7results about How to "Rich environment" patented technology

The invention relates to the technical field of unmanned aerial vehicle control, and discloses an unmanned aerial vehicle cluster control method based on artificial intelligence. According to the method, a preliminary flight path is generated, a laser radar, a camera and a temperature sensor are used for collecting surrounding environment information, collected data are cleaned and formatted, a Kalman filtering technology is used for integrating data from different unmanned aerial vehicles and sensors, and a deep learning algorithm is used for making a decision. Calculating an optimal flight path, calculating an obstacle avoidance path, a flight acceleration and a flight steering angle by applying an RRT planning algorithm according to environment data and unmanned aerial vehicle positions, designing a cluster control strategy based on collected and calculated data, ensuring cooperative work of the unmanned aerial vehicles, forming an effective cluster formation, and according to a decision-making result, determining the unmanned aerial vehicle position according to the decision-making result. And calculating speed, direction and height control instructions of each unmanned aerial vehicle, transmitting the control instructions to each unmanned aerial vehicle in real time, monitoring the execution condition of the unmanned aerial vehicle, and tracking the state of the unmanned aerial vehicle.

The present invention provides a method for removing the fetal membrane of a newborn piglet, the steps of which include: fixing the newborn piglet; breaking the fetal membrane from the neck or back of the newborn piglet to form a fetal membrane disconnection area; using the palm of a sheath worn on the hand to wipe the fetal membrane, the palm of the sheath has a rough part, the wiping direction is substantially perpendicular to the fetal membrane disconnection path, and the fetal membrane on the head of the newborn piglet is wiped first, and then the membrane on the body of the newborn piglet is wiped. The scheme of the present invention can not only quickly and smoothly remove the fetal membrane of the newborn piglet, but also for a newborn piglet completely wrapped in the fetal membrane, it only takes less than half a minute to remove the fetal membrane, and the operation process is simple, easy, and smooth, and there is no problem of the fetal membrane sticking to the hand.

The invention discloses an underwater pressure intelligent monitoring and feedback system for diving assistance, which relates to the technical field of diving and comprises an acquisition module, a microprocessor, a display module, an alarm module and a communication module, the acquisition module is used for acquiring underwater real-time data of the diving equipment during diving through a sensor, and the sensor is installed in the diving equipment; according to the underwater pressure intelligent monitoring and feedback system for diving assistance, a display module displays processed key parameters, an alarm module gives out a sound-light alarm under an abnormal condition to remind a diver to take measures, and a communication module sends state and position information to water surface monitoring equipment in real time; through multi-source data fusion and intelligent analysis, comprehensive and real-time safety monitoring and feedback are provided for divers, and the safety and reliability of diving activities are remarkably improved.

The invention relates to the technical field of high-voltage power transmission, in particular to a temperature and humidity detection method and system for an inflatable composite insulated cross arm, and the method comprises the steps: collecting the temperature and humidity data of a key part of the inflatable composite insulated cross arm through a temperature and humidity sensor; determining the environment state by analyzing the change rule of internal temperature and humidity data, and analyzing the influence of the environment state on the leakage current and the flashover voltage; analyzing, calculating and learning the received data through a GABP neural network; and presenting the data analyzed in real time and the predicted data to a user interface in the form of images. The method has the advantages that data can be utilized more effectively through a network structure in which the GABP neural network is combined with the genetic algorithm, the sensor can provide more comprehensive environment and equipment state information through the multifunctional integrated sensor, and the monitoring accuracy and reliability are improved.

The application provides a kind of fast recovery diode operating reliability test method and system, it is related to circuit test technical field, the method comprises: fast recovery diode is set on experiment table, setting test environment parameter, and setting the frequency data of test power supply;Further setting test power supply, and the test voltage data of test resistance both ends is acquired, further determines reliability variation index, and determines reliability test result according to the reliability variation index of multiple test periods.According to the application, the test authenticity and accuracy can be improved by simulating complex working conditions through periodically changing test environment parameters, and the reference value of test results can be improved.Based on the dynamic adjustment of test environment, the workload of fast recovery diode is improved, and the test accuracy is improved.The reliability variation index of each test period can also be calculated to accurately know the performance change and reliability decline range of fast recovery diode, which provides an important basis for determining the reliability of fast recovery diode.

The invention discloses a microbial compound fertilizer and a preparation method thereof, and relates to the technical field of organic fertilizers. The microbial compound fertilizer comprises the following raw materials in parts by mass: 35-55 parts of an inorganic fertilizer matrix; 30-45 parts of a modified organic carrier; 2-8 parts of a compound microbial agent; and 3-6 parts of a medium trace element additive. Through a modified carrier thought of'enzymolysis fermentation plant source organic matter + mineral source potassium fulvic acid + specific plant growth promoter ', the organic part is easier to use, and the carrier has more perfect water and fertilizer retention and buffer environment, so that the problems of slow decomposition, mismatched fertilizer supply, weak water and fertilizer retention and the like of the traditional carrier are solved.

The present invention belongs to the field of functional electrolyte technology, and specifically relates to a laminated composite electrolyte with interface optimization function. Compared with conventional alkoxysilane coupling agents, the acrylamide-based silane coupling agent used can not only play the role of coupling agents in connecting organic / inorganic interfaces, but also utilize the multiple hydrogen bonds of acrylamide groups to improve the environment of lithium ions and improve the conductivity of electrolytes. In addition, the acyloxy group in the acrylamide group has a strong lithium affinity, which can regulate the diffusion behavior of lithium ions on the surface of lithium negative electrodes, uniformly deposit / dissolve lithium, and further enhance the stability of the electrode / electrolyte interface. The above chemical reactions, combined with the flexible physical properties of the organic components on both sides of the laminated electrolyte, can effectively improve the rigid interface problem existing in the solid-state battery system. The method is simple and easy to implement, and has low cost, and is suitable for large-scale production and application.