Deterioration diagnosis device, deterioration diagnosis system, and deterioration diagnosis method

Abstract

The invention provides a deterioration diagnosis device, a deterioration diagnosis system and a deterioration diagnosis method, which can perform deterioration diagnosis according to a constant index from the past to the present while taking into account the influence caused by the change of the operating state of an ozone generator. A deterioration diagnosis device according to the present disclosure includes: an item-related information acquisition unit that acquires item-related information including information on a constant operating condition of an ozone generator; a measurement unit that acquires measurement data indicating the operating state of the ozone generator; and a diagnosis unit that, on the basis of the item-related information and the measurement data, calculates a performance evaluation index indicating the performance of the ozone generator in the operating state corresponding to the constant operating condition, and diagnoses the deterioration state of the ozone generator.

Description

Technical Field

[0001] The present disclosure relates to a degradation diagnosis device, a degradation diagnosis system, and a degradation diagnosis method for performing degradation diagnosis of a silent discharge type ozone generator. Background Art

[0002] In silent discharge type ozone generators, the ozone generation efficiency often decreases with long-term use. Therefore, under normal circumstances, maintenance such as opening for inspection or cleaning, replacement of parts or repairs is generally performed within a certain period. However, when maintenance is performed at a certain period, there are problems such as useless maintenance due to exceeding the necessary frequency and failure to stop due to untimely maintenance. Therefore, a method is proposed to monitor the performance of the ozone generator while issuing an alarm when the performance decreases to notify the period required for maintenance.

[0003] The ozone generation efficiency used for the degradation diagnosis of the ozone generator mainly depends on three parameters: the water temperature of the cold water used to cool the ozone generator, the ozone concentration, and the power density (a parameter obtained by dividing the discharge power by the discharge area in the ozone generator). In order to accurately evaluate the performance of the ozone generator, it is necessary to consider that these parameters will change with the operating conditions of the ozone generator. In Patent Document 1, the unit power consumption is used as the performance evaluation index of the ozone generator, and the initial value of the unit power consumption is calculated corresponding to the current water temperature. By comparing the initial value and the current value of the unit power consumption, the performance degradation of the ozone generator can be detected even when the water temperature is different during the initial operation and the current operation. Prior art literature Patent Literature

[0004] Patent Document 1: Japanese Patent Laid-Open No. 8-217415 Summary of the invention Technical problem to be solved by the invention

[0005] However, in the prior art, in order to obtain the initial value of the performance evaluation index corresponding to the parameter value under the current operating condition, there is a problem that only the current state and the initial state can be compared, and it is difficult to perform degradation diagnosis according to an indicator that is constant from the past to the present.

[0006] The present disclosure is completed to solve the above-mentioned problems, and therefore its purpose is to provide a degradation diagnosis device, a degradation diagnosis system and a degradation diagnosis method, which can perform degradation diagnosis according to indicators that are constant from the past to the present while considering the influence of changes in the operating conditions of the ozone generator. Technical means for solving technical problems

[0007] The degradation diagnosis device involved in the present disclosure includes: an item-related information acquisition unit, which acquires item-related information including information on a constant operating condition of an ozone generator; a measuring unit, which acquires measurement data representing an operating condition of the ozone generator; and a diagnosis unit, which calculates a performance evaluation index corresponding to the constant operating condition and representing the performance of the ozone generator under the operating condition based on the item-related information and the measurement data, and diagnoses the degradation condition of the ozone generator.

[0008] The degradation diagnosis system involved in the present disclosure includes: an ozone generator; an item-related information acquisition unit, which acquires item-related information including information on constant operating conditions of the ozone generator; a measuring unit, which acquires measurement data representing the operating status of the ozone generator; and a diagnosis unit, which calculates a performance evaluation index corresponding to the constant operating conditions and representing the performance of the ozone generator under the operating status based on the item-related information and the measurement data, and diagnoses the degradation status of the ozone generator.

[0009] The degradation diagnosis method involved in the present disclosure includes: a step of obtaining item-related information including information on a constant operating condition of an ozone generator; a step of obtaining measurement data representing the operating condition of the ozone generator; and a step of calculating a performance evaluation index corresponding to the constant operating condition and representing the performance of the ozone generator under the operating condition based on the item-related information and the measurement data, and diagnosing the degradation condition of the ozone generator. Effects of the Invention

[0010] According to the degradation diagnosis device, degradation diagnosis system and degradation diagnosis method involved in the present disclosure, the performance of the ozone generator is evaluated by using item-related information including constant operating conditions of the ozone generator and measurement data representing the operating status of the ozone generator, thereby being able to perform degradation diagnosis according to indicators that are constant from the past to the present while taking into account the impact of changes in the operating status of the ozone generator. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 It is a schematic configuration diagram showing a degradation diagnosis system according to Embodiment 1 of the present disclosure. Figure 2 This is a schematic configuration diagram showing the hardware configuration of the degradation diagnosis device according to the first embodiment of the present disclosure. Figure 3 This is a flowchart showing a degradation diagnosis method of the degradation diagnosis device according to Embodiment 1 of the present invention. Figure 4 This is a table showing the correspondence relationship among the design generation efficiency, power density, ozone concentration, and water temperature of the degradation diagnosis device according to Embodiment 1 of the present disclosure. Figure 5 : is a graph showing an example of the generation amount index and the discharge power of the degradation diagnosis device according to the first embodiment of the present disclosure. Figure 6 It is a schematic configuration diagram showing a degradation diagnosis device according to a second embodiment of the present disclosure. Figure 7 : is a graph showing an example of the generation amount index and the discharge power of the degradation diagnosis device according to the second embodiment of the present disclosure. Figure 8 This is a flowchart showing a degradation diagnosis method of the degradation diagnosis device according to Embodiment 3 of the present invention. Fig. 9 This is a flowchart showing a degradation diagnosis method of the degradation diagnosis device according to the fourth embodiment of the present disclosure. Fig.10 This is a flowchart showing a subroutine of a degradation diagnosis method of the degradation diagnosis device according to the fourth embodiment of the present disclosure. DETAILED DESCRIPTION

[0012] Implementation method 1. Figure 1 FIG. 2 is a schematic diagram showing a degradation diagnosis system according to Embodiment 1 of the present disclosure. Figure 1 As shown, the degradation diagnosis system 100 includes an ozone generator 10 and a degradation diagnosis device 1. The degradation diagnosis device 1 of the present disclosure includes an item-related information acquisition unit 2, a measurement unit 4, and a diagnosis unit 5. Figure 1 2 shows an example in which the degradation diagnosis device 1 includes the item-specific information calculation unit 3 , but the item-specific information calculation unit 3 may be included as a function in the item-related information acquisition unit 2 or in the diagnosis unit 5 .

[0013] The item-related information acquisition unit 2 acquires item-related information 12, which is determined by the item for which the ozone generator 10 is used and is information including the constant operating condition of the ozone generator 10. The constant operating condition of the ozone generator 10 is a predetermined condition uniquely determined when the ozone generator 10 is introduced, and is a predetermined value such as the rated condition of the ozone generator 10. The item-specific information calculation unit 3 calculates the item-specific information 13 based on the item-related information. The measurement unit 4 acquires measurement data 14 indicating the operating status of the ozone generator 10. At this time, the operating status of the ozone generator 10 indicates the change of each data when the ozone generator 10 is operated from the past to the present, for example, from the initial value to the current value of the data that can be obtained when the ozone generator 10 is operated. The diagnosis unit 5 calculates a performance evaluation index corresponding to the constant operating condition of the ozone generator 10 and indicating the performance of the ozone generator under the operating status at the time of the current or degradation diagnosis, using the item-related information 12 and the measurement data 14, and diagnoses the degradation status of the ozone generator based on the value corresponding to the operating status of the performance evaluation index. The degradation condition indicates the aging change of the performance degradation of the ozone generator 10 and the degree of the performance degradation.

[0014] The ozone generator 10 is, for example, a common silent discharge type ozone generator. When a raw gas containing oxygen is input, the ozone generator 10 is powered from a power supply device (not shown). As a result, a silent discharge is generated inside the ozone generator 10, ozone is generated from the oxygen in the raw gas, and is discharged as an ozone-containing gas. In addition, since heat is generated due to the discharge at this time, cold water for cooling the ozone generator 10 passes through the ozone generator 10. Generally speaking, for the ozone generator 10, the cold water flow rate is set so that the cold water outlet temperature rises by about 3 to 5°C compared to the cold water inlet temperature.

[0015] The ozone generation amount is represented by the product of the ozone concentration and the raw gas flow rate. The rated ozone generation amount is the maximum ozone generation amount set in the operation of the ozone generator 10. The ozone concentration and raw gas flow rate required to obtain the rated ozone generation amount are hereinafter referred to as the rated ozone concentration and the rated raw gas flow rate.

[0016] In normal operation, the ozone generator 10 is often operated in a manner that the ozone generation amount is lower than the rated ozone generation amount. This operation is hereinafter referred to as partial load operation. As control methods in partial load operation, there are two methods: a method of constant concentration / variable raw gas flow rate and a method of constant raw gas flow rate / variable concentration.

[0017] The constant concentration / variable raw gas flow rate method is a method of reducing the raw gas flow rate while maintaining the ozone concentration at the rated ozone concentration. Since this method can save the raw gas flow rate, it is often used when liquid oxygen is used as the raw material.

[0018] The method of constant raw gas flow rate / variable concentration is a method of reducing the ozone concentration while the raw gas flow rate maintains the rated raw gas flow rate. This method is often used in situations where the raw gas cost (including the electricity cost for manufacturing) is relatively cheap and the reduction of the raw gas flow rate does not help much in reducing the raw gas cost, and in situations where the raw material supply device is structurally difficult to follow any changes in the raw gas flow rate. Specifically, the raw gas of the ozone generator 10 is an air raw material and the raw gas of the ozone generator 10 is a PSA raw material. When the raw gas is a VPSA raw material, both constant concentration / variable raw gas flow rate and constant raw gas flow rate / variable concentration are used.

[0019] In the first embodiment, the case where the partial load operation is performed in the constant concentration / variable raw gas flow rate control method is described.

[0020] Figure 2 1 is a simplified block diagram showing the hardware structure of the degradation diagnosis device of Embodiment 1 of the present disclosure. The computer 22 includes, for example, a CPU (Central Processing Unit) 23, a main storage device 24, and an auxiliary storage device 25. For example, the main storage device 24 can be considered as a RAM, and the auxiliary storage device 25 can be considered as a storage medium such as a hard disk. The input device 21 and the output device 28 are provided outside the computer 22. The input device 21 is, for example, a mouse or a keyboard. In addition, the output device 28 can be, for example, a display monitor that displays the output results from the computer 22. In addition, as Figure 2 As shown, the computer 22 is connected to the external storage device 27 via the network 26, and acquires information required for calculation from the external recording medium. In addition, the computer 22 can store the calculation results in the external storage medium.

[0021] The project-related information acquisition unit 2, the project-specific information calculation unit 3, the measurement unit 4, and the diagnosis unit 5 are implemented as internal calculation processing of the computer 22 by the CPU 23 and the main storage device 24. That is, each process in the diagnosis unit 5 and the like is implemented by the CPU 23 as a processor executing a program developed on the main storage device 24 as a memory. The CPU 23 reads the data on the main storage device 24, performs each process, and stores the result in the main storage device 24.

[0022] Figure 3 FIG. 1 is a flowchart showing a degradation diagnosis method of a degradation diagnosis device according to Embodiment 1 of the present disclosure. Figure 3 A method of diagnosing degradation of the ozone generator 10 by the degradation diagnosis device 1 will be described.

[0023] First, in step S101, the project-related information acquisition unit 2 performs a process of acquiring project-related information 12. The project-related information 12 is, for example, the structural specifications and constant operating conditions of the ozone generator 10 used in the project to which the degradation diagnosis system is applied. The project-related information is uniquely determined when the target project is determined. The project does not need to be determined for each airport or each project. For example, if there are two types of ozone generators a and i in a project called A water purification plant B phase project, it can be said that there are two projects, A water purification plant B phase project a and A water purification plant B phase project i.

[0024] The item-related information 12 includes, for example, the raw material type, the rated ozone generation Gr [kg / h], the rated ozone concentration Cr and its unit (in g / m 3 (N)] or [wt%]), rated cold water temperature tr [°C], rated cold water flow fw [L / min], number of electrodes p of the ozone generator, maximum discharge power Emax [kW], etc. The raw material types include, for example, air raw material, liquid oxygen raw material, (V)PSA raw material, etc. The rated cold water temperature is the rated value of the temperature at the inlet of the raw material of the ozone generator.

[0025] In the present embodiment, it is assumed that the ozone generator 10 is operated at part load in a control mode of constant concentration / variable raw gas flow rate. Therefore, the item-related information 12 includes the rated ozone concentration Cr, but does not include the rated raw gas flow rate. On the other hand, for example, in a case where the ozone generator 10 is operated at part load in a control mode of constant raw gas flow rate / variable concentration, the item-related information 12 may include the rated raw gas flow rate, but does not include the rated ozone concentration Cr. In addition, the item-related information 12 may also include information on the control mode of the partial load operation.

[0026] In the description of the present embodiment, the units of the rated ozone concentration are described in principle in accordance with the two units. However, when limited to an example, an example in which [wt %] is selected is shown.

[0027] Next, in step S102, the item-specific information calculation unit 3 performs processing to calculate the item-specific information 13 based on the item-related information 12. The item-specific information 13 includes, for example, the discharge area S [cm 2 ], rated raw gas flow fr[m 3 / h(N)], maximum power density D[W / cm 2 ], maximum conditional design production efficiency emax [kWh / kg], etc. In addition, although an example of calculating the project-specific information 13 from the project-related information 12 is shown here, the project-specific information 13 may also be input in advance as the project-related information 12.

[0028] Discharge area S[cm 2 ] is calculated as shown in formula (1) based on the number of electrodes p of the ozone generator contained in the project related information 12, the electrode diameter r [cm] which is the inherent constant of the ozone generator, and the electrode discharge length L [cm].

[0029] [Mathematical formula 1] S[cm 2 ]=L[cm]×r[cm]×3.14×p (1)

[0030] In addition, when there are a plurality of electrode discharge lengths L [cm], this information may also be used as the item-related information 12 .

[0031] In addition, the rated raw gas flow rate fr (unit: [m 3 / h(N)] or [kg / h]) according to the rated ozone generation Gr [kg / h] and rated ozone concentration Cr (unit: [g / m 3 (N)] or [wt%]) can be calculated as in formula (2) or formula (3).

[0032] [Mathematical formula 2] fr[m 3 / h(N)]=Gr[kg / h] / Cr[g / m 3 (N)]×1000 (2) fr[kg / h]=Gr[kg / h] / Cr[wt%]×100 (3)

[0033] As shown in formula (3), for example, when the unit of the rated ozone concentration is selected as [wt%], the unit of the rated raw gas flow rate is considered to be [kg / h]. In this case, the unit of the raw gas flow meter on site is [kg / h], and the unit of the measured data is also [kg / h].

[0034] In addition, the maximum power density Dmax [W / cm 2 ] can be obtained by using the maximum discharge power Emax [kW] included in the project related information 12 and the discharge area S [cm 2 ], as calculated by formula (4).

[0035] [Mathematical formula 3] Dmax[W / cm 2 ]=Emax[kW]×1000 / S[cm 2 ] (4)

[0036] The maximum power density Dmax may be included in the project-related information 12 .

[0037] Figure 4This is a table showing the correspondence between the design generation efficiency, power density, ozone concentration, and water temperature of the degradation diagnosis device of Embodiment 1 of the present disclosure. The design generation efficiency is the ozone generation efficiency of the ozone generator 10, and generally varies depending on three parameters: ozone concentration, cold water inlet temperature, and power density. In the degradation diagnosis device 1 of the present disclosure, these characteristics are acquired in advance through type testing of the ozone generator 10, and the design generation efficiency for the three parameters of ozone concentration, cold water inlet temperature, and power density are saved in advance as a database. Figure 4 As an example, the above table shows that for a power density of 0.01 [W / cm 2 ], and the designed generation efficiency of the ozone generator 10 based on the ozone concentration at the time of the cold water inlet temperature. The horizontal direction (column direction) is the cold water inlet temperature, and the vertical direction (row direction) is the difference in ozone concentration. The generation efficiency under the conditions is recorded at each intersection (***). Figure 4 The description is omitted, but for example, 0.01 [W / cm 2 ] scale to prepare the same table, where the power density is 0.02[W / cm 2 ]、0.03[W / cm 2 ]... etc. until the maximum power density is achieved. Figure 4 The database shown can be used to calculate the design generation efficiency for any ozone concentration, cold water inlet temperature, and power density.

[0038] In addition, the scale of the database table may not be as follows Figure 4 As shown. Rated ozone concentration and rated cold water temperature are less than the decimal point, but due to Figure 4 It is also used for the measurement data 14 described later, so the ozone concentration and the cold water temperature can become the decimals. The finer the scale of the table, the more accurate it is, but because the database volume becomes huge, the scale of the table can also be made coarser, and the decimals are obtained by interpolating the previous and next values ​​in the table. Even when the scale of the power density is made coarser, after calculating the design generation efficiency at the concentration and the water temperature for the two power densities at the nearest upper and nearest lower positions, the design generation efficiency at the concentration and the water temperature can be calculated by performing linear interpolation or the like. In addition, since the generation efficiency hardly changes when the power density is below a certain value, the water temperature is below a certain value, and the concentration is below a certain value, the above-mentioned values ​​below a certain value can also be regarded as the same generation efficiency and the table can be omitted.

[0039] And, in Figure 4 In the table, the unit of ozone concentration is assumed to be [wt%], but the unit of ozone concentration is [g / m 3 (N)], it can be equipped with [g / m 3(N)], it is also possible to perform the table from [g / m 3 (N)] to [wt%], use the table expressed in [wt%], and then convert from [wt%] to [g / m 3 (N)] units.

[0040] The unit of design generation efficiency is [kWh / kg], which is defined as "the discharge power (power output of the power supply device) required to produce 1kg of ozone", so the smaller the value, the better the efficiency of ozone generation.

[0041] The maximum conditional design generation efficiency emax is the ozone generation efficiency obtained from the rated ozone concentration and the rated cooling water temperature included in the item-related information 12 and the maximum power density included in the item-specific information 13 .

[0042] Next, in step S103, the measuring unit 4 performs a process of acquiring measurement data 14 representing the operating status of the ozone generator 10. The measurement data 14 includes, for example, at least one of the discharge power E, the ozone concentration C, the ozone raw gas flow rate f, and the cold water temperature of the ozone generator 10. Here, the cold water temperature of the ozone generator 10 includes the inlet temperature and the outlet temperature of the ozone generator 10, which are the cold water inlet temperature ti and the cold water outlet temperature to, respectively. In the degradation diagnosis device 1 of the present embodiment, it is assumed that the discharge power E (the output power of the power supply device) [kW], the ozone concentration C (in units of [wt%] or [g / m 3 (N)]), raw gas flow rate f (unit: [wt%] or [m 3 / h(N)]), cold water inlet temperature ti[℃], etc. The measurement data 14 at this time may be the data of the minimum unit of sampling of the field measurement data, but it may also be separated by a suitable field interval, or the average value of several seconds, several minutes or about 1 hour is calculated, and each several seconds, several minutes or about 1 hour is regarded as a set of data. In addition, in the measurement data 14, the initial data of the object evaluation period is input, and the cycle is repeated until step S107 described later, and the last data of the object evaluation period is input. In addition, the evaluation object period, etc. can be predetermined by another input, etc.

[0043] Next, in step S104 , the diagnosis unit 5 obtains the measured ozone generation amount Gm and the measured generation efficiency em of the ozone generator 10 using the measurement data 14 .

[0044] The measured ozone generation amount Gm is a value calculated from the raw gas flow rate f and the ozone concentration C included in the measurement data 14, and is obtained as shown in equation (5) and equation (6). In addition, the measured generation efficiency em is a value calculated using the discharge power E included in the measurement data 14 and the ozone generation amount Gm calculated by equation (5) or equation (6), and is obtained as shown in equation (7).

[0045] [Formula 4] Gm[kg / h]=f[m 3 / h(N)]×C[g / m 3 (N)] / 1000 (5) Gm[kg / h]=f[kg / h]×C[wt%] / 100 (6) em[kWh / kg]=E[kW] / Gm[kg / h] (7)

[0046] In addition, formula (5) shows that the rated ozone concentration is in units of [g / m 3 (N)], and formula (6) represents the case where the rated ozone concentration unit is [wt %].

[0047] Next, in step S105, the diagnostic unit 5 obtains the measured power density Dm of the ozone generator 10 using the measured data 14. The measured power density Dm is a value calculated using the discharge power E included in the measured data 14 and the discharge area S included in the project-specific information 13, and is obtained as shown in equation (8).

[0048] [Mathematical formula 5] Dm[W / cm 2 ]=E[kw]×1000 / S[cm 2 ] (8)

[0049] In step S106, first, the measured condition design generation efficiency em' is calculated in the same way as the maximum condition design generation efficiency emax in step 102. At this time, the ozone concentration and the cold water inlet temperature are the values ​​of the measurement data 14, and the power density is the measured power density Dm calculated by formula (8). Figure 4 By referring to these values ​​and the corresponding values ​​in the database shown, the value of the measurement condition design generation efficiency em' can be obtained.

[0050] Next, in step S106, an estimated value of the maximum ozone generation amount at the rated ozone concentration and rated cold water inlet temperature (estimated maximum ozone generation amount) is obtained. The generation efficiency at this time is called the estimated generation efficiency. By using the measurement condition design generation efficiency em', the maximum condition design generation efficiency emax included in the project inherent information 13, and the measurement generation efficiency em obtained in step S104, the estimated generation efficiency e can be obtained as shown in formula (9).

[0051] [Mathematical formula 6] e[kWh / kg]=em[kWh / kg]×emax[kWh / kg] / em'[kWh / kg] (9)

[0052] Among them, the measurement condition design generation efficiency em′ refers to the design generation efficiency under the conditions of ozone concentration, cold water inlet temperature and power density measured at a certain moment on site. On the other hand, what we want to find out is the maximum ozone generation amount that can be produced by, for example, a degraded ozone generator at a certain moment under the conditions of rated ozone concentration and rated cold water (inlet) temperature. Generally speaking, the degradation of power supply devices is less, so if it is assumed that the maximum discharge power that can be produced remains unchanged for many years, it is only necessary to know the generation efficiency at the maximum power density, which is used as the maximum condition design generation efficiency emax.

[0053] In formula (9), the ratio of the maximum condition design generation efficiency emax to the measured condition design generation efficiency em′ represents the rate of change (multiplier) caused by the difference in ozone concentration, cold water inlet temperature, and power density (the difference between the measured values ​​of the three conditions at a certain moment on site and the constant operating conditions). By multiplying the ratio by the measured generation efficiency, the estimated generation efficiency of the ozone generator 10 under the desired condition (constant operating condition) can be obtained. The estimated maximum ozone generation amount G [kg / h] of the ozone generator 10 is obtained as shown in formula (10) by using the estimated generation efficiency e and the maximum discharge power Emax included in the project related information 12.

[0054] [Formula 7] G[kg / h]=Emax[kW] / e[Wh / kg] (10))

[0055] Next, in step S107, the diagnostic unit 5 calculates a performance evaluation index corresponding to the steady operation condition of the ozone generator 10 using the item-related information 12, the item-specific information 13, and the measurement data 14. In addition, in a case where the item-specific information 13 is input as the item-related information 12, in step S107, the diagnostic unit 5 calculates a performance evaluation index corresponding to the steady operation condition of the ozone generator 10 using the item-related information 12 and the measurement data 14. On the other hand, the diagnostic unit 5 may calculate the item-specific information 13 instead of inputting the item-specific information 13 as the item-related information 12. Here, as the performance evaluation index, a calculation method of a generation index α[%] calculated from the estimated maximum ozone generation value G and the rated ozone generation Gr included in the item-related information 12 is as shown in the following formula (11).

[0056] [Mathematical formula 8] α[%]=G[kg / h] / Gr[kg / h]×100 (11)

[0057] In addition, in this embodiment, an example of calculating the performance evaluation index as the generation index α is shown. The performance evaluation index may be an estimated value of the maximum ozone generation of the ozone generator, ozone generation efficiency, and unit power consumption, etc., and may be further standardized for use. Here, unit power consumption [kWh / kg] is defined as the ozone generation efficiency [kWh / kg] divided by "power efficiency [%] / 100", in other words, "the power input power required to produce 1 kg of ozone".

[0058] Next, in step S108, the diagnosis unit 5 determines whether the input and calculation up to the last data of the evaluation period as the object are completed. The evaluation period as the object is usually up to the last (latest) data, and the user can set it arbitrarily. The degradation diagnosis device 1 of the present disclosure repeats steps S103 to S107 for each data until the calculation of the evaluation period is completed.

[0059] Figure 5 FIG. 5 is a graph showing an example of the generation amount index and the discharge power of the degradation diagnosis device according to the first embodiment of the present disclosure. Figure 5 A graph with time (year, month, day) as the horizontal axis and the production index as the vertical axis is drawn, and outputted to a screen such as the output device 28. Figure 5 As shown, the discharge power E whose vertical axis is the measurement data 14 can also be output simultaneously. For example, if Figure 5 In the current state (the rightmost point of the curve), the generation index is about 95%, which is lower than 100%. Therefore, it can be seen that under the conditions of rated water temperature and rated concentration, even if the maximum power is input, the rated ozone generation cannot be generated. Assuming that the rated ozone generation is expected to be operated in the near future, it is difficult to operate the ozone generator 10 at the rated ozone generation, and the ozone generator 10 needs to be maintained. By calculating in this way, the deterioration of the ozone generator 10 can be diagnosed by the performance evaluation index.

[0060] As described above, the degradation diagnosis device 1 of the present disclosure includes an item-related information acquisition unit 2, a measurement unit 4, and a diagnosis unit 5. Here, the degradation diagnosis device 1 of the present embodiment shows an example of having an item-specific information calculation unit 3, but the function of the item-specific information calculation unit 3 can also be included in the item-related information acquisition unit 2. In addition, the degradation diagnosis system 100 includes an ozone generator 10 and a degradation diagnosis device 1. At this time, the degradation diagnosis system 100 may include a monitoring and control device (not shown) for monitoring the operating status of the ozone generator 10 and controlling the ozone generator 10. Alternatively, the degradation diagnosis device 1 or the degradation diagnosis system 100 can be assembled into a monitoring and control device for monitoring and controlling the entire ozone system, or can be assembled into a monitoring and control system for monitoring and controlling the entire water treatment plant, factory, etc. On the other hand, the degradation diagnosis device 1 can be located far away from the ozone generator 10, and the exchange of the measurement data 14 of the ozone generator 10 in this case can be online or offline.

[0061] The degradation diagnosis device 1, degradation diagnosis system 100, and degradation diagnosis method of the present disclosure use the item association information 12 and the measurement data 14 to calculate a performance evaluation index for evaluating the performance of the ozone generator 10 under the current operating condition from the perspective of how it will become when operating under constant operating conditions, and diagnose the degradation condition of the ozone generator 10 through the performance evaluation index. Therefore, while considering the influence caused by the change in the operating condition of the ozone generator, degradation diagnosis can be performed based on a constant index from the past to the present.

[0062] In addition, as described above, in the operation with constant concentration and variable raw gas flow rate, by calculating the performance evaluation index when operating under constant operating conditions based on the consideration of the operating method, even when the operating conditions are not limited to the rated value like in field operation but are constantly changing, the performance of the ozone generator can be compared under the same conditions, and its changes over the years become clear at a glance. As a result, it is very easy to judge the maintenance period.

[0063] Furthermore, in operation with constant concentration and variable raw gas flow, the rated cold water temperature is used as a constant operating condition in addition to the rated ozone concentration. Therefore, for example, even if the amount of ozone generation increases due to low water temperature on site and high ozone generation efficiency, the performance at a higher rated water temperature can be estimated, which has a more practical effect.

[0064] In addition, when calculating the ozone generation efficiency, since two or more of the three parameters affecting the ozone generation efficiency, namely power density, ozone concentration, and cold water temperature (three in the above embodiment), are used to calculate the ozone generation efficiency, it has the effect of being able to perform a more accurate evaluation.

[0065] In addition, in general, in the initial design, the ozone generator is made to produce not only the rated ozone production, but also to produce an ozone production exceeding the rated ozone production when the maximum power is input. In this embodiment, since the ozone production at the maximum power density based on the maximum discharge power is used as an indicator rather than the rated power, it is possible to determine how the performance has changed, including the so-called surplus power that can reach an ozone production exceeding the rated ozone production initially maintained, and has the effect of being able to perform practical evaluation in actual use. In addition, in Figure 5 This is the reason why the production index exceeds 100% in the initial stage (the point on the left end of the graph).

[0066] In addition, in the present embodiment, when diagnosing the degradation of the ozone generator 10, the index of the production amount, which is an index obtained by normalizing the estimated maximum ozone production amount with the rated ozone production amount, is used, but the estimated maximum ozone production amount before normalization may also be used. In addition, since the maximum discharge power [kW] is fixed for each project, it may also be the estimated production efficiency used to calculate the estimated maximum ozone production amount. Furthermore, since the power supply efficiency when the maximum discharge power is output is fixed and uniquely determined, the estimated unit power consumption may also be obtained and used using the estimated production efficiency and the power supply efficiency, and even when these indicators are used, the same effect as the production amount index can be achieved.

[0067] In addition, the raw gas flow rate and the ozone-containing gas flow rate are the same when the unit is kg / h, but in m 3 In this embodiment, for simplicity, the raw gas flow rate is used in the calculation of the ozone generation amount, but more accurately, the ozone generation amount is calculated by the ozone-containing gas flow rate [m 3 / h(N)] and ozone concentration [g / m 3 (N)] can also be obtained from the raw gas flow rate [m 3 / h(N)] is converted to ozone-containing gas flow rate [m 3 / h(N)] and calculate the performance evaluation index.

[0068] Implementation method 2. In the second embodiment, the same reference numerals are used for the same components as those in the first embodiment of the present disclosure, and descriptions of the same or corresponding parts are omitted. Hereinafter, a degradation diagnosis device 1b and a degradation diagnosis system 100b according to the second embodiment will be described with reference to the drawings.

[0069] Figure 6 FIG. 2 is a schematic diagram showing the structure of a degradation diagnosis device according to Embodiment 2 of the present disclosure. Figure 6As shown, degradation diagnosis device 1b has determination unit 6 in addition to the configuration of degradation diagnosis device 1. Hereinafter, description of degradation diagnosis device 1b overlapping with Embodiment 1 will be omitted, and description will be mainly focused on different parts.

[0070] The determination unit 6 determines the performance evaluation index calculated by the diagnosis unit 5. Figure 5 The maintenance period of the ozone generator 10 is determined by using the value of the performance evaluation index, such as a graph of the ozone generator 10. As a method for determining the maintenance period of the ozone generator 10 using the value of the generation index α, for example, Figure 5 As shown, there is a method in which the judgment unit 6 notifies that maintenance is required when it is diagnosed that the rated ozone generation amount cannot be generated based on the value of the generation amount index α. In addition, at this time, by setting a threshold value in the performance evaluation index to judge whether maintenance is required, the judgment of the operator can be made easier, and the judgment of the judgment unit 6 can be automated. Here, the maintenance work in the present disclosure refers to opening inspection, opening cleaning, component replacement and repair, etc. that occur within a certain period.

[0071] In addition, the determination unit 6 may also have a function of determining the maintenance period of the ozone generator 10 using the load level and the performance evaluation index as information indicating the load status of the ozone generator 10. The load level may take into account the discharge power E, the power supply device input power Ei, the output command value of the power supply device, etc. When viewed from the power supply device, the discharge power E equivalent to the output power, the power supply device input power Ei [kW] and the power supply efficiency er [%], the following relationship (12) holds.

[0072] [Mathematical formula 9] er[%]=E[kW] / Ei [kW]×100 (12)

[0073] According to formula (12), for example, when the input power is obtained as the value of the measurement data 14, the input power can be set to the load level. The larger the load level, the higher the load, and the smaller the load level, the lower the load. By simultaneously displaying such an indicator representing the load, although not illustrated, it is possible to find that, for example, the performance declines faster (the decline in the production index) during a period of continuous high load than during a period of continuous low load. Therefore, by observing the annual changes in performance decline including load, it is also possible to make judgments such as "since high load is expected in the future, maintenance is required in advance even if the performance decline threshold has not been reached at the current moment" or "since low load is expected in the future, although the performance decline threshold has been reached, immediate maintenance is not required". For example, a person only needs to observe the curve graph represented by the diagnostic unit 5 ( Figure 5Such a high-level judgment becomes easy if AI (artificial intelligence) is used, and such a high-level judgment can be automatically performed in the judgment unit 6. In addition, if the value obtained by accumulating the load level is used, the past usage status that is closer to the actual status can be grasped compared with the simple cumulative value of the operating time.

[0074] Figure 7 1 is a graph showing an example of the generation index and discharge power of the degradation diagnosis device according to the second embodiment of the present disclosure. The determination unit 6 predicts the future performance evaluation index of the ozone generator 10 based on the value corresponding to the operating status of the performance evaluation index, and determines the maintenance period of the ozone generator 10. In this embodiment, as an example of the performance evaluation index, the case of predicting the generation index is described. For example, Figure 7 As shown, the judgment unit 6 first Figure 5 Add an approximate curve to the graph showing the annual change of the production index in the figure. The best approximate curve with the smallest error is selected from linear approximation, quadratic function, cubic function, etc. Here, the cubic function is selected. Figure 7 In the example, the approximate curve obtained by extending the trend of the generation index so far is used to predict the generation index in the future. Therefore, it is possible to make a future prediction assuming that the performance degradation trend so far continues. Therefore, for example, when the next maintenance period is determined, by extending the approximate curve to that period, it is possible to predict the degree of performance degradation by the next maintenance period.

[0075] In order to accurately set the approximate curve, for example, during periods when the operation is stopped, in other words, during periods when the production index cannot be calculated, the value is not set to zero but is set to blank. Figure 7 In the case where, for example, the graph shows the entire period from the start of operation, the setting of the approximate curve is also approximated based on the entire period of the graph. However, the degradation trend is not limited to the same during the entire period. For example, if the performance does not decrease at all for about 2 years from the start of operation (the point on the left end of the graph), and a performance degradation trend is found after 2 years, when setting the approximate curve, only the second year and beyond is used as the object, which can more accurately predict the future. If a person observes the graph to make a judgment, it is easy to make such a judgment. If it is done automatically by the system, such a judgment can be made using AI (artificial intelligence) or the like.

[0076] The degradation diagnosis device 1b, degradation diagnosis system 100b and degradation diagnosis method of this embodiment are the same as those of Embodiment 1, and use the item-related information 12 and the measurement data 14 to calculate the performance evaluation index indicating the operating status corresponding to the constant operating condition of the ozone generator 10, and diagnose the degradation status of the ozone generator 10 based on the performance evaluation index. Therefore, while considering the influence caused by the change of the operating status of the ozone generator, degradation diagnosis can be performed based on the constant index from the past to the present.

[0077] Furthermore, in the present embodiment, the determination unit 6 determines the maintenance period of the ozone generator 10 by using the value of the performance evaluation index, thereby being able to determine an accurate maintenance period based on the performance degradation as a determined trend without being affected by abnormal data and temporary changes. In addition, in the determination of the maintenance period by the determination unit 6, performance evaluation indices such as the generation index, the estimated maximum ozone generation amount, the estimated generation efficiency, and the estimated unit power consumption may also be used, and the maintenance period may also be determined by setting thresholds for them.

[0078] Furthermore, in the present embodiment, the determination unit 6 has a function of determining the maintenance period of the ozone generator 10 using the performance evaluation index and the load level, which is information indicating the load condition of the ozone generator 10. This has the effect of enabling a determination that is more in line with the actual state.

[0079] Furthermore, in the present embodiment, the judgment unit 6 predicts the future performance evaluation index of the ozone generator 10 based on the value corresponding to the operating status of the performance evaluation index and judges the maintenance period of the ozone generator 10, thereby having the effect of being able to judge the future degradation status and the maintenance period required, etc.

[0080] Furthermore, in the diagnosis unit 5, the performance evaluation index of the ozone generator 10 and the information indicating the load condition of the ozone generator 10, namely the load level, can be used to diagnose the degradation of the ozone generator 10. In this case, the effect of being able to make a judgment more in line with the actual state can also be achieved.

[0081] Implementation method 3. In the third embodiment, the same reference numerals are used for the same components as those in the first embodiment of the present disclosure, and descriptions of the same or corresponding parts are omitted. Hereinafter, a degradation diagnosis device 1c and a degradation diagnosis system 100c according to the third embodiment will be described with reference to the drawings.

[0082] Figure 8 This is a flowchart showing a degradation diagnosis method of the degradation diagnosis device according to Embodiment 3 of the present disclosure. Figure 8 Relative to Figure 3The content of step S301 is different from that of step S302, but the other contents are the same, so the same reference numerals are given. First, in step S301, the measurement data 14 is acquired in the measurement unit 4. At this time, the measurement data 14 includes the input power Ei [kW] of the power supply device, the ozone concentration C ([wt%] or [g / m 3 (N)]), cold water outlet temperature to[℃].

[0083] Next, in step S302, the measurement data 14 obtained in step S301 is transformed. At this time, the parameters to be converted are the input power and the cold water outlet temperature. Although it is the input power of the power supply device, this value can be converted into the discharge power using formula (12). Here, the power supply efficiency can also be maintained as a database in the form of a function of the power supply power relative to the input power within the S / W, and the database can be in the form of a mathematical formula or a table.

[0084] Here, the input measurement data is the input power of the power supply device, but the DC current I [A] and DC voltage V [V] of the power supply device can also be input as measurement data and expressed as ozone transformer efficiency β [%] as in formula (13).

[0085] [Formula 10] E[kW]=I[A]×V[V]×β[%] (13)

[0086] The ozone transformer efficiency β in the formula (13) is the same as the power supply efficiency and the like, and may be stored in the S / W as a database, for example.

[0087] In addition, in step S302, if the cold water outlet temperature t o , the discharge power E obtained by formula (12) or formula (13), and the rated cold water flow rate fw are used to obtain the cold water inlet temperature ti, and then, for example, it becomes as shown in formula (14). Here, "0.9" is the ratio of the power that does not contribute to ozone generation and is dissipated in the discharge power, such as the value when the air raw material is used. In addition, usually, the cold water flow rate is constant during operation, so the rated cold water flow rate fw is used in formula (14), but in a system that measures the cold water flow rate, the measured value of the cold water flow rate can also be used.

[0088] [Mathematical formula 11] ti[℃]=to[℃]-E[kW]×0.9×860 / fw[L / min] / 60 (14)

[0089] By using the equations (12) and (14), even when the measurement data 14 is different from that in the first embodiment, it is possible to perform the deterioration diagnosis of the ozone generator 10.

[0090] The degradation diagnosis device 1c, degradation diagnosis system 100c and degradation diagnosis method of this embodiment are the same as those of embodiment 1, and use the project association information 12 and measurement data 14 to calculate the performance evaluation index corresponding to the constant operating condition of the ozone generator 10, and diagnose the degradation condition of the ozone generator 10 through the performance evaluation index.

[0091] In addition, in the present embodiment, the measured data 14 includes the cold water outlet temperature of the ozone generator 10, and the cold water outlet temperature is used to calculate the cold water inlet temperature and thus calculate the performance evaluation index. In the field operation of a general ozone generator, the cold water outlet temperature of the ozone generator is used to monitor abnormalities, so the cold water outlet temperature is often measured, and at the same time, the cold water inlet temperature is often not measured. Therefore, by using the cold water outlet temperature, there is an effect that the previously measured data can be easily measured or can be used.

[0092] In addition, in the present embodiment, the measurement data 14 includes the input power of the power supply device of the ozone generator 10, and the input power is used to calculate the discharge power and thus the performance evaluation index. Alternatively, the measurement data 14 may include the DC current and DC voltage of the power supply device of the ozone generator 10, and the DC current and DC voltage may be used to calculate the discharge power and thus the performance evaluation index. The discharge power E is difficult to measure at high voltage and high frequency, so it is sometimes not measured as measurement data, and on the other hand, the input power of the power supply device or the DC current [A] and DC voltage [V] of the power supply device are sometimes measured. Therefore, according to the present embodiment, there is an effect that the originally measured data can be easily measured or can be used.

[0093] Implementation method 4. In the fourth embodiment, the same reference numerals are used for the same components as those in the first embodiment of the present disclosure, and descriptions of the same or corresponding parts are omitted. Hereinafter, a degradation diagnosis device 1d and a degradation diagnosis system 100d according to the fourth embodiment will be described with reference to the drawings.

[0094] Fig. 9 This is a flowchart showing a degradation diagnosis method of the degradation diagnosis device according to the fourth embodiment of the present disclosure. Fig. 9 Relative to Figure 3 The content of step S401 is different from that of step S402, but the other contents are the same, so the same reference numerals are given. In this embodiment, the control method of the ozone generator is based on the premise that the raw gas flow rate is constant and the concentration varies. First, in step S401, no Figure 3The maximum condition design generation efficiency emax in step S102 is calculated. This is because the concentration under the maximum condition cannot be uniquely determined due to changes in concentration. The use of constant raw gas flow rate / concentration change control is more common in domestic projects. As the concentration unit, g / m 3 (N) is often present, so in this embodiment, the concentration unit is g / m 3 (N) is an example, but it is not limited to this. Except that the maximum condition design efficiency emax is not calculated, it is the same as Figure 3 The same as step S102.

[0095] The description of the same parts as those in Embodiment 1 is omitted, and the calculation method of the estimated maximum ozone generation amount in step S402 is described. In Embodiment 1, since the concentration is constant / the raw gas flow rate varies, the ozone concentration (rated ozone concentration) when the estimated maximum ozone generation amount is reached can be predetermined. In contrast, in this embodiment, since the raw gas flow rate is constant / the concentration varies, it is unknown to what extent the ozone concentration will increase when the estimated maximum ozone generation amount is reached. Since the generation efficiency varies with its concentration, it is necessary to solve it through repeated calculations.

[0096] Fig.10 This is a flowchart showing a subroutine of a degradation diagnosis method of the degradation diagnosis device according to the fourth embodiment of the present disclosure. Fig.10 The sub-process recorded as step S402 first calculates the measurement condition design generation efficiency em' in step S411. The ozone concentration, the cold water inlet temperature and the discharge power are obtained from the measurement data 14, and the discharge power E is converted into the measurement power density Dm using formula (8), and then, for example, with Figure 4 Similarly, but using ozone concentration in g / m 3 The design generation efficiency is calculated from a table showing the unit of (N), and this is used as the measurement condition design generation efficiency em' [kWh / kg].

[0097] Next, in step S412, an initial value of ozone concentration is set. The ozone concentration at this time is a pre-assumed value, namely, an assumed ozone concentration C' [g / m 3 (N)], for example, it can be set to start from close to zero or to about 1 / 2 of the measured ozone concentration. This is because, assuming that a high concentration is measured when the on-site discharge power is high and the on-site water temperature is low, even if the ozone concentration at the rated water temperature is assumed to be lower than the measured value, it is generally not considered that the maximum concentration is estimated to be less than 1 / 2 of the measured value.

[0098] Next, in step S413, the design generation efficiency e1 under the assumed concentration is calculated. The design generation efficiency at this time is calculated using the assumed ozone concentration, the rated cold water temperature of the item-related information 12, and the maximum power density of the item-specific information 13. Although this is the method for finding the design generation efficiency e1 under the assumed concentration, for example, Figure 4 Similarly, ozone concentration is expressed in g / m 3 (N) may be used as a table showing the unit. This corresponds to the maximum conditional design generation efficiency emax which is not obtained in step S401, and therefore, only the ozone concentration becomes a variable in the maximum conditional design generation efficiency emax.

[0099] Next, in step S414, the assumed discharge power E' [kW] is calculated using the assumed values ​​up to step S413. When the three parameters that determine the generation efficiency change from the conditions of step S411 (all measured data) to the conditions of step S413 (ozone concentration is assumed, water temperature is rated, and power density is maximum), the assumed generation efficiency e' [kWh / kg], which is the generation efficiency assumed by the measured generation efficiency em calculated in step S104 using the actually measured parameters, is calculated using the ratio of the design generation efficiency e1 [kWh / kg] under the assumed concentration to the design generation efficiency em' under the measured conditions, as shown in formula (15).

[0100] [Mathematical formula 12] e'[kWh / kg]=em[kWh / kg]×e1[kWh / kg] / em'[kWh / kg] (15)

[0101] In addition, if the rated raw gas flow rate fr and the assumed ozone concentration C' are used, the assumed ozone generation amount G' [kg / h] is expressed as in equation (16).

[0102] [Mathematical formula 13] G'[kg / h]=fr[m 3 / h(N)]×C'[g / m 3 (N)] / 1000 (16)

[0103] When the assumed discharge power E' [kW] is calculated using the assumed generation efficiency e' obtained in equation (15) and the assumed ozone generation amount G' obtained in equation (16), the result is as shown in equation (17).

[0104] [Formula 14] E'[kW]=G'[kg / h]×e'[kWh / kg] (17)

[0105] The assumed concentration and the assumed ozone generation amount when the assumed discharge power is consistent with the maximum discharge power Emax of the project related information 12 are the estimated maximum concentration and the estimated maximum ozone generation amount, respectively. Next, in step S416, the ozone concentration is gradually increased by 0.1 [g / m 3 (N)], and repeat the calculations from step S413 to step S414. If step S415 is "yes", the estimated maximum concentration and the estimated maximum ozone generation amount are obtained in step S417. Then, the process returns to step 402, and the same calculations as in embodiment 1 or 2 are performed thereafter.

[0106] The degradation diagnosis device 1d, degradation diagnosis system 100d and degradation diagnosis method of this embodiment are the same as those of embodiment 1, and use the project association information 12 and measurement data 14 to calculate the performance evaluation index corresponding to the constant operating condition of the ozone generator 10, and diagnose the degradation condition of the ozone generator 10 through the performance evaluation index.

[0107] In addition, in the present embodiment that takes into account the operation of constant raw gas flow rate / variable concentration, under constant operating conditions, the maximum ozone concentration is calculated, and the performance evaluation index is obtained using the ozone concentration. Therefore, the performance evaluation index under constant operating conditions can be introduced, and even when the operating conditions are not limited to the rated value but are constantly changing, as in on-site operations, the performance of the ozone generator can be compared under the same conditions. Changes over the years become clear at a glance, so as a result, it is easy to determine the maintenance period. In particular, in the case of constant raw gas flow rate / variable concentration, since the ozone concentration that affects the generation efficiency changes, although the maximum concentration is difficult to determine uniquely, by assuming the initial concentration and calculating the maximum concentration, the maximum ozone generation amount when the raw gas flow rate is constant / variable concentration operation can be obtained.

[0108] Furthermore, in the operation where the raw gas flow is constant / the concentration varies, in addition to the rated raw gas flow, the rated cold water temperature is used as a constant operating condition. Therefore, for example, even if the water temperature on site is low and the ozone generation efficiency is high, thereby increasing the amount of ozone generated, the performance at the rated higher water temperature can be estimated, which has a more practical effect.

[0109] In the above embodiment, for example, in equation (16), for simplicity, the raw gas flow rate is used in the calculation of the ozone generation amount. However, since the unit is m 3 / h(N), so for more accuracy, the ozone-containing gas flow rate is used instead of the raw gas flow rate. Although the rated ozone-containing gas flow rate can be used directly, it is preferred to convert the rated raw gas flow rate and the assumed ozone concentration into the ozone-containing gas flow rate by a known method.

[0110] In addition, in the above embodiment, it is assumed that the raw gas flow rate is constant / the concentration varies, and the raw gas flow rate is constant as the rated value as a premise. However, in reality, there are cases where the raw gas flow rate deviates from the rated value unexpectedly after many years. In this case, the measured value of the raw gas flow rate can be used to correct the measured value of the ozone concentration. The details are not repeated here. Figure 4 In the table shown, using the table of power density obtained from the measured value, it is possible to calculate how the ozone concentration changes when the raw gas flow rate changes under the same power density. Therefore, for example, when the ozone concentration increases because the measured value of the raw gas flow rate is lower than the rated value, it is possible to make a correction such as how much the ozone concentration will become when the raw gas flow rate is increased to the rated value.

[0111] In addition, the deterioration of the ozone generator 10 in the present disclosure is not limited to being irreversible, and includes a case where the deterioration can be restored by maintenance such as cleaning or component replacement.

[0112] In addition, the present disclosure basically focuses on the annual changes in the performance evaluation index. However, if it is not specifically stated, the concept of time is added here, and the accumulated time during the operation period will also have an impact.

[0113] Furthermore, generally, diagnosis often includes judgment, but in the present disclosure, diagnosis is separated from judgment, and data processing, data output, etc. used for judgment are used.

[0114] In addition, the structure shown in the above-mentioned embodiment is an example of the content of this disclosure, and it can also be combined with other well-known technologies. In addition, a part of the structure can also be omitted or changed within the scope of not departing from the gist of this disclosure.

[0115] Hereinafter, each aspect of the present disclosure will be collectively described as a supplementary note. <Additional Note 1> A degradation diagnosis device includes: an item-related information acquisition unit, which acquires item-related information including information on a constant operating condition of an ozone generator; a measuring unit, which acquires measurement data indicating an operating condition of the ozone generator; and a diagnosis unit, which calculates a performance evaluation index corresponding to the constant operating condition and indicating the performance of the ozone generator under the operating condition based on the item-related information and the measurement data, and diagnoses the degradation condition of the ozone generator. <Note 2> The degradation diagnosis device as described in Supplementary Note 1 is characterized in that the performance evaluation index includes at least one of an estimated value of a maximum ozone generation amount of the ozone generator, an ozone generation efficiency, and a specific power consumption. <Addendum 3> The degradation diagnosis device according to Supplementary Note 1 or 2 is characterized in that the ozone generation efficiency used to calculate the performance evaluation index is obtained using two or more of power density, ozone concentration, and cold water temperature. <Note 4> The degradation diagnosis device as described in any one of Supplementary Notes 1 to 3 is characterized in that the constant operating conditions include a rated water temperature and a rated ozone concentration. <Addendum 5> The degradation diagnosis device as described in any one of Supplementary Notes 1 to 4 is characterized in that the constant operating conditions include a rated water temperature and a rated raw gas flow rate. <Addendum 6> The degradation diagnosis device as described in any one of Supplementary Notes 1 to 5 is characterized in that the constant operating condition includes a condition that makes the discharge power of the ozone generator reach a maximum. <Addendum 7> The degradation diagnosis device as described in any one of Supplementary Notes 1 to 6 is characterized in that the diagnosis unit outputs a load level and the performance evaluation index as information indicating a load condition of the ozone generator. <Addendum 8> The degradation diagnosis device as described in any one of Supplementary Notes 1 to 7 is characterized by comprising a determination unit that determines a maintenance period of the ozone generator using a value of the performance evaluation index. <Addendum 9> The degradation diagnosis device as described in Supplementary Note 8 is characterized in that the judgment unit predicts the future performance evaluation index of the ozone generator based on a value corresponding to the operating status of the performance evaluation index and judges the maintenance period of the ozone generator. <Addendum 10> The degradation diagnosis device according to Supplementary Note 8 is characterized in that the determination unit determines the maintenance period of the ozone generator using the performance evaluation index and a load level which is information indicating a load condition of the ozone generator. <Addendum 11> The degradation diagnosis device as described in any one of Annexes 1 to 10 is characterized in that the measurement data includes a cold water outlet temperature of the ozone generator, and the cold water outlet temperature is used to calculate the performance evaluation index. <Addendum 12> The degradation diagnosis device as described in any one of Supplementary Notes 1 to 11 is characterized in that the measurement data includes input power of a power supply device of the ozone generator, and the performance evaluation index is calculated using the input power. <Addendum 13> A degradation diagnosis device as described in any one of Notes 1 to 12, characterized in that the measurement data includes a DC current and a DC voltage of a power supply device of the ozone generator, and the diagnosis unit uses the DC current and the DC voltage to calculate the performance evaluation index. <Addendum 14> The degradation diagnosis device as described in any one of Supplementary Notes 3 to 13 is characterized in that the performance evaluation index is obtained by using a maximum ozone concentration calculated based on the steady operating condition. <Addendum 15> A degradation diagnosis system includes: an ozone generator; an item-related information acquisition unit, which acquires item-related information including information on a constant operating condition of the ozone generator; a measuring unit, which acquires measurement data indicating an operating condition of the ozone generator; and a diagnosis unit, which calculates a performance evaluation index corresponding to the constant operating condition and indicating the performance of the ozone generator under the operating condition based on the item-related information and the measurement data, and diagnoses the degradation condition of the ozone generator. <Addendum 16> The degradation diagnosis system as described in Supplementary Note 15 includes a monitoring control device for monitoring the operating condition of the ozone generator and controlling the ozone generator. <Addendum 17> A degradation diagnosis method includes: a step of acquiring item-related information including information on a constant operating condition of an ozone generator; a step of acquiring measurement data indicating the operating condition of the ozone generator; and a step of calculating, based on the item-related information and the measurement data, a performance evaluation index corresponding to the constant operating condition and indicating the performance of the ozone generator under the operating condition, and diagnosing the degradation condition of the ozone generator. Description of symbols

[0116] 1 1b 1c 1d Deterioration diagnosis device, 2 Item-related information acquisition unit, 3 Item-specific information calculation unit, 4 Measurement unit, 5 Diagnosis unit, 6 Judgment unit, 10 Ozone generator, 12 Item-related information, 13 Item-specific information, 14 Measurement data, Performance evaluation index 15 21 Input device, 22 Computer, 23 CPU, 24 Main storage device, 25 Auxiliary storage device, 26 Network, 27 External storage device, 28 Output device, 100 100b 100c 100d Deterioration diagnosis system.

Claims

1. A degradation diagnosis device, comprising: a project-related information acquisition unit that acquires project-related information including information on a constant operating condition of the ozone generator; a measuring unit that acquires measurement data representing an operating condition of the ozone generator; and A diagnostic unit calculates a performance evaluation index corresponding to the constant operating condition and indicating the performance of the ozone generator under the operating condition based on the item-related information and the measurement data, and diagnoses a deterioration condition of the ozone generator.

2. The degradation diagnosis device according to claim 1, wherein: The performance evaluation index includes at least one of an estimated value of a maximum ozone generation amount, ozone generation efficiency, and specific power consumption of the ozone generator.

3. The degradation diagnosis device according to claim 1 or 2, characterized in that: The ozone generation efficiency for calculating the performance evaluation index is obtained using two or more of the power density, the ozone concentration, and the cold water temperature.

4. The degradation diagnosis device according to claim 1 or 2, characterized in that: The constant operating conditions include rated water temperature and rated ozone concentration.

5. The degradation diagnosis device according to claim 1 or 2, characterized in that: The constant operating conditions include rated water temperature and rated raw gas flow rate.

6. The degradation diagnosis device according to claim 1 or 2, characterized in that: The constant operation condition includes a condition in which the discharge power of the ozone generator reaches a maximum.

7. The degradation diagnosis device according to claim 1 or 2, characterized in that: The diagnosis unit outputs a load level and the performance evaluation index as information indicating a load condition of the ozone generator.

8. The degradation diagnosis device according to claim 1 or 2, characterized in that: A determination unit is included that determines a maintenance period of the ozone generator using the value of the performance evaluation index.

9. The degradation diagnosis device according to claim 8, wherein: The determination unit predicts the future performance evaluation index of the ozone generator based on a value corresponding to the operating status of the performance evaluation index, and determines the maintenance period of the ozone generator.

10. The degradation diagnosis device according to claim 8, wherein: The determination unit determines the maintenance period of the ozone generator using the performance evaluation index and a load level that is information indicating a load condition of the ozone generator.

11. The degradation diagnosis device according to claim 1 or 2, characterized in that: The measurement data includes a cold water outlet temperature of the ozone generator, and the cold water outlet temperature is used to calculate the performance evaluation index.

12. The degradation diagnosis device according to claim 1 or 2, characterized in that: The measurement data includes input power of a power supply device of the ozone generator, and the performance evaluation index is calculated using the input power.

13. The degradation diagnosis device according to claim 12, wherein: The measurement data includes a DC current and a DC voltage of the power supply device of the ozone generator, and the diagnostic unit calculates the performance evaluation index using the DC current and the DC voltage.

14. The degradation diagnosis device according to claim 3, wherein: The performance evaluation index is obtained by using the maximum ozone concentration calculated based on the constant operating condition.

15. A degradation diagnosis system comprising: Ozone generator; an item-related information acquisition unit, which acquires item-related information including information on a constant operating condition of the ozone generator; a measuring unit that acquires measurement data representing an operating condition of the ozone generator; as well as A diagnostic unit calculates a performance evaluation index corresponding to the constant operating condition and indicating the performance of the ozone generator under the operating condition based on the item-related information and the measurement data, and diagnoses a deterioration condition of the ozone generator.

16. The degradation diagnosis system according to claim 15, wherein: A monitoring and control device is included, which is used to monitor the operating status of the ozone generator and control the ozone generator.

17. A degradation diagnosis method, comprising: The step of obtaining project-related information including information on constant operating conditions of the ozone generator; The step of acquiring measurement data indicative of the operating condition of the ozone generator; as well as A step of calculating a performance evaluation index corresponding to the constant operating condition and indicating the performance of the ozone generator under the operating condition based on the item-related information and the measurement data, and diagnosing a degradation condition of the ozone generator.

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