6results about How to "Get enough" patented technology

The invention provides a question and answer search method and device and terminal equipment. The method comprises the steps that question information is acquired; according to the question information, determining at least one search mode corresponding to the question information in a plurality of search modes; and processing the question information according to the at least one search mode to obtain answer information corresponding to the question information, and performing answer display according to the answer information. The accuracy of searched answers is improved, and the efficiency of searching answers is improved.

The invention discloses air particulate matter concentration detection equipment, and relates to the technical field of air detection.The air particulate matter concentration detection equipment comprises a main body and an air inlet pipe, a support is installed in a connector of the air inlet pipe and the main body, a second motor is installed in the middle of the support, and blades are installed on an operating shaft of the second motor; the device has the advantages that the first motor of the flow guide assembly drives the rotating frame to rotate, the angle of the flow guide plate can be adjusted to guide air into the air inlet, the air inflow is increased, it is ensured that an air sample is fully obtained in time, mounting and dismounting are convenient, the flow guide assembly can be easily taken down when equipment is transferred, and meanwhile the position of the air inlet pipe can be adjusted by screwing a rotating wheel; the main body is rotationally placed on the placing frame behind the main body, so that the vertical occupied area is reduced, obstruction is avoided when the equipment is moved, the main body can be fixed on the bearing frame through the mounting frame, the sliding block, the clamping block and the like during mounting, different mounting scenes are adapted, the mounting efficiency is improved, the operation stability is ensured, and the equipment universality is improved.

The present invention belongs to the technical field of waste heat recovery, and discloses a plant steam waste heat recovery and utilization system, including: a steam turbine; a generator and a compressor, which are coaxially connected to the steam turbine; the compressor is provided with a cooling cavity, and the steam inlet of the compressor is connected to the outlet of the cooling cavity; a steam pipeline, which is used to supply steam with waste heat and is connected to the inlet of the cooling cavity of the compressor; a pressure matcher; a low-pressure steam inlet valve, which is arranged between the cooling cavity of the compressor and the side steam inlet of the pressure matcher; a high-pressure steam inlet valve, which is arranged between the steam outlet of the compressor and the axial steam inlet of the pressure matcher; a bypass regulating valve, whose inlet is connected between the high-pressure steam inlet valve and the steam outlet of the compressor, and whose outlet is connected between the outlet of the pressure matcher and the steam inlet of the steam turbine. The present invention solves the problem that the existing steam waste heat recovery system can only convert the waste heat of steam into the heat of water for utilization, and cannot be converted into other energy forms, and has limitations.

The present invention provides a method, device and storage medium for extracting grammatical information based on Solidity smart contracts, including: calling a first indexing algorithm to construct a first business class corresponding to a current grammatical node and saving the index relationship of the grammatical information of the current grammatical node at the same time; calling a grammatical filling algorithm to fill the grammatical information of the current first business class; calling the next-layer grammatical node business class to fill the grammatical information corresponding to the next-layer business class until all business classes are filled; sorting the inheritance order of the contract to obtain the inheritance line information of each contract so as to accurately realize the tracing of each expression type in the contract. The present invention recursively establishes a tree data structure composed of each grammatical node business class, so that each grammatical node can fully obtain the grammatical information of the grammatical node, thereby solving the problem of incomplete and inaccurate grammatical information extraction in the grammatical information extraction method based on grammatical tree traversal.

The invention discloses a method for detecting and analyzing halogenated organic matters in landfill leachate and polluted water thereof, which comprises the following steps: acidifying a sample by using formic acid through a combined solid-phase extraction method of HLB solid-phase extraction and PPL solid-phase extraction, respectively performing solid-phase extraction and enrichment on the water sample by using an HLB solid-phase extraction column and a PPL solid-phase extraction column, and eluting by using methanol, the method comprises the following steps of: performing solid-phase extraction and enrichment on a water sample, respectively performing FT-ICR MS detection on the solid-phase extraction and enrichment samples, respectively performing molecular formula matching, molecular screening, molecular information summarization and sample data statistical analysis on two types of FT-ICR MS detection data, taking a union set of the two types of FT-ICR MS detection data to obtain all soluble halogenated organic matters (HOCs) in the water sample, and then visualizing the types of the halogenated organic matters through a mulberry-based diagram. According to the method, the molecular information of HOCs in the sample, especially the soluble halogenated organic matter containing Cl and Br molecules, can be more sufficiently obtained, and the occurrence characteristics, molecular characteristics and distribution characteristics of halogenated soluble organic matter molecules in the sample in a water body can be more clearly and comprehensively displayed.

This invention discloses a data-augmented anomaly localization method for IoT-sensing cloud data centers, relating to the field of cloud data. The method includes: S1 acquiring a training dataset; S2 constructing an anomaly detection model; S3 importing the training dataset into the anomaly detection model for optimization training; S4 acquiring the raw data from the cloud data center in real time and importing it into the optimized anomaly detection model to obtain predicted values ​​for the raw data; and S5 determining anomalies in the raw data of the cloud data center based on the predicted values ​​and the true values ​​of the raw data. The method utilizes data augmentation-neural transformation and convolutional long short-term memory networks to mine different aspects of the temporal and spatial characteristics of multivariate time series, increasing the amount of training data and reducing false positives caused by non-stationary and nonlinear real-time IoT data. Furthermore, it employs an attention-based autoregressive LSTM network to reduce the dimensionality of the data and extract features again, fully acquiring information beneficial to prediction from the data and improving the robustness of the model's anomaly detection.