449 results about "Rescue vehicle" patented technology

The invention relates to the technical field of intelligent traffic systems, and discloses a hard shoulder driving and variable speed limit cooperative control method and system.The method comprises the steps that traffic data are collected, and the traffic data comprise traffic information and speed limit values; according to the hard shoulder lane-borrowing driving motivation, the lane-borrowing safety condition and the emergency or rescue vehicle requirement of the networked autonomous vehicle, whether the networked autonomous vehicle can run through the hard shoulder lane or not is judged; inputting the collected traffic data into a pre-constructed DDPG algorithm to determine a state, an action space and a reward function of the DDPG algorithm, and outputting an optimal speed limit value; and the optimal speed limit value of each lane of the control road section is generated through a DDPG algorithm, and the network-connected automatic driving vehicle adjusts the vehicle speed according to the optimal speed limit value. The method can be used for highway entrance ramp sections with serious congestion, the average travel time and carbon dioxide emission of the road network can be reduced, and a new method is provided for efficient and low-carbon targets of smart highways in China.

The invention is applicable to the technical field of emergency rescue, and relates to an optimal path planning method based on a fire rescue road network directed graph, which comprises the following steps: reconstructing the road network directed graph according to a road priority principle by using multi-source data such as an open street map road network, road conditions, survey data, real-time road conditions and the like and fusing remote sensing image data; on the basis, based on a dynamic weight model, an optimal path planning algorithm based on a fire rescue road network directed graph is further constructed. The application of the method can effectively make up for the deficiency of online map path planning used in the existing research, so that the path planning better fits the path planning requirement in a real fire rescue scene, and the driving path of fire rescue can be accurately calculated, so that the path is more reasonably planned, and the efficiency of fire rescue is improved.

The invention belongs to the technical field of emergency rescue management, and discloses a multi-disaster-point emergency rescue scheduling method, which comprises the steps that a multi-disaster-point emergency rescue dynamic network is constructed according to real-time information of disaster-affected points, and the real-time information of the disaster-affected points comprises positions, disaster-affected time and emergency rescue decisions of the disaster-affected points; formulating an initial rescue path of each rescue vehicle in the multi-disaster-point emergency rescue dynamic network based on a preset constraint condition; and drawing a directed graph based on the formulated initial rescue path, and solving an optimal scheduling strategy of the multi-disaster-point emergency rescue dynamic network under the minimum number of vehicles in the directed graph based on a Hopcroft-Karp algorithm. According to the technical scheme of the invention, by constructing the multi-disaster-point emergency rescue'time-space-decision 'dynamic network, the problem of'minimum vehicle number' in the multi-disaster-point emergency rescue dynamic network can be solved.

The invention relates to the field of vehicle control, in particular to a vehicle rescue method and device and electronic equipment. According to the method, the in-vehicle call event is obtained, the traditional call layer-by-layer transfer process is simplified, and the rescue response is directly started. And positioning data and vehicle condition data of the target vehicle are synchronously obtained during response, so that the cloud can quickly and accurately judge the rescue type according to the vehicle condition, and information dispersion and communication delay are avoided. For example, vehicle condition data can visually present vehicle fault parts, and rescue strength is accurately matched. Furthermore, the vehicle is controlled to whistle and give an alarm, so that surrounding personnel are reminded to provide temporary assistance, and the rescue vehicle is assisted to be quickly positioned. In addition, positioning data and vehicle condition data are directly transmitted to the cloud end and are scheduled by the cloud end in a unified mode, department barriers are broken, and seamless joint of all links is achieved. The time consumed from calling to rescue dispatching is shortened, the probability of implementing rescue at the optimal rescue time is increased, and meanwhile the rescue efficiency and the success rate are improved.

The invention discloses a safe operation system and a safe operation method of a space-ground integrated rescue vehicle, which are used for the rescue vehicle working in a complex disaster environment and ensure stable and reliable two-way communication connection between the rescue vehicle and a command center by establishing an intelligent switching mechanism of a low-orbit satellite main link and a ground network standby link. Real-time transmission of key instructions and field information is guaranteed, and a foundation is laid for safe operation. Advanced risk early warning is achieved through a space-ground cooperation mechanism, dynamic decision making and path planning are carried out by integrating satellite information and local sensor data, and the global adaptive capacity of the rescue vehicle to the complex disaster environment is improved. Satellite pre-sensing information is combined with a local decision, and a pre-control instruction is generated to act on a drive-by-wire chassis, so that the rescue vehicle can smoothly deal with hidden or developmental risks in advance, and the driving safety and stability are improved.

The invention discloses a simulation method for urban flood emergency rescue path planning, and the method comprises the steps: carrying out the modeling of an urban road network based on an urban topographic map, rainfall data, existing water distribution and key position information; mIKE simulation software is used for establishing a hydrodynamic model to simulate the rainfall and flood spreading process of the city, and flood dynamic information, including the depth and flow velocity of the flood, at each position point in the flood disaster scene model is obtained; respectively constructing objective functions according to the shortest maximum time of arrival of the disaster relief point, the lowest driving risk of the rescue vehicle and the shortest total weighted rescue time; setting constraint conditions to ensure that all disaster relief points are covered, and preventing vehicles from being excessively distributed; based on the flood dynamic information, the objective function and the constraint condition, adopting an NSGA-II non-dominated sorting genetic algorithm to solve a Pareto solution set; and performing weighted analysis on a result in the Pareto solution set to obtain an optimal solution, and outputting an urban flood emergency rescue path plan.

The invention discloses a CVaR-based highway hazardous chemical vehicle accident rescue and evacuation path planning method, and belongs to the technical field of traffic safety and emergency. The path planning method comprises the following steps: acquiring dangerous chemical vehicle transportation accident occurrence points, rescue vehicle rescue points, accident vehicle placement points (evacuation destinations) and road network related parameters; the rescue stage is a path from a rescue exit point to an accident occurrence point of a rescue vehicle, comprehensively considers that the response time of the rescue vehicle is shortest, the efficiency is highest and an upper-layer rescue vehicle travel time shortest model is established, considers that a secondary accident is extremely easy to occur in a dangerous chemical vehicle transportation accident on a highway, and constructs a lower-layer model with the minimum secondary accident risk based on CvaR; a highway dangerous chemical vehicle accident rescue double-layer game planning model is formed; in the evacuation stage, a dangerous chemical substance accident vehicle is a path from an accident occurrence point to a vehicle placement point, the possibility of pollution caused by dangerous chemical substance leakage in the evacuation stage is considered, and an accident vehicle evacuation path planning model based on the CVaR dangerous chemical substance leakage risk is established. According to the highway hazardous chemical vehicle accident rescue and evacuation path planning method provided by the invention, the road traffic safety level and the emergency rescue efficiency can be improved, and smooth and orderly operation of highway traffic is ensured.

The invention provides a man-machine interaction method and system in an emergency scene. The method comprises the following steps: analyzing received multimedia information of a first-aid requester to obtain a first-aid situation perception model; according to the first-aid situation perception model, performing selection processing on a possible first-aid response strategy by using a deep reinforcement learning algorithm, and analyzing a relationship between a symptom and a possible cause of disease of the requester in combination with a medical knowledge map technology to generate a first-aid guidance scheme; based on the first-aid guidance scheme, performing real-time optimization processing on a rescue path through a traffic flow prediction algorithm, dynamically adjusting a driving route of a rescue vehicle in combination with road condition information collected by the Internet of Things technology, and generating an optimal rescue path and a latest rescue progress notification; and by using the optimal rescue path and the latest rescue progress notice, performing visualization processing on the first-aid operation process, and generating intuitive visual guidance. According to the technical scheme provided by the invention, the first-aid response speed, accuracy and effectiveness are remarkably improved.

An aquatic rescue vehicle formed by adding directional and speed controls to a watercraft along with an autonomous control system to guide the vehicle to specified waypoints is disclosed. The rescue vehicle includes search devices such as a radio direction finder (RDF) and an infrared sensor (or camera) to be used to narrow the search for an isolated person (IP). The rescue vehicle may be discharged from a larger watercraft or an airplane and autonomously set out on its rescue mission. The vehicle may first navigate to a designated waypoint near an IP, and then use signals gathered from the RDF and infrared sensor to finally locate, assist, and retrieve the IP. The vehicle also includes a self-righting mechanism so that the vehicle can complete its mission even under the most adverse conditions.

The present application relates to the technical field of intelligent traffic control, and particularly relates to a rescue emergency light linkage control method combined with a vehicle system, comprising: S1: environment perception, collecting road topological structure, potential congestion obstacle distribution, visibility level and vehicle density value in real time through the vehicle system of a rescue vehicle; S2: dynamic decision, generating an emergency light control instruction based on the output of S1; S3: multi-vehicle linkage, predicting a future path based on the position and historical trajectory of the rescue vehicle, and broadcasting a V2X instruction containing real-time coordinates, path vector and avoidance direction identifier to vehicles within a preset radius; S4: closed-loop execution, issuing the instruction of S2 to a light control unit, and capturing an actual flashing sequence through a camera for time domain matching verification, and triggering instruction retransmission when the matching degree is lower than a reliability threshold. The method not only improves traffic safety and rescue efficiency, but also enhances the intelligence and reliability of the system, and adapts to modern rescue needs.

The invention belongs to the field of intelligent traffic, discloses an emergency vehicle priority and queuing optimization cooperative control method, and solves the problem of cooperation of emergency priority and social vehicle dispersion at a peak-saturated intersection. The method comprises the following steps: constructing a road network model containing a center intersection and four peripheral intersections, and collecting multi-source traffic data; a data set is established after preprocessing, and an LSTM-Transform double-branch model is trained to predict queuing and emergency tracks; constructing an intelligent agent based on PPO, and combining segmented reward training; and deploying an output signal decision. According to the invention, emergency low delay is guaranteed, social vehicle queuing is optimized, peak intersection efficiency is improved, and the method is suitable for high-saturation scenes; according to the method, the social vehicle congestion is effectively relieved while the rescue vehicles are guaranteed to pass preferentially, and the overall operation efficiency and the emergency response capability of the intersection in the complex traffic environment are remarkably improved.

The invention discloses an expressway accident collaborative scheduling optimization method. The method comprises the following steps: S10, determining rescue vehicle configuration and a vehicle operation sequence of each accident point; s21, determining a problem optimization target and a constraint condition; s22, defining a set, parameters and decision variables related to the problem; s23, constructing a mathematical model; s31, coding design and evaluation of the solution; s32, designing a plurality of destruction operators; s33, designing a plurality of repair operators; and S34, designing a plurality of adaptive mechanisms. According to the method, a scheduling optimization model fusing multi-type accident characteristics and collaborative operation constraints is constructed by taking minimization of the overall accident response time as a core target, and the optimization model is solved by adopting an improved adaptive large neighborhood search algorithm.

The invention discloses a navigation method, device and equipment for a rescue scene and a computer program product. The method comprises the following steps: acquiring an initial path planning result and multi-dimensional path optimization information of a rescue vehicle; the initial path planning result is optimized according to the multi-dimensional path optimization information, and driving of the rescue vehicle is controlled according to the optimized path; real-time traffic information is obtained through V2X communication, so that auxiliary reminding information is generated, and whole-road-section auxiliary reminding is carried out; and when the navigation auxiliary condition is met, acquiring navigation auxiliary information through the intelligent wearable device so as to carry out auxiliary navigation on a special road section. According to the invention, path optimization is carried out by using the multi-dimensional path optimization information, and a more reasonable and efficient driving path is planned for the rescue vehicle. And external information is acquired by means of V2X communication, and all-road-section auxiliary reminding is carried out, so that the driving safety and the passing efficiency are improved. And navigation auxiliary information is provided through the intelligent wearable device in a special road section, so that the rescue capability in a complex scene is further improved.

The invention discloses an axle load calculation method for a multi-modular emergency vehicle, and the method comprises the steps: S1, inputting chassis parameters, and calculating the mass center position of a chassis; s2, inputting the size and the mass of each compartment body, and calculating the mass center position of each compartment body; s3, adjusting and determining the mounting position of each compartment body on the chassis, such as transverse arrangement or vertical arrangement, and recording the mass center position of each compartment body relative to the chassis; and S4, summarizing the mass of all the compartment bodies, calculating the total mass of the whole vehicle, calculating the mass center position of the whole vehicle, and calculating the total mass and the mass center position of the whole vehicle. According to the method, the axle load is calculated in real time before compartment loading, so that the influence of each compartment body on the mass center and the axle load of the whole vehicle can be known in time. According to a traditional loading mode, axle load calculation and adjustment often need to be carried out after installation is completed, so that time is consumed, and repeated disassembly and assembly are possibly caused. By means of the scheme, an operator can conduct adjustment according to the real-time calculation result before loading, follow-up reinstallation is avoided, and the loading efficiency is remarkably improved.

The invention provides a multi-source information fusion system and method for intelligent scheduling of road rescue. The method comprises the following steps: determining an optimal rescue path corresponding to each rescue service point; for an optimal rescue path corresponding to any rescue service point, acquiring a rescue return path corresponding to the optimal rescue path, and determining path traffic influence characteristics corresponding to each path section in the rescue return path according to rescue vehicle information of the rescue service point and path driving information of the rescue return path; acquiring a rescue service type, performing traffic influence prediction according to the rescue service type and the path traffic influence characteristics, and determining a secondary accident rate of a rescue return path; and according to the secondary accident rate, rescue service intelligent scheduling is carried out on the to-be-rescued vehicle, secondary accident rate prediction can be carried out according to the traffic influence condition of the rescue return path, intelligent scheduling of different rescue service points is carried out, and the secondary accident risk in the rescue process is reduced.

The invention provides an intelligent management system and management method for a rescue vehicle, and the system comprises a vehicle-mounted intelligent terminal which is used for obtaining the real-time data of the rescue vehicle, and the real-time data comprises the position data of the rescue vehicle and the stock data of materials in the vehicle; the management terminal is used for acquiring and analyzing a preset first-aid task to determine a task site and a material demand, and respectively matching the task site with the position data of each rescue carriage and the material demand with the stock data of each rescue carriage to obtain one or more rescue carriage distribution schemes of the first-aid task; and selecting and executing a rescue carriage distribution scheme. According to the scheme, the vehicle-mounted intelligent terminal and the management terminal are integrated, so that efficient management and optimal scheduling of real-time data of the rescue vehicle are realized, and each emergency task can be fully supported and guaranteed.

The invention discloses a comprehensive method for rapidly extinguishing a building fire, and relates to the technical field of urban fire fighting, and the method comprises the following specific steps: 1, building a fire headquarters, selecting a corresponding fire fighting scheme according to a fire state and a field condition, and implementing the scheme; 2, a fire rescue vehicle and firefighters are adopted for cooperative operation on a low-floor fire scene, and large-water-volume spraying full-coverage fire source type fire extinguishing operation is carried out; and thirdly, for a high-floor fire scene, an unmanned aerial vehicle set and firemen are adopted for cooperative operation, fire extinguishing operation is conducted in the mode that a large amount of water is sprayed to completely cover a fire source, unmanned aerial vehicles with the cargo capacity level of 300 kg are adopted, and the number of relay water conveying pipe carrying unmanned aerial vehicles is determined according to the position of a fire floor. According to the comprehensive method for rapidly putting out the building fire, a traditional low-efficiency fire extinguishing mode through a direct spraying pipe is thoroughly changed, particularly, firefighters manually put out fire, several persons carry one water pipe to put out fire cooperatively originally, and the freedom degree and safety of fire extinguishing operation of the firefighters are greatly improved.

The invention discloses an intelligent traffic emergency resource dynamic scheduling system based on flow prediction, which relates to the technical field of intelligent traffic scheduling and comprises a traffic data acquisition module, an integrated radar, a video monitor, a coil detector and a floating car GPS, 5G transmission, acquisition of traffic flow, vehicle speed and the like within 20ms and detection of abnormity within 3s; the traffic prediction module is used for predicting 1-4-hour traffic and updating parameters in 30 minutes based on 72-hour data and a fusion model; the emergency resource library module is used for storing rescue vehicle, personnel and material information and updating the state within one minute; the dynamic scheduling module is used for generating a scheme containing a route and arrival time within 30 seconds; the monitoring module is executed, resources are tracked, secondary scheduling is carried out when the deviation exceeds 10 minutes, and recording is carried out for more than 3 years. The traffic prediction accuracy and the resource matching degree are improved, the path is optimized, delay is reduced, cross-regional scheduling is supported, the emergency efficiency and the resource utilization rate are improved, and the accident influence is reduced.

The invention relates to the technical field of data archiving, in particular to an intelligent rescue carriage emergency record archiving system. The system comprises a rescue carriage pre-first-aid self-checking module, an emergency field checking and filing module, an on-transit emergency risk updating module and a department emergency task ending and filing module. Communication electric quantity corresponding to various types of intelligent medical equipment in the intelligent rescue carriage and data storage residual capacity corresponding to a data processing terminal can be obtained, and pre-first-aid self-inspection processing is carried out, so that the intelligent equipment complete rescue carriage is generated; intelligent medical equipment is started at a first-aid site to monitor emergency physiological information of a first-aid patient in real time, basic information of the patient and symptom information of the first-aid site are input for emergency checking and preliminary filing, and meanwhile emergency physiological update information corresponding to the patient is continuously monitored on the way for emergency risk update processing and emergency record automatic filing; and generating a patient archived electronic medical record of the emergency task. According to the invention, the information record in the medical first-aid process can be optimized.

The invention discloses a rescue equipment configuration method and system of an emergency rescue vehicle, and relates to the field of disaster emergency rescue. The method is applied to an emergency rescue platform and comprises the following steps: acquiring basic information of an emergency event; carrying out keyword extraction and standardization processing on the basic information of the emergency event to obtain a plurality of event attributes of the emergency event; inputting the plurality of event attributes into a preset emergency knowledge graph to obtain a plurality of associated attributes; generating a rescue equipment table of a plurality of associated attributes and a plurality of event attributes; and integrating the plurality of rescue equipment tables to obtain a rescue equipment configuration scheme of the emergency. By implementing the technical scheme provided by the invention, the problem that an existing rescue equipment list cannot provide a reasonable rescue equipment configuration scheme for a novel combined event is solved.

The invention discloses a rescue carriage stacked article counting method based on visual identification, a camera is installed above a drawer of a rescue carriage, the camera is used for acquiring a picture in the pulled drawer, and the method comprises the steps of image acquisition; preprocessing the image; detecting a medicine box target; calculating the stacking thickness of the medicines; carrying out lamination separation and counting: carrying out pixel-level segmentation on each layer of medicine boxes by adopting Mask R-CNN (Region Convolutional Neural Network) instance segmentation; a layer gap is optimized through corrosion expansion operation by means of morphological operation, and adjacent medicine boxes are separated; and carrying out weighted fusion on the detection frames for target detection, depth estimation and instance segmentation to obtain the number of fused drugs. According to the invention, the camera is used for collecting the images of the stacked medicines, the real-time dynamic counting of the stacked medicines is realized through the target detection algorithm and depth estimation, and the reliability of medicine management in an emergency scene is improved.

The utility model relates to the technical field of ad hoc network communication, in particular to an explosion-proof rescue ad hoc network topological structure based on a Mesh network. The ad hoc network topological structure comprises a vehicle-mounted end arranged on a rescue vehicle and a remote end arranged in a safe area. And the vehicle-mounted end is in communication connection with the remote end through a Mesh link. The vehicle-mounted terminal comprises an explosion-proof box, a first switch and a first Mesh module. The first switch is in communication connection with the first Mesh module, and the first switch and the first Mesh module are arranged in the explosion-proof box. The remote end at least comprises an upper computer and a second Mesh module; and the upper computer is in communication connection with the second Mesh module. The first Mesh module is in communication connection with the second Mesh module, so that a Mesh link is formed between a rescue vehicle located in a rescue operation area and an upper computer used for remote control, and the data transmission requirement and the communication distance requirement of wireless communication of rescue equipment executing blowout rescue tasks are met. Therefore, an operator can remotely operate the rescue vehicle to complete rescue operation through the upper computer.

The invention belongs to the field of aviation, and particularly relates to a near space ocean lifesaving method which comprises the following steps: receiving position information of a to-be-rescued person through a communication satellite; a space rescue platform located in a rescue circle is retrieved in a database, and the rescue circle is a circle with the position information of the rescue worker as the center and the projection distance of the rescue carrier as the radius; the position information is sent to a space rescue platform closest to the position information in the rescue circle through a communication satellite; the space rescue platform delivers the rescue carrier to the position of the position information of the person to be rescued; and the rescue carrier transports the rescue worker to a predetermined safety area.

The invention provides a vehicle electric quantity automatic rescue method, a server, a medium and a product, and relates to the technical field of vehicle automatic rescue. The method comprises the steps that after an electric quantity supply request of a to-be-rescued vehicle is received, to-be-charged information, vehicle information and target positioning information of the to-be-rescued vehicle are acquired; according to a user selection result, determining candidate stations of an automatic charging station, selecting a target station with the shortest actual driving route or duration from the candidate stations, and determining a dispatched automatic charging vehicle according to related information; when the automatic charging vehicle arrives at the target positioning information setting range, requesting to turn on a charging port switch from the user side, and meanwhile, controlling the automatic charging vehicle to scan the vehicle to be rescued to obtain a current visual image, and matching the current visual image with the vehicle overall image to plan a charging driving path; and the automatic charging vehicle is controlled to reach the safe charging area according to the path, and charging is started after electric connection is completed. By implementing the method, the rescue efficiency is improved, the manual scheduling cost is reduced, and high efficiency and intelligence of vehicle rescue service are finally realized.

The utility model discloses a road early warning device which comprises a vehicle body, a rotating frame is arranged on the upper surface of the vehicle body, an early warning structure is arranged on the rotating frame, the early warning structure comprises a display screen, a red and blue flashing lamp, an anti-fatigue laser lamp and a loudspeaker box, the two sides of the display screen are movably connected into the rotating frame, and the loudspeaker box is arranged on the rotating frame. The lower end of the display screen is connected with the loudspeaker box, the two sides of the display screen are connected with the red and blue flashing lamps, the upper end of the display screen is connected with the anti-fatigue laser lamp, two hydraulic rods are movably arranged on the upper surface of the vehicle body, and the two hydraulic rods are located on the two sides of the vehicle body respectively. One end of each hydraulic rod is movably connected to the upper surface of the vehicle body, the other ends of the two hydraulic rods are movably connected to the two side edges of the corresponding display screen, and the rescue vehicle has the advantages that the warning effect is achieved, and secondary injury to rescue workers can be avoided.

The utility model discloses a fire extinguishing device of an emergency rescue vehicle, which comprises a hoisting body and a fire extinguishing device, the hoisting body comprises a telescopic arm, the telescopic arm is provided with an outer pipe, a middle pipe and an inner pipe, the outer pipe, the middle pipe and the inner pipe are in sliding connection, the middle pipe can extend out of the outer pipe, and the inner pipe can extend out of the middle pipe; the connecting pipe is arranged in the inner pipe, the connecting pipe extends in the length direction of the inner pipe, and when the telescopic arm is lifted, the lower end of the connecting pipe is a first connector, and the upper end of the connecting pipe is a second connector; the water hose is used for conveying high-pressure fire extinguishing liquid, a first connector is arranged at the water outlet end of the water hose, and the first connector is connected with the first connector; and the fire extinguishing gun is used for outputting high-pressure fire extinguishing liquid, the water inlet end of the fire extinguishing gun is provided with a second connector, and the second connector is connected with the second connector. The fire extinguishing device is simple in structure, capable of being quickly mounted and dismounted, small in occupied space and suitable for fire extinguishing work of low-floor buildings.

The invention relates to the technical field of rescue vehicles, in particular to an intelligent multifunctional rescue vehicle which comprises an intelligent rescue vehicle base, a plurality of sets of rescue article storage units stacked up and down, a control unit, three sets of telescopic assemblies, double side plates, limiting assemblies and the like. The storage units are driven to be vertically and uniformly separated through the shear fork type cross pieces, so that multiple groups of materials are synchronously taken and used; when the first telescopic assembly operates, the second telescopic assembly is synchronously triggered, a first side plate is pushed to turn over to form screen type shielding, after resetting, the side plate covers the telescopic assemblies to achieve protection, a limiting assembly provides guidance for the storage unit through a stand column, a storage frame is provided with a drawing magnetic drawer, and stable and flexible taking and using are both considered. The third telescopic assembly enables the first side plate to drive the second side plate to be reversely and synchronously unfolded through gear meshing and connecting rod transmission, the shielding range is expanded, and folding does not occupy space.

The utility model discloses a railway vehicle braking system and a railway vehicle. A main pipe of the railway vehicle braking system is provided with a rescue entrance; the main pipe is communicated with an input port of the pressure valve; an output port of the pressure valve is communicated with an input port of the brake; the main pipe is communicated with an input port of the pedal valve, an output port of the pedal valve is communicated with an input port of the switch valve, and the output port of the switch valve and the rescue pressure regulating pipe can selectively convey fluid to a pressure regulating port of the pressure valve to regulate the pressure of the fluid flowing from the input port of the pressure valve to the output port of the pressure valve. The railway vehicle can be normally braked, and the braking force for normally braking the railway vehicle can be synchronously adjusted; rescue braking can be carried out on the railway vehicle, and the braking force for rescue braking of the railway vehicle can be synchronously adjusted; even if the pedal valve of the rail vehicle is operated by mistake, the rescue vehicle is not influenced to control the rail vehicle to carry out rescue driving or rescue braking.

The invention discloses an urban fire early warning reaction system based on the Internet of Things and edge computing, and relates to the technical field of urban fire rescue. The first edge computing node is responsible for extracting fire data and judging whether fire rescue power is sufficient or not, the fire range, position and level can be rapidly recognized, and therefore an accurate basis is provided for configuration of the rescue power; the edge computing node II can plan a fire rescue path and screen an optimal path according to the traffic data to ensure that the fire rescue force can reach the fire scene at the fastest speed; most importantly, the path with the highest smoothness coefficient can be identified by analyzing the road image and the predicted passing time, and weighted evaluation is carried out by combining the predicted passing time of each path section, so that the fire rescue path with the highest passing efficiency is selected, the real-time traffic condition of the road is considered, and the traffic efficiency of the fire rescue path is improved. The arrival time of the fire rescue force is optimized, and the rescue vehicle can arrive at the fire scene at the fastest speed.

The utility model relates to the technical field of auxiliary medical instruments, and discloses an expandable medical rescue carriage which comprises a carriage body, a connecting rod mechanism, a lifting box and two drawer mechanisms, each drawer mechanism comprises drawer boxes, and the two drawer boxes are symmetrically arranged on the upper portion in the carriage body and can slide out towards the two sides of the carriage body respectively. The lifting box is arranged in the middle of the vehicle body in a sliding mode, and more rescue articles can be placed on the premise that the overall transverse occupied space of the rescue vehicle is not increased through the lifting box and the drawer box; the cover plate is buckled on the top of the vehicle body, the rear end of the cover plate is rotatably connected with the top of the vehicle body, during use, the two drawer boxes slide out firstly, the cover plate is turned over to drive the lifting box to rise to the same height as the drawer boxes through the connecting rod mechanism and to be located between the two drawer boxes, and rescue articles can be clear at a glance and taken conveniently. And rescue can be carried out with time and labor.