8results about How to "Improve post-processing efficiency" patented technology

This utility model provides a sample post-processing system, including a sample entry / exit unit, a transport track, a refrigeration module, a conveying module, and a scheduling module. The conveying module interfaces with the refrigeration module, enabling the storage of samples in the refrigeration module and the transfer of samples from the refrigeration module. The scheduling module coordinates the arrangement of sample containers on the conveying module, allowing samples to be transported back to the production line for re-inspection. Through the cooperation of the conveying module and the scheduling module, the system achieves sample transport, storage in the refrigeration module, and re-inspection of samples transferred from the refrigeration module. This allows sample containers to circulate smoothly between the sample entry / exit unit, the transport track, and the refrigeration module, simplifying the sample post-processing process.

The utility model discloses a 3D printing model multifunctional post-processing all -in -one belongs to 3D printing field, including belt conveyor, support frame, erects the top of belt conveyor, two rotatory bearing spare, rotatable and penetrates support frame, double -end servo motor and two drive parts, all set up in support frame top, two drive parts are connected with double -end servo motor two output respectively, and another end is connected with adjacent rotatory bearing spare. The utility model discloses a 3D printing model multifunctional post-processing all -in -one, its through the integration of ultraviolet curing and fan cleaning function, need not use multiple separate equipment, has saved the site space, has simplified the operation process, has improved the post -processing efficiency, through double -end servo motor, drive part and rotatory bearing spare's cooperation simultaneously, drives ultraviolet curing lamp and fan and revolves around the model, has realized to the all -round, even processing of model, avoided the problem of traditional equipment processing uneven, improved the post -processing quality.

The invention relates to a YOLO v3 post-processing hardware acceleration method based on a look-up table method, which comprises the following steps of: 1) establishing two look-up tables according to two operators of sigmoid and exp functions involved in a decoding calculation process; 2) analyzing the required storage space according to the quantization bits and the network structure; 3) distributing a corresponding BRAM storage block for the lookup table according to the required storage space; 4) calculating the data to be decoded, and putting a calculation result into a lookup table; 5) inputting to-be-decoded data, putting the to-be-decoded data into the cache unit, and arranging the to-be-decoded data; 6) reading data to be decoded, and searching corresponding calculation data from the lookup table; 7) inputting the calculation data into a parallel calculation unit to obtain decoding data; and 8) putting the decoded data back to the initial position in the cache unit. According to the method, the lookup table is established, the to-be-decoded data in YOLO v3 post-processing is subjected to decoding calculation, post-processing calculation is completed under the condition that few storage resources are used, the hardware scale is remarkably reduced, and the post-processing efficiency is improved.

The invention provides aluminum fumarate and a synthesis method thereof. The synthesis method comprises the following steps: mixing organic aluminum, an organic carboxylic acid ligand and an alkaline substance in water according to a molar ratio of 1: (1.8-2.8): (1-8), and carrying out thermal reaction to obtain aluminum fumarate; wherein the organic carboxylic acid ligand is selected from one or a combination of more than two of fumaric acid, maleic acid and isophthalic acid. According to the synthesis method, organic aluminum is adopted, a large amount of heat can be released when the organic aluminum is decomposed in water, so that synthesis of aluminum fumarate is promoted, meanwhile, the decomposition process is beneficial to promotion of deprotonation of fumaric acid, reaction time is shortened, the dosage of alkaline substances is reduced, generated wastewater is closer to be neutral, cost is reduced, and the production scale is convenient to enlarge. The aluminum fumarate is of a staggered flower-shaped spherical structure, and the specific surface area of the aluminum fumarate is remarkably increased.

The present application relates to the field of data acquisition, and relates to a power distribution system multi-data fusion acquisition method based on artificial intelligence. The present application acquires the values of high-frequency electrical parameters and low-frequency environmental parameters corresponding to each acquisition device in the power distribution system in real time, judges whether there is a transient mutation, if there is, obtains the trend consistency index with the adjacent acquisition device to judge whether the corresponding acquisition device is normal, if normal, prioritizes the abnormal parameters, and sequentially performs intelligent filtering processing on the tracking acquisition data of each abnormal parameter, when the fault characteristic signal is identified, the transient mutation value of each abnormal parameter is retained, otherwise, the corresponding transient mutation value is removed, the clock drift between each acquisition device is compensated using a unified time reference, the characteristic data stream referenced by high frequency and low frequency is generated respectively, and uploaded to the cloud analysis platform and mapped to each device node, so that the data acquisition is more accurate and reliable, and provides support for accurate analysis.

The invention discloses an automatic shooting system based on a wireless positioning beacon, relates to the technical field of automatic shooting, and aims to solve the problems of high cost, complex deployment, low multi-target tracking efficiency and difficulty in classification of shot contents of an existing automatic shooting system. The system comprises a plurality of beacons and one or more shooting devices, the beacons are attached to a shot object, and distance measurement, communication and motion sensor modules are integrated; the shooting device integrates distance measurement, communication, image recognition, shooting, track setting and a main program module. And the beacon and the shooting device dynamically adjust the distance measurement frequency through non-accurate time synchronization, and realize multi-target tracking, automatic shooting and shooting content classification in combination with the distance change characteristics of the preset motion trail and the image recognition result. The system is low in cost, easy to deploy, efficient in multi-target tracking, accurate in shot content classification and suitable for specific scenes such as ski field racing tracks and running roads.

The method, apparatus, equipment, and storage medium for post-processing vehicle simulation calculation data identify discrete simulation result files through global scanning, encapsulate them into atomic tasks, construct a globally unified queue, and silently distribute and execute them using a multi-core parallel resource pool. Based on preset semantic anchors, dynamic addressing and semantic mapping are completed, adapting to heterogeneous files with non-deterministic suffixes. At the data extraction source, structural-level dimensionality reduction and purification are performed to eliminate redundant data, ultimately outputting standardized structured data. This significantly improves post-processing efficiency, reduces system resource consumption, enhances system robustness, and allows the output data to be directly connected to modern data analysis tools, ensuring the consistency and accuracy of data processing in long-cycle projects.

The application belongs to the technical field of underwater robot visual perception, edge computing and target detection, and discloses an underwater target automatic identification method and system based on an improved YOLO algorithm, wherein the post-processing speed is greatly improved, an INT8 domain pre-confidence screening mechanism filters more than 90% of background candidate boxes, the time consumption ratio of post-processing is reduced from more than 30% of the traditional to less than 10%, and the overall operation speed of the application is significantly improved. The application has good real-time performance, a multi-thread parallel inference pipeline architecture fully utilizes the heterogeneous computing power of RK3588S, hides single-frame inference delay, realizes stable real-time detection frame rate of 15-25 FPS under 1280*720 resolution, and can timely capture fast-moving underwater targets. The application has high integration, realizes deep integration of the identification application and technologies such as mechanical grabbing and autonomous return, forms a full-autonomous operation closed loop of identification-positioning-grabbing, and the autonomous decision rate is more than 90%, thereby greatly reducing the dependence on manual operation.