50results about How to "Accurate and effective analysis" patented technology

The invention discloses an experimental device and method for evaluating the plugging and unblocking effects of a plugging agent in a perforation crack. The experimental device comprises a heater, a copper sleeve, a perforation crack block, an inlet plug and an outlet plug, a pressurizing device, and a plunger device. The heater has a heating chamber, a first inlet and a second outlet, wherein thefirst inlet and the second outlet are communicated with the heating chamber respectively and are arranged at the two ends. The copper sleeve extends in a lateral direction and is installed in the heating chamber; and a second inlet and a second outlet are arranged at the two ends of the copper sleeve. The perforation crack block extends in a lateral direction and is sleeved in the copper sleeve;a perforation slot and a crack slot are formed in the perforation crack block successively in a communicated manner in a lateral direction and are reduced gradually in a direction from the first inletto the first outlet, wherein the length of the perforation slot is less than that of the crack slot in a lateral direction.

The invention discloses a linear induction motor drive characteristic analysis equivalent circuit and an analysis method. A Maxwell equation is combined with a winding function method, and a primary winding function, a secondary fundamental wave winding function and a secondary end effect wave winding function of a linear induction motor are obtained in terms of distribution of an actual primary winding of the linear induction motor. According to a winding function basic theory, equivalent inductance and the motion potential coefficient of the linear induction motor are analyzed and calculated, a voltage and flux linkage equation of the linear induction motor is built, and further, a novel equivalent circuit model of the linear induction motor is built. By means of the novel equivalent circuit mode, steady-mode and dynamic characteristics of the linear induction motor are analyzed. On the basis of the distribution situation of actual windings of the motor, influences of a transverse edge effect, a longitudinal edge effect and a primary semi-filled groove of the linear inductance motor on motor inductance and secondary resistance are reasonably considered, and drive characteristics of the linear induction motor are accurately and effectively analyzed.

The invention discloses a log management method and system of a memory system. The method comprises steps as follows: log information generated in the memory system is acquired in real time; the log information is analyzed, and the priority of each log in the log information is acquired; when the memory capacity of historical log information in the memory system exceeds the preset threshold value, historical logs are covered sequentially according to the low-to-high sequence of the priority of the historical logs. When a large amount of log information is covered with the provided log management method, the historical logs are covered sequentially according to the low-to-high sequence of the priority of the historical logs with a step-by-step coverage strategy, the most valuable log information is reserved, loss of important information because of log coverage is avoided, the logs are effectively managed, the stability, the reliability and the performance of the memory system can be accurately and effectively analyzed on the basis of log data, and the memory performance cannot be affected.

The invention discloses a health monitoring system and method for a prefabricated reinforcement sleeve connecting piece. The method comprises the following steps: arranging a piezoelectric ceramic sensor on the outer side of a reinforcement sleeve body, and respectively inserting a three-way piezoelectric ceramic sensor at two ends of embedded reinforcements and inserted reinforcements which are fixedly connected through the reinforcement sleeve body; taking any two of the sensors as a group of monitoring rings, generating an excitation signal by utilizing a signal function generator by virtueof the signal function generator and a signal acquisition module connected with the monitoring rings, generating stress waves in the reinforcement sleeve, acquiring electric signals generated by thesensors by utilizing a high-frequency signal acquisition system, calculating and analyzing the health state of the reinforcement sleeve connecting piece according to signal energy changes by utilizinga time reversal signal analysis method, and performing nondestructive monitoring on the prefabricated reinforcement sleeve connecting piece. Therefore, the concrete grouting compactness can be monitored in real time during construction, and slippage and the like of the reinforcements and concrete in the serving process can also be monitored in real time.

The invention discloses a one-batch multi-piece management mode product tracking method and a photovoltaic production system. Key points of the technical scheme comprise establishing a virtual identification number of a current product, and associating the virtual identification number of the current product with a production batch number of the product; based on the virtual identification numberand the production batch number of the current product, forming device information of a current device where the current product exists in an automatic production line and position information of thecurrent product in the current device into a data record and saving the data record in a background data sheet; obtaining transferring data of the current device where the current product exists in the automatic production line or front and rear devices, calling the corresponding data record from the background data sheet according to the virtual identification number of the current product in order to add the transferring data to the data record, and saving the data record in the background data sheet. According to the technical scheme, the product production locus can be recorded and trackedaccurately, and production process information of each product can be traced.

The invention discloses a transformer oil sludge ageing composition detection method which comprises the following steps of step 1, mixing aged oil sludge with a solvent, heating a mixture, and performing separation to obtain clear liquid and filter residues; step 2, detecting elements and contents thereof in the clear liquid in the step 1, and detecting elements, contents thereof, iron oxide, a crystalline compound, fiber substances and X wax in the filter residues in the step 1; and step 3, comparing the elements in the clear liquid and the elements in the filter residues obtained in the step 2 to elements in new transformer oil or aviation kerosene, and judging a source of an oil sludge ageing product. By judging the elements in the clear liquid and the filter residues in the transformer oil sludge as well as the iron oxide, the crystalline compound, the fiber substances and the X wax in the filter residues, the transformer oil sludge ageing composition detection method accurately and rapidly diagnose the oil sludge ageing composition and the source thereof comprehensively and meets the requirement for rapidly diagnosing the oil sludge ageing product.

The invention relates to a product data pushing method and device based on resource allocation, a computer device and a storage medium. The method comprises the following steps of receiving a productdata acquisition request sent by a service terminal, wherein the product data acquisition request carries user portrait data; obtaining a preset product prediction model, and performing multi-dimensional analysis on the user portrait data through the product prediction model to obtain preference values of the user portrait data corresponding to a plurality of pieces of product data; sorting the plurality of product data according to the preference values of the plurality of product data to obtain a preset number of preferred product data; and pushing the preferred product data to a service terminal. By adopting the method, the pushing accuracy of the product data can be effectively improved so as to improve the pushing efficiency of the product data.

The invention provides a pre-warning method and system of train sliding-plug door breakdown and relates to the technical field of vehicle traffic. The method comprises the steps that warning information sent by a sliding-plug door after traveling on a plurality of routings is obtained; the warning information is selected; the speed information of a train is obtained; according to the speed information, the stop track of the train is determined; and according to the selected warning information of each routing and the stop track, overhaul information of the sliding-plug door is output. According to the pre-warning method and system of train sliding-plug door breakdown, the working condition of opening and closing of the sliding-plug door is accurately and effectively analyzed, the warning information of the sliding-plug door is subjected to sorting treatment and statistical analysis, and the problems that the warning information is numerous and diverse, misinformation exists, and maintenance cannot be knew are solved.

The invention relates to the technical field of analyzing and treating heart diseases on the basis of electrocardiograms, and particularly provides a method for recording and analyzing an electrocardiogram of arrhythmia. The method can provide a half-minute waveform superimposition diagram, and the development conditions of ventricle ectopia (VE) and supraventricular ectopia (SVE) can be seen clearly from the superimposition diagram and are differed from displayed colors and sounds of waveforms, operators can call and check waveform records before and after a certain ectopic beat at any time and can modify the waveform records; moreover, heart function can also be judged through sound, thereby analyzing the symptom of a patient with arrhythmia more accurately and effectively and providing guidance for treatment.

The invention relates to an orchard modeling analysis system and method based on unmanned aerial vehicle positioning shooting. The system comprises an unmanned aerial vehicle, a fruit marking module and a virtual modeling module; the fruit marking module is used for obtaining the position of the unmanned aerial vehicle from a positioning module, determining the position of a fruit image on an image shot by a camera module, and marking fruits on the image according to the position of the unmanned aerial vehicle and the position of the fruit image, wherein The virtual modeling module is used forcalculating an unmanned aerial vehicle position range and a fruit image position range in which a target fruit can be shot; and according to the calculated unmanned aerial vehicle position range, thefruit image position range and the unmanned aerial vehicle position and fruit image position marked by the target fruit, calling a plurality of images of the target fruit shot by the camera module, and establishing a three-dimensional model of the target fruit and/or the plant where the target fruit is located according to the plurality of images of the target fruit. According to the method, thefruits in the orchard can be conveniently marked, and the health conditions of the fruits and plants where the fruits are located can be modeled and analyzed.

The invention discloses an intelligent terminal warehouse-in and warehouse-out management method and a management system thereof, which can improve management efficiency. The management method comprises the following steps: acquiring data information of intelligent terminals to be warehoused; analyzing and arranging the obtained data information to obtain a detection report; storing a detection report in a first database and marking a data state as non-warehousing; after a pre-warehousing instruction is obtained, inputting warehousing information corresponding to the intelligent terminals to be warehoused and storing the warehousing information in a second database, obtaining a warehousing instruction, and marking the data state as a warehoused state; after the pre-warehousing instructionis obtained, inputting warehousing information corresponding to the intelligent terminals to be warehoused and storing the warehousing information in a third database, and obtaining a warehousing instruction, and marking the data state as a warehouse-out state. Through the management method, the intelligent terminals for input and output are managed, so that the management efficiency can be effectively improved, and the input and output operations of the intelligent terminals are more convenient, simpler and more targeted for input and output.

The invention relates to a receipt data checking and processing method for exception monitoring, and the method comprises the steps: obtaining a plurality of to-be-detected receipt data, and distributing corresponding processing threads to the to-be-detected receipt data; inputting to-be-tested receipt data into the trained information extraction model, and outputting to-be-tested product information, to-be-tested project information and decision information; determining corresponding product attribute values and project attribute values according to the product application range table and theproject application range table; determining the to-be-tested product information of which the decision information is not matched with the product attribute value as an abnormal product, and determining the to-be-tested project information of which the decision information is not matched with the product attribute value as an abnormal project; obtaining an abnormal product numerical value and anabnormal item numerical value of the to-be-tested receipt data; and if the abnormal product numerical value and the abnormal item numerical value exceed preset thresholds, marking the corresponding to-be-tested data as abnormal receipt data, generating corresponding abnormal prompt information, and sending the abnormal prompt information to the verification terminal. By adopting the method, abnormal receipt data can be accurately and effectively identified and checked.

The invention relates to an evidence material analysis processing method and device based on intelligent decision, computer equipment and a storage medium. The method comprises: acquiring arbitrationapplication materials and evidence materials uploaded by a terminal; acquiring a preset character recognition model, and performing character recognition on the arbitration application material and the evidence material through the character recognition model to obtain corresponding recognition result data; extracting arbitration application information and evidence data corresponding to a presetfield from the identification result data; obtaining a preset evidence analysis model, and analyzing the arbitration application information and the evidence data through the evidence analysis model to obtain a corresponding analysis result; and determining that the evidence material is valid and accepting the evidence material when the analysis result shows that the evidence audit is passed. By adopting the method, the arbitration application material and the evidence material can be accurately and effectively subjected to data analysis, so that the auditing efficiency of the arbitration material and the arbitration case processing efficiency are effectively improved.

Embodiments of the invention disclose a method and an apparatus for determining a portrait contour in an image. The method comprises the steps of horizontally moving a preset detection window from one side to the other side of the image, and recording color values of regions passed by a color detection region on the image; and in the process of moving the detection window, if a difference value between the color value of the first region and a first mean value exceeds a first preset range, stopping moving the detection window, judging whether a difference value between the first mean value and a second mean value exceeds a second preset range or not, if the second preset range is exceeded, judging that a difference value between the color value of each unit length in the second region and the first mean value exceeds the number of second preset ranges, and if a preset ratio is not exceeded, determining the first region as a part of the portrait contour in the image. In the way of collecting the color values by horizontal movement from one side to the other side of the image, the change of the color values, in the same row, of the image can be analyzed more accurately and effectively.

The invention discloses a service robot instruction analysis method based on key verb feature full-density transmission. The method comprises the following steps: working in a known application environment, constructing a database of various service instruction texts under various candidate services of a service robot, and preprocessing the service instruction texts; dividing the database into a training set and a verification set; performing word segmentation on each service instruction text by adopting a Steak text analysis tool to obtain context features of the key verbs; building a full-density bidirectional long-short-term memory network model, training model parameters by using the training set, and performing hyper-parameter debugging by using the verification set; and processing and extracting a to-be-tested text instruction to obtain the type of the candidate service and instruction semantics under the candidate service. According to the method, a service instruction analysistask is converted into two sub-tasks of frame classification and frame filling, and core elements in a service instruction text with redundant information are accurately captured and extracted and used for assisting a robot in understanding complex instruction intentions.

The invention provides an aircraft control method, device and equipment, and relates to the automation control technology, and the method comprises the steps: obtaining the current flight information of an aircraft through a sensor; analyzing the current flight information by using a preset action analysis model to obtain an action control instruction corresponding to the current flight information; wherein the action analysis model is obtained by training a neural network model according to a reward function, and the reward function comprises a speed penalty term, a safety distance penalty term and a course angle penalty term; and controlling the aircraft to fly according to the action control instruction. According to the method provided by the invention, the action analysis model can be trained through the speed penalty term, the safety distance penalty term and the course angle penalty term included in the reward function, so that the aircraft can accurately and effectively analyze the current flight information according to the action analysis model; the technical problem that the accuracy of the feasible flight trajectory planned by the aircraft according to the flight information is low is solved.

The invention relates to a method for detecting targeted membrane protein methylation as an imprinting gene syndrome marker, which comprises the following steps: extracting whole blood free DNA (deoxyribonucleic acid), treating the whole blood free DNA by bisulfite after the whole blood free DNA is detected to be qualified, and using the whole blood free DNA as an amplification template; designing and synthesizing a tag primer of a targeted membrane protein gene; the method comprises the following steps: mixing an amplification template with a tag primer, carrying out PCR amplification, connecting an index sequencing joint special for an illumina sequencing platform, and constructing amplicon libraries of different tags; quantificationally mixing the amplicon libraries with different tags, and sequencing on a machine to obtain a sequencing result; the obtained sequencing result is analyzed through bioinformatics, and the methylation mutation condition in the target area is obtained; and detecting the site difference of each amplicon by adopting a t test method, counting the average methylation level of each amplicon, and carrying out differential analysis on each contrast group. The methylation sites of the imprinting gene SLC22A18 are screened by adopting an amplicon methylation sequencing method, and the method has the advantages of high accuracy, high flux, short period and low cost.