Abstract: The present invention discloses an urban traffic velocity estimation method based on multi-source crowd sensing data. This method, based on roadside pedestrian data and road navigation data collected by smart phones, obtains a final estimated velocity through the steps of missing data filling, self-view velocity aggregation and multi-view velocity fusion. This fine-grained large-scale urban traffic velocity estimation method can achieve velocity estimation on all types of roads, including suburban road sections and paths, instead of just focusing on main roads in a city center. According to the present invention, based on data driving, the urban traffic velocity estimation method does not need to install additional devices on roads, and is low in cost and high in universality. Compared with the prior art, the urban traffic velocity estimation method has higher practicability, theoretical property and applicability, and is of great significance for improving traffic management and planning.

Abstract: The present invention discloses a human mobility prediction method based on a generative adversarial network. According to the method, the integration of spatio-temporal features of multimodal data is studied by virtue of studying urban human mobility prediction during the pandemic. A human mobility mode is difficult to be predicted during the pandemic due to complex multimodal data such as complicated social background, policy and pandemic situation. The analysis of human mobility data from three cities in China shows that different cities have highly similar human mobility modes during the pandemic, despite of great differences between them. On this basis, the disclosure designs a prediction model, in which the effects of the multimodal data on the spatio-temporal features of the human mobility are modeled integrally. In addition to this, the model can help the government evaluate the potential effects of different policies on human mobility better, and optimize policy development.

Abstract: A blackboard eraser cleaning device is provided and includes an outer shell (1). A cover (2) is arranged at the upper part of the outer shell (1), an inner shell (3) is arranged inside the outer shell (1). A clamping mechanism (19) is arranged at the upper end of the inner shell (3). A leaning station (8) is defined inside the clamping mechanism (19). A cylinder (9) is arranged around the clamping mechanism (19). A height adjustment mechanism (10) is arranged inside the outer shell (1). The height adjustment mechanism (10) includes a servo (101) arranged inside the outer shell (1) and located on a side of the inner shell (3). According to the present application, a variety of cleaning modes may be achieved to meet the actual usage of the blackboard eraser.

Abstract: A dielectric barrier discharging tube, which has a synergistic column of needle electrodes to utilize a plurality of channels to adsorb catalysts, is provided. The dielectric barrier discharging tube includes: a quartz tube, a high-voltage pole, an inner electrode, and a plurality discharging needle sets. Two catalytic blocks are arranged respectively on two sides of each set discharging needles. Each catalytic block defines at least one inclined inner channel and at least one inclined outer channel. A higher end of each channel faces towards the discharging needle, and a lower end of each channel faces towards the discharging needle.

Abstract: A blackboard eraser cleaning device is provided and includes an outer shell (1). A cover (2) is arranged at the upper part of the outer shell (1), an inner shell (3) is arranged inside the outer shell (1). A clamping mechanism (19) is arranged at the upper end of the inner shell (3). A leaning station (8) is defined inside the clamping mechanism (19). A cylinder (9) is arranged around the clamping mechanism (19). A height adjustment mechanism (10) is arranged inside the outer shell (1). The height adjustment mechanism (10) includes a servo (101) arranged inside the outer shell (1) and located on a side of the inner shell (3). According to the present application, a variety of cleaning modes may be achieved to meet the actual usage of the blackboard eraser.

Abstract: A dielectric barrier discharge tube includes a quartz tube, the middle of the quartz tube is sleeved with a high-voltage electrode, an inner electrode is arranged in the quartz tube, a drive fan is arranged at the end of the inner electrode, a discharging needle set is arranged on the surface of the inner electrode, and a spiral discharging wire is suspended and arranged at the tip of the discharging needle set. After a high voltage electric field is applied to the high voltage electrode, the discharging needle set and the spiral discharging wire discharge, the discharging needle set and the spiral discharging wire discharge at different time points. When the gas passes through the driving fan, the flow direction of the gas is changed. A cyclone can be generated to drive the gas to flow towards the discharging area.

Abstract: Provided is a method of identification and compensation of an inherent deviation of a yaw error of a wind turbine based on a true power curve. The method, based on a wind turbine data acquisition and monitoring control (SCADA) system includes a wind speed, an active power, and a yaw error and so on, runs data in real-time, first pre-processes the data to a certain degree, and then divides a power curve data according to a certain yaw error interval, fits the power curves according to different yaw error intervals through a true power curve fitting flow in connection with an outlier discrimination method, further quantitatively analyzes the different power curves and determines an interval scope of the yaw error inherent deviation value based on an interval determination criterion, and finally compensates the identified inherent deviation value to a yaw error measurement value.

Abstract: Provided is a method of identification and compensation of an inherent deviation of a yaw error of a wind turbine based on a true power curve. The method, based on a wind turbine data acquisition and monitoring control (SCADA) system includes a wind speed, an active power, and a yaw error and so on, runs data in real-time, first pre-processes the data to a certain degree, and then divides a power curve data according to a certain yaw error interval, fits the power curves according to different yaw error intervals through a true power curve fitting flow in connection with an outlier discrimination method, further quantitatively analyzes the different power curves and determines an interval scope of the yaw error inherent deviation value based on an interval determination criterion, and finally compensates the identified inherent deviation value to a yaw error measurement value.

Abstract: The invention discloses an identification method of nonlinear parameter varying models (NPV) and belongs to the industrial identification field. The invention carries out identification tests and model identification for an identified object with nonlinear parameter varying characteristics. Firstly, the multi-input single-output nonlinear parameter varying model is identified through the steps of local nonlinear model tests, local nonlinear models identification, and operating point variable transition tests; after completing the identification of all the multi-input single-output nonlinear parameter varying models with respect to all the controlled variables, the completed multi-input multi-output nonlinear parameter varying models are built. The nonlinear parameter varying models of an identified object can be obtained by the identification method of the present invention with limited input/output data without detailed mechanism knowledge of the identified object.

Abstract: The invention discloses an identification method of nonlinear parameter varying models (NPV) and belongs to the industrial identification field. The invention carries out identification tests and model identification for an identified object with nonlinear parameter varying characteristics. Firstly, the multi-input single-output nonlinear parameter varying model is identified through the steps of local nonlinear model tests, local nonlinear models identification, and operating point variable transition tests; after completing the identification of all the multi-input single-output nonlinear parameter varying models with respect to all the controlled variables, the completed multi-input multi-output nonlinear parameter varying models are built. The nonlinear parameter varying models of an identified object can be obtained by the identification method of the present invention with limited input/output data without detailed mechanism knowledge of the identified object.