90results about How to "Comprehensive data" patented technology

The invention discloses a long-distance high-pressure water delivery pipeline water hammer and leakage monitoring and positioning test device, which comprises a water tank, a water outlet side experiment unit, a water return side main path experiment unit and a water return side branch experiment unit, and is characterized in that the water outlet side experiment unit and the water return side branch experiment unit are communicated with the water return side main path experiment unit; the water outlet side experiment unit, the water return side main path experiment unit and the water return side branch path experiment unit are all communicated with the water tank. The device solves the problem that tiny leakage is difficult to monitor in the high-pressure water delivery process in the existing related test experiment technology, and the problems that the water hammer experiment signal precision acquisition is insufficient and the water hammer experiment causes impact damage to equipment. The invention further discloses a using method of the long-distance high-pressure water conveying pipeline water hammer and leakage monitoring and positioning testing device.

The invention relates to building structure monitoring, in particular to a monitoring device for health of a large-span building structure and an Internet of Things system. Which comprises an unmanned aerial vehicle and a monitoring server, and is characterized by further comprising a passive sensor and a reading transmission module, and the passive sensor is used for collecting state information of a building structure and wirelessly uploading the state information to the reading transmission module; the reading transmission module wirelessly uploads the state information of the building structure to the monitoring server. According to the invention, the RFID is combined with the sensor, so that the wiring work is omitted, and the workload of implementation and maintenance is greatly reduced; data are obtained through automatic cruise of the unmanned aerial vehicle, labor is saved, and punctual data are obtained; the Internet of Things is further wireless, the sensor at the tail end supplies power and obtains data in an RFID wireless mode, the most tedious wiring work is omitted, and arrangement and compensation of the Internet of Things sensors are facilitated.

The invention discloses a three-dimensional reconstruction method, system and device based on a satellite remote sensing image and a medium, and relates to the technical field of three-dimensional modeling, and the method comprises the steps: generating a digital surface model (DSM) of a target region according to the remote sensing image; generating a digital terrain model DTM according to the digital surface model DSM, and performing difference calculation on the digital surface model DSM and the digital terrain model DTM to obtain elevation information of the building; clustering roofs of the building according to the semantic segmentation map to obtain a corresponding instance segmentation map; performing polygon fitting on the building according to the instance segmentation map, and constructing a geometric model of the building in combination with elevation information; rendering the geometric model according to a preset PBR material model, and predicting material parameters of each point of the building in the geometric model according to a preset MLP model; and optimizing MLP parameters in the MLP model according to a pre-trained text graph diffusion model. The method has the effect of improving the accuracy and integrity of the building three-dimensional model.

The invention relates to the technical field of data analysis and support, and discloses a landscaping intelligent decision support system based on big data analysis. The system specifically comprises a greening data acquisition module used for acquiring growth state data and soil state data of greening plants in a transition area in a garden, and a morphological evolution degree evaluation module used for analyzing and evaluating morphological change conditions of the greening plants in the transition area in the garden, the resource balance degree evaluation module is used for analyzing and evaluating resource occupation conditions among green plants in a transition area in a garden; the decision support model construction module is used for constructing a decision support model; and the decision suggestion output module is used for converting decision support coefficients generated by the decision support model into maintenance suggestions of landscaping. The problem that in the prior art, when plant varieties need to be replaced in landscaping, the growth state and soil conditions of greening plants in a garden transition area cannot be comprehensively monitored in real time is solved.

The invention relates to the technical field of new energy automobile charging guns, and particularly discloses a new energy automobile charging gun insertion and extraction force test device which comprises a base, a fixed plate and a collection box are mounted at the top of the base, a top plate is mounted at the top of the fixed plate, a moving seat is mounted at the top of the collection box, and a first rotating plate is mounted at the top of the moving seat. A second rotating plate is installed at the top of the first rotating plate, clamping mechanisms are arranged in the fixing plate and the second rotating plate, a first testing mechanism is arranged at the bottom of the top plate, shielding mechanisms are installed on the outer walls of the two sides of the top plate, and a second testing mechanism is arranged on one side of the fixing plate. According to the invention, in the process of carrying out the plugging force test on the charging gun body, by means of mutual cooperation of the first test mechanism and the second test mechanism, various actual use environments of the charging gun body can be simulated, and the charging gun body is tested in the environments, so that the data is relatively comprehensive, and the credibility of the data is relatively high.

The invention provides an embryo three-dimensional reconstruction method and device, electronic equipment and a storage medium, and relates to the technical field of embryo quality evaluation. Comprising the following steps: acquiring a multi-focal original plane image of a blastocyst to be reconstructed based on a time difference incubator; adopting a pre-trained image frame interpolation model to perform iterative frame interpolation processing on the multi-focal original plane image to generate a multi-focal extended plane image corresponding to each iteration; according to the multi-focus original plane image and the multi-focus extended plane image corresponding to each round of iteration, adopting an auxiliary circle marking algorithm to mark a blastocyst main body area in each focus original plane image and each focus extended plane image; respectively extracting mask images of a plurality of inner cell clusters and mask images of a plurality of trophoblast cells on the basis of marking results; and performing three-dimensional reconstruction according to the extracted mask images of the internal cell clusters and the mask images of the trophoblast cells to obtain curved surface models of the internal cell clusters and curved surface models of the trophoblast cells. The method improves the reconstruction precision.

The invention discloses a three-dimensional space PM2.5 concentration estimation method and device based on an improved UNet, and the method comprises the following steps: employing an unmanned plane to collect and obtain a haze image, employing a haze sensor to collect a PM2.5 concentration value as a data set, and carrying out the data preprocessing; and inputting the training data set into the improved UNet model for iterative training until a model iterative training loss function value is minimum, training to obtain a network model based on the improved UNet, inputting the haze image into the trained network model, and outputting a PM2.5 concentration value. According to the method, information extracted by the improved UNet network is fused, fine-grained haze reconstruction in a three-dimensional space can be realized, and the method has better generalization performance.

The invention discloses a novel vegetation index for color-changing wood identification based on an unmanned aerial vehicle hyperspectral image and a construction method. By extracting a tree spectral reflection curve, a feature selection algorithm is used for screening a feature wave band to construct an area vegetation index. The novel index constructed by the invention can effectively enhance the difference between discolored wood and healthy wood. Meanwhile, the invention provides a color-changing wood detection method based on an unattended unmanned aerial vehicle hyperspectral image, and relates to the field of remote sensing image processing and vegetation disease and pest detection, in particular to a color-changing wood unmanned aerial vehicle hyperspectral image detection method. Comprising the following steps: 1, automatically collecting a hyperspectral image in a target area and extracting the spectral reflectivity of vegetation; 2, screening characteristic wave bands by using a characteristic selection algorithm to construct an area vegetation index, constructing a PLS-DA partial least square discrimination model, and training a one-dimensional convolutional neural network; 3, constructing an automatic identification module comprising the three methods; and 4, inputting the data to be detected into the module for detection.

The invention provides a motor health assessment method based on multi-dimensional parameters. The motor health assessment method comprises the following steps of S1, collecting the multi-dimensional parameters of a motor during operation through a sensor; s2, cleaning, denoising and normalizing the collected data to obtain fusion state parameters; s3, the fault samples are marked according to fault types, degrees and position information, and healthy samples and fault samples are divided; s4, constructing a health evaluation function based on the health sample; s5, solving the evaluation function to obtain a health evaluation value; and S6, evaluating the health state of the motor according to the evaluation value. According to the method, data input is optimized by fusing multi-dimensional parameter information and weighted calculation, and the health state is quantified in combination with the Euclidean distance function, so that the evaluation result is more accurate. According to the method, the health level and the fault risk of the motor can be effectively identified, and an intelligent and scientific health assessment means is provided for maintenance and operation of a motor system.

The invention relates to the technical field of forestry carbon neutralization, and discloses a eucalyptus felling, residue treatment and production operation process carbon emission accounting method, which comprises the following steps of: dividing sub-stages in a life cycle of eucalyptus felling, residue treatment and production operation, and determining a system boundary and a functional unit of a carbon footprint; determining a carbon emission list of each sub-stage according to technical regulations of eucalyptus felling, operation and residue treatment and actual production information, performing carbon emission list analysis in a life cycle in the eucalyptus production and operation process, and determining input and output lists of each sub-stage; determining a calculation method, a distribution program, a data requirement and an emission factor in each sub-stage; and constructing a carbon emission accounting model of each sub-stage by using an emission factor method, and obtaining the carbon footprint of eucalyptus production and operation by using the carbon emission accounting model of each sub-stage. The method is designed for the operation and production process of eucalyptus, and aims to accurately evaluate the carbon footprint in the whole eucalyptus product life cycle.

The invention discloses a quantifiable pressurized building air tightness testing method. The method comprises the steps that the pressurized net volume V of a pressurized building is measured; the interior of the pressurized building is pressurized, so that the air pressure in the pressurized building reaches the set target pressure; detecting air pressure in the supercharged building in real time, and recording corresponding air pressure data; fitting the recorded air pressure data to obtain a time-varying function # imgabs0 # of the air pressure in the supercharged building, and deriving to obtain a derived function # imgabs1 #; and calculating according to a formula # imgabS2 # to obtain the leakage rates of the supercharged building under different air pressures. The method has the beneficial effects that the test method is provided based on consideration of the supercharged net volume of the supercharged building, the air tightness of the supercharged building is quantitatively detected, the absolute leakage amount of a certain supercharged building under a certain set pressure can be obtained, and comparable data is provided for air tightness evaluation of the supercharged building.

The invention discloses a method and a device for improving the analog radio frequency resolution of a millimeter wave channel, and the method comprises the steps: judging whether the target radio frequency resolution is higher than the radio frequency resolution of a millimeter wave up-down conversion module or not, and if the target radio frequency resolution is higher than the radio frequency resolution of the millimeter wave up-down conversion module, starting the millimeter wave up-down conversion module; performing radio frequency resolution compensation in a channel processing process by combining a small-scale fading module algorithm; interpolation is carried out on the channel coefficient obtained after the radio frequency resolution is improved; down-converting the input millimeter wave signal with higher frequency to a baseband with lower frequency, and converting to generate a corresponding digital signal; and carrying out operation on the interpolated channel coefficient and the digital signal generated by conversion to obtain a millimeter wave radio frequency signal subjected to channel simulation. According to the millimeter wave channel simulation system, the problem of low radio frequency resolution caused by hardware limitation of the millimeter wave up-down conversion module is compensated, the radio frequency resolution of the whole millimeter wave channel simulation system is improved, and richer and more accurate signal information is provided.

The invention relates to a converter station valve hall water leakage monitoring method and system based on photon counters, and the method comprises the following steps: setting a line laser and a plurality of photon counters in a to-be-detected water leakage region, and illuminating the to-be-detected water leakage region of a converter station valve hall through the line laser; the photon number collected by the photon counter is sliced according to the form of time sequence data, and photon number time sequence data slices are obtained; the photon number time sequence data slices collected by each photon counter are analyzed respectively, and a water leakage monitoring judgment result of a single photon counter is obtained; and obtaining a water leakage monitoring judgment result of the to-be-detected water leakage area based on the water leakage monitoring judgment result of the single photon counter. Compared with the prior art, the method has the advantages of expanding the monitoring data dimension, improving the monitoring and judging speed and the like.

The invention discloses a method for mining and expanding a block chain centralized exchange address based on rule identification, and relates to the technical field of block chains, and the method comprises the steps: building a block chain full node, obtaining first transaction data on the block chain full node, and processing the first transaction data based on a first rule to obtain a money filling address; obtaining second transaction data of the coin filling address, and obtaining a service charge address based on the second transaction data; and obtaining third transaction data of the service charge address, obtaining a hot wallet address based on the third transaction data, and obtaining an expansion result based on the hot wallet address, so that the problem that fund penetration analysis is inaccurate due to the fact that comprehensive data of a centralized exchange cannot be obtained in an existing method can be solved.

The invention provides wearable intelligent breathing amplitude and frequency training equipment and a training method, and relates to the field of breathing training. The breathing amplitude and frequency wearable intelligent training equipment comprises a wearable assembly, a detection assembly and a training assembly. By arranging the chest resistance strain gauge and the abdomen resistance strain gauge, the breathing amplitude and frequency of the chest and the abdomen of a patient can be detected, obtained data are more comprehensive, and the patient can develop a good breathing habit through the data of the breathing amplitude and frequency; by arranging the training assembly, the load of the chest and the abdomen can be increased by adding load-bearing liquid, and therefore the purpose of exercising breathing-related muscles is achieved; the wearable assembly can be worn for use and does not need to be communicated with the respiratory tract of the patient, so that overall carrying is facilitated, and good training sanitation is guaranteed.

The invention discloses a data processing method, first wearable equipment and a computer readable storage medium. The data processing method is applied to the wearable system, the wearable system comprises at least two wearable devices worn on the body of a user, and each wearable device comprises a sensor module. The data processing method comprises the steps that at least two pieces of wearable equipment start a same motion type; acquiring motion data acquired by a sensor module in each wearable device; and in combination with the motion type, based on a preset strategy, obtaining a motion index of the user according to the motion data of the at least two wearable devices.

The invention belongs to the field of artificial intelligence, and relates to a drunk driving detection method based on audio data, which comprises the following steps: acquiring at least one voice sequence in report audio data, and determining target audio data; extracting a voice feature vector of the target audio data by using a voice recognition module of the target drunk driving recognition model; recognizing a target key text of the target audio data according to the voice feature vector and a preset key text recognition method; performing alignment processing on the target key text and the voice feature vector by using a modal adapter of a target drunk driving recognition model to obtain a multi-modal feature vector; and analyzing the multi-modal feature vector by using a large language model of the target drunk driving identification model to obtain a label indicating whether the case reporting audio data is drunk driving or not. The invention further provides a drunk driving detection device and equipment based on the audio data and a medium. In addition, the invention also relates to a block chain technology, and case report audio data and the like can be stored in a block chain. The accuracy of drunk driving detection can be improved.

The invention relates to the field of building material detection, in particular to a quality evaluation method based on low-water-binder-ratio concrete, which comprises the following steps: acquiring a low-water-binder-ratio concrete sample, confirming a sample detection environment based on the low-water-binder-ratio concrete sample, performing cutting operation on the low-water-binder-ratio concrete sample by using a table-type cutting machine, and determining the quality of the low-water-binder-ratio concrete sample. Calculating an intensity value by using a drying tester and a burning tester; calculating a penetration value by using a penetration controller and a penetration tester; starting an ultrasonic sensor; calculating a loss value by using a sending voltage and a receiving voltage; and constructing a concrete quality evaluation model based on a regression analysis result, substituting the strength value, the permeation value and the hydration value into the concrete quality evaluation model to calculate an evaluation value, and completing quality evaluation of the concrete with the low water-binder ratio. According to the invention, the detection speed and accuracy of the low-water-binder-ratio concrete can be improved.

The present invention discloses a franchisee data analysis and processing system of a franchise platform based on cloud computing, comprising a catering franchise project main body information extraction module, a franchisee online consumption port link module, a franchisee online catering consumption parameter collection module, a franchisee online catering consumption analysis module, a franchise database, a catering franchise project comprehensive franchise value evaluation module and a catering franchise project classification retrieval terminal. By extracting franchisee information corresponding to each franchise project from a catering franchise platform and obtaining an online consumption port corresponding to each franchisee, online catering consumption parameters are collected and supplemented to franchise project data, thereby greatly enriching the franchise project data. At the same time, the online catering consumption parameters of each franchisee corresponding to each catering franchise project are processed and analyzed, thereby evaluating the comprehensive franchise value coefficient corresponding to each catering franchise project, thereby providing a strong basis for users to join in screening franchise projects.

The utility model belongs to gas detection technical field, concretely is small flow gas detection device based on valve opening degree regulation, including valve body, still include: gas detection subassembly, set up at valve body top, flow detection subassembly, set up in valve body outer wall and with its inside intercommunication, baffle, set up in valve body inner wall middle segment, and its top is provided with ladder hole, first limit frame, fixed setting in valve body inside bottom, sealing assembly, through setting on first limit frame, and its top cooperates with ladder hole, first sealing plate, set up in valve body one end, the utility model provides small flow gas detection device based on valve opening degree regulation, can carry out quick sealing to valve body when needing closing valve body in the emergency, relative to the speed of screw rod closed mode is faster, adapts the gas flow demand of quick change, especially in small flow gas detection, can realize more accurate control, simple structure simultaneously.

The utility model provides a data display device for municipal construction cost, which relates to the technical field of data display and comprises a machine body, a display screen is fixedly mounted in the machine body, a first white board is fixed on the lower side of the display screen in the machine body, and second white boards are slidably connected to two sides of the front end of the first white board in the machine body. A bottom plate is arranged below the machine body, a motor is installed at the top end of the bottom plate, the output end of the motor is fixed to the bottom end of the machine body, and first universal wheels are installed at the four corners of the bottom end of the machine body. The display screen, the first whiteboard and the second whiteboard are all arranged at the two ends of the machine body, data display can be conducted at the front end and the rear end of the device, the display effect is more comprehensive, practicability is higher, in addition, through the arrangement of the first whiteboard and the second whiteboard, the device is not limited to data displayed by the display screen, and the display effect is better. A worker can write important or supplementary data on the first whiteboard and the second whiteboard by using a marking pen, so that the data can be displayed more comprehensively.

The invention discloses a method for testing the angle and stroke of a forklift accelerator pedal, comprising the following steps: S1, detecting an initial angle α1 of a forklift accelerator pedal in an initial state, and calculating a horizontal and vertical distance X1, Y1 between a measuring point and a rotation center of the accelerator pedal; S2, stepping on the accelerator pedal, causing the accelerator pedal to rotate around the rotation center by a certain angle, detecting a pedal angle α2 in a current state, and calculating a horizontal and vertical distance X2, Y2 between a measuring point on the accelerator pedal and the rotation center of the accelerator pedal; S3, calculating a stroke variation Z of the accelerator pedal according to the horizontal and vertical distances X1, Y1 between a measuring point and the rotation center of the accelerator pedal in the initial state of the accelerator pedal in S1 and the horizontal and vertical distances X2, Y2 between a measuring point and the rotation center of the accelerator pedal in the current state in S2; the application solves the problems of complex angle and stroke measurement of a forklift accelerator pedal, multiple sensors, poor interchangeability, and incomplete test data.

The invention provides a pavement height difference adjusting device for a paver, which comprises a paving main body, a first ironing mechanism arranged on one side of the paving main body, and a monitoring mechanism, the monitoring mechanism comprises a fixing piece arranged on the first ironing mechanism, an induction plate arranged at an interval with the fixing piece and used for making contact with a paving pavement, and an adjusting rod arranged between the fixing piece and the induction plate, a controller is arranged in the fixing piece, and the controller is connected with the controller. And the controller is configured to be capable of judging the height difference of a paved pavement formed by the paving main body and the first ironing mechanism through an included angle formed by the induction plate and the adjusting rod.

The invention relates to the technical field of safe flight of aircrafts, in particular to a low-altitude aircraft safety interval assessment method and device, equipment and a storage medium. The evaluation method for the safety interval of the low-altitude aircraft comprises the steps that a rail car is controlled to run according to a preset track, the rail car carries a navigation system and a communication system of the low-altitude aircraft, and the navigation system and the communication system are in the state where electromagnetic interference signals are applied; in the running process, state information of the rail car is obtained; based on the state information and the preset track, evaluating the track keeping capability of the low-altitude aircraft; and determining the safety interval of the low-altitude aircraft based on the flight path keeping capability. According to the invention, the operation efficiency of the low-altitude aircraft can be improved on the premise of guaranteeing the flight safety.

The invention discloses an ice cover flow water and sediment parameter monitoring device and method, the monitoring device comprises a monitoring assembly penetrating into the ice cover and a driving assembly driving a monitoring rod to rotate, and a plurality of sensors are arranged in a monitoring cavity. The device is fixed on the ice cover layer and can perform continuous monitoring, the monitored data is diversified, the data obtained through multi-point and multiple monitoring is more comprehensive, the shaking of the monitoring rod can be reduced, and the damage of the sensor can be avoided; the monitoring method comprises the following steps: selecting a fixed point monitoring point position, selecting a lake water flow inlet, a central point and an outlet in the field, and selecting a water inlet, a water outlet and a central position of a water tank in a laboratory; determining winter monitoring interval time and type; arranging an in-situ monitoring platform; and carrying out data acquisition and processing. The monitoring device comprises a monitoring assembly penetrating into the ice cover and a driving assembly, and various sensors are arranged in the monitoring cavity.

The invention provides a configuration information determination method and device based on AUTOSAR, and relates to the field of automatic software configuration. The method comprises the steps of determining function description information of a configuration item based on configuration demand information and a module dependency relationship between modules in an AUTOSAR, retrieving associated information corresponding to the function description information of the configuration item, determining a configuration result by utilizing the function description information of the configuration item and the associated information, and generating an ARXML file corresponding to the configuration result. When the configuration information is determined, the module dependency relationship between the modules in the AUTOSAR is considered, so that the determined configuration information better conforms to an actual module dependency scene, and the accuracy of the configuration information of the AUTOSAR is improved. And in addition, the associated information corresponding to the function description information of the configuration item can be retrieved, so that the data used when the configuration information is determined is more comprehensive, and the accuracy of the subsequently determined configuration result is ensured.

This utility model discloses a machine vision measurement device, comprising: a measuring platform, a measuring turntable rotatably mounted at the center of the measuring platform, a measuring frame slidably mounted on the measuring platform, and a vertically mounted vision camera at the lower end of the measuring frame; a measuring component, mounted on the measuring frame, for measuring the product from the side; the measuring component includes a lifting module, the lifting module including a measuring electric cylinder mounted on the measuring frame, the telescopic end of the measuring electric cylinder penetrating the measuring frame and mounted on a measuring lifting seat, a measuring guide rod slidably inserted on the measuring frame, the lower end of the measuring guide rod being fixedly connected to the upper end of the measuring lifting seat, and a measuring mounting seat fixed at the lower end of the measuring lifting seat; this utility model has a reasonable structure and can simultaneously scan the top and side of the product, thereby obtaining more complete data and better meeting the needs of users.

The invention discloses an automatic wood pallet processing device which comprises a chain conveying assembly for conveying wood pallets, a first visual detection module and a second visual detection module are installed on the upper portion of the right side and the upper portion of the middle of the chain conveying assembly correspondingly, and a turnover assembly is installed on the chain conveying assembly. The overturning assembly is located between the first visual detection module and the second visual detection module and used for driving the wood tray to overturn. An unqualified product stacking frame and a qualified product stacking frame are installed above the left side of the chain conveying assembly, the unqualified product stacking frame is located on the right side of the qualified product stacking frame, and a transfer movement module is arranged above the upper side of the chain conveying assembly and installed on the top of the inner side of the plant. According to the automatic wood tray machining device, through cooperation of the first visual detection module and the second visual detection module with the overturning assembly, comprehensive visual detection on machined wood trays is improved, and meanwhile qualified and unqualified wood trays can be transferred and transported conveniently.

The invention specifically relates to the technical field of computers and the technical field of biological information, and discloses a method and a system for constructing a multi-dimensional database for image recognition of foreign and local diseases and insect pests, and the method comprises the steps: obtaining basic information, hazard feature information and other information of foreign and local diseases and insect pests through self-sampling and public resource collection and processing; analyzing the collected original data set and the scanning image set, and carrying out image preprocessing, data set division, model evaluation and improved construction on the three-dimensional internal and external models and the image recognition model; a foreign and local pest and disease damage multi-dimensional information access rule is constructed, a foreign and local pest and disease damage image recognition multi-dimensional database is developed, data support can be provided for research and development of technologies such as rapid and accurate detection and one-time detection, and the system can become a port entry plant quarantine information support system. The method can certainly play an important role in improving port quarantine and extraneous potential pest control ability, effectively reducing extraneous quarantine pest introduction and protecting agricultural production and ecological safety.

The utility model relates to brake pad processing equipment technical field, concretely is a kind of high-performance brake pad friction material preparation equipment, the bearing plate is located in the upper end of workbench and is slidably connected with workbench, the middle part of workbench is equipped with air slot, the detection platform is located in the upper end of bearing plate and is rotatably connected with bearing plate, the lower end of bearing plate is equipped with first motor, the output of first motor is equipped with the second rotating shaft of the connection detection platform, and the equipment is through the collaborative work of first motor, second motor and telescopic cylinder and other components, realizes the automatic clamping, movement and rotation of brake pad friction material on detection platform, without manual frequent movement material, greatly save manpower cost, reduce the labor intensity of staff.