Data processing device, physical quantity measuring device, data processing system and data processing method
Patent Information
- Application Number
- JP2022146314
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2022-09-14
- Publication Date
- 2025-06-16
AI Technical Summary
Existing frequency analysis methods require increased memory capacity and processing time due to the need for high sampling points and varying frequency resolutions, leading to inefficiencies in determining device status.
A data processing device that generates multiple time data sequences with reduced analysis points and frequencies, allowing for separate frequency analyses with shared physical quantity data, thereby reducing memory requirements and processing time.
This approach suppresses memory capacity and processing time increases during frequency analysis with different frequency bands and resolutions, optimizing resource usage without redundant data acquisition.
Smart Images
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Abstract
Description
[Technical field]
[0001] The present invention relates to a data processing device, a physical quantity measuring device, a data processing system, and a data processing method. [Background technology]
[0002] Conventionally, the state (abnormality, failure, etc.) of the monitored device has been determined using a sensor unit that includes a detection unit that is attached to the device to be monitored and detects acceleration, etc., and an arithmetic processing unit that generates a frequency spectrum (frequency data sequence) by performing frequency analysis on the time data sequence of a digital signal detected by the detection unit at a predetermined sampling frequency (see, for example, Patent Document 1). [Prior art documents] [Patent documents]
[0003] [Patent Document 1] JP 2020-056686 A Summary of the Invention [Problem to be solved by the invention]
[0004] When determining the state of the monitored device (abnormality, failure, etc.), the changes that appear in the results of frequency analysis differ depending on the state being determined. For example, a change in a particular state may appear in the high frequency band, while a change in another state may appear in the low frequency band. The frequency resolution required to capture the changes also differs.
[0005] In the above case, the sensor unit disclosed in Patent Document 1 has a problem that, for example, in order to ensure a predetermined frequency resolution, the number of sampling points for forming a time data string increases, and the memory capacity required increases accordingly. In addition, although it is possible to reduce the number of sampling points by changing the sampling frequency, for example, by lowering the frequency resolution in a predetermined high frequency band and increasing the frequency resolution in a predetermined low frequency band, there is a problem that the acquisition of the time data string and the frequency analysis are performed twice, which increases the processing time.
[0006] In view of the above-mentioned problems, the present invention aims to provide a data processing device, a physical quantity measuring device, a data processing system, and a data processing method that make it possible to suppress increases in memory capacity and processing time required for frequency analyses having different frequency bands and frequency resolutions. [Means for solving the problem]
[0007] In order to achieve the above object, a data processing device according to one aspect of the present invention comprises: a data acquisition unit that acquires a physical quantity data string obtained by measuring a physical quantity of a measurement target at a predetermined sampling frequency and a predetermined number of sampling points as physical quantity data; a first data generating unit that generates a first time data string by extracting, from the physical quantity data string acquired by the data acquiring unit, the physical quantity data of a first analysis point number that is measured continuously over a first analysis point number that is smaller than the number of sampling points; a first frequency analysis unit that performs frequency analysis on the first time data sequence generated by the first data generation unit to convert the first time data sequence into a first frequency data sequence; The physical quantity data sequence acquired by the data acquisition unit is converted into a second analysis point number that is smaller than the number of sampling points in accordance with an analysis frequency that is smaller than the sampling frequency. a second data generating unit that generates a second time data sequence by thinning out the physical quantity data; and a second frequency analysis unit that performs frequency analysis on the second time data string generated by the second data generation unit to convert it into a second frequency data string. Effect of the Invention
[0008] According to the data processing device of the present invention, a first data generating unit generates a first time data string based on a sampling frequency and a first number of analysis points that is less than the number of sampling points from a physical quantity data string based on a predetermined sampling frequency and number of sampling points, and a first frequency analysis unit performs frequency analysis, while a second data generating unit generates a second time data string based on an analysis frequency that is less than the sampling frequency and a second number of analysis points that is less than the number of sampling points, and a second frequency analysis unit performs frequency analysis. Therefore, when performing frequency analyses with different frequency bands and frequency resolutions, a common physical quantity data string is used, and therefore it is not necessary to obtain the physical quantity data string twice, and therefore it is possible to suppress an increase in memory capacity and processing time required for those frequency analyses.
[0009] Other objects, configurations and effects will become apparent from the detailed description of the invention described below. [Brief description of the drawings]
[0010] [Figure 1] 1 is an overall configuration diagram showing an example of a data processing system 1. FIG. [Diagram 2] FIG. 2 is a block diagram showing an example of a physical quantity measuring device 3. [Diagram 3] FIG. 2 is a functional explanatory diagram showing an example of a physical quantity measuring device 3. [Figure 4] FIG. 9 is a hardware configuration diagram showing an example of a computer 900 constituting each device. [Diagram 5] 4 is a flowchart showing an example of the operation of the physical quantity measuring device 3 (data processing device 31). DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0011] Hereinafter, an embodiment for carrying out the present invention will be described with reference to the drawings. In the following, the scope necessary for the explanation to achieve the object of the present invention will be shown in a schematic manner, and the scope necessary for the explanation of the relevant part of the present invention will be mainly explained, and the parts that are omitted will be explained as being related to the publicly known technology.
[0012] 1 is an overall configuration diagram showing an example of a data processing system 1. The data processing system 1 processes physical quantity data obtained when a physical quantity of a measurement target is measured by a pump device 2, and functions as a system for managing the pump device 2.
[0013] The data processing system 1 mainly comprises a pump device 2 to be monitored, a physical quantity measuring device 3 that can be attached to the pump device 2, a data collecting device 4 configured to be able to communicate with the physical quantity measuring device 3, a data management device 5 configured to be able to communicate with the data collecting device 4, and a terminal device 6 configured to be able to communicate with the data management device 5. Each of the devices 2 to 6 is configured, for example, as a general-purpose or dedicated computer (see FIG. 4 described later), and is configured to be able to transmit and receive various data to and from each other via a network 7. The number of each of the devices 2 to 6 is not limited to the example in FIG. 1, and may be one or more.
[0014] The pump device 2 is a device for transporting any fluid, and is installed and used in, for example, infrastructure facilities (waterworks, sewage systems, etc.) and plant facilities (oil refineries, power generation, manufacturing, chemical processes, etc.). The pump device 2 includes a pump section 20, a motor 21 that serves as a drive source for the pump device 2, and The pump device 2 includes a coupling section 22 that transmits the driving force generated by the motor 21 to the pump section 20 , and a pump control panel 23 that controls the operation of the pump device 2 .
[0015] The pump section 20 is composed of, for example, an impeller, a rotating shaft, bearings, a mechanical seal, a gland packing, a casing, piping, etc. The motor 21 is composed of, for example, an inverter motor or other type of motor. The joint section 22 is composed of, for example, a coupling, a joint, a bearing, etc. The pump control panel 23 is composed of, for example, an embedded computer, and controls the rotation operation of the motor 21 based on the set values of the operating conditions set by a user (the installer or manager of the pump device 2, etc.) and the detected values of sensors (not shown) provided in each of the pump section 20 and the motor 21. The pump device 2 may be configured to be able to communicate with each of the devices 3 to 6.
[0016] The physical quantity measuring device 3 is a device that measures a physical quantity caused by the pump device 2, and is attached, for example, to any position of the pump section 20, the motor 21, or the joint section 22. The physical quantity measuring device 3 includes a physical quantity sensor 30 that measures the physical quantity of a measurement target, a data processing device 31 that processes physical quantity data when the physical quantity is measured by the physical quantity sensor 30, and a housing 300 that incorporates the physical quantity sensor 30 and the data processing device 31 and is attachable to the pump device 2.
[0017] The physical quantity to be measured by the physical quantity sensor 30 is, for example, acceleration (vibration), speed, displacement, environmental sound, etc. The physical quantity sensor 30 is composed of, for example, an acceleration sensor capable of measuring acceleration, a speed sensor capable of measuring speed, a displacement sensor capable of measuring displacement, a microphone capable of measuring environmental sound, etc. The physical quantity to be measured is not limited to the above examples as long as it is subject to frequency analysis (details will be described later). For example, physical quantities such as pressure, load, temperature, current value, voltage value, etc. may be used, and in that case, physical quantity sensors 30 such as a pressure sensor, load sensor, temperature sensor, current sensor, voltage sensor, etc. are used. The physical quantity sensor 30 may also include a plurality of sensors for measuring a plurality of physical quantities, respectively.
[0018] The installation position of the physical quantity measuring device 3 is determined according to the physical quantity to be measured. Note that one physical quantity measuring device 3 may be installed on the pump device 2, or multiple physical quantity measuring devices 3 may be installed as shown in Fig. 1. When multiple physical quantity measuring devices 3 are installed, they may measure a common physical quantity or different physical quantities.
[0019] The data processing device 31 is a device for processing physical quantity data obtained by converting an analog signal indicating a physical quantity measured by the physical quantity sensor 30 into a digital signal. The data processing device 31 may include an A / D conversion circuit that converts an analog signal into a digital signal, or may acquire physical quantity data from the physical quantity sensor 30 after conversion into a digital signal.
[0020] The data collection device 4 is used by a user (such as an administrator or an inspection / repair worker of the pump device 2) at the installation site of the pump device 2 to collect data from the physical quantity measuring device 3 (specifically, the data processing device 31). The data collection device 4 is composed of a portable computer such as a smartphone or a tablet. When a user of the data collection device 4 approaches within a predetermined distance from the physical quantity measuring device 3, for example, communication is established between the data collection device 4 and the physical quantity measuring device 3, thereby collecting data from the physical quantity measuring device 3. In addition, the data collection device 4 has programs such as applications and browsers installed therein, accepts various input operations, displays data collected from the physical quantity measuring device 3 on a display screen, and transmits the data to the data management device 5.
[0021] The data management device 5 is a data processing device for managing the data collected by the data collection device 4. The data management device 5 includes a database 50 and is configured, for example, by a server-type computer or a cloud-type computer. The data management device 5 stores the data received from the data collection device 4 in the database 50, transmits notification information to the terminal device 6 when the data satisfies a predetermined notification condition, and transmits reference information of the database 50 to the terminal device 6 when a reference request for data stored in the database 50 is received from the terminal device 6.
[0022] The terminal device 6 is a device used by a user (such as a manager of the pump device 2 or an inspection / repair worker) who is located in a remote location away from the installation location of the pump device 2, and is configured, for example, as a stationary computer or a portable computer. Programs such as applications and browsers are installed in the terminal device 6, and the terminal device 6 accepts various input operations and displays various information (notification information and reference information for the database 50) on a display screen. The terminal device 6 may also function as the data collection device 4.
[0023] The network 7 is configured by wired communication or wireless communication, or a combination of wired communication and wireless communication, according to any communication standard. Specifically, for example, a standardized communication network such as the Internet, a communication network managed within a building such as a local network, or a combination of these communication networks can be used. Furthermore, an international standard is typically used as a communication standard for wireless communication. Examples of communication means of the international standard include IEEE802.15.4, IEEE802.15.1, IEEE802.15.11a, 11b, 11g, 11n, 11ac, 11ad, ISO / IEC14513-3-10, IEEE802.15.4g, etc. Furthermore, methods such as Bluetooth (registered trademark), Bluetooth Low Energy, Wi-Fi, ZigBee (registered trademark), Sub-GHz, EnOcean (registered trademark), and LTE can also be used.
[0024] Fig. 2 is a block diagram showing an example of the physical quantity measuring device 3. Fig. 3 is a functional explanatory diagram showing an example of the physical quantity measuring device 3. In addition to the above-mentioned physical quantity sensor 30, the physical quantity measuring device 3 includes, as its main components, a control unit 32, a communication unit 33, a storage unit 34, and a power source 35 which constitute a data processing device 31.
[0025] The control unit 32 executes, for example, a data processing program 340 stored in the storage unit 34, thereby functioning as a data acquisition unit 320, a first data generation unit 321, a first frequency analysis unit 322, a first transmission processing unit 323, a filter processing unit 324, a second data generation unit 325, a second frequency analysis unit 326, and a second transmission processing unit 327. The communication unit 33 functions as a communication interface for transmitting and receiving various data to and from, for example, the data collection device 4 via the network 7. The storage unit 34 stores various programs (such as a data processing program 340) and data (such as setting information 341) used in the operation of the physical quantity measuring device 3. The setting information 341 stores, for example, setting parameters (such as a sampling frequency fs and a number of sampling points Ns) referred to by the control unit 32 when the physical quantity measuring device 3 operates, and is configured to be set, for example, via the data collection device 4. The power source 35 is, for example, a primary battery, a secondary battery, a solar cell, a fuel cell, or the like, and supplies power to each unit of the physical quantity measuring device 3. The power supply 35 may receive power from the pump device 2.
[0026] The data acquiring unit 320 acquires a physical quantity data string Dc based on the physical quantity measured by the physical quantity sensor 30. Specifically, the data acquiring unit 320 acquires a physical quantity data string Dc obtained by measuring the physical quantity as physical quantity data D by the physical quantity sensor 30 at a predetermined sampling frequency fs and number of sampling points Ns. For example, if the sampling frequency fs is set to "5120 Hz" and the number of sampling points Ns is set to "2048 points" as shown in FIG. 3 in the setting information 341, the physical quantity data string Dc is obtained by measuring the physical quantity at "2048 points" (=number of sampling points Ns) at the sampling frequency fs of "5120 Hz". It is composed of measurement data D (shown as {D1, D2, …, D2048} in FIG. 3).
[0027] The first data generation unit 321 generates a first time data series Dct1 by extracting physical quantity data D of the first analysis number of points Ns1 (<Ns) continuously measured by less than the sampling number of points Ns from the physical quantity data series Dc acquired by the data acquisition unit 320.
[0028] In the setting information 341, for example, as shown in FIG. 3, when the first analysis number of points Ns1 is set to "1024 points", the first time data series Dct1 is composed of physical quantity data D of "1024 points" (= the first analysis number of points Ns1) measured at a sampling frequency fs of "5120 Hz". The first analysis number of points Ns1 may be set as a ratio (for example, 1 / 2, etc.) to the sampling number of points Ns instead of the number of points.
[0029] When the first data generation unit 321 extracts physical quantity data D of the first analysis number of points Ns1 with continuous measurement timing from the physical quantity data series Dc as the first time data series Dct1, the first time data series Dct1 measured in an arbitrary measurement period in the physical quantity data series Dc may be extracted. For example, in the example of the above setting information 341, among the physical quantity data D of "2048 points", as shown in FIG. 3, the first half of the physical quantity data D from the first point to the 1024th point D (shown as {D1, D2, …, D1024} in FIG. 3) may be extracted as the first time data series Dct1, or the physical quantity data D in the middle from the 513th point to the 1536th point may be extracted as the first time data series Dct1, or the physical quantity data D in the second half from the 1025th point to the 2048th point may be extracted as the first time data series Dct1.
[0030] The first frequency analysis unit 322 performs frequency analysis on the first time data string Dct1 generated by the first data generation unit 321 to convert it into a first frequency data string Dcf1. The first frequency analysis unit 322 performs, as the frequency analysis, a Fourier transform called, for example, a discrete Fourier transform (DFT) or a fast Fourier transform (FFT) to convert the first time data string Dct1 formed on the time axis into a first frequency data string Dcf1 formed on the frequency axis. The first frequency analysis unit 322 may store the first frequency data string Dcf1, which is the calculation result of the Fourier transform, in the storage unit 34.
[0031] In the example of the setting information 341 shown in FIG. 3, the first time data string Dct1 is composed of "1024 points" of physical quantity data D measured at a sampling frequency fs of "5120 Hz", so that in the result of the Fourier transform calculation by the first frequency analysis unit 322, the frequency band is 2000 Hz (=fs / 2.56) and the frequency resolution is 5 Hz (=fs / Ns1).
[0032] The first transmission processing unit 323 transmits the first frequency data sequence Dcf1 converted by the first frequency analysis unit 322. At that time, if the first frequency data sequence Dcf1 has been stored in the storage unit 34 by the first frequency analysis unit 322, the first transmission processing unit 323 may delete the first frequency data sequence Dcf1 from the storage unit 34 after transmitting the first frequency data sequence Dcf1, or may delete the first frequency data sequence Dcf1 in accordance with another deletion condition.
[0033] The filter processing unit 324 applies an anti-aliasing filter to the physical quantity data string Dc acquired by the data acquisition unit 320. The anti-aliasing filter is a filter for preventing aliasing (folding noise) when the physical quantity data string Dc is thinned out by the second data generation unit 325, and is configured of a digital low-pass filter so as to remove components having a predetermined cutoff frequency or higher. The cutoff frequency of the low-pass filter is appropriately determined according to the set values of setting parameters including, for example, the sampling frequency fs, etc. can be obtained.
[0034] The second data generation unit 325 downsamples (decimates) the physical quantity data sequence Dc after the anti-aliasing filter is applied by the filter processing unit 324 to the physical quantity data D with a second analysis point number Ns2 (<Ns) less than the sampling point number Ns according to an analysis frequency fs2 (<fs) smaller than the sampling frequency fs, thereby generating a second time data sequence Dct2.
[0035] In the setting information 341, as shown in FIG. 3, for example, when the analysis frequency fs2 is set to "2560 Hz" and the second analysis point number Ns2 is set to "1024 points", the second time data sequence Dct2 is composed of the physical quantity data D of "1024 points" (= the second analysis point number Ns2) measured at the analysis frequency fs2 of "2560 Hz" (indicated by {D1, D3,..., D2047} in FIG. 3). The analysis frequency fs2 may be set by a ratio (e.g., 0.5, etc.) to the sampling frequency fs instead of the frequency, or the second analysis point number Ns2 may be set by a ratio (e.g., 1 / 2, 1 / 3, 1 / 4, etc.) to the sampling point number Ns instead of the number of points. Also, either the analysis frequency fs2 or the second analysis point number Ns2 may be set in the setting information 341.
[0036] The second frequency analysis unit 326 performs frequency analysis on the second time data sequence Dct2 generated by the second data generation unit 325 to convert it into a second frequency data sequence Dcf2. Similar to the first frequency analysis unit 322, the second frequency analysis unit 326 performs a Fourier transform such as a discrete Fourier transform (DFT) or a fast Fourier transform (FFT) as the frequency analysis to convert the second time data sequence Dct2 composed of the time axis into the second frequency data sequence Dcf2 composed of the frequency axis. Note that the second frequency analysis unit 326 may store the second frequency data sequence Dcf2, which is the calculation result of the Fourier transform, in the storage unit 34.
[0037] 3, the second time data string Dct2 is composed of "1024 points" of physical quantity data D measured at an analysis frequency fs2 of "2560 Hz", so that the frequency band of the Fourier transform calculation result by the second frequency analysis unit 326 is 1000 Hz (=fs2 / 2.56) and the frequency resolution is 2.5 Hz (=fs2 / Ns2). That is, the frequency band of the Fourier transform by the second frequency analysis unit 326 is lower than the frequency band of the Fourier transform by the first frequency analysis unit 322, and the frequency resolution of the Fourier transform by the second frequency analysis unit 326 is higher than the frequency resolution of the Fourier transform by the first frequency analysis unit 322.
[0038] The second transmission processing unit 327 transmits the second frequency data string Dcf2 converted by the second frequency analysis unit 326. At that time, if the second frequency data string Dcf2 has been stored in the storage unit 34 by the second frequency analysis unit 326, the second transmission processing unit 327 may delete the second frequency data string Dcf2 from the storage unit 34 after transmitting the second frequency data string Dcf2, or may delete the second frequency data string Dcf2 in accordance with another deletion condition.
[0039] The first frequency data string Dcf1 transmitted by the first transmission processing unit 323 and the second frequency data string Dcf2 transmitted by the second transmission processing unit 327 are received by the data collecting device 4 and then further transmitted by the data collecting device 4 to the data management device 5, whereby they are stored in the database 50. The first frequency data string Dcf1 and the second frequency data string Dcf2 may be displayed on the display screen of the data collecting device 4. Note that the first frequency data string Dcf1 and the second frequency data string Dcf2 may include, for example, the frequency data of the pump device 2 and the physical quantity measuring device 3, which are stored in the database 50, by the data processing device 31 or the data collecting device 4. Identification information for identifying at least one of them (such as the device ID of the pump device 2 or the device ID of the physical quantity measuring device 3) may be assigned, and in that case, the first frequency data string Dcf1 and the second frequency data string Dcf2 may be stored in the database 50 in an associated state with the identification information.
[0040] In the present embodiment, the case has been described in which the second data generating unit 325 generates the second time data string Dct2 from the physical quantity data string Dc to which the anti-aliasing filter has been applied by the filter processing unit 324, but the second data generating unit 325 may generate the second time data string Dct2 from the physical quantity data string Dc as it is acquired by the data acquiring unit 320 without applying the anti-aliasing filter according to the set value of the setting parameter. Also, the physical quantity measuring device 3 (data processing device 31) may not include the filter processing unit 324.
[0041] 4 is a hardware configuration diagram showing an example of a computer 900 constituting each device. Each of the pump device 2 (mainly the pump control panel 23), the physical quantity measuring device 3 (mainly the data processing device 31), the data management device 5, and the terminal device 6 is constituted by a general-purpose or dedicated computer 900.
[0042] 4, the computer 900 includes, as its main components, a bus 910, a processor 912, a memory 914, an input device 916, an output device 917, a display device 918, a storage device 920, a communication I / F (interface) unit 922, an external device I / F unit 924, an I / O (input / output) device I / F unit 926, and a media input / output unit 928. Note that the above components may be omitted as appropriate depending on the application of the computer 900.
[0043] The processor 912 is composed of one or more arithmetic processing devices (such as a central processing unit (CPU), a micro-processing unit (MPU), a digital signal processor (DSP), a graphics processing unit (GPU), or a neural processing unit (NPU)) and operates as a control unit that controls the entire computer 900. The memory 914 stores various data and programs 930, and is composed of, for example, a volatile memory (DRAM, SRAM, etc.) that functions as a main memory, a non-volatile memory (ROM), a flash memory, etc.
[0044] The input device 916 is, for example, a keyboard, a mouse, a numeric keypad, an electronic pen, etc., and functions as an input unit. The output device 917 is, for example, a sound (audio) output device, a vibration device, etc., and functions as an output unit. The display device 918 is, for example, a liquid crystal display, an organic EL display, electronic paper, a projector, etc., and functions as an output unit. The input device 916 and the display device 918 may be integrally configured, such as a touch panel display. The storage device 920 is, for example, a HDD, an SSD, etc., and functions as a storage unit. The storage device 920 stores various data necessary for the execution of the operating system and the program 930.
[0045] The communication I / F unit 922 is connected to a network 940 (which may be the same as the network 7 in FIG. 1) such as the Internet or an intranet by wired or wireless connection, and functions as a communication unit that transmits and receives data to and from other computers in accordance with a predetermined communication standard. The external device I / F unit 924 is connected to an external device 950 such as a camera, printer, scanner, reader / writer by wired or wireless connection, and functions as a communication unit that transmits and receives data to and from the external device 950 in accordance with a predetermined communication standard. The I / O device I / F unit 926 is connected to an I / O device 960 such as various sensors and actuators, and functions as a communication unit that transmits and receives data to and from the I / O device 960. For example, it functions as a communication unit that transmits and receives various signals and data such as detection signals from sensors and control signals to actuators. The media input / output unit 928 is composed of a drive device such as a DVD drive or a CD drive, a memory card slot, and a USB connector, and reads and writes data from and to media (non-transitory storage media) 970 such as a DVD, CD, memory card, or USB memory.
[0046] In the computer 900 having the above configuration, the processor 912 calls up the program 930 stored in the storage device 920 into the memory 914, executes the program, and controls each unit of the computer 900 via the bus 910. The program 930 may be stored in the memory 914 instead of the storage device 920. The program 930 may be recorded in the medium 970 in an installable file format or an executable file format, and provided to the computer 900 via the media input / output unit 928. The program 930 may be provided to the computer 900 by downloading it via the network 940 via the communication I / F unit 922. In addition, the computer 900 may realize various functions realized by the processor 912 executing the program 930, for example, with hardware such as a field-programmable gate array (FPGA) or an application specific integrated circuit (ASIC).
[0047] The computer 900 is, for example, a desktop computer or a portable computer, and is an electronic device of any type. The computer 900 may be a client computer, a server computer, or a cloud computer, or may be, for example, an embedded computer called a control panel, a controller (including a microcomputer, a programmable logic controller, and a sequencer), etc.
[0048] (Data processing method) FIG. 5 is a flowchart showing an example of the operation of the physical quantity measurement device 3 (data processing device 31). The series of processes (data processing method) shown in FIG. 5 may be repeatedly executed, for example, at a predetermined execution cycle, or may be executed based on an execution command from the data collection device 4. Hereinafter, it is assumed that communication is established via the network 7 between the physical quantity measurement device 3 (data processing device 31) and the data collection device 4, and the setting parameters of the setting information 341 are set in the same manner as in FIG. 3.
[0049] First, in step S100, the data acquisition unit 320 of the physical quantity measurement device 3 (data processing device 31) acquires a physical quantity data sequence Dc obtained by measuring a physical quantity as physical quantity data D by the physical quantity sensor 30 at a predetermined sampling frequency fs and a sampling number Ns, respectively. The physical quantity data sequence Dc is composed of physical quantity data D measured at a sampling frequency fs of "5120 Hz" with a measurement of "2048 points" (= sampling number Ns).
[0050] Next, in step S110, the first data generation unit 321 generates a first time data sequence Dct1 by extracting physical quantity data D of the first analysis number Ns1 (< Ns) continuously measured by the data acquisition unit 320 in step S100 from the physical quantity data sequence Dc. The first time data sequence Dct1 is composed of physical quantity data D of "1024 points" (= first analysis number Ns1) measured at a sampling frequency fs of "5120 Hz".
[0051] Next, in step S120, the first frequency analysis unit 322 performs frequency analysis (Fourier transform) on the first time data sequence Dct1 generated in step S110 to convert it into a first frequency data sequence Dcf1. As the calculation result of the Fourier transform by the first frequency analysis unit 322, the frequency band is 2000 Hz (= fs / 2.56), and the frequency resolution is 5 Hz (= fs / Ns1).
[0052] Next, in step S130, the first transmission processing unit 323 transmits the first frequency data sequence Dcf1 converted in step S120 to the data collection device 4. The first frequency data sequence Dcf1 is, for example, displayed on the display screen of the data collection device 4 and stored in the database 50 via the data collection device 4.
[0053] Next, in step S140, the filter processing unit 324 applies an anti-aliasing filter to the physical quantity data sequence Dc acquired by the data acquisition unit 320 in step S100.
[0054] Next, in step S150, the second data generation unit 325 generates a second time data sequence Dct2 by decimating the physical quantity data sequence Dc after the anti-aliasing filter is applied in step S140 according to the analysis frequency fs2 (< fs) to the physical quantity data D of the second analysis point number Ns2 (< Ns). The second time data sequence Dct2 is composed of the physical quantity data D of "1024 points" (= the second analysis point number Ns2) measured at the analysis frequency fs2 of "2560 Hz".
[0055] Next, in step S160, the second frequency analysis unit 326 performs a frequency analysis (Fourier transform) on the second time data sequence Dct2 generated in step S150 to convert it into a second frequency data sequence Dcf2. As the calculation result of the Fourier transform by the second frequency analysis unit 326, the frequency band is 1000 Hz (= fs2 / 2.56), and the frequency resolution is 2.5 Hz (= fs2 / Ns2).
[0056] Then, in step S170, the second transmission processing unit 327 transmits the second frequency data sequence Dcf2 converted in step S160 to the data collection device 4, and ends a series of processes. The second frequency data sequence Dcf2 is, for example, displayed on the display screen of the data collection device 4 and stored in the database 50 via the data collection device 4. Note that step S100 corresponds to a data acquisition step, step S110 corresponds to a first data generation step, step S120 corresponds to a first frequency analysis step, step S130 corresponds to a first transmission processing step, step S140 corresponds to a filtering process step, step S150 corresponds to a second data generation step, step S160 corresponds to a second frequency analysis step, and step S170 corresponds to a second transmission processing step, respectively.
[0057] As described above, according to the physical quantity measurement device 3 (data processing device 31) according to the present invention, from the physical quantity data sequence Dc based on a predetermined sampling frequency fs and the number of sampling points Ns, the first data generation unit 321 generates a first time data sequence Dct1 based on the sampling frequency fs and the first number of analysis points Ns1 (<Ns), and frequency analysis is performed by the first frequency analysis unit 322. At the same time, the second data generation unit 325 generates a second time data sequence Dct2 based on the analysis frequency fs2 (<fs) and the second number of analysis points Ns2 (<Ns), and frequency analysis is performed by the second frequency analysis unit 326. Therefore, when performing frequency analysis with different frequency bands and frequency resolutions respectively, since the common physical quantity data sequence Dc is used, it is not necessary to obtain the physical quantity data sequence Dc twice, so it is possible to suppress an increase in the memory capacity and processing time required for those frequency analyses.
[0058] (Other embodiments) The present invention is not limited to the above-described embodiments, and various modifications can be made and implemented without departing from the gist of the present invention. And all of them are included in the technical idea of the present invention.
[0059] In the above embodiment, the data processing device 31 is a device separate from the pump device 2, and the physical quantity Although the case where the data processing device 31 is realized by the measuring device 3 has been described, some or all of the functions of the data processing device 31 (particularly the functions of the control unit 32) may be incorporated into the pump control panel 23 of the pump device 2, thereby realizing the data processing device 31 by the pump device 2. In that case, the physical quantity sensor 30 and the pump control panel 23 may be connected by wire or wirelessly to transmit and receive various data. The pump device 2 may also be provided with the physical quantity sensor 30.
[0060] In the above embodiment, the first frequency data string Dcf1 and the second frequency data string Dcf2 transmitted by the physical quantity measuring device 3 are relayed by the data collecting device 4 and received by the data management device 5, and stored in the database 50 serving as a storage device. However, the device to which the first frequency data string Dcf1 and the second frequency data string Dcf2 are transmitted and the storage device to which they are stored may be changed as appropriate. For example, the first frequency data string Dcf1 and the second frequency data string Dcf2 may be transmitted to the data management device 5 or the terminal device 6, or may be stored in a storage device provided in the data collecting device 4 or the terminal device 6.
[0061] In the above embodiment, the physical quantity measuring device 3 (data processing device 31) operates according to the flowchart shown in Fig. 5, but the order of execution of each step may be changed as appropriate, or some steps may be omitted. For example, step S130 may be executed between step S160 and step S170, and step S140 may be omitted.
[0062] In the above embodiment, the physical quantity measuring device 3 is described as being attached to the pump device 2, but it may be attached to various devices such as a refrigerator, a gas machine, a machine tool, a press device, a conveying device, a diagnostic device, etc. In that case, the physical quantity sensor 30 may measure a physical quantity caused by the various devices. [Explanation of symbols]
[0063] 1...data processing system, 2...pump device, 3...physical quantity measuring device, 4...data collection device, 5...data management device, 6...terminal device, 7...network, 20... pump section, 21... motor, 22... joint section, 22... pump control panel, 30: physical quantity sensor, 31: data processing device, 32: control unit, 33: communication unit, 34... memory unit, 35... power supply, 50... database (storage device), 300: housing; 320: data acquisition unit; 321: first data generation unit; 322: first frequency analysis unit; 323: first transmission processing unit; 324: filter processing unit; 325... second data generation unit, 326... second frequency analysis unit, 327: second transmission processing unit; 340: data processing program; 341: setting information; D...physical quantity data, Dc...physical quantity data string, Dcf1: first frequency data string, Dcf2: second frequency data string, Dct1: First time data string, Dct2: Second time data string, Ns: number of sampling points; Ns1: number of first analysis points; Ns2: number of second analysis points; fs: sampling frequency, fs2: analysis frequency
Claims
1. A data acquisition unit that acquires a physical quantity data sequence obtained by measuring a physical quantity to be measured as physical quantity data at a predetermined sampling frequency and a sampling number respectively; A first data generation unit that generates a first time data sequence composed of the physical quantity data measured continuously by extracting the physical quantity data of the first analysis number measured continuously by less than the first analysis number than the sampling number from the physical quantity data sequence obtained by the data acquisition unit; A first frequency analysis unit that performs frequency analysis on the first time data sequence composed of the physical quantity data measured continuously generated by the first data generation unit and converts it into a first frequency data sequence; A second data generation unit that generates a second time data sequence by thinning out the physical quantity data of the second analysis number less than the sampling number from the physical quantity data sequence obtained by the data acquisition unit according to an analysis frequency smaller than the sampling frequency; A second frequency analysis unit that performs frequency analysis on the second time data sequence generated by the second data generation unit and converts it into a second frequency data sequence, comprising: A data processing device.
2. Further comprising a filter processing unit that applies an anti-aliasing filter to the physical quantity data sequence obtained by the data acquisition unit, The second data generation unit is Generating the second time data sequence from the physical quantity data sequence after the anti-aliasing filter is applied by the filter processing unit, The data processing device according to claim 1.
3. The first frequency analysis unit and the second frequency analysis unit are As the frequency analysis, perform Fourier transform, The frequency band of the Fourier transform by the second frequency analysis unit is Lower than the frequency band of the Fourier transform by the first frequency analysis unit, The frequency resolution of the Fourier transform by the second frequency analysis unit is, Higher than the frequency resolution of the Fourier transform by the first frequency analysis unit, The data processing device according to claim 1.
4. A data processing device according to any one of claims 1 to 3, A physical quantity measuring device comprising a physical quantity sensor that measures a physical quantity to be measured, The data acquisition unit, Based on the physical quantity measured by the physical quantity sensor, the physical quantity data series is acquired, Physical quantity measuring device.
5. The physical quantity measuring device, Built-in the data processing device and the physical quantity sensor, and further comprising a housing attachable to a pump device, The physical quantity sensor, Measures the physical quantity caused by the pump device to which the physical quantity measuring device is attached, The physical quantity measuring device according to claim 4.
6. One or more of the physical quantity measuring devices according to claim 4, A data processing system comprising one or more data collection devices configured to communicate with the physical quantity measuring device, The physical quantity measuring device, A first transmission processing unit that transmits the first frequency data series converted by the first frequency analysis unit, A second transmission processing unit that transmits the second frequency data series converted by the second frequency analysis unit, The data collection device, Receives the first frequency data series transmitted by the first transmission processing unit and the second frequency data series transmitted by the second transmission processing unit, and stores them in a storage device, Data processing system.
7. A data processing method for processing data using a computer, a data acquisition step of acquiring a physical quantity data sequence obtained by measuring a physical quantity to be measured as physical quantity data at a predetermined sampling frequency and a sampling number of points respectively; a first data generation step of generating a first time data sequence composed of continuously measured physical quantity data by extracting the physical quantity data of the first analysis number continuously measured by only a first analysis number smaller than the sampling number of points from the physical quantity data sequence obtained in the data acquisition step; a first frequency analysis step of converting the first time data sequence composed of continuously measured physical quantity data generated in the first data generation step into a first frequency data sequence by performing frequency analysis on the first time data sequence; a second data generation step of generating a second time data sequence by thinning out the physical quantity data sequence obtained in the data acquisition step to the physical quantity data of a second analysis number smaller than the sampling number of points according to an analysis frequency smaller than the sampling frequency; and a second frequency analysis step of converting the second time data sequence generated in the second data generation step into a second frequency data sequence by performing frequency analysis on the second time data sequence. Data processing method.