683results about How to "Avoid randomness" patented technology

The invention relates to a system and a method for open intelligent management of a laboratory. The system comprises a server and a client, wherein the server comprises a university level platform node server and a plurality of college level platform node servers; the university level platform node server performs data communication with a university shared data base through a data communication module and a synchronous module, and performs data communication with the college level platform node servers through the data communication module; the client is connected with the server through a campus network inside a university and through the INTERNET outside the university; and the client comprises a laboratory management control system and an intelligent laboratory management system. The method comprises the management of experiments or experiment courses specified in a teaching program and the management of open experiments or equipment usage outside the teaching program. According to the invention, all-day open of the laboratory can be realized, and the working efficiency of laboratory management personnel can be greatly improved.

The invention discloses a reconstruction method for image super-resolution. The reconstruction method comprises the following steps of: (1) inputting a low-resolution image sequence of m frames represented by vectors in the same scene; (2) processing all low-resolution images by adopting a bilinear interpolation method, and acquiring initial high-resolution image estimated values, namely initial estimated values; (3) substituting the initial estimated values into an iterative formula, and performing iterative computation; (4) judging whether iterative convergence conditions are met or not, stopping iteration if the iterative convergence conditions are met, and outputting a high-resolution image. The reconstruction method for the image super-resolution provided by the invention has wide application prospects in the fields such as video and image processing, medical imaging, remote sensing images and the like.

The invention discloses a recurrent neural network (RNN)-based social network message bust detection method and system, and relates to the technical field of popularity prediction of contents in social networks. The method comprises the following steps: acquiring history messages published and forwarded by a user in a social network, and preprocessing the history messages to obtain a history forwarding time sequence; carrying recurrent neural network training on the history messages and the history forwarding time sequence, and generating a prediction model; and acquiring messages published and forwarded by the user in real time, generating a forwarding time sequence according to the messages, inputting the forwarding time sequence into the prediction model to generate feature expressions, inputting the feature expressions into a fully-connected neural network to carry out classification, and outputting the classification result in a softmax manner so as to complete the social network message burst detection.

The invention discloses a method for optimizing a power generation plan in a mode of tracing scheduling of an annual electric quantity progress. The method comprises the following steps of: firstly, calculating a currently-expected power-output plan of a machine set by taking annual progress control as a target; and secondly, optimizing and calculating the power generation plan of the machine set by taking a minimum deviation of the expected power-output plan as the target and considering all kinds of constraint conditions. A reasonable scheduling plan is made by two-stage decision links of expected plan making and optimization of a safety constraint power generation plan, the effective synchronous execution of a contract electric quantity is guaranteed, safe and fair united optimization is realized, and the intelligent level and decision making capacity of power generation scheduling can be improved conveniently. Meanwhile, the method is characterized by low calculation strength and strong adaptability and is more suitable for promotion and application in scheduling institutions at all levels in China.

The invention discloses an engine fault prediction method. The method comprises the following steps that effective measurement data of a plurality of sensors of an engine are obtained; the effective measurement data are subjected to normalization processing; the effective measurement data obtained after normalization processing are sliced, and a plurality of slice samples are formed; the multiple slice samples are sent into a deep nerve network to be subjected to feature extraction, and after feature extraction, the slice samples are connected to a fully-connected network; and according to output of the fully-connected network, classification is conducted through a softmax classifier, and the left service life of the engine is determined. According to the provided engine fault prediction method, the process is small, operation is easy, and the engine fault prediction method can be widely applied to various engines of aircraft.

The invention discloses a microgrid multi-objective optimization scheduling method considering electric vehicle random access. Microgrid operation cost minimization, pollutant treatment cost minimization and load variance minimization serve as three objective functions of a multi-objective scheduling model, and the randomness of accessing a microgrid by an electric vehicle is simulated through a Monte-Carlo simulation method; and when various constraint conditions are met, the model is solved by adopting a multi-objective particle swarm algorithm, and output power of each distributed power supply, total charge-discharge power of the electric vehicle and interactive power of the microgrid and a main power grid in each time period of a scheduling cycle are determined. According to the method, the randomness of accessing the microgrid by the electric vehicle is fully considered, and a battery of the electric vehicle serves as a mobile distributed energy storage apparatus to access the microgrid, so that the peak-load shifting effect is achieved, the economy and stability of microgrid operation in a time-of-use power price environment are improved, and the pollutant discharge of a microgrid system is reduced.

The invention belongs to the field of social network analysis, and discloses an information situation awareness and propagation management and control model based on node influence. The model comprises a data acquisition module, a characteristic extraction module and an information situation awareness and propagation module, wherein the data acquisition module obtains source data from a social network, obtains the personal attribute, the historical behavior and the friend relationship of a node from the source data, and constructs an information propagation network; the characteristic extraction module independently extracts characteristics from two dimensions including a network dynamic attribute and an interaction dynamic attribute, and independently calculates corresponding factor functions; and the information situation awareness and propagation module constructs the information situation awareness and propagation management and control model on the basis of a mean-field theory, simulates an information propagation tendency, perceives an information diffusion tendency, captures the peak hour of information outburst, and mines a dynamic factor which drives the information to be propagated. By use of the method, the dynamics reason of the information propagation in an on-line social network can be effectively explained, an information propagation evolution situation in the social network is perceived, and the method can be widely applied to the relevant field of information propagation.

The invention discloses a simulation method of a shield tunnel joint structure, which is characterized by comprising the steps of: (1) setting joint units: dispersing joint contact surfaces into a plurality of nodes, wherein the nodes are mutually connected by the joint units of simulation springs, circumferential upper joint units have a plurality of layers to respectively simulate force transmission liners, bolts and gaskets in real joints, and the types of the joint units at the same layer are the same; (2) setting the rigidity, the boundary condition and the joint initial displacement Delta1 of initial springs; (3) applying load; (4) examining a first joint unit; (5) setting the normal rigidity of the spring according to the type of the joint unit; (6) judging whether all the joint units are set, if so, starting the next step (7), and if not, examining the next joint unit and retuning to the step (5); (7) counting the real displacement delta 2 of the joints; and (8) comparing the delta1 with the delta2, if the difference between the two is in the allowed range tol, completing the account, and counting the deformation of the joints in the tunnel, and if the difference between the two is over the allowed range, counting the imposed load of the tunnel according to the delta2, and returning back to the step (3) to reapply the load. Based on the structure characteristics of theliner structure joints, the method builds the mechanical model of the liner structure joints, dynamically adjusts spring parameters in the process of counting according to the obtained node spring stress or the normal displacement, and uses joint models to count the whole ring liner structure. The method can consider the performance of the circumferential joints and the longitudinal joints of theliners, count the inner force and the deformation of the duct pieces and the joints of the liners, and more exactly show the status of deformation and force of the duct pieces.

The invention discloses an automatic updating processing method for increments of a land utilization vector database. The automatic updating processing method includes the steps of (1) extracting change information through remote-sensing image comparison, and storing the change information into an change-only information file according to a specific format, (2) reading in the change-only information file, calculating topological relationships between increment targets and existing land utilization land parcels, filtering out the existing land parcels which are two-dimensionally intersected with the increment targets, and calculating subdivision topological relationship types of two-dimensional intersections, (3) automatically constructing updated land parcel targets according to a land utilization increment updating processing rule based on the subdivision topological relationship types of the two-dimensional intersections, and giving corresponding characteristic attribute types, and (4) after updating processing is carried out on all the targets in the change-only information file, detecting the data quality of all the processed land parcel targets and the coincidence between the processed land parcel targets and the targets on the peripheries of the processed land parcel targets, solving corresponding problems or conflicts, generating new land utilization data, and updating the database.

The invention discloses a gun information fingerprint intelligence management system, which includes guncabinet, biological fingerprint recognition confirmation unit and microcomputer information management unit, fingerprint recognition confirmation unit includes fingerprint sensor and fingerprint recognition control unit, microcomputer information management unit includes server, gun cabinet message control computer terminal, usercomputer terminal and information management system module, guncabinet message control computer terminal connected with gun cabinet, the gun cabinet message control computer terminal and the usercomputer terminal is separately connected with the server, information management system module connected with gun cabinet message controlcomputer terminal, fingerprint sensor connected with the fingerprintrecognition control unit; The gun cabinet electrically controlled lock connected with the fingerprint recognition control unit. This invention has the merit of guns information to be able the automatic immediate production and may realize long-distance sharing, the security which the guns manages is good, the guns deposit and withdrawal rapid convenience and may the long-distance control, especially be suitable to the public security organ uses.

The invention relates to a method for designing a tunnel composite lining based on a total safety factor process. The method comprises the following steps: confirming a surrounding rock pressure representative value of the composite lining; confirming a total safety factor of the composite lining according to the support type; primarily distributing the confirmed total safety factor of the composite lining, thereby acquiring respective safety factors of spraying layer, anchor rod-surrounding rock bearing arch and secondary lining; confirming parameters of spraying layer, anchor rod-surroundingrock bearing arch and secondary lining according to a distribution result of each safety factor and a corresponding load structure model; acquiring a load proportional coefficient of composite structure in general damage stage by adopting a composite structure model according to the parameters of spraying layer, anchor rod-surrounding rock bearing arch and secondary lining; acquiring strength matching degree of support components by comparing the relationship between the load proportional coefficient and the sum of the safety factors of spraying layer and secondary lining; comprehensively analyzing and selecting an optimal supporting scheme according to multiple sets of supporting parameters confirmed on the basis of multiple sets of distribution results of total safety factor and throughcomparison and selection of strength matching degree, economic efficiency and practicability.

The invention discloses an electric vehicle charging station modeling method for reliability assessment of a power distribution network and application of the electric vehicle charging station modeling method. The method is characterized by including the steps: 1, establishing an electric vehicle running status time sequence model; 2, establishing an electric vehicle spatial and temporal distribution model; 3, on the basis of a dijkstra algorithm, calculating the sum of power batteries available for centralized charging in each charging station; 4, establishing a charging station output time sequence model based on reliability assessment; 5, adopting a Monte Carlo simulation method for realizing reliability assessment of the power distribution network with electric vehicles, and carrying out statistics of reliability indexes. Establishment of a more practical electric vehicle output model can be realized, centralized optimal control of the electric vehicles is improved, utilization rate of the electric vehicles serving as energy storage devices is increased, pressure of power shortage in load peak of the power distribution network is relieved, and accordingly reliability of the power distribution network can be further improved.

The invention provides a telescopic crossed yoke fluorescent magnetic powder inspection machine. A crossed yoke comprises a fixed yoke parallel to the surface of a workpiece to be tested and a moving yoke perpendicular to the surface of the workpiece to be tested, the moving yoke passes through a sliding bushing and is in sliding connection with the fixed yoke, and the moving yoke is provided with a pressure spring. The invention successfully realizes that each magnetic pole of the magnetic powder inspection machine has telescopic function so as to closely contact the workpiece by dividing the crossed yoke into the fixed yoke and the moving yoke, thereby guaranteeing the magnetic-field intensity during the fault detection. The magnetic powder inspection machine is also provided with a CCD image acquisition device, and realizes the program control of working procedures of feeding, magnetization, CCD observation and discharge as well as on-line detection monitoring and automatic fault detection through the program control operation of a PLC.

The invention discloses a chemical fault detection method based on particle swarm optimization and a noise reduction sparse coding machine. The method comprises the following steps of carrying out unsupervised feature learning on standardized and whitened training data by using a plurality of stacked noise reduction sparse autocoders; carrying out Softmax classifier model training in a supervisedmanner; and finally, finely adjusting the weight parameters of the whole network through supervision, and introducing a particle swarm optimization algorithm into the key adjustable hyper-parameters for automatic optimization to obtain a trained chemical process fault detection intelligent model for fault detection of process real-time data. According to the invention, the greedy layer-by-layer training method of the deep neural network is adopted to adaptively and intelligently learn knowledge implied by original data in the chemical process; Compared with a traditional method, the method hasthe advantages that the method is more intelligent, the fault detection performance can be improved, and due to the fact that an automatic optimization algorithm is added, much time is saved comparedwith manual parameter tuning.

The invention provides a system for soil compactness measurement and automatic adjustment of finely prepared land. The system includes a soil compactness measurement mechanism, a compression depth automatic adjustment mechanism and a controller; the soil compactness measurement mechanism includes vertical pulling pressure transducers, horizontal pulling pressure transducers and monitoring wheels;the compression depth automatic adjustment mechanism includes a transverse girder, an electric cylinder and a compression roller; the controller collects the acting force performed by the soil on themonitoring wheels in the horizontal and vertical directions and measured by the pressure transducers, and obtains the soil compactness after fine soil preparation online according to a created relationship model of force performed on the monitoring wheels, the compression depth and the soil compactness; the controller feeds back and adjusts the compression depth of the compression roller in real time according to the relationship between the compression depth and the soil compactness to make the soil compactness maintain within a set target value range, and the soil compactness can meet agricultural technological requirements of planting of different crops. The system can effectively prevent differentiation of the soil compactness due to unreasonable compression depth, improve the operation quality of fine soil preparation machines and the adaptability of the fine soil preparation machines to different soil environments.

The invention relates to an automatically control system of activated carbon preparing course, and its characteristic: according to the technical parameter signals collected by detecting components and a fixed program, the computer in the control system drives the air quantity regulating valve of carbonization furnace air supply system, the electric regulating value of activation furnace, the electric steam value of activation furnace, the discharging valve of activation furnace and the air and fume gate to implement the automatic control of the temperature of carbonization furnace, the temperature of activation furnace, the steam flow of activation furnace, the activating time, and the mutual conversion between heating and cooling of two half-furnaces. It avoids the liberty of artificial control, replaces artificial and experiential control method with scientific and programmed control method, and effectively controls the conditions of carbonization and activation in producing course, reduces loss rate by burning, etc.

The invention relates to a trinity monitoring and analyzing method for rock stratum control, and belongs to the field of mining engineering. Mine pressure in a pit is collected by observing a pressure monitoring device arranged on a goaf and a pressure sensor arranged on a hydraulic support; cover rock migration is observed based on the structural position of a key cover rock layer, an inner rock migration multi-point displacement meter is arranged through surface drilling, and mining dynamic cover rock breaking motion data are monitored through based on drilling television equipment; and subsidence data are obtained by observing surface subsidence through GPS. According to the trinity monitoring and analyzing method for the rock stratum control, the action law and influence degree on the mine pressure in the pit of the breaking motion of each key cover rock layer can be researched; the trinity monitoring and analyzing method for the rock stratum control can be used for determining the location of the key layer which causes the appearance of strong mine pressure and disasters; and based on that, breaking of the key layer can be intervened artificially to achieve scientific control over the mine pressure in the pit.

The invention relates to a distribution network data processing method based on a mobile GIS (Geographic Information System) and RTK (Real Time Kinematic) positioning. The method comprises the following steps: performing data preparation and storage; implementing a Web application server subsystem; implementing a geographic information subsystem; implementing a distribution network data management subsystem; implementing a task and form data management subsystem; implementing a document management subsystem; implementing a mobile terminal operation subsystem; implementing an RTK coordinate acquisition subsystem; and executing a distribution network patrol task. Through adoption of the distribution network data processing method, the working efficiency of data processing by distribution network equipment is increased; the production services of patrol, overhauling and the like are effectively extended to a job site; the service continuity and efficiency are realized; the on-site working quality and efficiency are improved; the mapping precision is increased; on-site working procedures are effectively standardized and guided; the operation cost is lowered; repeat operation is avoided; and a standard service flow combined with mobile operation is established.

The invention discloses a database management platform. The database management platform comprises a host management module, a group management module, an intelligent name system DNS (Domain Name System) management module and an instance management module, wherein the host management module is used for mounting a host of a MySQL database in the database management platform to bear database instances by the host; the group management module is used for setting instance groups and dividing the database instances of data with same operation into same instance groups, establishing logic correspondence between the instance groups and domain names, assigning a unique domain name to each instance group according to the logic correspondence and generating an instance group record for each instance group; the intelligent name system DNS management module is used for maintaining a dynamic DNS record for each managed domain name; the instance management module is used for maintaining an instance record for each managed database instance and realizing online operation and offline operation of the database instances according to the instance group records of the instance groups to which the database instances to be loaded on line belong, the instance records of the database instances and the dynamic DNS records.

The invention discloses a test device for testing horizontal and vertical saturated infiltration coefficients of coarse-grained soil simultaneously indoors under different pressure. The device comprises a loading system, a water supply system, a soil sample chamber and a pressure measurement system, wherein the loading system comprises a reaction frame, a pressure adjusting valve, a gas-pressure meter and a double-layer loading plate; the double-layer loading plate is a hollow hexahedron and comprises an upper-layer porous plate, a lower-layer porous plate, a middle partition board and a sideinclined plate; the water supply system comprises a water supply tank, a water storage tank, a vertical water supply cavity formed by the double-layer loading plate, a left horizontal water supply cavity and a right horizontal water supply cavity; each of the left horizontal water supply cavity and the right horizontal water supply cavity is formed by an outer porous plate, an inner porous plate and a silicon base plate filling a gap between the two porous plates. The horizontal and vertical saturated infiltration coefficients of the same sample are simultaneously tested under different pressures, the test device is not required to be dismounted in the testing process, the test device is convenient to operate, and the testing efficiency and accuracy are greatly improved.

The invention relates to a video terminal networking authentication method, an authentication server and a video terminal. The method comprises the steps of: receiving a hardware serial number reported by the video terminal; matching in a legal serial number list according to the hardware serial number; and when uniform hardware serial numbers are obtained after matching, confirming the video terminal authentication to pass. The authentication server comprises a receiving module used for receiving the hardware serial number reported by the video terminal, and an authentication module connected with the receiving module and used for matching in the legal serial number list according to the hardware serial number. The video terminal comprises: a serial number module used for storing the hardware serial number, a reporting module connected with the serial number module and used for reporting the hardware serial number when logging on the authentication server. By adopting the technical means of arranging the authentication server to verify the hardware serial number at the video terminal, the invention avoids haphazardry of terminal equipment networking, is beneficial to centralized management by an operator and improves the quality of video service.

The invention discloses a soil landslide monitoring, early warning and evaluating method which comprises the following steps: S1, acquiring landslide topography and geological data to be monitored, and acquiring a rock-soil parameter test value through an indoor test; S2, establishing a landslide geologic model, carrying out limit analysis, determining a landslide damage mode and carrying out landslide monitoring; S3, uniformly designing parameter combinations for the rock-soil parameter test values, performing finite element calculation on all the parameter combinations to obtain a displacement field calculated by each parameter combination, and recording the displacement of each monitoring point to obtain a 'parameter combination-displacement' neural network model; S4, according to the landslide real-time cumulative displacement monitoring data and the parameter combination-displacement neural network model, performing rock-soil parameter inversion correction, obtaining rock-soil real-time strength parameters, and performing precision inspection; and S5, performing limit analysis by adopting real-time strength parameters, establishing a 'real-time cumulative displacement-safety coefficient' relation curve, establishing a landslide monitoring three-level early warning grade evaluation system, and evaluating the monitored landslide.