46results about How to "Improve execution success rate" patented technology

The invention discloses a substation, a terminal and a system for collecting the information of electricity consumption. The system comprises a master station, a substation and a terminal, wherein the substation consists of an OLT (optical line terminal) as network equipment and a POS (passive optical splitter); and the terminal consists of an ONU (optical network unit) and an electric energy meter. The OLT receives and resolves a command issued by the master station, and sends the resolved identifier of a target electric energy meter and the control information to the ONU through the POS on optical fiber; the ONU collects the information of electricity consumption from the electric energy meter corresponding to the identifier of the target electric energy meter according to the received control information; and the ONU sends the information of electricity consumption to the OLT through the POS on the optical fiber after the information collection, and the OLT further uploads the information of electricity consumption to the master station, so as to complete the entire process of information collection. By applying the technical scheme, the invention substitutes the optical network for the complex original local network, thus optimizing the network structure and further reducing the complexity of the system for collecting the information of electricity consumption.

The embodiment of the invention provides a distributed transaction processing method and device and a storage medium. In some embodiments of the invention, the method comprises the steps of receiving a distributed transaction starting request sent by a transaction request end by distributed transaction processing equipment; according to the starting request, obtaining an execution sequence of a plurality of pre-configured sub-processes; according to the execution sequence of the plurality of sub-processes, executing the plurality of sub-processes in sequence; adding a condition for judging whether a retry is met after execution of a target sub-process fails, executing retry operation on the target sub-process under the condition of meeting the retry condition, adding a condition for judging whether a rollback condition is met or not after execution of the sub-process fails, and executing retry operation on the target sub-process under the condition of meeting the rollback condition, reversely executing the rollback operation of all the executed sub-processes from the target sub-process, so that the probability of successful execution of the distributed transaction is increased, the probability of data inconsistency caused by instability of the distributed system is reduced, the self-healing capability of the distributed system in a fault scene is improved, and the execution efficiency of the transaction is improved.

The invention discloses an automatic process execution method and device, equipment and a readable storage medium, and relates to the field of financial science and technology, and the method comprises the steps: obtaining multi-modal data corresponding to a terminal, and enabling the multi-modal data to serve as the input of a deep learning model, so as to obtain an intention analysis model; determining a behavior intention corresponding to an automation process in the terminal through the intention analysis model; and executing a target operation instruction corresponding to the automation process according to the behavior intention so as to execute the automation process. According to the invention, the behavior intention corresponding to the automatic process is analyzed through the intention analysis model; the automated process is executed according to the behavior intention, and the situation that the automated process fails to be executed due to the change of the execution environment corresponding to the automated process is avoided, so that the adaptability of the automated process to different execution environments is improved, namely, the adaptability of the automatedprocess is improved, and the execution success rate of the automated process is increased.

The invention discloses a voice control method and device, a storage medium and an air conditioner. The voice control method comprises the following steps: determining whether equipment to be controlled successfully executes the current voice instruction of a user or not; if execution is unsuccessful, analyzing reasons for the unsuccessful execution to obtain an analysis result; adjusting the current voice instruction according to the analysis result so as to execute an adjusted current voice instruction. According to a scheme adopted by the invention, the problem that the execution result isaffected by many factors so as to cause the unsuccessful execution of the voice instruction in the process of executing the voice instruction by a voice system can be solved, and the effect of increasing the success rate of the voice instruction execution is achieved.

The invention discloses a request processing optimization method and a computer readable storage medium. The method comprises the following steps: creating a first-in first-out queue and a first-in second-out queue; when the server has a request timeout condition or reaches an upper limit of a task processing quantity, obtaining a CPU occupancy rate or a message processing speed of equipment wherethe server is located; if the CPU occupancy rate does not reach a preset first threshold value or the message processing speed reaches a preset second threshold value, writing the received task message into the first-in first-out queue; and if the CPU occupancy rate reaches a preset first threshold or the message processing speed does not reach a preset second threshold, writing the received taskmessage into the first-in last-out queue. The request success rate can be improved.

The invention discloses a mobile service combination selection method considering temporal constraints. The method includes the following steps that real-time information of a mobile service provider is collected; according to the information provided by the service provider, a probability mobile model of the service provider is established; according to the user requirements, a service combination quality constraint and temporal constraint model is established; based on a multi-constraint optimization method of a differential evolution method, combination optimization is conducted, and a selection policy of service combinations is acquired. According to the mobile service combination selection method considering the temporal constraints, the service information of the mobile service provider is collected and counted, the probability mobile model for the mobile service provider is established, according to service combination quality and temporal constraints provided by users, combination optimization is conducted by the adoption of the multi-constraint optimization algorithm based on differential evolution, and the mobile service combinations with the higher execution success rate are acquired. Thus, the problem that only services in the traditional internet are combined, so that a method cannot be directly applied to a mobile environment is solved.

The invention relates to Internet of Vehicles task unloading based on service priorities. The method comprises the following steps: receiving a first task unloading request sent by a vehicle terminal in the coverage range of the RSU through the RSU in real time, wherein the first task unloading request is a task unloading request sent for the first time when the vehicle terminal enters the coverage range of the RSU; according to the first task unloading request, distributing a weight for the first task unloading request, and determining a task priority of the first task unloading request; according to the task priority of the first task unloading request, determining a currently accepted unloading task, processing the currently accepted unloading task, and feeding back to the corresponding vehicle terminal; according to the task priority of the first task unloading request, generating an unloading strategy according to a deep learning network, and generating a reward value; and sending the unloading strategy to the vehicle terminals in the coverage range of the RSU, so that each vehicle terminal performs data transmission of task unloading through the RSU according to the unloading strategy, and the calculation task execution success probability is improved.

The embodiment of the invention discloses a rating method and device of a task executor, computer equipment and a storage medium. The method comprises the following steps: determining a weight value of each performance parameter in a plurality of performance parameters pre-selected in the executor; calculating an execution score of the actuator during task execution according to the weight value;rating the actuator according to the execution score; and sending the level of the actuator to a scheduler in the form of heartbeat information. According to the method, the abnormal executor can be better found, task failure caused by the abnormity of the executor is avoided, and therefore the execution success rate of the task is increased.

The embodiment of the invention discloses an unmanned surface vehicle platform health management method and system based on multi-source data, and the method is applied to an unmanned surface vehicleend, and comprises the steps: obtaining the related data information of an unmanned surface vehicle related to task execution; performing data processing on the related data information to obtain processing result information; analyzing each piece of sub-processing result information in the processing result information, and carrying out abnormality judgment on the obtained power system analysis result, navigation system analysis result, environment system analysis result and task system analysis result; performing comprehensive analysis in combination with the power system analysis result, the navigation system analysis result, the environment system analysis result and the task system analysis result to obtain an overall analysis result; generating temporary decision information; and sending all the ship end data to the shore-based end to receive decision information generated after the shore-based end analyzes and processes the ship end data, and executing the decision information;and achieving autonomous basic judgment, and making an autonomous decision according to a judgment rule and a result.

The invention discloses an event processing method and a device, which are applied to a terminal. Various states of an application in the terminal and expected events under the states are arranged in the terminal. The event processing method comprises the following steps: when a downlink event of a server is received by the terminal, judging whether the downlink event is the expected event under the state by the terminal according to the state of the application of a present service of the terminal, and if the downlink event is the expected event under the state, sending the downlink event to the application and updating the state of the application. The event processing method and device can be used for increasing an executing success rate of a terminal service.

A method for denoising and classifying task point A system, a terminal device and a storage medium, As that initial task point in the distribution map of the task points to be proces are traversed, the number of task points of other task point within a preset range corresponding to the traversed current initial task points is obtained, and the target task points whose number of task points is larger than a preset number threshold value are selected as the initial center points from the initial task points; Each initial center point is treated as a category, the target distances between each initial task point and each initial center point are obtained respectively, and clustering each initial task point with the shortest target distance as a clustering condition, In order to achieve the classification of the initial task points, it can reduce the influence of human subjective factors, improve the accuracy of the classification of task points, and then improve the success rate of marketresearch tasks and task processing speed and efficiency, and can achieve the expected commodity market survey effect, and improve the user experience.

The invention discloses a task distribution method, a system, terminal equipment and a storage medium. By obtaining the geographic position information of the current user terminal, the method comprises searching a plurality of executable task points in a preset receiving order range, determining the current task area to which each executable task point belongs, and obtaining an initial price adjustment factor of the current task area; the initial price adjustment factor being iteratively optimized by using a bee colony algorithm and a genetic algorithm to obtain a target price adjustment factor; calculating a task reward number of the current task according to the target price adjustment factor and the target distance, and performing task assignment according to the selection instruction.The execution success rate of the market survey task is improved, and the task for collecting commodity information is quickly assigned, thereby improving the processing speed and efficiency of the task, achieving the expected commodity market survey effect, and improving the user experience.

An embodiment of the invention discloses a data processing method, a data processing device, node equipment and a storage medium. The data processing method comprises the steps of: acquiring a transaction data set when an execution event of first transaction data is detected, wherein the transaction data set comprises a plurality of pieces of transaction data and an association relation among theplurality of pieces of transaction data; acquiring second transaction data associated with the first transaction data from the transaction data set according to the association relationship; acquiringexecution information of the second transaction data; determining a target execution mode of the first transaction data according to the execution information of the second transaction data; and executing the first transaction data according to the determined target execution mode of the first transaction data. Therefore, successful execution of the transaction data can be ensured, and the processing efficiency of the transaction data can be improved.

The invention discloses an operation execution method and apparatus, and a terminal, and belongs to the field of mobile terminals. The method comprises the following steps: the terminal receives a remote control instruction sent by a server, wherein the remote control instruction is used for indicating to execute and search a remote control operation related to the terminal; the terminal executes the remote control instruction according to the remote control instruction; and the terminal receives a control operation of a user, wherein the control operation is used for sending a control instruction to a terminal triggered user, and if the terminal does not execute the remote control operation, the terminal inhibits to make response to the user control instruction. By adoption of the operation execution method and apparatus, the user control instruction triggered by malicious personnel is prohibited from being responded, the normal execution of the remote control operation is not affected, therefore the problem that the problem that the remote control process is vulnerable to the interference of the malicious personnel in related art is solved, and the execution success rate of the remote control operation is improved.

The invention discloses a task scheduling method and device and electronic device. The method comprises the steps: after a task request of a first task is received, scheduling the first task to a fifth task block to wait for scheduling, and continuously detecting whether the number of tasks being executed in a second task block is smaller than the preset maximum concurrency or not; if the concurrency is smaller than the preset maximum concurrency, calling a second task from other task blocks to a second task block, and executing the second task, so that the received tasks are firstly stored in a fifth task block for queuing, and when the number of the tasks being executed in the second task block is smaller than the preset maximum concurrency, calling a task from other task blocks. Therefore, according to the embodiment, through a queuing mechanism and a maximum concurrency control mechanism, reasonable utilization of resources is guaranteed, the situation of downtime due to the fact that the resources are exceeded is avoided, and the probability of successful task execution is improved.

The invention relates to the technical field of computers, and discloses a timed task execution method, which comprises the following steps of: executing each timed task in a predetermined timed task set; when the occurrence of the abnormal timed tasks is detected, creating a corresponding compensation timed task for each abnormal timed task; determining a compensation frequency corresponding to each compensation timing task; and executing the compensation timed task according to the compensation frequency corresponding to each compensation timed task so as to realize re-execution of each abnormal timed task. It can be seen that after the timed task is executed, whether the execution process of the timed task is abnormal or not is detected, and if yes, the compensation timed task corresponding to the timed task is created and executed, so that compensation execution of the timed task can be achieved, and different compensation execution frequencies can be used for different timed tasks; the execution success rate of the timed task is improved, and the stability and reliability of computer system operation are improved.