41results about How to "Clear guidance" patented technology

The invention relates to an accurate train parking method for generating a parking strategy based on a fixed distance. The method generates the parking strategy at the fixed distance from a parking point and executes the parking strategy immediately. The fixed distance can be any value within 0-1000 m. Parking strategy information only needs to be generated once during a process of accurate parking at a platform. A virtual deceleration is deduced according to the position and speed at the fixed distance from the parking point, and then two levels are determined to be used for parking control according to the virtual deceleration. The two levels only need to be switched once during the process of accurate parking without frequent switching, so as to prolong the service life of a relay interface. In addition, the two levels can be a combination of any two brake levels provided by a vehicle manufacturer. When the project is implemented, the cost of manpower and material resources is significantly reduced according to actual braking parameters provided by vehicles.

The invention discloses an industrial control flow acquisition and protocol analysis method. The method comprises the following steps: acquiring data based on a mirror image port of an industrial control network switch; preprocessing the acquired data, wherein the preprocessing comprises restoring a network session of a transmission layer, identifying an application protocol and extracting structured metadata; respectively carrying out classified storage on the network session passing through the reduction transmission layer, identifying an application protocol and extracting various types ofdata subjected to structured metadata processing; and according to a set rule, monitoring and analyzing the classified and stored data, and finding out abnormal data. According to the invention, flowdata is accessed in a mirror image mode, so that risk hidden troubles during deployment of series equipment are avoided. Meanwhile, a five-layer processing architecture of acquisition, preprocessing,analysis, storage and return is established, the effect of each architecture level is clear, a clear guiding effect is achieved for acquisition and analysis of industrial control flow, and role overlapping of each layer is avoided.

The method uses self-learning mode to construct equipment state probability model with probability nervous network based on dynamic data of equipment operation. The model adjusts its probability distribution by following to the equipment operation to describe variation rule of the equipment state dynamically. Relying on the model, the dynamic evaluation rule of the equipment state is studied and simultaneously the threshold for different state is set up to form adaptive alarming limit for the equipment operation. The equipment state can be graded in three classes of normal, fault and quick deterioration by utilizing this adaptive alarming method.

The invention discloses an analysis method of a metamaterial equivalent circuit for a wireless electric energy transmission system. The method comprises: each metamaterial unit is equivalent to an RLCresonance circuit including a resonance coil, an additional capacitor and a dielectric substrate; the RLC resonance circuits are adjusted and thus when the resonant frequency of each metamaterial unit is the operating frequency of the system, the equivalent magnetic permeability is -1; the N metamaterial units are arranged and combined according to the periodic structure of the array to obtain ametamaterial; the metamaterial is loaded between a transmitting coil and a receiving coil and mutual inductance values between the modules are calculated; a circuit matrix equation of the system is established to solve circuit parameters, and then the transmission efficiency of the system is calculated; and then the distance between the metamaterial and the transmitting coil is changed to obtain an optimal intervention position. Therefore, the acting rule and coupling mechanism of metamaterial loading to the wireless electric energy transmission system are analyzed deeply and accurately; and the analysis process is simplified.

The invention relates to a multi-destination route guiding system and a guiding method thereof. The guiding system comprises at least one display unit which is arranged along the multi-destination route and provides route guidance; a control device which is connected with the at least one display unit to control the display unit to sequentially and dynamically display different guiding instructions, and at least one guiding instruction correspondingly instruct one destination. The guiding system can be used for the multi-destination guidance so as to guide vehicles and passengers to reach different destinations by displaying different guiding instructions. Moreover, the invention also relates to a multi-destination guiding method.

The invention discloses a positioning method for UPFC damping control. Positioning of a UPFC stability controller is carried out by a damping matrix decomposition analysis method DTA according to a whole-system linear model, so that DTA calculation result is associated with a damping torque provided to a generator in a power system by a controller and the participation property of the generator into a specified electromechanical oscillation mode; and the physical significance is relatively clear. The positioning method has the beneficial effect that the process that the controller affects the specified electromechanical oscillation mode of the power system is specifically provided, so that a guidance with clear physical significance is provided for selecting a stable signal of the controller.

The invention discloses a multi-agent cooperation model based on deep reinforcement learning, which comprises a centralized Critic network, a plurality of distributed Actor networks and a Q value decomposition network. Each Actor network interacts with an environment to generate state-action information, the state-action information is stored in an empirical buffer area, the Critic network samples from the empirical buffer area, all state-action information serves as input, a global reward R is designed with the task of the cooperation multi-agent system as a target, and a global action value Qtot is obtained through learning in a TD error mode; the Q value decomposition network decomposes the global action value Qtot into action value Qi based on a single agent, and gradient update of each Actor network depends on the action value Qi of the corresponding single agent after decomposition. According to the method, the consistency of the global optimal action and the local optimal action is ensured, so that the exploration efficiency of multiple agents in a continuous action space is improved.

The invention discloses a taper detection device which comprises a small-end positioning sleeve and a large-end positioning sleeve, and is characterized in that a small-end hole with standard inner diameter is formed in the small-end positioning sleeve; a large-end hole with standard inner diameter is formed in the large-end positioning sleeve; the pore sizes of the small-end hole and the large-end hole are different; the small-end hole and the large-end hole are formed in the same axis; one end of a length measuring tool is connected to the small-end positioning sleeve, and the other end of the length measuring tool is contacted with the large-end positioning sleeve; a detection part with taper is arranged from the large-end hole along the direction of the small-end hole; and the value of the axial distance between the small-end hole and the large-end hole is measured by the length measuring tool. According to the taper detection device disclosed by the invention, the deviation direction of the detection part can be conveniently obtained, the device has function of clearly guiding the part machining adjustment, the part machining accuracy and the yield are improved, the equipment is simple in structure and small in size, the device can be conveniently used on the production site, the measurement efficiency is high, and the part machining production efficiency is improved.

The invention discloses a fault handling method and device, a medium and equipment, and the method comprises the steps: obtaining alarm information, and determining a target fault instance according to the alarm information; obtaining a fault analysis model, performing root cause analysis on the target fault instance through the fault analysis model, and determining a root cause, a loss stopping point and/or a loss stopping suggestion of the target fault instance; matching a target disposal strategy according to the root cause, the loss stopping point and/or the loss stopping suggestion, and generating a fault solution for the target fault instance according to the target disposal strategy; calling a preset standard processing flow to execute the fault solution to obtain an execution result; and verifying the execution result to complete the disposal of the target fault instance. According to the method provided by the invention, the root cause of the fault is positioned more meticulously and quickly, loss stopping points can be determined, loss stopping suggestions are provided, a disposal strategy is automatically matched, automatic standard process disposal of the fault is executed, and the efficiency and accuracy of fault disposal are improved.

The invention relates to a VaR-considering electric power large user flexible load evaluation method and system. The method comprises the steps of collecting five-dimensional historical data of electric power large user flexible load participating in system peak regulation scheduling; grouping the electric power large user data by taking users as units; using Monte Carlo simulation to separately simulate the data of each dimension; separately establishing a frequency distribution map for each dimension data; determining a confidence level of the data of each dimension; determining quantiles ofthe data of each dimension, and querying parameter values corresponding to the quantiles of the data of each dimension in the frequency distribution diagram, wherein the parameter value is the VaR evaluation index under the confidence level corresponding to each dimension. According to the method, corresponding risk value evaluation indexes can be given according to different risk bearing capacities of the power grid, clear, comprehensive and accurate guidance suggestions are given to flexible load scheduling of large power consumers, and the stability and economical operation of the power grid are improved.

The invention provides a virtual makeup removal method for simulating a makeup image based on a dual generative adversarial network, and solves the technical problem that the makeup removal effect is poor due to the fact that simulated makeup is influenced by facial information of a simulator and a simulated person. The method comprises the following steps: firstly, combining a makeup face image of a simulator and a face image of a simulation object into a first input matrix, and inputting the first input matrix into a makeup removal generator network to generate an image of the imitator without markup; secondly, combining the image of the imitator without makeup and the face image of the imitating object into a second input matrix, and inputting the second input matrix into a makeup generator network to generate a makeup image; then, respectively inputting the image without makeup and the makeup image into a discriminator network, calculating a loss function of the discriminator, and adjusting network parameters according to the loss function to obtain a makeup removal generator; and finally, inputting a to-be-detected face image into the makeup removal generator to obtain an image of the user without makeup. According to the method, the makeup image and the simulated person image are input into the makeup removal generator at the same time, and the good makeup removing effect is achieved.

The embodiment of the invention provides a financial lending demand prediction method and system based on network big data, and the method comprises the steps: obtaining the identification informationof a to-be-predicted target, wherein the identification information at least comprises the name and identity recognition number of a lending applicant; according to the identification information, obtaining a borrowing record of the to-be-predicted target from a preset network big database; inputting the borrowing and lending record of the to-be-predicted target into a trained borrowing and lending demand prediction model to obtain a borrowing and lending demand prediction result of the to-be-predicted target, wherein the trained borrowing and lending demand prediction model is obtained by training a plurality of borrowing and lending records with borrowing and lending probability marks. A borrowing and lending record of the to-be-predicted object is obtained through the network big database, and a prediction result of the to-be-predicted object is output by using the trained borrowing and lending demand prediction model with the borrowing and lending record as input. The prediction result is objective and accurate, clear guidance can be provided for precise marketing of the borrowing and lending platform, and the conversion rate is greatly increased.

The invention discloses a quantitative analysis method for the influence degree of papermaking fiber characteristics on mechanical properties of finished paper. The quantitative analysis method comprises the following steps: acquiring characteristic parameters of various papermaking fibers, papermaking process parameters of finished paper and mechanical property parameters of finished paper required by modeling and analysis; using a back propagation neural network (BPNN) to establish a relation statistical model between the papermaking fiber characteristics and the mechanical properties of thefinished paper, and analyzing the relation trend of the influence of the papermaking fiber characteristics on the mechanical properties of the finished paper one by one; and quantitatively analyzingthe influence degree of papermaking fiber characteristics on mechanical properties of finished paper based on an ash correlation analysis method. The method is simple and easy to implement, the methodhas the characteristic of simple modeling and analysis process; aiming at the only qualitative relationship understanding between the papermaking fiber characteristics and the mechanical properties of the finished paper at present, the invention provides a quantitative analysis method for the relationship between the papermaking fiber characteristics and the mechanical properties of the finishedpaper, reveals the quantitative result of the influence of the papermaking fiber characteristics on the mechanical properties of the finished paper, and plays an important role in guiding the production and research work of the pulping and papermaking industry.

The invention discloses a foundation grouting method for offshore wind power and a foundation grouting work barge for offshore wind power. The foundation grouting method for offshore wind power comprises following steps: cleaning an inner wall of a grouting outer pipe and an outer wall of a grouting inner pipe, cleaning a grouting pipeline and pre-rinsing the grouting pipeline in advance, diluting grouting material into grouting liquid, pouring grouting liquid into a grouting channel between the inner wall of the grouting outer pipe and the outer wall of the grouting inner pipe by means of the grouting pipeline in order to finish grouting operation, monitoring condition of grouting liquid which is not poured during grouting operation and condition of grouting liquid overflowing from the grouting channel. Emergency measures should be taken if requirements are not met. The foundation grouting work barge for offshore wind power comprises a barge body, a material placing area, a dilution water supply pit, an electric power supply room, a connection hose, mixers, grouting pumps and a monitoring device. The material placing area, the dilution water supply pit, the electric power supply room, the connection hose, the mixers, the grouting pumps and the monitoring device are arranged on the barge body. The foundation grouting method for offshore wind power and the foundation grouting work barge for offshore wind power have definite guidance effect and can promote development of construction of an offshore wind plant in our country.

The invention relates to a positioning method for low-bending-moment clamping of a small clamping surface of a complex bracket part. Through the method, low-bending-moment clamping of complex bracketparts with small clamping surfaces is realized, stability of part clamping is improved, clamping stress is effectively reduced, positioning accuracy is improved, deformation of parts caused by clamping force is reduced, and processing consistency is ensured. Mainly technical characteristics of the method are as the follows: (1) both a clamping surface of a bracket and a plane of a tool have high flatness; (2) the bracket and the tool are positioned through pin holes; and (3) the bracket and the tool are clamped and fixed through a reverse pull bolt. The method provided by the invention can beused for positioning of low-bending-moment clamping of a small clamping surface of a complex bracket part, and is used for converting a part from vertical processing to horizontal process, so that precision of the part is ensured, and the qualification rate and consistency are improved.

The invention provides a vehicle parameter generation method, device and equipment, and relates to the technical field of vehicles. The vehicle parameter generation method comprises the following steps: extracting a plurality of scene elements from historical use data of a vehicle; generating a scene case list according to the plurality of scene elements, wherein the scene case list comprises a plurality of scene cases; establishing a corresponding relationship between scene cases in the scene case list and vehicle functions; According to the corresponding relationship, generating vehicle parameters of the target demand function. The scene elements are extracted from the historical use parameters of the vehicle to obtain the scene use case, so that all factors in vehicle use or design can be more comprehensively considered, a clearer guiding effect is achieved for function development of the vehicle. Meanwhile, the vehicle subjected to function design from the scene has a better application prospect. And the actual requirements of the user can be met more comprehensively in use of various functions, so that the user experience is improved.