33results about How to "Reduce Analysis Complexity" patented technology

The invention discloses a method for establishing a multi-level virtual maintenance training system for vehicles with complex equipment, comprising the steps of: 1. Collecting information about the entire vehicle with complex equipment and its components; 3. Optimizing the visual display of 3D rough models and 3D fine models for virtual disassembly and assembly; 4. Establishing the optimized virtual disassembly of 3D fine models for virtual disassembly 5. Construct a multi-level virtual maintenance self-learning training mode for complex equipment vehicles; 6. Construct a multi-level virtual maintenance guidance training mode for complex equipment vehicles; 7. Construct a multi-level virtual maintenance autonomous training mode for complex Integration and packaging of multi-level virtual maintenance training system for equipped vehicles. The present invention establishes a rough model and a fine model, the training is smooth, the degree of reality and immersion is good, and the virtual decomposition and assembly object model and its hierarchical relationship are established to facilitate the later virtual maintenance training.

A three-dimensional terrain trafficability analytical method for an autonomous land vehicle comprises the step of information perception, wherein movement state information and environmental information of the current vehicle are obtained; the step of track searching and generation, wherein track preliminary searching is carried out according to the current vehicle position and a final target position, and a local track set of possible movements of the vehicle is generated; the step of terrain analysis, wherein the contour line of the current terrain is drawn according to obtained terrain altitude data, the intersection point of a candidate track and the contour line is found according to a vehicle speed v, the terrain characteristics of track curved sections formed by a lower intersection point of the contour line and the current position of the autonomous land vehicle are analyzed, and a basic terrain factor is calculated; the step of trafficability analysis, wherein the cost of each track curved section formed when the vehicle passes is calculated by combining dynamic constraints and kinematical constraints of the vehicle, so that a cost chart is constructed; and the step of route planning, wherein the optimal route is searched with the cost chart serving as heuristic information. The three-dimensional terrain trafficability analytical method for the autonomous land vehicle has the advantages of being simple in principle, easy and convenient to operate, high in identification accuracy, efficient in calculation and the like.

The invention provides an electrocardiosignal data acquisition and processing method and system. The electrocardiosignal data acquisition and processing system comprises a data processing unit which comprises a data analysis unit. The data analysis unit comprises an RR interphase preprocessing unit and an instantaneous feature extraction unit. The RR interphase preprocessing unit is used for preprocessing an RR interphase sequence, so that a signal bandwidth of an RR interphase is enabled to fall in a frequency bandwidth requested by the best amplitude frequency features of the Hilbert transform. The instantaneous feature extraction unit is used for extracting instantaneous amplitude features and instantaneous frequency features of the RR interphase sequence. The electrocardiosignal data acquisition and processing system has the advantages that through acquisition and processing of the electrocardiosignals, complexity of data analysis is reduced, and amount of calculation is decreased; the system is simple in design, low in cost and convenient to apply.

The invention provides a flow determining method and device for a natural circulation loop as well as a server. The method comprises the following steps: obtaining a mathematical model of the natural circulation loop of a reactor and parameters of a coolant; according to a computational fluid dynamics principle, a reactor core heat exchange section model and a preset initial loop inlet flow rate, determining the average temperature of various sub-heat exchange section models; according to a natural circulation pressure drop balance principle, the average temperature, the reactor core heat exchange section model, a steam generator heat exchange section, a pipeline section model and the parameters of the coolant, determining a natural circulation steady-state inlet flow rate; then in combination with the natural circulation steady-state inlet flow rate and a preset rocking condition, determining the change function of the average temperature of the various sub-heat exchange section models under the rocking condition; based on a principle similar to the determining of the natural circulation steady-state inlet flow rate, determining the change function of the natural circulation inlet flow rate of the coolant under the rocking condition. According to the invention, the analysis efficiency is improved while the accuracy of the analysis result of the natural circulation flow change under the rocking condition is ensured.

The invention discloses a large-scale complex equipment hierarchical association optimal cut set virtual disassembling and assembling sequence planning method. The method comprises the steps of 1, constructing a multi-level relationship disassembling and assembling tree model of a large-scale complex equipment disassembling and assembling object; 2, establishing an association relationship disassembling and assembling network model of disassembling and assembling objects; 3, generating a disassembling cut set; 4, obtaining a mechanical feasibility disassembly initial planning sequence; 5, verifying a mechanical feasibility disassembling initial planning sequence; and 6, obtaining a final planning sequence of mechanical feasibility assembly. According to the method, the hierarchical relationship of the disassembled object is considered; a disassembling and assembling sequence is planned by fusing and describing the mutual association relationship between the disassembling object part nodes and the assembling nodes; the structure of the disassembling and assembling object is well reflected, the number of elements of each layer is reduced, the analysis complexity of the disassemblingand assembling object is reduced, the collision real-time detection method of the space-time correlation tracking strategy is used for verifying the mechanical feasibility disassembling initial planning sequence, and the final disassembling and assemblling sequence between each part node and each assembly node can be planned.

The invention provides a follow-up determining method and device. The method comprises the steps that all passing vehicle data within a time range between a start time and an end time of follow-up analysis are acquired; according to the passing vehicle data, gates passed by each vehicle within the time range and the time of passing each gate are determined; for each vehicle, subsets of a gate set passed by the vehicle in the time range are determined according to the minimum number of times of follow-up; if a first target vehicle and a second target vehicle comprise the same subset, and the time difference between first and second target vehicles passing gates corresponding to the same element in the same subset is equal to or less than a preset time difference threshold value, the first target vehicle and the second target vehicle form follow-up. According to the invention, the efficiency of follow-up determining can be improved.

The invention discloses a data conversion method used for data conversion between acquisition data and alarm data of an operation and maintenance system; according to a preset mapping relation between acquisition data type and alarm data type and a mapping relation between acquisition data file and alarm data field, the method can realize positive conversion which is to convert acquisition data into alarm data, and can realize reversed conversion which is to convert alarm data into acquisition data. The alarm data obtained by positive conversion can provide more comprehensive alarm information for operation and maintenance people, thus reducing operation and maintenance data analysis complexity for the operation and maintenance people, solving alarm data loss problems caused by increasing system device, and reducing video cloud storage operation and maintenance platform fault processing flow operation complexity; on the other hand, the acquisition data obtained by reversed conversion can be pushed to the a front end display system, thus enhancing real time display of equipment under abnormal state, and providing more accurate equipment fault information for the operation and maintenance people.

The present invention relates to a single exon copy number variation prediction method based on target region sequencing, including two steps of sequencing data processing and copy number variation prediction, wherein the copy number variation prediction step includes counting the total number of sequencing sequences covering the target region The target and total number of bases, determine the control exon region, normalize the coverage of the exon region to be analyzed for each control sample and experimental sample, and calculate the average of the coverage of the exon region to be analyzed in the control sample after normalization , standard deviation and coefficient of variation to predict the copy number change steps of the exon region to be analyzed. The present invention does not rely on whole-genome sequencing, but directly uses exon-level coverage information to analyze exon-level copy number variation, and the analysis method is simple without complicated GC correction and modeling.

The invention discloses a high-interaction SSH honeypot implementation method, comprising the following steps: connecting the system SSH port, judging whether there is SSH service, and entering the next step with the SSH service; using the logit function and the authctxt structure in OpenSSH in Capture the authenticated user name / password during password authentication; after the password authentication is successful, use the SSH service to process the client data through the pipeline and the user processing interactive session module, and modify the relevant module code to complete the shell Record passwords; control the outgoing flow of the honeypot system, including the two processes of external data packet restriction and external attack packet suppression; use javaweb technology to analyze, process and display the data captured by the honeypot system. A high-interaction SSH honeypot implementation method of the present invention can solve the SSH attack that passive defense technology cannot be continuously updated due to the bottom of the valley, and the low-interaction SSH honeypot has low interaction degree, insufficient deception, and is easy to be seen through. Improve the security defense capability of the SSH service.

The invention discloses a channel center system and a method for realizing channel allocation by using a channel center strategy. The system includes a management layer, a service layer, a channel center and a user group. The channel allocation method is: user classification; the channel center determines whether to allocate idle first-level user channels to unauthorized users according to the user level; the channel center stores and manages channel status information, plan user levels, manage channel borrowing behaviors of unauthorized users, and provide channel borrowing status query; use the Markov chain-based unit model to establish a multi-user and multi-channel cognitive radio network under the management of the channel center, through Genetic algorithm optimizes channel allocation. The present invention comprehensively manages channel information and user information based on the channel center, and can effectively prevent unauthorized users from opportunistically maliciously occupying channels in a multi-user and multi-channel cognitive radio network, and realize optimal allocation of channels on this basis , to maximize the total throughput.

The invention discloses a concealed channel identification method. A system source code is used as an analysis object. The method comprises the following steps of: formally describing a concealed channel in a secure information system as (V, PAh, PVl, P); then dividing a system to be analyzed into relatively independent subsystems; searching related function calling branches in the subsystems by using a shared variable as a basic unit, and further constructing directed information flow graphs according to an information flow relationship; and pruning each information flow graph according to the formal description of the concealed channel to eliminate invalid flow branches and variable aliases in the code, wherein all flow nodes and function calling branches in the finally obtained information flow graphs are potential concealed channel forming factors. The method is suitable for source codes of information systems such as an operating system, a database, a network and the like of highsecurity level, has wide application range, high execution efficiency and low error report rate and missing report rate, can identify the potential concealed channel in the system, and meets the requirement of security standards on concealed channel analysis.

The embodiment of this specification relates to a method, device and electronic equipment for determining the distance between an interactive target and a robot, including: firstly using a human body detection algorithm to determine the rectangular frame area where the interactive target is located, and then extracting the depth of the rectangular frame area from the depth map Data, and then reduce the complexity of analysis according to row scanning or column scanning, and filter the depth data obtained by scanning statistics, and then accurately determine the distance between the interactive target and the robot according to the frequency of occurrence of the filtered depth data, While ensuring real-time acquisition to determine the distance, it can also be applied to a variety of poses and scenes.

The invention provides a distributed information tracking system, information processing method and device, which collects call information in the business processing stage through information collection equipment, sends the call information to the message channel, and obtains call information from the message channel through information analysis equipment. Information, real-time analysis of the call information to obtain the call information with the same identification information, and obtain the corresponding call chain according to the call information with the same identification information, so the present invention can rely on the call information to obtain the call chain, compared with the prior art In other words, it saves the process of converting the call information into the corresponding log format and writing it into a local file, thereby improving the real-time performance of the analysis, and the information analysis device can obtain the call chain through real-time analysis of the call information. Compared with the existing real-time The analysis of the three sub-steps of analysis, offline analysis and combined analysis can get a call chain, which further improves the real-time performance of the analysis and reduces the complexity of the analysis.