WO2024057635A1

WO2024057635A1 - Data processing device, physical quantity measurement device, data processing system, and data processing method

Info

Publication number: WO2024057635A1
Application number: PCT/JP2023/021022
Authority: WO
Inventors: 裕太坂巻; 泰雅山田; 孝志関口
Original assignee: 株式会社荏原製作所
Priority date: 2022-09-14
Filing date: 2023-06-06
Publication date: 2024-03-21
Also published as: JP2024041477A

Abstract

This data processing device comprises: a data acquisition unit which acquires a sequence of physical quantity data individually measured at a prescribed sampling frequency and the number of sampling points; a first data generation unit which generates a first time data sequence by extracting physical quantity data of a first analysis point number continuously measured at the first analysis point of a number smaller than the number of sampling points; a first frequency analysis unit which converts the first time data sequence into a first frequency data sequence through a frequency analysis; a second data generation unit which generates a second time data sequence by thinning the physical quantity sequence into physical quantity data of a second analysis point number smaller than the number of sampling points; and a second frequency analysis unit which converts the second time data sequence into a second frequency data sequence through the frequency analysis.

Description

Data processing device, physical quantity measuring device, data processing system, and data processing method

The present invention relates to a data processing device, a physical quantity measuring device, a data processing system, and a data processing method.
This application claims priority to Japanese Patent Application No. 2022-146314 filed in Japan on September 14, 2022, the contents of which are incorporated herein.

Conventionally, frequency spectra (frequency The state (abnormality, failure, etc.) of a device to be monitored is determined using a sensor unit including an arithmetic processing unit that generates a data string (for example, see Patent Document 1).

Japanese Patent Application Publication No. 2020-056686

When determining the status of a device to be monitored (abnormality, failure, etc.), changes that appear in the results of frequency analysis differ depending on the status to be determined. For example, for a specific state, a change may appear in a high frequency band, and for another state, a change may appear in a low frequency band. Furthermore, the frequency resolution required to capture these changes also differs.

In the above case, in the sensor unit disclosed in Patent Document 1, for example, when trying to secure a predetermined frequency resolution, the number of sampling points for configuring a time data string increases, so the memory required is increased accordingly. There is a problem that the capacity also increases. Furthermore, 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, it is possible to reduce the number of sampling points. However, since the acquisition of the time data string and the frequency analysis are performed twice, there is a problem that the processing time becomes longer.

In view of the above-mentioned problems, the present invention provides a data processing device that makes it possible to suppress increases in memory capacity and processing time required for frequency analysis when performing frequency analyzes with different frequency bands and frequency resolutions, respectively; The purpose of the present invention is to provide a physical quantity measuring device, a data processing system, and a data processing method.

In order to achieve the above object, a data processing device according to one aspect of the present invention includes a data acquisition unit that acquires a physical quantity data string obtained by measuring a physical quantity to be measured as physical quantity data at a predetermined sampling frequency and a predetermined number of sampling points. , by extracting the physical quantity data of the first number of analysis points that are consecutively measured by the first number of analysis points smaller than the number of sampling points from the physical quantity data string acquired by the data acquisition unit. a first data generation unit that generates a time data sequence; and converting the first time data sequence generated by the first data generation unit into a first frequency data sequence by performing frequency analysis on the first time data sequence. and a first frequency analysis unit that thins out the physical quantity data string acquired by the data acquisition unit into physical quantity data having a second number of analysis points smaller than the number of sampling points according to an analysis frequency smaller than the sampling frequency. a second data generation unit that generates a second time data sequence; and a second frequency by performing frequency analysis on the second time data sequence generated by the second data generation unit. and a second frequency analysis section that converts the data into a data string.

According to the data processing device according to the present invention, from a physical quantity data string based on a predetermined sampling frequency and a predetermined number of sampling points, the first data generation section generates a first analysis point based on a first analysis point smaller than the sampling frequency and the number of sampling points. A time data sequence is generated, a first frequency analysis section performs frequency analysis, and a second data generation section performs frequency analysis based on an analysis frequency smaller than the sampling frequency and a second analysis point number smaller than the number of sampling points. A second time data string is generated, and frequency analysis is performed by a second frequency analysis section. Therefore, a common physical quantity data string is used when frequency analyzes with different frequency bands and frequency resolutions are performed. Thereby, it is not necessary to acquire the physical quantity data string twice, so it is possible to suppress an increase in memory capacity and processing time required for frequency analysis.

Problems, configurations, and effects other than those described above will be made clear in the detailed description of the invention described below.

1 is an overall configuration diagram showing an example of a data processing system. FIG. 1 is a block diagram showing an example of a physical quantity measuring device. FIG. 2 is a functional explanatory diagram showing an example of a physical quantity measuring device. FIG. 2 is a hardware configuration diagram showing an example of a computer configuring each device. It is a flowchart which shows an example of operation of a physical quantity measuring device (data processing device).

Hereinafter, embodiments for carrying out the present invention will be described with reference to the drawings. Below, the range necessary for explanation to achieve the purpose of the present invention will be schematically shown, and the range necessary for explanation of the relevant part of the present invention will be mainly explained.

FIG. 1 is an overall configuration diagram showing an example of a data processing system 1. As shown in FIG. The data processing system 1 functions as a system for processing physical quantity data when a physical quantity to be measured is measured by the pump apparatus 2 and for managing the pump apparatus 2 .

The data processing system 1 includes, as its main components, 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, It includes a data management device 5 configured to be able to communicate with the data collection 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 composed of, for example, a general-purpose or dedicated computer (see FIG. 4, which will be described later), and is configured to be able to mutually transmit and receive various data via a network 7. Note that the number of each device 2 to 6 is not limited to the example shown in FIG. 1, and may be one or more.

The pump device 2 is a device that transfers any fluid, and is installed and used, for example, in infrastructure equipment (water supply, sewerage, etc.) or plant equipment (oil refining, power generation, manufacturing, chemical process, etc.). The pump device 2 includes a pump section 20, a motor 21 that serves as a drive source for the pump device 2, a joint section 22 that transmits the driving force generated by the motor 21 to the pump section 20, and a pump that controls the operation of the pump device 2. A control panel 23 is provided.

The pump section 20 is composed of, for example, an impeller, a rotating shaft, a bearing, a mechanical seal, a gland packing, a casing, and piping. The motor 21 is constituted by an arbitrary type of motor such as an inverter motor, for example. The joint portion 22 is composed of, for example, a coupling, a joint, a joint, a bearing, or the like. The pump control panel 23 is composed of, for example, a built-in computer. The pump control panel 23 stores operating conditions set by a user (such as an installer or administrator of the pump device 2), and sensors (not shown) installed in each part of the pump unit 20 and motor 21. The rotational operation of the motor 21 is controlled based on the detected value. Note that the pump device 2 may be configured to be able to communicate with each of the devices 3 to 6.

The physical quantity measuring device 3 is a device that measures a physical quantity caused by the pump device 2, and is attached to an arbitrary position of the pump section 20, the motor 21, or the joint section 22, for example. The physical quantity measuring device 3 includes a physical quantity sensor 30 that measures a physical quantity to be measured, a data processing device 31 that processes physical quantity data when the physical quantity is measured by the physical quantity sensor 30, and the physical quantity sensor 30 and the data processing device 31. , and a housing 300 that can be attached to the pump device 2.

The physical quantities to be measured by the physical quantity sensor 30 include, for example, acceleration (vibration), velocity, displacement, and environmental sound. The physical quantity sensor 30 includes, for example, an acceleration sensor that can measure acceleration, a speed sensor that can measure speed, a displacement sensor that can measure displacement, a microphone that can measure environmental sound, and the like. Note that the physical quantity to be measured may be the subject of frequency analysis (details will be described later), and is not limited to the above example. For example, it may be a physical quantity such as pressure, load, temperature, current value, voltage value, etc. In that case, a physical quantity sensor 30 such as a pressure sensor, a load sensor, a temperature sensor, a current sensor, or a voltage sensor is used. Further, the physical quantity sensor 30 may include a plurality of sensors for respectively measuring a plurality of physical quantities.

The mounting 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 attached to the pump device 2, or as shown in FIG. 1, a plurality of physical quantity measuring devices 3 may be attached. When a plurality of physical quantity measuring devices 3 are attached, they may be devices that measure a common physical quantity or may be devices that measure different physical quantities.

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. Note that 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 converted into a digital signal from the physical quantity sensor 30.

The data collection device 4 is used by a user (an administrator, an inspection/repair worker, etc. of the pump device 2) located at the installation location of the pump device 2, and is used by the physical quantity measuring device 3 (specifically, the data processing device 31). ) is a device for collecting data from The data collection device 4 is composed of, for example, a portable computer such as a smartphone or a tablet. For example, when the user of the data collection device 4 approaches within a predetermined distance from the physical quantity measuring device 3, communication is established with 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 thereon and accepts various input operations, and also displays the data collected from the physical quantity measurement device 3 on a display screen and transfers the data to the data management device 5. or send it to.

The data management device 5 includes a database 50 for managing data collected by the data collection device 4, and is configured with a server-type computer or a cloud-type computer, for example. The data management device 5 stores the data received from the data collection device 4 in the database 50. Further, the data management device 5 transmits notification information to the terminal device 6 when the data received from the data collection device 4 satisfies a predetermined notification condition. Further, when the data management device 5 receives a request to refer to data stored in the database 50 from the terminal device 6, it transmits the reference information of the database 50 to the terminal device 6.

The terminal device 6 is a device used by a user located in a remote location away from the installation location of the pump device 2 (an administrator of the pump device 2, an inspection/repair worker, etc.), and is, for example, a stationary computer or a mobile device. It consists of a type computer. The terminal device 6 has programs such as applications and browsers installed, accepts various input operations, and displays various information (notification information and reference information of the database 50) on a display screen. Note that the terminal device 6 may be a device that also serves as the data collection device 4.

The network 7 is configured by wired communication, 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, international standards are typically used as communication standards for wireless communication. As communication means of international standards, IEEE802.15.4, IEEE802.15.1, IEEE802.15.11a, 11b, 11g, 11n, 11ac, 11ad, ISO/IEC14513-3-10, IEEE802.15.4g, etc. There is a method. 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.

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. As shown in FIG. The physical quantity measuring device 3 includes, as its main components, a control section 32, a communication section 33, a storage section 34, and a power supply 35, which constitute a data processing device 31, in addition to the physical quantity sensor 30 described above.

For example, the control unit 32 executes the data processing program 340 stored in the storage unit 34 to control the data acquisition unit 320, first data generation unit 321, first frequency analysis unit 322, and first transmission processing. 323 , a filter processing section 324 , a second data generation section 325 , a second frequency analysis section 326 , and a second transmission processing section 327 . The communication unit 33 functions as a communication interface that transmits and receives various data to and from the data collection device 4 via the network 7, for example. The storage unit 34 stores various programs (data processing program 340, etc.) and data (setting information 341, etc.) used in the operation of the physical quantity measuring device 3. The setting information 341 stores, for example, setting parameters (sampling frequency fs, number of sampling points Ns, etc.) that are referred to by the control unit 32 when the physical quantity measuring device 3 operates, and also stores, for example, setting parameters that are referenced by the control unit 32 when the physical quantity measuring device 3 operates. It is configured to be configurable. The power source 35 is composed of, for example, a primary battery, a secondary battery, a solar cell, a fuel cell, etc., and supplies power to each part of the physical quantity measuring device 3. Note that the power source 35 may receive power supply from the pump device 2.

The data acquisition unit 320 acquires a physical quantity data string Dc based on the physical quantity measured by the physical quantity sensor 30. Specifically, the data acquisition unit 320 acquires a physical quantity data string 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 predetermined number of sampling points Ns. For example, if the sampling frequency fs is set to "5120 Hz" and the sampling point number Ns is set to "2048 points" as shown in FIG. It is composed of physical quantity data D (indicated by {D1, D2, . . . , D2048} in FIG. 3) of "2048 points" (=number of sampling points Ns) measured at the frequency fs.

The first data generation unit 321 generates a first analysis that is continuously measured by a first analysis point number Ns1 (<Ns) smaller than the sampling point number Ns from the physical quantity data string Dc acquired by the data acquisition unit 320. A first time data string Dct1 is generated by extracting the physical quantity data D of the number Ns1.

For example, if the first number of analysis points Ns1 is set to "1024 points" in the setting information 341 as shown in FIG. 3, the first time data string Dct1 has a sampling frequency fs of "5120 Hz". It is composed of physical quantity data D of "1024 points" (=first number of analysis points Ns1) measured at . The first number of analysis points Ns1 may be set as a ratio (for example, 1/2, etc.) to the number of sampling points Ns instead of a number of points.

Note that when the first data generation unit 321 extracts the physical quantity data D of the first number of analysis points Ns1 with consecutive measurement timings from the physical quantity data string Dc as the first time data string Dct1, any arbitrary data in the physical quantity data string Dc is extracted as the first time data string Dct1. What is necessary is to extract the first time data string Dct1 measured during the measurement period. For example, in the above example of the setting information 341, among the physical quantity data D of "2048 points", as shown in FIG. , D2, ..., D1024}) may be extracted as the first time data string Dct1, or intermediate physical quantity data D from the 513th point to the 1536th point may be extracted as the first time data string Dct1. Alternatively, 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 string Dct1.

The first frequency analysis unit 322 performs frequency analysis on the first time data sequence Dct1 generated by the first data generation unit 321, thereby converting it into a first frequency data sequence Dcf1. The first frequency analysis unit 322 performs a Fourier transform called a discrete Fourier transform (DFT) or a fast Fourier transform (FFT) as a frequency analysis, thereby generating a first time data string Dct1 configured on a time axis. is converted into a first frequency data string Dcf1 configured on a frequency axis. Note that the first frequency analysis section 322 may store the first frequency data string Dcf1, which is the calculation result of the Fourier transform, in the storage section 34.

In the example of the setting information 341 shown in FIG. 3, the first time data string Dct1 is composed of physical quantity data D of "1024 points" measured at the sampling frequency fs of "5120 Hz", so the first frequency In the Fourier transform calculation result by the analysis unit 322, the frequency band is 2000 Hz (=fs/2.56), and the frequency resolution is 5 Hz (=fs/Ns1).

The first transmission processing unit 323 transmits the first frequency data string Dcf1 converted by the first frequency analysis unit 322. At this time, if the first frequency data string Dcf1 is stored in the storage section 34 by the first frequency analysis section 322, the first transmission processing section 323 The first frequency data string Dcf1 may be deleted from the storage unit 34, or the first frequency data string Dcf1 may be deleted according to other deletion conditions.

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 (aliasing noise) when the physical quantity data string Dc is thinned out by the second data generation unit 325, and is a filter that removes components having a predetermined cutoff frequency or higher. Consists of a digital low-pass filter. The cutoff frequency of the low-pass filter is appropriately determined, for example, according to the setting values of setting parameters including the sampling frequency fs and the like.

The second data generation unit 325 converts the physical quantity data sequence Dc to which the anti-aliasing filter has been applied by the filter processing unit 324 into a physical quantity data sequence Dc that is smaller than the number of sampling points Ns according to an analysis frequency fs2 (<fs) that is smaller than the sampling frequency fs. A second time data string Dct2 is generated by thinning out (downsampling) the physical quantity data D with the number of analysis points Ns2 (<Ns) of 2.

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 number of analysis points Ns2 is set to "1024 points", the second time data string Dct2 is composed of physical quantity data D (indicated as {D1, D3, ..., D2047} in FIG. 3) of "1024 points" (= the second number of analysis points Ns2) measured at the analysis frequency fs2 of "2560 Hz". The analysis frequency fs2 may be set as a ratio (e.g., 0.5, etc.) to the sampling frequency fs instead of a frequency, and the second number of analysis points Ns2 may be set as a ratio (e.g., 1/2, 1/3, 1/4, etc.) to the number of sampling points Ns instead of a number of points. In addition, either the analysis frequency fs2 or the second number of analysis points Ns2 may be set in the setting information 341.

The second frequency analysis unit 326 performs frequency analysis on the second time data sequence Dct2 generated by the second data generation unit 325, thereby converting it into a second frequency data sequence Dcf2. Similarly to the first frequency analysis unit 322, the second frequency analysis unit 326 performs frequency analysis on the time axis by performing a Fourier transform called a discrete Fourier transform (DFT) or a fast Fourier transform (FFT), for example. The second time data string Dct2 made up of is converted into a second frequency data string Dcf2 made up of a frequency axis. Note that the second frequency analysis section 326 may store the second frequency data string Dcf2, which is the calculation result of the Fourier transform, in the storage section 34.

In the example of the setting information 341 shown in FIG. 3, the second time data string Dct2 is composed of "1024 points" of physical quantity data D measured at the analysis frequency fs2 of "2560 Hz"; In the Fourier transform calculation result by the analysis unit 326, the frequency band 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 analyzer 326 is lower than the frequency band of the Fourier transform by the first frequency analyzer 322, and the frequency resolution of the Fourier transform by the second frequency analyzer 326 is lower than the frequency band of the Fourier transform by the first frequency analyzer 322. The frequency resolution of the Fourier transform by the frequency analysis unit 322 of No. 1 is higher than that of the Fourier transform.

The second transmission processing unit 327 transmits the second frequency data string Dcf2 converted by the second frequency analysis unit 326. At that time, when the second frequency data string Dcf2 is stored in the storage section 34 by the second frequency analysis section 326, the second transmission processing section 327 The second frequency data string Dcf2 may be deleted from the storage unit 34, or the second frequency data string Dcf2 may be deleted according to other deletion conditions.

When the first frequency data string Dcf1 transmitted by the first transmission processing section 323 and the second frequency data string Dcf2 transmitted by the second transmission processing section 327 are received by the data collection device 4, , is further transmitted from the data collection device 4 to the data management device 5 and stored in the database 50. Further, the first frequency data string Dcf1 and the second frequency data string Dcf2 may be displayed on the display screen of the data collection device 4. It should be noted that the first frequency data string Dcf1 and the second frequency data string Dcf2 contain data for identifying at least one of the pump device 2 and the physical quantity measuring device 3, for example, by the data processing device 31 or the data collection device 4. identification information (device ID of the pump device 2, device ID of the physical quantity measuring device 3, etc.) may be provided. In this case, the first frequency data string Dcf1 and the second frequency data string Dcf2 may be stored in the database 50 in a state where they are associated with the identification information.

In the present embodiment, a case has been described in which the second data generation unit 325 generates the second time data sequence Dct2 from the physical quantity data sequence Dc after the anti-aliasing filter has been applied by the filter processing unit 324. , the second data generation unit 325 generates a second time data sequence Dct2 from the physical quantity data sequence Dc acquired by the data acquisition unit 320 without applying an anti-aliasing filter according to the setting value of the configuration parameter. may be generated. Further, the physical quantity measuring device 3 (data processing device 31) may not include the filter processing section 324.

FIG. 4 is a hardware configuration diagram showing an example of a computer 900 that constitutes 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 configured by a general-purpose or dedicated computer 900.

As shown in FIG. 4, the computer 900 includes 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, and a communication I/F (interface) as its main components. 922 , an external device I/F section 924 , an I/O (input/output) device I/F section 926 , and a media input/output section 928 . Note that the above-mentioned components may be omitted as appropriate depending on the purpose for which the computer 900 is used.

The processor 912 includes one or more arithmetic processing units (CPU (Central Processing Unit), MPU (Micro-Processing Unit), DSP (Digital Signal Processor), GPU (Graphics Processing Unit), NPU (Neural Processing Unit), etc.) It operates as a control unit that controls the entire computer 900. The memory 914 stores various data and programs 930, and includes, for example, a volatile memory (DRAM, SRAM, etc.) that functions as a main memory, a nonvolatile memory (ROM), a flash memory, etc.

The input device 916 includes, for example, a keyboard, a mouse, a numeric keypad, an electronic pen, etc., and functions as an input unit. The output device 917 is configured with, for example, a sound (voice) output device, a vibration device, etc., and functions as an output section. The display device 918 is configured with, for example, a liquid crystal display, an organic EL display, electronic paper, a projector, etc., and functions as an output unit. Input device 916 and display device 918 may be configured integrally, such as a touch panel display. The storage device 920 is configured with, for example, an HDD, an SSD, etc., and functions as a storage unit. The storage device 920 stores various data necessary for executing the operating system and programs 930.

The communication I/F section 922 is connected to a network 940 such as the Internet or an intranet (which may be the same as the network 7 in FIG. 1) by wire or wirelessly, and exchanges data with other computers according to a predetermined communication standard. It functions as a communication unit that sends and receives information. The external device I/F section 924 is connected to an external device 950 such as a camera, printer, scanner, reader/writer, etc. by wire or wirelessly, and serves as a communication section that sends and receives data to and from the external device 950 according to a predetermined communication standard. Function. The I/O device I/F unit 926 is connected to an I/O device 960 such as various sensors and actuators, and transmits, for example, a detection signal from a sensor, a control signal to an actuator, etc. with the I/O device 960. It functions as a communication unit that sends and receives various signals and data. The media input/output unit 928 includes, for example, a drive device such as a DVD drive or a CD drive, a memory card slot, and a USB connector, and a media (non-temporary storage medium) 970 such as a DVD, CD, memory card, or USB memory. Read and write data to.

In the computer 900 having the above configuration, the processor 912 calls the program 930 stored in the storage device 920 to the memory 914 and executes it, and controls each part of the computer 900 via the bus 910. Note that the program 930 may be stored in the memory 914 instead of the storage device 920. The program 930 may be recorded on 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 being downloaded via the network 940 via the communication I/F unit 922. Further, the computer 900 implements various functions realized by the processor 912 executing the program 930, for example, using FPGA (Field-Programmable Gate Array), ASIC (Application Specific Integrated Circuit), etc. Even if it is realized by hardware good.

The computer 900 is, for example, a stationary computer or a portable computer, and is any type of electronic device. The computer 900 may be a client-type computer, a server-type computer, a cloud-type computer, or, for example, an embedded computer called a control panel, controller (including a microcomputer, programmable logic controller, and sequencer), or the like.

(Data processing method)
FIG. 5 is a flowchart showing an example of the operation of the physical quantity measuring device 3 (data processing device 31). The series of processes (data processing method) shown in FIG. 5 may be repeatedly executed at a predetermined execution cycle, or may be executed based on an execution command from the data collection device 4, for example. In the following, communication is established between the physical quantity measuring device 3 (data processing device 31) and the data collecting device 4 via the network 7, and the setting parameters of the setting information 341 are the same as in FIG. The explanation will be based on the assumption that it has been set.

First, in step S100, the data acquisition unit 320 of the physical quantity measuring device 3 (data processing device 31) acquires physical quantity data measured by the physical quantity sensor 30 as physical quantity data D at a predetermined sampling frequency fs and a predetermined number of sampling points Ns. Get column Dc. The physical quantity data string Dc is composed of physical quantity data D measured at "2048 points" (=sampling point number Ns) measured at a sampling frequency fs of "5120 Hz".

Next, in step S110, the first data generation unit 321 continuously measures a first analysis point number Ns1 (<Ns) from the physical quantity data string Dc acquired by the data acquisition unit 320 in step S100. A first time data string Dct1 is generated by extracting the physical quantity data D of the first number of analysis points Ns1. The first time data string Dct1 is composed of physical quantity data D of "1024 points" (=first number of analysis points Ns1) measured at a sampling frequency fs of "5120 Hz".

Next, in step S120, the first frequency analysis unit 322 performs frequency analysis (Fourier transform) on the first time data string Dct1 generated in step S110, thereby obtaining a first frequency data string Dcf1. Convert to As a result of the Fourier transform performed 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).

Next, in step S130, the first transmission processing unit 323 transmits the first frequency data string Dcf1 converted in step S120 to the data collection device 4. The first frequency data string Dcf1 is displayed on the display screen of the data collection device 4, for example, and is stored in the database 50 via the data collection device 4.

Next, in step S140, the filter processing unit 324 applies an anti-aliasing filter to the physical quantity data string Dc acquired by the data acquisition unit 320 in step S100.

Next, in step S150, the second data generation unit 325 converts the physical quantity data string Dc to which the anti-aliasing filter has been applied in step S140 to the second analysis point number Ns2 (<fs) according to the analysis frequency fs2 (<fs). A second time data string Dct2 is generated by thinning out the physical quantity data D of Ns). The second time data string Dct2 is composed of physical quantity data D of "1024 points" (=second number of analysis points Ns2) measured at an analysis frequency fs2 of "2560 Hz".

Next, in step S160, the second frequency analysis unit 326 performs frequency analysis (Fourier transform) on the second time data string Dct2 generated in step S150, thereby obtaining a second frequency data string Dcf2. Convert to As a result of the Fourier transform performed 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).

Then, in step S170, the second transmission processing unit 327 transmits the second frequency data string Dcf2 converted in step S160 to the data collection device 4, and ends the series of processing. The second frequency data string Dcf2 is displayed on the display screen of the data collection device 4, for example, and is stored in the database 50 via the data collection device 4. Note that step S100 is a data acquisition step, step S110 is a first data generation step, step S120 is a first frequency analysis step, step S130 is a first transmission processing step, step S140 is a filter processing step, and step S150 is a first data generation step. 2, step S160 corresponds to the second frequency analysis step, and step S170 corresponds to the second transmission processing step.

As described above, according to the physical quantity measuring device 3 (data processing device 31) according to the present invention, from the physical quantity data string Dc based on the predetermined sampling frequency fs and the number of sampling points Ns, the sampling frequency is A first time data sequence Dct1 is generated based on fs and the first number of analysis points Ns1 (<Ns), and frequency analysis is performed by the first frequency analysis unit 322, and analysis is performed by the second data generation unit 325. A second time data string Dct2 is generated based on the frequency fs2 (<fs) and the second number of analysis points Ns2 (<Ns), and the second frequency analysis unit 326 performs frequency analysis. Therefore, when performing frequency analyzes with different frequency bands and frequency resolutions, the common physical quantity data string Dc is used, so there is no need to acquire the physical quantity data string Dc twice, which is required for those frequency analyses. Increases in memory capacity and processing time can be suppressed.

(Other embodiments)
The present invention is not limited to the embodiments described above, and can be implemented with various changes without departing from the spirit of the present invention. All of them are included in the technical idea of the present invention.

In the above embodiment, a case has been described in which the data processing device 31 is implemented by the physical quantity measuring device 3, which is a separate device from the pump device 2. Alternatively, some or all of the functions of the data processing device 31 (particularly the functions of the control unit 32) may be implemented in the pump device 2 by being incorporated into the pump control panel 23 of 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. Further, the pump device 2 may include a physical quantity sensor 30.

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 received by the data management device 5 via the data collection device 4, and are used as a storage device. The case where the information is stored in the database 50 has been described. Instead, the destination device and storage device of the first frequency data string Dcf1 and the second frequency data string Dcf2 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 included in the data collection device 4 or the terminal device 6. You can.

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 execution order of each step may be changed as appropriate, or some steps may be May be omitted. For example, step S130 may be executed between step S160 and step S170, or step S140 may be omitted.

In the above embodiment, the physical quantity measuring device 3 is attached to the pump device 2. However, for example, the physical quantity measuring device 3 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. You can. In that case, the physical quantity sensor 30 may measure physical quantities caused by various devices.

DESCRIPTION OF SYMBOLS 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 part, 21... Motor, 22... Joint Part, 23... Pump control panel, 30... Physical quantity sensor, 31... Data processing device, 32... Control unit, 33... Communication unit, 34... Storage unit, 35... Power supply, 50... Database (storage device), 300... Housing , 320... data acquisition section, 321... first data generation section, 322... first frequency analysis section, 323... first transmission processing section, 324... filter processing section, 325... second data generation section, 326 ...Second frequency analysis section, 327...Second transmission processing section, 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

a data acquisition unit that acquires physical quantity data strings each measured at a predetermined sampling frequency and number of sampling points as physical quantity data of a physical quantity to be measured;
From the physical quantity data string acquired by the data acquisition unit, the physical quantity data of the first number of analysis points that are consecutively measured by the first number of analysis points smaller than the number of sampling points are extracted. a first data generation unit that generates a time data string;
a first frequency analysis unit that performs frequency analysis on the first time data sequence generated by the first data generation unit to convert it into a first frequency data sequence;
A second temporal data sequence is obtained by thinning the physical quantity data sequence acquired by the data acquisition unit into physical quantity data having a second number of analysis points smaller than the number of sampling points according to an analysis frequency smaller than the sampling frequency. a second data generation unit that generates;
a second frequency analysis unit that performs frequency analysis on the second time data sequence generated by the second data generation unit to convert it into a second frequency data sequence;
Data processing equipment.
further comprising a filter processing unit that applies an anti-aliasing filter to the physical quantity data string acquired by the data acquisition unit,
The second data generation unit includes:
generating the second time data string from the physical quantity data string to which the anti-aliasing filter has been applied by the filter processing unit;
The data processing device according to claim 1.
The first frequency analysis section and the second frequency analysis section are
As the frequency analysis, Fourier transform is performed,
The frequency band of the Fourier transform by the second frequency analysis section 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 section is:
higher than the frequency resolution of the Fourier transform by the first frequency analysis unit;
The data processing device according to claim 1.
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 includes:
acquiring the physical quantity data string based on the physical quantity measured by the physical quantity sensor;
Physical quantity measuring device.
The physical quantity measuring device includes:
Further comprising a housing that houses the data processing device and the physical quantity sensor and is attachable to the pump device,
The physical quantity sensor is
measuring 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.
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 be able to communicate with the physical quantity measuring device,
The physical quantity measuring device includes:
a first transmission processing unit that transmits the first frequency data string converted by the first frequency analysis unit;
further comprising a second transmission processing unit that transmits the second frequency data string converted by the second frequency analysis unit,
The data collection device includes:
receiving the first frequency data string transmitted by the first transmission processing section and the second frequency data string transmitted by the second transmission processing section, and storing them in a storage device;
Data processing system.
A data processing method for processing data using a computer,
a data acquisition step of acquiring physical quantity data strings each measured at a predetermined sampling frequency and number of sampling points, using the physical quantity to be measured as physical quantity data;
From the physical quantity data string acquired in the data acquisition step, the physical quantity data of the first number of analysis points that are consecutively measured by the first number of analysis points smaller than the number of sampling points are extracted. a first data generation step of generating a time data string;
a first frequency analysis step of converting the first time data string generated by the first data generation step into a first frequency data string by performing frequency analysis;
A second time data sequence is obtained by thinning the physical quantity data sequence acquired in the data acquisition step into physical quantity data having a second number of analysis points smaller than the number of sampling points according to an analysis frequency smaller than the sampling frequency. a second data generation step to generate;
a second frequency analysis step of performing frequency analysis on the second time data string generated by the second data generation step to convert it into a second frequency data string;
Data processing method.