80results about How to "Guaranteed comparability" patented technology

The invention relates to the technical field of battery testing, and discloses a truck lithium battery testing method and device based on Bluetooth communication. The method comprises the following steps: performing intelligent remote matching processing on Bluetooth identification information of a truck lithium battery management system to obtain a remote Bluetooth control key, and performing lithium battery data acquisition protocol test processing to obtain a dual-channel acquisition instruction set; performing dynamic voltage, current and temperature cooperative acquisition processing on the dual-channel acquisition instruction set to obtain a multi-dimensional battery working condition characteristic spectrum; remote parameter linkage calibration processing is carried out on the multi-dimensional battery working condition characteristic spectrum, an intelligent calibration control sequence is obtained, remote charging and discharging management test processing is carried out, and a battery running state monitoring record is obtained; and performing remote health assessment processing on the battery running state monitoring record to obtain a lithium battery performance test report. According to the lithium battery testing scheme, physical connection is not needed, operation is easy and convenient, and the real-time monitoring capability is achieved, so that the testing efficiency and flexibility are improved.

The invention relates to the technical field of data driving and landslide surge disaster prevention and control, and discloses a landslide surge height prediction method and system based on a sparrow optimization random forest model.The method comprises the steps that for a target landslide area, a corresponding landslide surge physical model is built, and test groups with different landslide volumes and water depths are set for testing; a corresponding test data set is obtained, and equal-proportion scaling is carried out according to Froude similarity criteria; the method comprises the following steps: preprocessing test data to obtain a corresponding data set, and dividing the preprocessed data set into a training set and a test set; building a sparrow optimized random forest model, setting input values of various parameters, enabling the training set to train the sparrow optimized random forest model, and predicting the maximum height of the landslide surge by using the label data set and the trained sparrow optimized random forest model. The system comprises a data acquisition module, a data division module and a landslide surge prediction module. According to the method, the maximum height of the landslide surge can be accurately predicted.

The invention relates to the technical field of enterprise supervision, in particular to a method for constructing an enterprise classification and grading supervision index system. According to the technical scheme, the method comprises the following steps of 1, determining a supervision target and a supervision range, and clearly supervising enterprise types and enterprise projects; 2, collecting various data related to the enterprise, including but not limited to financial data, operation data, market data and compliance data; and step 3, screening out key indexes having significant influence on enterprise classification and grading. According to the method, comprehensive and accurate evaluation is realized through multi-dimensional index screening and scientific classification, comprehensive weight determination and accurate quantitative evaluation; dynamic changes are adapted by means of regular updating, dynamic feedback early warning and flexible adjustment factors; and refined supervision and resource optimization are assisted by scientific threshold setting, enterprise development is promoted, and a benign interaction situation between supervision and enterprises is formed.

The invention discloses a plant salt tolerance grade evaluation method based on three-dimensional point cloud. The method comprises the following steps: obtaining three-dimensional point cloud data of a plant to be detected; processing the three-dimensional point cloud data of the plant to be detected, and removing noise and abnormal points in the data; inputting the three-dimensional point cloud data into a learning model to obtain three-dimensional point cloud data of each leaf of the plant to be detected; the salt tolerance coefficient of the three-dimensional point cloud data of each leaf is obtained, and the salt tolerance coefficient of the plant is obtained; carrying out salt tolerance evaluation and grading; the fresh weight of each plant is measured, and photosynthetic phenotype parameters of the plants are measured through a photosynthetic phenotype imaging system; and verifying and optimizing. According to the plant salt tolerance grade evaluation method based on the three-dimensional point cloud, the limitation of an existing plant salt tolerance evaluation method is overcome, salt tolerance key characteristics are extracted through the data dimension reduction technology to establish a salt tolerance evaluation membership function, plant salt tolerance quantification and automatic grade division are achieved, and the plant salt tolerance evaluation efficiency is improved. And a scientific basis is provided for screening salt-resistant varieties.

The invention discloses a wind power blade unmanned aerial vehicle inspection method and device, and belongs to the technical field of wind driven generators, and the wind power blade unmanned aerial vehicle inspection method comprises the steps: carrying out the unmanned aerial vehicle inspection of the front surface of a wind power blade to form first inspection information, and carrying out the unmanned aerial vehicle inspection of the back surface of the wind power blade to form second inspection information, the first inspection information comprises a first track point data set and a blade front image set, and the second inspection information comprises a second track point data set and a blade back image set; according to the first inspection information and the second inspection information, in combination with a wind power blade defect judgment condition, obtaining a wind power blade unmanned aerial vehicle inspection result; according to the wind power blade unmanned aerial vehicle inspection result, whether an unmanned aerial vehicle re-inspection mode is started is judged, if yes, the unmanned aerial vehicle re-inspection mode is started, and the wind power blade unmanned aerial vehicle inspection result is updated; and if not, the re-inspection mode is not started. The method can reduce the influence on the wind power plant operation and power generation efficiency, and improves the accuracy of the wind power blade unmanned aerial vehicle inspection result.

The invention discloses a cotton yarn stretching testing device, and belongs to the technical field of cotton yarn stretching testing devices, the cotton yarn stretching testing device comprises a stretching tester, the upper surface of the stretching tester is fixedly connected with a support frame, and the side surface of the support frame and the upper surface of the stretching tester are provided with clamp pieces; the humidity protection pipe is arranged on the outer surface of the supporting frame, and the outer surface of the supporting frame is fixedly connected with an electric push rod. Meanwhile, cold air can be blown into the sealed protective cover through an air cooler, a cold air pipe, a connecting pipe and an air outlet pipe to create a cold and wet environment, a temperature and humidity sensor can monitor the temperature in the protective cover in real time, and the limitation that a traditional cotton yarn can only be subjected to a stretching test under the dry condition is avoided; it is ensured that the test result is closer to the actual application environment, accurate control over the humidity and temperature of the test environment is achieved, and the stretching test of the cotton yarn under different cold air and humidity climates can be simulated.

The invention relates to the technical field of data processing, in particular to a calibration system and calibration method for inertial measurement units, and the system comprises a setting module which firstly determines a plurality of key point locations of a test aircraft and arranges a plurality of inertial measurement units according to the key point locations. The data acquisition module acquires the real-time acceleration of the inertial measurement unit according to a preset frequency. The comparison module compares the real-time acceleration of each unit, determines a first acceleration range according to the result, further determines a first calibration parameter, or adjusts the frequency, and sends out a secondary judgment instruction. And after receiving the instruction, the route judgment module draws a real-time route map according to the real-time acceleration, compares the real-time route map with a preset route map to determine a second calibration parameter, and adjusts the first acceleration range or sends out three judgment instructions if necessary. And after receiving the instruction, the temperature judgment module collects a real-time temperature value, draws a curve and analyzes the curve, and determines a third calibration parameter. And the calibration module comprehensively applies the parameters to calibrate the inertial measurement unit. The measurement accuracy of the inertial measurement unit is improved.

The invention discloses a product full life cycle carbon emission tracking method, which is embedded in a product carbon footprint management service platform, and specifically comprises the following steps: S1, formulating a product definition boundary and a truncation standard based on a carbon emission calculation formula; s2, data acquisition and accounting are completed according to local conditions, and real-time monitoring and data acquisition are carried out on all links in the product production process. According to the method, the total emission amount of greenhouse gases directly or indirectly generated by a product in the whole life cycle of the product is calculated, including the emission in the extraction, production, transportation, use and waste processes of raw materials, so that the calculation and result traceability of the carbon footprint in the whole life cycle of the product are realized. Accurate carbon emission data are provided for enterprises, the green level of the production process and technical equipment is improved, and the transformation of the enterprises and the society to low-carbon economy is promoted.

The invention relates to the technical field of computer machine vision, and discloses a plant growth condition monitoring method, system and device and a storage medium, and the method comprises the steps: obtaining a target plant image, inputting the preprocessed target plant image into an improved YOLOv9 model (comprising a backbone network, a feature fusion network and a prediction classification network), and obtaining a target plant image; obtaining a target plant detection image; performing feature extraction on the preprocessed target plant image through a backbone network to obtain plant multi-scale features; performing feature conversion, branch processing and feature fusion on the plant multi-scale features through a feature fusion network to obtain plant fusion features; performing classification processing on the plant fusion features through a prediction classification network to obtain a target plant detection image; and inputting the target plant detection image into an image semantic segmentation model (including an image super-resolution network and an image segmentation network) to obtain a plant binary image. The method effectively improves the accuracy of plant growth condition monitoring.

The invention discloses a screen soft proofing color correction method and a chromatic value measurement device, and relates to the technical field of printing, and the method comprises the steps: collecting a first display chromatic value of an original image on a screen soft proofing display; the original image is printed on selected art paper to form a first sample, and a first printing chromatic value on the first sample is collected; and the first display chromatic value and the first printing chromatic value are substituted into a chromatic aberration formula to calculate a first chromatic aberration, then multiple times of adjustment are performed through the obtained first chromatic aberration, objective evaluation and subjective evaluation are performed on the multiple times of adjustment, and an adjustment scheme in which the display effect of the display and the printing effect of the correspondingly printed sample sheet are closest is selected. The color effect of printing content on a printing carrier can be accurately restored on a screen, and time and cost are saved.

The invention relates to the technical field of road engineering, in particular to an asphalt pavement maintenance engineering carbon reduction accounting method and system.The method comprises the steps that a real-time production list of asphalt pavement maintenance engineering is obtained according to historical records, and a corresponding carbon reduction accounting target range is analyzed and determined; determining a carbon decrement accounting time range according to construction characteristics; according to the carbon emission energy type and the generation stage, carbon emission types are divided; according to the divided carbon emission types, carbon emission generated in the carbon decrement accounting target range and the carbon decrement accounting time range is subjected to accounting; based on the carbon emission of the similar asphalt pavement maintenance project, obtaining the standard emission reduction of the project; accounting the carbon decrement of the asphalt pavement maintenance project based on the obtained carbon emission generated by the asphalt pavement maintenance project and the corresponding project standard emission reduction; the accuracy and comparability of the carbon decrement accounting result of the green low-carbon maintenance engineering of the asphalt pavement are ensured, and targeted low-carbon environmental protection measures are given.

The invention discloses an arid region river flow deposition process simulation device and method, the device comprises an experiment water tank, a river simulation assembly, a first water tank and a second water tank, the experiment water tank is provided with an upstream end and a downstream end in the length direction, and the downstream end is provided with at least one water outlet; the riverway simulation assembly is arranged in the experimental water tank and comprises a first simulation layer and a second simulation layer which are sequentially arranged in a stacked mode in the vertical direction, the first simulation layer is formed by laying at least one of multiple first filling sediments with different components and / or thicknesses, and a channel with an upward notch is formed in the middle of the first simulation layer; the channel is provided with a water inlet close to the upstream end and a water outlet close to the downstream end, and the second simulation layer is formed by laying at least one of a plurality of second filling sediments with different components and / or thicknesses; the first water tank is connected with a water inlet of the channel; the second water tank is connected with a water outlet of the experimental water tank; therefore, the accuracy and repeatability of the experiment are improved, and the application range is expanded.

The invention relates to the technical field of cell culture, and discloses a stem cell differentiation degree identification method based on image features. The method comprises the following steps: continuously capturing multi-temporal image data in a stem cell culture process through a high-resolution microscopic imaging system, and generating an image and environment synchronous data set; processing the data set, extracting dynamic morphological features and texture change modes of the stem cells, and constructing a fusion feature set; outputting a differentiation process index based on the fusion feature set; a differentiation degree grade division rule is set, and a differentiation process index and differentiation grade mapping table is established; in a real-time application stage, acquiring real-time imaging data and environment readings, and inputting the real-time imaging data and the environment readings into an evaluation network to calculate real-time differentiation process indexes; querying the mapping table according to the real-time index to obtain a differentiation grade judgment result; comparing the judgment result with a preset target range, and if the judgment result falls into the target range, automatically executing differentiation state marking and culture parameter adjusting operation.

The invention relates to the technical field of data analysis, and particularly discloses a water quality parameter inversion method based on hyperspectral data analysis, which comprises the following steps: S1, carrying out grid division on a hyperspectral image, and obtaining a hyperspectral curve based on reflectivity values of pixel points in a grid; s2, sub-grids are determined according to the difference degree of the initial grid and the to-be-determined grid; determining a to-be-determined grid according to the existing sub-grids, determining the sub-grids again, and repeating the steps until no new sub-grids exist; counting the total number of the sub-grids, and determining a target image according to the maximum total number of the sub-grids; s3, grouping the target images, and ensuring that the number of groups is greater than a number threshold; determining representative images in the groups, and determining a training set and a verification set according to the representative images; and training a water quality parameter inversion model based on the training set and the verification set, and performing inversion on the water quality parameters. The diversity of the training set can be ensured, and the accuracy of artificial intelligence water quality inversion is improved.

The invention discloses a guide vane wear prediction method and system based on deep learning, and belongs to the technical field of mechanical fault prediction and maintenance, and the method comprises the steps: collecting real-time sensor data of guide vanes, and integrating historical wear data of similar guide vanes; identifying similar features of similar guide vanes, extracting key wear modes through the similar features, and establishing corresponding prediction models for different guide vanes; and based on the extracted features and the prediction model, analyzing the wear condition of the guide vane, and providing a wear prediction result. Through comprehensive monitoring and data analysis, the accuracy of guide vane wear prediction is improved, and the reliability of equipment operation is ensured. Through a real-time alarm system, dynamic management of different wear degrees is realized, maintenance work is effectively guided, fault risks are reduced, the service life of equipment is prolonged, and the operation and maintenance efficiency is improved. According to the invention, the abrasion problem can be prevented in advance, and the normal operation and safety of the water turbine are guaranteed.

The utility model discloses an ultrasonic extraction tube for testing a light elastic material, and belongs to the field of material testing instruments. The ultrasonic extraction tube for testing the light elastic material comprises an extraction tube body and a tube cap, wherein the tube cap is in threaded sealing connection with an opening in the upper end of the extraction tube body; the tube cap is connected with a support rod inserted into the hollow cavity of the extraction tube body; the lower end of the supporting rod is detachably connected with a blocking plate, the size of a gap between the blocking plate and the extraction pipe body is smaller than that of the elastic particles, a plurality of through plate holes are formed in the blocking plate, and the size of the plate holes is smaller than that of the elastic particles. The ultrasonic extraction tube for testing the light elastic material has the beneficial effects that the barrier plate is arranged in the ultrasonic extraction tube for testing the light elastic material, so that elastic particles can be completely immersed in extraction liquid, and the accuracy of experimental results and the comparability of data among laboratories are ensured; the supporting rod and the blocking plate are detachable parts, the structure is simple, and installation is convenient.

The application discloses a high-pressure gas particle counter with a laser diode as a light source, which comprises an optical detection unit, a gas path system and a standard particle reference system, wherein the optical detection unit is used for generating laser and dividing the laser into two independent light paths, i.e., a main light path and an auxiliary light path, and is used for irradiating a main detection area and an auxiliary detection area respectively and receiving a particle scattering light signal and converting the particle scattering light signal into an electric signal; the gas path system is used for selectively conveying a high-pressure gas to be measured and a standard particle gas to the main detection area and the auxiliary detection area; the application belongs to the technical field of gas particulate pollution monitoring, and aims to solve the problem that the output light power of a laser diode in the prior art will drift with the increase of working time and the change of temperature, thereby causing the measurement reference to be inaccurate, and achieves the technical effect that a real-time online dynamic calibration mechanism is constructed by introducing an auxiliary reference light path and the standard particle reference system, and the problem of the measurement reference drift caused by factors such as light source aging and temperature drift is effectively overcome.

The present invention discloses a method and system for intelligently collecting and processing sleep data, and relates to the field of biomedical technology. The system realizes comprehensive acquisition and in-depth analysis of sleep data by combining a sleep signal detection module, a signal feature processing module, and a breathing and heart rate abnormality algorithm module. First, the sleep signal detection module uses relevant breathing signal detection equipment and heart rate signal detection equipment to capture the breathing signal and heart rate signal of the patient during sleep in real-time monitoring. These original signals are then transmitted to the signal feature processing module, where comprehensive preprocessing and feature extraction are performed. After preprocessing, the system can not only extract basic sleep features such as apnea, normal breathing and heart rate variability, but also analyze sleep data more deeply. This detailed feature extraction enables the system to more accurately understand the patient's sleep state and health status.

The utility model relates to the related technical field of food detection, and discloses a pulp sampler for food detection, which is characterized in that a placing cavity is arranged in a placing cylinder, a clamping device and a sampling device are arranged in the placing cavity in a sliding manner, the clamping device comprises a placing plate, a plurality of sliding grooves are formed in the upper surface of the placing plate in an annular array manner, and the sampling device is arranged in the placing cavity. Sliding blocks are slidably installed in the sliding grooves formed in the array, claw plates are fixedly installed on the upper surfaces of the sliding blocks, and spring ropes are connected to the lower ends of the sliding blocks arranged in the array. The cutting plate is slidably mounted on the surface of the side through groove, so that a regular and consistent opening can be cut in the surface of the orange, a standardized pulp sample can be obtained, the cutting plate can complete cutting of the upper layer surface of the orange through simple operation, and compared with manual peeling or cutting, the time is greatly saved, and the sampling efficiency is improved.

The application discloses a kind of based on big model's exclusive team performance portrait generation and intelligent evaluation system, belong to artificial intelligence and performance management technical field.The system includes data acquisition module, index system management module, performance calculation engine module, portrait generation module, big model intelligent analysis module and visual display module.Index system adopts four-level structure, including six first-level indexes, twenty-four second-level indexes, fifty-eight third-level indexes and a number of fourth-level indexes.Performance calculation engine is based on difference ratio method to calculate index score, portrait generation module generates radar chart, star rating and ranking, and big model intelligent analysis module is based on big language model to carry out intelligent evaluation and ability analysis.The application realizes the scientificity, intelligentization and visualization of exclusive team performance management, and provides strong support for exclusive team construction decision.

The utility model discloses a mining cementing powder viscosity tensile testing device which comprises a bottom plate, two rails are fixedly installed on the top of the bottom plate, push-pull blocks are connected to the tops of the two rails in a sliding mode, and grabbing clamps are fixedly installed on the two opposite faces of the two push-pull blocks. Displacement sensors are fixedly mounted on one sides of the two push-pull blocks, an operator is fixedly mounted at the top of the bottom plate, and a stirrer is fixedly mounted at the top of the bottom plate. Through the arrangement of the stirrer, the stirrer can fully mix the mining cementing powder and the solvent, solid particles in the mining cementing powder and the solvent are ensured to be uniformly dispersed in liquid, the condition of caking or non-uniform mixing is avoided, which is very important for subsequent experimental operation and result accuracy, and the stirrer can continuously stir mucilage in the tensile test process, so that the tensile strength of the mucilage is improved. And solid particles are prevented from precipitating or layering. Therefore, the uniformity and consistency of the cementing powder in the experimental process can be ensured, and the reliability and comparability of experimental data are ensured.

The utility model relates to the technical field of animal husbandry, in particular to a forage grass type total mixed ration test comparison observation feeding pen which comprises a base, a surrounding plate, a baffle, a hinged door, a handrail, a feed box and the like. The number of the bases is two, the bases are arranged in a bilateral symmetry mode, baffles are connected to the front sides of the bases, surrounding plates are connected to the left sides, the right sides and the rear sides of the bases, hinged doors are connected to the baffles in a hinged mode, at least two handrails are connected between the left inner walls and the right inner walls of the surrounding plates, at least six feed boxes are connected to the tops of the bases, and feed grooves are formed in the tops of the feed boxes. The fodder box, the fodder trough, the fixing block and the monitor are arranged, fodder with different nutritional ingredients can be independently separated, herbivorous livestock is prevented from eating forage grass type total mixed ration with different nutritional ingredients at the same time, the accuracy and comparability of comparative observation are guaranteed, the corresponding fodder box is monitored through the independent monitor, and therefore the fodder box is more accurate and more convenient to use. Therefore, the condition that herbivorous livestock eat forage grass type total mixed ration in different feed boxes can be obtained.

This invention relates to the field of tunnel construction technology, and more particularly to a system and method for dynamically optimizing tunnel construction parameters based on geological information from point cloud data. At multiple monitoring time points, point cloud data is collected from the tunnel segment to be constructed, obtaining multiple point cloud datasets. The tunnel segment is divided into multiple construction areas, and multiple regional point cloud datasets are obtained from these datasets. Point cloud change analysis is performed on each regional dataset to obtain multiple point cloud change rates. Based on these regional point cloud datasets, reflection intensity analysis is conducted to obtain multiple reflection intensity coefficients. Combined with the multiple point cloud change rates, geological analysis is performed to obtain the distribution of concealed geological information. Based on this distribution, tunnel construction parameters are dynamically optimized to obtain optimized tunnel construction parameters for tunnel construction. This achieves the technical effect of improving the efficiency and safety of tunnel construction while reducing construction risks and costs.

This invention relates to the field of perioral muscle function detection technology, and discloses a flexible sensing integrated tongue muscle function detection system and method. The system includes: a brace-type flexible thin-film sensor, a wireless transmission module, and a control module. The brace-type flexible thin-film sensor is configured as a wearable brace structure, and internally contains a sensor array composed of multiple sensing units distributed in the maxillary and lateral tooth regions corresponding to tongue muscle activity. The wireless transmission module is located in the lateral region of the upper molars and is connected to the brace-type flexible thin-film sensor via a flexible printed circuit. The control module is connected to the wireless transmission module and includes a calibration module, an initial value determination module, a correction module, and a data storage and communication module. This invention achieves precise, non-invasive, and real-time monitoring of tongue muscle activity.

The application relates to the technical field of active sonar detection, in particular to a transmission waveform selection method for target wake field disturbance detection, which comprises the following steps: applying uniform engineering constraints to selected engineering realizable waveforms to construct a candidate transmission waveform set of a detection system; equivalent the influence of target wake field disturbance on sound propagation to a time delay perturbation process of multi-path propagation, and establishing a target wake field disturbance sensitivity model accordingly; using the target wake field disturbance sensitivity model, calculating the sensitivity indexes of each candidate transmission waveform in the candidate transmission waveform set and sorting, taking the candidate transmission waveform with the largest sensitivity index as the optimal transmission waveform most suitable for target wake field detection; instructing the transmission end of the detection system to transmit a sound wave signal based on the optimal transmission waveform. The method can improve the observability of weak propagation time-varying characteristics caused by wake disturbance, and make the selection of the transmission waveform have stronger explainability and scene adaptation ability.

The invention provides a sintering main exhaust fan energy efficiency evaluation method, device and equipment and a storage medium, and aims to overcome the limitation that an existing evaluation method is single in index, fuzzy in reference and incapable of quantifying each technical contribution degree. The method comprises the following steps: acquiring operation data of a historical reference period before the energy-saving system is put into operation, and calculating reference line indexes of power consumption per ton of sinter and comprehensive energy consumption; operation data of an evaluation period after commissioning is obtained, the evaluation period and a historical reference period are statistical periods with the same time length, and energy type and carbon effect type indexes of the evaluation period are calculated; and comparing the indexes and generating a visual evaluation report. According to the method, the comprehensive energy consumption scale and the carbon efficiency index are established, so that energy and carbon emission two-dimensional evaluation is realized; the data comparability is ensured through the matching period and the same-caliber statistics; and finally, an integrated report is generated, the data is converted into visual decision information, and a standardized assessment normal form is provided for energy-saving technology optimization and carbon asset management.

The invention relates to the technical field of education information processing, and discloses a companion bidirectional evaluation method and device, electronic equipment and a storage medium, and the method comprises the steps: building an evaluation group, determining a mutual evaluation object, distributing the homework content of an evaluated person to an evaluator, and feeding back the homework content evaluation result to the evaluated person after the evaluator submits the homework content evaluation result. The evaluated person performs quality evaluation on the homework content evaluation, and determines whether the evaluator has an abnormal evaluation behavior or not according to the homework content evaluation result set and / or the quality evaluation result set; and when it is determined that the evaluator does not have the abnormal evaluation behavior, a companion bidirectional evaluation result is obtained, so that bidirectional evaluation of the homework content and the evaluation quality is realized, abnormal behavior recognition is realized, the fairness of companion mutual evaluation is improved, and thus the teaching quality of companion mutual evaluation and the evaluation ability of learners are improved.

The invention relates to the technical field of craniocerebral injury biomechanical analysis, discloses a semi-automatic craniocerebral injury index CSDM extraction method, and aims to improve CSDM extraction efficiency, applicability and flexibility. The method comprises the following steps: a brain tissue area display state pre-selection step: importing a head model simulation result file into post-processing software, screening and retaining brain tissue entity unit components, hiding irrelevant components and recording parameters; a strain and volume frame-by-frame output step: compiling an automatic script based on a post-processing software secondary development function to realize frame-by-frame output of unit data; and an automatic operation step: automatically calculating the CSDM value of each frame based on the output file through a Matlab calculation program. According to the method, the problems that manual extraction is low in efficiency and prone to errors and a full-automatic method is poor in universality are solved through a manual preprocessing and automatic calculation fusion mode, and the method is suitable for various head models and supports craniocerebral injury mechanism research and clinical assistance.

The utility model discloses an impedance cabinet specially used for photovoltaic direct-current arc fault protection electric appliance detection equipment, which comprises a cabinet body frame and side cross beams arranged on the side surfaces of the cabinet body frame, and the cabinet body frame and the side cross beams are respectively provided with mounting holes arranged according to modulus. The side cross beams are arranged on the cabinet body frame through the mounting holes; the side cross beams are provided with fixed vertical plates located in the cabinet body frame, the front side of the cabinet body frame is provided with a front sealing plate, and the front sealing plate is provided with a plurality of rectangular openings used for accommodating modularized impedance network modules and / or line inductance modules. And one end, far away from the front sealing plate, of the modularized impedance network module and / or the line inductance module is fixed on the fixed vertical plate. The photovoltaic impedance cabinet simulates line impedance in an actual line after the power supply cabinet outputs voltage-stabilizing and constant-current direct current, and provides approximately constant high-voltage impedance for a system so as to ensure comparability of different measurement results.

The invention provides a contaminated soil regeneration efficiency statistical method which comprises the following steps: establishing a standard library containing various contaminated soil samples, and analyzing the samples to establish a multivariate multi-coefficient model and a regression equation; and testing the soil sample to be tested to obtain pollutant response data, calculating the pollution index and response value of the pollutant by using the regression equation, and further evaluating the pollution degree and the regeneration efficiency. According to the method, the soil pollution condition can be accurately evaluated, the regeneration efficiency is calculated, and a scientific basis is provided for soil remediation.