10results about How to "Accurate Data Reference" patented technology

The invention belongs to the field of environmental protection and pollutant treatment, and relates to a method for enriching and detecting microplastics in a surface water body. The lignin is grafted with amido and carboxyl through two-step reaction, firstly, carbon quantum dot active site powder with positive charges on the surface is prepared, the carbon quantum dot active site powder is cross-linked with the modified montmorillonite, and the carbon quantum dot active site microporous adsorbent is prepared, so that the prepared adsorbent has multiple surface functional groups and multiple and uniform active sites, and the adsorption efficiency is improved. The adsorption speed of the micro-plastics in the water body can be increased, the adsorption capacity of the micro-plastics in the water body is improved, and rapid enrichment and separation of the micro-plastics in the water body are realized. Based on the enrichment and separation method, the invention further provides a method for measuring the microplastics in the water environment. According to the invention, rapid filtration, enrichment and detection of micro-plastics in water are realized, the operation is simple and convenient, and the accuracy is high.

The invention relates to the technical field of BIM construction, in particular to a monitoring system and method based on BIM construction, and the system comprises a ground control station and unmanned aerial vehicle bodies, the ground control station is provided with one or more unmanned aerial vehicle bodies, and BIM construction monitoring for a building structure group is realized by controlling the flight actions of the unmanned aerial vehicle bodies. The unmanned aerial vehicle body is provided with a monitoring mechanism A used for monitoring the space relation between building structures and a monitoring mechanism B used for monitoring the structural characteristics of the building structures, data information is collected through the monitoring mechanism A and the monitoring mechanism B, the ground control station compares the data information with a BIM building model, and BIM construction quality control is achieved.

The invention provides an industrial wastewater monitoring management system based on Internet of Things, and relates to the technical field of industrial wastewater monitoring. The system is configured to collect historical pollution discharge data of an enterprise related to a target pollution discharge port at the target pollution discharge port, and perform pollution discharge content analysis based on pollution discharge capacity to form historical pollution discharge content data of the enterprise; real-time pollution discharge data of the target pollution discharge port and real-time pollution discharge approval data of an enterprise related to the target pollution discharge port are acquired, pollution discharge change analysis is performed, and real-time pollution discharge change analysis result information is formed; according to the historical pollution discharge content data of the enterprise and the real-time pollution discharge change analysis result information, deviation traceability analysis is carried out, and super-discharge source reference data is formed. According to the system, the industrial wastewater discharged by the enterprise is timely and reasonably monitored, compared and analyzed by combining the data of the internet of things, so that the monitoring efficiency is greatly improved, the discharge amount of the enterprise can be strictly controlled, and timely and reasonable wastewater discharge management is realized.

This invention provides a converter impedance measurement method that overcomes the influence of nonlinearity. By injecting voltage disturbance signals of different frequencies and amplitudes multiple times, the impedance is determined based on the voltage and current responses of the voltage disturbance signals. The method also takes into account the voltage and current responses caused by circuit disturbances, which can effectively avoid the influence of nonlinear behavior in the process of determining the impedance group of the converter under test, ensure the final measurement accuracy, and provide accurate data reference for subsequent impedance stability analysis and the formulation of impedance stabilization strategies.

The invention discloses a heating ventilation air conditioner modeling simulation method and system. The method comprises the steps that space parameters of a target space where a heating ventilation air conditioner is to be arranged and air conditioner parameters of the heating ventilation air conditioner are obtained; establishing a spatial three-dimensional model corresponding to the target space based on a three-dimensional modeling algorithm and the spatial parameters; according to the air conditioner parameters and a preset air conditioner three-dimensional model library, an air conditioner model is arranged in the space three-dimensional model to obtain a heating and ventilation simulation model; based on a plurality of different temperature control scene conditions, a simulation algorithm and a neural network algorithm, performing simulation operation on the heating and ventilation simulation model to obtain a simulation prediction result; the simulation prediction result is used for assisting the arrangement of the heating ventilation air conditioner in the target space. Therefore, accurate and simulation prediction can be carried out by fully combining spatial characteristics and air conditioner characteristics, and more accurate data reference and data basis are provided for subsequent heating ventilation air conditioner design.

The present invention discloses a monitoring method and a monitoring system for Internet of Things equipment, and relates to the technical field of equipment monitoring. The monitoring method of the present invention comprises: equipment acquisition, monitoring analysis, equipment monitoring, data analysis and monitoring feedback. The monitoring frequency of the equipment is confirmed according to the use of the equipment and the use of the equipment in each historical monitoring cycle, and the type of each sensor is confirmed according to environmental data. In the monitoring process of each sensor, the collection state and transmission state of each sensor are detected. At the same time, according to the collection data of each sensor, the running state of the equipment is analyzed, and the intelligent selection of sensors and the intelligent setting of monitoring frequency in the early stage of equipment monitoring are realized, so as to ensure the adaptability of the sensor to the environment, and at the same time, ensure the suitability of the equipment monitoring frequency, and increase the sensor collection effect and transmission speed, so as to ensure the effect and efficiency of equipment monitoring.

The invention relates to the technical field of new energy automobile control, in particular to a new energy automobile speed calculation method which specifically comprises the following steps that a VCU receives and analyzes basic information serving as vehicle speed calculation; scale quantities of four tires are arranged in the VCU, actual tire radius information is calibrated off line into VCU software according to different tire configurations of different vehicle types of the whole vehicle, and then online VCU software flashing is performed, so that software and hardware matching of the actual tire radius information is realized; the VCU sends a vehicle speed obtained based on a vehicle speed calculation algorithm of the VCU to the ABS through a bus for receiving so as to carry out ABS control; the specific calculation algorithm is decided according to different operation conditions, the vehicle speed algorithm module is provided with a plurality of algorithm units according to the operation conditions, and the problems that in order to guarantee universality, software management cost and part cost, an ABS at the present stage can use one part to adapt to one vehicle type or even different vehicle types, and the cost is low are solved. Therefore, one set of software cannot meet the requirements of different vehicle types.

The invention provides a base wine body density prediction method and device, equipment and a medium. The base wine body density prediction method comprises the steps that multi-modal sensing data influencing base wine body density changes are obtained; sequentially carrying out data preprocessing and feature engineering processing on the multi-modal sensing data to obtain multi-modal sensing features; constructing a deep learning model integrated with physical information constraints on the basis of the multi-modal sensing features; training the deep learning model through a total loss function to obtain a base wine body density prediction model; and inputting to-be-predicted data into the base wine body density prediction model to obtain target base wine body density prediction data. Compared with the prior art, non-contact, automatic and high-precision dynamic tracking and prediction of the wine body density of the base wine are achieved.

The invention relates to an underwater sound vertical line array element sensitivity in-situ calibration method based on a high-precision synchronous clock. According to the invention, the non-directional sound source and the standard hydrophone are combined to realize real-time calibration of the sound source level of the non-directional sound source; through the design of LFM signal emission, the anti-interference capability of signals and the multi-frequency-point sensitivity measurement of the underwater acoustic vertical linear array are improved. Time is synchronized by using a high-precision synchronous clock, and time interval data of the non-directional sound source and the underwater sound vertical line array are accurately measured; and calculating the sensitivity of each array element by using the sound source level data of each frequency point, the open-circuit voltage of each frequency point, the average sound velocity and the time interval data so as to realize in-situ calibration. According to the invention, the sound source level of the non-directional sound source is calibrated in real time, and the sensitivity in-situ calibration of the underwater sound vertical line array is realized by combining the time reference provided by the high-precision synchronous clock. The sea test experiment provides a specific embodiment for the in-situ calibration of the underwater sound vertical line array, and the result meets the uncertainty requirement.

The present invention provides an optimization design method for an inter-band cascade infrared detector, comprising the following steps: S1, by changing the absorption area A of the inter-band cascade detector and the thickness d of each absorption area m , generate a structural combination, and calculate the quantum efficiency QE of each structural combination; S2, the effect of the interface interdiffusion phenomenon of the inter-band cascade structure on carrier collection is equivalent to a potential barrier, and a dark current calculation model of the mid-infrared inter-band cascade detector is established to calculate the dark current value of the inter-band cascade detector of each structural combination; S3, calculate the corresponding equivalent noise power NEP, and construct a corresponding curve between the equivalent noise power NEP and the corresponding structural combination; S4, according to the NEP value of step S3, select the minimum NEP value, and determine the corresponding structural combination as the structure with the best detector performance. The present invention improves the calculation accuracy under reverse bias, fully considers the temperature conditions of the working environment, and performs corresponding performance adjustment and optimization.