14results about How to "Reduce disposal time" patented technology

This invention belongs to the field of pharmaceutical wastewater treatment technology, and particularly relates to an ultrasonic-coupled electrochemical pretreatment device and method for high-concentration antibiotic production wastewater. The device consists of an ultrasonic treatment first reactor, an electrochemical second reactor, and a flocculation sedimentation third reactor connected in series via pipelines. The first reactor is equipped with a wall-mounted ultrasonic transducer; the second reactor contains a stabilizing electrode and a sacrificial electrode, and multiple disc aerators are installed at the bottom; the third reactor contains an overflow trough, inclined tube packing, and an electromagnet. This invention can achieve efficient desorption and mineralization degradation of adsorbed antibiotics in suspended solids in production wastewater, reduce antibiotic and degradation product residues in flocs, and eliminate toxic effects on subsequent biological treatment processes.

The utility model discloses a rapid smoke sealing device for fire fighting. The rapid smoke sealing device comprises a device frame and a baffle, the device frame is pre-arranged in a wall body, and a through groove of the device frame corresponds to a door or a window in position; the interior of the device frame is hollow to form a containing groove, and the blocking plate is arranged in the containing groove. Mounting cavities are formed in the upper portion and the lower portion of the containing groove and the through groove correspondingly, and transmission structures are arranged in the mounting cavities. The blocking plate is arranged at the transmission end of the transmission structure, the blocking plate is driven by the transmission structure to move, and then closing and opening of the through groove are achieved. The frame of the device is embedded into a wall body in advance and is flush with the surface of a building at ordinary times, when a fire occurs, environmental data are monitored in real time through the temperature sensor and the smoke sensor, closing and alarming of the barrier plate are controlled through the control main board, and the gold disposal time at the initial stage of the fire is effectively shortened.

This invention provides a method and system for abnormal event association processing based on an operation and maintenance knowledge graph, belonging to the field of operation and maintenance management technology. The method includes: taking each abnormal event entity in a structured abnormal event sequence as an input node set; based on the topological mapping position of the input node set in a preset operation and maintenance knowledge graph, aggregating the k-order adjacency topological features and business semantic embedding features of each input node to obtain a graph event representation vector; performing pairwise comparison and temporal alignment of the feature vectors representing different abnormal event entities in the graph event representation vector; iteratively calculating the temporal lag correlation index and state transition probability matrix between each abnormal event entity; and converging to obtain a candidate abnormal event association subgraph based on the state transition probability matrix and a preset association confidence threshold. This invention realizes abnormal event association and handling instruction generation, improving operation and maintenance efficiency and the accuracy of fault root cause location.

The invention discloses a DCS remote cooperative operation and maintenance system based on AR, and particularly relates to the field of operation and maintenance management, and the system comprises an acquisition module, a parameter mapping module, a resource intelligent matching module, a precise positioning module, an operation synchronization module, a dynamic verification module, an intelligent decision iteration module and a training module. The acquisition module is used for acquiring multi-dimensional parameters and storing the multi-dimensional parameters to a distributed database after performing standardization processing on the multi-dimensional parameters; the parameter mapping module is used for constructing an AR three-dimensional scene model based on spatial positioning data, calculating a scene modeling precision coefficient and dynamically mapping standardized parameters to the model; through cooperative matching degree calculation and cross-terminal AR cooperative interaction, optimal configuration and operation synchronization of operation and maintenance resources are realized, the problems of poor cooperative synchronization and low resource scheduling efficiency in the prior art are solved, the cooperative management efficiency is enhanced, the fault response and handling time is shortened, the operation and maintenance cooperative efficiency is improved, and the user experience is improved. And the real-time cooperation requirement of complex fault handling is met.

The invention discloses a distributed pressure monitoring and early warning method and system in a battery box, and the method comprises the steps: obtaining pressure data, collected by a distributed pressure sensor array, of each point in the battery box, and forming pressure distribution data; acquiring temperature and humidity in the battery box, and compensating the pressure distribution data by adopting an environment compensation algorithm; based on the compensated pressure distribution data, dynamically calculating a pressure normal range threshold value by adopting a 3 sigma principle so as to judge whether the pressure is abnormal or not; if the pressure is abnormal, determining an abnormal position by adopting a weighted centroid positioning algorithm, and identifying a fault type of the pressure abnormality; and triggering graded early warning according to the abnormal position and the fault type. According to the invention, the distributed pressure sensor array is combined with the weighted centroid positioning algorithm, so that the accurate positioning of the abnormal pressure position in the battery box is realized, and the problem that the traditional monitoring only knows the abnormal position but does not know the abnormal position is solved.

This invention relates to the field of aviation technology in image processing, specifically disclosing an aviation smoke detection method based on image recognition. The method acquires continuous image sequences from multiple perspectives within the cabin, constructs a four-dimensional spatiotemporal tensor, extracts temporal feature sequences along the time axis, and performs directional convolution sampling based on airflow direction parameters to obtain spatiotemporal response values, which are then aggregated into a feature map set. Spatial weights are generated based on the physical laws of smoke diffusion, and temporal weights are generated based on grayscale fluctuation frequency; these weighted values ​​yield a feature representation. The feature representation is decomposed into spatial response maps, and the three-dimensional coordinate parameters of the smoke source are obtained through spatial coordinate voting and weighted fusion. A confidence score is calculated based on the dispersion of candidate coordinates and airflow paths. The coordinate information is matched to cabin spatial layout data to generate a situational output. This invention can achieve precise location of smoke sources and output reliability quantification indicators in strong airflow environments.

The utility model discloses a tunnel collapse roof collapse disposal structure, and belongs to the technical field of tunnel disaster control. The structure comprises a closed structure, a protective structure, a backfill structure and an earth surface greening recovery structure, the closed structure is arranged at a cavity formed by a collapse roof on a tunnel vault, the protective structure is arranged on the side wall of a collapse cavity on the upper side of the closed structure, the backfill structure is located on the inner side of the protective structure and arranged on the closed structure, and the earth surface greening recovery structure is arranged on the inner side of the protective structure. And the earth surface greening recovery structure is arranged on the backfilling structure. A cavity formed by the collapse roof on the tunnel vault is closed through the closing structure, the side wall of the collapse cavity is reinforced through the protection structure, the collapse cavity is backfilled through the backfilling structure, and the collapse cavity is further backfilled to the original earth surface through the earth surface greening recovery structure. A back pressure backfill body does not need to be arranged at the collapse position in the tunnel, redundant backfill materials do not exist, the handling workload of collapse and roof fall is remarkably shortened, and the handling time of collapse and roof fall is shortened.

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.

This invention provides a leakage detection and blocking device for a hydrostatic testing machine. The hydrostatic testing machine is equipped with a sealing circuit, a pressurizing circuit, and a pressure-holding circuit. The blocking device includes three blocking devices: a first blocking device, a second blocking device, and a third blocking device. The first blocking device is located on the sealing circuit, and opening it allows for the determination of whether a leak has occurred in the sealing circuit. The second blocking device is located on the pressurizing circuit, and opening it allows for the determination of whether a leak has occurred in the pressurizing circuit. The third blocking device is located on the pressure-holding circuit, and opening it allows for the determination of whether a leak has occurred in the pressure-holding circuit. This device can quickly locate the fault area, significantly reduce the inspection area, avoid the consumption of spare parts through individual inspections, shorten the handling time, avoid the disassembly and assembly of intact components, greatly shorten the troubleshooting time, reduce spare parts consumption, and improve economic efficiency and work efficiency.

The application relates to a complex simulation system-oriented verification cascade failure early warning method and device. The method comprises the following steps: constructing a multilayer verification network according to multiple verification tasks of a complex simulation system. According to the multilayer verification network, each verification task is divided into a plurality of continuous time slices, each time slice corresponds to a complete complex simulation system running and index collection process. The state transition probability between nodes of the multilayer verification network is calculated, so that the failure probability of the verification node state in the multilayer verification network is obtained by adopting a Bayesian network. The joint state between the verification nodes on the key propagation path is evaluated for failure, and the joint failure probability is obtained. According to the failure probability and the joint failure probability, a three-level early warning mechanism is constructed, so that the early warning state sample iterative learning is carried out through an optimization evaluation algorithm, and a cascade failure early warning scheme is generated. The method can improve the verification efficiency and adaptability of the complex simulation system.

The invention discloses a civil aircraft model data management process customizing and real-time monitoring system, which comprises a Flowable process engine module, a dynamic attribute configuration interface expanded on the basis of a standard BPMN 2.0, a data storage layer module, a PostgreSQL-based design business basic table structure, a multi-level approval system module, an RBAC model-based definition multi-dimensional permission label and a real-time monitoring module, a process instance state is captured by utilizing a HistoryService interface of Flowable, a CEP technology and a user interaction interface module are integrated, and a visual process designer is developed based on BPMN.js. According to the method, the problem of process stiffness is solved, real-time synchronization of a process state and PLM / ERP service data is ensured by utilizing PostgreSQL logic copying and Camel middleware, a data island is eliminated, abnormity can be automatically detected and alarmed by combining a real-time monitoring module of CEP, the process reliability is remarkably improved, modeling and management thresholds are reduced by a visual designer and a Gantt chart, and the process reliability is improved. And the cross-department collaboration transparency is enhanced.

The application provides a kind of hydroelectric station auxiliary equipment early warning method, system, equipment and storage medium, belong to hydroelectric station early warning technical field, including through sensor acquisition hydroelectric station in auxiliary equipment's pressure, vibration, current, flow and equipment surface temperature data, and collect auxiliary equipment related pipeline's working condition parameter and environmental parameter, will be collected data according to working condition parameter and environmental parameter generates real-time working condition label, the working condition label at least contains unit load grade, environmental temperature interval and equipment running time length section, will real-time working condition label establish structured threshold parameter library, built-in threshold adjustment model based on optimization XGBoost algorithm, output corresponding working condition under each working condition parameter Dynamic safety interval.The technical scheme of the application aims to realize the double reduction of hydroelectric station auxiliary equipment early warning false alarm rate and missed alarm rate, and improve the operation and maintenance efficiency and equipment safety operation guarantee ability.

The invention discloses a cooperative deformation monitoring point laying method and system for existing subway parking base upper cover development engineering, and belongs to the technical field of structural deformation monitoring. The method comprises the following steps: determining a cooperative deformation influence area; identifying a structural joint and a force flow transmission path in the area; dynamically laying settlement monitoring points based on a structural joint settlement threshold value, and continuously laying strain, corner and three-dimensional strain monitoring points along a force flow transmission path to form a linear candidate monitoring point set; generating a two-dimensional grid candidate point set in the influence area; and carrying out topological overlay analysis based on a Delaunay triangulation network and a Voronoi diagram on the two types of candidate point sets, deleting redundant grid points through a distance threshold value, supplementing monitoring blind area points through uniformity check, and outputting a final monitoring point coordinate set. According to the method, the problem that point distribution is not systematic or the cost is high in a traditional method is solved, and unification of systematicness, economical efficiency and space coverage uniformity of monitoring point distribution is achieved.

This invention provides an intelligent fire extinguishing system for a shaft boring machine (TBM), comprising a fire detection and sensing unit, a TBM equipment status sensing unit, an intelligent fire control center, a fire extinguishing execution unit, a remote data transmission unit, a lighting and alarm unit, and a power management unit. The fire detection and sensing unit and the TBM equipment status sensing unit are electrically connected to the remote data transmission unit, which is electrically connected to the intelligent fire control center. The intelligent fire control center is electrically connected to the fire extinguishing execution unit and the lighting and alarm unit. The power management unit supplies power to the entire system. This invention aims to solve the problems of slow response speed, poor fire extinguishing effect, lack of intelligence, and insufficient safety in existing shaft boring machine fire protection systems, in order to meet the safety requirements of pumped storage power station tunnel projects.