12 results about "Nuclear environment" patented technology

This invention relates to the field of unmanned aerial vehicle (UAV) interception technology, specifically to a UAV swarm for nuclear missile interception and its interception method, comprising: UAV modules, a communication module, and a coordination module; multiple UAV modules constitute a UAV swarm; the communication module is connected to each UAV module to achieve encrypted information transmission; the coordination module is constructed based on multi-agent reinforcement learning, and is connected to the UAV modules through the communication module, and is used to control the UAV swarm to cooperate in interception; this application achieves stable operation in a nuclear environment through the UAV modules, and constructs a protective shield to intercept nuclear missiles through the coordination module.

The application discloses a real-time path planning method fusing improved locust-dynamic window method, and comprises the following steps: S1, generating an initial path according to an improved A* algorithm, performing global path planning on the path in a radiation environment through an improved locust optimization algorithm, and determining the path from the starting point to the ending point; S2, performing local path planning according to the path through an improved DWA algorithm, and generating a planning path. Through the introduction of a position updating strategy considering radiation distribution information and an improved adaptive comfort zone coefficient, the influence of the radiation risk on path selection is more truly reflected, and the position updating process of the GOA is optimized. This enables the algorithm to effectively guide the locust population to avoid high radiation areas in a nuclear environment, and significantly reduces the radiation exposure risk. Through the combination of the global optimization capability of the improved A* algorithm, the initial population distribution of the locust optimization algorithm is improved, and then the convergence speed of the locust optimization algorithm is improved.

The invention discloses a real-time path planning method fusing an improved locust-dynamic window method, and the method comprises the following steps: S1, generating an initial path according to an improved A * algorithm, carrying out the global path planning of a path in a radiation environment through introducing an improved locust optimization algorithm, and determining a path from a starting point to an end point; and S2, performing local path planning according to the path through an improved DWA algorithm, and generating a planned path. By introducing a position updating strategy considering radiation distribution information and an improved adaptive comfort zone coefficient, the influence of radiation risk on path selection is reflected more truly, and the GOA position updating process is optimized. The algorithm can effectively guide the locust population to avoid a high-radiation area in a nuclear environment, and the radiation exposure risk is remarkably reduced. The initial population distribution of the locust optimization algorithm is improved by combining and improving the global optimization capability of the A * algorithm, so that the convergence speed of the locust optimization algorithm is improved.

The application discloses a method for calculating the upper limit of impurity content of nuclear materials of a fusion device, and is used for analyzing the impurity control requirement of materials serving in the nuclear environment of the fusion device. The method is characterized in that: under the service environment conditions and examination requirements of the specified nuclear materials, the main components and the possible impurity elements contained in the materials are simulated, and the control requirement of the impurity elements is determined according to the nuclear response calculation of various normalization indexes. The method can realize the rapid calculation of the upper limit of impurity content of the nuclear materials of the fusion device under the service conditions, and can be applied to the design analysis of the nuclear materials of the fusion device and the fusion device.

The application provides a high-precision cross-space conveying mechanism for components in a radiation environment, which is composed of a clamp driving mechanism (1), a rigid chain mechanism (2), a clamp mechanism (3) and a base material tank (4). The upper left end of the rigid chain mechanism (2) is connected with the clamp driving mechanism (1), and the lower right end of the rigid chain mechanism (2) is connected with the base material tank (4). The clamp driving mechanism (1) is connected with the clamp mechanism (3). The servo motor directly drives the chain wheel chain through the shaft coupling in the application, and the whole is gapless driving. At the same time, the whole chain almost has no random error, and the purpose of high-precision feeding is achieved. The clamp driving mechanism of the application leads the power of the clamping mechanism to the non-moving part through the radiation-resistant brake line, which is very convenient for use and maintenance in the nuclear environment. The guiding rigid chain and the clamping base slide on the T-shaped guide rail, and the horizontal cross-space component conveying can still be carried out under the intermittent working condition of the material tank.

The present invention relates to a process of making a corrosion resistant, aluminium-deposited nickel-based superalloy super alloy for fission microstructures. The alloy comprises a nickel-based substrate (10) containing nickel, chromium, molybdenum, and titanium, with an aluminium layer (20) deposited on the substrate using vacuum plasma deposition. The substrate contains 80-88% nickel, 4-7% chromium, 6-9% molybdenum, and 1-3% titanium by weight. The aluminium layer have a thickness between 50-200µm, and acts as a barrier against fluoride salt attacks, reducing degradation rates and ensuring better structural integrity of the fission microstructure. The aluminium-deposited nickel-based superalloy can be used in various components of fission microstructures, including fuel cladding, heat exchangers, and reactor vessels, to improve the efficiency, longevity, and safety in nuclear environments.

The invention belongs to the technical field of human factor engineering verification, and discloses a nuclear power plant human factor engineering verification and training method and system based on virtual reality, and the method comprises the steps: constructing a virtual reality intelligent interaction scene; synchronously collecting multi-dimensional data of the student in the virtual reality intelligent interaction scene, wherein the multi-dimensional data comprises electroencephalogram data, physiological data, operation data and eye movement data; performing data preprocessing and feature extraction on the multi-dimensional data to obtain a plurality of key features, and performing fusion analysis on the plurality of key features; and performing multi-dimensional evaluation and personalized feedback based on the fusion analysis result, generating a multi-dimensional evaluation report, and performing personalized training of the trainee according to the personalized feedback. According to the invention, by constructing a high-simulation virtual nuclear environment and synchronously collecting multi-modal data of an operator, scientific verification of a human-computer interface, environment design and operation regulations is realized, and personalized training of students is realized.

The utility model discloses a nuclear environment underwater split body lamp belongs to underwater split body lamp technical field, solve the problem that underwater split body lamp due to setting in underwater environment application, it needs long time work to irradiate, also lead to it can produce more heat, and because it needs to adjust angle, if need frequent regulation, then motor also can produce more heat, and this heat accumulation does not discharge can lead to the lamp appears the breakage condition problem. Including lower lamp holder. The utility model application time, the heat of heat dissipation axle guide lower lamp holder diffuses outward, and heat dissipation arc part and heat dissipation grid piece auxiliary heat dissipation. When temperature sensor detects temperature reaches threshold value, trigger circuit makes triode conduction, and traction electromagnet energization pulls the plugging block, lets water enter heat dissipation upper rotary pipe and heat dissipation connection shell and carries out heat exchange, avoids the damage of lamp body. When temperature is lower than threshold value, traction electromagnet is powered off, and the plugging block reseals the intercommunication, keeps the leakproofness.

The invention relates to the technical field of robot navigation, and discloses an obstacle avoidance route trajectory planning system and method for a nuclear facility decommissioning robot, and the system comprises a mobile platform, a sensor group, and a calculation platform. The multi-source sensing fusion module executes data space-time registration; the multi-physics field coupling modeling module constructs a structural obstacle, a radiation dose and a communication connection potential field, and calculates a virtual resultant force vector representing an optimal trend; the anisotropic virtual kinetic parameter generation module constructs a follow-up local coordinate system, sets virtual mass and damping in the resultant force direction to be smaller than transverse numerical values, and generates differential parameters; and the nonlinear model prediction control module introduces the vectors and the parameters into a prediction model, and solves a constraint optimization problem to generate an optimal instruction. According to the method, multi-dimensional constraint collaborative avoidance is realized, the robot is endowed with the motion characteristics of agility and transverse stability, and the safety and reliability of nuclear environment operation are improved.

The utility model relates to a high-place operation hanging basket used for nuclear power shielding plant upper portion ring corridor operation and air deflector installation and maintenance environment, belongs to the technical field of lifting and hoisting, and particularly relates to lifting and hoisting of nuclear power equipment. The hanging basket electric vehicle, the connecting rod and the hanging basket track are arranged to form a hanging mechanism, the structure of the hanging basket can be conveniently moved in a narrow space, the risk of re-disassembly and re-assembly is avoided, the mounting frame, the hanging basket and the auxiliary basket are arranged to form a hanging platform capable of adapting to equipment such as a nuclear power reactor, a large tank body and a chimney, and the hanging platform is convenient to use. Therefore, the high-place operation hanging basket special for the nuclear power environment is constructed, the auxiliary basket can also allow a cable to penetrate through and provide lateral protection, the space in the hanging basket can be saved, the cable can be prevented from being damaged, the construction efficiency is greatly improved, and the construction difficulty is reduced.

The invention provides a nuclear power gear transmission device fault diagnosis method based on multi-modal deep learning, and belongs to the technical field of gear fault diagnosis based on deep learning. Firstly, structural vibration, acoustics and operation condition parameters are collected through a sensor; secondly, constructing a graph neural network for dynamically coupling equipment physical topology and nuclear environment influence to perceive propagation characteristics of a fault in a spatial dimension, and capturing a slow evolution rule of the fault in a time dimension in combination with a time Transform network; then, a collaborative attention fusion mechanism is designed, deep dialogue and cross validation of microscopic vibration signals and macroscopic working condition background information are achieved, and interference caused by environment and working condition changes is removed; and finally, through the trained fault prediction learning model, a clear fault type and a confidence score are output. According to the invention, high-precision intelligent diagnosis of internal early weak faults of the nuclear safety level key gear transmission device in an extreme environment is realized.