8results about How to "Guaranteed sampling quality" patented technology

The utility model discloses an automatic material taking machine. The automatic material taking machine comprises a barrel, a material taking device and a material taking device, the material taking device is arranged in the barrel body; the material receiving device is arranged on the outer side of the barrel body; one end of the material conveying channel serves as a material collecting opening to extend into the barrel body and corresponds to the discharging position of the material taking device, and the other end of the material conveying channel serves as a material discharging opening and corresponds to the material collecting device; the driving device is connected with the material taking device, and the driving device drives the material taking device to complete the discharging action and convey the cement sample to the material collecting opening of the material conveying channel. According to the cement sampling device, automatic online sampling can be realized, manual sampling is not needed, the problems of insufficient sampling representativeness, low sampling efficiency and easiness in sample pollution caused by manual sampling are solved, the sampling efficiency is improved, the sampling quality is ensured, and a more reliable technical guarantee is provided for cement quality control.

The utility model relates to the technical field of sampling tubes, in particular to a novel blood sampling tube which comprises a temporary support, a plurality of circular grooves are formed in the top of the temporary support, blood sampling tubes are placed in the circular grooves, and first annular anti-falling blocks and second annular anti-falling blocks are arranged on the outer walls of the blood sampling tubes. Four first rubber positioning sheets which are arranged in an annular array are arranged at the middle upper part of the inner wall of the circular groove, and two second rubber positioning sheets which are arranged in a bilateral symmetry manner are arranged at the positions, close to the bottom, of the inner wall of the circular groove. According to the novel blood sampling tube, a first annular anti-falling block and a second annular anti-falling block are arranged and are matched with a first V-shaped groove in a first rubber positioning piece and a second V-shaped groove in a second rubber positioning piece respectively, so that the movement of the blood sampling tube in the longitudinal direction and the transverse direction can be effectively limited, and the blood sampling tube is prevented from moving or sliding due to shaking; the stability of the sampling pipe is greatly improved, and the sampling pipe is particularly suitable for being used in transportation or bumpy environments.

The present application relates to the technical field of geotechnical engineering investigation, and specifically discloses a rock-soil investigation adjustable-depth sampling method, which acquires pore fluid pressure data in real time through a sensor group arranged at the front end of a sampler; based on the data, the evolution trend of the pressure field in front of the sampler is dynamically predicted, and a prediction result containing the pressure abnormal state and its space-time information is generated; the prediction result is processed in stages to obtain a pressure risk level; the level is used in a collaborative decision with the soil sensitivity and the target sampling quality to generate a dynamic control strategy; finally, the penetration action of the sampler is adjusted in real time according to the strategy, including performing a micro-retraction and re-penetration cycle or a gradual deceleration operation, and the control effect is ensured through closed-loop optimization; the present application can actively suppress water hammer and cavitation effect, and improve the quality and reliability of obtaining undisturbed samples in complex strata.

The application discloses a kind of dump groundwater sampling device, including fixed support, support is equipped with tunneling assembly and electric telescopic rod, electric telescopic rod movable end connects drive assembly, drive assembly is connected tunneling assembly and sampling assembly respectively;Sampling assembly contains symmetrical conical guide ring, ring bin, adjusting plate (baffle and filter plate splicing), linkage ring, gear ring, gear and first motor, tunneling assembly contains shell, screw rod and throwing window, drive assembly contains second motor, transmission shaft and compression spring.After reaching the preset sampling depth, adjusting plate realizes sampling and sealing switching, filter plate filters impurities, improves sampling efficiency, and is suitable for complex dump environment.

The invention relates to a method for identifying a traditional building based on a multi-feature fusion model, and the method comprises the steps: collecting remote sensing image data of the traditional building in a research region, and carrying out the data preprocessing; based on the preprocessed data, multi-type features are extracted, and a key feature space is constructed; wherein the extracted multi-type features comprise a vegetation index, an HSI color feature and a texture feature; constructing a traditional building sample library based on the key feature space; using the traditional building sample library to train and optimize a preset machine learning classification model to obtain an identification model; and performing traditional building identification by using the identification model. According to the method, efficient and accurate recognition of the traditional building can be realized, and meanwhile, a visual result and structured data are output, so that a technical support is provided for general survey registration, protection repair and dynamic monitoring of the traditional building heritage.

The invention provides a ship radiation noise data augmentation method based on spectrum reconstruction, a medium and a system, and belongs to the technical field of ship radiation noise processing. After a continuous spectrum and a line spectrum are separated through smooth filtering, a continuous spectrum segmentation parameter, a line spectrum frequency amplitude parameter and a modulation spectrum fundamental frequency parameter are extracted; constructing a continuous spectrum reconstruction game model and a line spectrum detection game model to respectively optimize a filter coefficient and a detection threshold, solving the filter coefficient based on the continuous spectrum reconstruction game model by adopting a variable step size normalized adaptive iterative algorithm, and generating a continuous spectrum reconstruction time domain signal; a line spectrum effective frequency set is determined by adopting a constant false alarm rate adaptive detection algorithm based on a line spectrum detection game model, then a line spectrum reconstruction time domain signal is generated, a modulation pulse sequence is constructed according to the main shaft frequency and the blade number to generate a modulation spectrum reconstruction time domain signal, and the technical problem that the number of ship radiation noise samples is insufficient is solved.

The invention provides an advertisement video generation method and device, a computer readable medium and electronic equipment. The method comprises the steps that based on article unit information of a target article, an advertisement image corresponding to the target article is determined from a pre-constructed advertisement image library, and the advertisement image library is acquired after all article units are screened based on visual appearance features; according to the advertisement image, generating at least one candidate advertisement video corresponding to the target object; and determining evaluation scores of the candidate advertisement videos under a plurality of preset evaluation dimensions, and determining a target advertisement video corresponding to the target article from the at least one candidate advertisement video based on the evaluation scores under the plurality of evaluation dimensions. According to the method and the device, full-process automatic processing from commodity category collection to video generation and evaluation can be realized by establishing double filtering for advertisement video generation.