178results about How to "Improve disposal efficiency" patented technology

The invention discloses an urban inland inundation prediction monitoring method, system and device and a medium thereof, and the method comprises the steps: obtaining historical ponding distribution information and a flood prevention starting plan of a target urban monitoring region based on collected rainfall prediction data and rainfall early warning levels; acquiring current flood prevention drainage facility information and drainage facility state results according to the historical ponding distribution information and the flood prevention starting plan; in the predicted urban inland inundation deduction model, performing urban inland inundation simulation calculation based on rainfall prediction data, historical ponding distribution information, a flood prevention starting plan and a corresponding drainage facility state result to obtain an urban inland inundation simulation result; generating a plurality of waterlogging and ponding monitoring units based on the urban waterlogging simulation result, and collecting corresponding waterlogging and ponding monitoring data; optimizing the urban inland inundation deduction model when the urban inland inundation simulation result and the inland inundation ponding monitoring data meet deviation judgment adjustment conditions; according to the invention, the processing efficiency of urban flood prevention and typhoon prevention emergency scheduling is improved.

The invention discloses a brain-like edge calculation-driven multi-mode intelligent security method and system, and aims to improve the security capability in a complex dynamic scene. According to the method, multi-modal data of videos, audios, sensors and the like are collected, preprocessing is carried out by utilizing a brain-like edge computing gateway, dynamic behavior characteristics are extracted, secondary confirmation is carried out through a lightweight visual large model, and then formal early warning is generated. And the system executes intelligent linkage operation according to the early warning information risk level, and records false alarm information for model optimization. According to the invention, brain-like calculation and multi-modal fusion are adopted to improve the recognition precision, edge calculation reduces delay, an intelligent closed loop realizes differentiated treatment, a low-power design and a modular architecture reduce the cost, and the system has a self-learning capability. The defects of an existing security and protection system in the aspects of dynamic behavior recognition, response speed, disposal intelligence, cost control and the like are effectively overcome. The system is suitable for scenes such as a campus and a community, and provides an accurate, efficient and intelligent security solution.

The invention provides a camera quality centralized diagnosis method and system. The method comprises the following steps: regularly obtaining video frames or video streams of a transformer substation camera; determining a quality state of the camera based on the video frame or the video stream; the method specifically comprises the following steps: analyzing the video frame or the video stream, and diagnosing the quality state of the camera according to the quality state of the video frame or the video stream; and if the quality state of the camera is abnormal, triggering an alarm. According to the method, additional equipment is not needed, the state of the camera body is effectively diagnosed by processing and analyzing the pictures or videos output by the camera and combining related judgment rules, the abnormal state of the camera can be found in time, related personnel can be notified, the working reliability and stability of the camera are guaranteed, and the working efficiency is improved. The method can be widely applied to the fields of security monitoring and the like.

The invention belongs to the technical field of airport operation information processing, and discloses an airport emergency information release response processing platform and method. The method comprises the following steps: determining a processing strategy; generating an event report by using a preset template, and automatically reporting the event report according to a preset communication protocol; in the disposal process, high-definition video pictures and voice transcription characters are captured in real time and automatically transmitted to a background system, key video clips and pictures are recognized and intercepted through an advanced intelligent analysis algorithm, each link of the whole event disposal is recorded, key data and insight are extracted from recorded information, and the processing efficiency is improved. And optimizing the disposal process. And the processing progress of each event processing center and each event processing terminal is monitored in real time. According to the invention, various dynamic information on site can be quickly captured and understood, detailed disposal records are formed, the disposal process is continuously optimized, and quick and accurate response can be ensured when various emergencies occur.

The invention belongs to the technical field of road traffic management, and particularly relates to an expressway event handling method and system based on big data, a terminal and a storage medium, and the method comprises the steps: collecting real-time data on an expressway, and carrying out the preprocessing of the collected real-time data of the expressway; analyzing the preprocessed real-time data of the expressway, and judging whether an emergency event occurs on the expressway or not; and if yes, inputting the collected highway real-time data into a pre-constructed highway emergency event handling model, and generating emergency event handling measures. According to the invention, vehicle driving data, road condition data and environment data on the expressway are collected in real time through equipment such as a vehicle speed sensor, a meteorological sensor and a camera which are installed on the expressway; and a Markov decision process is utilized to construct an expressway emergency event handling model, so that intelligence and automation of emergency handling are realized.

An intelligent associated hydropower station one-stop cockpit comprehensive management and control method realizes efficient comprehensive management and control of a hydropower station through four methods of exception handling comprehensive information management, cockpit large-screen information flow switching, large-screen switching page management and control and multi-source data fusion. According to the exception handling comprehensive information management method, exception handling cards are managed through a dynamic configuration algorithm, and quick response and accurate handling are ensured; according to the cockpit large-screen information flow switching method, a flexible display mode is supported through stable network connection and safe video flow transmission; according to the large-screen switching page management and control method, timely transmission of key information is ensured through real-time monitoring and an intelligent screen switching strategy; according to the multi-source data fusion method, comprehensive management and fine control of data are realized through combination of a real-time database and a historical database. Through the construction and management of the five databases, the fine management and automatic control capability of the playing content is further improved, and the efficient operation and safety of the system are ensured.

The invention discloses a superfine high-performance admixture system with a multi-stage separation dynamic screening function and a solid waste treatment operation method, and the system comprises a vibration crushing device which is used for crushing building solid waste into small blocks and obtaining the building solid waste small blocks; the first swash plate grinding device is used for grinding the small building solid waste blocks to obtain small solid waste particles; the solid waste grinding multi-stage separation dynamic powder selecting device is used for screening small solid waste particles and obtaining fine-particle-size materials; the second swash plate grinding device is used for carrying out secondary grinding on the fine-particle-size materials; and the solid waste ground powder material flow rate control partition board material cabin is used for carrying out wind separation on the materials. The treatment procedure is simple and efficient, the construction solid waste treatment operation is reasonable, the problems that the construction solid waste pollutes the environment, the treatment process is complex, and the cost is high are solved, and remarkable economic, environmental and social benefits are achieved.

The utility model discloses an automatic discharging device of a laser cutting machine, and relates to the technical field of automatic discharging. According to the technical scheme, the device comprises a supporting platform and a driving motor, first protection baffles are fixedly connected to the two sides of the supporting platform, a conveying belt is arranged above the first protection baffles, a driving shaft, a first gear, a driven shaft and a second gear are arranged in the conveying belt, and a waste collecting bin is fixedly connected to the lower portion of the supporting platform; the upper end of the waste collecting bin is fixedly connected with a waste collecting inlet, the top end of the waste collecting bin is fixedly connected with a waste collecting table, a remote control waste transfer trolley is arranged below the waste collecting table, and electric wheels are assembled on the bottom face of the remote control waste transfer trolley. According to the automatic discharging device of the laser cutting machine, the conveying device is installed below the cutting platform, waste materials generated after cutting of the cutting platform fall onto the conveying device, the waste materials are collected and conveyed in a unified mode through the conveying belt, and then the situation that time and labor are wasted when the waste materials are collected manually is changed.

The invention discloses a complete set of technical equipment for zero-landfill harmless treatment of multi-source solid waste, comprising: a high-temperature grinding unit for mixing and chopping the fed multi-source solid waste, adding water and grinding into solid waste slurry; the water-solid-gas-smoke self-purification unit is used for heating, drying and granulating the solid waste slurry to form dry powder, pressing and forming the dry powder into a solid waste dry powder blank, purifying smoke generated in the heating and drying process of the solid waste slurry, and cooling generated water vapor for recycling; the sintering treatment unit is used for carrying out vitrification sintering treatment on the solid waste dry powder blank to obtain a recycling product; and the intelligent control unit is used for automatically controlling the high-temperature grinding unit, the water-solid-gas-smoke self-purification unit and the sintering treatment unit to work. According to the method, the multi-source solid waste can be treated into the resourceful product, and harmlessness, ultralow emission, energy conservation and environmental protection in the resourceful treatment process can be ensured while the quality of the resourceful product is ensured.

The present application discloses a computer network security analysis method based on big data, which relates to the field of network security, including: collecting user behavior data and interaction data; preprocessing the collected user data set; using a federated learning architecture, taking the preprocessed user data set as a training sample, training a machine learning model locally on the user side for user status analysis; uploading the parameters of the trained machine learning model to a cloud server, performing global aggregation on the cloud service, and obtaining a global machine learning model; based on the global machine learning model and interaction data, using an unsupervised learning method based on anomaly detection to perform security analysis on the user's computer network behavior. In view of the low network security efficiency existing in the prior art, the present application performs real-time analysis of user status through a local BiLSTM neural network model on the user side, and at the same time, uses a federated learning architecture to perform global aggregation on the cloud, etc., thereby improving the efficiency of analysis.

The application provides a network security vulnerability automatic management method based on network security intelligence, belongs to the field of network security vulnerability management, and is used for solving the problems of low automation, large risk assessment deviation and poor collaboration in the related art. The method comprises network security intelligence collection, screening, storage and analysis, attack path prediction, key asset identification, hazard scene enhancement and vulnerability management. Through technologies such as dynamic weight, high-order probability graph model and multi-agent game, accurate intelligence processing, dynamic risk quantification, attack forward-looking prediction and cross-enterprise collaborative disposal are realized, the vulnerability management efficiency and accuracy are improved, and the network security of the ECUs is ensured.

The application discloses a kind of based on artificial intelligence's comprehensive pipe gallery intelligent decision system and method, belong to intelligent decision-making technical field.The application is aimed at each pipe gallery area, pre-calibrates ontology parameter and water seepage boundary parameter, real-time collection operation data, after pre-processing, form comprehensive pipe gallery data.Calculate static water head, combine cabin inside and outside air pressure difference correction to obtain effective action water head;Using artificial intelligence algorithm to predict the change process of ground water level, generate prediction water inflow time sequence.Matching water level and volume corresponding relationship, calculate pipe water total inventory sequence, calculate time period water net increment, combined with effective water cross-sectional area to obtain next minute end prediction water level and water level rising rate;Combined with drainage equipment performance to determine the risk of water inflow in the region.Determine the risk of water inflow, preferentially start local drainage equipment full load operation, as needed control regional interval switch opening degree, linkage adjacent pipe gallery area with drainage redundancy collaborative drainage.

The utility model relates to the technical field of ponding measurement, in particular to a low-lying land waterlogging ponding measurement device which comprises an installation plate, a sliding rail box is arranged at the bottom of the installation plate, an electric sliding rail is installed in the sliding rail box and connected with a movable plate in a sliding mode through a sliding block, and an installation box is arranged at the bottom of the movable plate. A radar liquid level meter is installed in the installation box, a solar power generation panel is arranged on the top of the installation plate, the output end of the solar power generation panel is connected with a storage battery pack, the storage battery pack is installed in a battery groove, the radar liquid level meter is connected with a controller in a telecommunication mode, and the controller is connected with a control platform through a wireless module. The controller is installed in a control groove in the side face of the installation plate, the movable radar liquid level meter is arranged, water level data are obtained in the first time, the water level data are transmitted to a control platform in real time through the wireless module, commanders can make emergency disposal in time according to the data, and the disposal efficiency is improved.

The invention relates to the technical field of medical systems, in particular to a cardiovascular operation nursing intelligent shift change system and an implementation method thereof, comprising a receiving end, an information sending end, an output end, an information acquisition end, an electronic signature end and a management end; the identity information and the state of a patient are confirmed through the output end, the two-dimensional code generator, the second recognition device and the first recognition device, so that the first patient information and the second patient information are confirmed, and the behaviors that the first patient information and the second patient information are manually filled in to be inconsistent and manually modified when a doctor receives the patient are avoided; the output end confirms the information of the medical instruments, omission of the instruments is avoided, omission of the instruments in an operation is avoided, influence on the operation quality is avoided, and economic loss is avoided; the state data of the second patient is acquired through the information acquisition end, so that the second patient is confirmed and matched with the actual illness state, the state of the patient during receiving is ensured, and the safety of the patient is ensured.

The utility model relates to the technical field of heating furnace door opening and closing air cylinder control pipelines, and particularly discloses a furnace door air cylinder emergency control system which comprises an air cylinder and an air source pipeline, an electromagnetic valve is installed on the air source pipeline, and the rear portion of the electromagnetic valve is connected with an air inlet pipeline and an air return pipeline. An air inlet of the air cylinder is further connected with an emergency pipeline, and the other end of the emergency pipeline is connected with an air source pipeline. After the air source straight-through control pipeline is additionally arranged, connection with the air cylinder can be directly disconnected no matter an electromagnetic valve breaks down or an air source triple piece on the front portion breaks down, straight-through air source operation is achieved, intervention of an air source control system is not needed, emergency disposal efficiency is improved, and safe operation of production is guaranteed; when a control pipeline breaks down, a worker does not need to enter a site for emergency danger handling operation, the emergency handling process of the worker is eliminated, intrinsic safety of operation is achieved, and spare part consumption of the electromagnetic valve is reduced.

The invention discloses an epidemic site area risk determination method and apparatus, a terminal device and a storage medium. The method comprises the steps of obtaining a current position and epidemic site basic data of a plurality of epidemic sites; wherein the basic data of the epidemic site comprises the position of the epidemic site and the area of the epidemic site influenced by the epidemic site; for each epidemic site, taking the position of the epidemic site as a circle center, and according to the radiuses of the risk areas corresponding to different risk levels, constructing each epidemic site risk area taking the epidemic site as the center; determining a risk level corresponding to each sub-region in the epidemic site region according to the intersection condition of the epidemic site region and each epidemic site risk region; calculating a distance value between the current position and each epidemic site according to the current position and the epidemic site position; and determining a final risk level corresponding to the current position according to each distance value and the risk level of each sub-region in each epidemic point region. According to the invention, the work efficiency of epidemic situation disposal work is improved.

The automatic fire extinguishing equipment comprises a protective shell, a lithium battery body is connected to the interior of the protective shell, a heat dissipation sealing mechanism is arranged on the outer side of the protective shell, and a partition fire extinguishing mechanism is arranged on the inner side of the protective shell; the heat dissipation sealing mechanism is arranged on the outer side of the protective shell, and the connecting piece, the multiple sealing blades, the first supporting arm, the second supporting arm, the extending plate, the transmission piece and the adjusting rod are arranged in a series linkage mode, so that the first motor can synchronously adjust the opening or closing state of the multiple sealing blades when being controlled and driven; in the normal working process of the lithium battery body, efficient heat dissipation is achieved in cooperation with the ventilation pipe and the heat dissipation fan, the ventilation channel can be rapidly closed when temperature rises abnormally, external air is prevented from entering the protection shell, and the combustion condition is weakened from the environment level.

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 embodiments of the present application disclose a method, device, medium and electronic device for deduplication identification of urban cases. The method includes: obtaining the current content identification result of the current urban case; the content identification result is obtained based on the identification of at least one information dimension by intelligent identification technology; reading the historical content identification results from the similarity reference library for comparison, if there is a target content identification result with a similarity greater than a set threshold with the current content identification result, then determining that the current urban case and the target urban case corresponding to the target content identification result are duplicate cases; merging the current urban case and the target urban case. This technical solution can solve the defect of the smart urban management platform in the prior art that relies on manual deduplication, realize the automated operation mechanism of case content identification and case deduplication process, improve the efficiency of daily case handling in the city, and thus improve the operation efficiency of the city.

The present invention discloses a method for dynamically extracting information from an electronic checklist (ECL) form, comprising: detecting whether a form exists in an ECL program; if a form exists in the ECL program, determining whether information extraction from the form is required; in response to determining that information extraction from the form is required, determining target parameters based on the content of the form; determining an extraction range based on aircraft status information and the target parameters; and extracting information from the form based on the extraction range to display the extracted information in the ECL program.

The invention relates to a machine room ceiling condensation and leakage monitoring and processing method, device and equipment and a medium. The method comprises the steps that environment temperature and humidity data and leakage detection signals in a machine room are collected in real time; determining a condensation risk index corresponding to each cabinet in the machine room through the temperature and humidity data and preset equipment arrangement parameters; and determining a corresponding dehumidification strategy and / or drainage strategy based on the condensation risk index and the leakage detection signal, and correspondingly processing the machine room. The device has the effect of improving the machine room ceiling accumulated water and leakage treatment efficiency.

The invention discloses a VOC waste gas treatment system in a waste storage pretreatment process. The VOC waste gas treatment system comprises a high-concentration waste gas treatment device and a low-concentration waste gas treatment device. The high-concentration waste gas treatment device comprises a waste gas filter, an adsorption tank, a nitrogen heater, a condenser and a cooler; a gas inlet of the waste gas filter is connected with an outlet of the waste gas collecting device; a waste gas outlet of the adsorption tank is respectively connected with a gas outlet of the waste gas filter and a discharge chimney; a gas inlet and a gas outlet of the nitrogen heater are respectively connected with a nitrogen source and a nitrogen inlet of the adsorption tank; an inlet and an outlet of the condenser are respectively connected with a nitrogen outlet of the adsorption tank and a liquid inlet of the waste liquid tank; a gas inlet and a gas outlet of the cooler are respectively connected with a nitrogen outlet and a nitrogen inlet of the adsorption tank; an outlet of the waste liquid tank and a nitrogen outlet of the adsorption tank are both connected with a hazardous waste incineration line; and the low-concentration waste gas treatment device comprises a washing tower connected between the waste gas collection device and the discharge chimney. The VOC waste gas treatment efficiency can be effectively improved.

This invention discloses a 3D visualization modeling method and system for data center equipment operating status, relating to the field of big data processing technology. The method includes: classifying multi-source heterogeneous data based on metadata features to obtain static and dynamic equipment datasets; 3D reconstructing the static equipment dataset and merging it with the dynamic equipment dataset to construct a hierarchical association model; triggering a linkage response to generate joint audit instructions when the equipment operating status exceeds the security boundary; determining abnormal execution paths and abnormal tracking paths based on the hierarchical association model and joint audit instructions; deducing fault conditions by combining temporal change trends; and dynamically rendering and displaying the equipment status within the abnormality's influence range using a 3D visualization engine-driven hierarchical association model. This achieves deep fusion of multi-source heterogeneous data, 3D visualization of equipment operating status, and intelligent deduction of fault conditions, improving monitoring personnel's ability to perceive equipment anomalies and the efficiency of fault handling.

This invention discloses an AI-powered big data-based enterprise management data visualization and analysis system. The system includes a multi-source management data acquisition module, used to collect revenue, cost, profit, cash flow, inventory, procurement, orders, customers, projects, human resources, and supplier performance data from enterprise financial systems, ERP systems, CRM systems, inventory systems, procurement systems, contract systems, project management systems, and human resource systems. This invention relates to the field of enterprise management data processing technology. This AI-powered big data-based enterprise management data visualization and analysis system, when abnormal result indicators occur, can trace intermediate transmission indicators and cause indicators backward along the operational causal chain, and delete pseudo-correlation paths based on business rule verification values ​​and time sequence verification values, solving the problem that existing visualization systems can only display abnormal results but cannot explain the root causes of anomalies.

The invention provides a method for the coordinated treatment and resource utilization of aluminum electrolysis overhaul slag and carbon slag, comprising the following steps: (1) mixing the aluminum electrolysis overhaul slag and carbon slag, crushing, ball milling, slurry mixing, pressurized alkali leaching, and introducing high-temperature water vapor and air to obtain an alkali leaching solution and an alkali leaching slag; (2) adding ozone, calcium hypochlorite, and modified polymer-grade aluminum chloride-aluminum sulfate to the alkali leaching solution in sequence, and filtering and separating; (3) washing the alkali leaching slag, and then acid leaching and settling to obtain an acid leaching solution and an acid leaching slag; (4) mixing the acid leaching solution and the alkali leaching solution treated in step (2) to carry out fluoride salt directional conversion, and separating the obtained product into a solid and a fluoride salt directional conversion liquid; (5) sending the fluoride salt directional conversion liquid obtained in step (4) to a water treatment system for treatment and then recycling it to the slurry mixing in step (1); washing and removing impurities from the solid and then drying it; the method can simultaneously realize the high-value utilization of valuable elements in the aluminum electrolysis overhaul slag and carbon slag, reduce the processing cost, and improve the efficiency.

The embodiment of the invention provides a personal characteristic information processing method and device and a server. The method comprises the steps that when a user triggers a disposal instruction, a server can respond to the disposal instruction, and personal feature information, input by the user on an interactive interface, of a to-be-disposed user is acquired; the server can retrieve in a system connected with the personal characteristic information processing system according to the personal characteristic information to obtain at least one related system associated with the to-be-processed user. The server can dispose the personal characteristic information of the to-be-disposed user in the related system according to a preset disposal strategy after determining the related system. And the server can check files and mails in the terminal device which may be used by the to-be-handled user. And when it is found that the file and / or the mail contain the personal characteristic information of the user to be handled, the server can handle the file and / or the mail. The method is used for achieving the effect of improving the disposal efficiency.

The invention discloses an urban intelligent platform based on artificial intelligence. The urban intelligent platform comprises an application management platform, a data management platform and a cloud management platform, the management platform is used for being responsible for capability sharing, business cooperative work and basic component capability platform construction; the data management platform is used for collecting, governing, fusing and sharing urban data, and department data is governed according to a unified standard, then converged to a department data pool and upwards converged to a unified data lake; and the cloud management platform is used for constructing a cloud access adaptation engine municipal collaborative service node, acquiring cloud resource information and then uploading data to the cloud management platform. According to the invention, by integrating components, data and infrastructure resources, integrated construction of the smart city is promoted; by fusing system data of all industries of a city and combining with a geographic information model, city managers are helped to master city operation situations and signs in real time, and the city operation management level is continuously optimized.

The application provides a multi-scene safety inspection method and system based on a UAV, and belongs to the technical field of UAV safety inspection, and comprises the following steps: constructing a multi-scene safety sample library; training a multi-task computer vision model based on the multi-scene safety sample library to obtain a safety inspection algorithm model integrating multiple recognition capabilities; the multi-task computer vision model comprises a shared feature extraction backbone network and multiple independent task head networks; a training set is input into the shared feature extraction backbone network to extract general feature maps; the general feature maps are respectively input into the multiple independent task head networks for parallel training to obtain the safety inspection algorithm model; and the safety inspection algorithm model is loaded on a UAV flight platform to perform parallel inference analysis on inspection images collected by the UAV in real time, and to identify preset safety hidden danger targets.

The utility model relates to the technical field of fire fighting, and provides a carriage, a fire-fighting vehicle with the carriage and a fire-fighting system with the carriage. The compartment comprises a compartment body. The first door body is arranged on at least one first side face, with the largest area, of the periphery of the compartment body, the first door body is movably connected with the compartment body, and when the first door body is in an open state, a target to be subjected to fire fighting can enter the compartment body through the first side face. By the adoption of the compartment, the fire-fighting target can be efficiently treated, meanwhile, rescue safety is ensured, and reliability is high.

The invention discloses a social governance cross-platform sensing robot system based on a vertical large model, and relates to the field of social governance systems based on the vertical large model, and the system comprises a group management module used for managing user group data, a sensing configuration module, a rule used for configuring intelligent robot sensing data, and a data monitoring module. The system comprises a data monitoring module used for monitoring generated data, a task management module used for managing and coordinating various tasks executed by a robot, a data processing and analysis center comprising a data storage unit, a data analysis unit and a model construction unit, and a data display early warning module, and the display module is used for displaying data processing and analysis results in the form of visual charts and curves. According to the social governance cross-platform sensing robot system, through module optimization, accurate group data management, customized sensing, efficient task processing and rapid data analysis, personalized requirements are met, remote management is convenient, and the social governance efficiency is improved.