1909results about How to "Guaranteed reasonableness" patented technology

The invention provides a concrete pump truck intelligent arm support control system and a control method thereof. The control system comprises an arm support, a controller, an operating device and an actuator. The control system is characterized in that the control system also comprises an arm support detecting device which is used for detecting the spatial location of each segment of the arm support and transmitting detected spatial location signals of each segment of the arm support to the controller. The control method comprises: the construction of an arm support coordinate system; the detection of the current arm support position; the control of the actions of the arm support. In the concrete pump truck intelligent arm support control system, an operator is not required to manually regulate the position the gyratory angle of each segment of the arm support, the pouring accuracy and the operational reasonability are guaranteed, and the construction efficiency and the whole service life of the truck are improved greatly; within the stress impact allowable range and on the basis of the consideration of the concrete fluidity, coordinated actions of a plurality of segments of the arm support are realized; simultaneously, during the controlling process, extreme conditions and unreasonable operations of the movements of a plurality of the segments of the arm support are limited, the labor intensity and the experience requirement of the operator are alleviated greatly, and influences of unreasonable operations on the arm support structure and the service life of a hydraulic system are avoided.

The invention discloses a third-party authentication security protection system and a third-party authentication security protection method based on the online security protection of an electronic evidence and relates to an information processing technology of a computer. The method comprises the following steps that: after sending a security protection request to a server side, a client side generates a Hash value associated with electronic data which is subjected to security protection and transmits the Hash value to the server side for storage; the client side sends an authentication security protection request, and the server side compares a client side Hash value which is stored in the system with the Hash value which is transmitted by the client side to judge whether the security protection behaviors of the client side are objective and real; communication between the client side and the server side is encrypted by using a secure cryptographic algorithm; the server side carries out association processing on all Hash values in the system to ensure that the Hash value which is stored in the server side and associated with the electronic data cannot be falsified; and when the used cryptographic algorithm is decoded, the client side applies for updating of security protection, and carries out security protection processing on data to be required for security protection and result data generated by the last security protection application again so as to ensure the continuous security of the system.

The present disclosure relates to an information transmission method, which is applicable to a user equipment, the method includes: when a beam failure recovery procedure is initiated for a first cell, a random access is initiated to a base station by a second cell, where the second cell is the first cell or another cell other than the first cell; if the number of times of the random access is upto a preset number of times and the random access is not completed, to a base station, the indication information is used to indicate the reason why the problem exists in the cell group and the reasonis a failure of the random access caused by the initiation of the beam failure recovery process. According to the embodiment of the present disclosure, the reason that the indication of the cell group indicates that the cell group has a problem is the failure of the random access caused by the beam failure recovery process, so that the base station can define the reason for the random access failure to ensure that the subsequent configuration of the base station is reasonable.

The invention provides an actual-measurement modeling method for a prime mover and a speed governor thereof of an electric power system, belonging to the technical field of electric power systems. The invention solves the problem that the traditional prime mover and the speed governor thereof generate larger bias of a simulated calculation result due to the use of a typical model and typical parameters. The actual-measurement modeling method for the prime mover and the speed governor thereof of the electric power system comprises the following steps of: (1) collecting data; (2) establishing mathematical models of the prime mover and the speed governor thereof; (3) carrying out model selection; (4) carrying out segmented field testing on the prime mover and the speed governor thereof; (5) carrying out segmented parameter recognization to obtain parameters of each segment; (6) screening data before the population parameters are recognized; (7) carrying out population parameter recognization; (8) carrying out model parameter verification; (9) carrying out frequency large-disturbance testing; and (10) carrying out model parameter verification. By means of the actual-measurement modeling method, the models and the parameters can be ensured to be accurately applied to BPA (Bonneviklle Power Administration), PSS / E (Power System Simulator / Engineering) electric power system analysis software, and the electric power system simulation precision is improved.

The invention discloses a rotation control method of an electrochemical air conditioning system. The electrochemical air conditioning system comprises an electrochemical hydrogen pump, a first heat exchange part, a second heat exchange part and a rotating disc; and the first heat exchange part, the second heat exchange part and the electrochemical hydrogen pump are arranged on the rotating disc, and rotate along with the rotating disc. The rotation control method comprises the following steps: an electrochemical air conditioner is controlled to operate; operation parameters of the electrochemical air conditioner are detected; and when the operation parameters of the electrochemical air conditioner satisfy set conditions, the rotating disc is controlled to rotate, so that the first heat exchange part is positioned indoors and the second heat exchange part is positioned outdoors, or the first heat exchange part is positioned outdoors or the second heat exchange part is positioned indoors. The rotation control method of the electrochemical air conditioning system can solve the problems of higher loss of heat and cold and lower efficiency and reliability in continuous switching of heat absorbing and releasing states of a metal hydride refrigeration system in the prior art.

The invention discloses a diagnostic method for a vehicle condition, and belongs to the field of automobile fault diagnosis. The method comprises that: a vehicle condition diagnosis and analysis model of a remote diagnostic center is built; Bluetooth connection between a terminal of a vehicle and on-board diagnostics-II (OBD-II) is built, OBD-II vehicle data are collected; the terminal sends the collected vehicle data according to a preset frequency to the remote diagnostic center through general packet radio service (GPRS); the remote diagnostic center is based on the vehicle data and the diagnosis and analysis model, according to the choice of a user, the vehicle condition is diagnosed according to an instant diagnostic mode or a month diagnostic mode. The diagnostic method for the vehicle condition solves the problems that the prior diagnostic method relies on professional equipment, diagnostic data are limited, and comprehensive diagnosis data banks are lacking.

The invention opens a data mining system based on Web, which mainly includes EJB server, Web server and database etc. The EJB server provides the interface between Web server and EJB layer, and implemented various data mining algorithms for different data and data mining tasks. The Web layer provides a user interactive interface to receive user inputs and display results of data mining and analysis. The system consists of several modules: authentication module, initialization module, data connection module, data visualization module, data pre-processing module, mining module, mining data indication module. The system provides on-line internet based data mining and result analysis services.

The invention relates to the technical field of ship collision avoidance, in particular to a method for detecting the degree of risk of ship collision on the basis of an evidential reasoning theory, wherein the method is used for assisting ship drivers in making decisions and guaranteeing safe navigation of ships. The method for detecting the degree of risk of ship collision includes the steps that dynamic data of navigation of threatening ships are acquired through an automatic identification system (AIS) of a ship, values of influential factors are calculated, subjection degree values of all the factors are calculated, weights are allocated to five factors through a hierarchical classification method, and confidence coefficient values of all the factors on the corresponding evaluation levels are calculated; confidence coefficient vectors of the threatening ships on the evaluation levels are calculated; degrees of threat of the threatening ships are crystallized, and CRI values of the threatening ships are obtained; the obtained CRI values are output and displayed on a comprehensive ship display system. According to the method for detecting the degree of risk of ship collision, while the uncertainty of obtained data of the threatening ships and the uncertainty of expert experience are fully considered, the degrees of threat of the threatening ships to the current ship are reasonably evaluated through superiority of the evidential reasoning theory for representing and fusing uncertain information.

The invention discloses a method for obtaining the energy loss analysis parameter answer value of a furnace of a thermal power set, which comprises the following steps of: building a furnace operation characteristic neural network teaching model with a neural network technology according to furnace operation history working condition data; optimizing the air distribution coal distribution combustion operation parameter of each history working condition of the furnace by taking the highest furnace efficiency as an optimal target through a genetic algorithm optimization technology according to the model; comparing the air distribution coal distribution combustion operation parameter of each history working condition with the corresponding optimizing value, and if the difference therebetween is within a given range, marking the corresponding working condition as an 'optimization working condition'; building a computation model of the exhaust gas temperature, the exhaust gas oxygen quantity and the fly ash carbon content answer value of the furnace by taking the history working condition data which is marked as the 'optimization working condition' as a sample; and being capable of computing the exhaust gas temperature, the exhaust gas oxygen quantity and the fly ash carbon content answer value of the furnace under the conditions of different loads and different coal qualities through the computation model. The method is more reasonable.

The invention discloses a real-time traffic condition judging method based on a time window. The method comprises the following steps of: performing data preprocessing; performing traffic state clustering initialization through a two-step clustering algorithm; updating the time window to obtain the traffic flow base data of a current time interval; and updating two-step clustering algorithm parameters and a clustering center, and judging the real-time traffic state of the current time interval. According to the invention, based on historical traffic flow base data, the traffic state clustering initialization is performed by a two-step clustering algorithm, and the optimal classification of the traffic state is obtained through primary selection of the optimal cluster number and determination of the optimal cluster number respectively; then, based on the initialization result, the real-time data is introduced, and the data is updated dynamically by use of a storage structure of the time window; and finally, the two-step clustering algorithm parameters and the clustering center are calculated and updated in real time, the optimal classification of the traffic state is re-determined, and the real-time traffic state of the current time interval is judged. The method makes up for the limitation of the conventional traffic state judging algorithm, and is of positive significance to promoting the construction of the urban intelligent transport system.

The invention provides an individuation searching method based on book domain ontology, belonging to an individuation network searching service. The individuation searching method comprises the following steps of: establishing the domain ontology, introducing a collaborative filtering idea, and adding semantic relationships which present influences among users; analyzing and processing logs and establishing a user model based on user interests and preferences; computing individuation scoring through spreading Activation (SA) based on the user model and the domain ontology; in addition, rearranging searched results, rearranging the results returned by a primary search engine according to an individuation scoring sequence from high to low, and returning to the users. Through introducing the collaborative filtering idea into the domain ontology, establishing the user model which presents user interest changes timely, and analyzing user requirements accurately by the SA, the invention effectively eradicates ambiguity of key words and greatly improves satisfaction degree of the users on the searched results.

The invention belongs to the field of aviation electronic technology, and discloses a method for generating a static scheduling table of a time-triggered (TT) service. The method comprises the following steps: equally dividing a basic cycle of TT Ethernet into a plurality of time slots, wherein each time slot satisfies the transmission of a maximum Ethernet frame at a one-hop link; and determining the scheduling order of tasks according to the cycle size of TT tasks and the length of data frames, performing scheduling priority ranking for the TT tasks, sequentially arranging a leftmost transmission time slot for each hop of links of each TT task on the transmission path, minimizing the length of a time interval occupied by the TT service, and ensuring that all the TT tasks are transmitted orderly without conflicts. According to the method disclosed by the invention, the scheduling problem of the TT service can be solved, and each terminal node can transmit all the TT tasks orderly without the conflicts; the waiting delay of ET services can be reduced, and the real-time performance of the ET services can be improved; and meanwhile, the saved network bandwidth can be applied to the transmission of more services, and the utilization rate of network links can be increased.

The invention discloses an emergency rescue decision making system aiming at natural disasters and a method thereof. A hardware platform comprises a disaster information data input terminal, a database, an application server, a client decision making terminal, a comprehensive natural-disaster knowledge management terminal, a consultation terminal and a printing terminal; a software platform comprises a disaster information acquisition module, an task intelligent analysis module, an emergency rescue decision making module, a decision making scheme consultation module, a decision making scheme output module, a data management module and a natural disaster knowledge management module. By utilizing the emergency rescue decision making system, after the disaster information is obtained, the intelligent analysis of the decision making task is carried out, decision making is carried out under the support of basic data and knowledge, synergetic consultation of experts can be carried out on the obtained feasible scheme, the decision making scheme is output and implemented, the effect of implementing the decision making scheme is evaluated, and the implemented scheme is successfully stored. In the emergency rescue decision making system, according to the whole process of natural disaster development, corresponding emergency rescue measures are given, decision making support is provided for emergency rescue of the government, and the loss caused by natural disasters is reduced.

The invention discloses a CT (Computed Tomography) value correcting method for cone-beam CT. The CT value correcting method comprises the following steps: scanning air, a water phantom and a bone tissue body phantom under different scanning conditions to respectively obtain projection data; reestablishing an image; removing noise and artifacts by adopting a polynomial fitting method based on a template image; selecting a plurality of interested regions and calculating a mean value of an attenuation coefficient and a standard deviation of the attenuation coefficient; obtaining the value range of the attenuation coefficient and taking the attenuation coefficient of maximum occurrence probability; fitting the attenuation coefficients of the air, the water phantom and the bone tissue body phantom under the different scanning conditions with corresponding ideal CT values to obtain respective fitting curves; performing CT scanning and image reestablishment on a scanned material; obtaining a CT value image according to a material attenuation coefficient image and a fitting curve and finishing the CT value correction. According to the CT value correcting method disclosed by the invention, image noise and artifact can be effectively reduced, the reestablished image of single material reaches the uniformity to the great degree, the precision of the attenuation coefficient of the material becomes higher and further high accuracy for the fitting of the curve of the CT value and the material attenuation coefficient is realized.

The invention discloses a bondbeam cable-stayed bridge sensor layout method based on two-phase multi-scale model correction. By establishing a fine finite element model of a full bridge structure, the part easy to damage of the whole structure is determined, then the multi-scale finite element model with the part easy to damage being small-scale and other parts being large-scale is established, then the power characteristic of a real bridge is obtained through an environmental vibration test; the bondbeam cable-stayed bridge multi-scale finite element model is corrected by adopting a two-phase correspondence face method, a finite element model further approaching the structure of the real bridge is obtained, then the part easy to damage of the whole structure as well as monitoring content and monitoring position on structure overall correspondence analysis level are determined, and finally the layout sorts and layout positions of the sensors on the bondbeam cable-stayed bridge are determined. The bondbeam cable-stayed bridge sensor layout method ensures that a bondbeam cable-stayed bridge health monitoring sensor system is more reasonable, reliable and effective, and further faciliates the accuracy of the safety early warning and safety prevention of bridge health monitoring.

The invention belongs to the field of intersection of a computer technology and medical images, and in particular relates to a dividing method of plaque in the cross section direction of carotid artery blood vessel in an ultrasound image. The method specifically comprises the following steps of: selecting the current frame image; dividing to obtain profiles of internal and external membranes of the blood vessel; extracting the plaque and dividing the interested area; detecting an initial plaque external boundary: carrying out curve fitting on each column of pixel point gray value between the internal and external membrane profiles on a polar coordinate image obtained through conversion in the interested area, and detecting the pixel point with the minimum gray value and nearest to the external membrane profile as the initial plaque external boundary point; carrying out level set evolution to obtain the final plaque external boundary; and using the area between the final external boundary and the internal membrane profile as the plaque area. By adopting the dividing method of ultrasound carotid artery plaque, plaque can be accurately divided, the workload of doctors can be greatly reduced, and the plaque size and area calculated on the basis of the division result can help doctors analyze the lesion degree and treatment effect.

The invention provides a personalized scenic spot recommendation method based on positive and negative feedback portrait coding of a user, which comprises the following steps: collecting historical evaluation information of the scenic spot and tourism attribute data of the scenic spot; obtaining positive and negative evaluation attractions of the user; transforming all scenic spots and their tourism attribute values into triples to construct scenic spots knowledge map; training the entity, attribute and attribute value of the scenic spot in the triple by the scoring function, so that the entity, attribute and attribute value of the scenic spot are converted into the vector representation form; obtaining positive and negative feedback portrait coding of scenic spots by users; calculating the similarity between the positive feedback image coding and the scenic spot entity vector to get the scenic spot that the user likes. Then the negative feedback image coding is used to optimize the ranking. The invention encodes the negative feedback portrait of the scenic spot characteristics by the user, adds the similarity degree of the scenic spots that the user hates on the basis of the favorite interest list, calculates and optimizes to obtain the final recommendation list, and provides the more accurate recommendation of the scenic spots for the user.

The invention belongs to the technical field of public transportation dispatching, and discloses an intelligent bus dispatching operation method. The method comprises acquiring the passenger flow data and / or the revenue from operations, and acquiring the vehicle model full load rate for line vehicle allocation to obtain the number of laps for planned departure of vehicles; acquiring the departure time of the first and last vehicles, according to the number of laps for planned departure of vehicles, obtaining the reference departure interval in the whole day, acquiring the crest segment setting in an expert system, obtaining the practical departure time for every lap, and forming a departure time table; acquiring the service time for the whole course for single time, according to the departure time table, obtaining the minimum planned departure number which can be revolved, acquiring the fatigue driving time limitation for a driver to obtain the practically required number of drivers corresponding to different departure numbers, and comparing the cost for two-by-two combination for different departure numbers with different numbers of drivers with the driving time of the drivers in different combinations; and outputting the departure time table, the practical departure number and the number of drivers as a bus dispatching operation scheme. The intelligent bus dispatching operation method can reasonably realize bus dispatching and improve the operation efficiency.

The invention discloses a method for optimizing the new energy capacity ratio in layers in a power grid. The method comprises the steps that iteration calculation is conducted on the inner layer and the outer layer, a calculation model is that time series modeling is conducted on output force of the inner layer on the basis that the characteristics of new energy of a region are considered, the optimal energy-saving emission reduction benefit of the power grid serves as a goal, the factors such as the load characteristic, the unit peak shaving characteristic and the thermoelectricity coupling characteristics of heat supply units of different types are comprehensively considered, and therefore an annual time series production analog simulation model related to new energy power generation is established; the outer layer is provided with a capacity ratio optimizing model, the energy-saving emission reduction benefit of the model of the inner layer serves as a fitness function, so that the individual optimizing direction is updated, the new energy power generation ratio capacity is determined, the blindness of random generation of new energy installed capacity is reduced, and the optimizing efficiency and the accuracy are improved. The method for optimizing the new energy capacity ratio in layers in the power grid can be applied to new energy capacity optimization of the province-level power grid and has important guiding significance in grid source planning and practical power system dispatch of the province (region) power grid with the requirements for new energy installed capacity planning and low carbon electric power.

The invention discloses an inner and outer layer nesting ECMS (equivalent fuel consumption minimization strategy) multi-objective double-layer optimization method. The inner and outer layer nesting ECMS multi-objective double-layer optimization method includes steps of building multi-objective optimization models of plug-in hybrid electric vehicles; solving the multi-objective optimization modelsby the aid of inner and outer layer nesting multi-objective particle swarm algorithms to obtain multi-objective optimized Pareto solution set front edges; weighting equivalent fuel consumption per hundred kilometers and variation ranges of deviation of SOC (state of charge) final values and target values, building total evaluation functions related to the equivalent fuel consumption per hundred kilometers and SOC deviation and selecting the optimal charge and discharge equivalent factors and engine and motor power distribution modes corresponding to the optimal charge and discharge equivalentfactors. The inner and outer layer nesting ECMS multi-objective double-layer optimization method has the advantages that output power of engines and motors of the plug-in hybrid electric vehicles canbe reasonably distributed at CS (charge sustaining) stages, so that fuel consumption can be reduced as much as possible, battery SOC balance still can be effectively kept, and the fuel economy of theintegral vehicles can be improved.

The invention discloses a transmission system gearbox reliability test bed of a high-speed multiple unit. The transmission system gearbox reliability test bed of the high-speed multiple unit comprises an L-shaped bearer platform power flexible driving torque tester, a rectangular bearer platform power flexible driving torque detection tester, a trial gearbox assembly tester and a three-DOF (degree of freedom) vibration simulation test device, wherein the trial gearbox assembly tester and the three-DOF (degree of freedom) vibration simulation test device are mounted in parallel on the foundation, and a trial gearbox in the trial gearbox assembly tester is connected with a tested gearbox in the three-DOF (degree of freedom)vibration simulation test device through a synchronous universal joint coupling of a ball cage type. The L-shaped bearer platform power flexible driving torque tester is connected with the trial gearbox assembly tester trough a cross axial universal coupling, and the rectangular bearer platform power flexible driving torque detection tester is connected with the three-DOF (degree of freedom) vibration simulation test device through the cross axial universal coupling.

The invention relates to the design technology of computer-assisted cable laying, in particular to a method for designing a cable path of a nuclear power station according to an established cable bridge network. The method comprises the following steps of: establishing the matching relation between a cable and a bridge, and establishing a one-to-one relation list between the type and series colorcodes of the cable and the type and series color codes of the bridge; modeling equipment at two ends of the cable in a database, and establishing data of the cable in the database according to a cable list; arranging reasonable approach points for the equipment at two ends of the cable according to the arrangement condition of the equipment, so that the approach points are used as a starting point and a terminal point in the cable path design process; and selecting the path reasonably according to a cable bridge network data model to lay the cable. When the method is used, the design of the cable path can be completed quickly, and problems of layer jump, the rationality of laying, work efficiency and the like in the conventional cable path design also can be solved.

The invention discloses a topological optimization-based gradient lattice structure design method, which comprises the following steps of: 1, establishing a geometric model of an initial structure, and determining a design domain and a non-design domain; 2, setting topological optimization parameters, and determining an optimal force transmission path and relative density distribution informationof the initial structure; 3, extracting relative density information of the finite element unit, a Mizeasts stress value and coordinate information of the finite element unit; 4, selecting a proper cell to fill the structural design domain, and deleting repeated support columns in the lattice structure; 5, establishing a mathematical model of additive manufacturing process constraint; 6, establishing a mapping function relationship among the unit stress value, the relative density value and the lattice cell pillar size, and determining the pillar size; And 7, outputting a final geometric modelof the lattice structure. The distribution reasonability of the structural material can be ensured; The repetition of a topological optimization process is avoided, and the algorithm efficiency is high; The method can be suitable for the lattice design of complex geometric configurations; And a lattice structure with gradient change of the pillar size can be established.

The invention discloses an uncertain software credibility assessment method based on an evidence theory. The method comprises the following steps that: (1) on the basis of a utility theory and the evidence theory, a software credibility assessment process requesting driving is defined and critical scientific problems and study difficulties to be solved are demonstrated clearly in credibility assessment reasoning process; (2) the standard formal definition of a multiscale quantitative index system TEIS based on multidimensional credible attribute is given; (3) ignorance space in an original cautious connection rule is differentiated and is led into an association coefficient based on discount and relative weight and a novel evidence composite rule-ECCR under relative belief background is defined in order to blend uncertain information; and (4) in accordance with complex hierarchy characteristic among credible indexes, a software credibility assessment reasoning module relative to a consideration information source is established, the uncertain software credibility assessment reasoning module is structured and solved according to the evidence theory and ECCR is used to solve the information fusion problem under the relative background of assessment information source.

The invention discloses a scoring card development method based on machine learning. The scoring card development method comprises the following steps: (1) defining a label of a target user accordingto vinage analysis; (2) integrating various data sources to obtain final data; (3) carrying out exploratory analysis and data cleaning on the data; (4) using an optimized chi-square binning method tobind the cleaned data; (5) carrying out variable screening on the box-separated variables; (6) constructing a logistic regression model; (7) evaluating the model; And (8) converting the model output target user default probability into a score. According to the method, machine learning, vinage analysis and a logistic regression model are utilized, and the problem is converted from manual solutionto machine solution according to the difficulties of low manual efficiency, difficulty in auditing and the like in the big data era.

The invention provides a hierarchical road network-based path search method and a hierarchical road network-based path search device. The method comprises the following steps of: searching a local optimal path RSJ=(S, ..., and Ji) of a starting point S and a local optimal path RNE=(Nk, ..., and E) of a finishing point E in a preset range in a lower road network respectively, wherein a node Ji and a node Nk are nodes in an upper road network; searching a local optimal path RJN=(Ji, ..., and Nk) of the node Ji and the node Nk in the upper road network; and combining the local optimal paths to obtain an optimal path from the starting point S to the finishing point E, namely RSE=(S, ..., Ji, ..., Nk, ..., and E). In the scheme, the road network search scale is controlled by the local optimal paths of the starting point and the finishing point in the preset range; and the optimal path between the remote nodes Ji and Nk is searched in the upper road network with a small road network scale, so that the overall search scale is in a small controllable range, and path search efficiency is greatly improved.

The invention provides a personalized tour route recommendation method. The personalized tour route recommendation method comprises the steps that 1, travel note information of tourists is obtained and preprocessed; 2, a scenic spot type expression vector based on category information is obtained; 3, a touristy preference expression vector of each user, touristy preference expression vectors of the tourists in each month and an expression vector of each scenic spot are obtained; 4, a candidate tour route set is obtained according to step 1; 5, candidate tour routes are obtained from the candidate tour route set according to individual constraints; 6, a preference expression vector to which each tour route belongs is obtained; 7, similarity matching is carried out on the user touristy preference and the candidate routes to obtain the playing route which is most matched with the user touristy preference to serve as a final tour route recommended to the users. In the method, according toeach scenic spot in a historical tour track of the tourists and the scenic spot category information to which the scenic spots belong, the personalized touristy preference of the tourists is obtained.

An intelligent power generation control method based on multi-agent reinforcement learning having time tunnel thought includes the following steps: determining a state discrete set S; determining a combined action discrete set A; collecting real-time operating data of each power grid, calculating an instantaneous value of each area control error ACE(k) and an instantaneous value of a control performance standard CPS(k), and selecting search action a<k>; in the current state s, obtaining a short-term award function signal R(k) by a certain area power grid i; obtaining value function errors rho<k> and delta<k> through calculation and estimation; updating a Q function table and a time tunnel matrix e(s<k>, a<k>) corresponding to all states-actions (s, a); updating Q values and updating a mixed strategy pi(s<k>, a<k>) under the current state s; then updating a time tunnel element e (s<k>, a<k>); selecting a variable learning rate phi; and updating a decision change rate delta (s<k>, a<k>) and a decision space estimation slope delta<2>(s<k>, a<k>) according to a function. The intelligent power generation control method based on multi-agent reinforcement learning having time tunnel thought aims to solve the problem of equalization of multi-area intelligent power generation control, has a higher adaptive learning rate capability and a faster learning speed ratio, and has a faster convergence rate and higher robustness.

The invention discloses a method for detecting visualization and configuration consistency of a configuration file of an intelligent substation. The method comprises the following steps: 1) viewing an SCD file; 2) comparing the SCD file: performing imaging comparison, primarily reporting an error in a topological graph when different versions of loops or inconsistent message parameters are detected, then reporting the error in details on a detailed virtual secondary loop diagram and displaying the loop or terminal change, and finally, listing the configuration change of the compared SCD file; 3) debugging strategy and verifying by the SCD file: a) generating a corresponding debugging strategy according to a comparison result, and b) verifying the related IED device according to the debugging strategy, thereby checking the correctness of the loop and maintaining the consistency of the practical information and SCD file description between the in-station intelligent devices of the intelligent substation. The reliability of information interconnection between the IED devices is guaranteed; the invisible hidden danger of the safe running of a power grid is eliminated; the systematic and targeted properties of the debugging work of the intelligent substation are increased; and the debugging period of the intelligent substation is effectively reduced.

The invention relates to an electric power system line weakness evaluation system and method based on multi-attribute analysis. The system comprises an EMS information obtaining module, a line topology importance degree calculation module, a line correlation coefficient calculation module, an economic loss calculation module, a hidden failure rate calculation module, a line integral weakness calculation module and a weak line screening module. The method comprises the following steps of obtaining trend information and historical information of each line in an electric power system; obtaining the topology importance degree index of each line, the correlation coefficient index of each line, the hidden fault rate index of each line and the economic loss index of each line due to line breaking according to the trend information and the historical information of the line; building an integral weakness index function; performing calculation by using the topology importance degree index, the correlation coefficient index, the economic loss index and the hidden fault rate index of the line as input data of the integral weakness index function to obtain the integral weakness index of each line; and obtaining the weak line in the electric power system through setting the critical weakness index.