176results about How to "Guaranteed pertinence" patented technology

The invention discloses a learning management system based on a competency model and knowledge management, which realizes butt joint of enterprise strategies and learning. The technical scheme is as follows: the system comprises a training and learning platform comprising a user login interface; an application program module comprising a trainee information addition module and a database module; apost capability tool module comprising a first database module for storing posts, capability and skills; a first editting module for editing correlation of the posts, the capability and the skills; afirst display module for displaying correlation of the posts, the capability and the skills; a first connecting module for allowing knowledge point operation to enter a knowledge management tool module, wherein, the knowledge management tool module comprises a second database module for storing the knowledge points and courses; a second editing module for editing correlation of the knowledge points and the skills, the knowledge points and the courses; a second display module for displaying correlation of the skills, the knowledge points and the courses and knowledge point contents; and a second connecting module for allowing skill operation to enter the post capability tool module.

The invention discloses a single camera calibration method based on road surface collinear three points and parallel line thereof, comprising the following steps: (1) building an image two-dimensional coordinate system and a ground two-dimensional world coordinate system; (2) in a traffic scene, selecting three points in straight roadway demarcation lines and parallel roadway edge straight lines as a calibration target, measuring the intervals among three points and the interval between two parallel straight lines, and obtaining the coordinate of the corresponding pixel of the calibrated target in an image; (3) calculating the angle of parallel lines in a ground world coordinate system; (4) calculating the focal distance and the depression angle parameter of the camera; and (5) calculating the coordinate conversion relation of each corresponding point in the image coordinate system and the ground world coordinate system to finally finish calibrating the camera. The invention does not need to put a regular calibration rectangle in a traffic scene, but only needs three points and the parallel lines thereof on a traffic marking. The method is simple and practical and has favorable pertinence and popularity.

The invention discloses a method and a device for dynamic threshold anomaly traffic detection of DDOS (distributed denial of service) attack. The method includes: acquiring historical data of anomaly traffic detection, and generating a traffic threshold above a tolerable line and a traffic threshold below the tolerable line of anomaly traffic detection according to the historical data of anomaly traffic detection; comparing a traffic value obtained by detection to the traffic threshold above the tolerable line and the traffic threshold below the tolerable line of anomaly traffic detection; if the traffic value is larger than the traffic threshold above the tolerable line or smaller than the traffic threshold below the tolerable line, sending out an anomaly traffic detection alarm. By the method and the device for dynamic threshold anomaly traffic detection of the DDOS attack, the traffic threshold above the tolerable line and the traffic threshold below the tolerable line can be generated effectively by utilization of the historical data, the defect of high difficulty in threshold determination in the process of anomaly traffic detection of the DDOS attack n the prior art is made up, accuracy of DDOS anomaly traffic detection is improved significantly through a statistics-based threshold determination method, and false alarm rate of anomaly traffic detection alarm is lowered.

The invention provides a simulation training method for a special situation fault of an unmanned aerial vehicle and a system thereof, and belongs to the field of data processing of the unmanned aerial vehicle. A fault tree theory-based unmanned combat aerial vehicle system fault traversing analysis method is provided; a fault which affects the safety of flight is used as a top event of a fault tree to decompose the fault step by step to obtain all fault modes which affect the safety of the flight; meanwhile, a simulation snapshot technology-based unmanned combat aerial vehicle training process decoupling design technology is provided, current training state data is extracted in real time to establish a snapshot database, snapshot data of corresponding stages is only required to be called aiming at different training stages, and simulation initialization is performed, so the problem of extraction of initial training parameters of different task stages is solved; the method and the system have a random selection function at the specific training stage of the special situation fault of the unmanned aerial vehicle and a random fault selection function.

The invention discloses a method and system for automatic detection and cleaning of dirt based on an intelligent closestool. The method includes the following steps that 1, image information of the inside of the closestool is collected, according to the collected image information of the inside of the closestool, regional division is conducted, gray-scale processing is conducted on the image information of the inside of the closestool, according to the gray-scale processing result, the dirt in the closestool is detected, and the region where the dirt is located is positioned; 2, the region where the dirt is located is cleaned through a cleaning device; 3, after cleaning is completed, the image information of the inside of the closestool is collected again, and the gray-scale processing is conducted on the image information of the inside of the closestool again; 4, according to the gray-scale processing result obtained in the step 3, whether dirt exists in the closestool or not is judged, if no, cleaning is stopped, if yes, the region where the dirt is located is positioned, and the step 2 is repeated until the gray-scale processing result obtained in the step 3 shows that no dirt exists in the closestool.

The invention discloses a Hadoop cloud platform-based Web resource personalized recommendation system and method. The system comprises a user model module which collects browsing behavior information of a user on a Web resource page, endows different weights to different behavior types of the user according to the browsing behavior information of the user on the Web resource page, and calculates the degree of interest of the user in the Web resource page according to the different weights, a recommendation algorithm module which carries out clustering processing on the collected browsing behavior information of the user on the Web resource page by using a recommendation algorithm according to the degree of interest calculated by the user model module, then constructs a matrix according to a clustering result, carries out nearest neighbor analysis on a target resource through the constructed matrix to obtain a nearest neighbor result of the target resource, and forecasts and fuses the degree of interest of the user according to the nearest neighbor result to obtain a recommendation scheme, and a parallel processing module which carries out off-line distributed calculation on the recommendation algorithm under a Hadoop cloud platform, and saving a calculation result.

The invention discloses a surface parking lot parking space guidance system and a guidance method thereof. The surface parking lot parking space guidance system comprises an information processor, a parking lot management terminal, an unoccupied parking space detection sensor, an approaching vehicle detection sensor and a parking space information guidance release terminal, wherein the parking lot management terminal, the unoccupied parking space detection sensor, the approaching vehicle detection sensor and the parking space information guidance release terminal are connected with the information processor. By using the surface parking lot parking space guidance system and the guidance method thereof, energy-saving and efficient guidance information release is realized.

A mixed bus type-based bus operation time control system and method. Bus routes are classified, and the city bus routes are divided into a part with significant difference and a part with non-significant difference according to the difference of passenger flow in peak and low-ebb periods, so that whether a mixed bus type bus operation mode needs to be adopted is determined; categories of buses of the mixed bus type bus operation mode include buses of a conventional-capacity bus type with M seats and buses of a small-capacity bus type with N seats; bus scheduling work is to determine the car type of a regular bus of each time and departure interval time; based on getting-on and getting-off data of passengers of each station and related data of bus operation cost and the like, an optimal departure interval of the buses of the conventional-capacity bus type of the shift and an optimal departure interval of the buses of the small-capacity car type are calculated; costs of the bus operation modes of the two bus types at the optimal departure intervals are compared, and the regular bus with the lowest cost is selected and executed; and the abovementioned steps are repeated till a time period is over.

The invention relates to a multi-user business data processing method and system. The method comprises the following steps: a group comprising a plurality of user terminals is built; a business dividing request for a least one business data packet is received from at least one of the user terminals; the business dividing request is responded to; according to user-defined parameters of the at least one user terminal, the business data packet is divided so as to obtain business data which should be submitted or received via each group members of the group, and division information comprising the business data is sent to a user terminal of at least one group member; a problem that business data which is generated by a plurality of users in activities is transmitted to a server end and is subjected to background real time business data processing operation is solved; complex activity data can be automatically recorded, processed and flexibly distributed; data processing efficiency, accuracy and safety and the like can be improved.

According to the multi-skill personnel scheduling method in the research and development project combination, which can solve the technical problems that a multi-skill personnel scheduling decision inthe research and development project combination is high in complexity and high in difficulty. The method mainly comprises the steps of generating an initial scheme of multi-skill personnel scheduling in a project combination according to a traditional serial progress production mechanism; Establishing a project combination multi-skill personnel multi-target scheduling model by considering the learning effect of personnel; When a learning effect and a plurality of scheduling targets are considered, applying a multi-target improved ant colony algorithm to iteratively solve the multi-skill multi-target scheduling model to obtain a Pareto solution set; And for the Pareto solution set, solving an optimal solution of the model by adopting an approximate ideal solution sorting method, and taking the optimal solution as a personnel configuration scheme for the project combination multi-skill personnel multi-target scheduling problem. On the basis of considering the cost and the constructionperiod of a traditional project personnel scheduling model, the personnel learning effect is further considered, the personnel skill training decision-making target is increased, rapid solving of themodel is achieved, and the decision-making requirements of enterprise managers are met.

The invention discloses a full-process three-dimensional dynamic safety management method of a building enterprise. According to the method, a bidirectional closed-loop operation mode is utilized. Through performing classification and identification processing on engineering projects which enter a safety risk evaluation database, an engineering project safety evaluation report is generated. An engineering project three-dimensional dynamic safety hazard monitoring model is established in a second-level enterprise layer and potential hazard early-warning information is issued. Real-time monitoring for sensor and video, and artificial regular checking and modification are performed at a project part. A safety accident is handled immediately. The three-dimensional dynamic safety hazard monitoring model is instantly updated. After the engineering project is finished, updating learning is performed on a safety risk evaluation database. According to the full-process three-dimensional dynamic safety management method, learning and reutilization are performed on safety management historical data of the building enterprise. Advanced forecasting, early warning and prevention are performed on the potential safety hazard. The safety event is reasonably handled immediately after occurrence. Safety of persons, fund and property in the engineering project of the building enterprise can be effectively ensured. Furthermore loss is reduced.

An intelligent wireless cabinet fire monitoring system comprises cabinet monitoring terminals of a fire detector, a fire controller, an automatic fire extinguishing device, etc. in the cabinet. The fire detector transmits detected temperature information, smoke information and fire information in the cabinet to the fire controller. The fire controller determines whether a fire disaster occurs according to the received data, and furthermore transmits a fire extinguishing instruction to the automatic fire extinguishing device for performing fire extinguishing operation. Simultaneously the fire controller stores the received data information and transmits the received data information to a monitoring host computer in a monitoring room in which the cabinet is arranged. The monitoring host computer is used for performing parameter setting, data displaying, early-warning analyzing, fire extinguishing controlling, history inquiring and decision supporting. The intelligent wireless cabinet fire monitoring system has the functions of monitoring an operation state in the cabinet in real time, intelligently determining the fire state in the cabinet, automatically performing a fire extinguishing treatment on the environment in the cabinet, and recording and storing the monitored data information from operation of the system, thereby performing intelligent prejudgement and analysis on the operation trend of the cabinet.

The invention discloses a multi-objective ant colony algorithm for the distribution disruption management problem. The multi-objective ant colony algorithm comprises the following steps: 1) generating initial optimal paths of a plurality of distribution vehicles before disruption according to a conventional algorithm, wherein the plurality of distribution vehicles carry out distribution according to the initial optimal paths before disruption; 2) establishing a distribution disruption management model according to the disruption problem; 3) when distribution is disturbed, applying the multi-objective improved ant colony algorithm to carry out iteration solving on the distribution disruption management model to obtain an optimal solution; and 4) serving the distribution path corresponding to the optimal solution as a disruption recovery path of the plurality of distribution vehicles. The multi-objective ant colony algorithm prevents too much intervention of manual weight setting of the multi-objective problem in the conventional algorithm, can realize fast solving of the distribution disruption management problem and meets the requirements for real-time performance and accuracy.

The invention provides a small- and medium-sized reservoir dam safety evaluating method based on GRA-BP (grey relational analysis and back propagation) neural network in order to overcome the defects of existing small- and medium-sized reservoir dam safety evaluating technology and method. The method comprises the steps of screening main factors influencing small- and medium-sized reservoir dam safety based on grey relational analysis method, and constructing a small- and medium-sized reservoir dam safety evaluation index system; generating a network training inspection sample; determining topological structure of the BP neural network; setting main training parameters of the BP neural network, initializing network connection weights and thresholds, and setting network training end conditions, error precision and training frequency; correcting the network by using L-M algorithm accumulative network global errors; entering the training and inspection samples to train and inspect the safety evaluating BP neural network, and finally constructing an intelligent dam safety evaluating model based on BP neural network. The method provides the functions such as comprehensive safety evaluation and hidden peril analysis, and is highly scientific, effective and practical.

The present invention relates to a sound signal anomaly identification method and device, and a storage medium, and relates to the field of terminal hardware maintenance. The method comprises the steps of: in a sound signal processing process, performing detection of output signals of each assigned sound processing module; when it is detected that the output signals of the first sound processing module is abnormal, generating log information according to the abnormal information of the output signals of the first sound processing module, wherein the first sound processing module is any one sound processing module in the assigned sound processing module. The sound signal anomaly identification method and device, and the storage medium can perform detection of anomaly of output signals of the assigned module in the sound information processing process to record the source and the type of the sound problem when the sound is abnormal so as to avoid collection of information irrelevant withthe abnormal sound and ensure the timeliness and the pertinence of sound signal anomaly detection and identification.

The invention discloses a power transmission line monitoring data transmission system comprising a central server and a plurality of first-layer data acquisition units; the plurality of first-layer data acquisition units are of a series structure, and the adjacent first-layer data acquisition units are in communication connection through a first-type transmission protocol and/or a second-type transmission protocol; The tail end node of the first-layer data acquisition unit is connected with the central server through a third-type transmission protocol; Each first-layer data acquisition unit isconnected with a plurality of second-layer data acquisition units through a fourth-type transmission protocol; Wherein the first type of transmission protocols are long-distance and large-data-volumetransmission protocols, the second type of transmission protocols are low-power-consumption and small-data-volume transmission protocols, the third type of transmission protocols are Internet of Things communication protocols, and the fourth type of transmission protocols are near-field communication protocols. The system can construct a network for transmitting data in a cellular-free mobile data network area, and can obtain the highest data transmission efficiency with the lowest energy consumption.

The invention provides an expressway traffic flow tracing and ramp regulation and control method combined with historical data, which can automatically and accurately regulate and control the trafficflow of an expressway without manual interference so as to relieve the blockage problem of the expressway and obtain a more accurate traffic regulation and control effect. According to the technical scheme of the invention, the method comprises the steps: obtaining the traffic flow proportion corresponding to each uphill ramp in the traffic flow of a congestion point of a to-be-adjusted road section according to the historical data of the traffic flow of the uphill ramps; and when a flow limiting control scheme is formulated for the uphill ramps, calculating the number of released vehicles ofeach uphill ramp and the duration time of the green light and the red light in the next control period of the to-be-adjusted road section according to the traffic flow proportion corresponding to eachuphill ramp.

The present invention discloses a meter reading data management system. The system comprises: collection clients, which are used for collecting power information of users, wherein a plurality of collection clients equipped can realize collection within a full range and multi regions, and improve collection efficiency; a data analysis subsystem, which is used for carrying out analysis and comparison respectively on the collected power information and reference power information, and determining whether there is a lacuna in the collected power information and the reference power information; and a data screening subsystem, which is used for inputting the collected power information consistent with the reference power information to a power collection information database, and inputting the collected power information inconsistent with the reference power information to a data report subsytem. Thus, an abnormal household can be found out in the collected user power information without screening meter information of each household by a meter reader.

The invention discloses an oxidization repair method for agricultural chemically contaminated soil. The method comprises the following steps of: blending an oxidant and agricultural chemically contaminated soil of which the weigh ratio is 1:2,000 to 1:5,000 at the temperature of 15 to 30 DEG C; adding 10 percent of water and 0.05 to 0.1 weight percent of pH adjuster into the mixture; stirring and blending, wherein the stirring time is 30 to 60 minutes and the pH value is 6 to 9; and placing the mixture on an outdoor open field. At the normal temperature, the oxidant performs continuous slow oxidation and reduction reaction on organics in the contaminated soil, and after 6 to 10 days of reaction, the removal rate of contaminant in the agricultural chemically contaminated soil is up to over 90 percent. The invention provides an effective treatment way to the treatment of the agricultural chemically contaminated soil; the adding amount of medical agents is low; the repair efficiency is high; and secondary harm to environment is not caused in a repair process.

The invention discloses a meter reading system based on an IoT platform. An ammeter collection client collects ammeter data, converts the ammeter data into an electric signal, and transmits the electric signal; an IoT gateway layer dynamically adapts and controls the ammeter data in an intelligent sensing layer, parses and stores the collected ammeter data, and then transmits the ammeter data to a network layer; and an application layer is provided with an access device of a browser. A controller module of a network penetrating server switches on/off the network penetrating server, and realizes remote access of an intranet address; an embedded Web server and a controller module thereof control resources of a Web page; a screen display module enables a user to check and control the ammeter data via browser software directly; and a gateway setting module includes network setting, time setting and account modifying. Thus, after that electric quantity information of users is collected, a meter reading staff needs not to screen all the meter reading information to search for abnormal users, the working efficiency is improved, and work is more accurate and targeted.

The invention discloses an intelligent medical comprehensive detection system. The system comprises an information acquisition unit, a data storage unit, a data detection unit, an abnormity feedback unit and a control unit; the control unit acquires identity information of a user through the information acquisition unit, analyzes the identity information to obtain the age and the sex of the user and looks up healthy body data corresponding to the age group and the sex in a first data module according to the age and the sex to serve as comparison body data; the control unit acquires actual body data of the user through the data detection unit, sends the actual body data to a second data module to be stored and compares the actual body data with the comparison body data, and when the actual body data exceeds the range of the comparison body data, the control unit sends an alarming instruction to an alarming module and sends the actual body data exceeding the range of the comparison body data to a display module to be displayed.