Characteristic index calculation method and electronic equipment

Abstract

The embodiment of the invention provides a feature index calculation method and electronic equipment, and relates to the technical field of mechanical equipment monitoring. The wireless working condition sensor is additionally arranged in the state monitoring system and used for collecting the rotating speed information of the mechanical equipment, the obtained rotating speed information is more accurate, the rotating speed information and vibration information at the current moment are used for calculating characteristic indexes for the mechanical equipment running at the steady-state rotating speed, and the rotating speed information and vibration information at the current moment are used for calculating characteristic indexes for the mechanical equipment running at the unsteady-state rotating speed. The characteristic indexes are calculated by using the rotating speed information and the vibration information at the previous moment, so that the more accurate characteristic indexes are calculated through the accurate rotating speed information, and the state detection of the state monitoring system on the mechanical equipment is more accurate.

Description

Technical Field

[0001] The present invention relates to the technical field of mechanical equipment monitoring, and in particular to a characteristic index calculation method and electronic equipment. Background Art

[0002] At present, equipment status monitoring systems have been widely used in industries with a large number of mechanical equipment, such as petrochemicals, steel, wind power, metallurgy, coal, and cement. They are an important part of the digital transformation of enterprises, greatly improving the equipment management and information level of enterprises, and are an important tool to ensure the safe production of enterprises. Most equipment status monitoring systems are composed of: wireless vibration sensors, communication stations / data collectors, on-site servers, platform monitoring systems, etc. The monitoring process mainly includes: wireless vibration sensors collect waveform data, obtain speed data, calculate characteristic indicators, and transmit the calculated characteristic indicators to the server. The platform monitoring system calculates the corresponding equipment health status and operation risk coefficient based on all indicator data to realize the monitoring and early warning functions of the equipment operation status.

[0003] However, in the existing condition monitoring system using wireless vibration sensors, the rotation speed used for characteristic index calculation is generally to find a spectrum line with higher amplitude energy in the low-frequency band of the vibration spectrum, and use the frequency of the spectrum line as the rotation speed. The logic of finding and identifying the rotation speed is ambiguous. The rotation speed identified by this method is not accurate, and the accuracy of the corresponding characteristic index will also be low. Summary of the invention

[0004] In view of this, an object of an embodiment of the present invention is to provide a characteristic index calculation method and an electronic device to at least partially improve the above problem.

[0005] In order to achieve the above purpose, the technical solution adopted by the embodiment of the present invention is as follows:

[0006] In a first aspect, an embodiment of the present invention provides a characteristic index calculation method, which is applied to a wireless vibration sensor of a condition monitoring system, wherein the condition monitoring system further includes a server connected to the wireless vibration sensor in communication, and a wireless working condition sensor connected to the server in communication, wherein the method includes:

[0007] Determine whether the operation scenario of the mechanical equipment is steady-state speed operation; the steady-state speed operation indicates that the speed of the mechanical equipment is stable within a set time;

[0008] If yes, collect the first vibration information at the current moment, and obtain the first rotation speed information collected by the wireless working condition sensor at the current moment from the server, and calculate the characteristic index based on the first vibration information and the first rotation speed information;

[0009] If not, collect the second vibration information at the current moment, and obtain the second speed information collected by the wireless operating condition sensor at the current moment from the server, cache the second speed information and the second vibration information, and obtain the second speed information and the second vibration information cached at the previous moment, and calculate the characteristic indicator based on the second speed information and the second vibration information cached at the previous moment.

[0010] Optionally, the collecting of the first vibration information at the current moment, and obtaining from the server the first rotation speed information collected by the wireless operating condition sensor at the current moment, and calculating the characteristic index based on the first vibration information and the first rotation speed information include:

[0011] Collecting first vibration information at the current moment and obtaining a historical steady-state speed, and calculating an alternative indicator according to the first vibration information and the historical steady-state speed;

[0012] Acquire first speed information currently collected by the wireless operating condition sensor from the server, and determine whether the first speed information matches the historical steady-state speed;

[0013] If so, use the candidate indicator as a characteristic indicator;

[0014] If not, the candidate index is deleted, and the characteristic index is calculated according to the first rotation speed information and the first vibration information.

[0015] Optionally, calculating the characteristic index according to the first rotation speed information and the first vibration information includes:

[0016] Determining whether the first speed information is continuously variable speed;

[0017] If yes, resample the first speed information and the first vibration information to obtain processed resampled speed information and processed resampled vibration information, and calculate the characteristic index based on the processed resampled speed information and the processed resampled vibration information;

[0018] If not, the characteristic index is calculated according to the rotation speed value of the first rotation speed information and the first vibration information.

[0019] Optionally, the resampling process includes downsampling and equal-angle sampling, and the resampling process is performed on the first speed information and the first vibration information to obtain processed resampled speed information and processed resampled vibration information, and the characteristic index is calculated based on the processed resampled speed information and the processed resampled vibration information, including:

[0020] Downsampling is performed on the first rotation speed information to obtain resampled rotation speed information after downsampling; the downsampling represents reducing the acquisition frequency for data acquisition;

[0021] According to the resampled rotation speed information after downsampling, the first vibration information before processing is sampled at equal angles to obtain resampled vibration information;

[0022] The characteristic index is calculated according to the resampled rotation speed information and the resampled vibration information.

[0023] Optionally, the step of determining whether the first speed information is continuously variable includes:

[0024] Divide the first speed information into equal parts according to a preset number to obtain the preset number of sub-speed information;

[0025] Calculate the average speed of each sub-speed information, and find the maximum average speed and the minimum average speed among the average speeds;

[0026] When the difference between the maximum average speed and the minimum average speed is greater than a preset threshold, it is determined that the first speed information is continuously variable;

[0027] When the difference between the maximum average speed and the minimum average speed is not greater than a preset threshold, it is determined that the first speed information is not a continuous speed change.

[0028] In a second aspect, an embodiment of the present invention provides a characteristic index calculation method, which is applied to a server of a condition monitoring system, wherein the condition monitoring system further includes a wireless working condition sensor and at least one wireless vibration sensor that are communicatively connected to the server, and the method includes:

[0029] Determine whether the operation scenario of the mechanical equipment is steady-state speed operation; the steady-state speed operation indicates that the speed of the mechanical equipment is stable within a set time;

[0030] If so, obtain the alternative index calculated by each of the wireless vibration sensors at the current moment, the first vibration information collected by each of the wireless vibration sensors, and the first speed information collected by the wireless operating condition sensor, and calculate the characteristic index corresponding to each of the wireless vibration sensors based on the alternative index, each of the first vibration information, and the first speed information; the alternative index is calculated by the wireless vibration sensor according to the first vibration information and the historical steady-state speed;

[0031] If not, obtain the second vibration information collected by each of the wireless vibration sensors at the current moment and the second speed information collected by the wireless operating condition sensor, cache the second speed information and each of the second vibration information, and obtain the second speed information and each of the second vibration information cached at the previous moment, and calculate the characteristic indicators corresponding to each of the wireless vibration sensors based on the second speed information and each of the second vibration information cached at the previous moment.

[0032] Optionally, the step of obtaining the candidate indicators calculated by each of the wireless vibration sensors at the current moment, the first vibration information collected by each of the wireless vibration sensors, and the first rotation speed information collected by the wireless operating condition sensor, and calculating the characteristic indicators corresponding to each of the wireless vibration sensors based on the candidate indicators, the first vibration information, and the first rotation speed information includes:

[0033] Acquire the candidate index calculated by each of the wireless vibration sensors at the current moment, the first vibration information collected by each of the wireless vibration sensors, and the first rotation speed information collected by the wireless operating condition sensor;

[0034] Determining whether the first speed information matches the historical steady-state speed;

[0035] If so, taking each of the candidate indicators as a characteristic indicator corresponding to each of the wireless vibration sensors;

[0036] If not, delete each of the candidate indicators, and calculate the characteristic indicator corresponding to each of the wireless vibration sensors according to the first rotation speed information and each of the first vibration information.

[0037] Optionally, calculating a characteristic index corresponding to each of the wireless vibration sensors according to the first rotation speed information and each of the first vibration information includes:

[0038] Determining whether the first speed information is continuously variable speed;

[0039] If yes, downsample the first speed information to obtain resampled speed information after downsampling; perform equal-angle sampling on each of the first vibration information before processing according to the resampled speed information to obtain each resampled vibration information, and calculate the characteristic index corresponding to each of the wireless vibration sensors according to the resampled speed information and each of the resampled vibration information;

[0040] If not, the characteristic index corresponding to each of the wireless vibration sensors is calculated according to the rotation speed value of the first rotation speed information and each of the first vibration information.

[0041] In a third aspect, an embodiment of the present invention provides a characteristic index calculation method, which is applied to a condition monitoring system, wherein the condition monitoring system includes a server, a wireless working condition sensor connected to the server for communication, and at least one wireless vibration sensor, and the method includes:

[0042] When the operation scenario of the mechanical equipment is steady-state speed operation, each of the wireless vibration sensors collects the first vibration information at the current moment and obtains the historical steady-state speed, and calculates the respective candidate indicators according to each of the first vibration information and the historical steady-state speed, and uploads each of the candidate indicators to the server; the steady-state speed operation indicates that the speed of the mechanical equipment is stable and unchanged within a set time period;

[0043] The wireless operating condition sensor collects first rotation speed information at the current moment and uploads it to the server;

[0044] The server receives each of the candidate indicators and the first speed information, and determines whether the first speed information matches the historical steady-state speed;

[0045] When the first speed information does not match the historical steady-state speed, the server deletes each of the candidate indicators and sends the first speed information to each of the wireless vibration sensors;

[0046] Each of the wireless vibration sensors receives the first rotation speed information, and calculates a corresponding characteristic index according to the first rotation speed information and each of the first vibration information, and uploads each of the characteristic indexes to the server.

[0047] In a fourth aspect, an embodiment of the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method described in any one of the first aspect or the second aspect is implemented.

[0048] A characteristic index calculation method and electronic device provided in an embodiment of the present invention add a wireless operating condition sensor to a state monitoring system to collect the rotational speed information of mechanical equipment, so that the obtained rotational speed information is more accurate. For mechanical equipment running at a steady speed, the characteristic index is calculated using the rotational speed information and vibration information at the current moment. For mechanical equipment running at a non-steady speed, the characteristic index is calculated using the rotational speed information and vibration information at the previous moment. Thus, more accurate characteristic indicators are calculated through accurate rotational speed information, thereby making the state monitoring system more accurate in detecting the state of the mechanical equipment.

[0049] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0051] Figure 1 A schematic structural block diagram of an electronic device provided by an embodiment of the present invention;

[0052] Figure 2 A schematic structural block diagram of a state monitoring system provided by an embodiment of the present invention;

[0053] Figure 3 A schematic diagram of a flow chart of a characteristic index calculation method provided by an embodiment of the present invention;

[0054] Figure 4 Another schematic diagram of a flow chart of a characteristic index calculation method provided by an embodiment of the present invention;

[0055] Figure 5 A schematic diagram of the process of S420 provided in an embodiment of the present invention;

[0056] Figure 6 A schematic diagram of the process of S424 provided in an embodiment of the present invention;

[0057] Figure 7 Another schematic diagram of a flow chart of a characteristic index calculation method provided by an embodiment of the present invention.

[0058] Icons: 100 - electronic device; 101 - memory; 102 - communication interface; 103 - processor; 104 - bus; 200 - condition monitoring system; 210 - server; 220 - wireless vibration sensor; 230 - wireless working condition sensor. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions 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 part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0060] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. At the same time, in the description of the present invention, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0062] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0063] As described in the background technology, in the existing status monitoring system using wireless vibration sensors, the rotation speed used for characteristic index calculation is generally to find a spectrum line with higher amplitude energy in the low-frequency band area of ​​the vibration spectrum, and use the frequency of the spectrum line as the rotation speed. The logic of finding and identifying the rotation speed is ambiguous. The rotation speed identified by this method is not accurate, and the accuracy of the corresponding characteristic index will also be low.

[0064] Based on the above situation, an embodiment of the present invention provides a characteristic index calculation method and an electronic device. By adding a wireless operating condition sensor to the state monitoring system to collect the speed information of the mechanical equipment, the obtained speed information is more accurate. For the mechanical equipment running at a steady speed, the speed information and vibration information at the current moment are used to calculate the characteristic index. For the mechanical equipment running at a non-steady speed, the speed information and vibration information at the previous moment are used to calculate the characteristic index. Therefore, more accurate characteristic indicators can be calculated through accurate speed information, thereby making the state monitoring system more accurate in detecting the state of the mechanical equipment.

[0065] To implement the process steps and functions of each example of the present invention, please refer to Figure 1 , Figure 1 A schematic structural block diagram of an electronic device provided by an embodiment of the present invention. The electronic device 100 includes a memory 101 and a processor 103, and the memory 101 and the processor 103 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, these elements can be electrically connected to each other through one or more communication buses 104 or signal lines. The memory 101 can be used to store software programs and modules, and the processor 103 executes the software programs and modules stored in the memory 101 to perform various functional applications and data processing.

[0066] The electronic device 100 may be, but is not limited to, a personal computer (PC), a server, a distributed computer, etc. It is understandable that the electronic device 100 is not limited to a physical server, but may also be a virtual machine on a physical server, a virtual machine built on a cloud platform, etc., which can provide the same functions as the server or virtual machine. The operating system of the electronic device 100 may be, but is not limited to, a Windows system, a Linux system, etc.

[0067] Among them, the memory 101 can be, but is not limited to, a random access memory (RAM), a read only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable read-only memory (EEPROM), etc.

[0068] The communication connection between the electronic device 100 and an external device is achieved through at least one communication interface 102 (which can be wired or wireless).

[0069] The processor 103 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the embodiment of the present invention can be completed by the hardware integrated logic circuit in the processor 103 or the instructions in the form of software. The processor 103 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0070] Understandably, Figure 1 The structure shown is for illustration only. The electronic device 100 may also include Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown. Figure 1 Each component shown in the figure can be implemented by hardware, software or a combination thereof.

[0071] The following is an exemplary description of the characteristic index calculation method provided by the present invention.

[0072] Embodiment 1

[0073] Figure 2 A schematic structural block diagram of a state monitoring system provided by an embodiment of the present invention is shown in FIG. Figure 2 The characteristic index calculation method is applied to a condition monitoring system 200, which includes a server 210, a wireless working condition sensor 230 and at least one wireless vibration sensor 220 connected to the server for communication. The method includes: Figure 3 The following steps are shown:

[0074] S310: When the operation scenario of the mechanical equipment is steady-state speed operation, each wireless vibration sensor collects the first vibration information at the current moment and obtains the historical steady-state speed, and calculates its own candidate index based on each first vibration information and the historical steady-state speed, and uploads each candidate index to the server. Among them, steady-state speed operation indicates that the speed of the mechanical equipment is stable within a set time.

[0075] Among them, in actual operation, before the condition monitoring system goes online, the historical steady-state speed data is accumulated for a period of time. During this period, the historical steady-state speed is determined based on the speed information collected by the wireless operating condition sensor for use in subsequent characteristic index calculations, and is updated in real time and dynamically based on the speed information subsequently collected by the wireless operating condition sensor.

[0076] It is understandable that when the operation scenario of the mechanical equipment is steady-state speed operation, the speed obtained each time is likely to be the same. Therefore, in this scenario, each wireless vibration sensor only needs to collect its own first vibration information at the current moment and compare it with the historical steady-state speed to calculate the required characteristic index as an alternative index. The alternative index is uploaded to the server.

[0077] S320: The wireless operating condition sensor collects first rotation speed information at the current moment and uploads it to the server.

[0078] The wireless operating condition sensor can calculate accurate speed data by collecting the motor leakage magnetic signal.

[0079] Optionally, a wireless speed sensor can be used to obtain accurate speed data. However, general speed sensors measure pulse signals based on optical / eddy current methods. This method requires the sensor to work continuously, consumes a lot of power, and cannot guarantee continuous long-term operation of the sensor. At the same time, the stability of the data collected by the speed sensor is poor.

[0080] S330: The server receives each candidate indicator and the first speed information, and determines whether the first speed information matches the historical steady-state speed.

[0081] The server matches the received first rotation speed information with the historical steady-state rotation speed, and determines whether the first rotation speed information matches the historical steady-state rotation speed.

[0082] S340: When the first rotation speed information does not match the historical steady-state rotation speed, the server deletes each candidate indicator and sends the first rotation speed information to each wireless vibration sensor.

[0083] When the first speed information does not match the historical steady-state speed, it means that the first speed information at the current moment is significantly different from the historical steady-state speed. Therefore, the alternative indicators calculated by the wireless vibration sensor based on the historical steady-state speed are not accurate. It is necessary to delete each alternative indicator and send the first speed information to each wireless vibration sensor so that each wireless vibration sensor can recalculate the characteristic indicator based on the first speed information.

[0084] S350: Each wireless vibration sensor receives the first rotation speed information, and calculates a corresponding characteristic index according to the first rotation speed information and each first vibration information, and uploads each characteristic index to the server.

[0085] Each wireless vibration sensor receives the first speed information at the current moment, recalculates its corresponding characteristic index, and uploads each characteristic index to the server. The server can send each characteristic index to the platform that needs to display the status of the mechanical equipment, and can also input each characteristic index into the alarm algorithm for early warning.

[0086] It can be understood that when the first rotation speed information matches the historical steady-state rotation speed, there is no need to recalculate the characteristic index, and each candidate index is used as the characteristic index corresponding to each wireless vibration sensor.

[0087] The method collects the first speed information at the current moment through the wireless working condition sensor, which can make the speed information collection more accurate, and calculates the alternative characteristic index through the vibration information and historical steady-state speed collected by each wireless vibration sensor. The server can determine whether the characteristic index needs to be recalculated based on whether the first speed information matches the historical steady-state speed information. By pre-calculating the alternative characteristic index and calculating it by each wireless vibration sensor itself, the processing capability of the index calculation can be accelerated to reduce the processing time of the status monitoring system.

[0088] In a possible implementation, when the first speed information does not match the historical steady-state speed, the server can recalculate the characteristic index. Therefore, each wireless vibration sensor needs to upload the first vibration information collected at the current moment to the server. The server receives each first vibration information, each candidate index and the first speed information. The server directly calculates the characteristic index corresponding to each wireless vibration sensor based on the first speed information and each first vibration information. Using the server to recalculate the characteristic index can reduce the interaction time with each wireless vibration sensor. If the number of cores of the server is less than the number of wireless vibration sensors, the speed at which the server recalculates the characteristic index will be slower than the speed at which each wireless vibration sensor recalculates the characteristic index by itself; if the number of cores of the server is not less than the number of wireless vibration sensors, the server's ability to recalculate the characteristic index will be faster than the speed at which each wireless vibration sensor recalculates the characteristic index by itself, and the communication interaction time can be reduced. When the number of cores of the server is not less than the number of wireless vibration sensors, this will be a preferred solution.

[0089] Furthermore, the characteristic index is recalculated based on the first rotation speed information and each first vibration information, but the first rotation speed information may be continuously variable. From the above, it can be seen that the characteristic index can be recalculated by the server or each wireless vibration sensor.

[0090] Therefore, when each wireless vibration sensor recalculates the characteristic index, the method may further include:

[0091] The server determines whether the first speed information is a continuous speed change.

[0092] If so, the server performs downsampling processing on the first rotation speed information to obtain resampled rotation speed information after downsampling, and sends it to each wireless vibration sensor.

[0093] Each wireless vibration sensor receives the resampled rotation speed information, and performs equal-angle sampling on each first vibration information before processing according to the resampled rotation speed information to obtain each resampled vibration information, and calculates the characteristic index corresponding to each wireless vibration sensor according to the resampled rotation speed information and each resampled vibration information.

[0094] If not, the characteristic index corresponding to each wireless vibration sensor is calculated according to the rotation speed value of the first rotation speed information and each first vibration information.

[0095] Among them, the method of determining whether it is a continuous speed change can be: calculate the average speed of each sub-speed information, and find the maximum average speed and the minimum average speed among each average speed; when the difference between the maximum average speed and the minimum average speed is greater than the preset threshold, it is determined that the first speed information is a continuous speed change; when the difference between the maximum average speed and the minimum average speed is not greater than the preset threshold, it is determined that the first speed information is not a continuous speed change.

[0096] For example, 0.3 seconds of speed data is collected at a sampling frequency of 2560 Hz, and the 0.3 seconds of data is divided into 100 equal parts. The speed value of each part is calculated separately, and then it is calculated whether the fluctuation range of these 100 speed values ​​exceeds the standard. If it does not exceed the set standard, it is considered to be a steady-state speed. If it exceeds the standard, it is considered to be continuous speed change.

[0097] If the first speed information is continuously variable, each first vibration information also changes accordingly, the spectral lines in the vibration spectrum will be blurred, and it is impossible to find a definite and clear spectral line. The prior art cannot identify the speed, and correspondingly cannot calculate the characteristic index. This embodiment uses the resampling technology to resample the first speed information and each first vibration information, and then calculates the index, thereby solving the problem that the prior art cannot calculate the index.

[0098] If the first rotation speed information is not continuously variable, the rotation speed value of the first rotation speed information can be used to calculate the characteristic index corresponding to each wireless vibration sensor.

[0099] Similarly, when the server recalculates the characteristic index, the method may further include:

[0100] The server determines whether the first speed information is a continuous speed change.

[0101] If so, the server downsamples the first rotational speed information to obtain resampled rotational speed information after downsampling, and based on the resampled rotational speed information, performs equal-angle sampling on each first vibration information before processing to obtain each resampled vibration information, and calculates the characteristic indicators corresponding to each wireless vibration sensor based on the resampled rotational speed information and each resampled vibration information.

[0102] If not, the characteristic index corresponding to each wireless vibration sensor is calculated according to the rotation speed value of the first rotation speed information and each first vibration information.

[0103] Embodiment 2

[0104] Please refer to Figure 2 , Figure 4 The characteristic index calculation method is applied to the wireless vibration sensor 220 of the condition monitoring system 200, and the wireless vibration sensor can be the above-mentioned electronic device. The condition monitoring system 200 also includes a server 210 connected to the wireless vibration sensor 220 for communication, and a wireless working condition sensor 230 connected to the server 210 for communication. The method includes the following steps: Figure 4 The following steps are shown:

[0105] S410: Determine whether the operation scenario of the mechanical equipment is steady-state speed operation. If yes, execute step S420; if no, execute step S430.

[0106] Among them, steady-state speed operation indicates that the speed of the mechanical equipment remains stable within a set time.

[0107] S420: Collecting first vibration information at the current moment, and acquiring first rotation speed information collected by the wireless working condition sensor at the current moment from the server, and calculating a characteristic index based on the first vibration information and the first rotation speed information.

[0108] Among them, the wireless operating condition sensor can calculate accurate speed data by collecting the motor leakage magnetic signal.

[0109] Optionally, a wireless speed sensor can be used to obtain accurate speed data. However, general speed sensors measure pulse signals based on optical / eddy current methods. This method requires the sensor to work continuously, consumes a lot of power, and cannot guarantee continuous long-term operation of the sensor. At the same time, the stability of the data collected by the speed sensor is poor.

[0110] When the operation scenario of the mechanical equipment is steady-state speed operation, the characteristic index can be calculated using the first vibration information and the first speed information at the current moment.

[0111] S430: Collect the second vibration information at the current moment, and obtain the second speed information collected by the wireless working condition sensor at the current moment from the server, cache the second speed information and the second vibration information, and obtain the second speed information and the second vibration information cached at the previous moment, and calculate the characteristic index based on the second speed information and the second vibration information cached at the previous moment.

[0112] The wireless vibration sensor and the wireless working condition sensor will collect data regularly. After the data is collected, characteristic indicators need to be calculated based on the collected data. For example, the data is collected regularly every 2 hours, and the last moment refers to the moment 2 hours before the current moment.

[0113] When the operation scenario of the mechanical equipment is not steady-state speed operation, the vibration sensor receives the speed information of the working condition sensor at the last moment sent by the server, so the characteristic index of the vibration data at the last moment is calculated based on this speed information. In fact, the characteristic index is calculated one cycle later. The characteristic index is not calculated for the data collected in the current cycle, but the characteristic index of the data of the last cycle is calculated.

[0114] The method collects the first speed information at the current moment or the previous moment through the wireless working condition sensor, so that the speed information can be collected more accurately. When the operation scenario of the mechanical equipment is steady-state speed operation, the characteristic index is calculated through the first speed information at the current moment and the first vibration information. When the operation scenario of the mechanical equipment is not steady-state speed operation, the characteristic index is calculated through the second speed information at the current moment and the second vibration information. The characteristic index can be calculated quickly and accurately according to different operation scenarios.

[0115] When the operation scenario of the mechanical equipment is steady-state speed operation, there are many ways to calculate the characteristic index. In one possible implementation, step S420 may include: Figure 5 The following steps are shown:

[0116] S421: Collecting first vibration information at the current moment and obtaining a historical steady-state speed, and calculating a candidate index according to the first vibration information and the historical steady-state speed.

[0117] Among them, in actual operation, before the condition monitoring system goes online, the historical steady-state speed data is accumulated for a period of time. During this period, the historical steady-state speed is determined based on the speed information collected by the wireless operating condition sensor for use in subsequent characteristic index calculations, and is updated in real time and dynamically based on the speed information subsequently collected by the wireless operating condition sensor.

[0118] S422: Obtain the first speed information currently collected by the wireless operating condition sensor from the server, and determine whether the first speed information matches the historical steady-state speed. If so, execute step S423; if not, execute step S424.

[0119] S423: Using the alternative indicator as a characteristic indicator.

[0120] S424: Delete the candidate index and calculate the characteristic index according to the first rotation speed information and the first vibration information.

[0121] In the steady-state speed operation scenario, the probability that the first speed information matches the historical steady-state speed is high. We first assume that the first speed information obtained at the current moment matches the historical steady-state speed. We first use the first vibration information and the historical steady-state speed to calculate the alternative index. In the steady-state speed operation scenario, the accuracy of the alternative index is high. Often, the alternative index is used as the characteristic index in the end. Before the wireless working condition sensor completes the collection and processing of the first speed information, the alternative index is calculated. In order to make the characteristic index calculation more accurate, the speed information needs to be re-verified. When the first speed information matches the historical steady-state speed, the alternative index is directly used as the characteristic index; when the first speed information does not match the historical steady-state speed, the characteristic index needs to be recalculated based on the first speed information and the first vibration information.

[0122] In another possible implementation, when the first rotation speed information does not match the historical steady-state rotation speed, the wireless vibration sensor may upload the first vibration information to the server, and the server recalculates the characteristic index according to the first vibration information and the first rotation speed information.

[0123] Furthermore, the characteristic index is recalculated based on the first speed information and each first vibration information, but the first speed information may be continuously variable, and the above step S424 may include the following steps: Figure 6 The following steps are shown:

[0124] S4241: Determine whether the first speed information is continuous speed change. If yes, execute step S4242; if no, execute step S4243.

[0125] S4242: resample the first rotation speed information and the first vibration information to obtain processed resampled rotation speed information and processed resampled vibration information, and calculate characteristic indicators based on the processed resampled rotation speed information and the processed resampled vibration information.

[0126] S4243: Calculate a characteristic index according to the rotation speed value of the first rotation speed information and the first vibration information.

[0127] If the first speed information is continuously variable, each first vibration information also changes accordingly, the spectral lines in the vibration spectrum will be blurred, and it is impossible to find a definite and clear spectral line. The prior art cannot identify the speed, and correspondingly cannot calculate the characteristic index. This embodiment uses the resampling technology to resample the first speed information and each first vibration information, and then calculates the index, thereby solving the problem that the prior art cannot calculate the index.

[0128] If the first rotation speed information is not continuously variable, the rotation speed value of the first rotation speed information can be used to calculate the characteristic index corresponding to each wireless vibration sensor.

[0129] In step S4242, the first rotation speed information and the first vibration information are resampled. In order to obtain a clear spectrum, the first vibration information may be sampled at equal angles. Optionally, step S4242 may include:

[0130] Downsampling is performed on the first rotation speed information to obtain resampled rotation speed information after downsampling; downsampling represents reducing the acquisition frequency for data acquisition.

[0131] According to the resampled rotation speed information after downsampling, the first vibration information before processing is sampled at an equal angle to obtain the resampled vibration information.

[0132] The characteristic index is calculated based on the resampled rotation speed information and the resampled vibration information.

[0133] First, the speed information is often collected at a high sampling rate, and the data volume is large. In order to reduce the data volume and processing time, the data is downsampled (i.e., the sampling rate is reduced). The wireless vibration sensor uses the speed information after downsampling to convert the vibration information in the time domain into data corresponding to the rotation angle of the machine, i.e., equal-angle sampling. The spectrum of the resampled waveform data processed by fast Fourier transform can see clear spectral lines. Finally, the characteristic indicators are calculated based on the resampled speed information and resampled vibration information.

[0134] Similarly, the wireless vibration sensor can also upload the first vibration information to the server, and the server processes the data.

[0135] The step of determining whether the first speed information is continuously variable may include:

[0136] The first rotation speed information is equally divided into a preset number to obtain a preset number of sub-rotation speed information.

[0137] Calculate the average speed of each sub-speed information, and find the maximum average speed and the minimum average speed among the average speeds.

[0138] When the difference between the maximum average speed and the minimum average speed is greater than a preset threshold, it is determined that the first speed information is continuously variable.

[0139] When the difference between the maximum average speed and the minimum average speed is not greater than a preset threshold, it is determined that the first speed information is not a continuous speed change.

[0140] For example, 0.3 seconds of speed data is collected at a sampling frequency of 2560 Hz, and the 0.3 seconds of data is divided into 100 equal parts. The speed value of each part is calculated separately, and then it is calculated whether the fluctuation range of these 100 speed values ​​exceeds the standard. If it does not exceed the set standard, it is considered to be a steady-state speed. If it exceeds the standard, it is considered to be continuous speed change.

[0141] It is understandable that when the operation scenario of the mechanical equipment is not steady-state speed operation, and the second speed information at the previous moment is continuous speed change, the above-mentioned step S424 can also be used to calculate the characteristic index.

[0142] Embodiment 3

[0143] Please refer to Figure 2 , Figure 7 The characteristic index calculation method is applied to a server 210 of a condition monitoring system 200, which may be the above-mentioned electronic device. The condition monitoring system 200 further includes a wireless working condition sensor 230 and at least one wireless vibration sensor 220 that are communicatively connected to the server 210. The method includes: Figure 7 The following steps are shown:

[0144] S510: Determine whether the operation scenario of the mechanical equipment is steady-state speed operation. The steady-state speed operation indicates that the speed of the mechanical equipment remains stable within a set time. If yes, execute step S520; if no, execute step S530.

[0145] S520: Obtain alternative indicators calculated by each wireless vibration sensor at the current moment, first vibration information collected by each wireless vibration sensor, and first rotational speed information collected by the wireless operating condition sensor, and calculate characteristic indicators corresponding to each wireless vibration sensor based on the alternative indicators, each first vibration information, and the first rotational speed information.

[0146] The candidate index is calculated by the wireless vibration sensor according to the first vibration information and the historical steady-state rotation speed.

[0147] S530: Obtain the second vibration information collected by each wireless vibration sensor at the current moment and the second rotational speed information collected by the wireless operating condition sensor, cache the second rotational speed information and each second vibration information, and obtain the second rotational speed information and each second vibration information cached at the previous moment, and calculate the characteristic index corresponding to each wireless vibration sensor based on the second rotational speed information and each second vibration information cached at the previous moment.

[0148] When the operation scenario of the mechanical equipment is steady-state speed operation, the server obtains the candidate index, each first vibration information and the first speed information, and calculates the characteristic index corresponding to each wireless vibration sensor by the server.

[0149] When the operation scenario of the mechanical equipment is not steady-state speed operation, the second vibration information and the second speed information at the current moment need to be cached for calculating the characteristic index at the next moment. The characteristic index corresponding to each wireless vibration sensor is calculated based on the second speed information and the second vibration information cached at the previous moment.

[0150] The method collects the first speed information at the current moment or the previous moment through the wireless working condition sensor, so that the speed information can be collected more accurately. When the operation scenario of the mechanical equipment is steady-state speed operation, the characteristic index is calculated through the first speed information at the current moment and the first vibration information. When the operation scenario of the mechanical equipment is not steady-state speed operation, the characteristic index is calculated through the second speed information at the current moment and the second vibration information. The characteristic index can be calculated quickly and accurately according to different operation scenarios.

[0151] When the operation scenario of the mechanical equipment is steady-state speed operation, there may be multiple ways to calculate the characteristic index. In a possible implementation, the above step S520 may include the following steps:

[0152] S521: Acquire candidate indicators calculated by each wireless vibration sensor at the current moment, first vibration information collected by each wireless vibration sensor, and first rotation speed information collected by the wireless operating condition sensor.

[0153] S522: Determine whether the first speed information matches the historical steady-state speed. If so, execute step S523; if not, execute step S524.

[0154] S523: Using each candidate indicator as a characteristic indicator corresponding to each wireless vibration sensor.

[0155] S524: Delete each candidate index, and calculate a characteristic index corresponding to each wireless vibration sensor according to the first rotation speed information and each first vibration information.

[0156] The processing logic of step S520 is consistent with that of step S420, which will not be repeated here. In step S520, the processing logic is placed in the server for processing. That is, when the first speed information matches the historical steady-state speed, each alternative indicator is used as the characteristic indicator corresponding to each wireless vibration sensor; when the first speed information does not match the historical steady-state speed, each alternative indicator is deleted, and the characteristic indicator corresponding to each wireless vibration sensor is calculated based on the first speed information and each first vibration information. The server can directly send each characteristic indicator to the platform that needs to display the status of the mechanical equipment, and can input each characteristic indicator into the alarm algorithm for early warning.

[0157] When the concurrent computing capability of the characteristic index of the server is stronger than the computing capability of the multiple wireless vibration sensors, it is better to use the server for computing. In another possible implementation, when the concurrent computing capability of the characteristic index of the server is weaker than the computing capability of the multiple wireless vibration sensors, the first rotation speed information can be sent to each wireless vibration sensor, and the characteristic index is calculated respectively, and each wireless vibration sensor then uploads it to the server, and the server performs the next operation.

[0158] Further, the characteristic index is recalculated based on the first speed information and each first vibration information, but the first speed information may be continuously variable. The above step S524 may include the following steps:

[0159] S5241: Determine whether the first speed information is continuous speed change. If yes, execute step S5242; if no, execute step S5243.

[0160] S5242: downsample the first rotation speed information to obtain resampled rotation speed information after downsampling; perform equal-angle sampling on each first vibration information before processing according to the resampled rotation speed information to obtain each resampled vibration information; and calculate the characteristic index corresponding to each wireless vibration sensor according to the resampled rotation speed information and each resampled vibration information.

[0161] S5243: Calculate a characteristic index corresponding to each wireless vibration sensor according to the rotation speed value of the first rotation speed information and each first vibration information.

[0162] The logic of step S524 is consistent with that of step S424, and the process is not repeated here. Step S524 is to process the first rotation speed information and each first vibration information in the server.

[0163] Similarly, according to the performance of the server and each wireless vibration sensor, the first rotation speed information may be sent to each wireless vibration sensor, and each wireless vibration sensor resamples the first vibration information before processing.

[0164] It is understandable that the method may also include the resampling method of step S4242 and the determination method of whether the first speed information is continuously variable in the second embodiment.

[0165] In summary, the embodiments of the present invention provide a characteristic index calculation method and an electronic device. By collecting accurate rotational speed information through a wireless operating condition sensor, accurate characteristic indicators can be calculated. In the steady-state speed operation scenario, a method of first calculating and then verifying is adopted. There are fewer scenarios where the rotational speed changes, and the number of times the index process is recalculated is less, and there is no need to wait, which can make power consumption lower. For the case of continuous speed change, resampling processing is adopted, and then the index calculation is performed, which solves the problem that the prior art cannot calculate the index.

[0166] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and a module, a program segment or a part of the code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0167] In addition, the functional modules in the various embodiments of the present invention may be integrated together to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.

[0168] If the function is implemented in the form of a software function module 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, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a computer-readable 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 methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0169] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0170] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A characteristic index calculation method, characterized in that: A wireless vibration sensor applied to a condition monitoring system, wherein the condition monitoring system further comprises a server connected to the wireless vibration sensor in communication, and a wireless operating condition sensor connected to the server in communication, wherein the method comprises: Determine whether the operation scenario of the mechanical equipment is steady-state speed operation; the steady-state speed operation indicates that the speed of the mechanical equipment is stable within a set time; If yes, collect the first vibration information at the current moment, and obtain the first rotation speed information collected by the wireless working condition sensor at the current moment from the server, and calculate the characteristic index based on the first vibration information and the first rotation speed information; If not, collect the second vibration information at the current moment, and obtain the second speed information collected by the wireless operating condition sensor at the current moment from the server, cache the second speed information and the second vibration information, and obtain the second speed information and the second vibration information cached at the previous moment, and calculate the characteristic indicator based on the second speed information and the second vibration information cached at the previous moment.

2. The method according to claim 1, characterized in that The collecting of the first vibration information at the current moment, and obtaining the first rotation speed information collected by the wireless working condition sensor at the current moment from the server, and calculating the characteristic index based on the first vibration information and the first rotation speed information, include: Collecting first vibration information at the current moment and obtaining a historical steady-state speed, and calculating an alternative indicator according to the first vibration information and the historical steady-state speed; Acquire first speed information currently collected by the wireless operating condition sensor from the server, and determine whether the first speed information matches the historical steady-state speed; If so, use the candidate indicator as a characteristic indicator; If not, the candidate index is deleted, and the characteristic index is calculated according to the first rotation speed information and the first vibration information.

3. The method according to claim 2, characterized in that The calculating the characteristic index according to the first rotation speed information and the first vibration information includes: Determining whether the first speed information is continuously variable speed; If yes, resample the first speed information and the first vibration information to obtain processed resampled speed information and processed resampled vibration information, and calculate the characteristic index based on the processed resampled speed information and the processed resampled vibration information; If not, the characteristic index is calculated according to the rotation speed value of the first rotation speed information and the first vibration information.

4. The method according to claim 3, characterized in that The resampling process includes downsampling and equal-angle sampling. The resampling process is performed on the first speed information and the first vibration information to obtain processed resampled speed information and processed resampled vibration information, and the characteristic index is calculated based on the processed resampled speed information and the processed resampled vibration information, including: Downsampling is performed on the first rotation speed information to obtain resampled rotation speed information after downsampling; the downsampling represents reducing the acquisition frequency for data acquisition; According to the resampled rotation speed information after downsampling, the first vibration information before processing is sampled at equal angles to obtain resampled vibration information; The characteristic index is calculated according to the resampled rotation speed information and the resampled vibration information.

5. The method according to claim 3, characterized in that: The step of determining whether the first speed information is continuously variable speed includes: Divide the first speed information into equal parts according to a preset number to obtain the preset number of sub-speed information; Calculate the average speed of each sub-speed information, and find the maximum average speed and the minimum average speed among the average speeds; When the difference between the maximum average speed and the minimum average speed is greater than a preset threshold, it is determined that the first speed information is continuously variable; When the difference between the maximum average speed and the minimum average speed is not greater than a preset threshold, it is determined that the first speed information is not a continuous speed change.

6. A characteristic index calculation method, characterized in that: A server applied to a condition monitoring system, wherein the condition monitoring system further comprises a wireless working condition sensor and at least one wireless vibration sensor in communication with the server, wherein the method comprises: Determine whether the operation scenario of the mechanical equipment is steady-state speed operation; the steady-state speed operation indicates that the speed of the mechanical equipment is stable within a set time; If so, obtain the alternative index calculated by each of the wireless vibration sensors at the current moment, the first vibration information collected by each of the wireless vibration sensors, and the first speed information collected by the wireless operating condition sensor, and calculate the characteristic index corresponding to each of the wireless vibration sensors based on the alternative index, each of the first vibration information, and the first speed information; the alternative index is calculated by the wireless vibration sensor according to the first vibration information and the historical steady-state speed; If not, obtain the second vibration information collected by each of the wireless vibration sensors at the current moment and the second speed information collected by the wireless operating condition sensor, cache the second speed information and each of the second vibration information, and obtain the second speed information and each of the second vibration information cached at the previous moment, and calculate the characteristic indicators corresponding to each of the wireless vibration sensors based on the second speed information and each of the second vibration information cached at the previous moment.

7. The method according to claim 6, characterized in that The step of obtaining the candidate indicators calculated by each of the wireless vibration sensors at the current moment, the first vibration information collected by each of the wireless vibration sensors, and the first rotation speed information collected by the wireless operating condition sensor, and calculating the characteristic indicators corresponding to each of the wireless vibration sensors based on the candidate indicators, the first vibration information, and the first rotation speed information includes: Acquire the candidate index calculated by each of the wireless vibration sensors at the current moment, the first vibration information collected by each of the wireless vibration sensors, and the first rotation speed information collected by the wireless operating condition sensor; Determining whether the first speed information matches the historical steady-state speed; If so, taking each of the candidate indicators as a characteristic indicator corresponding to each of the wireless vibration sensors; If not, delete each of the candidate indicators, and calculate the characteristic indicator corresponding to each of the wireless vibration sensors according to the first rotation speed information and each of the first vibration information.

8. The method according to claim 7, characterized in that The calculating, according to the first rotation speed information and each of the first vibration information, a characteristic index corresponding to each of the wireless vibration sensors comprises: Determining whether the first speed information is continuously variable speed; If yes, downsample the first speed information to obtain resampled speed information after downsampling; perform equal-angle sampling on each of the first vibration information before processing according to the resampled speed information to obtain each resampled vibration information, and calculate the characteristic index corresponding to each of the wireless vibration sensors according to the resampled speed information and each of the resampled vibration information; If not, the characteristic index corresponding to each of the wireless vibration sensors is calculated according to the rotation speed value of the first rotation speed information and each of the first vibration information.

9. A characteristic index calculation method, characterized in that: Applied to a condition monitoring system, the condition monitoring system includes a server, a wireless working condition sensor connected to the server for communication, and at least one wireless vibration sensor, the method includes: When the operation scenario of the mechanical equipment is steady-state speed operation, each of the wireless vibration sensors collects the first vibration information at the current moment and obtains the historical steady-state speed, and calculates the respective candidate indicators according to each of the first vibration information and the historical steady-state speed, and uploads each of the candidate indicators to the server; the steady-state speed operation indicates that the speed of the mechanical equipment is stable and unchanged within a set time period; The wireless operating condition sensor collects first rotation speed information at the current moment and uploads it to the server; The server receives each of the candidate indicators and the first speed information, and determines whether the first speed information matches the historical steady-state speed; When the first speed information does not match the historical steady-state speed, the server deletes each of the candidate indicators and sends the first speed information to each of the wireless vibration sensors; Each of the wireless vibration sensors receives the first rotation speed information, and calculates a corresponding characteristic index according to the first rotation speed information and each of the first vibration information, and uploads each of the characteristic indexes to the server.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method according to any one of claims 1 to 5 or any one of claims 6 to 8 is implemented.

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