8results about How to "Save hardware resources" patented technology

The application discloses a parking control method, device, automatic parking auxiliary controller, terminal and system. The parking control method is applied to an automatic parking auxiliary (APA) controller and includes the following steps: determining parking space information according to images collected by multiple cameras arranged on a vehicle; sending the parking space information, radar data and an electronic map constructed according to the images to a terminal, so that the terminal generates parking control information according to the parking space information, the radar data and the electronic map; and controlling the vehicle to park in a target parking space according to the parking control information. The technical scheme saves the hardware resources of the vehicle and improves the user experience by sending the parking space information, the radar data and the electronic map to the terminal through the APA controller, generating the parking control information in the terminal and returning the parking control information to the APA controller, so that the APA controller controls the vehicle to park in the target parking space according to the parking control information.

The application discloses an AM transmitting signal modulation depth calibration method and device, and relates to the technical field of communication. The method comprises the following steps: initializing and configuring an AM transmitting link according to a control signal sent by an AM detection control link to obtain an initial AM amplitude modulation signal; performing signal conversion on the initial AM amplitude modulation signal to obtain an AM envelope digital signal, and performing preliminary AM carrier signal and modulation signal amplitude calibration according to the AM envelope digital signal to obtain a preliminary amplitude calibration result; generating a control signal of the AM transmitting link, traversing a working frequency range of the AM transmitting link according to the control signal of the AM transmitting link, and performing S2 to complete the AM modulation depth calibration point by point. The application can make the modulation depth of the AM transmitting signal meet the corresponding standard requirements, thereby improving the transmission quality and power utilization rate of the AM transmitting signal and ensuring the signal transmission efficiency.

The present application relates to the technical field of air quality monitoring, and aims at the problems of difficult air organic acid gas perception, high monitoring cost and difficult hardware deployment for museum users, and provides a kind of organic acid visual three-dimensional diffusion simulation method and system, current environmental parameters are collected and filtered, improved multi-parameter lookup table method and trapezoidal numerical integration method are innovatively used to calculate the cumulative corrosion exposure of the week, and the cultural relic health index is calculated;Finally, the cultural relic health index and the cumulative corrosion exposure of the week are jointly mapped into the corrosion risk level, the organic acid corrosion risk level heat map is generated through the three-dimensional simulation engine, and the adjustment mechanism is triggered.Compared with the prior art, the present application reduces the cost of organic acid gas monitoring, while improving the visualization degree of organic acid monitoring and cultural relic health degree evaluation, and is suitable for museum whole exhibition hall, bronze exhibit cabinet, painting warehouse and other scenes.

The application discloses a low-bit matrix calculation device with a floating-point scaling factor and a calculation method thereof. The device comprises a scaling factor processing module, an input module, a matrix calculation module, a floating-point accumulation module and an output module. The method first groups and quantizes weight and eigenvalue matrices to obtain quantization values and floating-point scaling factors; then, the scaling factor product is calculated in advance with a single accumulation length as a grouping unit; then, matrix multiplication and accumulation operation is performed, the result is multiplied by the scaling factor product after being converted into an fp16 or bfp16 format, and then accumulated into a final result; and finally, the result is output after being dequantized. The application simplifies the group-wise calculation process, saves hardware resources, guarantees calculation accuracy, meets different scene requirements and improves calculation efficiency by sharing the scaling factor product and using fp16 or bfp16 as an accumulator.

This invention discloses a vehicle control method, device, automatic parking assist controller, terminal, and system. The vehicle control method, applied to an automatic parking assist (APA) controller, includes: sending images and camera calibration data collected by multiple cameras installed on the vehicle to a terminal, enabling the terminal to determine parking space information and construct an electronic map based on the images and camera calibration data; receiving parking space information and electronic map information returned by the terminal; determining a parking trajectory based on the parking space information, electronic map information, and radar data; and controlling the vehicle to park in the target parking space according to the parking trajectory. This technical solution, through the APA controller sending images and camera calibration data to the terminal, where the parking space information is determined and an electronic map is constructed, and then the terminal returning the parking space information and electronic map information to the APA controller, enables the APA controller to determine the parking trajectory and control the vehicle to park in the target parking space according to the parking trajectory, thus saving vehicle hardware resources.

This application provides a training method, apparatus, and electronic device for a multi-task risk prediction model. For predicting the probability of an event occurring at different time periods, the core of the multi-task risk prediction model provided in this application includes two layers: a general information extraction layer and a specific information extraction layer. The specific information extraction layer includes several expert networks corresponding to different prediction period nodes. Using the embodiments of this application, risk probability prediction for different prediction period nodes can be achieved without creating multiple independent models, effectively saving the hardware resources required for the prediction model. Furthermore, by penalizing the target loss function with a group constraint loss function, the multi-task risk prediction model trained based on this target loss function can accurately identify the group distribution of the input data, thereby outputting risk prediction results that conform to the group distribution, thus ensuring the accuracy and stability of the prediction results.

The utility model discloses a kind of RS485 charging control systems, including 485 controller, 485 controller includes power supply end+12V, ground terminal GND, signal end A and signal end B, the power supply end+12V of 485 controller is connected with the power supply end+12V of lithium battery motor through network cable, the ground terminal GND of 485 controller is connected with the ground terminal GND of lithium battery motor through network cable, the signal end A of 485 controller is connected with the signal end A of lithium battery motor through network cable, the signal end B of 485 controller is connected with the signal end B of lithium battery motor through network cable.This one-to-many charging mode, single wire (network cable) can complete communication+power supply / charging mode, and multiple curtain motors are connected to master control device through a network cable and communicate the power of multiple curtain motors through network cable, and the master control carries RS485 communication protocol to monitor the power of curtain motor through network cable, when the power of certain curtain motor is less than charging threshold value, communication control power shortage curtain motor starts charging, and hardware resources are saved.

This application discloses a tunnel encapsulation table resource management method, a DPU, and related devices. The method includes: a processor receiving a first packet sent by the network side, the first packet including a first message; matching the flow table according to the first message; if no hardware flow table is matched, forwarding the first packet to a virtual switch to perform software forwarding of the first message; the virtual switch editing and encapsulating the first message into a tunnel message, calculating the first port number of the outgoing port of the first message, and generating a downlink tunnel encapsulation precise flow table and a tunnel encapsulation table; the downlink tunnel encapsulation precise flow table includes a first action field, the first action field including a first port number, a first encapsulation action, a first encapsulation index, and a first VNI extracted from the tunnel encapsulation table; writing 0 to the VNI field in the tunnel encapsulation table in the tunnel; and the processor unloading the tunnel encapsulation table corresponding to the encapsulation index and the downlink tunnel encapsulation precise flow table. Using this application embodiment can save hardware resources occupied by the tunnel encapsulation table.