9 results about "Separate analysis" patented technology

The invention discloses a gear service life prediction method based on a lubrication-vibration coupling model and a related device, and relates to the technical field of gear service life prediction.The method comprises the steps that firstly, according to gear transmission input data, a three-dimensional mixed lubrication model containing a Reynolds equation coupling solving system is established, and meanwhile system excitation is calculated; then the oil film and the meshing rigidity are connected in parallel to form comprehensive rigidity, a bending-torsion coupling kinetic equation containing torsion and transverse freedom degrees is established, and a lubrication-vibration coupling model is constructed; finally, by means of coupling model output, the lubrication state is evaluated, the vibration characteristic is optimized, and the fatigue and abrasion life is predicted. According to the method, the three-dimensional mixed lubrication model and the system excitation calculation and coupling dynamics model are integrated, the lubrication and vibration coupling effect is considered, the limitation of independent analysis is overcome, the evaluation precision is improved, gear parameter optimization, lubrication scheme making and fault diagnosis can be guided, and the method has engineering application value.

The invention discloses an irrigation system and method for a pinus sylvestris man-made forest, and relates to the technical field of irrigation systems, the irrigation system comprises a controller and a water delivery module, the outlet end of the water delivery module is connected with a plurality of irrigation modules in parallel, and the inlet end of each irrigation module is provided with an electromagnetic valve; the irrigation system further comprises a plurality of temperature monitoring modules, a plurality of runoff monitoring modules and a plurality of humidity monitoring modules. The temperature monitoring modules, the runoff monitoring module and the humidity monitoring module are electrically connected with the controller. A plurality of standard evaluation models can be generated according to historical parameters, and comparison soil humidity parameters are generated for each planting area according to each actual runoff parameter, each actual environment temperature parameter and each standard evaluation model; and finally, comparing each comparison soil humidity parameter with each actual soil humidity parameter, and respectively generating an irrigation control instruction for each pinus sylvestris. The irrigation instruction is generated after the water content of the area where the plants are located is independently analyzed and judged, and therefore precise irrigation is achieved.

A task scheduling method and system for instant analysis of forensic case structure are disclosed, including instant pushing of state change messages to an analysis service after a forensic service generates partial forensic data and writes into a database, the analysis service starting an analysis process after receiving the messages; grouping and scheduling tasks in the analysis process, granularity of grouping being set based on a combination dimension of "case-evidence-processing item"; the processing item including at least pre-processing and AI analysis; before starting a specific analysis engine, performing governance item screening and anti-duplicate processing according to a current service state of the AI engine; in response to passing of the screening, dynamically constructing a query statement based on a preset database structure coding scheme to extract data sources of a current batch from a forensic database, inputting the data sources into an initialized AI engine object to perform analysis, and storing analysis results into a separate analysis result database.

The invention provides a brain disease classification prediction method based on brain-like calculation, aims at solving the problem that a brain network cannot be effectively combined with a brain-like calculation method, and is effectively applied to diagnosis and classification of brain diseases. On one hand, the high-order multi-mode brain network constructed by the method integrates brain structure and function information and structure-function coupling information, information loss caused by independent analysis of a structure network and a function network is overcome, multi-scale understanding of a brain mechanism and an abnormal mode is realized, and extraction of pathological features of people with brain diseases is facilitated. In addition, the brain disease classification prediction application model based on the brain-like calculation method provided by the invention combines the characteristics of GCN and SNN, obtains relatively high accuracy in classification prediction of cognitive memory impairment diseases, shows the potential of brain-like calculation in the field of brain science application, and provides a new technical means for diagnosis and intervention of brain diseases.

This invention relates to the field of electromagnetic compatibility technology, and particularly to a method, device, electronic device, and storage medium for predicting far-field radiation from a communication power supply. The method includes: analyzing the common-mode noise propagation path of the communication power supply and establishing a dual-excitation-source radiation model containing both input port and output port common-mode excitation sources. This application achieves separate analysis of the radiation contributions from the input and output ports by establishing a dual-excitation-source radiation model; improves the accuracy of key parameters by obtaining the impedance parameters of each port separately and accurately converting the excitation source voltage using a sampling measurement circuit; further, it obtains the maximum radiation transfer function through full-angle simulation to ensure prediction coverage of the worst-case scenario; finally, it calculates the total radiation prediction value by integrating the above parameters, thus forming a complete and reliable prediction process that significantly improves the accuracy and practicality of far-field radiation prediction.

The application discloses a connection prediction method and device, equipment, a storage medium and a program product, and relates to the technical field of computers. The method comprises the following steps: in the case that a first device sends a connection request to a second device, acquiring connection detection data generated by the first device in a first time period, and acquiring log data of the second device in the first time period; determining a request sending success rate and a request receiving success rate based on the connection detection data and the log data; fusing the request sending success rate and the request receiving success rate to obtain a request success rate; and performing prediction analysis on the request success rate by using a connection prediction model to obtain a connection success probability in a second time period. In the above manner, the limitation of separate analysis of the first device or the second device is avoided, the prediction accuracy of the connection success probability is improved through comprehensive analysis of the two devices, and the application can be applied to various scenes such as cloud technology, artificial intelligence and intelligent transportation.

This invention provides a method for analyzing the dynamic characteristics of rigid pile composite foundations involving the interaction between the foundation and the structure. By establishing an overall finite element model of the rigid pile composite foundation-raft slab-superstructure, and systematically performing elastic and elasto-plastic dynamic time-history analyses under minor and major earthquakes, a refined simulation of the dynamic response of the composite foundation system throughout the entire earthquake process is achieved. Parametric analysis clarifies the distribution of internal forces in the rigid piles under minor and major earthquakes, the amplification factor of the pile's dynamic response, and the damping and energy dissipation mechanism of the cushion layer under different earthquake magnitudes. In particular, it quantitatively reveals the influence of the cushion layer thickness on its coordinated deformation and energy dissipation efficiency, thus providing crucial basis for performance-based seismic design. This method can output specific design optimization suggestions, such as the optimal thickness range of the cushion layer, effectively overcoming the errors of traditional separate analysis methods and the shortcomings of empirical design.

The invention discloses a database SQL (Structured Query Language) statement anomaly detection method and device and a medium. A current to-be-executed SQL statement is obtained and analyzed in real time, a current SQL grammar analysis result is obtained and matched with an SQL template and an information storage library according to the current SQL grammar analysis result, if matching succeeds, a current hit SQL template, current execution plan key information and a current execution index are obtained and input into an SQL statement anomaly reasoning model, and the SQL statement anomaly reasoning model is obtained. Calculating a risk value in combination with domain knowledge base information to obtain a current SQL statement risk assessment value; and if the current SQL statement risk assessment value is greater than the obtained target risk assessment threshold, intercepting the current to-be-executed SQL statement and generating target alarm description information. According to the method, the problems of resource waste caused by separate analysis of the SQL item by item and low safety and high risk caused by post-processing are solved, the SQL statement anomaly detection efficiency is improved, and resource use is reduced.

The application provides a security management strategy generation method and system, obtains a message node with differences between two groups of current thread session in a first current thread session strategy set, obtains an abnormal message through the message node, obtains a second current thread session strategy set through the first current thread session strategy set and the abnormal message, and determines a thread security management result through the second current thread session strategy set when the second thread security quantization result exceeds the first thread security quantization result. The message node with differences between two groups of current thread session in the first current thread session strategy set can obtain the abnormal message, and the first current thread session strategy set can accurately and reliably obtain a current thread session strategy set with a better thread security quantization result without separate analysis, so that the better thread security quantization result can be accurately obtained, and the accuracy and reliability of the thread security management result can be ensured.