646 results about "Running time" patented technology

The invention relates to a calculation-storage stream joint scheduling optimization method and system based on DDQN and a heuristic strategy, and belongs to the technical field of distributed calculation and intelligent scheduling. The calculation-storage stream joint scheduling optimization method comprises the following steps: (1) defining a calculation stream and a storage stream; (2) workflow scheduling and execution: when the workflow is triggered, a scheduler evaluates the executable states of the tasks one by one according to the dependency relationship between the tasks and a scheduling strategy, and submits the executable tasks to a task executor; the task executor is responsible for executing the tasks on the working nodes and ensuring that the tasks are completed according to a preset sequence and priority; (3) collecting a DAG structure, queue information and an operation number; (4) task operation time and resource use prediction based on historical operation data; (5) scheduling optimization based on DDQN and a heuristic strategy; and (6) acquiring and storing scheduling information. The task execution efficiency and the resource utilization rate of the system are remarkably improved.

The invention relates to the technical field of industrial park intelligent monitoring, and particularly discloses a data acquisition and monitoring control method based on an intelligent industrial park, which comprises the following steps: acquiring key state data of equipment in real time, including operation time, operation temperature and operation power; an advanced signal processing algorithm is used for calculating an operation temperature abnormal index and an operation power abnormal index, the system can comprehensively evaluate the state of equipment and accurately judge whether slight or serious abnormal conditions exist or not based on detailed data analysis results, and the system can not only give out instant early warning notifications but also give out alarm information according to the serious abnormal conditions. According to the method, a machine learning model is adopted to predict the future operation state of the equipment, the equipment state abnormal coefficient in each future monitoring period is predicted based on the equipment state data in the current period, and classification and dynamic regulation and control of the equipment state are carried out according to a preset threshold value.

Apparatuses, systems, and techniques to generate a memory allocation plan for a set of tensors. In at least one embodiment, tensor data corresponding to the set of tensors is stored into memory locations at run time based, at least in part, on the memory allocation plan generated at a compile time.

A method and system for predicting remaining thermal runtime in an electronic device is disclosed. The method involves obtaining the device's current processor power consumption and temperature sensor reading, selecting a predefined function relating temperature and time at that power level, determining the position of the current temperature on the function, calculating the time position for a shutdown temperature, and determining the time difference to estimate remaining runtime. In some examples, the functions are quadratic curves fitted to empirical time-temperature data collected at different processor power levels. In one embodiment, the prediction is implemented in augmented reality glasses and continuously adjusted using updated power and temperature data. The runtime prediction enables the device to warn the user prior to shutdown and perform graceful shutdown procedures. By accounting for diverse operating conditions, the method provides an accurate estimate of remaining time before the device reaches critical temperatures.

The invention relates to the technical field of data acquisition, in particular to an AOP-based user behavior data acquisition method. The method comprises the following steps: firstly, identifying user behavior related code features by statically analyzing Java source codes of an application program, and constructing a feature template library; during a compiling period, according to a template library identification target method, embedding a point burying instruction by utilizing a byte code enhancement technology, and constructing a monitoring section framework; and during running, dynamically adjusting an execution strategy according to the running state of the application program by virtue of a dynamic rule engine. Meanwhile, an annular buffer area is adopted to asynchronously process user behavior data streams, cache data are managed in a sub-generation mode, and asynchronous processing is triggered when a threshold value is exceeded. The method also constructs an adaptive thread pool model based on a hierarchical thread pool architecture, distributes tasks according to data value weights, monitors the task backlog rate of a high-priority sub-pool, adjusts the sampling frequency or acquisition dimension when the task backlog rate exceeds a threshold value, forms adaptive closed-loop control, and effectively acquires and processes user behavior data.

The present invention provides a multi-device collaborative control method and system for a digital workshop based on the Internet of Things, which relates to the technical field of data processing. The method includes: obtaining the status information of the first device during the execution of the processing task; generating a status change event when the process progress reaches a preset completion threshold or the running time exceeds a preset running time threshold; organizing various status change events into a queue in chronological order to generate a to-be-scheduled event stream; determining the target status change event associated with the second device; instructing the second device to execute the subsequent operation task, and calibrating the execution start time based on the trigger time to generate a second device action record; matching the second device action record with the target status change event, and comparing its recorded time with the trigger time. If the time deviation exceeds the tolerance interval, adjustment instruction data is generated; gradually correcting the control cycle of the second device. The present invention improves the autonomy and accuracy of multi-device collaborative control.

The invention relates to the technical field of flexible job shop scheduling in intelligent manufacturing and production scheduling, in particular to a flexible job shop scheduling optimization method for solving and adjusting resource constraints. Comprising the steps of initializing parameters and randomly generating an initial population; sequentially using a crossover operator and a mutation operator to evolve the current population; executing a hybrid decoding strategy on the current population; sorting the individuals in the current population from small to large according to the maximum completion time to form an elite population, and updating the elite population through question specific local search; and judging whether an evolution condition is met or not, if so, executing CP-based mathematical evolution, and outputting a final solution when the running time reaches the total running time. The method has the positive effects of reducing the resource waiting time, improving the machine utilization rate and improving the resource utilization efficiency and the scheduling performance of the whole workshop production.

The invention discloses a circulating pump control method based on a PLC, and relates to the technical field of circulating pump control, and the method comprises the steps: collecting key working condition data of a circulating pump, calculating a flow instantaneous deviation value, inputting the deviation and the real-time key working condition data into a lightweight digital twinborn model embedded in the PLC, and predicting flow output under an ideal working condition. Comparing with an actual value to obtain a deviation factor, correcting a current PID parameter based on the deviation factor, and calculating a target output frequency in combination with the flow deviation; and the PLC dispatches the current optimal pump set and the corresponding frequency in combination with the target output frequency and the health index and the operation duration of each pump, soft start-stop control is executed, and the selected pump sets are stably started one by one. The problems of response lag and extensive dispatching of a traditional control method are solved, and the intelligent control level and engineering adaptability of the circulating pump control method are remarkably improved.

The invention discloses an electrical equipment operation data monitoring management system and method, and relates to the technical field of electrical equipment management. According to the electrical equipment operation data monitoring management method, operation state time sequence data of electrical equipment is obtained based on a set time period, and an operation time sequence change index and an operation time sequence characteristic index of the electrical equipment are analyzed; and performing evaluation analysis on the operation time sequence change index and the operation time sequence characteristic index of the electrical equipment to obtain an operation health evaluation index of the electrical equipment, and taking a preset management measure. The change rate is calculated based on the difference between the operation value and the parameter value, the operation time sequence change index of the electrical equipment is obtained, when the equipment is in the early stage of degradation, the parameters of the equipment possibly do not exceed the alarm threshold value, but the change trend is abnormal, and the hidden risk can be recognized in advance by incorporating the trend information into an evaluation system.

The invention provides an automobile air conditioner control method and device, a storage medium and an automobile air conditioner. The automobile air conditioner control method comprises the following steps of obtaining current environment temperature outside an automobile and current heating accumulation operation time of the air conditioner; and determining whether an air outlet and / or an airinlet of the air conditioner are covered with ice and snow or not according to the current environment temperature outside the automobile and the current heating accumulation operation time. The scheme provided by the invention can be used for solving the problem that due to the fact that the air outlet and / or the air inlet of the automobile air conditioner are covered with ice and snow, the problem that the heating effect of the air conditioner is reduced is solved.

The invention provides a shared cache management method and electronic equipment, and relates to the technical field of electronic equipment control. According to the method, the running frequency points of the processor and the shared cache can be matched, so that the processor can obtain data from the shared cache in time, and the running speed of the application is ensured. The method comprises the following steps: in response to a first event, setting a running frequency point of a shared cache as a first frequency point based on a focus application, user operation information, performance information of each processing core and thread running information; wherein the focus application is the application operated by the user for the last time, the user operation information comprises the type and the number of times of the operation acting on the focus application by the user within the preset time, and the performance information of each processing core is used for reflecting the shared cache missing rate of the processing core; the thread running information is used for reflecting running time proportions of the plurality of thread groups on the N processing cores, and each thread group comprises one or more threads running on the electronic equipment.

The invention relates to the technical field of rail transit, in particular to a multi-signal train control system simulation evaluation method, system and device and a medium. A plurality of evaluation functions are integrated, and the evaluation range covers a plurality of key dimensions of train operation. Train operation efficiency and safety abnormity evaluation are closely associated and coordinated, and a complete and systematized evaluation architecture is constructed. The running situation of the train is comprehensively grasped by comprehensively considering running efficiency indexes such as morning and evening points, tracking intervals, energy consumption and key section train occupied time and safety abnormity indexes such as train allowable speed sudden change, abnormal braking, section abnormal parking, abnormal access handling and motor temperature rise alarm. Based on fusion and deep analysis of multi-source data, real-time changes of train states, such as real-time power consumption, traction operation time and the like of a train in a specific area, are comprehensively analyzed, and a powerful basis is provided for formulating an optimization strategy.

The application provides an air conditioner control method and system based on carrierless communication, and a storage medium. The method comprises the following steps: after the air conditioner is powered on, when it is detected that the intelligent control running time reaches two cycles, the user usage habit self-learning is entered, so as to intelligently control the air conditioner based on the self-learning result; whether the intelligent control running time reaches one cycle is detected in real time, if yes, the parameter correction is performed according to the user usage habit of the previous cycle, so as to obtain a new user usage habit, and intelligently control the air conditioner based on the new user usage habit; otherwise, the air conditioner is intelligently controlled based on the user usage habit of the current cycle; whether the current user usage habit meets the preset requirement is judged every preset cycle, so as to correct the control parameter corresponding to the user usage habit according to the judgment result. The application can continuously update the parameter according to the change of the user usage habit, and is more intelligent.

Estimated and actual processor runtimes improve computer functioning in fairly sharing computing resources. Today's computers and cloud-based services serve many users and many software applications sharing CPU resources. An operating system thus implements a scheduling policy that fairly allocates CPU time. A scheduler thread implements the scheduling policy based on estimated processor runtimes, and actual processor runtimes, associated with tasks. The operating system may maintain running tallies or totals for a user / group / organization based on credits (e.g., the estimated processor runtimes) and / or on penalties (e.g., the actual processor runtimes). The scheduler thread may select tasks for worker threads based on the credits and / or the penalties, thus ensuring that no user / group / organization unfairly consumes CPU time.

A system analyzes a set of static source code to identify source code segments that may be implemented using parallel multi-thread processing at run-time. The system determines whether source code segments meet multi-threading criteria, including lacking operational data dependencies and having particular run time or computing resource consumption characteristics. Based on determining that the source code meets multi-threading criteria, the system modifies the static source code to utilize parallel multi-thread processing at run-time. The system generates a recommendation for a user based on the source code modification.

The invention discloses a computing power resource measurement method for a CPU (Central Processing Unit) and a GPU (Graphics Processing Unit). The method comprises the steps that on each device of a client side, the hardware type of each device is obtained, and the hardware type of each device is a CPU chip or a GPU chip; deploying a plurality of reference models and a data set corresponding to each reference model on each piece of equipment; and when each device calls a function corresponding to each reference model. The method solves the problems that in the prior art, a weighted measurement mode based on resource attributes cannot reflect the computing power condition in real use of computing power resources although a calculation mode is simple and efficient, and a time test mode based on an artificial intelligence reference model cannot visually reflect the computing power condition although running time results are ranked. And the calculation power value evaluation of the intelligent equipment is not accurate.

The invention relates to the technical field of electronic equipment, and discloses a process control method, electronic equipment and a readable storage medium. According to the electronic equipment, when the foreground event is detected, the time for allowing all the process queues to run in the single scheduling period allocated by the processor to different process queues can be adjusted in time. For example, the first process queue comprises the to-be-run processes related to the foreground application, and the second process queue comprises the to-be-run processes related to the background application, so that the time allocated to the first process queue is increased, more to-be-run processes related to the foreground application can have enough running time, and foreground jamming is reduced. And moreover, the time allocated to the second process queue is shortened, the to-be-run processes related to the background application are suppressed, and the situation that the processes occupy too much resources during running, and consequently the background load is too large can be avoided.

Systems and methods for providing dynamic network slicing resource reselection for wireless communication are described. User equipments (UEs) may determine that network slicing resources utilized with respect to one or more applications are to be changed in run time, such as for more efficient operation in light of a change in power mode, throughput mode, latency mode, etc. A message indicating a cause for reselection of a current packet data unit (PDU) session association with an application may be provided to a UE route selection policy (URSP) manager. The URSP manager may reevaluate a current PDU session association with the application to determine if it is a best match with the cause. If no, a switch to a new PDU session association with the application may be made. If yes, the current PDU session association with the application may be maintained. Other aspects and features are also claimed and described.

A computer-implemented method for upgrading and / or updating at least one service on a computer-implemented system, configured to: a. deploy at least one update version of the at least one service which needs to be updated or be upgraded on the system while maintaining the current version of the service on the system,; b. deploy and operate a monitoring module for protocolling communications among the plurality of services and for analysing dependencies among applications of the services with respect to their running times; c. determine process states of each at least one service which are suitable for updating and / or upgrading the service; d. disable the control of the current version of the service within the current technical application at a time slot of the identified time slots; and e. enable the control of the deployed update version of the service within the current technical application.

The invention provides a windshield control method and device with a memory function, and the method comprises the steps: controlling a windshield to move to a first locked-rotor point through time, and enabling the first locked-rotor point to be a positioning point at which a motor stops due to physical blocking when the windshield is driven by the motor to move to a first mechanical limit position; controlling the windshield to unidirectionally move to a target position only along the first direction, and recording the motor operation time T from the first locked-rotor point to the target position; storing the running time T; and when a position calling instruction is received, the windshield is controlled to move to the first locked-rotor point and then runs for the time T in the first direction to reach the target position. The technical scheme of the invention is a solution for realizing the grading controller with the memory function at low cost.

The invention provides an artificial intelligence chip and a debugging method. The artificial intelligence chip comprises a data scheduling module, a storage module and a plurality of core processing modules, wherein the core processing modules provide a plurality of key signals in real time; the interrupt control module sends a trigger instruction when detecting that an error event occurs; the debugging module obtains a plurality of key signals from the target module in real time, encapsulates the key signals into a plurality of data packets, configures corresponding address information for the data packets, transmits the data packets with the address information to the storage module through the data scheduling module, and responds to a trigger instruction, so that the debugging module performs debugging on the data packets. Stopping providing the data packet to the storage module; that is to say, key signal backup is carried out through the storage module in the chip, the reproduction time is consistent with the actual operation time, and the problem that faults caused by long-time operation of the chip are difficult to reproduce is solved. And the key signals are backed up in real time, so that the state in the chip can be monitored comprehensively in real time, and the non-static fault problem in the chip can be found out.

The invention discloses an exercise clock-in method and system, and the method comprises the steps: creating an exercise clock-in task rule in response to a creation request of an exercise clock-in task; running data are collected, the running data comprise running time, running mileage, running speed, runner information and running card punching point positions, and the runner information comprises gender, grade and department; analyzing and calculating the running data based on a movement clock-in task rule to obtain a single running score; all single running scores corresponding to each runner in the semester are obtained, and the total running score corresponding to each runner is calculated on the basis of all single running scores corresponding to each runner, so that the problem that in the prior art, exercise demand differences of people of different genders, grades and courtyards cannot be considered is solved; the problems that data acquisition and analysis are not fine and comprehensive enough, intelligent guiding and real-time early warning functions are lacked, and scientificity and fairness of exercise card punching are difficult to achieve and the exercise experience of participants is difficult to guarantee are solved.

The invention discloses a server clock synchronization system and method based on a BMC. The system comprises a real-time clock chip, a channel switching chip, a baseboard management controller and a server host. The real-time clock chip receives and stores BMC system time written by the baseboard management controller, maintains travel time based on the time and generates an interrupt signal through the interrupt output pin. And the channel switching chip switches an access channel to the real-time clock chip between the server host and the substrate management controller according to the level signal of the control pin. And the baseboard management controller obtains the access right by outputting the level signal, writes the BMC system time and sets the alarm clock time. And the server host responds to the interrupt signal, reads the hardware time data from the real-time clock chip and updates the system time. According to the invention, after the BMC modifies the time, the time synchronization can be completed without restarting the server host, the service interruption is effectively avoided, and the availability of a server system and the real-time performance of time management are improved.

The invention discloses a four-dimensional running line drawing method and system for a networked multi-scene train working diagram, and the method comprises the steps: building four types of databases and constraint rules, automatically extracting associated data from the built databases in a man-machine interaction mode according to different running scenes, and drawing a running line under the constraint rules. Each running line is attached with four dimensional coordinates including train attributes, running directions, running routes and running time from the starting point to the terminal point, running line parameter information is embodied in real time, the problem that manual assembly of running line data is extremely tedious in the using process of existing running diagram software is solved, high efficiency and refinement of running diagram drawing are achieved, and the running diagram drawing efficiency is improved. The method can adapt to various driving organization scenes, and the rapidity, adaptability, flexibility and refinement of running chart drawing are improved; a foundation is laid for high-quality operation, cost reduction and efficiency improvement of rail transit, and a technical and tool foundation is creatively laid for management and energy conservation of train operation.

The invention discloses a thread scheduling method, electronic equipment, a storage medium and a program product, and relates to the technical field of computers, security check is performed on a source thread and a target thread through a thread switching request initiated by the source thread, an allocatable time period of the source thread allocated to the target thread is calculated according to a security detection result, and the allocatable time period of the source thread allocated to the target thread is sent to the electronic equipment. Bypassing a processing mechanism of a completely fair scheduler, updating the virtual running time of a source thread, distributing an allocable time period to a target thread, calling a context switching function to execute thread switching operation on the source thread and the target thread, and synchronously updating the virtual running time of the target thread when the target thread consumes the allocable time period. According to the thread scheduling method and device, the problem that in the related technology, when a complete fair scheduler processes high-frequency and collaborative thread tasks, due to the indirect handover mechanism and fair scheduling characteristics of the complete fair scheduler, the delay of thread scheduling is improved is solved, and the delay of thread scheduling is reduced.

The invention discloses a code running time determination method based on a CORTEX M4 chip and related equipment. The method comprises the following steps: establishing a C + + operation support environment for a CORTEX M4 chip; defining a time measurement class, taking system time recorded by a constructor function of the class as starting time, and taking system time recorded by a disruptor function of the class as ending time; and determining the running time of the target code block based on the starting time and the ending time. The problems that at present, a system beat interface is called before and after a code segment to obtain a timestamp, difference is made to measure the running time of the code segment, and repeated time obtaining and difference calculation logic needs to be inserted into each code segment needing to be measured, so that code redundancy and structure bloating are caused can be solved.

The invention discloses a joint scheduling method of a machine and an automated guided vehicle, and relates to the technical field of intelligent manufacturing and industrial automation. Comprising the following steps: acquiring machine processing state data, process task data, automatic guide transport vehicle running state data and workshop channel occupation data; dividing a plurality of continuous path sections, matching operation time intervals for the sections, and generating transportation corridor data; time interval constraints in the transportation corridor data are extracted, and corrected processing time window data synchronous with the transportation corridor are generated; obtaining feasible region consistency data containing execution parameters; and calling feasible region consistency data and converting the data into a cooperative control instruction to be issued and executed. According to the invention, the dynamic space-time cooperation of the machine processing plan and the transport path of the automatic guided vehicle is realized, and the continuity of workshop production takt and the overall utilization rate of equipment in a dynamic environment are improved.

The invention provides a task scheduling method, device and system based on a large language model and electronic equipment. The method comprises the steps of obtaining task information of a to-be-run task and a plurality of historical tasks similar to the to-be-run task and actual running time consumption of the historical tasks; predicting the operation time of the to-be-operated task by the large language model based on the task information and the actual operation time consumption; and determining a target task operation node from the non-idle task operation nodes based on the operation time, and scheduling the to-be-operated task to the target task operation node. The problem of resource fragmentation can be solved in the task scheduling process, and the resource utilization rate is increased.

The invention provides a process control method and device for integrated circuit design, equipment and a storage medium, and belongs to the technical field of integrated circuit design, and the method comprises the steps: determining execution weights of a plurality of verification tasks in a current design stage according to a preset association rule; and based on the execution weight, screening out a target verification task from the plurality of verification tasks, and marking the target verification task as an enabled state. The corresponding most concerned target verification task can be determined in different design stages, and the number of times of operation of invalid EDA tools is reduced.

Provided in the embodiments of the present application are a chip resource elastic allocation method and apparatus based on an elastic microkernel. The method comprises: configuring a data structure of a partition scheduler of each adaptive partition and a budgeted CPU running time of each adaptive partition; on the basis of the data structure of each adaptive partition, scheduling a corresponding budgeted CPU running time for a task in each adaptive partition; and when the CPU running time actually used by any adaptive partition is less than the budgeted CPU running time thereof, allocating the remaining CPU running time of the adaptive partition to other adaptive partitions that have tasks waiting for scheduling. In the technical solution of the embodiments of the present application, chip resources are dynamically and elastically allocated by means of an elastic microkernel, and on the basis of demand changes of a computing task in each adaptive partition, computing resources are dynamically allocated and adjusted, thereby ensuring bursty CPU demands, and thus meeting computing power demands of different tasks.