17results about How to "Improve judgment efficiency" patented technology

The application discloses a screen projection method, device and system, electronic equipment and a storage medium. The screen projection method comprises the following steps: receiving a broadcast signal; analyzing the broadcast signal to obtain screen projection information; judging whether to display a screen projection request prompt based on the screen projection information; if it is judged to display the screen projection request prompt, the screen projection request prompt is displayed; and in response to a confirmation operation of the user agreeing to the screen projection request prompt, a screen projection operation is performed. The application triggers the screen projection operation by the screen projection end, specifically, the broadcast signal sent by the screen projection end is received, and the screen projection operation is performed according to the screen projection information carried in the broadcast signal, so that the user does not need to search for the screen projection end on the screen projection end, the operation is convenient, the error rate of the screen projection connection is reduced, and the user experience is improved.

This invention discloses a method and system for dynamically determining the impact of construction projects on hydrological monitoring, relating to the field of hydrological monitoring technology. The specific steps are as follows: constructing an evaluation index system that couples static and dynamic indicators; assigning static weights to static indicators using the analytic hierarchy process (AHP) and dynamic weights to dynamic indicators using the entropy weight method; calculating the total weight based on the static and dynamic weights; constructing and training a machine learning model; inputting the static, dynamic, and total weight data into the trained machine learning model; and outputting the impact level; automatically matching response measures based on the impact level and trend prediction results. This invention proposes a dynamic weight correction algorithm based on project stage and hydrological conditions, applying machine learning algorithms to determine the impact level of construction projects on hydrological monitoring, achieving a closed-loop linkage from level determination to measure matching, and solving the problems of singular and disconnected evaluation in existing technologies.

The application discloses a power electronic distribution network transformer propagation model optimal adaptation method and system, and the method comprises the following steps: calculating transformer winding leakage inductance and winding resistance, and transformer excitation inductance and excitation resistance; estimating the equivalent value of each link distributed capacitance; deducing the propagation coefficient of the high-frequency transformer model and the low-frequency transformer model at any frequency under the excitation source; calculating the relative deviation amount of the corresponding propagation coefficient of the high-frequency transformer model and the low-frequency transformer model at different frequencies in the required frequency band of the simulation scene; obtaining the maximum value of the relative deviation amount of the propagation coefficient under all conditions in the required frequency band of the simulation scene; when all the maximum values of the relative deviation amount of the propagation coefficient are less than the set relative deviation limit value, the low-frequency transformer model is selected for the simulation scene, otherwise the high-frequency transformer model is selected; the application has the advantages that the optimal selection of the transformer model is performed under the consideration of the simulation efficiency and accuracy requirements.

The utility model relates to the technical field of water supply system detection equipment, in particular to a novel water supply exhaust pressure measuring device which comprises a pressure measuring meter, a quick-opening ball valve is installed at the lower end of a pressure buffer pipe, an L-shaped connecting pipe is installed at the lower end of the quick-opening ball valve, and the quick-opening ball valve is connected with a three-way connector through the L-shaped connecting pipe. A connecting pipe is installed at one end of the three-way connector, an automatic exhaust valve is installed at the upper end of the connecting pipe, a corrugated hose is installed at the other end of the three-way connector, and the end, away from the three-way connector, of the corrugated hose is connected with a multifunctional conversion connector. The multifunctional adapter is adopted, diversified use scenes and hierarchical functions of the device are enriched, the pressure measuring process is more flexible and convenient, the efficiency of on-site judgment and problem solving is greatly improved, meanwhile, the specification of the multifunctional adapter is diversified, the multifunctional adapter can be rapidly matched with water supply pipelines of different specifications, and the practicability is high. And the application range of the device is obviously expanded.

This invention relates to a method for determining soil compaction degree using balers based on real-time machine parameters. Specifically, it relates to a method for determining soil compaction degree in the agricultural field. The purpose of this invention is to address the problems of existing soil compaction degree determination methods, which rely on laboratory testing, consider only a single parameter, have low accuracy, and poor real-time performance. The process is as follows: Acquire the real-time driving speed of the tractor, the tractor's own weight, the tractor's load weight, the tractor's tire pressure, the number of tractor trips, the mass of straw collected per unit time, and the baler's straw compaction density; obtain standardized real-time driving speed of the tractor, standardized tractor's own weight, standardized tractor's load weight, standardized tractor's tire pressure, standardized number of tractor trips, standardized mass of straw collected per unit time, and standardized baler's straw compaction density; calculate the soil compaction degree using a matrix method; and classify the soil compaction degree into grades.

The application discloses a fault detection method and device, equipment, medium and program product, and relates to the technical field of fault diagnosis. The method comprises the following steps: acquiring a first voltage signal and a first current signal input to a converter, and a second voltage signal of a DC bus; determining whether a voltage variation represented by the second voltage signal is greater than a preset variation, and obtaining a first determination result; if the first determination result indicates that the voltage variation represented by the second voltage signal is not greater than the preset variation, fusing the first voltage signal and the first current signal to obtain a fused signal; and processing the fused signal to obtain a fault position of the converter. The method effectively avoids the problem that the current fault position and the voltage fault position do not correspond in the traditional detection method, and improves the efficiency and accuracy of fault position determination.

A method and device for determining reference teeth of a seven-tooth chain wheel relates to the technical field of chain wheel repair, and comprises the following steps: determining a mapping position of a symmetric center line of outer teeth of the seven-tooth chain wheel on an inner spline; one outer tooth is used as a candidate tooth, and the other outer teeth are used as judgment teeth; determining a reference line based on the symmetric center line of the candidate teeth; determining whether the mapping positions corresponding to the judgment teeth on the two sides of the reference line are consistent or not, and if yes, determining the candidate teeth as reference teeth; according to the method, the reference teeth of the seven-tooth chain wheel are judged according to the geometrical relationship that the mapping positions corresponding to the outer teeth on the two sides of the reference teeth of the seven-tooth chain wheel are consistent, whether the candidate teeth are the reference teeth or not is determined by determining whether the mapping positions corresponding to the judgment teeth on the two sides of the candidate teeth are consistent or not, the operation process is greatly simplified, and the judgment efficiency is improved.

The invention provides a tobacco leaf raw material threshing and redrying plasticity judgment method and a tobacco leaf formula module plasticity judgment method, and belongs to the field of tobacco leaf processing.The judgment method comprises the steps that preferable tobacco leaf plasticity characterization indexes are detected, and a detection result is preprocessed to obtain standardized data; determining the weight of each tobacco plasticity characterization index according to the standardized data; and calculating a comprehensive score of the tobacco leaves according to the weights, and judging the plasticity grade of the tobacco leaves according to the comprehensive score. The judgment method provides a certain reference basis for threshing and redrying tobacco leaf matching, process parameter regulation and control and the like, and is beneficial to improving the homogenization processing level of tobacco leaf raw materials. The invention further provides a method for judging the plasticity of the tobacco leaf group formula modules of the various types of tobacco leaf raw materials according to the judgment result of the threshing and redrying processing plasticity of the tobacco leaf raw materials, and the judgment method guarantees the setting accuracy of threshing and redrying processing parameters; and a technical guarantee is provided for improving uniformity and stability of threshing and redrying processing quality of the formula module.

The invention discloses a merchant inspection information processing method and device, a storage medium and electronic equipment, and relates to the field of financial science and technology, and the method comprises the steps: obtaining merchant inspection information which at least comprises an external environment image, an internal environment image and internal voice information of a merchant; predicting the type of the merchant according to the feature information in the external environment image to obtain a first type; predicting the type of the merchant according to the in-store environment image and the in-store voice information to obtain a second type; under the condition that the predicted first category is the same as the predicted second category, determining that the target category of the merchant is the first category; under the condition that the predicted first category is different from the predicted second category, determining a target category of the merchant from the first category and the second category according to the transaction flow information of the merchant; and submitting the determined target category of the merchant to an auditing system. The technical problem of low auditing efficiency caused by manual auditing of merchant inspection information in the prior art is solved.

The invention discloses a router fault detection method, which comprises the following steps of: determining an abnormal type in a fault removal request under the condition that the fault removal request of any router is detected, creating fault removal objects corresponding to the router according to the abnormal type, and sequentially executing fault removal operation of at least one of the fault removal objects. The fault type corresponding to the troubleshooting request is obtained, fault repairing operation corresponding to the fault type is adopted to carry out fault repairing on the router, the troubleshooting operation is used for obtaining routing configuration parameters of the router and determining the fault type corresponding to the troubleshooting request based on the routing configuration parameters, and different routing configuration parameters are obtained through different troubleshooting operations; therefore, different routing configuration parameters can be obtained by adopting different operations for different types of faults, the corresponding fault type is determined based on the routing configuration parameters, the situation of manual judgment is reduced, and then the efficiency and accuracy of fault judgment are improved.

The application discloses a large model protection method and related device, and relates to the field of computers, which comprises the following steps: firstly, the attack risk of a business request is determined by using a ban list, keyword matching and a pre-configured large model; then, whether the request is an attack request is determined by combining user credibility when the request is determined as a high-risk request; when the user credibility is insufficient and the request is determined as an attack request, the business request is intercepted, so that the large model built in a business system does not process the request. The application improves the determination efficiency under the premise of ensuring the determination accuracy by using the risk determination mode of ban list, keyword and large model in sequence; the misjudgment rate of attacks is further reduced by combining the user credibility, and finally, the large model security protection task with high accuracy, low misjudgment rate and high real-time performance is realized.

The application discloses a method and device for mining data relationship of a point of interest, an equipment and a medium, and relates to the technical field of geographic information. The method comprises the following steps: acquiring position information of a point of interest; determining a road loop matched with the point of interest based on the position information; the road loop is a closed loop surrounded by external roads in road network data, and there is no road chain in the internal part of the road loop to divide the road loop into two parts; the road chain is composed of one external road or connected by two or more external roads; the external road is a road located outside the point of interest; determining a search range of the point of interest based on the road loop; and mining data relationship of the point of interest based on the search range. The application has high efficiency and recall rate when performing data mining on the point of interest.

This invention relates to a UDS diagnostic service distribution method, apparatus, and service distribution device, belonging to the field of vehicle fault diagnosis technology. The UDS diagnostic service distribution method includes: obtaining the SID of a diagnostic service to be processed; determining the return value corresponding to the diagnostic service based on the first four bits of the SID; determining the mask index value corresponding to the diagnostic service based on the return value; determining the service processing function corresponding to the diagnostic service based on the mask index value and a preset mask index table; and distributing the diagnostic service to the corresponding service processing function. This invention achieves efficient and reliable UDS diagnostic service distribution with low storage resource consumption.

This invention belongs to the field of power line fault detection technology and discloses a method, system, equipment, and medium for diagnosing power distribution line faults. The method includes: acquiring initial fault signal data corresponding to the power distribution line, preprocessing the initial fault signal data, and outputting fault signal data; decomposing the fault signal data using joint decomposition technology to obtain intrinsic mode components (IMCs); introducing information mining technology to extract the distribution change feature vector of the fault signal and fusing it with the IMCs to obtain a change image; extracting local features of the change image through a convolutional neural network and combining it with a strategy function optimized by a Huffman tree for fault classification, and outputting the fault diagnosis result. This invention applies the Softmax strategy of Huffman trees, improving the efficiency and accuracy of judgment, enabling early identification and warning of fault signals in power distribution lines, and improving the efficiency of power distribution line fault diagnosis.

The embodiment of the present application provides a broadcast distribution method and an electronic device. The electronic device can replace the replaceable broadcast through the AMS, and does not cause broadcast jam. Specifically, the receiver attribute consistency of the replaceable broadcast sequence distribution queue is determined through the AMS, the broadcast is replaced in the case of consistency, thereby optimizing the distribution process of the broadcast message, avoiding storage of a large amount of redundant information, reducing the storage space occupation, improving the AMS performance, reducing the consumption of system resources, and solving the broadcast jam problem caused by the replaceable broadcast of the same action in the Android system.

The application provides a cigarette factory cut tobacco drying machine equipment fault type determination method and device, the method comprises the following steps: obtaining a first data set to be determined for fault type; obtaining a second data set from all historical sensor data features affecting the operation of the cut tobacco drying machine; using a fuzzy C-means clustering-based method, clustering the second data set L times to obtain L clustering results; using a hash table to construct an offline fault index library according to the L clustering results; and determining the fault type of the first data set according to the offline fault index library. The method provided by the application can quickly and efficiently determine the fault type of the first data set.

The present application relates to a kind of for obtaining the training method of prediction model of blood perfusion map of keloid, comprising: obtaining sample data set, sample data set is preprocessed, obtain the training data set including training set and test set, each sample is pix2pix sample, including: true gross image, true blood perfusion map to which true gross image belongs;True segmentation image of gross image;The three images of each sample are input into the four generators of the corresponding TripleGAN neural network pre-constructed in three discriminators, and the total loss information is obtained based on the output of four generators and the corresponding image in sample;Further, TripleGAN neural network is trained and tested, obtain the trained TripleGAN neural network, the generator of TripleGAN neural network that receives gross image and outputs blood perfusion map is used as the trained prediction model.The above method solves the problem that the existing scale evaluation is not accurate and the cost is high and time-consuming and laborious when using LSCI evaluation.