356 results about "Air transport" patented technology

The invention, which relates to the technical field of air transportation and income management, discloses a dynamic generation method and system for an air travel price, and the system comprises a user behavior fine-grained tracking module, a dynamic pricing decision engine module, a cross-channel cooperative control module, and a compliance auditing and feedback module. Through a real-time data stream fusion technology, multivariate signals such as competition dynamic signals, user behavior signals and external environment signals are integrated, and second-level strategy response is realized in combination with the online training capability of a reinforcement learning model; through dynamic state space modeling, variables such as demand popularity, user sensitivity and external risk are coded into six-dimensional vectors, and the limitation of a fixed formula is broken through in combination with the nonlinear mapping capability of a deep Q network; through three measures of dynamic modeling, elastic constraint and cross-chain cooperation, the problems of response lag, high compliance risk and split user experience of a traditional pricing technology are solved.

The invention relates to the technical field of abnormal luggage processing, and discloses an abnormal luggage processing method and system based on vector matching, and the method comprises the steps: constructing a mixed retrieval knowledge base, integrating multi-source heterogeneous data to generate a relational type and a vector knowledge base, and carrying out the index association; establishing a mixed retrieval rule engine, performing keyword analysis and semantic vectorization on the case description, generating a query instruction, and performing parallel retrieval to obtain a candidate scheme set; the development field enhancement decision system generates a structured processing suggestion through a multi-dimensional evidence chain and an RAG framework, and visually outputs a process specification and a compensation basis; the disposal system is constructed to integrate all the modules, and full-process automation is achieved. The system comprises a hybrid retrieval knowledge base construction module, a rule engine module, a domain enhancement decision module and an integration module. Vector matching and rule retrieval are combined, decision making is enhanced through a large model, the abnormal luggage processing efficiency, normalization and scientificity are improved, and the method is suitable for intelligent abnormal luggage processing in air transportation.

The invention relates to the technical field of air transportation and air control, in particular to a terminal area flight landing time intelligent prediction method based on flight path deployment characteristics, which comprises the following steps: step 1, data collection and preprocessing; 2, clustering the arrival positions of the flights; step 3, track feature extraction; 4, constructing and training a prediction model; 5, performing real-time prediction and complex environment adaptation; and step 6, outputting and feeding back a result. According to the method, the prediction precision of the flight landing time in the complex operation environment is remarkably improved by comprehensively utilizing the static characteristics of the flight, the meteorological information, the airport operation state and the dynamic track characteristics in the terminal area.

The invention discloses a flight operation guarantee intelligent collaborative intervention method based on DT and a complex network, and the method comprises the following steps: 1, building a flight ground operation guarantee digital twinborn model based on a data driving method, and achieving the virtual-real synchronization; step 2, establishing a flight ground operation guarantee complex network model; and step 3, flight operation guarantee intelligent collaborative intervention based on the digital twin model and the complex network model. Compared with the prior art, the method has the positive effects that the method has great value and practical significance for improving the traffic capacity of the airport and enhancing resource guarantee. Along with continuous development of the aviation transportation industry and complication of flight guarantee work, the method has wide application prospects, can be applied to various large airports, facilitates optimization of flight guarantee work procedures and improvement of operation efficiency, and meanwhile plays a positive role in promoting modernization management and intelligent development of the aviation guarantee industry.

The invention discloses a new energy system for efficient ventilation, cooling and comprehensive utilization of a heat damage mine, and relates to the technical field of ventilation and cooling of the heat damage mine, the new energy system comprises a liquid air energy storage power station, a liquid air conveying pipeline system arranged in a liquid air conveying stratum drill hole, and an underground liquid air storage and conveying system arranged in an underground chamber of a mine area; the liquid air conveying pipeline system is used for connecting the liquid air energy storage power station and the underground liquid air storage conveying system; the underground liquid air storage and conveying system comprises an underground liquid air storage station and an underground liquid air conveying system; the underground liquid air storage station is used for storing liquid air; and the tail end of the underground liquid air conveying system is communicated with the underground mining area and is used for ventilating, cooling and comprehensively utilizing energy for the underground mining area. The efficiency of a traditional ventilation and cooling process is improved, the means of using liquid gas for industrial production underground is added, the energy consumption cost of mine production is greatly reduced, and the effects of energy storage and efficiency improvement can be provided for a ground power supply system.

The invention discloses an air transport vehicle device capable of smoothly walking and turning, and relates to the technical field of air transport vehicles, the air transport vehicle device comprises an OHT trolley main body, a rear driving seat and a front driving seat, the rear driving seat and the front driving seat are respectively mounted on two sides of the top end of the OHT trolley main body; a front driving shaft and a rear driving shaft are respectively arranged in the front driving seat and the rear driving seat; a connecting seat is arranged at the top end of the OHT trolley main body and is positioned between the rear driving seat and the front driving seat; during linear driving, the speed of the first wheels of the front driving shaft and the rear driving shaft is kept consistent, the gap between the second wheels and the filler strips is adjusted by padding the gaskets, the top end of the T-shaped track is clamped by the limiting plates and the first wheels, the friction force between the first wheels and the track is increased, and the situation that the wheels slip is avoided; the balancing weight can be moved to the suspended position far away from the OHT trolley, and it is guaranteed that the OHT trolley cannot fall or tip over.

The invention discloses a training data set processing method and a freight rate file analysis method. Relates to the field of data processing, and the method comprises the steps: obtaining air transportation price bill data, obtaining a freight rate data interface document used by an aviation institution, and extracting basic transportation price bill data from the freight rate data interface document; the air transportation price bill data is disassembled to obtain M groups of freight rate data, the M groups of freight rate data are labeled to obtain labeled freight rate data, and the labeled freight rate data at least comprises a rule type, a general rule type and an annotation type; a data set used for model training is generated according to the marked freight rate data and the basic transportation price bill data, and the model data set comprises a document set and a data set associated with the document. Through the method and the device, the technical problems of high cost, low efficiency and limited accuracy in manual marking of the training data set in the related technology are solved.

A payload including a housing provided with one or more toothed guides or with one or more docking mechanisms, each of which is configured to detachably toothedly interact with an unmanned aircraft apparatus being docked so as to enable the movement of said docked unmanned aircraft apparatus with respect to the housing of the payload, wherein the housing of the payload is further configured to detachably toothedly interact with yet another (other) unmanned aircraft apparatus so as to enable the action of said yet another unmanned aircraft apparatus onto said docked unmanned aircraft apparatus for withdrawal of the latter from interaction with the housing of the payload. Furthermore, embodiments of an air transport system include two or more unmanned aircraft apparatuses and one of the payload.

The invention belongs to the technical field of wounded information simulation, and particularly relates to a selection control system for treatment equipment for batch air transportation and post-delivery of the wounded, which simulates and generates an air transportation and post-delivery task scene and constructs an air transportation and post-delivery path library by collecting geography, wounded distribution, medical resources and weather information. Medical supplies and paths are matched according to the sick and wounded information and the environment; a personalized treatment technical scheme is generated by utilizing a injury condition classification evaluation and deep reasoning model, medical equipment and a control flow are intelligently selected, air transportation and treatment efficiency is optimized through a simulation evaluation module, and a real-time optimal state is ensured; and the user can also interactively select a task scene, a scheme and parameter setting through the user interface module, so that efficient and accurate intelligent selection and control of batch sick and wounded air transportation and treatment equipment are realized, and the emergency medical rescue efficiency and quality are improved.

The utility model relates to the field of air transportation, and discloses a device for automatically conveying board-beating goods during board-beating of air goods, which comprises a base, a lifting frame is arranged at the top of the right side of the base, a platform is arranged at the top of the lifting frame, a first conveying belt is arranged in the platform, and a supporting plate is arranged at the top of the left side of the base. A second conveying belt is arranged in the supporting plate, a lifting assembly is installed on the top of the base and comprises two first portals, the bottom ends of the first portals are fixedly connected to the top of the base, and a shell is fixedly connected to the top ends of the first portals. According to the conveying device, the chain is pulled through the driving mechanism, the chain wheel starts to rotate under the supporting of the first portal and the protection of the shell, meanwhile, the fixing block drives the first steel rope to pull the supporting plate and the second conveying belt to ascend and descend, goods are automatically and rapidly moved to the designated position, and the first conveying belt conveys the goods from the ground to the second conveying belt up and down; and the working efficiency and the safety coefficient are effectively improved.

The invention belongs to the technical field of air transportation management, and discloses a multi-source data fused sorting method and system for airport flight coordinated launch. The method comprises the following steps: collecting a multi-source data source of a flight; performing multi-source data fusion, generating a five-dimensional dynamic situation matrix, and reflecting the comprehensive state of the flight in real time; judging whether manual priority ranking processing is carried out or not; by constructing an intelligent decision-making system for aircraft departure sorting, optimization target decision-making and intelligent sorting are carried out; the visual sorting interface displays the alternative push-out sorting schemes; obtaining a sorting result of flight coordination deduction; establishing a dynamic reentry mechanism for flights with updated resources or changed states, and reinserting the flights into the global sorting queue; and balancing the adaptation degree of the original priority and the new state of the flight through a dynamic weight distribution algorithm. The airport flight scheduling efficiency is improved, so that flight delay is reduced, the operation efficiency is improved, and the passenger satisfaction degree is enhanced.

The invention discloses a suspension system sensor fault detection algorithm, which comprises the following steps: establishing a suspension system model according to the motion of a real part of a suspension system; designing a state observer based on the suspension system model; acquiring and processing a sensor signal to obtain a residual value; and comparing the residual value with a threshold value to obtain fault information of the suspension system sensor. According to the fault detection method based on the algorithm, the change of the system state can be sensed earlier, and an early warning signal is sent out at the initial stage of sensor fault occurrence. The magnetic levitation system is widely applied to scenes of rail transit, air transportation, medical care and the like, the algorithm provides guarantee for normal operation of the system, meanwhile, maintenance personnel provide sufficient time for checking and repairing a fault sensor, further deterioration of faults is effectively prevented, safe and stable operation of the scenes where the magnetic levitation system is applied is ensured, and the service life of the magnetic levitation system is prolonged. And the safety and the reliability are improved.

The invention discloses an intelligent bird strike prevention and control method and system based on multi-source data, and relates to the field of aviation safety, in particular to the intelligent bird strike prevention and control method based on the multi-source data. The intelligent bird strike prevention and control method based on the multi-source data comprises the steps that aircraft position data are collected; acquiring bird position data; preprocessing the data; constructing a hybrid space-time convolutional neural network, a long-short-term memory network and a physical constraint aircraft trajectory prediction model; constructing a bird trajectory prediction model of a mixed long and short-term memory network and a graph neural network; constructing a collision detection model combined with a mahalanobis distance; risk grade evaluation; and risk grading response. According to the invention, the problems that the data structure is single and different air defense measures are not taken for different risk levels in the prior art are solved. Therefore, the probability of bird strike accidents is effectively reduced, and the safety performance of air transportation is improved.

The invention relates to the technical field of air transportation network analysis and optimization, in particular to a method and a device for identifying important nodes of an airport network, which can solve the problems of limitation of importance evaluation, attack simulation, practical application and the like in the prior art to a certain extent. The method comprises the following steps: data acquisition and processing: acquiring real-time aviation network data from different data sources, and cleaning, formatting and storing the acquired data to provide preparation for subsequent analysis; network modeling: establishing an airport network model according to the collected data; topology potential calculation: calculating a topology potential value of each node by adopting an improved topology potential formula; key node identification: identifying key nodes in the network based on topology potential centrality; dynamic analysis and optimization are carried out, network data are updated in real time, the topology potential and centrality are periodically recalculated to adapt to the dynamic change of the aviation network, and the network structure and the operation strategy are optimized according to the dynamic change.

The utility model discloses an aviation material putting platform, which relates to the field of aviation transportation and comprises a clamping mechanism, the clamping mechanism comprises an electromagnetic push-pull rod, the electromagnetic push-pull rod is fixedly mounted at the bottom of a translation mechanism, two connecting rods are hinged to the bottom end of the output end of the electromagnetic push-pull rod, and clamping arms are hinged to the other ends of the connecting rods. Supporting rods are arranged on the two sides of the electromagnetic push-pull rod and fixedly connected to the bottom of the translation mechanism, and clamping arms are hinged to the bottom ends of the supporting rods. The material putting platform is an unmanned aerial vehicle, battlefield information is collected and transmitted back to the rear portion through a control and image transmission device, no person goes deep into the front line of a battlefield, casualties can be reduced, the fighting capacity is improved, opening and closing of a clamping arm are achieved through stretching and retracting of an electromagnetic push-pull rod, and aviation materials are fixed and released; rapid installation and rapid throwing of aviation materials can be achieved, the task response time is prolonged, a battlefield can be rapidly supported, and therefore casualties are reduced, and advantages are formed for our battlebureau.

The invention provides a carbon transaction method and system for the transportation industry, and the method comprises the following steps: dividing the transportation modes of the industry into land transportation, air transportation and waterway transportation according to the comprehensiveness of the transportation industry; respectively carrying out carbon emission accounting on the three types of transportation modes; summarizing land transportation, air transportation and waterway transportation to calculate the total carbon emission amount of the enterprise; a carbon emission accounting model is constructed, and the total carbon emission amount of each enterprise is calculated; each enterprise allocates the carbon quota according to the allocation proportion; carbon quota transaction: dynamically collecting demand and supply conditions of the buyer and the seller by adopting a principle of combining bilateral auction and dynamic pricing, and jointly determining a final transaction price by the buyer and the seller; identity verification of the buyer and the seller is completed in the transaction process, the transaction is executed through an intelligent contract, and carbon quota transfer and fund payment are achieved. And recording the transaction data in a database in real time. According to the invention, a more accurate, transparent and sustainable operation mechanism is constructed for carbon transaction in the transportation industry.

The invention discloses a civil aviation control operation safety risk assessment method based on text mining and network analysis, and relates to the field of civil aviation control operation safety risk detection, and the method comprises the following steps: S1, collecting domestic and overseas air traffic control operation unsafe event data, and carrying out the preprocessing, including the processing of irrelevant and duplicated data, and the processing of the unsafe event data; constructing an air traffic control operation safety risk management stop word and segmented word library; s2, based on the processed data, a BERTopic topic model is used for identifying civil aviation control operation safety risk topics, model parameters of the BERTopic are modified through topic coherence (TC) and topic diversity (TD) among the topics, and the risk topics are optimized; s3, setting causal relationship network nodes based on the civil aviation control operation safety risk theme, and constructing a causal relationship network to determine the mutual relationship between civil aviation control operation safety risk factors; and S4, identifying high-risk nodes in the civil aviation control operation safety causal relationship network based on topology analysis, determining key cause factors in civil aviation control operation safety events, and proposing a risk control strategy. By adopting the steps, the civil aviation control operation safety risk theme is identified, the causal relationship network is constructed, the risk cause factors are determined, and finally the targeted risk control strategy is put forward, so that stable and safe operation of the air transportation system is facilitated.

The invention discloses an improved YOLOv8-based aircraft surface defect detection algorithm and system, and belongs to the technical field of aircraft detection. The method comprises the following steps: acquiring data by using an unmanned aerial vehicle carried with a high-resolution camera, and carrying out standardized labeling and enhanced preprocessing on the data; a double-layer routing attention mechanism is introduced on the basis of a YOLOv8 algorithm, a BiFormer universal visual converter is constructed, and the multi-scale feature extraction capability is enhanced; adopting a two-stage hyper-parameter optimization strategy and a mixed precision training technology to optimize the model; and a user-friendly software system is developed, and real-time docking between the unmanned aerial vehicle and software is realized. The method can be widely applied to the field of civil aviation, can accurately and efficiently detect various defects such as corrosion, scratches and cracks on the surface of an aircraft, automatically generates a detection report, provides decision support for maintenance personnel, improves the safety and reliability of an air transportation system, and can also be popularized to other fields such as surface detection of unmanned aerial vehicles and spacecrafts.

The invention discloses an air-drop and air-delivery large unmanned aerial vehicle ultra-low-altitude flight control system and method, and belongs to the field of flight control systems, and the system comprises a flight control module, a drop control module, an environment sensing module, a gravity center balance adjustment module and a data storage and interaction module. The flight control module is used for controlling the unmanned aerial vehicle to fly at an ultra-low altitude and ensuring that the flight attitude is stable, so that the position error is less than or equal to 10m, the height error is less than or equal to 2m and the flight path deviation is less than or equal to 10m when the unmanned aerial vehicle flies at the ultra-low altitude; the delivery control module is used for supporting a single delivery mode and a rapid continuous delivery mode, the maximum delivery of 1.2 tons of goods can be achieved, at most four pieces of goods can be delivered in a single flight, the delivery control module is compatible with parachute air delivery and non-parachute air delivery, and the delivery precision of the parachute air delivery at the high altitude of 300 meters is smaller than 100 meters. According to the invention, the unmanned aerial vehicle delivery precision can be improved, the stability is high, and material waste or incapability of accurately delivering to a target area is avoided.

A payload including a housing provided with one or more toothed guides or with one or more docking mechanisms, each of which is configured to detachably toothedly interact with an unmanned aircraft apparatus being docked so as to enable the movement of said docked unmanned aircraft apparatus with respect to the housing of the payload, wherein the housing of the payload is further configured to detachably toothedly interact with yet another (other) unmanned aircraft apparatus so as to enable the action of said yet another unmanned aircraft apparatus onto said docked unmanned aircraft apparatus for withdrawal of the latter from interaction with the housing of the payload. Furthermore, embodiments of an air transport system include two or more unmanned aircraft apparatuses and one of the payload.

The invention relates to the technical field of aeration, in particular to a liftable microporous aerator which comprises a lifting plate, an air conveying unit is fixedly connected to the bottom of the lifting plate, a plurality of aeration units are fixedly connected to the end, away from the lifting plate, of the air conveying unit, and the air conveying unit is used for conveying air into the aeration units; extension plates are fixedly connected to the two sides, close to the gas conveying unit, of the lifting plate, and sliding grooves are formed in the bottoms of the extension plates; due to the fact that the microporous aerators are arranged downwards in the fan shape, when the microporous aerators aerate sewage, water at the bottoms of the aeration units is also aerated, air can simultaneously push surrounding sewage when flowing out of the aeration holes, the sewage fluctuates, activated sludge can be driven to flow when the sewage fluctuates, and the activated sludge can flow out of the aeration units. According to the device, activated sludge can be prevented from sinking to the bottom, meanwhile, when the microporous aerators make contact with the activated sludge and are blocked, the air pressure of the microporous aerators which are not blocked can be increased, and therefore the activated sludge sinking to the bottom can be cleared away more quickly.

The invention belongs to the technical field of sewage treatment, and specifically is an air lift aeration device, comprising a water lifting pipe; a plurality of flow dividers are fixedly connected to the outside of the top of the water lifting pipe; an umbrella-shaped bell is fixedly connected to the outside of the flow divider; an air delivery pipe is installed on the inner wall of the umbrella-shaped bell; circulating water is stirred by a plurality of stirring blades, so that oxygen in the air is accelerated to transfer to the water, thereby improving the aeration effect of sewage treatment, and a plurality of dispersion holes can be used to disperse water and gas, improve the solubility of oxygen in water, and promote the decomposition of organic matter by microorganisms, rely on a sliding cylinder to extend down to the depth of an aeration tank, cooperate with a plurality of limiting protrusions to limit the sliding frame, and start aeration after the position of the sliding cylinder is fixed, and the characteristics of the lower low-temperature water layer are used to improve the aeration effect, and a plurality of air inlet pipes are used to simultaneously inject gas into the air delivery pipe, thereby increasing the injection amount of aeration treatment gas.

The invention discloses an airspace risk modeling method for an autonomous operation scene, and belongs to the field of air transportation safety. In order to meet the requirements of airspace risk assessment refinement and instantaneity in a future autonomous operation mode, firstly, an aircraft ellipsoid risk influence area is established to determine a risk influence range, and an airspace is rasterized to improve the model calculation efficiency; secondly, constructing an airspace risk assessment model by comprehensively considering the real-time risk influence of factors such as distance, speed and course on each grid of the airspace based on an artificial potential field theory; setting a simulation scene, calculating the correlation between the conflict index and the airspace risk value, and explaining the reasonability of the model; and finally, providing an airspace hot spot grid marking method, and visualizing airspace hot spot distribution in combination with various grid scales. Based on the artificial potential field theory, the invention provides a quick calculation method for the risk of any position point of the airspace under an aircraft autonomous operation model, and realizes multi-particle perception of the airspace security situation from the perspective of spatial geography by combining a hot spot grid marking method and multiple scales of grids. And a reference is provided for air traffic management and track adjustment of an airborne auxiliary system in a future autonomous operation mode.

The invention discloses a scheduling method and system matched with air luggage change information, and relates to the technical field of air transportation intelligent scheduling, and the method comprises the steps: collecting luggage change information, passenger travel data and airport equipment state data in an air transportation scene in real time, and outputting an original data stream; an airport operation digital twinborn body is constructed in the element universe, a collaborative transfer path is imported into a digital twinborn environment for space-time preview simulation, luggage flow conflict points are detected in real time, and a physical constraint conflict area coordinate set is marked; inverse solution is carried out on conflict events and traceability strategy defect features in rehearsal simulation through an inverse reinforcement learning algorithm, a reward function space is reconstructed, and gradient compensation parameters are output; and fusing the physical constraint conflict region coordinate set and the gradient compensation parameters, generating a three-dimensional space scheduling instruction set, and executing instruction issuing. Based on the space-time rehearsal simulation method, the security boundary of the luggage transfer path is accurately identified, and the physical constraint overrun risk is effectively reduced.

The invention provides a staged taxiing time prediction and taxiing control method and system, and relates to the field of air transportation. A staged taxiing time prediction and taxiing control method comprises the steps that flight data of a plurality of departure taxiing processes are collected, and each departure taxiing process is divided into a plurality of taxiing stages; extracting flight arrival and departure characteristics of each taxiing stage and departure taxiing time by using the preprocessed flight data; selecting arrival and departure features of a part of flights in each taxiing stage to obtain a plurality of interaction features; training to obtain a departure taxiing time prediction model by using the arrival and departure features, interaction features and departure taxiing time of all flights in each taxiing stage; calculating the sliding time slot of each sliding stage to obtain the actual sliding time to optimize the model, and obtaining the predicted departure sliding time of each sliding stage. According to the method, the prediction precision of the sliding time is improved in the peak period and different sliding stages, so that the overall operation efficiency is improved.

The atomizer comprises a hollow shell, an atomizing support arranged in the shell and a base arranged at the inner bottom of the shell, an atomizing core is arranged at the bottom of the atomizing support, and a smoke outlet through hole, an atomizing core containing groove and a leaked liquid collecting groove are formed in the bottom of the atomizing support. The atomization core is arranged in the atomization core containing groove, a leaked liquid flow guide channel is arranged between the side face of the atomization core containing groove and the side face of the leaked liquid collecting groove, and the leaked liquid flow guide channel can guide atomized liquid leaked out of the atomization core to the leaked liquid collecting groove to be stored. According to the atomizer, the leaked liquid flow guide channel and the leaked liquid collecting groove are formed in the atomizing support, so that the atomizer can prevent liquid leakage during air transportation or when encountering large change of external pressure.

The utility model discloses a hot air circulation energy-saving drying device. Comprising a cyclic heating air supply mechanism, a hot air circulation mechanism and an adjustable drying air outlet mechanism, the cyclic heating air supply mechanism is combined with the hot air circulation mechanism, and an air supply pipe on the outer side of the hot air circulation mechanism is combined with an air inlet pipe of the adjustable drying air outlet mechanism. The circulating heating air supply mechanism comprises an air inlet and return regulation and control chamber, a combustion heating chamber and a hot air supply chamber which are sequentially connected and combined, the hot air circulation mechanism comprises a hot air supply pipeline and a return air circulation pipeline, and the hot air supply pipeline is connected with a hot air supply pipe of the hot air supply chamber. The drying device has the advantages that an air circulation structure formed by combining the circulating heating air supply mechanism, the hot air circulation mechanism and the adjustable drying air outlet mechanism is adopted, hot air in the drying process can be effectively recycled, the effects of energy conservation, emission reduction and environmental protection are achieved, and the drying device further has the advantages of being reasonable in structural design, convenient to operate and debug, low in cost and the like. And hot air conveying is stable and rapid, practicability is good, and universality is high.

The invention discloses a self-adaptive regulation and control method and system for an in-cabin environment driven by vital signs of a wounded person, and relates to the technical field of crossing of medical equipment and environment control. According to the self-adaptive regulation and control method and system for the in-cabin environment driven by the vital signs of the wounded person, a four-dimensional data acquisition system composed of physiology, environment, medical intervention and space-time scenes is built; the method comprises the following steps: synchronously acquiring multi-dimensional vital signs including brain electricity, skin electricity and other nerve and stress indexes, an in-cabin dynamic environment including detailed parameters such as airflow velocity and particulate matter concentration, external medical operation covering drug dosage and equipment working parameters, and transfer scene data including altitude change and bumping intensity; the limitation that only single environment or physiological data is acquired in the prior art is solved; when a craniocerebral injury wounded person is transported in an air transport mode, the system can be combined with the altitude change rate and the electroencephalogram alpha wave power, the blood oxygen lowering risk can be pre-judged 10 minutes in advance, and the problem that misjudgment is conducted only through current data traditionally is avoided.

There was a lack of understanding of cavity warning signs during normal times, and in the event of a disaster, advance road clearance plans could not be dynamically updated to reflect the actual situation, resulting in delays and personal delays. There was no integrated operation of authority adjustment across multiple administrators, allocation of equipment and personnel, preparation for communication outages, or reflecting knowledge from training and past performance. Solution: The information acquisition department collects data from satellites, optical fiber, vehicles, etc., and the analysis department performs integrated analysis. The road clearance department registers a preliminary plan, and the road clearance implementation plan is dynamically optimized based on the analysis results. The feasibility of achieving 24 / 48 / 72-hour targets is evaluated using reinforcement learning, and consideration is given to determining the transfer of authority, spatial optimization of bases and equipment, redundant communications, heavy equipment operation and robotics collaboration, training and performance learning, and conflict assessment through intellectual property investigations. Multi-hazard risks are quantified and weighted by priority, and a redundant network is formed in conjunction with the evaluation of bases such as roadside stations. Special equipment and sea and air transport are integrated, and abandoned vehicle removal and the automatic assembly of contracted companies are controlled, and emergency restoration plans are automatically generated along with alternative route selection.

The present invention discloses a microbial sewage treatment device, which relates to the technical field of sewage treatment, and includes a treatment tank, a microbial carrier bin, a rotating arm, a nozzle, a one-way valve assembly, a fixed bin, a piston, a pressurizing assembly, and an air conveying assembly, wherein the air conveying assembly is used to convey air into the fixed bin. The present invention provides a pressurizing assembly and a nozzle, and when the microbial carrier bin rotates, the pressurizing assembly pressurizes and conveys the microorganisms in the microbial carrier bin into the nozzle, and triggers the one-way valve assembly, and at the same time, the air conveying assembly conveys air into the fixed bin, so that the air and the microorganisms are conveyed from the one-way valve assembly to the mouth of the nozzle together, and the air enters the sewage to form small bubbles, and the small bubbles carry the microorganisms into the sewage, and the small bubbles are easily broken by the sewage pressure, so that the microorganisms can be dispersed in multiple areas below the sewage surface, thereby increasing the content of microorganisms in the unit volume of sewage and improving the sewage treatment efficiency.