20results about How to "Facilitate decision-making" patented technology

This invention belongs to the field of artificial intelligence technology, specifically disclosing an intelligent rule conflict detection method, system, and program product. By transforming the traditionally tedious and time-consuming manual rule review into intelligent rule conflict detection, it greatly simplifies the verification process for business personnel in rule design and significantly improves the efficiency of rule review. It can comprehensively and deeply analyze the rule system, automatically identifying logical errors, overlaps, and contradictions that are difficult for the human eye to detect, effectively reducing the risk of rule defects and potential financial losses caused by human negligence. It deeply embeds artificial intelligence technology into the business operation process of rule configuration, ensuring the logical validity of rules once they are created, and promoting the upgrade of enterprise rule management from reliance on manual experience to intelligent automatic detection. Furthermore, it can intuitively display potential problems and conflicts between rules, making the entire rule verification process clearer and easier for users to understand and make decisions.

This application provides a method for predicting the wear state of steel-based ceramic wear-resistant components, relating to the field of material life assessment technology. The method includes the following steps: emitting excitation eddy currents containing a first frequency and a second frequency into a steel substrate, and receiving the response signal modulated by the state of the steel substrate and the ceramic-steel interface; processing the response signals corresponding to the first and second frequencies respectively, extracting the first phase change of the first reference signal corresponding to the initial health state of the component relative to the first frequency, and the second phase change of the second reference signal corresponding to the second frequency; calculating the difference between the first and second phase changes to characterize the change in thermal conductivity state of the ceramic-steel interface; obtaining the real-time operating temperature of the wear-resistant component, and based on the real-time operating temperature and the difference, assessing the current state level of the ceramic-steel interface, and predicting the remaining safe service time of the ceramic wear-resistant layer by combining the trend of the difference over time.

The utility model discloses a large-scale hoisting machinery station foundation settlement monitoring system, which comprises static force level gauges, a liquid storage tank, a data acquisition instrument and a computer, the static force level gauges are continuously arranged in a foundation treatment area at equal height, the adjacent static force level gauges are sequentially connected through a cable, a liquid hose and a gas hose, and the data acquisition instrument is connected with the computer. Each static leveling instrument is matched with the position of a roadbed box at the upper part of the foundation treatment area and corresponds to the middle part of the roadbed box; a foundation pier is arranged outside the foundation treatment area; a static force level gauge is independently arranged on the foundation pier, the static force level gauge is connected with a cable, a liquid hose and a gas hose which extend out of the foundation treatment area, the cable is connected with a data acquisition instrument, the liquid hose is connected with a liquid storage tank on the foundation pier, and the tail end of the gas hose is communicated with the external atmosphere. The utility model aims to provide a monitoring system which does not need manual measurement and indoor calculation, can realize automatic acquisition of multi-point settlement of a foundation, and can calculate differential settlement of associated points.

The present application relates to the technical field of multi-sensor system state estimation, and particularly relates to a kind of cluster multi-sensor network robust state estimation method and system resisting compound interference. Including the following steps: constructing the cluster multi-sensor network comprising multiple estimators and multiple sensors, using encryption algorithm to encrypt sensor measurement data and generate authentication tag, calculate sensor attack strength based on the hamming distance of authentication tag, each estimator based on maximum correlation entropy criterion, using the measurement data of trusted sensor in cluster and sensor attack strength to carry out local state update, obtain posterior state estimation;Each estimator exchanges posterior state estimation with neighbor estimator based on information consistency algorithm, and realizes the consistent fusion state estimation of inter-cluster state estimation through iterative communication.The present application guarantees the confidentiality and integrity of data transmission by integrating lightweight AES-CTR encryption and GMAC authentication mechanism.

The application provides a carbon emission tracing method and device for power grid line loss and a storage medium, the method comprising the following steps: collecting power grid operation parameters and power source carbon emission parameters in real time by using sensors arranged in smart meters, deployed power grid line monitoring sensors, transformer online monitoring sensors and flue gas emission sensors, and uploading the collected power grid operation parameters and power source carbon emission parameters to a cloud platform for preprocessing; constructing a line loss carbon emission accounting model and a carbon flow tracking model, and performing real-time tracing of line loss carbon emission based on the line loss carbon emission accounting model and the carbon flow tracking model by using the preprocessed power grid operation parameters and power source carbon emission parameters; based on the tracing result, displaying the proportion of line loss carbon emission and the distribution of regional carbon emission in different time periods, and identifying high-carbon lines and / or blocks, and rendering and displaying in a GIS map. The application performs real-time tracing based on a dynamic carbon emission comprehensive factor, and ensures the real-time performance of carbon emission monitoring.

The embodiment of the invention provides a double-end drop point combination optimal selection method for a network-to-network direct-current long-distance power transmission channel and related equipment, and belongs to the technical field of power system planning. The method comprises the following steps: performing medium and long term operation simulation by taking a power grid partition as a coarse-grained node to obtain a power profit and loss time sequence of each region; three morphological characteristic matching degree quantitative indexes, namely a same-direction time period ratio index, a change rate following index and a change rate complementation index, are proposed and calculated, and are used for quantitatively evaluating the matching degree of the power profit and loss at the two ends in the aspects of direction diversity, change trend synchronism and variable quantity coordination; in combination with a normalized Euclidean distance index used for evaluating the proximity degree of electric power profit and loss orders of magnitude at two ends, a set of two-stage screening and comprehensive sorting algorithm is constructed: first, preliminary screening is performed through a direction dissimilarity and an order of magnitude proximity threshold, and then priority sorting is performed on remaining combinations according to a form coordination index. The problems that an existing optimization method is complex in calculation and poor in interpretability are effectively solved.

The invention discloses a method for estimating the capacity of an energy storage battery of a household intelligent power distribution system. The capacity configuration size of the energy storage battery is determined by a battery use demand mode of a user. According to the invention, three basic modes of a new energy electric power priority mode, a valley electricity use permission mode and a peak electricity use permission mode are divided and designed, and the method starts from the expectation (longest continuous power supply time t2) of a user for continuous guarantee of power supply and the basic facts of whether to allow normal use of valley electricity or peak electricity; the minimum discharge depth problem and the emergency power supply problem are also considered, the energy storage battery capacity is designed in different modes, seven capacity lower limit calculation methods are accumulated, and a user can reasonably decide the capacity specification of the energy storage battery according to own requirements.

The utility model provides a water level detection device, including fixed tube, fixed sleeve, floating body and mark post, fixed tube side wall is fixedly connected with the connecting tube that is communicated with fixed tube, fixed tube is fixed through fixed sleeve, the floating body is provided in the fixed tube in the sliding way, mark post is fixed on floating body and extends out fixed tube, and the mark post is fixed on the fixed tube and extends out of the fixed tube. And scales are marked on the marker post. The fixing sleeve is used for fixing the fixing pipe on a wall or a supporting frame through the self-tapping screw, the lower end of the fixing pipe is submerged below the water surface, the water body enters the fixing pipe from the connecting pipe of the fixing pipe, the floating body and the marker post are arranged in the fixing pipe, and the floating body ascends and descends along with the water body and displays ascending and descending of the water surface through the scales on the marker post. And instant and visual reading of the water level change is realized.

This application provides a routing, routing path, and multicast routing path decision-making method and electronic device. The routing decision-making method includes acquiring first information of a source node satellite and second information of a destination node satellite in a routing path decision-making task; determining a satellite to be decided upon, and designating neighboring node satellites of the satellite to be decided upon as candidate routing node satellites; acquiring the real-time traffic load of the candidate routing node satellites and the predicted traffic load within a preset future time step; and, based on the real-time traffic load, the predicted traffic load, the first information, and the second information, determining the next routing node satellite from the candidate routing node satellites using a routing decision-making model pre-constructed based on a Markov decision process. The routing, routing path, and multicast routing path decision-making method and electronic device of this application can determine both real-time performance and accuracy, thereby effectively improving data transmission efficiency.

The invention relates to an aviation search and rescue system load cooperative intelligent management and control system and method, and belongs to the technical field of aviation detection. The search load is used for acquiring target information of a search area and providing real-time position and attitude information; the interface equipment is used for matching the data of each search load and a control interface to realize receiving, conversion and sending of the data; and the display control equipment is used for receiving the search data of each search load and generating target identification information, realizing real-time management and control on each load, and issuing a control command according to a search and rescue task process. When a search rescue task is executed, depending on the established intelligent decision model library, the working modes of the search loads can be intelligently controlled in an automatic / manual control mode, target information is obtained, cross control over the different search loads is achieved according to the target information, and cooperative intelligent control over the loads is achieved when search rescue is carried out in a general scene.

The invention relates to the technical field of application of artificial intelligence in assisted reproduction technology, and discloses an assisted reproduction multi-node clinical decision-making method based on machine learning. The method comprises the following steps: collecting sample data, obtaining sample features, and carrying out conversion and interpolation on the sample features; performing predictive variable screening on the sample features by using a Spearman correlation coefficient; dividing the data of the complete sample into a training set, a test set and a verification set according to a sample proportion of 8: 1: 1, taking a predicted variable obtained by screening as an independent variable in the training set, and taking accumulated live birth within 2 years after single egg taking as a dependent variable; respectively constructing prediction models in different decisions of four stages of a controlled ovarian stimulation scheme, a gonadotropin initiation amount and the like, and correcting to obtain prediction values; and carrying out hyper-parameter adjustment by using the test set, and comparing live birth outcomes of the crowds which accord with and do not accord with the recommendation by using the verification set. According to the method, corresponding cumulative live yield prediction can be provided for various feasible schemes, and a single optimal path is not recommended.

The utility model relates to a feeding trolley technical field discloses an intelligent feeding trolley for pig farm, including base, feed storage box, the feed storage box is fixedly connected on the base, the support rod is fixedly connected on the base, and the support rod is fixedly connected with the top plate on one end away from the base, be equipped with the chute on the top plate, install the adjusting mechanism for adjusting the angle of power generation assembly on the chute, the adjusting mechanism includes the threaded rod, in the utility model, through adopting the power mode that the battery and solar panel power generation combine, improved energy utilization efficiency, prolonged the endurance time of feeding trolley, reduced the operation cost, meet the requirement of energy saving and environmental protection, simultaneously through the rotation of threaded rod drive screw block removal, screw block removal drive driving link rod rotation, driving link rod rotation drive the angle adjustment of solar panel on mounting plate, and then can adjust the angle of solar panel according to the demand of power generation.

The application provides a kind of medium voltage distribution network target network frame multi-stage transition planning method considering complex interconnection, first, the topological structure of actual medium voltage distribution network is abstracted and simplified, the interconnection distance between feeder lines is determined by Dijkstra shortest path method on this basis, and the interconnection candidate library matrix is obtained by further screening of interconnection distance threshold, second, considering the requirement of total length of feeder transfer in actual engineering, the interconnection safety distance is introduced, and the feasible interconnection in interconnection candidate library matrix is further screened and corrected to obtain the interconnection optimization matrix, then the feeder interconnection optimization matrix is constructed by comparing the original interconnection relationship matrix of planning area, whether the line interconnection in the matrix is constructed and the construction position is taken as the decision variable, the multi-stage planning model is established with the optimal total cost and benefit of the whole planning period as the optimization target, the decision variable is parallel coded, and the dynamic programming algorithm based on parallel state reduction is proposed to solve, and the multi-stage transition planning scheme is obtained, which effectively avoids the investment waste phenomenon such as line reconstruction and demolition in distribution network planning, the target network frame transition path is clear, and it is conducive to assisting planning personnel to make decisions.

The invention discloses a remote enterprise management system based on cloud storage, which belongs to the field of enterprise management and comprises an employee file module, an employee management module, a reward and punishment module, a post management module, an administrator remote management module, an employee self-service query module and a cloud. The employee archive module, the employee management module, the reward and punishment module, the post management module, the administrator remote management module, the employee self-service query module and the cloud are in communication connection in sequence; according to the remote enterprise management system based on cloud storage, staff archives are subjected to recording, staff attendance checking, performance assessment and reward and punishment management, so that an administrator can quickly obtain staff information, can timely feed back according to the information and can also manage an enterprise online, the enterprise management efficiency is higher, and the enterprise management efficiency is improved. And online remote enterprise management is realized.

This invention discloses a digital twin-driven inspection method for new energy power plants, comprising the following steps: selecting and installing various types of sensors at key locations of critical equipment in the power plant; selecting suitable camera placement locations for different locations within the power plant using algorithms based on coverage and resolution optimization; completing a digital twin power plant performance model using a combination of laser scanning and camera imaging; forming an intelligent data display interface based on rule-based reasoning and machine learning, including fault prediction, diagnosis, and alarm mechanisms, thereby building a digital twin system; uploading information collected by sensors and cameras to the digital twin system using appropriate communication technologies; and completing the power plant inspection by using an inspection robot and cameras to collect power plant data. This invention, without increasing the cost budget, can simultaneously meet the requirements of real-time performance and accuracy, providing strong support for the safe and stable operation of new energy power plants.

Embodiments of the present disclosure disclose a power substation operation and maintenance method and device based on multi-agent, equipment and medium. A specific embodiment of the method comprises: in response to determining that the volume of the power substation is higher than a target volume, obtaining a real-time operation data set and an agent coordination graph; performing graph partitioning on the agent coordination graph to obtain at least one agent group set; for each agent group set, performing a generation step: for each agent group, generating group decision information; displaying the group decision information set on a decision page; generating an agent decision graph; performing agent screening of the coordination agent set to obtain a coordination agent subset and agent decision information; generating operation and maintenance information; and controlling the master agent to instruct each coordination agent to perform equipment operation and maintenance processing on the target power substation according to the operation and maintenance information. This embodiment can achieve accurate generation of corresponding operation and maintenance information of the power substation while reducing the computing resources of the agent, thereby ensuring the normal operation of the power substation.

This invention discloses a drug stability analysis system, belonging to the field of drug analysis technology. The system includes: a sample data acquisition module, a data fusion and normalization module, an intelligent analysis and state determination module, and a result output and trend prediction module. This invention achieves multi-dimensional and all-round scanning of drug samples during stability testing through the comprehensive application of optical imaging, fluorescence imaging, and infrared imaging technologies. This significantly improves the comprehensiveness and accuracy of data acquisition. Optical imaging technology captures macroscopic surface morphology information of the drug, while fluorescence imaging technology visualizes and tracks specific components in the drug to obtain component distribution information. Infrared imaging technology analyzes the chemical bond vibrations between drug molecules to obtain chemical composition information, providing material for subsequent data analysis and processing.

The invention discloses a cable fault distance measurement method, system and device and a medium, and the method comprises the steps: obtaining current signals of a normal signal segment and a fault signal segment of a cable, constructing an original data set according to the current signals, and carrying out the data processing of the original data set, and obtaining a sample matrix; calculating statistical characteristics of each channel of a normal signal segment in the sample matrix, respectively constructing a time domain outlier matrix and a frequency domain outlier matrix according to the statistical characteristics, and fusing the time domain outlier matrix and the frequency domain outlier matrix to obtain a time-frequency fusion outlier priori matrix; performing feature extraction on the sample matrix based on a time-frequency fusion outlier priori matrix to obtain a priori attention enhancement feature; based on the prior attention enhancement features, the fault distance measurement result is obtained through calculation, the distance measurement result is quantified, the credibility of the distance measurement result is obtained, the credibility is optimized, and the final distance measurement result is output, which is convenient for industrial field personnel to verify and make decisions.

The application discloses a method and device used in a communication node for wireless communication. The communication node receives a first information block used for determining a first resource block; transmits first signaling in the first resource block, the first signaling being used for indicating a first index; the first index is one of a plurality of candidate indexes, any candidate index of the plurality of candidate indexes being a non-negative integer; any candidate index of the plurality of candidate indexes corresponds to at least one reference signal resource, and uplink transmission associated with the reference signal resource corresponding to the first index is out of step. The application proposes a new uplink timing recovery scheme based on reporting in view of the problem that a user equipment cannot recover uplink timing in time, and uplink timing recovery is triggered in time through the user equipment reporting uplink timing out of step.

The invention discloses a high-risk coronary artery stenosis prediction method based on multi-level structure information collaboration, and belongs to the technical field of intelligent medical aid decision making. The method comprises the following steps: firstly, constructing a clinical pathological structure perception graph to describe a structure constraint relationship among variables, and constructing a patient group risk conduction graph to model risk association of patients in a multi-dimensional phenotypic space; then structure perception representation learning is carried out on the two images, and feature-level and patient-level embedded representations are obtained; and then realizing cross-level semantic alignment through linear projection, introducing a learnable weight to perform structure enhancement on the two types of representations, inputting the fused joint representation into a classifier, and outputting a risk prediction result of the high-risk coronary artery stenosis of the patient. According to the method, through double-graph collaborative modeling and multi-level structure information fusion, effective integration of heterogeneous structure characterization is realized, and the prediction accuracy and stability are improved.