87results about How to "Reflect the real situation" patented technology

The invention provides a method and device for determining the interest degree of a user in an article, machine equipment and a computer readable storage medium. The method comprises the steps of obtaining classification behavior information representation of each classification behavior of a target user according to classification of the behaviors of the target user; obtaining an information representation of the candidate item; and determining the interest degree of the target user in the candidate article according to the classification behavior information representation of the classification behavior of the target user and the information representation of the candidate article. Through the embodiment of the invention, the determined interest degree can be closer to the real conditionof the user.

The invention discloses an eye fundus image structure segmentation method based on full convolution neural network. The method comprises the steps of firstly marking the macula, optic disc and optic cup of each fundus image sample, and generating the corresponding target result map of each fundus image sample; then using each fundus image sample and corresponding target result map as a pair of training image samples to obtain the training image sample set; using the training image sample set to train the full convolution neural network, and inputting the fundus image to be segmented to the full convolution neural network to get the corresponding target result map; then using the K-means clustering and ellipse fitting to get the segmentation result. The method of the invention can improve the precision of the fundus image segmentation and better distinguish the normal physiological structure of the fundus.

The invention discloses a load characteristics comprehensive classification method based on Markov Monte Carlo. The method includes the following steps: finding the voltage drop time point, carrying out load dynamic characteristics extraction and classification at the disturbance moment corresponding to the voltage drop time point; judging whether the change between the load classifications has a Markov property or not; dividing all data into uniform segments by time; establishing Markov chain's probability transfer matrix based on the maximum likelihood thought for each data segment; judging whether the numerical characteristics are changed or not: if no, go to step V; if yes, carrying out clustering on the load data in the time segment according to the numerical characteristics corresponding to the matrix, and obtaining the probability transfer matrix of the load data with changed numerical characteristics in each time segment ; carrying out Markov Monte Carlo simulation and describing the load change situation; processing the sequence reflecting the load classification conversion using the Hidden Markov Model (HMM). The method provided by the invention improves the Markov chain Monte Carlo simulation and effectively reduces the possibility of the matrix entering the stable state after iteration.

The invention, which belongs to the technical field of electric communication, relates to a received signal strength indicator (RSSI)-based method for positioning wireless sensor network node. The invention is characterized in that: according to the method, an actual measured value is utilized and a piecewise linear fitting method is employed, a relation model of a propagation loss and a transmission distance is established, wherein the reality is edged in by a piecewise straight line; and then the obtained relation model is used to make a positioning calculation. With utilization of the method, the real condition of the environment can be reflected effectively, and the high positioning precision is allowed by using a few test points. The RSSI-based method for positioning the wireless sensor network node provided in the invention has high practicality, and is suitable for a two-dimensional positioning environment of an outdoor flattening open field. The RSSI-based method for positioning the wireless sensor network node provided in the invention has wide application prospect.

The invention discloses a remote system for monitoring water quality parameters through cellular wireless communication. The remote system comprises a plurality of information collection terminals, a gateway, a WEB server, a database and a monitoring terminal, wherein the plurality of information collection terminals are distributed in a cellular shape and used for sending a plurality of collected water quality data to the gateway through a ZIGBEE (Zigbee) network; the gateway is used for receiving the water quality data and sending the water quality data to the WEB server through an internet protocol; the WEB server is used for carrying out centralized processing and analysis on the water quality data of each information collection terminal, obtaining result data and saving the result data in the database; the monitoring terminal is communicated with the WEB server through the internet protocol and used for observing the result data in the WEB server. The structure of the remote system comprises the cellular collection terminals, the gateway and the server which are auxiliary to each other, so that the simplicity and stability of processes of operating, collecting data, processing data, displaying web interfaces and monitoring clients and the like of the overall system can be realized.

According to the invention, a mode in which a power electronic converter and an impedance conversion unit are in series connection is employed; the power electronic converter employs a high voltage frequency converter scheme, so that a voltage sag type, voltage sag duration, a voltage sag depth and a voltage sag phase can be effectively controlled; and the impedance conversion unit employs a scheme in which stepping switching is carried out on a combined reactor, so that simulation on a power grid voltage, a phase, a frequency and an impedance characteristic during a power grid voltage sagging process is realized and a real situation of the power grid voltage sagging process can be reflected. Moreover, according to the invention, a problem that a real situation of a power grid voltage sagging process can not be accurately simulated without considering changes of a voltage phase and an impedance during the power grid voltage sagging process in the power electronic converter method can be solved, so that real simulation on transient characteristics of the voltage, the phase, the frequency and the impedance of the power grid during the power grid voltage sagging process is realized and a real situation of the power grid voltage sagging process is reflected; besides, a virtual impedance control technology is introduced into the power electronic converter, so that no influence is exerted on a voltages of a grid-connected point when the voltage is sagged.

The invention discloses a conveyer belt troughability test method and apparatus. The apparatus comprises multiple trough carrying roller groups arranged along the direction of a conveyer belt sample, each trough carrying roller group comprises three to five carrying rollers, two of the five carrying rollers are edge carrying rollers, and the other three are middle carrying rollers, the axis of each carrying roller is vertical to the direction of the conveyer belt sample, and each carrying roller, under the driving of a supporting frame, can translate along the direction of the conveyer belt sample and can also translate and rotate in a plane vertical to the direction; the carrying rollers are connected with carrying roller seats, and the carrying roller seats are connected with the signal input ends of sensors; and the signal output ends of the sensors are connected with a signal conditioning and data acquisition facility, and the signal conditioning and data acquisition facility communicates with a computer. According to the invention, the test results are closer to actual conditions, the description is more meticulous, and the method and apparatus have quite important guidance significance on design and production.

The invention provides a comprehensive traffic service evaluation method and device based on individual travel chains. The comprehensive traffic service evaluation method based on individual travel chains mainly comprises the steps: acquiring travel data of the individual travel chains of a plurality of tested objects; grading each individual trip chain according to the trip data through a presetevaluation index; and calculating a traffic service index of the preset area according to the levels and the number of the individual travel chains in the preset area. By implementing the comprehensive traffic service evaluation method, the traffic service is evaluated based on the individual travel chain; starting from the perspective of travelers, the travel experience of the traveler is fully considered, and the travel chain of the traveler is composed of a plurality of travel modes; and by taking the individual travel chain as a research object, the cooperative operation and service capability of urban comprehensive passenger transport can be reflected, and the evaluation result of evaluating the traffic service quality in such a way can more truly reflect the travel condition of travelers and better meet the actual requirements of travelers.

The invention discloses a method for quickly identifying waterlogging resistance of eggplant. According to the seedling phenotypic changes, the eggplant is divided into a strong level, a medium level and a weak level in waterlogging resistance; according to two evaluation indexes of leaf color and shedding and the stalk morphology, the eggplant is quantified and classified and grade scoring criteria is set; according to the average score of each material to calculate the average membership function value, the comprehensive evaluation of waterlogging resistance is performed and an evaluation system is set up. The waterlogging resistance membership function value is used for comprehensively evaluating the waterlogging resistance of plants and the evaluation results are closer to reality. According to the method of the invention, the waterlogging resistance of eggplant can be simply, quickly and accurately obtained through the waterlogging form score average membership function values.

Provided is a recovery and tracing method for missing data of daily electric quantity. The method comprises the following steps: acquiring user information and electric energy meter information and monthly electric quantity data thereof; obtaining daily electric quantity data of each user according to a daily electric quantity rule; examining daily electric quantity in each month and finding out the daily electric quantity which needs to be recovered in each month; adopting two multiple-imputation models based on different algorithms to recover the daily electric quantity which needs to be recovered in each month and obtaining a recovery data set; and comparing obtained daily monthly electric quantities of users with monthly electric quantities corresponding to the recovery data set and taking the recovery data set with the minimal deviation ratio as a best result set. The recovery and tracing method for missing data of daily electric quantity has the following advantages: by recovering missing value of daily electric quantity, data quality of daily electric quantity is improved, which truly reflects the real condition of daily electric quantity of each user; the method provides areal and reliable data base for the study related to electricity utilization behaviors of users; and data is recovered by the two multiple-imputation models based on the different algorithms so that accuracy of data recovery is improved.

The invention discloses a method and device for establishing a boiler combustion process model by utilizing a Bayesian network algorithm, and belongs to the technical field of energy power. The method comprises the following steps: setting an input variable and an output variable of the boiler combustion process model; establishing a Bayesian network structure of the input variable and the output variable according to a causal relationship between the input variable and the output variable; acquiring historical sample data of boiler combustion; carrying out offline learning on the boiler combustion process model by using the historical sample data of the boiler combustion so as to obtain a conditional probability relationship parameter between the input variable and the output variable in the Bayesian network structure; and determining the boiler combustion process model according to the conditional probability relationship parameter between the input variable and the output variable in the Bayesian network structure. The device comprises a setting module, an establishing module, an acquisition module, an offline learning module and a determining module. The method and device disclosed in the invention are capable of improving the precision of the established boiler combustion process model, and can be adapted to the complicated changeable working conditions in the power plant production.

The invention provides a kit for quantitatively detecting UCHL-1, and application thereof, and belongs to the technical field of biological detection. The kit is composed of a detection reagent strip, a calibration product, a quality control product and a two-dimensional code; the detection reagent strip comprises a reagent A and a reagent B; the reagent A is a solution prepared by taking an enzyme-labeled UCHL-1 antibody conjugate as a raw material and fully and uniformly mixing the enzyme-labeled UCHL-1 antibody conjugate with a buffer solution B; and the reagent B is a solution prepared by taking a UCHL-1 antibody magnetic particle conjugate as a raw material and fully and uniformly mixing the UCHL-1 antibody magnetic particle conjugate by using a buffer solution C. In the implementation process, the specific components of the buffer solution B and the buffer solution C and the mass ratio of the components are controlled, so the research on indexes such as appearance, accuracy, blank limit, detection limit, quantification limit, linearity, repeatability, difference between calibration product and quality control product bottles and the like of the prepared kit meets the requirements, the kit is verified to be qualified on a full-automatic chemiluminescence immunoassay analyzer, and the measurement result meets the enterprise standard requirements.

The invention provides a method and system for judging the network quality. The method includes the steps of judging whether statistic is carried out on S-TMSIs carried in RRC connection request information made by UE or not; if the statistics is not carried out on the S-TMSIs carried in the RRC connection request information made by the UE, updating the statistic value of the number of times of RRC connection requests on the network side, and updating the statistic value of the number of times of successful RRC building on the network side, the statistic value of the number of times of failed RRC building on the network side or the statistic value of the number of times of overtime RRC building on the network side according to the access result of the UE; if the statistics is carried out on the S-TMSIs carried in the RRC connection request information made by the UE, maintaining the statistic value, of the number of the times of the RRC connection requests, recorded on the network side, and updating the statistic value of the number of the times of successful RRC building on the network side or maintaining the statistic value of the number of the times of failed RRC building or the statistic value of the number of the times of overtime RRC building according to the access result of the UE; obtaining key performance indicator parameters according to the statistic value of the number of the times of successful RRC building on the network side, the statistic value of the number of the times of failed RRC building on the network side, the statistic value of the number of the times of overtime RRC building on the network side and the statistic value of the number of the times of the RRC connection requests; judging the network quality according to the key performance indicator parameters.

The invention discloses a three-dimensional imaging method and system for ground surface comprehensive geophysical prospecting. The method comprises the following steps of: acquiring detection data ofa plurality of two-dimensional sections of a ground surface detection site; performing geophysical inversion on the detection data to form two-dimensional profile resistivity data; performing three-dimensional coordinate conversion on the two-dimensional profile resistivity data to obtain resistivity data of a three-dimensional coordinate system; and converting the resistivity data of the three-dimensional coordinate system into a three-dimensional model by utilizing a Kriging interpolation method.

The invention discloses an individual dustproof respirator efficiency test experiment device and method, and relates to the technical field of pneumoconiosis prevention and treatment. The experiment device comprises two animal experiment cavities, a connecting pipe and a humanoid respiration simulator, wherein the two animal experiment chambers are a first experiment chamber and a second experiment chamber respectively, and a dust production system is arranged in the first experiment chamber; an individual dustproof respirator filter material is arranged in the connecting pipe and used for filtering dusty airflow flowing through the connecting pipe. The influence of dust on the lung health of a mouse and the dustproof effect of an individual dustproof respirator can be displayed more accurately and visually; experimental results are presented by comparing lung anatomy and pathological sections of the mouse, so that strong visual impact is caused to people, and a greater warning effectis achieved; and meanwhile, in the experiment process, according to the fact that the respiration of the human body is more similar to sinusoidal circulation flow, the accurate simulation of the respiration of the worker during operation is realized by utilizing the humanoid respiration simulator technology, and the experiment result is more accurate.

The invention provides a water control and fertilizer control method for eucalyptus seedlings. By selecting proper root control devices used as potting contains and manufacturing special potting bottoms, root systems are prevented from penetrating into soil via the bottoms and soil steam is prevented from infiltrating into soil in the root control device containers to influence manual control conditions; effective water resistance, water control and nutrient control are realized through the technical means of white and black films and on-pipe type pressure compensation drippers; the volumetric water content of soil moisture can be rapidly measured by using a TDR 300 soil moisture analyzer, and the volumetric water content can better reflect the actual soil moisture content. The water control and fertilizer control method for eucalyptus seedlings can provide a complicated growth environment for the cultivation of eucalyptus seedlings; by combining the effective control of moisture and nutrients, the method realizes effective adjustment of the physiology of nursery stocks; the water and fertilizer coupling physiological effect of the nursery stocks can be further known, and primal parents of eucalyptus capable of adapting to complicated environment can be bred.

The invention provides a nuclear power device requirement failure probability evaluation method. The method includes the following steps: counting an accumulative requirement times Nd and an accumulative requirement failure times Nf of an objective device; obtaining prior parameters [alpha] and [beta] of the objective device; on the basis of the prior parameters [alpha] and [beta] and Nd and Nf, computing posterior parameters [alpha]1 and [beta]1, and a posterior mean [gamma]1; based on the prior parameters [alpha] and [beta] and Nd and Nf, separately computing a requirement failure probability P1 of a confidence upper limit of a first set threshold and a requirement failure probability P2 of a confidence lower limit of a second set threshold of the objective device; on the basis of the P1 and P2, computing an error factor; computing a variance V; and computing a requirement failure probability Pmed of the objective device in median. The invention also provides a nuclear power device requirement failure probability evaluation system. According to the invention, the method can accurately reflect the actual situation of operation device at a nuclear power station, and can effectively help workers to evaluate and predict the stability and reliability of operation devices.

The invention belongs to the technical field of bioinformatics and particularly discloses a method of screening multiple sclerosis biomarkers. The method includes: acquiring a data set GSE21942 from an GEO database, and subjecting a sample to MAS5 standardization by a GPL570 platform; removing x or y gene expressions invariable according to a formula: (|(x(i)+y(i))/(x(j)+y(j))-1|(delta(i, j=1, 2,..., N), and screening out mutually inhibiting gene pairs (x, y) to obtain a multiple sclerosis biomarker. Delta refers to degree of approximation between genes x and y, and is 0.08 in experiments; x(i) refers to gene expression quantity of the i-th sample of the gene x; y(i) refers to gene expression quantity of the i-th sample of the gene y. The mutually inhibiting gene pairs in mononuclear cells in peripheral blood of both normal people and MS patients to obtain the multiple sclerosis biomarker; by applying the screened multiple sclerosis biomarker in the study and analysis of biological significance, real conditions of the patients can be indicated.

The embodiment of the invention discloses a holographic detection device for gas content in a GIS switch, which comprises a laser and a data processing system; the laser comprises a laser emitter and a laser receiver; the laser emitter and the laser receiver are fixed at a sampling port of the GIS switch through flanges, and are connected with the data processing system through optical cable. The embodiment of the invention also discloses a holographic detection method for gas content in a GIS switch, which comprises the following steps: emitting a laser beam into the inside of a GIS switch; receiving the laser beam from the inside of the GIS switch; calculating the hydrogen fluoride gas content inside the GIS switch based on the light intensity of the emitted laser beam and the light intensity of the received laser beam. In the embodiment of the invention, the laser beam runs through the inside of the GIS switch, so the detection results have less error, and can reflect the real condition of the inside of the GIS switch.

The invention relates to a coal petrographic analysis test and graph processing method. The method adopts a digital coal petrographic analyzer to determine the vitrinite reflectance of coal, and according to the final graphics, deletes the scattered part that has a percentage content close to 0, smooth image and rising peak and is affected by interfering components, thus ensuring that the determined graph reflects the true components of coal. Compared with the prior art, the method provided by the invention can truly reflect the quality of coal provided by a supplier, more objectively reflect the real situation of coal so as to better serve coking and iron-making production, meets the fined large-scale production needs of companies, and provides more real and accurate data.

The invention discloses a dynamic prediction method for multisource gas emission quantity of a fully mechanized caving face. The dynamic prediction method comprises the steps of confirming types of gas emission sources according to geology and exploitation conditions of the fully mechanized caving face; acquiring gas emission prediction reference data of the fully mechanized caving face; calculating mechanical mining coal gas emission quantity; calculating putting coal gas emission quantity; calculating goaf gas emission quantity; calculating coal wall gas emission quantity; and calculating caving face gas emission total quantity. The dynamic prediction method is aimed at a fully mechanized caving face exploitation technology, key dynamic parameters affecting gas emission are considered, and the gas emission condition of the fully mechanized caving face is reflected more really and comprehensively, so that all-source gas emission quantity acquired according to the dynamic prediction method is relatively accurate, limitation of a conventional fully mechanized caving face gas emission quantity is solved, prediction accuracy of gas emission quantity of the fully mechanized caving faceis improved.

The invention relates to the technical field of power supply control, in particular to a storage battery capacity control system of a rail transit vehicle-mounted power system. The system comprises astorage battery, a vehicle-mounted charger, a battery management system and a standard resistor. The vehicle-mounted charger is correspondingly connected with a positive electrode and a negative electrode of the storage battery; the standard resistor is connected in series between the positive electrode end of the storage battery and the positive electrode end of the vehicle-mounted charger; a signal acquisition terminal of the battery management system is connected with the two ends of the standard resistor respectively; the positive electrode end of the storage battery is connected with thepositive electrode end of the vehicle-mounted load through the standard resistor; and the output terminal of the battery management system is connected with a PLC control terminal of the vehicle-mounted charger. According to the invention, the real condition of the storage battery can be correctly reflected in real time, so that the charging and discharging of the storage battery can be controlled, the over-discharge of the storage battery can be protected, and the advanced failure of the storage battery can be avoided.