9results about How to "Dynamic Adjustment" patented technology

The application provides a holiday emergency lane dynamic management and control method and system based on vehicle-road cloud cooperation, and belongs to the technical field of intelligent transportation, which comprises the following steps: collecting multi-source traffic data through a vehicle-mounted terminal and a roadside sensing communication module; fusing data by using a Kalman filtering algorithm by a cloud cooperative decision module, judging a congestion level based on real-time traffic state parameters and a three-level congestion threshold model, and judging emergency demand in combination with task information reported by an emergency vehicle; finally, generating a passing right regulation strategy dynamically based on the double dimensions of "congestion level + emergency demand", and automatically switching the state of the emergency lane and executing vehicle guidance through a traffic management and control execution module. The application realizes intelligent and dynamic switching of emergency lane resources between "social vehicle passing" and "emergency vehicle special use", relieves main road congestion when there is no emergency demand, and guarantees priority passing through a whole-process escort mechanism when there is emergency demand, thereby improving road resource utilization efficiency and emergency passing guarantee capacity.

The application relates to the technical field of new materials, and discloses a quasi-zero stiffness unit suitable for different tensile loads, a metamaterial vibration isolation structure and a design method, which comprise a first rigid side wall and a second rigid side wall, a positive stiffness unit is arranged in the center of the first rigid side wall, a negative stiffness unit is arranged at the opening of the top of the first rigid side wall, and one end of the second rigid side wall is connected with the vertex of the positive stiffness unit and extends upwards through the negative stiffness unit. The application realizes the regulation and control of the stiffness response of the structure under the action of different loads by parameterizing the design and multi-level combination of the tensile unit configuration and combining the interaction of the positive stiffness and the negative stiffness, the quasi-zero stiffness platform of the structure can be adjusted with the change of the tensile load, so that the stable low dynamic stiffness characteristics of the structure can be maintained within a wide load range, and then the adaptive regulation and control and flexible control of the low-frequency vibration isolation performance are realized.

The application provides a beam switching method, comprising: obtaining first quality information corresponding to a plurality of first beams respectively in a first time period, wherein the first quality information corresponding to the plurality of first beams respectively comprises first quality information sent by at least one user equipment (UE) to a first network node; determining first average channel quality corresponding to the plurality of first beams based on the first quality information corresponding to the plurality of first beams respectively; determining a first state vector based on the first average channel quality corresponding to the plurality of first beams and second average channel quality corresponding to a plurality of second beams in at least one second time period; the at least one second time period is before the first time period; and determining a beam switching threshold corresponding to at least one UE based on the first state vector. The method dynamically adjusts the beam switching threshold corresponding to the at least one UE, and ensures appropriate beam switching frequency.

The application discloses a high-resistant starch rice screening and identification and content detection method and system, and relates to the technical field of rice screening. The high-resistant starch rice screening and identification and content detection system comprises a rice screening and identification module and a rice content detection module. The application realizes non-destructive, high-throughput and high-precision comprehensive evaluation of the resistant starch of rice by constructing a multi-modal fusion screening system of starch metabolism fluctuation frequency analysis, three-dimensional seed twin modeling, virtual enzyme molecule diffusion simulation and bionic digestion dynamics school, can complete large-scale seed screening under the premise of not significantly increasing sample loss, and improves the ability to describe the dynamic behavior of starch metabolism by introducing frequency domain features and spatial topology analysis, so that the screening result not only reflects the static content difference, but also can represent the dynamic law of the formation process.

This invention discloses a decoding method, apparatus, module, and computer-readable storage medium. The decoding method includes obtaining an initial symbol period and calculating a sampling interval based on the initial symbol period. It involves sampling the transition edges of the encoded data within the sampling interval, calculating the actual symbol period based on the sampling interval, updating the value of the sampling interval based on the actual symbol period, and continuing to sample the transition edges of the encoded data within the updated sampling interval. Finally, it involves decoding the encoded data based on the sampling results. The decoding method, apparatus, module, and computer-readable storage medium of this invention can dynamically adjust the sampling interval for each symbol. For Manchester encoding affected by noise, even when the period is inaccurate or the duty cycle is not 50%, it can still successfully identify symbols, improving the decoding success rate.

The invention provides a three-mode rotating support operating under an electric arc wind tunnel condition and a using method thereof. The three-mode rotating support comprises a rotating disc, a rotating shaft, an electric rotating disc, an electric push-pull rod, a model support, a push-pull sliding ring and a supporting rod. The outer ring of the rotating disk is provided with three uniformly distributed mounting sheets, and each mounting sheet is provided with a model support through a rotating shaft. The electric rotating disc drives the rotating shaft and the rotating disc to rotate integrally, and sequential switching of the three models at the arc wind tunnel nozzle outlet checking station is achieved. The electric push-pull rod drives the push-pull slip ring to move axially and converts linear motion into pitching rotation of the model support through the supporting rod, so that the attack angle of the model is adjusted in real time during examination. According to the invention, continuous examination of three models can be completed in one vacuum-pumping period, dynamic change of the angle of attack in the test process is supported, and the efficiency and the data acquisition capability of the arc wind tunnel test are greatly improved.

According to the image processing method, the image processing device and the computer program product, the sliding window can be dynamically adjusted to accelerate the reasoning process of the deep learning model, and the image processing method, the image processing device and the computer program product are suitable for different reasoning tasks. In the image processing method, an inference task is executed on image data by using a trained deep learning model, and the image processing method is characterized by comprising a setting step of setting a plurality of sliding window parameters corresponding to the inference task; a planning step: generating a plurality of sliding windows for each sliding window parameter, obtaining a reasoning result based on the plurality of generated sliding windows, and determining an optimized sliding window parameter and a plurality of sliding windows corresponding to the optimized sliding window parameter from the plurality of sliding window parameters according to the reasoning result; and a reasoning step: based on the plurality of determined sliding windows corresponding to the optimized sliding window parameters, executing the reasoning task by using the deep learning model to obtain a reasoning result.

This utility model discloses a multi-way valve for a pre-pressure compensator, including a valve body and a drive assembly. The valve body has a main valve chamber inside, and a main valve core is located inside the main valve chamber. The main valve core can slide along the main valve chamber via the drive assembly. The valve body surface has ports P, T, A, and B, all of which are connected to the main valve chamber. A pressure compensator is also located inside the valve body. Port P is connected to the main valve chamber through the oil inlet of the pressure compensator, and port T is connected to the oil return of the pressure compensator. The main valve core slides to switch the connection states of ports P and T with ports A and B, achieving mechanical interlocking of oil circuit on / off. This utility model provides a multi-way valve for a pre-pressure compensator. The drive assembly moves and switches the valve core, cooperating with the pre-compensator to compensate for the pressure difference in the working circuit, thereby maintaining a constant pressure difference between ports P and T of the valve body.

The application relates to the technical field of tire life prediction, in particular to a tire life prediction method and system based on big data, which comprises the following steps: acquiring multi-source operation data and vehicle state information of a target tire, and a reference tire life database and sample characteristics corresponding to the target tire; cleaning and extracting features from the multi-source operation data to obtain a wear characteristic sequence and a load characteristic sequence of the target tire; and constructing a wear trend sequence and a load evaluation sequence of the target tire according to the reference tire life database, the wear characteristic sequence and the load characteristic sequence.The application can accurately predict the remaining life of the target tire through the collection and fusion of multi-source data and the combination of an attention mechanism, and can help to provide more accurate and personalized life prediction by analyzing the wear deviation and load overrun at different time nodes.