18results about How to "Reliable reference" patented technology

The invention discloses an industrial robot health state monitoring method and system based on digital twinning, and relates to the technical field of equipment monitoring, and the method comprises the steps: collecting the real-time state data of an industrial robot through a plurality of sensors, and enabling the real-time state data to be matched and aligned with a three-dimensional simulation model, and constructing a digital twinning model; obtaining twinborn data through the digital twinborn model after the adaptive model parameter update, and fusing the twinborn data with the real-time state data to generate a multi-source heterogeneous data set; feature data representing the health state of the industrial robot is obtained through feature selection to construct health indexes; and constructing a health state evaluation model based on the deep belief network, and taking the current health index parameters as model input to obtain an industrial robot health state evaluation result. Multi-source heterogeneous data such as vibration data and electrical data are fused, the health state of the industrial robot is monitored and evaluated in combination with digital twinning, and a reliable reference basis is provided for state monitoring and maintenance of the industrial robot.

The invention relates to the technical field of hydraulic engineering operation prediction, in particular to a hydraulic engineering operation trend prediction method and system. The method comprises the following steps: acquiring multi-source hydraulic engineering data, and generating a hydraulic engineering three-dimensional model through multi-source space fusion processing and three-dimensional model simulation; performing geometric complexity identification and stress path analysis on the three-dimensional model to determine key nodes in the water conservancy project; historical water conservancy data are obtained, time sequence conversion and potential mode mining are carried out, and potential modes related to engineering are obtained; performing stress superposition comparison on the key nodes of the water conservancy project and the potential mode to generate stress superposition comparison data, and iteratively adjusting the key nodes according to a result to obtain adjusted stress nodes; constructing a prediction model based on the adjusted stress node and the potential mode, performing operation trend prediction, and generating an operation trend prediction result of the water conservancy project; the high-precision and high-adaptability water conservancy project operation trend prediction method is realized.

The invention discloses a data processing method for determining a DNA nucleic acid organism through a biological nanopore, which comprises a series of key steps of data correction, noise filtering, event screening, level searching, sequence alignment and the like from the acquisition of original current data to the generation of a final DNA base sequence and the determination of the organism, and constructs a set of complete data processing flow. According to the method, comprehensive processing and analysis of biological nanopore current signals are realized, and DNA sequence information can be acquired in real time by adopting a mode of simultaneously acquiring and analyzing, so that the detection efficiency is greatly improved. Analysis can be carried out without waiting for the completion of all data acquisition, so that a lot of time is saved; the biological nanopore is used as a detection means, so that the sample preparation requirement is low, complicated sample treatment is not needed, and the data analysis process is clear.

The invention belongs to the technical field of biomedicine, and particularly relates to a renal clear cell carcinoma prognosis model construction method and system based on a metabolic gene set. The system comprises: a metabolic gene set data acquisition module for acquiring metabolic gene set data of a patient with renal clear cell carcinoma, the metabolic gene set data including CYP3A7, ST3GAL5, DBH, UGT2B7, GCNT4, LIPA, ITPKB, HS3ST1, GYG2, and CYP51A1; the survival time calculation module is used for calculating the survival time of the renal clear cell carcinoma patient based on the prediction model; the prediction model comprises a formula I for calculating the risk score of the patient and a formula II for calculating the survival probability of the patient at a certain time point; and the result output module is used for outputting a prognosis result of the patient based on the survival time of the renal clear cell carcinoma patient. The system can significantly improve the accuracy and reliability of prognosis of ccRCC patients, and has wide application prospects and commercial values.

The invention relates to the technical field of power system stability, and discloses a multi-stage electric vehicle cluster regulation potential quantification method, which comprises the following steps of converting an electric vehicle cluster into generalized energy storage equipment, and performing feature screening on electric vehicle stop data; carrying out support vector machine regression modeling, and determining a capacity boundary and a power boundary of the generalized energy storage equipment; constructing a self-scheduling model of the electric vehicle cluster based on economic incentive and user irrational consumption behavior influence, and determining a self-scheduling load of the electric vehicle cluster; calculating the rescheduling power and rescheduling capacity of the generalized energy storage equipment; and integrating to obtain a schedulable potential quantification parameter set, and quantifying the scheduling potential of the electric vehicle cluster according to the parameter set. According to the method, the schedulable potential of the electric vehicle cluster can be accurately evaluated, and various parameters such as the construction site, the number and the charging rate of the charging stations can be planned according to needs, so that resources are saved, and the service quality is improved.

The invention discloses an electronic file management system assisted by a block chain, and relates to the technical field of auxiliary file management, and the system achieves the omnibearing management and intelligent processing of file evidence through the organic combination of a collection unit, a recognition unit, an evaluation unit, an early warning unit, a strategy unit, a block chain storage unit and other modules. The acquisition unit is responsible for collecting file information and corresponding evidence data and cleaning and preprocessing the file information and the corresponding evidence data; the recognition unit is used for recognizing and analyzing evidences in different forms through character recognition, video processing and voice recognition technologies; the evaluation unit evaluates the identification result to generate a corresponding evaluation result; the early warning unit sends out an early warning instruction when the evaluation result does not reach the standard; the strategy unit generates a corresponding strategy according to the evaluation result and executes the strategy; and the block chain storage unit is responsible for archiving qualified file evidence data on a block chain to ensure the security and non-tampering of the data.

The utility model discloses a paint surface visual effect display board which comprises a bottom plate, a protruding part and a circular truncated cone part. The circular truncated cone part is arranged at the uppermost part, and the front surface of the circular truncated cone part comprises a plane and a convex surface; the protruding part extends outwards and downwards from the peripheral edge of the circular truncated cone part, and the front face of the protruding part is a convex face or comprises the convex face and a concave face. The bottom plate extends outwards from the peripheral edge of the bottom of the protruding part, and the upper surface of the bottom plate is a horizontal plane, an inclined plane or a curved surface. After all the surfaces of the display board are coated with the to-be-displayed paint, the human eye visual effect of the paint surface formed by the paint on the plane, the vertical surface, the convex surface and the concave surface can be visually observed, and the chromatic aberration caused by light and shadow and the angle-following different-color effect of the metallic paint containing the effect pigment can also be visually observed. And a visual and reliable reference is provided for customers to select coatings.

This application discloses a method and apparatus for detecting battery moisture. The battery includes a casing, terminals extending through the casing, and a sealing element disposed between the terminals and the casing. The method includes: calculating the bulk water permeability of the sealing element, which is the amount of water that permeates through the sealing element into the casing; calculating the gap water permeability of the sealing element, which is the amount of water that permeates through the interface between the sealing element and the terminals and the casing into the casing; and determining the total amount of water that has penetrated into the battery based on the bulk water permeability and the gap water permeability. This application's solution comprehensively considers the water permeability of the sealing element itself (i.e., bulk water permeability) and the gap water permeability between components such as the terminals that contact the sealing element to obtain the total amount of water that has penetrated into the battery after manufacturing. This allows for a more accurate assessment of the moisture intrusion situation inside the lithium battery, providing a more reliable reference for battery design, manufacturing, and use.

The invention proposes a path planning method for an unmanned aerial vehicle (UAV) based on a LoRa self-organizing network, and relates to the technical field of wireless communication networks. The method comprises: collecting environmental data around the emergency site through sensor nodes at the site, and using the LoRa self-organizing network to set a relay node for transmitting environmental data including position and time, and calculating the data transmission rate, time data and network transmission capacity data in the process of environmental data transmission according to the configuration parameters of the self-organizing network to establish a path planning mathematical model for the UAV, and solving to obtain an optimal path planning result; the invention establishes a path planning mathematical model for the UAV by establishing a LoRa self-organizing network and accurately calculating relevant data in the process of environmental data transmission, so as to quickly and accurately plan the optimal path, solve the problem of wireless communication for data transmission and path planning of relay UAVs, and realize the real-time collection, transmission, storage and management of environmental emergency information.

The invention discloses a novel RC column concentrated plastic hinge model research method based on lateral rigidity, and relates to the technical field of structural seismic resistance. The method aims at solving the problem that the simulation precision of an existing concentrated plastic hinge model is affected by the value of a multiplier n, and the multiplier n does not need to be defined by establishing the function relation between the spring rotation rigidity and the component lateral rigidity; the method comprises the specific steps of deducing a unit stiffness matrix of the cantilever column concentrated plastic hinge series model, establishing a function relationship between rotational stiffness and lateral stiffness, designing a state updating algorithm based on displacement loading control, verifying the accuracy of a new model, and comparing the accuracy of the new model with the accuracy of an existing model. Experimental results show that the model simulation precision is remarkably improved, the nonlinear behavior of the RC column can be accurately simulated without a multiplier n, and the method has important practical significance; the method is successfully applied to anti-seismic analysis of a plurality of typical RC frame structures, the calculation process is simplified, the calculation efficiency is improved, a more reliable and convenient tool is provided for structural anti-seismic design, and the popularization value is high.

The application relates to the technical field of lithology intelligent classification, in particular to a lithology intelligent classification system and method based on multi-modal data fusion, which comprises a data acquisition module, a feature extraction module, a cluster analysis module, a classification prediction module and a visualization module. Through preprocessing, sensitivity quantization and weighted feature space construction of the original drilling data of the tunnel, the improved K-means++ algorithm is combined to dynamically adjust the cluster number, generate the lithology category label, and display the distribution through the visualization interface. The application can effectively reduce noise interference, reasonably allocate feature weights, improve the lithology identification accuracy and robustness under complex geological conditions, and provide intuitive support for geological decision-making.

The invention provides a method for judging the critical height of overlying strata and correcting model selection of a support, which has influence on the load of a hydraulic support on a working face. At present, the overlying strata height influencing the working face hydraulic support load is mainly estimated through a theoretical calculation method, and an effective accurate judgment method is lacked. According to the method, a distributed optical cable breakpoint curve in the overburden strata and a working face hydraulic support load change curve are compared and analyzed, and the overburden strata critical height which can influence the working face hydraulic support load after coal mining is determined according to the corresponding relation of the two curves. On the basis, the maximum working resistance of the working face hydraulic support is obtained through correction calculation, and therefore an accurate basis is provided for parameter determination during follow-up working face hydraulic support model selection. Compared with other methods, the method is simple, convenient and reliable, and can provide important data support for working face strong mine pressure treatment.

The utility model relates to the technical field of starch sausage detection, in particular to a portable device for quickly detecting whether harmful substances in a starch sausage exceed the standard or not, which comprises a food processing titration instrument and an integrated test paper board, a piston is fixedly connected to the outer surface of the bottom end of the pressing type small-aperture pipeline, and an annular pressing thin plate is fixedly connected to the outer surface of the top end of the pressing type small-aperture pipeline. The portable device for rapidly detecting whether the harmful substances in the starch sausage exceed the standard or not has the advantages of simplicity and convenience in operation and comprehensiveness in detection, and a consumer can easily complete detection of nitrite, oil price, oil peroxide value and borax content in the starch sausage through simple pressing and titration actions; complex grinding, extraction and other steps are not needed, the operation difficulty is greatly reduced, the detection comprehensiveness is improved, and a detection result can be obtained in a short time.

The present application provides a method for automatically determining a fault in a turnout device, a determination device and a maintenance support system, the method comprising: a method for automatically determining a fault in a turnout device, the method comprising: step S1: when the turnout device operates normally, establishing a turnout operation current reference curve; step S2: dividing the time domain of the turnout operation current into a start-unlock time domain, a conversion time domain, and a lock-and-release time domain; step S3: obtaining a start-unlock time domain reference current array, a conversion time domain reference current array, and a lock-and-release time domain reference current array; step S4: obtaining a start-unlock time domain sampling current array, a conversion time domain sampling current array, and a lock-and-release time domain sampling current array; step S5: respectively calculating the linear correlation coefficients of each time domain reference current array and the sampling current array; step S6: comparing the linear correlation coefficient obtained in step S5 with the corresponding preset linear correlation coefficient threshold to determine whether the turnout device has a fault.

The present invention belongs to the field of active safety of automobile automatic driving, and provides a method for automatic detection of highway height restriction facilities based on binocular vision. Aiming at the problems of false detection and low accuracy of long-distance height measurement caused by the diversity of highway height restriction scenes and the variability of driving conditions, the accuracy of height restriction target detection is improved by optimizing the distribution of each sample of a binocular height restriction data set; local operators and global operators are used at the output end to improve the estimation accuracy of the distance and height of the height restriction target, and the distance and height of the height restriction facility are output in real time. The method provides assistance to large vehicle drivers when they pass through the height restriction section through a real-time visual interface display, and effectively reduces unnecessary vehicle damage and public property loss caused by misjudgment of drivers due to lack of experience when passing through highway height restriction facilities.

The invention discloses a vehicle endurance mileage determination method and device, equipment and a storage medium. Comprises: determining an initial endurance mileage of a target vehicle; acquiring a target charge state of the target vehicle, and determining a battery correction coefficient according to the target charge state; and determining the navigation condition of the target vehicle, and determining the final endurance mileage according to the navigation condition, the battery correction coefficient and the initial endurance mileage. By comprehensively considering multiple factors such as the initial endurance mileage, the target charge state, the battery correction coefficient and the navigation condition of the target vehicle, the final endurance mileage can be estimated more comprehensively and accurately, the deviation from the actual endurance mileage is reduced, and more reliable reference can be provided for a user. The accurate endurance mileage estimation can reduce travel anxiety and inconvenience caused by the error estimation of the endurance mileage, so that the user can plan the charging time and place in advance, the phenomenon that the vehicle breaks down in the driving process due to the exhaustion of the electric quantity is avoided, and the driving safety is guaranteed.

The invention discloses a risk assessment system and method based on gas marker detection, and relates to the technical field of intelligent assessment, and the system comprises a gas marker detection assembly which is used for collecting a detection sample according to an assessment index; the data preprocessing component is used for preprocessing the detection sample to obtain preprocessed data; and the risk assessment component is used for performing feature extraction and risk assessment on the preprocessed data to obtain risk data. According to the method, a CNN-TCN model is adopted, and a CNN layer can deeply excavate local spatial characteristics of gas marker data, such as concentration distribution and change trend; and the TCN layer can capture the time sequence dependence in the data and analyze the change rule of the gas marker along with time. And the two are combined, so that the model can construct more complex and comprehensive feature representation, and the accuracy of an evaluation result is further improved.

This application relates to the field of environmental monitoring technology, specifically providing a method, apparatus, storage medium, and electronic device for monitoring the construction environment. The method may include: during the construction of a tunnel boring machine (TBM) in a target area, collecting the original vibration signal generated by the TBM and the TBM's construction parameters; wherein the construction parameters include thrust and torque; inverting the pre-processed vibration signal from the original vibration signal to obtain a three-dimensional underground velocity model; obtaining the wave velocity change rate based on the underground three-dimensional velocity model, and obtaining index values ​​of rock mass anomalies based on the processed vibration signal; analyzing the construction parameters, the wave velocity change rate, and the index values ​​to obtain monitoring results for the target area; wherein the monitoring results include a risk level and response measures to address the risk level. The embodiments of this application can achieve dynamic monitoring of the construction environment and provide real-time risk warnings.