13results about How to "Scientific data support" patented technology

The invention relates to a method for detecting the infiltration state of a lithium ion battery, which comprises the following steps of: performing in-situ electrochemical impedance spectroscopy test on the lithium ion battery in a liquid injection infiltration process to obtain impedance spectroscopy data changing along with infiltration time; performing fitting processing on the impedance spectrum data by using a preset equivalent circuit model; wherein the equivalent circuit model comprises a transmission line model element used for representing the impedance characteristic of the porous electrode; extracting a capacitance value corresponding to the transmission line model element from the fitting result; determining the infiltration state of the lithium ion battery according to the variation trend of the capacitance value along with the infiltration time; wherein the increasing rate of the capacitance value is positively correlated with the infiltration rate of the electrolyte in the lithium ion battery. The invention also relates to equipment for detecting the infiltration state of the lithium ion battery, a medium and a computer program product.

The invention discloses a visual monitoring and shooting and intelligent identification external damage early warning method and system, and relates to the field of power transmission line safety monitoring. The method comprises the following steps: acquiring external damage accident information; reversely tracing from the power grid topology database based on the accident occurrence position to determine an affected user list; constructing a causal inference model, and carrying out anti-factual estimation on the power consumption of the affected user when no external damage is assumed to occur in the accident influence time period based on the power consumption characteristic data of the affected user in the historical accident-free time period; acquiring actual electricity consumption of a user; determining an electric quantity loss causal effect value according to a difference value between the actual electricity consumption and the anti-factual electricity consumption; and according to the effect value and user electricity price information obtained from the marketing system, generating an external damage follow-up loss list containing the electricity loss cost. According to the method, accurate accounting of the electric quantity loss is realized through a causal inference technology, and a full-link closed-loop system from pre-event early warning to post-event follow-up is constructed in combination with power grid topology analysis and multi-system data fusion.

This invention relates to a sealing performance testing unit, a multi-stage sealing performance testing system, and a method for sealing plugs. The testing unit includes: a loading assembly comprising an inner cylinder and an outer cylinder coaxially arranged and open at both ends, with a gap between them to define a confining pressure annulus. The inner cylinder is used to accommodate the sealing plug to be tested. An end sealing assembly is sealingly connected to both ends of the loading assembly to close the two end ports of the inner cylinder and the confining pressure annulus. A fluid channel system is disposed on the end sealing assembly, including a main fluid channel communicating with the interior of the inner cylinder and a confining pressure channel communicating with the confining pressure annulus. The confining pressure channel is used to connect to an external pressure source to apply radial confining pressure to the inner cylinder. The main fluid channel is detachably connected to the main fluid channel of another adjacent testing unit to form a multi-stage series testing loop. This testing unit can quantitatively analyze the pressure transmission mechanism and synergistic effect between multi-stage sealing plugs.

The application relates to the technical field of tunnel lining images, and particularly discloses a tunnel lining crack automatic detection and three-dimensional modeling method based on computer vision. The method comprises the following steps: collecting and pre-processing lining sequence images; constructing a neural radiation field model to reconstruct a three-dimensional geometric surface; adopting a deep convolutional neural network and an attention mechanism to segment cracks and map the cracks to a three-dimensional model; constructing a mechanical model under the constraint of a physical information neural network, introducing a solid mechanics equation into a loss function; performing internal stress field inversion and crack depth estimation; and fusing multi-source data to generate a digital twin model for safety evaluation. Through physical driving and visual feature fusion, the application eliminates geometric distortion caused by environmental interference, and improves the objectivity, accuracy and fine level of tunnel disease monitoring.

The invention relates to the technical field of pavement disease detection, and discloses a pavement disease intelligent positioning and quantifying method, which comprises the following steps: acquiring road surface image data and navigation data corresponding to the road surface image data; based on the morphological information of the disease, quantifying the disease length, the disease area, the disease average width and the disease maximum width to obtain quantified disease characteristics; establishing a corresponding relation between the image and the acquisition sequence according to the quantized disease characteristics, and searching navigation data corresponding to the skeleton pixel points; calculating latitude and longitude coordinates of scanning line boundary points according to latitude and longitude coordinates of a scanning center point in the navigation data, and converting any skeleton pixel point in the image into geographic coordinates of a disease so as to realize positioning of a disease target in a real geographic space; and making a disease GIS map based on the geographic coordinates of the diseases and the quantitative disease characteristics. According to the invention, each pixel point in the image is regarded as an independent positioning unit, so that the morphology of the disease can be presented more accurately.

The application discloses a kind of fine modeling methods for single-shaft gas turbine gas path system, including establishing single-shaft gas turbine gas path system's step-by-step compression compressor module, establishing single-shaft gas turbine gas path system's combustion chamber module, establishing single-shaft gas turbine gas path system's step-by-step expansion turbine module, based on the calculation method of compressor module outlet temperature, power consumption, the calculation method of each component mass, temperature of combustion chamber module outlet and the calculation method of turbine module outlet temperature, power, using Python simulation platform establishes single-shaft gas turbine gas path system model, obtains rated operating condition and actual operation data, the data of rated operating condition is input into the single-shaft gas turbine gas path system model built, and the dynamic characteristics of gas turbine are analyzed;It aims at solving the problem of insufficient accuracy caused by neglecting the change of specific heat capacity with temperature and the evolution of combustion product composition in the existing model.

This invention discloses a method and apparatus for rapid on-site determination of the sand-mud boundary line on the outer side of a beach, relating to the fields of marine geological survey, marine ecological restoration, and coastal zone monitoring. The method includes the following steps: S1, obtaining the sampling coordinates and median particle size data D of the sediment sample. 50 S2. Based on the median particle size data, calculate the mud content Φ of the sediment sample according to the pre-established linear fitting relationship between the median particle size and mud content. mud S3. Based on the median particle size data and the mud content data, calculate the sand and mud judgment index (SMI) by summing the mud content judgment index and the particle size judgment index; S4. Based on the sand and mud judgment index data, perform linear interpolation on two adjacent points on the cross-section to construct the interpolation function of the sand and mud judgment index along the cross-section direction. This invention is not sensitive to environmental interference factors such as clouds, waves, and water turbidity, and can be stably applied in complex environments such as silty coastlines.

The invention relates to the technical field of ocean engineering monitoring, and discloses an offshore wind plant meteorological and hydrological monitoring multi-mode power supply-communication integrated system, which comprises an underwater unit, a water surface unit and a shore-based monitoring platform, and is characterized in that data communication between the water surface unit and the shore-based monitoring platform is realized through a 4G module and a Beidou satellite; the underwater unit comprises an ADCP, a tide level meter, a noise measuring instrument, a direct-current stabilized power supply, a control circuit, a first acoustic communication machine and a water outlet alarm device. The direct-current stabilized power supply is respectively connected with the ADCP, the tide level meter, the noise measuring instrument, the control circuit, the first acoustic communication machine and the water outlet alarm device; the control circuit is connected with the ADCP, the tide level meter, the noise measuring instrument, the first acoustic communication machine, the water outlet alarm device and the like. The system can realize continuous real-time low-delay monitoring of meteorological and hydrological parameters of the offshore wind plant.

This invention discloses a lossless compression transmission method and system for narrowband channel data based on power protocols, belonging to the field of communication technology. The method includes: acquiring the original message from the power terminal; identifying the IEC 60870-5-101 / 104 protocol, stripping application layer protocol data units and extracting the core payload; constructing a dynamic mapping dictionary to map high-frequency protocol control information as short-byte indices; performing adaptive differential prediction based on recursive least squares on telemetry data to generate a differential residual sequence; performing adaptive arithmetic coding on the residual sequence to generate a compressed data stream; monitoring the length of the compressed data, and if it exceeds the narrowband channel payload limit, performing secondary fragmentation and adding a header containing sequence numbers and priority markers. This invention achieves high-rate lossless compression of power protocol data, effectively adapts to narrowband satellite channels, and significantly improves the reliability and situational awareness capabilities of power emergency communication in extreme environments.

The application discloses a general lightweight disease identification cable climbing device and method for stay cables and suspender, and belongs to the technical field of bridge detection. The device comprises a robot framework, a cable climbing mechanism arranged on the robot framework, a power module, an image acquisition mechanism and a control mechanism. The control mechanism is electrically connected with the cable climbing mechanism, the power module and the image acquisition mechanism. The device further comprises a protection mechanism. The protection mechanism protects the image acquisition mechanism and the control mechanism in a strong wind environment and improves the gripping force of the device on the suspender. The application can significantly improve the anti-slippage ability of the cable climbing device in a strong wind condition, reduce the falling risk and realize rapid and accurate detection of diseases of the stay cable and the suspender, thereby providing scientific and reliable data support for the maintenance and management of the bridge.

This invention relates to the field of carbon emission actuarial matching technology, specifically a method for matching carbon emission actuarial calculations in transportation systems using a BIM model. The method includes the following steps: receiving the BIM model file of a transportation project; performing lightweight processing and structured analysis on the model; extracting all component information and component association attributes from the model; and completing the standardized verification of the BIM model. Based on the analyzed BIM component information, the quantities of each component are automatically calculated according to the transportation engineering quantity calculation specifications, generating a standardized bill of quantities. This invention effectively solves the problem of the disconnect between the BIM model and actuarial work in existing technologies by constructing a full-process collaborative mechanism between the BIM model and the carbon emission accounting platform. It achieves fully automated and intelligent operation from model access and information analysis to actuarial report output, significantly improving the efficiency and accuracy of carbon emission actuarial calculations in transportation engineering.

This application relates to the field of coal mine safety mining and strata control technology, and discloses a multi-source real-time monitoring and comprehensive evaluation method for the decompression effect of surface fracturing. This method first identifies the main controlling strata causing the disaster based on geological data and deploys surface horizontal wells; it then constructs a multi-source three-dimensional monitoring network including surface stations and downhole deep-hole sensors. During fracturing, a rolling time window is used to capture microseismic event flows, and the spatial distribution fractal dimension is calculated in real time and compared with a target threshold. Based on the comparison results, the complexity of the fracture network is determined, and dynamic commands for maintaining pump injection or temporary plugging and diversion are generated. The temporary plugging and diversion process forces the fractures to expand in a more complex manner. After construction and during mining, the decompression effect is comprehensively evaluated and verified based on microseismic data coverage, b-value, and mine pressure manifestation indicators. This invention achieves real-time quantitative control of fracturing fracture morphology, significantly improving the fracture volume of hard roofs and the decompression treatment effect.

The invention provides a correlation characterization method for heat production and Li < + > / Ni < 2 + > mixed arrangement in a ternary lithium battery high-temperature cycle process. The correlation characterization method comprises the following steps: assembling a ternary lithium battery for charge-discharge cycle; the method comprises the following steps: carrying out test characterization on a crystalline state of a ternary lithium battery positive electrode material in a circulation process by utilizing XRD (X-Ray Diffraction), carrying out peak position identification and intensity analysis on a crystal phase diffraction peak by adopting TOPAS software, and calculating an intensity ratio of the diffraction peak of the crystal face (003) to the diffraction peak of the crystal face (104) as I003 / I104; utilizing an LAND-CT2001A battery test system to measure the specific capacity Q and the lithium ion diffusion coefficient D of the ternary lithium battery under the 1C charge-discharge rate of 2.8-4.3 V; meanwhile, an eight-channel isothermal calorimeter combined with an LAND-CT2001A battery testing system is used for measuring heat flow parameters corresponding to the charging and discharging times of the ternary lithium battery at the temperature of 50 DEG C, and heat flow curves under different cycle times are drawn; based on the drawn heat flow curve, the heat production amount and the heat production power are obtained through derivation, and correlation characterization of ternary lithium battery high-temperature circulation heat production and Li < + > / Ni < 2 + > mixed arrangement is achieved.