62results about How to "Scientific guidance" patented technology

The invention relates to an application method of a three-dimensional scanning technology in building engineering based on a BIM. The method comprises the steps of scanning a construction site and surroundings through the three-dimensional scanning technology, and generating data; establishing a BIM three-dimensional model of the construction site and the surroundings; guiding site construction through the BIM three-dimensional model of the construction site and the surroundings; establishing a BIM three-dimensional model of design paper; establishing a BIM three-dimensional model of a finished process; comparing the BIM three-dimensional model of the design paper with the CAD model of the paper of a designing institute or the BIM three-dimensional model of the design paper; and modifying or perfecting the finished process if there are deficiencies or defects.

The invention provides a comprehensive evaluation method of a development level of an active power distribution network, which comprises the steps such as that an IDEF0 model of the active power distribution network is established; a comprehensive evaluation index system of the active power distribution network is established; comprehensive evaluation is carried out; and the development of the target power distribution network is analyzed, and improvement methods are put forward. The evaluation of the development level of the active power distribution network provided by the invention is beneficial in that the method can reflect indexes of overall performance, construction progress and a technical supporting level of the active power distribution network, and the established comprehensive evaluation index system of the active power distribution network and the formulated comprehensive evaluation implementation method are applicable to actual situations of power distribution network construction and management in our country, can reflect the overall development level of the active power distribution network, make for excavating weak links in the power distribution network and can provide scientific and effective guidance for comprehensive improvement of the development level of the power distribution network.

The invention discloses a county-level road accident forecasting method based on geographic weighting Poisson regression. Firstly history road accident frequency data of each county in a research scope are collected through data survey; then a model relation between county-level accident frequencies and influencing factors and a geographic position matrix form of influence coefficients of each variable quantity are set, and a geographic weighting function in a parameter estimation process is carried out; and parameter estimation is carried out on a Poisson regression model according to geographic weighting. A problem that existing county-level road accident forecasting does not give consideration to spatial heterogeneity to cause not-high forecasting accuracy is solved, and scientific and reasonable guidance is provided for county-level road accident forecasting and safety prevention and control policy formulating.

The invention discloses a coordination algorithm-based real-time water distribution method for a channel system in an irrigation region. The method comprises the steps of 1) performing water demand plan reporting according to water demands of water users in the irrigation region; 2) when a total water quantity in the irrigation region is less than a total water demand quantity of the water users,building a real-time water distribution scheduling model; 3) establishing a Hamiltonian function to work out optimal solutions of distributed water quantities of the water users; and 4) according to the optimal solutions, scheduling flow distributed to the water users and gate opening. The water quantity scheduling accuracy and timeliness are improved and the water resource effective utilization rate is increased.

The invention discloses a bicycle-mode traveling selection forecasting method based on an activity chain mode. The forecasting method includes the steps that the data survey is carried on a situation of resident traveling, and the survey result is managed and added up; a selecting mode of the resident traveling in a day in the data survey result is extracted, and the traveling mode is carried out on a variable virtual operation and a coding operation; a correlated variable in the activity chain mode is input to multi-term logit models, and a coevolution logit model can be obtained through calculating; the calculated coevolution logit model is carried out on iterative operation, and two selecting results of traveling modes are recorded; the two selecting results of the traveling modes are carried out on statistics and analysis, the prediction accuracy is carried out on contrastive analysis. By the statistics and the analysis of the vehicle selection of residents in urban, the proportion of the bicycle-mode traveling selection can be accurate to forecast, so that the urban traffic planning and the decision of the policy can be provided with the scientific and reasonable guidance.

The invention relates to a method for honeybee pollination to watermelon in a facility. The method comprises the followings: the propagation time of colonies for pollination is 40 to 50 days before moving to the facility; the breed is western honey bee; 2 to 3 piece of honeycombs and about 5000 bees are included in one beehive; an insect prevention screen is mounted; the application of various farm chemicals inside the facility is prevented, and systemic insecticide is prevented from being applied; the temperature is controlled to be 22 to 28 DEG C, and the relative humidity level is 50 to 80 percent; during early flowering season of watermelon, colonies for pollination are put into the facility; the beehive is placed in the center of the facility, which is 0.5 to 1 meter far from the ground, and a sunshield device is arranged above the beehive; a hive entrance faces to the south or the north; one box of pollination honeybee is arranged inside a 600 to 700.2 meter shed; the bee colonies is in standing for 15 to 30 minutes after moving into the facility, the hive entrance is opened slowly; the pollination time is 6 to 10 days; and after pollination and the honeybees going back to the honeycomb, the hive entrance is closed, and the bee colonies are evacuated. The invention provides standard specification for pollination to watermelon in the facility so as to guide planting personnel.

The invention discloses an intelligent seat robot. The intelligent seat robot comprises a walking system, a seat assembly and a controller, wherein the walking system comprises an attitude adjusting platform and at least three movable connecting assemblies; the at least three movable connecting assemblies are distributed along the circumference of the attitude adjusting platform at intervals; the upper end of each movable connecting assembly is pivoted to the attitude adjusting platform, and a driving wheel assembly is arranged at the lower end of each movable connecting assembly, and is used for driving the corresponding movable connecting assembly to move and rotate; the seat assembly is arranged on the attitude adjusting platform, and comprises a seat and a physical therapy device, and the physical therapy device is arranged in the seat, and comprises at least one of a shoulder and neck massage device, a back massage device, a hip massage device and a foot massage device; the controller is electrically connected with the driving wheel assemblies and the physical therapy device respectively to control the driving wheel assemblies and the physical therapy device to work. The intelligent seat robot provided by the invention has the advantages that the office, leisure and health care are integrated, and the office efficiency is improved.

The invention discloses a land use combination form determination method related to road traffic accident risks. The land use combination form determination method comprises steps of collecting history data and other parameters of each traffic analysis district in a research range, performing dividing on a land use combination form through a clustering method, establishing a geographic weighted regression model according to a partitioning result and extracting a risk land use form highly correlated to traffic accidents, constructing a determination analysis function, establishing determination methods for various land use combination forms, performing determination on a land use combination form of a newly-provided traffic analysis district on the basis of a determination analysis function, and determining risk land use characteristics. The land use combination form determination method related to road traffic accident risks overcome a past problem of lack of variety of land use characteristic representations and spatial heterogeneity, can accurately improve result accuracy and can provide a scientific and reasonable guidance to land planning and traffic safety prevention and control policy.

The invention provides a supplier management model system comprising the following steps of: (1) firstly, carrying out competency assessment on a supplier, and then grading and ranking competency conditions by the system; (2) assessing performances of the supplier according to estimated results of the competency assessment of the supplier, wherein the results comprise assessment grade, cost, manufacture, installation and debugging and an operation and maintenance part; and (3) classifying the supplier according to a performance assessment result of the supplier, so as to realize the management of a supplier relation. According to the invention, by adopting an advanced management analysis model and a scientific mathematic analysis method, a specific analysis and management process on the supplier can be realized, so that the accuracy on analyzing and assessing the supplier is improved. The supplier management model system can be widely applied to various supply chain management systems.

The invention belongs to the technical field of intelligent internet of things, and especially relates to a bioelectrical impedance detection terminal based internet of things smart beauty treatment system. The system includes a bioelectrical impedance detection terminal based on m sequence bioelectrical impedance and an all phase FFT response algorithm, an intelligent mobile equipment terminal and an internet platform based on cloud computing and big data; the bioelectrical impedance detection terminal is a wearable structure, and is in communication connection with the intelligent mobile equipment terminal; the bioelectrical impedance detection terminal has a sensitive metal probe and can accurately collect data; and an independent sensing system is arranged in the bioelectrical impedance detection terminal. The wearable bioelectrical impedance detection terminal based on the m sequence bioelectrical impedance and the all phase FFT response algorithm can obtain the distribution of skin electric characteristic parameters by applying excitation current or voltage through a surface electrode array and measuring boundary voltage or current signals, and therefore, skin function characteristic data models can be rebuilt.

The invention provides a multifunctional simulation experiment table for researching a spontaneous combustion characteristic of residual coal under the action of multiple disaster-causing sources of adeep well, and relates to the technical field of mine safety engineering. The simulation experiment table comprises a stope structure simulation system, a gas emission control system, a heating control system, a ventilation control system, a deep well mine pressure control system, a data information acquisition and analysis system and a central main control system; the stope structure simulationsystem is used for simulating the space structure of a stope; the gas emission control system is used for controlling gas emission; the heating control system is used for simulating terrestrial heat of the stope and heating the residual coal in a goaf; the ventilation control system is used for providing air flow for the simulated stope; and the deep well mine pressure control system is used for simulating a roof pressure of the goaf. According to the multifunctional simulation experiment table for researching the spontaneous combustion characteristic of the residual coal under the action of the multiple disaster-causing sources of the deep well provided by the invention, the degree of matching between the simulated spontaneous combustion process of the residual coal of the goaf and the real condition is high, and research conclusion and result are real and reliable.

The embodiment of the invention provides an agricultural knowledge intelligent question-answering method and system and electronic equipment. The agricultural knowledge intelligent question-answeringmethod comprises the steps: obtaining a user question, and extracting at least one keyword in the user question; inputting the keywords into an agricultural technology knowledge graph model, and obtaining an output result corresponding to the user question and output by the agricultural technology knowledge graph model, wherein the output result at least comprises question answers; and obtaining the agricultural technology knowledge graph model based on agricultural technology knowledge graph training. The agricultural knowledge intelligent question-answering system comprises a data receivingunit and a data processing unit and is used for executing the agricultural knowledge intelligent question-answering method. The agricultural knowledge intelligent question-answering system and methodcan establish an agricultural technology knowledge graph through deep learning and analysis of massive question and answer data, can establish an agricultural technology knowledge graph model based onthe agricultural technology knowledge graph, can perform keyword extraction on question description input by a user, can realize the functions of intelligently identifying questions and generating solutions, and can provide a convenient, scientific and efficient guidance mode for agricultural production.

The invention provides a big data-based bank retail deposit business data analysis system and method. The system comprises a preprocessing module, a storage module, a processing module and an analysis module, wherein the preprocessing module is used for obtaining analysis data and desensitizing the analysis data; the storage module is used for storing the desensitized data; the processing module is used for establishing a basic data model table and an analysis model table by utilizing the data in the storage module; and the analysis module is used for visualizing the processed data. The method comprises the following steps of: S1, obtaining and desensitizing production source data by the preprocessing module; S2, carrying out partition storage on the desensitized data by the storage module; S3, establishing the basic data model table and the analysis model table by the processing module by utilizing the data in the storage module; and S4, visualizing the processed data by the analysis module. On the basis of a big data technology and data resources in industries, comprehensive and deep analysis is carried out on retail deposit businesses of banks.

The invention discloses a method for carrying out piecewise fitting on the probability distribution of regional lightning current amplitudes based on SPSS (statistic package for social science), which comprises the following steps: S1, recording lightning location data of each lightning in a region, wherein the lightning location data comprises specific lightning sites and lightning current amplitudes I; S2, carrying out statistics on the lightning location data through Excel software so as to obtain a cumulative probability P (>I) of different lightning current amplitudes; S3, screening the lightning location data: only taking negative-polarity lightning currents with a lightning current amplitude of 0-200 kA into consideration; and S4, dividing the lightning current amplitudes into three intervals, namely, (0, 13], (13, 45] and (45, 200], and taking set values with a confidence probability of 95% to carry out fitting. According to the invention, the distribution rule of lightning current amplitudes of a region can be reflected more truly, and more accurate basic data can be provided for calculation of the lightning trip-out rate of lines, so that the lightning protection design and operation maintenance of electric transmission lines can be instructed more scientifically, thereby effectively reducing the lightning trip-out risks of lines, and generating obvious economic benefits and social benefits.

The invention belongs to the technical field of high-voltage transmission line natural disaster prediction, and particularly relates to a high-voltage overhead transmission line typhoon disaster prediction method based on a classification decision tree. In order to overcome the defect that a traditional typhoon disaster prediction method is not high in accuracy is overcome, the invention adopts the following technical scheme: the prediction method comprises the following steps: S1. selecting a typhoon disaster influence factor of the high-voltage overhead transmission line; S2, constructing ahistorical typhoon disaster fault point influence factor database of high-voltage overhead transmission line; s3, performing typhoon disaster prediction model training by adopting a classification decision tree; and S4, performing typhoon disaster prediction by adopting a typhoon disaster prediction model and combining the target high-voltage overhead transmission line and typhoon prediction data.The method has the advantages that the influence of typhoon disasters on the high-voltage overhead transmission line can be accurately predicted, and therefore disaster prevention and reduction workcan be scientifically guided.

The invention relates to the field of big data industrialization, and in particular to an intelligent control hanging system based on the Internet of Things technology, comprising an intelligent hanging production system and a production information management system; the intelligent hanging production system is used for assisting high-efficiency industrial production and recording real-time production data based on a transportation device and an identification device; the production information management system includes a first data server, a first backup server and a management terminal display device; the production information management system communicated with the intelligent hanging production system, and is used for the whole process monitoring and tracking of the intelligent hanging production system to obtain real-time production data, performing calculation and analysis to obtain the analysis result and displaying the analysis result on the management terminal display device to assist the production management. The system combines the Internet of Things in the intelligent industrial assembly line mode, facilitates unified scheduling, optimizes resources, matches big data, optimizes production capacity and resources, reduces costs, and maximizes revenue.

The invention relates to an autocontrol type cigarette case capable of assisting smoking cessation. Single-person or multi-person control smoking cessation can be achieved. The autocontrol type cigarette case capable of assisting smoking cessation comprises a software platform and a smoking cessation cigarette case body. The software platform is used for transmitting instructions and analyzing and processing data so that the smoking cessation process of a user can be guided. The smoke cessation cigarette case body is composed of a control system, a data collecting system, an execution switch part and a cigarette containing area. According to the autocontrol type cigarette case capable of assisting smoking cessation, single-person control smoking cessation can be achieved when a smoking cessation person is firm in mind, multi-person control smoking cessation can be achieved when smoking cessation persons are weak in willpower, the smoking cessation persons can communicate with one another and encourage one another, and the possibility of smoking cessation successes is greatly improved.

The invention relates to an intelligent electric meter quality evaluation method based on an analytic hierarchy process, and the method comprises the steps: extracting related factors affecting the software quality of an intelligent electric meter according to the hardware and software function characteristics of the intelligent electric meter, building an analytic hierarchy process model, and carrying out scoring and grading of the quality of the intelligent electric meter; and then, adding all fault electric meter scores to obtain a fault score, and finally, evaluating the quality of the intelligent electric meter based on the score. According to the method, adverse effects caused by subjective factors are reduced, and a more objective and scientific basis is provided for evaluation andsupervision of the quality of the intelligent electric meter.

The invention discloses an application method for collecting boat and paddle data of a hydrostatic project. The application method comprises the following steps of installing a three-dimensional forcesensor and a three-axis sensor on each paddle; installing a three-axis sensor, a GPS positioner and a water speed meter on a boat body; and electrically connecting the three-axis force sensor, the three-axis sensor, the GPS positioner and the water speed meter to a wireless signal receiving-dispatching module, wherein the wireless signal receiving-dispatching module is connected with a computer.A plurality of motion indexes of an athlete can be monitored, objective data can eb acquired, and a coach can perform more scientific and more targeted guidance on the athlete.

The invention relates to the field of plant protection and particularly provides an indoor biological measuring method of wheat aphids. In the invention, a plastic dropper is employed as a biological measuring tool and is sealed by cotton. The method is simple in operation, can save space and is reduced in damage and error on to-be-test aphids due to operations in a biological measuring process. In addition, wheat seedlings are arranged in the plastic dropper so that the moisture of the wheat seedlings can be maintained well, thereby ensuring accuracy of a biological measuring result. The novel indoor medicine film biological measuring method of the wheat aphids can be used for finding resistance level and distribution thereof of field population of the wheat aphids on medicines in different action mechanisms, thereby guiding field application of the medicines more scientifically.

The invention relates to an intelligent filling type epoxy coating steel strand, which comprises a central wire and side wires. A gap between the central wire and each side wire is filled with epoxy resin; epoxy resin is also sprayed on the periphery of each side wire; one of the side wires is taken as an intelligent side wire which comprises a steel wire of an optical fiber and a fiber bragg grating sensor, i.e. a groove is formed in a whole length range of the intelligent side wire, and the optical fiber and fiber bragg grating sensor are implanted in any position in the groove. An optical fiber cable can be drawn from the side face of the filling type epoxy coating steel strand, so that the great change is brought as follows: the optical fiber and fiber bragg grating sensor can be implanted into any position in a length direction of the intelligent filling type epoxy coating steel strand so as to be used for monitoring the stress of the filling type epoxy coating steel strand; the stress of the filling type epoxy coating steel strand can be conveniently monitored on a key section cared by people, the over tensioning of the filling type epoxy coating steel strand is more scientifically guided, and great contribution is made for safety and durability of projects.

The invention discloses a transformer substation waterlogging early-warning method and an early-warning system. The method comprises the steps of through calculating an idle space which is not occupied by a fixed object at different spatial heights in a transformer substation, establishing a relation function among a transformer substation water accumulating amount, the idle area and the spatial height; evaluating the highest water discharging capability of a transformer substation water discharging pipe network according to a water discharging pipe physical parameter in the transformer substation; according to a predicated water amount, the highest water discharging capability of the transformer substation water discharging pipe network and the water discharging capability of an emergencywater discharging facility, calculating the accumulated water discharging amount accumulated in the unit time of the transformer substation and the water level; and performing early-warning of transformer substation waterlogging according to the calculated transformer substation water accumulation amount and the water level. The method according to the invention can realize early-warning for transformer substation waterlogging, effectively guiding waterlogging preventing operation of the transformer substation, and reducing influence of a heavy rainfall disaster to a power grid enterprise anda total society.

The invention discloses a self-adaptive gait planning method, system and device for a hexapod robot and a medium. The method comprises the steps that a simulation model of the hexapod robot is built; establishing a gait generator according to the motion characteristics of the hexapod robot; the simulation model and the gait generator are fused, and a reinforcement learning motion control framework is constructed and obtained; training the reinforcement learning motion control framework to obtain parameters of a control network, so that the framework can control a simulation model of the hexapod robot to move in a simulation scene of an unstructured terrain; and integrating the control network obtained after training into a gait control framework of the hexapod robot for controlling the movement of the hexapod robot. The control framework based on reinforcement learning is used for learning the optimal strategy network to control the input of the gait generator, the problems that manual setting is needed and parameters are not easy to change are avoided, and the method can better adapt to the change of topographic conditions. The method can be widely applied to the field of robot control.

The invention provides a method for configuring power supply lines of a single-phase source ice cream maker, comprising the step of configuring a line from a distribution center to a distribution box and the step of configuring a line from the distribution box to a power socket. The invention solves the blindness of the single-phase source ice cream maker users on line configuration, scientifically, concisely and easily guides the ice maker users to consult and implement the method, and furthest ensures the normal working of the ice maker.

The invention provides a device and application as well as a coal underground gasification leakproofness evaluation system and method. The device comprises an experiment module; the experiment module is provided with an experiment cavity; the experiment cavity comprises an experiment cavity end cover and an experiment cavity barrel body which are detachably connected; the experiment cavity barrel body is composed of a double-layer cylinder body and a barrel bottom; the double-layer cylinder body comprises an inner cylinder and an outer cylinder a cavity is formed between the outer cylinder and the inner cylinder; a confining pressure applying component is arranged in the cavity and is connected with a confining pressure pipeline; a pore pressure injection hole is formed in the cylinder wall of the inner cylinder and is connected with a pore pressure pipeline; an experiment fluid injection channel and an experiment fluid output channel are arranged on the experiment cavity end cover and / or the barrel bottom of the experiment cavity barrel body; and the experiment fluid injection channel and the experiment fluid output channel both communicate with the interior of the inner cylinder of the experiment cavity. The device can simulate real occurrence conditions of coal, and specifically can simulate confining pressure and pore pressure of a deep coal seam. The device is matched with other equipment to realize coal underground gasification leakproofness evaluation considering real occurrence conditions of a coal seam.

The invention provides a Children interest culture analysis and guidance system based on big data. The system comprises a big data platform, a data visualization system and terminal equipment, whereinthe big data platform comprises a data collection module, a cloud storage database and a data analysis module; through the big data platform, data collection, analysis and storage can be realized; and the data visualization system is installed on the terminal equipment, various categories of data can be visually reflected, an analysis conclusion is obtained, and functions including online audition, offline entity recommendation and the like can be realized. by use of the system, targeted children interest culture analysis is realized, children interest culture can be more scientifically guided, and the practical requirement of the own development of children can be met.

The invention discloses a method, a device, equipment and a medium for adjusting LTE cell parameters. The method comprises the steps that conducting normalization processing on data related to cell operation parameters, generating standard data units of different dimensions; performing sample training on the standard data units with different dimensions to generate a simulation model; obtaining current operation parameters of the cell, inputting the current operation parameters to the simulation model for simulation; and adjusting the cell parameters according to the simulation result. The technical scheme of the invention can be used for effectively adjusting the parameters of the cell.

The invention discloses an anchoring part length design method based on displacement difference / gradient in underground engineering. The method comprises the steps that surrounding rock parameters ofsurrounding rock at the underground engineering position are obtained; the type of the anchoring part and the diameter and prestress of the anchoring part are selected; a three-dimensional model of the underground engineering is established; numerical simulation software is adopted to simulate underground engineering excavation to obtain displacement of a certain point of any surrounding rock depth in the same radial direction and displacement of a certain point of rock around a hole under any surrounding rock depth after different active supporting forces are applied; a displacement difference / displacement gradient is calculated at any surrounding rock depth; a displacement difference or displacement gradient change curve of rocks around the hole under the same active supporting force isdrawn; the surrounding rock depth with the displacement difference / displacement gradient smaller than and infinitely close to the limit elongation / limit elongation of the anchoring part in each displacement difference / displacement gradient change curve is selected as the length of the anchoring part; and in all the anchoring part lengths, the anchoring part length meeting the minimum cost principle is selected as the design length of the anchoring part.

The invention discloses a method for realizing remote manipulation and control experiment equipment combined with virtual reality. The invention needs to use laboratory equipment, a main server, a cloud database and a data computing server. The master server is used for calling and distributing instructions; cloud databases store a lot of data, including equipment laboratories in colleges and universities, laboratory equipment models, IP, and so on. The data computing server is used for the processing of large volumes of data required by the primary server. The invention solves the problems oflow utilization rate of the existing experimental equipment and unshared resources, solves the problem that the infrastructure of a factory or an enterprise cannot satisfy the practical training teaching, and provides a complete teaching and training system for the factory and the enterprise; the invention also solves the problems of low utilization rate of the existing experimental equipment andunshared resources. Integration of the existing scattered experimental equipment resources to improve the utilization of experimental equipment in the form of sharing, saving factories and enterprises' expenses.

The invention discloses a digital and intelligent landscaping maintenance integrated management system, which comprises a front-end data acquisition module, a terminal monitoring platform module, an intelligent automation module, an interaction module and a system connection module; the front-end data acquisition module comprises a 5G camera acquisition module, a soil monitor acquisition module and a small meteorological station acquisition module, and the front-end data acquisition module and the terminal monitoring platform module are connected through 5G signals. The digital landscaping maintenance comprehensive management system has the characteristics of intelligentization, visualization, early warning, economization, convenience and the like, integrates automatic control, an expert system, a sensor and a wireless communication technology into a whole, and reforms and innovates a traditional maintenance mode by means of an Internet of Things technology, a GIS geographic information technology and an image recognition technology; digitized and intelligent scientific maintenance management is carried out on landscaping, the labor intensity of workers is greatly relieved, the working efficiency is improved, and the maintenance cost is reduced.