Abstract: An experimental device for SDC of powder particle sizes in a disc mill system includes a screw feeding control device, a mill speed adjustment device, a disc gap servo control device, a sampling device, a laser particle analyzer, a control cabinet and an upper computer. A control method for the experimental device includes the following steps: 1) performing initial setting; 2) starting the disc mill system; 3) performing sampling through a sampling device; 4) detecting a actual PDF (probability density function) shaping of distribution of powder particle sizes through the laser particle analyzer; and 5) updating the initial setting through a SDC algorithm. The experimental device and method can verify a series of SDC algorithms, and provides good a better experimental platform for teaching and scientific research; and the shape of non-Gaussian distribution of output random variables of a stochastic distribution system can be effectively controlled.

Abstract: A method for dispatching a power grid is disclosed. The method includes: obtaining a whole power generation interval scheduled for a cluster of renewable energy stations from a power grid dispatching center; establishing a decomposition model that includes an objection function and constraint conditions; decomposing the whole power generation interval with the decomposition model to obtain each power generation interval of each renewable energy station; and controlling each renewable energy station to generate powers based on each power generation interval. The objection function minimizes a total operating cost in the power grid and includes a renewable energy randomness indicating an actual power generation amount of each renewable energy station.

Abstract: Provided is a voice recognition method and a voice recognition apparatus, and an air conditioner. The method includes: acquiring first voice data; adjusting, according to the first voice data, a collection state of second voice data to obtain an adjusted collection state, and acquiring the second voice data based on the adjusted collection state; and performing far-field voice recognition on the second voice data using a preset far-field voice recognition model so as to obtain semantic information corresponding to the acquired second voice data. The application can solve the problem in which far-field voice recognition performance is poor when a deep learning method or a microphone array method is used to remove reverberation and noise from far-field voice data, thereby enhancing far-field voice recognition performance.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for scheduling a service, an electronic device, and a storage medium. The method includes: a service scheduling task is acquired, the service scheduling task is composed of a first identifier corresponding to a service request, and a second identifier corresponding to a device receiving the service request; a third identifier corresponding to a service associated with the service scheduling task is searched in a preset service scheduling knowledge graph; at least one service scheduling sequence is generated on the basis of the service scheduling task and the third identifier corresponding to the service; a target service scheduling sequence is determined from the at least one service scheduling sequence; and the device is notified to access a service corresponding to the third identifier in the target service scheduling sequence.

Abstract: A method for dispatching a power grid is disclosed. The method includes: obtaining a whole power generation interval scheduled for a cluster of renewable energy stations from a power grid dispatching center; establishing a decomposition model that includes an objection function and constraint conditions; decomposing the whole power generation interval with the decomposition model to obtain each power generation interval of each renewable energy station; and controlling each renewable energy station to generate powers based on each power generation interval. The objection function minimizes a total operating cost in the power grid and includes a renewable energy randomness indicating an actual power generation amount of each renewable energy station.

Abstract: Provided is a voice recognition method and a voice recognition apparatus, and an air conditioner. The method includes: acquiring first voice data; adjusting, according to the first voice data, a collection state of second voice data to obtain an adjusted collection state, and acquiring the second voice data based on the adjusted collection state; and performing far-field voice recognition on the second voice data using a preset far-field voice recognition model so as to obtain semantic information corresponding to the acquired second voice data. The application can solve the problem in which far-field voice recognition performance is poor when a deep learning method or a microphone array method is used to remove reverberation and noise from far-field voice data, thereby enhancing far-field voice recognition performance.

Abstract: The disclosure provides a stochastic look-ahead dispatch method for power system based on Newton method, belonging to power system dispatch technologies. The disclosure analyzes historical data of wind power output, and uses statistical or fitting software to perform Gaussian mixture model fitting. A dispatch model with chance constraints is established for system parameters. Newton method is to solve quantiles of random variables obeying Gaussian mixture model, so that chance constraints are transformed into deterministic linear constraints, thus transforming original problem to convex optimization problem with linear constraints. Finally, the model is solved to obtain look-ahead dispatch. The disclosure employs Newton method to transform chance constraints containing risk level and random variables into deterministic linear constraints, which effectively improves model solution efficiency, and provides reasonable dispatch for decision makers.

Abstract: Provided is a disc gap servo control device and method for a powder grinding system, which includes a disc powder grinding machine, a rotating speed regulating device of a rotating disc, the disc gap servo control device and a control cabinet. The method includes the following steps of: (1) inputting a control information; (2) an industrial computer obtaining a current disc gap and displaying the disc gap on a touch screen; (3) the disc gap servo control device adjusting the disc gap; (4) the current disc gap reaches a target disc gap; and (5) a frequency converter controlling a motor rotating speed, so that the actual rotating disc rotating speed can reach a target rotating speed of the rotating disc. The operation parameters of the rotating disc are observed by the industrial computer in real time, and finally a high-precision servo control of the disc gap can be realized.

Abstract: The disclosure provides a stochastic dynamical unit commitment method for power system based on solving quantiles via Newton method, belonging to power system technologies. The method establishes a unit commitment model with chance constraints for power system parameters. Quantiles of random variables obeying mixed Gaussian distribution is solved by Newton method, and chance constraints are transformed into deterministic linear constraints, so that original problem is transformed into mixed integer linear optimization problem. Finally, the model is solved to obtain on-off strategy and active power plan of units. The disclosure employs Newton method to transform chance constraints containing risk level and random variables into deterministic mixed integer linear constraints, which effectively improves the model solution efficiency, eliminates conservative nature of conventional robust unit commitment, provides reasonable dispatch basis for decision makers.

Abstract: An experimental device for SDC of powder particle sizes in a disc mill system includes a screw feeding control device, a mill speed adjustment device, a disc gap servo control device, a sampling device, a laser particle analyzer, a control cabinet and an upper computer. A control method for the experimental device includes the following steps: 1) performing initial setting; 2) starting the disc mill system; 3) performing sampling through a sampling device; 4) detecting a actual PDF (probability density function) shaping of distribution of powder particle sizes through the laser particle analyzer; and 5) updating the initial setting through a SDC algorithm. The experimental device and method can verify a series of SDC algorithms, and provides good a better experimental platform for teaching and scientific research; and the shape of non-Gaussian distribution of output random variables of a stochastic distribution system can be effectively controlled.

Abstract: The disclosure provides a stochastic look-ahead dispatch method for power system based on Newton method, belonging to power system dispatch technologies. The disclosure analyzes historical data of wind power output, and uses statistical or fitting software to perform Gaussian mixture model fitting. A dispatch model with chances constraints is established for system parameters. Newton method is to solve quantiles of random variables obeying Gaussian mixture model, so that chances constraints are transformed into deterministic linear constraints, thus transforming original problem to convex optimization problem with linear constraints. Finally, the model is solved to obtain look-ahead dispatch. The disclosure employs Newton method to transform chance constraints containing risk level and random variables into deterministic linear constraints, which effectively improves model solution efficiency, eliminates conservative nature of conventional robust, provides reasonable dispatch for decision makers.

Abstract: The disclosure provides a stochastic dynamical unit commitment method for power system based on solving quantiles via Newton method, belonging to power system technologies. The method establishes a unit commitment model with chance constraints for power system parameters. Quantiles of random variables obeying mixed Gaussian distribution is solved by Newton method, and chance constraints are transformed into deterministic linear constraints, so that original problem is transformed into mixed integer linear optimization problem. Finally, the model is solved to obtain on-off strategy and active power plan of units. The disclosure employs Newton method to transform chance constraints containing risk level and random variables into deterministic mixed integer linear constraints, which effectively improves the model solution efficiency, eliminates conservative nature of conventional robust unit commitment, provides reasonable dispatch basis for decision makers.

Abstract: Provided is a disc gap servo control device and method for a powder grinding system, which includes a disc powder grinding machine, a rotating speed regulating device of a rotating disc, the disc gap servo control device and a control cabinet. The method includes the following steps of: (1) inputting a control information; (2) an industrial computer obtaining a current disc gap and displaying the disc gap on a touch screen; (3) the disc gap servo control device adjusting the disc gap; (4) the current disc gap reaches a target disc gap; and (5) a frequency converter controlling a motor rotating speed, so that the actual rotating disc rotating speed can reach a target rotating speed of the rotating disc. The operation parameters of the rotating disc are observed by the industrial computer in real time, and finally a high-precision servo control of the disc gap can be realized.

Abstract: Operations include executing a WebSocket server on a machine executing a web browser; establishing a connection between the WebSocket server and the web browser; receiving, by the WebSocket server from the web browser, a request requiring execution of a local application on the machine; and executing, by the WebSocket server, the local application to serve the request.

Abstract: Operations include executing a WebSocket server on a machine executing a web browser; establishing a connection between the WebSocket server and the web browser; receiving, by the WebSocket server from the web browser, a request requiring execution of a local application on the machine; and executing, by the WebSocket server, the local application to serve the request.