25results about How to "Guaranteed analytical accuracy" patented technology

The invention discloses an intelligent water quality monitoring system and method based on a turbidity sensor, and relates to the technical field of water quality monitoring. Data acquisition nodes are arranged in a water area to be monitored, data are acquired by using the turbidity sensor and an intelligent water quality monitoring equipment group, an environment data set S is constructed, and preprocessing is performed; acquiring a turbidity change coefficient # imgabs0 # according to a turbidity data set in the preprocessed environment data set S, performing primary evaluation, marking abnormal data acquisition nodes, acquiring a particulate matter dynamic index KL and a pollution index WR according to a particulate matter data set and an organic pollutant data set in the environment data set S, and performing secondary evaluation according to the turbidity change coefficient # imgabs1 # and the turbidity change coefficient # imgabs0 # in combination with the particulate matter dynamic index KL and the pollution index WR. Acquiring a comprehensive water quality score Q, performing secondary evaluation, and constructing a water quality prediction model to predict the water quality change and regulate and control the water quality for the data acquisition nodes which are normally evaluated for the second time; the intelligent level of water quality monitoring is improved, the accuracy of water quality monitoring is enhanced, and the safety of water quality is ensured.

The invention discloses a mobile platform coal quality remote detection system and method, and solves the problem that the analysis precision and analysis efficiency of a model are affected by a spectral data acquisition error rate due to the fact that parameters of pulverized coal cannot be preprocessed when a model between a spectral line and a calorific value is established and a coefficient matrix and an error term of the model are obtained in an existing method. The method comprises the following steps: detecting stored coal in real time by adopting mobile coal quality detection equipment, pre-constructing a data processing model based on the combination of adaptive interactive multiple models and deep learning, preprocessing spectral sample data by the data processing model, and establishing a coal quality index quantitative model based on the combination of a convolutional neural network and a lightweight detection structure; according to the method, noise reduction, normalization and feature extraction preprocessing are performed on the real-time spectral data by pre-constructing the data processing model based on the combination of the adaptive interactive multiple models and deep learning, so that the spectral data acquisition error rate is reduced, and the analysis precision and analysis efficiency of the coal quality index quantitative model are ensured.

According to the technical scheme, the multi-tube blood test specimen mixer comprises a main body and a touch control box, a movable ball is installed at the bottom in the main body, an overturning base is installed at the top of the movable ball through a connecting rod, a supporting base is installed at the position, close to the outer surface, of the top of the overturning base, and a rotating disc is installed at the top of the supporting base through a steel ball A; rotating shafts are installed at the four corners in the rotating disc, a uniform mixing seat is installed at the tops of the rotating shafts, a supporting frame is installed in the middle of the top in the main body, and a high-speed camera is installed on the outer surface of the supporting frame. The multi-tube blood test sample mixer solves the problems that after an existing blood gas analysis sample is uniformly mixed, a corresponding blood gas sample needs to be manually searched in multiple tubes through naked eyes and taken out, the operation is tedious, and the use convenience is not high, the blood gas sample taking-out efficiency is improved, and the working efficiency is improved. Meanwhile, the detection efficiency of the blood-gas mixer is improved.

The invention is suitable for the field of microscopic image processing, and provides a cell analysis method, device and equipment and a storage medium, and the method comprises the steps: obtaining a target data type selected by a user; reading target video data based on a target file directory associated with the target data type; performing foreground and background image separation processing on each image frame in the target video data, and when it is determined that a cell image is separated, obtaining image features of the cell image; cell change information in the target video data is determined based on the image features, and the cell change information comprises motion change information or gray change information; and performing data visualization display based on the cell change information. The scheme can improve the cell analysis efficiency and ensure the analysis precision.

The invention discloses an event data analysis method and device, a storage medium and electronic equipment. The method comprises the steps that event sequence data generated by a target application program are obtained, a first event type is different from a second event type, a group of causal coefficients is determined according to the event sequence data, and the group of causal coefficients comprises a first event type and a second event type which are different from each other under the condition that an event corresponding to the first event type occurs; the target causal coefficient of the occurrence probability of the event corresponding to the second event type is determined according to the central position of the influence of the first event type on the second event type in time and the diffusion amplitude, and the target causal coefficient responds to the determined first event; and displaying a target event associated with the first event and the target influence coefficient according to the target causal coefficient. The technical problem that the analysis result is not accurate enough due to the fact that the analysis result of the event data is not fine in the prior art is solved.

The invention relates to seawater analysis, and particularly provides a desalting and purifying device and system applied to seawater tritium on-line monitoring, the device comprises a first-stage unit, the first-stage unit comprises a first membrane assembly and a filter which are connected in sequence; the first pressure pump is used for increasing the pressure of seawater entering the first membrane assembly, and a waste discharge port of the first membrane assembly is communicated with a waste liquid pipeline. The method has the advantages of automation, high analysis precision and the like.

The present application relates to a kind of ground potential discrete solving method for stray current space propagation analysis, including zoning profile according to the stratum space of study area, and in the region where current injection is strong, finer spatial division scale is used, in the part far from the region of interest, coarser division scale is used, to give consideration to calculation accuracy and solving efficiency;Stray current source is equivalently distributed to adjacent discrete unit node, and overall potential solving equation is established based on the conductive relationship between nodes;By numerically solving global discrete equation, the potential distribution and risk influence result of ground surface and the periphery of target facility are obtained.Compared with prior art, the present application can effectively reduce the calculation amount of large-scale space solving under the premise of maintaining high calculation accuracy, and is suitable for scenarios such as rail transit stray current intrusion, grounding grid potential analysis and transformer dc magnetic bias evaluation.

This invention relates to the field of aero-engine technology and discloses a Simpack-based method for analyzing the misalignment vibration of aero-engine blades with bosses. While ensuring analytical accuracy, it improves computational efficiency by simplifying the modeling process and establishes a clear mapping relationship between parameters and responses, thus providing reliable technical support for vibration control of aero-engine bladed disk systems. The method includes the following steps: establishing finite element modal analysis models of all boss blades and disks, and performing free modal calculations; using Simpack modal condensation to establish blade-disk reduced flexible body models of all boss blades and disks, and then assembling them to form a complete blade-disk coupled dynamic analysis model of the aero-engine; subsequently, simulating the frictional vibration reduction effect between boss blades by establishing pre-compressed spring damping units or custom nonlinear spring units between the bosses of adjacent boss blades; and simulating the interference fit relationship between bosses by using the spring pre-compression amount.

The embodiment of the invention relates to a data processing method, electronic equipment, a storage medium and photoetching equipment. The data processing method comprises the steps that for each block of a target layout, defect values of defect points in each block are sequenced according to defect types, so that sequenced defect data of each block are obtained, and the defect values indicate the severity of defects; grouping the sorted defect data of each block based on a pattern corresponding to the defect points in each block to obtain a plurality of grouped defect data of each block; filtering the plurality of grouped defect data of each block to obtain filtered defect data of each block; and obtaining full layout defect data of the target layout based on the filtered defect data. According to the embodiment of the invention, on the premise of ensuring the analysis precision, the memory and the calculation time required by full-chip defect grouping can be greatly reduced.

The application relates to the technical field of electrical engineering, and discloses an inverter multi-machine dynamic power angle stability analysis method, system, equipment and medium, which comprises the following steps: small signal modeling is performed on grid-following inverters and grid-forming inverters to obtain a frequency domain impedance model of a grid-following and grid-forming hybrid converter station; a power expression under a dynamic phasor method is constructed according to the frequency domain impedance model; a small signal coefficient equation under the dynamic phasor method is calculated based on a power transmission equation under the dynamic phasor method; the parameter frequency characteristics corresponding to the grid-following inverters and the grid-forming inverters are analyzed according to the small signal coefficient equation; and the parameter frequency characteristics are used to determine the inverter multi-machine dynamic power angle stability analysis result of the grid-following inverters and the grid-forming inverters. The application can realize accurate analysis of low-frequency power angle oscillation characteristics and stability of the hybrid inverter station.

The application discloses a kind of based on edge cloud cooperation's inspection robot visual analysis task dynamic scheduling method and system, belong to inspection robot visual analysis and edge computing technical field.The method includes: real-time acquisition network state parameter and computing power resource information;Task feature vector is constructed to the visual analysis task and is extracted feature;Based on multi-objective optimization scheduling model, delay, energy consumption and accuracy index are determined optimal execution position by comprehensive evaluation;Task is distributed to corresponding node execution;Based on Q-learning reinforcement learning, scheduling weight is dynamically updated.The application can realize the optimal scheduling of visual analysis task under the dynamic change of network and computing power environment, compared with the scheduling efficiency of existing static allocation strategy is improved by more than 40%, and the comprehensive performance is significantly better than local execution, full cloud execution and static allocation scheme.

The application provides an arch dam simulation analysis method and system based on terrain and geological reconstruction, which comprises the following steps: based on dam body parameterization control information, generating dam body flood discharge orifice, full-elevation radial twist surface transverse joint and foundation surface transition thin layer, and constructing an arch dam body structure model; based on terrain and geological data, reconstructing dam shoulder slope, and establishing a closed excavation simulation terrain model; based on weathering layer and structure surface information, constructing a geological partition model through topological cutting, boundary closing and redundant body elimination; integrating the arch dam body structure model and the geological partition model; classifying, extracting and segmenting dam body structure control lines, excavation boundary control lines and structure surface control lines, and generating an overall three-dimensional finite element grid; according to the partition result, corresponding material parameters are given, boundary conditions and external loads are applied for numerical solution, so that fine simulation analysis and result output of an arch dam-foundation system under real terrain and geological conditions are realized.

The invention discloses a threat assessment method and system for a digital substation electric power industrial control system, and relates to the technical field of electric power industrial control system network security. The method comprises the following steps: obtaining threat characteristic parameters according to the threat type of the digital substation electric power industrial control system, and establishing a threat characteristic model according to the threat characteristic parameters; summarizing all the threat feature models and carrying out matrix processing on the summarized models to obtain a total threat feature model; calculating an overall threat score of all threat feature parameters according to the threat feature general model; and setting an overall threat level, and performing overall threat level evaluation on the digital substation electric power industrial control system according to the overall threat score. According to the method, the problem of deficiencies in the aspects of threat feature data processing and threat risk assessment in the prior art can be solved, so that more accurate threat identification and more effective risk management are realized.

The application discloses a kind of based on multi-modal fusion's emission compliance self-checking and self-correcting system, comprising: multi-modal data acquisition module, for collecting the multi-source data of enterprise emission facilities and pre-processing;Multi-modal feature coding module, for respectively feature coding to multi-modal data set;Double-channel feature construction module, for constructing current channel feature and contrast channel feature;Contrast space-time cross attention feature extraction module, for by double-channel contrast space-time cross attention network, output comprehensive space-time difference feature representation;Regulation knowledge graph matching module, for generating compliance determination result and regulation clause information;Self-correcting task generation module, for generating self-correcting task;Task execution and closed-loop management module, for recording self-correcting task execution process.The application adopts double-channel contrast space-time cross attention network, realizes emission behavior intelligent identification and automatic compliance self-checking and self-correcting.

The invention discloses pretreatment equipment for solid food detection, and belongs to the technical field of food detection.The pretreatment equipment comprises a material grinding miller, a grinding wall is arranged on the inner side wall of the material grinding miller, a grinding cylinder is further arranged in the material grinding miller, and a grinding loop is arranged between the grinding wall and the outer wall of the grinding cylinder; according to the invention, the auxiliary blanking and cooling mechanism is arranged in the material grinding machine, and the impact balls in the mechanism provide uninterrupted impact and vibration functions in the material grinding process, so that the fluidity of food materials in the grinding loop is promoted, the accumulation and blockage phenomena of the food materials in the grinding process are reduced, and the quality of the food materials is improved. Cooling liquid in the first assembly cavity and the second assembly cavity can be driven to be fully stirred and mixed while vibration is conducted, the cooling liquid with the lower relative temperature is transferred to the position close to one side of the grinding annular channel, and therefore it is guaranteed that the cooling liquid can rapidly absorb and disperse heat generated in the grinding process; therefore, thermal decomposition or denaturation of part of components in the food at high temperature can be prevented.

The present application discloses a strength analysis method, equipment, medium and product for aviation composite laminated plate and shell structures, and relates to the field of data processing. The method comprises: constructing an overall structural plate and shell model based on the structural parameters of aviation composite laminated plate and shell; applying service loads to the overall structural plate and shell model, and performing finite element simulation analysis to obtain a generalized stress state; obtaining a proxy model; inputting the generalized stress state into the proxy model to obtain a strength margin; and performing structural strength verification based on the strength margin. The present application can directly verify the strength of composite shell structures, greatly reducing the calculation cost.

The invention discloses a microwave drying sample preparation method of a copper-nickel sulfide ore pulp sample, which comprises the following steps: S1, microwave dehydration: putting a wet ore pulp sample into a microwave drying unit, and drying until the water content of the sample is reduced to below 1%; s2, intermediate crushing and division: putting the dried sample into an intelligent double-roller crushing and division machine, crushing until the particle size is less than 2mm, and performing division, so that the recovery rate is greater than 99%; s3, fine crushing and sweeping; and S4, analysis and detection: carrying out elemental chemical analysis on the prepared sample. According to the invention, the dehydration time is greatly shortened, meanwhile, the sample deterioration is avoided, the dried sample is treated by the intelligent double-roller crushing division machine and the intelligent crusher with a self-cleaning function, the efficient and automatic sample preparation is realized, and finally, the sample meeting the analysis requirement is obtained; the technical problems that a traditional method is low in efficiency, large in labor intensity and prone to overheating in concentrate drying and the like are solved, and rapid and accurate detection guarantee is provided for mineral separation production.

The present application belongs to the field of sewage treatment, and provides a chemical industry park groundwater pollution tracing method based on geophysical exploration cooperation, which uses geophysical methods to detect target areas in the chemical industry park, and obtains underground electrical parameter data; based on the spatial form characteristics and physical parameter gradient change law of the resistivity anomaly area, a layout scheme of groundwater chemical sampling target points is determined; groundwater samples are collected according to the layout scheme, and chemical detection analysis is performed; the pollutant data obtained by the chemical detection analysis is subjected to spatial position corresponding and correlation analysis with the resistivity three-dimensional model; the pollutant concentration spatial distribution map, the park enterprise layout and the regional hydrogeological conditions are comprehensively considered to identify the pollutant migration path, lock the pollution source and output the pollution tracing result. The method improves the accuracy of pollution tracing.

The invention relates to a cut tobacco detection system and a cut tobacco detection method.The cut tobacco detection system comprises a screening assembly, a bearing table, a flattening assembly, a transfer assembly, a detection assembly and a controller, the screening assembly comprises a vibrating screen plate, and the screen plate is provided with a first screening area, a first end and a second end, tobacco shreds on the screen plate slide from the first end to the second end under the vibration effect, and the bearing table corresponds to the first material screening area and is provided with a bearing part used for bearing object tobacco shreds screened and falling from the first material screening area. The transfer assembly is provided with a sampling transfer end with the position and angle adjustable, and the sampling transfer end is used for transferring part of tobacco shreds on the feeding channel to the sieve plate and transferring the flattening assembly to conduct flattening action. The detection assembly has a detection end; the controller is in communication connection with the transfer assembly, the detection assembly and the screening assembly. The problems that a tobacco shred detection system is insufficient in detection sample representativeness, difficult in image processing and limited in measurement precision and accuracy can be solved.

The present invention discloses a smart city comprehensive security information management platform, which relates to the field of information technology and aims to solve the complexity of multimodal data processing and the challenge of energy management in urban security. The platform integrates multimodal data fusion technology, combines deep learning and attention mechanism, extracts emotional features from video, audio and text data, and realizes accurate emotional classification and behavior prediction. Through the emotional analysis module, the platform can generate security warning information to improve the foresight and responsiveness of public safety. At the same time, the platform optimizes task allocation and computing resources through load balancing to reduce energy consumption. The edge computing module dynamically adjusts computing resources according to the current load and environmental conditions to ensure the efficient operation of the platform. The environmental perception module monitors temperature and humidity data in real time to further optimize the allocation of computing resources. The present invention improves the level of public safety management and reduces environmental impact through these technologies.

The invention discloses an intelligent full-automatic debugging system and method for an artificial cochlea. A user side is used for receiving and executing a debugging instruction; response information fed back by the user is sent to the full-intelligent debugging terminal; the user side is also used for collecting audio and video information of a user and sending the audio and video information to the full-intelligent debugging side; the full-intelligent debugging terminal comprises an intelligent debugging module and a user analysis module; the intelligent debugging module sends the debugging instruction to the user side and receives response information and audio and video information of the user side; the user analysis module receives and analyzes the response information and the audio and video information, and sends an analysis result to the intelligent debugging module; the intelligent debugging module adjusts a next debugging instruction according to the response information, the audio and video information and the analysis result; according to the system and the method, through joint operation of the face analysis module, the voice analysis module and the character analysis module, the original debugging work which can be carried out by a debugging worker is replaced, and the whole debugging process can be completed without manual participation.

The application relates to the technical field of noise and vibration control of an automobile electric driving system, in particular to a power assembly NVH (Noise, Vibration and Harshness) performance analysis method and device, a vehicle and a storage medium, wherein the method comprises the following steps: obtaining a target demand torque and harmonic parameters of a motor, and simulating a current value of the motor according to the target demand torque and the harmonic parameters; determining electromagnetic force excitation of the motor according to the current value and the target demand torque; obtaining system parameters, a three-dimensional mathematical model and motor structure parameters of a power assembly, and establishing a dynamics model of the power assembly according to the system parameters, the three-dimensional mathematical model and the motor structure parameters; performing coupling calculation of electromagnetic force and mechanical structure according to the electromagnetic force excitation and the dynamics model; analyzing node vibration response of the power assembly according to a result; and generating an NVH performance analysis result of the power assembly according to the node vibration response. Therefore, the problems of long cycle, lack of refined calibration basis, low scheme evaluation efficiency and weak risk prediction ability in the harmonic injection strategy scheme verification technology are solved.

The present invention discloses a method and device for controlling missed burning, wherein the method comprises: obtaining original burning data stored in the original burning space; obtaining a marked memory space according to the original burning space; wherein the structure of the original burning space corresponds to the structure of the marked memory space; performing a split operation on the original burning data according to a preset burning specification to obtain a data segment; adjusting the data of a target position in the marked memory space according to the original position of the data segment in the original burning space to obtain a marked result; the original position corresponds to the target position; obtaining a burning analysis result according to the marked result; the burning analysis result represents the result of whether the burning can be performed correctly according to the burning specification. The present invention improves the efficiency and accuracy of missed burning control by analyzing the original burning data before burning; avoids making a qualified product judgment after burning, and does not require targeted customized software, has good compatibility, and reduces production costs.

The invention provides an operation data storage method and system, electronic equipment and a storage medium, and relates to the technical field of battery management.The method comprises the steps that when a battery pack is in a power-on state, whether the battery pack is powered on for the first time or not is judged, and the data sampling rate and the data prediction period are set according to the judgment result; continuously performing data monitoring on the battery pack according to the data sampling rate to obtain a battery data group of the battery pack and storing the battery data group to a conventional file; and executing a judgment step: when the duration of the battery pack monitored according to the current data sampling rate reaches a data prediction period, performing prediction according to the change condition of the battery data group in the data prediction period, and then judging the running state of the battery pack, and continuously performing data monitoring on the battery pack according to a set sampling rate and a data prediction period, and storing an obtained battery data set. By implementing dynamic sampling rate and prediction period adjustment, more important data are processed in a centralized manner, so that the data processing efficiency and effect are improved.

The invention discloses a carrier rocket sub-level wreckage landing area automatic off-line analysis method and a carrier rocket sub-level wreckage landing area automatic off-line analysis system. The carrier rocket sub-level wreckage landing area automatic off-line analysis method comprises the following steps of performing data reading; determining an administrative region of the sub-level wreckage drop point according to the read data; after the administrative region of the sub-level wreckage drop point is determined, the administrative region of the sub-level wreckage drop point is determined; and according to the determined administrative region of the sub-level wreckage falling region, determining an administrative unit covered by the sub-level wreckage falling region. According to the method, automatic output of the administrative region where the sub-level wreckage drop point is located, the administrative region where the drop region is located and the administrative unit covered by the drop region is achieved, manual analysis of trajectory designers is not needed, and the manual operation intensity is greatly reduced.