10results about How to "Avoid data transfer" patented technology

The invention relates to the technical field of electronic transformers, and discloses a passive wireless high-reliability electronic transformer data reporting method, system and device and a medium, and the method comprises the steps: employing different reporting strategies for different types of transformer nodes when the residual electric quantity is lower than a threshold value; and the timeliness of data reporting and the power consumption are effectively balanced. For a mutual inductor node undertaking a core parameter monitoring task, basic report data is sent at the lowest report frequency, stable transmission of core data is ensured, and excessive power consumption is avoided at the same time; and for non-core parameter monitoring task nodes, temperature, voltage and current data are sent at a preset reporting frequency, so that the electric quantity loss is further reduced while important data are reported. And through a mode of temporarily storing other collected data, unnecessary data transmission is avoided, and the use efficiency of the electric quantity is improved. The reliability and the stability of the system are improved.

This application discloses a storage system, a control method for the storage system, and an apparatus for the storage system, relating to the field of computer technology. The storage system includes a node scheduler and multiple processor nodes, each processor node including a processor core, a processor port, and candidate storage devices. The node scheduler is used to allocate a target processor node to a target request based on the received information of the target request and the target mapping relationship. The target processor core is used to determine the operation position of the target request based on the request information of the target request and to generate a target instruction based on the target request and the operation position. The target storage device is used to execute the target instruction and generate execution information of the target instruction. The target processor core is also used to update the metadata database based on the execution information and send the execution information to the sending interface. This application solves the technical problem of low response rate of the storage system to read and write requests, and achieves the technical effect of improving the response rate of the storage system to read and write requests.

The invention relates to the technical field of geological disaster emergency, and discloses a geological disaster emergency evacuation path intelligent planning system based on edge calculation. The system comprises a terrain monitoring layer, a risk assessment layer, a path deduction layer and an evacuation control layer. The terrain monitoring layer collects a multi-dimensional terrain data flow of a disaster area in real time through an edge computing node; the risk assessment layer fuses the historical catastrophe model and the multi-dimensional topographic data flow to carry out geological stability calculation, and generates a dynamic risk distribution map; the path deduction layer generates an initial evacuation path network through a self-adaptive optimization algorithm in combination with the dynamic risk distribution map and a preset evacuation constraint condition; and the evacuation control layer converts the initial evacuation path network into a navigation instruction set and drives terminal execution equipment to implement evacuation guidance. According to the system, the terrain change of a disaster area can be mastered in real time, the risk is accurately evaluated, an evacuation path fitting the reality is generated, personnel evacuation is effectively guided, and the efficiency and safety of emergency evacuation of geological disasters are improved.

The utility model discloses a temperature diagnosis system for a cable head, which comprises a current sensor, a wireless temperature sensor, an environment temperature sensor and a signal processing unit, the current sensor is arranged on a protection layer of the cable head to collect cable load current data, and the wireless temperature sensor is arranged at the position of the cable head to measure the temperature of a cable metal layer. The wireless temperature sensor is in signal connection with the current sensor, the current sensor sends a signal to the wireless temperature sensor to wake up the wireless temperature sensor to perform temperature measurement when detecting current abnormity, and the wireless temperature sensor is in a sleep state after sending temperature information to the signal processing unit; the environment temperature sensor is arranged on the outer surface of the cable to measure the current environment temperature, and the signal processing unit is connected with the wireless temperature sensor and the environment temperature sensor to compare the temperature detected by the wireless temperature sensor with the temperature detected by the environment temperature sensor. And when the temperature difference between the two exceeds a temperature threshold, an alarm is triggered.

One or more embodiments of the present specification provide a data processing method, system, device and storage medium, the method is applied to a computing platform; a user-defined function corresponding to a machine learning task is deployed in the computing platform; wherein the user-defined function contains initialization logic and data processing logic corresponding to the machine learning task; the method comprises: obtaining to-be-processed data corresponding to the machine learning task; calling the initialization logic in the user-defined function to obtain a machine learning model corresponding to the machine learning task stored in a storage platform connected to the computing platform; further calling the data processing logic in the user-defined function to use the machine learning model to process the to-be-processed data, and storing the data processing result to a database connected to the computing platform.

The invention belongs to the technical field of traffic monitoring, and particularly relates to a traffic monitoring method and a traffic monitoring system based on unmanned aerial vehicle image recognition, and the method comprises the steps: firstly, combining real-time traffic data, planning an optimal path through an A * algorithm, and carrying out the dynamic adjustment; then, an air monitoring network is formed by adopting a Mesh ad hoc network technology, elastic expansion and automatic position covering are supported, and a blind area is avoided; meanwhile, the state of the unmanned aerial vehicle is monitored in real time, automatic homeward voyage is achieved in low electric quantity, and a standby vehicle is dispatched to ensure stable image acquisition; based on this, the unmanned aerial vehicle cluster collaborative networking and dynamic position covering mechanism is adopted, and the regional priority resource allocation strategy is combined, so that the method has the advantages of realizing comprehensive monitoring of blind areas covered by traditional fixed equipment, such as suburban roads, urban and rural joint road sections, mountain roads and the like, and eliminating traffic monitoring blank areas.

The invention discloses a multi-focus image fusion and depth recovery method based on a Laplacian pyramid, and the method comprises a Laplacian pyramid construction module which is used for constructing a multilayer Laplacian pyramid expression for an input multi-focus image sequence {Ik} k = 1N (N is the number of images); the multi-focus image fusion module is used for fusing the images at different focus positions based on a fusion strategy of the Laplacian pyramid, and reconstructing a fused image through inverse transformation of the Laplacian pyramid; the focusing degree evaluation module is used for calculating the focusing degree of each image in the image sequence at each pixel position for depth estimation; and the depth recovery module is used for recovering the three-dimensional depth information of the scene based on the focusing degree evaluation result and the servo altimeter data.

The invention discloses a follow-up control method and device for a vehicle-mounted pantograph, a vehicle and a storage medium, and relates to the technical field of traffic transportation, and the method comprises the steps: obtaining the position information of a contact net line in contact with a target carbon contact strip in the pantograph; wherein the position information comprises triggering condition signals output by a preset number of proximity switches arranged on each target carbon sliding plate, the proximity switches are used for outputting corresponding triggering condition signals according to the sensing condition of the overhead line system, and the preset number is larger than or equal to 2; determining a transverse following rotation angle of the pantograph according to the position information; according to the transverse following rotation angle, a servo motor of the pantograph is controlled to rotate correspondingly; according to the invention, the proximity switch with lower cost and higher reliability is used as a sensor, so that the product cost of the pantograph can be reduced, and the reliability of follow-up control is enhanced; and a trigger condition signal of the proximity switch is used as control input, so that a complex data transmission process is avoided, and the complexity of the system is reduced.

The invention provides a global map construction method and device, equipment, a medium, a program product and a vehicle. The method comprises the following steps: inputting a current frame image of a multi-path camera arranged on acquisition equipment into a pre-trained road marking perception model to obtain first vector map data which is output by the road marking perception model and comprises a road marking instance; and generating a global map according to the first vector map data and historical vector map data corresponding to historical frame images of the multiple cameras. According to the method provided by the invention, the current frame images of the multiple cameras are fused into the integral map data through the end-to-end road marking perception model to obtain the first vector map data, so that data transmission and synchronous processing of the multiple cameras are avoided in the process of generating the global map based on the first vector map data; and the efficiency of constructing the global map is improved.

The application discloses a kind of cascade H bridge converter and parallel branch modulation method and pre-charging method thereof, on the basis of traditional cascade H bridge converter, and parallel branch is connected with the positive end and / or negative end of adjacent H bridge module capacitor;Positive parallel branch is connected to the positive end of capacitor, and negative parallel branch is connected to the negative end of capacitor;Parallel branch is composed of bidirectional switch.The application connects the positive and negative ends of each sub-module capacitor by parallel branch, realizes the balance of H bridge module capacitor in sequence by conducting parallel branch in the zero state of traditional cascade H bridge converter;The topology avoids the sampling of each module DC voltage, high-speed data transmission and high computational resource consumption capacitor voltage balancing control algorithm, with the advantages of simple circuit structure and control system, low cost, small size, good voltage-sharing effect, easy to expand, etc.