JP2009178713A - Control system for water treatment facility - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a control system for water treatment facilities which can continuously support the setting of maintenance and inspection frequency for equipment of a membrane treatment facility in order to supply tap water or regenerated water of stable quality and quantity by water treatment using a membrane. <P>SOLUTION: A diagnostic means 220D diagnoses operation abnormalities for the membrane treatment facility using measured values obtained by a break detection device S20 and a transmembrane pressure difference gauge S10, and using management criteria values stored in a management criteria database 250. A risk priority number evaluation means 220B calculates the risk priority number for the equipment using the diagnosis results by the diagnostic means 220D and using the information from the management criteria database 250. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a management system for water treatment facilities such as water purification facilities and reclaimed water production facilities, and in particular, evaluates risks to water quality and water volume due to malfunctions of equipment and equipment, and maintenance and inspection methods and inspections for each device based on the risks. The present invention relates to a management system that supports frequency setting.

  In recent years, there has been a demand for safe and reliable drinking water supply, and a stable supply of high-quality water is becoming increasingly important in water purification plants. In addition, technological development of water purification membranes is progressing, and introduction of membrane treatment that is easy to manage has begun in place of conventional coagulation sedimentation process even in large-scale treatment plants. On the other hand, the use of sewage reclaimed water is advancing as a technology to cope with drought in recent years, and water quality standards for each application have been established.

  Water quality management to improve the safety and security of drinking water and reclaimed water includes not only optimizing operating conditions, but also sufficient equipment management to prevent water quality deterioration and supply water volume reduction due to equipment failure. is important. In particular, in water purification membrane treatment, equipment management is very important because the water quality and the amount of water are highly dependent on equipment deterioration and management status.

  A method of setting the maintenance frequency and contents of equipment in various plants has been proposed. For maintenance diagnosis of various products, the equipment shipped to the specified shipping destination is the population, and reliability analysis within the population is performed based on equipment maintenance information such as equipment identification information and failure occurrence time information. A device that evaluates the maintenance time is known (for example, see Patent Document 1).

Further, in a nuclear power plant, there is known one that supports setting of a maintenance inspection method and timing of equipment using the degree of influence and occurrence probability due to failure (for example, see Patent Document 2). In this method, a model constructed using past acquired data is used to predict an arbitrary state quantity and evaluate a probability distribution.

JP 2005-327201 A JP 2004-240642 A

  Here, in the thing of patent document 1, it is possible to set the maintenance time regarding the set type | mold apparatus or component, and to improve the reliability as a product. However, in tap water quality management, when it is desired to preferentially perform maintenance on devices that have a large influence on water quality and water volume, there is a problem that the method of Patent Document 1 cannot prioritize the devices to be maintained.

  On the other hand, in Patent Document 2, the priority order can be set using the degree of influence and the occurrence probability. However, Patent Document 2 relates to a nuclear power plant, and in water treatment that is the subject of the present invention, accurate model calculation is difficult due to fluctuations in raw water quality and restrictions on items that can be continuously monitored. In addition, the degree of influence needs to be a method that considers many water quality management items. Furthermore, for water supply, it is necessary to periodically improve the water quality management system in response to fluctuations in the quality of raw water and renewal of facilities, but no continuous means of operation is described.

  An object of the present invention is to provide a water treatment facility that can continuously support maintenance and inspection frequency setting of equipment of a membrane treatment facility in order to supply tap water or reclaimed water having a stable quality and quantity by water treatment using a membrane. It is to provide a management system.

(1) In order to achieve the above object, the present invention is a management system for a water treatment facility that supports the maintenance and management of a water purification membrane treatment facility that treats raw water, and stores information related to process measurement of the water treatment facility. To store information on measures to be presented when the measured value deviates from the range of the management reference value stored in the management reference database. Improvement measure database, diagnostic means for diagnosing abnormalities in the operating state of the membrane treatment facility using the measurement values and the management reference values stored in the management reference database, the diagnosis results, occurrence date and time, and failure of the diagnosis means A traceability database that records the contents, maintenance data that records multiple water quality items related to failures, the extent of their effects, and the degree of detection. Recorded in the traceability database, the degree of influence on the deterioration of a plurality of water quality items from the information in the management standard database and the maintenance inspection database and the risk value of the plurality of water quality items. A risk priority number evaluation means for calculating the risk priority number of the equipment based on the probability of failure of the equipment with respect to the number of days after maintenance calculated by the probability density function from information on the failure, and the degree of detection of the maintenance inspection database; Maintenance frequency setting means is provided for increasing or decreasing the maintenance inspection frequency based on the difference between the risk priority number calculated by the risk priority number evaluation means and the degree of detection recorded in the maintenance inspection database.
With such a configuration, it is possible to quantify the risk related to the occurrence of a failure of the equipment, and to supply tap water or reclaimed water with a stable water quality and quantity by water treatment using a membrane.

(2) Moreover, in order to achieve the said objective, this invention receives the process measurement value of a water treatment plant | facility, the water purification process database which memorize | stores and memorize | stores, and the said water used in order to diagnose the state of an apparatus. Process measurement of treatment facility, water quality measurement, standard value of maintenance inspection result, management standard database to store risks related to causative substances contained in tap water, equipment to be inspected, equipment failure, equipment failure A maintenance inspection database that stores data relating to the water quality generated by the water, the degree of detection of equipment malfunction, the process measurement value and the water quality measurement value stored in the water purification process database, and the corresponding reference value stored in the management reference database Are compared to diagnose the presence or absence of equipment defects, and the results of diagnosis, date and time of failure, and details of failure are recorded in the traceability database. Evaluate the probability of equipment failure occurrence and the degree of equipment failure detection with respect to the number of days after maintenance calculated by the probability density function from the information about the failure recorded in the traceability database or maintenance inspection database data. A risk priority number evaluation means for evaluating the degree of influence by using the degree of the influence on the deterioration of the plurality of water quality items due to the malfunction of the equipment recorded in the management standard database and the risk value of the plurality of water quality items; The risk magnitude of the device is calculated by the product of the failure occurrence probability, the degree of detection, and the degree of influence evaluated by the priority number evaluation means, and the difference between the calculated risk magnitude and the difference in the degree of detection is calculated. Maintenance inspection frequency setting means for increasing or decreasing the maintenance inspection frequency based on the above.
With such a configuration, it is possible to quantify the risk related to the occurrence of a failure of the equipment, and to supply tap water or reclaimed water with a stable water quality and quantity by water treatment using a membrane.

(3) In the above (1) or (2), it is preferable to provide a maintenance inspection frequency setting means for providing guidance on the maintenance inspection frequency of the equipment from the amount of change in the risk priority number and the amount of change in the detection degree. Is.

ADVANTAGE OF THE INVENTION According to this invention, the maintenance inspection frequency setting assistance of the equipment of a membrane treatment facility can be implemented continuously, and it becomes possible to supply the tap water or the reclaimed water of the stable water quality and quantity by the water treatment using a membrane. .

It is a block diagram which shows the structure of the water treatment facility system using the management system by the 1st Embodiment of this invention. It is a block diagram which shows the structure of the management system of the water treatment facility by the 1st Embodiment of this invention. It is explanatory drawing of FTA for selecting the item which provides the reference value stored in the management reference database of the management system of the water treatment facility by the 1st Embodiment of this invention. It is explanatory drawing of the input information by hand stored in the maintenance inspection database of the management system of the water treatment facility by the 1st Embodiment of this invention. It is a flowchart which shows the processing content of the diagnostic means of the management system of the water treatment facility by the 1st Embodiment of this invention. It is a flowchart which shows the processing content of the risk priority number evaluation means of the management system of the water treatment facility by the 1st Embodiment of this invention. It is explanatory drawing of the risk priority number calculated by the risk priority number evaluation means of the management system of the water treatment facility by the 1st Embodiment of this invention. It is a flowchart which shows the processing content of the maintenance inspection frequency setting means of the management system of the water treatment facility by the 1st Embodiment of this invention. It is explanatory drawing of increase / decrease in the maintenance inspection frequency by the maintenance inspection frequency setting means of the management system of the water treatment facility by the 1st Embodiment of this invention. It is a block diagram which shows the structure of the water treatment facility system using the management system by the 2nd Embodiment of this invention. It is explanatory drawing of FTA for setting the item which provides the reference value stored in the management reference database of the management system by the 2nd Embodiment of this invention. It is a block diagram which shows the structure of the water treatment facility system using the management system by the 3rd Embodiment of this invention.

Hereinafter, the configuration and operation of the water treatment facility management system according to the first embodiment of the present invention will be described with reference to FIGS.
First, the configuration of the water treatment facility system using the management system according to the present embodiment will be described with reference to FIG.
FIG. 1 is a block diagram showing a configuration of a water treatment facility system using a management system according to the first embodiment of the present invention.

  The water treatment system according to this embodiment includes a membrane treatment facility 100, a management server 200, a terminal 300, and a network NW. Here, as the membrane treatment facility 100, the case of the water purification process by membrane treatment is shown as an example.

  The membrane treatment facility 100 supplies raw water WA1 taken from a water source such as a river, a dam, and groundwater to the customer as raw water WA2 through the raw water tank 110, the membrane module 120, and the membrane filtration water tank 130.

  The raw water WA1 is sent to the raw water tank 110 by the pump P1. In the raw water tank 110, the water quality, flow rate, water temperature, and the like are measured by the sensor S1.

  Next, the raw water is sent to the membrane module 120 by the pump P2. In the membrane module 120, raw water is filtered by a membrane made of an organic or inorganic material. Membranes used for ordinary water purification treatment are MF membranes with a pore size of about 0.01 to 10 μm and NF membranes with a molecular weight of about 350 to 1000 Da, depending on the type of membrane, turbidity, organic matter, colloid, etc. Is removed. The sensor S2 measures the flow rate of the membrane module 120. The transmembrane pressure gauge S10 measures the differential pressure of the membrane module 120. The membrane breakage detection device S20 detects the membrane module 120 by measuring the membrane filtration water turbidity.

  The membrane module 120 is back-washed using water supplied from the membrane filtration water tank 130 by the pump P3 after a certain filtration time has elapsed or when the differential pressure exceeds a predetermined value. The backwash water is sent to the waste water treatment tank 150. Backwash water contains high concentrations of fouling substances such as turbidity, organic matter, and manganese. In the wastewater treatment tank 150, these substances are concentrated and discharged as purified water sludge D. On the other hand, the supernatant water having a relatively low impurity concentration is returned to the raw water tank 110.

  The water filtered by the membrane module 120 is stored in the membrane filtration water tank 130. In the membrane filtration water tank 130, a chlorine agent is injected from the chlorine injector 140 so that the residual chlorine concentration becomes a predetermined value for disinfection. The sensor S3 measures the water quality of the water that has been subjected to the membrane treatment and the disinfection treatment. Here, the water quality data includes turbidity, TOC (total organic carbon content), residual chlorine, and the like.

  The management server 200 includes a computer such as a personal computer and software on the computer, for example, receives process data and water quality data via the network NW, and takes in information related to daily inspection results from the terminal 300. The process data captured by the management server 200 includes the flow rate and water temperature measured by the sensor S1, the flow rate of the membrane module 120 measured by the sensor S2, and the differential pressure of the membrane module 120 measured by the transmembrane pressure gauge S10. In addition, there is damage information of the membrane module 120 measured by the membrane breakage detection device S20. The water quality data includes the water quality measured by the sensor S1 and the water quality measured by the sensor S3. Furthermore, it functions to output a diagnosis using the input data and management criteria, and an operation management method according to the diagnosis result. In addition, the management server 200 serves to evaluate risk assessment regarding equipment failure and frequency of maintenance inspection. The detailed configuration of the management server 200 will be described later with reference to FIG.

  The terminal 300 is a personal computer or a portable terminal that can be connected to the network NW, and is used to access the management server 200 and to input inspection results of the membrane treatment facility 100 and to provide information from the management server 200.

Next, the configuration of the water treatment facility management system according to the present embodiment will be described with reference to FIG.
FIG. 2 is a block diagram showing the configuration of the water treatment facility management system according to the first embodiment of the present invention.

  The water treatment facility management system according to the present embodiment is constructed in the management server 200. The management server 200 includes a CPU 210, a memory 220, a data input / output terminal 230, a water purification process database 240, a management standard database 250, an improvement measure database 260, a maintenance inspection database 270, a traceability database 280, and a network interface. (IF) 290.

  The memory 220 stores programs that function as data collection means 220A, risk priority number evaluation means 220B, maintenance inspection frequency setting means 220C, diagnosis means 220D, and search means 220E. The CPU 210 executes these programs. Activate various functions.

  The network interface 290 communicates information with the terminal 300 connected to the network NW and the devices of the membrane treatment facility 100, and as a result, information sent from the network NW and the memory 220 are stored in various databases. Information generated by executing the program group and information set / input from the terminal 300 and the data input / output terminal 230 are stored.

  Process data transmitted via the network NW is stored in the water purification process database 220. In addition, process data related to the membrane treatment facility 100 and water quality test data set and input manually from the terminal 300 and the data input / output terminal 230 are stored.

  The management reference database 250 stores data that is manually set and input from the terminal 300 or the data input / output terminal 230. As stored data, reference values for process measurement, water quality measurement, and maintenance / inspection results of water supply facilities used for diagnosing the state of the equipment are stored.

Here, the item which gives the reference value stored in the management reference database 250 of the management system of the water treatment facility by this embodiment is demonstrated using FIG.
FIG. 3 is an explanatory diagram of FTA (fault tree analysis) for selecting items that provide reference values stored in the management reference database of the water treatment facility management system according to the first embodiment of the present invention.

  For example, when the phenomenon of “abrupt increase in membrane filtration water turbidity” occurs, “the abnormality of the membrane filtration water turbidimeter” or “the abnormality of the membrane module” can be considered as the cause. Furthermore, the cause of “abnormality of the membrane filtration water turbidimeter” may be “turbidity meter failure” and “sampling unit abnormality”. In addition, the cause of “abnormality of the membrane module” can be “membrane rupture”, “seal failure”, and “connector breakage”. The FTA is executed in this way, and in the example of FIG. 3, for example, “turbidity meter failure”, “sampling part abnormality”, “membrane breakage”, “seal failure”, “connector failure” It is stored in the management reference database 250 as an item for giving a value.

  In FIG. 2, the management standard database 250 stores risks related to causative substances that are contained in tap water and harm consumers. In this example, as an item that gives a risk, if water is ingested, it may be an item related to substances that may cause health damage to consumers, and may be an obstacle to the use of water. Items related to substances.

In the case of waterworks, the causative substances causing health damage include metals such as arsenic, cadmium, mercury, lead, and other harmful substances such as cyanide and trichlorethylene, as well as cryptosporidium, which are in the water quality standards. On the other hand, as an impediment to use, there are a strange odor and coloring. The risk that there are geosmin and chloramine as odor-causing substances and manganese and organic substances as coloring causative substances is calculated from, for example, the product of occurrence frequency and severity. As the occurrence frequency, the number of times that the concentration of the target substance at a specific point exceeds the reference value can be used. In addition, the severity can be set from the degree of human health damage, the range (population) in which water damage occurs.

  Further, in the improvement measure database 280 shown in FIG. 2, when the diagnosis unit 220B diagnoses that the state of the device is abnormal, the contents of the improvement measures to be presented to the terminal 300 and the data input / output terminal 230 are the diagnosis of each device. Stored in association with the item. These output and presentation content data are manually set and input from the terminal terminal 300 or the data input / output terminal 230.

  Further, the maintenance inspection database 270 stores maintenance inspection target devices, items, frequencies, dates, and results in the membrane processing facility 100. The maintenance inspection database 270 stores manually input information for the risk priority number evaluation means 220B, the evaluation results, and the setting results of the maintenance inspection frequency setting means 220C.

Here, manual input information stored in the maintenance inspection database 270 of the water treatment facility management system according to the present embodiment will be described with reference to FIG.
FIG. 4 is an explanatory diagram of manually input information stored in the maintenance database of the water treatment facility management system according to the first embodiment of the present invention.

  As the manually input information, for example, as shown in FIG. 4, there are items of the failure mode, cause, and water quality / water quantity affected by the failure, and the initial setting values of the degree of influence, the degree of detection, and the probability of occurrence.

Here, the degree of influence is the degree of influence that a malfunction of the device has on the deterioration of each water quality item in the faucet. For example, the following three levels can be set.
“Impact degree 5”: The removal performance is greatly deteriorated and deviates from the allowable value “Impact degree 3”: The removal performance is deteriorated and deviates from the allowable value depending on conditions such as raw water quality “Impact degree 1”: Influence Is small and does not deviate from the allowable value.

  The impact level * is calculated as k × Σ ((impact level 0) × (water quality risk)). Here, k is a coefficient and is given by (1 / Σ (water quality risk)). For example, in the example of the top row in FIG. 4, “impact degree 0” is “turbidity = 5”, “organic matter = 5”, “odor = 1”, “chromaticity = 3”, “ E. coli = 1, and the “water quality risk” is “turbidity = 20”, “organic matter = 20”, “odor = 15”, “chromaticity = 15”, and “E. coli = 20”, respectively. The influence degree * can be calculated as “3.1” as (1 / (20 + 20 + 15 + 15 + 20)) × (5 × 20 + 5 × 20 + 1 × 15 + 3 × 15 + 1 × 20).

Further, the degree of detection indicates how much means and opportunity to detect that a malfunction of the device has occurred. For example, the following five levels can be set.
“Detection level 5”: Undetectable (disassembly check required)
“Detection level 4”: Detectable by an event accompanying the occurrence of a failure, but the detection rate is low. “Detection level 3”: Detectable by an event accompanying the occurrence of a failure. “Detection level 2”: Detectable by continuous monitoring equipment. Low detection rate “Detection level 1”: Can be detected accurately with continuous monitoring equipment.

  In the example of FIG. 4, the influence degree regarding the hollow fiber breakage of the membrane module is 5 in the case of turbidity. On the other hand, although the abnormality of the membrane module can be recognized from the change in the treated water turbidity, it is relatively difficult to specify the cause as the breakage of the hollow fiber, so the degree of detection was set to 2.

  The data collection unit 220A shown in FIG. 2 collects process data of the membrane treatment facility 100 obtained through the network interface 290 and stores it in the water purification process database 220.

  The risk priority number evaluation unit 220B evaluates the risk priority number using the occurrence frequency, the degree of influence, the degree of detection, and the risk of the related water quality item regarding the failure or malfunction of the device. At this time, the occurrence frequency is calculated using the failure information of the equipment stored in the maintenance / inspection database 270, the diagnosis result by the diagnosis unit 220D stored in the traceability database 280, or the initial setting value input by the administrator. The specific operation of the risk priority number evaluation means 220B will be described later with reference to FIG.

  The maintenance inspection frequency setting means 220C sets the maintenance inspection method and the maintenance inspection frequency of the equipment based on the combination of the risk priority number and the detection degree and the comparison between the risk priority number and the detection degree regarding the same equipment evaluated in the past. The specific operation of the maintenance inspection frequency setting means 220C will be described later with reference to FIG.

  The diagnosis means 220D uses the water purification process database 220, the management reference database 250, and the maintenance inspection database 270, compares water quality data, process data, maintenance inspection data with each reference value, and diagnoses a malfunction of the equipment, and the diagnosis result Is output to the data terminal 300 and the data input / output terminal 230. Furthermore, the improvement measure at the time of deviation from the reference value is output according to the data of the improvement measure database 260. The specific operation of the diagnostic unit 220D will be described later with reference to FIG. In addition to the method based on comparison with the reference value, the diagnostic method may be a method using fuzzy or neural network.

  The traceability database 280 stores output information from the diagnostic unit 220D.

  The search means 220E searches the information stored in the traceability database 280 for information that satisfies the conditions input from the terminal 300 or the data input / output terminal 230, and presents the information to the terminal.

Next, the processing contents of the diagnostic means 220D of the water treatment facility management system according to the present embodiment will be described with reference to FIG.
FIG. 5 is a flowchart showing the processing contents of the diagnostic means of the water treatment facility management system according to the first embodiment of the present invention.

  The diagnosis unit 220D executes the processing contents shown in FIG. 5 periodically or when water quality data, process data, or maintenance / inspection data is newly input or updated.

  In step S <b> 101, the diagnosis unit 220 </ b> D confirms whether or not there is a reference value related to measurement or inspection in the management reference database 250. If the reference value is not found, the administrator performs the FTA shown in FIG. 3 and registers it in the management reference database 250. If there is a reference value, the reference value is acquired from the management reference database 250 in step S102.

  Next, in step S103, relevant data is acquired from the water purification process database 220 and the maintenance inspection database 270. In step S104, the acquired reference value range is compared with the data to determine whether there is a malfunction of the device. When it is determined that there is a malfunction of the device, items that can be the cause are acquired from the FTA analysis result stored in the management reference DB 250, and corresponding improvement measures are acquired from the improvement measure database 260.

  Next, in step S106, the diagnosis result is output to the terminal 300 and the data input / output terminal 230, and the diagnosis result and the content of the improvement measure are recorded in the traceability database 280. When the cause is clarified after implementing the improvement measures, the final cause is stored in the traceability database 280 from the terminal 300 or the data input / output terminal 280.

  Here, the processing of the diagnostic means 220D will be described by taking a membrane breakage detection device (filtered water turbidity measurement) as an example.

  If the analysis shown in FIG. 3 has already been performed and a reference value for filtered water turbidity has been set, a reference value for turbidity is acquired in step S102. Next, the measured value of filtered water turbidity is acquired in step S103, and these are compared in step S104. When the value deviates from the reference value, items such as abnormality of the turbidimeter and film breakage that are the cause of occurrence are acquired from the management reference database 250. As improvement measures corresponding to these items, turbidimeter inspection, membrane repair or replacement, etc. are acquired from the improvement measure database 260. Finally, the cause of occurrence and the content of the improvement measures obtained are presented on the terminal 300 and recorded in the traceability database 280.

Next, processing contents of the risk priority number evaluation unit 220B of the water treatment facility management system according to the present embodiment will be described with reference to FIGS.
FIG. 6 is a flowchart showing the processing contents of the risk priority number evaluation means of the water treatment facility management system according to the first embodiment of the present invention. FIG. 7 is an explanatory diagram of the risk priority number calculated by the risk priority number evaluation unit of the water treatment facility management system according to the first embodiment of the present invention.

  The risk priority number evaluation means 220B executes the processing content shown in FIG. 6 periodically or when new equipment is introduced.

  In step S <b> 201, the risk priority number evaluation unit 220 </ b> B acquires the occurrence date and time and the failure content as information related to the failure of the target device from the traceability database 280 and the maintenance / inspection database 270.

  Next, in step S202, redundant information is deleted from the obtained information, and the probability distribution of the occurrence of failure of the target device with respect to the elapsed days after maintenance is evaluated. At this time, a Weibull distribution or the like can be used as the probability density function. When the number of failure occurrences is low and the probability distribution using data cannot be calculated, the initial setting value is acquired from the maintenance inspection database 270. Then, the occurrence probability of a failure at a regular maintenance inspection execution interval is calculated.

  Next, in step S203, risks are acquired from the management standard DB 250 for all the water quality items and water volume items related to the failure of the target device, and in step S204, the influence level and the detection level are acquired from the maintenance inspection database 270. If these data are not in the database, perform failure mode effects analysis and input.

Next, in step S205, the risk priority number is calculated from the product sum of the failure occurrence probability, the influence degree, the risk, and the detection degree as in the following equation.

(Risk priority number) = (failure occurrence probability) × (detection degree) × k × Σ {(impact degree 0) i × (risk) i} = (failure occurrence probability) × (detection degree) × (impact degree *)

Here, i indicates related water quality items and water volume items, and the product of the impact and risk of all the related items is summed and reflected in the risk priority number.

  Finally, in step S206, it is stored in the calculated maintenance inspection database 270. The risk priority number calculation formula here is calculated by directly using the numerical value of each parameter, but may be multiplied by a coefficient for correction according to the absolute value or range of each parameter.

  FIG. 7 shows an example of the risk priority number stored in the maintenance / inspection database 270. In the case of the top row in FIG. 7, “danger priority number = 0.2 × 10−2” is calculated using the failure occurrence probability, the influence degree, the risk, and the detection degree shown in FIG. It is stored in the database 270.

  In the present embodiment, as described above, the risk priority number is calculated and stored in the maintenance inspection database 270. The greater the risk priority number, the greater the degree of danger. Therefore, the priority can be set using this risk priority number. Moreover, it can be used for maintenance and inspection of equipment in the membrane processing facility.

Next, processing contents of the maintenance inspection frequency setting means 220C of the water treatment facility management system according to the present embodiment will be described with reference to FIGS.
FIG. 8 is a flowchart showing the processing contents of the maintenance inspection frequency setting means of the water treatment facility management system according to the first embodiment of the present invention. FIG. 9 is an explanatory diagram of increase / decrease in maintenance inspection frequency by the maintenance inspection frequency setting means of the water treatment facility management system according to the first embodiment of the present invention.

  The processing shown in FIG. 8 is executed periodically or when new equipment is introduced by the maintenance inspection frequency setting means 220C.

  In step S301, the maintenance / inspection frequency setting unit 220C acquires the latest value and the previously evaluated value from the maintenance / inspection database 270 among the information on the priority number of risks and the degree of detection regarding the target device.

  Next, in step S302, a difference is obtained for each item. In step S303, an increase / decrease in maintenance inspection frequency is obtained in accordance with the matrix shown in FIG.

  FIG. 8 explains the increase / decrease in maintenance / inspection frequency by the maintenance / inspection frequency setting means 220C. For example, each difference between the risk priority number and the degree of detection obtained in step S302 has an increasing tendency, for example, an increase of 20% or more. If so, strengthen the maintenance inspection system or frequency. Further, when the change amount of the difference in the detection degree is small, for example, a change of ± 20%, but when the difference in the number of risk priority exceeds this, it is strengthened in the same manner.

  In the case of the degree of detection set in the present embodiment, the direction of strengthening the maintenance inspection system or the frequency can be selected from the following depending on the value. When the degree of detection is 1 → 2, consider introducing an effective continuous measuring instrument, or increasing the parameters of the diagnostic rule to make it more sophisticated. When the degree of detection is 2 → 3, as in the case of 1 → 2, consider introducing an effective continuous measuring instrument, or increasing the parameters of the diagnostic rule to make it more sophisticated. When the degree of detection is 3 → 4, consider a method for improving the detection rate of an event associated with the occurrence of a failure, or implement countermeasures by strengthening time-planned maintenance or preventive maintenance. As a method for improving the detection rate of an event associated with the occurrence of a failure, for example, when a failure occurs due to vibration, a method that can improve the detection rate of vibration (improvement of sensor sensitivity or introduction of another sensor) is studied. As enhancement of time plan maintenance, for example, the inspection frequency is calculated by a function of the number of priority of risk ((check frequency) = k × (number of priority of risk)). When the degree of detection is 4 → 5, we will respond by strengthening time-planned maintenance and preventive maintenance.

  Finally, in step S304, the evaluation result is output to the terminal 300 and the data input / output terminal 230 and stored in the maintenance inspection database 270.

  In this embodiment, as described above, the water quality management system can be periodically improved by increasing or decreasing the maintenance inspection frequency according to the difference between the risk priority number and the degree of detection. Is possible.

  In this embodiment, water quality such as turbidity, organic matter, chromaticity, residual chlorine, and the number of particles is measured, and using this measurement value, the diagnostic means, risk priority number evaluation means, and maintenance inspection frequency setting means are each Diagnosis, risk priority number evaluation and maintenance inspection frequency setting are performed.

  Also measured with a sensor that measures the flow rate of the membrane treatment raw water, backwash water, cleaning air, chemical solution to the membrane module, and using the measured value of this sensor, diagnostic means, risk priority number evaluation means, The maintenance inspection frequency setting means can perform diagnosis, risk priority number evaluation, and maintenance inspection frequency setting, respectively.

  In the above description, diagnosis of equipment malfunction has been described. However, a reference value for confirming that process measurement such as water quality and chemical injection is within an appropriate range is recorded in the management reference database 250, and similarly. It is also possible to make a diagnosis and display, and to present information on the improvement measures stored in the improvement measure database 260.

  Further, although the embodiment has been described in units of devices, evaluation of occurrence of defects and setting of inspection frequency in units of parts may be performed in more detail. In that case, the FTA shown in FIG. 3 is performed to the component level, the component causing the malfunction is specified, and is registered in advance in the maintenance inspection database 270 in units of components.

  Moreover, it can replace with the water quality risk at the time of using the manufactured water, can evaluate an impact degree using a water quantity risk, and can also evaluate a risk priority number using this influence degree.

  As described above, in this embodiment, maintenance can be performed by setting a priority order for the maintenance inspection of the equipment of the membrane processing facility according to the risk priority number. In addition, by increasing or decreasing the maintenance inspection frequency according to the difference between the risk priority number and the degree of detection, the water quality management system can be periodically improved, and continuous operation becomes possible. Therefore, the maintenance inspection frequency setting support for the equipment of the membrane treatment facility can be continuously performed, and it becomes possible to supply tap water or reclaimed water having a stable water quality and quantity by water treatment using the membrane.

Next, the configuration and operation of the water treatment facility management system according to the second embodiment of the present invention will be described with reference to FIGS. 10 and 11.
FIG. 10 is a block diagram showing a configuration of a water treatment facility system using a management system according to the second embodiment of the present invention. FIG. 11 is an explanatory diagram of an FTA for setting items that provide reference values to be stored in the management reference database of the management system according to the second embodiment of the present invention. The same reference numerals as those in FIG. 1 denote the same parts.

  Since there are many relatively small membrane processing facilities, the number of devices is small, and when the failure occurrence probability of a device is evaluated from failure data in a single membrane processing facility, there is a possibility that the accuracy will deteriorate. Therefore, in this embodiment, the failure occurrence probability of the device is evaluated from the failure data of a plurality of membrane processing facilities.

  As shown in FIG. 10, the water treatment facility system of the present embodiment includes a plurality of membrane treatment facilities 100a, 100b, 110c, 100d, and 100e, a management server 200A, a terminal 300, and a network NW. . Here, the case of the water purification process by membrane treatment and granular activated carbon treatment is demonstrated as an example as membrane treatment facilities 100a-100e.

  The membrane treatment facility 100a to the membrane treatment facility 100e are water facilities such as rivers, dams, and groundwater, as well as water that is supplied from other water purification plants as raw water, and is particularly equipment for supplying drinking water. In order to ensure quality for drinking water, a part or all of raw water is treated with activated carbon and then subjected to membrane treatment and stored in a drinking water storage tank. At this time, the treated water quality is monitored by a sensor, the valve is adjusted according to the monitoring result, and the flow distribution to the activated carbon treatment tank can be controlled. Items monitored by the sensor include organic matter, odor, etc. related to the taste of drinking water.

  The management server 200A and the terminal 300 have the same configuration as that shown in FIGS. 1 to 9, and are connected to the membrane treatment facilities 100a to 100e via the network NW. Among the operations of the management server 200 </ b> A, differences from those described with reference to FIGS. 1 to 9 will be described below.

  The processing contents of the diagnosis unit 220D of the management server 200A will be described for the case where the water supply facility of this embodiment is targeted.

  Here, FIG. 11 shows an example of an FTA for setting items relating to activated carbon among items giving reference values stored in the management reference database 250. If the concentration of the organic matter to be treated with activated carbon increases in the treated water, there may be saturation of the adsorption amount of activated carbon, failure of the control device or valve, sensor failure, product of activated carbon usage time and organic matter concentration or valve Can be set as a reference value setting item.

  The diagnosis unit 220 </ b> D performs a diagnosis using the reference value stored in the management reference database 250 and outputs an improvement measure to the terminal 300.

  Next, the processing contents of the risk priority number setting means 220B will be described for a case where the water supply facility of this embodiment is targeted.

  In step S <b> 201 of FIG. 6, information related to the failure of the target device is acquired from the traceability database 280 and the maintenance inspection database 270. At this time, all the failure information regarding the same equipment in a plurality of water purification plants connected to the network is acquired, and the subsequent processing is performed based on this. As similar equipment, in addition to the same model, equipment and parts having similar specifications are selected.

  By performing such processing, even when the accuracy of the failure rate is poor in a single water purification plant, the accuracy of the failure rate can be improved by using data of a plurality of water purification plants.

  In addition, because the purpose is to supply drinking water, the water quality risk used for calculating the impact level is related to odor, organic matter, residual chlorine concentration, etc., which are the conditions for delicious water, and chromaticity, etc. that causes water use problems. Increase water quality risk. For example, in the first embodiment, the water quality risk of odor and chromaticity is set to 15, but in this embodiment, the water quality risk of these items is evaluated as 20. As a result, the risk priority number of the devices related to the activated carbon treatment increases, and accordingly, the maintenance inspection frequency evaluation means 220C presents the evaluations regarding these devices at the top.

  In this embodiment, the same processing is performed for all information related to the failure of the selected equipment, but a fixed weight is set according to the use environment, manufacturer, etc., and the failure occurrence rate corrected by the weight is set. It can also be evaluated.

  As described above, according to the present embodiment, it is possible to continuously support maintenance and inspection frequency setting of equipment in a membrane treatment facility, and supply tap water or reclaimed water with stable water quality and quantity by water treatment using a membrane. It becomes possible.

  Moreover, the accuracy can be improved by evaluating the failure occurrence probability of a device from failure data of a plurality of membrane treatment facilities.

Next, the configuration and operation of the water treatment facility management system according to the third embodiment of the present invention will be described with reference to FIG.
FIG. 12 is a block diagram showing a configuration of a water treatment facility system using a management system according to the third embodiment of the present invention. The same reference numerals as those in FIG. 1 denote the same parts.

  The water treatment facility system of the present embodiment includes a recycled water production facility 100B, a management server 200B, a terminal 300, and a network NW. Here, as a reclaimed water manufacturing facility 100B, the case of the process by the biological treatment by activated sludge, a membrane treatment, and ozone treatment is shown as an example.

  The reclaimed water production facility 100B treats the influent water WA3 from the sewage by the first settling basin 160, the biological treatment tank 165, the final settling basin 170, the membrane module 120, and the ozone treatment tank 175, and supplies the reclaimed water WA4 to consumers. .

  In the first settling basin 160, a relatively large solid contained in the influent water WA3 is separated by gravity settling. The supernatant water is treated with activated sludge in the biological treatment tank 165. Here, organic substances, nitrogen, and phosphorus are removed by adjusting the oxygen concentration in the tank and circulating methods. Next, in the final sedimentation basin 170, the activated sludge contained in the treated water is separated by gravity sedimentation. Furthermore, after removing particles in water with the membrane module 120, ozone is supplied from the ozone injector 180 to the ozone treatment tank 175, and organic matter is decomposed and disinfected. Part of the sludge 15 separated in the first sedimentation basin 160 and the final sedimentation basin 170 is treated in the sludge treatment facility 185, and final disposal such as landfill is performed.

  In this process, sensors S31, S32, S33, and S34 are installed in addition to the transmembrane pressure gauge S10 and the breakage detection device S20, and the process and water quality data at each stage of the process are measured. Here, the water quality data includes organic matter, NH3-N, NOx-N, and the like. A turbidimeter is used as the film breakage detection device S20.

  The occurrence probability and the degree of detection used for calculation of the risk priority number are the same as in the above-described embodiment. On the other hand, in the evaluation of the degree of influence, it is necessary to consider the influence of the leakage of turbidity components and some organic substances due to film breakage on the subsequent ozone treatment. Since ozone has a high oxidation potential, its reactivity with organic substances is high, and the consumption of ozone increases due to leakage of organic substances and turbidity due to film breakage. This reduces the disinfection effect, which is one of the purposes of ozone treatment. Therefore, the risk due to microorganisms such as E. coli is associated with the influence of membrane breakage. For this reason, the risk priority number is increased, and the maintenance and inspection system for the membrane module and the breakage detection device needs to be further enhanced.

  Further, if the management server 200B is a management system including an equipment management database in addition to the components shown in FIG. 2, it becomes easy to cope with facility changes as described below. This equipment management database stores information on equipment, which is included in plans for improvement, update, expansion, etc., in addition to information on names, specifications, and operation times related to existing equipment. Then, the risk priority number evaluation means 220B and the maintenance inspection frequency setting means 220C are executed for the equipment specified by the administrator.

  As an example, a case where the treatment process of the biological treatment tank 165 is changed from the standard activated sludge method to the A2O method will be described. The standard activated sludge method is intended to remove organic substances in sewage, and phosphorus and nitrogen are basically not removed. On the other hand, in the A2O method, nitrogen and phosphorus can be removed by circulation in a biological treatment tank and formation of an anaerobic tank, an aerobic tank, and an oxygen-free tank. Therefore, in the A2O method, in the risk priority number evaluation of the circulation pump and the aeration apparatus, the influence degree of NH3-N and NOx-N is set high, and a maintenance management system is constructed as a more important device in the production of reclaimed water.

  As another example, a case where an organic sensor is newly introduced into the sensor S35 will be described. Since the processability of the organic matter in the biological treatment tank is affected by the amount of inflowing water, when there is no organic matter sensor, the flow rate measurement (flow meter) in the sensor S31 needs to set the degree of influence used for risk priority number calculation large. However, by introducing the organic substance sensor, the amount of the organic substance flowing into the ozone treatment tank 175 can be grasped more accurately and reflected in the control of the ozone injector 180. Therefore, the influence level of the flow meter of the inflowing water is low, and the influence degree of the organic matter sensor is set high, so that a maintenance inspection system after the introduction of the sensor can be established.

  By executing these evaluations on the equipment in the planning stage stored in the equipment management database, there is no leakage during actual operation and an appropriate maintenance inspection system can be established.

  As described above, according to the present embodiment, it is possible to continuously support maintenance and inspection frequency setting of equipment in a membrane treatment facility, and supply tap water or reclaimed water with stable water quality and quantity by water treatment using a membrane. It becomes possible.

In addition, an appropriate maintenance and inspection system can be established in the reclaimed water production facility.

100, 100a to 100e ... Water supply facility 100B ... Reclaimed water production facility 110 ... Raw water tank 120 ... Membrane module 130 ... Membrane filtration water tank 140 ... Chlorine injector 150 ... Waste water treatment tank 160 ... First sedimentation tank 165 ... Biological treatment tank 170 ... Final sedimentation Pond 175 ... Ozone treatment tank 180 ... Ozone injector 185 ... Sludge treatment equipment 200, 200A, 200B ... Management server 300 ... Terminal 210 ... CPU
220 ... Memory 220A ... Data collection means 220B ... Risk priority number evaluation means 220C ... Maintenance inspection frequency setting means 220D ... Diagnosis means 220E ... Search means 230 ... Data input / output terminal 240 ... Water purification process database 250 ... Management standard database 260 ... Improvement measures Database 270 ... Maintenance inspection database 280 ... Traceability database 290 ... Network interface (IF)
WA1 ... Raw water WA2 ... Water WA3 ... Inflow water WA4 ... Reclaimed water

Claims (3)

A water treatment facility management system that supports the maintenance of a water purification membrane treatment facility that treats raw water,
A water purification process database for storing information on process measurement of the water treatment facility;
A management standard database for storing management standard values of the measurement items;
A remedial action database for storing information relating to a measure to be presented when the measured value deviates from the range of the management reference value stored in the management reference database;
Diagnostic means for diagnosing an abnormality in the operating state of the membrane treatment facility using the measurement value and the management reference value stored in the management reference database;
A traceability database that records the diagnosis result of the diagnosis means, the date and time of occurrence, and the details of the failure;
A maintenance database that records multiple water quality items related to failures, the degree of their impact, and the degree of detection;
Information on the degree of influence on the deterioration of a plurality of water quality items and the degree of influence calculated using the risk values of the plurality of water quality items from the information in the management standard database and the maintenance inspection database, and information on failures recorded in the traceability database A risk priority number evaluation means for calculating a risk priority number of equipment according to the probability of equipment failure with respect to the number of days after maintenance calculated by a probability density function from the above and the degree of detection of the maintenance inspection database; A water treatment facility management system comprising maintenance frequency setting means for increasing / decreasing maintenance inspection frequency based on the difference between the risk priority number calculated by the number evaluation means and the degree of detection recorded in the maintenance inspection database . A water purification process database for receiving and storing process measurements and water quality measurements at water treatment facilities;
A management standard database for storing process measurement, water quality measurement, standard values of maintenance inspection results, and risks relating to harmful substances contained in tap water, which are used for diagnosing the state of equipment;
A maintenance inspection database that stores data related to equipment subject to maintenance inspection, equipment malfunction, water quality caused by equipment malfunction, and degree of detection of equipment malfunction;
The process measurement value and the water quality measurement value stored in the water purification process database are compared with the corresponding reference value stored in the management reference database to diagnose the presence or absence of equipment failure, the diagnosis result, the date and time of occurrence, and the failure content A diagnostic means for recording in a traceability database;
Evaluating the probability of equipment failure occurrence and the degree of equipment failure with respect to the number of days after maintenance calculated by a probability density function from information on failures recorded in the data of the traceability database or maintenance inspection database, and the management reference database A risk priority number evaluation means for evaluating the degree of influence by using the degree of the influence on the deterioration of a plurality of water quality items and the risk value of the plurality of water quality items recorded in
The risk magnitude of the device is calculated by the product of the failure occurrence probability, the degree of detection, and the degree of influence evaluated by the risk priority number evaluation means, and the difference in the risk magnitude of the calculated device and the degree of detection are calculated. A management system for a water treatment facility, comprising: maintenance inspection frequency setting means for increasing or decreasing a maintenance inspection frequency based on the difference between the two. In the management system of the water treatment facility in any one of Claim 1 or Claim 2,
A water treatment facility management system comprising a maintenance inspection frequency setting means for guiding a maintenance inspection frequency of equipment from the amount of change in the risk priority number and the amount of change in the detection degree.

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