12results about How to "The result error is small" patented technology

The invention relates to the technical field of general image data processing or generation, in particular to a soybean germplasm resource high-throughput measurement method based on image recognition, and the method comprises the steps: obtaining a correction image of a target measurement object; based on the corrected image, pod contour image parameters and grain contour image parameters are extracted, and size correction is carried out on the image; calculating a pod length parameter, a grain length parameter, a pod width parameter and a grain width parameter based on the corrected image; obtaining a pod width change curve based on the pod width parameter; calculating the pod number based on the pod width change curve; extracting colors based on the corrected image to obtain pod color data and grain color data; and verifying a pod length parameter, a grain length parameter, a pod width parameter, a grain width parameter, pod color data and grain color data based on the decision coefficient and the root mean square error. The problems that in the prior art, time and labor are consumed, and precision is low are solved.

The invention discloses an intermittent hypoxia load prediction method for obstructive sleep apnea, which comprises the following steps: 1) data acquisition: acquiring oxyhemoglobin saturation information; 2) calculating an intermittent hypoxia index IHI, wherein IHI = S / TST or IHI = S / TRT; wherein S represents the total area under the desaturation curve, TST represents the total sleep time with minute as the unit, and the method is used for polysleep monitoring; tRT represents the total recording time and is used for portable sleep monitoring; iHI represents an intermittent hypoxia index; and 3) determining the intermittent hypoxia load of the obstructive sleep apnea based on the intermittent hypoxia index IHI. The invention provides a new method, namely a Newton-Kittius formula, to calculate the OSA patient nighttime hypoxia load (namely the area under a desaturation curve), and the calculation method has the characteristics that different algebraic precision operation can be performed on data according to the characteristics of the data, so that the result error is small.

The invention relates to a battery extrusion testing device and method, in the device, a fixing assembly is arranged on a supporting assembly, a control module is connected with an extrusion head, and the fixing assembly fixes a to-be-tested battery; the extrusion head extrudes at least two extrusion positions of the to-be-detected battery; the control module controls the extrusion head to move in at least two extrusion directions; the extrusion directions are in one-to-one correspondence with the extrusion positions, so that the extrusion test of the to-be-tested battery at different extrusion positions is realized. Compared with a traditional mode of fixing the to-be-tested battery through an adhesive tape, the testing reliability is greatly improved, and the number of times of testing interruption caused by abnormity is reduced. The testing device is simple in structure and can be suitable for to-be-tested batteries of different sizes and models; the extrusion test is performed on at least two extrusion positions of the to-be-tested battery, so that the obtained test result can more accurately represent the extrusion resistance of the to-be-tested battery, and the result error of the extrusion resistance test of the battery is reduced.

The invention discloses a method for determining the maximum burial temperature of a stratum by using carbonate rock cluster isotopes. The method provided by the invention comprises the following steps: collecting a stratum sample and carrying out petrology analysis; the carbonate cluster isotope delta 47 of the sample is tested; calculating the cluster isotope temperature T delta 47 of the sample; preliminarily estimating the maximum burying temperature range of the stratum where the sample is located; and selecting a solid reset model according to the preliminary estimation result, and determining the maximum burying temperature of the stratum. According to the method, the problem that the maximum burying temperature is difficult to accurately determine due to lack of vitrinite or zircon in the ancient marine carbonate rock stratum is solved, the result error is reduced, the application range of the method is defined, the feasibility is improved, and the method has very important significance on hydrocarbon source rock organic matter maturity evolution and oil and gas resource evaluation in the stratum series.

The invention discloses a user daily electricity consumption mode analysis method for protecting user privacy, which comprises the following steps: a power supply side collects original user daily electricity consumption data from an intelligent electric meter deployed at a user side, summarizes the original user daily electricity consumption data into an original data set, and standardizes the user daily electricity consumption data to obtain a standard data set; the power supply side extracts an original user daily power consumption mode according to the standard data set, and obtains the category of each daily power consumption mode in the standard data set; the power supply side performs data perturbation on the standard data set based on differential privacy to obtain a perturbation data set; and the electricity selling side calculates and estimates a daily electricity consumption mode extraction result of the user according to the category of the daily electricity consumption mode and the disturbance data set obtained in the process. According to the method, the original power consumption data is analyzed on the power supply side, and the power selling side obtains the estimated analysis result through disturbed data calculation, so that the original power consumption data is isolated from the power selling side, and the privacy of the power consumption data of the user is protected.

The present invention provides a wear detection method / device, a control method, a medium and an electronic device. The wear detection control method includes: controlling a flow guide system to make the liquid flowing through the wear part flow in a preset state; controlling a collection system to collect microscopic video information of the liquid flowing in the preset state. The present invention adopts video collection and extraction technology to more intuitively obtain the information contained in the liquid, avoids the secondary processing method of other sensors, reduces the result error caused by process processing, not only reduces the cost, but also reduces the installation, compatibility and other technical problems during use, which is convenient for promotion and use.

The invention discloses an electronic equipment variant design method based on a large-scale language model, and belongs to the technical field of electronic equipment variant design. In order to solve the problem of generating a CBB model meeting corresponding field and function requirements, the method comprises the following steps: providing a command for generating a CBB model of target electronic equipment to a Tonyuan model; providing a prompt word adding command to the Tonyuan question model; an electronic equipment CBB model is generated, then a text command is input into the Tonyuan question model, and the Tonyuan question model generates an electronic product architecture according to the text command and the electronic equipment CBB model; the obtained text features serve as an electronic equipment variant data set; the Chinese edition BERT model is adopted as an electronic equipment variant design Bert model, then the electronic equipment variant design Bert model is finely adjusted based on a Lora method, and a trained Chinese edition BERT model is obtained; and according to the correlation of model text features, irrelevant electronic equipment CBB models are filtered out. The method is high in correctness.

The application discloses a kind of welded structure harmonic response structural stress fatigue life prediction method, comprising the following steps: step 1: build the finite element model of welded structure containing weld;Step 2: using unit external load to the finite element model of welded structure harmonic sweep frequency obtains node response displacement;Step 3: according to external load coefficient obtains the unit stiffness matrix and node displacement under external load, as follows: step 4: calculate the simple harmonic response structural stress and equivalent structural stress of structure.The welded structure harmonic response structural stress fatigue life prediction method of the application: (1) compared with traditional quasi-static method, can solve the problem that quasi-static method cannot be carried out vibration fatigue evaluation, (2) compared with frequency domain structural stress method, can solve the problem that frequency domain structural stress method cannot evaluate simple harmonic vibration fatigue, (3) compared with traditional transient structural stress method, the method of the application is more efficient, and the result error is very small.

The invention relates to the technical field of cigarette processing, in particular to a cigarette making machine comprehensive quality evaluation method based on a graph neural network, which comprises the following steps: dividing pre-processed related data into evaluation layers of different indexes based on hierarchical analysis decision, and finding out factors of different levels from the evaluation layers of different indexes; finding out relevance between different level factors and different index evaluation layers from different index evaluation layers based on gray correlation analysis; on the basis of an entropy evaluation method weight solving method, finding out the weights of the correlation factors corresponding to the different index evaluation layers in the corresponding index evaluation layers from the different index evaluation layers and the factors of the different levels; and based on different index evaluation layers, a correlation analysis layer, a weight analysis layer and the defined graph convolutional network layer, combining an attention mechanism, normalization operation and FC regression to construct an optimized cigarette making machine comprehensive quality evaluation graph neural network.

The utility model discloses an automobile tire pattern depth gauge which comprises a holder and a measuring ruler strip which is vertically and movably inserted in the vertical central axis position of the holder, and ear handles are further arranged on the two sides of the holder. A buckle is horizontally and slidably connected to the position, close to the bottom, of the holder, and a clamping groove corresponding to the buckle in position is formed in the side face of the measuring ruler strip. An annular supporting base is horizontally arranged at the bottom of the holder, and the circle center corresponding to the supporting base is located on the vertical axis of the measuring ruler strip. According to the utility model, the bottom of the holder is coaxially provided with the annular supporting base which is located on the same horizontal plane with the bottom of the holder, so that the depth gauge has a three-dimensional structure, the supporting base can vertically support on the tread of a tire at 360 degrees, and the scale marks on the measuring ruler strip can directly face a worker on the side surface of an automobile; not only can the perpendicularity be easily kept, but also the reading is convenient, the result error caused by reading and operation is greatly reduced, and convenience is brought to use.

The invention provides a rocket carrying capacity optimization method and device, electronic equipment and a storage medium, and relates to the technical field of carrier rockets, and the method comprises the steps: determining a plurality of target design parameters in the design parameters of a to-be-optimized rocket, and the deviation corresponding to each target design parameter; taking each target design parameter as an optimization variable, and determining a plurality of candidate design values corresponding to each target design parameter based on the deviation corresponding to each target design parameter; determining the optimal value of the carrying capacity parameter of the rocket to be optimized under each candidate design value corresponding to each target design parameter; and determining an influence function of each target design parameter on the carrying capacity parameter of the rocket to be optimized based on the optimal value of the carrying capacity parameter under each candidate design value corresponding to each target design parameter and the deviation corresponding to each target design parameter. According to the method and the device provided by the invention, the optimization efficiency of a rocket carrying capacity design scheme is improved.

The invention discloses a cement-based material shrinkage cracking test device, which comprises a base, a strain data acquisition instrument and a computer, the top end of the base is provided with an outer ring and an inner ring, the outer ring and the inner ring are used for manufacturing a test piece, the two sides of the outer part of the inner ring are fixedly connected with ribs, and the ribs are used for providing a cracking track for the test piece. Lifting handles are arranged on the two sides of the top end of the base, telescopic mechanisms, limiting mechanisms and clamping pieces are arranged on the lifting handles, each limiting mechanism comprises a tooth block and a plurality of ratchets, the telescopic mechanisms adjust the positions of the clamping pieces through clamping of the tooth blocks and the ratchets, and the clamping pieces are used for fixing the outer ring. Compared with an eccentric annular constraint test device, the device provided by the invention overcomes the defect of non-uniformity of the eccentric annular constraint test device, has geometric height symmetry, and overcomes the defect of offset of a crack cracking position caused by non-uniform distribution of stress at different angles of an eccentric ring; and the restraining uniformity of the circular ring on the mortar or concrete under the same radial thickness is ensured.