17results about How to "Flexible integration" patented technology

The invention provides an excitation amplitude automatic closed-loop control system and method for a DLCP test. The system comprises a multi-frequency alternating current excitation and direct current bias voltage applying module which is used for automatically applying alternating current excitation signals and direct current bias voltage signals according to a preset excitation amplitude sequence under a plurality of test frequencies; the PID closed-loop control module is used for performing closed-loop correction on the applied voltage according to the response of the test port of the tested semiconductor device, so that the condition of the applied voltage at the test port meets a preset requirement; the capacitance measurement module is used for acquiring an equivalent capacitance response signal of the tested semiconductor device; the capacitance test data caching module is used for performing associated marking and classified caching on the capacitance test data according to the test frequency, the excitation level and the bias voltage set point; and the main control module is used for coordinating automatic test processes under the conditions of a plurality of test frequencies and different excitation amplitudes and outputting corresponding capacitance test data so as to improve the consistency, stability and automation degree of the DLCP test.

The invention discloses a reversible metal 4D printing method based on hydrogel reversible deformation and a metal part, and belongs to the field of metal additive manufacturing. The method comprises the following steps: firstly, constructing a three-dimensional model comprising a hydrogel driving layer and a metal blank layer; respectively preparing hydrogel light-cured ink and metal or precursor slurry thereof; printing the two layers of materials sequentially or alternately by adopting a photocuring printer to obtain a composite green body; the hydrogel layer is dehydrated and shrunk through drying, the component is driven to generate preset shape deformation, the hydrogel layer absorbs water and expands through soaking, and reversible recovery of the shape of the component is achieved; and degreasing, selective reduction and sintering heat treatment are conducted on the component, and the compact final metal component is obtained. According to the invention, the independent hydrogel layer is used as a deformation driver, the dependence on the intrinsic phase change characteristic of a metal material is avoided, the material universality is extremely high, the method can be widely applied to 4D printing of various materials including refractory metal and high-reflection metal, and reversible control of shape change is realized.

The utility model discloses a glue nozzle temperature on-line detection device, and relates to the technical field of adhesive sticker production, the glue nozzle temperature on-line detection device comprises a support frame member and a second closed structure member, the bottom of the support frame member is connected with a first joint member, and the second closed structure member is connected to one end of the support frame member far away from the first joint member. According to the glue nozzle temperature on-line detection device, the first joint component and the second joint component are arranged at the two ends of the supporting frame component respectively, a first electric joint and a second electric joint are each of a frameless torque motor structure, and by means of the arrangement of the structures, the whole device structure has the double-section structure movable adjustability; and meanwhile, a damping sleeve is used between the second closing component and the detection component, so that the detection component can realize axial rotation adjustment along the surface of the connecting pile, the structural flexibility is improved, and the device is convenient to use.

This invention relates to the field of system interface technology, specifically to a non-intrusive interface software system interface implementation method, comprising the following steps: S1: Implementing non-intrusive API middleware by defining a middleware constructor or adding injection points to the interface methods of an object. This invention achieves data interaction through non-intrusive API middleware, protecting the stability and integrity of existing software. It avoids directly modifying the source code of existing software, thereby protecting its stability and integrity, reducing the risks that may be introduced by directly modifying the source code, preventing the introduction of new errors or damage to existing functions. Furthermore, using non-intrusive API middleware allows for faster integration and extension of existing software, accelerating development and deployment, reducing the complexity of integration and extension. Simultaneously, by introducing a middleware layer, existing software and external systems can evolve independently without affecting each other, achieving better usability.

The invention discloses a gas turbine comprehensive performance evaluation method and device based on the grey target theory, a medium and a product, and relates to the field of ship power device performance evaluation.The method comprises the steps that index parameters of a gas turbine under multiple operation conditions in different evaluation schemes are obtained; according to the index parameters, performing data normalization by adopting a utility function to obtain a normalized data matrix; according to the standardized data matrix, obtaining a comprehensive performance score of the gas turbine by adopting a dimension expansion grey target theory evaluation algorithm; the accuracy of gas turbine comprehensive performance evaluation can be improved, and the actual requirement for gas turbine evaluation is met.

The invention discloses a theme condition music generation method and system based on dynamic gating, and relates to the technical field of intelligent music generation and controllable content generation. The method comprises the following steps: training a basic topic condition Transform model by using a training set containing a topic-music pair; replacing a hard gating mechanism in a model decoder with an innovative dynamic gating fusion module, and constructing a dynamic gating subject condition Transform model; training and optimizing by using the same training set; and generating the multi-sound music work with complete structure and natural theme development by using the trained model under the condition of any given theme segment. According to the method, through a learnable dynamic gating network, the theme influence can be intelligently adjusted along with the music context, and the problems that current theme control is stiff and the music structure is loose are solved. The generated music theme is clear in presentation, repeated, reasonable and natural in change, and is suitable for various application scenes such as AI auxiliary composition, personalized music generation, games and film and television duplication music and the like.

The invention relates to a gate oxide state monitoring method and circuit of a field effect transistor, and belongs to the technical field of power electronics, and the method comprises the steps: obtaining a drain current signal of a to-be-monitored field effect transistor in a switching-on transient process; determining the current rise time of a field effect transistor based on the drain current signal; wherein the current rising time is the time that the drain current rises from the flowing start time to the load current time; and comparing the current rise time with a preset health reference time, and outputting an indication signal reflecting the reliability state of the gate oxide layer based on a comparison result. According to the method provided by the invention, non-intrusive online real-time monitoring is realized by taking the current rise time as a gate oxide degradation specificity monitoring parameter, collecting the drain current signal in the device turn-on transient state and comparing the drain current signal with the health reference time.

The invention discloses a lightning proximity prediction method based on multi-source heterogeneous image sequence fusion, and belongs to the technical field of space-time prediction. The method comprises the following steps: acquiring a radar product image, a multi-channel satellite infrared image and a lightning positioning image, and constructing an input tensor after performing targeted preprocessing on various types of data; constructing a lightning prediction model composed of a geographical consistency division module, a space-time homogenization module, a cross-modal fusion module and a non-autoregression decoder module; dividing the input tensor into non-overlapping geographic sub-graphs based on a geographic consistency principle, and generating isomorphic features through a space-time homogenization module on the premise of keeping the original space-time resolution of each data source; fusing the isomorphic features by using a cross-modal fusion module to generate fused spatial-temporal features; a future multi-frame lightning probability field is predicted in parallel through a non-autoregression decoder module, and lightning proximity prediction of 6 minutes per hour in the future is achieved. According to the invention, the lightning prediction precision, stability and generalization capability can be improved.

The application discloses a kind of programmable data persistence solutions suitable for EOS, and the programmable data persistence solutions are as follows: step 1, receive data in advance in the process of block assembly and carry out data formatting, integrate it into plug-in, provide pluggable, selectable service, obtain block event and transaction event from the node, return object to listener in the form of JavaScript with the aid of V8 engine;Step 2, data processing;Step 3, put the processed data into signal slot again, carry out data distribution, client selects the signal to be monitored, obtains the native data that has been processed, and carries out subsequent development work;The application can efficiently, flexibly process and integrate on-chain data, provide customized, pluggable service for users, improve the utilization efficiency and accuracy of data.

The invention discloses a large-scale multi-source panoramic situation awareness system and method based on dynamic digital twinning, and belongs to the technical field of safety monitoring of large carrier platforms. The system takes a digital twinning scene as a unified space-time reference, realizes system-level integration of multi-source sensing, data processing and upper computer application, and comprises a multi-source sensing terminal layer, a digital twinning and data processing layer and an upper computer application and visualization layer; the method comprises the steps of sensing data acquisition and edge processing, equipment installation calibration parameter loading and maintenance, carrier attitude and scene coordinate reference updating, multi-source sensing data mapping and dynamic digital twinborn fusion, target position mapping and multi-view visual output, abnormal situation identification, alarm and data recording. According to the method, unified situation space construction, accurate three-dimensional positioning and visual multi-view display can be realized in the navigation, berthing and on-duty scenes of the large ship, and the method has good method expansibility and platform universality.

This application relates to the field of cutting machine technology, specifically a multi-functional cutting machine including a conveying device and a cutting mechanism. The cutting mechanism is slidably mounted along the length of the frame under the drive of a power mechanism. The cutting mechanism includes a switchable toothed blade cutting device, an electric flying knife cutting device, and a laser cutting device. The cutting mechanism includes a cutting frame and a rotating disk. A cutting base is detachably mounted on the bottom of the cutting frame. The toothed blade cutting device includes a bottom pressure roller and a discontinuous toothed blade. The discontinuous toothed blade, the electric flying knife cutting device, and the laser cutting device are installed in mounting slots within the rotating disk. The mounting slots are arranged in a circumferential array on the rotating disk. The bottom pressure roller is mounted on the cutting base. The rotating disk is driven to rise and fall by a hydraulic cylinder located on the top of the cutting frame. This application significantly improves the integration of the cutting device, reduces the equipment's footprint and land costs, adapts to the cutting needs of different fabric materials, and improves cutting efficiency and product quality stability.

This utility model provides a heated lumbar support and seat. The lumbar support includes: a backrest; a support assembly connected to the backrest for supporting the occupant's back; wherein the support assembly includes a support body with a heating element on it; and a functional component disposed on the support body, located on the side of the support assembly closer to the occupant and corresponding to the heating element, and detachably connected to the support body. This utility model, through its modular and detachable structural design, achieves flexible integration and convenient maintenance of heating and other health functions, thereby enhancing the product's multifunctionality, personalized experience, and lifespan.

The utility model belongs to the field of additive manufacturing relates to a light beam diameter switchable forming device, including laser, beam expander group, galvanometer, field lens, front dynamic mirror, rear dynamic mirror and translation movement mechanism, beam expander group includes at least two parallelly arranged beam expander, front dynamic mirror and rear dynamic mirror are set on translation movement mechanism, translation movement mechanism drives front dynamic mirror and rear dynamic mirror and translates between different beam expander, front dynamic mirror, the any beam expander of beam expander group, rear dynamic mirror, galvanometer and field lens are in order from front to rear and are set on the light path of the emergent light of laser. The utility model provides a light beam diameter switchable forming device, which is high in efficiency, convenient to control and can effectively improve the precision.

The application relates to the field of all-terrain vehicle power technology and discloses a hybrid system suitable for an all-terrain vehicle, which comprises a hybrid box, the hybrid box is modularly integrated with an integrated engine and a gearbox, the input shaft of the hybrid box is connected with the crankshaft of the engine, and the output shaft is connected with the input end of the gearbox in a power manner; the electromagnetic clutch is connected with the push ring toothed gear, the power generation gear and the input shaft of the hybrid box in a power manner; the modular double-motor hybrid box is used to replace the CVT stepless speed change device, so that the fuel consumption is reduced, the power performance is improved, the transmission efficiency and the system reliability are improved, and the maintenance cost of the periodic replacement of the CVT belt is reduced. The modular integration is realized on the existing fuel version integrated engine and gearbox, the gearbox can be deeply integrated with the integrated engine to reduce the gear shift position, and the integrated flexibility is high; the hybrid system has multiple driving modes such as pure electric driving, engine hybrid driving and series range increasing, can adapt to various off-road environments, and solves the dependence of the pure electric vehicle on charging facilities in the wild.

The application discloses a kind of based on bayesian model's unmanned aerial vehicle system oil tank area leakage accident detection method and system, through unmanned aerial vehicle carries infrared and visible light camera and shoots multimodal image of leakage scene, join geometric temperature feature and geometric priori on bayesian fusion algorithm, enhance the adaptability of this fusion model to oil tank area leakage scene, improve fusion effect and robustness;TGV regularization is used to optimize image boundary smoothness and detail retention, the model parameters are optimized by variational bayesian inference, realize the high-quality fusion of infrared and visible light image, obtain the scene situation graph of more perfect information.Further in combination with regional analysis function, the leakage area of oil tank area is automatically detected, and the leakage area features are extracted by brightness segmentation and geometric analysis, so that the leakage condition can be quickly evaluated.

The application discloses a kind of pole piece punching device and contain its lithium battery roll integrated machine, the pole piece punching device includes rack, lower roller, upper roller, two upper mounting plates, two lifting mechanisms and two regulators, the lower roller is rotatably connected in the rack, the upper roller is located directly above the lower roller, and the two ends of the upper roller are rotatably connected to two upper mounting plates respectively, two lifting mechanisms are connected to the top end of two upper mounting plates respectively and drive the lifting movement of the upper mounting plate and the upper roller, to adjust the spacing between the upper roller and the lower roller, two regulators are respectively abutted to the bottom end of two upper mounting plates and used to adjust the height of the upper mounting plate and the upper roller. So that the processing precision of pole piece punching device is high, guarantee the consistency of pole piece punching. At the same time, it is beneficial to popularize, and significantly reduces the cost for large lithium battery factory.

The invention provides a time series prediction system and method based on multi-scale information dynamic modeling, and belongs to the technical field of time series prediction.The time series prediction method comprises the steps that firstly, an input sequence is processed through an instance normalization module, then a sequence decomposition module decomposes time series information into different scales, and the energy ratio of each scale is calculated; then, the multi-scale information regulation and control module performs energy enhancement on the low-energy scale information to balance the attention of the model on the scale information; the enhanced multi-scale sequence is sent to a prediction module, prediction values of all scales in the future are generated respectively, and weighted fusion is carried out according to the previously calculated energy proportions of all the scales; and finally, the prediction data are recovered to original distribution through inverse instance normalization. According to the method, the prediction precision is remarkably improved, and through a multi-scale sequence decomposition and energy enhancement mechanism, the perception and modeling capability of the method on hidden key features in a low-energy scale is remarkably improved. The calculation efficiency is high, and the universality is high.