19results about How to "Resolve mutual interference" patented technology

The utility model discloses a bottle discharging and blanking structure of a wide-mouth bottle blowing machine, which comprises a mounting bracket, a transverse sliding rail is arranged on the mounting bracket, a sliding block capable of sliding left and right along the transverse sliding rail in a reciprocating manner is arranged on the transverse sliding rail, and a mechanical arm capable of being opened and closed longitudinally is mounted on the sliding block. The mechanical arm comprises a bottle taking air cylinder and two clamps arranged below the bottle taking air cylinder, and the plane where the two clamps are located after the two clamps are opened is perpendicular to the blowing track. According to the bottle discharging and blanking structure of the wide-mouth bottle blowing machine, the jaw of the manipulator adopts a vertical opening and closing mode, so that the problem of mutual interference caused by insufficient spacing distance of bottle openings of adjacent wide-mouth bottles during blanking can be fundamentally solved, and the bottle discharging and blanking structure has the characteristics of simple structure and practicability.

The application relates to the field of workpiece production operations, and discloses a skid changing system, a scissor clamping mechanism and a flow line. The skid changing system comprises a skid assembly, a skid changing conveying line, a lifting assembly and an adjusting and positioning assembly. The skid assembly comprises multiple uniform skids with the same model and multiple non-uniform skids with different models. The skid changing conveying line can alternately input the uniform skids and the non-uniform skids. The lifting assembly can lift a workpiece carried by a previous skid input to the skid changing conveying line and place the workpiece on a next skid. The adjusting and positioning assembly can adjust and position the relative position of the lifting assembly and the skid with any model input to the skid changing conveying line. The flow line can realize collinear skid changing of workpieces with different models, reduces the investment cost of equipment and improves production efficiency.

This invention discloses a multi-channel array integrated gas sensing module. The gas sensing module adopts a three-dimensional stacked structure, divided into an interface layer, a circuit layer, and a sensing layer. The circuit layer and the sensing layer are physically isolated by a sealing partition. The sensing layer includes a multi-channel gas sensing array and a pre-gas path cavity. The multi-channel gas sensing array includes several pairs of sensing units. The circuit layer includes a multi-select analog switch array, an instrumentation amplifier, an analog-to-digital converter, and a communication interface chip connected in sequence. The gas outlet of the pre-gas path cavity faces the sensitive surface of each sensing chip. The differential signal output terminal of each sensing unit pair is connected to the input terminal of the multi-select analog switch array. The communication interface chip is connected to the electrical contacts of the interface layer. The multi-select analog switch switches sequentially according to a preset order, turning on each sensing unit in turn to the instrumentation amplifier. Based on this, this invention achieves miniaturized integration and high signal-to-noise ratio output.

The invention discloses a wearable lower limb exoskeleton robot with an adjustable hip joint, and belongs to the technical field of exoskeleton robots. The wearable lower limb exoskeleton robot comprises a hip joint adjusting device and two lower limb exoskeleton mechanisms; the hip joint adjusting device comprises a hip cross beam, a first synchronous adjusting device, two second synchronous adjusting devices and two gravity center floating devices. The first synchronous adjusting device is mounted on the hip cross beam; the two second synchronous adjusting devices are respectively arranged on the first synchronous adjusting device; the two gravity center floating devices are installed on the two second synchronous adjusting devices in a one-to-one correspondence mode. The two lower limb exoskeleton mechanisms are installed on the two gravity center floating devices in a one-to-one correspondence mode. Left-right and front-back stepless adjustment on the sagittal plane is achieved, up-down floating can be achieved according to gravity center changes of a human body during rehabilitation training or auxiliary walking, the wearing requirements of the hips of different patients can be met, the motion posture of the device is close to the walking gait of a normal person, and the use experience degree and the rehabilitation training degree of the patients can be improved.

The application discloses a kind of based on AI's variable frequency solar heat pump air conditioning unit and control method, including by inclined plate solar collector, air conditioner outdoor unit and air conditioner indoor unit consisting of variable frequency solar heat pump air conditioning unit, and inclined plate solar collector is connected to water storage tank by pipeline and the heated water liquid is stored, the present application relates to solar heat pump air conditioning technical field.The based on AI's variable frequency solar heat pump air conditioning unit and control method of the present application, by setting temperature sensor in heat exchanger inside and outside, and using AI double threshold and temperature interval and delay judgment control logic, real-time acquisition internal temperature and external temperature, accurately identify frost and overheating state, through inclined plate solar collector and water storage tank cooperation, directly utilize solar hot air defrosting compensation, solve the problem that traditional unit cannot self-adapting temperature control, easy frost, easy overheating, realize heat exchanger temperature intelligent compensation, significantly improve heat exchange efficiency, reduce energy consumption and failure rate.

The invention provides an on-line monitoring method for abnormal vibration of thermal energy storage equipment, and belongs to the technical field of thermal energy storage equipment. A multi-source sensor array comprising low-frequency and high-frequency vibration sensors is arranged at key parts of the thermal energy storage equipment, and noise interference is suppressed in a differential arrangement mode; a multi-source coupling vibration signal is separated by using an independent component analysis algorithm, time-frequency analysis is performed by combining wavelet transform to extract vibration characteristics, and a phase change vibration characteristic mechanism equation is established to calculate material physical parameter changes in a phase change process. A neural network identification model based on dynamic topology reconstruction sparse connection learning and probability graph model structured prediction is constructed, and a vibration anomaly discrimination threshold system is established to realize anomaly early warning and adaptive optimization. The technical problem that the abnormal vibration mode is difficult to accurately separate and identify by the multi-source coupling vibration signal in the phase change process of the thermal energy storage equipment is solved.

The invention discloses a power grid frequency fluctuation multi-time scale feature identification and modeling method and system. The method comprises the steps of obtaining a frequency fluctuation sequence; performing detrending fluctuation analysis on the frequency fluctuation sequence to obtain a fluctuation function; acquiring a local maximum value of the fluctuation function, and dividing second-level, minute-level and hour-level time scale intervals; in different time scale intervals, a second-order autoregression model is adopted to carry out modeling on frequency fluctuation; all the second-order autoregression models are superposed, a power grid frequency average value in a set period is added to obtain a power grid frequency preliminary comprehensive model, and the preliminary comprehensive model is corrected based on historical accumulated deviation in a set long-time scale; the characteristic equations of all the second-order autoregression models are solved, different characteristic parameters are selected for calculation or acquisition according to the types of the characteristic roots, and the different characteristic parameters correspond to different power grid adjusting mechanisms. According to the method, accurate quantification of each fluctuation source is realized, and specific key parameters such as relaxation time, oscillation period and noise variance are identified.

The invention relates to a battery health state estimation method and system based on a sequential network and physical information fusion, and a medium. The method comprises the following steps: collecting battery charge-discharge cycle data, extracting characteristics related to battery degradation, and preprocessing the characteristics; constructing a physical information neural network branch, designing a special sub-network group based on a physical mechanism of battery degradation, extracting physical characteristics related to the corresponding degradation mechanism from original characteristics by each sub-network, and outputting a health state prediction value based on the physical characteristics after fusion; constructing a time sequence neural network branch, and outputting a health state prediction value based on time sequence characteristics; and setting an adaptive fusion layer, and carrying out weighted combination on the predicted values of the two branches to obtain a final battery health state estimation value. According to the method, the battery health state estimation precision can be improved while the physical interpretability is kept, and the generalization ability of the model to different working conditions and battery individuals is enhanced.

The utility model relates to a handle controller with Bluetooth and WiFi functions, which comprises a Bluetooth and WiFi communication module circuit, a battery electric quantity detection and charging circuit, a display screen, a rocker circuit and a key circuit, and the Bluetooth and WiFi communication module circuit is respectively connected with the battery electric quantity detection and charging circuit, the display screen, the rocker circuit and the key circuit. According to the design, an ESP32S3 main control chip is used, and secondary development can be carried out by using open source software. Python programming and graphical programming can be used, and the method is suitable for STEM education in middle and primary schools. Bluetooth and WiFi communication is supported in the aspect of communication, and the problem of mutual interference caused by simultaneous operation of multiple devices can be solved.

The present application relates to a multi-layer heterogeneous library-based technology information retrieval enhancement method and system, the method comprising: constructing a multi-layer heterogeneous storage architecture including an outer stable state library, a middle transition library and an inner transient library and configuring an adaptive hierarchical sedimentation update mechanism; after receiving a user query, retrieving an anchor technology base in the outer stable state library, if the base similarity is insufficient, automatically retrieving a reinforced base in the middle transition library, obtaining an anchor vector and calculating a time decay weight; calculating the query vector and the base vector residual and determining whether to trigger evolution enhancement, if triggered, reconstructing the query evolution enhancement vector using a dynamic residual increment coefficient; using the enhanced vector to retrieve the front information in the inner transient library and adaptively fusing the outer layer or middle layer base score and the inner layer score, introducing an evolutionary consistency reward to rearrange and mark the results and output structured information. The present application can effectively capture the technology evolution trend, while maintaining the retrieval accuracy and improving the evolution direction tracking capability.

The utility model discloses a kind of multi-lens monitoring equipment, including ball cover, base, multiple lens assemblies and multiple light supplementing components, multiple lens assemblies and multiple light supplementing components are in the inner cavity formed by ball cover and base, lens assembly can be circumferentially moved relative to base, and light supplementing component is synchronously circumferentially moved when lens assembly moves, the bottom of ball cover is equipped with bottom mounting, bottom mounting is connected with base, ball cover includes first light-transmitting part, second light-transmitting part and light-blocking part, light-blocking part is located between first light-transmitting part and second light-transmitting part, first light-transmitting part is configured to pass through natural light, second light-transmitting part is configured to pass through infrared light, light-blocking part is configured to block the optical crosstalk of natural light, which is transmitted by first light-transmitting part, and infrared light, which is transmitted by second light-transmitting part, in the interior of ball cover.The utility model can realize that light supplementing component and lens assembly are synchronously circumferentially moved, and can also block natural light and infrared light crosstalk.

The present application relates to the technical field of wireless communication, and particularly relates to a kind of super-diagonal RIS enhanced multi-target sensing integration optimization method and system. Including: establishing super-diagonal RIS enhanced multi-target sensing integration system model;Under the constraints such as meeting user minimum rate constraint and base station transmitting power constraint, with base station transmitting beamforming matrix and super-diagonal RIS scattering matrix as optimization variable, the sensing estimation Cramer-Rao bound minimization is constructed Sensing integration joint optimization problem;The joint optimization problem is solved by alternating optimization algorithm, on the one hand, the Shur complement convex conversion technology and semi-positive definite relaxation method are used to optimize base station transmitting beamforming matrix, on the other hand, the adaptive Riemann steepest descent method based on geodesic is used to optimize super-diagonal RIS scattering matrix under unitary constraint, and the common promotion of sensing performance of super-diagonal RIS enhanced multi-target sensing integration system is realized by the alternating optimization of two parts.

This invention relates to the field of audio equipment and discloses a multi-speaker anti-interference audio system, comprising an audio body and two loudspeakers installed within the audio body. Each of the two loudspeakers has a honeycomb panel at its front end and a gap-reducing assembly on its outer periphery. A dustproof and cover assembly is located on the side of the audio body near the loudspeakers. Each gap-reducing assembly includes an independent isolation chamber, one side of which is fixedly connected to one side of the honeycomb panel. The independent isolation chamber contains a sound-absorbing pad. By using an independent isolation chamber around the two loudspeakers, the sound-absorbing pad is housed within the isolation chamber and clamped to the rear of the honeycomb panel. Simultaneously, a guide rod within a ring-shaped rotating plate, in conjunction with a first spring on the outer periphery, drives a contact post to elastically abut against the sound-absorbing pad, achieving a clamping and elastic abutment-type gap reduction between the honeycomb panel and the sound-absorbing pad.

The invention relates to a business operation environment deployment method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: in response to a selection operation of an enterprise-level user, determining a correspondingly selected resource configuration specification; creating an independent project isolation unit and an independent management account for the enterprise-level user, and generating a conflict-free private network segment; creating object storage resources, a node resource pool of a container arrangement engine, a cache database and a relational database for the enterprise-level user in the private network segment based on the selected resource configuration specification; configuring a network address translation route for the private network segment and creating a network access control rule; obtaining and executing a structured query language script matched with the business system version of the enterprise-level user; creating a business service based on the service deployment template; creating a public network load balancing resource; and creating a back-end access route based on the preset route configuration template. By adopting the method, the deployment efficiency can be improved.

The present application relates to the technical field of graphite screening and beneficiation, and particularly relates to a multi-target coordinated graphite content dynamic trajectory grading and beneficiation method, which uniformly delivers graphite ore to a uniform conveying device to form single-particle discrete distribution; collects multi-modal image data of the ore, eliminates specular reflection through polarization differential reflection suppression, corrects spectral distortion through laser radar auxiliary dust spectrum compensation, and obtains a pretreated full-surface spectral image; extracts multi-dimensional features and cross-modal fusion through a multi-scale feature fusion graph neural network, outputs fixed carbon content, grade level and graphite type information, and allocates a unique ID; correlates grade and spatial information, fuses a physical model and a deep learning prediction trajectory, combines multi-target tracking and grade priority coordination strategy to complete accurate separation; and evaluates the effect in real time, dynamically adjusts system parameters using a multi-target deep deterministic policy gradient algorithm, and forms a closed-loop control. The present application can improve the efficiency, precision and stability of graphite separation.

This invention provides an information recommendation method, apparatus, device, and storage medium. The method involves acquiring sequence feature data corresponding to information to be recommended, where the sequence feature data is collected when a user interacts with the information. The method then determines the category corresponding to the sequence feature data; determines the attention information corresponding to the sequence feature data for each category; determines the relevance information between the information to be recommended and the user based on the sequence feature data and the attention information corresponding to the category; and recommends the information to the user based on the relevance information. This invention, while ensuring sufficient cross-category interaction, avoids the risk of information intrusion between sequence feature data from different categories, thereby enabling more accurate modeling of user interests and improving the accuracy of the recommendation algorithm.

This invention relates to an automated method and system for detecting the tips of multiple pipettes, belonging to the field of automated detection technology. The automated method for detecting the tips of multiple pipettes includes the following steps: using a YOLOv8 model to perform mask segmentation on the pipette tips in a clear image and calculating the angles. The mask segmentation results are used as prompt information and input along with the original image into a SAM2.1 model to generate conditional image feature memory and establish a tracker corresponding to each angle of the tip; in subsequent detection processes, only the original image is input into the SAM2.1 model, which outputs the tip mask; the system controls the tip requiring calibration to perform a displacement within the current screen, and the movement trajectory of the tip is obtained based on the mask output by the SAM2.1 segmentation model; improving detection stability: by introducing the tracking mechanism of the SAM2.1 model, the dependence on the detection results of the YOLO model is eliminated, and the tracking and detection of the pipette tip can still be achieved even when the YOLO model fails, effectively solving the problem of poor detection stability in complex backgrounds.