23results about How to "Real-time reflection" patented technology

The invention relates to a laser wind finding radar power spectrum correction method based on multi-source observation data, and belongs to the field of radio. On the basis of high-frequency sounding balloon observation data and a networked microwave radiometer inversion product, a correction strategy between deviation and microwave radiometer observation quantity is designed by utilizing the deviation of the two data, and an atmospheric temperature and humidity profile with high temporal-spatial resolution and high quality is generated; based on multi-source vertical observation data, the atmospheric state and the micro-physical inherent attributes of aerosol can be reflected in real time, and the backscattering coefficients and extinction coefficients of atmospheric and aerosol particles can be calculated; complexity of atmosphere and aerosol, scattering characteristics of a target object, micro-physical characteristics and other factors are considered, and it is reliable to use an echo signal output by an advanced laser radar echo signal simulator as a truth value. Power spectrums are divided into three types according to spectrum skewness, training of a gradient strengthening model is facilitated, and accurate and efficient correction of actual measurement power spectrum information of the laser wind finding radar is achieved.

The invention relates to the technical field of carrier evaluation, in particular to a carrier portrait evaluation system and method based on multi-dimensional data fusion, and the system comprises a data source obtaining module which is used for collecting a plurality of carrier related data sources in real time; the data preprocessing module is used for carrying out normalization preprocessing on the collected data; the multi-dimensional data fusion module is used for constructing a dynamic carrier portrait by adopting a multi-modal fusion algorithm and a hierarchical data modeling technology so as to provide a basis for evaluation; the scene performance evaluation module is used for carrying out comprehensive evaluation on the carriers in a plurality of business scenes, carrying out comprehensive scoring on the plurality of carriers through a multi-index evaluation method, and obtaining a comprehensive score ranking of the plurality of carriers; and the carrier relationship detection module is used for analyzing the association relationship between the preferred carrier and other carriers. According to the invention, the accuracy of evaluation is improved, and the adaptability of the system to a complex business environment is enhanced, so that an enterprise can make a more scientific decision when selecting a carrier.

The invention discloses a high-quality full employment distribution prediction system and method, and relates to the technical field of employment prediction. The system comprises a data integration platform module, a prediction model construction module, a group identification and occupational planning module, a labor flow prediction module, an occupational development trend prediction module and an employment difficulty group monitoring and early warning module. An advanced big data analysis and machine learning technology is applied to construct an innovative prediction model, and the model can process and analyze large-scale multi-dimensional data including industry classification, occupational transition, educational background distribution and skill requirements, can comprehensively reflect the dynamic change of an employment market in real time, and has a good application prospect. Unstructured employment data is deeply processed by means of a machine learning technology, employment types are divided into four types of high-quality full employment, full but non-high-quality employment, insufficient employment and unemployment, and unemployment risk groups are identified, so that more accurate employment prediction and personalized occupational planning suggestions are provided, and the employment prediction efficiency is improved. Scientific decision-making basis is provided for the government and enterprises, and timely strategy adjustment is made.

The invention discloses a BIM-based municipal road construction method and system, and the method comprises the steps: collecting traffic flow data, accident information and weather conditions, and generating original traffic data and traffic state data; collecting construction data; cleaning and processing the collected original traffic data and traffic state data to obtain traffic data and traffic information characteristics; generating traffic flow prediction data and an initial model framework based on the traffic data and the traffic information features; generating a construction scheme and a stage schedule by using an optimization algorithm in combination with the predicted traffic flow data and construction data; and filling the construction scheme and the stage schedule into the initial model framework to generate an initial BIM model, and generating the BIM model according to the construction data through dynamic traffic simulation. Through collection, processing and analysis of comprehensive traffic data and construction data, a construction scheme is optimized, and dynamic traffic simulation is carried out, so that the construction efficiency is remarkably improved, traffic congestion is reduced, and the construction safety is improved.

The invention is suitable for the technical field of disaster monitoring, and provides a natural disaster monitoring method and device, a storage medium and electronic equipment, and the natural disaster monitoring method provided by the invention comprises the steps: responding to a natural disaster event flow acquired by a dynamic visual sensor, and carrying out the reconstruction based on the natural disaster event flow to obtain a natural disaster image; recognizing the natural disaster image through an edge detection algorithm and an optical flow estimation algorithm, and obtaining the occurrence position and spreading characteristics of the natural disaster; recognizing the natural disaster image through a spatial wavelet transform algorithm and a spatial neighborhood filtering algorithm to obtain the disaster level of the natural disaster; and under the condition that the disaster grade meets the early warning condition, generating early warning prompt information based on the occurrence position, the spreading characteristic, the disaster type and the disaster grade, and outputting the early warning prompt information.

The invention particularly relates to a data synchronization method and system based on Rocket MQ. According to the data synchronization method and system based on the Rocket MQ, the state of a Rocket MQ cluster is monitored, and monitored ground state information is recorded into a cluster state table; the method comprises the following steps: after a consumer program receives a main data change message, firstly writing the message into a cache table checkdatatable, and adding a checkstatus field for each message to identify whether the message is successfully processed or not, the initial value being "unprocessed"; under the control of the transaction, the consumer program updates the data in the business library; and after the business library is successfully updated, updating a checkstatus field of a corresponding message in the checkdatatable to be'processed ', submitting the offset of the Rocket MQ, and confirming that the message is processed. The data synchronization method and system based on the Rocket MQ are high in expansibility, capable of ensuring that data changes are reflected to all service systems in real time, capable of reducing delay, high in fault-tolerant capability, simpler and more efficient in fault recovery process and capable of remarkably improving the real-time performance and accuracy of synchronization of main data changes.

The application relates to the technical field of electrical fire risk assessment, and discloses an electrical fire risk dynamic assessment platform and method, which comprises the following steps: obtaining physical space metadata and maintenance task attributes of an electrical device to be assessed, and generating a standard operation space-time envelope; collecting motion sensor data streams of a patrol handheld terminal, and generating a measured trajectory space-time tube; performing a space-time Boolean intersection operation on the measured trajectory space-time tube and the standard operation space-time envelope to obtain an effective overlapping volume, and then generating a risk amplification coefficient, correcting a basic physical risk index to obtain a post-control dynamic risk index; the space, time and action intensity requirements of the maintenance operation are converted into a calculable four-dimensional space-time geometric entity and subjected to a Boolean intersection operation, the quantitative assessment of the essence and the fineness of the maintenance operation is realized, the false maintenance phenomenon caused by the dependence on NFC clocking is effectively eliminated, and the objectivity and the accuracy of the electrical fire risk assessment are improved.

This invention relates to a nuclear-targeted multimodal imaging diagnostic probe with BNCT therapeutic efficacy, its preparation, and its application, belonging to the fields of biomedicine and nuclear medicine technology. This boron drug contains... 10 Using acetylacetone difluoroborate as the parent nucleus, this invention endows the tumor with nuclear targeting ability by introducing N- or S-containing heterocyclic structures, while utilizing its conjugated structure to provide fluorescence / photoacoustic dual-modal imaging functionality. Based on this, the invention achieves three core functions: first, through fluorescence / photoacoustic dual-modal imaging, it enables the visual localization and real-time monitoring of tumor sites; second, by leveraging the binding of nuclear targeting groups to nuclear DNA / RNA, it... 10 B is precisely delivered into the nucleus, significantly improving the killing efficiency of BNCT; thirdly, thermal neutron irradiation is performed under imaging guidance, triggering... 10 The B(n,α)⁷Li nuclear fission reaction ultimately enables high-precision integrated diagnosis and treatment. This invention also discloses a method for preparing this probe, which has promising clinical application prospects.

The utility model discloses a multi-sensor environment monitor for real-time data transmission. The multi-sensor environment monitor comprises a surface shell, a bottom shell matched with the surface shell, a 4G external antenna with one end inserted into the surface shell, a sound cavity arranged on the surface shell, a buzzing sheet arranged on the sound cavity, a PCB assembly arranged on the bottom shell, a gas sensor, a laser dust sensor and a 4G small plate, a main control circuit, a temperature and humidity circuit, a power supply circuit, an RS485 conversion circuit, a voice output circuit, an LED lamp indicating circuit and a historical record output circuit are arranged on the PCB assembly; the corresponding ends of the main control circuit are electrically connected with the corresponding ends of a temperature and humidity circuit, a power supply circuit, an RS485 conversion circuit, a voice output circuit, a historical record output circuit, an LED lamp indicating circuit, a buzzer, a 4G small plate, a 4G external antenna, a gas sensor and a laser dust sensor. According to the utility model, the hydrogen sulfide sensor, the ammonia gas sensor, the methane gas sensor and the laser dust sensor are integrated, various pollutants can be monitored at the same time, the monitoring process is simplified, and the equipment cost is reduced.

This invention provides a photovoltaic power plant operation and maintenance method and system based on digital twins, relating to the field of photovoltaic power plant technology. It includes acquiring and registering multi-source 3D mapping data, and performing spatial segmentation and parallel 3D reconstruction based on a cloud-distributed architecture. By matching real-time running data with spatial indexes, the data is dynamically mapped to a digital twin to achieve status updates, and finally, a complete 3D digital twin scene is generated for operation and maintenance monitoring and optimization. This invention improves the efficiency of 3D reconstruction and the real-time update capability of the digital twin model, providing support for refined operation and maintenance of photovoltaic power plants.

The utility model relates to the technical field of methane detection devices, in particular to a distributed methane detection device with a fiber bragg grating, which comprises a detection device, an external mechanism and a control panel are arranged on the detection device, the external mechanism comprises an optical fiber and a butt joint groove, the optical fiber is provided with the fiber bragg grating and a connector, and the control panel is arranged on the butt joint groove. Platinum films are arranged on the optical fiber Bragg gratings, the butt joint groove is formed in one side of the detection device, a fan-shaped groove is formed in the butt joint groove, an interface is formed in the butt joint groove, positioning grooves are formed in the two sides of the butt joint groove, and the external connection mechanisms are arranged in the butt joint groove. According to the structure, a plurality of external mechanisms are integrated in the detection device, and each external mechanism is provided with a fiber bragg grating sensor, so that methane concentration data of a plurality of monitoring points can be obtained at the same time, and a distributed monitoring network in space is formed.

The invention discloses a side slope monitoring device, and belongs to the technical field of side slope engineering, the side slope monitoring device comprises a side slope, a rainfall and liquid level monitoring assembly, a stress monitoring assembly and a deformation monitoring assembly, and a plurality of fixed platforms are arranged along the inclination direction of the side slope at intervals; a rain gauge liquid level monitoring assembly is arranged on a side slope to obtain rainfall seepage data of the side slope, a stress monitoring assembly is arranged to obtain mechanical data such as internal stress of the side slope, and a deformation monitoring assembly is arranged to obtain absolute deformation data of the side slope, so that a set of comprehensive and reliable side slope monitoring system capable of reflecting in real time is constructed. Therefore, early warning of slope dangerous cases is facilitated, and corresponding measures are guided to be taken. The slope monitoring device provided by the invention is convenient to set, can be installed at one time, realizes real-time monitoring, aims at solving the slope engineering monitoring requirement as a starting point, meets the monitoring project content, effectively improves the quality of monitoring data, and has a relatively good application prospect and popularization value.

The invention relates to the technical field of rich text editors, in particular to a rich text editor operation method supporting a dynamic template. The method comprises the following steps: inserting dynamic data through a rich text editor and outputting the dynamic data as HTML (Hypertext Markup Language) content; pre-compiling the received HTML content by a pre-compiler and writing the pre-compiled HTML content into a database; analyzing and rendering the pre-compiled HTML content in the database; according to the method, the limitation of an existing rich text editor in the aspects of dynamic data processing and collaborative editing is effectively solved, a user can directly insert and operate dynamic data in the editor, richer and more personalized documents are created, and the content management flexibility is improved; the pre-compiling mechanism optimizes the content loading and presenting speed and enhances the user experience; editing conflicts are avoided through multi-user collaborative editing, data integrity is ensured, and collaborative efficiency and transparency are improved through real-time synchronization.

The embodiment of the invention provides a safety monitoring system, method, device and equipment, a medium and simulation equipment, which are used for building a simulation test platform for a computer monitoring system. Acquiring simulation operation data executed by the user on the simulation test platform, and sending the simulation operation data to the second safety monitoring equipment; the first safety monitoring equipment is used for collecting historical data and real-time monitoring pictures of the computer monitoring system and sending the historical data and the real-time monitoring pictures to the second safety monitoring equipment; the second safety monitoring equipment is used for training the pre-training model according to the simulation operation data and the historical data to obtain a target prediction model; and inputting the real-time monitoring picture into the target prediction model, and enabling the target prediction model to output a safety prediction result for the computer monitoring system. Therefore, safety monitoring can be carried out on the computer monitoring system, analysis based on experience does not need to be carried out by professional analysts, and the health states of the system and equipment can be reflected and early warned in real time.

The invention discloses an archive multi-dimensional element management method and system based on a knowledge graph, and relates to the technical field of archive information management, and the method comprises the steps: carrying out the element recognition and relation extraction of archive information resources, obtaining an archive entity set and an initial incidence relation between entities, and constructing an archive knowledge graph based on the initial incidence relation; monitoring an archive change event in the archive knowledge graph, and extracting an event feature of the change event; carrying out fusion analysis on the basis of the event characteristics and the current state of the archive knowledge graph, and generating an associated transition contract containing a change basis, an operation instruction and a verification condition; according to the method, the event characteristics including direct operation information, local context and global association influence can be comprehensively extracted, and the association change contract covering the change basis, the operation instruction and the verification condition is generated by combining the current state of the graph, so that the self-adaptive response to the entity association dynamic evolution is realized; it is ensured that the map can accurately reflect element relation changes of the real world in real time.

The invention discloses a single-beam light field stability detection device and method, and relates to the technical field of laser. The device comprises a semiconductor laser, a He-Ne laser and a femtosecond laser, a reflecting mirror, a beam expanding mirror, an attenuation piece, a scattering medium, a bonding lens, a CCD camera and a computer used for image information extraction are arranged on emitting light paths of the semiconductor laser, the He-Ne laser and the femtosecond laser, and the semiconductor laser is placed in front of the reflecting mirror to serve as a light field to be measured; according to the invention, the scattering medium is adopted to carry out stable disturbance on the to-be-measured light beam, the optical structure is simplified, the measurement efficiency is improved, the stability change of the semiconductor laser field can be accurately reflected in real time through high-speed acquisition and long-time monitoring of the CCD camera, and the detection accuracy is improved through the detection device and method. The method has the advantages of simplicity and convenience in operation, low cost, wide application range and the like, and can be widely applied to the fields of semiconductor laser production, detection and scientific research and other types of light field stability detection occasions.

The invention discloses a wall surface cavitation erosion strength and protection effect evaluation method based on wall surface acting force measurement. The method comprises the following steps: measuring cavitation acting force of a test wall surface by using a force sensor; secondly, collecting acting force data to obtain the original data of the cavitation acting force of the test wall surface on which the protective measures are applied; according to the original data, obtaining the duration time and the maximum negative peak value of the normal acting force of the impact wall surface, and the duration time and the maximum positive peak value of the normal acting force deviating from the wall surface; then, according to the original data of the acting force and the acting force duration in the corresponding direction, the cavitation collapse acting force impulse is calculated, so that the cumulative effect of the cavitation acting force on the wall surface is evaluated; and finally, the attenuation degree of the cavitation acting force peak value and the impulse under the protection measure is calculated through the attenuation rate. The transient acting force borne by the wall surface is directly measured through the acting force measuring system, impulse evaluation is introduced, and the acting strength of the acting force on the wall surface in the impact direction and the deviating direction can be displayed respectively.

The invention provides a method for detecting damage of short-circuit current impact to a main transformer, which comprises the following steps: when the main transformer is impacted by short-circuit current, acquiring actual short-circuit current of high, medium and low voltage sides of a transformer, and extracting the maximum current as the final actual short-circuit current; based on the rated capacity of the transformer, the high-to-low impedance voltage of the transformer, the rated current of the low-voltage side of the transformer, the rated capacity of the high-voltage side of the transformer and the rated capacity of the low-voltage side of the transformer, in combination with the system short-circuit apparent capacities of the high-voltage side, the medium-voltage side and the low-voltage side of the transformer, allowed short-circuit currents of the high-voltage side, the medium-voltage side and the low-voltage side of the maximum current is extracted as the final allowable short-circuit current; and determining the current short-circuit condition of the near area, and formulating a test item to detect the damage condition of the transformer in combination with the final actual short-circuit current and the final allowable short-circuit current or the rated current of the main transformer. By implementing the method, the problems that manual analysis is low in efficiency and easy to make mistakes can be solved, and the health condition of the transformer can be evaluated by formulating a series of test items.

The present invention belongs to the field of intelligent circulation of agricultural products, and in particular, relates to a circulation and monitoring method and system based on an AI agricultural product knowledge graph. The method firstly integrates public data of agricultural products with internal business data to construct a multi-dimensional unified agricultural product information format. Secondly, entity recognition and relationship extraction technology are used to construct an agricultural product knowledge graph and update it in real time. Thirdly, the circulation data of agricultural products is monitored in real time in combination with Internet of Things devices to realize dynamic updating of the knowledge graph. Fourthly, the knowledge graph is used to construct an agricultural product circulation path model, and the key indicators of the supply chain are monitored through a graph analysis algorithm to realize abnormal warning and visual display. Finally, based on the updated knowledge graph and real-time monitoring data, a deep learning recommendation algorithm is used to push matching business opportunities to users, and the recommendation model is optimized through user feedback. The present invention effectively improves the circulation efficiency of agricultural products and the accuracy of business opportunity monitoring, and provides users with more accurate business opportunity information.

The present invention discloses an integrated drilling tool for drilling, sampling and real-time measurement, which is applied to the fields of geological exploration, geophysical exploration engineering, space drilling, etc., and uses a drill bit to complete the sampling of the required strata while drilling, so as to obtain a new type of drill bit structure with low disturbance and in-situ samples, and realize the real-time acquisition requirements of information and data of the strata information of the hole wall, physical and mechanical properties related parameters, etc. while taking out the samples, so as to achieve the efficient and reliable goal of integrated drilling, sampling and measurement. The integrated drilling tool of the present invention combines the measuring component with the part of the drill rod close to the drill bit. When drilling normally, the measuring component does not work, and rotates with the drill bit to ensure the progress of drilling and sampling; when drilling is completed, the measuring component pops out to the hole wall, and while the drill is lifted upward, the measuring component performs testing or data acquisition in real time on the hole wall, so that the integration of drilling, sampling and real-time measurement can be realized, with high efficiency, good accuracy, short cycle and low cost.

The invention discloses a storage main control chip buffer area management method and system, and relates to the technical field of storage. The buffer area comprises the main buffer area and the auxiliary buffer area, real-time and accurate monitoring of the space use state of the buffer area is achieved through the register, an auxiliary buffer area power-on triggering mechanism based on the residual space threshold value is assisted, the auxiliary buffer area is dynamically awakened only when the space of the main buffer area is about to be exhausted, and the time of the main buffer area is shortened. On one hand, the auxiliary buffer is prevented from being in a no-load power supply state for a long time, and on the other hand, the data is preferentially and intensively stored in the main buffer, and data integrity and system response speed are ensured while power consumption management is realized.

The present invention relates to the technical field of photovoltaic temperature measurement, and in particular to an optical fiber temperature measuring device for a photovoltaic cell assembly, comprising a photoelectric conversion module, a fluorescent temperature measuring probe, a bare optical fiber, a conducting optical fiber, an ST-FC adapter, a heat shrink tube and a groove provided on the photovoltaic cell assembly, wherein the groove extends to the edge of a photovoltaic panel assembly, the end of the bare optical fiber is provided with a fluorescent temperature measuring probe, the bare optical fiber with the fluorescent temperature measuring probe is led out along the groove on the surface of the photovoltaic cell assembly to the edge of the photovoltaic cell assembly, the fluorescent temperature measuring probe is tightly fixed in the groove on the surface of the photovoltaic cell assembly, the bare optical fiber is connected to the photoelectric conversion module through the conducting optical fiber and the ST-FC adapter, and a heat shrink tube is sleeved at the junction of the conducting optical fiber and the edge of the groove of the photovoltaic cell assembly; the optical fiber temperature measuring device provided by the present invention places the probe directly on the surface of the photovoltaic cell, directly contacts with the hot spot of the crystal, can follow the temperature rise of the crystal surface more quickly, and reflect the real-time temperature.

This utility model discloses a chemical storage component and a water tank cleaning base station. The chemical storage component includes a storage chamber and a detection mechanism. The storage chamber stores the chemical, and the outlet allows the base station to supply the chemical to the water tank and / or cleaning equipment, meeting the need for adding chemical during water tank maintenance. The detection mechanism can detect the chemical level, solving the problem in existing technologies where users cannot know the chemical level in the base station in a timely manner. Users no longer need to spend time and effort checking the chemical level periodically, reducing maintenance costs. Moreover, it avoids situations where the water quality in the tank cannot be effectively adjusted due to the failure to detect the chemical depletion in time, ensuring the normal use and hygiene of the water tank.