123results about How to "Reasonable assessment" patented technology

The invention relates to an evaluating system and method for community influence in a social network. The method comprises the steps that a social network chart with social network users as nodes and user relationships as sides is built; according to the social network chart, the community structure of the social network is obtained by carrying out community division through the label propagation algorithm; according to the social network chart and matrixes which communities belong to, the parameter of the community influence is calculated, and the initial influence of each community is generated; according to the transmission probability model of the influence, an influence transmission probability matrix is generated; according to the influence transmission probability matrix and the community influence iterative computation model, the community influence is iterated and upgraded until the iteration end condition is met, the influence value of each community is obtained, and the sequence of the community influence, namely, the influence estimation result of each community in the social network is obtained after normalization. The system and method can effectively analyze the distribution of the community influence in the social network and can be used for high-influence community mining, thereby being capable of being applied to the fields of network marketing and the like.

The invention relates to the field of expansion planning and safety analysis on electrical power systems. In order to provide a systematized method and a relatively perfect assessment process for the safety assessment on a planning scheme, the technical scheme adopted by the invention is as follows: a method for assessing a safety value of a planning scheme for an electrical power system containing large-scale wind power comprises the following steps: 1, establishing a power supply-power grid unified planning model for taking account of static and dynamic safety values of the system; 2, beginning to carry out detailed operation simulation on candidate planning schemes; 3, after units are combined, carrying out safety assessment on the system time interval by time interval; 4, carrying out comprehensive safety control optimization on an contingency set by using a 'positive constraint and relaxation method' so as to obtain the optimal division of a preventive control contingency set and an emergency control contingency set; and 5, obtaining the total cost of the planning scheme, and taking the total cost as a basis for evaluating the planning scheme. The method disclosed by the invention is mainly applied to the expansion planning and safety analysis on the electrical power systems.

The invention relates to a method for measuring the optical gyroscope on line by the integrating optical modulator, and the measuring system comprises optical fiber interference circuits, a high-precision stable light source, a light-sensitive detector, a head amplifier, the controlling section of modem, the high precision square wave, a step wave generator and the adjustment. The method comprises the following steps: a) injecting the light source to the Y waveguide modulator after coupling, measuring the depletion, light splitting proportion of the device according to the input and output parameter; b) coupling the Y waveguide modulator with the interometer, applying the manual step wave and square wave signals to the device to be measured; c) outputting the electric signal after interference by the signal mediating system, measuring the dynamic response feature quantificationally through the slope of the reset curve which is formed after the device responses to the step wave.

The invention discloses a tailing pond layered index safety assessment and early-warning method and system. The method comprises the steps that a three-level safety index system is built, wherein the three-level safety index system comprises four second-level indexes which are the stockpiling system, a drainage system, a risk system and a management system and fifteen three-level indexes which are the pond water level, the rainfall capacity and the like; a tailing pond safety assessment model is built, and the safety index system is utilized for assessing the overall safety state of a tailing pond; a tailing pond safety early-warning model is built, and early-warning judgment is carried out; the safety early-warning model comprehensively figures out a dynamic change curve of the future pond water level in the flood season by means of data collected in real time and weather forecast information transmitted by the network, the data collected in real time and measured by the safety assessment model to carry out comprehensive safety assessment and evaluation on the tailing pond, dangerous trend classification is carried out according to assessment, then the classification information is put into a pond water level-dam break model, the dam break risk is comprehensively calculated according to the classification information and a predicted pond water level value, and early-warning judgment is carried out according to the risk. The early-warning effect is accurate, reasonable and comprehensive.

The invention discloses a county-level crop planting area remote sensing statistic sampling survey scheme design method. Multi-period up-to-date GF-1 16-meter-width images are adopted as a data source; a decision tree classification method is constructed to perform automatic interpretation, so that the spatial distribution condition of crops in a research area can be obtained; with the spatial distribution data of the crops adopted as a sampling population, on the basis of the arable land area and crop planting scale of the research area, a PPS sampling method is adopted to select a general survey region; various sample unit sizes and various sample unit quantities are designed in the selected general survey region, the quadrat unit sizes, quadrat sample unit quantities, sampling methods and calculation methods are combined randomly, the calculation results of the statistic sampling survey schemes of different combinations are compared with the planting area of target crops which is obtained through the data interpretation of GF-2 0.8-meter-resolution images; and analysis is performed according to the overall sampling accuracy, sampling stability and minimum sample capacity of result data, and a remote sensing statistic sampling survey scheme most suitable for the target crops of the research area can be obtained.

The invention relates to a method for evaluating the interferences of different systems to a terminal, which comprises the steps of evaluating spurious interference, intermodulation interference and adjacent channel interference generated by each RRU base-station transmitter; evaluating the interferences of the different systems to the terminal of each RRU base station transmitter according to the spurious interference, the intermodulation interference and the adjacent channel interference; and evaluating the interferences of the different systems to the terminal of all the RRU base station transmitters according to the interferences of the different systems to the terminal of each RRU base station transmitter. Meanwhile, the invention further provides the method for evaluating the comprehensive interferences to the terminal, which comprises the interferences of the system and the interferences of the different systems. The use of the method can better evaluate the interferences of the base station transmitters of a multi-mold system to the terminal.

The invention discloses a power system transient stability assessment method based on big data, and the method comprises two stages: sample training and result evaluation. The sample training stage comprises the steps: carrying out the centralized training and learning of ELMs through employing big data of a power system, and also completing the confirmation of each transient stability characteristic quantity weight parameter. The result evaluation stage comprises the steps: firstly building a transient stability key characteristic library; secondly extracting key characteristics in current real-time data, and transmitting the key characteristics to a trained EMLs; finally carrying out the comprehensive analysis of the output result of the EMLs through a decision evaluation module, and giving a transient stability assessment result and the confidence of the current result. The method takes big data as the background, is based on the reasonable dimension reduction and complete use of mass data of a power grid, is based on a learning machine cluster, and meets the requirements of complete and real-time safety early warning of an intelligent power grid.

The invention provides a multitask multirole remote operated vehicle (ROV) cooperative training simulating system. A server stores, arranges, and invokes all kinds of data packets to comprehensively present various all kinds of data in a dynamic simulation manner, provide real-time simulation scenarios and present on-site demonstration of ROV states for training personnel, continuously receive instructions inputted by the training personnel, process the instructions, store the processed instructions as new simulation data, and compare the new simulation data with historical simulation data toprovide optimal operation indications in real time for the training personnel; a monitoring management end monitors an operation process of a whole training system, and performs optimization and management for the server; and a control panel terminal trains the personnel to receive three-dimensional simulation scenarios by a combined display and real-time state information of an operated and controlled ROV, and perform actual manipulation to an ROV and configuration tools thereof in a virtual scenario through a rocker device, a speed adjusting device and an operation handle device. The multitask multirole ROV cooperative training simulating system can accurately evaluate a training result, record a training process, and reasonably evaluate all completion key points and cooperation key points.

The invention provides a swimming stroke recognition method based on a smart band and a sports plan based on the smart band. Four normal swimming strokes of freestyle swimming, breaststroke, backstroke and butterfly stroke can be recognized. On the basis of a bayesian classification algorithm, according to different types of swimming stroke and physical quantities detected by the smart band, a swimming stroke recognition method is established, and moreover, with the combination of the sports time detected by the smart band and physical quantities such as the pulse beat, a sports plane including functional capacity evaluation is provided. By adopting the swimming stroke recognition method, high-standard requirements of people on healthy sports can be met.

The invention discloses a modern transmission network false data attack defense method based on a protection measurement point in the field of information security research of a power system. The method provided by the invention comprises the steps that a false data attack vector optimization model is constructed based on a traditional power system state estimation theory; according to the optimization model, a false data attack defense measure based on indexes Vk and Rk is provided; the basic idea is to reduce the number of vulnerable nodes vulnerable to attacks in the power system and to enhance the overall ability to deal with false data attacks; and according to an importance index Ik, the defense measure is realized, namely the target of the optimization indexes Vk and Rk is realized by protecting a high measurement point of the importance index Ik. According to the invention, the important measurement point is protected to effectively improve the attack cost and the attack difficulty of an attacker.

A device for measuring the optical ring of gyroscope on-line modularity, including circuit conciliating modular, light leading-in modular, optical ring modular, the light leading-in modular provides the power and steady polarizing coherent light for the optical ring, transmits the optical interference signal to the electrical signal and exports to the circuit conciliating modular which connected with the light leading-in modular through the electric cable, which can measure, control and output the signal of the whole optical path, the measured optical ring modular is connected with the output end of the light leading-in modular through two pigtail optical fiber being protected, The measurement of the optical ring is in the actual condition of the optical gyroscope and the output and input are identical with the actual use, it not only tests the parameter of the optical ring such as depletion and reciprocity but also tests the system response in the temperature, impact and vibration.

The invention discloses a cloud platform security situation awareness method. The cloud platform security situation awareness method comprises the steps of 1) selecting a plurality of basic evaluation points and determining a quantized value of each basic evaluation point; and selecting a plurality of floating evaluation points and determining an initial value of each floating evaluation point; 2) updating the quantized value of each floating evaluation point periodically based on collected cloud platform information, wherein the quantized value of each floating evaluation point in the current period is updated based on the evaluation value of each floating evaluation points in the previous period and a security floating factor in the current period; 3) dividing the cloud platform into a plurality of security layers, fusing the quantized values of the evaluation points belonging to the same security layer to obtain an evaluation value C of the security layer, wherein the evaluation points include the basic evaluation points and the floating evaluation points; and 4) calculating a security evaluation result Q of the cloud platform based on the evaluation value of each security layer of the cloud platform and determining the security situation of the cloud platform. According to the cloud platform security situation awareness method, the security situation of the whole cloud platform can be monitored and evaluated, the operation is simple and convenient, and high security and reliability are achieved.

The invention belongs to the technical field of transmission line icing risk assessment, in particular to a transmission line icing risk assessment method. The method comprises the following steps: according to the possible influence degree, influence range and development trend of transmission line icing event, the transmission line icing state risk grade is divided into five grades according tothe ice thickness range; the final risk assessment indexes are extracted from meteorological factors, environmental factors and route parameters, and the route icing risk assessment index system is established. Consistency and dimensionless pretreatment of indicators; determining the Weighted Standardized Decision Matrix by Entropy Weight Method; the TOPSIS method is used to determine the positiveand negative ideal solutions of weighted standardized decision matrices. The matter-element extension method is used to divide the positive and negative ideal solution intervals and calculate the closeness degree. Calculating the eigenvalue, dividing the grade of each evaluation scheme, and judging the grade of the evaluation object. The invention is used for evaluating the icing risk of transmission lines and provides support for the risk management work of the power grid management department.

The invention discloses a credit control prompting method and device and relates to the technical field of credit control. The method includes the following steps: the account information of users isobtained, whether the users are credit monitoring objects or not is judged, the contrast threshold is obtained according to the overdue sum monitoring range, contrast is performed according to the preset threshold and the arrearage quota to judge whether the user are in arrearage or not, grade assessment and credit prompting are performed on the users, and the credit grade is generated according to the contrast result of the arrearage quota and the preset threshold. Through accessing an information input interface module and an information output interface module to the credit control prompting device, the credit grade assessment model database of different users is established and the preset threshold model database matching the account information of the users, different monitoring plansare adopted for different users, the user payment reminder message and the credit prompting information are transmitted to the clients through various forms and devices of the Ethernet, and the credit control prompting speed and the diversity of the mode and platform of the arrearage and credit information pushing are improved.

The invention discloses a key node and influence domain analysis method for a power communication network, and the method comprises the steps: building a communication channel reliability model of communication interruption according to components of communication equipment in the power communication network and a safety and stability control device; analyzing the probability of communication service caused by high delay of the communication channel, and establishing a communication channel reliability model based on communication channel delay probability distribution; establishing a system protection communication channel reliability model comprehensively considering communication interruption and communication delay, acquiring the subjective weight of each index of the communication service through an analytic hierarchy process, and obtaining the objective weight of each index through an entropy weight method; obtaining a comprehensive weight according to the subjective weight and the objective weight, and determining the importance of each node and the communication link according to the importance of each index and the corresponding comprehensive weight; and obtaining the influence domains of the communication link and the communication node through an influence domain analysis method of the communication node and the communication link. According to the invention, the reliability of the communication channel of the power communication network can be evaluated more accurately.