32 results about "Online strategy" patented technology

The invention discloses an online strategy optimization calculating method for electric system transient state safety and stability emergency control, and belongs to the technical field of electric system emergency control. According to the online strategy optimization calculating method for the electric system transient state safety and stability emergency control, based on a transient state safety and stability quantitative analysis theory, control performance index calculation methods of direct current system power emergency modulation, generator removal, load removal and partial power grid disconnection are proposed with control measure cost and control effects taken into consideration; according to different characteristics of safety and stability problems of transient state power angles, voltages and frequency, control measures are selected in a candidate control measure space according to control performance indexes from large to small; corresponding active power control measures are further matched according to steady state frequency estimated values after control, calculation and transient state safety and stability quantitative evaluation of the control measures are further carried out, and the control measures are increased continuously through iteration. The online strategy optimization calculating method for the electric system transient state safety and stability emergency control overcomes the defects in an existing online strategy optimization calculating method for the transient state safety and stability emergency control and meets the actual demands of the online strategy optimization calculation for the large power grid transient state safety and stability emergency control.

Customer online data is collected via script on customer computers and is communicated to a server hosted by an organization, such as a card issuer. The customer online data communicated to the server is non-personally identifiable information (non-PII). In turn, the server aggregates the non-PII customer online data from the set of participating merchants. The server associates the received non-PII customer online data with non-PII demographic data. Other non-PII transaction data, such as previous transactions processed at a card issuer, also can be associated with the non-PII customer online data and non-PII demographic data. These associations are, in turn, used to create reports and to provide services to help merchants or other requesting organizations develop online strategies to drive click thru and conversion rates.

Customer online data is collected via script on customer computers and is communicated to a server hosted by an organization, such as a card issuer. The customer online data communicated to the server is non-personally identifiable information (non-PII). In turn, the server aggregates the non-PII customer online data from the set of participating merchants. The server associates the received non-PII customer online data with non-PII demographic data. Other non-PII transaction data, such as previous transactions processed at a card issuer, also can be associated with the non-PII customer online data and non-PII demographic data. These associations are, in turn, used to create reports and to provide services to help merchants or other requesting organizations develop online strategies to drive click thru and conversion rates.

The invention discloses a power system security and stability adaptive emergency control system and a method in order to solve the technical problem in existing adaptive emergency control that an emergency control online strategy aiming at the running state before the fault time is adopted, the running time corresponding to the strategy is always earlier than the fault time, and the practicability of the strategy can hardly meet the engineering requirements. According to the adaptive emergency control method of the invention, emergency control optimization decision calculation is carried out for the future running state, so that there are emergency control optimization strategies corresponding to a period before and a period after the fault time respectively. When the 'mode word' used to search an offline strategy at the fault time is the same with the 'mode words' of the emergency control optimization strategies at two time moments before and after the fault time respectively and close to the fault time, the union set of the emergency control optimization strategies at the two time moments is used as an adaptive emergency control strategy at the fault time. Organic unity between control precision and reliability is realized, and the engineering practicability is improved.

The invention discloses a power grid frequency adaptive emergency control method based on power transmission section limits and belongs to the electric power system safety stabilization control technology field. According to the method, controllable measures are grouped according to unit active control cost and power transmission section active sensitivity, the minimum control cost is the goal, on the condition that the total offline measure quantity is unchanged, based on power transmission section safety stabilization limit constraints, controlled variables of each controllable measure group are calculated, and the controllable measure groups and the corresponding controlled variables are decomposed to acquire specific controllable measures and the corresponding controlled variables which are taken as online emergency control strategies. The method is advantaged in that through check after fault on online strategy timeliness, control system pressure plate state consistency and a total online measure quantity and total offline measure quantity deviation degree, online strategy and offline strategy selection is carried out, and power grid frequency adaptive emergency control is realized.

The invention relates to an engine heat management controller and an online strategy configuration method. The engine heat management controller consists of a CPU (Central Processing unit), a non-volatile storage system, a communication system, an information acquisition system and a control output system, wherein the CPU unit is connected with the non-volatile storage system, the communication system, the information acquisition system and the control output system respectively. Through the online configuration function of the engine heat management controller, a complete circulation and iteration process ranging from strategy configuration, strategy resolving and effectiveness, control result monitoring and reconfiguration after the completion of strategy modification can be constructed, a final optical heat management strategy can be found very conveniently, and an optical effect of the heat management system is developed.

The invention discloses a method and a device for checking a strategy definite value of a stability control system. The method comprises the following steps: (1) judging whether a communication channel between a dispatching end and the stability control system is normal or not; (2) judging whether the stability control system operates normally or not, generating a stability control online definite value list according to normally operating data, and simultaneously calculating a comprehensive fragile degree index of the system, and determining a fragile circuit appearing due to tide change according to the comprehensive fragile degree index; (3) measuring uploading information in real time according to the site stability control system, and updating an online definite value strategy of the site stability control device in combination with a tide level of the fragile circuit in step (2); and (4) judging whether the stability control online definite value list generated in step (2) and the online definite value strategy updated in step (3) meet effectiveness checking or not, and determining whether an updating strategy command is transmitted to the stability control system or not. The reliability of the stability control system for using an online strategy definite value is improved, and technical support is provided for safe and stable operation of a power grid.

The invention discloses a frequency stability adaptive emergency control method for a high-capacity multi-infeed DC power grid. The influences of the heat storage capacity of a boiler, main steam pressure of a steam turbine, an operation mode of a CCS and parameter setting of a speed regulating system on the frequency modulation ability of a thermal power unit are simulated through a pressure feedback link, a flow change link and a valve opening limiting link in an electromechanical transient simulation process; different power vacancies are simulated through DC blocking and DC power emergencyreduction and the power vacancy corresponding to frequency stability critical safety is calculated; the total power control amount of emergency control measures during action within given time is calculated according to an SFR model; and the electric quantity of primary frequency modulation of the system is calculated according to the operating conditions of the thermal power unit at the calculation moment and the current moment separately and the effective state of an online strategy in a safety control system is updated in real time.

The invention discloses a method for generating a fault defense online strategy table adapted to equipment switch-out, and an online safety and stability emergency control method and system. The method comprises, based on the current operating state of a power grid and in combination with scheduling plan information, performing power flow calculation on the associated equipment defined by an offline strategy table mode; generating the expected state of the power grid after the associated equipment is switched out; and calculating the emergency control strategy for defensive failures for each expected state of the power grid, so that when the fault occurs, each piece of the associated equipment has a corresponding online emergency control strategy under different switch-out states. Withoutdecreasing the speed and accuracy of decision, the method solves the problem of mismatch of online emergency control strategy with respect to the change of equipment switch-out by generating multiplegroups of online strategies that cover the switch-out status of the grid equipment in a strategic way, and improves the adaptability and reliability of the online emergency control strategy, meets thepractical requirements of online emergency control.

A closed loop self-adapting emergency control method of power pool' centralized harmonization and hierarchy control' is disclosed, which adopts the quadrilayer structure of a dispatching center station, a control main station, a control sub-station and a control execution station from top to bottom, including the following control steps: 1. safely and stably controlling the system uploading operation data to the dispatching center station; 2. controlling the decision-making computation by the dispatching center station to obtain the online strategy table; 3. sending down the online strategy to the control main station by the dispatching center station and furthermore sending down to the related control sub-station by the control main station; 4.judging the failure and the overload according to the related failure and the overloading criterion by the control sub-station and the execution station; 5. transmitting the failure information to the upper control station layer by layer by the control sub-station and the execution station; 6. performing the failure combination match by the control main station; 7. sending the cutting machine and the cutting load command tot he corresponding control sub-station by the control main station; 8. reprocessing and transmitting to the execution station by the control sub-station; 9. cutting machine and cutting load exit by the execution station.

The embodiment of the invention provides a method and device for pushing rights and interests. The method and the device can be generally used in various business scenes of to-be-pushed rights and interests. According to the method, thoughts of meta learning and reinforcement learning are combined, different business scenes serve as tasks of meta learning, and a machine learning scheme of a multi-scene dynamic decision optimal strategy is obtained by combining advantage design of reinforcement learning long-term income maximization decision, so that activity modeling of a short period and a new business scene becomes possible. During online operation, the service coding network adopts an online strategy, only a small amount of service data is needed to quickly adapt to a new service scene, a coding representation carrying service scene information is obtained, decision-making of the pushing strategy is carried out based on the coding representation, and the relevance between the pushing strategy and the service scene is further improved. The network parameters in the intelligent agent can also be updated by adopting an off-line strategy, so that the availability of the model is improved.

The invention discloses a method and a system for synchronously updating online strategy definite values. The method comprises the following steps: when the time interval of every two adjacent onlinestrategy definite value calculations of safety control systems is greater than a critical value at a dispatching end, calculating the online strategy definite values corresponding to the safety control systems at the dispatching end, and sending definite value generating moment T0, invalid moment Tt and respectively corresponding online strategy definite value lists to the safety control systems;determining that respective online strategy definite values are received by each buffer area of the safety control systems at the dispatching end, determining that the online strategy definite valuesof the safety control systems meet validity checking respectively, and when the absolute time t of the safety control systems is in advance of invalid moment Tt, controlling each safety control systemto be completely updated into checked online strategy definite values after handover delay delta T is met. According to the method disclosed by the invention, time marks are taken as references, thereliability of the online definite values is checked, and the synchronism for the online definite values of the large-scale safety control system is also guaranteed.

The embodiment of the invention discloses a method and system for strategy updating. The method comprises the steps of determining a to-be-online strategy issuing the to-be-online strategy to at least two target machines, wherein original strategies run on the at least two target machines; and judging whether the to-be-online strategy is successfully online on each of the at least two target machines, and if the to-be-online strategy is not successfully online on at least one of the at least two target machines, sending a rollback instruction to enable each of the at least two target machinesto roll back to the original strategy.

The invention provides a safety and stability control system online strategy constant value checking method; an off-line strategy is formulated under the consideration of the operation mode by an operator, however, when the actual power grid encounters certain extreme operation modes, failure of the off-line voltage stabilization strategy is caused; the off-line strategy is made based on certain specific faults, and if some multiple successive faults occur in the power grid, a strategy table is caused to be mismatched, and the power grid suffers from a instability risk; the off-line strategy is not an optimal value for some operation modes, and over-cutting and poor economic performance in actual operation are caused; and the off-line strategy making work is complex, so that an operator which is rich in experience is needed in analysis, gathering and classification processes, and the operator faces great challenges. According to the method, the online strategy constant value is checkedfor many times from different aspects, so that the reliability of using the online strategy constant value of the stable control system is improved, and a technical guarantee is provided for safe andstable operation of the power grid.

The invention provides a ZigBee terminal device re-online method and a ZigBee terminal device. The method comprises the following steps: when the ZigBee terminal equipment fails to be online again, entering first sleep; when the ZigBee terminal equipment finishes the first sleep, determining a re-online strategy according to a re-online attempt result of the ZigBee terminal equipment before entering the first sleep, wherein when the re-online attempt result indicates that the potential father node exists, the re-online strategy is to request to access the potential father node indicated by there-online attempt result.

Embodiments of the invention provide a strategy recommendation method and device. The method comprises the steps of obtaining data of a risk event and data of an audit event hit by an online strategy;calculating the similarity between the risk event and each audit event according to the data of the risk event and the data of each audit event; and determining a recommendation strategy close to therisk event in online strategies according to the similarity between the risk event and each audit event and in combination with the online strategy hitting each audit event. The embodiment of the invention provides a mode of automatically determining the recommendation strategy, the efficiency and accuracy of determining the recommendation strategy are greatly improved, and the labor cost is reduced.

The invention discloses an energy-efficient wireless transmission method for scalable video coding real-time streaming media. The energy-efficient wireless transmission method is characterized by comprising the following steps: implementing selective transmission control on a streaming media scalable coding layer based on channel state estimation with random errors; carrying out performance analysis and strategy optimization based on partially observable Markov decision processes; and adaptively optimizing a transmission control strategy of the coding layer by using an online strategy iteration algorithm. According to the energy-efficient wireless transmission method disclosed by the invention, the optimization of the transmission energy efficiency can be achieved based on adaptive regulation of the traffic through the selective transmission of the video coding layer, and thus the quality QoS of the real-time streaming media video can be ensured, and the transmission energy efficiency can also be effectively increased.

The invention discloses a fault defense online strategy table generation method adapted to equipment switching, an online security and stability emergency control method and system, based on the current operating state of the power grid and combined with scheduling plan information to perform power flow calculation on associated equipment defined in the offline strategy table , to generate the expected state of the power grid after the associated equipment is switched on and off, and calculate the emergency control strategy for preventing faults according to the expected state of each grid, so that when a fault occurs, each associated equipment has a corresponding online emergency control strategy in different states of switching on and off. On the premise of not sacrificing decision-making speed and accuracy, the present invention solves the mismatch problem of online emergency control strategies for equipment switching and withdrawal changes by generating multiple groups of online strategies covering the switching and withdrawing status of related grid equipment in the strategy mode, and improves the online emergency control strategy. The adaptability and reliability of the control strategy meet the practical requirements of online emergency control.

The invention discloses a high-energy-efficiency scalable video coding real-time streaming media wireless transmission method, which is characterized by: performing selection and transmission control of the streaming media scalable coding layer based on channel state estimation with random errors; based on partly considerable Markov decision-making The process model is used for performance analysis and strategy optimization; the online strategy iteration algorithm is used for adaptive optimization of the transmission control strategy of the coding layer. The present invention can realize the optimization of transmission energy efficiency by adaptive adjustment of traffic through the selective transmission of the video coding layer, thereby effectively improving the transmission energy efficiency while ensuring the quality QoS of real-time streaming media video.

The embodiment of the invention discloses an online strategy adjustment method and device, equipment and a medium, and relates to the technical field of big data and information flow. The method comprises the steps of displaying selectable configuration items of an online strategy based on an online strategy template; obtaining a calculation mode and mode parameters of an online strategy input based on the selectable configuration item; determining a measurement and calculation task according to the calculation mode and mode parameters of the online strategy and a target measurement and calculation object; and according to the calculation task, calculating offline platform data of the target calculation object to obtain a calculation result of the online strategy. According to the embodiment of the invention, for the online strategy, the online strategy is allowed to be automatically configured in a configuration item selectable manner, and the measurement and calculation task can be generated to quickly obtain the measurement and calculation result, so that the adjustment manner of the online strategy of the information interaction platform is optimized, and the landing response speed is increased.

The invention provides a workshop scheduling method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining a production state parameter of a workshop, and obtaining a state feature matrix based on the production state parameter; inputting the state characteristic matrix into an online strategy network to obtain a state action value at the current moment; obtaining an optimal scheduling rule at the current moment based on the state action value at the current moment and a target scheduling rule base; and executing a workshop scheduling instruction based on the optimal scheduling rule at the current moment. According to the workshop scheduling method provided by the invention, the defect of a single scheduling rule in the prior art can be solved, and the workshop scheduling is executed by utilizing a plurality of scheduling rules to adapt to the change of scheduling scenes and meet the optimization of the plurality of scheduling scenes.

A method and system for synchronously updating online policy setting values. When the dispatching end determines that the time interval between two adjacent online policy setting value calculations of the security control system is greater than a critical value, the dispatching end calculates the corresponding online policy setting value of the security control system. , and send the fixed value generation time T0, invalid time Tt and their corresponding online strategy fixed value sheets to the security control system; the dispatcher determines that each buffer zone of the security control system has received their own online strategy fixed values, and determines the When the online policy setting values ​​of the security control system all meet the validity check, and the absolute time t of the security control system is before the invalid time Tt, then after the switching delay △T is satisfied, the dispatcher controls all the security control systems Update to the checked online policy settings. The method of the invention takes the time scale as a reference, not only checks the reliability of the online fixed value, but also ensures the synchronization of the online strategy fixed value of the large-scale security control system.

The invention discloses an online task allocation method for protecting location privacy in mobile group perception, and the method realizes protection of worker location privacy based on geographicalindistinguishability and supports an online strategy to correspondingly match tasks arriving at a perception platform in real time with workers. According to the method, a worker firstly generates adisturbance position by adopting a planar Laplace mechanism and replaces an actual position with the disturbance position in the subsequent process; considering the error of disturbing the position, the invention designs a quantitative accessibility method based on probability; then two distance comparison mechanisms are designed, one distance comparison mechanism is based on workers, and the other distance comparison mechanism is based on tasks; through the process, the sensing platform matches the task with the maximum probability closest to the worker for the real-time worker and allocatesthe worker with the maximum probability closest to the task for the real-time task. According to the invention, the real-time online task allocation in the semi-trusted sensing platform is realized under the condition of protecting the location privacy of workers.

The invention relates to a realization method for online control strategies of a security control device with self-adaption running modes. The method comprises the following steps of: automatically recognizing running modes through the security control device, and matching and checking with definite values of online strategies including a plurality of running modes obtained through calculation at a scheduling end; when the running mode changes and the scheduling end can not calculate in time and issue new online strategy, automatically matching the definite value of the online strategy running in the device according to the changed running mode by the device, and once new fault occurs, enabling the security control device to operate according to the definite value of the online strategy matched with the current running mode. By utilizing the method, the adaptability of the definite value of the online strategies of the security device to the running modes is improved.

The invention discloses an integrated online strategy matching and collaborative optimization method based on big data analysis. Starting from the practical application of collaborative optimization of solar energy and storage, comprehensively considering seasons, weather, and load conditions and combining peak and valley electricity price policies, reasonable adjustment of storage The charging and discharging working state of energy can be fully utilized, and the characteristics of high energy storage timeliness and fast charging and discharging speed can be fully utilized. Through the analysis and clustering of historical load big data, five control plans are formulated, and combined with online real-time matching strategies, real-time adjustments are made to the plans that do not meet the actual situation. The invention not only alleviates the negative impact caused by the randomness and uncertainty of photovoltaic power generation, but also improves the synergy level of the photovoltaic storage system, taking into account the stability and economy of the system, and provides a more reliable method for researching photovoltaic storage synergy optimization.

The invention relates to an engine heat management controller and an online strategy configuration method. The engine heat management controller consists of a CPU (Central Processing unit), a non-volatile storage system, a communication system, an information acquisition system and a control output system, wherein the CPU unit is connected with the non-volatile storage system, the communication system, the information acquisition system and the control output system respectively. Through the online configuration function of the engine heat management controller, a complete circulation and iteration process ranging from strategy configuration, strategy resolving and effectiveness, control result monitoring and reconfiguration after the completion of strategy modification can be constructed, a final optical heat management strategy can be found very conveniently, and an optical effect of the heat management system is developed.

The invention discloses an inverter supporting online reconfiguration of control strategies and a method for supporting online reconfiguration of control strategies. An inverter that supports online reconfiguration of control strategies includes a controller, the controller includes a microprocessor and connected to the microprocessor: a memory for storing the control strategy; a sensor interface for receiving information collected by the sensor data; a communication interface, used for exchanging data with external devices; when the controller is running, at least one policy running process and one policy management process are opened, and after the policy management process performs an online strategy switching operation, it only needs to suspend the policy running process, After reconfiguring and rerunning, the new control strategy after switching can be executed. The inverter provided by the invention does not need to restart the inverter when adding, updating or switching control strategies. Compared with the traditional inverter, the inverter designed by the invention has stronger scalability and online reconfiguration , more suitable for the open operating environment of the microgrid.

The embodiments of this specification provide a method and device for pushing rights and interests, which can be generally used in various business scenarios where rights and interests are to be pushed. This method combines the ideas of meta-learning and reinforcement learning, takes different business scenarios as the tasks of meta-learning, combines the advantage design of reinforcement learning for long-term profit maximization decision-making, and obtains a machine learning solution for the optimal strategy of multi-scenario dynamic decision-making, so that Activity modeling for short cycles and new business scenarios becomes possible. When running online, the business coding network adopts an online strategy, requiring only a small amount of business data to quickly adapt to new business scenarios, obtain the code representation carrying business scenario information, and make push strategy decisions based on it, further improving the push strategy and business relevance of the scene. The network parameters in the agent can also be updated with an offline strategy, which improves the usability of the model.

The invention discloses a method of automatic time interval online for a double card mobile phone, which is applied to a radio communication network. The method comprises the following steps: firstly setting the strategy table of a double card, and the strategy table of the double card refers to selecting the on-line mode of the double card at any time interval; then, detecting the on-line strategy table of the double card by using the mobile phone; finally reading the on-line strategy table of the double card by using the mobile phone, and initiating a relevant plan according to the on-line strategy of the double card selected and set. By applying the invention, the purpose that a user hopes to use the individual mobile phone, the mobile phone automatically processes according to a strategy and the automatic time interval online for the double card mobile phone is not required to be selected every time through manual intervention, thereby meeting the individual demands of different users.

The invention discloses an online task allocation method for protecting location privacy in mobile group perception, and the method realizes protection of worker location privacy based on geographicalindistinguishability and supports an online strategy to correspondingly match tasks arriving at a perception platform in real time with workers. According to the method, a worker firstly generates adisturbance position by adopting a planar Laplace mechanism and replaces an actual position with the disturbance position in the subsequent process; considering the error of disturbing the position, the invention designs a quantitative accessibility method based on probability; then two distance comparison mechanisms are designed, one distance comparison mechanism is based on workers, and the other distance comparison mechanism is based on tasks; through the process, the sensing platform matches the task with the maximum probability closest to the worker for the real-time worker and allocatesthe worker with the maximum probability closest to the task for the real-time task. According to the invention, the real-time online task allocation in the semi-trusted sensing platform is realized under the condition of protecting the location privacy of workers.