17 results about "Suitability analysis" patented technology

The invention discloses an activated carbon pore regulation and control method and monitoring equipment, and belongs to the technical field of spectrum analys.The method comprises the steps that on the basis of a probability prediction model, spectrum scanning frequency is dynamically adjusted, and real-time global spectrum collection is carried out; the method comprises the following steps: setting a self-adaptive threshold value, extracting time sequence slope and acceleration by a dynamic sliding window, generating a time sequence change matrix, judging an abnormal spectrum, screening and analyzing unexpected signals, realizing accurate identification of known and new unexpected signals, and reversely deducing molecular configuration parameters through a characteristic peak position interval. Calculating a matching degree difference value between the pore size and the molecular configuration, and carrying out matching analysis to ensure the suitability analysis accuracy of the pore characteristics and the pollutant molecules; according to the matching degree difference value, porosity gradient regulation and control are carried out, real-time monitoring is carried out to verify the regulation and control effect, self-evolution is achieved, and the regulation and control efficiency and precision are continuously improved.

The invention provides an automatic plant maintenance method and device based on multi-AI model collaboration, belongs to the technical field of intelligent plant maintenance, and solves the technical problem that the intelligent result of automatic maintenance is inaccurate due to lack of precise data support in existing plant maintenance. The method comprises the following steps: performing parallel processing on acquired data by utilizing a multi-AI model; the multi-AI model comprises a plurality of sub-models and a structured cooperative processing module; the sub-model comprises a plant health status evaluation sub-model; a disease identification sub-model; a pest recognition sub-model; an environment suitability analysis sub-model; a plant growth state stage identification sub-model; generating a unified data contract by using an information summarization formatting method; performing environment conflict detection, forming an intelligent maintenance executable strategy, converting an equipment instruction, executing automatic control and supervision, performing periodic monitoring management and adaptive adjustment, and outputting an intelligent maintenance result report. The system is suitable for automatic plant maintenance based on computer vision, the Internet of Things technology and the automatic control technology.

The invention provides a forest community space construction method and system using AI model optimization, and the method comprises the steps: firstly obtaining a forest basic environment data set containing topographic features, soil attributes and climate condition information, carrying out the community suitability analysis processing of the forest basic environment data set, and obtaining the suitability evaluation results of different tree species; calling a pre-trained community space optimization model to carry out space configuration calculation, generating a forest community space configuration scheme including tree planting position distribution and planting density planning, and generating a community planting layout instruction including geographic coordinate marks and planting quantity distribution rules according to the forest community space configuration scheme, and the community planting layout instruction is sent to a forest planting execution system to trigger planting layout operation, so that the forest community can be scientifically and efficiently constructed, and the ecological and economic benefits of the forest are improved.

The invention provides a dynamic regulation and control method for working parameters of an environment self-adaptive detector, and relates to the technical field of operation parameter optimization, and the method comprises the steps: obtaining a non-intervention operation state based on the model identifier of the detector and multi-modal environment feature vector retrieval; based on the non-intervention operation state and the multi-mode environment feature vector, working condition adaptability analysis is carried out, and reference control parameters are output; and after the jump control parameters of the updated environment feature vectors are matched to gradually adjust the detector from the reference control parameters to the jump control parameters, working condition suitability analysis is carried out according to the real-time operation working conditions and the updated environment feature vectors, and closed-loop dynamic regulation and control of the working parameters of the detector are carried out. The technical problem that in the prior art, due to the fact that working parameter setting of a detector in a complex working scene cannot be updated in a self-adaptive mode along with the environment, running reliability and detection precision of the detector are insufficient is solved. The technical effects of autonomously optimizing the working parameters of the detector in a complex and changeable environment and remarkably improving the detection precision of the detector are achieved.

The invention relates to the technical field of nuclear power construction, in particular to a nuclear island pipeline simulation installation method and system based on a digital system, and the method comprises the steps: obtaining nuclear island region information and installation demand information, and determining nuclear island structure information, region environment parameters and pipeline distribution information according to the nuclear island region information; constructing a pipeline area model of the nuclear island pipeline based on the nuclear island structure information, the area environment parameters and the pipeline distribution information; and performing suitability analysis on the pipeline area model according to the installation demand information to obtain a target installation point location and an optimal installation scheme, thereby improving feasibility and reliability of nuclear island pipeline installation.

The invention relates to the technical field of tourism industry data analysis, and discloses a tourism resource development suitability analysis method and device based on resource partition. The method comprises the following steps: firstly, obtaining initial partitions, and calculating a tourism evaluation index of each initial partition; and then according to the tourism evaluation indexes corresponding to all the initial sub-regions, the to-be-analyzed region is divided into a plurality of tourism large regions, and tourism development levels corresponding to all the sub-regions in each tourism large region are basically equivalent. According to the method, the to-be-analyzed area is not regarded as a whole to directly analyze the tourism resource development suitability of the to-be-analyzed area, but places close to the tourism industry development level are clustered into a large tourism area by designing a corresponding partition scheme, so that the analysis of suitability indexes is more reasonable; and finally, the ecological index data and the cultural index data are used as analysis indexes, so that the tourism resource development suitability analysis of each tourism region is more reliable and accurate.

A suitability analysis platform may receive one or more environmental parameter values of one or more environmental parameters collected for a plurality of sites by multiple sensor devices. The platform may aggregate the one or more environmental parameter values collected for each site of the plurality of sites by each site. Subsequently, the platform may receive queries for suitable sites for performing activities from user devices, in which each of the queries includes one or more environmental parameter value criteria for at least one corresponding environmental parameter of a suitable site for performing a specific activity. The platform may provide responses to the queries in which each response includes information on one or more sites of the plurality of sites with one or more environmental parameter values that match or are closest to the one or more environmental parameter value criteria of the corresponding query.

Technologies are provided for determining a suitability of data payloads for training a machine learning model. A schema can be generated based on sample data payloads that have different data formats. The sample data payloads (and / or additional data payloads) can be converted to a format that conforms to the schema. Feature vectors can then be generated based on the converted data payloads, and used to determine a suitability of the data payloads for training a machine learning model. If the data payloads are sufficiently suitable, the converted data payloads can be used to train the machine learning mode. Otherwise, the schema may be annotated and new converted payloads may be generated based on the annotated schema. The feature vector generation and suitability analysis can then be repeated.

The invention discloses a potential evaluation method for a wide-area gravity energy storage system, and belongs to the technical field of new energy storage. Comprising the following steps: acquiring multi-source geospatial data of a research area, and preprocessing the multi-source geospatial data; slope analysis is carried out by utilizing the slope raster data, and critical stable slopes under different material combinations are calculated; projecting the terrain according to the minimum running gradient to form an LES mapping structure, and extracting centroid parameters; calculating the energy storage potential of an energy storage unit according to the centroid parameter, and deleting an area with an abnormal gradient in the LES mapping structure; and performing quantitative evaluation and economic evaluation on the carbon emission of the wide-area gravity energy storage system. According to the method, GES suitability analysis and potential measurement and calculation in a large-area range can be efficiently and automatically completed, and systematicness and precision of a traditional method in the aspects of multi-source data processing, deployment feasibility analysis and environmental economic evaluation are remarkably improved.

The invention discloses an airborne gravity modification method based on a helicopter, which comprises the following steps: carrying out suitability analysis on a helicopter and an instrument to be selected, and preliminarily evaluating the feasibility of modification; determining the installation position of an airborne gravimeter and the installation position of a GPS antenna; calculating according to the distance between the airborne gravimeter and the GPS antenna and the interference of the airborne gravimeter deviating from the gravity center of the helicopter on the whole measurement equipment formed by the helicopter, and further evaluating the feasibility of refitting; designing a GPS antenna bracket, an airborne gravimeter adapter bracket, a power interface and laying a feeder line; after the refitting design is completed, comprehensive safety evaluation is carried out, and the refitting design of the helicopter is completed according to an evaluation result. According to the method, the mounting positions of the airborne gravimeter and the GPS antenna are reasonably designed, so that the quality of airborne gravity measurement data can be effectively improved, and the method has guiding significance for subsequent airborne gravity measurement refitting work.

The invention discloses a hard rock ore body mechanized mining data processing analysis method based on a sensor network, and relates to the technical field of data analysis, and the method comprises the steps: carrying out the evaluation of the toughness degree of a cutter based on cutter angle change condition data and cutter tip wear condition data during mining of mining equipment; evaluating the overall strength of the hard rock based on the condition data of the hard rock needing to be mined during mining; performing cutter mining suitability analysis on the basis of a cutter toughness degree evaluation result and a hard rock overall strength evaluation result; the operation state of the mining equipment during mining is judged according to the cutter mining suitability analysis result, the judgment result is pushed, and the cutter state and the rock mass condition are associated and matched by analyzing the cutter angle change and the cutter tip wear condition during mining of the mining equipment and combining the strength evaluation result of the hard rock at the same time. And a closed-loop decision of dynamic matching of the cutter and the rock mass is realized.

This application discloses a method and system for selecting auxiliary waterway video surveillance point locations, relating to the field of waterway transportation facility deployment and management technology. The method includes: determining potential areas for video surveillance equipment deployment on both banks of a target waterway based on vector surface format data; conducting a suitability analysis of surveillance equipment deployment at various locations within the potential areas based on multi-source geospatial data to determine a waterway surveillance equipment deployment suitability map; determining initial deployment points for the video surveillance equipment based on the waterway surveillance equipment deployment suitability map and a preset deployment strategy; determining the line-of-sight coverage of each initial deployment point on the target waterway based on surface elevation data; and adjusting each initial deployment point based on its line-of-sight coverage of the target waterway to determine the final auxiliary waterway video surveillance point location scheme. This application improves the efficiency and accuracy of waterway surveillance equipment deployment.

The invention belongs to the technical field of agricultural technology popularization service, and discloses an evaluation method suitable for pepper processing suitability analysis. An analysis basis is formed by constructing a feature knowledge base containing raw material texture features and producing area environment information and defining a strategy rule base of a mapping relation between a raw material feature mode and processing technology parameters, an evaluation algorithm specially designed for pepper features is adopted, and specific texture parameters such as the proportion of closed seeds and the like are introduced. Environment similar samples are matched according to the producing area information of the target raw materials, texture contours of the environment similar samples are estimated, adaptability scores in different machining directions are calculated, and customized detailed machining strategies are matched and generated from the rule base. The limitation that traditional processing depends on fixed regulations or experience is effectively overcome, accurate matching of the processing strategy and the personalized characteristics of the raw materials is achieved, and the flavor retention rate, the product quality stability and the processing efficiency of pepper processing are remarkably improved.

The invention relates to the technical field of intelligent agriculture, and discloses a planting method and system based on summer vegetables in a plateau area. The method comprises the following steps: continuously acquiring soil and meteorological multi-parameter data through a sensor array deployed in a target planting area, and performing verification processing to form a standardized data set; carrying out planting suitability analysis by using the data set to generate a spatial distribution map; establishing a crop growth prediction model in combination with historical data and real-time data, and outputting growth expectations of different planting schemes; formulating a detailed planting plan including time, density and position according to the map and an expected result; controlling the planting equipment to sow according to the plan, and continuously monitoring the growth vigor; and dynamically adjusting management measures according to the growth vigor change to form closed-loop regulation and control. According to the plateau summer vegetable planting management system, refining of planting planning and intellectualization of growth management are achieved, and the resource utilization efficiency and output stability of plateau summer vegetable planting are improved.

The invention discloses a student-oriented emotion recognition continuity eligibility analysis method and system, belongs to the technical field of emotion recognition analysis, and is applied to a student individual emotion analysis scene. The implementation method of the invention comprises the following steps: 1, constructing a knowledge base for listening for continuous eligible analysis and real-time data interaction of student emotion recognition; 2, constructing and training an emotion perception analysis model for continuous eligibility analysis for student emotion recognition; 3, after the students pass verification by adopting wake-up words and facial recognition, performing real-time analysis on the knowledge base by utilizing the trained emotion perception analysis model, forming voice from an obtained response text through a codec of a VQ-GAN and a Delivery ful TTS model which are jointly trained, and outputting the voice; compared with the prior art, the method has the advantages that proper and continuous listening identification on the emotion of the individual student is realized, so that the accuracy of student emotion analysis is improved.

This invention relates to the field of digital intelligent monitoring technology for Scutellaria baicalensis cultivation, and particularly to a digital intelligent monitoring method and system for Scutellaria baicalensis cultivation based on the Internet of Things (IoT). The method includes the following steps: collecting multi-source Scutellaria baicalensis sensor data through an array of IoT sensors, and analyzing the plant density and canopy temperature to generate plant density and canopy temperature data; performing multi-dimensional growth state confidence analysis based on the plant density and canopy temperature data to generate multi-dimensional growth state confidence data; performing environmental parameter index matching processing for the growth stages of Scutellaria baicalensis based on the multi-dimensional growth state confidence data to generate environmental parameter index matching data for the growth stages; and performing Scutellaria baicalensis cultivation parameter suitability analysis and intelligent control processing of the Scutellaria baicalensis distribution and cultivation environment based on the environmental parameter index matching data and the multi-dimensional growth state confidence data. This invention achieves intelligent control of the Scutellaria baicalensis cultivation environment.

The invention discloses a grassland building intelligent layout generation method based on digital topographic feature matching, and relates to the technical field of building layout, and the method comprises the following steps: carrying out digital topographic three-dimensional representation generation based on a grassland site, and obtaining a grassland digital topography; according to the grassland digital terrain, micro-topographic structure analysis is carried out to obtain a topographic feature distribution result; according to the topographic feature distribution result, carrying out suitability analysis to obtain a topographic suitability distribution result; performing module adaptation analysis according to the terrain suitability distribution result to obtain a module adaptation condition; performing space division according to module adaptation conditions to obtain candidate arrangement areas; and performing building layout according to the candidate layout area to obtain a building layout result. According to the grassland building layout method, continuous elevation information changes are converted into topographic structure features through topographic relief relation analysis, the reliability and stability of topographic feature results in the building layout are improved, and the systematicness and engineering implementability of the grassland building layout method are improved.