24results about How to "Improve broad applicability" patented technology

The invention relates to the technical field of financial data processing, in particular to a data processing method and system based on financial information bills. The data processing method comprises the following steps: acquiring multi-modal financial information bill data; and performing bill modal decomposition on the multi-modal financial information bill data to generate financial information bill modal decomposition data. Bond information price income prediction needs a large amount of financial data, such as market interest rate, bond expiration date, face interest rate and the like, the data are similar to the data form of bill modal decomposition, and a more accurate model can be obtained through standardization and feature extraction of multi-modal data. Therefore, valuable input is provided for bond price and income prediction. According to the invention, through multi-modal data fusion, counterfeited feature comparison modeling, abnormal bill clustering analysis and dynamic risk assessment, the security and accuracy of financial bill identification are improved.

The invention relates to the technical field of power grid impedance simulation control, and discloses a new energy grid-connected detection platform power grid impedance simulation control method which is based on a new energy grid-connected detection platform. Comprising the steps of output voltage and current sampling, phase voltage calculation, coordinate transformation, voltage regulation, modulation wave calculation, static coordinate system conversion, voltage calculation under simulation power grid impedance, SVPWM modulation and the like. According to the method, through accurate calculation and adjustment of each step, high-precision grid-connected performance evaluation can be realized, and reliable operation of new energy equipment under different conditions is ensured; performance testing can be carried out on different types of new energy equipment, by optimizing voltage regulation and SVPWM modulation, improvement of electric energy quality, reduction of harmonic waves and voltage fluctuation and guarantee of stability and high efficiency of a power system are facilitated, power grid impedance is simulated in a wide frequency domain, and engineering implementation is easy.

The invention discloses a 2D-CNN network wake flow electromagnetic field detection method based on wavelet transform time-frequency spectrum characteristics. The method comprises the steps of (1) generating an underwater vehicle wake flow electromagnetic field calculation data set through a multi-physics field coupling method of hydrodynamics and electromagnetism, (2) extracting time-frequency spectrum features of a wake flow electromagnetic field through wavelet transform, and (3) developing a wake flow electromagnetic field detection model based on a 2D-CNN deep neural network. And training the model by using the data after the wavelet transform for wake flow electromagnetic field detection. According to the 2D-CNN network wake flow electromagnetic field detection method based on the wavelet transform time-frequency spectrum characteristics, the detection capability of the wake flow electromagnetic field can be effectively improved, a new technical means is provided for detection of the wake flow electromagnetic field of an underwater vehicle, and the method has a good application prospect in the field of marine target electromagnetic field monitoring and early warning.

The invention discloses an air conditioner control method, system and device based on deep reinforcement learning and a medium, first environment state data is obtained and input into a pre-trained initial air conditioner strategy scheduling model, then a first operation strategy is obtained according to the first environment state data and a preset factor, and the first operation strategy is sent to the air conditioner control system. And then the first operation state of the air conditioner is adjusted according to the strategy, and the adjusted second environment state data are obtained again. And parameters of the initial air conditioner strategy scheduling model are optimized through a preset reward function, the first operation strategy and the second environment state data, and a target air conditioner strategy scheduling model is obtained. And the current environment state data are input into the target air conditioner strategy scheduling model, a current operation strategy can be generated, and the current operation state of the air conditioner is accurately adjusted according to the strategy. According to the embodiment, the environment state data can be obtained in real time, the operation strategy is dynamically adjusted, and therefore the response speed and flexibility of air conditioner control are effectively improved.

The invention discloses a road surface disaster detection method and system, electronic equipment and a storage medium, and relates to the technical field of intelligent traffic management and computer vision, and the method comprises the steps: collecting image data containing a plurality of road surface disaster types, carrying out the data marking in each image data, and carrying out the data marking; a data sample is constructed through each piece of image data subjected to data annotation; training the improved YOLOv10 model by using the data sample until a loss function of the improved model reaches a preset end condition, and determining the improved model of which the loss function reaches the preset end condition as a disaster detection model; acquiring a to-be-detected image of a to-be-detected road surface, and inputting the to-be-detected image into the disaster detection model for processing to obtain a disaster detection result of the to-be-detected road surface, the disaster detection result including a disaster type and a disaster position; by combining the deep learning technology and optimization algorithm design, the problem that the existing method is insufficient in detection precision, robustness and applicability is solved.

The invention relates to a comprehensive treatment and recycling system and process method for cabin washing wastewater of a multi-chemical cabin washing station, and the comprehensive treatment and recycling system comprises an acid-alkali wastewater pretreatment device, a benzene wastewater pretreatment device, an oily wastewater pretreatment device, an alcohol wastewater treatment device and a domestic sewage pretreatment device, the acid-base wastewater pretreatment device, the benzene wastewater pretreatment device, the oil-containing wastewater pretreatment device, the alcohol wastewater treatment device and the domestic sewage pretreatment device are all connected with the comprehensive wastewater treatment device; the tank washing wastewater is classified and collected from a wastewater source path, and a targeted pretreatment process is adopted according to the physicochemical characteristics of each type of wastewater, so that the pressure of subsequent comprehensive treatment is greatly relieved, the stability and reliability of the treatment effect are guaranteed, and meanwhile, the wide applicability of the process is also improved; the pretreated comprehensive wastewater is subjected to a biochemical and advanced oxidation process, so that the economical efficiency of system operation and the final effluent effect are ensured.

The invention discloses a method for evaluating combined toxicity of nano plastic and tamoxifen based on caenorhabditis elegans and a method for resisting drug toxicity caused by the nano plastic, a sample to be detected is an NGM solid culture medium of a mixture of the nano plastic and tamoxifen, and the caenorhabditis elegans is inoculated into the sample to be detected. The toxic effect of the joint exposure of the nano plastic and the tamoxifen on nematode movement, nerve, development and reproduction under the actual environment condition can be quickly and accurately evaluated, and a basis is provided for evaluation of human health risks. The invention provides a combined toxicity detection method which is suitable for laboratories, simple and convenient to operate and high in applicability by fully considering the problems that the toxicity is changed due to the chemical effect generated by nano-plastics and medicines and the in-vivo conditions are complicated and are difficult to observe, and provides a combined toxicity detection method which is suitable for laboratories and can be used for detecting the toxicity by supplementing N-acetylcysteine through diet. The effect of N-acetylcysteine in relieving tamoxifen toxicity caused by nano-plastics is further evaluated.

The invention provides a debridement device control method, a computer readable storage medium and a debridement device. The method comprises the following steps: acquiring tool bit identification information of a first interface and / or electrode type information of a second interface; and the tool bit clamping state of the water power tool is determined according to the tool bit identification information, and / or the electrode type of the plasma electrode is determined according to the electrode type information. And when only the tool bit clamping state of the first interface is identified as correct tool bit clamping, determining the current working mode of the debridement device as a first mode, and responding to the first user operation to control the hydrodynamic tool to work. And when only the electrode type of the second interface is identified, determining the current working mode of the debridement device as a second mode, and responding to a second user operation to control the plasma electrode to work. And when the tool bit clamping state is identified as correct tool bit clamping and the electrode type of the second interface, switching to the first mode or the second mode in response to a user instruction. According to the application, wound cleaning under various conditions can be realized, and the wound cleaning efficiency is improved.

The invention discloses an anti-blocking oil receiving device of sesame oil squeezing equipment, and relates to the technical field of sesame oil production equipment.The anti-blocking oil receiving device comprises a base, a stand column is installed on the base, a charging barrel is installed on the stand column, an oil draining groove is formed in the charging barrel, a sleeve seat is installed on the stand column, and an oil scraping mechanism used for scraping sesame oil in a reciprocating sliding mode is installed on the sleeve seat; according to the sesame oil collecting device disclosed by the invention, through the arrangement of an elliptical swash plate, a piston, a transfer cylinder, a pressing wheel and the like, the sesame oil flowing out of the surface of the stand column is collected through the elliptical swash plate which slides in a reciprocating manner during oil collection during sesame oil production; and meanwhile, a pressing wheel and a piston are driven to move, the collected sesame oil is pumped out, the sesame oil is prevented from being solidified and blocked in the oil receiving process, and the use convenience and practicability of the equipment are improved.

The present invention relates to a hard mirror fixing bracket, comprising an eyepiece bracket assembly, a fixing arm, and a guide sheath connected to the bottom of the fixing arm, a trachea is connected through the bottom of the guide sheath, and a negative pressure tube interface is provided below the trachea; the eyepiece bracket assembly comprises an adjusting arm, a positioning adjusting piece, and a fixing portion for fixing the eyepiece, the fixing portion is connected to the adjusting arm and is away from one end of the fixing arm, and the adjusting arm is adjusted in height and angle on the fixing arm through the positioning adjusting piece. The beneficial effects of the present invention are: the guide sheath and the hard mirror are fixed by the fixing bracket, which solves the problem that the hose and the hard mirror cannot be fixed. There are many types of hard mirrors on the market, and the sizes and angles are different. The adjustable angle increases the wide applicability of the fixing bracket.

The invention discloses a sunlight-induced chlorophyll fluorescence observation data processing method and device, equipment and a medium, and the method comprises the steps: firstly, building a connection relation between a complex parameter and a vegetation index based on an empirical statistical relation, and generating a model simplified parameter; then, on the basis of the parameters, the SIF proportion of single scattering escape of pure vegetation, the SIF proportion of single scattering escape of pure soil and the SIF proportion of scattering escape between soil and vegetation are calculated, and the single vegetation scattering escape rate, the single soil scattering escape rate and the scattering escape rate between soil and vegetation are generated. Finally, on the basis of the escape rates in the three aspects, a downscaling calculation formula is constructed, and SIF observation data downscaling processing is completed. According to the method, the accurate quantification of the influence of the soil background on the fluorescence escape probability is realized, the simplicity and convenience of the calculation process are ensured, and the wide applicability of the descending scale in sparse canopies and bright soil backgrounds is improved.

The application relates to a resistance calibration method and device of a vehicle-mounted heater and a vehicle. The method comprises the following steps: in the case that the vehicle-mounted heater in the vehicle is in a cold start state, obtaining a cold-state resistance of the vehicle-mounted heater at a cold start moment, and performing cold-state calibration on reference resistances in mapping information of temperatures and reference resistances of the vehicle-mounted heater according to the cold-state resistance and an ambient temperature of the vehicle-mounted heater, determining a calibrated resistance of the vehicle-mounted heater, and in the case that resistance drift of the vehicle-mounted heater is detected, performing drift calibration on the calibrated resistance of the vehicle-mounted heater based on a first dynamic resistance of the vehicle-mounted heater, and obtaining an actual resistance of the vehicle-mounted heater. The two-stage calibration mechanism of cold-state calibration and drift calibration can effectively compensate for inherent errors caused by the PTC heater itself and resistance drift caused by long-term use and aging, and the actual resistance of the PTC heater can be accurately obtained.

The invention provides an adjustable prosthesis adaptive to human thyroid cartilage replacement. The prosthesis comprises an adjusting support, the adjusting support is provided with a first end and a second end which can rotate relatively, and the adjusting support comprises a locking device used for locking the included angle between the first end and the second end; the first adaptive support is connected with the first end of the adjusting support and used for being connected with the incomplete end of one side of the thyroid cartilage; the second adaptive support is connected with the second end of the adjusting support and used for being connected with the incomplete end of the other side of the thyroid cartilage; the adjusting support is located at the connecting position or the pre-connecting position of two cartilage plates in the thyroid cartilage. The thyroid cartilage prosthesis has the effect of improving the wide applicability of the thyroid cartilage prosthesis to patients.

The invention relates to the technical field of medical instruments, and discloses a postoperative nursing device for a patient with lower limb deep venous thrombosis in the vascular surgery department. The postoperative nursing device for the lower limb deep venous thrombosis patient in the vascular surgery department comprises a placing plate, a distraction device is installed on the placing plate, an adjusting mechanism is installed on the placing plate and located on the bottom side of the distraction device, a pre-fixing mechanism is connected to the adjusting mechanism, and an adapting mechanism is installed on the pre-fixing mechanism. Through the arrangement of a threaded rod, a semicircular ring, an arc-end rubber plate, a soft cushion and the like, the threaded rod can be conveniently adjusted according to the wounded swelling part of a patient, healthy limb parts on the two sides of the wounded part are fixed and clamped, the pain of the patient is relieved, after the limb parts are pre-fixed through the semicircular ring, the arc-end rubber plate adapts to the sizes of different limb parts of different patients, and the operation is convenient. Therefore, stable clamping and fixing are achieved, deviation or tearing of the distraction position caused by movement of the patient is prevented, the operation process is facilitated, and the comfort degree of placing the legs of the patient is increased.

The utility model discloses a battery cell fixing device which comprises a first limiting frame, a second limiting frame, a clamping and pushing mechanism and a mounting frame movably connected with the second limiting frame, a first clamping surface is arranged on the second limiting frame, and a second clamping surface is arranged on the mounting frame; the clamping pushing mechanism pushes the first limiting frame, and the first limiting frame is matched with the first clamping surface for clamping, or the first limiting frame is matched with the second clamping surface for clamping; therefore, different types of battery cells can be clamped or released, and the wide applicability of the device is improved.

The invention discloses a method and a system for detecting the domestic rate of enterprise equipment based on a large model, which are used for the technical field of language processing, and the method for detecting the domestic rate of the enterprise equipment comprises the following steps: extracting equipment attribute data of an enterprise by utilizing a structured query language; converting texts in the equipment attribute data into word vectors based on a natural language processing technology; calculating a word frequency-reverse file frequency value of each word in the word vector through a statistical method, and extracting text keywords in the equipment attribute data; based on a pre-trained large model, text keywords in the equipment attribute data are recognized, and domestic equipment is determined according to production place information; and calculating the ratio of the enterprise equipment to the Chinese equipment. The architecture design based on the large model has good expandability, can flexibly meet the requirements of different enterprises, and improves the wide applicability of domestic rate detection.

The film reading device provided by the embodiment of the invention comprises the objective table, the imaging device and the control device, and the control device can set corresponding different film reading modes according to the sample slides of different slide types for the sample slides of the to-be-detected body fluid sample; therefore, the slide reading device can read different types of sample slides (such as a slide pushing type or a slide throwing type), and the wide applicability of the slide reading device is improved. In addition, the embodiment of the invention also provides a film reading method and a readable storage medium.

The utility model provides a temporary storage device for a sampling bottle of a bioreactor. The temporary storage device comprises a table top and table legs, the table top is fixed on the table legs; a plurality of sampling bottle temporary storage inner grooves are formed in the table top and are used for storing sampling bottles; sampling bottle inner groove covers are arranged at groove openings of the sampling bottle temporary storage inner grooves, and the sampling bottle inner groove covers are used for conducting heat preservation on samples and protecting the samples in the moving process. According to the temporary storage device for the bioreactor sampling bottle, the problem that related articles such as the bioreactor sampling bottle cannot meet the GMP regulation when being placed on the ground is solved, and the related problems that facilities and articles used in a clean workshop need to be free of dead angles, easy to clean, free of cross contamination risks and the like according to the GMP regulation are achieved.

The invention belongs to the technical field of water meter assembly. The invention provides a single-workbench water meter assembly method and system based on body intelligence. A four-layer framework of perception, prediction, planning and execution is adopted. The sensing module outputs a water meter part state and a structured scene map based on the 3D scene reconstruction network; the prediction module generates collision risk and assembly execution time prediction based on the Transform multi-task sequential network; the planning module generates an optimal assembly action sequence through hierarchical reinforcement learning; and the execution layer executes operation in a position-force hybrid control mode, and feeds back data in real time to form a closed loop. According to the scheme, the problems that traditional manual assembly is low in efficiency and existing automatic equipment lacks self-adaptive capacity are solved, the defects that sudden working conditions are difficult to deal with and multi-model adaptation is poor are overcome, the assembly efficiency and consistency are improved, manual intervention is reduced, assembly interruption and part damage are avoided, and flexible automation of the whole water meter assembly process is achieved.

The invention discloses a phase modifier synchronization grid-connected frequency difference fixed value setting method and system, and relates to the technical field of power system automatic control, and the method comprises the steps: collecting the rotating speed of a phase modifier in real time after the phase modifier enters a running-down state; drawing a rotating speed-time-based phase modifier running-down curve, and fitting to obtain a rotating speed-time function of the phase modifier; calculating an integral of a difference value between the rotating speed-time function and an actual power grid rated rotating speed to obtain a phase angle difference function between the phase modifier and an actual power grid in a grid connection process; based on a phase angle difference function, setting an initial phase angle of a phase modifier, enabling the phase angle difference to be equal to integral multiples of 2 pi, and meanwhile, based on a rotating speed-time function, enabling a rotating speed value to be equal to a rated rotating speed of an actual power grid, carrying out combined solving, and screening according to a plurality of time points obtained by solving to obtain leading and lagging grid-connected point switching-on time points; and a frequency difference setting value is obtained through calculation. According to the method, the optimal constant value of synchronous grid connection can be determined, and the impact on the unit can be minimized while 100% grid connection can be realized.

The present invention relates to a cloud manufacturing service composition method based on multi-strategy deep reinforcement learning, which combines the basic DQN algorithm, competition structure, dual estimator and priority replay mechanism, and also adds some strategies to the model, such as reward strategy, ε‑greedy strategy and heuristic strategy, to improve the performance of the algorithm. The heuristic strategy can shield unavailable services, overcoming the shortcoming that DLR cannot be restored to a stable state due to unreasonable hyperparameter and reward design. The reward allows DLR to effectively adjust parameters according to the real reward value, and the ε‑greedy strategy gives the algorithm the opportunity to jump out of the local optimum. Experiments show that the model not only has the advantage of strong adaptability to dynamic environments, but also is better than other deep reinforcement learning methods.

The present invention relates to the field of financial data processing technology, and in particular to a data processing method and system based on financial information bills. The data processing method comprises: obtaining multimodal financial information bill data; performing bill modal decomposition on the multimodal financial information bill data to generate financial information bill modal decomposition data. Bond coupon price yield prediction requires a large amount of financial data, such as market interest rates, bond maturity dates, coupon rates, etc. These data are similar to the data form of bill modal decomposition. By standardizing and extracting features from multimodal data, a more accurate model can be obtained, thereby providing valuable input for bond price and yield prediction. The present invention improves the security and accuracy of financial bill identification through multimodal data fusion, forgery feature comparison modeling, abnormal bill clustering analysis and dynamic risk assessment.

The utility model belongs to the electric meter box technical field, concretely relates to a kind of electric meter box of pluggable installation electric meter, including electric meter box body, the inner wall of electric meter box body is fixedly connected with multiple groups of slot, the inside of electric meter box body is equipped with multiple connecting plates, every the four end angles of connecting plate near slot side are fixedly connected with plug block, the side of every plug block is inserted in slot, clamping assembly is provided on connecting plate, clamping assembly includes the sliding slot of being opened in the side of connecting plate away from plug block, multiple T-shaped grooves are opened in sliding slot, the both sides of connecting plate are respectively equipped with first clamping plate and second clamping plate, first gear is rotatably connected in sliding slot. The utility model can fix different size electric meter, improve the versatility and extensive applicability of electric meter box, satisfy the diversified electric meter installation demand, simplify electric meter replacement process, reduce operation difficulty, improve work efficiency.

The utility model provides an agricultural ploughing and soil turning device, and relates to the technical field of ploughing and soil turning, the agricultural ploughing and soil turning device comprises a fixed seat, an irrigation assembly is arranged on the fixed seat, the irrigation assembly comprises a water collecting tank, a rubber cover is fixedly connected to the water collecting tank, a water inlet pipe is arranged on the water collecting tank, and a water outlet pipe is arranged on the water collecting tank. One end of the water inlet pipe is communicated with the water collecting tank in a penetrating mode, the end, away from the water collecting tank, of the water inlet pipe is communicated with one end of the water suction pump in a penetrating mode, the end, away from the water inlet pipe, of the water suction pump is communicated with a water outlet pipe in a penetrating mode, and the end, away from the water outlet pipe, of the water storage frame is fixedly connected with a water outlet nozzle. The bottom end of the water suction pump is fixedly connected with a fixing frame, a bolt is arranged on the fixing frame, through the arrangement of the irrigation assembly, cultivated land becomes wet, and the situation that hard soil and large stone abrade a ploughing cutter, the service life of the ploughing cutter is shortened, and the ploughing efficiency and quality are affected is prevented.