Abstract: The present invention provides an induction type oil debris signal monitoring and identification system, which comprises an induction type oil debris sensor, used to detect small electromagnetic changes in the oil and output a monitoring signal after processing through a signal processing circuit; a bubble and debris classification and identification network module, used to analyze whether an abnormal amplitude signal in the monitoring signal contains bubbles or not so as to prevent the bubbles from being c as debris, and a two-level debris signal analysis network module, used to analyze the monitoring signal and determine the size and the quantity of debris.

Abstract: The present invention provides an induction type oil debris signal monitoring and identification system, which comprises an induction type oil debris sensor, used to detect small electromagnetic changes in the oil and output a monitoring signal after processing through a signal processing circuit; a bubble and debris classification and identification network module, used to analyze whether an abnormal amplitude signal in the monitoring signal contains bubbles or not so as to prevent the bubbles from being c as debris, and a two-level debris signal analysis network module, used to analyze the monitoring signal and determine the size and the quantity of debris.

Abstract: A signal processing system and method for inductive oil abrasive particle sensor, comprising a sensor, an excitation signal generator, an analog signal processing circuit, a MCU signal acquisition module and a computer signal processing module is disclosed. The sensor is provided with two groups of induction coils, the excitation signal generator generates excitation signals and drives the excitation coils of the sensor to output induction signals containing abrasive particle information, and the analog signal processing circuit receives the induction signals output by the sensor and demodulates and amplifies the induction signals. The signal processing system of the sensor applied to online monitoring of oil abrasive particles is simple in structure and convenient to apply, has a complete signal statistics and monitoring interface, and can be used to effectively monitor the size, concentration and other information of the metal abrasive particles in oil in real time.

Abstract: A client of a metering service defines mapping data and derivation instructions comprising schema metadata and predicate metadata. The metering service provides usage information for a set of computing resources provided by one or more services of a computing resource service provider. As computing resources are utilized, usage records are generated. A derivation system may obtain one or more usage records and determine whether a predicate applies. If the predicate applies, a derivation function may be executed. For example, the derivation function may generate, from an original usage record, a derived usage record using mapping data provided by a client.

Abstract: A signal processing system and method for inductive oil abrasive particle sensor, comprising a sensor, an excitation signal generator, an analog signal processing circuit, a MCU signal acquisition module and a computer signal processing module is disclosed. The sensor is provided with two groups of induction coils, the excitation signal generator generates excitation signals and drives the excitation coils of the sensor to output induction signals containing abrasive particle information, and the analog signal processing circuit receives the induction signals output by the sensor and demodulates and amplifies the induction signals. The signal processing system of the sensor applied to online monitoring of oil abrasive particles is simple in structure and convenient to apply, has a complete signal statistics and monitoring interface, and can be used to effectively monitor the size, concentration and other information of the metal abrasive particles in oil in real time.

Abstract: A selective desulfurization method implemented based on a high gravity reactor is provided, in the technical field of desulfurization separation. The selective desulfurization method includes the following steps: driving the packed bed to rotate through the driving device; introducing feed gas containing hydrogen sulfide into the reactor through the air inlet, and enabling the feed gas to enter the packed bed and move along a direction from a outer packing area of multiple areas to an inner packing area of the multiple of packing areas; introducing a desulfurizer into the packed bed through the liquid inlet, and enabling the desulfurizer to move along a direction from the inner packing area to the outer packing area under an action of centrifugal force. Deflectors can change the flow direction of the desulfurizer liquid after passing through the inner packing area.

Abstract: The present disclosure belongs to the technical field of ultrasonic non-destructive testing, and discloses a method for extracting feature path signals of pipeline ultrasonic helical guided waves. The method includes: transforming a nonlinear wave number relationship of a pipe wall into a linear form by first order Taylor expansion, the approximation being reasonable under narrow band excitation; on this basis, establishing multimodal and multipath guided wave propagation over-complete data sets, and obtaining a modal weight factor and a path weight factor through a single-layer neural network algorithm; and multiplying the modal weight factor by the multimodal data set to separate a plurality of groups of unimodal signals from a whole signal, and multiplying the path weight factor by the multipath data set to extract unimodal feature path signals. The present disclosure can effectively extract unimodal unipath guided wave feature signals and improve the signal identification, and has broad prospects.

Abstract: The present disclosure relates to a method for ultrasonic guided wave quantitative imaging in a form of variable array and belongs to the technical field of ultrasonic non-destructive testing. The method includes: converting a non-linear lippmann-Schwinger equation into a form of linear summation by a method of moments; and selecting acquisition arrays with different numbers of probes to measure a scattered field signal, and modifying Green's functions by variable born approximation for continuous iterations to approximate a true solution, so as to obtain a final objective function Ok to be solved. According to the present disclosure, by adjusting the arrays, the number of probes and appropriate solution algorithm can be selected based on the testing accuracy; and the method can achieve quantitative evaluation of non-destructive testing, and can be widely used in practical guided wave testing applications of industrial non-destructive testing.

Abstract: An automatic human urine detection system comprises a control module, a urine collection module, a detection module, an output module and a cleaning module. The control module controls operation of the system and comprises an instruction input unit. The urine collecting module is used for collecting urine to be detected; the detection module comprises a detection probe holder which is used for detecting the urine to be collected and obtains a corresponding detection report according to a detection result; the output module is used for outputting the detection report; and the cleaning module is used for cleaning system components through which the urine flows or is stored in the system. The automatic human urine detection system integrates automatic collection and subsequent automatic detection of human urine, the whole urinalysis process is effectively simplified, the operation process is humanized, and the user experience is good.

Abstract: A device and method for measuring respiratory air flow of a subject are provided. The device includes a hollow member having a proximal end, a distal end and a flow passage formed between the proximal and distal ends. The proximal end is configured to be received in a mouth of a subject. A flow sensor, such as thermal mass flow sensor, is disposed in the flow passage and configured to sense characteristics of an air flow in the flow passage. A processor is communicatively coupled to the flow sensor and configured to determine, based on an output from the flow sensor, whether the sensed characteristics of the air flow correspond to predetermined parameters.

Abstract: An automatic human urine detection system comprises a control module, a urine collection module, a detection module, an output module and a cleaning module. The control module controls operation of the system and comprises an instruction input unit. The urine collecting module is used for collecting urine to be detected; the detection module comprises a detection probe holder which is used for detecting the urine to be collected and obtains a corresponding detection report according to a detection result; the output module is used for outputting the detection report; and the cleaning module is used for cleaning system components through which the urine flows or is stored in the system. The automatic human urine detection system integrates automatic collection and subsequent automatic detection of human urine, the whole urinalysis process is effectively simplified, the operation process is humanized, and the user experience is good.

Abstract: A membrane keyboard scan circuit, a scan method and a keyboard having the same are provided. A row scan-port circuit of the scan circuit comprises a first and a second select branches corresponding to a first type of the membrane keyboard and a second type of the membrane keyboard respectively. A column scan-port circuit of the scan circuit comprises a fifth switch connected between a power supply voltage and an output port of the row scan-port circuit and a sixth switch connected between a ground line and the output port. The column scan-port circuit performs a scan output process to provide a row-scan timing signal to a key circuit of the membrane keyboard such that one of the first and the second select branches generates a sensing signal when the key circuit is triggered.

Abstract: A membrane keyboard scan circuit, a scan method and a keyboard having the same are provided. A row scan-port circuit of the scan circuit comprises a first and a second select branches corresponding to a first type of the membrane keyboard and a second type of the membrane keyboard respectively. A column scan-port circuit of the scan circuit comprises a fifth switch connected between a power supply voltage and an output port of the row scan-port circuit and a sixth switch connected between a ground line and the output port. The column scan-port circuit performs a scan output process to provide a row-scan timing signal to a key circuit of the membrane keyboard such that one of the first and the second select branches generates a sensing signal when the key circuit is triggered.