8results about How to "Reliable reference" patented technology

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.

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 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 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.

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.