Abstract: A high-speed remote landslide simulation test device with a variable angle includes a support adjustment component, slide plates, and loose leaves. The device first transmits the operation paths of adjusting the slide plate at different angles to the controller, and the personnel operates the control panel to control the support jack, the motor, and the electromagnet to start and stop through the controller, the output shaft of the motor drives the stainless steel threaded rod to rotate, the controller first energizes one electromagnet and disconnects the other three electromagnets, which can only make the stainless steel threaded rod rotate in a fixed position inside the inner threaded pipe, and the three inner threaded pipes follow the rotation direction of the stainless steel threaded rod, thus, the position of the support jack can be moved separately.

Abstract: Provided is an intelligent safe vehicle speed measurement method and an system capable of considering a state of a road surface, including: a laser scanning unit configured to obtain road surface textures and simulate contact under different vehicle loads and tire patterns; a wireless communication unit configured to obtain the model, load and tire information of incoming vehicles, offer a best-matching braking distance by search through database; a skid resistance prediction unit configured to obtain environmental parameters to correct the obtained best-matching braking distance, and offer a safe speed for incoming vehicles; and a warning reminder unit configured to broadcast the safe running speed to incoming vehicles. This system communicates between the vehicle and road, obtains the information from incoming vehicles in real time, and broadcasts the safe speed to incoming vehicles, ensuring the safety of the incoming vehicle during running.

Abstract: The present disclosure provides a method and system for selecting an optimal edge computing node in an Internet of vehicle (IoV) environment. The method includes: acquiring and analyzing properties of computing tasks of a vehicle in the IoV environment; acquiring and analyzing properties of different edge computing nodes; computing matching degrees between the properties of the computing tasks and the properties of the nodes; analyzing computing demands of different tasks, and assigning weights to different types of matching degrees; and selecting a node having an optimal sum for products of the matching degrees and the weights as an optimal edge computing node to compute each of the computing tasks of the vehicle.

Abstract: A method for detecting a moisture damage on an asphalt pavement based on adaptive selection of a penetrating radar (GPR) image grayscale includes the following steps: step 1: obtaining a moisture damage GPR image dataset through asphalt pavement investigation by using a ground GPR, where a GPR image with an appropriate plot scale is selected according to an adaptive GPR image selection method; step 2: adjusting image resolution, specifically, scaling a resolution of an initial GPR image dataset of a damage directly to 224×224 to obtain a BD dataset; step 3: inputting the dataset into a recognition model, specifically, inputting the BD dataset obtained in step 2 into the recognition model, performing operation by the recognition model, and performing step 4; and step 4: outputting a moisture damage result. The new method truly realizes automatic and intelligent target detection based on the GPR.

Abstract: A model of a system of an intelligent vehicle is trained and optimized using system operation data of the intelligent vehicle in a normal running state. The system operation data of the intelligent vehicle in a running state is collected in real time. Sensor data of the system operation data is de-noised, and feature extraction and screening are performed for a fatal sensor fault to reconstruct the system operation data. The reconstructed system operation data is inputted into the trained model to output system state data of the intelligent vehicle in the running state. The system state data is compared with a set threshold. If the system state data exceeds the set threshold, an actuator corresponding to the system state data is determined to have a fault. In addition, a system for a fault diagnosis of the intelligent vehicle is further provided.

Abstract: The present disclosure discloses an air moisture collection device and method. The air moisture collection device comprises a shell, a condensing device, a water outlet pipe and a base, wherein the bottom of the shell is connected with the top of the base, an inner container is arranged in the shell, a water collecting bottle is arranged in the base, the bottom of the inner container communicates with the water collecting bottle through the water outlet pipe, and the water outlet pipe is provided with a water outlet pipe sealing valve; the condensing device is arranged between the shell and the inner container; an air inlet pipe, an exhaust pipe, a control device and an energy device are arranged on the side wall of the shell; and the control device and the energy device are both connected with the condensing device.

Abstract: The present invention discloses an H-3 silicon carbide PN-type radioisotopic battery and a manufacturing method therefor. The radioisotopic battery has a structure including, from bottom to top, an N-type ohmic contact electrode, an N-type highly doped SiC substrate, an N-type SiC epitaxial layer, and a P-type SiC epitaxial layer. A P-type SiC ohmic contact doped layer is disposed on a partial upper area of the P-type SiC epitaxial layer, a P-type ohmic contact electrode is disposed on top of the P-type SiC ohmic contact doped layer, a SiO2 passivation layer is disposed on an upper area of the P-type SiC epitaxial layer where the P-type ohmic contact doped layer is removed, and an H-3 radioisotope source is provided on the top of the SiO2 passivation layer.

Abstract: Disclosed is a method for power optimization of a terminal. The method includes that a user equipment (UE) detects an activation signal indicating a control signal to be sent after the activation signal and receives the control signal according to the activation signal. The UE is configured to enter a sleep state in response to determining that the activation signal is not detected or determining that no required control signal exists.

Abstract: A split air cabin ventilation system for construction of tunnel inclined shafts, including a first air cabin and a second air cabin which are both in a hollow closed structure with an air inlet end and an air outlet end respectively at both sides. The two air outlet ends are arranged away from each other. An end of the split air cabin is provided with an air inlet, and the other end is provided with an air outlet. The air inlet is connected to an air source, and the air outlet is connected to the air inlet ends of the first and second air cabins, respectively. The air inlet end of the first air cabin is connected to another air source.

Abstract: A device for sand sampling through a water method includes a sampling cylinder and a triaxial sampler, where the sampling cylinder includes a cylinder, two ends of the cylinder being hermetically provided with an upper sealing cover and a lower sealing cover separately, one ends, facing inside of the cylinder, of the upper sealing cover and the lower sealing cover being provided with water-permeable stones, one end, facing outside of the cylinder, of the upper sealing cover being connected to a control valve, and the control valve being in communication with the inside of the cylinder; and the sampling cylinder is arranged in the triaxial sampler when sand sampling is performed through a water method, a lower end of the triaxial sampler is provided with a test operation table, and an upper end of the triaxial sampler is nested inside a restraint ring.

Abstract: The present disclosure provides a method and system for selecting an optimal edge computing node in an Internet of vehicle (IoV) environment. The method includes: acquiring and analyzing properties of computing tasks of a vehicle in the IoV environment; acquiring and analyzing properties of different edge computing nodes; computing matching degrees between the properties of the computing tasks and the properties of the nodes; analyzing computing demands of different tasks, and assigning weights to different types of matching degrees; and selecting a node having an optimal sum for products of the matching degrees and the weights as an optimal edge computing node to compute each of the computing tasks of the vehicle.

Abstract: Provided is a method for berth allocation of a multiline bus station and speed guidance of buses. The intelligent control center sorts all buses between the current station and the previous station to form the BusNumber table, and performs speed guidance for all buses in the BusNumber table. Whether the guided bus can pass through the signalized intersection is determined. The buses that cannot pass through the signalized intersection are guided by acceleration, and those that cannot pass through the signalized intersection by acceleration guidance method update their speeds based on the phase state of signal light, so as to pass through the signalized intersection without stopping in most cases. All buses are conducted through speed guidance methods, and the berths are allocated for all the buses under different conditions.

Abstract: The present application relates to tunnel monitoring and measuring, more particularly, to a quick fixing device for measuring a tunnel peripheral convergence and an application method thereof. A right-angle steel sheet includes a first steel sheet and a second steel sheet which are vertically fixed with each other. The fastener vertically penetrates the first steel sheet, and an explosive powder loading portion on a rear end of the fastener is arranged at a side of the second steel sheet. The reinforcing steel sheet is respectively connected to the first steel sheet and the second steel sheet as a reinforcing bar. A through hole is provided on the reinforcing spacer, through which the reinforcing spacer is sleeved on the fastener. The reinforcing spacer is arranged between the explosive powder loading portion on the rear end of the fastener and the first steel sheet.

Abstract: A method for detecting a moisture damage on an asphalt pavement based on adaptive selection of a penetrating radar (GPR) image grayscale includes the following steps: step 1: obtaining a moisture damage GPR image dataset through asphalt pavement investigation by using a ground GPR, where a GPR image with an appropriate plot scale is selected according to an adaptive GPR image selection method; step 2: adjusting image resolution, specifically, scaling a resolution of an initial GPR image dataset of a damage directly to 224×224 to obtain a BD dataset; step 3: inputting the dataset into a recognition model, specifically, inputting the BD dataset obtained in step 2 into the recognition model, performing operation by the recognition model, and performing step 4; and step 4: outputting a moisture damage result. The new method truly realizes automatic and intelligent target detection based on the GPR.

Abstract: An active driving intervention system and method based on acceleration rate optimization. After acquiring a distance from a vehicle ahead and a velocity of a driving vehicle, an evenly varying optimal acceleration variation when the driving vehicle is rapidly accelerated or rapidly decelerated in a safe condition may be calculated, which can be used to assist an accelerator or a brake in active intervention of a vehicle acceleration and appropriate adjustment of the opening of an accelerator or brake pedal, thereby realizing active intervention on driving operation. The method and system of the present disclosure can achieve the purpose of reducing energy consumption.

Abstract: A method for constructing a prediction model of an auto trips quantity and a prediction method and system are disclosed. The prediction model construction method designs a deep neural network Multitask GCN-LSTM based on GCN and LSTM for predicting the auto trips quantity. The deep neural network comprises three modules, wherein the three modules are respectively used for extracting a spatial correlation, a temporal correlation and a feature fusion. The prediction method and system predict the auto trips quantity based on a model constructed. By considering a road segment local relationship and a road segment global relationship and taking an auto arrival quantity as a related task in constructing the model, the prediction model construction method uses a multi-task learning method to avoid overfitting of the deep neural network and reduce a prediction error of the auto trips quantity effectively.

Abstract: A method for adaptively selecting a ground penetrating radar (GPR) image for detecting a moisture damage is provided. The method adaptively selects the GPR image according to a contrast of the GPR image. The method includes the following steps: S1, reading pre-processed GPR data; S2, adjusting a resolution of a picture; S3, inputting a data set into a recognition model; S4, outputting a moisture damage result; S5, judging whether there is a detection target or not by using an initial random image data set; and S6, generating the GPR image randomly incrementally and selecting the GPR image with a proper contrast. A proper B-scan image is found effectively, quickly and automatically by combining a recognition algorithm and a deep learning model or an image classification model to achieve an automatic recognition and detection based on the GPR image and improving a recognition precision as well.

Abstract: A method for constructing a recognition model of a moisture damage of an asphalt pavement, and a method and system for recognizing the moisture damage of the asphalt pavement are provided. The method includes the following steps: S1, acquiring an initial dataset through a Ground Penetrating Radar (GPR) pavement field survey; S2, acquiring a time-frequency image set; S3, adjusting a resolution of a time-frequency image; and S4, constructing the recognition model and recognizing the moisture damage of the asphalt pavement with the recognition model. —A method and a system for recognizing the moisture damage of the asphalt pavement are further provided. The method for constructing and the method and the system for recognizing solves a technical problem of detecting the moisture damage of the asphalt pavement automatically to not only improving a precision of a moisture damage recognition, but also providing a novel method for analyzing GPR original data.

Abstract: The present disclosure provides geological linear body extraction method based on tensor voting coupled with Hough transformation, including pre-processing a remote sensing image to obtain a pre-processed remote sensing image; selecting three optimal wavebands from N multi-spectral wavebands of the pre-processed remote sensing image, so as to obtain a remote sensing image combined by the optimal wavebands, N being a natural number greater than or equal to 3; using Gaussian high-pass filtering to perform sharpening processing on the remote sensing image combined by the optimal wavebands, so as to enhance linearized edge information; performing edge detection on the remote sensing image having enhanced linearized edge information, so as to obtain all edge points in the remote sensing image; and converting all the edge points in the remote sensing image from an image coordinate system to a parameter coordinate system, and extracting a geological linear body from the parameter coordinate system.

Abstract: Provided are a system and a method for testing an ability of an automated vehicle to pass a traffic circle without traffic lights. The system includes an automated vehicle, a traffic circle, a control center, an attitude sensor and a panorama camera. In the method, the control center receives a test request and then sends a driving command to drive the automated vehicle to enter the traffic circle to start the test. The attitude sensor obtains a tilt angle and sends it to the control center in real time. The panorama camera is configured to obtain a driving trajectory, a driving speed and a state of turn signals of the automated vehicle. The obtained information is compared to a standard by the control center to evaluate the ability of the automated vehicle to pass the traffic circle without traffic lights.