JP2012202948A - Automatic measurement device - Google Patents

Abstract

Provided is an automatic measuring apparatus that can easily identify the cause of a failure even when there is a component failure or an artificial failure such as a mounting error or an assembly error.
A pH meter (automatic measuring device) 1 outputs a potential difference signal output unit (signal output unit) 11 for outputting a potential difference measurement signal between a glass electrode immersed in sample water and a reference electrode, and the measurement signal. A signal analysis unit 12 that analyzes the frequency and intensity, a pH calculation unit (index component amount calculation unit) 13 that calculates the pH of the sample water from the measurement signal, and at least a component defect, or a defect such as a mounting error or an assembly error. An abnormal signal storage unit 14 that stores in advance the frequency and intensity of a signal in some cases, and an abnormal cause that identifies the cause of the malfunction based on the frequency and intensity stored in the signal analysis unit 12 and the abnormal signal storage unit 14 By providing the specifying unit 15, the cause of the failure can be easily specified at the installation site, and the work that has taken much labor and time can be greatly reduced.
[Selection] Figure 3

Description

  In order to continuously monitor the indicator component of water pollution and air pollution, the indicator component of water and sewage, the indicator component of water and solution used in a factory or a plant, etc., this invention is measured outdoors or in the factory premises. The present invention relates to an automatic measuring apparatus installed near a sample.

  A pH meter is conventionally known as an automatic measuring device for measuring pH, which is one of the most basic indicators of water quality and solution. The pH of environmental water, drainage, water and sewage, processes, etc. is distributed near the installation location of the sensors from pH meter sensors immersed in rivers and lakes, outdoor treatment tanks, solution storage tanks in plants, etc. It is converted into a pH measurement value by a provided converter and continuously measured (for example, see FIG. 1). The measured value is displayed on a pH meter and output to a recorder or a monitoring device.

In addition, a COD (Chemical Oxygen Demand) measuring instrument has been conventionally known as an automatic measuring device for measuring the water quality of rivers, lakes, harbors, etc., and polluted states due to organic substances such as factory effluent (for example, Patent Document 1). COD is the amount of chemical oxygen required, and is an indicator of water pollution that oxidizes and decomposes oxidizable substances in water, mainly organic substances, with an oxidant and displays the amount of oxygen consumed at that time in mgO / L. The smaller the numerical value, the smaller the amount of pollution. That is, this is based on the principle that a specific oxidant is bonded to dirt such as organic matter in water to give oxygen, and the more dirt is, the more oxidant is consumed. For example, the structure shown in FIG. .
Regarding this COD analysis method, there is a potassium permanganate method defined in JIS K 0102 “Factory Wastewater Test Method”. The most widely used COD automatic measuring instrument is currently manufactured in accordance with the standard of JIS K 0806 “Chemical oxygen consumption (COD) automatic measuring instrument”. A measuring instrument that conforms to this standard introduces water in public water areas such as rivers and lakes and water discharged from factories and offices, and performs continuous measurements within a period of one hour.

Further, as an example of an automatic measuring device that measures pollutants in the atmosphere, an ozone measuring device based on an ultraviolet absorption method has been conventionally known (for example, see Patent Document 2). This is based on the principle that ultraviolet rays of a specific wavelength are absorbed by ozone, and the absorption rate is proportional to the ozone concentration. For example, the configuration shown in FIG.
In the ozone measuring apparatus 30 of FIG. 8, 31 is a sample gas introduction port, 32 is a sample gas flow pipe, 33 is a three-way switching valve, 34 is a bypass pipe, 35 is an ozone decomposer, 36 is an ultraviolet absorption cell, and 37 is an ultraviolet lamp. , 38 are detectors, 39 is a comparison operation circuit, 40 is a flow meter, 41 is a pump, 42 is a pipe, and 43 is a sample gas outlet.
An automatic air pollution measuring device such as this ozone measuring device is installed in an urban area, in an unmanned measuring station building, in a tunnel, or in a factory premises, and continuously measures the amount of an indicator component.

JP-A-2005-195212 JP-A-7-159313

As described above, the automatic measurement device that measures the indicator component of water pollution and air pollution, the indicator component of water and sewage, the indicator component of water and solution used in factories or plants, etc. continuously monitors the indicator component amount. Therefore, it is installed near the sample to be measured, such as outdoors or in a factory premises. In such a field, the measurement value may become unstable due to the influence of a noise source such as an AC 100 V power supply, a switching power supply, or a radio broadcast station radio wave. In addition, the reason why the measured value is not stable may be due to a defective part or an artificial defect such as a mounting error or an assembly error.
However, with the conventional automatic measuring device as described above, it is difficult to identify the cause even if it is found that a problem has occurred due to unstable measurement values at the installation site. Or, since the cause could only be found by repeating the re-installation and re-assembly at the installation site by trial and error, there was a problem that work requiring much labor and time occurred.

  The present invention has been made to solve the above-described problems, and can be easily performed at the installation site even when there is a component failure or an artificial defect such as a mounting error or an assembly error. An object of the present invention is to provide an automatic measuring device that can identify the cause of a malfunction.

  In order to achieve the above object, according to the present invention, in an automatic measurement apparatus for measuring an index component amount related to a sample, a signal output unit that outputs a measurement signal based on the index component amount, and a frequency and intensity are analyzed from the measurement signal A signal analysis unit, an index component amount calculation unit that calculates the index component amount from the measurement signal, and a frequency and intensity of a signal in the case of at least a component defect, or a malfunction such as an attachment error or an assembly error are stored in advance. An abnormal signal storage unit, an abnormality cause identification that identifies the cause of the malfunction based on the frequency and intensity of the measurement signal analyzed by the signal analysis unit and the frequency and intensity of the signal stored in the abnormal signal storage unit It comprises a part.

  According to the automatic measuring device of the present invention, even if there is a component defect or an artificial defect such as a mounting error or an assembly error, the cause of the defect can be easily identified at the installation site, It can greatly reduce the work that was very laborious and time consuming.

It is a figure which shows an example of the basic composition of the pH meter (automatic measurement apparatus) in Embodiment 1 of this invention. In the automatic measuring apparatus in Embodiments 1-3 of this invention, it is a figure which shows the frequency spectrum of the measurement signal in the case of earthing attachment defect having / not having. It is a functional block diagram of the pH meter (automatic measuring device) in Embodiment 1 of this invention. It is a flowchart which shows operation | movement of the pH meter (automatic measurement apparatus) in Embodiment 1 of this invention. It is a figure which shows an example of the system | strain of the COD measuring device (automatic measuring device) in Embodiment 2 of this invention. It is a functional block diagram of the COD measuring device (automatic measuring device) in Embodiment 2 of this invention. It is a flowchart which shows operation | movement of the COD measuring device (automatic measuring device) in Embodiment 2 of this invention. It is a figure which shows an example of schematic structure of the ozone measuring device (automatic measuring device) by the ultraviolet absorption method in Embodiment 3 of this invention. In the ozone measuring device (automatic measuring device) in Embodiment 3 of this invention, it is a figure which shows the frequency spectrum of the measurement signal in case there is no component failure used with a switching power supply. It is a functional block diagram of the ozone measuring device (automatic measuring device) in Embodiment 3 of this invention. It is a flowchart which shows operation | movement of the ozone measuring device (automatic measuring device) in Embodiment 3 of this invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
Embodiment 1 FIG.
FIG. 1 is a diagram illustrating an example of a basic configuration of a pH meter (automatic measurement device) 1 as described above. The pH meter (automatic measuring device) 1 is composed of a converter 2 and a sensor 4 incorporated in the electrode holder 3. The sensor 4 includes a glass electrode (not shown) and a comparison electrode (not shown). The sensor 4 constitutes a potential difference signal output unit (signal output unit) 11 described later.
The pH of the sample water (indicator component amount) is measured by the pH meter (automatic measuring device) 1 by measuring the electromotive force generated on the glass electrode of the sensor 4 immersed in the sample water as a potential difference from the reference electrode. This is done by outputting to the converter 2. In the converter 2, this measurement signal is converted into a pH measurement value. The converter 2 constitutes a pH calculation unit (index component amount calculation unit) 13 to be described later.

  Here, a frequency spectrum indicating frequency and intensity can be obtained by performing Fourier transform such as FFT (Fast Fourier Transform) on the measurement signal.

  FIG. 2 (a) was measured with normal measurement signals, that is, at least in the absence of artificial defects such as assembly errors such as mounting errors such as defective parts and poor grounding, and loose screws. It is a figure which shows the FFT waveform (frequency spectrum) of the measurement signal corresponding to an electrical potential difference. The pH meter (automatic measuring device) 1 stores in advance a frequency spectrum of a signal measured in a state in which at least there is no component failure, and there is no artificial defect such as an attachment error or an assembly error.

On the other hand, FIG.2 (b) is a figure which shows a frequency spectrum in case there exists a malfunction of earth attachment failure. As can be seen from this figure, when there is a problem of poor grounding, the fundamental wave of commercial power supply noise due to poor grounding is superimposed, and near the commercial power supply noise and the fundamental wave of the measurement signal, Harmonics of commercial power supply noise due to poor grounding are detected. This signal is stored in advance as an abnormal signal when there is a problem of poor grounding.
In addition to this, signals in the case of various problems such as assembly errors such as loose screws and defective parts such as broken parts are also measured and stored in advance as abnormal signals.

  FIG. 3 is a functional block diagram of the pH meter (automatic measuring device) 1 according to the first embodiment of the present invention, and FIG. 4 is a flowchart showing the operation of the pH meter (automatic measuring device) 1. The operation of the pH meter (automatic measurement apparatus) 1 according to the first embodiment of the present invention will be described with reference to FIGS.

Here, as described above, the abnormal signal storage unit 14 includes signals that are measured in advance when there are various problems such as a component failure, a mounting error such as a ground mounting failure, or an assembly error such as a loose screw. , Stored in advance. Then, analysis results for a plurality of abnormality signals stored in the abnormality signal storage unit 14 are output to the abnormality cause identification unit 15.
In the following description, it is assumed that a plurality of abnormal signals are already stored in the abnormal signal storage unit 14 and an analysis result obtained by analyzing the frequency and intensity of the abnormal signals is also stored.

  First, the potential difference signal output unit (signal output unit) 11 outputs a measurement signal of the potential difference between the glass electrode immersed in the sample water and the comparison electrode (step ST11). The signal analysis unit 12 analyzes the frequency and intensity from the measurement signal obtained by this output, and outputs the result to the abnormality cause identification unit 15 (step ST12). Next, the abnormality cause identification unit 15 compares the frequency and intensity of the measurement signal analyzed by the signal analysis unit 12 with the frequency and intensity of the plurality of abnormality signals transmitted from the abnormality signal storage unit 14. Then, it is specified whether or not an abnormality cause is included in the measurement signal, and if it is included, what kind of abnormality cause is included (step ST13).

  As a result, if the cause of the abnormality is not included (NO in step ST14), the pH is calculated by the pH calculator (index component amount calculator) 13 (step ST15). Since the method for obtaining the pH is a known method, the description thereof is omitted here.

  On the other hand, if the cause of the abnormality identified in step ST13 is a defective part or an artificial defect such as a mounting or assembly error (in the case of YES in step ST14), where is the cause of the abnormality? Information is provided (step ST16), and the process is terminated. Here, as a method of notifying the cause of the abnormality, characters or diagrams are displayed on a display unit (not shown) or an information display device such as a PC connected to the outside, a lamp is lit, an alarm sound is generated. Various methods are conceivable, and any method may be used.

  As a result, if there is a problem such as a component failure or a mounting error such as a grounding failure or an assembly error such as loosening of a screw, the failure is notified as the cause of the abnormality, so that the problem can be dealt with immediately. Therefore, it is unnecessary to find the cause of the abnormality by trial and error over time and effort, and it is possible to prevent the measurement from being continued in an abnormal state.

  As described above, according to the pH meter (automatic measuring device) in the first embodiment of the present invention, since it is configured as described above, there is a defective part or an artificial defect such as a mounting error or an assembly error. Even in such a case, it is possible to easily identify the cause of the trouble at the installation site, and the work that has taken much time and labor can be greatly reduced.

Embodiment 2. FIG.
FIG. 5 is a diagram illustrating an example of a system of the COD measuring instrument (automatic measuring apparatus) 20 as described above. The measurement of oxygen consumption in the sample water by the COD measuring instrument (automatic measuring apparatus) 20 is performed according to the following procedure.
(1) Collect an appropriate amount of sample and inject dilution water to make 100 mL.
(2) A sulfuric acid solution is added, and 1 g of silver nitrate is added.
(3) Add potassium permanganate.
(4) Heat in a boiling water bath for 30 minutes and add sodium oxalate solution.
(5) The amount of consumed potassium permanganate is measured by potentiometric titration.
(6) The amount of potassium permanganate thus determined is converted into oxygen consumption (COD).

  For the potentiometric titration measurement signal measured as described above, a Fourier spectrum such as FFT (Fast Fourier Transform) is performed to obtain a frequency spectrum indicating frequency and intensity, as in the first embodiment. be able to.

  The COD measuring instrument (automatic measuring device) 20 has at least a frequency spectrum of a signal measured in a state where there is no artificial defect such as a component defect and a mounting error or an assembly error, and an abnormal signal when there are various defects. Are measured and stored in advance.

  FIG. 6 is a functional block diagram of the COD measuring instrument (automatic measuring apparatus) 20 according to Embodiment 2 of the present invention, and FIG. 7 is a flowchart showing the operation of the COD measuring instrument (automatic measuring apparatus) 20. The operation of the COD measuring instrument (automatic measuring apparatus) 20 according to the second embodiment of the present invention will be described with reference to FIGS.

Here, as described above, the abnormal signal storage unit 24 includes signals that are measured in advance when there are various problems such as a component failure, a mounting error such as a ground mounting failure, or an assembly error such as a loose screw. , Stored in advance. Then, analysis results for a plurality of abnormality signals stored in the abnormality signal storage unit 24 are output to the abnormality cause identification unit 25.
Here, it is assumed that a plurality of abnormal signals are already stored in the abnormal signal storage unit 24 in advance, and an analysis result obtained by analyzing the frequency and intensity of the abnormal signals is also stored.

  First, the potentiometric titration signal output unit (signal output unit) 21 collects sample water whose oxygen consumption (indicator component amount) is to be measured and reacts by adding potassium permanganate (oxidant). Then, a potentiometric titration measurement signal for determining the amount of consumed potassium permanganate is output (step ST21). The signal analysis unit 22 analyzes the frequency and intensity from the measurement signal obtained by this output, and outputs the result to the abnormality cause identification unit 25 (step ST22). Next, the abnormality cause identification unit 25 compares the frequency and intensity of the measurement signal analyzed by the signal analysis unit 22 with the frequency and intensity of a plurality of abnormality signals sent from the abnormality signal storage unit 24. Then, it is specified whether or not an abnormality cause is included in the measurement signal, and if it is included, what kind of abnormality cause is specified (step ST23).

  As a result, if the cause of the abnormality is not included (NO in step ST24), the oxygen consumption amount (COD) is obtained by the oxygen consumption amount calculation unit (index component amount calculation unit) 23 (step ST25). Since the method for obtaining the oxygen consumption (COD) is a well-known method, the description thereof is omitted here.

  On the other hand, if the cause of the abnormality identified in step ST23 is a defective part or an artificial defect such as a mounting error or assembly error (YES in step ST24), where is the cause of the abnormality? Notification is made (step ST26), and the process is terminated. Here, as a method of notifying the cause of the abnormality, characters or diagrams are displayed on a display unit (not shown) or an information display device such as a PC connected to the outside, a lamp is lit, an alarm sound is generated. Various methods are conceivable, and any method may be used.

  As a result, if there is a problem such as a component failure or a mounting error such as a grounding failure or an assembly error such as loosening of a screw, the failure is notified as the cause of the abnormality, so that the problem can be dealt with immediately. Therefore, it is unnecessary to find the cause of the abnormality by trial and error over time and effort, and it is possible to prevent the measurement from being continued in an abnormal state.

  As described above, according to the COD measuring instrument (automatic measuring apparatus) according to the second embodiment of the present invention, since it is configured as described above, it is a defective part, or an artificial defect such as a mounting error or an assembly error. Even if there is a problem, it is possible to easily identify the cause of the malfunction at the installation site, and the work that has taken much time and labor can be greatly reduced.

Embodiment 3 FIG.
FIG. 8 is a diagram illustrating an example of a schematic configuration of the ozone measuring device (automatic measuring device) 30 based on the ultraviolet absorption method as described above. In this ozone measuring device (automatic measuring device) 30, 31 is a sample gas introduction port, 32 is a sample gas flow pipe, 33 is a three-way switching valve, 34 is a bypass pipe, 35 is an ozone decomposer, 36 is an ultraviolet absorption cell, 37 Is an ultraviolet lamp, 38 is a detector, 39 is a comparison operation circuit, 40 is a flow meter, 41 is a pump, 42 is a pipe, and 43 is a sample gas outlet. Further, the ultraviolet absorption cell 36, the ultraviolet lamp 37, and the detector 38 constitute an ultraviolet absorbance signal output unit (signal output unit) 51 described later, and a comparison calculation circuit 39 includes an ozone concentration calculation unit (index component amount calculation) described later. Part) 53.

Measurement of the ozone concentration (index component amount) in the sample gas by the ozone measuring device (automatic measuring device) 30 shown in FIG. 8 is performed according to the following procedure.
(1) The sample gas is sucked into the flow pipe 32 from the sample gas inlet 31 by the operation of the pump 41, and the sample gas is introduced into the cell 36 without passing through the bypass pipe 34 by operating the three-way switching valve 33. .
(2) The sample gas in the cell 36 is irradiated with ultraviolet rays having a specific wavelength from the ultraviolet lamp 37. Thereby, ultraviolet rays proportional to the concentration of coexisting components having absorption in ozone and other ultraviolet rays in the sample gas are absorbed in the sample gas. The attenuated ultraviolet light is measured by the detector 38, converted into an electric signal corresponding to the intensity, and output.
(3) The three-way switching valve 33 is switched, the sample gas is introduced into the cell 36 through the bypass pipe 34, and the same measurement is performed. In this case, since only ozone (indicator component) in the sample gas is decomposed by the ozone decomposer 35, ultraviolet rays proportional to the concentration of coexisting components other than ozone are absorbed. The attenuated ultraviolet light is measured by the detector 38, converted into an electric signal corresponding to the intensity, and output.
(4) The measurement signal of the ultraviolet intensity attenuated by ozone and other coexisting components and the measurement signal of the ultraviolet intensity attenuated only by the coexisting components are compared and calculated by the comparison calculation circuit 39, and the difference is used as a measurement value of the ozone concentration Output. By repeating the above operation, the ozone concentration (indicator component amount) in the sample gas is intermittently measured.

  Here, the frequency and intensity are shown by performing Fourier transform such as FFT (Fast Fourier Transform) on the UV absorbance measurement signal measured as described above, as in the first and second embodiments. A frequency spectrum can be obtained.

  The ozone measuring device (automatic measuring device) 30 has at least a frequency spectrum of a signal measured in a state where there is no artificial defect such as a component defect, a mounting error or an assembly error, and an abnormal signal when there are various defects. Are measured and stored in advance.

In addition, the ozone measuring apparatus based on the ultraviolet absorption method has a problem that since the amount of ultraviolet light attenuated by absorption is very small, only a small signal can be obtained and it is vulnerable to noise.
Therefore, if it is affected by noise due to AC100V power supply, switching power supply or radio broadcast station radio waves, and if there is a faulty part, or an artificial fault such as a mounting or assembly error, the cause of the abnormality Identification becomes increasingly difficult.

Therefore, since it is known information that the peak signal is usually obtained by the influence of the AC 100V power supply and switching power supply, which easily carry noise, and the influence of broadcast waves such as radio. The noise information is also stored in advance.
FIG. 9A is a diagram showing a frequency spectrum of a normal measurement signal in which a noise component of the switching power supply is detected, and FIG. 9B is a diagram showing the failure of an electrolytic capacitor used in the switching power supply. It is a figure which shows a frequency spectrum in the case of being.
By storing these signals, when the intensity of a known noise component is extremely high, it is possible to identify a failure of a component (component failure) related to the noise component.

  FIG. 10 is a functional block diagram of an ozone measuring device (automatic measuring device) 30 according to Embodiment 3 of the present invention, and FIG. 11 is a flowchart showing the operation of the ozone measuring device (automatic measuring device) 30. The operation of the ozone measuring device (automatic measuring device) 30 according to the third embodiment of the present invention will be described with reference to FIGS.

Here, in the abnormal signal storage unit 54, as described above, signals that have been measured in advance when there are various problems such as a component failure or a mounting error such as a ground mounting failure or an assembly error such as a loose screw, In addition, signals measured in advance under the influence of various noises such as AC100V power supply, switching power supply, broadcast wave of radio, etc., and further, the state affected by these various noises and the above various problems In the case where there is a signal, a signal measured in advance is stored in advance, and an analysis result obtained by analyzing the frequency and intensity from the plurality of abnormal signals measured in advance is also stored. Then, analysis results for a plurality of abnormality signals stored in the abnormality signal storage unit 54 are output to the abnormality cause identification unit 55.
Here, it is assumed that a plurality of abnormal signals are already stored in the abnormal signal storage unit 54 in advance, and analysis results obtained by analyzing the frequency and intensity of the abnormal signals are also stored.

  First, a sample gas for measuring the ozone concentration (index component amount) contained therein is introduced, and an ultraviolet absorbance measurement signal is output by the ultraviolet absorbance signal output section (signal output section) 51 (step ST31). The signal analysis unit 52 analyzes the frequency and intensity from the measurement signal obtained by this output, and outputs the result to the abnormality cause identification unit 55 (step ST32). Next, the abnormality cause identifying unit 55 compares the frequency and intensity of the measurement signal analyzed by the signal analysis unit 52 with the frequency and intensity of a plurality of abnormality signals sent from the abnormality signal storage unit 54. Then, it is determined whether or not an abnormality cause is included in the measurement signal, and if it is included, what kind of abnormality cause is included (step ST33).

  As a result, if the cause of the abnormality is not included or the cause of the abnormality is only due to known noise (NO in step ST34), the influence of the noise is removed from the measurement signal (step ST35). Then, the ozone concentration is calculated by the ozone concentration calculator (index component amount calculator) 53 (step ST36). The method for obtaining the ozone concentration can be obtained by performing inverse Fourier transform on the frequency spectrum after removing the noise. However, since this is a known method, the description thereof is omitted here.

  On the other hand, if the cause of the abnormality identified in step ST33 is a defective part or an artificial defect such as a mounting or assembly error (in the case of YES in step ST34), where is the cause of the abnormality? The notification is made (step ST37), and the process is terminated. Here, as a method of notifying the cause of the abnormality, characters or diagrams are displayed on a display unit (not shown) or an information display device such as a PC connected to the outside, a lamp is lit, an alarm sound is generated. Various methods are conceivable, and any method may be used.

  Due to this, even if it is affected by noise from AC100V power supply, switching power supply or radio broadcast station radio wave, etc., defects such as defective parts, mounting errors such as poor grounding, and assembly errors such as loose screws If there is a problem, the problem is reported as the cause of the abnormality, so that the problem can be dealt with immediately, and it is not necessary to find the cause of the problem by trial and error over time and trouble. It is possible to prevent the measurement from being continued in the state.

  As described above, according to the ozone measuring apparatus (automatic measuring apparatus) according to Embodiment 3 of the present invention, since it has the above-described configuration, it is a defective part, or an artificial defect such as a mounting error or an assembly error. Even if there is a problem, it is possible to easily identify the cause of the malfunction at the installation site, and the work that has taken much time and labor can be greatly reduced.

  In the present invention, within the scope of the invention, any combination of the embodiments, or any modification of any component in each embodiment, or omission of any component in each embodiment is possible. .

  1 pH meter (automatic measuring device), 2 converter, 3 electrode holder, 4 sensor, 11 potential difference signal output unit (signal output unit), 12, 22, 52 signal analysis unit, 13 pH calculation unit (index component amount calculation unit) ), 14, 24, 54 Abnormal signal storage unit, 15, 25, 55 Abnormal cause identification unit, 20 COD measuring device (automatic measuring device), 21, potentiometric titration signal output unit (signal output unit), 23 Oxygen consumption calculation Part (index component amount calculation part), 30 ozone measuring device (automatic measuring device), 31 sample gas inlet, 32 sample gas flow pipe, 33 three-way switching valve, 34 bypass pipe, 35 ozone decomposer, 36 ultraviolet absorption cell, 37 UV lamp, 38 detector, 39 comparison operation circuit, 40 flow meter, 41 pump, 42 pipe, 43 sample gas outlet, 51 UV absorbance signal output unit (signal output unit) 53 Ozone concentration calculation unit (index component amount calculation unit).

Claims (1)

In an automatic measuring device that measures the amount of an indicator component related to a sample,
A signal output unit for outputting a measurement signal based on the index component amount;
A signal analyzer for analyzing the frequency and intensity from the measurement signal;
An index component amount calculator that calculates the index component amount from the measurement signal;
An abnormal signal storage unit that stores in advance the frequency and intensity of a signal when there is at least a component defect, or a malfunction such as an installation error or an assembly error,
An abnormality cause identifying unit that identifies the cause of the malfunction based on the frequency and intensity of the measurement signal analyzed by the signal analysis unit and the frequency and intensity of the signal stored in the abnormality signal storage unit, Automatic measuring device to do.

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