129results about How to "Guarantee effectiveness" patented technology

The invention provides an academic community system based on a massive knowledge network, comprising an information collection and storage module, which is used for collecting information provided by a network and users to form a knowledge network; an academic retrieval module, which is used for retrieving conferences, literatures, authors and field summaries in the knowledge network; an academic service module, which is used for serving individual demands of the users with the knowledge network; and a community module, which is used for information interactions among the users, as well as between the users and the knowledge network. By fully utilizing network resources, according to the academic community system provided by the invention, the knowledge network is formed to provide more retrieval and service functions and interaction interfaces between the users and a knowledge base, so that the scientific research demands of academic workers are met.

The invention provides a design method of an active defense system based on white list technology and a system, belonging to the technical field of safety. According to the design method of the activedefense system, the reliability of a white list source is guaranteed through collecting the Hash value of a legal copy operation system mirror image; network visits are reduced through generating andcustomizing a local white list library for a customer, the recognition efficiency of a program is improved to some extent, and the starting speed of a run program is guaranteed; the pragmaticality and recognition efficiency of the white list are guaranteed through acquiring a patch updated by an operating system in real time; a recognition function is trusted through an unknown program, the resource requirement on traditional white list technology is solved, and the non-limitation of the white list is guaranteed. The method and the system can be used for effectively solving the problem whicha blacklist confronts, and are reliable, efficient, pragmatic and non-limited in the realization of the active defense system design of the white list.

The invention discloses a planning method for recovering an autonomous underwater vehicle (AUV) through a guide cable of a surface unmanned ship. The recovery logical flow comprises the following steps: firstly, starting a recovery process after the AUV ends a task; secondly, judging whether data are abnormal or not; thirdly, judging the state of the AUV, if the state of the AUV is abnormal, performing state exception processing, otherwise issuing an instruction, and executing a next step action; and finally, take whether the recovery is successful as a criterion for judging the end of a logical flow. The invention has the beneficial effects that a planning method of coordinated docking recovery between the autonomous underwater vehicle and the surface unmanned ship is proposed specific tothe operation process of autonomous recovery of the underwater vehicle by the surface unmanned ship. The planning method includes the control strategies of start / stop of a recovery task, coordinatedcontrol of docking and re-planning after docking failure; the effectiveness of the whole recovery process is ensured through whole process planning adjustment; and the success rate of autonomous recovery of the underwater vehicle by the surface unmanned ship is greatly improved.

The invention aims to provide a fuzzy control method of an automobile nonlinear active suspension system. The method includes the following steps that A, an active suspension system model is established, the state control expectation of the active suspension system is preset, and fractional order differential of a control error signal is defined; B, a fuzzy controller is designed, the control error signal and the fractional order differential of the control error signal are adopted for the fuzzy controller to serve as input variables, and the suspension control force serves as controller output; C, road impact load simulation is conducted on the active suspension system model under the action of the fuzzy controller, and the order parameter of the fractional order differential of the control error signal is determined according to a comprehensive performance index function; D, the control error signal and the fractional order differential of the control error signal serve as the input variables of the fuzzy controller, the output control force of the fuzzy controller is obtained, and control over the actual active suspension system is finished. By means of the fuzzy control method, the problems that by means of an existing technical scheme, scale factors and quantifying factors restrain one another, and the calculated quantity is large are solved, and the fuzzy control method has the advantages of being accurate in control and efficient in calculation.

The invention discloses a linear deviation degree method-based agent path planning method, relates to an agent path planning method, belongs to the field of artificial intelligent researches, and aimsat solving the problems that the existing graph search type algorithms are high in calculation time complexity under complicated environments and the global path planning of the mobile robots is lowin working efficiency and instantaneity in known environments. According to the method, a model which is scaled down at a same proportion is established according to a practical environment and a coordinate system is correspondingly established; and intelligent nodes are added, paths unrelated to the added nodes are deleted, modeling is carried out on the basis of a linear deviation degree, screening is carried out according to a deviation angle, and finally a path node is searched to determine a finally found optimal path. The method is mainly used for the path planning of agents.

The invention provides an orchard soil improving type organic fertilizer which comprises 40 to 60 parts of an active humic acid material and 40 to 60 parts of a strengthening material by weight. The active humic acid material is prepared by treating natural humus acid according to a biological fermentation activation process. Through functional enhancement technology, dual goals of not only quickly increasing soil pH value, but also continuously improving soil organic matter level can be achieved.

The invention discloses an electronic control unit of an electromechanical braking system, which bases on CAN bus network communication. The electronic control unit comprises a CAN bus network, a major control node and four minor control nodes, wherein, the major control node receives signals sent by a travel route sensor of a brake pedal and four wheel speed sensors, and then generates a corresponding control signal which is sent to the CAN bus network; the minor control nodes receive own signals from the CAN bus network; the signals received by the minor control nodes go through certain processing and are sent to a braking motor; the braking motor then drives an executive mechanism to brake the wheel. The system of the invention can not only compensate for the defects that traditional hydraulic braking system has too long braking pipelines, excessive valve elements, braking hysteresis happening easily, long braking distance, environment contamination caused by braking liquid, and the like, but also maintain data communication with high efficiency and high reliability in a plurality of electronic control systems of automobiles, which has the function of integrating ABS, TCS, ESP, etc.

The invention discloses a modeling method of an ash content accumulation model of a diesel particulate filter. The modeling method comprises the steps that step 1, the status of an engine is checked;step 2, the diesel particulate filter is weighed initially; step 3, ash content is subjected to loading cycle; step 4, a regeneration mode is entered; step 5, a reference point is tested, the accumulation cycle of the ash content is completed, the next accumulation cycle of the ash content is carried out; step 6, the number times of the accumulation cycle of the ash content is confirmed; step 7, the diesel particulate filter is weighed, engine oil is replaced, and data are recorded; step 8, the running time of the engine is confirmed; and step 9, modeling is carried out for analyzing the corresponding numerical relationship between ash content accumulation and fuel consumption. According to the modeling method of the ash content accumulation model of the diesel particulate filter, the relationship between the ash content accumulation rate and fuel oil consumption and engine oil consumption can be established accurately, and the control accuracy and effectiveness of an ECU for the regeneration process of the diesel particulate filter can be ensured.

The invention discloses an obstacle detection method and system. The obstacle detection method comprises the following steps: acquiring laser radar point cloud data, wherein the laser radar point cloud data is detected by a single-line laser radar installed on a train; clustering the laser radar point cloud data according to the sequence number of the radar points in combination with a set maximumsearch range to obtain a plurality of clustering sets; extracting feature parameters of a target corresponding to each clustering set of the current frame according to the clustering sets, wherein the characteristic parameters comprise the number of radar points, an average azimuth angle, an average distance, a centroid position, average reflection intensity and reflection intensity variance; matching all the targets of the current frame according to the feature parameters of the targets corresponding to each clustering set of the previous frame; and when the matching succeeds, determining the target of the current frame as an obstacle target. According to the invention, the obstacle detection accuracy can be improved.

The invention discloses quasi-real-time data increment distribution middleware based on the Oracle Streams technology and a method. The middleware comprises a data source module, a message receiving and processing module and a data pool module, wherein the data source module is used for capturing operation information, generating a captured message queue, transferring the captured message queue to an application message queue, parsing messages in the application message queue and then transmitting the messages to the message receiving and processing module on a TCP (Transmission Control Protocol) server; the message receiving and processing module is used for receiving TCP messages, parsing the messages into asynchronous processing messages capable of being recognized by the server, further processing data according to set conversion cleaning rules and then transmitting the data to the data pool module; the data pool module is used for receiving processed data update and synchronizing the data to a plurality of heterogeneous target databases. According to the data increment distribution middleware based on the Oracle Streams technology, the effectiveness of data updating in a distributed environment is ensured, meanwhile, the additional load to a production library caused by data synchronization is effectively lowered, and the performance of the production library is guaranteed.

The invention discloses a method and device for collection of distributed logs. Processes executed on a client side comprise (1) data related to calling of a service system is collected when the service system in the client side calls middleware corresponding to the service system based on a request, and the collected data together with running time data of the middleware will be filled into log data; and (2) the log data is sent to a log collection server for uniform storage. According to the invention, some log data which can reflect service logics can be collected during working courses of a large-scale service system cluster in time.

The invention discloses a real-time human body action recognition method and a real-time human body action recognition device. The method comprises the following steps of acquiring a depth image of ato-be-recognized human body in real time; extracting the skeleton data of the human body in the depth image according to the depth image, and performing normalization treatment on the skeleton data, wherein the skeleton data comprises a joint point data set of human body key nodes; acquiring an action recording file, wherein the action recording file comprises a preset action recording file; setting a joint point combination according to the action recording file, and marking the starting position of actions in the action recording file; training the actions in the action recording file by utilizing a preset algorithm, extracting a feature vector and storing the feature vector into an action template file; recognizing the action of the to-be-recognized human body based on the action template file and the joint point data set, and outputting a recognition result. The human body action recognition accuracy can be effectively improved.

The invention provides a demand response effect evaluation method based on a demand response baseline. A demand response amount is determined according to a baseline executing a demand response and a load curve executing a demand response, the demand response amount is evaluated, a demand response effect evaluation factor is obtained, and the demand response effect evaluation factor reflects demand response effects. Based on parameter recognition, the demand response baseline is determined, and thus, a prediction speed is ensured, influence factors such as the weather are included in a consideration range, an accurate demand response baseline determination method is acquired, and a new idea is provided for calculating the demand response reduction amount. Due to the new calculation method for researching the demand response baseline, the potential of a user participating the demand response project is dug, the project effects are evaluated, the demand response participation enthusiasm is improved, a power company can be helped to make a more effective power grid scheduling scheme, reasonable power resource allocation is realized, and the power grid efficiency is improved.

This invention discloses a grid social management service system consisting of a technical support platform and subsystems. The grid social management service system establishes a basic data platform and an operation flow management platform which support the regional grid social management service system according to a constituted local social service management standardized specification system which is divided into parts of people, real estates, objects, organizations and houses, a regional community management grid partitioning and code specification, and an icon and legend standardized specification, and then the grid social management service system can process various events through various all subsystems, and generates real and fresh data from the practical working in grassroots units. The grid social management service system can guarantee the effectiveness of supporting the social management and improves the efficiency of the social management.

The invention discloses a digitized quantitative evaluation method of oilfield waterflooding process. The method comprises the following steps of 1, creating a waterflooding process precision management effectiveness evaluation index system structure; 2, creating each level evaluation element fuzzy judgment matrix; 3, according to the fuzzy judgment matrix, creating a fuzzy consistent matrix of evaluation elements; 4, according to the fuzzy consistent matrix, determining each evaluation index weight by using hierarchy rank-ordering; 5, combining oilfield waterflooding development status and waterflooding management check requirements, making a degree of membership table of different index ranges of each evaluation factor; checking the degree of membership according to the value of the eachevaluation factor, and obtaining quantitative results according to the weight. The digitized quantitative evaluation method improves the efficiency and timeliness of analysis evaluation; the digitized quantitative evaluation method takes full advantage of oilfield informatization construction achievements, ensures the timeliness and authenticity of data, has high accuracy, overcomes problems of difficulty in index data acquisition and the like, and provides basis for the quantitative management check of the waterflooding process.

The invention discloses a three-dimensional similarity test device and test method for mining of an inclined coal seam with an adjustable confined aquifer inclination angle, and relates to the field of confined water inclined coal seam mining similarity tests. The three-dimensional similarity test device comprises a test support, an internal frame, a model storage cavity, a loading plate, a horizontal loading system, a vertical loading system, a water pressure loading system, an inclination angle adjusting system, a signal acquisition and processing system, a three-dimensional test model and acoal seam mining simulation system. The test device realizes the adjustability of the inclination angle of the confined aquifer, the gradient distribution of the water pressure load of the aquifer and the authenticity of the stress state of the inclined coal seam in the vertical direction and the horizontal direction, and realizes the segmental and step-by-step excavation simulation of the coal seam in the closed space of the three-dimensional similar model; and the test device can truly invert generation, expansion and penetration of rock stratum fractures of the mining floor of the inclinedcoal seam on the confined water to finally form a dynamic evolution process of a water guide channel, and can better carry out prediction research on water inrush of the mining floor of the inclinedcoal seam with different inclination angles on the confined water in the strike of long-wall mining.

The invention discloses a method for managing an engineering site based on unmanned vehicle aerial photography and a building information model, and the method comprises the steps: firstly building athree-dimensional building information model of the engineering site, and building engineering construction stage progress models of different stages according to an engineering progress plan and an actual completion condition; a timing unmanned aerial vehicle aerial photography system is established, and the standardization and effectiveness of aerial photography are guaranteed; performing three-dimensional display on the progress condition of the building information model; and inserting the aerial photo into an engineering construction stage progress model, adjusting the position size to enable the image to be aligned with the model, finishing an engineering site construction management model for engineering site management, and implementing monitoring management of an engineering construction site according to the model. According to the method, the aerial photography of the unmanned aerial vehicle and the building information model are combined, the same-platform browsing of the aerial photography of the unmanned aerial vehicle and the building information model is realized, the correspondence between the aerial photography of the unmanned aerial vehicle and the spatial position of the building information model is ensured, and the real-time monitoring of an engineering site construction process is realized.

The invention discloses a failure task influence and traceability analysis method. The method comprises the steps of obtaining table data information and table generation rule information corresponding to a currently running HQL task; creating HQL task nodes in a preset graphic database according to the table data information; constructing dependency relationships among different HQL task nodes according to the generation rule information of the table, and constructing reverse dependency relationships among the different HQL task nodes to form an HQL blood relationship map; and when detectingthat a certain HQL task fails, performing influence and traceability analysis on the failed HQL task according to the HQL blood relationship map. The invention also discloses a failure task influenceand traceability analysis device, equipment and a storage medium. According to the invention, influence and traceability analysis can be automatically carried out on failed tasks, and the correctnessand effectiveness of analysis are ensured.

The invention provides a network terminal information processing method used for remote meter reading and a terminal information processing method, and relates to the technical field of communication. According to the network terminal information processing method used for remote meter reading, a heartbeat mechanism processing mode is adopted; when an inquire command is obtained each time, whether a terminal command corresponding a terminal code exists or not is inquired in a terminal command library according to the inquire command, the terminal command is transmitted to the terminal corresponding to the inquire command when it is judged that the terminal command corresponding to the terminal code exists, a network terminal obtains the inquire command transmitted by the terminal or transmitted by a specified command generation module every a certain time, and therefore the network terminal can know a code of the network terminal needing command issuing and transmits the terminal command to the corresponding terminal when the corresponding terminal command is locally stored. It is accordingly guaranteed that the network terminal can issue the corresponding control command to the terminal in time, and the control effectiveness of a terminal device is guaranteed.

A component mounter, a warning notifying device and a warning notifying method are provided, for increasing the reliability of transmission to an operator as the notification object who is notified of the warning, thereby the warning content can be effectively used for improving the production. The component mounter including a warning notification apparatus, which includes a warning generating unit (22a) which generates a warning for notifying the component mouter (50) that an action involving human resource is required, by referring to warning generation information (21a), a warning level judging unit (22b) which judges a level of the warning generated by the warning generating unit (22a) indicating difficulty of an action to be taken in response to the warning by referring to warning level judgment information (21b), and a warning notification unit (22c) which specifies an operator permitted to perform the action in response to the warning generated by the warning generating unit (22a) by referring to execution permission authentication information (21c), and outputs the warning notifying the specified operator of the warning.

The invention provides a processing method and device for predicting aerospace product assembly hours. The processing method comprises the steps of creating a process classification library and a textcorpus; sequentially selecting pre-selection processes in the process card database, and obtaining a pre-selection process text and a pre-selection text corpus of the pre-selection processes; performing text mining on the pre-selected process text according to a pre-selected text corpus to obtain a pre-selected text feature vector; when determining that all the processes in the process card database have been traversed, training a man-hour calculation model corresponding to each process type, and storing the man-hour calculation model in a man-hour calculation model library; and obtaining a man-hour prediction value of the to-be-executed process according to the description text of the to-be-executed process and the man-hour calculation model library. According to the invention, the man-hour calculation model based on the process text features is constructed to carry out man-hour prediction, the problem that the current man-hour prediction is not suitable for aerospace products is solved, the accuracy and effectiveness of aerospace product assembly time prediction are ensured, and the production efficiency is further improved.

The invention discloses a processing method for a queue operation. The method includes the following steps: obtaining a queue number of a queue to which message information to be processed belongs; querying storage location information and address information of a queue descriptor corresponding to the queue number in a mapping table; obtaining the queue descriptor according to the storage locationinformation and the address information of the queue descriptor, moving the queue descriptor to a register, and updating the storage location information and the address information of the queue descriptor corresponding to the queue number in the mapping table; and performing a queue operation on the message information to be processed according to the queue descriptor, and updating the queue descriptor according to the queue descriptor and the updated storage location information and address information of the queue descriptor after the queue operation is performed. The invention also discloses a processing device for the queue operation at the same time.

The invention relates to a security event merging processing method and device, electronic equipment and a storage medium. The method comprises the steps: obtaining security event data which includesan attack IP, an attacked IP and an event type; constructing an attack relation graph by taking the attack IP and the attacked IP as nodes; determining all connected sub-graphs included in the attackrelation graph; determining priorities of the connected sub-graphs, wherein the more important the connected sub-graphs are, the higher the priorities of the connected sub-graphs are; and outputting the security event data corresponding to each connected sub-graph based on the priority of each connected sub-graph. The essence of the technical scheme of the embodiment of the invention is that the most concerned event is extracted from massive security events to be aggregated, and an aggregation event is subjected to enhanced analysis and priority arrangement on the basis so that security operators can carry out associated disposal on a plurality of events, and can preferentially dispose the events with greater threats at present.

The invention requests to protect a photovoltaic power generation big data prediction method based on feature conversion multi-label learning. The method comprises the following steps: 101, carrying out preprocessing operation on data; 102, dividing training set data and verification set data according to historical data and time; 103, performing feature engineering operation on the historical data of the photovoltaic power station; 104, performing feature selection based on the AUC maximum value on the data set with the constructed features; 105, establishing a plurality of machine learning models, and constructing an algorithm model based on feature conversion multi-label learning; 106, accurately predicting the power generation condition of the photovoltaic panel according to the data of the photovoltaic power station based on an algorithm model of feature conversion multi-label learning. According to the historical data of the photovoltaic power station, whether the power generation of the photovoltaic panel reaches the standard or not every day in the future week is predicted, the performance of the photovoltaic panel body is effectively guaranteed, and therefore data supportand decision support are provided for national power input.

The invention provides a recognition processing method and a recognition processing device for signaling data on an internet protocol (IP) data link function layer. The device is connected between communication network nodes and transmits data through a data link layer, wherein the data link layer comprises a data link function unit; the recognition processing device comprises a content service control module; the data link layer transmits the detected acknowledged data message to the content service control module for processing; and after the message is subjected to recognition processing, the message is transmitted to the data link. By changing specified contents of the signaling message only, the existing protocols are not modified, session function of the IP layer and various upper protocol layers is not needed to be realized, call establishment and information transmission are controlled, network node equipment operating on the communication network is prevented from being modified or upgraded, and effectiveness, operability and feasibility of introducing novel services or upgrading the existing services are guaranteed.

The invention discloses a multi-user collaborative document editing method, which is applied to a server, and comprises the following steps: receiving a synchronization request sent by a first client,the synchronization request comprising editing operation information for editing a document and second client determination information; analyzing the synchronization request to determine the editingoperation information and second client determination information; determining a to-be-synchronized second client according to the second client determination information; and sending editing operation information to the to-be-synchronized second client to realize synchronous editing of the document on the to-be-synchronized second client. By receiving a synchronization request sent by a client and used for carrying out editing operation synchronization through a server, the editing operation is synchronized to other clients with the collaborative authority, and the staff at each client can correspondingly adjust or modify own edited content in time according to the edited content of each client, so that the effectiveness of the edited content is greatly ensured, and the working efficiency is improved.

The invention belongs to the technical field of electronic commerce, especially an e-commerce system based on big data and cloud computing, including a terminal module, the output end of the terminalmodule is electrically connected with the input end of the system login module, the output end of the system login module is electrically connected with the input end of the electronic commerce platform, the electronic commerce platform is respectively electrically connected with a system management module, a Cloud platform server and a big data platform, the invention provides an electronic commerce system based on big data and cloud computing, Based on big data and cloud computing, the speed and efficiency of data processing are improved, the performance of the system and the effectiveness of the data are ensured, the stable development of the e-commerce platform is promoted, users and merchants are enabled to maximize the benefits through sharing information, and the competitiveness ofe-commerce is effectively improved. The system has good scalability and is easy to maintain, facilitates the sharing of commodity data, and is convenient to use.

The invention discloses a digital certificate and electronic seal system and an implementation method for an electricity trading system. Core confidential data in the electricity trading quotation process are electronically signed and encrypted by a centralized price competition trading encryption implementation method, safety protection measures are provided for the core data, and data safety, confidentiality and undeniable and anti-tamper properties are ensured. Declared prices of users in price competition need to be encrypted by a certificate in the system. The system solves the problems that the price competition data of the users are easily leaked and tampered in a traditional digital environment, bidding data in the digital environment are easily leaked and decrypted in advance, and integration and synchronization are needed in an internal and external net isolation environment.

The invention provides a digital improved verification system for an analog control system of a nuclear power plant. The system includes a simulation system body, an analog meter control system body,and a digitalizer control system body; the simulation system body is used for analogue simulation of real-time operation state of the nuclear power plant, the analog meter control system body is connected with the simulation system body and used for using the simulation system body as a control object and implementing various logic control functions in an analog control mode, and the digitalizer control system body is connected with the simulation system body and used for using the simulation system body as the control object, implementing various logic control functions same as these of the analog meter control system body in an analog control mode, and verifying the equivalence between the digital logic control functions and the corresponding logic control functions in the analog meter control system body. The system has the advantages that it can be ensured that the digital control system retains the functions and performance of an original simulation system after digital improvement.

The invention relates to a method for quantitatively characterizing contribution of flow field shearing to interface free energy of an oil-water emulsification process, and the method comprises: (1) deformation description of oil-water emulsified droplets under the flow field shearing; (2) establishment of the relationship between flow field shear stress and emulsified oil droplet-water interfacetension; (3) acquisition of deformation characteristic parameters of the oil-water emulsified droplets under the flow field shearing; (4) correlation between flow field shear energy and interface freeenergy change of the oil-water emulsification process; (5) quantitative characterization of the contribution of the flow field shearing to the interface free energy of the oil-water emulsification process; and (6) repetition of steps (2) to (5) to quantify flow field shear energy and interface free energy change of the oil-water emulsification process in an another physical oil-water medium, or another characteristic flow field to realize the quantitative characterization of the contribution of the flow field shearing of different properties to the interface free energy of different physicaloil-water emulsification processes. The method solves the problems of description of oil-water emulsification behaviors and deformation microscale and stress of the emulsified droplets in the shear flow field of an oil field gathering and transportation system.