8results about How to "Eliminate error accumulation" patented technology

The application discloses a mass spectrum combined characterization qualitative and quantitative method and system of unified hidden state, relates to the cross field of analytical chemistry, bioinformatics and artificial intelligence data processing, the method obtains original data and instrument / method metadata containing LC-MS / MS, encodes to form a condition vector and is used for conditional modulation, constructs wave encoder and particle encoder, respectively Tokenizes continuous chromatographic signal and discrete fragment peak set into wave encoder and particle encoder to obtain wave representation and particle representation, realizes cross-modal interaction through wave-particle fusion module, forms unified hidden state or object-level unified hidden state set, adopts two-stage training of self-supervised pre-training and task fine-tuning, and applies conditional quantitative operator and qualitative operator to unified hidden state or object-level unified hidden state set in the inference stage, and parallelly outputs quantitative results and identification score / probability, and is suitable for end-to-end qualitative and quantitative analysis in DDA / DIA scene.

The application discloses a path optimization system and method for an intelligent stringing robot, and relates to the technical field of artificial intelligence.The application realizes intelligent stringing robot path optimization through multi-dimensional innovation.Work sub-regions are divided according to power and dynamically matched with work ranges, device endurance and task requirements are accurately adapted, multi-machine collaborative scheduling efficiency is improved, and efficient execution of stringing tasks is ensured.A tilt detection system is constructed by means of vertical marker light and auxiliary analysis light, light projection deviation is quantified by combining image sensors, the tilt angle of the work area is accurately calculated, and reliable data is provided for path optimization.With the aid of tilt data interaction between multiple machines and the reference distance proportion compensation mechanism, the stringing path is dynamically corrected at the boundary of adjacent sub-regions, error accumulation caused by terrain differences is eliminated, and cable laying accuracy is ensured.Error analysis sets are established to realize data tracing and provide systematic support for construction process optimization, and work performance and construction quality are comprehensively improved.

The present application belongs to the technical field of material sorting, and particularly relates to a kind of crayfish commodity shrimp sorting device and method, including, annular conveying mechanism, multiple material box assemblies for carrying single shrimp one by one are arranged on it;Sorting unloading mechanism, and a plurality of sorting boxes are correspondingly arranged with sorting unloading mechanism;Annular conveying mechanism is arranged with righting guide rail on one side, and the bottom side of material box is in sliding contact with righting guide rail, so that when the annular conveying mechanism drives material box to move, under the constraint of righting guide rail, material box is gradually righted from the inclined unloading state to the horizontal loading state;The upper side of righting guide rail is uniformly distributed with a plurality of first air holes, and the jet direction of first air hole is directed to the material box in contact therewith.By constructing "closed loop sorting system", the overall efficiency of the system and the material utilization rate are improved, and the sorting accuracy and production efficiency are improved;Integrated online self-cleaning and friction-reducing maintenance function ensures the stability and sorting accuracy of long-term operation.

This invention relates to the field of resource allocation and task scheduling technology, and provides a method and device for intelligent event scheduling based on scheduling strategies. The method includes: configuring capability weights for each grid member; calculating their task allocation ratio within their respective grid based on these capability weights; storing the task allocation ratio, the total number of tasks in the grid within a period, and the number of tasks already allocated to each grid member as strategy data; triggering a scheduling process in response to a new event entering the system and being associated with a specific grid, and obtaining the strategy data corresponding to that grid; calculating the real-time availability index of each grid member within the specific grid based on the obtained strategy data, and selecting the grid member with the highest real-time availability index value as the target grid member; allocating the new event to the target grid member, and updating the number of tasks already allocated to that grid member in the strategy data. This invention can improve the rationality and execution efficiency of task allocation, and effectively ensure the compliance of long-term allocation strategies and the balance of the system.

This application discloses a unified latent state-based mass spectrometry joint characterization qualitative and quantitative method and system, involving the interdisciplinary fields of analytical chemistry, bioinformatics, and artificial intelligence data processing. The method acquires raw data from LC-MS / MS and instrument / method metadata, encodes it into conditional vectors, and uses them for conditional modulation. A wave encoder and a particle encoder are constructed, and continuous chromatographic signals and discrete fragment peak sets are tokenized and input into the wave encoder and particle encoder respectively to obtain wave and particle characterizations. Cross-modal interaction is achieved through a wave-particle fusion module to form a unified latent state or an object-level unified latent state set. A two-stage training process of self-supervised pre-training and task fine-tuning is employed. During the inference stage, conditional quantitative and qualitative operators are applied to the unified latent state or object-level unified latent state set, outputting quantitative results and identification scores / probabilities in parallel. This method is suitable for end-to-end qualitative and quantitative analysis in DDA / DIA scenarios.

The application provides an embroidery machine upper and lower shaft parallel zero finding control method and system in the technical field of embroidery machine control, and the method comprises the following steps: step S1, calibrating the upper zero position of the upper shaft motor and storing it; step S2, when the embroidery machine is started or receives a zero finding instruction, triggering a parallel zero finding process; step S3, controlling the jump motor to perform an action, and retracting the needle of the upper head to a jump-off position; step S4, synchronously performing the upper and lower shaft zero finding steps; the upper shaft zero finding step comprises the following steps: reading the upper zero position, writing the upper zero position back to the upper servo driver, and controlling the upper shaft motor to run to the upper zero position; the lower shaft zero finding step comprises the following steps: controlling the lower shaft motor to run to the lower zero position through the lower servo driver; step S5, obtaining the reading of the lower shaft encoder when the lower shaft is zero finding, and judging whether the actual position of the lower shaft reaches the standard or not; if not, position compensation is performed. The application has the advantages that the zero finding efficiency and system stability are greatly improved, and the hardware cost is reduced.

The invention discloses a device and method for adjusting pile position coordinates. The device comprises an outer frame which is a floatable or liftable steel structure frame and is used for providing a preliminary positioning and working platform; the inner formwork is arranged in the outer frame and used for bearing a plurality of positioning piles; the transverse adjusting mechanism is arranged between the outer frame and the inner formwork and used for driving the inner formwork and the positioning piles on the inner formwork to move in the transverse direction. The longitudinal adjusting mechanism is mounted between the transverse adjusting mechanism and the inner mold frame and used for driving the inner mold frame and the positioning piles on the inner mold frame to move in the longitudinal direction; and through cooperative action of the transverse adjusting mechanism and the longitudinal adjusting mechanism, accurate adjustment of the overall position of the multiple positioning piles is achieved. Through the cooperative working mechanism of coarse positioning of the outer frame and fine adjustment of the inner formwork, synchronous or sequential accurate positioning of the multiple pile bodies is achieved, the pile group construction efficiency is greatly improved, and the construction cost is reduced.

The present application relates to the field of data communication, and discloses a remote data communication platform for neurodegenerative disease exosome treatment, which is used for guaranteeing reliable transmission of key data in neurodegenerative disease remote monitoring. The exosome concentration data collected in the patient's body in real time is converted into dynamic parameters of a chaotic system through a nonlinear mapping rule, a parameterized chaotic system is constructed, a chaotic state signal carrying concentration information is generated, a composite transmission signal is formed by superposition, and the composite transmission signal is sent to a remote receiving end through a wireless channel. The state synchronization between the sending end and the copy chaotic system is achieved through a synchronization algorithm containing an error feedback term, the dynamic parameter estimation value is extracted, the exosome concentration data is restored through inverse nonlinear mapping operation, and the output data is output to a medical monitoring terminal after sliding window cumulative averaging. The present application effectively solves the problems of insufficient safety, weak anti-fading ability, low parameter estimation accuracy and large output data fluctuation of traditional medical monitoring in a wireless channel.