67results about How to "Avoid limitations" patented technology

The invention relates to the technical field of printing and silk-screen identification, and particularly discloses an OCR (Optical Character Recognition) method and system for PCB (Printed Circuit Board) component printing and silk-screen. PCB images under visible light, near-infrared and ultraviolet light wavebands are acquired by utilizing a multispectral imaging technology, the visibility of characters is improved, and the interference of a high-reflection or shadow region is inhibited; the quality coefficient of the image is obtained by calculating the structural similarity of the image on different scales, and the quality coefficient is compared with a preset threshold value, so that a high-quality image is automatically screened out; the method comprises the following steps of: comprehensively analyzing each region by extracting contrast, brightness and sharpness data of a high-quality image, and determining and marking effective character regions; a dynamic time warping algorithm is adopted to calculate a deviation coefficient between an actual silk-screen characteristic and a design file characteristic, and whether a printing error exists in silk-screen or not is accurately recognized by comparing the deviation coefficient with a preset threshold value.

The invention provides an intelligent planning and budget evaluation method for high-standard farmland construction in hilly and mountainous areas. The method comprises the following steps: collecting current live data of a to-be-planned area; establishing an evaluation model of each planning index for predicting and evaluating each planning index value after different planning schemes are implemented, integrating the values into a multi-objective optimization algorithm, generating a plurality of different planning schemes based on live data, and finding an optimal planning scheme through iteration; values of decision variables are extracted from the optimal planning scheme, layer parameters are adjusted, and optimized planning maps are obtained and fused to obtain a final planning map; and generating an image set according to the final planning image, providing data for a metering center, and generating a budget file according to the data of the metering center and the budget template. According to the method, scientific, reasonable, efficient and accurate planning of the high-standard farmland in the hilly and mountainous areas is realized through the evaluation model and the multi-objective optimization algorithm, and meanwhile, budget management and resource allocation of the farmland construction project are performed in combination with budget evaluation.

The invention discloses a power grid construction subpackage management and control method based on big data, and the method comprises the following steps: collecting the data of a power grid construction site in real time, carrying out the preprocessing, and carrying out the storage through a distributed storage system; generating a comprehensive evaluation report by using the residual neural network and the graph convolutional network; adopting a particle swarm optimization algorithm to carry out subpackage provider selection and task allocation; predicting the construction progress through a long short-term memory network; performing image analysis on the video stream of the construction site by using a residual neural network and a single-time multi-frame detection algorithm; a Bayesian network and a multi-layer perceptron are used to predict construction risks, an isolated forest algorithm is used to carry out abnormal value detection on data, and a risk early warning report is generated and notified to related personnel. According to the invention, big data, deep learning and reinforcement learning technologies are fully combined, the power grid construction subpackage management and control method based on big data is described in detail, and the method has the advantages of high construction efficiency, accurate risk prediction and resource optimization.

The invention provides a three-dimensional point cloud-based geometric shape and position dimension measurement method and application thereof. The method utilizes a three-dimensional scanning technology to obtain three-dimensional point cloud data of an industrial part, and processes and measures the three-dimensional point cloud data through the following steps: 1, preprocessing: removing isolated points, outliers and Gaussian noise in the point cloud through filtering; 2, geometric feature extraction: extracting geometric features with linear and arc features, and dividing the geometric features into single-cluster point clouds; 3, straightness and roundness measurement: fitting the point clouds with geometric characteristics into a straight line or a circle so as to measure straightness and roundness; and 4, arc length measurement: providing a method for sequentially searching adjacent points on the linear point cloud, calculating the sum of the distances between the adjacent points, and further measuring the arc length. The application field of the invention comprises the measurement and the quality control of the part size in the manufacturing industry. The method performs non-contact measurement based on the three-dimensional point cloud data, and has the characteristics of high efficiency, high precision and strong anti-interference performance.

The invention relates to an odor diffusion early warning system for a livestock and poultry farm. The odor diffusion early warning system for the livestock and poultry farm comprises the following steps: acquiring odor emission source data of the livestock and poultry farm; processing information of the deodorization equipment is obtained, wherein the processing information at least comprises the equipment type and the operation state; on the basis of the processing information of the deodorization equipment, deodorization emission components are obtained; obtaining environmental data; the environment data at least comprises topographic data and meteorological data; establishing an early warning model, and obtaining an early warning threshold value and an early warning value based on the farm odor emission source data, the processing information of the deodorization equipment and the environmental data; comparing the early warning threshold with an early warning value to obtain early warning information; the livestock and poultry farm odor diffusion early warning system can efficiently and accurately solve the problems of monitoring and early warning of odor diffusion of a three-dimensional building farm; the real diffusion condition can be accurately reflected, and the response speed and accuracy of the early warning system are improved.

The invention provides a power line carrier and wireless communication combined power data transmission method and system, and the method comprises the steps: collecting the operation data of terminal power equipment in real time through terminal collection equipment in a power distribution area, and adding a timestamp for the data; and the hybrid communication sub-equipment transmits the operation data with the timestamp to the hybrid communication main equipment of the substation by using the power line carrier. And after receiving the data, the main device calculates the communication distance between the power distribution area and the transformer substation according to the timestamp information, and selects a proper communication mode. And the master device continues to monitor and calculate the bit error rate, obtains parameters such as the signal-to-noise ratio, the attenuation value and the interference intensity of the communication channel, and inputs the parameters into the pre-trained support vector machine to predict the current bit error rate. And based on a prediction result, a communication distance, a load and other factors, a pre-trained reinforcement learning model is adopted to adaptively select an optimal communication mode, and the communication mode is dynamically adjusted to optimize a data transmission effect.

The invention provides a tunnel multi-modal information processing and predicting method based on a Transform technology. The method comprises the following steps: S1, acquiring various sensor data of a tunnel and a vehicle; s2, constructing vehicle composite features according to the sensor data; s3, synthesizing the composite features into a corresponding one-dimensional data sequence, performing one-dimensional convolution processing, inputting processing results into a plurality of corresponding multi-layer perceptron to obtain composite feature weights, and obtaining weighted features according to the composite feature weights, adding position information to the convolution processing result of each one-dimensional data sequence, then carrying out cross-modal fusion, and carrying out projection transformation on the cross-modal fusion result to obtain a corresponding single-modal feature; and S4, weighting the single-mode features by using the weighted features, and inputting a weighted result into the constructed Transform model to obtain a tunnel risk prediction result. The method has the advantages of high prediction accuracy and high efficiency.

The invention discloses a three-dimensional clamp for metal plate welding, and relates to the technical field of metal plate welding, the three-dimensional clamp comprises a stable bottom plate, a fixed frame and a clamping and fixing mechanism are mounted at the top end of the stable bottom plate, the clamping and fixing mechanism comprises a fixed plate and a movable clamping plate, the fixed plate is arranged at the upper end of the front side of the fixed frame, and the movable clamping plate is arranged on the fixed plate. And movable clamping plates are arranged at the top end and the bottom end of the front side of the fixed plate. By means of the clamping and fixing mechanism and the multi-angle adjusting mechanism, when a metal plate is welded, the height and the angle of the metal plate can be adjusted according to the requirement during welding, the applicability of the metal plate in the working process is improved, the metal welding efficiency is improved, and the practicability is high. And the problem that in the welding process, when the angle and the height need to be adjusted, adjustment cannot be conducted, and consequently limitation occurs in the welding process is solved.

The invention discloses a traffic sign defect detection method and system based on SAM and Transform and a medium, and the method comprises the steps: collecting an image of a traffic sign, carrying out the preprocessing, recognizing the traffic sign in the image through a YOLO target detection model, generating a detection frame of the traffic sign, and framing a region where the traffic sign is located; inputting the detection frame and the corresponding image into an SAM model, and extracting the contour of the traffic sign; and simultaneously inputting the extracted contours of the traffic signs and contours of the traffic signs in a normal state in the database into a neural network classifier based on Transform for comparative analysis, finally outputting a defect detection result, and giving a specific defect type and a confidence score. According to the method, the YOLO target detection, the SAM model and the neural network classifier based on the Transform are combined, and the task of each stage can be optimized on the basis of the result of the previous stage, so that the final detection precision and efficiency are improved.

The invention discloses a fan rotating part anomaly detection method based on artificial intelligence. The fan rotating part anomaly detection method comprises the steps that S1, a fan rotating part sound signal set is constructed; s2, generating a fan rotating part sound signal feature vector set; s3, training to obtain a deep neural network model for detecting the abnormal state of the fan rotating part; s4, a hierarchical reinforcement learning algorithm is utilized to analyze and classify the feature vector set of the fan rotating part, and a high-level strategy judges whether to activate a low-level strategy according to the operating environment and the load condition of the fan and the overall change trend of the sound signal set; according to the low-layer strategy, whether an abnormal state exists or not is further judged according to the fan rotating component feature vector set; s5, denoising and filtering parameters of the sound signal set are adjusted in real time; and S6, when the low-level strategy identifies an abnormal state through analysis of the feature vector set, the system automatically triggers an alarm mechanism. According to the method, the fan anomaly detection cost is reduced, and the detection precision and the intelligent level are improved.

The embodiment of the invention provides a hard disk fault prediction method and device, equipment and a storage medium. The method comprises the steps of obtaining S.M.A.R.T. Data of a local to-be-predicted hard disk of a data center; performing dimension reduction processing on the S.M.A.R.T. Data of the to-be-predicted hard disk based on a principal component analysis method to obtain preprocessed S.M.A.R.T. Data of the to-be-predicted hard disk; the preprocessed S.M.A.R.T. Data of the to-be-predicted hard disk is input into a predetermined hard disk fault prediction model, a hard disk prediction result for the S.M.A.R.T. Data of the to-be-predicted hard disk is obtained, the hard disk fault prediction model is obtained through training of a long-short-term memory-converter model, and the S.M.A.R.T. Data of the to-be-predicted hard disk is obtained through training of the long-short-term memory-converter model. The hard disk prediction result comprises the health state and the remaining available life of the hard disk. By using the method, the long and short term memory-converter model can analyze the time domain features and sequence features of the hard disk S.M.A.R.T. Data in parallel under the condition of no mutual influence, the purpose of improving the hard disk fault prediction precision is achieved, the calculation efficiency is improved, the production operation and maintenance work is assisted, and the operation and maintenance cost is reduced.

The invention discloses an electric valve operation optimization method and system based on real-time data analysis, and particularly relates to the technical field of valve control. The operation state of the electric valve is monitored, the nonlinear hysteresis effect is analyzed, and the influence on the response precision of the valve is evaluated; meanwhile, the microscopic fatigue state of the mechanical part of the electric valve is analyzed, and the fatigue accumulation degree of the mechanical part is evaluated. And judging whether the electric valve runs at low efficiency or not by comprehensively analyzing the nonlinear hysteresis effect and the mechanical fatigue accumulation degree. When low-efficiency operation exists, the matching degree of the opening degree of the electric valve and fluid flowing is evaluated by analyzing fluid flow data, the stress distribution gradient of the sealing face is analyzed, and the sealing performance attenuation degree of the electric valve is evaluated. The opening and flow matching degree and the sealing performance attenuation degree of the electrically operated valve are comprehensively evaluated, the operation efficiency of the electrically operated valve is evaluated, the operation stability and accuracy of the electrically operated valve can be effectively improved, and efficient operation is achieved.

The invention relates to the technical field of biological medicines, and provides a pharmaceutical composition for treating liver cancer, which is prepared from the following raw material medicines in parts by weight: 3 to 8 parts of radix paeoniae rubra, 1 to 3 parts of fructus sophorae, 3 to 10 parts of rhizoma polygoni cuspidati, 3 to 20 parts of spica prunellae, 3 to 20 parts of herba hedyotidis diffusae, 3 to 10 parts of herba violae, 2 to 5 parts of turtle shell, 1 to 5 parts of radix angelicae sinensis, 1 to 3 parts of rhizoma curcumae, 1 to 3 parts of apios fortunei maxim and 3 to 5 parts of fructus polygoni orientalis. According to the technical scheme, the problems that in the prior art, after radiotherapy and chemotherapy are conducted on patients, obvious side effects can be generated, such as the symptoms of inappetence, nausea and vomiting, diarrhea, stomachache, dental ulcer and the like, and some patients have the symptoms of listlessness, weakness, shortness of breath, alopecia and the like are solved.

The invention belongs to the technical field of power distribution network data quality management, and particularly relates to a power distribution network multivariate time series data-oriented quality evaluation method, which comprises the following steps of: selecting power distribution network multivariate time series data quality evaluation dimensions based on power distribution network data characteristics and distribution characteristics; comprising integrity, normalization, consistency, timeliness, uniqueness and accuracy; designing an evaluation method of the power distribution network multivariate time series data quality evaluation dimension; designing a weight distribution scheme of each dimension, and determining the weight of each dimension; and according to the quality score of each dimension and the weight of each dimension, calculating the total score of the quality of the to-be-measured data, and evaluating the data quality grade. According to the method, multi-level, multi-azimuth and multi-angle analysis is carried out on the power distribution network data, so that one-sidedness and limitation in a traditional evaluation method are avoided, and the data quality can be reflected more truly by the result, thereby optimizing the enterprise decision flow, promoting the intelligent development of the power distribution network, and realizing more efficient and sustainable power data management.

The invention discloses a flavor spectrum component qualitative and quantitative analysis method of Maotai-flavor liquor, which comprises the steps of sample preparation, gas chromatography-mass spectrometry analysis, liquid chromatography-mass spectrometry analysis, sensory and chemical analysis, data processing, flavor spectrum construction and flavor component quantification and quality evaluation. According to the method, the main flavor components in the Maotai-flavor liquor can be identified, and the relative content of different flavor substances can be analyzed, so that the flavor characteristics of the liquor can be accurately evaluated, and the brewing process is optimized. The invention relates to the technical field of liquor beverage testing, and the method can realize comprehensive qualitative and quantitative analysis of various flavor components in Maotai-flavor liquor and accurately reflect the flavor characteristics of the Maotai-flavor liquor by combining gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry and combining sensory evaluation and chemical analysis means.

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 discloses an arch breaking scraper and a scraper conveyor, and belongs to the technical field of belt conveyor cleaning equipment. The arch breaking plate comprises an arch breaking plate body, a plurality of arch breaking teeth which are continuously distributed are formed at the bottom of the arch breaking plate body, the arch breaking teeth are used for conducting arch breaking treatment on hardened materials, and the materials after arch breaking can freely pass through gaps between the adjacent arch breaking teeth; wherein the ratio of the tooth root width H to the tooth height h of the arch breaking tooth is controlled to be 1-3 times. According to the arch-breaking scraper blade, the tooth height and the tooth root width of the arch-breaking teeth are optimally designed, so that the situation that the service life of the arch-breaking teeth is affected due to the fact that the strength of the arch-breaking teeth is reduced due to the fact that the arch-breaking teeth are too sharp can be effectively prevented; the situation that the space between every two adjacent arch breaking teeth is too large, the arch breaking operation on hardened materials with small hardened areas is missed, and then the arch breaking efficiency is affected can be prevented; therefore, the arch breaking efficiency and the service life can be well considered.

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.

The present invention belongs to the technical field of energy management, and discloses a building energy management system based on intelligent gateway edge computing; the method comprises: collecting energy usage data and environmental data inside a building; transmitting the collected energy usage data and environmental data to an edge computing node through an intelligent gateway; in the edge computing node, preprocessing the collected energy usage data and environmental data to obtain preprocessed data; based on the preprocessed data, constructing an energy usage pattern diagram, optimizing the structure of the energy usage pattern diagram, and identifying key nodes and key associations; according to the identified key nodes and key associations, formulating an energy optimization strategy using an optimization algorithm, sending the energy optimization strategy to the intelligent gateway, and controlling the energy usage equipment inside the building through the intelligent gateway, so as to realize efficient utilization of energy, improve the intelligence and automation level of building energy management, and reduce management difficulty and labor cost.

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 storage batteries, and provides an energy storage battery pole sealing performance detection device and method.The energy storage battery pole sealing performance detection device comprises a control machine, an air cylinder is fixedly connected to the top of the control machine, a sliding rod is slidably connected into the air cylinder, and a connecting plate is fixedly connected to the bottom of the sliding rod; limiting rods are fixedly connected to the two sides of the top of the connecting plate, a display machine body is arranged on one side of the exterior 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, and a barometer is fixedly connected to one side of the connecting piece. A communicating pipe is fixedly connected between the connecting piece and the shell; and the detection mechanism comprises a shell, the shell is fixedly connected to the interior of the control machine, and a plurality of supporting plates are fixedly connected to the exterior of the shell. By means of the technical scheme, the problem that in the prior art, sealing detection cannot be conveniently carried out on pole columns of various specifications is solved.

The invention provides a dynamic recommendation method for media content, which is applied to the financial field and comprises the following steps: responding to a request of a target user for acquiring a to-be-recommended media text, and acquiring target voice information of the target user; extracting target voiceprint information of the target voice information, determining behavior information and attribute information of the target user, and constructing an initial user portrait according to the behavior information and the attribute information; inputting the target voice information into a trained emotion recognition model, performing emotion spectrum analysis on the target voice information to obtain a real-time emotion, and constructing a real-time user portrait according to the real-time emotion and the initial user portrait; identifying a keyword of the target voice information, and crawling a preset number of media texts from a preset page by using the keyword to obtain a media text set; and selecting a media text from the media text set according to the real-time user portrait for recommendation.

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.