8results about How to "Reduce inspection" patented technology

The utility model belongs to the technical field of guitars, and discloses a guitar shell, which comprises a guitar body and a guitar neck, the guitar body is connected with the guitar neck through a fixing bolt, a positioning assembly is arranged on the guitar neck at a position corresponding to the fixing bolt, and the positioning assembly comprises a fixing shell fixed on the guitar neck. Two springs which are symmetrically arranged up and down are arranged in the fixed shell, movable plates are connected to the ends, away from each other, of the springs, movable rods are connected to the sides, away from the springs, of the movable plates, the ends of the movable rods penetrate through the fixed shell and are connected with sawtooth plates, and the positioning assemblies can effectively limit displacement and rotation of the fixed bolts; according to the guitar, the connecting stability of the guitar body and the guitar neck is greatly enhanced, the loosening frequency of the fixing bolt is reduced, the times of checking and fastening the bolt by a player are reduced, the maintenance time and energy are saved, meanwhile, guitar performance reduction caused by loosening of the bolt is avoided, the service life of the guitar is prolonged, and the maintenance cost is reduced.

The embodiment of the invention discloses a power transmission line section division method and device, equipment and a medium, and the method comprises the steps: obtaining the hidden danger data and position information of each tower in a power transmission line in a preset range, and enabling the hidden danger data to be the occurrence frequency of each hidden danger type in each tower in a preset time; determining comprehensive weight information of each hidden danger type according to the hidden danger data; determining a hidden danger score of each tower according to the comprehensive weight information and the hidden danger data; and according to the position information and the hidden danger score of each tower, dividing the power transmission line in the preset range into a plurality of sections. By considering the hidden danger data of each tower, potential safety risks can be identified more accurately, and high-risk sections are divided, so that targeted maintenance and repair measures are taken, and the possibility of accidents is reduced. Moreover, reasonable section division is beneficial to optimizing resource allocation, it is ensured that the key area is monitored and maintained more frequently, and the overall safety of the power transmission line is improved.

The invention relates to the technical field of early screening of osteoporotic compression fracture, and provides an osteoporotic compression fracture screening method based on a multi-modal large language model. A multi-modal large language model is introduced to carry out quantitative evaluation on key functions such as posture alignment, motion coordination and pain-related reactions of a patient from images and videos, and the key functions are output in a standardized scoring form, so that structural features with clear clinical significance are automatically extracted. And constructing a machine learning model based on the above structured features, evaluating the OVCF occurrence risk, and determining key discriminant factors and the action direction thereof in combination with an SHAP feature contribution analysis and decision tree visualization method, so as to realize interpretable expression of the prediction process. The technical scheme which is safe, low in cost, explainable and easy to popularize is provided for early screening of the OVCF, and the method is suitable for various application scenes such as community and home screening.

The utility model relates to a kind of equipment for chip fixture defect detection, including bottom plate, the bottom plate upper end is equipped with chip fixture detection tooling platform, the left side of the bottom plate upper end is equipped with chip fixture detection tooling platform front end and locates the chip fixture detection tooling platform front end and locates the right side and is equipped with at least two placing box, the bottom plate upper end is located above chip fixture detection tooling platform and is respectively provided with front transverse transmission platform and rear transverse transmission platform from front to back, the front transverse transmission platform is equipped with the lifting transfer device that can be moved up and down, the rear transverse transmission platform is equipped with D laser detection device.The utility model realizes more efficient, more accurate defect identification and control, to comprehensively improve the intelligent level of production line and product quality stability.

This utility model discloses a drone-mounted photovoltaic panel cleaning device, comprising a drone, a drone hanger mounted on the bottom of the drone, and a cleaning device mounted on the bottom of the drone hanger. The cleaning device includes a main pipe and branch pipes, with the branch pipes distributed on both sides of the main pipe and fixedly connected to the bottom of the drone hanger. A ducted fan is installed at the front opening of the main pipe, and a liquid container is installed at the top front of the main pipe. A downward-spraying atomizing nozzle is installed at the end of the branch pipe furthest from the main pipe. This utility model, by using a drone mounted on a cleaning device for cleaning and maintaining photovoltaic equipment, can reduce the large amount of travel required for traditional manual inspections, thereby reducing carbon emissions. Simultaneously, the drone can quickly inspect and clean flexible photovoltaic power stations in mountainous areas, significantly shortening the inspection and maintenance cycle and improving work efficiency.

The invention belongs to the technical field of biomarker detection, discloses a biomarker detection method for early diagnosis of gestational liver injury, solves the problems that existing diagnosis of the gestational liver injury depends on laboratory large-scale equipment, consumes long time and is insufficient in accuracy of a single index, can realize rapid early screening of primary medical institutions, and improves the diagnosis accuracy of the gestational liver injury. The risk of serious complications such as gestational hepatic failure is reduced; all the modules are connected through plug-in interfaces, the assembly time is less than or equal to 2 minutes, the weight of the whole device is only 150g, the size of the whole device is equivalent to that of a mobile phone, the device is adaptive to primary screening scenes of primary clinics, community hospitals and homes, and the whole process of sampling, detection and result obtaining is completed within 30 minutes.

The present application relates to the technical field of early screening of osteoporotic vertebral compression fractures, and proposes an osteoporotic compression fracture screening method based on a multi-modal large language model, which takes patient posture images and action videos and other unstructured visual data as input, introduces a multi-modal large language model to quantitatively evaluate key functions such as patient posture alignment, motion coordination and pain-related responses from images and videos, and outputs in the form of standardized scores, automatically extracting structured features with clear clinical significance. Based on the above structured features, a machine learning model is constructed to assess the risk of OVCF, and combined with SHAP feature contribution analysis and decision tree visualization methods, the key discriminant factors and their action directions are clarified, realizing the interpretable expression of the prediction process. A safe, low-cost, interpretable and easy-to-promote technical solution is provided for the early screening of OVCF, which is suitable for various application scenarios such as community and home screening.

The present application relates to a kind of flushing pipeline and flushing method of ship oil residue pipeline, belong to ship equipment technical field. The incinerator waste oil tank in ship is used to collect the waste oil generated by each equipment;Waste oil is communicated to incinerator waste oil tank by oil residue pipeline;Incinerator waste oil tank is communicated to the oil residue pipeline input end of incinerator by oil residue conveying pipeline, and incinerator is equipped with oil residue backflow pipeline and is communicated to incinerator waste oil tank;Incinerator diesel tank is communicated to incinerator by diesel pipeline, and incinerator is equipped with diesel backflow pipeline and is communicated to incinerator diesel tank;Parallel oil residue flushing pipeline is connected on the diesel backflow pipeline of incinerator waste oil tank and incinerator;Oil residue flushing pipeline is one-way pipeline for diesel backflow pipeline to oil residue output end.The ship oil residue pipeline flushing pipeline used in the present application does not need to make large-area change to existing pipeline and equipment, i.e., improvement is added to existing equipment, reduces construction process, and reduces construction cost.