141results about How to "Guaranteed rationality" patented technology

The invention relates to a hospital medication management system with the medication safety monitoring and intervening functions. The hospital medication management system with the medication safety monitoring and intervening functions is composed of a medication safety monitoring system and an early informatization intervening system. The computer database technology and other technologies are adopted for the medication safety monitoring system. According to the professional examination principle in the medicine science and the pharmaceutical science, with the specialized knowledge in the medicine science and the pharmaceutical science as standards, relevant medicine data information can be provided when doctor's advice is entered and examination of drug allergy histories, drug interactions, contraindications, side effects, external injection medicine compatibility and the like is performed on the doctor's advice to assist a doctor in correctly screening medicines and determining the doctor's advice, a prompt and an alarm can be given timely when problems are found, and thus the possibility of errors is reduced.

The invention discloses a key node recognition method in a power communication network. The method comprises the following steps: step one, constructing a power communication network node importance evaluation system based on power communication network information; step two, constructing a normalized matrix based on the power communication network node importance evaluation system; step three, comprehensively determining index weight based on an entropy weight method and an analytic hierarchy process; step four, combining the weight vector with the normalized matrix to construct a weighted normalized matrix; and step five, computing based on the weighted normalized matrix to acquire the node importance order, recognizing a key node based on the order result, thereby realizing the technical effect of accurately recognizing the key node in the power communication network.

The invention discloses a communication bandwidth prediction method and device based on power business requirements and relates to the field of power grid communication technologies. The communication bandwidth prediction method and device based on the power business requirements mainly aim at improving the accuracy of business flow calculation and guaranteeing the scientificity and reasonability of infrastructure investments of all levels of communication networks of an enterprise. According to the main technical scheme, power businesses are classified according to bearing modes; communication bandwidth of the power business requirements are counted to obtain historical data for demand prediction predication of the communication bandwidth of different types of businesses according to corresponding bandwidth counting methods, and data of an influence factor system for communication bandwidth prediction are given; the data of the influence factor system for communication bandwidth prediction are simplified by the adoption of a principal component analysis method, and the simplified data of the influence factor system for communication bandwidth prediction are obtained; according to the simplified data of the influence factor system for communication bandwidth prediction and the historical data, power business bandwidth predicted through a neural network model, and the predicted actual communication bandwidth quantity required is obtained.

The invention relates to a scheduling platform for vehicles of scenic spots of a park. The scheduling platform is used for the park where tourists can only arrive at and depart from the scenic spots through the vehicles and comprises a plurality of scenic spot tourist number detection systems and a computer control system, each scenic spot tourist number detection system is arranged at one scenic spot of the park and used for detecting the number of tourists at the corresponding scenic spot in real time, and the computer control system is connected with the scenic spot tourist number detection systems and determines the number of additional vehicles dispatched to each scenic spot on the basis of the received numbers of the tourists at the scenic spots. Through the scheduling platform, the number of the additional vehicles dispatched to each scenic spot can be determined on the basis of the recognized number of the tourists at the corresponding scenic spot in the park, and reasonable scheduling of the vehicles among the scenic spots of the park is achieved.

The invention discloses a clinical pharmaceutical monitoring management system. The system comprises a medicine reforming and pharmaceutical evaluation module which acquires, sorts and classifies themedicine information of a patient and collects the basic information of the patient, a pharmaceutical monitoring plan module which at least monitors the treatment effect, safety and compliance of thepatient and records data and forms clinical key drugs of the patient into a standardized medicine list, a medicine recommendation module which classifies and analyzes medicine treatment events that actually exist or possibly exist and affect the treatment effect in a medicine treatment process according to a preset medicine recommendation rule and then gives a medicine recommendation, a medicine education module which stores various medicine education, a medicine consultation module which records information consulted in the daily work, and an inpatient medication record module which records the treatment experience of the patient in the whole hospitalization. The invention also discloses a method of the clinical pharmaceutical monitoring management system. Potential or existing irrationalmedicine application can be accurately found, the actual irrational medicine application is effectively solved, and the problem of potential irrational medicine application is prevented.

Provided are a method and device of predicting propagation path loss based on classification fitting, aiming to increase the efficiency of building a propagation model, improve the accuracy of predicting propagation path loss, and facilitate adaptively coupling corresponding propagation models according to propagation characteristics. In certain feasible embodiments, the method comprises: computing the electromagnetic wave propagation characteristics between a transmitter and a receiver according to actual measurement data; utilizing at least one propagation characteristic to classify the actual measurement data, and building a random forest classifier; performing nonparametric fitting on each kind of clustered actual measurement data to generate corresponding propagation models; and utilizing the random forest classifier to adaptively couple corresponding propagation models according to the propagation characteristics between the transmitter and the receiver, and calculating the path loss between the transmitter and the receiver.

The invention relates to the technical field of traffic management, and discloses an auxiliary responsibility determination method and system for a fender bender. The method comprises the following steps: S10, receiving traveling data sequences which are sent by car-mounted information terminals in cars immediately after the occurrence of an accident, receiving video clips sent by the car-mountedinformation terminals in the cars, and receiving pictures of an accident site; S20, processing and analyzing the video clips and the pictures of the accident site through the video information processing technology and the image recognition technology, so that the type of the traffic accident is determined; and S30, extracting and analyzing key information in the video clips, the pictures of the accident site and the traveling data sequences according to the type of the traffic accident and a preset responsibility determination model, so that the car responsible for the accident is determined.The method and system disclosed by the invention has the advantages that multi-source data are actively integrated for effective accident content digging, so that the occurrence of the accident can be rapidly reproduced, the accident responsibility can be scientifically and pertinently determined according to the accident type, spending of the police force can be reduced, an unimpeded road can bequickly restored, and fewer subsequent disputes can be achieved.

The invention provides a loan information reviewing method, a loan information reviewing device, and equipment. The loan information reviewing method comprises steps that basic information of a user is acquired, and is reviewed according to a first preset rule; when a reviewing result is suspended, expansion information associated with the user is acquired; the basic information and the expansion information are graded according to a second preset rule, and then the information score of the user is acquired, and therefore whether the information score reaches a set value is determined; when the information score reaches the set value, the loan reviewing of the user is passed; and when the information score does not reach the set value, the loan reviewing of the user is denied. The rationality and the accuracy of the loan information reviewing are effectively guaranteed, and labor costs are reduced, and the efficiency of the loan information reviewing is improved.

The invention relates to the technical field of CDMA wireless video-audio transmission, specifically to a wireless mobile audio-video transmission system. The system comprises a monitoring system of a command and control centre for multiplex transmission, display, storage and remote control of a remote audio-video, and a wireless video-audio transmission system for transmitting video images and sound signals in real time to the command and control centre by binding 4 or more than 4 (8-16) CDMA / EDGE / 3G wireless links. The system further comprises a vehicular wireless video-audio terminal for 4 CDMA channels to transmit audio-video in real time, to record image and sound locally with high definition, and to echo the image and sound locally with high definition. Through practical test, the system uses 4 CDMA links (4 caloric units) to realize a transmission rate of 300-450K / S at most, to smoothly transmit a CIF image (352*288) at a speed of 25 frame / S and to smoothly transmit audio signals.

The invention discloses vehicle-mounted terminal wireless access method for a vehicular access cooperative system. A wireless network access module is arranged on the a vehicle-mounted terminal, a wireless resource managing module is arranged on a road side wireless network AP or a base station, a combined wireless resource managing module is arranged on the Internet network side, information is transmitted and exchanged between the vehicle-mounted terminal and the wireless resource managing module and between the wireless resource managing module and the combined wireless resource managing module respectively through signaling and Internet, the QoS overall situation satisfaction, the network resource distribution overall situation effectiveness and the fairness are integrated into quantization parameters through the collaborative decision making of the vehicle-mounted terminal, the wireless resource managing module and the combined wireless resource managing module, and the parameters are driven to solve to enable a power system model to achieve wireless access decision information. By means of the vehicle-mounted terminal wireless access method, a vehicle-mounted terminal wireless access scheme capable of dynamically self adapting to network environment change can be given out from the comprehensive angle of guaranteeing the QoS overall situation satisfaction, the network resource distribution overall situation effectiveness and the fairness.

The invention discloses a variable selection method for modeling an organic pollutant quantitative structure and activity relationship. The method comprises the following steps of: calculating linear models combined with all single variables and different bivariables, and retaining a certain number of optimal models for the single variables and the bivariables; then sequentially taking out a model from the retained bivariable linear models, and combining two of the variables and each of the rest variables to form a tri-variable model until all the retained bivariable models are processed; comparing the quality of the tri-variable models, and retaining a certain number of optimal tri-variable models; and repeating, and stopping calculation until the number of variables forming the models meets the requirement, wherein the quality of the models is based on an end standard represented by q2 or a root-mean-square deviation (RMSEV) which is calculated by leave-one-out cross validation (LOOCV) or leave-multiple-out cross validation (LMOCV). The theory is simple and can be understood easily and programmed easily; and the method is quick and effective, so that the rationality of variable selection and the stability of the forecast capacity of the models are guaranteed.

The invention relates to rose sparkling wine and a production method thereof. The production method including the steps of rose screening, extraction, fermentation and the like. Compared with clam rose wine obtained through extraction and distillation of traditional strong wine, the rose sparkling wine obtained through the method is bright and shining in color, rose fragrance is rich, a whole oral cavity can be full of rose fragrance, the rose sparking wine is sweet but not greasy, fine bubbles are generated, the alcohol content is low, the bitter feeling of roses is reduced, and the rose sparking wine is wide in range of suitable crowds and is particularly preferred by females.

The invention discloses a flood forecasting method based on synthetic flow and shape fitting and relates to the technical field of hydrological simulation and forecasting. The method comprises the steps that a correlation between target cross section flow and upstream cross section flow is inquired and forecasted; distributed hydrological model modeling is conducted on forecasting drainage basin,and obtained runoff generation and confluence parameters of each calculation unit in a distributed hydrological model are calibrated; according to flood peak data of each time and flood volume data ofeach time of a forecasting target cross section, the corresponding relation of the flood peak and the flood volume is fit; corresponding exponential-type water subsiding curve parameters in the actual water subsiding process are inquired; a flow forecasting result of the forecasting target cross section in the confluence forecast period is obtained through flow synthesis; the forecasting flood volume and the forecasting flood peak of the forecasting target cross section in the flood on the spot are acquired; the corresponding flow forecasting result which meets a preset requirement is used asa final result of flood forecasting of each time. According to the flood forecasting method, the forecast period of flood forecasting is prolonged, so that the forecasting result is more reasonable and precise.

The invention discloses a multi-dimensional electric energy meter on-site state test method based on a decision-making tree mass. The method comprises the following steps of building a decision-makingtree by using collected data related to an electric energy meter and provided by an electricity information collection system; forming next-level branches through classifying each decision-making tree; generating the completely grown primary decision-making tree; pruning and optimizing on the primary decision-making tree based on a cost complexity pruning algorithm; using an independent test setto assess the accuracy of the primary decision-making tree after pruning and optimizing; selecting the optimal decision-making tree from each set of secondary decision-making trees, and forming a decision-making tree abnormity diagnostic model by all the optimal decision-making trees, wherein a judgment result wins in a voting manner; and transmitting an operational rule of the decision-making tree abnormity diagnostic model to an electricity information collection system Hadoop big data processing cluster, thus implementing abnormity detection on the abnormal running state of the running electric energy meter.

The invention discloses a power asset supervision method and a power asset supervision system based on an electronic identity card. The system comprises electronic identity card identification equipment (1), electronic identity card generating equipment (6), an electronic identity card (7), a database server (2) for storing fixed asset data, an application server (3) for calling the data stored by the database server (2), a wireless network (4), and a personal computer (PC) client (5), wherein the electronic identity card identification equipment is controlled to emit a microwave query signal; the electronic identity card synthesizes the microwave query signal and the data information in the electronic identity card into a whole and returns the whole to the identification equipment; the identification code, processed by the identification equipment, of the electronic identity card is sent to the application server; and the application server retrieves the database of the database server, returns the retrieval result to the identification equipment for resolving, and reveals the information of assets to users. According to the method and the system, the highest limit application ofthe assets can be effectively improved, the reasonability of working management is furthest ensured, the work efficiency and the work quality are improved, and the running and maintenance costs of enterprises are reduced.

The invention discloses a leave-multiple-out cross validation (LMOCV) method of a quantitative structure and activity relationship (QSAR) model of an organic pollutant. In the method, a uniform design method is integrated with LMOCV; related coefficients of uniform design optimized LMOCV (UDOLMOCV) serve as variable screening ending standards; meanwhile, the model is subjected to sample internal cross validation by using the UDOLMOCV during validation in the model; higher sample volatility is provided by using predictive capacity judgment indexes; validated samples are uniformly distributed in sample spaces by infrequent sampling validation of the sample; and the sample which is selected every time has quite high representativeness. The validated sample which is obtained by the method has quite high representativeness of sample distribution, so the defect of singleness of sample selection of a Monte Carlo method is overcome. The invention can be used for validating the stability and predicative capacity of the QSAR model and can be used for discovering and determining instability factors in the model.

The invention discloses a method for pre-distributing aircraft berths in an airport. The method comprises the following step of distributing the berths by adopting a score penalty distribution method, wherein a score penalty range is a closed interval from 0 to 100 scores, the 100 scores represent that an aircraft cannot berth, the 0 score represents that the berth is most suitable for berthing, other scores represent different precedence orders, and a low score has a priority; score penalty standards comprise fixed score penalty and scheduled flight conflict score penalty; the fixed score penalty comprises type score penalty, airline company score penalty, international and national type score penalty and far and near berth score penalty; and a rule of the scheduled flight conflict score penalty is that when two airports are berthed at the same position, the conflict score penalty is 100 scores, and when the interval time is longer than the station-crossing shortest guarantee time, the score penalty is 0 score, wherein a score penalty calculation formula is that score=0.2*n^2, and n is a minute difference value of the interval time and the shortest guarantee time. According to the method disclosed by the invention, the berths of the airports can be intelligently distributed by a procedure, and actual utilization requirements are met.

The invention relates to a fertilizer and water regulation and control device with solar photovoltaic power generation supplying power for a chemical sensor, belonging to the technical field of new energy Internet of things. Sunlight irradiates a solar battery installed on the top end of a photovoltaic chemical sensor inserted link to generate current, and current is supplied to the chemical sensor through a conductor wire and a controller. The lower part of the chemical sensor is soaked in the water layer of a rice field for sensing the concentration changes after nitrogen fertilizer and phosphorus fertilizer are applied to the rice field and converting the change of chemical amount into electric signals. A transmitting antenna installed on the chemical sensor transmits the electric signals into air, and after receiving the electric signals, a receiving antenna inputs the electric signals into a computer processor for processing. According to the concentrations of actually dissolved nitrogen fertilizer and phosphorus fertilizer in the water layer of the rice field and the growth development condition of rice plants, precise amounts of applied fertilizers of the nitrogen fertilizer and phosphorus fertilizer are displayed on a display, and a suggestion for applying fertilizer is printed and handed to rice field managerial personnel for implementation.

The invention discloses a clear-air channel detection quality control method suitable for assimilation of geostationary satellite data, and the method comprises the following steps of (1) pre-processing the observed radiant brightness temperature and simulated brightness temperature of the geostationary satellite AHI imager data; (2) establishing a minimum residual algorithm to estimate cloud toppressure and cloud proportion of AHI observation pixels; (3) establishing a cloud criterion algorithm to identify cloud types and evaluate cloud pixels; and (4) forming a coupling scheme by the minimum residual algorithm in the step (2) and the cloud criterion algorithm in the step (3), and establishing a dual cloud detection scheme. The method of the invention improves the data quality control level of the infrared channel of the stationary satellite imager, and improves the numerical model prediction level by improving the satellite data assimilation analysis.

The embodiment of the invention discloses a charging method and device of an elevator lithium battery emergency device. The method comprises the following steps of detecting the electrical quantity of a lithium battery pack by a battery management system; monitoring a first ambient temperature in a battery box by a temperature sensor when the electrical quantity of the lithium battery pack is lower than a charging electrical quantity threshold value; heating the battery box by a heating layer in the battery box when the first ambient temperature is detected to be lower than the preset temperature threshold value; monitoring a second ambient temperature in the battery box by the temperature sensor during the heating process; and starting a mains support to charge the lithium battery pack in the lithium battery emergency device when the second ambient temperature is judged to exceed the preset first temperature threshold value. In the charging method and device disclosed by the embodiment of the invention, the whole charging ambient temperature is controlled to be 0-40 DEG C, the safety and the charging reasonableness of the whole charging process are also guaranteed.

The invention discloses a water quality monitoring, analyzing and processing system based on big data analysis. The system comprises an underground water monitoring area division module, a monitoringpoint arrangement module, a monitoring point sampling module, a manual input module, a standard database, a monitoring point parameter acquisition module, a water quality parameter analysis module, asoil parameter analysis module, a management server, a regional underground water flow rate acquisition module, a regional underground water content statistics module and a display terminal. Accordingto the invention, water quality parameters of underground water and soil parameters around the underground water are comprehensively detected, and the detected water quality parameters and soil parameters are analyzed in combination with the water quality parameter analysis module and the soil parameter analysis module, so that underground water quality comprehensive pollution coefficients corresponding to all water level depths are subjected to statistics, the defect that an existing groundwater quality monitoring method cannot accurately reflect the comprehensive pollution condition of groundwater is overcome, the groundwater monitoring efficiency and accuracy are improved, and the groundwater quality detection requirement is met.

The invention discloses a finite-state machine-based traffic signal scheduling method and device. The method comprises the steps of defining the phase library of an intersection traffic signal; setting a transition path between the phases of the phase library; setting a constraint condition of the transition path between the phases of the phase library; according to the phase library, the transition path between the phases of the phase library and the constraint condition thereof, constructing a finite-state machine; based on the finite-state machine, scheduling traffic signals. Preferably, according to the actual condition of an intersection, a minimum safety time and light color transition constraints are set for the transition path. The embodiments of the invention solve the technical problem of how to ensure the security during the traffic signal scheduling process.

The invention relates to a grid partition-based method for estimating remaining capacity of an electric energy-substituted matched power grid. According to the method, user grid division and functional grid partition are performed on the electric energy-substituted matched power grid, the remaining capacity of a 10KV layer surface of the electric energy-substituted matched power grid is analyzed and estimated according to electric energy-substituted load characteristic in a user grid, and the remaining capacity of a 110KV layer surface and a 35KV layer surface of the electric energy-substituted matched power grid is estimated by synthesizing a grid structure of a high-voltage power distribution network in a functional grid and the electric energy-substituted load type. By the design, the remaining capacity of the electric energy-substituted matched power grid can be accurately estimated in an omnibearing way, and the method is simple and practical.

The invention provides a point-line-plane three-dimensional point-by-point well depth design method. The method includes: step one, carrying out tomography inversion on different offset sections by using old data of a work area to obtain a near-surface forward model; step two, designing forward modeling shallow seismic line acquisition parameters; step three, searching for a velocity correspondence relationship of an inversion model of a shallow seismic line for correction and carrying out correction; step four, searching for a velocity interface of exciting the lithostrome on based on the corrected shallow seismic line tomographic inversion model; step five, carrying out 1km*1km micrologging surveying on the work area, carrying out lithological layering layer by layer, and carrying out 3Dinterpolation to form a well depth design map; step six, carrying out same-parameter tomographic inversion on old data through a 3D work area and constraining and correcting a result in the step five; and step seven, 3D point-by-point excitation well depth designing and mapping of the work area old data and shallow seismic line tomographic inversion constraining. With the provided method, the rationality and accuracy of the mountain data excitation well depth design can be guaranteed effectively, so that the quality of seismic data collection is improved and the good foundation is laid for improving the imaging accuracy of prestack depth migration.

The invention relates to a park scenic spot vehicle dispatching method. The method comprises the steps that first, a park scenic spot vehicle dispatching platform is provided and used for a park in which tourists can only go to scenic spots and come back by vehicles, the dispatching platform is characterized by comprising a plurality of scenic spot people number detection systems and a computer control system, each scenic spot people number detection system is arranged at one scenic spot of the park and used for detecting the number of tourists at the corresponding scenic spot in real time, and the computer control system is connected with the scenic spot people number detection systems, and determines the number of vehicles which are additionally dispatched to each corresponding scenic spot on the basis of the received number of the tourists of the corresponding scenic spot; second, the platform is used for dispatching.

The invention discloses an antibacterial ecological board production and manufacturing quality detection and early warning system based on machine vision. The system comprises a board number acquisition module, a board structure information detection module, a board performance information detection module, a board basic information detection module, a board quality analysis module, a board quality early warning module and a database; according to the invention, the structure information, the performance information and the basic information corresponding to each antibacterial ecological board to be detected are detected and analyzed, so that the problem that the reference of the quality detection result of the antibacterial ecological board cannot be effectively improved due to the limitation of the detection content of the existing antibacterial ecological board quality detection early warning system is effectively solved; the accuracy of quality detection of the antibacterial ecological board is greatly improved, and meanwhile, the quality early warning efficiency of the antibacterial ecological board is also effectively improved.

The invention relates to a medical data processing method. The method comprises the following steps: inputting medical data through at least two data input channels; comparing the input medical data with standard data; and when a comparison result of the input medical data and the standard data exceeds a preset comparison condition, generating correction information for correcting the input by theuser until the comparison result meets the preset comparison condition. The task processing method based on the medical data comprises the steps that input tasks are distributed according to medicaloriginal medical record data; receiving submitted task completion information; and issuing an auditing task to judge a comparison result of the input medical data from each data input channel, and processing the input medical data according to the comparison result. According to the embodiments of the invention, sampling verification can be carried out on data collected by the intelligent data platform to ensure that target paths corresponding to a carrying process and a source are completely correct.

The invention relates to the technical field of information, and particularly relates to a student reverse sign-in system. The system comprises a student mobile phone terminal, a teacher mobile phoneterminal and a server; the server comprises a request forwarding module, a database, an analysis module, a processing module and an output module, wherein the request forwarding module is used for receiving a classroom roll call request sent by the teacher mobile phone terminal and forwarding the classroom roll call request to the student mobile phone terminal; the database is used for receiving and storing the passive sign-in information, the reverse sign-in information and the student personal information sent by the student mobile phone terminal; the analysis module is used for presetting sampling people number information, sequentially receiving passive sign-in time information and passive sign-in position information with the same number as the sampling people number information according to a time sequence, calculating the mode of the passive sign-in time information and the passive sign-in position information, and generating time reference information and position reference information. By adopting the scheme, the user satisfaction can be improved.

The invention provides an AC-DC hybrid receiving-end power grid structure optimization method, which comprises the steps of determining a to-be-optimized receiving-end power grid, and collecting and planning data of a reference year and a target year; preliminarily analyzing newly-built direct current drop points, types and access modes, and generating to-be-selected substations and line sets; establishing a two-layer structure optimization model of the AC / DC hybrid receiving end power grid; inputting different boundary conditions , adopting a Benders decomposition method to solve the structure optimization model to obtain candidate optimization schemes; and comprehensively evaluating the candidate optimization scheme by adopting a multi-level analysis method, and determining a final structure optimization scheme. According to the method, the scientificity of a power grid structure planning scheme can be improved, and coordination of safety, stability, energy consumption and economic targets is realized.