The invention discloses a blue-green algae identification and quantification method and device based on unmanned aerial vehicle remote sensing images and deep learning and a medium, and relates to the technical field of information dataprocessing. Combining meteorological data and water qualitymonitoring data to construct an adaptive dynamic environment algorithm to extract EXIF metadata including camera parameters and attitude angle information, and establishing a geometric projection model to perform coarse orthographic correction on an original aerial image; the method comprises the following steps: extracting a multi-scale cyanobacterial bloom image feature map by stages based on a ResNet architecture and in combination with a feature pyramid network FPN fused with an attention mechanism, and obtaining an instance mask of cyanobacterial bloom through an anchor-free region proposal network, ROI Align and a head network; based on an improved GIS space projection and deep learningalgorithm, carrying out high-precision area measurement and calculation on a binary mask image converted from the instance mask; according to the method, the influence of irrelevant interference on blue-green algae identification can be reduced, and the accuracy and comparability of blue-green algae identification and area calculation are improved.
The invention relates to a panoramic display system based on VR and a panoramic image stitching method. The system comprises a closed panoramic display screen and a video stitchingserver. The video stitchingserver is used for stitching a plurality of panoramic images to merge, generating a panoramic video, and outputting the panoramic video to the closed panoramic display screen for panoramic display; according to the invention, the closed panoramic display screen can display the content at 360 degrees without dead angles, and audiences can freely rotate the visual angle in the display screen to feel immersive experience. The first feature extractionalgorithm and the second feature extractionalgorithm are combined, the advantages of different algorithms can be fully utilized, and the accuracy and robustness of feature point extraction are improved. The feature points are screened according to the local gradient of the feature points, the difference of the descriptors and the positions of the feature points in the to-be-spliced image, the feature points which are unstable or do not meet requirements are removed, the feature points with higher representativeness and stability are reserved, and the matching accuracy and reliability are improved.
The invention discloses a charging load prediction method and device based on time sequencedecomposition and electronic equipment, belongs to the technical field of load prediction, and aims to solve the problem that a traditional prediction method is difficult to effectively capture a complex seasonal rule of charging of an electric vehicle. The method comprises the following steps: acquiring historical load data, wherein the historical load data comprises a load value and meteorological environment information in a preset period; a prior feature and a basic feature are obtained based on the historical load data, the basic feature comprises at least one of a time index feature and a meteorological environment feature, and the prior feature is obtained by decomposing a time sequence feature of the historical load data by a Prophet model; fusing the prior features and the basic features to obtain an input feature vector; and inputting the input feature vector into a pre-trained prediction module for load prediction to obtain a prediction result. According to the embodiment of the invention, the accuracy of the charging load prediction result can be improved.
This utility model discloses a printing engravingmachine with a lifting platform, relating to the field of engravingmachine technology. It includes a worktable, a support platform, an adjustment mechanism, and a lifting mechanism. The engravingmachine body is slidably mounted on the worktable. The support platform is located inside the worktable. The adjustment mechanism is located on the support platform for adjusting the angle of the support platform. The lifting mechanism is located inside the worktable for adjusting the height of the support platform. This utility model utilizes the coordinated arrangement of the support platform, adjustment mechanism, and lifting mechanism. The adjustment mechanism can adjust the tilt angle of the support platform, ensuring that the complex curved surfaces or sides of irregularly shaped workpieces are always in the optimal engraving position, eliminating the need for repeated disassembly and adjustment, thus significantly improving processing efficiency. The lifting mechanism can fine-tune the height of the support platform, ensuring that workpieces of different thicknesses can be stably fixed. It retains the stability of a traditional flat worktable while providing flexible reversibility, making it easy to use.
The invention discloses a power system security assessment method and device based on a steady-state security boundary. The method comprises the steps of obtaining power grid parameters of a power system, and determining a first coefficient of a linear power flow equation according to the power grid parameters in combination with a preset power flow model; the method comprises the following steps: acquiring historical operation data of a power system, and determining a linear relation between node power injection and branch power errors through partial least square regression according to the historical operation data; according to the first coefficient and the linear relation, obtaining a static thermal safety area boundary; and determining the safety state of the power system according to the power injection of each node of the current power system in combination with the static thermal safety region boundary. According to the method, the accuracy of the static thermal safety area boundary can be improved, so that the accuracy of safety evaluation of the power system is improved, and the safety of the power system is improved.
The application discloses a kind of intelligent text creation product integration printing delivery management method, including, obtain historical sales and social media multi-source data, generate sales forecast through adaptive weighted prediction model;The forecast is converted into atomization task with real-time order, and dynamic scheduling is carried out in digital twin environment using multi-objective optimization algorithm and objective entropy weight decision, to minimize line loss;After printing, actual image is mapped to latent space using GAN network for comparison quality inspection, and partial derivative is solved through proxy model to compensate bottom process parameters in reverse;Quality inspection is qualified, which automatically triggers coding and packaging, combines dynamic weight distribution optimal logistics company, and plans optimal collection path based on improved ant colony algorithm.The application breaks the information barrier of manufacturing and delivery chain, realizes the integrated collaborative management of high robustness prediction, flexible production scheduling, quality inspection self-healing and zero waiting delivery of text creation products.
A spinal pedicle screw implantation surgery navigation template and its preparation and use method, wherein the spinal pedicle screw implantation surgery navigation template comprises a positioning navigation body and a locking piece having a fitting plate, a locking platform and a positioning guide member, wherein the fitting surface of the fitting plate is used to fit with the surface of the vertebral plate on one side of the spine where the pedicle screw of the patient who needs to undergo pedicle screw implantation surgery is implanted, the locking platform is arranged in the middle of the working surface of the fitting plate and is provided with a fixing hole, the positioning guide member is arranged at the edge of one side of the working surface and is provided with a guiding channel, the guiding channel is used for implanting the pedicle screw to be implanted on the pedicle of the patient's spine, and the locking piece is used to fix the positioning navigation body on the vertebral plate of the patient's spine where the pedicle screw to be implanted is implanted through the fixing hole. The present invention can fix the entire positioning navigation body on the vertebral plate of the patient's spine where the pedicle screw to be implanted is implanted, and the surgery can be performed by only fixing it on the unilateral vertebral plate of the patient's spine, with less surgical dissection, smaller incision, and better medical effect.
The present invention discloses an image classification method based on multi-level adaptive feature fusionincremental learning, including step 1, the first training, obtaining the first image sample set and the first model after training; step 2, when a new type needs to be identified, incremental update is performed, and after the Mth incremental update, the M+1th model and the fusion coefficient of the Mth model and the M+1th model are obtained; M represents the number of incremental updates, which is a natural number greater than or equal to 1; step 3, during testing, the M+1th model and the Mth model are used to perform feature fusion according to the fusion coefficient, and the prediction result is output. This method solves the problem that the current object recognition algorithm cannot continuously learn new categories and new knowledge, and the incremental learningalgorithm cannot effectively utilize the information of the old model and forgets the old knowledge to a large extent.
The invention relates to the technical field of old building reinforcement, in particular to a method for reinforcing an old common wall structure based on frame structure conversion. The reinforcing method for the old common wall structure based on frame structure conversion specifically comprises the following steps that a foundation is constructed, specifically, a bearing platform foundation is poured at the position, close to a common wall, of the to-be-dismantled side; a back supporting structure is installed, specifically, a first connecting plate is fixed to the lower portion of an original frame beam, a second connecting plate is fixed to the upper portion of a bearing platform foundation, and the two ends of a back supporting column body are fixedly connected with the first connecting plate and the second connecting plate respectively; segmenting the floor slab: determining the segmentation boundary of the floor slab to be reserved and dismantled, and carrying out paying-off positioning; dismantling an original building frame: firstly dismantling floor slabs and then dismantling beams; construction of a newly-built structure: constructing a newly-built building on one side of the common wall; and the common wall protection structure is dismantled, specifically, after construction of the newly-built structure is completed and an effective support is formed for the common wall, static cutting dismantling is conducted on the common wall protection structure. The method has the advantages that excessive damage to the common wall is avoided, and the stability of the original structure is kept.
The application relates to the technical field of computer system evaluation, and particularly discloses an evolvable and reliable cloud level calculation system and method based on game optimization; the method comprises the following steps: in the first stage, a pair comparison matrix is established based on the theory of trusted computingdependency tree and the analytic hierarchy process to generate a static weight vector; in the second stage, multi-source threat data is collected through an AI model, a double comparison matrix is constructed through double-dimension labeling classification, and a dynamic weight vector is output; through game theory, an antagonistic pair of core security mechanisms is identified, an antagonistic gradient and the dynamic weight vector are calculated, a weight convergence interval and a level promotion upper bound are predicted, and an optimal weight evolution path is generated; the system is used for realizing an evolvable and reliable cloud level calculation method based on game optimization; and the application is favorable for improving the adaptability and predictability of cloud security evaluation and providing a decision basis for cloud service security optimization.
The invention belongs to the technical field of steelmaking equipment, and discloses a continuous casting secondary cooling chamber electric hoist intelligent controlsystem and method and application, the system comprises a remote monitoring control system, a programmingcontrol system and a secondary cooling chamber electric hoist equipment system, the remote monitoring control system is connected with the programming control system, and the programming control system is connected with the secondary cooling chamber electric hoist equipment system. And the programming control system is connected with the secondary cooling chamber electric hoist equipment system. Through an intelligent programming control system and remote monitoring control, a worker can perform control without entering a workshop, so that the labor cost is reduced, and the working efficiency is improved. The remote control reduces the danger exposure of workers in the field, greatly reduces the probability of accidents, and improves the production safety.
The invention relates to a preparation method of an isavuconazole sulfate preparation, and belongs to the technical field of medicament preparation, by adding a dissolution-promoting stabilizer prepared from a mixture of water-soluble cellulose and chitosan, the solubility of isavuconazole sulfate in the preparation is improved, and rapid dissolution and absorption of a medicament in a body are facilitated, so that the bioavailability is improved. And mixing and unfreezing treatment are carried out at the low temperature of 0-10 DEG C, so that the stability of active ingredients of the medicine is favorably maintained, degradation or denaturation caused by high temperature is reduced, and the purity and curative effect of the product are ensured. Through pre-freezing and multiple unfreezing treatments and in combination with filter membrane filtration, impurities and particles in the solution can be effectively removed, and the clarity and purity of the preparation are improved. Then moisture is rapidly removed at low temperature, active ingredients and stability of the medicine are reserved, and meanwhile damage of high temperature to the medicine is avoided.
The invention relates to preparation of a nickel-doped carbonquantum dot nano material for efficient photocatalytic reduction of CO2 into methane, belongs to the field of photocatalysis, and particularly relates to application of a quantum dot nano material Ni-CDs catalyst in photocatalytic reduction of CO2 into methane. A nickel-doped carbonquantum dot precursor substance is synthesized through a simple one-step hydrothermal method, and nickel-doped carbon quantum dots with uniform size distribution are obtained through high-speed centrifugation, suction filtration, freeze drying and other technologies. Compared with pure-phase CDs, the photocatalytic performance of Ni-CDs is obviously enhanced, efficient conversion of CO2 is achieved under the condition of visible light, and the yield of methane is 20 micromol / g.h and is 10 times that of the pure-phase CDs. By doping the nickel ions, the light absorption range of the Ni-CDs reaches a near-infrared region, so that the photocatalytic performance is enhanced, and meanwhile, the quantum yield of the nano material is also greatly improved. According to the invention, CO2 is catalytically reduced into methane by fully utilizing solar energy, and an effective solution is provided for carbon reduction.
This invention relates to a Bluetoothheadset with dual listening modes, comprising a control unit, a stand, an over-ear headset, a storage drive unit, and an in-ear headset with an ear wire and an ear tip. The over-ear headset is mounted on the stand, and both the control unit and the storage drive unit are installed in the over-ear headset. The control unit is communicatively connected to both the over-ear headset and the in-ear headset. The ear wire is installed in the storage drive unit, with one end of the ear wire passing through the over-ear headset and connecting to the ear tip. The ear tip protrudes from the over-ear headset. Listening can be performed directly using the over-ear headset; alternatively, listening can be performed by pulling the ear tip to extend the ear wire from the storage drive unit, which then locks the current position. To remove the ear wire, the storage drive unit retracts the ear wire. It features a headset, a storage driver unit, and an in-ear headset. The storage driver unit and in-ear headset are integrated into the headset, achieving a dual-mode integrated design. The headband and neckband modes can be switched simply by extending or retracting the ear cable. This design retains the sound quality advantages and wearing stability of over-ear headphones while also providing the portability of neckband headphones.
The present invention discloses a combined tumor-type knee jointprosthesis with retained epiphysis, comprising a femoral prosthesis gripper, a connector and a femoral prosthesis stem component arranged from bottom to top; a plurality of gripper pieces are arranged at equal intervals at the bottom of the side end surface of the femoral prosthesis gripper; the femoral prosthesis gripper is fixedly connected to the connector; a side hole plate is arranged at the top of the side end surface of the connector, and four side screw holes are opened at equal intervals from top to bottom on the side hole plate. The combined tumor-type knee jointprosthesis with retained epiphysis of the present invention can effectively retain the epiphysis after the resection of malignant bone tumor of distal femur in children, retain the growth ability of the epiphysis, and the stability of the knee joint, and can effectively reduce clinical problems such as unequal length of lower limbs after bone tumor surgery in children.
The embodiments of the present invention belong to the field of artificial intelligence, and in particular, to a method, device, equipment and storage medium for recommending goods, the method comprising: identifying the data type of the interactive information between users and goods, selecting a corresponding goods similarity algorithm according to the data type to calculate the goods similarity, and standardizing the calculated goods similarity results, wherein the data type includes Boolean vectors and non-Boolean vectors; selecting a corresponding user similarity algorithm according to the data type to calculate the user similarity, and standardizing the user similarity; and calculating and sorting the recommendation factors between each user and the goods according to the goods similarity and the user similarity, and adding the most relevant N goods to the corresponding user recommendation list according to the recommendation factors, wherein N is the capacity of the recommendation list. The present invention improves the accuracy of recommending goods to users.