Equipment fault detection method and device and electronic equipment

Abstract

The invention discloses an equipment fault detection method and device and electronic equipment. The method comprises the steps that the signal type of a signal collected by a target sensor is acquired, and the target sensor is a multi-path sensor; according to the signal type, a circuit connection relation is determined, and a target circuit is connected with a target sensor to obtain a signal collected by the target sensor; a relay switch is controlled to enable the target circuit to be connected according to the circuit connection relation, a plurality of synchronous alternating-current electric signals collected by the target sensor are obtained, and the synchronous alternating-current electric signals correspond to multiple paths of the target sensor one to one; determining bias voltage values respectively corresponding to the plurality of synchronous alternating current electric signals; and according to the plurality of bias voltage values, determining a fault result of whether the target equipment has a fault. According to the method and the device, the technical problem that whether a fault exists in the equipment is difficult to determine conveniently, quickly and accurately in related technologies is solved.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to a method and device for detecting a fault of an equipment, and an electronic device. Background Art

[0002] As international oil prices continue to rise, the demand for oil service equipment is increasing. As important large-scale production equipment in the oil service industry, mechanical equipment has raised the need to detect whether there are faults in mechanical equipment. However, when detecting mechanical equipment in related technologies, it is difficult to conveniently, quickly and accurately determine whether there is a fault in the equipment. This problem needs to be solved urgently.

[0003] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0004] The embodiments of the present invention provide a method and apparatus for detecting a fault in a device, and an electronic device, so as to at least solve the technical problem in the related art that it is difficult to conveniently, quickly and accurately determine whether a fault exists in the device.

[0005] According to one aspect of an embodiment of the present invention, a method for detecting a fault of a device is provided, comprising: obtaining a signal type of a signal collected by a target sensor, wherein the target sensor is a multi-channel sensor, the target sensor is arranged on a target device, and the signal type is one of the following: a vibration signal, a key phase signal; determining a circuit connection relationship according to the signal type, wherein the circuit connection relationship includes one of the following: a first connection relationship, a second connection relationship, the first connection relationship being a connection relationship in which an AC de-DC capacitor is connected to a target circuit, the second connection relationship being a connection relationship in which the AC de-DC capacitor is not connected to the target circuit, the target circuit being connected to the target sensor to obtain a signal collected by the target sensor; controlling a relay switch to connect the target circuit according to the circuit connection relationship, and obtaining a plurality of synchronous AC signals collected by the target sensor, wherein the plurality of synchronous AC signals correspond one-to-one to the plurality of channels of the target sensor; determining bias voltage values ​​respectively corresponding to the plurality of synchronous AC signals; and determining a fault result of whether the target device is faulty according to the plurality of synchronous AC signals when the plurality of bias voltage values ​​are all lower than a first threshold.

[0006] Optionally, acquiring multiple synchronous AC signals collected by the target sensor includes: in the case of including multiple acquisition modules, controlling the main acquisition module to collect the electrical signal of the target sensor according to a predetermined timing frequency to obtain a first sub-AC signal, wherein the multiple acquisition modules include the main acquisition module and a controlled acquisition module; controlling the main acquisition module to send an acquisition instruction to the controlled acquisition module to control the controlled acquisition module to collect the electrical signal of the target sensor according to the predetermined timing frequency to obtain a second sub-AC signal; and obtaining the multiple synchronous AC signals based on the first sub-AC signal and the second sub-AC signal.

[0007] Optionally, acquiring multiple synchronous AC power signals collected by the target sensor includes: when including multiple collection modules, determining multiple times when multiple sub-AC power signals are received; and obtaining the multiple synchronous AC power signals when the differences between the multiple times are all less than a second threshold.

[0008] Optionally, the acquiring of multiple synchronous AC electrical signals acquired by the target sensor comprises: in the case of including multiple acquisition modules, controlling the multiple acquisition modules to acquire the electrical signals of the target sensor respectively according to corresponding timing frequencies to obtain multiple initial AC electrical signals, wherein the timing frequencies corresponding to the multiple acquisition modules are different, and the timing frequencies corresponding to the multiple acquisition modules have a least common multiple; from the multiple initial AC electrical signals, screening electrical signals with the same receiving time to obtain the multiple synchronous AC electrical signals.

[0009] Optionally, determining the bias voltage values ​​corresponding to the multiple synchronous AC power signals respectively includes: using Fourier transform to convert the multiple synchronous AC power signals in the time domain respectively to obtain multiple frequency domain signals in the frequency domain; and extracting the DC components in the multiple frequency domain signals respectively to obtain the multiple bias voltage values.

[0010] Optionally, determining the bias voltage values ​​respectively corresponding to the multiple synchronous AC signals includes: inputting the multiple synchronous AC signals into a follower circuit to obtain multiple second AC signals, wherein the multiple synchronous AC signals correspond one-to-one to the multiple second AC signals; inputting the multiple second AC signals into an analog-to-digital conversion circuit to obtain multiple digital signals, wherein the acquisition frequency of the analog-to-digital conversion circuit is at least twice the highest frequency component of the signal, and the multiple second AC signals correspond one-to-one to the multiple digital signals; and obtaining the multiple bias voltage values ​​based on the corresponding DC components in the multiple digital signals.

[0011] Optionally, a first direct current signal emitted by a power supply is obtained; the first direct current signal is converted into a second direct current signal through a direct current chopper circuit, wherein the second direct current signal is a supply electrical signal required by the target sensor; a noise filtering operation is performed on the second direct current through a low voltage difference linear regulator to obtain a third direct current signal; and power is supplied to the target sensor according to the third direct current signal.

[0012] According to one aspect of an embodiment of the present invention, a fault detection device for a device is provided, comprising: an acquisition module, used to acquire a signal type of a signal collected by a target sensor, wherein the signal type is one of the following: a vibration signal, a key phase signal; a first determination module, used to determine a circuit connection relationship according to the signal type, wherein the circuit connection relationship includes one of the following: a first connection relationship, a second connection relationship, wherein the first connection relationship is a connection relationship in which an AC de-DC capacitor is connected to a target circuit, and the second connection relationship is a connection relationship in which the AC de-DC capacitor is not connected to a target circuit, and the target circuit is connected to the target sensor to acquire the signal collected by the target sensor; a control module, used to control a relay switch to connect the target circuit according to the circuit connection relationship, and acquire a plurality of synchronous AC signals collected by the target sensor, wherein the plurality of synchronous AC signals correspond one-to-one to multiple channels of the target sensor; a second determination module, used to determine bias voltage values ​​corresponding to the plurality of synchronous AC signals respectively; and a third determination module, used to determine a fault result of whether the target device is faulty according to the plurality of synchronous AC signals when the plurality of bias voltage values ​​are all lower than a first threshold.

[0013] According to one aspect of an embodiment of the present invention, there is provided an electronic device, comprising: a processor; and a memory for storing instructions executable by the processor; wherein the processor is configured to execute the instructions to implement the fault detection method of the device described in any one of the above.

[0014] According to one aspect of an embodiment of the present invention, a computer-readable storage medium is provided. When instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device can execute any of the above-mentioned device fault detection methods.

[0015] In an embodiment of the present invention, the signal type of the target sensor acquisition signal is obtained, wherein the target sensor is a multi-channel sensor, the target sensor is set on the target device, and the signal type is one of the following: vibration signal, key phase signal; according to the signal type, the circuit connection relationship is determined, wherein the circuit connection relationship includes one of the following: a first connection relationship, a second connection relationship, the first connection relationship is a connection relationship in which the AC de-DC capacitor is connected to the target circuit, and the second connection relationship is a connection relationship in which the AC de-DC capacitor is not connected to the target circuit, and the target circuit is connected to the target sensor to obtain the signal collected by the target sensor; the relay switch is controlled to connect the target circuit according to the circuit connection relationship, and multiple synchronous AC signals collected by the target sensor are obtained, wherein the multiple synchronous AC signals correspond to the multiple channels of the target sensor one by one; and the bias voltage values ​​corresponding to the multiple synchronous AC signals are determined. When the multiple bias voltage values ​​are all lower than the first threshold value, the failure result of whether the target device is faulty is determined based on the multiple synchronous AC signals. It can be seen that it can determine the type of signal that the sensor can collect, and can quickly connect the circuit so that the sensor can collect data and then perform detection, thereby achieving a fast effect. Moreover, it can collect multiple synchronous AC signals, so that the determined signals are synchronized, thereby making the fault determination more accurate, avoiding the problem of fault judgment errors caused by the asynchronous collected electrical signals, and achieving accurate results. In addition, when multiple bias voltage values ​​are all lower than the first threshold, the fault result of whether the target device is faulty is determined based on multiple synchronous AC signals, avoiding the problem of subsequent misjudgment due to excessively high bias voltage. When the bias voltage value is lower than the first threshold, the purpose of determining the fault result is achieved, thereby solving the technical problem in the related technology that it is difficult to conveniently, quickly and accurately determine whether there is a fault in the device. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0017] Figure 1 is a flow chart of a method for detecting a fault of a device according to an embodiment of the present invention;

[0018] Figure 2 is a schematic flow chart of a detection method provided by an optional embodiment of the present invention;

[0019] Figure 3 is a schematic diagram of removing AC noise from a DC power supply provided by an optional embodiment of the present invention;

[0020] Figure 4 is a schematic diagram of a multi-A / D acquisition module provided in an optional embodiment of the present invention;

[0021] Figure 5 is a schematic diagram of interval time calculation provided by an optional embodiment of the present invention;

[0022] Figure 6 is a structural block diagram of a fault detection apparatus for a device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] Example 1

[0026] According to an embodiment of the present invention, an embodiment of a method for fault detection of a device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0027] Figure 1 is a flow chart of a method for detecting a fault of a device according to an embodiment of the present invention. Figure 1 As shown, the method comprises the following steps:

[0028] Step S102, obtaining the signal type of the target sensor acquisition signal, wherein the target sensor is a multi-channel sensor, the target sensor is arranged on the target device, and the signal type is one of the following: vibration signal, key phase signal;

[0029] In step S102 provided in the present application, the signal type of the signal collected by the target sensor is obtained.

[0030] The target sensor is a multi-channel sensor, which refers to a sensor device with multiple ports, each of which can collect data. The multi-channel collection points of the multi-channel sensor can be set at multiple key parts of the target device to monitor and collect multiple parameters or signals at the same time. The target device refers to the device with the multi-channel sensor installed, and the sensor can be used to monitor the operating status or performance of the device.

[0031] Among them, the signals collected by the multi-channel sensors may be vibration signals or key phase signals. Vibration signals refer to physical signals generated by mechanical vibration. In mechanical equipment, vibration is usually caused by the interaction of moving parts or external excitation. Vibration signals can be collected by sensors and used to analyze the operating status of the equipment, fault diagnosis, and predictive maintenance. Key phase signals are generated by contact with a rotating part (such as a shaft or gear) on the equipment. This signal can be used to determine key parameters such as the rotation speed and phase position of the equipment, thereby achieving precise control and monitoring of the equipment.

[0032] By determining different signal types, we can prepare for the subsequent accurate acquisition of signals. By collecting data at different points through multi-channel sensors, we can have a more comprehensive understanding of the operating status of the target equipment. Especially when the target equipment involves complex mechanical structures or moving parts, data at different points can provide more accurate operating status information. Physical signals such as vibration signals and key phase signals can reflect the operating status and performance changes of the equipment. By analyzing and processing these signals, fault diagnosis and predictive maintenance of the equipment can be achieved. The setting of multi-channel sensors can provide more data points and analysis basis, thereby improving the accuracy and reliability of fault diagnosis.

[0033] Step S104, determining a circuit connection relationship according to the signal type, wherein the circuit connection relationship includes one of the following: a first connection relationship, and a second connection relationship, wherein the first connection relationship is a connection relationship in which an AC de-DC capacitor is connected to a target circuit, and the second connection relationship is a connection relationship in which an AC de-DC capacitor is not connected to a target circuit, and the target circuit is connected to a target sensor to obtain a signal collected by the target sensor;

[0034] In step S104 provided in the present application, the circuit connection relationship is determined according to the signal type. The circuit connection relationship describes the connection mode between the components in the circuit, including series connection, parallel connection, bridge connection, etc. In this step, the circuit connection relationship specifically refers to whether an AC de-DC capacitor is connected to affect the transmission and processing of the signal.

[0035] The target circuit refers to a circuit that needs to perform signal processing. It receives signals from the target sensor and performs corresponding operations as needed.

[0036] Among them, AC coupling capacitor is a capacitor used to remove the DC component in the signal. It allows AC signals to pass through while blocking DC signals. It is often used in signal processing circuits to eliminate DC offset caused by power supply or environment.

[0037] Among them, the circuit connection relationship refers to the connection method and order between the components in the circuit. In this embodiment, it includes a first connection relationship and a second connection relationship. The first connection relationship is the connection relationship of the AC de-DC capacitor connected to the target circuit, and the second connection relationship is the connection relationship of the AC de-DC capacitor not connected to the target circuit. That is, it means that the capacitor of the AC coupling removing the DC part is connected or not connected to the entire acquisition circuit. The connection is mainly for collecting AC signals such as vibration signals, while when collecting key phase signals, it is necessary to remove the DC part of the capacitor and not connect it to the entire acquisition circuit.

[0038] Since vibration signals are usually AC signals, they contain information about frequency and amplitude changes, while key phase signals are more likely to be low-frequency or DC signals, which are used to indicate the switch state or position information of the device. AC coupling can filter out the DC component in the signal and only retain the AC signal with frequency changes, which is necessary for the collection and analysis of vibration signals. Key phase signals often need to retain their DC state, so when collecting key phase signals, it is necessary to maintain the DC component of the signal to avoid the influence of AC coupling capacitors on the DC component of the signal. In addition, the vibration signal may carry a DC bias when passing through the sensor. This bias may be the bias voltage of the sensor itself or the DC component introduced during the signal transmission process. AC coupling can block the DC bias through the capacitor and only allow the AC signal to pass. This operation is particularly important when the signal analysis depends on the frequency component of the signal. The DC component of the key phase signal is part of its signal characteristics. If AC coupling is used to remove the DC part, the original characteristics of the key phase signal may be changed, affecting the accuracy of the signal. Therefore, maintaining its DC component when collecting key phase signals can ensure the fidelity of the signal, so that the collected signal can truly reflect the status of the device. Moreover, the impedance of the capacitor in the circuit is related to the frequency. For high-frequency signals (such as vibration signals), the impedance is relatively small, while for low-frequency signals (such as key phase signals), the impedance may become very large, thus affecting the transmission and acquisition of the signal. Therefore, when collecting key phase signals, removing the capacitor from the circuit can avoid the impedance effect generated when the signal passes through the capacitor and reduce signal distortion. For vibration signals, high-pass filtering may be required in the circuit to filter out unnecessary low-frequency noise, while key phase signals may require low-pass filtering or other types of filtering to maintain signal stability and reliability. The switching of AC coupling capacitors can flexibly change the filtering characteristics of the circuit to meet the needs of different signals.

[0039] Therefore, whether the AC removal capacitor is connected can adapt to the characteristics of different signals, ensure the accuracy and fidelity of signal acquisition, and also flexibly adjust the filtering characteristics of the circuit to meet the needs of different types of signal processing.

[0040] Step S106, controlling the relay switch to connect the target circuit according to the circuit connection relationship, and obtaining multiple synchronous AC signals collected by the target sensor, wherein the multiple synchronous AC signals correspond one-to-one to multiple channels of the target sensor;

[0041] In step S106 provided in the present application, the relay switch is controlled to connect the target circuit according to the circuit connection relationship. After the target circuit is connected and running, multiple synchronous AC signals collected by the target sensor are obtained.

[0042] Among them, a relay switch is involved. A relay switch is an electrical control device that realizes the on-off control of a circuit through electromagnetic action. It can include a coil and one or more contacts. When the coil is energized, the contacts will close or open, thereby changing the connection state of the circuit. In turn, multiple synchronous AC signals can be obtained under the corresponding circuit state.

[0043] The synchronous AC signals refer to multiple AC signals having the same starting point and period in time, that is, they are synchronized. In this embodiment, these synchronous AC signals correspond one-to-one to the multiple outputs of the target sensor.

[0044] Step S108, determining bias voltage values ​​corresponding to the plurality of synchronous AC electrical signals respectively;

[0045] In step S108 provided in the present application, bias voltage values ​​corresponding to the plurality of synchronous AC electrical signals are determined.

[0046] Step S110 , when the multiple bias voltage values ​​are all less than the first threshold, determining whether the target device is faulty according to the multiple synchronous AC power signals.

[0047] In step S110 provided in the present application, a method for using multiple synchronous AC signals and their corresponding bias voltage values ​​to determine whether a target device has failed is described. Among them, a bias voltage value is involved, and the bias voltage value refers to a DC voltage component associated with an AC signal. If the bias voltage is too large, the presence of the bias voltage may mean that an unnecessary DC component is included in the sensor output. Here, the bias voltage value is used to determine whether other devices such as sensors have failed, and in the absence of a failure, to determine whether the target device has failed.

[0048] For example, the possible reasons why the bias voltage value exceeds the threshold are as follows: sensor failure, aging, damage or poor connection of components inside the sensor, etc., may cause the bias voltage to increase abnormally. Data acquisition circuit problems, damage to components, poor connection or design defects in the data acquisition circuit may also cause the bias voltage to shift. External environmental factors such as temperature changes and electromagnetic interference may also affect the output of the sensor and cause abnormal bias voltage.

[0049] In the above case, the collected data is also inaccurate, so it is impossible to accurately judge whether the target device is faulty. Therefore, when multiple bias voltage values ​​are all less than the first threshold, it is known that the collected data is fine. Then, the fault result of whether the target device is faulty can be determined based on multiple synchronous AC signals to avoid the problem of incorrect judgment of target device fault.

[0050] Among them, the first threshold is a preset voltage value for comparison with the bias voltage value. The first threshold can be adaptively set according to the actual application and scenario, so as to accurately ensure that the collected data is accurate. It should be noted that the corresponding first threshold is different for different signal types. For example, the first threshold corresponding to the vibration signal may be lower, and the first threshold corresponding to the key phase signal may be higher, because the key phase signal retains a certain DC component, avoiding the problem of misjudgment caused by different signal types. The first threshold corresponding to the key phase signal can be further determined based on the actual application and scenario, and the actual captured signal.

[0051] Through the above steps S102-S110, the signal type of the target sensor acquisition signal is obtained, wherein the target sensor is a multi-channel sensor, the target sensor is set on the target device, and the signal type is one of the following: vibration signal, key phase signal; according to the signal type, the circuit connection relationship is determined, wherein the circuit connection relationship includes one of the following: a first connection relationship, a second connection relationship, the first connection relationship is a connection relationship in which the AC de-DC capacitor is connected to the target circuit, and the second connection relationship is a connection relationship in which the AC de-DC capacitor is not connected to the target circuit, and the target circuit is connected to the target sensor to obtain the signal collected by the target sensor; the relay switch is controlled to connect the target circuit according to the circuit connection relationship, and multiple synchronous AC signals collected by the target sensor are obtained, wherein the multiple synchronous AC signals correspond to the multiple channels of the target sensor one by one; and the bias voltage values ​​corresponding to the multiple synchronous AC signals are determined. When the multiple bias voltage values ​​are all lower than the first threshold, the failure result of whether the target device is faulty is determined based on the multiple synchronous AC signals. It can be seen that it can determine the type of signal that the sensor can collect, and can quickly connect the circuit so that the sensor can collect data and then perform detection, thereby achieving a fast effect. Moreover, it can collect multiple synchronous AC signals, so that the determined signals are synchronized, thereby making the fault determination more accurate, avoiding the problem of fault judgment errors caused by the asynchronous collected electrical signals, and achieving accurate results. In addition, when multiple bias voltage values ​​are all lower than the first threshold, the fault result of whether the target device is faulty is determined based on multiple synchronous AC signals, avoiding the problem of subsequent misjudgment due to excessively high bias voltage. When the bias voltage value is lower than the first threshold, the purpose of determining the fault result is achieved, thereby solving the technical problem in the related technology that it is difficult to conveniently, quickly and accurately determine whether there is a fault in the device.

[0052] In addition, by intelligently identifying the sensor signal type and dynamically adjusting the circuit connection relationship, it is possible to accurately obtain data and thus accurately detect equipment failures, which can be effectively applied to industrial equipment monitoring, fault warning and other fields, improve equipment operation efficiency and reduce maintenance costs. For example, in real-time monitoring of large rotating machinery and other equipment, potential failures can be discovered in a timely manner, equipment downtime can be avoided, and economic losses can be reduced.

[0053] As an optional embodiment, obtaining multiple synchronous AC signals collected by a target sensor includes: in the case of including multiple acquisition modules, controlling a main control acquisition module to collect the electrical signal of the target sensor according to a predetermined timing frequency to obtain a first sub-AC signal, wherein the multiple acquisition modules include a main control acquisition module and a controlled acquisition module; controlling the main control acquisition module to send an acquisition instruction to the controlled acquisition module to control the controlled acquisition module to collect the electrical signal of the target sensor according to a predetermined timing frequency to obtain a second sub-AC signal; and obtaining multiple synchronous AC signals based on the first sub-AC signal and the second sub-AC signal.

[0054] In this embodiment, another method for acquiring synchronous AC electrical signals is described, which describes a case where multiple acquisition modules are included, in which the main acquisition module is controlled to acquire electrical signals of the target sensor according to a predetermined timing frequency, and the main acquisition module controls the controlled acquisition module to perform acquisition.

[0055] Among them, the multiple acquisition modules are multiple A / D conversion modules, each module can independently acquire signals, each module has different ports, and different ports can also independently acquire signals.

[0056] Among them, the multiple acquisition modules include the master acquisition module and the controlled acquisition module. The master acquisition module is the core control module in the system, which can be an FPGA or other chip with high control capabilities, responsible for coordinating and controlling the operation of the entire acquisition system. The controlled acquisition module is an A / D conversion module controlled by the master acquisition module, responsible for acquiring signals according to instructions.

[0057] Among them, the main control acquisition module collects the electrical signal of the target sensor according to the predetermined timing frequency to obtain the first sub-AC signal, that is, the main control acquisition module will perform data acquisition according to the preset sampling frequency to ensure the consistency and accuracy of data acquisition.

[0058] At the same time, the control main acquisition module sends an acquisition instruction to the controlled acquisition module. After receiving the acquisition instruction, the controlled acquisition module will perform data acquisition to obtain the corresponding synchronous AC signal, that is, obtain the second sub-AC signal.

[0059] The acquisition instruction is sent by the master acquisition module to instruct the controlled acquisition module on when to start collecting data or parameter settings. Since the instruction is sent very quickly, it can achieve a nearly synchronous effect.

[0060] Then, multiple synchronous AC signals are obtained based on the first sub-AC signal and the second sub-AC signal. That is, the first sub-AC signal and the second sub-AC signal represent the signals collected by the main control acquisition module and the controlled acquisition module respectively, and these two sub-signals together constitute the final synchronous AC signal set.

[0061] The master acquisition module uniformly controls the timing of signal acquisition, ensuring that the data collected by different acquisition modules are synchronized in time, which can reduce errors caused by time asynchrony. The system can expand the signal acquisition capability by adding controlled acquisition modules without affecting the synchronization of data, which is very beneficial for complex systems that monitor multiple signals. The coordination between the master acquisition module and the controlled acquisition module can effectively improve the efficiency of data acquisition, reduce the delay of data processing, and ensure the ability of real-time monitoring. In addition, the system can flexibly adjust the number and configuration of acquisition modules according to actual needs without large-scale redesign of the entire system.

[0062] As an optional embodiment, multiple synchronous AC signals collected by the target sensor are obtained, including: when multiple collection modules are included, determining multiple times when multiple sub-AC signals are received; when the differences between the multiple times are all less than a second threshold, obtaining multiple synchronous AC signals.

[0063] In this embodiment, another method for acquiring a synchronous AC power signal is described, which describes a case where multiple acquisition modules are included, in which multiple times of receiving multiple sub-AC power signals are determined to acquire a synchronous AC power signal based on the time.

[0064] First, multiple times of receiving multiple sub-AC signals are determined. That is, the time of receiving the signal output by each A / D acquisition module. Since each A / D module may be affected by different environments (such as temperature, power supply fluctuations, etc.), the trigger time of their output signals may be slightly different. In order to achieve data acquisition synchronization, the system needs to be able to accurately measure the trigger moment of each A / D module output signal. The determination of these times usually relies on the monitoring of clock signals and the detection of signal trigger edges to ensure that the signal trigger of each module is accurately captured.

[0065] In actual operation, the serial clock signal (CLK) and logic output signal returned by each A / D module can be monitored through the data acquisition control module (such as FPGA), and the trigger time can be recorded when a specific signal edge (such as rising edge or falling edge) is encountered. These time records are helpful for subsequent time synchronization correction to ensure that all modules work under unified timing control.

[0066] Afterwards, when the differences between multiple times are all less than the second threshold, multiple synchronous AC signals are obtained. When multiple modules collect data synchronously, the time difference is a key indicator to measure the degree of synchronization. Among them, the second threshold is a preset value used to determine whether the time difference between each A / D module is within an acceptable range. If the time difference of all modules is less than this second threshold, it can be considered that these modules have achieved time synchronization, and thus the collected signals can also be considered to be synchronized.

[0067] The second threshold can be set adaptively according to actual experience and scenarios, and the setting of the second threshold needs to be determined according to specific application scenarios and requirements. For example, for a real-time data acquisition system with extremely high requirements, the second threshold may need to be set very small to ensure the real-time and accuracy of the data. Once it is detected that the difference in the acquisition trigger time of all modules is within the second threshold, the system can continue with the next round of data acquisition without introducing errors due to time asynchrony.

[0068] In addition to basic synchronization screening, the system can further correct signal synchronization by fine-tuning the timing. For example, by analyzing the time difference between signals and dynamically adjusting the acquisition timing to compensate for the delay in signal transmission, the synchronization accuracy can be improved.

[0069] As an optional embodiment, obtaining multiple synchronous AC electrical signals collected by a target sensor includes: in the case of including multiple acquisition modules, controlling the multiple acquisition modules to collect electrical signals of the target sensor respectively according to corresponding timing frequencies to obtain multiple initial AC electrical signals, wherein the timing frequencies corresponding to the multiple acquisition modules are different, and the timing frequencies corresponding to the multiple acquisition modules have a least common multiple; from the multiple initial AC electrical signals, screening electrical signals with the same receiving time to obtain multiple synchronous AC electrical signals.

[0070] In this embodiment, another method for obtaining synchronous AC electric signals is described. It describes a case where multiple acquisition modules are included, in which the timing frequencies corresponding to the multiple acquisition modules have the lowest common multiple, and then from multiple initial AC electric signals, electric signals with the same reception time are screened to obtain multiple synchronous AC electric signals.

[0071] That is, in a system including multiple acquisition modules, each acquisition module has its own specific timing frequency to control the data acquisition speed. These timing frequencies can be different, but there should be a least common multiple between them to ensure that all modules have synchronously collected data within a certain period.

[0072] Since the frequency characteristics of different electrical signals may be different, the system should have the ability to dynamically adjust the timing frequency to adapt to the synchronous acquisition requirements of signals with different frequencies. For example, the timing frequency of each acquisition module can be dynamically adjusted through software algorithms to ensure accurate synchronization when processing signals with different frequency characteristics.

[0073] Each acquisition module acquires the electrical signal of the target sensor according to its timing frequency. These signals may not be completely synchronized during acquisition, that is, there may be slight differences in their acquisition starting points and cycles, and the signals acquired separately may also differ in time.

[0074] In subsequent processing, the acquisition system will filter these initial signals and only retain those signals collected at the same receiving time point, thereby ensuring that all acquisition modules collect data at the same time point and achieving signal synchronization.

[0075] In a multi-module synchronous acquisition system, an automatic timing frequency matching module can be added. This module can analyze the frequency characteristics of each acquisition module and automatically adjust their timing frequencies to meet the requirements of the lowest common multiple, reducing the complexity and errors of manual configuration.

[0076] Synchronous acquisition ensures that all signals are collected at the same time point when performing multi-channel signal analysis, which is conducive to data comparison and analysis and improves the accuracy of fault diagnosis. The screening and processing of synchronous signals reduces the complexity of data processing because there is no need to perform additional timing alignment operations for asynchronous signals, thereby improving the efficiency of data processing.

[0077] As an optional embodiment, determining bias voltage values ​​corresponding to multiple synchronous AC power signals respectively includes: using Fourier transform to convert multiple synchronous AC power signals in the time domain respectively to obtain multiple frequency domain signals in the frequency domain; extracting DC components in the multiple frequency domain signals respectively to obtain multiple bias voltage values.

[0078] In this embodiment, a plurality of bias voltage values ​​are obtained by using a Fourier transform operation. Among them, Fourier transform is a mathematical tool widely used in signal processing and data analysis, which is used to convert signals from the time domain to the frequency domain. The signal in the time domain is usually manifested as a waveform that changes with time, while the signal in the frequency domain shows the distribution of different frequency components in the signal. For synchronous AC signals, Fourier transform can reveal the DC component (i.e., zero frequency component) and other frequency components in the signal.

[0079] That is, when Fourier transform is performed on the AC signal in the time domain, the signal is decomposed into a combination of a series of sine waves and cosine waves, the frequencies of which cover from zero frequency (DC component) to the highest frequency of the signal. In the frequency domain, the DC component appears as a peak with a frequency of 0Hz, while other frequency components are distributed at different positions in the spectrum diagram, reflecting the harmonic frequency and amplitude of the signal. In the frequency domain signal, the DC component (usually expressed as the average value of the signal) is particularly important because it can reflect the bias voltage of the signal. By extracting the peak at zero frequency in the frequency domain signal, the DC component of the signal, that is, the bias voltage value, can be directly obtained. In addition, since the Fourier transform can effectively filter out high-frequency noise in the signal, the DC component in the signal can be clearly separated. This is very important for improving the anti-interference ability of the signal, especially in industrial environments, where high-frequency noise is a common source of interference. By operating in the frequency domain, the signal processing parameters can be more accurately controlled and adjusted, further improving the stability and reliability of the data acquisition device, so it can be effectively applied to this scenario.

[0080] Therefore, for multiple synchronous AC signals, each signal can be Fourier transformed separately, and then the respective DC components can be extracted from the frequency domain signal. This processing method is particularly suitable for monitoring multiple data. For example, in the condition monitoring of mechanical equipment, different vibration or electrical signals captured are detected and captured. By extracting their respective bias voltages, it is possible to quickly determine whether the sensor is working properly or whether the signal is interfered with. If the bias voltage value is outside the normal range, it may indicate that there is a fault in the sensor or circuit, such as a damaged sensor, excessive power supply noise, poor circuit connection, etc. This is crucial for the maintenance and care of mechanical equipment, and can detect potential problems in advance and avoid equipment failures or accidents.

[0081] Moreover, analyzing signals in the frequency domain, especially extracting DC components, can greatly simplify the data processing process. Compared with analyzing signals in the time domain, frequency domain analysis can usually provide more intuitive and clearer information, help quickly identify signal features, simplify the data analysis process, and improve the efficiency and accuracy of fault diagnosis. Since Fourier transform can be performed in real time or near real time, the process of extracting bias voltage values ​​can be integrated into the data processing process to achieve real-time monitoring of AC signals. This is especially important for industrial applications that require continuous monitoring of equipment status, which can provide real-time feedback on equipment operating status and take timely measures.

[0082] As an optional embodiment, determining bias voltage values ​​corresponding to multiple synchronous AC signals respectively includes: inputting multiple synchronous AC signals into a follower circuit to obtain multiple second AC signals, wherein the multiple synchronous AC signals correspond one-to-one to the multiple second AC signals; inputting the multiple second AC signals into an analog-to-digital conversion circuit to obtain multiple digital signals, wherein the acquisition frequency of the analog-to-digital conversion circuit is at least twice the highest frequency component of the signal, and the multiple second AC signals correspond one-to-one to the multiple digital signals; and obtaining multiple bias voltage values ​​based on the corresponding DC components in the multiple digital signals.

[0083] In this embodiment, another process for determining the bias voltage value is described. That is, a process of converting multiple synchronous AC signals into digital signals and extracting a DC component (bias voltage value) therefrom. This process can be divided into three main steps: First, follower circuit processing: the follower circuit is usually composed of a voltage follower (such as a follower configuration of an op amp), and its main function is to provide high input impedance and low output impedance to reduce the load influence of the signal source and the attenuation of the signal during transmission. Inputting multiple synchronous AC signals into the follower circuit can ensure the integrity of the signal and avoid the signal being affected by noise or attenuation during subsequent processing. The obtained multiple second AC signals are consistent with the input signal characteristics, and the signal isolation and buffering are achieved at the same time. The second is analog-to-digital conversion (ADC), and the analog-to-digital conversion circuit is used to convert the second AC signal into a digital signal. According to the Nyquist sampling theorem, the sampling frequency is at least twice the highest frequency component of the signal to avoid frequency aliasing. The use of a high-speed ADC can ensure that the high-frequency component of the signal is accurately captured, so that the complete frequency information of the signal can be analyzed in the subsequent digital signal processing. Multiple second AC signals correspond one-to-one with multiple digital signals, which means that each input signal has an independent ADC channel for conversion, ensuring the independence of the signal and the parallelism of processing. The last step is to extract the bias voltage value, that is, based on the digital signal, the DC component in the signal, that is, the bias voltage value, can be extracted through digital signal processing technology (such as Fourier transform). The DC component reflects the average level of the signal, which is very critical for health status monitoring of equipment such as vibration sensors, because it can help determine whether the sensor is working properly. By calculating the DC component of each digital signal, multiple bias voltage values ​​can be obtained, and further analysis can be performed to determine whether these values ​​are beyond the normal range, thereby determining whether the sensor is faulty or abnormal. So that subsequent operations can be performed without abnormalities.

[0084] In this way, the signal integrity and anti-interference can be enhanced. Through the processing of the follower circuit, the interference of the signal during transmission is minimized, ensuring the original characteristics of the signal, and improving the anti-interference ability and transmission efficiency of the signal. The use of high-speed ADC ensures that the high-frequency components of the signal are accurately captured. Extracting the bias voltage value from the digital signal can realize real-time monitoring of the sensor bias voltage. If the bias voltage is abnormal, it can be immediately identified and corresponding measures can be taken, such as alarming or stopping data acquisition, to prevent potential sensor failures or system errors, thereby improving the reliability and safety of the system.

[0085] As an optional embodiment, a first DC power signal emitted by a power supply is obtained; the first DC power signal is converted into a second DC power signal through a DC chopper circuit, wherein the second DC power signal is a supply power signal required by a target sensor; a noise filtering operation is performed on the second DC power through a low voltage difference linear regulator to obtain a third DC power signal; and power is supplied to the target sensor according to the third DC power signal.

[0086] In this embodiment, a first DC signal emitted by a power source is obtained. This DC signal usually comes from a stable DC power source, such as a battery pack, a DC adapter, or a part of a power management system. The original DC signal may have different voltage levels and current capabilities, depending on the actual application scenario.

[0087] The first DC signal is then converted into a second DC signal through a DC chopper circuit. A DC chopper circuit is a power electronic device that converts an input DC voltage into a DC output with different voltage levels through fast switching (chopping) action. It can change the output voltage by adjusting the switching duty cycle. Due to its operating characteristics and design requirements, sensors usually require specific voltage and current conditions to ensure accuracy and reliability, so the first DC signal can be adjusted to the specific voltage and current level (second DC signal) required by the target sensor.

[0088] After that, the second DC power is subjected to noise filtering by a low-dropout linear regulator (LDO) to obtain a third DC power signal. Since a low-dropout linear regulator (LDO) is a linear regulator that can provide a stable output voltage, it is characterized by a small input-output voltage difference and can effectively suppress noise and ripple. Since the second DC power signal may still contain high-frequency noise or ripple even after adjustment by the chopper circuit, these interferences may have a negative impact on the performance of the sensor. Through its internal feedback mechanism and low-impedance output, the LDO can effectively reduce these noise components and provide a purer and more stable DC power supply (third DC power signal), and then power the target sensor based on the third DC power signal. After the above processing, the third DC power signal has the characteristics of high stability and low noise, which is very suitable for powering high-precision sensors.

[0089] Through DC chopping and LDO filtering, the power adaptability problem is effectively solved, noise interference is reduced, and the power supply quality is improved. The stable power supply ensures the stability and accuracy of the sensor, and is suitable for various occasions requiring high-precision measurement. Reasonable voltage regulation and noise management help reduce energy waste and improve the energy efficiency of the entire system.

[0090] Based on the above embodiments and optional embodiments, an optional implementation is provided, which is described in detail below.

[0091] An optional implementation of the present invention provides a method for detecting a fault of a device. Figure 2 is a schematic flow chart of a detection method provided by an optional embodiment of the present invention, such as Figure 2 As shown, it includes multiple modules that work together to complete the method.

[0092] The multiple modules are as follows:

[0093] 1. DC power supply denoising processing module: This module can remove noise from the DC power supply to prevent interference in subsequent data analysis.

[0094] 2. Multi-type acquisition signal switching processing module: This module can automatically switch the data acquisition circuit according to different types of acquisition signals (currently mainly vibration signals and key phase signals).

[0095] 3. Vibration sensor bias voltage abnormality judgment processing module: This module can automatically extract the bias voltage in the collected signal and judge whether the vibration sensor is faulty or abnormal based on the value of the bias voltage.

[0096] 4. Analog filtering processing module: This module can filter out noise in the collected signal, reduce timing errors, etc., to facilitate subsequent A / D conversion processing.

[0097] 5. A / D acquisition module: Perform A / D conversion on the analog filtered signal to convert the analog signal into a digital signal. The conversion frequency is controlled by the timing of the digital acquisition control module.

[0098] 6. Data acquisition control module: The main control module for data acquisition (FPGA chip in this patent, but can also be other chips) communicates with the A / D acquisition module to control the main process of data acquisition, including determining the frequency of data acquisition through the clock.

[0099] 7. Timing control interaction module: The digital acquisition control module interacts with the A / D acquisition module in timing, and controls the data (including diagnostic data and key phase signals) to be collected at the required frequency.

[0100] 8. Analysis and display processing module: perform fault diagnosis and analysis on the collected data (including diagnostic data and key phase signals) to determine the fault type, location, etc., and display the analysis results on the interface.

[0101] Regarding 1. DC power supply denoising processing module.

[0102] When 220V AC is rectified into DC in an outdoor environment, there is AC noise component in the DC (this patent is that there is 50hz AC noise when 220V AC is rectified into 24V DC). There is interference when performing fault diagnosis and analysis on the collected signal later. Consider removing the AC noise in the DC by filtering. Figure 3 Schematic diagram of removing AC noise from a DC power supply provided by an optional embodiment of the present invention, such as Figure 3 As shown, the process includes:

[0103] (1) Connect a DC-DC chopper circuit to convert DC power into another DC power of fixed voltage or adjustable voltage.

[0104] Chips, acquisition sensors, etc. all require a DC power supply. The required DC voltages include but are not limited to 24V, 12V, 5V, 3.3V, etc. The 24V input DC power supply is converted into 24V DC power through a DC-DC chopper circuit for initial noise filtering, and then the 24V input power supply is converted into 12V, 5V, 3.3V, 2.5V, and 1.8V power supplies through multiple DC-DC chopper circuits (i.e., a DC-DC chopper circuit is connected between 24V to 12V, a DC-DC chopper circuit is connected between 24V to 5V, and so on), completing the power supply step-down conversion.

[0105] (2) Connect an LDO (low dropout regulator) circuit to remove noise.

[0106] Each DC voltage (24V, 12V, 5V, 3.3V, 2.5V, 1.8V) obtained by the DC-DC chopper circuit is removed from the noise by an LDO (low dropout linear regulator). The low dropout linear regulator can stabilize the output voltage when the AC power supply voltage or load changes, suppress the ripple voltage, and eliminate the AC noise generated by the power supply.

[0107] If the LDO circuit is directly connected without the DC-DC chopper circuit, the voltage difference will cause excessive current, which will cause the electronic components in the LDO circuit to overheat and be easily damaged.

[0108] For 2, multiple types of acquisition signal switching module.

[0109] The data acquisition signals include two types: vibration signals and key phase signals. The acquisition circuits of the two types of signals can be switched according to actual needs. The capacitor with AC coupling removed from the DC part is connected to the acquisition circuit to collect vibration signals, and the capacitor with AC coupling removed from the DC part is removed from the acquisition circuit to collect key phase signals. The acquisition circuit switching process of the vibration signal and key phase signal can be:

[0110] Method 1: The on-site personnel determine whether to connect the capacitor that removes the DC part of the AC coupling to the entire acquisition circuit through a jumper cap according to the type of signal to be collected. That is, when collecting vibration signals, no processing is performed so that the capacitor that removes the DC part of the AC coupling is connected to the entire acquisition circuit. When collecting key phase signals, a jumper cap is used so that the capacitor that removes the DC part of the AC coupling is not connected to the entire acquisition circuit.

[0111] Method 2: Relays are connected in parallel at both ends of the capacitor that removes the DC part of the AC coupling, and the relay switch automatically controls whether the capacitor that removes the DC part of the AC coupling is connected to the circuit or not. After the on-site personnel determine the type of acquisition signal, they set or select it through the interface of the host computer. The setting or selection result is transmitted to the relay switch through the information communication method of each module to control whether the capacitor that removes the DC part of the AC coupling is connected to the acquisition circuit.

[0112] Regarding 3, vibration sensor bias voltage abnormality judgment module.

[0113] By analyzing the characteristics of the vibration sensor, it can be found that when the vibration sensor fails abnormally, the bias voltage will be abnormal accordingly. The threshold value of the bias voltage abnormality is determined experimentally.

[0114] The following are two ways to collect bias voltage of vibration signals:

[0115] Method 1: Software processing:

[0116] The vibration signal passes through the entire data acquisition circuit to the analysis and display module. The value of the bias voltage is calculated before the signal data is analyzed. The bias voltage calculation process is as follows: the signal after data acquisition is subjected to Fourier (or fast Fourier) transform to convert the time domain signal into the frequency domain, and the zero-frequency signal (the DC part of the signal) is extracted as the bias voltage. If the calculated bias voltage value exceeds the threshold range, it will be determined that the vibration sensor is faulty, and the fault will be reported to the interface to remind the staff and stop the data collection of the vibration signal at the same time.

[0117] This method is to perform Fourier transform detection after the data is transmitted to the software end, which is time-consuming. The following method of direct detection on the hardware end can be considered.

[0118] Method 2: Hardware processing:

[0119] After the DC component of the input signal is removed by the AC coupling circuit, the bias voltage value is calculated. The calculation process is as follows: use a follower circuit to isolate the front and rear stage signals, obtain a low-frequency signal through RC low-pass filtering, and use A / D sampling to obtain the bias voltage value.

[0120] If the calculated bias voltage value exceeds the threshold range, the vibration sensor will be judged to be faulty, and the fault will be reported to the interface to remind the staff and stop the data collection of the vibration signal.

[0121] For 4, analog filtering processing module.

[0122] The analog filtering process includes: resistor voltage reduction, same-direction buffer voltage boost, single-ended to differential conversion, 120khz low-pass filtering and other steps. The resistor voltage reduction part reduces the overall voltage of the collected signal for easy collection; the same-direction buffer voltage boost is used to enhance the signal; the single-ended to differential conversion is because the switching change of the differential signal is located at the intersection of the two signals, unlike the ordinary single-ended signal that relies on high and low threshold voltages for judgment. Therefore, the differential signal is less affected by the process and temperature, which can reduce the timing error and is more suitable for circuits with low amplitude signals; the 120khz low-pass filter is used to remove the interference of high-frequency clutter and reduce the amount of collected data.

[0123] For 5. Digital acquisition timing control module.

[0124] The data acquisition control module sends clock pulse signals and parameter setting signals to the A / D acquisition module in real time to control the acquisition timing. The clock pulse signal of the data acquisition control module controls the clock frequency of the A / D acquisition module, and the parameter setting signal configures the parameters of the A / D acquisition module. The A / D module returns the serial clock timing and logic output timing to the data acquisition control module.

[0125] 5.1 When using a single A / D acquisition module:

[0126] The A / D module returns the data to the data acquisition control module according to the predetermined timing. Among them, CLK is the serial acquisition clock output by the A / D module to the data acquisition control module. The clock is an integer multiple of the clock pulse sent by the data acquisition control module. The serial acquisition clock frequency can be modified by the parameter setting signal of the data acquisition control module; OUT0 to OUT7 are the data outputs of the A / D module to the data acquisition control module, each representing one channel, for a total of 8 channels.

[0127] After receiving the CLK and timing signals, the data acquisition control module determines the trigger logic of data acquisition according to the CLK and timing status to perform data acquisition. For example, the rising edge and falling edge of CLK are used as the trigger logic for data acquisition (other trigger logics of CLK and can also be defined). When the data acquisition control module detects that the trigger logic is met, it indicates that the previous round of data acquisition is completed and a new round of data acquisition begins. The data output frequency is determined according to the pulse of the CLK serial acquisition clock. You can choose each falling edge of CLK (you can also choose the rising edge). The data acquisition control module reads 1 data from each of the 8 channels OUT0 to OUT7. Reading 1 data from each of the 8 channels OUT0 to OUT7 is recorded as collecting a group of data. For example, this patent requires the data acquisition control module to read 32 groups of data per round, that is, read 1 group of data each time according to the 32 pulse falling edges of the CLK serial acquisition clock, and read a total of 32 groups of data.

[0128] The data read from OUT0 to OUT7 by the digital acquisition control module is processed by A / D conversion. The process includes:

[0129] (1) High-speed acquisition:

[0130] The data after analog filtering is collected at high frequency (including vibration signals and key phase signals). According to the Nyquist sampling theorem, this patent uses a sampling frequency far exceeding 120Khz*2 for high frequency collection.

[0131] (2) Low-pass filtering:

[0132] Determine the threshold of the low-pass filter. The commonly used analysis frequency of the vibration signal is 25.6Khz. According to the Nyquist sampling theorem, the threshold of the low-pass filter is set to 25.6 / 2=12.8Khz. The low-pass filter obtains a frequency signal within the frequency of 25.6Khz.

[0133] (3) Sampling extraction:

[0134] In order to reduce the amount of data, the data is sampled and extracted.

[0135] Data combination: In each round of 32 groups of data, the data of each channel are combined to obtain one round of data for each channel, that is, the first data of each of the 32 groups in this round is the collected data of the first channel OUT0, and the collected data of OUT0 in this round is obtained by combination, and so on.

[0136] When the data acquisition control module detects that the trigger logic is met next time, the next round of data acquisition is carried out.

[0137] 5.2 When using multiple A / D acquisition modules to collect data:

[0138] An optional implementation of the present invention uses an 8-channel A / D acquisition module, that is, each A / D module can collect 8-channel signals. When more than 8 channels of signals need to be collected, multiple A / D acquisition modules are required to collect data. For example, when collecting 16 channels of signals, two A / D acquisition modules are required for data collection. Figure 4 Schematic diagram of a multi-A / D acquisition module provided by an optional embodiment of the present invention, such as Figure 4 As shown, this solution is also applicable to more than two A / D modules.

[0139] Solution 1: For ease of description, AD1 is the first A / D acquisition module, AD2 is the second A / D acquisition module, and both A / D modules interact with the digital acquisition control module. The digital acquisition control module simultaneously sends clock pulse signals and parameter setting signals to the two A / D modules. Both A / D acquisition modules return serial clock timing and logic outputs to the digital acquisition control module. The digital acquisition control module determines the trigger logic and clock of data acquisition based on the return signals of the two A / D acquisition modules. The pins in multiple A / D modules are used to simultaneously send data acquisition start commands to multiple A / D modules. After receiving the start acquisition command and starting data acquisition, the A / D modules collect data round by round according to the trigger logic of data acquisition.

[0140] The digital acquisition control module determines the trigger logic for data acquisition. Two A / D modules are involved here. Any one of the A / D modules can be used as the basis, for example, the CLK and timing signal returned by the AD1 module can be used as the basis for data acquisition. When CLK is a rising edge and a falling edge at the same time, it is used as the trigger logic for data acquisition (other trigger logics for CLK and can also be defined).

[0141] When the data acquisition control module detects that the trigger logic is met, it indicates that the previous round of data acquisition is completed and a new round of data acquisition begins. The data output frequency is determined according to the pulse of the CLK serial acquisition clock of AD1. Each falling edge (rising edge) of CLK can be selected. The data acquisition control module reads 1 data from each of the 8 channels from OUT0 to OUT7 of AD1, and continues to read 1 data from each of the 8 channels from OUT0 to OUT7 of AD2. The 16 channels of data collected are recorded as a group of data collected. For example, this patent requires the data acquisition control module to read 32 groups of data per round, that is, according to the 32 falling edges of the CLK serial acquisition clock, 1 group of data is read each time, and a total of 32 groups of data are read.

[0142] The data from OUT0 to OUT7 read from the AD1 module by the digital acquisition control module are processed by the A / D conversion of AD1, and the data from OUT0 to OUT7 read from the AD2 module are processed by the A / D conversion of AD2. The A / D conversion process includes: high-speed acquisition, low-pass filtering, and sampling extraction.

[0143] Data combination: In each round of 32 groups of data, the data of each channel are combined to obtain one round of data for each channel, that is, the first data of each of the 32 groups in this round is the collected data of OUT0 of the first channel of AD1, and the collected data of OUT0 of AD1 in this round is obtained by combination; the 17th data of each of the 32 groups is the collected data of OUT0 of the first channel of AD2, and the collected data of OUT0 of AD2 in this round is obtained by combination, and so on.

[0144] When the data acquisition control module detects that the trigger logic is met next time, the next round of data acquisition is carried out.

[0145] The shortest time interval of the acquisition trigger time of each A / D module exceeds the set threshold, and the acquisition is stopped. The data acquisition start command is sent to all A / D modules through the pin at the same time to resynchronize the acquisition time of each A / D module. Figure 5 is a schematic diagram of interval time calculation provided by an optional embodiment of the present invention, such as Figure 5 As shown, the shortest time interval of the acquisition time at the middle position in the AD1 time waveform relative to the acquisition time of other AD modules is calculated, and if the time interval exceeds a threshold set in advance, a time synchronization correction is performed once.

[0146] The data from OUT0 to OUT7 read by the digital acquisition control module from a certain A / D module are processed by the A / D conversion of the A / D module. The A / D conversion process includes: high-speed acquisition, low-pass filtering, and sampling extraction.

[0147] Data combination: In each round of 32 groups of data, the data of each channel in each A / D module are combined to obtain a round of data for each channel in each A / D module. For example, the first data of each of the 32 groups of AD1 module in this round is the collected data of the first channel OUT0 of the AD1 module. The collected data of OUT0 of AD1 in this round is obtained by combination, and so on.

[0148] When the data acquisition control module detects that the trigger logic of other A / D modules is met, it performs data acquisition for this round of the A / D module.

[0149] The next round of data collection can only be carried out after all A / D modules have completed the current round of data collection.

[0150] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0151] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods of various embodiments of the present invention.

[0152] Example 2

[0153] According to an embodiment of the present invention, there is also provided a device for implementing the fault detection method of the above device. Figure 6 is a structural block diagram of a fault detection device for a device according to an embodiment of the present invention, such as Figure 6 As shown, the device includes: an acquisition module 602, a first determination module 604, a control module 606, a second determination module 608 and a third determination module 610. The device is described in detail below.

[0154] The acquisition module 602 is used to acquire the signal type of the target sensor acquisition signal, wherein the signal type is one of the following: vibration signal, key phase signal; the first determination module 604 is connected to the acquisition module 602, and is used to determine the circuit connection relationship according to the signal type, wherein the circuit connection relationship includes one of the following: a first connection relationship, a second connection relationship, the first connection relationship is the connection relationship of the AC de-DC capacitor connected to the target circuit, and the second connection relationship is the connection relationship of the AC de-DC capacitor not connected to the target circuit, and the target circuit is connected to the target sensor to acquire the signal acquired by the target sensor; the control module 606 is connected to the first determination module 604, and is used to control the relay switch to connect the target circuit according to the circuit connection relationship, and acquire multiple synchronous AC signals acquired by the target sensor, wherein the multiple synchronous AC signals correspond one-to-one to multiple channels of the target sensor; the second determination module 608 is connected to the control module 606, and is used to determine the bias voltage values ​​corresponding to the multiple synchronous AC signals respectively; the third determination module 610 is connected to the second determination module 608, and is used to determine the fault result of whether the target device is faulty according to the multiple bias voltage values.

[0155] It should be noted here that the above-mentioned acquisition module 602, first determination module 604, control module 606, second determination module 608 and third determination module 610 correspond to steps S102 to S110 in the fault detection method of implementing the equipment, and the instances and application scenarios implemented by the multiple modules and corresponding steps are the same, but are not limited to the contents disclosed in the above-mentioned embodiment 1.

[0156] Example 3

[0157] According to another aspect of an embodiment of the present invention, there is provided an electronic device, comprising: a processor; and a memory for storing instructions executable by the processor, wherein the processor is configured to execute instructions to implement any of the above-mentioned device fault detection methods.

[0158] Example 4

[0159] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided. When instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device can execute any of the above-mentioned device fault detection methods.

[0160] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0161] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0162] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0163] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0164] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0165] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0166] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for detecting a fault of an equipment, characterized in that: include: Acquire the signal type of the target sensor acquisition signal, wherein the target sensor is a multi-channel sensor, the target sensor is arranged on the target device, and the signal type is one of the following: vibration signal, key phase signal; Determine a circuit connection relationship according to the signal type, wherein the circuit connection relationship includes one of the following: a first connection relationship and a second connection relationship, wherein the first connection relationship is a connection relationship in which an AC de-DC capacitor is connected to a target circuit, and the second connection relationship is a connection relationship in which the AC de-DC capacitor is not connected to the target circuit, and the target circuit is connected to the target sensor to obtain a signal collected by the target sensor; Controlling the relay switch to connect the target circuit according to the circuit connection relationship, and obtaining a plurality of synchronous alternating current signals collected by the target sensor, wherein the plurality of synchronous alternating current signals correspond one-to-one to multiple channels of the target sensor; Determining bias voltage values ​​corresponding to the plurality of synchronous alternating current signals respectively; In a case where the multiple bias voltage values ​​are all lower than the first threshold, a failure result of whether the target device fails is determined based on the multiple synchronous AC power signals.

2. The method according to claim 1, characterized in that The step of acquiring a plurality of synchronous alternating current signals collected by the target sensor comprises: In the case of including multiple acquisition modules, controlling the main control acquisition module to acquire the electrical signal of the target sensor according to a predetermined timing frequency to obtain a first sub-AC signal, wherein the multiple acquisition modules include the main control acquisition module and the controlled acquisition module; Controlling the main control acquisition module to send an acquisition instruction to the controlled acquisition module, so as to control the controlled acquisition module to acquire the electrical signal of the target sensor according to the predetermined timing frequency to obtain a second sub-AC signal; The plurality of synchronous AC power signals are obtained according to the first AC power sub-signal and the second AC power sub-signal.

3. The method according to claim 1, characterized in that The step of acquiring a plurality of synchronous alternating current signals collected by the target sensor comprises: In the case of including multiple acquisition modules, determining multiple times when multiple sub-AC signals are received; In the case that the differences between the multiple times are all smaller than the second threshold, the multiple synchronous alternating current signals are obtained.

4. The method according to claim 1, characterized in that: The step of acquiring a plurality of synchronous alternating current signals collected by the target sensor comprises: In the case of including multiple acquisition modules, controlling the multiple acquisition modules to respectively acquire the electrical signal of the target sensor according to the corresponding timing frequencies to obtain multiple initial AC electrical signals, wherein the timing frequencies respectively corresponding to the multiple acquisition modules are different, and the timing frequencies respectively corresponding to the multiple acquisition modules have a least common multiple; From the multiple initial AC electrical signals, electrical signals with the same reception time are screened to obtain the multiple synchronous AC electrical signals.

5. The method according to claim 1, characterized in that The determining of bias voltage values ​​respectively corresponding to the plurality of synchronous alternating current signals comprises: Using Fourier transform to transform the multiple synchronous AC electric signals in the time domain respectively to obtain multiple frequency domain signals in the frequency domain; The DC components in the multiple frequency domain signals are respectively extracted to obtain the multiple bias voltage values.

6. The method according to claim 1, characterized in that The determining of bias voltage values ​​respectively corresponding to the plurality of synchronous alternating current signals comprises: Inputting the plurality of synchronous AC signals into a follower circuit to obtain a plurality of second AC signals, wherein the plurality of synchronous AC signals correspond one to one to the plurality of second AC signals; Inputting the plurality of second alternating current signals into an analog-to-digital conversion circuit to obtain a plurality of digital signals, wherein the acquisition frequency of the analog-to-digital conversion circuit is at least twice the highest frequency component of the signal, and the plurality of second alternating current signals correspond one-to-one to the plurality of digital signals; The plurality of bias voltage values ​​are obtained according to the DC components respectively corresponding to the plurality of digital signals.

7. The method according to any one of claims 1 to 6, characterized in that Also includes: Acquire a first direct current signal emitted by a power source; Converting the first DC power signal into a second DC power signal through a DC chopper circuit, wherein the second DC power signal is a supply power signal required by the target sensor; Performing a noise filtering operation on the second direct current by a low voltage drop linear regulator to obtain a third direct current signal; The target sensor is powered according to the third direct current signal.

8. A device for detecting a fault of an equipment, characterized in that: include: An acquisition module, used to acquire the signal type of the target sensor acquisition signal, wherein the signal type is one of the following: a vibration signal, a key phase signal; A first determining module is used to determine a circuit connection relationship according to the signal type, wherein the circuit connection relationship includes one of the following: a first connection relationship and a second connection relationship, wherein the first connection relationship is a connection relationship in which an AC de-DC capacitor is connected to a target circuit, and the second connection relationship is a connection relationship in which the AC de-DC capacitor is not connected to the target circuit, and the target circuit is connected to the target sensor to obtain a signal collected by the target sensor; A control module, used for controlling the relay switch to connect the target circuit according to the circuit connection relationship, and obtaining a plurality of synchronous alternating current signals collected by the target sensor, wherein the plurality of synchronous alternating current signals correspond one-to-one to the plurality of channels of the target sensor; A second determination module, used to determine bias voltage values ​​corresponding to the multiple synchronous AC electrical signals respectively; The third determination module is used to determine the fault result of whether the target device is faulty according to the multiple synchronous AC power signals when the multiple bias voltage values ​​are all lower than the first threshold.

9. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the fault detection method of the device according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: When the instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the fault detection method of the device according to any one of claims 1 to 7.

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