274results about How to "Conducive to lightweight" patented technology

The invention discloses a method for realizing high-efficiency low-consumption micro-aerobic hydrolytic acidification of petrochemical wastewater by regulating and controlling the aeration rate in combination with a space-time diagram neural network and reinforced learning, and relates to a method for realizing high-efficiency low-consumption micro-aerobic hydrolytic acidification of petrochemical wastewater by regulating and controlling the aeration rate. The method comprises the following steps of: 1, collecting and cleaning data; 2, constructing a graph data set; 3, training the ST-GNN model; 4, constructing a deep Q reinforcement learning model; 5, the trained ST-GNN model is embedded into an automatic control system of a sewage treatment plant, and the model outputs the optimal aeration rate of the current time step and predicts the micro-aerobic hydrolytic acidification effect through interaction of the current working condition and historical data; and adjusting operation parameters of aeration equipment according to the output of the model, and carrying out hydrolytic acidification treatment. The method is high in regulation and control efficiency and low in operation error, and can be applied to the field of digital and intelligent management of sewage treatment plants.

The invention relates to the technical field of quality management, in particular to a real-time quality management method and system for a PVC pipe, and the method can be applied to quality management of the PVC pipe, especially real-time defect detection of a high-speed production line. The method comprises the following steps: firstly, acquiring a multi-modal data set of the PVC pipe in real time and preprocessing the multi-modal data set to obtain preprocessed data; secondly, constructing a deep learning model, extracting multi-scale features of the preprocessed data by using depth separable convolution and asymmetric convolution, and reducing parameters of the deep learning model; thirdly, fusing the extracted multi-scale features by using multi-modal fusion, and carrying out feature dimension reduction in combination with global mean pooling; then, training a deep learning model and evaluating the detection performance thereof; and finally, detecting and alarming the surface defects of the PVC pipe in real time. According to the method, the surface defects of the PVC pipe are detected based on the deep learning model, and the detection accuracy is ensured while the real-time performance of detection is improved.

The lightweight folding bed comprises a bed surface structure and a plurality of supporting structures arranged at the bottom of the bed surface structure in a self-locking manner, the bed surface structure comprises a fabric body and a bed surface pipe used for supporting the structural strength of the fabric body, the supporting structure comprises a transverse pipe and supporting leg assemblies arranged at the two ends of the transverse pipe in a hinged mode, and clamping pieces self-locked with the bed surface pipe are formed at the tops of the supporting leg assemblies; the supporting leg assembly comprises a supporting pipe and a leg pipe which are arranged on the transverse pipe in a hinged mode, the end of the supporting pipe is hinged to the middle of the leg pipe, a sliding piece for achieving folding of the supporting leg assembly is hinged to the end of the transverse pipe, and the leg pipe forms a lever structure facilitating deformation of the supporting leg assembly; compared with the prior art, by arranging the variable supporting assembly, when the supporting assembly receives the gravity, the clamping piece receives the tensioning force from the gravity and the fabric body at the same time, self-locking of the supporting assembly and the bed surface structure is achieved through the arrangement of the clamping piece, the whole structure tends to be tighter, and the use stability of the whole structure is ensured.

The invention discloses a lightweight mung bean drought stress identification method based on SGL-YOLOv8s. The method comprises the following steps: firstly, acquiring mung bean drought stress fluorescence image data, and labeling each image by using LabelImg software; performing preprocessing and data enhancement processing on the labeled picture, and then segmenting an image data set after data enhancement into a training set, a verification set and a test set; a YOLOv8s model is improved, an original backbone network is replaced with StarNet, C2fGLFF is introduced into a neck module, and common convolution is replaced with a lightweight LAWDS module; inputting the obtained mung bean drought stress picture into the improved YOLOv8s model for training, and obtaining a pre-trained SGL-YOLOv8s model; the method is used for detecting to-be-recognized mung bean drought stress pictures. The SGL-YOLOv8s model provided by the invention can be used for detecting mung bean fluorescence pictures of different drought stress levels, the parameter quantity and the floating-point number of the model are respectively reduced by 61% and 53%, and the lightweight of a model algorithm is realized.

The invention provides a near-electricity operation risk dynamic identification method fusing fine segmentation and binocular vision. The near-electricity operation risk dynamic identification method comprises the steps that a left view image, shot by a binocular camera, of substation near-electricity operation is acquired; initializing calibration parameters of the segmentation model, the binocular three-dimensional distance measurement model and the binocular camera; identifying and extracting key job elements in the left view image through a segmentation model, wherein a segmentation result comprises each detected instance and a two-dimensional position thereof; for each instance, the three-dimensional position of the instance in the space is predicted through a binocular three-dimensional ranging model, and the three-dimensional coordinates of the instance are obtained; according to the three-dimensional coordinates of each instance, the Euclidean distance between different key operation elements is calculated, and the minimum distance between the key operation elements is obtained; according to the invention, whether there is an operation risk is determined according to the minimum distance between different key operation elements, and the method has high distance measurement precision and real-time performance, and is helpful for improving the safety of near-electricity operation and the risk early warning capability.

The invention belongs to the technical field of spectrum detection, and particularly relates to a light LIBS (laser-induced breakdown spectroscopy) online detection device and method capable of automatically focusing, and the device sequentially comprises a photoelectric switch, a pre-detection system, a controller, a delayer, a pulse laser, a reflector, a zooming unit, an ellipsoidal reflector, a displacement adjusting table and a transmission diaphragm according to a control logic and a light propagation path, an optical fiber coupling unit, a spectrometer and a signal intensity detector. According to the telecentric lens imaging pre-detection system, zooming can be easily achieved in the mode that the zoom lens and the displacement adjusting table drive the ellipsoidal reflector and the optical fiber coupling unit to move synchronously, the telecentric lens imaging pre-detection system can adapt to objects of different heights and forms, the problem that the motion load is large in the zooming process is solved, light weight is achieved, and the imaging precision is improved through the telecentric lens imaging pre-detection system. The focusing range can be judged in advance without changing from the maximum focusing range to the minimum focusing range, so that the detection and analysis efficiency is improved.

The invention discloses an optical lens and electronic equipment. The optical lens sequentially comprises a first lens with negative focal power, a second lens with positive focal power, a third lens with negative focal power, a fourth lens with positive focal power, a fifth lens with focal power and a sixth lens with focal power from a first side to a second side along an optical axis, the optical lens satisfies the following conditions: 3.17 < = TTL / f < = 6.35 and-6.4 < = f3 / f4 < =-0.56. Wherein TTL is the distance from the first side surface of the first lens to the imaging surface of the optical lens on the optical axis, f is the total effective focal length of the optical lens, f3 is the effective focal length of the third lens, and f4 is the effective focal length of the fourth lens.

The invention discloses an image-based power equipment temperature monitoring method and system and electronic equipment, and the method comprises the steps: constructing a feature segmentation layer corresponding to a visible light image and an infrared image and a modal fusion layer corresponding to a preset resolution based on the preset resolution and gating fusion, constructing an image fusion model by using the feature segmentation layer, the modal fusion layer and the complexity parameter; acquiring historical power equipment temperature information corresponding to the historical visible light image and the infrared image set, inputting the visible light image feature set and the infrared image feature set into an image fusion model, and updating the image fusion model by taking the historical power equipment temperature information as output; and constructing an image temperature identification model by using the updated image fusion model and the feature extraction model. The method has the beneficial effects that the presentation degree of detail differences of the small regions is enhanced, the proportion of images with more information is ensured to be larger, information loss is avoided, and the accuracy of temperature monitoring of the power equipment is improved.

The invention relates to the technical field of high-value chemical recycling of waste plastics, in particular to a method for producing a high-value product through mixed catalytic cracking of waste plastics and heavy oil, which comprises the following steps: A) crushing the waste plastics, and carrying out anhydrous cleaning treatment to obtain clean waste plastic fragments; b) mixing the clean waste plastic fragments with a solvent in a liquefaction unit, and heating and liquefying to obtain waste plastic liquefied liquid; c) filtering the waste plastic liquefied liquid in a filtering unit; d) contacting the filtered filtrate with a fluidized catalyst in a catalytic cracking unit for catalytic cracking reaction to obtain an oil-gas mixture and a spent catalyst; e) performing product separation on the oil-gas mixture; heavy oil is recycled to the liquefaction unit; conveying the spent catalyst to a catalyst regeneration unit, and regenerating under an aerobic condition; the regenerated hot catalyst circularly enters the catalytic cracking unit. According to the invention, high-valued cyclic utilization of the waste plastics can be realized.

The invention discloses a hood design method, device and equipment and a storage medium, and relates to the technical field of vehicle design, and the hood design method comprises the steps of obtaining design parameter data, inputting a quadratic Bezier fitting carbon fiber curve model according to the design parameter data to obtain a fiber angle, and designing a hood according to the fiber angle to obtain a design result. And on the basis of a quadratic Bezier curve fitting fiber angle, a multi-objective algorithm optimization design is adopted, and hood lightweight and modal performance improvement are realized.

The utility model provides a waveguide display system. The waveguide display system comprises a light projection part used for emitting light of various angles or various polarization states; the carrier is provided with a coupling-out part, the coupling-out part comprises a plurality of coupling-out gratings, the plurality of coupling-out gratings are sequentially stacked in the direction far away from the carrier, different coupling-out gratings are used for receiving light in different polarization states or different angles, and the diffraction angles of the different coupling-out gratings are different. Therefore, the plurality of coupling-out gratings can couple light out of the carrier at different angles to form a plurality of image areas. The waveguide display system solves the problem that the waveguide display system in the prior art is difficult to display a plurality of images respectively under the same visual angle.

The invention discloses a cutting chain type transverse shaft type cutting mechanism suitable for a coal roadway and a half-coal-rock roadway and a heading machine. The cutting mechanism comprises a main machine frame, a motor, a cutting chain, a left cutting head and a right cutting head, the motor, the cutting chain, the left cutting head and the right cutting head are installed on the main machine frame, the left cutting head and the right cutting head are located on the two sides of the cutting chain respectively, and the motor drives the cutting chain to rotate and drives the left cutting head and the right cutting head to rotate; wherein a plurality of middle cutting teeth are distributed on the cutting chain; a plurality of left cutting teeth are distributed on the left cutting head; a plurality of right cutting teeth are distributed on the right cutting head; at least part of the middle cutting picks are matched with the left cutting picks to form a spiral line shape, and at least part of the middle cutting picks are matched with the right cutting picks to form a V shape. The problem that an existing cutting mechanism is low in cutting efficiency is solved.

The invention discloses a micro-nano satellite and rocket unlocking and separating mechanism which comprises a center rotating wheel structure, N extension sliding arms and N satellite locking and releasing structures, one end of each extension sliding arm is connected with the center rotating wheel structure, and the other end of each extension sliding arm is connected with one satellite locking and releasing structure; the central runner structure controls the plurality of connecting rods to realize synchronous opening and closing; the satellite locking and releasing structure adopts a steel ball for locking and releasing, so that the satellite is prevented from popping up in advance, and the satellite locking and releasing structure has higher loading capacity; the invention provides a satellite separation speed and separation force value solving method aiming at a satellite and rocket separation speed requirement; the unlocking separation mechanism is high in synchronism, large in load, light in weight, small in size, high in reliability and capable of ensuring that a satellite is safely separated from a rocket after entering an orbit.

The invention belongs to the technical field of lasers, and discloses a narrow-linewidth frequency-stabilized laser device and a working method thereof, and the device comprises a laser module, a frequency-stabilized light path module and a frequency-stabilized control module. The laser module is used for outputting first continuous laser, second continuous laser and third continuous laser based on the fundamental frequency light; the first continuous laser, the second continuous laser and the third continuous laser are homologous laser and have different wavelengths; the frequency stabilization light path module is used for carrying out modulation transfer frequency stabilization on the second continuous laser by utilizing a modulation transfer spectroscopy method and outputting a frequency stabilization detection signal; the frequency stabilization control module is used for performing amplitude signal extraction on the frequency stabilization detection signal to obtain a frequency discrimination signal, and generating a feedback signal according to the frequency discrimination signal; wherein the feedback signal is used for triggering the laser module to perform tuning control on the fundamental frequency light, so that the frequency discrimination signal is always controlled at a zero value; three kinds of homologous continuous laser light with different wavelengths can be output at the same time, and the three kinds of continuous laser light have the advantages of being narrow in linewidth and stable in frequency.

The utility model discloses a vehicle front end connecting module and vehicle with it, include: left front connecting beam and right front connecting beam, left front connecting beam and right front connecting beam are suitable for installing in the frame and along the width direction arrangement of frame, left front connecting beam front end and the front end of right front connecting beam are suitable for installing front anti -collision pole, left front connecting beam front end and right front connecting beam front end between suitable for accommodating cooling module, front crossbeam subassembly, one end of front crossbeam subassembly is connected in left front connecting beam's front end and is connected in the front end of right front connecting beam with another end, strengthen crossbeam, strengthen crossbeam is connected in left front connecting beam and the bottom of right front connecting beam, wherein, left front connecting beam and right front connecting beam and strengthen crossbeam are all castings, and the distance between left front connecting beam front end and right front connecting beam front end is 1050mm~1150mm. According to the vehicle front end connecting module of utility model embodiment, can accommodate greater cooling module, has the advantages such as high integrity, promotes structural strength, light weight.

The invention relates to the technical field of synthetic fiber paper manufacturing, in particular to aramid-based heating paper and a preparation method thereof.The preparation method comprises the steps that para-aramid chopped fibers and potassium hydroxide are added into dimethyl sulfoxide, then water is added, stirring and dispersing are conducted, and nanofiber dispersion liquid is obtained; adding carbon fibers and aramid chopped fibers into the nanofiber dispersion liquid for defibering, and uniformly mixing to obtain chopped fiber dispersion liquid; the preparation method comprises the following steps: adding a meta-aramid polymer liquid, a nanofiber dispersion liquid and a precipitation agent into precipitation equipment, carrying out high-speed shearing to obtain a fibrid, carrying out cooling molding in a water washing pool, and carrying out multi-stage water washing to obtain a meta-aramid fibrid; and uniformly mixing the chopped fiber dispersion liquid and meta-aramid fibrid, and then carrying out wet-process papermaking, squeezing drying and hot-pressing treatment to obtain the aramid-based heating paper. According to the preparation method, the carbon fibers and the aramid chopped fibers can be well dispersed, and the prepared aramid-based heating paper has higher uniformity and better mechanical properties and heating performance.