47results about How to "Reliable basis for judgment" patented technology

The invention relates to a road edge detection system and method based on laser radar and fan-shaped space segmentation. The method comprises the steps of 1, a laser radar scanning the surrounding environment of a vehicle to obtain reflection point cloud information and convert the reflection point cloud information into a locally constructed three-dimensional coordinate system; 2, preprocessing the point cloud data, and separating and extracting ground data in each frame of point cloud; 3, dividing the space in the coordinate system into fan-shaped structural bodies according to the data characteristics of the laser radar and the point cloud, and identifying the road extension direction according to the ground information and the fan-shaped structural bodies; 4, extracting road edge candidate points in the point cloud by using a parallel road edge retrieval algorithm; 5, clustering the road edge candidate points, and eliminating an interference point set according to fan-shaped spatial features; and 6, performing B spline curve fitting on the finally determined road edge point to obtain a road edge detection result. The method is high in adaptability, capable of adapting to roadsof various shapes and reducing the influence of obstacles, high in precision and reduction degree, high in reliability and low in error rate.

The invention discloses a method for remotely and dynamically monitoring electric energy metering load. The method comprises the following steps of: (1) modularly encapsulating data according to the difference of operation frequency and monitoring authority to build a header, a CRC and a split key which correspond to the data; (2) transmitting an encapsulated data packet to a background processor authorized by an allocation level through the internet, wherein the background processor splits the modular data packet according to the authority of an operation key, the verification of the data CRC and the verification of the split key, and performs the CRC verification and the fault tolerance processing on the split data; (3) building a matched data processing mode to correspond to the data packet one-to-one according to the operation frequency; and (4) processing, backing up and reporting abnormal data in a way of combining an arbitrating mechanism with self-healing capacity. By the method for remotely and dynamically monitoring the electric energy metering load, the management and the use of the electric energy metering load are more accurate, quicker and more effective, and the accuracy and the justification of electricity user checking are guaranteed.

The invention discloses a method for sedimentary microfacies logging recognition based on a support vector machine and relates to the technical field of exploration and development. The novel method which is based on an SVM (support vector machine) algorithm and applies logging materials to conduct sedimentary microfacies quantitative recognition is characterized in that each sedimentary microfacies can be represented by a group of logging curve characteristic parameters, samples of a microfacies type are mapped into a higher-dimensional space through nonlinear conversion, and optimal classification faces between each microfacies are sought in the high-dimensional characteristic space; and finally, a decision making function is constructed, so that microfacies types of unknown samples can be determined, and the sedimentary microfacies judgment can be achieved. According to the invention, an SEA technology (sedimentary microfacies automatic recognition method) is used for sedimentary microfacies automatic recognition of a clastic rock reservoir, and judgment accuracy is high; and a reliable judgment basis is provided for optimal selection of beneficial target reservoirs in oil-gas exploration and development, so exploration cost is reduced, and values of application and promotion are high.

The invention relates to a temperature prediction method of high voltage cable joints. The method comprises the steps of (1) adopting environmental temperature, environmental humidity, a current ratio of a cover layer and a cable core, and previous temperature values of a cable joint as an inputted training samples, and building a joint temperature prediction model based on a least squares support vector machine; (2) adopting particle swarm optimization to dynamically seek an optimum from a regularization parameter C and a standardized parameter sigma of the least squares support vector machine, and forming a joint temperature prediction model based on the particle swarm optimization and the least squares support vector machine; (3) conducting temperature prediction according to the joint temperature prediction model based on the particle swarm optimization and the least squares support vector machine, the real-time environmental temperature, the environmental humidity, the current ratio of the cover layer and the cable core, and the previous temperature values of the cable joint, and obtaining a predicted value of the high voltage cable temperature. Compared with the existing technology, the temperature prediction method of high voltage cable joints has the advantages of high flexibility, high prediction accuracy, pretty fast training speed and the like.

The invention discloses an outdoor advertisement collection method and device based on a block chain, and the method comprises the steps: enabling an advertisement collection platform, a law enforcement department and a judicial expertise mechanism to be member nodes in the block chain, and enabling the member nodes to form an alliance chain together, wherein the advertisement collection platformnode is configured to collect an outdoor advertisement sample and construct advertisement sample evidence obtaining data; uploading the evidence obtaining data to a block chain; pushing advertisementdata containing illegal content to a law enforcement department, wherein the law enforcement department node is configured to receive the advertisement data containing the violation content and process the advertisement data according to the violation degree, a judicial certification mechanism node is configured to carry out judicial certification when an objection is generated on the advertisement content in the law enforcement process. Trusted storage of outdoor advertisement collection data is achieved, and a reliable judgment basis is provided for law enforcement departments and judicial experts.

The invention provides a method for monitoring an aircraft in an airport terminal area, which comprises the following steps of: transforming the longitude and latitude of a horizontal position of a target aircraft into coordinates of a monitoring coordinate plane by using spherical azimuthal projection, judging whether the aircraft tends to fly towards noninvasive area, and if the aircraft tends to fly towards the noninvasive area, giving an alarm. By the method, the calculation accuracy is improved, the positioning accuracy of a descended airplane is improved, the capacity of closely spaced parallel runways forming pentagon in continuously approaching aircrafts is increased, a reliable judgment basis is provided for controllers to timely know parallel approaching positions, the load of the controllers is greatly reduced, and errors, omissions and forgetting of the controllers are effectively avoided.

The invention relates to a method for detecting cleaness of furnace gas in a continuous annealing furnace. The method comprises the following steps: the gas in the annealing furnace is extracted by a sampling metering pump and is enabled to pass through a collector according to a given flow; various particulate matters in the gas are intercepted in the collector; the volume of the collected furnace gas can be automatically measured by the sampling metering pump, and temperature and pressure signals, which are measured by an instrument at the front of the sampling metering pump, are transmitted to a computer for processing by a controller so that the volume unit of the furnace gas is converted as standard cubic meter; the total weight of suspended particulate matters in a sampling furnace region is obtained according to the weight difference of pollutant gross collector filter cores before and after sampling, so that the concentration of the particulate matters in the furnace gas can be solved; and the pollution degree in the furnace is evaluated through detection of the cleaness and total gross of the furnace gas in various furnace regions, and whether noxious substances in various regions are abnormal can be judged through detection and analysis of furnace gas constituents in the various furnace regions. By using the method, the pollutants in the furnace can be correctly and timely detected, and reference basis is provided for improving product quality, reasonably arranging furnace shut down for overhauling and cleaning the furnace.

The invention provides an engine overspeed protection control method and device and a vehicle, and relates to the technical field of engine overspeed protection. The engine overspeed protection control method is applied to an engine overspeed protection system and comprises the following steps that the rotating speed and the rotating speed acceleration of an engine are obtained; when the rotating speed is within a preset rotating speed range and the rotating speed acceleration is greater than or equal to a second rotating speed acceleration threshold value, detection data of a first position sensor at the position of an accelerator pedal is obtained; and according to the detection data, whether overspeed protection control is carried out on the engine overspeed protection system or not is determined. According to the engine overspeed protection control method, the reason that the rotating speed acceleration of the engine is higher can be judged to a certain extent according to the detection data of the first position sensor at the accelerator pedal position, and overspeed of the engine can be predicted to a certain extent, so that overspeed protection is carried out on the engine.

The invention relates to a detection system for detecting oil content in gas in a continuous annealing furnace on line. The system consists of a main analysis loop and a branch analysis loop, wherein the main analysis loop comprises a sampled gas cooler, a gas distributor, an automatic switching valve, a manual switching valve, a check valve, a water collector, a large particle filter, a pressure detection instrument, a pressure signal conversion and display instrument, a gas circulating pump and a feedback gas drier, forms a close loop together with the annealing furnace and is used for collecting and feeding back gas; and the branch analysis loop comprises a chromatographic analyzer, a manual switching valve, a disperser and a waste discharge separator and is mainly used for the sampling and the waste gas exhaust of the chromatographic analyzer. By using the detection system, the gas pollution conditions in the furnace and the oil leakage conditions of equipment in the furnace can be mastered timely and accurately so as to provide possibility for observing the change of pollutants in the furnace in a production process transition process.

The invention relates to a system for realizing the automatic and continuous cleanness detection of multiple sample points. The structure of the system comprises a furnace gas sampling main pipe, a furnace gas collector branch pipe and a metering and gas returning main pipe, wherein the input end of the furnace gas sampling main pipe is communicated with the inside of a furnace chamber of an annealing furnace through a pipe, the output end of the furnace gas sampling main pipe is connected with the input end of a furnace gas pollutant continuous and automatic collection branch pipe and the output end of a nitrogen blowing circuit by through pipes; the furnace gas collector branch pipe is provided with two groups of parallelly connected collection branch pipes of which the output ends are connected with the input end of the metering and gas returning main pipe through pipes respectively; the output end of the metering and gas returning main pipe is communicated with the inside of the furnace chamber of the annealing furnace; and the nitrogen blowing pipe is communicated with a nitrogen station and is connected with the pipes of the gas distributor (3) and automatic switching valve (8) of the furnace gas sampling main pipe in parallel through two manner switching valves (4) connected with the nitrogen blowing pipe. The system can detect the pollutants in the furnace accurately and provides a basis for improving product quality and reasonably arranging furnace stop for overhaul and cleaning.

The invention discloses a continuous annealing furnace gas cleanliness detecting system, which mainly comprises a furnace gas sampling master pipe, a gas pollutant collector branch and a metering and gas return master pipe, wherein the input end of the furnace gas sampling master pipe is communicated with the interior of an annealing furnace chamber through a pipeline, and the output end of the furnace gas sampling master pipe is connected with the input end of the gas pollutant gross collector branch through a pipeline and connected with the output end of a nitrogen blowing loop; the output end of the gas pollutant collector branch is connected with the input end of the metering and gas return master pipe through a pipeline; and the input end of the nitrogen blowing loop is communicated with a nitrogen station through a pipeline, the nitrogen blowing loop is connected in parallel on the pipelines of a gas distributor and an automatic switching valve of the furnace gas sampling master pipe through two manual switching valves connected in series with the nitrogen blowing loop, and the output end of the metering and gas return master pipe is communicated with the interior of the annealing furnace chamber through a pipeline. The system can accurately detect pollutants in the furnace in time, and provides basis for improving product quality, reasonably arranging shutdown maintenance and clearing the furnace.

The invention provides a method for judging the service life of a filter core via a water quality detector. The method comprises the following steps: step S1, acquiring at least one group of collecteddata, wherein the group of collected data at least comprises a TOC value, a COD value and a UV254 value collected by the water quality detector after filtering, and a total flow value and a flow velocity value collected by a flow meter after filtering; and step S2, determining the service life of the filter core based on the TOC value, the COD value, the UV254 value, the total flow value and theflow velocity value. The invention also provides a system corresponding to the method. The invention has the advantages that the actual service life of the filter core can be accurately determined byjudging a combination of multiple values consisting of the TOC value, the COD value, the UV254 value, the total flow value, the flow velocity value and a TDS value, and reliable judgment bases are provided for the replacement of the filter core.

The invention discloses a big data based dust removal equipment intelligent monitoring analysis management system. The system comprises a dust concentration detection module, a suction detection module, a suction identification and analysis module, a suction fault judgment module, a big data service platform, a decision guide repair calibration module, a dust collection amount detection module, apower equipment operation acquisition module, a power equipment fault analysis module, vibration repair dust falling equipment and a dust removal prediction alarm module. According to the invention, the fault types of the dust removal equipment can be optimized and screened, and the decision guide repair calibration module is adopted to perform bidirectional comparison calibration on the predictedand screened fault types of the dust removal equipment and the actually detected fault types, so that the fault types of reduced suction force of the dust removal equipment can be further accuratelyjudged; specific faults corresponding to the dust removal equipment are screened out, the self-checking capacity of the faults of the dust removal equipment is achieved, reliable fault type information is provided for later maintenance of technicians, and the manual fault maintenance time is shortened.

The invention relates to a travel planning system and method based on big data, and the system comprises an information input module which is used for collecting the inputted demand information; an analysis module used for generating main scenic spot schemes and alternative scenic spot schemes, calculating the predicted travel time of each scenic spot scheme and sending the main scenic spot schemes to the scheme output module; calculating the current travel time of the main scenic spot scheme and the alternative scenic spot scheme according to the real-time travel time of each scenic spot acquired by the data statistics module, comparing the estimated travel time with the current travel time, and when the current travel time of the main scenic spot scheme and the alternative scenic spot scheme meets a preset condition, sending alternative scenic spot schemes meeting preset conditions to a scheme output module; a data statistics module used for obtaining the real-time travel time of each scenic spot in the main scenic spot scheme and the alternative scenic spot scheme, and sending the real-time travel time of each scenic spot to the analysis module; and a scheme output module used for receiving and outputting the generated main scenic spot scheme or the alternative scenic spot scheme meeting the preset condition.

The invention discloses a method for judging a fire caused by electrical short circuit through arc traces. The method comprises the steps that scene investigation is carried out according to characteristics such as the working principle, the structure and the installation position of a short circuit protector, a short circuit protector matched with same circuit on the fire breakout portion is traced and looked for, and the short circuit protector is extracted; the withdrawal process of the short circuit protector is recorded, the trace characteristics of each portion of the short circuit protector are observed, it can be determined that short circuit has happened on the circuit as long as the arcing traces exist on one or more portions, and it can be determined that short circuit has not happened on the circuit if no arching trace exists on any portion. According to the method, whether electrical short circuit has caused the fire is judged by observing the trace characteristics of each portion of the short circuit protector; the method is simple, low in cost, accurate in judgment and capable of saving time, provides reliable criteria for ruling out the possibility that short circuit causes a fire, and improves judgment efficiency.

The invention discloses an NAND flash memory error rate prediction method and system. The method belongs to the field of computer storage, and comprises: obtaining M early-stage interference featuresand original bit error rates corresponding to the early-stage interference features from historical data of an NAND flash memory, and taking the early-stage interference features and the original biterror rates corresponding to the early-stage interference features as a prediction sample, thereby obtaining M prediction samples; inputting the prediction sample into a trained error rate predictionmodel, and predicting original bit error rates corresponding to the N later-period interference features, wherein the interference feature is a feature or a feature combination influencing the original bit error rate of the NAND flash memory; and the error rate prediction model is a multiple-input-multiple-output model and is used for predicting the original bit error rate corresponding to the later-stage interference feature according to the early-stage interference feature and the corresponding original bit error rate. The error rate of the NAND flash memory can be predicted, the change trend of the error rate of the NAND flash memory can be predicted, and a quantitative and reliable judgment basis is provided for data storage security.

A method for establishing a urine microRNA target gene database ratio model for diagnosing a bladder cancer comprises the following steps: collecting model data information; collecting and storing a urine sample; preparing total RNA in the sample; synthesizing a first chain cDNA sequence; executing fluorescent quantitative PCR detection, wherein the ratio (Ct 182-5p/Ct 152-3p) of miRNA detection results Ct serves as a diagnostic indicator. The urine microRNA ratio model for early screening of the bladder cancer and a kit can provide a more reliable judgment basis for early screening of the bladder cancer, and objective indexes of the ratio models of miR-182-5p and miR-152-3p is comprehensively evaluated with other early tumor screening markers, so that the diagnosis accuracy is improved, the diagnosis process is simplified, and the ratio model plays an important role in the diagnosis and treatment of the bladder cancer.

A fundus camera focusing structure comprises a motor, a bracket sleeve, a sensor, a sensor bracket and a focusing rotor. The bracket sleeve is fixedly mounted on the motor, and a driving rod of the motor is disposed in the bracket sleeve. The middle portion of the focusing rotor is provided with a central wire hole. The driving rod of the motor is a screw, and the central wire hole of the focusingrotor is mounted on the driving rod via the threaded fit. The sensor bracket is disposed in the bracket sleeve, a driving rod sleeve is arranged at the bottom, and the driving rod sleeve sleeves thedriving rod. The side wall of the driving rod sleeve is provided with a transversely penetrating rotor hole, the focusing rotor is disposed in the rotor hole, and the focusing rotor can slide relativeto the driving rod sleeve in the direction perpendicular to the driving rod in the rotor hole. The sensor is fixed at the top of the bracket sleeve. The structure can effectively prevent the lateralsway of the straight rod type focusing structure and improve the focusing accuracy and clarity.

A method for eliminating theophylline interference in immunoassay and an immunoassay kit. The method for eliminating theophylline interference in the immunoassay comprises: performing an immunoassay reaction in the presence of an anti-theophylline interfering agent, wherein the final concentration of the anti-theophylline interfering agent is 0.1 mg/mL to 100 mg/mL, and is selected from 6-mercapto At least one of the group consisting of purine, 6-mercaptoguanine, 8-azaguanine, hypoxanthine, adenine, purine, 2,6,8-trioxopurine, adenine nucleotide and adenosine kind. The method and the kit can effectively reduce the interference of theophylline on the results of immunoassays.