10results about How to "Improve tuning efficiency" patented technology

The utility model discloses a four -axis rotary table regulation structure relates to four -axis rotary table regulation technical field, and its technical scheme is: including lathe table, the bottom plate is equipped on lathe table top, and lathe table is connected with the bottom plate through bolt fixing, and the sliding slot is seted up in bottom plate one side, and the sliding block is equipped in the inside of sliding slot, and the fixed installation plate is equipped in the top of sliding block, and the rotary table body is equipped on the top of installation plate, and two adjusting assemblies are equipped on the top of installation plate, and the positioning assembly is equipped on the top of bottom plate, adjusting assembly includes adjusting block, and the beneficial effect is: the utility model discloses the cooperation of six -sided screw rod and adjusting block through the setting adjusting assembly, can realize the accurate adjustment of rotary table body position, and the position of adjusting block can be fine -tuned to the rotation six -sided screw rod, thereby accurately adjusting the position of rotary table body, ensures that rotary table can reach the ideal position accuracy, greatly improves the machining accuracy of lathe, satisfies the demand of high -precision machining.

The application discloses a CDC shock absorber whole vehicle abnormal sound quantification method, device, equipment and medium, relates to the automobile NVH test and diagnosis technical field, and the method comprises the following steps: obtaining subjective evaluation based on abnormal sound perception, vibration signals and sound signals measured by sensors under different driving conditions; obtaining vibration characteristic values based on the vibration signals, obtaining sound characteristic values based on the sound signals, and converting the subjective evaluation into standardized subjective score values; calculating standardized vibration values and standardized sound values, and calculating an abnormal sound comprehensive quantification index in combination with the standardized subjective score values; dividing the abnormal sound levels based on the abnormal sound comprehensive quantification index, combining the divided abnormal sound levels and the vibration characteristic values, and outputting adjustment suggestions for the CDC shock absorber. The application realizes objective and accurate quantification of the abnormal sound degree through multi-source data fusion and characteristic frequency analysis.

The invention relates to the technical field of camera debugging, in particular to a camera module tuning method, and aims to solve the technical problem of how to realize tuning of a camera module more efficiently. In order to achieve the purpose, the collaborative interaction system is created, and the collaborative interaction system comprises a local code bin, an automatic file verification module and a temporary storage area. In response to the adjustment and optimization service provider submitting adjustment and optimization data to the local code warehouse, triggering an automatic file verification module to execute automatic verification; if the automatic verification is passed, submitting the tuning data to a temporary storage area and generating a notification, otherwise, returning the tuning data to a local code bin and prompting a failure reason; in response to the notification, pulling the tuning data to a local bin for the personnel of the tuning demand side to perform local verification; if the local verification is passed, the tuning data is combined into the code general warehouse of the tuning demand side, otherwise, the problem feedback information is transmitted back to the local code warehouse for further tuning of the tuning demand side, the tuning efficiency is improved, and the communication cost is reduced.

The utility model relates to laser cutting technical field especially is a kind of glass laser cutting device, including laser cutting mechanism and moving platform, the laser cutting mechanism includes laser, reflecting mirror piece and objective, the moving platform is located the below of objective, the moving platform is used to place glass sheet, glass sheet includes the upper layer, intermediate layer and lower layer of primary connection, the laser is used to generate laser, and laser is cut glass sheet after passing reflecting mirror piece and objective.The utility model provides a kind of glass laser cutting device, and different cutting depth can effectively improve product yield to promote;Different cutting depth can effectively improve the strength and the strain force of small piece glass after cutting.

This utility model relates to an adjustable suspension arm bushing, comprising an inner bushing tube, an outer bushing tube, and a rubber body. The outer surface of the inner bushing tube is threaded, and the outer bushing tube is coaxially sleeved on the inner bushing tube. The rubber body is bonded between the inner and outer bushing tubes, and both ends of the rubber body have axially protruding bosses. A first limiting block and a second limiting block are screwed onto both ends of the inner bushing tube, respectively. By adjusting the screw-in depth of the first and second limiting blocks, the compression of the bosses is changed, thereby adjusting the axial stiffness of the suspension arm bushing. The advantages of this utility model are that it can reduce development costs and time, and improve adjustment efficiency.

The utility model discloses a six -sided top press top hammer regulation and correction positioning device relates to superhard material synthetic equipment technical field, the utility model discloses a square main part, the square main part inner chamber is provided with positioning assembly, positioning assembly one side is provided with the dismantling subassembly. The utility model positioning assembly through will battery with mounting block, laser emitter form linkage power supply structure, and laser emitter keeps parallel with square main part edge, so that the regulation and correction top hammer need not closely standard block, and laser emitter can directly to each direction top hammer projection clear light spot, avoid top hammer advance and block sight, realize the synchronous inspection of many top hammer, need not repeatedly start and stop the work cylinder adjustment position, open laser emitter, form two laser light spots on every top hammer, mark position with marking pen, when subsequent inspection, through the relative position of light spot and corresponding mark point, can confirm the deflection direction and amplitude of six top hammer, and regulation and correction efficiency greatly promote.

This invention discloses a device for adjusting the arc shape of a vehicle's outward-swinging door and its usage method, belonging to the field of vehicle manufacturing technology. It includes a connecting beam structure and a clamping mechanism. The connecting beam structure has a support beam positioned along the length of the outward-swinging door on its inner side. The clamping mechanism has an L-shaped adjusting guide rod. One end of the adjusting guide rod is slidably mounted on the support beam on the side away from the outward-swinging door, and the other end has a connecting crossbar positioned on the outer arc-shaped surface of the outward-swinging door. The adjusting guide rod and the connecting crossbar form a U-shaped structure, with its open end positioned on the side of the outward-swinging door. The connecting crossbar can move closer to or further away from the outward-swinging door along the adjusting guide rod. A clamping component is mounted on the connecting crossbar, symmetrically arranged with the support beam along the outward-swinging door. This invention enables visual comparison and rapid, precise adjustment of the outward-swinging door's arc shape against the vehicle frame, improving the consistency of product adjustment quality and production efficiency.

The invention discloses an intelligent decision algorithm model design and development auxiliary system, and relates to the technical field of computer software, and the system comprises a data flow and feature engineering pipeline which is used for automatic data processing and feature construction; the model factory and hyper-parameter autonomous optimization engine is used for automatically generating and optimizing a model based on Bayesian optimization; the multi-dimensional evaluation and decision-making cockpit is used for carrying out comprehensive performance evaluation and visual comparison on the candidate models; and the full-life-cycle tracing and knowledge graph module is used for systematically recording and managing experimental knowledge. The invention aims to solve the problems of fragmentization of a model development process, low hyper-parameter tuning efficiency and weak experiment management, realizes full-process automation and intelligent coordination from data to model deployment, improves development efficiency and model performance, and promotes precipitation and reuse of knowledge.

The invention discloses a soil arsenic content spectrum prediction model based on a continuous projection algorithm, and belongs to the technical field of soil arsenic content prediction. A technical route of overlapping peak separation preprocessing, continuous projection algorithm feature screening and multi-source feature fusion to AdaBoost lightweight ensemble learning is adopted, and the technical problems of spectrum overlapping peak interference, complex model parameter adjustment, neglecting of the influence of mining activities and deformation on the arsenic content and the like are solved. According to the method, the accuracy and robustness of soil arsenic content prediction are improved, the model debugging process is simplified, and the method is suitable for soil arsenic pollution accurate monitoring and ecological risk assessment of the grouting and filling mining area.

The invention relates to a black-box scene-oriented fine-grained large-language model pedigree identification method, which comprises the following steps of: constructing a large-language model black-box detection framework combined with multi-task domain knowledge and a scientific representative sampling technology, covering a task query pool of multiple dimensions such as medical questions and answers, mathematical reasoning and the like, and utilizing a screening algorithm based on TF-IDF vectorization and KMeans clustering to identify a fine-grained large-language model pedigree. And extracting most representative detection samples from each task to construct a target query set. Secondly, constructing a task-level knowledge fingerprint extraction model based on semantic topology and structural fluctuation, and calculating a relative deviation vector of a response text relative to origin semantics and a stability statistic (variable coefficient) reflecting the knowledge stability degree by executing multiple independent generation experiments on the model; on this basis, a fine-grained pedigree evolution traceability fingerprint based on multi-level joint weighted aggregation is realized, the fingerprint can perform automatic weighting for vulnerability degrees of different queries in stability ranking, and weight attenuation and compensation are performed in combination with task-level semantic confidence. And thus, the evolution similarity of the to-be-tested model relative to each candidate source model is accurately output.