calculating the motion reachability set of the target vessel within the predicted time period; conducting a risk assessment based on the spatial relationship between the motion reachability set and a preset safe area of ​​the wind farm, and triggering graded early warnings based on the assessment results. This invention solves the problems of blind spots in single-source monitoring and high false alarm rates in traditional early warning systems, achieving accurate and dynamic assessment and proactive early warning of vessel collision risks in offshore wind farm waters, significantly improving regulatory safety and efficiency.

The application relates to the technical field of ship safety, in particular to a safety guarantee and emergency response system and method applied to a ship; the system comprises an intelligent domain controller and a ship body domain controller, and the intelligent domain controller is electrically connected with the ship body domain controller; wherein: the intelligent domain controller is used for generating at least one first emergency plan of a ship device based on first ship device data associated with the intelligent domain controller and / or second ship device data associated with the ship body domain controller; and the ship body domain controller is used for controlling corresponding devices in the ship based on the at least one first emergency plan of the ship device. Through the system, an intelligent ship safety guarantee and emergency response system architecture and a working mode thereof are provided, unified access, intelligent analysis, centralized decision-making, cooperative response and reliable execution of all kinds of safety-related information of the ship are realized, and therefore the overall safety level and the emergency disposal capacity of the ship are improved.

This invention discloses an intelligent management method and system for medical electronic devices. The method includes the following steps: Step 1: Authenticating the identity of the personnel who use / return the medical electronic device using biometric technology; Step 2: After successful authentication, allowing the personnel to use or return the medical electronic device; Step 3: During the return operation, forcing the medical electronic device to connect to a preset interface, triggering an automatic charging process, an automatic data collection process, and an automatic disinfection process; Step 4: During the use operation, unlocking the corresponding storage unit, detecting the device's removal status, and closing the disinfection process; Step 5: Real-time monitoring of the charging status, storage location, and usage status of the medical electronic device, generating and storing device retrieval and return records, status data, and related collected data; Through the implementation of this invention, fully automated integrated processing of charging, disinfection, and data collection after device return is achieved, significantly improving the management efficiency, security, and availability of medical electronic devices.

The utility model discloses a construction site safety inspection device for dangerous engineering. The construction site safety inspection device comprises a supporting seat arranged on the inner wall of an installation hanging seat and a rolling guide wheel which can abut against an I-shaped sliding rail in a rolling mode. The upper ends of the first connecting rod and the second connecting rod are respectively connected with the brake assembly, and the lower ends of the first connecting rod and the second connecting rod are linked through an electromagnetic assembly; the electromagnetic assembly comprises an electromagnet and a magnetic guide column which are matched in a magnetic attraction mode, and a compression spring is arranged between the electromagnet and the magnetic guide column. Through cooperation of the electromagnetic assembly and the cross hinged connecting rod, quick response and reliable action of the braking mechanism are achieved. The magnetic attraction effect of the electromagnet and the magnetic guide column is combined with the elastic reset characteristic of the compression spring, braking can be automatically triggered in the power failure or emergency situation, and the inspection device is prevented from accidentally sliding. The cross hinged connecting rod structure optimizes a braking force transmission path, reduces mechanical impact, adapts to a narrow construction environment, and improves the safety and stability of high-altitude track inspection.

The invention provides a three-dimensional simulation image generation system and method suitable for a well site and a medium, and relates to the technical field of oil drilling, and the system comprises a position acquisition module and a data processing center which are connected in sequence; the position acquisition module is used for acquiring target positions and parameters respectively corresponding to the well site and the infrastructure in the well site; and the data processing center is used for generating a three-dimensional simulation image based on the target position, the parameters and the three-dimensional modeling software. Therefore, on one hand, the accuracy of the three-dimensional simulation image is improved, and meanwhile, the overall layout and equipment distribution condition of a drilling site can be visually checked in a three-dimensional manner, so that more accurate virtual inspection and operation planning are carried out, the operation efficiency and safety are improved, and the layout and logistics cost of infrastructures are optimized; and the emergency response capability is enhanced. And on the other hand, remote monitoring and command scheduling are supported, the management efficiency is improved, and intelligent and digital transformation of drilling operation is promoted.

The utility model discloses a kind of water-involved depth adjustable emergency rescue drought-resistant emergency floating box pump station, relating to water supply technical field, including emergency pump body and floating box body, the surface of floating box body is fixedly installed with guide rail support, the inside of guide rail support is slidably installed with power crossbeam frame, the surface of guide rail support is fixedly installed with oil cylinder mechanism, the upper end of oil cylinder mechanism is fixedly installed in the surface of power crossbeam frame, the water-involved depth adjustable emergency rescue drought-resistant emergency floating box pump station, by adopting the characteristics that water-involved depth is adjustable, make the minimum water-involved depth of emergency floating box pump station 10800m 3 / h adjustable to 1 meter, can adapt to various topography and carry out emergency rescue, to realize the water discharge range widely, water discharge range reaches 900m 3 / h-10800m 3 / h effect, and all components of the emergency rescue drought-resistant emergency floating box pump station are bolted, installation is only fast completed using a electric wrench, realizes the effect that installation is convenient, and adopts modular design.

This invention proposes a dynamic self-optimization and adaptive learning method for large-scale water conservancy system models, comprising steps such as data acquisition and preprocessing, model construction and initialization, real-time monitoring and model evaluation, difference analysis and adaptive adjustment strategy generation, model updating and optimization, and continuous learning and knowledge accumulation. This method, through dynamic data-driven approaches, intelligent difference analysis, and adaptive optimization, achieves a transformation of water conservancy system models from "static and passive" to "dynamic and proactive." Compared to existing technologies, it offers greater accuracy, real-time performance, economy, and sustainability, providing a feasible technical path for the intelligent upgrading of water conservancy systems and possessing broad application potential in fields such as flood control and disaster reduction, agricultural irrigation, and clean energy production.

This application provides a method and system for scheduling nest resources for emergency inspection tasks. The method includes: obtaining the target location of the emergency inspection task; retrieving nest resources based on the target location to obtain a candidate nest set; obtaining the status information of each candidate nest in the candidate nest set, the status information indicating whether the nest is in a planned occupancy state; for each candidate nest in the candidate nest set, if the status information indicates that the candidate nest is in a planned occupancy state, obtaining the task attribute of the task to be executed corresponding to the candidate nest; evaluating the releaseability of the candidate nest based on the task attribute to obtain a releaseability score; and determining the target nest from the candidate nest set based on the status information of each candidate nest and all releaseability scores. This method improves scheduling accuracy, enhances emergency response capabilities, optimizes resource utilization, and improves scheduling stability, achieving efficient and precise scheduling of nest resources.

The invention discloses a compensation device of a drilling system without a marine riser and an emergency release method thereof, the device comprises a mud return pipeline marine riser, a blowout preventer trailer, an adapter, a shunt unit, a compensation module and a control system, and the compensation module comprises a compensation main body and a compensation cylinder connected with the compensation main body; a second vertical channel is formed in the compensation body, the second vertical channel is configured to receive and suspend a suspension joint of the mud return pipeline marine riser, and the compensation cylinder is configured to be operated in a switchable mode in at least two working modes including operation under a first operation pressure and operation under a second operation pressure. In the normal working mode, the heaving motion of the drilling ship is counteracted through the normal compensation stroke, and in the emergency recovery mode, the drilling ship operates under the second operation pressure higher than the first operation pressure, and additional pulling force is provided through the emergency recovery stroke, so that the seabed gravity anchor is pulled out of the seabed. The problems that an existing drilling system without the marine riser cannot compensate the dynamic load in real time and the emergency recovery efficiency is low are solved.

This invention relates to the fields of industrial monitoring and VR technology, specifically a method for managing the production of flame-retardant nonwoven fabrics based on VR technology. The method includes: collecting temperature, rotation speed, and tension data streams from the production line and performing multi-scale decomposition; identifying data offset events for each component using adaptive thresholds; and then fusing these data to generate a composite abnormal event descriptor. Based on this descriptor, fault cause chains and equipment relationship networks are retrieved from a production process knowledge graph; a virtual sensing data stream is constructed and compared with processed real data for verification; and a structured report containing fault location and maintenance suggestions is generated accordingly. The report and event descriptor are mapped to a 3D equipment model in the VR monitoring scene. This method achieves accurate tracing and early warning of complex coupled faults in the production process, and significantly improves the intuitiveness of monitoring and decision-making efficiency through immersive 3D visualization.

The invention discloses an acute respiratory distress syndrome (ARDS) prediction method and system based on multi-modal data and deep learning, relates to the technical field of computer-aided diagnosis, and provides a computer algorithm for intelligently predicting the severity of an ARDS patient based on computed tomography (CT) imaging and clinical indexes. Therefore, doctors can be assisted in early intervention and treatment. According to the technical key points, inflammation can be effectively segmented by using a 2.5 D U-Net model and a sub-visual recognition algorithm; according to the method, the ARDS is predicted by introducing an Extreme Graduent Boosting (XGBoost) algorithm after the segmented inflammation features are extracted, so that the ARDS prediction based on the imaging features is realized; the system can shorten the diagnosis time and reduce the death rate, and is of great significance to early diagnosis of ARDS. Experimental results show that the method provided by the invention has high accuracy in predicting the severity of the ARDS, the Dice coefficient of lung inflammation segmentation is 90.2%, and the accuracy of predicting the severity of the ARDS is 86.5%.

This invention discloses a spatial optimization scheduling method and system for medical device distribution based on the Internet of Things (IoT), relating to the field of medical device storage. The method includes collecting historical warehouse outbound data and extracting the outbound frequency and co-occurrence frequency of medical devices; obtaining the location coordinates and exit positions from the warehouse map information; constructing a comprehensive cost function, which consists of the weighted distance cost from the device to the exit and the collaborative handling cost between related devices; and solving for the minimum value of the cost function through an optimization algorithm to generate the optimal storage distribution strategy. This invention solves the problems of low picking efficiency and scattered storage of related devices caused by static layout in traditional medical warehousing, significantly shortening the handling path of frequently used devices and reducing the operational complexity of collaborative outbound scenarios.

This invention belongs to the field of computer software, data processing, and information push technology. It discloses a software-based alarm method and system for asset status monitoring. Relying on a pure software layer architecture, it achieves decoupling and adaptation with hardware devices. It receives asset status monitoring data streams through a preset universal data communication interface, performs intelligent anomaly analysis based on a pre-configured rule set, and generates standardized alarm information containing the anomaly type, unique asset identifier, and timestamp upon triggering an anomaly condition. This information is then pushed to the bound user terminal via multiple communication channels. Simultaneously, it achieves persistent storage and query response for alarm and status data. This invention does not require binding to specific hardware devices and can realize multi-dimensional intelligent anomaly judgment, multi-channel multi-user synchronous alarms, and full lifecycle data traceability. It effectively reduces the false alarm rate, improves alarm reach reliability, and enhances collaborative management efficiency. It is suitable for remote real-time monitoring scenarios of various assets such as personal belongings, enterprise equipment, and logistics parcels.