12results about How to "Quantitative precision" patented technology

The application discloses a kind of emotion evaluation and intervention method and system based on multi-modal data.Through terminal synchronous acquisition voice, face, screen tremor and so on multi-modal data;Reaction mode vector is generated based on context information and data verification fusion;The composite emotional state of user is determined using emotional emergence model.At the same time, personalized emotional causal diagram is constructed and updated, and the enhanced state vector is generated by extracting key causal path features.The vector is input into the intervention agent to output intervention actions;After execution, the emotional state is evaluated again and the reward is calculated, and the system model is updated online.The application realizes accurate emotion evaluation and closed-loop adaptive intervention that strikes the root.

The present application relates to the technical field of agricultural product processing, and discloses a plum kernel-meat separation chute conveying device and method, which obtains real-time rotation state of double excitation vibrators and extracts dynamic phase error, obtains instantaneous angular velocity deviation through filtering processing, calculates parasitic lateral disturbance force induced by error, introduces an experience forgetting factor to perform state-decay discrete quadratic integration on the disturbance force to obtain lateral slip accumulation displacement, performs nonlinear coupling on accumulated shrinkage of the chute opening degree in a limited time window and the lateral displacement to calculate dynamic jam risk margin, and finally extracts one-way deterioration gain as an adaptive weight according to the risk margin to generate an instantaneous frequency compensation instruction for feedforward control of a lagging side excitation vibrator. The device comprises a memory and a processor, and the above method program is executed by the processor. The present application realizes dynamic prediction and active feedforward inhibition of jam risk, and greatly improves the stability and production efficiency of the conveying system.

The invention provides a flower quality grading quality inspection method and system based on AI and image processing, and belongs to the technical field of computer vision and pattern recognizing.The method comprises the steps that an original image of the surface of a flower is collected through high-resolution imaging equipment, and high-frequency sub-band data representing tiny physical characteristics are extracted through multistage discrete wavelet transform; meanwhile, a sliding window is adopted to traverse the image, the color information entropy of a local area is calculated, and a color entropy graph is constructed. And after vectoring and splicing the two types of features, inputting the two types of features into a deep belief network model based on a multilayer restricted Boltzmann machine, and extracting deep abnormal feature codes. And finally, performing linear discriminant analysis on the code by utilizing a classification projection vector based on inter-class and intra-class distance optimization to generate an insect attack infection index, and realizing automatic grading quality inspection of the flower quality according to the insect attack infection index. According to the method, precise recognition and quantitative grading of tiny insect pests and recessive lesions on the surfaces of the fresh flowers are realized.

The invention relates to the technical field of nondestructive testing, in particular to a copper bar coating lower substrate defect nondestructive testing device based on terahertz waves, which comprises a terahertz scanning acquisition module used for controlling a transmitting and receiving unit to perform two-dimensional scanning so as to acquire an original waveform; the flight time dynamic correction module is used for resolving the local coating thickness and carrying out dynamic time axis alignment; the substrate roughness deconvolution module is used for calling the reference model to carry out deconvolution filtering so as to strip background scattering noise; the interface dielectric feature analysis module is used for extracting a dielectric feature vector reflecting an interface dielectric constant mutation state; the defect risk assessment imaging module is used for constructing a three-dimensional chromatography map and outputting a detection result; according to the method, the physical characteristic decoupling of the signal source is realized, the coating thickness fluctuation and the real defect are effectively distinguished, the misjudgment rate is obviously reduced, and the evaluation accuracy is ensured.

The invention discloses an energy consumption optimization calculation method in an industrial enterprise intelligent supply chain, and belongs to the technical field of industrial enterprise energy consumption management. The purpose of collaborative improvement of energy consumption and efficiency of industrial enterprises is achieved. The method comprises the steps of collecting 6 types of basic data based on an existing digital system of an industrial enterprise intelligent supply chain, and performing energy consumption data fusion and calibration to obtain energy efficiency indexes of the 6 types of basic data; a cross-link energy consumption synergistic effect of a logistics link, a storage link and a production link is considered, and a smart supply chain collaborative energy consumption coupling factor is calculated; order fluctuation data and inventory turnover data are introduced for elastic correction, and a corrected dynamic energy consumption factor is obtained; and considering the energy-saving technology of the intelligent supply chain, calculating an energy-saving cost balance factor based on the corrected dynamic energy consumption factor, introducing a carbon emission reduction coefficient and the equipment scheduling elasticity of the intelligent supply chain, calculating the optimal power consumption target value of the future one month, and directly applying the finally output kilowatt-hour level target value to the real-time scheduling decision of the intelligent supply chain.

The invention discloses a battery in-situ test system based on a product gravity-buoyancy grading mechanism, and belongs to the technical field of electrochemical energy storage and conversion. The system comprises a special-shaped cross section reaction kettle main body, an anode feeding driving mechanism, a modularized cathode interface assembly and a peripheral fluid and sensing circulation loop. The special-shaped section reaction kettle main body is provided with a top gas phase guide area, a middle electrochemical reaction area and a bottom solid phase settlement area, and in-situ separation and collection of gas, liquid and solid three-phase products are realized by utilizing gravity and buoyancy. And the anode feeding driving mechanism is used for realizing axial feeding of the anode and maintaining a constant inter-electrode distance. The modular cathode interface assembly is used for realizing quick assembly, reliable sealing and efficient current collection of an air cathode. And the peripheral fluid and sensing circulation loop is used for realizing field-liquid separation type monitoring. The problems that in the prior art, bubbles are shielded, mechanically peeled products are difficult to quantify, the polar distance cannot be changed, and monitoring interference is large are solved.

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 application relates to the transportation monitoring technical field and discloses a fresh agricultural product quality monitoring method and system in an in-transit logistics, which comprises the following steps: extracting vehicle vibration features in transportation vehicle driving data, analyzing the interaction information amount between the vehicle vibration features and the biomechanical damage state of fresh agricultural products by using a mutual information feature selection algorithm, and calculating a mechanical damage index caused to the fresh agricultural products in the transportation vehicle driving process based on the interaction information amount; calculating an environmental stress index based on the carriage environment features; inputting the mechanical damage index and the environmental stress index into a pre-trained agricultural product damage prediction model to output the cumulative damage index of the fresh agricultural products in a future period; predicting the remaining preservation time length of the fresh agricultural products, and formulating a fresh agricultural product preservation regulation strategy according to the remaining preservation time length. The application fully considers the coupling deterioration effect of the mechanical damage and the environmental stress on the agricultural product quality, and improves the accuracy and timeliness of the damage evaluation.

The application discloses a kind of industrial dynamic process robust fault isolation methods based on variational bayesian inference.The data in process industrial production process under normal working condition and fault condition are collected by sensor as the entire data set;Robust fault isolation model is established for the data set under normal working condition and fault condition;Suitable prior distribution is selected for each variable in the established robust fault isolation model, then the method of variational bayesian inference is used to solve, the posterior distribution of each variable is calculated, and fault indication matrix in the solution result is used for fault judgment and isolation.The method of the application can adapt to industrial dynamic process data with abnormal value or larger noise, and can realize accurate fault isolation, to provide effective support for industrial production control behavior.

The application relates to a preparation method of a HOF ratio fluorescent sensor and application of the HOF ratio fluorescent sensor in ammonia gas detection in exhaled air of patients with liver and kidney diseases. The material can detect trace ammonia gas, the lower limit of ammonia gas detection is 0.7 ppm, two opposite fluorescent response signals can accurately quantitatively detect the concentration of ammonia gas in the exhaled air of patients with liver and kidney diseases, the ammonia gas concentration obtained through testing keeps a high positive correlation with the blood ammonia concentration, specifically, the exhaled air of patients with liver and kidney diseases is collected in an aluminum foil gas collecting bag, the collected gas is introduced into an aqueous solution containing a ratio fluorescent sensing material Pt2Cu4@HOF-101, and the aqueous solution is statically placed for a period of time to complete ammonia gas detection in the exhaled air of the patient and fluorescent color development, or the patient directly blows the gas into the aqueous solution of the fluorescent sensing material to complete ammonia gas detection. Non-invasive rapid detection of liver and kidney diseases can be effectively realized, and the HOF ratio fluorescent sensor is expected to replace traditional blood ammonia detection and be applied to the fields of clinical diagnosis and disease course monitoring of liver and kidney diseases.

The present application relates to the field of environmental protection and ecological restoration technology, in particular to an artificial intelligence enhanced groundwater environment damage multi-scale quantification method and system, by acquiring comprehensive data of a groundwater pollution site, including hydrogeology, chemical and biological parameters, baseline calculation and geostatistical interpolation are carried out, the pollution damage amount exceeding the baseline is analyzed, a solute transport model is constructed to predict the pollution trend, the damage physical quantity is calculated, the repair technology is evaluated by combining the analytic hierarchy process, the weight is determined and sorted, finally the restoration cost method and resource equivalent method are used to quantify the groundwater ecological damage value, realize the scientific evaluation and visual presentation of the damage, apply the groundwater solute transport model to optimize the groundwater damage calculation technology link, which can more accurately predict the damage range and degree of groundwater during the damage period, so as to more accurately quantify the damaged groundwater amount.

A kind of foot pressure sensor, including the sole plate for being connected with the robot sole, the sensing mechanism for sensing pressure change is arranged on the sole plate, further including connecting plate, the connecting plate is vertically fixed on sole plate, the sensing mechanism is fixed on connecting plate and the sensing mechanism is perpendicular to connecting plate.The beneficial effects of the utility model are: by setting connecting plate vertically fixed on sole plate and installing sensing mechanism thereon, avoid the zero drift problem caused by the deformation or vibration of sole plate when sensing mechanism directly contacts sole plate, to significantly improve the accuracy and stability of pressure detection.