5results about How to "Strong industrial application value" patented technology

The invention relates to the technical field of automobile seats, and provides an automobile seat partition rapid temperature control and fatigue awakening device and method. The device sequentially comprises a coating layer, a flexible soaking layer, a thermoelectric module array, a micro-channel liquid cooling plate, a heat insulation supporting layer, a sponge substrate, a pressure sensor array, a temperature sensor array, a control unit, a liquid cooling circulating pump and an air conditioner heat exchanger. The thermoelectric module array at least comprises two semiconductor thermoelectric modules which are respectively arranged in the cushion area and the neck area; the control unit controls the corresponding semiconductor thermoelectric module and the liquid cooling circulating pump to perform top-speed heating or top-speed cooling; and when a fatigue state signal of the vehicle-mounted DMS system is received, the semiconductor thermoelectric module at the neck is controlled to output high-frequency pulse current so as to generate rapid temperature difference jump. The thermoelectric module is coupled with an air conditioner liquid cooling loop through the micro-channel liquid cooling plate, the heat dissipation bottleneck of a traditional semiconductor seat is solved, and dynamic temperature control of each partition is achieved by generating a body pressure cloud picture.

The invention discloses a five-axis forming grinding error compensation method for a parabola short-section tooth profile of a harmonic reducer, and particularly relates to the technical field of harmonic reducer manufacturing, which comprises the following steps: S1, constructing a multi-source error coupling model including a machine tool kinematics error, a thermal-mechanical coupling error and the like to obtain a total error transfer formula; s2, various kinds of error related data in the grinding process are collected in real time through a multi-sensor array; s3, a tool path is adjusted based on the tooth profile curvature change rate, and tool interference is avoided through an interference pre-judgment algorithm; and S4, fusing data by adopting Kalman filtering to realize closed-loop compensation control. According to the method, the problems of multi-source error superposition, single compensation and easy interference in the prior art are solved, the tooth profile precision is stably controlled within 3 microns, the machining efficiency and stability are improved, existing equipment does not need to be transformed, the implementation difficulty is low, compatibility is high, industrial popularization is facilitated, and the method is suitable for tooth profile grinding machining of the harmonic reducer for the industrial robot joint.

The application provides a 700MPa high-strength hot-rolled steel, a preparation method and application, the chemical components of the 700MPa high-strength hot-rolled steel include the following in mass fraction: C 0.06~0.09%, Si 0.05~0.15%, Mn 1.8~2.0%, Ti 0.11~0.145%, Cr 0.1~0.2%, Nb 0.04~0.05%, V 0.01~0.02%, P≤0.015%, S≤0.002%, N≤0.005% and the balance of Fe and inevitable impurity elements; the thickness of the 700MPa high-strength hot-rolled steel is 8.99~13.99mm. The preparation method is simple, convenient to operate, does not need to add special equipment, can be adapted to the existing hot-rolling production line, is convenient for large-scale production and has strong industrial application value.

A method for extracting triples from knowledge graphs in the mining industry based on ontology constraints and thought chain principles is proposed. The method constructs a highly complete mining domain ontology, acquires and preprocesses unstructured text data sources from the mining domain, and then constructs structured prompts containing ontology constraint information and thought chain reasoning instructions, transforming the triple extraction task into a constrained generative reasoning process. The structured prompts are input into a generative large language model. After receiving the input, the model, relying on its self-attention mechanism and pre-trained knowledge, strictly follows the pre-defined thought chain paths in the structured prompts to conduct reasoning. The output of the generative large language model is parsed using a parsing algorithm, separating the thought chain part and the final result part of the model output. Triple data structures are extracted from the final result part to form a candidate triple list, followed by ontology-based post-processing verification and optimization. This method enables efficient, accurate, and standardized extraction of knowledge in the mining domain.

The embodiment of the invention provides a lithium battery positive and negative pole piece measurement method and system based on X-ray image analysis. The method comprises the following steps: extracting a region of interest containing a positive and negative pole piece layer structure from an original X-ray image of a lithium battery; performing image segmentation on the region of interest to obtain a binary image; performing linear edge detection on the binary image by adopting an expansion difference method so as to enhance the edge gradient in the vertical direction and detect the edge with unobvious gradient caused by multi-layer superposition; linear position information is extracted based on an edge detection result, and the actual distance between the positive and negative pole pieces is calculated by combining the pixel and actual size correspondence. According to the method, the detection efficiency is effectively improved by automatically extracting the region of interest, the problem of multilayer structure edge detection is solved by using an expanded difference method, distance measurement is realized by combining precise coordinate conversion, the detection precision and reliability are improved, automatic high-precision measurement of the distance between the positive pole piece and the negative pole piece of the lithium battery is realized, and the detection efficiency is improved. And an effective technical means is provided for lithium battery production quality detection.