Abstract: A method and device for a pumping start test for a pumped storage engine, and an apparatus are disclosed. The method includes: obtaining a switch state of guide vanes of the pumped storage engine; controlling the pumping start of the engine to enter a first stage according to the switch state of the guide vanes, and obtaining parameters related to the first stage, to determine a first-stage test result; controlling the pumping start of the engine to enter a second stage according to the first-stage test result, and obtaining parameters related to the second stage, to determine a second-stage test result; controlling the pumping start of the engine to enter a third stage according to the second-stage test result, and obtaining parameters related to the third stage to determine a final test result. The first stage, the second stage and the third stage correspond to different speeds of the engine.

Abstract: A device and method for starting a pumped storage group, and a pumped storage system are disclosed. The device includes: an acquisition module configured to acquire starting data of the group in real time; a first determination module configured to determine a real-time speed versus time curve for the group based on the starting data; and a correction module configured to correct a starting speed of the group based on a deviation between a reference speed versus time curve cluster and the real-time speed versus time curve. The real-time speed of the group during starting is visualized through a curve fitting procedure to form the real-time speed versus time curve, the real-time speed versus time curve is compared with a favorable history operation curve, and the deviation between the real-time speed versus time curve and the favorable history operation curve is corrected to adjust the starting speed of the group.

Abstract: The present disclosure discloses a method and an apparatus for identifying an S-characteristic of a pump turbine and a control method. The method for identifying an S-characteristic of a pump turbine includes: collecting a set of state parameters of the pump turbine at a preset time interval, wherein the state parameters comprise a flow rate and a rotation speed of the pump turbine; calculating a slope of a relationship curve between the rotation speed and the flow rate of the pump turbine within a current preset time interval; and determining, according to the positivity or negativity and an absolute value of the slope, whether the pump turbine enters an S-characteristic region.

Abstract: A method and device for a load rejection test for a pumped storage group, an apparatus and a medium. The method includes: determining a probability distribution model of at least one known random variable corresponding to a target pumped storage group, and determining an origin moment of the target random variable based on each probability distribution model; determining semi-invariants of the target random variable based on the origin moment of the target random variable; determining a probability density function of the target random variable based on the semi-invariants, and determining an overall offset risk value of the target random variable; determining an objective function based on the overall offset risk value, and determining a combination of target decision contents in the load rejection test for the target pumped storage group, so as to perform the load rejection test on the target pumped storage group.

Abstract: The present disclosure provides a self-adaptive test method for an intelligent prediction algorithm of analog measured values. Firstly, an event recording sequence, an analog measurement point ID and an analog measurement point alarm value are read from a time sequence event record table, an analog measurement point table and an alarm threshold table. Next, operation records of a normal operation state of a unit within a statistical cycle are acquired to form historical statistics of measured values of the analog measurement point based on switching value signals. Then, simulated measured values of the analog measurement point with time scales are calculated based on the historical statistics, the analog measurement point alarm value and an analog measurement point current measured value. Finally, sensitivity is calculated; and an alarm is sent to remind a technician to adjust the algorithm when the sensitivity is greater than a threshold.

Abstract: Provided are a determination method and apparatus of a main shaft bearing state, an electronic device, and a storage medium. The method includes the following steps: Bearing swing data of a target main shaft bearing at multiple moments within a preset time period are acquired; at least one current data period and current-period bearing swing data in each current data period are determined according to the multiple pieces of bearing swing data; a first abrupt change value and a second abrupt change value are determined according to the current-period bearing swing data in each current data period; and a main shaft bearing state of the target main shaft bearing is determined according to the first abrupt change value and the second abrupt change value.

Abstract: Provided are a vibration object monitoring method and apparatus, a computer device, and a storage medium. The method includes: in response to detecting that a vibration object exists in a monitoring video picture for a target monitoring region, a vibration object region in the monitoring video picture is determined, where the vibration object region is a region where the vibration object is located in the monitoring video picture; displacement information of a key point of the vibration object in the vibration object region is recorded; vibration information of the vibration object in the monitoring video picture is determined based on the displacement information; and a vibration object monitoring result for the target monitoring region is generated according to the vibration information. The abnormal vibration monitoring can be performed on the vibration object in the target monitoring region in time according to this method.

Abstract: Provided are a vibration object monitoring method and apparatus, a computer device, and a storage medium. The method includes: in response to detecting that a vibration object exists in a monitoring video picture for a target monitoring region, a vibration object region in the monitoring video picture is determined, where the vibration object region is a region where the vibration object is located in the monitoring video picture; displacement information of a key point of the vibration object in the vibration object region is recorded; vibration information of the vibration object in the monitoring video picture is determined based on the displacement information; and a vibration object monitoring result for the target monitoring region is generated according to the vibration information. The abnormal vibration monitoring can be performed on the vibration object in the target monitoring region in time according to this method.

Abstract: Provided is a method for determining insulation thermomechanical deterioration of a VPI wire rod of a pumped storage power generator motor. The method includes: periodically performing a cold-heat cycling test on a wire rod, and performing an insulation dielectric dissipation factor testing and a result interpretation of the insulation dielectric dissipation factor testing before and after each period to obtain corresponding data; in response to determining the interpretation result as the data being qualified, continuing to perform the cold-heat cycling test; and in response to determining the interpretation result as the data being unqualified, striking the wire rod with a copper hammer, and using an acoustic acquisition and analysis system to perform signal processing to determine spectral characteristics in a thermomechanical deterioration state as a deterioration criterion.

Abstract: Provided is a method for determining insulation thermomechanical deterioration of a VPI wire rod of a pumped storage power generator motor. The method includes: periodically performing a cold-heat cycling test on a wire rod, and performing an insulation dielectric dissipation factor testing and a result interpretation of the insulation dielectric dissipation factor testing before and after each period to obtain corresponding data; in response to determining the interpretation result as the data being qualified, continuing to perform the cold-heat cycling test; and in response to determining the interpretation result as the data being unqualified, striking the wire rod with a copper hammer, and using an acoustic acquisition and analysis system to perform signal processing to determine spectral characteristics in a thermomechanical deterioration state as a deterioration criterion.

Abstract: A method and device for smoke or fire recognition, a computer device and a storage medium are disclosed. The method includes: acquiring a to-be-recognized image in a smoke or fire monitoring region; recognizing a smoke or fire suspected region in the to-be-recognized image according to the to-be-recognized image, including recognizing a smoke or fire suspected region in a visible light image on the basis of colors, and recognizing a smoke or fire suspected region in an infrared image on the basis of brightness; and inputting the to-be-recognized image including the smoke or fire suspected region into a preset model, and recognizing a smoke or fire state in the to-be-recognized image according to an output result of the preset model, the preset model being obtained by training based on the visible light image pre-marked with a smoke or fire state or the infrared image pre-marked with a smoke or fire state.

Abstract: The present disclosure provides a self-adaption faster-than-real-time method for estimating a working condition start-up state of a unit. Firstly, an event recording sequence, an analog measurement point ID, an analog measurement point first-level alarm value and a history scatter point distribution record are read from a time sequence event record table, an analog measurement point table, an alarm threshold table and a historical scatter record table. A measured value slope of the analog measurement point is calculated according to an event recording relative time. Then, an abnormal state estimated value is calculated based on the history scatter point distribution record, the analog measurement point first-level alarm value and the measured value slope of the analog measurement point. Finally, a pre-warning is sent to remind a watchman to perform a preventive operation when the abnormal state estimated value is above the threshold.

Abstract: The present disclosure provides a self-adaption faster-than-real-time method for estimating a working condition start-up state of a unit. Firstly, an event recording sequence, an analog measurement point ID, an analog measurement point first-level alarm value and a history scatter point distribution record are read from a time sequence event record table, an analog measurement point table, an alarm threshold table and a historical scatter record table. A measured value slope of the analog measurement point is calculated according to an event recording relative time. Then, an abnormal state estimated value is calculated based on the history scatter point distribution record, the analog measurement point first-level alarm value and the measured value slope of the analog measurement point. Finally, a pre-warning is sent to remind a watchman to perform a preventive operation when the abnormal state estimated value is above the threshold.

Abstract: The present disclosure provides a self-adaptive test method for an intelligent prediction algorithm of analog measured values. Firstly, an event recording sequence, an analog measurement point ID and an analog measurement point alarm value are read from a time sequence event record table, an analog measurement point table and an alarm threshold table. Next, operation records of a normal operation state of a unit within a statistical cycle are acquired to form historical statistics of measured values of the analog measurement point based on switching value signals. Then, simulated measured values of the analog measurement point with time scales are calculated based on the historical statistics, the analog measurement point alarm value and an analog measurement point current measured value. Finally, sensitivity is calculated; and an alarm is sent to remind a technician to adjust the algorithm when the sensitivity is greater than a threshold.