5results about How to "Overcome space" patented technology

The invention provides an engine anti-theft function test method and system, equipment and a storage medium, and belongs to the technical field of vehicle test. The test method comprises the following steps: controlling a key to move in a corresponding three-dimensional test space according to a preset test space range, and triggering an authentication process of an anti-theft function; synchronously acquiring spatial position sampling data of the key and an authentication result of the anti-theft function, and generating a training data set; the training data set is input into a preset machine learning model for training, a prediction model of the triggering probability of the engine anti-theft function is obtained, and the prediction model takes the spatial position information of the key as input and takes the probability that the engine anti-theft function is successfully triggered as output; and based on the prediction model, generating a three-dimensional function boundary representing the reliable triggering area of the anti-theft function of the engine. According to the method, automation of the testing process and comprehensive coverage of the three-dimensional space are achieved, the visual three-dimensional function boundary is generated through the machine learning model, and the testing efficiency and reliability are improved.

The embodiment of the utility model provides a digital-to-analog conversion circuit, a controller and electronic equipment, and belongs to the technical field of programmable logic controllers. The circuit comprises a control module for generating a device control signal for controlling an external device. And the digital-to-analog conversion module is connected with the control module and is used for converting the equipment control signal from a digital signal to an analog voltage signal. And the voltage signal output module is used for outputting an analog voltage signal to external equipment. The voltage and current conversion module is connected with the control module, the control module is used for controlling the voltage and current conversion module to be in a module starting state, the voltage and current conversion module is connected with the digital-to-analog conversion module, and the voltage and current conversion module is used for converting an analog voltage signal into an analog current signal according to the module starting state. And the current signal output module is used for outputting an analog current signal to external equipment. According to the embodiment of the invention, the complexity of the digital-to-analog conversion circuit can be reduced, and selectable voltage or current analog signal output can be realized through a simple circuit structure.

This invention discloses a method for optimizing the allocation of urban street green space resources based on lidar, relating to the field of urban planning and management. The method includes: acquiring lidar point cloud data of a target urban street area, preprocessing and classifying it, and extracting vegetation point clouds representing street trees; calculating shape parameters reflecting the external characteristics of street trees, and quantity parameters reflecting the volume and visual greenness of the green space; constructing a comprehensive greening index reflecting the combined relationship between the shape and quantity parameters, and determining key thresholds for matching the shape and quantity parameters through a piecewise linear regression model; and based on the key thresholds, classifying each street within the target urban street area into different types, generating corresponding green space resource optimization allocation strategies. This method achieves collaborative analysis of the shape and quantity indicators of urban street greening, and, based on objective thresholds, classifies them to generate differentiated and human-centered green space resource optimization allocation strategies.

The invention belongs to the technical field of medical nursing equipment, particularly relates to a gastrointestinal surgery postoperative bedridden nursing device, and aims to solve the problems that an existing nursing device is single in body position adjustment, insufficient in getting-up assistance, easy to pull an infusion tube and limited in nursing space, and the following scheme is provided: the nursing device comprises a nursing bed body and two first armrests; the number of the backrests is two, and the two backrests are connected to the nursing bed body and are symmetrically distributed with the longitudinal central axis of the top of the nursing bed body as the center; the gastrointestinal surgery postoperative bedridden nursing device effectively overcomes the defects that in the prior art, body position adjustment is single, getting-up assistance is insufficient, an infusion tube is easy to pull and nursing space is limited, and through multi-module collaborative innovation, the gastrointestinal surgery postoperative bedridden nursing device which is accurate in adaptation, safe, reliable, convenient to operate and wide in adaptability is provided. Omnibearing guarantee is provided for postoperative rehabilitation of the patient, and high practical value and popularization prospects are achieved.

The invention relates to the technical field of high polymer material injection molding and automatic control, in particular to an intelligent injection molding parameter regulation and control system for an injection molding machine, which comprises a rheological digital twinning and feed-forward resolving unit, a wavefront position prediction unit and a control unit, the transient pulsation instruction generation unit is used for analyzing the wavefront position prediction information and superposing a high-frequency micro-amplitude pulsation instruction into the macroscopic injection speed instruction; the high-frequency shearing thermal injection and physical phase change unit is used for reducing the partial melt viscosity of the wavefront based on the high-frequency micro-amplitude pulsation instruction; the energy decoupling and state recovery unit is used for monitoring the execution state of the high-frequency micro-amplitude pulse instruction, so that the polymer melt is recovered to a high-viscosity state and is cooled and solidified; the self-adaptive regulation and control and optimization unit is used for quantifying the fine structure filling rate of the fine structure region and optimizing the transient pulsation generation strategy according to the wave-front speed fluctuation variance; according to the method, the robustness of complete recarving and long-term continuous production of the fine structure is ensured.