15results about How to "Precise change" patented technology

The invention relates to the technical field of disease and pest identification and control, in particular to a disease and pest identification and control early warning system and method, and the system comprises a data collection module, a polarization data analysis module, an image super-resolution processing module, a feature extraction module, a disease prediction module and a decision support module. According to the method, early recognition and accurate prediction of plant diseases and insect pests are achieved by integrating capture and analysis of spectrum polarization data, image super-resolution processing and time sequence analysis, fine structural changes of plant leaves are accurately captured through the polarized light technology, fine lesion features can be revealed by deeply analyzing the polarization data, and the accuracy of the plant diseases and insect pests is improved. The local spectrum enhancement technology further refines the image quality, it is ensured that the change of the cellular level can be accurately recognized, deep learning analysis is carried out in combination with environmental data, the disease development trend can be effectively predicted, and the processing speed and accuracy are improved.

The invention discloses a power distribution network unknown measurement information completion method based on data flow mapping, and relates to the technical field of power distribution network monitoring and control. The invention discloses a method for complementing unknown measurement information of a power distribution network based on data power flow mapping. The method comprises the following steps: step 1, constructing a data power flow mapping model; step 2, speculating and complementing missing data; 3, real-time updating and intelligent optimization are carried out; step 4, system integration and application; wherein the step 1 comprises the following sub-steps; step 1.1, data acquisition and preprocessing; step 1.2, feature extraction and analysis; 1.3, constructing a mapping model; wherein the step 2 comprises the following sub-steps; step 2.1, identification and speculation of missing data; step 2.2, constructing a speculative model; and step 2.3, data completion.

The service life characterization testing device comprises a light beam splitter, a high-stability laser frequency reference module, power detection equipment, a wavelength testing module, line width / relative intensity noise / frequency noise testing equipment, a control computer and software, a driving / temperature control power supply and the like. The output light of the tested single-frequency laser is divided into multiple paths through a plurality of light beam splitters, and the output light power, the output wavelength, the absolute wavelength change and the relative intensity noise / frequency noise are monitored respectively. According to the absolute wavelength change monitoring, light needs to pass through a high-stability frequency reference module and then pass through a PD to monitor the change value of the absolute wavelength. According to the invention, a plurality of parameters are monitored in a multi-channel monitoring mode, and the system has the advantages of simple parameter testing, comprehensive monitoring of life characterization parameters and the like, and is suitable for performance testing and life testing of a single-frequency solid laser, a single-frequency fiber laser, a single-frequency semiconductor laser and the like.

The invention belongs to the technical field of temperature prediction, and particularly discloses a space-time joint temperature prediction method based on a deep reversible network. A prediction model used in the method comprises a pixel shuffling layer, a forward encoder, a reverse decoder and a long and short term integrated prediction module used for bridging the forward encoder and the reverse decoder. An input image is subjected to shape transformation through one pixel shuffling layer, the forward encoder is used for extracting deep features, the long-short term integrated prediction module is used for further extracting spatial-temporal features from the deep features, the reverse decoder is used for decoding the spatial-temporal features, and the resolution of the decoded features is restored to be the same as that of the input image through the other pixel shuffling layer; the forward encoder and the reverse decoder have the same structure and share parameters, and each of the forward encoder and the reverse decoder comprises a plurality of multi-level reversible affine coupling structures; the long and short term integrated prediction module comprises a plurality of long and short term integrated prediction units, and the output feature of the current long and short term integrated prediction unit and the input feature of the previous long and short term integrated prediction unit are added to serve as the input feature of the next long and short term integrated prediction unit. According to the method, feature extraction can be carried out more flexibly, information loss is minimized, spatio-temporal information is fully reserved, and prediction precision is improved.

The invention relates to the field of non-contact physical sign perception, in particular to a human body vital sign perception method based on VMD + ACMD joint decomposition, which comprises the following steps of data acquisition, distance angle heat map generation, direct current bias removal, expansion DACM phase extraction, signal decomposition, signal reconstruction, feature extraction, time-frequency analysis and the like. According to the invention, the VMD and the ACMD are combined for use, and the frequency resolution capability of the VMD and the adaptive decomposition capability of the ACMD are fully utilized. Through the combined decomposition, the analysis capability of the micro-motion signal is enhanced, the sign extraction precision is remarkably improved, compared with a traditional single decomposition method, the scheme improves the separation precision of the sign signal, the modal aliasing problem is reduced, the higher signal quality is ensured, and by enhancing the main frequency component of the sign signal, the sign extraction precision is improved. Interference of background noise is effectively suppressed, especially in a complex or high-noise environment, high signal-to-noise ratio of signals can be ensured, and accurate extraction of sign signals such as heart rate and respiratory rate can be improved.

The invention discloses a multi-dimensional exercise prescription making system based on cloud computing. And finding the sequence of a plurality of motion mode categories conforming to the user information to obtain a plurality of two-dimensional motion connected graphs. The motion connected graphs which are similar in motion mode category sequence and frequently appear are found out in the multiple motion connected graphs. A plurality of paths in a graph structure are represented by adopting a motion connected graph, so that a plurality of sequential connection modes of a plurality of motion mode categories are represented. And traversing the motion connected graph to obtain a plurality of motion mode routes after the user information is considered. And constructing a three-dimensional motion parameter point diagram by taking the motion mode category as an abscissa and taking the corresponding motion human body information before and after the motion of the user as an ordinate. And detecting the three-dimensional change characteristics of the motion parameter point diagram by using a 2 * 2 * 2 three-dimensional convolution kernel. And adopting the second motion convolutional network to detect the characteristics of the change of the motion human body information corresponding to one motion mode category.

The invention relates to a test system for simulating landslide and dam burst, and belongs to the technical field of landslide simulation devices. The test system for simulating landslide and dam burst comprises a channel simulation mechanism, a rainfall simulation mechanism, an upstream incoming flow simulation mechanism and a data acquisition mechanism, wherein the channel simulation mechanism is provided with a flow guide structure, and is used for simulating the flow of a scoured material in a landslide and barrier dam burst process; the rainfall simulation mechanism can simulate the rainfall process; the upstream incoming flow simulation mechanism is arranged at a position corresponding to the channel simulation mechanism, and the breakout process of the barrier dam is simulated through the upstream incoming flow simulation mechanism; a part of the structure of the data acquisition mechanism is installed on the channel simulation mechanism, and corresponding data are acquired through the data acquisition mechanism. The test system for simulating landslide and dam burst provided by the invention is mainly used for simulating landslide and dam burst processes.

The present disclosure provides a mechanical direction change structure for a pool cleaner, and a pool cleaner. The mechanical direction change structure includes a direction change device provided on a pool cleaner body and swingable relative to a pool cleaner, where the direction change device is provided with an abutting unit, and at least one stopping unit rotatable relative to the direction change device; when the pool cleaner is traveling, the stopping unit is in contact with the abutting unit, such that the direction change device maintains a basically stationary state relative to a shell; and when the pool cleaner changes a direction, the stopping unit gradually detaches from the abutting unit and rotates relative to the abutting unit. The stopping unit is rotatable relative to a swinging element. The stopping unit rotates to contact or detach from the abutting unit, thereby enabling the pool cleaner to travel and change its direction. When the pool cleaner is traveling, the swinging element maintains a stationary state relative to the pool cleaner body. When the pool cleaner stops, the swinging element is restored to achieve a direction change. The present disclosure features a simple structure, convenient mounting, and smooth operation, and eliminates the need for an auxiliary direction change through an electrical control part.

The invention provides an intelligent lamp control system, which relates to the technical field of illumination and comprises the following steps of: emitting laser by using a laser head to form a laser positioning point; the laser ranging head records the time from transmitting to receiving of the laser signal so as to obtain the distance of the measured object; the main control chip generates a control signal according to the distance of the measured object; according to the generated control signal, the control signal is transmitted to an external power supply through an AC control chip or a DC control chip, and the external power supply adjusts the working state of the light source according to the received control signal; the lamp system is monitored in real time through the state indicating head. The invention provides an intelligent control system for a lamp. The intelligent control system solves the problem that requirements in different environments cannot be met.

The utility model relates to the technical field of detection devices, in particular to a gear tooth clearance detection device which comprises a workbench, the upper surface of the workbench is rotatably connected with a gear placing table, the gear placing table is provided with a fixing assembly, and the upper surface of the workbench is provided with a detection platform. A detection supporting rod is slidably connected to the upper surface of the detection platform, a detection assembly is arranged at one end of the detection supporting rod, and a PLC is arranged on the workbench. According to the utility model, the thin film pressure sensor, the PLC controller and the detection assembly are arranged, so that the change of the tooth clearance of the gear can be more directly and accurately tested, real-time feedback can be realized, and the detection efficiency and the detection effect of the tooth clearance of the gear are improved.

The present invention provides a wetland water level measurement method, device, equipment and readable storage medium, which relate to the field of synthetic aperture radar interferometry technology. The method also includes the following steps: determining homogeneous pixels of a differential interference fringe pattern, and extracting distributed scatterers based on the homogeneous pixels; performing adaptive terrain filtering on the differential interference fringe pattern after extracting the distributed scatterers. The present invention can determine precise scatterer points and more accurately extract water level information, thereby performing more accurate wetland water level measurement, obtaining more accurate wetland water level changes, and ensuring the accuracy of wetland hydrological information extraction.

Embodiments of the present application relate to the technical field of image processing, and disclose a method for training an image generation model and related apparatuses. A pre-trained age detection model is used to detect the age of each real face image to obtain a predicted age, and an age difference between the predicted age and a real age is calculated. The age difference and the real face image are input into an image generation network for fusion to generate a predicted face image affected by the age difference. The predicted age can reflect the universal age characteristics of the real face image, and the age difference can reflect the individual age characteristics (older or younger) of the input image. Thus, the age difference can guide the image generation network to learn the individual age characteristics of the input image. The trained image generation model can accurately generate an age change image that conforms to the individual age characteristics and the expected age based on the age difference between the expected age and the real age.

The embodiment of the present invention provides a multi-system parameter synchronization method and device, including: obtaining each parameter change operation information from a parameter maintenance server and writing it into a cache server, wherein the parameter change operation information includes synchronization tasks and parameter change information; the synchronization task is used to indicate each parameter in the same synchronization batch; the parameter change information is the parameter information of the parameter to be changed; based on the subscription mechanism to the cache server, each parameter change operation information is pulled from the cache server; for any synchronization task in each parameter change operation information, if the parameter change information of each parameter indicated by the synchronization task has been pulled, the parameter change information of each parameter indicated by the synchronization task is sent to each parameter application server. The above method can realize the real-time sending of parameters under the premise of ensuring the normal business processing and data consistency of the upstream system, and balance the parameter change speed of the upstream system and the downstream system, so as to ensure the normal business processing of the downstream system.

The invention discloses a method, a device, equipment and a medium for measuring forest moisture time-air migration, and relates to the technical field of geophysical time-shift resistivity detection.A geophysical resistivity imaging method is utilized, a time dimension is added on the basis of a high-density electrical method, so that the conversion relation between the resistivity and the moisture content of a tree is obtained, and the moisture content of the tree is measured. The resistivity change rate of the tree is inverted according to the resistivity monitoring result, a time-space distribution diagram of the tree moisture is established by combining the conversion relation between the resistivity of the tree and the moisture content, and the change of the tree moisture along with time is judged according to the time-space distribution diagram. According to the time-space transportation change of the forest moisture, the time-space change of the tree moisture is visually obtained through the resistivity change of the trunk moisture and the conversion relation between the resistivity and the moisture content on the whole, the measurement precision of trunk moisture transportation is greatly improved, and guidance is provided for water-saving irrigation and the like in an area.

The invention discloses an online comparison auditing system and method based on a structured document, and relates to the technical field of computers, and the system comprises a user side module which is used for facilitating a user to operate and use the document through the system; the document editing module is used for carrying out online editing on the document in a visual mode, analyzing and identifying data after the document is structured, and setting a unique ID (Identity) for each structured unit for identification; the document storage module is used for storing and accurately querying documents; and a document display module. According to the online comparison auditing system and method based on the structured document, the content of the structured document is calibrated, the change of the document in different versions can be accurately audited, the changed part of the document in different versions can be displayed in a visual mode, a user can conveniently check, the direct difference of the structured document can be accurately compared, and the user experience is improved. Therefore, the requirement for accurate comparison of documents in some specific fields can be met.