31results about How to "Avoid limitations" patented technology

This invention discloses a method for diagnosing sewage leaks in drainage pipes based on the introduction of clean water, specifically relating to the field of municipal engineering. The method includes: collecting water samples from adjacent manholes at both ends of the pipe to be inspected on a sunny day; pre-treating the samples and then performing fluorescence detection to obtain an initial fluorescence value F; introducing clean water at a known flow rate q0 into the downstream manhole's inlet pipe; after the clean water and sewage are fully mixed, collecting a water sample from the downstream manhole; pre-treating the sample and then performing fluorescence detection to obtain a fluorescence value F' from the downstream manhole; and introducing clean water at a known flow rate into the upstream manhole's inlet pipe; after the clean water and sewage are fully mixed, collecting a water sample from the upstream manhole; pre-treating the sample and then performing fluorescence detection to obtain a fluorescence value F'' from the downstream manhole. By introducing clean water into the upstream and downstream manholes and combining it with the fluorescence conservation principle, the leakage amount and uncertainty are calculated, thus solving the problems of high cost of video detection, low accuracy of flow monitoring, and difficulty in tracing the source of low-pollution water.

The invention provides a work order processing method and system, electronic equipment and a computer program product, belongs to the technical field of data processing, and aims to solve the problems of an existing work order processing method in the aspects of joint detection, precise positioning, quick response and the like. The method comprises the following steps: generating a corresponding work order task in response to a work order request; based on a predefined fault type troubleshooting sequence, determining a fault type which needs to be troubleshot currently for the work order task, and according to the fault type which needs to be troubleshot currently, allocating the work order task to a target processing node, the target processing node being associated with a resource entity with a corresponding fault type processing capability in an operation and maintenance resource pool; processing the work order task through the target processing node; and monitoring the processing state of the work order task, and executing a supervision operation instruction when the processing state meets a preset abnormal condition.

This invention discloses an adaptive thermally excited infrared thermal wave nondestructive testing method and device. The method includes: querying a pre-stored database based on the scanned position signal to obtain the theoretical standard energy distribution spectrum under the current pose; triggering pre-aiming sensing; acquiring and generating the actual pre-aiming energy distribution spectrum; comparing the two to calculate the actual energy non-uniformity, and comparing it with a preset threshold to decide whether to initiate compensation; driving the actuator to perform physical adjustments and confirming the adjustments; and finally synchronously triggering the main thermal excitation and infrared thermal image acquisition. The device includes a scanning motion and pose feedback module, a high-precision multispectral pre-aiming sensing module, an intelligent decision-making and synchronous control module, a finely adjustable main excitation execution module, and a data management and communication interface module. This invention can proactively correct the uneven excitation energy distribution caused by scanning geometric changes from the physical source, significantly improving the quality and reliability of the detected image.

The invention relates to the technical field of communication, and discloses a multicast communication method and system based on a three-dimensional geographic position and electronic equipment, and the method comprises the steps: obtaining the three-dimensional geographic position of a target area; generating a space identifier of the target area based on the three-dimensional geographic position; performing service query based on the space identifier to obtain a mapping relation corresponding to the target area; performing routing addressing on the target area based on the mapping relation to generate a flow table; generating a multicast communication message based on the space identifier, and sending the multicast communication message to all receiving terminals in the target area according to a flow table; and screening effective terminals from all the receiving terminals based on the multicast communication message, so that each effective terminal receives and processes the multicast communication message. According to the method, the space identifier is generated through the three-dimensional geographic position, the precision limitation of a traditional mapping relation and the limitation of two-dimensional plane communication are broken through, finer communication granularity is achieved, three-dimensional space representation is supported, and multicast errors, omission and range generalization are avoided.

The application provides a damping type linear generator, a design method and a damping control method, and belongs to the field of rail transit. The damping type linear generator comprises a superconducting coil, an 8-shaped coil and a damping type current collection coil. The damping type current collection coil is arranged in the superconducting coil shell on both sides of the superconducting motorized magnetic suspension train bogie, is used for collecting the energy of the air gap harmonic magnetic field of the 8-shaped coil, and directly supplies power to the on-board electrical equipment and the battery after rectification and filtering, and generates electricity by using the harmonic magnetic field in the train system. The damping type current collection coil is also used for receiving the stable current injected from the on-board power converter converted from the battery. At this time, the damping type current collection coil simulates the superconducting coil magnetic field to generate additional electromagnetic damping force, so as to reduce the vibration amplitude of the bogie in high-speed operation and improve the stability of the superconducting motorized magnetic suspension train in operation. The application improves the stability of the bogie in the operation of the magnetic suspension train.

The application discloses a strawberry sugar content efficient nondestructive detection method based on an intelligent algorithm, and comprises the following steps: acquiring a plurality of strawberry spectrum data and sugar content reference values, and dividing the strawberry spectrum data into a training set, a verification set and a test set; performing wavelet denoising and polynomial baseline correction on the spectrum data to obtain preprocessed data; extracting key characteristic wavelengths from the preprocessed data, and constructing an initial SVM model based on the key characteristic wavelengths; optimizing the initial SVM model by using the training set to obtain an optimized SVM model; acquiring target strawberry spectrum data, and inputting the optimized SVM model to obtain a detection result. The application realizes rapid, nondestructive and accurate detection of the sugar content of strawberries, and provides technical support for intelligent development of the strawberry industry.

The invention provides a freight heavy truck driving parameter design method, system and device and a medium, and belongs to the technical field of intelligent driving, and the method comprises the steps: S1, classifying the operation scenes of a freight heavy truck, and collecting the driving parameter data of a driver in each operation scene; s2, preprocessing the collected driving parameter data to obtain a driving parameter sample set; and S3, analyzing the driving parameter sample set by adopting a clustering algorithm, and extracting typical driving parameters in each operation scene. Accurate matching of the driving parameters and the freight scene is achieved, and adaptability, safety and efficiency of the intelligent driving system in a complex freight environment are improved.

The application discloses a kind of characteristic chromatogram detection methods of Qinggan Jieyu granules. After the solvent and microporous filter membrane treatment of Qinggan Jieyu granules, different batches of test solution are obtained, and the chromatogram of each is obtained by preparing the reference solution; the chromatogram of different batches of test solution and reference solution is combined to obtain the characteristic chromatogram and characteristic chromatographic peak of control, and then the relative retention time of the characteristic chromatographic peak and reference berberine hydrochloride peak solution is used to obtain the relative retention time of the control characteristic chromatogram as the specified value; the chromatogram is obtained by detecting the to-be-tested granules, and S peak correction is carried out, and the detection result is obtained by comparing the specified value of relative retention time. The characteristic chromatogram detection method of Qinggan Jieyu granules established by the application is simple in operation, reliable in result, high in stability and precision, and good in repeatability; the characteristic chromatogram of Qinggan Jieyu granules provided by the application can comprehensively and effectively control the quality of the preparation, and ensure the stability, reliability and safety of the preparation.

This invention relates to the field of medical data analysis technology, specifically to a patient response assessment method and system based on chemotherapy data analysis. The method includes the following steps: accumulating drug administration time and dose to form a cumulative exposure sequence; matching biomarker time and concentration to form response pairs; extracting adjacent differences and dividing assessment intervals according to correlation; calculating the interval change ratio to obtain an assessment coefficient sequence; and combining the drug administration time window and the response time window to calculate the chemotherapy response result. In this invention, by time matching and difference analysis of cumulative exposure and tumor marker concentration data, the relationship between exposure changes and indicator changes is characterized, reducing fixed threshold assessment bias, improving the utilization of time series data, enhancing the accuracy and individual adaptability of assessment results, improving the reliability of chemotherapy response assessment, and stabilizing assessment consistency.

This invention relates to the field of transformer transportation technology, specifically to a construction process for unloading and horizontally towing transformer equipment based on a rail sliding method. The process includes steel rails, with hydraulic rail clamps slidably fitted onto the top of the rails. Wedge-shaped clamps are symmetrically fixedly installed at the bottom of the hydraulic rail clamps. A hydraulic cylinder is fixedly installed at the rear end of the hydraulic rail clamps. A bearing device is fixedly installed at the end of the hydraulic cylinder furthest from the hydraulic rail clamp. A synchronizing rod is fixedly installed between two hydraulic rail clamps. The bearing device includes a first sliding platform and a limiting sleeve. The limiting sleeve is symmetrically fixedly installed at the bottom of the first sliding platform. Contact grooves are symmetrically formed at the bottom of the inner side of the rail. The first sliding platform also includes a guiding device, a synchronizing device, and a supporting device. The guiding device is slidably inserted into the top of the supporting device. Through the arrangement of the hydraulic rail clamps, guiding device, synchronizing device, and supporting device, the transformer achieves guided transportation, protection, and lubrication during transmission.

The embodiment of the invention provides a vehicle control method and system, a vehicle and a computer readable storage medium, and relates to the technical field of vehicle steering control. The method comprises the following steps: acquiring a vehicle state data set of a target vehicle; based on a first sub-data set in the vehicle state data set, determining a road adhesion coefficient of the target vehicle, the road adhesion coefficient being used for representing friction coefficients between a plurality of wheels of the target vehicle and the road; according to the road adhesion coefficient, a target rear wheel steering mode of the target vehicle is determined, and the target rear wheel steering mode is used for representing a vehicle driving mode matched with the road adhesion coefficient; determining a target rear wheel steering angle corresponding to the target rear wheel steering mode based on a second sub-data set in the vehicle state data set; and controlling the target vehicle to steer according to the target rear wheel steering angle. The technical problem of how to adaptively adjust the steering angle of the rear wheel of the vehicle so as to ensure the control stability and the driving safety of the vehicle is solved.

The utility model discloses a construction frame for building engineering, including support seat, the left and right sides of support seat all are equipped with support block, the upper surface of two support blocks all is seted up with recess, two recesses's inner bottom wall all are fixedly installed with two first electric cylinders, the top of support seat is equipped with two adjusting cover, two adjusting cover's bottom all are fixedly installed with the connecting plate, two groups first electric cylinder's telescopic end respectively with two connecting plate's bottom fixed connection, support seat's bottom slidingly connected with two adjusting plate, support seat's bottom fixed connection has fixed block, fixed block's left and right sides all are fixedly installed with second electric cylinder. The construction frame for building engineering reaches the effect that the distance between two adjusting covers and support slide plate is flexibly adjusted, and then can debug the support area during construction, will be more flexible to support the construction worker, avoids the problem that the construction support appears the limitation during construction.

The application relates to the technical field of storage batteries, and discloses a storage battery pole sealing performance detection device and method, which comprises a control machine, a cylinder is fixedly connected to the top of the control machine, a sliding rod is slidably connected in the cylinder, a connecting plate is fixedly connected to the bottom of the sliding rod, limiting rods are fixedly connected to the top of the connecting plate on both sides, a display machine body is arranged on one side of the control machine, a detection mechanism is arranged at the bottom of the connecting plate, a power line is fixedly connected between the control machine and the display machine body, a connecting piece is fixedly connected to one side of the top of the control machine, an air pressure gauge is fixedly connected to one side of the connecting piece, and a communication pipe is fixedly connected between the connecting piece and a shell; the detection mechanism comprises a shell, the shell is fixedly connected to the inside of the control machine, and a plurality of supporting plates are fixedly connected to the outside of the shell. Through the technical scheme, the problem that various specifications of poles cannot be conveniently sealed and detected in the prior art is solved.

The invention relates to the technical field of high-pressure water pumps, in particular to a multistage pressurization-based self-adaptive high-pressure water pump system, which comprises a data acquisition module, an intelligent analysis module, a state analysis module, a performance evaluation module and a self-adaptive decision module, water quality index parameters and operation performance index parameters of the target high-pressure water pump in the historical period are collected through a data collection module; the intelligent analysis module analyzes the water quality index characterization value and the operation performance index characterization value; the state analysis module determines whether the target high-pressure water pump operation process reaction environment stability meets the standard or not; the performance evaluation module determines whether the target high-pressure water pump system performance evaluation meets the standard or not; the adaptive decision module determines a processing strategy so as to determine the adjustment amplitude of the water quality index characterization threshold. The maintenance and operation efficiency of the self-adaptive high-pressure water pump system is improved.

The application relates to a public opinion intelligent monitoring and analyzing method, device and computer equipment for multi-platform interaction. The method comprises the following steps: obtaining current public opinion monitoring data of each platform and platform user distribution information of each platform, and extracting public opinion feature information of each platform through a public opinion feature extraction strategy based on the current public opinion monitoring data of each platform; identifying user population proportion information of each platform based on the platform user distribution information of each platform, and identifying public opinion change trend information of each platform through a public opinion change analysis strategy based on the public opinion feature information of each platform and the user population proportion information of each platform; constructing a comprehensive public opinion change correlation graph through a multi-platform public opinion interaction correlation strategy based on the public opinion change trend information of each platform, and predicting public opinion risk information through a public opinion risk analysis strategy based on the public opinion change correlation graph. The method can improve the accuracy of public opinion monitoring and analysis of multiple platforms.

The invention relates to the technical field of vehicle-mounted electronic acoustics, in particular to a sound effect control method and system for a vehicle-mounted power amplifier, and the method comprises the steps: collecting vehicle type parameters and interior parameters, and collecting in-vehicle acoustic signals through a microphone array to construct an exclusive acoustic model; generating a customized sound effect parameter packet by adopting transfer learning based on the model, and issuing the customized sound effect parameter packet by OTA; receiving a user interaction instruction, and finely adjusting parameters through the neural network; and playing calibration signal acquisition feedback, verifying frequency response parameters and adjusting to form closed-loop optimization. According to the invention, self-adaptive adaptation is realized through multi-link linkage, the defect of isolated regulation and control in the prior art is overcome, and the pertinence and consistency of sound effect adaptation are improved.

The application belongs to the technical field of electric power survey design, and discloses an electric power survey design integration method and system for smart grid construction, which comprises the following steps: extracting preset engineering characteristics of existing survey results in a current engineering area, combining current engineering planning condition characteristics to form a sample set; inputting the sample set into a pre-trained graph neural network to output engineering application probability and instability risk score of each survey result, wherein the nodes of the graph neural network correspond to single survey result, and the edges are constructed based on spatial adjacency, engineering correlation or common participation in design relationship; generating design consistency constraints for survey results meeting a preset threshold; and finally checking the compliance of the design scheme and the constraints. The method realizes substantial integration of survey and design, improves design efficiency and quality, and reduces the risk of rework.

The invention discloses a risk early warning method, device and equipment for tool jamming caused by sand setting, a medium and a program product. The method comprises the steps that first drilling working condition data of a target well at the current moment are obtained, feature extraction is conducted on the first drilling working condition data, and key feature data are determined; analyzing the key feature data based on a pre-trained risk prediction model, and determining a risk index; generating an early warning signal when the risk index is greater than a preset threshold value, and generating a target task allocation scheme according to the early warning signal; and generating a target control instruction according to the target task allocation scheme, so as to control corresponding drilling equipment to execute an action corresponding to the target control instruction based on the target control instruction. According to the technical scheme, the potential sand setting drilling tool jamming risk can be timely and accurately found and timely adjusted, the subjectivity and limitation of traditional experience judgment are avoided, the maintenance cost of drilling equipment is reduced, and the drilling efficiency and the drilling safety are improved.

The application provides a data query method, device, equipment and storage medium. The method comprises the following steps: analyzing current query characteristics of business data in real time; selecting an adaptive index mode from a plurality of configured index modes according to the current query characteristics; and performing a query operation of the business data by using the adaptive index mode. The application realizes dynamic conversion of an index mode used in data query, guarantees adaptability between data index and query requirements, avoids the problem of data query limitations when a single fixed index strategy is used, thereby ensuring flexibility of data query, increasing scalability of data query, and improving efficiency of data query.

The application provides a ship load measurement method and system based on computer-aided images, and relates to the technical fields of computer vision and image processing. In view of the problems that in the prior art, when load measurement is performed, an effective response mechanism for the dynamic motion characteristics of a ship is lacked, the adaptability to bad weather such as rain and snow is poor, and a transient shielding compensation mechanism is lacked, the application adopts an unmanned aerial vehicle to cruise and collect video images, determines ship roll periods, trim periods and water splash distribution based on an optical flow method and a fast Fourier transform, constructs a motion phase function to predict a stable time and monitor a posture angle change rate in real time, controls the unmanned aerial vehicle to descend at a rain and snow actual falling speed to collect a draft image when the ship is stable, generates a composite image through multi-frame projection and time domain median filtering, and then performs rain and snow erasing and water splash removing, so that the interference of rain and snow and water splash on draft identification is reduced. The application improves the measurement precision, operation efficiency and environmental adaptability of load measurement.

The invention provides an in-flight aircraft distress event detection method and system and a readable storage medium, and the method comprises the steps: S1, recording a current moment t, constructing a state equation, and predicting an aircraft state parameter at the moment t; s2, measuring and resolving aircraft state parameters at the moment t; s3, judging whether the aircraft is in a distress state at the t-1 moment or not; if not, setting a threshold interval of the aircraft state parameters at the moment t by taking the aircraft state parameters at the moment t predicted in the step S1 as a reference; if yes, setting a threshold interval of the state parameters of the aircraft at the moment t according to the flight envelope; s4, calculating the membership degree of each state parameter corresponding to the three fuzzy marks; and S5, obtaining warning information of the aircraft at the moment t, taking the membership degree result and the warning information as input, and outputting an aircraft distress state judgment result at the moment t. The invention provides the autonomous distress tracking system for the aircraft, and the function of detecting the distress state of the aircraft by fusing the multi-source sensor data on the aircraft can be realized.

The invention relates to the technical field of computer vision image processing, and discloses a pasture material mass dynamic sensing method and device based on multi-domain feature decoupling and ordinal topological mapping. The method comprises the following steps: acquiring an original image of a target forage pile through an image sensor; spatial transformation is carried out on the original image to extract frequency domain features representing the physical granularity of forage, and meanwhile, multi-scale large receptive field convolution is applied to extract spatial features representing the three-dimensional gradient and the macroscopic contour of a forage pile; splicing the two types of features and generating a multi-domain decoupling feature through a feature fusion network; inputting the features into a topology mapping network, adaptively adjusting the shape of a Gaussian distribution function through learnable parameters in the network, and mapping the features into ordinal topology vectors; and determining the material volume grade of the target forage pile according to the ordinal topological vector. According to the invention, the features of different physical meanings are decoupled and fused from the image, and the accuracy of volume grade discrimination is improved through ordinal topological mapping.

The invention discloses a photovoltaic array adaptive global maximum power point tracking method and system. The method comprises the following steps: solving global maximum power point reference voltage and global maximum power point reference power output by a photovoltaic array based on current environment data by adopting a two-stage nested multi-strategy particle swarm algorithm; judging whether a preset accurate control switching condition is met or not according to the output power of the photovoltaic array and the global maximum power point reference power; if a precise control switching condition is met, switching to a self-adaptive super-spiral sliding mode control mode, otherwise, maintaining a PI control mode; driving a power switch tube in the DC-DC converter to act by using a PI control mode or a self-adaptive super-spiral sliding mode control mode; according to the method, reference parameters are solved through the two-stage nested multi-strategy optimization particle swarm optimization algorithm, a dual-mode switching mechanism of PI control and self-adaptive super-spiral sliding mode control is matched, accurate and rapid tracking of the global maximum power point in a complex environment is achieved, and steady-state power fluctuation is effectively restrained.

The application discloses a dysuria and urinary incontinence integrated monitoring and diagnosing system based on intelligent sensing, comprising: a bladder emptying evaluation module for real-time tracking of bladder shape and volume change and evaluation of whether the bladder is completely emptied; a detrusor contraction function evaluation module for real-time monitoring of the contraction strength and coordination of the detrusor and judgment of whether it works normally; a bladder pressure evaluation module for evaluation of bladder compliance and detrusor function by monitoring the elasticity change and pressure change of the bladder wall; a urinary flow rate determination module for real-time measurement of bladder shape change and urinary flow rate and evaluation of the urinary flow rate; a urethral obstruction and bladder outlet obstruction evaluation module for evaluation of whether there is obstruction in the urethra or bladder outlet by real-time monitoring of the shape change and pressure change of the bladder and urethra; and a data analysis and intelligent diagnosis module for providing dysuria diagnosis and treatment suggestion. The application not only improves the accuracy and operability of dysuria diagnosis, but also optimizes the clinical decision-making process.

The application belongs to the technical field of microorganisms, and discloses a salt and alkali tolerant squirrel mammalian coccus and application thereof. Mammaliicoccus sciuri ​ STM10, which is a gram-positive coccus, has been preserved in the China General Microbiological Culture Collection Center with a preservation number of CGMCC No.38450. The strain has salt and alkali tolerance, can play the promoting functions of nitrogen fixation, phosphorus dissolution and resolution, iron carrier production and protease production, and can be prepared into microbial fertilizer. Application of the microbial fertilizer can effectively relieve salt and alkali stress, improve the seed germination and growth ability of crops, improve the physical and chemical properties of saline-alkali soil, optimize the ion environment, promote the nutrient absorption of crops, and provide support for agricultural utilization of saline-alkali land.

The application discloses a transport hoisting intelligent scheduling optimization method based on multi-dimensional screening and trajectory analysis, which collects and analyzes multi-dimensional data of transport trajectories, task nodes, environmental parameters, operation timeliness and safety events and the like of historical hoisting operations, and constructs a hoisting operation path knowledge base containing space-time characteristics, risk weight and efficiency index; by using big data mining and machine learning algorithm, the optimal path mode and dynamic adjustment strategy under the typical operation scene are extracted; before actual operation, the optimal hoisting operation path is matched or generated from the knowledge base in combination with current task parameters and real-time environmental data, and dynamic optimization and real-time correction are supported. The application solves the problems that the traditional hoisting operation path relies on artificial experience, lacks data-driven decision and cannot adapt to complex dynamic environment, and significantly improves the scientificity, safety and efficiency of path planning, and reduces transport cost and accident risk.

The application relates to a music recommendation method and system fusing deep audio semantics and collaborative filtering, which comprises the following steps: receiving an original audio signal for pretreatment; inputting a preset deep neural network model to obtain a deep audio semantic feature vector; collecting music interaction behavior data of all users and constructing a user-song interaction matrix; adopting a preset matrix decomposition technology to decompose the user-song interaction matrix into a user latent factor matrix and a song latent factor matrix; when in a music recommendation scene, calculating a content-based music recommendation score according to the deep audio semantic feature vector, and calculating a collaborative filtering prediction score according to the user latent factor matrix and the song latent factor matrix; fusing the music recommendation score and the collaborative filtering prediction score to obtain a fusion recommendation score, and performing music recommendation according to the fusion recommendation score. Through the fusion of deep audio semantic analysis and collaborative filtering, the accuracy and novelty of music recommendation are improved.

This invention relates to the field of electrical automation technology and discloses an electrical automation control system and method with artificial intelligence, including a control center, a data acquisition module, a data analysis module, a control execution module, and a user interface. By combining artificial intelligence technology with the electrical automation control system, this invention solves problems such as insufficient real-time adaptive capability, inadequate data utilization, poor fault prediction capability, and insufficient energy efficiency management in traditional systems. It significantly improves the intelligence level, fault prevention capability, and energy management effectiveness of the electrical automation control system, providing more efficient and intelligent solutions for equipment maintenance, production scheduling, and energy optimization.

This invention provides a method for dynamic urban renewal based on deep reinforcement learning, relating to the field of urban renewal. The method includes: step S1, data acquisition; step S2, state prediction; step S3, hierarchical decision-making; step S4, execution feedback; and step S5, iterative optimization. Hierarchical decision-making, based on the urban state data in step S1 and the predicted state in step S2, implements hierarchical update schemes for macro-level, meso-level, and micro-level intelligent agents. This method transforms urban renewal from a one-time static planning process to dynamic adaptive decision-making that evolves with the urban system, thereby achieving dynamic adaptation of infrastructure and public services and avoiding negative impacts such as environmental damage, facility idleness, resource waste, and increased costs caused by mismatch.

The utility model relates to the technical field of plastic bottle production and processing device, and disclose a kind of bottle mouth burr finishing cutter for plastic bottle production, including support assembly, the top rear side fixed mounting of support assembly has displacement adjusting assembly, and support assembly top front side both ends fixed mounting has reverse rotation component, the top fixed mounting of displacement adjusting assembly has polishing assembly.The utility model is fixedly installed with reverse rotation component in the both sides bottom of device, can make when using this device, the reverse rotation component of setting can be combined with the work of forward polishing, improve the work efficiency of polishing.