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The invention discloses a humanoid robot action training method based on wearable limb action recognition, and relates to the technical field of artificial intelligence. A whole body dynamic capturing device based on an MEMS is utilized, an action training engineer wears the whole body dynamic capturing device based on the MEMS, wireless connection with a humanoid robot is established, and all action data of the action training engineer are obtained; all the captured action data are transmitted to a joint control system lower computer of the humanoid robot in real time, and the joint rotation action data drive all joints to move; and the joint control system stores the action data to an action database, and performs action data training by using a large language model (LLM) to obtain a motor nerve center system of the humanoid robot. According to the method, the action data acquisition efficiency is improved, the acquisition cost is reduced, a massive action database better conforming to ergonomics is obtained, a humanoid robot movement nerve center system is trained in combination with a large model, and various subdivision application scene databases are formed. And the humanoid robot can serve human beings in various fields earlier and faster.

The invention provides a method for rapidly detecting microbial species, and particularly, the method comprises the following steps: constructing a double-level database and a corresponding gene cluster; constructing a reference matrix X based on the database and the gene cluster; comparing to-be-detected third-generation sequencing data with the gene cluster to generate equivalence classes, and constructing a counting matrix Y based on the equivalence classes and the gene cluster; based on the counting matrix Y and the reference matrix X, determining the gene abundance in the to-be-detected sample; and determining microbial species in the sample to be detected based on the gene abundance. The rapid pathogen detection method provided by the invention is high in analysis speed, fully utilizes the advantages of the three-generation sequencing data, and can more directly obtain the microorganism composition information of the sample; the method is low in computing resource demand, easy to deploy and high in precision detection capability.

The present invention discloses a method for measuring the vertical electron density of the ionosphere. The first step is to output n T values ​​of the meteor trail communication device within a time period T. p (t). In “T p (t) and V P (t) According to each T in the corresponding table p (t) Numerical query V P (t) value; the duration T of measuring the received signal strength P of the meteor trail p (t), and the vertical electron density of the ionosphere outside the meteor trail area, that is, the vertical electron density of the background ionosphere of the meteor trail is called V(t); the average value V of the vertical electron density of the background ionosphere in the meteor trail area within the period T is obtained; dV(t) and f(T P (t)); f(T P (t)) is the average of V(t) in the T period as the background ionosphere vertical electron density V in the area during the period. Ionosphere monitoring based on GNSS signals uses an inversion algorithm to calculate the electron density of each layer of the ionosphere. The obtained meteor trail background ionosphere vertical electron density V is more accurate, and the revelation of the ionosphere activity law in the area is more real and powerful. It can be widely used in the fields of improving satellite navigation accuracy, improving satellite communication performance and fast frequency selection of shortwave communications.

The utility model discloses a soap box which comprises a box body and a soap outlet mechanism arranged on the base shell to push the soap in the box body. The utility model belongs to the technical field of daily miscellaneous goods and specifically relates to a soap box which optimizes the taking path and operation mode of soap, and users do not need to perform complicated actions such as uncapping and overturning, the rationality of the storage function is considered in the structure, and the soap can be stably and orderly stored.

The utility model provides detection equipment for soil VOCs, and relates to the technical field of VOCs detection, and the detection equipment comprises a first shell, a second shell, an insertion assembly, a VOCs detector, a vacuum pump and a battery piece. The first shell is provided with a battery cavity, a working cavity and an air inlet cavity, and the second shell comprises an air inlet pipe; the insertion assembly comprises a butt joint pipe, a connecting ring and a plurality of insertion cone structures, the butt joint pipe is connected with the air inlet pipe, the air inlet pipe is sleeved with the connecting ring, each insertion cone structure comprises an insertion piece, a first elastic piece and a first connecting piece, one end of each insertion piece is rotationally connected with the air inlet pipe, and the first elastic pieces are connected with the insertion pieces and the butt joint pipe; the first connecting piece is connected with the inserting piece and the connecting ring. The air inlet end of the vacuum pump communicates with the air inlet cavity, the air outlet end of the vacuum pump communicates with the VOCs detector, and the battery piece is electrically connected with the VOCs detector and the vacuum pump. The detection equipment for the VOCs in the soil, disclosed by the invention, can be used for directly and quickly detecting the VOCs in the soil.