222results about How to "Effective execution" patented technology

The invention discloses an order form data processing method and device. The method comprises the following steps of: receiving an order form cancelling request; obtaining order form data corresponding to the order form cancelling request, wherein the order form data comprises an order form number, an order form state and the current processing link of the order form; according to the order form data, establishing order form cancelling task data, wherein the order form cancelling task data comprises the order form number, the order form state and the current processing link of the order form; when the order form state in the order form cancelling task data is a preset retractable order form state, pushing the order form cancelling task data to a business server corresponding to the current processing link of the order form to cause the business sever to execute an order form cancelling task according to the order form cancelling task data; and receiving an execution result sent when the business server responds to the order form cancelling task data, and updating the order form cancelling task data according to the execution result to obtain order form data. By use of the order form data processing method and device provided by the invention, order form data processing efficiency is improved.

A scheme for Medium Access Control (MAC) Protocol Data Unit (PDU) signaling includes the steps of receiving, from a Machine-Type Communication (MTC) device, a random access preamble; sending, to the MTC device, a random access response that includes a MAC PDU having a MAC header that includes information for MTC support; receiving, from the MTC device, a scheduled transmission; and performing contention resolution with the MTC device. The information for MTC support can be achieved by: (1) the MAC PDU structure being modified to include a new section used for MTC devices to identify the congestion status of MTC family; (2) providing the backoff control (BOC) with a new sequence of a large-scale backoff interval (BI); (3) changing the random access (RA) procedure for MTC devices; or (4) performing toggling or switching between access class barring (ACB) and backoff control (BOC).

The invention relates to a low-expense block synchronous method supporting a multi-core assisting thread, which belongs to the technical field of multi-core computers. The method reduces data missing in the execution of a calculation thread, reduces the pollution to a shared cache, improves the execution performance of the calculation thread and achieves heteronuclear synergic irregular data push by introducing a mechanism of pre-acting and low-expense block synchronization and cycle control for a prefetch assisting thread aiming at the problem of irregular data missing in multi-core application on the basis of a multi-core structure for the sharing cache. The method can be widely applied to optimizing a multi-core compiler and the database performance in the future.

Disclosed is a self-adapting method for facing the agent programming computing tasks in a grid environment; the method is based on the existing open grid system structure and supports the management and movement of the agent by deploying an agent management service, an agent information service and a GA Container; the agent management service and the agent information service are two grid services which meet the FIPA and WSRF norms. By expanding the existing grid operation types, namely, increasing a new operation type <AGENT>, the invention enables the creating process of a service agent and the creating process of the existing grid task to be completely compatible; at the same time, through the defining of the tasks facing the agent programming, as well as the movement and positioning process of the agent, the agent task is self-adaptive to the changes of grid environment and intelligent mobile decision.

The invention provides a method and a system for correcting a magnetic pole position of a motor rotor based on an incremental encoder, and a medium. The method comprises the steps of firstly, acquiring a given correction value; then acquiring a counting value at a current moment, wherein the counting value aims at the current moment; when a QEP circuit detects that a Z pulse signal of the incremental encoder is output, counting an output frequency of an AB pulse signal of the incremental encoder by the counter; obtaining a compensation amount according to the given correction value and the counting value at the current moment; according to the compensation amount, calculating a correct counting value at the next moment; and finally outputting the correct magnetic pole position of the motorrotor according to the correct counting value at the next moment. The counting value at the current moment is compared with the given correction value to obtain the compensation amount, and the compensation amount is used for compensating and correcting a position deviation, so that effective execution of normal logic of a motor is ensured.

The present invention relates to a method for detecting leaks in an intake manifold. Methods and systems are provided for detecting leaks in the intake manifold of an engine. In one example, a method may include closing all intake valves of all cylinders of the engine during an engine shut down responsive to vacuum in the intake manifold reaching a pre-determined vacuum level. The method may further include indicating a leak in the intake manifold responsive to a change in a level of vacuum in the intake manifold after closing all the intake valves of all cylinders.

The invention provides a cascade hydropower station short-term robust scheduling method coupling daily electric quantity decomposition and day-ahead market bidding, and the method comprises the steps:building a deterministic hydropower short-term optimal scheduling model by taking the maximum total income of a cascade hydropower station as a target; converting the deterministic short-term optimization scheduling model into a robust scheduling model considering the uncertainty of the electricity price; and solving by adopting a mixed integer nonlinear programming method. According to the method, the daily electric quantity of the cascade hydropower station can be scientifically and reasonably decomposed into the electric power curve, effective execution of the daily contract is guaranteed,the declared quantity-price pair participating in the day-ahead spot market is obtained, and the obtained scheduling result of the cascade hydropower station has robustness and is reflected in that when the clearing price is within the estimated price information gap, the method can guarantee that the expected target is not worse than a certain minimum preset result, can quantitatively describe the relation between the uncertain parameter change range and the minimum acceptable target, and can provide a more flexible and intuitive scheduling and transaction decision basis for decision makersof cascade hydropower enterprises with disgusting risks.

Provided is a heat exchanger. The heat exchanger includes a plurality of refrigerant tubes in which a refrigerant flows, a heatsink fin coupled to the plurality of refrigerant tubes to heat-exchange the refrigerant with a fluid, a header disposed on at least one side of the plurality of refrigerant tubes to define a flow space of the refrigerant and a guide device disposed in the header to partition the flow space, the guide device guiding the refrigerant from the header to the refrigerant tubes. The guide device includes a movable cover part.

The invention discloses a task scheduling method. The method comprises the steps of obtaining a to-be-executed task and a task type corresponding to the to-be-executed task; calling a task execution node for executing the to-be-executed task according to the task type; and sending the to-be-executed task to the task execution node, so as to enable the task execution node to execute the to-be-executed task. According to the embodiment of the invention, a scheduling task and an execution task are separated; the scheduling application only performs the task scheduling function, and the executionapplication only performs the task execution function, so that each application can be independently deployed, the dynamic expansion of each application can be performed, the complexity and redundancyof a task system are reduced, the scheduling performance of the task system is improved, the effective execution of the task is ensured, and the execution efficiency of the task is improved. The invention further provides a task scheduling device, a task scheduling system and a computer readable storage medium.

There is provided with a method for enabling a user equipment to perform a random access procedure in a wireless communication system. The method includes transmitting a random access preamble and receiving a random access response as a response to the random access preamble. The random access response is addressed by a random access identifier. The random access identifier is mapped to radio resources used for transmitting the random access preamble. The user equipment can immediately confirm its random access response and perform further efficient random access procedure.

The invention provides a system and method for rescue organization base on an improved ant colony algorithm. The system comprises: an application interface module, a sensor information acquisition module, a comprehensive analysis module, a rescue material management module, and a network transmission module, the comprehensive analysis module analyzes and processes the current rescue information obtained by the application interface module and the perceptual information obtained by the sensor information collection module, and adopts ant colony algorithm to plan the rescue route between the rescue point and the rescue site; the relief material management module transfers the relief materials and obtains the current use information of the relief materials; the network transmission module synchronously stores the current rescue information, perception information, rescue routing, and the current use information of rescue materials to the cloud. The invention can coordinate a plurality ofrescue points and the material dispatching of the rescue site, improve the dispatching speed of the rescue material, reduce the waste of human resources, and enable the rescue scheme to be effectivelyexecuted.

Disclosed is a method for discovering a primary device (PD) of electric vehicle supply equipment (EVSE). A method performed by a discovery apparatus of an electric vehicle (EV) includes: receiving a first transmit signal including a first network identifier from at least one of a supply equipment communication controller (SECC) of a charging station into which the EV enters and a plurality of PDs which are managed by the SECC and respectively located in positions corresponding to a plurality of charging spots of the charging station; transmitting a first connection request signal based on the first network identifier to the SECC; configuring a first wireless network with the SECC after receiving a first response to the first connection request signal from the SECC; receiving information relating to second network identifiers for the plurality of PDs from the SECC through the first wireless network; receiving second transmit signals including the second network identifiers from the plurality of PDs when the first wireless network is released; selecting a specific PD among the plurality of PDs based on received signal strengths of the second transmit signals; and configuring a second wireless network with the specific PD.

The invention relates to the field of unmanned aerial vehicles, in particular to an adaptive decision-making method for an unmanned aerial vehicle in response to the harsh environment, and the corresponding unmanned aerial vehicle. The adaptive decision-making method comprises the steps that the meteorological conditions within the preset range of the unmanned aerial vehicle are detected based ona sensor pre-arranged on the unmanned aerial vehicle, and the meteorological conditions are converted into corresponding meteorological data; the meteorological data are guided into a harsh meteorological condition mathematical model, and the threat degree of the meteorological conditions to the unmanned aerial vehicle is calculated by combining with the flight parameters of the unmanned aerial vehicle; and the flight mission of the unmanned aerial vehicle is evaluated by an artificial intelligence expert system according to the threat degree, corresponding execution strategies of the unmannedaerial vehicle are obtained, and the unmanned aerial vehicle is controlled to conduct mission re-planning according to the execution strategies. The unmanned aerial vehicle can make decisions autonomously during encountering the harsh environment, especially the harsh meteorological conditions, and thus the unmanned aerial vehicle can better complete flight operation.