17results about How to "Simplify computational problems" patented technology

The invention belongs to the technical field of fermentation, and discloses a cloud computing-based fermentation tank fermentation process management and control service system and a cloud computing-based fermentation tank fermentation process management and control service method. Comprising the steps that an equipment end collects fermentation parameters in real time in the fermentation process and sends the fermentation parameters to a cloud computing platform; the fermentation parameters comprise fermentation characteristic parameters and fermentation control parameters; the cloud computing platform analyzes the fermentation characteristic parameters to obtain optimal fermentation control parameters; the cloud computing platform identifies deviation parameters in the fermentation control parameters collected in real time; the cloud computing platform judges and generates an early warning instruction or an adjusting instruction according to the deviation parameter; if the adjusting instruction is generated, the cloud computing platform calculates the adjusting quantity corresponding to each deviation parameter and sends the adjusting quantity to the corresponding equipment end; intelligent monitoring and control in the fermentation process are achieved through the cloud computing platform, the fermentation quality and yield can be effectively controlled, the fermentation efficiency is improved, and therefore the automation level and stability of the fermentation process are improved.

The invention discloses a drill jumbo working hour prediction method and device, electronic equipment and a storage medium, and belongs to the technical field of working hour prediction, and the method comprises the steps: updating an original particle swarm position formula of an SABO algorithm according to Cubic chaotic mapping, and generating a first SABO algorithm; updating an initial iteration formula of the first SABO algorithm according to Piecewise chaotic mapping, and generating a second SABO algorithm; updating a position iteration formula of the second SABO algorithm according to a golden sine algorithm, and generating an optimal GSABO algorithm; performing iterative training on an initial neural network model based on the optimal GSABO algorithm and the index data to obtain an operation man-hour prediction model; and performing drill jumbo working hour prediction on the target operation based on the working hour prediction model. According to the method, the model parameters are determined by optimizing the SABO algorithm through the two chaotic mapping and golden sine algorithms, and the accuracy and efficiency of predicting the working hours of the drill jumbo are improved.

The invention belongs to the field of ship automation control, and provides a ship automatic avoidance anti-collision method, device and equipment and a storage medium. The method comprises the following steps: constructing an anti-collision model based on deep reinforcement learning training to make an avoidance decision; when the grid sensor senses other ships, state information of the other ships is obtained, and a collision risk occurrence area is calculated based on the state information; when the collision risk occurrence area is overlapped with the sensing area of the grid sensor, judging whether the ship itself is an avoidance ship or a holding ship, if the ship itself is the holding ship, keeping the course and the speed unchanged, if the ship itself is the avoidance ship, calculating an avoidance decision, after the avoidance decision is executed, updating state information of the ship itself and other ships into environment information, and repeating the execution; the distance between the ship and other ships is larger than the threshold value or smaller than the threshold value, and there is no collision risk; the method aims at solving the problems that a traditional ship collision avoidance technology is not suitable for complex sea conditions and is high in calculation complexity.

The invention provides a robot system distributed formation control method and device based on a U-K theory, and the method comprises the steps: building a dynamic model of a networked robot system through employing a Newton-Euler mechanics method according to system parameters in the networked robot system moving in a two-dimensional space; according to a preset algebraic graph theory strategy, a communication relation between robots is established, a communication topological graph of a directed weighted graph with a directed spanning tree is set, and an expected formation control target is converted into a constraint equation. And combining the kinetic model with a U-K equation to calculate servo control force required by the robot system under the incomplete constraint to complete an expected formation control target, and designing a distributed formation controller under the condition of no leader by adopting a preset distributed formation control algorithm based on the servo control force. According to the technical scheme, the technical problem of lack of universality in related technologies is solved, the application range is expanded, generality and universality are achieved, and formation control stability is guaranteed on the basis of simplifying operation of control force.

The invention relates to the technical field of gas detection, and discloses a gas detection method and device for an infrared gas analyzer, and the method comprises the steps: obtaining the light cutting frequency of a light cutting device, capturing a photoelectric signal according to the light cutting frequency, determining a square wave signal, and if the square wave signal triggers an interrupt signal, judging a sampling mark of the infrared gas analyzer, if the sampling mark is true, a capacitance detector is called in a preset sampling period to convert the light quantity difference between the measuring gas chamber and the reference gas chamber into an electric signal; the sampling mark is changed to be false, the interrupt signal is eliminated, the electric signal is subjected to fast Fourier transform algorithm calculation to obtain a target signal amplitude value, the target gas concentration of the detected gas is obtained through the target signal amplitude value and a preset corresponding relation, and the preset corresponding relation represents the corresponding relation between the signal amplitude value and the gas concentration; the gas detection method for the infrared gas analyzer, which is more practical and more accurate, is provided by the method.

A method for generating typical watershed hydro-wind-solar hybrid scenarios based on an improved C-vine Copula model is proposed. First, based on long-term multi-energy complementarity requirements, multi-year runoff data from a power station and power output data from wind and solar power stations within the watershed are selected, outliers are removed, and missing values ​​are filled, completing data preprocessing. Next, runoff and wind / solar output are set as random variables, and nonparametric kernel density estimation is used to obtain the marginal distribution functions of each variable. Then, the improved C-vine Copula model is used to accurately characterize the spatiotemporal correlation between water, wind, and solar resources, deriving the joint probability distribution. Then, Latin hypercube sampling is used to collect uniformly random samples stratified, and K-means clustering is used to generate typical scenarios. Finally, the effectiveness of the scenarios is evaluated from the perspectives of temporal and spatial correlation and randomness. This technology can effectively address the randomness and complexity of water, wind, and solar resources, generating realistic typical scenarios, providing valuable reference for the planning and scheduling of watershed hydro-wind-solar hybrid systems.

The present invention belongs to the technical field of fermentation, and discloses a fermentation process control service system and method for a fermenter based on cloud computing; the system comprises: a device end collects fermentation parameters in real time during the fermentation process, and sends the fermentation parameters to a cloud computing platform; the fermentation parameters include fermentation characteristic parameters and fermentation control parameters; the cloud computing platform analyzes the fermentation characteristic parameters to obtain optimal fermentation control parameters; the cloud computing platform identifies deviation parameters in the fermentation control parameters collected in real time; the cloud computing platform determines whether to generate an early warning instruction or an adjustment instruction according to the deviation parameters; if an adjustment instruction is generated, the cloud computing platform calculates the adjustment amount corresponding to each deviation parameter, and sends the adjustment amount to the corresponding device end; the present invention realizes intelligent monitoring and control in the fermentation process through the cloud computing platform, can effectively control the fermentation quality and output, improve the fermentation efficiency, and thus improve the automation level and stability of the fermentation process.

The invention discloses a post-death arteriovenous differentiation angiography method, which greatly improves the diagnostic value of post-death angiography, selects two different fat-soluble angiography materials and stores the two different fat-soluble angiography materials in different containers to ensure that the two fat-soluble angiography materials are not mixed and polluted; carrying out corpse surface inspection and whole body tomography on the corpse to obtain a plain-scan image; filling the angiography material X into the arterial system of the corpse, and after filling, performing whole-body tomography on the corpse by using CT (Computed Tomography) equipment; filling the contrast material Y into the venous system of the corpse, and after filling is completed, performing whole-body tomography on the corpse by using CT (Computed Tomography) equipment; performing post-processing on the acquired image by using MIP and 3D VR technologies, observing the image of the artery system of the corpse acquired in S3, and focusing on whether the artery of the important part of the corpse has a disease or injury or not; s4, observing the vein system image of the corpse obtained in the step S4, and focusing on whether obvious trauma exists on the body surface of the corpse; the method can be widely applied to medical related fields.

The invention relates to the technical field of electromagnetic wave generation devices, in particular to a longitudinal and transverse wave electromagnetic ultrasonic transducer and a magnetic induction intensity calculation method. According to the longitudinal and transverse wave electromagnetic ultrasonic transducer, the unique five-layer sandwich structure permanent magnet layout is adopted, namely, the first permanent magnet is matched with the symmetrical second permanent magnets on the two sides and the third permanent magnet on the outer side, the magnetic pole directions of the different permanent magnets are arranged according to a specific rule, and meanwhile the longitudinal wave coil and the transverse wave coil are matched; therefore, the transducer can generate different Lorentz forces along the vertical direction and the horizontal direction so as to generate a plurality of different modal signals. The method has the advantages that the method can adapt to complex and changeable detection working conditions, meets diversified detection requirements, provides a more flexible and comprehensive solution for detection work, and effectively improves the accuracy and reliability of detection.

The invention discloses a compensation method and system for optimizing the Doppler effect of underwater UUV communication, and the method comprises the steps: initializing a Q table, defining a state space and an action space of a UUV, enabling the state space to comprise Doppler frequency shift, a signal-to-noise ratio and an error rate, enabling the action space to be the adjustment action of the frequency of the UUV, enabling the Q table to store the value of a state-action pair, and enabling the Q table to store the value of the UUV; q values represent long-term rewards possibly obtained after a certain action is selected, and all Q values are set to be 0 during initialization; based on the current state, selecting actions in the action space by using an epsilon-greedy strategy; executing the action and updating the state, and calculating an award according to an award function which considers the signal-to-noise ratio, the bit error rate and the energy consumption; updating the Q value, and updating the Q value in the Q table according to the calculated reward and the new state; and outputting an optimal strategy until the Q table converges.

The invention discloses a vehicle positioning calibration method and system based on a sensor and a marker, and the method comprises the steps: setting a plurality of calibration piles in a driving region of a vehicle, setting a two-dimensional code on each calibration pile, and storing the calibration parameters of the calibration piles in an associated manner through the two-dimensional codes; when the vehicle runs into the area range of the calibration pile, actual measurement parameters of the calibration pile are collected through a vehicle-mounted sensor, and calibration parameters stored in the two-dimensional code are recognized; and comparing the actual measurement parameters with the calibration parameters, and calibrating the position and the posture of the vehicle body based on a comparison result. According to the scheme, the efficiency and accuracy of vehicle positioning calibration can be improved.

The invention discloses an angular point acquisition method, a camera calibration method, a chip and a robot, and the angular point acquisition method comprises the steps: setting a target plane to be parallel to the optical axis of a camera, and controlling the field angle of the camera to cover the target plane; performing transmission transformation on the target plane to obtain pixel coordinates of a target angular point in the imaging plane; wherein the transmission transformation enables the camera to capture more feature points in the target plane in the imaging plane, and the feature points comprise target angular points. In conclusion, based on the cooperative design of the field angle of the camera and the target plane, transmission transformation is carried out on the target plane, the angular point coordinate data are obtained in the imaging plane, and the angular point coordinate extraction number and the extraction success rate can be guaranteed.

The invention provides a method and a system for calculating an equivalent included angle of an electric drive transmission shaft of a whole vehicle, a terminal and a medium. The method comprises the following steps: acquiring three-dimensional coordinates of three reference points randomly marked on a circular section of a preset position of the transmission shaft; based on the three-dimensional coordinates of the three reference points on the circular section, calculating to obtain a circle center three-dimensional coordinate of the circular section of the preset position of the transmission shaft; checking the circle center three-dimensional coordinates of the circular section of the preset position of the transmission shaft to obtain the calibrated circle center three-dimensional coordinates of the circular section of the preset position; calculating an included angle between an electric drive output shaft and a front transmission shaft, an included angle between the front transmission shaft and a rear transmission shaft and an included angle between the rear transmission shaft and a drive axle input shaft based on the three-dimensional coordinates of the transmission shaft preset position circular section calibration center; based on the included angle between the electric drive output shaft and the front transmission shaft, the included angle between the front transmission shaft and the rear transmission shaft and the included angle between the rear transmission shaft and the drive axle input shaft, the transmission shaft equivalent included angle is calculated. The equivalent included angle can be accurately and efficiently measured and calculated.

The application belongs to the field of electric power data processing, and particularly relates to a power short-term load prediction method based on deep reinforcement learning and transfer learning; the method comprises the following steps: obtaining multiple groups of different source domain power load data and performing preprocessing; training multiple power load source domain prediction models based on GRU network respectively by using the multiple groups of preprocessed source domain power load data and corresponding power fusion features; taking target domain power load data as input, selecting a source domain prediction model based on a time series double-depth Q network; performing dynamic distribution alignment on the source domain power load data and the target domain power load data based on a multi-core maximum mean difference algorithm, and adjusting model parameters of the selected source domain prediction model; migrating the adjusted model parameters of the source domain prediction model to a power load target domain prediction model based on GRU network; inputting the target domain power load data into the target domain prediction model, and outputting a prediction result of power load in a short term.

The utility model belongs to spline connection detection technical field relates to a device for detecting spline connection disc end surface tooth symmetry, include: work piece placing base, tensioning cover mandrel, tensioning cover, detection reference column, detection block, tensioning cover mandrel rotation connects work piece placing base, tensioning cover is covered and is established on the outer circumference of tensioning cover mandrel, and tensioning cover outer cover is equipped with spline connection disc, the boss of detection block is matched with spline connection disc end surface tooth groove, the top of detection reference column is equipped with detection reference groove, the utility model discloses through detection block and leads out the detection interface of spline connection disc end surface tooth, provides the contrast basis of detection device through detection reference column and blocks detection block, and the symmetry error of spline connection disc end surface tooth can be detected through the contrast of before and after detection value, therefore the utility model can effectively eliminate the clearance between spline mandrel and spline connection disc, and the accuracy of detection has been improved.

The invention relates to a photochromic method and a photochromic device for an object, and the photochromic method is used for carrying out light processing on all-black photochromic dye on the surface of the object, and comprises the following steps: separating a design pattern into monochromatic images of three channels of red, green and blue; tCyan, TMagenta and TYellow are obtained, and when light with the RGB values of (255, 0, 0), (0, 255, 0) and (0, 0, 255) irradiates the all-black photochromic dye, the time when the blue, the magenta and the yellow on the all-black photochromic dye are completely eliminated is TCyan, TMagenta and TYellow respectively, and when light with the RGB values of (255, 0, 0), (0, 255, 0) and (0, 0, 255) are irradiated on the all-black photochromic dye, the time when the blue, the magenta and the yellow on the all-black photochromic dye are completely eliminated is TCyan, TMagenta and TYellow; and projecting a single-color image of a red channel obtained by the S410 for Tcyan duration to the all-black photochromic dye, projecting a single-color image of a green channel obtained by the S410 for Tmagenta duration to the all-black photochromic dye, and projecting a single-color image of a blue channel obtained by the S410 for Tyellow duration to the all-black photochromic dye. Through the setting, the complexity of calculation is reduced, the time is saved, and the method can be conveniently operated on equipment with limited processing capacity.

The invention discloses a camera calibration method based on depth information, a chip and a robot, and the camera calibration method comprises the steps: 1, controlling a camera to collect the pixel coordinates of a target corner point from a target plane, and converting the pixel coordinates of the target corner point into the normalized coordinates of the target corner point through the internal reference of the camera; 2, converting the normalized coordinates of the camera center and the target angular point through the external parameters of the camera to obtain the converted camera center and the target angular point after the normalized coordinates are converted, and then drawing a ray to a target plane in a mode of connecting the converted camera center and the target angular point after the normalized coordinates are converted, the world coordinate of the intersection point of the ray and the target plane is marked as the world coordinate of the angular point to be calibrated; and 3, matching the world coordinates of the to-be-calibrated angular point with the world coordinates of the target angular point, and correcting the depth of the normalized plane according to a matching result until the matching result meets preset matching precision.