15results about How to "Improve the analysis method" patented technology

The invention discloses a method and system for analyzing high-voltage electromagnetic resonance noise of an electric vehicle, and relates to the technical field of automobile electromagnetic vibration noise, and the method comprises the steps: obtaining noise information data during the operation of the vehicle, the key parts of the vehicle comprising a high-voltage motor and a battery pack; the collected noise data are preprocessed and analyzed, and the noise data are decomposed into different frequency components. The invention further discloses a system for analyzing the high-voltage electromagnetic resonance noise of the electric vehicle. According to the system of the method for analyzing the high-voltage electromagnetic resonance noise of the electric vehicle, the high-voltage electromagnetic resonance noise of the electric vehicle can be rapidly analyzed through the automatic data acquisition and signal processing flow, the analysis efficiency is improved, and the analysis accuracy is improved by adopting an advanced signal processing algorithm and analysis technology. According to the method, the resonant frequency can be accurately identified, the resonant mechanism can be accurately analyzed, the analysis precision is improved, and the electrical system and structural characteristics of the electric vehicle are considered.

The invention provides a device for detecting corrosion rate after cathodic protection of a soil covering type storage tank, and belongs to the technical field of detection equipment for measuring electrical variables, the device comprises a tank body, a protective plate, bases, spherical seal heads, a corrosion rate detection mechanism and a calculation chip, the bases are symmetrically and fixedly connected to two sides of the bottom of the tank body, the spherical seal heads are fixedly connected to two ends of the tank body, and the calculation chip is fixedly connected to the spherical seal heads. Guide rails are symmetrically and fixedly connected to one side in the protective plate, limiting plates are fixedly connected to the two ends of each guide rail, a threaded rod is rotationally connected between the two limiting plates, guide rods are symmetrically arranged on the outer side of the threaded rod, a moving plate is in threaded connection to the outer side of the threaded rod, and the threaded rod is fixedly connected to the output end of a motor; the motor is fixedly connected to the inner top wall of the protective plate, a corrosion rate detection mechanism is arranged on one side of the movable plate, the calculation chip is electrically connected with the corrosion rate detection mechanism, and a corrosion rate calculation module is arranged and used for calculating the corrosion rate according to parameters collected by the corrosion rate detection mechanism and a preset mathematical model.

The present invention proposes a photovoltaic power generation prediction method based on a multi-head graph attention mechanism of multi-dimensional meteorological elements. On the one hand, the importance of multi-dimensional meteorological elements that affect photovoltaic power generation is studied, and the influence weight graph between multi-dimensional meteorological elements and photovoltaic power generation is modeled, and the influence weight of multi-dimensional meteorological elements on photovoltaic power generation is captured with the help of a multi-head graph attention mechanism. On the other hand, based on the spatial autocorrelation described in the first law of geography, the spatial dependence between photovoltaic power stations is modeled, and a method for mining the correlation between power generation between photovoltaic power stations is used with the help of a multi-head graph attention mechanism.

The automobile front door cover size detection device of the present disclosure comprises a part storage table for placing parts, a part grabbing hand for grabbing parts, a support component for fixing and clamping parts, a detection system comprising a data acquisition element, a data calculation system and a data display system, the data acquisition element is used for acquiring part data, the data calculation system is used for determining part size change value according to part data, and the data display system is used for outputting part size change value; a collaborative robot is used for moving the part grabbing hand, and the collaborative robot is used for moving the data acquisition element; a control system is in communication connection with the part grabbing hand, the detection system and the collaborative robot, the control system is used for outputting detection instructions, the detection instructions comprise gripping instructions, part moving instructions and scanning instructions, the part moving instructions are used for controlling the collaborative robot to move the parts through the part grabbing hand, and the scanning instructions are used for controlling the collaborative robot to move the data acquisition element to scan the parts to acquire part data.

The invention discloses a process control system for a disposable bioreactor, and the system comprises a data collection module which is used for collecting data in a production process in real time and generating csv files, and each csv file corresponds to a production batch; the data analysis module is used for selecting at least two csv files, selecting at least one parameter for comparison and generating a comparison result and a parameter trend chart; the parameter adjusting module is used for setting different parameter ranges according to different cultures and culture targets and adjusting parameters according to the comparison result to obtain parameter values and time finally set for next culture; and the automatic control module is used for controlling equipment according to the finally set parameter values and time of the next culture so as to ensure the optimal state of the production process. The invention further discloses a process control method of the disposable bioreactor. The method effectively solves the problem that in the prior art, setting of parameter values only depends on personal experience, it cannot be ensured that the production process is in the optimal state, and biological activity parameter values of final culture products are affected.

The invention discloses a method for analyzing electrical properties of SiC in a variable-temperature semiconductor device based on a first principle, and belongs to the technical field of performance analysis of semiconductor materials, and the method comprises the following steps: setting parameters and establishing a model; lattice distortion of SiC at different temperatures is simulated, cohesive energy is calculated, and stability is evaluated; analyzing the influence of lattice distortion on SiC state density and charge density; the generation of silicon defects and carbon defects in SiC is simulated, and the influence of the silicon defects and the carbon defects on cohesive energy, state density and charge density of SiC is calculated; and evaluating an electrical property change rule of SiC in a variable-temperature environment. According to the invention, the influence of lattice distortion and atomic defects of SiC at different temperatures on the electrical properties of SiC can be systematically researched, the electrical property change rule of SiC in a variable-temperature environment is disclosed, and a theoretical basis is provided for the application of SiC in a high-temperature and high-density heat flow environment.

The present invention discloses a method for extracting network information of mobile applications based on heuristic dynamic analysis, and belongs to the field of network information security technology. The present invention solves the problem that it is difficult for traditional dynamic network analysis methods and static network analysis methods in the prior art to fully extract effective network feature information for APPs; the present invention obtains program source code by reverse engineering the apk file of the application to be analyzed, traverses the key positions related to network information in the obtained reverse results, extracts and outputs static heuristic information and static network feature data; generates original traffic based on random action clicks and control coordinates, and realizes real-time decryption of common protocol traffic through an agent-based method, extracts relevant protocol feature parameters in plaintext and ciphertext traffic to obtain dynamic network feature data, cleans static network string variable results and dynamic network analysis results, and outputs the final results. The present invention effectively improves the efficiency of traffic generation and analysis, and can be applied to APP testing.

A brittle evaluation method of weathered granite under different confining pressures, comprising: drilling fresh granite rock samples from underground mine, and making standard test pieces under natural environment for 7 years of weathering; respectively performing triaxial compression synchronous acoustic emission test of the standard test pieces under different confining pressures, obtaining stress-strain relationship diagram, acoustic emission energy-cumulative energy-stress-time relationship diagram of each standard test piece; defining brittle index of weathered granite by acoustic emission cumulative energy B 3. Quantitative evaluation of the brittleness of weathered granite under different confining pressures. The present application does not completely depend on the change of stress-strain behavior, directly obtains from the acoustic emission signal parameters, is convenient and fast, has simple calculation process, improves the certainty of the brittle evaluation result, and has good application prospect for studying the deformation and failure of such mine surrounding rock and stable support in mine operation.

A method for automatically dividing IED attribute information in an SCD file of an intelligent substation can reasonably divide the attributes of an IED, and automatically generate corresponding IED attributes based on a program algorithm, so as to realize functions such as automatic verification of the correctness of virtual circuit configuration, automatic configuration and testing of a monitoring database, automatic generation and testing of a one-key sequential control database, and equipment ledger management. The attribute information after IED attribute division has broad application value in the fields of secondary equipment configuration and testing; that is, automatic division of IED attribute information is realized; the present invention enriches the substation SCD file analysis method, and after the IED attribute information is automatically divided, it can be applied to various fields such as automatic generation of configurations, automatic verification of configurations, and configuration simulation testing, which greatly improves the substation configuration file analysis and application capabilities.

The invention discloses a method and equipment for diagnosing a heat supply fault based on a topological relation and a medium, and relates to the technical field of heat supply fault diagnosis. The method comprises the steps of extracting first-level user data of secondary network operation data according to feedback data provided by a user, and converting the first-level user data into a first-level user decision tree based on secondary network topological relation data; calling a secondary network first-level warning threshold function, extracting user abnormal data in the first-level user decision tree, and checking whether the abnormal data has a sub-tree or not; under the condition that the sub-tree is found, extracting secondary user data from the secondary network cache; under the condition that the sub-tree is found in the secondary user decision tree, the upstream data and the downstream data of the sub-tree are checked, the position of the sub-tree and the positions of the upstream data and the downstream data are positioned, and the position of the sub-tree is returned. According to the method, the diagnosis capability of a heat supply fault auxiliary diagnosis program in an existing service system is enhanced by analyzing multiple topological relations.

The present invention provides a corrosion rate detection device for earth-covered storage tanks after cathodic protection, which belongs to the technical field of detection equipment for measuring electrical variables, and comprises: a tank body, a guard plate, a base, a spherical head, a corrosion rate detection mechanism and a computing chip, wherein bases are symmetrically fixedly connected to the bottom of the tank body on both sides, spherical heads are fixedly connected to both ends of the tank body, a guide rail is symmetrically fixedly connected to one side of the inner side of the guard plate, both ends of the guide rail are fixedly connected to limit plates, a threaded rod is rotatably connected between the two limit plates, guide rods are symmetrically arranged on the outer side of the threaded rod, a moving plate is threadedly connected to the outer side of the threaded rod, the threaded rod is fixedly connected to the output end of a motor, the motor is fixedly connected to the inner top wall of the guard plate, a corrosion rate detection mechanism is arranged on one side of the moving plate, and the computing chip is electrically connected to the corrosion rate detection mechanism, wherein a corrosion rate calculation module is arranged for calculating the corrosion rate according to parameters collected by the corrosion rate detection mechanism and a preset mathematical model.

The present invention provides a method for analyzing the relationship between microbiome-gut-brain axis signals and zebrafish neurobehavior based on multi-omics, and relates to the field of bioinformatics analysis technology. The method of the present invention constructs a zebrafish model of mental illness by inducing antibiotics, analyzes the changes in the microbial community structure, species composition, inter-group difference significance, and species differences of the intestinal tissue of the zebrafish model of mental illness to obtain intestinal microbial data, and screens out metabolomics and lipidomics biomarkers of zebrafish brain tissue of mental illness by performing non-targeted metabolomics and / or non-targeted lipidomics analysis on zebrafish brain tissue; and then analyzes the relationship between microbiome-gut-brain axis signals and zebrafish neurobehavior. This method can efficiently obtain the microbiome information, metabolomics and lipidomics information between the zebrafish model of mental illness and the normal control, providing an accurate and comprehensive analysis idea for the study of intestinal microbiome and neurobehavioral diseases.

The present invention discloses a method for modeling the transient synchronization dynamic characteristics of a doubly-fed wind turbine set. The method equates the doubly-fed wind turbine set to a grid-following converter at a transient synchronization time scale to simplify the analysis, verifies the influence of transient magnetic flux according to the models before and after simplification, thereby verifying the rationality of the simplified model, further qualitatively describes the transient synchronization characteristics based on the phase angle dynamic expression, accurately characterizes the dynamic response waveform based on the transient differential equation, improves the analysis method of the doubly-fed wind power instability boundary at a transient synchronization time scale, and provides a reference for improving the transient synchronization stability of doubly-fed wind power under large disturbances.

An analytical method for determining the trapped oil pressure and its extreme values ​​in gear pumps / motors includes the following steps: Step 1, determining the trapped oil region and its positional variables based on the gear pair meshing process; Step 2, an analytical solution method for the trapped oil pressure; Step 3, a fitting formula method for obtaining the unloading area; Step 4, an analytical solution method for determining the extreme trapped oil pressure and its occurrence location. This invention offers a simpler method, more reliable results, and more accurate extreme values ​​and their occurrence locations; it significantly simplifies existing numerical methods for determining trapped oil pressure; it clarifies that the extreme value of the trapped oil pressure occurs at the point where the unloading groove is about to close, rather than at the actual closure point, and the specific extreme value location depends on the size of the unloading area in the area where the unloading groove is about to close; the method, obtained from 3D feature measurement of the unloading area and an Excel trend line, is highly efficient, fast, and accurate, providing a reliable basis for the accurate evaluation of the extreme trapped oil pressure in external gear pumps / motors and effective control in product design.

The invention discloses an automobile front door cover size detection device. The device comprises a part storage table used for placing parts; the part feeding tongs are used for grabbing parts. The support component is used for fixing a clamping part. The detection system comprises a data acquisition element, a data calculation system and a data display system, the data acquisition element is used for acquiring part data, the data calculation system is used for determining a part size change value according to the part data, and the data display system is used for outputting the part size change value; the collaborative robot is used for moving the workpiece feeding gripper and moving the data acquisition element; the control system is in communication connection with the feeding gripper, the detection system and the collaborative robot, the control system is used for outputting detection instructions, the detection instructions comprise a gripping instruction, a part moving instruction and a scanning instruction, and the part moving instruction is used for controlling the collaborative robot to move parts through the feeding gripper; the scanning instruction is used for controlling the collaborative robot to move the data acquisition element to scan the part to acquire part data.