37results about How to "No need for manual debugging" patented technology

The invention relates to the technical field of filters, in particular to automatic debugging equipment for a filter. The automatic debugging equipment for the filter comprises a rack, and a placementtable, a debugging mechanism and a debugging translation driving mechanism which are arranged on the rack, wherein the placement table is used for placing a filter to be debugged; the debugging mechanism is used for automatically debugging the filter placed on the placing table; and the debugging translation driving mechanism is used for driving the debugging mechanism to carry out translation. According to the automatic debugging equipment for the filter, a problem of low debugging efficiency of the filter is solved.

The invention discloses a traffic signal lamp fault threshold value automatic detection method. The method includes a coarse adjustment detection step and a fine adjustment detection step. According to the coarse adjustment detection step, starting from a coarse adjustment channel initial voltage value, the value of voltage applied to a current channel is increased gradually wit a step D1, and when the value of the voltage is increased each time, a new value obtained each time is corresponding to one work state, and current values corresponding to the voltage values are recorded, and a coarse adjustment voltage threshold value Un and a coarse adjustment current threshold value In are determined. According to the fine adjustment detection step, starting from a fine adjustment channel initial voltage value, the value of voltage applied to the current channel is increased gradually wit a step D2, and when the value of the voltage is increased each time, a new value obtained each time is corresponding to one work state, and a traffic signal lamp fault voltage threshold value and a traffic signal lamp fault current threshold value are determined. According to the method of the invention, different voltage is applied, and a voltage value and a current value which appear correspondingly when the current of a signal lamp changes greatly are detected, and a startup threshold value does not require manual debugging. The method has the advantages of high operability and high detection efficiency.

The invention discloses a test auxiliary device for testing the tensile strength of rock through the Brazilian test, and relates to the technical field of rock mechanical tests. The test auxiliary device for testing the tensile strength of the rock through the Brazilian test comprises a base (1), a cushion block (2), an upper cushion strip (6), a lower cushion strip (7), stand columns (4), a locating frame (3) and springs (5). The test auxiliary device for testing the tensile strength of the rock through the Brazilian test is simple in structure and ingenious in design, the locating frame with the internal trapezoid hollow is designed to act on a cylindrical test piece through the cushion block, the test piece downwards moves into the locating frame along with the own gravity, the centering position of the test piece is regulated until the bottom of the test piece makes contact with the lower cushion strip to be stable, the automatic regulation of the position of the test piece is finished, manual regulation is not needed, although the locating frame makes contact with the test piece before the test and plays the leading function for adjusting the centering position, the acting force of the locating frame can be ignored relative to the acting force after the test begins, test data after locating is accurate are accurate, an error is small, assembly and disassembly are convenient, manual regulation is not needed, and testing efficiency is improved.

The invention discloses a geomagnetic detector detection algorithm based on neural network self-learning. The determination threshold is adaptively updated according to the characteristics of a passing vehicle on the geomagnetism, and thus high accuracy of long-term operation is guaranteed. The determined threshold value Vk is empirically set, the magnetic field change value Ak+1 is recorded after one vehicle passes every time, and the initial threshold is subtracted so as to obtain the threshold change of the bicycle deltaVk+1 and then a certain weight is set for the change amount to correct the initial threshold value Vk. With the increase of the number of vehicle samples, the threshold value is infinitely close to the theoretical determination value and false detection and missed detection can be reduced so that the accuracy of vehicle inspection can be greatly enhanced, the effective and stable traffic flow data can be provided for traffic signal control and the tedious work of periodically and manually adjusting the threshold value of vehicle inspection can be saved.

The invention discloses a high-frequency high-voltage power source capable of rapidly switching off a circuit when spark breakdown occurs. The high-frequency high-voltage power source is provided with a CPU. The CPU controls a triggering driving unit to drive a high-frequency converting unit, and the output of the high-frequency converting unit is connected with a high-frequency boosting unit. The high-frequency high-voltage power source is characterized in that a sampling circuit connected with output current of the high-frequency boosting unit is arranged, and the output of the sampling circuit is connected with a spark signal latch and processing circuit sequentially through a primary voltage follower circuit, a primary signal high-speed isolation circuit, a secondary voltage follower circuit, a high-speed voltage comparison circuit and a secondary signal high-speed isolation circuit; one output path of the spark signal latch and processing circuit is connected with the CPU, and the other output path of the spark signal latch and processing circuit is connected with the triggering driving unit; the CPU controls the triggering driving unit through the spark signal latch and processing circuit.

The invention provides a method for identifying the Hall phase sequence of a DC brushless motor. The identification method comprises the steps of firstly, carrying out pre-positioning on a rotor of the DC brushless motor by the means of sequentially introducing a first pre-positioning voltage vector and a second pre-positioning voltage vector, collecting Hall state signals of three Hall sensors after the pre-positioning, then determining a correct Hall combination mode according to a Hall state combination target value corresponding to the second pre-positioning voltage vector and the Hall state signals of the three Hall sensors to obtain a candidate set, then introducing a third pre-positioning voltage vector into the DC brushless motor, collecting Hall state signals of the three Hall sensors after introducing the third pre-positioning voltage vector, and further selecting a correct Hall combination mode from the candidate set to serve as an identification result according to a Hall state combination target value corresponding to the third pre-positioning voltage vector and the Hall state signals. The automatic identification of the Hall phase sequence of the DC brushless motor isrealized without manual debugging.