833results about How to "Reduce blindness" patented technology

The invention relates to the field of elevators. In order to early discover and diagnose A elevator fault, the invention adopts the technical scheme that an elevator fault diagnosis and early-warning method based on data drive is achieved by means of a remote service center, a fault diagnosis and prediction terminal and an elevator controller, and the method comprises the steps as follows: firstly, elevator fault data are mined to obtain characteristic information in an elevator fault data stream, and the mined result is stored in an elevator fault case base of the fault diagnosis and prediction terminal; secondly, an elevator fault knowledge base on the fault diagnosis and prediction terminal is updated by the elevator fault case base; thirdly, the case retrieval is carried out on the characteristic of a new elevator fault problem, and the fault diagnosis is carried out on the elevator system by adopting the fault diagnosis method based on the case-base reasoning; and finally information with the characteristic that is most similar with that of the new elevator fault problem is acquired through retrieval of the knowledge or the case in the elevator fault knowledge base to solve the diagnosis problem. The method is mainly suitable for manufacturing and designing image sensors.

The subject matter of this specification can be embodied in, among other things, a method that receives at a server a first request to rebroadcast a first sponsored content item that was displayed on the social network to the first user to a second user. A second request to display at least one sponsored content item to the second user when the second user accesses an electronic document associated with the social network is received at the server. The first sponsored content item is retrieved for rebroadcast from one or more sponsored content items indicated for rebroadcast to the second user. The first sponsored content item is output to the second user of the social network in response to the second request to display and without requiring the second user to select the first sponsored content item for display.

A hand-held digital camera for obtaining images of a portion of a patient's body and having a hand-held housing, a visible light source located within the housing for providing light along an illumination path from the housing aperture to the patient's body, an image sensor located within the housing that detects light returning from the patient's body along an imaging path that passes into the housing aperture, an optical system located within the housing with separate illumination and imaging paths, an external optical aperture common to the illumination and imaging systems, wherein the illumination and imaging sub-apertures are wholly contained within the common external aperture, are longitudinally coincident, and are laterally separated and non-overlapping, a digital memory device for storing captured images, an output display carried by the housing, and the ability to electronically transmit stored images. The camera can be used for retinal imaging and for otoscopy.

The invention provides a method and system for evaluating the building fire situations and instructing evacuation. The method comprises the following steps: monitoring the fire information in real time, and calculating the fire source position information, the fire source strength information and the fire developing situation information according to the fire information; estimating the position information of people in each area of the building, and estimating the density distribution of people in each area; and calculating the best evacuating directions and evacuating paths according to the fire source position information, the fire source strength information, the fire developing situation information, the density information and position information of people in each area of the building and the building structure information. The embodiment of the invention fully utilizes the modern technologies of sensing, communication, calculation, decision making and the like, provides a feasible solution for evacuation based on the disaster developing situation in the building, and improves the decision making and evacuation efficiencies.

The invention discloses a cascade reservoir multi-objective optimization scheduling method based on an improved artificial bee colony algorithm. The method comprises the following steps that s11, the basic information data of a cascade reservoir system are acquired; s12, a multi-objective scheduling model including power generation, estuarine ecology and water supply is established according to the information of the reservoir system; and s13, the optimal scheduling scheme of the cascade reservoir system is solved by performing the improved artificial bee colony algorithm. Global optimization of the reservoir scheduling problem can be realized so that the calculation efficiency and accuracy can be enhanced, and a new approach can be provided for solving the multi-objective optimization scheduling problem of the cascade reservoir system.

The invention provides an industrial control protocol fuzzing test method based on protocol state, comprising the steps of extracting a protocol state machine, building a message sequence library, guiding the protocol state, sending and storing test cases, carrying out abnormality monitoring based on heart rate, and locating a test message causing abnormality. In view of the problem that industrial control protocol fuzzing test is of high blindness and low efficiency, test cases belonging to the protocol state of an industrial control component are sent to the industrial control component based on the protocol state, and therefore, the coverage of fuzzing test is extended effectively, and the test cases are more targeted. The abnormality monitoring based on heart rate is of extensive applicability. In addition, through the method for locating a test message causing abnormality, a single message or a message sequence causing abnormality of the industrial control protocol can be located efficiently and accurately, and excavation and analysis of security holes are facilitated.

The embodiment of invention discloses a millimeter wave phased-array wave beam aligning method and communication equipment. The millimeter wave phased-array wave beam aligning method comprises the following steps that: first equipment and second equipment communicate through a low-frequency stage communication link to determine a search angle; the first equipment transmits a first millimeter wave signal in the indicated direction of the search angle to search the second equipment; the first millimeter wave signal is taken as a high-frequency millimeter wave signal; the first equipment receives the feedback information transmitted by the second equipment, and the second equipment transmits the feedback information after receiving the first millimeter wave signal in the indicated direction of the search angle; and the first equipment determines to realize millimeter wave phased-array wave beam alignment in the indicated direction of the search angle with the second equipment after receiving the feedback information. The millimeter wave phased-array wave beam aligning method disclosed by the embodiment of the invention reduces the blindness of wave beam search, greatly decreases the wave beam scanning times and improves the phased-array wave beam aligning efficiency.

The invention discloses a systematic control method for repair based on condition of electricity transmission equipment, which divides the repair based on condition of an electricity transmission system into two steps, i.e. the collection of the electricity transmission equipment information and the formulation of a strategy for systematic repair based on condition, wherein the collection of the electricity transmission equipment information comprises the collection of the equipment condition information and the collection of the operating information of the electricity transmission system; and the formulation of the strategy for systematic repair based on condition comprises the following steps: firstly, forming a basic database of the repair strategy, solving by adopting the control algorithm of a repair based on condition system, and checking and outputting to obtain an optimum repair arrangement strategy. The method provided by the invention can reduce the blindness in the repair course, avoids the insufficient repair, comprehensively balances the purposes of enhancing the service life of the equipment and improving the reliability of the system in the repair period, arranges the time interval and type of the repair of the electricity transmission equipment from the point of maximum integral benefit of the system, and enhances the economy and reliability of the repair arrangement of the system.

The invention discloses an establishing method of an uncertainty mid-term and long-term hydrological forecasting model, comprising the following steps: using a wavelet analysis (WA), an artificial neural network (ANN) and a hydrological frequency analysis (HFA) in combination to establish the uncertainty mid-term and long-term hydrological forecasting model; dividing the original sequence into two sections of a main sequence and a random sequence on the basis that WA is used to reveal multiple time dimension variation characteristics of the hydrological sequences, adopting ANN for analogue forecasting on the main sequence and hydrological frequency analysis on the random sequence and overlapping the results of the two sections to be a final forecasting value. The model is used for the mid-term and long-term hydrological forecasting in the Yellow River estuary area, and compared with the traditional method, the results show that the model can reveal the time and frequency structures and variation characteristics of the sequences, has high forecast value result precision and acceptance rate, can quantitatively analyze and describe the impact of hydrological uncertain factors on the forecasting result and can obtain the analogue forecasting value of different frequencies to corresponding hydrological sequences.

The invention relates to an online monitoring and condition maintenance management system, which is a layered and distributed data management and computer system, faces to a plurality of substation high-voltage equipment and adopts a multi-server level-to-level management system. The online monitoring and condition maintenance management system comprises an online monitoring equipment layer, a substation data network layer and a remote data center. By constructing and applying the management system, the online monitoring system is promoted to be transitioned to an all-round, networked, intelligent and comprehensive condition monitoring, diagnosis and service management system from the traditional isolated and static experimental system. The system provides a powerful technical supporting platform for overcoming periodic maintenance blindness, reducing maintenance times, reducing maintenance expenses, delaying maintenance cycle to the utmost extent, truly realizing condition maintenance for power system operation and management departments and further improving the operation rate of the equipment and the safety of power grids.

The invention relates to a fast and complete automatic driving trajectory planning method. The method comprises the steps that 1) a basic path is planned; 2) collision detection is carried out on thebasic driving path, and step 3) is carried out; if collision does not exist, whether the basic driving path reaches a target point is determined; if so, step 4) is carried out; if not, step 3) is carried out; 3) after a sampling / search path planning method is used to acquire a smooth effective path, step 4) is carried out; 4) after a curvature extreme value corresponding to the path is acquired, segmentation velocity is planned to acquire a trajectory; and 5) collision detection is carried out on the trajectory in time domain and spatial domain; if collision exists, whether the distance between a vehicle and an obstacle is greater than 2 times the minimum braking distance; if so, velocity re-planning and returning to step 4) are carried out; if not, returning to step 1) is carried out; finally the path and velocity are combined to generate a trajectory and output the trajectory. Compared with the prior art, the method provided by the invention has the advantages of trajectory planninginstantaneity improvement, stability, reliability and the like.

The invention provides a determining method for polluted water bed mud environmental protection dredging depth, comprising analyzing and evaluating the releasing risk and ecological hazard risk of the pollutant at different layer side of the mud based on the vertical distribution of the pollutant in the bed mud by researching the relation of the releasing of bed mud pollutant nitrogen, phosphor or the like and the corresponding pollutant content and the ecological hazard evaluation corresponding with the content of the bed mud pollutant containing heavy metal; and determining the bed mud dredging depth based on the divided corresponding risk grade. After dredging, the anticipated release rate of the key pollutant such as nitrogen, phosphor at the new surface layer of bed mud-hydrosphere achieves or exceeds a release intensity threshold and the latent ecological hazard index of the heavy metal at the new surface layer of bed mud achieves or exceeds a hazard threshold, therefore the basis of the dredging depth is determined.

The invention discloses an alloy-cast-steel mechanical property prediction method based on an improved BP neural network for rollers, and belongs to the technical field of alloy-cast-steel rollers. The method includes the steps of firstly, using allay cast steel which is different in alloy composition and hot-processing technological parameter for conducting a series of mechanical property tests on the rollers, and collecting and screening required training sample data of an artificial neural network model; constructing the BP artificial neural network model containing an input layer, a hiddenlayer and an output layer, and then forming mapping relationships among the alloy compositions, hot-processing technological parameters and mechanical property of the alloy-cast-steel rollers; adopting the artificial neural network after training to predict the mechanical properties of the alloy-cast-steel rollers. The constructed BP neural network model is high in prediction accuracy and stability, excellent in promotion capability, and capable of providing a new approach and method for further researching and development of novel alloy-cast-steel roller materials, so that the production cost is reduced, and the development time is shortened.

The invention discloses a method and a system for shortening time delay in a peer-to-peer network streaming media live broadcast system. The system is provided with a media source node and a cache routing server, wherein the media source node is used for the media resource management of the whole system; the cache routing server is used for media resource management, routing calculation and peer client end management in a local domain; the cache routing server is used for selecting a proper peer client end from other managed peer client ends and establishing streaming media data interaction with a request peer client end; when needed media streaming data does not exist in the peer client end managed by the cache routing server, the cache routing server is used for requesting needed streaming media data information from other cache routing servers and transmitting the needed streaming media data information to the request peer client end; and when the cache routing server is failed forobtaining the needed streaming media data from other cache routing servers, the cache routing server is used for obtaining the needed data from the media source node and transmitting the needed data to the request peer client end.

The invention provides mutant aureobasidium pullulans TKPM00006 for massively producing beta-poly(malic acid) and a method for producing poly(malic acid) by using the mutant through fermentation. The strain is the mutant for producing beta-poly(malic acid) with high yield, which is cultured by multiple groups of composite mutagenesis technology based on beta-poly(malic acid) producing TKPM10017 screened in the soil of Wang Taibao orchard, Yinchuan, Ningxia Hui Autonomous Region, China. Under the optimization condition, the yield of beta-poly(malic acid) reaches 18.4+ / -1.3g / l.

The invention relates to a fertilization decision method based on crop growth remote sensing monitoring information. The fertilization decision method based on the crop growth remote sensing monitoring information is formed by integration of a traditional formulated fertilization technique based on soil fertility sub-areas (grades), a remote sensing technique and a geographic information system (GIS) technique, according to different land blocks and difference conditions of crop growth in the land blocks, superiority of the remote sensing technique is brought into full play, a real-time, rapid and accurate fertilization decision oriented toward farmland land blocks is achieved, accuracy of the fertilization decision is improved, blindness of the use of chemical fertilizer is reduced, and a foundation for wide-range popularization of a soil testing and formulated fertilization technique is laid.

The invention discloses an intelligent multidimensional big-data analyzing expert system for high-voltage circuit breakers of a power grid. The intelligent multidimensional big-data analyzing expert system is composed of a high-voltage circuit breaker cloud database or a high-voltage circuit breaker cluster (hereafter called circuit breaker) cloud database and an intelligent expert deciding terminal with a multidimensional analyzing function. The intelligent multidimensional big-data analyzing expert system has the advantages that on the basis of a big-data analysis technology, the intelligent multidimensional big-data analyzing expert system performs multidimensional analysis on huge amount of online and offline cloud data, so that unified real-time monitoring and management for the circuit breakers is achieved, functions of circuit breaker state security risk assessment, optimal equipment maintenance scheme ordering, online mobile terminal dynamic warning and the like are provided, security and economic levels in running maintenance of high-voltage circuit breaker equipment are promoted, and the high-voltage circuit breaker can be managed better in an equipment overall lifecycle.

The invention discloses an assessment method of operating dynamic risk of electric transmission and transformation equipment. In combination with a fault tree and event tree analysis method, causes and effects of a fault mode are analyzed, a bow-tie model taking the fault mode as a central node is formed, the bow-tie model can be used for analyzing causes, effects and risk of accidents in combination with a fault tree and an event tree, and corresponding risk control measures are determined. According to the operating risk of the electric transmission and transformation equipment, the operating risk can be assessed dynamically. Compared with a fault diagnosis mechanism in the prior art, a dynamic fault diagnosis mechanism has the advantages that judgment of evidence information requirements is added, blindness of a diagnosis process is reduced, the fault condition of the electric transmission and transformation equipment can be judged effectively, and therefore a result, obtained through assessment, of the service life of the electric transmission and transformation equipment is more accurate and conforms to actual conditions better, and the assessment method has better guiding significance in engineering application.

The invention relates to the field acquisition field of earth physical exploration, in particular to a multi-factor scanning method of a controllable vibroseis. The method comprises the following steps of: exciting an earthquake wave with a wide-frequency scanning signal to finish acquisition; selecting a receiving channel to make an amplitude spectrum and a frequency division scanning field; decomposing the signal to create a group of sub-scanning with different start frequency and end frequency for spectrum superposition and factor superposition and comparing the superposed spectrum with practical data to confirm a sub-scanning group; combining sub-scanning for field acquisition, carrying out the frequency division scanning of the amplitude spectrum, comparing amplitude spectrum data and frequency division records to confirm the best sub-scanning factor and mapping. The invention can reduce the correlated sidelobe of data, improve the signal-to-noise ratio of the data, effectively restrict harmonic interference, lessen the blindness of tests, improve the data quality and save exploration expenditure.

The invention discloses a method for improving storm surge disaster risk predication accuracy. The method comprises the following steps that a storm surge disaster scene is built based on a scene analysis method; a storm surge disaster three-dimensional numerical simulation method is provided; a multi-mode multiobjective flood refuge optimal path selection model is built; the provided storm surge disaster three-dimensional numerical simulation method specifically comprises the steps that (1) the three-dimensional network model of the regional terrain is built; (2) the SST k-omega flood routing three-dimensional turbulent model of a coupling VOF method is built; (3) a three-dimensional risk drawing is drawn based on the three-dimensional numerical simulation result. The factuality and the visualization effect of flood dynamic real-time flowing and disaster time distribution are increased; a multi-mode multiobjective emergency path decentralization model is used for further improving the completeness and reasonability of an emergency refuge system, a disaster contingency plan is effectively made, and a multi-module coupling, high-completeness and high-practicality storm surge disaster risk analysis system is provided.

The equipment includes modules: user data acquisition module, user data analysis module, advertisement (ad) content storage module, module for managing terminal state, module for creating individualized ad, ad distribution module, and terminal process module. The invention also discloses method for realizes individualized ad on TV based on IP network. The method includes steps: collecting user data; receiving collected user data, summarizing and analyzing the data; storing ad content suitable to broadcasting and displaying on TV; receiving report of terminal state, and providing the report to the module for creating individualized ad; obtaining ad content; sending ad content to the terminal process module; and outputting ad content to TV screen. The invention realizes individualized ad on TV.

The invention relates to one sensor network data inquire process method based on mobile agent middle part, which comprises the following steps: regarding whole wireless sensor as one database; realizing on mobile agent middle part; executing user inquire task by mobile agent onto designed point to start operations till fulfilling inquire task to end its life circle or according to its task need onto other point; inquiring process system design to realize network base station to change inquire agent design.

The invention discloses an intelligent detection method of high-speed turnout crack damage based on vibration signal fusion. The intelligent detection method comprises the following steps: firstly, respectively mounting vibration acceleration sensors at a turnout tip, a turnout center and a turnout tail of a high-speed turnout, so as to collect vibration signals, and respectively carrying out CEEMD adaptive decomposition on the vibration signals of the three detection points, so as to obtain a limit number of IMF components; then, screening out a main IMF component by using correlation analysis, and calculating singularity entropy eigenvalue of the main IMF component; fusing singularity entropy eigenvalue of the vibration signals of a plurality of the detection points into an eigenvector, and inputting the eigenvector into LSSVM for training and testing, so as to achieve judgement of the working condition and damage type of the turnout. According to the intelligent detection method, different crack damage of the turnout can be effectively distinguished, and the method has good realtime performance and noise resistance, and provides a novel technological means for intelligent diagnosis of turnout fault.

The invention discloses a medium and long term hydrologic forecasting method based on empirical mode decomposition. The medium and long term hydrologic forecasting method based on empirical mode decomposition comprises the steps that firstly, a hydrologic forecasting model is built according to the following procedures of (101) empirical mode decomposition, wherein empirical mode decomposition is carried out on a hydrologic time sequence s(t) of a forecast drainage basin, (102) kernel principle component analysis, wherein kernel principle component analysis is carried out on n intrinsic mode function components Fj obtained through empirical mode decomposition and a trend item rn, and p main components F'k are extracted, (103) building of a training sample set, wherein the training sample set is built according to the extracted p main components F'k, (104) building of a support vector machine model, and (105) training of the support vector machine model; secondly, annual runoff data of the years needing forecasting are forecast through the built hydrologic forecasting model. The medium and long term hydrologic forecasting method based on empirical mode decomposition is simple in step, convenient to realize, easy and convenient to operate, good in use effect and capable of effectively resolving the problem of low forecasting accuracy of an existing hydrologic forecasting method.

This invention discloses a load balance mode of a WLAN, which broadcasts periodically to transmit load information to terminals by radio access points and terminals forecast the change trend of loads of the radio access points to decide their switch behavior. Advantage: 1, since load information of radio access points is correlative on time, the terminal can forecast the change trend of radio access points to decide if it switches to other access points or maintains the current connection, when there is not burst peak to the load of the radio access point, the terminal can maintain the current connection to avoid switch because of the intensity of signals, 2, the terminal can make switch action before the coming of laod peak so as to reduce risk brought with switch.

The invention discloses a method for determining an intermittent pumping system through oil-well pump dynamic fullness well testing. The method for determining the intermittent pumping system through oil-well pump dynamic fullness well testing comprises the steps of (1) determining a net stroke of a piston of an oil-well pump through synchronous measurement of a continuous polish rod load-and-time curve and a polish rod continuous displacement-and-time curve, and using a percentage between the net stroke and a gross stroke as a fullness measuring value; (2) building a complete oil-well pump dynamic fullness decreasing history curve according to continuous read and continuous analysis of the fullness, and obtaining an etamax and an etac according to the complete oil-well pump dynamic fullness decreasing history curve; (3) using the time spent by the process that the fullness of an oil well with the given characteristic decreases from the etamax to the etac as a fixed pumping time, and selecting different to-be-pumped times Tg to form an intermittent period; (4) using a percentage between the fixed pumping time and a well shutdown time as a pumping duty ratio, compiling a series of intermittent pumping systems according to different period systems, and determining an optimum intermittent pumping system according to the maximum daily output method and a minimum pumping duty ratio. The method for determining the intermittent pumping system through oil-well pump dynamic fullness well testing enables a sucker-rod pumping oil well to achieve maximum capacity, and reduces energy consumption and operating cost.

The invention provides a text recommendation method and device based on contents and user behaviors. The method comprises the steps of obtaining a to-be-analyzed document set and carrying out Chinese word segmentation on documents in the document set, thereby obtaining multiple word items; carrying out information gain calculation on the word items in the document set, sorting the word items according to the magnitude of information gain volume and screening multiple word items as reference vectors; converting texts in the document set into multidimensional spatial vector models according to the reference vectors; carrying out TF-IDF (Term Frequency-Inverse Document Frequency) calculation on the spatial vector models, thereby obtaining text vector matrixes; calculating similarities among different text vector matrixes, thereby forming a document relationship matrix; and analyzing user behavior data and forming a recommendation list for a user through combination of the document relationships matrix. The device comprises a word segmentation module, an IG calculation module, a dimension reduction module, a TF-IDF calculation module, a similarity calculation module and a recommendation module. According to the method and the device, the user text content recommendation effectiveness can be improved.

The invention discloses a method and a system for preventing telecommunication fraud by using signaling messages of a switch No.7. In the invention, the NO.7 message in the telephone call is used, so as to design the method and the device for preventing telecommunication fraud. According to the invention, through monitoring telephone call signaling on line in real time and carrying out activities such as suspiciousness analysis to the calling number in a signaling message, blacklist matching and the like, whether the calling telephone is suspicious or fraud can be determined, after users of both sides end up the call, a telephone for originating call can call an aggrieved party in time, and after the user receives the call, warning speeches can be played automatically so as to remind the user to enhance a risk awareness and put an end to further development of a fraud case. After the adoption of the invention, through concurrent precaution to cases in an on-line dynamic way, the cases are ended up, and an excellent precaution effect can be achieved.

The embodiment of the invention discloses a method and device for cutting a character and an electronic device. The method comprises the step of obtaining a current recognition result and at least one historical recognition result of a target area, wherein the current recognition result is a recognition result of a current frame image of the target area, the historical recognition result is a recognition result of a historical image of the target area, and the current recognition result and the historical recognition result respectively comprise at least one character block; the step of obtaining the confidence coefficients of the character blocks in the current recognition result and the character blocks in the historical recognition result and the positions of the character blocks in the current recognition result and the character blocks in the historical recognition result in the image; the step of obtaining the error cutting area in the current recognition result according to the confidence coefficient and the position of each character block. According to the method, the error cutting area of the current frame image is determined by combining the recognition results of the historical image in an auxiliary mode, and when the error cutting area is cut again, the blindness of cutting the current frame image can be reduced, and the cutting accuracy and cutting efficiency can be improved.