36results about How to "Flexible solution" patented technology

The invention belongs to the technical field of electric power data security management and intelligent question answering, and particularly relates to an electric power data security policy large model question answering system and method based on relation pooling. The system comprises a power data security policy knowledge base, a language model, a question processing module, an answer generation module and a user output module. Data of the electric power data security policy knowledge base comes from an electric power data security policy file; the language model converts a natural language problem into a structured query for knowledge base retrieval; the question processing module retrieves policy terms related to the natural language question to serve as retrieval results; the answer generation module generates a final answer according to the natural language question and a retrieval result of the knowledge base; by introducing the intelligent question-answering system combining the large language model and the knowledge base, the problems of low efficiency, inaccurate interpretation, incapability of dynamically updating and the like in the existing power data security policy query and management are solved.

The invention is applicable to the technical field of biological information, and provides a drug target prediction method based on a graph neural network, which comprises the following steps of: respectively taking a drug and a target node as a core, and automatically extracting local sub-graphs of the drug and the target node to capture local context information of the nodes in a complex biological network; taking different types of edges as feature information and fusing the feature information into a feature learning process, dynamically adjusting contribution degrees of the different types of edges to node representation through an attention mechanism, introducing residual connection and a normalization processing strategy, and fusing node features; and performing deep mining on the fused node features by using a two-layer graph convolutional network, and calculating a potential interaction prediction score between the drug and the target. The invention further provides a drug target prediction model based on the graph neural network. According to the method, independent feature extraction and training are carried out on predicted drugs and target spots, and the accuracy and richness of node representation are effectively improved while the flexibility of the model is kept.

The invention discloses a question answering method based on metadata and a related device, which can be used in the field of artificial intelligence, and the method comprises the following steps: obtaining an initial question input by a user; splitting the initial question into a plurality of sub-questions through a large language model; performing target identification on each sub-problem to obtain a retrieval target; performing mixed retrieval on each sub-question in combination with the initial question in a retrieval library to obtain retrieval knowledge; then, a target tool is selected from the tool set based on the retrieval target; and if the retrieval target comprises any one of the index, the field and the blood relationship and the target tool is not a large language model tool, processing the retrieval knowledge corresponding to the sub-question based on the target tool corresponding to the sub-question to obtain answer content. Therefore, the relatively complex initial question is disassembled into a plurality of sub-questions, and knowledge retrieval is performed on each sub-question, so that high-accuracy retrieval knowledge can be obtained from a complex retrieval library, and the accuracy of the answer content generated in the question and answer scene is improved.

The invention discloses a signal timing scheme automatic generation system based on multiple algorithms, and the system comprises an index data statistics module which is used for carrying out the statistics of a plurality of preset index data in obtained traffic big data in any traffic region which is delimited in advance, and obtaining a statistical result of the index data; the index algorithm model management module is used for performing result representation on any index in the statistical result by using a corresponding specific index algorithm model; the optimization model generation module is used for constructing a multi-algorithm signal timing optimization model for a plurality of index algorithm models corresponding to the plurality of indexes; and the problem solving module is used for solving the optimization model and generating a signal timing scheme of the target traffic area according to a solving result. According to the invention, through integration of the multi-algorithm model, automatic generation of the traffic signal timing scheme is realized, the efficiency and effect of traffic management are improved, and powerful technical support is provided for sustainable development of urban traffic.

The invention belongs to the technical field of electromagnetic interference elimination, and discloses a method and system for processing electromagnetic leakage interference of an electromagnetic vibration table, and the method comprises the steps: starting a signal collection and analysis module, monitoring an electromagnetic signal generated in the operation process of the electromagnetic vibration table in real time, and recognizing an interference frequency range; a proper filter is selected or designed based on the identified frequency range through a filter selection and design module; a filter processing unit is utilized to install filters on necessary power lines and signal lines, and interference suppression measures are executed; the test and optimization module is operated, the filtering effect is evaluated, the configuration of the filter is adjusted according to needs, and the electromagnetic interference suppression effect is optimized; and the monitoring and adjusting module is continuously executed to adapt to the change of an experimental environment, so that long-term effective electromagnetic interference control is ensured. The invention provides a solution which is more accurate, effective and flexible compared with the traditional physical shielding, and is suitable for the occasion of carrying out high-precision vibration test on the magnetic sensitive sample.

The invention provides an optical frequency domain reflectometer image signal denoising method and measurement method based on deconvolution. The denoising method comprises the following steps: converting reference and measurement signals of an OFDR (Optical Frequency Domain Reflectometer) into distance domain reference signals and measurement signals by adopting FFT (Fast Fourier Transform); dividing a scattering medium for measurement into a plurality of sections according to the spatial resolution of the OFDR, and converting distance domain reference and measurement signals of each section into time domain reference and measurement signals by adopting STFT (Short Time Fourier Transform); calculating a cross-correlation spectrum curve of each segment of corresponding time domain reference and measurement signals to obtain a cross-correlation two-dimensional image; autocorrelation is carried out on the time domain reference signal of each segment, and an autocorrelation two-dimensional image is obtained; taking a main lobe, corresponding to a cross-correlation peak, of each section in the cross-correlation two-dimensional image as a wavelength interception range of the section, and intercepting an image located in the wavelength interception range of the section from each section of the self-correlation two-dimensional image as a point spread function (PSF); and de-noising the cross-correlation two-dimensional image by adopting deconvolution according to the PSF. According to the invention, the problem that the OFDR cannot carry out image signal denoising based on deconvolution is solved.

The invention discloses a security check system for roll-on and roll-off vehicles, belongs to the technical field of security check systems, and provides a flexible and reliable solution by fully considering complexity and diversity of port and navigation environments in the design of the system. The unique innovation points and functions should serve as key protection technical schemes, uniqueness and wide application prospects of the patent are ensured, mobile operation scene support is achieved, and efficient application of ports and shipping parties in the mobile operation scene is supported. A user is not limited by fixed ticket checking equipment any more, and operation can be carried out at any place such as a wharf and a cabin. Due to the flexibility, related business operation is more convenient and efficient, the dynamic requirements of modern port and navigation business are greatly met, the security check efficiency and accuracy are improved, and a user can quickly enter a working state to perform identification and data acquisition on various certificates and bills by innovatively using a handheld terminal authorization and login mechanism.

The present invention provides a method for predicting the thermal error of an electric spindle in advance based on a deep learning algorithm. The method collects the surface temperature and the displacement data of the electric spindle by arranging multiple temperature sensors and displacement sensors on the surface of the electric spindle, and trains a thermal error prediction network composed of a time domain convolution network, a gated loop network, and a fully connected network to achieve the thermal error prediction of the electric spindle in advance. The present invention adopts a thermal error prediction network to predict the advance amount of the thermal error of the electric spindle, and can compensate before the error occurs, thereby improving the machining accuracy and the stability of the electric spindle. At the same time, the thermal error prediction network adopts a multi-way parallel neural network and a fully connected network design, which enhances the adaptability and robustness of the model and provides a flexible solution for electric spindles of different types and specifications.

The invention provides an electric spindle thermal error advanced prediction method based on a deep learning algorithm, and the method comprises the steps: collecting the surface temperature of an electric spindle and the displacement data of the tail end of the electric spindle through arranging a plurality of temperature sensors and displacement sensors on the surface of the electric spindle; and training a thermal error advanced prediction network composed of the time domain convolutional network, the gating circulation network and the full-connection network to realize thermal error advanced prediction of the electric spindle. The advanced quantity of the thermal error of the motorized spindle is predicted by adopting the thermal error advanced prediction network, compensation can be carried out before the error occurs, the machining precision and the stability of the motorized spindle are improved, meanwhile, the thermal error advanced prediction network adopts the design of a multi-path parallel neural network and a full-connection network, the adaptability and robustness of the model are enhanced, and the accuracy of the model is improved. And a flexible solution is provided for motorized spindles of different types and specifications.

The invention relates to a decision-making method based on dustproof effect abnormity of a transfer point of an underground coal mine belt conveyor, and belongs to the technical field of coal mine operation. Firstly, based on scene characteristics of a mine belt transfer point, an expert knowledge base and an expert execution base of the mine belt transfer point are established; and through matching of the expert knowledge base, the reasons causing the abnormal dust falling effect of the transfer point are searched according to the priorities. And finally, based on the reason of the abnormal dust falling effect, through analysis of the expert knowledge base and the expert execution library, reasoning an operation group which needs to be executed at present, and completing automatic execution of the operation group. Therefore, by adopting the embodiment of the invention, the quick positioning of the abnormal dust falling effect of the transfer point and the automatic execution of the abnormal problem solution can be realized by establishing the expert database, the effective control of the dust concentration of the transfer point of the belt conveyor is completed, and the intelligent construction of dust prevention of a coal mine is facilitated.

The invention discloses an electronic device thermal characteristic evaluation method based on a Wiener filter. The method specifically comprises the steps that the junction temperature of an electronic device to be tested is obtained through thermal testing, a thermal impedance curve of the electronic device to be tested is obtained through calculation according to the junction temperature, and a thermal impedance element conversion derivative curve is obtained through element conversion processing and derivation processing; carrying out deconvolution on the thermal impedance transmutated derivative curve to obtain a time constant spectrum of the electronic device to be detected; obtaining a thermal characteristic evaluation result of the electronic device according to the time constant spectrum; in the deconvolution process, a Wiener filter is applied to the frequency domain form of a thermal impedance transmutated derivative curve, and a thermal characteristic representation function is introduced. Compared with two methods which are widely applied at the present stage, the modulation method is simpler, the accuracy is more close to the essence, and the obtained structure function can accurately reflect the thermal characteristics of each layer of the tested device.

The invention discloses a device for producing non-annealed steel through a bright annealed line and a production mode switching method, and the production mode switching method comprises the following steps: cutting off strip steel: cutting off the strip steel on the bright annealed line near an inlet of an annealing furnace of the bright annealed line, the strip steel on the bright annealing line is cut off near an outlet of an annealing furnace of the bright annealing line, so that the strip steel is sequentially divided into a first section of strip steel, a second section of strip steel and a third section of strip steel from a starting point of the bright annealing line; by-pass turning rollers are arranged below the annealing furnace, the tail end of the first section of strip steel and the head end of the third section of strip steel are welded, the welded strip steel is supported by the by-pass turning rollers from the lower portion, and therefore the bright annealed wire is switched to be in a by-pass mode for producing non-annealed steel. According to the method, the production efficiency is remarkably improved while the product quality is guaranteed, and a more efficient and flexible solution is provided for production of the non-annealed steel.

The present application discloses a basalt mining device and a method of using the same, which belongs to the field of basalt mining, and comprises an impact module and a splitting module placed inside a borehole; the impact module comprises an impact piece and an impact power device for driving the impact piece to impact the inner wall of the borehole, and the widening piece applies a splitting force to the rock from inside the borehole to open the cracks in the rock; the impact module and the splitting module are simultaneously arranged in the basalt borehole to crush the rock, and the impact module can cause multiple damages inside the rock by generating stress waves, thereby effectively reducing the overall strength of the basalt, and the splitting device further expands the borehole, and utilizes the characteristic that the tensile strength of the rock is much lower than the compressive strength, so that the high-hardness basalt is easier to be crushed. This combined use method can combine the effects of stress waves and splitting forces, and significantly improve the crushing efficiency of high-hardness basalt.

The application relates to the field of workpiece defect detection, and discloses a workpiece end face defect detection method and system based on deep learning, which comprises the following steps: acquiring an end face image of a machined workpiece, performing image enhancement and region marking on the end face image to obtain an end face enhanced image and an end face marked region, querying abnormal points corresponding to the end face marked region, calculating an image offset of the workpiece end face image in a preset direction, querying an image difference frame corresponding to the workpiece end face image according to the image offset, extracting pixel values of the image difference frame, calculating an image difference value of the workpiece end face image, performing classification detection on the workpiece end face image by using a preset end face detection model to obtain a classification image, identifying a defect region in the classification image, extracting region features, and performing defect detection on the workpiece end face image to obtain a defect detection result of the machined workpiece. The application can improve the detection efficiency of workpiece end face defects.

The present invention discloses a positioning device for covering a Pilates wooden barrel and an application method thereof. The device has the ability to accurately lock an arc-shaped wooden barrel and a cover material, and the structure includes a locking actuator, a grasping component, a clamping component, and a stretching and covering mechanism. The innovation is that the locking actuator includes a beam plate fixed to an external device or component, a pressing component installed on the beam plate, and a clamping component located below the beam plate. Another innovation is the design of the clamping component, which includes a fixed clamping block located directly below the beam plate and two movable clamping blocks located on both sides of the fixed clamping block, wherein the two movable clamping blocks are hinged to the frame of the external frame and include a power cylinder that drives them to rotate. The design of the device takes into account the convenience and practicality of operation, wherein the grasping component and the clamping component can accurately grasp and fix the arc-shaped wooden barrel, and the stretching and covering mechanism can effectively flatten and stretch the cover material.

The invention discloses a data file storage system based on combination of distributed storage and blue-ray storage, relates to the technical field of data file storage, and not only ensures quick access of high-frequency data, but also realizes long-term reliable storage of low-frequency and important data through combination of distributed storage nodes and blue-ray storage equipment. The distributed storage nodes provide efficient writing and reading performance and are suitable for the data requirement of frequent access, and blue light storage has low storage cost and excellent durability and is particularly suitable for storing low-frequency and long-term reserved data; besides, the data management software layer intelligently classifies the importance and access frequency of data files, so that dynamic allocation and optimal management of resources are realized, and reasonable storage of different data is ensured; according to the whole system, the data access efficiency is improved, the dual requirements of real-time performance and safety are met, and the storage cost is reduced.

The pressure-sensitive rocket shell self-adaptive supporting device comprises an outer shell frame, the top of the outer shell frame is connected with a porous metal top plate, a plurality of upper sliding holes are formed in the porous metal top plate and distributed in a matrix mode, and supporting column unit bodies are arranged in the upper sliding holes in a sliding and penetrating mode; a base metal plate is fixedly connected to the position, close to the bottom, in the outer shell frame, a plurality of lower sliding holes are formed in the base metal plate and correspond to the upper sliding holes of the porous metal top plate, and each supporting column unit further penetrates through the corresponding lower sliding hole. Each supporting column unit body is connected with a limiting unit, and each limiting unit makes contact with the upper surface of the base metal plate. A plurality of second electromagnets are connected to the top face of the bottom of the outer shell frame. The invention further discloses a pressure-sensitive rocket shell self-adaptive supporting method. According to the pressure-sensitive type rocket shell self-adaptive supporting device and the supporting method thereof, the problem that an existing rocket shell supporting device cannot adapt to rocket shells of different sizes is solved.

The present application relates to a kind of double-channel low-voltage ideal diode, including two independent and same structure channel, the power PMOS tube of each channel is integrated, gate drive circuit, current sampling circuit, programmable current limiting circuit, temperature detection circuit and undervoltage lockout circuit.The present application is adjusted by gate drive circuit intelligent degree of power tube conduction, maintain about 15mV ultra-low conduction voltage drop when light load, more than 90% lower than traditional schottky diode power consumption;Through CLIMx external resistance, current limiting value can be flexibly set;With two-stage temperature protection (130 ℃ early warning / 160 ℃ shutdown) and fast reverse current blocking function, seamless switching of main backup power supply can be realized.The present application effectively solves the problems of high power consumption, serious heating, lack of programmable protection and reverse current risk of existing diode scheme, and is especially suitable for unmanned aerial vehicle, aerospace and industrial control in the key load power supply with strict requirements on volume, power consumption and reliability.

The invention discloses a mobile energy storage regulation and control device which comprises a battery module, a battery management system, an energy storage bidirectional inverter, an environment adaptability system and an energy management system. Wherein the battery management system monitors and manages the state and performance of the battery module. The use of the energy storage bidirectional inverter is helpful to orderly access the electric energy generated by the photovoltaic power generation system to the power distribution network, and ensures the stable operation of the power grid at the same time. The environment-adaptive system can maintain the appropriate temperature of the equipment compartment and the battery compartment. Besides, the energy management system can reasonably allocate energy storage and release of the energy storage system according to real-time data acquisition and analysis so as to cope with volatility and intermittency of the photovoltaic power generation system. The mobile energy storage regulation and control device provides a flexible and reliable solution for distributed photovoltaic access to the power distribution network, effectively solves a series of challenges and problems caused by distributed photovoltaic access to the power distribution network, and is expected to promote wider application of renewable energy in a power system.

The invention relates to the technical field of network security, and discloses a wireless communication networking registration system based on industrial control equipment, and equipment for realizing the function comprises a host and a slave. According to the application, the host comprising the screen, the sub1G wireless module and the linux master controller and the slave comprising the sub1G wireless module and the single-chip microcomputer master controller are utilized, the equipment adding mode is set to be the equipment discovery mode or the equipment import mode through the screen of the host, and networking registration of the slave is controlled based on the preset blacklist mode or white list mode. And meanwhile, the host and the slave perform wireless data interaction by utilizing respective sub1G wireless modules, so that a wireless communication networking registration system based on the industrial control equipment is realized, the legality and security of the equipment are ensured, a black list and a white list are mutually exclusive, and a flexible solution is provided for equipment management in different scenes.

The invention provides a printing machine device with an adjustable printing head. The printing machine device mainly comprises an annular rail, an ink jet box and a driving mechanism. A positioning hole is formed in the side wall of the annular rail, the ink-jet box abuts against the annular rail through the protruding block and can rotate automatically, an elastic telescopic rod is arranged in an installation groove in the ink-jet box, and the elastic telescopic rod can stretch out and penetrate through the positioning hole through magnetic attraction of the first magnetic block and the second magnetic block so that the ink-jet box can be fixed. When the position needs to be adjusted, fixation can be relieved by turning over the first magnetic block. The driving mechanism drives the annular rail to move in the X-axis direction, and large-range adjustment of the printing head is achieved. The device is simple in structure, convenient to operate and flexible to adjust, and the use performance and user experience of the printing machine are remarkably improved.

This invention relates to the field of fencing technology, specifically disclosing a collision-resistant and buffer-type safety fence, comprising: a fixed pile mechanism, which includes a square hole, a circular hole, a hemispherical groove, a hollow cylindrical tube, and a fixed pile body. Two hollow cylindrical tubes are respectively located on the left and right sides of the top of the fixed pile body. A square hole communicating with the inner cavity of each hollow cylindrical tube is opened in the center of its front side. Circular holes penetrating vertically are opened on both the left and right sides of the bottom of the fixed pile body. Two hemispherical grooves are equidistantly spaced along the circumference at the top of the inner cavity of the fixed pile body. This device is not only easy to install and disassemble, and has excellent buffering performance, but also possesses good environmental adaptability, economy, and reusability. It fundamentally solves the problems of irreversible deformation, difficult maintenance, and inconvenient assembly and disassembly of traditional rigid guardrails, providing an efficient, flexible, and reliable solution for construction safety protection.

The utility model is suitable for the technical field of monitoring, and provides a mobile video security monitoring device, which comprises a base. The stand column is fixedly installed on the base, a rack is installed on the stand column in a sliding mode, a fixing plate is fixedly installed at the top of the rack, and a monitoring camera is installed on the fixing plate in a sliding mode; the two threaded cylinders are rotationally mounted on the base, threaded rods are mounted on the two threaded cylinders in a threaded mode, and moving wheels are arranged at the bottoms of the two threaded rods; and the two driving motors are fixedly installed on the top of the base, and driving gears are fixedly installed on output shafts of the two driving motors. The mobile video security and protection monitoring device provided by the scheme is not only convenient to move, but also has accurate adjustment capability in horizontal and vertical directions, and meets complex and variable monitoring requirements.

The application discloses a power system load curve clustering analysis method, determines the target and requirement of power system load curve clustering analysis, carries out data preprocessing, uses a self-organizing feature mapping neural network to construct a feature extraction model, uses an MAML algorithm to carry out multi-task learning, carries out rapid adjustment through meta learning, applies a Gaussian mixture model to cluster the extracted features, uses indexes to evaluate the clustering effect, carries out clustering result analysis, determines whether the predetermined performance standard is met, and further carries out iterative optimization, so that the self-organizing feature mapping neural network, meta learning and the Gaussian mixture model are combined, and greater value is brought to power system operation and energy management.

The present invention proposes a method, device and application for determining the initial position of a slice. The method includes collecting signals through a light source and a CCD sensor, setting the initial light intensity and the light blocking threshold to determine the light blocking position, analyzing the light intensity change curve to determine the slice position, and also calculating the sample position according to the thickness of the cover glass, analyzing the curve using an image processing algorithm, and having an alarm function to prompt that the device is abnormal or there is no slice. The device includes a laser projection module, a scanning platform, a concave lens, a CCD sensor and a control unit. The electronic device executes the method by running a program through a processor, and a readable storage medium stores related computer programs. The present invention can easily and quickly determine the initial position of the slice, and improve focusing accuracy and work efficiency.

The application discloses a short-circuit current fast calculation and inhibition method and system based on day-ahead production simulation, and the method comprises the following steps: based on load prediction data, power generation prediction data and various production plan curves, a scenario set covering multiple time sections is generated by using a probabilistic method, and power flow distribution is calculated as a multi-scenario production simulation result; through a preset data mapping and conversion rule library, the production simulation result is converted into simulation data files suitable for electromechanical transient simulation software; by using a parallel computing framework, a short-circuit current calculation module of the electromechanical transient simulation software is called in batches, the maximum short-circuit current of each bus and the corresponding time section and scenario are identified; a suppression measure knowledge base is constructed, a candidate suppression measure combination is generated, a multi-objective optimization algorithm is used to optimize, screen and simulate and check the candidate suppression measures under the condition of safety and stability constraints, and an optimal suppression measure scheme is output. The application couples production simulation and transient simulation, and realizes intelligent decision-making.

The invention discloses a five-star foot production processing technology and processing equipment, which are used for processing a workpiece into a five-star foot, and the processing technology comprises the following steps: taking an insert, placing the insert, taking the workpiece, punching, cooling, reaming and blanking. Wherein the grabbing device grabs the workpiece, when the workpiece is placed on the punching station, the five-claw appearance of the workpiece is adopted for positioning, and when the workpiece is placed on the reaming station, the five-claw appearance and the center hole are adopted for positioning. According to the five-star foot production and machining technology and machining equipment, the machining cost can be reduced, and the machining efficiency can be improved.

The invention discloses a PCIe interface and direct connection interface multiplexing communication method and system based on a CXL protocol. The method comprises the steps that the value of a working mode selection register is read; in response to a PCIe interface mode indicated by the value of the working mode selection register, entering the PCIe interface mode after exiting the reset state, and performing communication through an external PCIe device; and in response to the value indication of the working mode selection register as a CXL direct connection interface mode, respectively configuring the coupling mode of the system, a reference clock, receiving end detection and low delay characteristics of a controller based on a physical layer PHY, and carrying out Die-to-Die communication through a user-defined direct connection packet. The PCIe interface and the CXL direct connection interface are combined into one, so that the hardware resource utilization rate of the system is greatly improved, and the system can be freely switched between the two modes according to actual requirements.

The embodiment of the invention relates to the technical field of automatic testing, and discloses an automatic testing system and method and a vehicle, and the system comprises an upper computer main service module which is used for obtaining a testing script, carrying out the abstract conversion of the testing script, and obtaining a target abstract instruction; the target abstract instruction is a standardized target abstract instruction for describing a test operation type; the access and access control module is used for determining a corresponding virtual device node when the target abstract instruction is received; converting the target abstract instruction into an executable instruction corresponding to the operation equipment through the virtual equipment node; controlling the operation equipment to execute the executable instruction, and receiving a returned execution result; the virtual device node is created based on a device capability description model of the operating device. According to the technical scheme, the test script is converted into the standardized abstract instruction, so that the test script does not need to be modified for different devices or scenes, and cross-device and cross-scene efficient multiplexing is realized.