60results about How to "Resolving poor timeliness" patented technology

An embodiment of the invention discloses car using type prediction model establishment and information providing methods and devices. The car using type prediction model establishment method includes the steps of obtaining history car using order information of at least two users; extracting the car using scene information associated with the history car using order information; and generating a car using type prediction model by training a set prediction model based on the car using type and the car using scene information corresponding to the history car using order information. The technical scheme in the embodiment of the invention can solve the technical problems of high cost, poor timeliness and strong subjectivity in the prediction of the car using type in the prior art, and makes full use of the history car using order information that can reflect the actual needs of using cars of the users to optimize the car using type prediction technology and improve the accuracy of pushing the car using service information of the users.

The invention discloses a field data collection equipment precision checking method, a field data collection equipment precision checking apparatus, a collection vehicle and a field collection system.The field data collection equipment precision checking method comprises: carrying out at least two effective repeated data collection on ground objects in a pre-selected checking area, and obtainingbase station GPS data during the repeated collection; by combining with the base station GPS data, carrying out trajectory calculation on the data obtained by repeated collection to obtain the precisetrajectory data of the laser scanning data so as to obtain the laser point cloud data in a WGS84 three-dimensional coordinate system; carrying out point cloud ICP precise registration to obtain a registration error, determining whether the registration error exceeds a limit, ending the current task when the registration error exceeds the limit, and outputting precision over-limit prompt; and if the registration error does not exceed the limit, outputting collection task starting prompt. With the method and the apparatus of the present invention, whether the external calibration precision of the laser scanner of the collection vehicle meets the data collection requirements can be rapidly and effectively evaluated before each field collection task begins.

The embodiments of the present invention disclose an automobile insurance claim settlement method and system. The method includes the following steps that: the case information of a reported case is received, a survey task is assigned according to a preset dispatching rule; uploaded survey information is received, an OCR technology is adopted to identify driving certificate, driving license and license plate information contained in the survey information; uploaded survey result and loss assessment information is received, a speech recognition technology is adopted to convert speech information into a text; risk control information is calculated by using a preset risk rule model according to the survey information and the case information, and improved case information is received; the case information is sent to a review end for reviewing the case information; and after the case passes review, the case information is transcribed to a corresponding insurance company system. According to the automobile insurance claim settlement method and system provided by the embodiments of the present invention, the scientific level and efficiency of insurance claim settlement are improved through intelligent dispatching, intelligent image recognition, intelligent speed and intelligent loss assessment; the full-process early warning and troubleshooting of the insurance claim settlement are realized through an intelligent risk control system; case frauds and leakage risks are reduced; and case quality can be improved.

The invention provides a processing method and a device for remote sensing image data. The processing method comprises: the subsection is carried out on received remote sensing image data in a receiving time sequence, and obtaining multiple assigned image data after the subsection; as for each assigned image data, an image processing task corresponding to the assigned image data is generated; according to a current time slot, one or more image processing tasks corresponding to the current time slot are conducted, that is to say, based on the timing sequence corresponding to remote sensing data which is based on a time decoding, the processing task is generated by the remote sensing data corresponding to each time slot, and therefore the multichannel parallel can be achieved, in another word, aims of processing different tasks in different time slots can be achieved. According to the processing method and the device for the remote sensing image data, the poor timeliness problem of remote sensing image preprocessing system in the relevant technology is solved, and the efficiency for processing a remote sensing image is improved.

The invention discloses a batched instruction parsing method, a batched instruction parsing apparatus and a batched instruction parsing device, wherein the method comprises the following steps: receiving an instruction parsing request which carries a document identifier and a template identifier, wherein the document identifier is used for identifying a to-be-parsed instruction document comprisingbatched instructions, and the template identifier is used for uniquely identifying a template; acquiring the template corresponding to the template identifier from the preconfigured template, whereinthe template contains template configuration information; by the template configuration information, parsing the batched instructions in the to-be-parsed instruction document corresponding to the document identifier, and obtaining an instruction list corresponding to the to-be-parsed instruction document. Obviously, in the method, apparatus and the device provided by the invention, the batched instructions in the to-be-parsed instruction document corresponding to the document identifier can be parsed through the preset template configuration information, the corresponding instruction list isobtained, batched instruction parsing efficiency is improved, the batched instructions of different types also can be parsed through a mode of configuring the template, and a problem of low compatibility and poor timeliness of the existing instruction parsing system is solved.

The invention provides a multi-moving-target tracking method, so that effectiveness of the multi-moving-target tracking method can be guaranteed. The method comprises: moving targets in a current frame of image are obtained, wherein the obtained moving targets in the current frame of image are used as tracking targets; a coordinate of a barycentric coordinate of each tracking target in a next frame of image is predicted, and a distance between the coordinate of the predicted barycentric coordinate of each tracking target in the next frame of image and a barycentric coordinate of each moving target in the next frame of image is determined; for one tracking target in the current frame of image, a moving target closest to one tracking target in the current frame of image is determined as a to-be-matched target in the next frame of image according to the determined distance between the coordinate of the predicted barycentric coordinate of each tracking target in the next frame of image and the barycentric coordinate of each moving target in the next frame of image; and feature matching tracking is carried out on the tracking target and the to-be-matched target. The method is suitable for the moving target detection and tracking technical field.

The invention discloses a data query method and device, electronic equipment and a readable storage medium, and relates to the technical field of big data. According to the specific implementation scheme, the method comprises the steps of: obtaining query request parameters input by a user; analyzing the query request parameters to obtain a plurality of logic tables required by the query and fieldinformation included in each logic table; generating a plurality of inner-layer SQL statements according to the plurality of logic tables and the field information included in each logic table; splicing the plurality of inner-layer SQL statements to obtain a target SQL statement; and performing data query by utilizing the target SQL statement. According to the scheme provided by the invention, the timeliness of data query can be improved, and the requirement of quick business iteration is met.

The invention provides an inverted VLBI deep space unidirectional navigation positioning method. By the advantages of improvement of deep space distance measurement and speed measurement precision ofa deep space atomic clock as compared with an existing atomic clock, three or more ground deep space station ascending transmitting signals provide navigation positioning service for a deep space detector in a coverage range by a broadcasting mode, the deep space detector receives ascending signals of the more than three deep space stations, base line information among the more than three deep space stations is utilized fully, and on-orbit real-time self-localization is realized by unidirectional inverted VLBI angle measurement and unidirectional ascending range measurement information. The advantages of unidirectional remote distance measurement are achieved by high stability and high accuracy of the deep space atomic clocks to a maximum extent, and dependence of the deep space detector to the ground deep space stations is relieved.

The invention relates to a security method based on radio frequency identification (RFID). According to the security method, a plurality of RFID tags, a plurality of RFID read-write detectors, a security management platform and a central command platform are adopted, wherein the RFID tags are arranged on monitored terminals of a security network; the RFID read-write detectors are arranged in a security area to form a detector array so as to acquire transfer information of the monitored terminals; the security management platform communicates with the RFID read-write detectors and checks whether the information detected by the RFID read-write detectors is legal or not according to information stored in a database; and the central command platform is used for summarizing, backuping, managing and analyzing information of each control point in the security method. Compared with the traditional camera security method, the security method has the advantages that: personnel dependence is low, immediate response speed is high, alarming and evidence recording are timely and reliably performed, and security is high.

The invention discloses a multi-frequency resistivity measuring device, and relates to the technical field of resistivity logging. Multiple frequencies can be simultaneously measured under the condition of ensuring sufficient measurement precision of signals. According to the multi-frequency resistivity measuring device, a multi-frequency mixed waveform is subjected to sampling fitting treatment,digital DPSP operation is combined to separate waveforms of the various frequency signals, the single frequency signal is subjected to quadrature separation treatment, the phase difference and the amplitude ratio of each frequency signal are obtained, and finally resistivity information detected at different frequencies of a stratum is obtained. According to the multi-frequency resistivity measuring device, the measurement efficiency and the measurement timeliness of the device are improved in a mode of multi-frequency simultaneous measurement, and meanwhile, the power consumption of the system can be reduced to a certain extent.

The invention provides a method and device for monitoring the business volume of a payment system in real time, and the method comprises the steps: receiving the transaction data of the payment system, and determining the increment data; performing distributed processing on the incremental data; and monitoring the incremental data subjected to distributed processing in real time, and determining the incremental data with newly-added records and successful transactions. According to the invention, the incremental data with newly added records and successful transactions are monitored in real time, so that the problem of poor timeliness of the existing business monitoring system can be solved, the data processing response time is shortened, the average processing delay is reduced, and the requirements of concurrent business processing and real-time statistics of the production system can be met.

The invention provides an efficient mass public opinion data information cluster matching method. The method comprises the following steps of: deploying Flume onto each public opinion acquisition server and acquiring public opinion data information crawled from the internet through the Flume; storing the public opinion data information acquired by the Flume into a Kafka message queue; consuming public opinion data in real time from the Kafka and matching the public opinion data information and enterprise information in real time by utilizing a deployed Spark cluster; and displaying the successfully matched associated data information onto each web system. According to the method, a cluster matching framework is built to solve the conditions that the timeliness is bad and the matching speed is low; and test results show that both the matching speed and the timeliness are greatly improved after the cluster matching manner is adopted.

The invention discloses an intelligent ventilation monitoring system suitable for the construction period of a tunnel and underground engineering, and a method. The intelligent ventilation monitoringsystem comprises a collecting module and a controller. The collecting module is configured to receive monitoring data of the air environment nearby a ventilator and transmit the data to the controller. The controller is configured to judge whether the dust and harmful gas allowed value is met or not according to the on-site monitoring data and conduct corresponding pre-warning, the rotating speedof the ventilator is adjusted according to pre-warning information, accordingly, the ventilation quantity in the tunnel is changed, and real-time ventilation control is achieved. The full-automatic real-time feedback monitoring system is adopted, real-time dynamic ventilation in the tunnel, an underground engineering tunnel and the undergrounding engineering can be achieved, efficient environmentprotection is achieved, and the difficulties that the timeliness of suction-type ventilation of the tunnel and the underground engineering is poor, and the air supply volume is fixed are solved.

The embodiment of the invention discloses a method for detecting Cr 6+ by using a high-quantum-yield nitrogen-doped carbon quantum dot fluorescent probe, which is characterized by comprising the following steps: preparing a high-quantum-yield nitrogen-doped carbon quantum dot fluorescent probe detection reagent; mixing a to-be-detected sample and the Hg 2+ masking agent, adding the mixture into the detection reagent, mixing, and measuring the fluorescence intensity change of the mixed solution by using a fluorescence intensity detector; when the fluorescence intensity of the mixed solution is weakened, determining that the sample to be detected contains Cr 6+, or when the fluorescence intensity of the mixed solution does not change, determining that the sample to be detected does not contain Cr 6+. According to the present invention, the qualitative or quantitative detection of Cr 6+ is realized through naked eye observation or by virtue of a fluorospectro photometer, so that the method has the advantages of high specificity, high sensitivity, rapidness, simplicity in operation, low cost and the like.

The invention provides a differential relay protection communication device based on 5G communication, a system and a method. The device comprises an electrical information acquisition module, a 5G communication module and a trip logic processing module, wherein the electrical information acquisition module is used for acquiring operation information of electrical equipment in real time; the 5G communication module is used for receiving the operation information of the electrical equipment that is collected by the electrical information acquisition module and realizing the operation information intercommunication between different electrical equipment; and the trip logic processing module is used for receiving the operation information of the electrical equipment that is transmitted by the5G communication module, judging the operation state of the power grid, and making a normal operation or switch trip command. According to the communication device, the system and the method, no conventional propagation medium is required, the cost of the device is greatly reduced, and the transmission rate is greatly improved, thus realizing real multi-node cooperative transmission and fault judgment and improving the reliability and stability of communication.

The invention discloses a road traffic safety evaluation method based on a conflict extreme value, and relates to a road traffic safety evaluation method. The objective of the invention is to solve the problem of poor timeliness of a safety evaluation method for traffic conflicts at the present stage. The method comprises the following steps: 1, selecting a traffic conflict index, and obtaining traffic conflict data according to the selected traffic conflict index; 2, constructing a block extreme value distribution model according to the traffic conflict data obtained in the step 1; the methodcomprises the following specific steps: 1, carrying out regional division on obtained traffic conflict data; 2, obtaining extreme value data of the zone group; 2, constructing a block extreme value distribution model; 2, estimating the block extreme value distribution model by adopting a maximum likelihood method to obtain parameters in the block extreme value distribution model; and 3, evaluating the traffic safety level based on the conflict extreme value distribution model in the step 2. The method is applied to the field of traffic safety evaluation.

The invention discloses a nonlinear laser fluorescence spectrum real-time identification method, which comprises the following steps: learning a sample spectrum, testing sample spectral classification, extracting ROI in an interested region, preprocessing the spectrum, extracting the fluorescence spectrum characteristics by discrete curvelet transform, forming feature vectors, constructing i classes of support vector machines, and distinguishing the test results by classes. The invention adopts the classification method of the support vector machines, and does not depend on large sample training, the input vector is the low-frequency coefficient part after curvelet decomposition, the number of training samples is small, the number of the support vectors is greatly reduced, so the operation time is shortened and the method has instantaneity. The second-generation curvelet transform adopted by the invention is based on a new support frame, and can provide high-efficient, stable and nearly-optimal sparse representation for the curve function with strangeness. Compared with the traditional method, the method is more effective and has higher identification rate. The invention can identify the spectrum samples with data format and image format, and has better adaptability.

The invention discloses a power system spinning reserve capacity optimization method considering supply and demand double-side flexible resources. The method comprises the steps of (1) establishing aprice type demand response model and an excitation type demand response model based on uncertainty of a price elastic coefficient; (2) integrating the price type demand response model and the excitation type demand response model into a day-ahead stage and a real-time stage respectively; and (3) constructing a day-ahead and real-time two-stage robust optimization model by taking the minimum systemoperation cost and the minimum standby capacity calling cost as target functions, and then solving the two-stage robust optimization model to realize capacity optimization. According to the method, the source-load double-end flexible resources are fully mined and comprehensively utilized and scheduled, so that the flexibility of the large-scale clean energy grid-connected system is greatly improved, the absorption capacity of the system clean energy is effectively improved, and a very good solution is provided for participation of demand response in system operation scheduling operation.

The invention discloses a novel tracing method and device based on an electromagnetic field. The device comprises an electromagnetic transmitting system, a transmitting antenna, electrodes and a receiver. The electromagnetic transmitting system is arranged at an upstream point and comprises a transmitter and a generator, and the transmitter comprises a capacitor; the transmitting antenna adopts aspecially designed multi-frequency transmitting antenna, and penetrates through karst collapse or a drill hole to go deep into a detected aquifer; the electrodes and the receiver are arranged at a downstream point, the electrodes comprise two pairs of electrodes, the two pairs of electrodes are orthogonally distributed, and the electrodes are located in a cofferdam formed by downstream water; andthe receiver collects electric signals in the electrodes. Based on good conductivity of water, an electromagnetic signal can be used as a tracer agent to realize rapid observation, and compared with atraditional tracer agent, the electromagnetic signal is extremely high in propagation speed in water, stable in property and free of pollution, can be applied to underground water tracer detection, and solves the problems of poor timeliness and environmental pollution of the tracer agent in the traditional tracer detection.

The invention discloses a photovoltaic power station electroluminescence intelligent diagnosis system and method based on an unmanned aerial vehicle, and the system comprises a photovoltaic power station, an airborne electroluminescence image collection end, an image receiving and processing server, a data processing and storage alarm terminal, and a mobile alarm terminal. The airborne electroluminescence image collection end is mounted on the unmanned aerial vehicle, images of the working space of the photovoltaic power station are collected in real time, and the collected images are transmitted to the image receiving and processing server; the image receiving and processing server analyzes and processes the received image, judges whether the component has a fault or not, and transmits a judgment result to the data processing and storing alarm terminal and the mobile alarm terminal; and the data processing and storing alarm terminal stores the received picture, displays the position of the picture and the problem information of the extracted component on a computer page in an alarm manner, and transmits the alarm information displayed by the computer to the mobile alarm terminal, and the mobile alarm terminal alarms and prompts the information to operation and maintenance detection personnel in time.

The invention relates to a batch data synchronization method and system, electronic equipment and a computer readable medium. The method comprises the steps that a big data distributed stream data stream engine stores to-be-synchronized data to a first preset position of a distributed file system; a heterogeneous data source offline synchronization framework stores historical data of the to-be-synchronized data to a second preset position of the distributed file system; a data warehouse tool stores the to-be-synchronized data in a partitioned manner according to a preset rule; and batch merging is performed on the to-be-synchronized data stored in the partitions within a preset time to realize batch synchronization of the to-be-synchronized data. According to the batch data synchronization method and system, the electronic equipment and the computer readable medium, the problem of poor timeliness of batch data synchronization in the prior art can be solved, batch data synchronization can be quickly and accurately carried out, and the network burden cannot be increased.

The invention belongs to the technical field of computers and relates to a real-time monitoring method and system for an intelligent manufacturing workshop. The method comprises the steps that: monitoring video information and infrared monitoring information are obtained, wherein the monitoring video information is continuously collected video information, and the infrared monitoring information is intermittently collected infrared images; environmental visibility is analyzed according to the monitoring video information to obtain a visibility analysis result; an environment temperature abnormal condition is analyzed according to the infrared monitoring information to obtain a temperature analysis result; and whether alarm information is to be sent is judged according to the visibility analysis result and the temperature analysis result. According to the real-time monitoring method for the intelligent manufacturing workshop provided by the embodiment of the invention, the collected information is analyzed in real time, so that whether visibility abnormity and temperature abnormity exist in the current workshop or not can be judged in real time, whether a dangerous case exists in the workshop or not can be judged according to the abnormal conditions, and quick response can be made, the problem of poor timeliness of manual analysis is solved.

The invention discloses an equipment linkage method and device in the Internet of Things, a storage medium and an electronic device, and the method comprises the steps: determining a first linkage path corresponding to a target linkage event according to the network topology information of a target Internet of Things, wherein the target linkage event is a linkage event between a first target device and a second target device in the target Internet of Things, and the first linkage path is the shortest path from the first target device to the second target device; and generating linkage information for each piece of first equipment in the multiple pieces of first equipment on the first linkage path, wherein the linkage information of each piece of first equipment is used for indicating linkage operation executed by each piece of first equipment when the target linkage event is triggered, and multiple pieces of first equipment comprise first target equipment and second target equipment; and sending the linkage information of each first device to each first device so as to control each first device to execute a corresponding linkage operation when the target linkage event is triggered.

The invention discloses an information real-time pushing method and device, a computing device and a medium, and the method comprises the steps: obtaining real-time behavior data, a historical user feature parameter set, a historical user label and user historical behavior data matched with a target user when the fact that the target user generates a real-time behavior matched with a target business is detected; determining at least one new user label corresponding to the user according to the real-time behavior data, the historical user characteristic parameter set of the target user, the historical user label and the user historical behavior data; and pushing information matched with the new user label to the target user in real time according to the mapping relationship between the newuser label and the information. According to the embodiment of the invention, the problem of poor timeliness caused by offline data processing in the prior art is solved, the real-time performance andaccuracy of an information recommendation scheme are ensured, a user can enjoy discounts brought by the information recommendation scheme online in real time, the research and development investmentof an enterprise is reduced, and the competitiveness of the enterprise is improved.

The invention provides a road condition determination method and device, a medium and electronic equipment. The method comprises the following steps: determining a shunting path of a traffic marking road section and at least two associated road sections, and obtaining vehicle driving information; determining at least two pieces of marking road condition information according to the vehicle drivinginformation, and dividing the vehicle driving information according to the at least two pieces of marking road condition information to obtain at least two road condition sets; calculating the vehicle driving information according to the at least two road condition sets to obtain at least two sets of driving information; determining at least two pieces of associated road condition information andat least two pieces of associated driving information of the at least two associated road sections; and according to the at least two pieces of associated road condition information, the at least twopieces of associated driving information, the at least two pieces of marking road condition information and the at least two pieces of set driving information, determining shunting road condition information of the shunting path in the at least two pieces of marking road condition information. The calculation accuracy of the road condition information is improved, and the service experience of using the electronic map by a user is improved.

The invention relates to the communication technical field, and provides a risk monitoring method comprising the following steps: configuring business rules under different business scenes, employingan offline algorithm to calculate a rule threshold corresponding to each business rule, and forming online business rules; if a user account violates at least one online business rule under the business scene when executing the business scene, obtaining online business rules that are violated by the user account till the present time; obtaining score information corresponding to all online business rules that are violated by the user account, and calculating the total sum of the score information, thus obtaining the accumulated risk score of the user account; if the accumulated risk score is greater than the first threshold, executing verification operation for the user account. The method and device can solve the problems that existing risk monitoring business rules are lack of scientificbasis, and poor in risk monitoring timeliness and efficiency.

The invention provides a cross-border remittance information processing method and device based on a blockchain alliance chain, and relates to the field of block chain technologies and finance, and the method comprises the steps: selecting a cross-border remittance route according to a remittance request; carrying out validity verification on a remittance account and a collection account in the cross-border remittance route and the remittance request; if the verification is passed, storing the current remittance state, the remittance request and the cross-border remittance route into a block chain account book of a local block chain node; generating a cross-border remittance application according to the remittance request and the cross-border remittance route, and sending the cross-border remittance application to an alliance chain management node; and when the information fed back by the alliance chain management node is that the application is passed, sending a remittance instruction to the alliance chain management node. According to the method, the problems that traditional cross-border remittance is poor in timeliness, opaque in remittance and cost, and incapable of ensuring whether collection is finished or not are solved, and the overall service quality and customer satisfaction of the industry are effectively improved.

The invention discloses a method for agile monitoring of the water quality of live pig breeding sewage. The method comprises the following steps: sampling sewage in a live pig breeding sewage treatment process, selecting a modeling sample and an inspection sample, and quantitatively detecting each water quality index in the samples; constructing a corresponding regression model based on the threeindexes with significant correlation; screening out a regression model with a good fitting effect; verifying the accuracy of the regression model based on the data of the inspection sample and a measured value; carrying out comprehensive modeling on the three indexes of NH3-N, EC and TN; and finally, obtaining an optimal regression model for NH3-N and TN. Aiming at TP and COD, respectively establishing linear regression models; and based on the obtained regression model, determining an agile pig breeding sewage monitoring scheme. The method solves the problems of large water quality index measurement difficulty coefficient, high cost and low efficiency in the traditional livestock and poultry breeding sewage quality monitoring scheme, and effectively improves the monitoring efficiency.