52 results about "Selection rule" patented technology

The invention provides a shield intelligent auxiliary type selection system and method based on a large language model. The model selection system comprises a data input module, a rule knowledge base module, a large model reasoning module and a result generation module. The integrated decision-making system integrating a rule knowledge base, a deep learning model and expert system logic is constructed for the practical problems of complicated geological conditions, multiple rule constraints, high expert dependency and the like in shield construction, and the system combines a structured model selection rule and historical case data, and has the advantages of intelligence, standardization, self-learning, high efficiency and the like. The problems of low efficiency, high subjectivity, insufficient intelligent degree and the like of the existing shield tunneling machine model selection depending on artificial experience and partial standardized guide are solved, and the transformation of shield construction management from artificial experience to intelligent decision can be promoted.

The invention provides an unmanned aerial vehicle sharing intelligent management method and system based on artificial intelligence, and relates to the technical field of intelligent control, and the method comprises the steps: constructing a space virtual geometric shape through a coordinate mapping algorithm; extracting a geometric center coordinate of the space virtual geometric shape, and calculating an offset between the geometric center coordinate and a communication coverage centroid as a first correction factor; analyzing signal coverage included angle distribution among the three position points, and generating a second correction factor in combination with a path loss model; calculating a multipath effect compensation coefficient as a third correction factor according to the signal attenuation gradient on the virtual shape boundary; fusing the first correction factor, the second correction factor and the third correction factor into a comprehensive correction value; and according to the comprehensive correction value, evaluating a communication interruption risk through a path planning neural network, and generating a multi-path transmission scheme containing a redundant relay node selection rule and a dynamic fragmentation recombination strategy. According to the invention, the communication reliability is improved.

The invention relates to the technical field of industrial scheduling, and discloses a flexible job shop self-organizing scheduling-oriented multi-target dual hyper-heuristic method, which comprises the following steps of: generating a process selection rule and an interval selection rule by utilizing a genetic programming rule, and generating a rule set; based on a deep reinforcement learning method, a dynamic decision strategy is constructed in combination with a rule set, and multi-step action sequence optimization is carried out when self-organizing scheduling is triggered; and generating an instance through random combination of parameter indexes of a predetermined dynamic event, and calculating a performance index according to the generated instance to realize feasibility verification. Through a dynamic collaborative optimization mechanism of self-organizing scheduling, an autonomous decision closed loop can be realized under multiple disturbances such as equipment failure, processing fluctuation, new order insertion and the like, and the self-healing capability, response speed and anti-interference toughness of a production system in a dynamic environment are remarkably improved; and an intelligent decision-making scheme with an autonomous evolution capability is provided for a complex scheduling problem in an intelligent manufacturing scene.

The application relates to the technical field of power station dispatching, in particular to a distributed power station response strategy generation method and system, which comprises the following steps: constructing a plurality of state groups, and configuring corresponding classification rules of the state groups and corresponding rotation rules between the state groups; the state groups comprise a dispatching group, a preparation group and an idle group; obtaining site information of each access site in each platform, and matching the site information with the classification rules to put each site into a corresponding state group; obtaining real-time site information changes of each site, and adjusting the state group of each site based on the rotation rules; obtaining demand information corresponding to dispatching demand and / or replacement demand, judging the priority of the site in the preparation group, and electing the site meeting the demand information and the priority requirement as a response site based on a site selection rule and transferring the response site into the dispatching group. The application has the effect of improving the response capability of the distributed energy storage aggregation platform to the dispatching demand.

An embodiment of a method implemented by a wireless transmit-receive unit (WTRU) includes: receiving information related to a secondary mobile network (SMN) and including an indication of SMN selection rules from a primary mobile network (PMN) registered by the WTRU; selecting an SMN in response to the trigger and an SMN selection rule; registering to the selected SMN; and requesting establishment of a multi-access protocol data unit (MA-PDU) session having a DualSteer functionality and having one access branch on the registered SMN and another access branch on the registered PMN.

The application discloses a kind of methods, devices and equipment and storage medium for the synchronization of anti-replay counter of controller area network.The method comprises: constructing data block set based on the high part of anti-replay counter, including multiple data blocks with the same length in the data block set;Based on the CAN communication identifier of the controller area network CAN message to be sent and the low part of the anti-replay counter, use the preset data block selection rule to select one or more data blocks from the data block set as the coded data block;Encoding the coded data block to obtain the encoding fragment;The length of the encoding fragment is the same as the length of each data block;Fill the encoding fragment into the idle bit in the CAN message to be sent, and send the filled CAN message to the receiving end.The method sends data using idle bit, which can reduce bus burden and improve resource utilization.

The application provides a very low frequency atomic magnetometer environment interference suppression method based on polarization selection reception, wherein a precession main magnetic field B e and -B e are respectively applied by a main magnetic field coil in z direction and -z direction in front and back two regions of a gas chamber e and -B e regions are detected by using detection laser in x direction; external very low frequency signals are detected by interaction with atoms polarized in z direction to make the atoms produce precession signals in xOy plane, so that the signals are detected by light detection; when the external signals are linear polarization, according to the selection rule of angular momentum conservation, the precession signals of atoms in B e and -B e regions are offset, so that the system does not respond to linear polarization signals; for circular polarization signals, only atoms in B e or -B e region have precession signals, so that the detection of circular polarization signals is realized. The technical scheme of the application is applied to solve the technical problem of environmental magnetic noise interference of a very low frequency atomic magnetometer in an actual application scene in the prior art.

The present invention provides a parametric data modeling design method and system for a bus duct production process, the method comprising establishing a bus duct product library according to the product categories of the bus duct; constructing a parametric model for each product unit in the product library; establishing a selection rule library based on the parametric models of each product unit under different product categories; using the selection rule library to screen, filter, and perform matching calculations on the bus duct product list to find a unique matching parametric model; substituting various parameters in the bus duct product list into the parametric model in the form of variable values for calculation to obtain the bill of materials and process parameters of the bus duct product unit; and generating a two-dimensional engineering drawing of a self-made part based on the bill of materials and process parameters in combination with the corresponding drawing model. The present invention unlocks the automated design capabilities of bus duct products of different categories, specifications, and quantities through parametric assignment, significantly reducing design time and errors, promoting a smooth production process, and improving overall operational efficiency.

The application discloses a kind of ship design multi-criteria decision-making method selection method and system. By generalizing the characteristics of general MCDM problem and defining the characteristics of common MCDM method, and establishing the matching mapping relationship between the characteristics of general MCDM problem in problem domain and the characteristics of common MCDM method in method domain, a generalized MCDM method preliminary selection rule is generated, and a preliminary applicable MCDM method / set under a specific decision situation is obtained. On this basis, a generalized MCDM method applicability criterion and the corresponding evaluation model are established. Following the principle of combining qualitative and quantitative analysis, the actual application effect of the selected MCDM method is compared comprehensively, and the optimal MCDM method under the specific decision situation is selected accordingly. The two-step ship design MCDM method selection strategy and system of preliminary selection and optimization can effectively ensure the applicability of the preliminary selected MCDM method and the superiority of the optimized MCDM method.

This invention proposes a method and system for diagnosing DAS wellbore flow stability based on the square coherence coefficient distribution, belonging to the field of fluid acoustics technology. The method includes: acquiring raw time-series acoustic signals related to wellbore flow using DAS to obtain multi-channel raw time-series DAS data; preprocessing the data and segmenting it according to sliding time windows to obtain multiple time window samples; determining at least one reference channel according to a preset reference channel selection rule; calculating the square coherence coefficient between the reference channel and channels at various spatial locations within the target well section, and constructing a time-space-frequency distribution; extracting high-coherence regions and one or more stability features within the target frequency band; constructing a flow stability index based on the features and performing graded flow stability diagnosis; this invention also discloses a system and storage medium for executing the method, applicable to wellbore or pipeline flow stability diagnosis and abnormal section identification scenarios.

A composite control strategy of a Vienna power factor correction circuit comprises an active-disturbance-rejection voltage control outer loop and an optimized switch sequence model prediction current control inner loop, the active-disturbance-rejection voltage control outer loop designs LTD to arrange a transition process for an output voltage reference value square value to realize rapid tracking, and designs LESO to observe output and total disturbance in real time. An LESF is designed to realize zero static error adjustment through a linear error feedback rate, a switching sequence model is optimized to predict a current control inner ring, redundant vector preprocessing is adopted, a candidate redundant switching sequence is reduced by half according to a redundant vector selection rule, the calculated amount is reduced, a modulation signal is sent to an SVPWM modulation unit, a PWM signal is generated, a switching tube of a main power circuit is driven, and the switching tube of the main power circuit is controlled. And closed-loop control is realized.

The invention discloses a continuous data identifier allocation method, which relates to the technical field of data identifier allocation, and comprises the following steps: S1, determining a preset data identifier bit number, a reserved data identifier, a preset data identifier coding rule, a preset data identifier allocation rule and a preset data identifier bit selection rule; s2, constructing a data identifier management module according to a preset data identifier bit number, a coding rule of the preset data identifier bit number, a preset data identifier distribution rule and a preset data identifier bit selection rule; s3, acquiring a data identifier distribution request of the user; according to the method and the device, the data identification bits with the relevance are given to the data with the relevance, when certain data needs to be called, the data associated with the called data can be called only according to the data identification bits, the range of the called data is expanded, the range of subsequent data analysis is further expanded, and the data analysis efficiency is improved. According to the method, the data analysis precision is indirectly improved, in addition, the data calling speed is increased, and the data calling time is shortened.

A system and method for a multi-stage approach for creating topic models is presented. The method includes applying a first stage topic model to textual data, wherein the first stage topic model is trained to discover a first plurality of topics and distributions of words in each topic of the first plurality of topics from the textual data; generating at least one seeded word for a subset of topics of the first plurality of topics, wherein the at least one seeded word is determined based on a plurality of selection rules and the distributions of words in the subset of topics discovered in the first stage topic model; and creating a second stage topic model by feeding the generated at least one seeded word to direct identification of the subset of topics of the first plurality of topics.

The invention discloses a non-blind area island detection method and system for a new energy networking system, and the method comprises the following steps: building a coherence dual-frequency point optimization mechanism, and formulating a dual-frequency point selection rule based on an impedance angle change rate consistency criterion; enhanced injection of double-frequency composite disturbance is realized; through symmetrical component decoupling and spectral analysis, constructing a system equivalent impedance model in grid-connected and island states, and completing impedance state feature extraction; designing an island characteristic quantity calculation model for double-frequency impedance ratio calculation, calculating a double-frequency harmonic impedance module value, constructing a double-frequency impedance ratio criterion factor with a common-mode rejection characteristic, and eliminating an inherent error of a measurement system through a ratio relation; a judgment criterion of double-frequency impedance ratio change in grid-connected and island states is formulated, an action threshold is determined through grid-connected state double-frequency impedance ratio statistical characteristics based on an operation condition self-adaptive dynamic threshold setting method, a multi-cycle confirmed island detection judgment process is established, and island detection of the new energy networking system is realized.

The present invention discloses a Byzantine fault-tolerant consensus method and system for supply chain traceability, including master node selection rules, dynamic node entry and exit network processes, and optimized protocol mechanisms. The master node selection rules are based on the consistent hashing algorithm and the hash value of the previous block and combined with the average load concept to achieve random and fair selection of master nodes; the dynamic node entry and exit network process adds the concepts of network configuration table and configuration change transaction to achieve the dynamic nature of the network; the optimized protocol mechanism is used to improve the existing protocol mechanism of the PBFT algorithm, mainly including refining the view replacement protocol, proposing a new state synchronization protocol, and optimizing the consistency protocol under no abnormal conditions. Compared with the original PBFT algorithm, the Byzantine fault-tolerant consensus method provided by the present invention has the advantages of random selection of master nodes, support for dynamic networks, low communication complexity, etc., and is particularly suitable for supply chain traceability scenarios with complex members, strong openness, and large node scale.

The application discloses a method, a terminal and a network side device for transmitting UCI on a PUSCH, and is used for solving the problem of how to select one PUSCH from multiple PUSCHs with different priorities to carry UCI on a PUCCH when the multiple PUSCHs with different priorities and the PUCCH exist time domain overlap. It is determined that a PUCCH carrying UCI and multiple PUSCHs with different physical layer priorities exist time domain resource overlap; one PUSCH is selected from the multiple PUSCHs according to a predetermined selection rule, or a PUSCH with the same physical layer priority as the PUCCH is selected from the multiple PUSCHs; and the UCI is transmitted through the selected PUSCH.

Embodiments of the present specification provide a link generation method and device, wherein the link generation method comprises calling a third-party platform, recording calling data generated by calling the third-party platform to a calling log, and preprocessing calling data of the calling log; performing feature labeling on the preprocessed calling data to obtain initial features of the calling data, and selecting target features from the initial features of the calling data based on a preset selection rule; and determining a calling link of the third-party platform based on the initial features and the target features.

The embodiment of the application discloses a fracturing layer position selection method and device and a computer storage medium, and belongs to the technical field of oil and gas exploitation. The method comprises the following steps: acquiring a fracturing construction curve of a target fracturing well, geological factors of a position where the target fracturing well is located and construction data of the target fracturing well; determining an influence of the geological factors on a fracturing effect of the target fracturing well according to the fracturing construction curve, the construction data and the geological factors; and selecting a fracturing layer position in the target fracturing well according to a layer selection rule according to the influence of the geological factors on the fracturing effect of the target fracturing well. The embodiment of the application determines the influences of different geological factors on the fracturing effect, thereby more reasonably selecting the fracturing layer position, improving the difference of fracture expansion in the same fracturing layer section, making the fracturing reconstruction effect better, maximizing the reservoir exploitation, and further improving the yield.

The invention relates to the technical field of power station scheduling, in particular to a distributed power station response strategy generation method and system, and the method comprises the steps: constructing a plurality of state groups, and configuring classification rules corresponding to the state groups and rotation rules corresponding to the state groups, the state groups including a scheduling group, a preparation group and an idle group; obtaining site information of each access site in each platform, and matching the site information with the classification rule to put each site into a corresponding state group; obtaining site information change of each site in real time, and adjusting a state group where each site is located based on a rotation rule; and obtaining demand information corresponding to the scheduling demand and / or the replacement demand, judging the priority of the stations in the preparation group, electing the stations meeting the demand information and the priority requirement as response stations based on the station selection rule, and transferring the response stations into the scheduling group. The method has the effect of improving the response capability to the scheduling demand in the distributed energy storage aggregation platform.

The invention discloses a block processing method, a block chain system and a readable storage medium, and belongs to the technical field of computers. The block processing method in the embodiment of the invention comprises the following steps: after a new block is generated at an accounting node, determining the total verification times required by the new block before being chained; according to the total verification times and a preset selection rule, verification nodes are selected for the new blocks in sequence, and the new blocks are verified through the selected verification nodes; and when the number of times of verification of the new block reaches the total number of times of verification and verification results of the new block are all passed, performing uplink operation on the new block. Therefore, all nodes participating in bookkeeping do not need to verify the new block, so that the block output speed of the block chain is accelerated.

The invention discloses a color image encryption method, and relates to the technical field of image encryption. Comprising the following steps: reading color images according to three channels, and combining the color images into a first two-dimensional matrix; generating a plurality of encrypted chaotic sequences according to the hash value of the color image; carrying out multiple iterations on the expanded chaotic game algorithm by taking the first encrypted chaotic sequence as a selection rule to obtain a scrambling matrix; rearranging pixels in the first two-dimensional matrix to obtain a second two-dimensional matrix; performing dynamic DNA coding on the second two-dimensional matrix to obtain a first pseudo DNA sequence; setting four base points of the expanded chaos game algorithm as four basic groups and carrying out iteration to obtain a second pseudo DNA sequence; taking the fourth encrypted chaotic sequence as a mutation rule of a second pseudo DNA sequence to obtain a third two-dimensional matrix; and converting the third two-dimensional matrix into a fourth two-dimensional matrix to obtain a ciphertext image. According to the invention, the encryption efficiency of the color image can be improved, and the encryption security is enhanced.

The invention relates to a method, particularly a computer-implemented method for determining a fatigue value of a person, the method comprising the steps of:i) displaying of:a) a first group (1) of symbols and a second group (2) of symbols,b) a selection rule (3) associating each of the symbols of the first group (1) of symbols to one symbol of the second group (2) of symbols,ii) highlighting one symbol (11) of the first group (1) of symbols,iii) receiving a user input from the person selecting one symbol (12) of the second group (2) of symbols,iv) determining a truth value based on the selected symbol (12) of the second group (2) of symbols, wherein the truth value assumes a true value if the selected symbol (12) is selected in accordance with the selection rule (3) and wherein the truth value takes on a false value if not, wherein the highlighted symbol (11) of the first group (1) of symbols is highlighted for a predetermined time based on a statistical response time of the person, and wherein if the user input is not received within the predetermined time in step iv), the method is set forth with step v) having the truth value set to the false value, or the method is set forth with step vi),v) storing the truth value on a non-transitory memory device,vi) changing the selection rule (3), such that each of the symbols of the first group (1) of symbols is associated anew to one symbol of the second group (2) of symbols,vii) changing the highlighted symbol (11) of the first group (1) of symbols,viii) repeating steps iii) to vii) at least once andix) based on at least some of the stored truth values, determining a fatigue value of the person.

The application discloses a kind of product intelligent selection matching method and system based on order demand, it is related to industrial product intelligent selection technical field.The method includes: constructing product classification and selection rule base, defining parameterization selection rule;Establish product coding system and weight configuration, configure weight coefficient for each parameter, and configure common degree score based on historical selection frequency;Receive order demand, extract working condition parameters, locate product classification and load rule;Based on the algorithm of fusion parameter weight and common degree score, calculate candidate product matching degree score;According to score, output candidate product list in order.The system includes rule base management engine, weight configuration module, intelligent matching engine and recommended output module.The application changes passive condition screening into active quantitative recommendation, and integrates workflow approval and self-optimization closed loop based on historical data, significantly reduces the selection error rate, improves selection and approval efficiency.

The present application relates to the technical field of open-pit mine blasting, in particular to a quick layout method for perforation position of open-pit mine blasting, which is characterized by the following steps: constructing a simple polygon through boundary point sequencing and legality verification for irregular boundary areas; extracting the minimum rotating outer rectangle of the blasting area based on the convex hull algorithm to adaptively determine the layout direction of the hole network; constructing the long and short axis system according to the hole spacing and row spacing within the minimum rotating outer rectangle, and generating candidate hole positions by using the staggered point selection rule based on the axis number and the point number parity; finally, screening the effective hole positions within the boundary by the ray method, and outputting the geographic coordinate results by using the coordinate projection conversion module. The present application can effectively process irregular boundaries, adaptively determine the hole network direction, improve the uniformity of hole position distribution and the calculation efficiency, and output high-precision coordinates that can be directly used for drilling navigation, thereby significantly reducing the cost of manual correction.

The invention discloses an anomaly detection method and device. The method comprises the steps of obtaining at least one index related to a target industrial system and a sample index data set corresponding to the at least one index; extracting at least one index feature corresponding to the at least one index from the sample index data set, and under the condition that the at least one index feature meets a first condition, performing dimension reduction on the at least one index feature to obtain at least one fusion feature; and selecting at least one feature from the at least one index feature and the at least one fusion feature according to a preset selection rule, and performing anomaly detection on the target industrial system according to the at least one feature.

An example storage unit (10-1) stores examples including an utterance sentence, a response sentence, and situation information. A selection rule storage unit (10-3) stores a selection rule including a dialogue state, available situation information, and a dialogue state of a transition destination. An utterance reception unit (12) receives a user utterance uttered. A dialogue state acquisition unit (13) acquires a current dialogue state. An example selection unit (14) selects a selection example in which the situation information corresponds to situation information available in the current dialogue state and the utterance sentence corresponds to the user utterance, from the examples, by using the selection rule. A dialogue state update unit (15) updates the current dialogue state to the dialogue state of the transition destination included in the selection rule. An utterance presentation unit (16) presents a system utterance based on a response sentence included in the selection example.

The application belongs to the technical field of firmware upgrading, and relates to a firmware upgrading method and device, an upper computer and a storage medium. The state of each lower computer is sensed in real time by the upper computer, and an idle lower computer is dynamically selected based on a device selection rule to perform an upgrading operation, so that in the firmware upgrading process of a target lower computer, the idle time of the upper computer is fully utilized, the upgrading task is staggered and distributed to other lower computers, and parallel and alternate upgrading operations among multiple devices are realized. In addition, by receiving the upgrading feedback instructions returned by each lower computer and updating the device selection rule accordingly, the upper computer can flexibly schedule the upgrading sequence, improving the scheduling efficiency and response flexibility of the upgrading process. At the same time, through the continuous iteration of the upgrading cycle process, it is ensured that each lower computer can receive the next round of upgrading data at the appropriate time, significantly improving the OTA upgrading efficiency of multiple MCU devices and the system resource utilization.

The application belongs to the technical field of filter optimization, and discloses an EMI filter optimization method and system based on noise source impedance, which comprises the following steps: measuring noise source impedance corresponding to common mode and differential mode of a transformer and original noise, judging insertion loss demand based on the original noise, and determining a frequency point of interest by using the insertion loss demand; determining a capacitance value of a safety capacitor based on a capacitance value determination rule, analyzing an inductance value required by the frequency point of interest under a topology cluster by using an impedance characteristic value of the safety capacitor after the impedance characteristic value of the safety capacitor is determined according to the capacitance value, and determining a common mode optimal topology; selecting a magnetic core based on a magnetic core selection rule, determining a total differential mode capacitance and a number of turns required by an inductance corresponding to the frequency point of interest according to the magnetic core information, and selecting a differential mode optimal topology by using the total differential mode capacitance; and determining a filter optimization scheme according to the common mode optimal topology, the differential mode optimal topology and the impedance characteristic value. The application realizes the functions of quantitative and accurate optimal topology and parameter optimization design of the filter.

The invention discloses a processing path determination method, processing equipment, a processing system, a medium and a product, and the method comprises the steps: firstly obtaining a to-be-processed image, extracting a plurality of to-be-processed line segments from the to-be-processed image, storing the plurality of to-be-processed line segments in a first list, then selecting one to-be-processed line segment from the first list, and carrying out the processing of the to-be-processed line segment; storing the selected to-be-processed line segments in a second list and removing the selected to-be-processed line segments from the first list, and then selecting one to-be-processed line segment from the first list in sequence and circularly according to a selection rule that the to-be-processed line segment with the shortest distance to the selected to-be-processed line segment is used as the next to-be-processed line segment, and storing the selected to-be-processed line segment in a second list and removing the selected to-be-processed line segment from the first list until the first list is empty, and determining a corresponding processing path according to the second list. Thus, a short machining path can be constructed between the to-be-machined line segments, so that when machining is conducted according to the machining path, the moving distance of the machining head can be shortened, and the machining efficiency is improved.

This invention relates to the field of medical data processing technology, and more particularly to a method and system for imputing missing data in the classification of pancreatic cystic lesions. When imputing missing data in the dataset using an improved chain equation multiple imputation method, this invention selects a suitable model from a model library containing linear models, multinomial regression models, and gradient boosting tree models according to dynamic model selection rules, based on the characteristics of the variable to be imputed. Dynamic weights are then assigned based on the model's expected contribution. Furthermore, the candidate model set is redefined and model weights are redistributed in each iteration, allowing the iteration process to gradually approach the true value of the missing value, significantly improving the statistical fidelity and distribution accuracy of the imputed value.