33results about How to "Few measuring points" patented technology

The invention discloses a measuring method for a crane cart wheel pressure. The measuring method for the crane cart wheel pressure includes steps that (1) distributing foils, to be specific, pasting strain foils at the lateral surface of a cart track; (2) building a wheel pressure monitoring system, to be specific, connecting the strain foils and wireless strain nodes with a monitoring host; (3) calibrating, to be specific, enabling a crane to locate in a no-load state, enabling a crane dolly to locate at a proper position, enabling the cart to pass the cart track in a constant speed, and using the wheel pressure monitoring system to record a strain-time curve so as to obtain a wheel pressure and strain calibrating coefficient (shown in the description); (4) measuring the cart wheel pressure on site, to be specific, when the dolly is located at a set position according to a set lifting capacity, gathering the corresponding strain value, and converting the strain value into the corresponding wheel pressure (shown in the description). The measuring method for the crane cart wheel pressure is easy and practical, is capable of precisely measuring the actual value of each wheel pressure, is more direct and reliable than a calculation method, is capable of directly reflecting the wheel pressure non-uniformity of the crane under different working conditions and provides essential data for optimizing, using and maintaining the crane wheels and saving civil engineering cost.

The invention relates to a large span rail traffic bridge damage recognition method, including the steps:(1) a sensor is arranged on the bridge which will be examined, the dynamic response signal of alarge span rail traffic bridge is measured and is driven by that when a rail vehicle crosses the large span bridge, the signal on the sensor is red by a computer; (2) the benchmark bridge numerical model and the rail vehicle numerical model of the bridge are established; (3) a coupled mechanical analysis system comprising the benchmark bridge numerical model and the rail vehicle numerical model is initialized, an explicit integral method is used to solve the system, the simulated dynamic response signal of the benchmark bridge numerical model on a relative position is red according to the installment position of the sensor; (4) the energy spectrums of the dynamic response signal obtained by monitoring and the simulated dynamic response signal obtained by numerical simulation calculation of the bridge are solved by a multi-scale wavelet packet analysis method, and a damage recognition is carried on by recognizing index. The invention increases the precision of the bridge damage recognition, and the normal use of the bridge structure can not be affected.

The invention relates to a turbocharger abnormal sound diagnosis method. The method comprises steps of 1) noise vibration analysis; 2) filtering playback, the engine crankshaft rotating speed and theturbocharger rotor rotating speed corresponding to the frequency when abnormal sound occurs in the noise in a vehicle and the turbocharger near-field noise are filtered and separated; 3) excitation source control, the opening and closing time proportion of a turbocharger waste gas bypass valve is controlled by adjusting the duty ratio; 4) subjective evaluation, subjective evaluation is performed on in-vehicle abnormal sounds and turbocharger near-field noise in three states of an original vehicle state, adjustment of the duty ratio of a waste gas bypass valve controller to be zero and fixationof a waste gas bypass valve; 5) confirmation of the source of abnormal noise; and 6) conclusion verification, a pressure stabilizer is arranged at an air outlet of an air compressor of the turbocharger, and the conclusion is verified through objective improvement of abnormal sound quantification. The method is advantaged in that the abnormal sound source is quickly found by controlling possible excitation source state change, and the test period is short.

The invention discloses a secondary reheating million unit high-pressure heater system structure. The structure comprises a steam turbine, a high-pressure heater set and an external steam cooler set;the high-pressure heater set comprises a first high-pressure heater, a second high-pressure heater, a third high-pressure heater and a fourth high-pressure heater; single-row coiler vertical high-pressure heaters are adopted; the first high-pressure heater, the second high-pressure heater and the third high-pressure heater are arranged in a zero-meter layer of a steam machine room; the fourth high-pressure heater is arranged in an operation layer of a deaeration room; the external steam cooler set comprises a second external steam cooler and a fourth external steam cooler; U-shaped tube vertical heaters are adopted; the second external steam cooler is arranged in a middle layer of the steam machine room; and the fourth external steam cooler is arranged in the operation layer of the deaeration room. Meanwhile, the invention discloses an application method of the secondary reheating million unit high-pressure heater system structure. The structure has the characteristics of capability ofreducing the manufacturing cost of the steam machine room, simplification of the system, reduction of the engineering quantity, improvement of the unit economy, acceleration of the unit start time and the like.

The invention relates to a method for fault diagnosis of wind power generators based on bispectrum entropy, the steps of which are: collecting vibration signals of wind power generators in normal operation state, mild faults, moderate faults and severe faults; calculating faults of all vibration signals Characteristic band; establish a fault alienation detection model; collect the vibration signal of the wind turbine to be detected, calculate the fault characteristic band of the vibration signal to be detected, input the obtained fault characteristics into the fault alienation detection model, and calculate the fault state and the four types The minimum distance obtained is the fault state of the fan. The invention can effectively extract the fault features of the non-stationary signal, and carry out the fault diagnosis of the wind power generating set, improve the precision of the fault diagnosis, and can be widely used in the fault diagnosis of the wind generating set equipment.

The invention relates to a method for judging the ash level of a heating area considering the influence of the global heat transfer of a coal-fired boiler. k ; 2) Obtain the change value vector δT of the steam temperature difference between the inlet and outlet of the heating surface k without soot blowing a_k ;3) Correcting the steam temperature difference between the inlet and outlet of other heating surfaces to obtain the corrected value ΔT' of the steam temperature difference between the inlet and outlet k ;4) According to the correction value ΔT' of the steam temperature difference between the inlet and outlet of the heating surface k Calculate the ash degree coefficient β of each heated area k 5) When the ash accumulation degree coefficient of a certain heating surface is greater than the starting threshold, start soot blowing until the ash accumulation degree coefficient decreases below the starting threshold, and complete the soot blowing on the heating surface of the coal-fired boiler. Compared with the prior art, the present invention has the advantages of scientific utility, precision and simplicity.

The invention discloses a method for analyzing heat consumption characteristics of a steam turbine unit in a main control thermal power plant in the technical field of steam turbine unit heat consumption characteristics. To solve the technical problems of difficult monitoring and thermal economic evaluation, the operation mode of the steam turbine unit in the parent-controlled thermal power plant is divided into operation without deaerator and operation with deaerator; respectively establish the heat consumption model of the unit without deaerator and with The heat consumption model of the deaerator operating unit; collect the measurement point data of the steam turbine unit of the main pipe thermal power plant; analyze the heat consumption characteristics of the main pipe thermal power plant under different operating modes based on the collected measurement point data and the established heat consumption model. In the present invention, the heat consumption models are respectively established by dividing the unit into the operation without deaerator and the operation with deaerator, and only need a small amount of measuring point data to realize the analysis of the thermal economy of the unit, which is convenient for the operation of the unit The status is monitored online.

The invention discloses a current meter high-speed linear formula integration detection method and a detection device. The method comprises the following steps: cleaning a ball bearing; detecting average frictional resistance moment M of the ball bearing; detecting a propeller current meter rotating speed V0 and an instrument rotation bearing internal frictional resistance moment M, and confirming that a standard is reached; fixedly installing three detected current meters at the lower end of a measuring rod and placing them into water of a detection water tank; adjusting an axial directions of the current meters; tranquilizing a water body in the tank; starting a motor, a detection vehicle running from a lowest speed and gradually increasing its speed, and detecting instrument output signals and data; and according to a GB / T21699 detection method of rotor type current meter in linear open channel, by use of a least square method, calculating values of a and b of a detection formula and a middle and high-speed whole-line average mean square deviation sigma. According to the invention, the program and steps of a conventional detection method in the prior art are substantially simplified, the precision of detection results of the current meters can be ensured, at the same time, the production efficiency is improved, the working conditions are improved, the management rules are simplified, manpower and material resources are reduced, and the production operation cost is decreased.

The invention discloses a method for detecting exhaust enthalpy of a turbine. The method includes the following steps of measuring and calculating a change rule of a specific parameter when a working condition changes according to designed data or test measured data, calculating to obtain a numerical value of the specific parameter under one certain working condition, acquiring partial heating power data of a low pressure cylinder under the certain working condition by the aid of a measuring instrument, reasonably assuming on the basis of a stage loss theory to obtain a numerical model for calculating the exhaust enthalpy of the turbine, substituting the numerical value of the specific parameter and the partial heating power data into the numerical model for calculating the exhaust enthalpy of the turbine to calculate the value of exhaust enthalpy of the turbine under the certain working condition. On the basis of stage loss theory, stage losses of the turbine are sorted into exhaust steam loss relating to volume flow, moisture loss relating to moisture and other losses relating to ideal enthalpy drop, and the calculation is simple, clear and highly precise. Detailed structural parameter of the low pressure cylinder is not needed, so measure points are reduced, and influence on calculated result caused by measuring error is small.

The invention provides a near-field acoustic holography test method based on a spherical function basic solution and a near-field acoustic holography test device thereof. The test method comprises the steps that the order N of the used spherical function basic solution and the number and the position of microphones on a spherical holographic measuring surface are determined, sound pressure measurement is performed on the determined measurement points and the acoustic physical quantity of the surface of a vibration structure is reversely reconstructed by using the acquired measurement result. The device comprises a base (1), a rotating shaft (2), a semicircular support (3) and a test mechanism (4). The semicircular support (3) can circumferentially rotate along with the rotating shaft (2). The test mechanism (4) is fixedly installed on the semicircular support (3) and can measure acoustic pressure information of the spherical holographic measuring surface surrounding the vibration structure (5).

The invention discloses a WAMS-based single large disturbance online detection method for a power grid, comprising the following steps: step 1), information acquisition; step 2), disturbance detection; step 3), information fusion; step 4), diagnosis and decision-making. The algorithm of the disturbance detection method of the present invention is simple, the detection speed is relatively fast, and the accuracy is relatively high. In particular, the accurate phase angle information provided by the PMU is used to detect whether the disturbance occurs, and it solves whether a single large disturbance occurs. judgment problem. At the same time, because the uploaded information has a certain error probability, combined with the data uploaded by WAMS and SCADA, the data fusion theory is used to verify whether the disturbance really occurs, and it solves the problem of wrong judgment results of large disturbances caused by wrongly uploaded information.

The invention discloses a measuring method of deepwater reservoir vertical direction water temperature distribution. Control spacing of measuring points is obtained according to measuring accuracy of an instrument, from the water depth of 10 meters to 15 meters to the bottom of a reservoir, the points are measured in every 10 meters to 15 meters, temperature gradients of the points are calculated by a method of back inserting, if the temperature gradient of a certain point is larger than 0.05 DEG C / m, the ratio of the absolute value of the difference of the temperature gradient of the certain point and that of an adjacent point to the temperature gradient of the certain point is calculated, if the ratio is larger than 15%, measuring water temperature is increased to a middle point of the certain point and the adjacent point so as to enable the water temperature of all points to satisfy the condition that the absolute value of the temperature gradient of water temperature is not more than 0.05 DEG C / m or the ratio of the absolute value of the difference of the temperature gradient of the certain point and that of the adjacent point to the temperature gradient of the certain point is not more than 15% or the spacing of the measuring points is not more than two times of the control spacing. The temperatures of all points are sequenced according to the water depth, and then the deepwater reservoir vertical direction water temperature distribution can be obtained through spline interpolation.