27results about How to "Data error is small" patented technology

The invention discloses a lithium ore exploration system and method based on data analysis, and relates to the technical field of lithium ore exploration. In the operation process of the system, data from different sources are collected, geological abnormal parameters, lithologic density fluctuation parameters and gravity gradient parameters are obtained, the preprocessed data are analyzed, and a lithium ore exploration result is obtained; the method comprises the following steps: extracting geological features related to mineral resources, carrying out pattern recognition by using a deep learning technology, extracting key features from geological data, obtaining lithologic density Sgeo, rock magnetic parameters Wrock and rock resistivity Rgrad, and generating a three-dimensional geological model of a mining area through an AI algorithm based on the extracted features. The AI algorithm comprises regression analysis and a convolutional neural network (CNN) to process spatial data and generate three-dimensional visualization of a geologic structure, historical mining area distribution data is combined, the system uses a prediction algorithm random forest or a support vector machine (SVM) to predict lithium ore distribution, survey feedback is generated according to a prediction result, and a survey scheme is dynamically adjusted.

The invention discloses a dephosphorization intelligent dosing control method and system based on a big data prediction model, and belongs to the technical field of the water affair industry. The method comprises the steps that production operation and maintenance data of a sewage treatment plant are analyzed, a prediction model based on big data is established to predict the concentration of PO4 < 3->-P in the chemical phosphorus removal process in sewage treatment, the dosage of a phosphorus removal agent is optimized through an intelligent agent adding control system, and the purpose of timely and accurately adding the phosphorus removal agent according to needs is achieved; the problems of hysteresis of long detection time and data accuracy of an online detection instrument are solved.

The invention provides a soil salinization type remote sensing inversion method based on ensemble learning, and relates to the field of remote sensing technology and machine learning, and the method comprises the steps: collecting the field sampling data of each ion concentration in the soil of a target region; constructing a comprehensive data set through field sampling data and remote sensing image data; constructing an integrated learning regression model and training through the comprehensive data set; acquiring to-be-measured remote sensing image data; utilizing the trained integrated learning regression model to predict to-be-measured remote sensing image data, and generating soil ion concentration proportion data of the research area; and performing threshold division on the soil ion concentration proportion data to obtain different salinization types, and generating a two-dimensional space-time distribution diagram of the soil salinization types. The generalization ability and the inversion precision of the soil salinization inversion model are remarkably enhanced by adopting an integrated learning algorithm; through satellite-ground data fusion, the cost and time consumption of large-scale salinization monitoring are reduced.

This invention discloses a fatigue testing method for circular air vents based on data analysis, belonging to the field of automotive component testing technology. The invention includes determining the fatigue testing process of the air vent workpiece using a fatigue testing device, thereby defining the range of key fatigue testing data, obtaining test results below the design fluctuation standard range during the fatigue testing process, and constructing a set of unqualified test results. This invention ensures that the test results accurately reflect the true fatigue state of the workpiece through multi-dimensional data analysis and correlation with actual scenarios, providing reliable support for product quality control. Furthermore, it improves testing efficiency, reduces labor costs, and continuously optimizes the testing system through automated processes and closed-loop improvement mechanisms. Ultimately, it provides a standardized fatigue testing solution for the automotive component testing field that balances accuracy and efficiency, which is of great significance for ensuring the durability of circular air vent workpieces, reducing after-sales maintenance costs, and improving user experience.

The utility model relates to the technical field of squirrel cages, and discloses an open type flat plate rack squirrel cage capable of monitoring the state of a cage box, which comprises an open type flat plate rack main body composed of a support frame and grid support plates, the inner side of the support frame is provided with the grid support plates which are arranged at equal intervals, and the grid support plates are arranged at equal intervals. The top of the grid supporting plate is provided with monitorable mouse cage mechanisms which are arranged at equal intervals, the top of each monitorable mouse cage mechanism is provided with a cage box, and the monitorable mouse cage mechanisms are used for remotely observing and recording the state in each cage box; the monitorable mouse cage mechanism comprises a mounting plate which is fixedly mounted at the top of the grid support plate, and four grooves which are uniformly distributed are formed in the top of the mounting plate. According to the open type flat plate frame mouse cage capable of monitoring the cage box state, the function of remotely observing and recording the state in each cage box can be provided, so that a manager can conveniently and timely master animal feeding quantity information, and the using effect of an existing open type flat plate frame mouse cage is effectively improved.

The utility model relates to seepage monitoring equipment field discloses a large -scale water conservancy project seepage real -time monitoring system, including monitoring support, the top fixed mounting of monitoring support has the equipment box, the top fixed mounting of equipment box has solar panel, the bottom fixed mounting of equipment box has two cable. The utility model has the following advantages and effect: can when installing the osmotic pressure sensor, make six linkage support one side's antiskid rubber pad and borehole inner wall close and touch, realize firm fixation, ensure that sensor can accurate measurement concrete dam body inside water pressure, and not easy to slip, strengthened the stability of equipment, and the fixing mode of osmotic pressure sensor and the mode that seepage detection pipeline is through hall sensor and captures the magnetic field change that impeller rotates produces to derive flow, all can more accurate acquisition data, reduce the data error that causes installation or environmental factor, improved the accuracy and reliability of data.

This invention discloses a concrete strength testing device and its usage method, comprising: a rebound hammer body and a rebound hammer rod; the rebound hammer rod is disposed on the rebound hammer body; further comprising: a rebound hammer replacement component disposed on the rebound hammer rod, a movable component disposed on the rebound hammer rod, a reset component disposed on the movable component, a support component disposed on the movable component, a fixing component disposed on the support component, an installation component disposed on the rebound hammer body, and an ultrasonic transducer component disposed on the installation component. This invention relates to the field of concrete strength testing, ensuring that the measuring point positions and contact coupling conditions of rebound and ultrasonic testing are highly consistent, minimizing data errors caused by measuring point position deviations and surface condition differences. The structure is relatively simple and easy to use.

The invention relates to the technical field of grassland restoration, in particular to an irrigation monitoring system for grassland original ecological restoration, which comprises an irrigation data collection and analysis module, an irrigation demand prediction module, an irrigation strategy intelligent adjustment module, an irrigation equipment state monitoring module and an equipment fault automatic troubleshooting module. A sensor network is deployed to collect data, and the collected data is preprocessed, so that the accuracy of the data is improved; the irrigation demand is predicted by using the prediction model, and manual intervention is reduced; the irrigation strategy is automatically adjusted according to the predicted irrigation requirement, and automatic management of irrigation is achieved; the state parameters of the irrigation equipment are monitored in real time, so that safety accidents caused by equipment faults can be avoided; by using the Bayesian theorem and combining the early warning signal and the equipment state parameters monitored in real time, the fault reason is positioned, so that measures can be taken immediately. The method is used for solving the technical problem that the monitoring management level of current grassland recovery is not high.

This utility model discloses a safety performance testing device for new energy vehicles, including an electric platform cabinet. A display screen is electrically connected to a built-in control board near the top of the front of the electric platform cabinet to intuitively display the results of different tests. A function key area is fixedly connected to the top of the display screen on the front of the electric platform cabinet, allowing operation of the entire safety performance testing program using multiple buttons within the function key area. A resistance tester is installed at the bottom of the inner part of the electric platform cabinet to test the resistance values ​​of the internal circuits. This utility model integrates multiple functions such as fast charging testing, slow charging testing, resistance testing, and potential equalization testing into a single electric platform cabinet, enabling the completion of core safety performance testing of new energy vehicles without the need for multi-station transfers. This significantly shortens the testing process, improves testing efficiency, and reduces equipment footprint and investment costs.

This invention discloses a method for locating natural gas leak sources in salt cavern gas storage well sites, comprising the following steps: 1) Deployment of point-type laser methane detectors within key monitoring areas. 2) Monitoring of unknown areas outside the key monitoring areas. 3) Leak source inversion and location: When the concentration value of leaked natural gas in a salt cavern gas storage well site, as monitored by the point-type laser methane detector, reaches a predetermined threshold, the leak source needs to be located promptly. The specific process is as follows: Step 1) Establishing a leak diffusion model; Step 2) Establishing an objective function F; Step 3) Locating the leak point. The leak source location method of this invention has high accuracy and cost-effectiveness, can efficiently obtain concentration interpolation with smaller errors, and solves the problem of insufficient full-coverage monitoring of salt cavern gas storage well sites.

The present invention discloses a method and device for address information management, and relates to the field of computer technology. The specific implementation of the method includes: dividing the target geographic area corresponding to the initial address information set into multiple regional blocks; taking each regional block as the area to be fused, merging similar address information in the area to be fused, and obtaining an updated address information set; taking multiple regional blocks as new areas to be fused, merging similar address information in the area to be fused according to the updated address information set, and obtaining an updated address information set; gradually expanding the geographic scope of the area to be fused to further update the address information set until the geographic scope of the area to be fused meets the preset conditions. This implementation can solve the problem of high spatial complexity and time complexity caused by excessive data volume, and can greatly reduce data errors caused by incomplete fusion of similar geographic information.

The utility model relates to water treatment membrane technical field, concretely is a kind of water treatment membrane testing device, including bottom plate and membrane assembly, the bottom plate top one side fixed mounting has control module, the bottom plate one end top fixed mounting has sewage bucket, the top fixed mounting of other end has waste water bucket, the top of the bottom plate is installed with the test mechanism connected with sewage bucket and waste water bucket, the top of the bottom plate is installed with the switching mechanism for switching membrane assembly position;The test mechanism includes water pump, inlet pipe, sealing plate, flowmeter, electric cylinder, connecting seat and outlet pipe, the sealing plate fixed mounting is on the side of sewage bucket, the one end of inlet pipe is connected with the water outlet on the side of sewage bucket lower end, and the other end is connected with the water inlet on the top of sealing plate, the electric cylinder is equipped with two, the water treatment membrane testing device can continuously test membrane assembly, reduce manual participation, improve test efficiency.

The application relates to an electronic component testing device and a testing method, and belongs to the technical field of electronic component testing. The device comprises a workbench, a testing device installed on the surface of the workbench, a clamping conveying assembly, a PLC controller, a material box, a solder flux pool, an electronic component fixing piece, a pin electronic component, a swing frame, a tin pool assembly, a cleaning assembly, a detection assembly and a transmission assembly. The application has novel design and reasonable structure. Compared with traditional manual testing operation, the application can effectively ensure that the tin part on the pin and the immersion area data are consistent, is convenient for batch detection, reduces data error, and facilitates detection of the tin part on the pin through cooperation of a CCD camera and a PLC controller, improves data accuracy, effectively replaces manual detection using a magnifying glass, effectively replaces manual detection, improves work efficiency, testing precision and testing quality, has high orderliness and good use effect.

The invention provides an oil delivery pump shaft lifting tool which comprises a cross beam, a bracket, a screw rod, an electronic measuring mechanism and a mechanical measuring mechanism, one end of the screw rod penetrates through the cross beam and is rotationally connected with the bracket through the mechanical measuring mechanism, the electronic measuring mechanism is connected with the bracket and the cross beam, and the cross beam is connected with the screw rod. A pair of kidney-shaped holes is formed in the cross beam. The digital technology is applied, the lifting device and numerical value reading are combined into one, and the field work efficiency is improved. Data are read in real time, electronic display and mechanical display verify each other, and the influence of system errors is reduced to the maximum extent through the two numerical value reading modes. And data errors caused by human factors are reduced. And the numerical accuracy is ensured. The kidney-shaped hole design structure can meet oil conveying main pumps of different models and meet the positioning requirements of bearing boxes of oil conveying pumps of various types. The structure is simple and operation is convenient.

The invention provides a portable grape wine harmful substance detection device, which comprises a main body shell and a grab handle, the grab handle is fixed at the center of the bottom of the main body shell, an inner cavity is arranged in the main body shell, the inner cavity comprises an adjusting cavity and an operating cavity, the operating cavity is communicated with the top of the adjusting cavity, and the adjusting cavity is communicated with the operating cavity. A sample storage adjusting assembly is arranged in the adjusting cavity, a detection assembly matched with the sample storage adjusting assembly is arranged in the operation cavity, a storage cavity is formed in the inner wall of the main body shell, a liquid inhaler is arranged in the storage cavity, and a water outlet pipe is arranged at the output end of the liquid inhaler; and the end part of the water outlet pipe penetrates into the inner cavity and is matched with the sample storage adjusting assembly. Compared with the prior art, the harmful substance detection device has the following beneficial effects that through the design of the detection assembly and the sample storage adjusting assembly, harmful substance detection work can be continuously carried out on various to-be-detected samples, and the data error of each time of detection is relatively small.

The utility model discloses a modularization probe card, including substrate and adapter plate, substrate one end is provided with test machine lead line row and inserts one end, and the other end is provided with detection window, and is equipped with the pad area around detection window for welding blade probe and probe lead-out wire, the adapter plate detachably installed between test machine lead line row and inserts one end and pad area, be equipped with wiring network on the substrate, and the input of wiring network is electrically connected with test machine lead line row and inserts one end, and the output is connected to pad area through adapter plate. The substrate is designed as general bottom plate, and is equipped with detachable adapter plate and is adapted to different sample test, and high-precision probe card need not to be customized, meanwhile, the adapter plate adopts foolproof interface design, prevents the circuit abnormality caused by mistake.

The present invention discloses a method for mapping cyberspace assets of an electric power monitoring system, which belongs to the technical field of equipment mapping, and includes: constructing a cyberspace asset model of the electric power monitoring system based on cyberspace modeling demand information of various assets in the electric power monitoring system and asset operation parameter information; constructing a cyberspace asset mapping framework of the electric power monitoring system based on the cyberspace asset model and cyberspace mapping parameter information; mapping the actual network access behaviors between various assets based on the cyberspace asset mapping framework and cyberspace mapping demand information, and obtaining an optimal network access relationship diagram between various assets. The present invention can more comprehensively map the actual network access behaviors between various assets, reduce the data error of network asset mapping in the electric power monitoring system, and significantly improve the network asset mapping effect in the electric power monitoring system.

The utility model relates to the technical field of sensor brackets, and discloses a multifunctional mounting bracket for a wireless sensor of a comprehensive logging instrument, which is characterized in that a mounting bracket base is fixedly welded on the upper end surface of a damping component, and the damping components are symmetrically fixedly welded on the two sides of the mounting bracket base; a lower bottom plate is fixedly welded to the upper end face of the damping assembly, a main vertical support is fixedly welded to the upper end face of the lower bottom plate, sliding side frames are symmetrically fixedly welded to the two sides of the main vertical support, and sliding grooves are slidably formed in the sliding side frames. The accuracy is enhanced; in addition, the base provides vibration isolation, isolates an external vibration source, and prevents the sensor from being interfered. And the service life of the sensor is prolonged, the mechanical stress is reduced, and the sensor is more durable in a high-vibration environment.

The present invention discloses a matrix-type omnidirectional wind-generating device and a wind-generating system with the device, comprising a wind-generating device, comprising a fan for generating wind and a first frame, a transfer device comprising a second frame and a transfer assembly, the first frame is controlled to move by the transfer assembly, a wind swing device is used to control the wind outlet angle of the fan, a quick disassembly device comprises a mechanical quick-release assembly, and the mechanical quick-release assembly is used for quick separation of the first frame and the second frame, the wind-generating system comprises a control module, a collection module and a processing and recording module, the control module is used to control the transfer device to drive the wind-generating device to be at different heights and start the fan, the collection module comprises an outlet air collection unit and a wind direction and wind speed collection unit, the outlet air collection unit is used to collect the initial wind speed of the wind-generating device passing through the wind guide device, each fan is provided with an outlet air collection unit, and the wind direction and wind speed collection unit is used to collect the initial wind speed after a certain distance from the wind-generating device.

The invention provides a dam body seepage flow automatic monitoring method and system and electronic equipment. The method comprises the steps that seepage weight data information collected by a weight sensor is sent to an area controller through a collection board; the management system calculates seepage flow receiving duration data, flow data and seepage flow data in unit time according to the transmitted seepage weight data information; the management system collects seepage flow data of each time node and preprocesses the collected data; the management system carries out trend analysis on the seepage flow data; the management system predicts future changes in the seepage flow. The automatic data acquisition and processing mechanism improves the monitoring efficiency of the seepage flow, reduces data errors caused by manual operation, and can use the time sequence prediction model to predict the long-term trend of the seepage flow, which is helpful for identifying potential risk points and improving the accuracy of the prediction result. The accuracy and the intelligent level of dam body seepage flow monitoring are improved, and an effective technical guarantee is provided for safe operation of a dam.

The present invention relates to a method for detecting the access depth of a switch motor static contact group, comprising the following steps: 1) using a trained MASK-RCNN deep learning network model to identify an image to be detected of a switch motor static contact group in an access state, and generating a mask at the bolt position on the image to be detected; 2) using an interactive iterative algorithm to refine the mask; 3) according to the mask area, using a minimum area coverage method, obtaining an area to be corrected; 4) using a three-dimensional space correction technology to perform distortion correction on the area to be corrected, and obtaining a correction area; 5) according to the correction area, calculating the true distance of the bolts of the dynamic and static contact group; 6) obtaining the access depth of the dynamic and static contact group according to the corresponding relationship between the true distance of the bolts of the dynamic and static contact group and the access depth of the dynamic and static contact group. Compared with the prior art, the present invention has the advantages of fast detection speed, high detection efficiency, high precision, etc.

The invention discloses a data supervision system based on a block chain, and the operation method of the system comprises the following steps: 1, a supervision terminal carries out the division of information data supervision dimensions according to the responsibility content and authority size of a project, and records the data in each supervision dimension process, a data supervision log of each link of the whole project is tried; 2, building a block chain data block of supervision content, and carrying out block chain uploading on the data information of each project supervision stage; 3, the supervision terminal carries out real-time progress target control and risk quality supervision on project supervision information data and files in each stage; by establishing a block chain data block based on project supervision content, data information of a current project preparation implementation stage is subjected to first-stage project data information uplink, and the method has the characteristics that information data cannot be privately changed and multi-stage data quality is controlled.

The utility model discloses a heavy metal detector for water quality detection, belongs to the technical field of water quality detection, and adopts the technical scheme that the heavy metal detector comprises a water quality detector body, an auxiliary detection mechanism is arranged on the right side of the water quality detector body, and the auxiliary detection mechanism comprises a bearing assembly and a mixing assembly; the bearing assembly is arranged on the right side of the water quality detector body, the mixing assembly is arranged on the inner side of the bearing assembly, and by arranging the bearing assembly and the mixing assembly, when the heavy metal detector for water quality detection is used for detecting a water body sample, a user can combine the bearing assembly, the mixing assembly and the water quality detector body; during work, a user can input a collected water body sample into the mixing assembly, so that the user can manually rotate the mixing assembly, water body dirt in the mixing assembly is uniformly mixed with water flow, and the data error detected by the user is reduced.

The utility model discloses a detachable device for foundation pile self-balancing detection, which belongs to the technical field of building construction, and comprises a mounting frame, a guide rod and a detection piece, the mounting frame comprises two side frames and two cross rods, two ends of the cross rods are respectively connected with the top ends of different side frames to form a rectangular frame structure, and the guide rod is connected with the detection piece. Quick connecting mechanisms are arranged between the side frames and the cross rods; the guide rod is arranged between the two cross rods in a sliding mode and is perpendicular to the cross rods, and the end of the guide rod is in threaded connection with a locking nut used for fixing the position of the guide rod; and the detection piece is arranged on the guide rod in a sliding manner. According to the detachable device for foundation pile self-balancing detection, the guide gear and the rack are matched and located at the position for controlling the detection piece, after the limiting rod is inserted into the limiting hole, rotation of the guide gear is limited, rigid limiting is conducted on the position of the detection piece, it is guaranteed that the detection piece does not deviate under the effect of transverse external force, and the stability of the position of the displacement wire is guaranteed.

The invention discloses a method and a system for inverting daily water quality through space-ground integrated space-time statistical modeling, daily water quality parameters are estimated by utilizing satellite film inversion results existing in a time sequence, firstly, satellite images (sky) and water surface observation data (ground) of a target area are obtained in a space-ground integrated manner, and the satellite images (sky) and the water surface observation data (ground) are calculated on the basis of water body indexes; modeling by utilizing an ST-SAM model to automatically extract a water area; then associating satellite image data with water surface observation data in the extracted water area through spatio-temporal information, and establishing a water environment water quality inversion model and result of the target area under the satellite data condition by using partial least squares regression; and finally, through time sequence interpolation, correction is carried out by using space-time geographically weighted regression so as to obtain a daily water environment water quality inversion result of the target area. The method can obtain the water quality inversion result of the water environment at high frequency and high precision, has the advantages of real-time monitoring, high frequency, low cost and the like, and has obvious superiority in the aspect of efficient and high-precision obtaining of the daily inversion result.

The invention relates to a cross-data heterogeneity intelligent optimization method, system and device based on data quality dynamic decision. The method mainly comprises the steps of S1, data collection and preprocessing, S2, data analysis and imaging quality division are conducted on preprocessed data, a training data set is formed, S3, a model is constructed and trained, the model comprises a backbone network and a plurality of decoders, the backbone network is used for extracting universal features, the decoders are used for processing specific tasks of different quality data, and the decoder is used for processing the specific tasks of different quality data. The training of the backbone network is joint training by uniformly using a plurality of training data sets with different qualities, and the training of the decoder is one-to-one training for the training data set with single quality, and S4, inputting a to-be-optimized data set into a trained model, and analyzing pixel value distribution and characteristic value distribution of input data in real time to obtain a to-be-optimized data set. And automatically matching the most suitable decoder to carry out output optimization. The method is beneficial to stable and accurate segmentation or classification of the image by a subsequent model.

The invention provides a method for determining the critical overtopping flood scale of a reservoir dam, and belongs to the technical field of water conservancy project evaluation, and the method comprises the steps: S1, obtaining key basic data of a reservoir; s2, fitting the flood peak flow data and the flood process detailed data of the flood in different recurrence periods to obtain a corresponding flood flow hydrograph Q in (t); s3, a certain flood flow hydrograph Q < in > (t) is combined with the water level-reservoir capacity-floodway discharge capacity curve to obtain a corresponding flood regulation discharge flow hydrograph Q < out > (t); s4, judging whether the flood process is critical overtopping flood or not by utilizing the flood flow hydrograph Q in (t) and the flood regulation discharge flow hydrograph Qout (t); and S5, outputting the flood parameters of the critical overtopping flood. According to the method, the reservoir inventory and the critical overtopping flood scale are combined, and the flood parameters can be accurately determined.