9 results about "Microwave effect" patented technology

The invention belongs to the technical field of high-power microwave effect tests in laboratories, and relates to a lossless reinjection data synchronization method and device for a multi-mode test body, and the method comprises the steps: S1, data collection and transmission: collecting electric field data in the multi-mode test body, and transmitting the electric field data out of a shielding cabin of the multi-mode test body; s2, an edge processing step: sending the electric field data transmitted to the outside of the shielding cabin into an edge GPU node, and carrying out voxelization processing and WebGL body rendering; s3, a data synchronization step: synchronizing the three-dimensional rendering data stream to a plurality of user side browsers in real time through WebRTC and HTTPS (Hyper Text Transfer Protocol over Secure Socket) protocols; s4, time synchronization is carried out, a unified high-precision time reference is provided through a Whit-Rabbit clock, and sub-nanosecond alignment of multi-channel data is achieved; and S5, a data storage step: generating a hash abstract for the synchronous data and writing the hash abstract into the block chain. By means of the method, the safety, the real-time performance and the reliability of data transmission can be effectively improved.

The invention relates to the technical field of high-power microwave effect tests and testing, and particularly provides an automatic edge AI judgment method and device for an HPM damage grade, and the method comprises the steps: synchronously obtaining electric field, temperature and FBG reference data through a conformal optical fiber sensor array and a reference sensor in a test body; and the optical fibers are reinjected to the outside of the shielding cabin in a zero-metal manner in a lossless manner through a plastic optical fiber-CAN-FD link. Voxelization, multi-modal fusion and INT8 quantization processing are carried out on the data on an outboard edge computing device, and a standard input tensor is generated. And a damage grade judgment model deployed on the equipment is used for reasoning, and a damage grade judgment result and confidence are output. Optionally, the model may also output a thermodynamic diagram identifying the critical space region. According to the method, the AI model is locally deployed through the edge computing device, multi-dimensional sensing data are fused, real-time efficient judgment of the HPM damage level is achieved, and meanwhile the consistency and objectivity of the judgment result are remarkably improved.

The utility model relates to the technical field of food detection, in particular to a solid food heavy metal microwave digestion device, which enables the action of a solid food sample and microwaves to be more uniform and improves the digestion efficiency by enabling the moving track of a digestion tank to be more complex. Comprising a box body and a controller, a horizontal partition plate is installed at the bottom of the box body, the rotary table is rotatably installed on the horizontal partition plate, an output shaft of the speed reduction motor is connected with the center of the lower end face of the rotary table, the multiple rotary seats are rotatably installed on the rotary table, and the multiple rotary seats are rotatably installed on the rotary table; the plurality of rotating seats are circumferentially and uniformly arranged around the circle center of the rotating disc, outer gear rings I are concentrically mounted on the outer walls of the plurality of rotating seats, inner gear rings I are mounted on the horizontal partition plate, the inner gear rings I are meshed with the plurality of outer gear rings I, loading mechanisms are mounted in the plurality of rotating seats, and the plurality of digestion tanks are detachably mounted on the plurality of loading mechanisms respectively.

Devices and methods that use returned power (RP) measurements during microwave energy delivery to perform one or more functions. For example, such microwave devices and systems with one or more features to measure the returned microwave power. One or more measurements of the returned microwave power may be used to obtain information about one or more of: antenna shape, system status and system performance. One or more measurements of the returned microwave power shaping elements may also be used to obtain information about one or more properties of the target material. Devices and methods for delivering microwave energy to a variety of target materials to achieve a variety of desired microwave effects.

The invention discloses a method for removing toluene at low temperature by microwave catalysis of defective lanthanum manganate, which comprises the following steps: (1) uniformly mixing a certain amount of La (NO3) 3, Mn (NO3) 2 and urea (Urea), dissolving in deionized water, forming a precursor by a sol-gel method, stirring, heating and drying the precursor, and roasting at 600-900 DEG C for 2-8 hours to prepare a catalyst 2U-La0. 8MnO3; and (2) filling a microwave reactor with a catalyst 2U-La0. 8MnO3, feeding the toluene-containing flue gas into the microwave reactor, introducing O2 into the microwave reactor, and oxidizing toluene into CO2 and H2O under the action of active oxygen and Lewis acid sites on the surface of the catalyst through the synergistic effect of a microwave heat effect and a non-heat effect, thereby completing the removal of toluene. According to the defect-type lanthanum manganate catalyst prepared by the invention, through the synergistic effect of defect regulation and microwave effect, the removal rate of methylbenzene in a low-temperature region can be remarkably improved compared with that of traditional electrothermal catalysis.

The application belongs to the technical field of high-power microwave effect test in laboratory, and relates to a built-in conformal optical fiber electric field sensor array test system and method. The method comprises the following steps: step S1, a step of implementing previous preparation; step S2, a step of quick assembly and disassembly; step S3, a step of real-time measurement and closed loop; step S4, a step of result confirmation and log uploading; and step S5, a step of preparation for the next round of experiment. The technical scheme is mainly used for distributed measurement of internal electric field of a test body fixed or supported by a sliding rail in a shielding cabin, a tight field or a GTEM chamber and the like. The system is composed of a conformal optical fiber electric field sensor array, an optical fiber link unit, an optoelectronic integrated module, a self-calibration unit and energy and an interface, can be assembled and disassembled within 5 minutes, can be repeatedly used more than 100 times, significantly reduces the operation cost of a laboratory, and provides a core test means for high-precision, high-efficiency and low-cost HPM effect test of anti-missile weapons.

The present application relates to the technical field of solid waste treatment, and provides a method for preparing high-purity hydrogen by using waste plastic self-derived carbon nanotubes, which comprises the following steps: S1, mixing plastic and multi-element nanometer metal catalyst, adding microwave absorber to obtain a mixture, wherein the multi-element nanometer metal catalyst comprises Ni, Al and Fe; S2, microwave heating the mixture in inert gas to obtain hydrogen and self-derived carbon nanotubes; S3, reloading the self-derived carbon nanotubes with the multi-element nanometer metal catalyst, adding in step S1, and microwave heating reaction in step S2 to obtain high-purity hydrogen. The method for preparing hydrogen by using waste plastic self-derived carbon nanotubes can further improve the hydrogen yield by more than 20%, and the hydrogen yield reaches 62.55 mmol / g, and the hydrogen purity is greater than 90 vol%.

The embodiment of the application discloses a kind of NV color center scanning probe, microscope, the NV color center scanning probe includes diamond carrier, NV color center and microwave radiation mechanism;NV color center is located inside diamond carrier, diamond carrier includes the detection surface towards sample;Microwave radiation mechanism includes metal film belt;Metal film belt is circumferentially arranged around detection surface;Metal film belt is opened with gap in circumference, and the both ends of gap are respectively connected with external circuit, for generating microwave magnetic field when energized.The NV color center scanning probe provided by the embodiment of the application, by setting annular metal film belt on the probe, solve the problem of high power consumption and high thermal load of traditional microwave structure, also ingeniously optimize the performance of NV color center through micro-thermal effect, ensure the consistency of microwave effect in scanning process, provide technical support for high-resolution, high-uniformity NV color center quantum sensing and scanning imaging in extremely low temperature environment.

This invention relates to the field of high-power microwave effect testing and measurement technology, specifically providing an edge AI-based automatic determination method and apparatus for HPM damage levels. The method includes: synchronously acquiring electric field, temperature, and FBG reference data through a conformal fiber optic sensor array and a reference sensor inside the test chamber, and then losslessly reinjecting this data to the outside of the shielded chamber via a plastic fiber-CAN-FD link in a zero-metal manner. On an edge computing device outside the chamber, the data undergoes voxelization, multimodal fusion, and INT8 quantization to generate a standard input tensor. The damage level determination model deployed on this device performs inference, outputting the damage level determination result and confidence level. Optionally, the model can also output a heat map identifying key spatial areas. This invention achieves real-time and efficient determination of HPM damage levels by locally deploying an AI model on an edge computing device and fusing multi-dimensional sensor data, while significantly improving the consistency and objectivity of the determination results.