105results about How to "For subsequent analysis" patented technology

The invention discloses an unmanned aerial vehicle path planning method and system based on digital twinning. The method comprises the following steps: constructing a three-dimensional environment model based on first target environment data in first target multi-source environment perception data; constructing a digital twin based on the geometric model, the physical model, the control model, the target physical data hybrid dynamic model and the three-dimensional environment model; inputting the second target multi-source environment sensing data into the digital twin, and dynamically simulating the flight behavior of the physical unmanned aerial vehicle based on the second target multi-source environment sensing data to obtain simulated flight environment state data; and based on the simulated flight environment state data, performing path planning on the physical unmanned aerial vehicle in combination with a prediction control algorithm and a path planning algorithm to obtain a target flight path, transmitting the target flight path to the physical unmanned aerial vehicle, and controlling the flight of the physical unmanned aerial vehicle. The method can dynamically simulate the real-time change of the physical unmanned aerial vehicle, plan the optimal flight path and effectively avoid obstacles, and can be widely applied to the technical field of unmanned aerial vehicle path control.

The invention relates to the technical field of sickbed control, in particular to a control system of an intelligent bed and a control method thereof. The method comprises the following steps: acquiring structural data of the intelligent bed; carrying out human body fitting area gravity sensor deployment on the intelligent bed structure data to obtain sickbed sensor deployment data; performing gravity sensor data acquisition on the sickbed sensor deployment data to obtain an initial gravity sensor data set; carrying out data matrix processing on the gravity sensor data set to generate a multi-dimensional pressure sensing matrix; acquiring user pain part data and bed board motor initial position data; and performing pressure distribution mode recognition on the multi-dimensional pressure sensing matrix to obtain a uniform distribution mode and a concentrated distribution mode. According to the invention, through the personalized support regulation, global attitude optimization and real-time feedback mechanism of the intelligent bed, the control accuracy and intelligence of the intelligent bed are improved.

The invention relates to the technical field of fire safety, in particular to an electric bicycle shed automatic fire extinguishing device and system.The method comprises the following steps that S1, data of a plurality of fire factors are collected; s2, performing fusion analysis on various fire factor data, and outputting a fire risk judgment result; s3, dynamic fire risk assessment is carried out, and a fire early warning threshold value is adjusted in real time; s4, identifying a section where the fire occurs; s5, on the basis of the fire sections identified in the S4, automatically controlling fire extinguishing devices in the corresponding areas to be started; s6, the fire area is cooled through a water spraying device; and S7, after the fire is extinguished, storing all data to a remote cloud server. According to the electric bicycle shed, through multi-dimensional fire monitoring, intelligent algorithm dynamic evaluation and automatic control technologies, accurate fire early warning, effective fire extinguishing, continuous cooling and safety data storage are achieved, and the fire prevention and control efficiency and safety of the electric bicycle shed are remarkably improved.

The invention discloses a traceability tracking method and system for cosmetic electronic two-dimensional codes, and relates to the technical field of cosmetic traceability tracking. According to the traceability tracking method of the cosmetic electronic two-dimensional code, after a production link is finished, data such as production original ingredient quality, component stability and production environment are stored in the two-dimensional code, scanning traceability analysis is carried out in the next link, production quality related indexes are calculated, whether the product is qualified or not is comprehensively judged, qualified products continue to be produced, and unqualified products are screened and processed. According to the invention, after each production link is finished, the production data including the original ingredient quality, the component stability, the production environment and other information are dynamically stored, a complete link recording chain is formed, the data are updated in real time through the electronic two-dimensional code, the synchronization of the traceability information and the actual production is ensured, the real-time performance and the traceability efficiency of the data are improved, and the production efficiency is improved. According to the link-by-link tracking mechanism, the transparency of the cosmetic production process is remarkably improved, so that the specific production link can be quickly positioned when the quality problem occurs.

The invention discloses a motor control method and system for underwater decontamination operation of an intelligent robot, and particularly relates to the field of underwater operation, comprising sensor deployment, data preprocessing, model analysis and motor control. According to the method, the key parameters of the underwater decontamination operation of the intelligent robot are comprehensively collected, fine data preprocessing and model analysis are carried out, accurate evaluation of the motor state is achieved, meanwhile, based on the evaluation result, the motor control instruction can be flexibly adjusted in real time, motor faults are effectively avoided, and the motor control efficiency is improved. In addition, the underwater sewage disposal system further provides detailed data recording and analyzing functions, powerful support is provided for subsequent system maintenance and optimization, and the efficiency and reliability of the underwater sewage disposal operation of the intelligent robot are remarkably improved.

The invention provides an inspection image searching method and device of a robot, electronic equipment and a storage medium, and relates to the technical field of robot inspection. The inspection image searching method of the robot comprises the following steps: acquiring a preliminary inspection image according to a preset inspection task; wherein the inspection task comprises an initial shooting parameter of the holder shooting equipment and an inspection picture configuration requirement; based on a target detection algorithm, determining pixel coordinate information of an inspection target in the preliminary inspection image; determining a target centering offset degree and a target proportion of the inspection target according to the pixel coordinate information; and determining a target shooting parameter based on the routing inspection picture configuration requirement, the initial shooting parameter, the target centering offset degree and the target proportion, so as to obtain a target routing inspection image corresponding to the routing inspection picture configuration requirement shot according to the target shooting parameter. According to the invention, the target shooting parameter is set through the preliminary inspection image, and then the target inspection image is determined, so that the calibration process before inspection is simplified, and the image quality of the target inspection image is improved.

The invention relates to the technical field of man-machine interaction data, in particular to man-machine interaction equipment and a control method thereof. The method comprises the following steps: acquiring equipment screen operation data, performing time window segmentation, generating a discrete touch event sequence and a dynamic touch feature sequence, clustering and processing the features by utilizing interaction features, forming user operation behavior grouped data, and combining equipment historical interaction data to form a user operation behavior group. Frequent item set mining is carried out to identify a high-frequency operation mode, a user operation preference model is constructed, user operation habits are identified, redundant actions are eliminated, main interaction action data are extracted, interaction intention prediction is carried out on main interaction actions based on historical data of equipment, and dynamic response is carried out on the man-machine interaction equipment according to a prediction result. And effective control is realized. According to the invention, a more personalized and smoother man-machine interaction equipment control method is realized.

The invention discloses an equipment instrument quality interpretation device based on AI vision, and relates to the field of computer vision and artificial intelligence. Comprising an optical acquisition system, an image processing unit, an intelligent detection unit and a data management unit, the optical acquisition system acquires image or video information of equipment and instruments through a camera or an image sensor, is matched with a corresponding light source to enable the acquired image to have no shadow, and is connected with the image processing unit through a network; the image processing unit preprocesses the acquired image; the intelligent detection unit extracts features related to target quality from the preprocessed image by using a deep learning algorithm; and the data management unit stores the data and sends an interpretation result to a user through the feedback module according to the quality interpretation result, the user performs corresponding operation according to the interpretation result, and real-time quality detection is realized by utilizing efficient image processing and AI interpretation algorithms, so that the detection efficiency is remarkably improved, and the requirements of a high-rhythm production line are met.

The invention relates to a microcomputer system performance test and evaluation method, device and equipment and a medium, and the microcomputer system performance test and evaluation method comprises the steps: if it is detected that a key event of a microcomputer system has occurred, executing a corresponding test cycle operation according to the key event; and converting and generating uniformly formatted real-time log data based on each test result in the test cycle operation, clustering and matching the real-time log data to a predefined abnormal state, and matching corresponding adjustment parameters based on the abnormal state to obtain the power state of the microcomputer system. Executing a first dynamic adjustment operation of the power state based on the performance adjustment parameter; according to the method, standardized real-time log data is generated from each test result, and the log data can be intelligently clustered and matched to a predefined abnormal state, so that the abnormity can be quickly identified, the adjustment parameters are generated, the power state and the test process of the system are dynamically optimized, and the flexibility of abnormity response and power consumption adjustment is improved.

The invention relates to the technical field of medical care informatics, and discloses a medical questionnaire open question answer coding method, system and device and a medium, and the method comprises the steps: converting an answer document of a medical questionnaire open question into an answer document vector through a document embedding model; an aggregation hierarchical clustering algorithm is utilized to quickly and accurately identify answer document clusters with hierarchical relationships and different answer document themes in answer documents, so that complex information is structured, subsequent analysis is facilitated, and a richer view angle is provided for data analysis; in combination with a graph-based sorting algorithm for texts and an abstract text abstract model, encoding answer documents contained in answer document clusters of different answer document topics into answer document abstracts, and forming topic-abstract pairs with hierarchical relationships by the answer document topics and the answer document abstracts of the answer document clusters; manual intervention is reduced, human errors are avoided, the consistency and reliability of medical data processing are improved, and the medical data processing time is shortened.

The invention discloses a shaft straightening method based on empirical value learning, which adopts a computer machine learning algorithm to optimize a straightening strategy, full-automatic straightening equipment comprises a casting horizontal measuring table and a gantry pressing device, one end of the equipment is provided with a pinch roller rotating mechanism, and the other end of the equipment is provided with a driven pinch roller. Firstly, a to-be-straightened shaft is placed on a V-shaped lifting sliding table of a casting platform, a single-side pressing wheel mechanism drives a rotating shaft to operate in a servo mode, meanwhile, the radial run-out value of the shaft at each distance is measured, the shaft bending degree is determined, the shaft adjusting sequence is generally from the middle of the shaft, the shaft is adjusted rightwards firstly and then adjusted leftwards from the middle, and after the requirement is basically met, the two ends of the shaft are adjusted; rough adjustment and straightening are conducted firstly, fine adjustment and straightening are conducted finally, and adjustment is conducted from one end of the shaft to the other end of the shaft. Through machine learning, the planning efficiency of the straightening sequence can be improved, and the overall performance of the straightening process can be improved. Through continuous learning and adaptation, the machine learning model can bring significant improvement and optimization to the straightening strategy planning stage.

The invention relates to the field of biological detection, in particular to a positive sample pretreatment kit and application thereof. The method comprises the following steps: providing a simple survival environment for bacteria by utilizing incubation liquid, and then utilizing the interaction of opposite electric properties between chemical magnetic beads and the bacteria, that is, when the bacteria in a positive sample are negatively charged, the chemical magnetic beads are positive magnetic beads; or when the bacteria in the positive sample are positively charged and the chemical magnetic beads are negative electromagnetic beads, the bacteria-magnetic bead compound is obtained, the operation is simple, the cost is low, the enrichment efficiency is high, the impurity interference resistance is high, the activity state of the enriched bacteria is not changed, the method can be used for subsequent mass spectrum identification and metabolic activity analysis, the application range is wide, and the method is suitable for popularization and application. Various in-vitro samples can be universally enriched, and the method has great significance on the development of the IVD field.

The invention discloses an order information customs declaration method and system oriented to cross-border trade, and relates to the technical field of customs declaration. During operation of the system, order information is collected in an e-commerce platform logistics company and a payment system, related data of the quality, efficiency and compliance of an order are acquired, and cleaning, verification and formatting are performed; after calculation, obtaining a cross-border declaration index Kjsb, checking whether a commodity code and a tax number meet customs declaration requirements or not, automatically complementing missing information, automatically matching the tax number with the commodity code, converting the preprocessed and verified order data into a data format meeting the declaration requirements according to customs declaration specifications, and sending the data to a server; and submitting the generated customs declaration data to a customs system through an API or an EDI interface, obtaining feedback, comparing a cross-border declaration index Kjsb with a preset threshold M, obtaining an abnormality assessment scheme, processing an abnormal condition, and notifying related personnel to intervene or automatically declarate again.

The invention discloses a system for realizing liquid level calibration of a low-temperature liquid nitrogen biological container through pressure difference. The system comprises a liquid nitrogen container, a nitrogen filling device, an initialization module, a pressure difference measurement module, a liquid level calculation module, a processing module, a communication interface and a display terminal, after the system is initialized, nitrogen with a fixed volume is filled into the liquid nitrogen container through the nitrogen filling device, and the air pressure difference after inflation is measured and recorded; after each inflation, calculating the difference value between the volume of the liquid nitrogen container and the air pressure difference, and organizing into a pressure difference change data set; based on the data set, the liquid level calculation module calculates the relation between the actual volume of the liquid nitrogen container and the liquid level height; the processing module receives the liquid level height information and performs abnormity verification; the communication interface and the display terminal realize visual display of liquid level height information including a real-time curve, an information set and an abnormal alarm; according to the system, the liquid level change in the liquid nitrogen container is indirectly deduced by controlling the volume of filled nitrogen and monitoring the air pressure difference change, and non-contact liquid level calibration is achieved.

The invention relates to the technical field of water replenishing and cleaning, and discloses a waste water treatment energy consumption management system and method based on data analysis. Energy consumption data and equipment operation data in the waste water treatment process are collected in real time through a data collection module, and then a communication protocol suitable for an industrial environment is selected through a data transmission module; according to the method, the reliability and the real-time performance of data transmission are ensured, the transmitted data are encrypted, the data security is ensured, data leakage and tampering are prevented, real-time synchronization of the data is realized, and the data processing and analyzing module can obtain the latest energy consumption data, and then the latest energy consumption data are transmitted to the data processing and analyzing module through the data processing and analyzing module. According to the method, data of different sources and different formats are integrated into a unified data format, subsequent analysis is facilitated, then the processed data are analyzed, and based on real-time energy consumption data and an equipment operation state, a wastewater treatment process and equipment operation parameters are dynamically adjusted, so that optimal management of energy consumption is realized.

The invention provides a multi-parameter intelligent detection device for an urban underground drainage pipeline, and the device comprises an intelligent detection robot which comprises a trolley chassis module, a power module, an air-ground lifting module, a top road rolling module, and a mainboard module. The multi-sensor measurement system comprises a Doppler flow measurement module, an air parameter acquisition module, a heavy metal parameter acquisition module and a binocular parallax camera module; the intelligent detection robot collects and transmits flow parameters, gas components, heavy metal components and pipeline health state data of an underground pipe network in real time through the multi-sensor measurement system. According to the invention, the monitoring efficiency and management level of the underground drainage pipe network can be significantly improved, reliable data support is provided for operation optimization, flood control and drainage and pollution control of an urban drainage system, and smart city construction and environmental protection are assisted.

The invention discloses a coal rock quality near-bit while-drilling evaluation device adaptive to a mining directional drilling machine, which comprises a PDC (Polycrystalline Diamond Compact) bit, a near-bit while-drilling measurement nipple, a screw drill, a while-drilling sound wave detector, a track measurement exploring tube and a central through cable drill rod which are connected in sequence, the near-bit measurement-while-drilling nipple comprises a cylinder, a first internal thread connecting part, a first external thread connecting part and a detection module arranged on the cylinder, and the detection module comprises a rotating speed sensor, a positive pressure strain gauge and a rotating torque strain gauge; the method comprises the following steps: 1, mounting the coal rock quality near-bit while-drilling evaluation device; 2, drilling and data acquisition of a to-be-detected coal seam; and 3, obtaining coal rock quality evaluation indexes of the coal seam to be detected. The method is reasonable in design, the near-bit while-drilling data are processed to obtain the corrected rock mass basic quality index, and the coal rock mass quality grade near-bit while-drilling quantitative judgment is performed according to the corrected rock mass basic quality index.

The invention discloses a lithium battery cover plate six-surface detection device and method, and relates to the technical field of lithium battery detection. The lithium battery cover plate six-face detection device comprises a detection device rack, a lifting elevator, a cleaning and dust removing mechanism, a film pasting mechanism, a product overturning module, a feeding transfer mechanical arm and a detection belt are arranged on the detection device rack, and the lifting elevator, the cleaning and dust removing mechanism, the film pasting mechanism, the product overturning module, the feeding transfer mechanical arm and the detection belt are arranged on the detection device rack. A camera detection unit is arranged on the detection belt, and a discharging mechanism is arranged on the detection device rack. According to the six-face detection device for the lithium battery cover plate, automatic treatment is achieved in the whole process from cleaning and dust removal, film pasting, overturning, detection to discharging, the phenomenon that the detection effect is affected by dirt is reduced, meanwhile, manual intervention is greatly reduced in the detection process, the production efficiency and consistency are improved, and the production cost is reduced. And comprehensive detection of six surfaces of the lithium battery cover plate can be realized through the multi-camera detection unit.

The invention provides a method for realizing automatic extraction of compound information in magnetic resonance mass spectrometry, which belongs to the field of quality control of natural product extracts and comprises the steps of original data information conversion, ion information self-adaptive integration, compound chromatogram construction and compound chromatogram outflow characteristic information extraction. Firstly, originally collected signals are converted into data in a NetCDF format, information of all components in each mass spectrum is reserved, and then high-precision mass spectra, retention time and ion abundance information of all ions in a sample are obtained; then, according to the information of the ion fengdu and the high-precision mass spectrum, through a DBSCAN clustering algorithm, obtaining potential valuable characteristic ion center points, and clustering all ions; constructing a chromatogram by the ions in each class according to a retention time sequence; a dynamic window is combined with a continuous smoothing strategy to extract a compound chromatographic peak in each chromatogram, information such as compound retention time, high-precision m / z and peak area is obtained, and finally extraction of compound information in a sample is achieved.

The invention relates to the technical field of voice recognition, and discloses a voice-control-based customized wake-up word configuration method and system for an in-vehicle machine screen, and the method comprises the steps: collecting the in-vehicle noise data of a target vehicle, and constructing a noise database; dividing noise records in the noise database into a plurality of noise levels; obtaining a user-defined wake-up word voice sample, and extracting a voiceprint feature vector of the user-defined wake-up word; measuring the similarity between the voiceprint feature vector of the custom wake-up word and each voiceprint feature vector in a voiceprint feature library, and matching to obtain a first voiceprint feature with the highest similarity; constructing a wake-up word detection sub-model corresponding to the noise level, collecting audio data in the vehicle in real time, performing wake-up word recognition according to the wake-up word detection sub-model and the first voiceprint feature, and triggering a vehicle machine screen to wake up; according to the invention, the accuracy and response speed of wake-up word recognition are improved.

The invention relates to the technical field of pregnancy complication risk assessment, in particular to a pregnancy complication risk assessment system for a high-risk pregnant woman, and the system can achieve the following steps through the mutual cooperation of a plurality of modules: obtaining the current dimension data of a to-be-detected pregnant woman under all preset dimensions in the current pregnancy examination process; screening out matched pregnant woman categories; screening out a matched easy-to-occur stage; screening out a preset dimension with the maximum complication susceptibility influence degree in the matched susceptibility stage; constructing a reference cluster and a contrast cluster; and determining a current pregnancy complication risk assessment factor corresponding to the to-be-detected pregnant woman according to the attribution degrees of the current dimension data under the distinguishing feature dimension to the reference clustering cluster and the comparison clustering cluster. According to the method, the current pregnancy complication risk assessment factor is quantified, so that a doctor can be assisted in performing pregnancy complication risk assessment on the high-risk pregnant woman, and the reasonability of performing pregnancy complication risk assessment on the high-risk pregnant woman is improved.

The invention belongs to the technical field of fire-fighting monitoring, and particularly relates to a fire-fighting monitoring and early warning system based on project fire analysis. The fire-fighting monitoring and early warning system comprises a data acquisition module, a data transmission module, a fire behavior analysis module, an early warning and alarm module, a user interface module, a data storage and management module, a remote monitoring and control module, a system integration and expansion module and a safety and authority management module. Through the advanced data acquisition, analysis and management functions, the accuracy and efficiency of fire detection and response are improved, the user interaction experience and the system compatibility are enhanced, powerful support is provided for fire safety management, the comprehensiveness, the safety and the flexibility are realized, and meanwhile, the safety of the system is improved. And the total operation cost and the safety risk are reduced.

The invention relates to the technical field of traffic flow management and control, and discloses a road congestion analysis management and control method, which comprises the following steps: S01, acquiring historical road congestion data through an expert platform to obtain a plurality of driving roads; s02, carding the plurality of driving roads at the same time to obtain a main road in each driving road and set data about a plurality of entrance node roads along the main road; and S03, generating a corresponding data acquisition chain according to the number of the set data, and continuously acquiring the road condition data of the current driving road based on the data acquisition chain. The method comprises the following steps: acquiring historical road congestion data, carding a main road and an entrance node road of a driving road, continuously acquiring road condition data at the current moment and the next moment, predicting future driving-in expected time of a vehicle entering the main road, and determining the traffic congestion of the vehicle on the basis of main road traffic flow reasonable capacity parameters, congestion occurrence time and elimination time. And generating a waiting duration prolonging mechanism of the traffic signal lamp.

The invention relates to the technical field of artificial intelligence technology and financial science and technology, and discloses a collection dispatching method and device based on a multi-person cooperation mode, equipment and a medium, and the method comprises the steps: obtaining an insurance policy recording, and converting the insurance policy recording into a recording text; utilizing a preset attention model to extract a high-level semantic feature vector of the recording text; constructing a feature vector according to the semantic feature, and performing matching calculation on the feature vector and a preset intention vector table to obtain an insurance policy intention; and obtaining a task saturation level of the communication personnel, generating a cooperative order distribution strategy according to the communication personnel saturation level and the insurance policy intention, and performing insurance policy distribution according to the cooperative order distribution strategy. And the insurance policy service processing efficiency and accuracy are effectively improved.

The invention discloses an electronic bidding purchase management system and method, and relates to the technical field of purchase management, and the system comprises a bidding manufacturer information acquisition module, a sample analysis module, a bidding cost performance analysis module, a historical cooperation analysis module, a bidding recommendation processing module and a local database. According to the method, the characteristic value of each target index of each product sample to which each bidding manufacturer belongs in electronic bidding is acquired, and the high-quality quality coefficient, the bidding amount evaluation coefficient and the historical cooperation high-quality coefficient of the product sample of each bidding manufacturer are calculated, so that the influence of the bidding amount on bidding is concerned; the product quality of each bidding manufacturer and the punctuality and satisfaction degree of historical cooperation are considered at the same time, so that each bidding manufacturer can be evaluated more accurately, the product quality of final bidding is improved, the efficiency of electronic bidding is improved through intelligent analysis, and a person in charge of the electronic bidding can make a decision conveniently.

The invention discloses an intelligent construction site management system, and relates to the technical field of intelligent construction sites, and the system comprises a data center which is used for collecting and storing big data and the data information of each subsystem, a supervision center which is used for carrying out the real-time supervision of the data information of each subsystem, and a user side which is used for remotely checking the data information collected and stored by the data center. The personnel management subsystem is used for collecting and managing identity information and attendance information of construction personnel, the equipment management subsystem is used for recognizing basic information and position information of construction site equipment, the safety monitoring subsystem is used for monitoring the current state of the construction personnel, and the video monitoring subsystem is used for collecting and recognizing image data of a construction site. Whether dangerous behaviors occur in the construction site or not is monitored in real time through the cameras, warning is conducted based on the danger degree, a user can conveniently and rapidly arrive at the behavior occurrence place, and when the danger degree is high, the user can conveniently and rapidly evacuate equipment and personnel, and losses are reduced.

The invention belongs to the technical field of power grid time synchronization management, and discloses a power grid time synchronization management method based on big data analysis. Comprising the steps of collecting comprehensive power grid information at a current moment, performing standardization processing on the comprehensive power grid information, extracting feature data according to the processed comprehensive power grid information, and obtaining a comprehensive feature set; performing data dimension reduction processing through correlation analysis of each data category in the comprehensive feature set to obtain a low-dimension data set; training a time synchronization scheme design model by using the training set, and importing the real-time low-dimensional data set into the trained time synchronization scheme design model to obtain a real-time adjustment scheme; and performing visual interaction on the adjustment scheme to realize intelligent management of power grid time synchronization.

This invention belongs to the field of spectral data processing technology, specifically a spectral data processing system and method based on in-situ data sensing and intelligent analysis. This invention employs in-situ optical imaging, absorption spectroscopy, fluorescence spectroscopy, and PL mapping to acquire real-time three-dimensional spectral data of time, wavelength, and intensity for real-time monitoring of material crystallization, defects, and luminescence properties. It uses an automatic invalid value detection and cleaning algorithm to address data quality issues; it extracts peak position and half-peak width (WHM) characteristic parameters from the spectral data using peak position extraction and WHM calculation methods; it uses a nonlinear optimization algorithm to perform multi-peak Gaussian fitting on the spectral data; and it employs a signal-slot mechanism to achieve real-time synchronization of data presentation and fitting analysis, forming a complete closed loop of in-situ testing, data sensing, processing, analysis, synchronization, and export. This invention achieves real-time acquisition, efficient processing, accurate analysis, and automatic synchronization of spectral data, providing technical support for standardized processing and traceable analysis of spectral data.

The present invention relates to the technical field of cat litter quality inspection, and in particular to a cat litter quality inspection method and system based on image recognition, the method comprising: extracting cat litter samples and placing them in a test container for numbering; performing single-point pouring tests with preset amounts of simulated urine at different positions, collecting cat litter sample images in real time, analyzing the actual absorption rate of the cat litter samples, and determining the cat litter absorption capacity; obtaining a number of test images, identifying the agglomeration area area corresponding to agglomeration particles, and determining the cat litter agglomeration capacity according to the comparison result of the agglomeration area area; separating agglomeration particles, shaking the agglomeration particles, analyzing the images before and after shaking, and judging the cat litter disintegration based on the analysis results; generating a quality inspection form based on a number of numbers, cat litter absorption capacity, cat litter agglomeration capacity and cat litter disintegration, analyzing the quality inspection form, and determining the quality inspection report of this batch of cat litters based on the analysis results. The present invention improves the accuracy of the quality inspection results.

The invention provides a method, device and system for eliminating jitter at the tail end of a mechanical arm and a storage medium, and relates to the technical field of robot control, and the method for eliminating jitter at the tail end of the mechanical arm comprises the steps that historical motion data of the tail end of the mechanical arm to be subjected to jitter elimination is obtained and converted, and a sampling spectrogram is obtained; judging the sampling spectrogram according to a preset threshold value to obtain band-pass data; filtering the real-time motion data of the tail end of the mechanical arm to be subjected to shake elimination according to the band-pass data so as to eliminate shake of the tail end of the mechanical arm to be subjected to shake elimination in the motion process; through the jitter eliminating process, the filtered data can more accurately reflect the real motion state of the tail end of the mechanical arm, and therefore the operation precision of the mechanical arm is improved. Particularly, under the condition of fine operation or high-load working, the accuracy is crucial.