15results about How to "Achieve mastery" patented technology

The invention discloses a multi-robot task scheduling method, system and device and a storage medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: carrying out the role definition of a robot, collecting environment information in real time, and constructing a dynamic environment model; according to the dynamic environment model, identifying current tasks to be executed, evaluating urgency, complexity and resource requirements of each task, and forming a priority list; disassembling a high-priority task in the priority list into sub-tasks, and assigning a role and a task allocation scheme of the robot; a biologically inspired self-organizing algorithm is adopted, the robot exchanges information according to the state of the robot and task requirements, and a task allocation scheme is dynamically adjusted; the robot exchanges information according to the own state and the task demand, and dynamically adjusts the task allocation scheme, so that the flexibility and adaptability of task allocation are realized, the change of environment and state can be responded in time, and task delay caused by insufficient resources is avoided.

The invention discloses a cross-domain data fusion method and system for distribution network middle stations based on a knowledge graph, and particularly relates to the technical field of data processing and fusion based on the knowledge graph. Firstly, intelligent gateway equipment is adopted to collect operation, fault, maintenance and other data of all systems and all lines related to distribution network operation, the data are transmitted to a data processing and storage module through a 5G communication protocol port transmission technology, and data cleaning, data integration, data conversion and other operations are carried out; classifying and storing the data, and then constructing a mapping knowledge domain in the distribution network; according to the method, a 5G communication protocol port transmission technology and a composite model are specifically adopted to perform knowledge extraction and knowledge fusion of graph construction, so that the technical problems of data islands and other data processing in a distribution network are solved, data sharing, service sharing and resource integration are effectively realized, and the reliability of the distribution network is improved. The problem that data between distributed systems in the current distribution network field is difficult to cooperate is solved, semantic integration and sharing of data between multiple systems are achieved, and the operation and maintenance efficiency and the intelligent level of a power distribution network are improved.

The invention discloses an EICU patient body constraint decision support method and system, and relates to the technical field of digital health, and the method comprises the steps: collecting the basic information of a patient, continuously monitoring the real-time vital sign data and behavior pattern of the patient, analyzing the emotional state and potential demand of the patient through an artificial intelligence algorithm, and recognizing the current situation of the patient; generating a personalized intervention strategy in combination with individual differences and current situations of the patients; predicting future behavior trends and potential risks of the patient based on the historical data and the current situation; dynamically adjusting an execution plan and a body constraint threshold value of an intervention strategy according to a prediction result; patient feedback information is continuously collected, and the model and the intervention strategy are optimized. The personalized intervention strategy is generated in combination with the individual difference of the patient and the current situation, the future behavior trend and potential risk of the patient are predicted based on the historical data and the current situation, the most suitable nursing measures are provided for the specific situation of each patient, and the nursing safety and effectiveness are improved.

The invention discloses a personal data security protection method, electronic equipment and a storage medium, and the method comprises the steps: 1, a mobile device authenticates according to user biological characteristics, a password module generates user identity information which comprises a user master key, a public key, a private key and a user identification code after the authentication is passed, the master key and the private key are stored in the mobile device, and the user identification code is stored in the mobile device; the identification code is fed back to the user; 2, the mobile device encrypts the private key by using the master key and the identification code, and sends the public key and the encrypted private key to a cloud backup to complete registration; 3, when the user logs in the mobile device, inputting the identification code to obtain the encrypted private key and the random number from the cloud, decrypting the encrypted private key and the random number by using the master key after the biological characteristic authentication is passed, and comparing and checking with the local private key; and when the new device is logged in, the decrypted private key storage is obtained through the same operation, and the new device generates a new master key encryption private key and sends the new master key encryption private key to the cloud for replacement. According to the invention, the security management of the user key can be realized, so that the user identity security and the user data security can be effectively ensured.

The invention relates to the field of three-phase power supply phase calculation methods, and discloses an ATSE three-phase power supply phase calculation method based on a Goertzel algorithm, which comprises the following steps of: setting an initial frequency of frequency detection, a period number k = 1 and a sampling number N of each period; common variables of the Goertzel algorithm are calculated; carrying out resampling operation on the AD data according to a set frequency; sequentially carrying out convolution operation on the AD data after resampling; after N sampling points of one period of data are calculated, second-step operation is carried out to obtain Yn containing amplitude-frequency information under the target frequency; and calculating phase information of the Yn according to the real part and the imaginary part of the Yn. By collecting AD data of three-phase voltage of the power supply, phase information of three phases is calculated in sequence, phase information of the three-phase power supply is obtained, and then the phase information of the three-phase power supply is obtained through data integration, so that comprehensive mastering of the overall phase state of the three-phase power supply is achieved, and accurate phase information is provided for ATSE control logic.

This invention relates to the field of monitoring the maintenance effect of wind turbine hybrid tower bases, and particularly to a system and method for monitoring the maintenance effect of wind turbine hybrid tower bases. The method includes the following steps: acquiring wind turbine hybrid tower base data; determining the initial condition of the wind turbine hybrid tower base based on the wind turbine hybrid tower base data; acquiring wind turbine hybrid tower base maintenance strategy data; using the wind turbine hybrid tower base maintenance strategy data to estimate the structural abnormal aging of the initial condition of the wind turbine hybrid tower base, obtaining the abnormal aging condition of the wind turbine hybrid tower base structure; determining the heating defect characteristics of the maintenance strategy based on the wind turbine hybrid tower base maintenance strategy data; using the heating defect characteristics of the maintenance strategy to determine the degree of thermal stress cracking of the wind turbine hybrid tower base based on the initial condition of the wind turbine hybrid tower base; and analyzing the stability decay trend of the wind turbine hybrid tower base based on the degree of thermal stress cracking, obtaining the stability decay trend data of the wind turbine hybrid tower base. This invention achieves greater stability and safety for wind turbine hybrid tower bases through tower base maintenance.

The embodiment of the invention provides a vehicle control method and system, a vehicle and a computer readable storage medium, and relates to the technical field of vehicle steering control. The method comprises the following steps: acquiring a vehicle state data set of a target vehicle; based on a first sub-data set in the vehicle state data set, determining a road adhesion coefficient of the target vehicle, the road adhesion coefficient being used for representing friction coefficients between a plurality of wheels of the target vehicle and the road; according to the road adhesion coefficient, a target rear wheel steering mode of the target vehicle is determined, and the target rear wheel steering mode is used for representing a vehicle driving mode matched with the road adhesion coefficient; determining a target rear wheel steering angle corresponding to the target rear wheel steering mode based on a second sub-data set in the vehicle state data set; and controlling the target vehicle to steer according to the target rear wheel steering angle. The technical problem of how to adaptively adjust the steering angle of the rear wheel of the vehicle so as to ensure the control stability and the driving safety of the vehicle is solved.

The present application belongs to the technical field of generator equipment monitoring, and particularly relates to a method for preventing the sparking of a generator excitation brush. First, a monitoring module is arranged at the rotor excitation brush of the generator to obtain a digital switching signal and an analog signal of sparking frequency when the brush sparks. After the digital switching signal and the analog signal are preprocessed, it is determined whether the signal threshold is exceeded. If so, a de-excitation signal is generated. According to the de-excitation signal result, a solution is matched and pushed to the user. The present application can solve the problem of poor monitoring effect of the generator excitation system in the prior art.

The present application discloses an audio inspection method and electronic device, belonging to the field of electronic technology. After converting the target audio to be inspected into a target pinyin sequence, the electronic device can determine the wrong pinyin of the target pinyin sequence relative to the standard pinyin sequence of the standard text and the error type of the wrong pinyin, and mark the text corresponding to the wrong pinyin and the error type in the displayed standard text. Compared with manual inspection of the mastery of the article, the electronic device in the method provided in the embodiment of the present application can automatically inspect the target audio to realize the inspection of the mastery of the article, thereby improving the efficiency of the inspection of the mastery of the article.

The invention provides an experimental training device for comprehensive utilization of energy in a chemical process, and belongs to the technical field of teaching aids. Two groups of pipelines, namely a first main pipeline and a third main pipeline, are arranged between the cold liquid storage tank and the hot liquid storage tank, a first pump, a first heater and a third heater are sequentially arranged on the first main pipeline, and a third pump, a second heater and a fourth heater are sequentially arranged on the third main pipeline; a third pump, a fifth heater and a first cooler are sequentially arranged on the second main pipeline; a fourth pump, a sixth heater and a second cooler are sequentially arranged on the fourth main pipeline; and each main pipeline is connected with the heat exchanger through the flow conversion system. According to the invention, graduates of the chemical industry specialty are helped to deeply understand and master energy-saving knowledge of the chemical process.

The invention belongs to the technical field of medical equipment management, and discloses a medical equipment identification, connection and management method based on a central control screen. Comprising the following steps: collecting equipment information and state information of medical equipment, and constructing a medical equipment information set; performing feature coding on the medical equipment information set to obtain a medical equipment feature vector set; based on the medical equipment feature vector set, performing split hierarchical clustering on the medical equipment to obtain n medical equipment category clusters; constructing a respective corresponding medical directed graph model for each medical equipment category cluster; applying an optimization algorithm to each medical directed graph model to obtain an optimal connection scheme of the medical equipment; according to the optimal connection scheme of the medical equipment, the connection and management of the medical equipment are realized through the central control screen, so that the equipment maintenance cost is reduced, and the continuity and reliability of medical services are ensured.

The present invention discloses a postoperative rehabilitation effect prediction system for thoracic surgery based on artificial intelligence, including a thoracic surgery data acquisition module, an intraoperative data transmission module, an operation result pre-classification module, a postoperative complication pre-module, a postoperative rehabilitation effect prediction module for thoracic surgery, and a rehabilitation report generation module. The present invention belongs to the field of rehabilitation prediction technology, and specifically is a postoperative rehabilitation effect prediction system for thoracic surgery based on artificial intelligence. This scheme establishes an intraoperative data transmission connection, calculates the energy consumption during the intraoperative data transmission process using distance energy consumption and cluster operation energy consumption, and realizes comprehensive grasp and management of the intraoperative data transmission energy consumption; uses calculation support, combined with confidence and lift value screening to find out the correlation between surgical operation details and postoperative complications; uses calculation of overall measurement scores, collects thoracic surgery rehabilitation feature data, identifies feature importance, and makes a trend chart predicting model performance by changing the rehabilitation effect over time.

This invention provides a collagen reaction vessel for easy observation of the reaction process, comprising a shell, an inner reactor body installed inside the shell, a transparent observation window mounted on the outer surface of the shell, and a high-definition camera mounted on the inner wall of the shell. The reactor body is made of quartz glass, and a ring-shaped cold light tube is mounted on the outer surface of the shell. The outer surface of the transparent observation window is coated with a nano-level anti-fog coating. The nano-level anti-fog coating on the outer surface of the transparent observation window effectively prevents fogging caused by temperature and humidity changes during the reaction, ensuring clear observation at all times and allowing operators to clearly capture details of the reaction process. The high-definition camera mounted on the inner wall of the shell breaks through the limitations of traditional single-view observation and eliminates blind spots; the reactor body, made of quartz glass, has excellent light transmittance, which, combined with the high-definition camera, enables comprehensive monitoring of the overall reaction process within the reactor.

The pollution discharge inspection well with the intelligent monitoring function comprises a well base installed underground, a well body is installed at the top of the well base, a plurality of annular reinforcing ribs are arranged on the outer wall of the well body from top to bottom, a water inlet is formed in the middle of the left side of the well body, a water outlet is formed in the middle of the right side of the well body, and the axes of the water inlet and the water outlet are located on the same horizontal line. Annular sealing grooves are formed in the inner walls of the water inlet and the water outlet, sealing assemblies are installed in the annular sealing grooves, blow-off pipelines are installed in the water inlet and the water outlet, an annular installation table is installed on the upper portion of the inner wall of the well body, an installation support is installed at the bottom of the annular installation table, and a monitoring assembly is installed on the installation support. A well lid is installed on the top of the inner side of the well body, ventilation holes are formed in the two sides of the well lid, and an anti-silting assembly is installed in the center of the well base.

The present invention discloses a multi-robot task scheduling method, system, device and storage medium, which relate to the field of artificial intelligence technology, including: defining the roles of robots and collecting environmental information in real time to build a dynamic environment model; identifying the current tasks to be executed according to the dynamic environment model, evaluating the urgency, complexity and resource requirements of each task, and forming a priority list; decomposing the high-priority tasks in the priority list into subtasks, specifying the roles of robots and task allocation schemes; using a biologically inspired self-organizing algorithm, the robots exchange information according to their own states and task requirements, and dynamically adjust the task allocation scheme; the robots exchange information according to their own states and task requirements, and dynamically adjust the task allocation scheme, thereby realizing the flexibility and adaptability of task allocation, being able to respond to changes in the environment and state in a timely manner, and avoiding task delays due to insufficient resources.