28results about How to "Guaranteed accuracy and reliability" patented technology

The invention discloses a distribution network line fault early warning and accurate positioning system, and relates to the technical field of distribution network line monitoring. In order to solve the problems that in actual operation, due to the complexity of a power grid, the situation of false alarm or missing alarm may exist, and in actual application, accurate fault positioning is crucial for quickly recovering power supply and reducing power failure time, and the accuracy of fault position positioning is low. Distribution network line data and traveling wave signals are accurately acquired in real time through the data acquisition unit, abnormal changes in a distribution network can be found in time through the fault early warning unit, the fault type can be rapidly identified, the fault occurrence position can be accurately calculated through the fault positioning unit, the rod fixing data of a fault point can be determined, and the fault positioning accuracy can be improved. According to the invention, the time of troubleshooting by operation and maintenance personnel is reduced, the fault processing efficiency is improved, the operation and maintenance personnel can remotely monitor the operation state of the power distribution network, the convenience and efficiency of operation and maintenance are improved, intelligent monitoring and management of the power distribution network are realized, and the operation and maintenance cost is reduced.

The invention relates to a rice growth process three-dimensional scene construction method based on a crop growth model and a rendering engine, and the method comprises the following steps: obtaining plant density, distribution, leaf inclination angle distribution, a leaf spectrum, a canopy spectrum and substrate reflectivity through a field experiment, and constructing a single-plant rice 3D model; coupling a crop growth model, and describing vegetation canopy reflection characteristics through canopy structure parameters and leaf BRDF to simulate canopy reflection factors; respectively calculating a water body scattering phase function and a water surface BRDF according to the water body biological optical model and the wave water surface reflection model; generating a three-dimensional water body volume model through an AVRM model; blender software is combined with a LuxCoreRender rendering engine to couple incident radiation, vegetation canopy reflection factors, water optical attributes and other related input parameters, and a real rice scene is constructed. According to the method, the high-precision three-dimensional rice scene model is established, important technical support is provided for improving the precision and efficiency of rice remote sensing radiation modeling and further for agricultural remote sensing and wetland monitoring, and the method has popularization and application prospects.

The invention belongs to the field of thermostatic bath cavities, and provides a thermostatic bath cavity structure and a magnetic type surface temperature sensor calibration system. Wherein the thermostatic bath cavity structure comprises a stirring cavity and a working cavity which are mutually independent; connecting channels are arranged at the upper parts and the lower parts of the stirring cavity and the working cavity; a temperature sensor is arranged in each connecting channel and is used for detecting the temperature field change condition in the stirring cavity and transmitting the temperature field change condition to the controller; the top of the working cavity is connected with a sunken flange plate, a working surface is arranged in the sunken flange plate, and at least two detected sensor stations are distributed on the working surface; a stirring mechanism, a heating coil and a refrigerating coil are arranged in the stirring cavity; the controller is used for controlling the working states of the stirring mechanism, the heating coil and the refrigerating coil according to the temperature field change condition in the stirring cavity, so that the temperature field in the stirring cavity is uniformly maintained at a set temperature.

The invention relates to the technical field of detection devices, and discloses a paint coating detection device which comprises an outer shell, a bottom column is fixedly mounted at the bottom end of the interior of the outer shell, and a cross rod is movably mounted in the bottom column. The two pairs of collecting boxes are rotatably arranged on the bottom column through the cross rod, so that the coating in the coating containing funnels correspondingly arranged on the upper portion directly falls into the collecting boxes in the downward flowing process, and the collecting boxes on the two sides can be used for collecting the coating in the flowing and falling process of the coating; according to the falling amount of the coating, the collecting box containing the coating with good fluidity at one end is directly pressed down, the other side is warped up, and due to the fact that the collecting box is synchronously controlled through the driving gear, it can be guaranteed that the two coating containing funnels can rotate by the same angle at the same time; therefore, the influence of other factors is eliminated in the flowability detection process of the coating contained in the coating containing funnel.

The invention relates to the technical field of detection methods, and discloses a method for determining the content of triterpene alcohol in camellia oil, which comprises the following steps: (1) saponifying and extracting a camellia oil sample, and loading on a machine to be detected; then carrying out silanization derivation treatment, and loading to be detected again; (2) beta-amyrin, butyryl whale alcohol and lupeol are respectively prepared into standard solutions, the standard solutions of the beta-amyrin and the butyryl whale alcohol are directly put on a machine to be detected, and the standard solution of the lupeol is put on the machine to be detected after being subjected to silanization derivation treatment; (3) gas chromatography detection: the temperature rise mode of the column temperature is that the temperature is kept at 180-190 DEG C for 1-5 min, then the temperature is raised to 260-300 DEG C at the rate of 10-15 DEG C / min, and the temperature is kept for 20-40 min; the split ratio is (20-40): 1. According to the method, the triterpene alcohol is measured by adopting a gas chromatography external standard method, and the result is more scientific, advanced, accurate and reliable.

The invention relates to the technical field of equipment calibration, in particular to a fluorescence microscope metering calibration method and system.The detection end is connected with a host, the detection end is provided with a standard light source and a micropore array plate matched with the magnification times of an objective lens, the standard light source serves as the standard light source, and the host controls the luminous intensity of the host to be adjustable through an electric signal; by adopting the micropore array plate, the light source is in uniform light transmission, equal-scale and gradient dot matrix arrangement, and objective lens magnification, imaging uniformity, imaging linearity and optical linearity calibration are carried out in sequence, so that the system not only has traceability, reusability and controllability, but also is low in use cost and high in reliability; meanwhile, the magnification, the light uniformity, the imaging linearity and the optical linearity of the eyepiece of the measured fluorescence microscope are gradually calibrated, so that the accuracy and the reliability of measured data are ensured.

The invention provides an artificial intelligence-based motion capture collection method and system, and the method comprises the steps: carrying out the multi-dimensional collection of the sign representation information of a human body based on a multi-dimensional sensor, and carrying out the preprocessing of the collected sign representation information; training and optimizing a deep learning model based on the preprocessed sign representation information, and performing multi-dimensional application scene interaction adaptation on the trained and optimized deep learning model; and fusing the real-time sign information collected by the multi-dimensional sensor, inputting a fusion result into the adapted deep learning model for analysis, and feeding back an analysis result to a corresponding management terminal based on a multi-dimensional application scene interaction adaption result. The motion capture efficiency and reliability are improved, meanwhile, the motion capture operation is simplified, and the motion capture effect is guaranteed.

The invention discloses an intelligent monitoring and management system for a dust removal air duct unblocking robot, and relates to the technical field of intelligent control. According to the technical scheme, through analog-to-digital conversion and multiple signal filtering technologies of a signal processing module, data transmission delay in a high-temperature or strong electromagnetic interference environment is effectively reduced; the real-time performance and precision of operation feedback of the unblocking robot are improved; the data monitoring module utilizes a plurality of sensors to combine with a filtering algorithm, so that the monitoring precision in a complex electric power environment is improved, and the accuracy and reliability of the unblocking effect are ensured; the fault prediction analysis module calculates a fault prediction value Fyz in real time and evaluates the fault prediction value Fyz, and if the fault prediction value Fyz exceeds a fault tolerance threshold value C, an early warning instruction is sent out immediately to guarantee the continuity of a key task; the intelligent management module sets a management threshold value Qj, dynamically evaluates a blockage clearing effectiveness index Cjxzb, and if the management threshold value Qj is lower than the threshold value, intervention means such as monitoring precision improvement, blockage clearing strategy adjustment and an intermittent blockage clearing mode are started, so that the efficient and stable blockage clearing process is ensured.

The invention provides a method and system for controlling the line shape and stress of a steel box arch rib based on temperature influence, and the method comprises the steps: obtaining historical temperature data of a region where a to-be-built steel box arch rib is located and basic characteristic parameters of the steel box arch rib, carrying out the correlation analysis of the historical temperature data and the basic characteristic parameters, and constructing a target analysis model; acquiring a real-time monitoring temperature data sequence of a region where the to-be-built steel box arch rib is located based on the sensor period, and determining representative monitoring temperature data at different moments in each period based on the real-time monitoring temperature data sequence; and analyzing the representative monitoring temperature data at different moments based on the target analysis model to obtain linear and stress state characteristics of the to-be-built steel box arch rib at different moments, determining the optimal closure temperature of the steel box arch rib based on the construction requirements and the state characteristics, and controlling the linear and stress of the steel box arch rib based on the optimal closure temperature. And effective control on the line shape and stress of the steel box arch rib is realized.

The invention provides a financial case information mining system and method based on a large language model, and the method comprises the steps: carrying out the preprocessing of a financial case file through a financial law large language model, and carrying out the entity recognition of the preprocessing data through the financial law large language model and a constructed financial law knowledge graph; and the man-machine loopback module intelligently analyzes and determines the entity recognition result, performs entity relationship recognition according to the determined entity recognition result by using a financial law big language model and a financial law knowledge graph, intelligently analyzes and determines the entity relationship recognition result, and outputs the recognized entity and entity relationship. The accuracy and reliability of the identification result are ensured while the identification efficiency is improved, the omission condition of the entity relationship is avoided as far as possible, and the financial case handling accuracy requirement is met.

The embodiment of the invention relates to the technical field of networks, and particularly provides a route matching method, device and equipment, a network card and a computer program product. The route matching method comprises the following steps: acquiring to-be-processed data; a dictionary tree used for matching the to-be-processed data is determined, the dictionary tree comprises at least one link data structure, and the link data structure is a single branch structure composed of at least one link node; the data corresponding to the link data structure at least comprises a query address of the end point link node and address data corresponding to the link data structure; and querying the dictionary tree to obtain target matching data corresponding to the to-be-processed data, and determining a routing forwarding rule corresponding to the to-be-processed data based on the target matching data. In the embodiment, when the dictionary tree is utilized to perform the matching operation on the to-be-processed data, the link data structure in the dictionary tree is used as an integral node to perform the matching operation, so that the efficiency of accessing the dictionary tree is effectively improved.

The utility model discloses a garbage incinerator flue gas oxygen concentration online detection analyzer and a garbage incinerator. The analyzer comprises a filter unit, a cooling unit, a gas-water separation unit, a heating unit, an oxygen concentration detection unit and an online correction unit, the filtering unit, the cooling unit, the gas-water separation unit, the heating unit and the oxygen concentration detection unit are sequentially connected through pipelines; the online correction unit comprises a plurality of standard oxygen tanks, and oxygen with different concentrations is stored in the standard oxygen tanks; and each standard oxygen tank is connected with the oxygen concentration detection unit. The oxygen concentration detection device has the advantages of accuracy and reliability in oxygen concentration detection and the like.

The application relates to the technical field of semiconductor processing processes, and discloses a mask pattern optical proximity correction method, device, equipment and storage medium, the mask pattern optical proximity correction method comprises the following steps: performing topography prediction on a polishing surface of a wafer to be processed to obtain polishing surface topography information; correcting a focal plane parameter in a simulation optical model according to the polishing surface topography information; and performing optical proximity correction on an initial mask pattern by using the corrected simulation optical model to obtain a corrected mask pattern. In the application, the polishing surface topography information of the wafer to be processed is predicted first, and the focal plane parameter in the simulation optical model is corrected based on the polishing surface topography information, so that the accuracy and reliability of optical proximity correction of the initial mask pattern based on the simulation optical model are ensured, and the processing precision of semiconductor photolithography based on the mask pattern is improved.

The utility model provides an automatic testing device for a fluid control device, which comprises a testing platform, a sealing element, a fluid supply pipeline, a lifting mechanism and a testing mechanism, and is characterized in that the testing platform is provided with a mounting base, and the fluid control device is mounted on the mounting base and is communicated with the mounting base to realize positioning so as to ensure the accuracy and reliability of automatic testing; the lifting mechanism is used for controlling the fluid supply pipeline to move between a first position and a second position relative to the test platform, the fluid supply pipeline is communicated with the fluid control device at the first position and is hermetically connected with the fluid control device through a sealing element, and the fluid supply pipeline is far away from the fluid control device at the second position; and the testing mechanism is used for testing the fluid output by the mounting base so as to test the performance of the fluid control device. According to the automatic testing device, automatic testing of the fluid control device can be achieved, the problem that an existing manual testing process is tedious is effectively solved, the labor cost and the error rate are reduced, and the testing efficiency and the testing precision are improved.

The utility model discloses an additive putting device and a clothes processing device, belongs to the technical field of clothes additive putting, and solves the problem that the number of switch elements in the prior art is small, so that the number of identified additive types is small. The triggering pieces are in one-to-one correspondence with the switch elements, each triggering piece corresponds to one guide surface, the two adjacent triggering pieces are separated by the guide surface, and the guide surface has two types, namely a first guide surface and a second guide surface; the rotation angle of the trigger piece when the trigger piece moves along the first guide face is not smaller than the rated angle of the trigger piece enabling the switch element to act, and the switch state of the switch element forms a first signal. The rotation angle of the trigger piece when moving along the second guide face is smaller than the rated angle of the trigger piece enabling the switch element to act, the switch state of the switch element forms a second signal, and the guide face is selected from the first guide face and the second guide face.

The present invention relates to the technical field of equipment calibration, and in particular to a fluorescence microscope metrology calibration method and system. A detection end is connected to a host, and the detection end is provided with a standard light source and a micro-hole array plate matching the magnification of an objective lens. The standard light source is used as the standard light source, and the host controls the adjustable luminous intensity with an electrical signal. The micro-hole array plate is used to make the light source uniformly transparent, with equal scale and gradient dot array arrangement, and the objective lens magnification, imaging uniformity, imaging linearity, and optical linearity calibration are sequentially performed. The system is not only traceable, reusable, and controllable, but also has low use cost and high reliability. At the same time, the accuracy and reliability of the measurement data are ensured by gradually calibrating the magnification of the eyepiece, light uniformity, imaging linearity, and optical linearity of the fluorescence microscope being measured.

The invention provides a mobile medical electronic signature system based on electronic authentication, and the system comprises a certificate issuing module which is used for importing doctor user information into an edge front internal controller, synchronizing the information to a cloud master controller, and issuing a user certificate based on the doctor user information according to the cloud master controller and a mobile client; the electronic signature module is used for receiving a to-be-signed original text based on the edge preposition internal control and generating to-be-electronically signed data based on the cloud general control after the user certificate is signed and issued, and meanwhile, the mobile client terminal executes the electronic signature according to the to-be-electronically signed data; and the verification module is used for verifying the to-be-signed original text and the signature result based on the edge preposition internal control and generating a verification result. And the security, credibility, reliability and high efficiency of the mobile medical electronic signature are ensured.

The utility model discloses a differential hydraulic cylinder control system for a pile hammer. A hydraulic power oil source is communicated with a lower cavity of a hydraulic cylinder and a differential cartridge valve working cavity of a differential cartridge valve; an upper cavity of the hydraulic cylinder is communicated with a differential cartridge valve annular cavity of the differential cartridge valve and an oil return cartridge valve working cavity of the oil return cartridge valve, and an oil return cartridge valve annular cavity of the oil return cartridge valve is communicated with an oil tank. A hydraulic power oil source leads to a pressure oil port P of a differential control electromagnetic valve, a working oil port A of the differential control electromagnetic valve is communicated with a differential cartridge valve control cavity of the differential cartridge valve, and an oil return port T of the differential control electromagnetic valve leads to an oil tank. The hydraulic power oil source further leads to a pressure oil port P of the oil return control electromagnetic valve, a working oil port A of the oil return control electromagnetic valve is communicated with an oil return cartridge valve control cavity of the oil return cartridge valve, and an oil return port T of the oil return control electromagnetic valve leads to the oil tank. The control system is large in through flow, sensitive in action, safe and reliable, and control over oil pressure and flow is conveniently achieved.

The invention relates to the technical field of coal bed gas exploration, in particular to a visualization method for simulating micro occurrence and flowing of deep coal rock gas. According to the visualization method for simulating the microscopic occurrence and flowing of the deep coal rock gas, in-situ pressure, temperature and crustal stress parameters of a preset burial depth are estimated, and simulation boundary conditions including the in-situ pressure, temperature and crustal stress parameters are loaded into a molecular model, so that a simulation boundary consistent with an actual deep environment is directly established, and the real deep coal rock gas microcosmic occurrence and flowing are simulated. And the technical bottleneck that in-situ complex conditions cannot be reproduced in a laboratory is solved, so that a simulation result is closer to engineering practice, and the accuracy and reliability of a visual result are ensured. According to the visualization method, calculation of free-state methane is introduced in a targeted mode, so that the method is more adaptive to the characteristic that the proportion of the free-state methane in the deep coal and rock gas is high, and it is guaranteed that the visualization method can more accurately simulate the actual situation of the deep coal and rock gas.

The present application relates to the technical field of mask lithography, and discloses a hot spot layout correction method, device and equipment in a mask layout and a storage medium, the hot spot layout correction method comprises determining a hot spot layout in an initial mask layout; determining the environmental graphic parameters of each contour edge segment in the hot spot layout; constructing a basic optimization objective function according to the edge placement error varying with the displacement amount of the contour edge segment; superimposing an optimization compensation term on the basic optimization objective function according to each environmental graphic parameter to obtain an optimization objective function; optimizing the displacement amount of each contour edge segment according to the optimization objective function to obtain the corrected displacement amount corresponding to each contour edge segment, so as to determine the corrected layout of the hot spot layout. The present application realizes the automatic correction of the hot spot layout without manual operation, improves the correction efficiency of the hot spot layout, and ensures the accuracy and reliability of the correction result.

The embodiments of the present invention relate to the field of network technology, and specifically provide a routing matching method, device, equipment, network card and computer program product. The routing matching method includes: obtaining data to be processed; determining a dictionary tree for matching the data to be processed, the dictionary tree includes at least one link data structure, the link data structure is a single branch structure composed of at least one link node, and the data corresponding to the link data structure includes at least: the query address of the end link node and the address data corresponding to the link data structure; querying the dictionary tree to obtain the target matching data corresponding to the data to be processed, and determining the routing forwarding rules corresponding to the data to be processed based on the target matching data. In this embodiment, when the dictionary tree is used to perform a matching operation on the data to be processed, the link data structure in the dictionary tree is matched as a whole node, which effectively improves the efficiency of accessing the dictionary tree.

The present invention provides a community LPG smart turnover warehouse early warning system and method based on multi-source data fusion, including: a multi-dimensional data acquisition module, which is used to collect multi-source monitoring data in the turnover warehouse in real time based on multi-source sensing equipment, and pre-process the multi-source monitoring data, and perform multi-source data fusion on the pre-processed multi-source monitoring data based on data fusion logic to obtain fused data; a data analysis module, which is used to build a multi-dimensional early warning model for the turnover warehouse, and perform real-time analysis of the fused data based on the multi-dimensional early warning model for the turnover warehouse; an early warning module, which is used to determine the operating status of the turnover warehouse based on the real-time analysis results, and when there is an abnormality in the operating status, perform corresponding early warning operations based on the abnormal phenomenon. The accuracy of early warning monitoring is improved, emergency measures are taken in a timely manner, and the operating reliability and safety of the turnover warehouse are guaranteed.

This application provides a request rewriting method, apparatus, device, and computer storage medium. The method includes: acquiring an information query request for implementing model training operations; determining the rewriting category to which the information query request belongs; determining positive and negative rewriting samples corresponding to the information query request based on the rewriting category; training a model based on the information query request, positive and negative rewriting samples to obtain a request rewriting model; and performing a request rewriting operation using the request rewriting model. In this embodiment, different sample selection strategies are used to perform sample selection operations based on different rewriting categories to which the information query request belongs. Then, model training is performed based on the positive and negative rewriting samples selected in the selection operation to obtain the request rewriting model, thereby ensuring the quality and effectiveness of the model training operation. Subsequently, the request rewriting operation is performed based on the request rewriting model, thus effectively ensuring the quality and efficiency of the request rewriting operation.

The invention discloses a magnetic bearing rotor vibration compensation method of a variable step-size LMS adaptive filter, which compensates for the imbalance of a six-pole radial hybrid magnetic bearing rotor, and makes a difference between a displacement difference at a current time n and a compensation signal value at a corresponding time n-1, respectively, to obtain instantaneous values ​​of errors in the X and Y directions at time n, and adopts a quasi-spike function model to calculate a step-size factor, and adaptively adjusts a weight coefficient based on the step-size factor to calculate the compensation signal values ​​at the current time n in the X and Y directions, and when the instantaneous error value is greater than or equal to an error threshold, makes a difference between the displacement difference and the compensation signal value at the current time n, to obtain a rotor vibration compensation difference; the invention adopts a variable step-size LMS algorithm, provides a longer step-size in the initial convergence stage of the algorithm, ensures that the algorithm has a faster convergence speed, and provides a shorter step-size in the convergence completion stage of the algorithm, so that the algorithm maintains better stability in the steady-state stage, ensures control accuracy, and makes the algorithm converge quickly and has low steady-state imbalance.

The invention provides a data configuration geographic information labeling operation system and method, and the system comprises a data collection module which is used for collecting geographic information data of a target region based on a multi-dimensional collection mode, and carrying out the multi-dimensional matching verification of the collected geographic information data, and obtaining geographic features; the information labeling module is used for carrying out geographic information labeling on a map of a target area according to the geographic features on the basis of a difference labeling mode, generating an affiliated description text on the basis of attribute information of the geographic features, and carrying out association labeling on a geographic information labeling result and the affiliated description text; and the data verification module is used for carrying out sampling detection on the associated labeling result, and archiving the associated labeling result when a sampling detection result meets an expected requirement so as to complete geographic information labeling operation. The accuracy and reliability of the finally obtained labeling result are ensured, meanwhile, the efficiency of the geographic information labeling operation is improved, the labeling operation is simplified, and the geographic information labeling effect is improved.

The invention discloses a fan twisting cover assembling and labeling machine which comprises a rack, a rotary conveying line, a jacking mechanism, a positioning die holder provided with a positioning structure, a feeding conveying line, a feeding twisting cover mechanical arm, a labeling mechanism, a discharging conveying line and a discharging mechanical arm. The rotary conveying line comprises a rotary chain, a rotary driver, a plurality of bearing seats and a positioning driver; each bearing seat is provided with a matching structure; the positioning driver is provided with a positioning structure; the jacking mechanism comprises a first jacking assembly and a second jacking assembly; the positioning die holder is arranged beside one side, back to the rotary chain, of the second jacking assembly; the feeding and cap twisting mechanical arm stretches across the feeding conveying line, the positioning die holder and the rotary chain. The labeling mechanism is adjacent to the feeding and cap twisting manipulator; the discharging mechanical arm stretches across the discharging conveying line and the rotary chain. The purposes that the upper cover is automatically fed, the upper cover and the fan body are automatically screwed and matched to obtain the fan, the upper cover of the fan is automatically labeled, and the labeled fan is automatically discharged are achieved.

The utility model relates to a sampling device for paddy field deep soil, and relates to the technical field of soil sampling devices. The sampling device for the deep soil of the paddy field comprises a cylinder and a soil column cutting part, wherein a sampling hole penetrating through the two ends in the axial direction of the cylinder is formed in the cylinder; the barrel comprises a first half barrel and a second half barrel, and one side of the first half barrel is hinged to one side of the second half barrel; the other side of the first half cylinder is detachably connected with the other side of the second half cylinder through a locking structure; the first half cylinder and the second half cylinder are buckled and encircled to form a cylinder body and a sampling hole; one side of the first half cylinder or the second half cylinder is provided with an inserting channel, and the soil column cutting-off piece comprises a connecting rod and a cutting-off shovel fixedly connected to the end of the connecting rod; the cutting shovel can penetrate through the inserting channel to be inserted into the sampling hole to be used for cutting the soil column in the sampling hole. The sampling device is simple in structure, low in manufacturing and using cost, convenient and reliable to use and capable of efficiently sampling deep soil of the paddy field.

The present invention discloses a remote heart rate detection network training method and device based on passive domain adaptation, wherein the method comprises: obtaining a target domain data set and preprocessing the target domain data set, the target domain data set comprising a plurality of target face image sequences without labels; obtaining weight parameters and a first remote heart rate detection network, the first remote heart rate detection network comprising a basic detection branch and a time detection branch and a space detection branch for supervised training, the basic detection branch comprising a first encoder and a first decoder, the time detection branch comprising a second encoder and a first decoder, and the space detection branch comprising a third encoder and a first decoder; initializing the first remote heart rate detection network using the weight parameters, and then training the initialized first remote heart rate detection network using the preprocessed target domain data set. The present invention can achieve excellent performance of migration from a source domain to a target domain, and ensure the accuracy and reliability of remote heart rate detection.