44 results about "Time function" patented technology

The invention relates to the technical field of the Internet of Things and artificial intelligence, and discloses an equipment maintenance fault intelligent analysis method and system based on the Internet of Things, and the method comprises the steps: representing an entity and a relation as a time function, and constructing a time sequence knowledge graph; monitoring vector change in the knowledge embedding space, detecting a concept drift phenomenon and mining an equipment performance evolution mode; constructing an equipment state transition model by using a recurrent neural network, predicting the future state of the equipment and evaluating the fault risk; collecting feedback processing knowledge conflicts and updating the model; generating multi-time-scale fault risk early warning and maintenance suggestions; according to the method, the knowledge acquisition efficiency is improved, dynamic knowledge support of the full life cycle of the equipment is provided, early recognition of gradient faults is realized, the method has adaptive knowledge updating capability, multi-dimensional fault analysis is provided, maintenance resource configuration is optimized, and the equipment management efficiency is improved.

The invention relates to a preset performance specified time tracking control method for a mechanical arm, belongs to the technical field of intelligent robot control, and solves the technical problem of low control precision of the mechanical arm. Comprising the steps of establishing a dynamical model and a fault model, designing a preset performance specified time function, constructing a preset performance specified time tracking control law, and verifying the bounded stability of the preset performance specified time tracking control law. According to the control method, the specified time preset performance function is introduced into the control law design in an error transformation mode, synchronous adjustment of the convergence precision and the convergence speed is guaranteed, and the control method is used for the mechanical arm device and can also be used for locally spraying an end effector on the surface of an aircraft.

The present invention discloses a police martial arts combat action evaluation method and system based on staggered time pulses, belonging to the technical field of action behavior analysis. The method solves the problem that existing methods cannot timely capture subtle dynamic changes of joints when processing complex motion sequences. The method comprises extracting key skeleton points from a target action video, converting serialized motion data into a discrete pulse signal set through a pulse function, processing the pulse signal set based on the staggered time function, and performing police martial arts combat action recognition and training evaluation on the target action video based on the pulse feature set using a multidimensional time series evaluation model. The present invention introduces a staggered time function to analyze the temporal relationship of skeleton points, and uses a feature adaptive extraction algorithm based on a flexible trigger mechanism of a water tank to ensure the temporal sequence and integrity of feature extraction, thereby improving the accuracy and robustness of motion behavior evaluation, thereby providing a scientific and effective evaluation tool for action training and evaluation.

The invention discloses an intelligent device control method in a heterogeneous computing environment, an intelligent device comprises a host end and an MCU end, the control method comprises the following steps: S1, writing a function control code in the same set of high-level language, adding a specified mark to an entry function executed at the MCU end, and calling a corresponding basic service function at a place where MCU hardware IO needs to be accessed; s2, converting a function executed by the MCU end in the function control code into a lightweight byte code, and transmitting the lightweight byte code to the MCU end; and S3, only sending periodic real-time function control, sensor reading and actuator operation write-in tasks to the MCU end for execution. According to the invention, the logic of the host and the MCU end is compiled by using the high-level language in a unified manner, multi-language splitting is avoided, and meanwhile, the MCU end adopts lightweight byte code interpretation and periodic memory management, so that occupation during operation can be compressed, and the industrial-level real-time performance requirement can be met.

Method for manufacturing a workpiece with a predefined sequence of machine tools by a computer-controlled manufacturing machine with an optimal tool configuration, wherein the initial locations of the tools are allocated, first and second time transfer time functions are calculated for all tools, possible tool location sequences are generated, for possible tool location sequences a respective first cost factor is calculated, obtained tool location sequences are ranked in accordance with the respective first cost factor, the tools are transferred from their initial locations to the optimal locations in accordance with an optimal tool configuration, and the workpiece is manufactured with the optimal tool configuration by the manufacturing machine.

The invention discloses a path query method, which comprises the following steps: acquiring graph data of a time-varying road network, the graph data comprising a vertex set, an edge set, a time-varying transit time function set and a current time window; constructing a time-varying H2H index based on the vertex set, the edge set and the time-varying passing time function set; setting a sliding time window taking the current time window as a reference; sliding the sliding time window along the positive direction of the time axis at a preset time interval, and obtaining corresponding updated traffic prediction data; according to the updated traffic prediction data, performing incremental expansion and updating on the time-varying H2H index to obtain an updated time-varying H2H index; obtaining a query request of a user; and according to the query request, outputting the path with the shortest required passing time corresponding to the query request and the corresponding passing time by using the updated time-varying H2H index.

The present application relates to the technical field of flexible rope control, in particular to a preset time control method for a flexible rope system based on an interference observer, comprising the following steps: establishing a partial differential equation dynamics model of the flexible rope system; establishing a preset time function; constructing a distributed preset time interference observer according to the partial differential equation dynamics model and the preset time function; establishing a dynamics model of interference estimation error according to the distributed preset time interference observer; determining a preset time controller for controlling the flexible rope system based on the dynamics equation of the interference estimation error, and obtaining a distributed control input of the flexible rope system. The preset time controller is used for control input of the flexible rope system, so that the elastic deformation speed of the system converges to the origin within a specified time, and the convergence time is independent of any initial state.

A high-speed rolling area time mode intelligent controlled cooling method comprises the steps that a time mode variable point is set on a human-computer interface, and an operator selects to start an intelligent controlled cooling mode; a torque signal of a pre-finishing mill unit is used as a triggering condition, set delay time is combined, and a through-water controlled cooling time starting function is set through a time function block FC20; an automatic cold control starting command interlocked with the water valve opening pulse signal is generated, and self-locking is formed; calculating the actual length of the non-cold section of the head of the rolled piece in the PLC according to the physical layout of each through water cooling water tank; according to the length and the finish rolling outlet linear speed, accurate controlled cooling starting delay time is obtained through calculation and conversion; and parameter setting and monitoring are carried out through an integrated WINCC operation picture. Full-process and self-adaptive time mode intelligent controlled cooling under the high-speed rolling environment is achieved, frequent manual operation is effectively avoided, controlled cooling uniformity and product quality are improved, and meanwhile equipment loss is reduced.

The application discloses a radio frequency computing method and system based on a time coding metasurface. The metasurface is composed of a metal patch layer, an F4B dielectric layer and a metal backplate layer. By applying a specific periodic control signal, the metasurface can modulate the electromagnetic information of the incident wave. The baseband signal of the incident electromagnetic wave represents a time function that needs to be operated, and the control signal of the metasurface corresponds to the coding sequence of the required operation. After the electromagnetic wave interacts with the metasurface, the reflected wave will carry the information of the operation result, and the Fourier transform and convolution operation in the radio frequency domain can be realized. The application eliminates the conversion of the radio frequency signal, and directly completes the calculation in the radio frequency domain, which can effectively reduce the calculation delay and energy consumption. At the same time, since the traditional radio frequency link is omitted, the radio frequency calculator constructed by the metasurface has low hardware complexity and cost, a simple structure and is suitable for application fields of communication, radar, sensing and the like under the premise of ensuring the calculation accuracy.

The invention discloses a hinge wear depth dynamic simulation method based on a random event, and the method comprises the steps: S1, constructing a random event time function matrix, and generating a periodic collision event occurrence moment according to the design life of an aircraft hinge and a predefined time unit; s2, determining the collision influence duration, and calculating the continuous influence duration of the collision events on the wear process based on the minimum value or the maximum value of the time difference of the adjacent collision events in the random event time function matrix; s3, two-way wear factors are set and represent the multiplication or halving effect of collision events with the consistent stress direction and the opposite stress direction on the wear depth; and S4, establishing a wear process function, and dynamically adjusting a mean value function of an IG process to reflect the nonlinear influence of a collision event according to whether the current time point belongs to the collision event occurrence moment in the random event time function matrix or not and the continuous influence time period of the collision event.

The invention provides a resource scheduling method and device, a storage medium and a computer program product, and the method comprises the steps: obtaining training data which at least comprises task list information, heterogeneous resource information of various task processing nodes, and clock information; determining a resource scheduling strategy corresponding to one or more tasks based on task list information included in the training data, heterogeneous resource information of various task processing nodes, clock information and a first model; based on a preset reward function and a resource scheduling strategy, the first model is trained, the trained first model is obtained, resource scheduling is conducted on one or more target tasks in the to-be-scheduled task list through the trained first model, and the preset reward function comprises a resource usage amount function and a task processing time function.

The application provides a kind of multi-process simulation test system construction method, the method includes: by real-time principle, model and interface separation strategy and interface function division strategy to each functional module of simulation test system is divided, according to the non-real-time function process, model simulation function process, periodic interface communication process and instruction trigger type interface communication process of division complete the construction of multi-process simulation test system, or according to the non-real-time function process, model simulation function process, bus type interface communication process and non-bus type interface communication process of division complete the construction of multi-process simulation test system.The application can solve the technical problems of higher cost and lower efficiency in the development and secondary development of the multi-thread simulation test system in the prior art.

The present invention relates to the field of automation technology and provides a control time control method, apparatus, electronic device, and storage medium. The control time control method comprises the following steps: obtaining control information, the control information including a target control object; injecting a first operation event and a second operation event into the target control object, pre-simulating the first operation event, and controlling the simulation time of the first operation event using a time function; and simulating the second operation event after the simulation of the first operation event ends. Embodiments of the present invention are advantageous for improving the accuracy of control long press time.

The shallow heavy oil sampling probe selection method and system based on a dynamic mobility window selects data in the process of adjacent well sampling, fits a differential pressure-time function, and then calculates the upper limit and lower limit of the mobility window of each probe to form a probe sliding mobility window, compares each probe sliding mobility window with the best sampling mobility range of the sampling target layer one by one, and selects the optimal probe type. Meanwhile, when the sampling operation cannot meet the success standard, the measured formation pressure and pipeline pressure of the target well are fitted into a new differential pressure-time function to cover the original function, and dynamic adjustment is realized. The beneficial effects of the present application are: improving the sampling success rate, accurately matching the formation conditions and probe parameters through the dynamic mobility window. Shortening the operation time, optimizing the sampling probe type, and effectively improving the operation timeliness. Enhancing system automation, and adapting to changes in complex formations.

Described herein is a method and system for testing a force or strain sensor in a continuous fashion. The method employs a sensor, a test fixture, a load cell, a mechanical actuator and tester hardware and software to simultaneously record signal outputs from the sensor and load cell as functions of time. The method provides time synchronization events for recording data streams between, for example, a linear ramp of the force on, or displacement of, the sensor and for extracting performance characteristics from the data in post-test processing.

The application provides a kind of based on the monitoring processing method, device and equipment and medium of main bearing of heading machine, the method comprises: monitoring obtains the running data of main bearing in first preset time, and obtains first characteristic value according to the running data in first preset time, to construct the first time function corresponding to running data according to first characteristic value;Monitoring obtains the running data of main bearing at first time after constructing first time function, and obtains the first predicted value corresponding to first time according to first time function;When determining the difference between the running data of first time and first predicted value is greater than the first difference value of preset, determine that main bearing is in degradation stage, and execute the alarm processing of main bearing in degradation stage.Can timely alarm when main bearing enters degradation stage to adjust the load working condition and lubrication condition of main bearing, ensure project on time completion.

The present invention discloses a method and system for evaluating the execution boundary of a non-real-time function block. The method comprises: converting the non-real-time function block into an intermediate program and constructing a control flow graph according to the intermediate program; deriving an execution boundary parameterized evaluation formula; bringing the value of the non-real-time function block input pin into the evaluation formula to obtain an evaluation result. The system comprises an import module, an analysis module, an export module, a download module, an evaluation module and an execution module, and each module is responsible for importing various types of non-real-time function blocks; analyzing the internal control flow and operation platform of the imported non-real-time function block and providing an execution boundary evaluation formula; simplifying the evaluation formula and generating an evaluation program segment; and packaging the non-real-time function block and its evaluation program segment and downloading them to the operation platform; synchronously running the evaluation program segment to obtain the execution boundary of the function block, and finally responding according to the evaluation result. The non-real-time function block is executed only when it does not exceed a given scan cycle.

The present disclosure provides a man-machine interactive method and apparatus for a long-endurance operation based on a dynamic time pressure, belonging to the technical field of man-machine ergonomics. The method specifically includes: constructing a maximum performance-time pressure-time function curve based on a performance-time pressure function curve corresponding to a long-endurance operation; calculating a response time of a next long-endurance operation based on a historical response time of man-machine interaction after the current long-endurance operation is completed; calculating a maximum performance value corresponding to an initial time of the next long-endurance operation and a time pressure corresponding to the maximum performance value based on the maximum performance-time pressure-time function curve; and calculating an optimal reserved time corresponding to the maximum performance value based on the response time of the next long-endurance operation and the time pressure. The method and the apparatus can improve the performance level of the man-machine interaction during the long-endurance operation, and reduce human errors caused by cumulative fatigue and too short reserved time of the operation, thereby improving the flight safety.

The present application provides a timing method and device that can meet the needs of higher precision time. The method includes: a time function network element receives a clock configuration request message from a mobility management network element, determines the timing mode for one or more access network devices among the at least two access network devices to perform timing on one or more terminal devices based on the clock capability information corresponding to the at least two access network devices, and sends a corresponding timing indication message to at least one access network device among the at least two access network devices. The clock configuration request message is used to request timing for one or more terminal devices, and the clock configuration request message includes: the identification of one or more terminal devices, and the identification of the access network device that provides services for the one or more terminal devices. The timing indication message is used to indicate the timing mode, and the clock capability information corresponding to the at least two access network devices includes the identification of one or more satellite signals that the access network device can receive.

The present invention provides a communication method and device based on a time-sensitive network, which at least includes: a first data stream is scheduled for transmission based on time triggering, and a second data stream is scheduled for transmission based on a time function; wherein the time-triggered scheduled transmission is used to set a time interval within the data transmission cycle of each port for the exclusive transmission of the first data stream; if the output value of the time function corresponding to the second data or third data is greater than or equal to 0, and the current time is not within the time interval for the transmission of the first data stream, the data of the second data stream or the third data stream is allowed to be transmitted on the transmission port. In the technical solution provided by the present invention, different transmission schemes are adopted for different types of data streams, and the first data stream with high real-time requirements can interrupt the second data stream with general real-time requirements. By interrupting the second data stream, the real-time performance of the first data stream can be guaranteed.

The application discloses a train loading method and device for calculating train bridge dynamic response, and relates to the technical field of bridge dynamic analysis. The method comprises the following steps: based on an established bridge finite element analysis model, setting a train load loading node interval, and forming a dynamic loading node sequence; a virtual beam unit is established between the dynamic loading node sequence, and the length of the virtual beam unit before and after each dynamic loading node is calculated; the time when the train head reaches each dynamic loading node is calculated; the equivalent node force of the train uniform load and the concentrated force is calculated, and the equivalent node force of the dynamic loading node is obtained; the equivalent node concentrated force loading time function is obtained; the input file of the finite element software is generated according to the equivalent node concentrated force loading time function corresponding to each dynamic loading node and the train head arrival time, and is led to the finite element software, so that the train dynamic load moving loading is realized. The application reduces the node loading data, and greatly shortens the calculation time.

The invention discloses a dynamic use case random processor verification system based on real-time function simulation, and particularly relates to the technical field of processor verification, and the system comprises an instruction and random preference modeling module which is used for defining instruction description information, architecture basic information and random preference information; and the instruction generator is used for analyzing the instruction description information, the architecture basic information and the random preference information, loading and generating a guide file, and generating a target instruction sequence and asynchronous event information. According to the method, the memory state and the register state are updated according to a real-time result through dynamic simulation, the next instruction to be generated is optimized according to the current state, constraint through a prepositive sequence is not needed, an excitation side can simulate an external event according to an actual scene, and through introduction of three-party comparison, verification of event behaviors is more accurate, and the verification efficiency is improved. The purposes of accelerating processor verification convergence and improving processor delivery quality are achieved by improving use case writing efficiency, enhancing project inheritance and improving use case effectiveness.

A plant growth monitoring system comprises an image capture system for capturing images over time of a plant being monitored. The images are used to derive successive time instants corresponding to predetermined growth states of the plant. A temperature exposure parameter is obtained between the successive time instants, based on a monitored temperature vs. time function. Information relating to a plant health is derived from the temperature exposure parameter.

The invention belongs to the technical field of computer system design, and particularly relates to a computer system with a non-perceptual loading and unloading function, which is characterized in that an RTOS kernel layer, a real-time user layer and a user-defined program layer are arranged, system bottom layer initialization and system memory allocation are performed through the RTOS kernel layer, and a specified user area is reserved; a real-time user layer supports a bottom layer of a user layer program, so that the user layer program supports a real-time function, including identifying and verifying inserted or connected hardware, reading a user layer program mirror image stored on the hardware, and accessing and running the identified program mirror image in the existing mirror image in a non-perceptual manner; the program is dynamically called in and removed through a user-defined program layer and a non-perceptual loading and unloading mechanism, and a unified program mirror image format is defined. A novel computer system design that user layer programs can be loaded and unloaded without perception without interruption or manual intervention in the real-time operation process of the system is achieved.

An electronic device according to various embodiments may comprise at least one processor and a memory. The memory may store a computer program including a plurality of artificial intelligence (AI) models and computer-executable instructions. The instructions may be individually or collectively executed by the at least one processor and instruct the electronic device to: obtain a response time function obtained by performing machine learning on training data including a response time according to a result of executing an AI pipeline including at least one of the plurality of AI models; identify the AI pipeline included in a queue; determine an occupancy time to be allocated to at least one AI model included in the AI pipeline, on the basis of the response time function; and cause the at least one AI model to be executed within the occupancy time. Various implementations other than the above embodiment are possible.

The invention discloses a method for monitoring leakage of a high-pressure gas pipeline, which comprises the following steps of: judging whether a pipe network system has an intermediate station or not, and acquiring a historical error value according to historical operation data of a pipe network; the size between a real-time error value corresponding to the real-time operation data of the pipe network and a corresponding historical error value is judged, when the real-time error value is larger than the historical error value and lasts for preset time, leakage possibly exists in the pipe network, and when the real-time error value is larger than two times of the historical error value and lasts for preset time, leakage exists in the pipe network; the pressure of the leakage point is determined according to a steady-state formula, a flow conservation formula and a distance relation formula between the leakage point and the inlet and outlet of the pipeline, a corresponding leakage position time function when the pressure of the leakage point converges is obtained, and the leakage position is obtained according to the leakage position time function. Whether the gas pipeline leaks or not and the leakage position can be accurately monitored.

A processing method and a processing system (20) are provided that are operable to determine a time-dependent estimate of at least one response parameter that affects or represents a frequency response characteristic of an electrical grid (11). A time-dependent estimate of at least one response parameter as a function of time within a time interval is determined for generator set input and load levels within the time interval.

The embodiment of the invention relates to a test method and system of a drive-by-wire chassis system, a computer program product and electronic equipment, and relates to the technical field of test.The method comprises the steps that a test request is received, and a test system needing to be tested in the drive-by-wire chassis system of a drive-by-wire engineering vehicle is determined according to the test request; determining a test request response function corresponding to the test system, responding to a confirmation event for the test request response function, and preliminarily starting a time function by the test request response function; the test request response function is used for prompting test information of a test system; after the time function is initially started, calling an execution function corresponding to the time function; and according to the execution function, executing a test instruction of a single step in the test system corresponding to the test request to obtain a test result of the test system. The test efficiency and the test consistency can be improved.

The invention discloses an electricity-carbon cooperative scheduling method, system and device based on a target representative element and a medium, and belongs to the field of electric power systems, and the method comprises the steps: obtaining prediction data and a scheduling optimization problem; inputting the prediction data into a scheduling model, projecting the scheduling model to a target space, determining a target representative element set based on the subspace information volume of the target space, and mapping a continuous time function of the scheduling model to a representative element interpolation subspace based on the target representative element set by adopting a mapping operator of the target space, according to the method, a target function and a constraint condition are reconstructed to reconstruct a scheduling optimization problem into a nonlinear programming problem, the nonlinear programming problem is calculated to obtain a scheduling scheme, a power system of the next day is scheduled according to the scheduling scheme, and a target space is a regenerative kernel Hilbert space with an expansion characteristic. The scheduling precision, the calculation efficiency and the new energy consumption capability can be improved.

The invention discloses an energy scheduling method and apparatus, a computer device and a storage medium. The method comprises the steps of obtaining external load data, current state data and historical state data of a virtual power plant; based on the external load data, determining a time function of the external load of the virtual power plant changing with time; performing prediction processing based on the current state data and the historical state data to obtain future state data of the virtual power plant; and performing energy scheduling on the virtual power plant based on the current state data, the future state data and the time function. Through the external load data of the virtual power plant, the time function of the external load of the virtual power plant changing along with the time can be accurately determined, the time function is used for making up for the deficiency of the power market data, and then energy scheduling can still be accurately performed on the virtual power plant according to the current state data, the future state data and the time function.