6results about How to "Reasonable analysis" patented technology

The embodiment of the application discloses a mountain road trap active detection method and system based on sound wave reflection, the method comprises the following steps: collecting the echo signal of the multi-path propagation of the multi-band detection sound wave in the to-be-detected mountain road area through a microphone array, and scoring the propagation path according to a path credibility scoring mechanism; if it is determined that the trigger condition is met, it is determined that the to-be-detected mountain road area has a trap, and a risk early warning is carried out; if it is determined that the trigger condition is not met, the second feature data and the first feature data are input into a pre-trained machine learning model, and the trap category of the to-be-detected mountain road area is determined according to the machine learning model. The system has a second-level response capability, greatly improves the safety, realizes full-process automation, reduces manual intervention, and greatly improves the mountain road inspection efficiency.

This invention discloses an integrated coupling method and system for intelligent production and operation of gas storage facilities. The method includes: constructing a numerical simulation model of the gas storage reservoir: establishing a geological model of the gas storage reservoir based on dynamic production data and geological knowledge, and establishing a numerical simulation model of the gas storage reservoir reservoir; constructing a wellbore model of the gas storage reservoir: establishing a wellbore model of the gas storage reservoir based on relevant basic data of the injection and production wells; constructing a surface pipeline network model of the gas storage reservoir: establishing a surface pipeline network model of the gas storage reservoir based on relevant basic data of the surface pipeline network; and constructing an integrated coupling model of the gas storage reservoir: combining the wellbore model and the surface pipeline network model of the gas storage reservoir, and coupling the numerical simulation model of the gas storage reservoir to complete well mapping and fluid mapping, forming an integrated coupling model of the gas storage reservoir reservoir-wellbore-pipeline network. This invention considers the comprehensive production constraints from the gas reservoir, wellbore, and surface pipeline network, and is of great significance for analyzing and optimizing the injection and production systems of gas storage facilities.

The pole tower online monitoring system relates to the field of online monitoring. In order to solve the problem that the existing monitoring system is difficult to network, and the transmission data is easy to collide or lose, resulting in low monitoring accuracy. Each tilt sensor collects the tower angle, angular velocity and acceleration of the power tower; each temperature sensor collects the ambient temperature in real time; each tower node board integrates the tower angle, angular velocity, acceleration and ambient temperature received at the same time, and obtains hexadecimal data after analog-to-digital conversion. After the hexadecimal data is added with the address, channel and corresponding identification code, the sorted data is sent to the pole tower gateway board through the Lora sending module and the Lora receiving module. The pole tower gateway board is used to convert each received sorted data into decimal data, parse the power pole tower tower data corresponding to the pole tower node board where the identification code is located, and report it to the cloud platform, and the mobile terminal receives data from the cloud platform. It is used to monitor the inclination of the pole tower.

The invention discloses a numerical method for slope stability analysis associated with displacement. The technical problem that in the prior art, a traditional strength reduction method is not physically coordinated is solved. The numerical method comprises the following steps: establishing a slope numerical simulation analysis model; calculating and determining a strength reduction coefficient limit value corresponding to the limit state of the slope body and a corresponding potential sliding surface of the slope body by using a parameter synchronous change technology and a numerical simulation method; equally dividing the range between the numerical value 1 and the strength reduction coefficient limit value into an integer n to form a series of calculation intermediate reduction coefficients; synchronously changing the cohesive force, the internal friction angle, the Poisson's ratio and the elastic modulus of the slope rock-soil body according to the calculated intermediate reduction coefficient, and then calculating by adopting a numerical simulation method to obtain a corresponding slope body displacement field and the displacement of any point on the potential slip mass of the slope body; calculating a slope stability coefficient corresponding to each middle reduction coefficient; and obtaining the relationship between the slope stability coefficient F and the slope body displacement.

The invention discloses a high-level comprehensive design quality analysis method and device based on a graph neural network, and relates to the technical field of high-level comprehensive design. Then, the potential of the graph neural network in processing classification and prediction tasks related to graph structure data is utilized, and the graph neural network is utilized to process to-be-analyzed high-level comprehensive design data; the related attribute prediction of the graph structure data can be completed in a millisecond-to-second level, so that the quality analysis can be efficiently performed on the high-level comprehensive design based on the graph neural network. Meanwhile, the graph embedded data are analyzed more reasonably by means of the graph network and the neural network, and a more accurate analysis result is obtained, so that quality analysis is accurately carried out on the high-level comprehensive design based on the graph neural network.

The invention discloses a clock timing method and device of an industrial control network security system. The system comprises an external clock source, a centralized management center device, a plurality of network security sub-devices, an external timing network and an internal timing network. The method comprises the following steps: when the equipment is started, determining the starting time of an operating system of the equipment based on the hardware time when the central equipment and each sub-equipment are started and the storage time in a file system of the equipment; when the equipment runs, acquiring the time of an external clock source according to a preset period based on an external timing network, and taking the acquired time as the time of a central equipment operating system; acquiring the time of the central equipment according to a preset period based on the internal timing network, and taking the acquired time as the time of the operating system of the sub-equipment; and according to a preset period, based on the time of each equipment operating system, correcting the hardware time and updating the storage time of the file system. According to the invention, the time accuracy and synchronism of the log data of each device can be ensured.