32results about How to "Less crashes" patented technology

The invention discloses a system and a method for resisting a pseudo link layer protocol attack in an electric power communication network, and relates to the technical field of communication. The system comprises: a switching unit, which is used for receiving all data frames transmitted from an Ethernet port; the data identification module analyzes the protocol type and the destination address of the data frame, and forwards the data frame to the service processing unit or directly discards the data frame; the buffer area module sets an independent buffer area for each link layer protocol, and dynamically adjusts the size of the buffer area based on the protocol characteristic weight and the equipment memory resource through the configuration unit; the buffer area management module monitors the state of a buffer area in real time and triggers data discarding operation when the buffer area is fully loaded; and the data extraction module extracts the data frames from the buffer area according to a set time interval and analyzes and forwards the data frames in combination with a priority rule. According to the method, the size and the time interval of the buffer area can be dynamically adjusted, the resource utilization efficiency is improved, the pseudo link layer protocol attack is effectively resisted, and the security and the real-time performance of an electric power communication network are guaranteed.

The embodiment of the invention discloses a power management method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring state information of a chip, wherein the state information comprises a power management state of the chip; if the power management state represents that the target management item of the chip is power-off management, generating a power control instruction based on the power-off management; electric connection between the Ethernet and the chip is cut off based on the power supply control instruction, and a power-on state between the Ethernet and the controller is kept; and if the power-off between the Ethernet and the chip is completed, controlling the power-off operation between the Ethernet and the controller. According to the embodiment of the invention, electric leakage of the input and output ports can be avoided, the problem of chip burnout caused by electric leakage is solved, and the chip can be ensured to quickly respond and be switched to a correct power supply state when needed through fine power supply management.

The invention discloses an ETL task scheduling optimization method and system, equipment and a medium, and relates to the field of data processing. According to the method, an ETL task is divided into a plurality of execution stages, and pause time with preset duration is set between every two execution stages; executing the next execution stage of the current ETL task when the pause time is entered and the first resource currently usable by the platform is greater than or equal to the second resource required by the next execution stage of the current ETL task; when the first resource is smaller than the second resource, the current ETL task is converted into a pause state, a pause point is set, the current ETL task is added into a task waiting queue, and an ETL task with the priority higher than that of the current ETL task is executed or whether resource release exists or not is continuously monitored. By implementing the technical scheme provided by the invention, the ETL task can be reasonably scheduled when resources are insufficient, resource waste and task delay are avoided, and the execution efficiency of the ETL scheduling task is improved.

The invention provides an http request task queue concurrent processing method based on a UE engine, and relates to the technical field of network communication methods, and the method comprises the steps of request receiving, data acquisition, model construction, load prediction, request enqueue, task scheduling, task distribution, request response and the like. According to the method, the system load change can be accurately predicted, so that the processing of the request can be dynamically adjusted according to the actual state of the system load, and the instability caused by static scheduling in a traditional method is reduced.

The invention relates to the technical field of reinforcement learning, in particular to a deep reinforcement learning method and system based on multiple agents. The method comprises the following steps of performing operation log extraction on multiple agents and constructing a multi-agent interaction graph to obtain the multi-agent interaction graph; carrying out resource release limited interval calculation among different load nodes on the multi-agent interaction map to obtain a node resource release limited interval; according to the node resource release limited interval, making a multi-agent resource competition strategy and carrying out multi-agent hierarchical convergence behavior coupling to obtain hierarchical convergence behavior coupling data; and constructing a multi-agent resource competition balance model according to the layered convergence behavior coupling data to obtain the multi-agent resource competition balance model, and sending the multi-agent resource competition balance model to a cloud platform to execute multi-agent deep reinforcement learning. According to the method, multi-agent collaboration is more perfect through optimization processing of multi-agent reinforcement learning.

The embodiment of the invention provides a game running method and device, equipment and a storage medium. The method comprises the steps that a target game is started to run according to a received starting instruction, the running state of the target game is monitored, and the target game is pre-configured in a container; when a game crash event of the target game is monitored, responding to a generated game recovery instruction, restarting the target game and reading progress archived content of the target game from a local storage space associated with the container; and recovering the target game to the game node of the progress archived content so as to continue running the target game from the game node. By means of the method, for the game running in the container, automatic recovery of the crashed game can be achieved directly through the monitoring logic, progress archived content storage in the container and the like, the recovery cost of the console game during game crashing is better reduced, the recovery process of game recovery is simplified, and the recovery efficiency of the console game is improved. And the influence of game collapse on the experience of players is reduced to the maximum extent.

The invention discloses a global memory allocation method and device for a GPGPU (General Purpose Graphics Processing Unit) and a medium, belongs to the technical field of GPGPU memory allocation, and is used for solving the technical problem that in the data transmission cooperative work process of an existing host and a GPGPU device, the real-time performance of a task is easily influenced, and a large device memory space is possibly occupied, so that the memory space is wasted. The method comprises the following steps: performing data block division processing on each piece of input data required by an input task to obtain input data blocks; performing operation processing of the device end on the first group of input data to obtain an operation result of the first group of input data; if the operation state of the device end is completed before the host end finishes sending the second group of input data, performing first operation completion control on the device end to obtain a first operation result of the second group of input data; and if the operation state of the device end is completed after the host end finishes sending the second group of input data, obtaining a post-operation result of the second group of input data.

The invention relates to the technical field of video monitoring platform equipment access service request processing, in particular to an efficient thread scheduling method for a video monitoring platform equipment access service request. Comprising a request classification processing step: receiving an equipment access service request, and judging the type of the request; an asking weight distribution step: distributing different weights to different types of requests; an equipment off-line processing step: before processing an equipment access service request, checking the state of equipment related to the request; according to the method, through request classification, weight distribution and equipment state check, the response speed and stability of the system are effectively improved, resource distribution is optimized, the method is suitable for video monitoring platforms in multiple scenes such as a monitoring system and an intelligent home system, requests of different priorities can be efficiently processed, stable operation of the system is guaranteed, and user experience is improved.

The present invention relates to the field of chip test data processing technology, and specifically discloses a chip test data processing method, device and storage medium, the method comprising: performing a basic test on a memory to be tested under a preset working environment, marking the memory to be tested that fails the basic test as a defective product, and marking the memory to be tested that passes the basic test as a non-defective product; performing a step-by-step standard test on the non-defective product, comparing the test results with the corresponding level test standards, and obtaining the quality grade of the non-defective product. The present invention performs quality testing on the memory by specifying multiple levels of test standards, ensuring that the memory can run stably and efficiently under different workloads and conditions. The test method of step-by-step standard testing effectively improves the reliability of the memory, reduces the failure rate, and at the same time improves the memory testing effect, thereby providing more specific and targeted product quality information.

The application discloses a kind of hardware atomic jump execution interfaces of wisdom calculation center, belong to wisdom calculation center instruction execution technical field, solve the problem that existing atomic jump instruction is easily interrupted, execution integrity cannot be guaranteed, dependent on software analysis, easily be multi-instruction preemption channel.The interface is exclusive physical interface, with general data instruction interface whole hardware electrical isolation, only for the transmission and execution of hardware level atomic jump instruction;Core includes single instruction whole process physical exclusive hardware channel, atomic instruction hardware identification circuit, non-interruptible hardware execution module;Channel whole process physical exclusive in single instruction execution cycle, without any multiplexing mechanism;Atomic instruction feature code is identified by non-reconfigurable fixed hardware logic, without software pre-intervention port;Execution whole process without any interruption can be broken, can guarantee the uniqueness of instruction execution, non-interruptibility and integrity.The application realizes hardware level atomic jump execution without software dependence, can effectively reduce the probability that instruction is interrupted, tampered, preemption, execution reliability is high, applicable to the accurate and reliable execution scene of wisdom calculation center, supercomputing center bottom hardware instruction.

The present invention proposes a processor with pipeline processing design and an execution path prediction method. The processor with pipeline processing design includes a memory controller, an instruction cache module, a sending unit, a scheduler and an execution unit; the execution path prediction method includes: taking the execution of the instruction as the predicted satisfied condition of the conditional jump; when the instruction with a jump request is read, detecting whether the satisfied condition of the conditional jump corresponding to the conditional jump prediction instruction occurs; when the satisfied condition of the conditional jump does not occur, the pipeline continues to execute the next instruction; when the satisfied condition of the conditional jump occurs, the program pointer moves to the specified position requested by the satisfied conditional jump instruction, and the pipeline continues to execute the instruction from the specified position requested by the conditional jump instruction. The present invention can reduce the effect loss due to incorrect prediction by designing the cache column with a jump address, thereby improving the execution efficiency of the program.

The invention provides an application query frequency adjustment method, electronic equipment and a storage medium. The method is used for adjusting the query frequency of a plurality of application program query system states. The method comprises the following steps: determining a current resource occupancy rate of a processor; when the current resource occupancy rate exceeds a preset occupancy rate threshold value, adjusting the query frequency of at least part of application programs in the multiple application programs based on a target adjustment strategy so as to reduce the resource occupancy rate of the processor; wherein the target adjustment strategy is a strategy for sequentially reducing the query frequency of at least part of application programs in a plurality of application programs on the basis of priorities, preset by a user, of the plurality of application programs; wherein for any two application programs with different priorities in the at least part of adjusted application programs, the query frequency of the application program with the higher priority is smaller than or equal to the query frequency of the application program with the lower priority. The method is helpful for improving the stability of the system.

The invention discloses a load-balanced network service management method and device and a medium. The method comprises the following steps: acquiring an access request sent by a client; analyzing a domain name in the access request to obtain a target access address of the first target cloud server; determining a plurality of second cloud servers according to the target access address; and distributing the access traffic of the first target cloud server to a plurality of second cloud servers, controlling the plurality of second cloud servers to respond to the access request, and providing a cloud service for the client. According to the load-balanced network service management method and device and the medium, the second cloud server is determined by analyzing the domain name, so that load balancing can be realized, and overload of a single cloud server is avoided; through the flow distribution and response control mode, the flexibility and expandability of the system are improved, the requirements of service development are met, and the problems that reasonable flow distribution is difficult to achieve, and overload faults of the cloud server are avoided can be solved.

The invention discloses an efficient data batch processing method and system based on a memory. The system comprises a memory management module, a concurrent processing module, a data flow control module, a data processing module and a monitoring and tuning module. The memory management module allocates a buffer area and a temporary array area in a memory to form a batch queue core storage area; the server stores request data; the concurrent processing module is used for performing parallel service processing on a plurality of service units in a high-concurrency scene; the data flow control module is used for effectively controlling the speed difference between data generation and consumption, keeping a balance state, and setting in a rejection strategy and dynamic adjustment during unbalance; the data processing module is used for selecting an optimal processing strategy and algorithm according to different types of data and business requirements; and the monitoring and tuning module is used for monitoring various indexes of the system and performing health examination, and dynamically adjusting system parameters by analyzing abnormal index data.

The invention discloses a power grid dispatching method and device in a large-machine small-grid power system. The method comprises the following steps: determining that accident reserve capacity should be reserved and performing capacity configuration based on digital feature extraction of power supply points of a power grid and various power generation types in a power system; judging whether the current power system conforms to the characteristics of a large machine and a small network or not based on the output of the current power supply points of various power generation types; if yes, the power grid dispatches the power supply points in the power system to carry out voltage adjustment and / or dispatches the power supply points in the power system to carry out frequency adjustment by utilizing the configured accident reserve capacities of multiple power generation types; and based on the stability control requirement of the frequency dynamic characteristic index of the whole network of the power system, the predicted whole network load and the unit characteristics of each power supply point, the power grid generates an output curve, and sends a power generation scheduling instruction to each power supply point. Through multi-round adjustment of the voltage, the frequency and the power, the safety and the stability of the power system under the large-machine small-network working condition are effectively guaranteed.

The invention relates to the technical field of information retrieval, in particular to a data generation technology full-text retrieval method based on elasticsearch. The innovation point of the scheme lies in how to share generations and how to manage the generations, the business insight is combined with the underlying technology, and the insight and abstraction of metadata are realized. By extracting metadata, complete data driving can be realized. Therefore, the system can support more accurate retrieval of larger-scale data, and the technical problems of low business handling efficiency of business personnel and long retrieval time are solved. And after the full-text retrieval efficiency is improved, the system stability is improved, and the operation cost is reduced.

The invention provides a server exception handling method, which comprises the following steps of: monitoring the running state of a server in real time, and judging whether the server is in an exception state or not through a set monitoring index; when detecting that the server is abnormal, recording abnormal information and generating an abnormal report; executing a corresponding processing strategy according to the exception type; and after the processing is completed, checking the state of the server to ensure that the server recovers normal operation, and recording the exception processing process in a log. Potential problems can be found in advance through a multi-level monitoring and early warning mechanism, and measures can be taken before an exception occurs through an automatic processing mechanism, so that deterioration of the problems is prevented. Through the functions of recording detailed logs and notifying a system administrator in the exception detection and processing process, the management convenience is improved, and the administrator can know the system condition in time and carry out subsequent optimization. The comprehensive early warning and automatic processing mechanism further reduces the demand of manual intervention, and improves the operation and maintenance efficiency.

The invention relates to the technical field of big data processing, and particularly discloses a pipeline data processing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: receiving a first flow data acquisition request, acquiring a corresponding requested party identity identifier according to a first requester identity identifier after the first requester identity identifier passes verification, generating a second flow data acquisition request based on the requested party identity identifier under the condition that the current moment is matched with the target moment, and sending the second flow data acquisition request to a server; sending a second flow data acquisition request to a flow data storage device corresponding to the requested party identity identifier, and receiving flow data corresponding to the requested party identity identifier returned by the flow data storage device after the verification of the requested party identity identifier is passed; and classifying the flow data according to the purpose category of the flow data and the channel information corresponding to the identity identifier of the requested party. By adopting the method, the safety can be improved.

The invention discloses a DDR (Double Data Rate) controller exception handling method, relates to the technical field of DDR controllers, and aims to improve the stability and reliability of a DDR controller and reduce system crash and data loss caused by exceptions. Through a dynamic adjustment strategy and an error recovery mechanism, high data read-write efficiency and accuracy can still be kept under abnormal conditions.

The invention discloses an intelligent auxiliary system based on an instrument sharing platform in the technical field of information, and the system comprises an information collection module which is used for collecting basic information of an instrument sharing platform user and instrument use information; the database module is used for establishing a basic database based on the information acquired by the information acquisition module and managing and optimizing the information of the basic database; the statistical analysis module is used for performing statistical analysis on instrument use condition information and fund account information according to the collected instrument use information; the screening and error correction module is used for carrying out screening and error correction on the instrument use condition information according to the basic database; and the reporting module is used for forming a report form according to the information completing screening and error correction for reporting. The system is intelligent and efficient, the MATLAB is used for constructing a database to count and analyze the instrument use condition information and the required fund account information, intelligent data screening, error correction and reporting are carried out, the working efficiency of statistical analysis is improved, and orderly and efficient operation of an experiment teaching platform is guaranteed.

The present application relates to the field of data management technology, and specifically discloses an industrial database management system. The present application mainly includes: a data acquisition module, a behavior acquisition module, a predicted access module and a data cache module. The data acquisition module is used to collect data generated during the production process and store the data in a hard disk drive. The behavior acquisition module is used to obtain historical access behavior records of different accounts to the database. The predicted access module is used to input the access behavior records into a trained prediction model to obtain predicted access data; the data cache module is used to cache the predicted access data into a preset pre-storage space in the memory. Due to the use of a data cache module, the present application caches the predicted access data into a preset pre-storage space in the memory according to different accounts, and can maximize the use of memory space to enable the system to have the best response speed to ensure the stability and good performance of the system, which is conducive to improving production efficiency and quality.

The invention discloses a wagon balance compliance monitoring method and system based on a monitoring rule, and relates to the technical field of wagon balance compliance monitoring, and the system comprises the following components: an intelligent monitoring algorithm module which carries out the learning and analysis of preprocessed data through employing an advanced machine learning or deep learning algorithm, and carries out the analysis of the data; the module can automatically identify and extract the compliance mode of the wagon balance, the monitoring accuracy and efficiency are improved, the intelligent monitoring algorithm module adopts a neural network model, the compliance mode is automatically learned and identified from a large amount of wagon balance weighing data, the efficiency and accuracy of the system are greatly improved, and the system reliability is improved. And meanwhile, the neural network model has strong data processing capability, can process massive real-time data and extract key information and characteristics from the data, so that the system can monitor the compliance state of the wagon balance in real time and find abnormal or illegal behaviors in time.

The application provides a method for packet cache sorting and extraction based on FPGA, aiming to improve the data packet processing efficiency in high-speed network environment. The method utilizes the parallel processing advantage of FPGA and realizes the reception, preprocessing, classification, cache allocation, sorting and extraction of data packets through a series of logical steps. The core algorithm adopts a score comparison mechanism to calculate the score of each data packet and quickly locate the position of the sorted data packet through cumulative score to achieve efficient extraction. In addition, the application also includes a resource dynamic allocation strategy, which dynamically adjusts resource allocation according to real-time traffic, and a forwarding resource recycling logic to ensure timely recycling and reuse of resources. This technical solution is suitable for network communication systems that require high-speed data processing and forwarding, not only improving the speed and accuracy of data packet processing, but also optimizing the allocation and utilization of FPGA internal resources, reducing system delay, and enhancing the real-time performance and stability of network communication.

The application discloses a kind of based on the dynamic regulation and control method and system of personalized learning path of limited computing resources, including the acquisition student completes the learning interaction when the learning characteristic data, based on the learning characteristic data adopts linear weighting model calculation student's mastery to current knowledge point, constructs finite state automaton, according to the size relationship of the mastery and preset first threshold value, second threshold value, triggers state conversion, and according to current state executes corresponding learning path regulation action.The application guarantees the accuracy of learning condition evaluation under the constraint of limited computing resources, and improves stability.

The embodiment of the invention belongs to the field of mobile application development, and relates to a memory management method for a mine lamp control system, which comprises the following steps: acquiring life cycle change information of a preset component; determining a target component according to the life cycle change information; performing reference monitoring on the target component through a reference queue to obtain a reference condition of the target component; and performing memory management according to the reference condition and the current garbage collection state to obtain a memory management result. The invention further provides a memory management device of the mine lamp control system, computer equipment and a storage medium. According to the invention, the memory management efficiency of the mine lamp control system developed based on the Android system is improved.

Embodiments of the present application relate to the technical field of database, in particular to a SQL precompilation method and device, a server and a storage medium. The SQL precompilation method comprises: obtaining a SQL precompilation request, wherein the SQL precompilation request carries a precompilation statement; detecting whether a global precompilation object corresponding to the precompilation statement exists in a global memory; returning a precompilation success instruction to a client in the case that the global precompilation object corresponding to the precompilation statement exists; and creating a global precompilation object according to the precompilation statement and using the created global precompilation object for precompilation in the case that the global precompilation object corresponding to the precompilation statement does not exist. The SQL precompilation method provided by the embodiments of the present application aims to significantly reduce the memory space occupation while improving the database performance.

The present application relates to the technical field of communication management, and discloses a communication management method, system and storage medium of a distributed module, wherein the method comprises: a first communication management machine acquires monitoring data of multiple sensor devices in real time, and sends the data to a background terminal after packaging; all sensor devices are also connected to a second communication management machine; all sensor devices are traversed; the current sensor device generates monitoring data, and executes a first random algorithm to generate a random monitoring tag; if the random monitoring tag is successfully generated, the current monitoring data is sent to the second communication management machine as the first verification data, and then the next sensor device is traversed; after traversing all devices, the first communication management machine sends all random monitoring tags and reconciliation requests; the second communication management machine acquires the monitoring data corresponding to all random monitoring tags as the second verification data, and performs consistency verification, and if it fails, sends an alarm instruction; and improves the accuracy of substation data transmission.

This utility model discloses a heat dissipation structure for a tabletop dual-burner induction cooker, relating to the field of kitchen appliance technology. The heat dissipation structure includes a shell, a heating mechanism, a printed circuit board assembly, and a heat dissipation mechanism. The shell has a receiving cavity and an air inlet and an air outlet respectively communicating with the receiving cavity. The heating mechanism includes a first coil and a second coil. The heat dissipation mechanism and the shell enclose a guide air duct communicating with the air inlet. The heat dissipation mechanism includes an axial fan disposed within the guide air duct. The guide air duct has multiple air vents, including a first air vent, a second air vent, and a third air vent. This utility model's technical solution, by employing a single axial fan and multiple air vents, optimizes the overall layout, ensuring efficient heat dissipation while reducing the number of parts and complex assembly steps such as related fasteners and wiring. This significantly simplifies the assembly process and reduces manufacturing costs and process difficulty.

The present invention relates to the field of financial service technology, and in particular to a testing method and system based on the stability of a financial environment. The method comprises the following steps: real-time status monitoring of a financial transaction system to generate basic system status data; constructing a virtual test environment based on the basic system status data, and performing adaptive configuration of test scenarios to generate test environment parameter data; performing multi-dimensional stress test analysis on the test environment parameter data, and calculating system stability indicators to generate stability benchmark data; performing dynamic load gradient processing based on the stability benchmark data to obtain system pressure gradient data; performing risk level mapping on the system pressure gradient data to generate risk assessment mapping data. By constructing a virtual test environment and performing adaptive configuration, the present invention can simulate real transaction scenarios, improve the relevance and effectiveness of the test, and ensure the stable operation of the system under different stress conditions.

The invention provides an intelligent medical digital operating room service system and an application method, and relates to the technical field of digital integration, the service system comprises a main server, the main server is connected with a patient information management platform, an equipment management platform, a display platform and a sub-server, and information interaction is carried out through the main server; the patient information management platform stores patient information including a telephone, an operation plan and operation time; an operation task is generated at the operation time, and patient information is called and transmitted to the main server; the equipment management platform obtains intra-operative equipment involved in the operation scheme from the patient information, obtains the state and the intra-operative image of the intra-operative equipment, gives an alarm when the state is abnormal, and transmits the intra-operative image to the main server; the sub-server receives and stores the intraoperative image, and transmits the intraoperative image to the corresponding film and television terminal when receiving the access request; the display platform receives and displays the patient information and the intraoperative image.