KR101914285B1 - Integrated measurement and control system for water treatment plant - Google Patents

Abstract

An embodiment of the present invention relates to an integrated instrumentation measurement and control system for a water treatment plant which can integrally control according to a diagnosis result by automatically collecting information on an operating state of a water purification or a water treatment plant, and diagnosing in real time using the collected information. To this end, the integrated instrumentation measurement and control system comprises: a database design and construction system for collecting and storing at least one among measurement data, numerical analysis data, and facility data for a water treatment plant; a process operation support system for applying at least one among a statistical analysis, a fuzzy inference, a material balance, and a process simulation for the data stored in the database design and construction system to diagnose a state of a process so as to make a decision and to suggest a driving strategy according to the state of the process; and a control system for receiving the driving strategy from the process operating support system to perform a control on at least any one among the amount of raw sludge in a primary precipitation tank, the amount of air blowing in a bioreactor, the amount of coagulation precipitator input, the amount of external carbon source input, the amount of excess sludge, the amount of coagulator input in a mixing/coagulating site for a water purification plant, a cleaning period of a filtering site, the amount of the chemicals in the filtering site, and the amount of the water transfer of a water transfer pump to a water reservoir in a water purifying site.

Description

Technical Field [0001] The present invention relates to an integrated measurement and control system for a water treatment facility,

An embodiment of the present invention relates to an integrated instrumentation measurement control system of a water treatment facility.

In general, existing water or wastewater treatment facilities are characterized by the removal of contaminants by complex internal mechanisms, nonlinearities, and different treatment sites. As a result, professional driver experience is an important part of diagnosing and controlling the operation status of a water or sewage treatment facility. However, there is a disadvantage that the diagnosis of water or sewage treatment facilities based on the driver's experience is variable and subjective. In addition, there is a disadvantage that the reliability of the water and sewage treatment facilities is low because some water treatment facilities are managed by non- .

In order to overcome these disadvantages, there are a number of applications for measuring the operation status of a water purification or sewage treatment facility by using a measuring device or an analyzing device, analyzing and diagnosing in real time based on such data, and controlling the water purification or sewage treatment facility have. There is also a filing that includes a device that automates such facilities to self-diagnose and control the process.

However, if we look at the content of these applications, we are describing them in a comprehensive and indefinite way, without any detailed technical aspects. In addition, although facilities are controlled according to the result of process diagnosis for water purification or sewage treatment facilities, in complex water or wastewater treatment facilities where there are many complicated and considerable factors such as diagnosis of one item and control of facilities There is a limitation in that it is not suitable for.

For example, the present patent application entitled "Water Treatment System Integrated Management System Using Water Quality Simulator and Statistical Analysis Technique" (Application No. 10-2007-0070647) shows accumulation of water quality information on the operating factor value of a local water treatment facility And the analysis and simulation program that outputs the operational information that can predict the water quality at the time of discharge and obtain the optimum water quality through the information of the database. However, only the definitions and roles of the database, the central management server, the simulator, and the statistical analysis program are shown. However, there is no description about how to perform the integrated management through the interaction and only the concept is described It strikes.

In addition, the "control device of wastewater treatment facility" (registration No. 10-0446250), which is registered and registered as a patent, can demonstrate the control performance of the experienced driver level automatically by applying a professional control system, The present invention has been described to provide a control apparatus for a wastewater treatment facility capable of being monitored and controlled at a remote site. However, there are various control factors such as not only a concept but also an air blower for controlling the concentration of dissolved oxygen However, the limitation of controlling only one dissolved oxygen amount is revealed.

Therefore, considering the recent complexity and complexity of elements to be considered as the water purification or sewage treatment facilities become more sophisticated, complex, diversified, and automated, conventional technologies can not accurately analyze and diagnose these factors, Control is not performed efficiently.

Patent Registration No. 10-1028885 (Date of Notification: 2011.04.12)

An embodiment of the present invention automatically collects information on the operation status of a water purification or sewage treatment facility, diagnoses it in real time using the collected information, and integrally controls the water treatment facility according to the diagnosis result. Control system.

An integrated instrumentation measurement control system of a water treatment facility according to an embodiment of the present invention includes a database designing and building system for collecting and storing at least one of measurement data, numerical analysis data, and facility data for a water treatment facility; The process of diagnosing the state of the process by applying at least one of statistical analysis, fuzzy reasoning, material balance, and process simulation to the data stored in the database design and construction system and presenting the decision and operation strategy accordingly Support system; And the operation strategy is received from the process operation support system. In the case of the sewage treatment facility, the amount of raw sludge in the primary settling tank through the control of the raw sludge pump, the air blowing amount of the bioreactor through the control of the air blower, , The amount of external carbon source through control of external carbon source injection pump and the amount of surplus sludge through control of waste sludge pump, the amount of coagulant injected in mixed / coagulated soil in the case of water treatment facility, the cleaning of filter paper And a control system that performs control on at least one of a period, a chemical quantity, and a transfer pump transfer quantity from a fixed port to a reservoir, wherein the control system controls the function of the extension line or the multi- Wherein the power supply includes an AC input power source, an AC output A power line extending unit including an outlet, a power line provided between the AC input power source and the AC output receptacle, and a first switch provided on the power line; A battery module connected to the power line extension unit in parallel; And a relay connected to the power line extension unit and the battery module to output an AC power to the load through the AC output receptacle through the power line extension unit or the battery module, A second switch connected to the input power source, an AC DC converter connected to the second switch, a battery protection circuit monitoring system connected to the AC DC converter, a battery connected to the battery protection circuit monitoring system, a DC AC inverter connected to the battery, And a step-up circuit connected between the AC inverter and the relay.

The integrated instrumentation and control system of the water treatment facility according to an embodiment of the present invention automatically collects information on the operation status of the water purification and sewage treatment facilities, diagnoses in real time using the collected information, Can be integrated control.

BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 is a flow chart schematically illustrating an overall process performed by the present invention;
Fig. 2 shows a detailed configuration of an overall system for carrying out the process of Fig. 1; Fig.
3 is a view showing a detailed method for controlling a raw sludge pump;
FIG. 4 is a view showing a series of processes for controlling the air blowing amount in a biological reactor through an air blower; FIG.
FIG. 5 is a graph showing a process of calculating the critical oxygen concentration in the process of FIG.
6 is a detailed process for controlling the waste sludge pump.
FIG. 7 is a detailed process for controlling a flocculant injecting pump; FIG.
8 is a detailed process for controlling an external carbon source injection pump.
FIG. 9A is a detailed process for controlling the coagulant infusion pump; FIG.
Figure 9b shows a detailed process for control of a chemical injection pump required for cleaning.
9C is a detailed process for controlling the feedwater pump.
10 is a block diagram showing an electrical configuration of a power supply device provided in an integrated instrumentation control system of a water treatment facility according to an embodiment of the present invention.
Fig. 11 is a plan view and a front view showing a mechanical configuration of the power supply device of Fig. 10; Fig.
12 is a waveform diagram showing waveforms of a DC AC inverter at the time of AC input power supply interruption;
13A to 13C are block diagrams showing the control flow of each section of the DC AC inverter of the power supply device of FIG.

The terms used in this specification will be briefly described and the present invention will be described in detail.

While the present invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments. Also, in certain cases, there may be a term selected arbitrarily by the applicant, in which case the meaning thereof will be described in detail in the description of the corresponding invention. Therefore, the term used in the present invention should be defined based on the meaning of the term, not on the name of a simple term, but on the entire contents of the present invention.

When an element is referred to as " including " an element throughout the specification, it is to be understood that the element may include other elements as well, without departing from the spirit or scope of the present invention. Also, the terms " part, " " module, " and the like described in the specification mean units for processing at least one function or operation, which may be implemented in hardware or software or a combination of hardware and software .

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the drawings.

1 is a flow chart schematically showing an overall process performed by the present invention.

Referring to FIG. 1, the entire process performed by the present invention will be described. First, data is collected from an instrument cluster and water quality analysis at each point, and an overall database is designed and constructed (S10). Before using the data herein, data correction is performed in order to control an incorrect measurement value such as noise that may occur when an input signal received from the meter is received to receive an accurate measurement value (S20). Based on the corrected data, the process operation state is analyzed and diagnosed by the fuzzy logic and the statistical technique (S30). In this case, the process simulation and the process diagnosis and prediction may be performed in some cases.

According to the result of the process analysis and diagnosis (S30), a decision is made to grasp the operation and abnormality of the process, and a driving strategy corresponding thereto is presented (S40). In other words, if there is an anomaly value, the cause of the abnormal state is identified and a control strategy for operation is established to control according to the abnormality, and the control command is transmitted to the control system according to the established control strategy (S50). Accordingly, the operation control of the process is automatically performed by the integrated instrument measurement control (S60), and the results of the analysis, the diagnosis, and the process control are displayed for the driver to see (S70). At this time, the control result is inputted into the database and continuously updated.

Through this process, integrated measurement and control system that integrates analysis and control of water and wastewater treatment facilities from data input, analysis, diagnosis and control strategy based on real time to real operation control is constructed.

FIG. 2 is a view showing a detailed configuration of an integrated instrumentation measurement control system that performs the process of FIG. 1, and shows the overall configuration of a real-time process diagnosis and integrated instrumentation measurement control system for a wastewater treatment facility. The system of the present invention shown in FIG. 2 can roughly be divided into a database design and construction system 100, a process operation management system 200, a control system 300, and a result display system 400.

The database design and construction system (100) includes a data storage unit (104) and a data correction unit (105).

The data storage unit 104 includes measurement data 101 for real-time measurement of an influent state and an operation factor, numerical analysis data 102 for analyzing water quality items for inflow water and effluent water at regular intervals, And facility data 103 that provides operating conditions for operation of the facility. The water quality measuring instrument for obtaining the measurement data 101 includes a sensor capable of obtaining information such as various kinds of flow rate, water quality, temperature, pH, etc. installed in the water treatment facility, and the measurement data 101 collected from such sensors are stored Unit 104 and stored. In addition, numerical analysis data 102 for collecting information on actual water quality by measuring water quality items on a regular basis, facility data 103 such as a design and operating factor range such as a size for the facility, .

The data correction unit 105 performs an outlier verification on each of the data 101, 102, and 103 before using it for process diagnosis. That is, based on the stored data, the data correction unit 105 determines the values that are determined to be inaccurate or noise based on the absolute deviation average and the trend analysis, and performs data correction operations And then stores the data in the data storage unit 104 again.

These data are updated and generated every minute.

The process operation management system 200 diagnoses the process by various methods based on the data received from the database design and construction system 100, and predicts the process state. That is, the process operation management system 200 receives the data from the database design and construction system 100 and analyzes the process by statistical analysis and fuzzy theory.

The process operation management system 200 includes a data statistical analysis unit 201 for analyzing through statistical techniques such as regression analysis, a fuzzy inference unit 202 for analyzing by fuzzy theory, A process simulation unit 204 for providing process optimization through modeling, and a decision and operation strategy suggestion unit 205 for presenting a decision and an operation strategy.

The applicable statistical analysis methods are as follows. Using regression analysis, we derive the relationship of highly correlated variables and verify the results of regression analysis through analysis of variance. By analyzing the principal component, the number of items to be evaluated is minimized while minimizing the information loss in the data, and the variation of the item which can not be grasped by the causal relation through the time series analysis is predicted within a short period of time. In addition, it is difficult to diagnose the state of the process by statistical techniques in case of a water treatment facility which has complicated causal relationship and time-varying items to be considered. Therefore, the operation state of the process is diagnosed and predicted using an artificial intelligent technique such as fuzzy logic do. Based on the principle of material removal based on the principle of removing contaminants, we analyze and predict the factors of the process and use the activated sludge model to model the organic, suspended, nitrogen and phosphorus components in the process in real time . Through this modeling method, not only the real time prediction but also the process diagnosis and optimal operating conditions are set up under various conditions, and the set values of the operation logic and the process operation factors of the automatic control equipment are reset.

By using these various techniques, it is predicted not only the influent flow rate and the incoming water quality to the water treatment facility, but also the discharged water quality, and diagnoses the abnormal state of each reaction tank by applying the management technique / fuzzy logic to the design range and operation range of operation factors.

Based on the state diagnosis and prediction result of the process, the decision and operation strategy suggestion unit 205 determines whether the process is operating normally, abnormally operating, or abnormal if any.

In addition, the decision-making and operation strategy proposal unit 205 determines the necessity of control in real time for five control factors as well as diagnosis of the process state, suggests a driving strategy, and transmits the strategy to the control system 300 .

The control system 300 includes a control command transfer unit 301 for transferring a suggested operation strategy according to a diagnosis result analyzed from the process operation management system 200. Accordingly, the control command is transmitted to the control command transmission unit 301 based on the suggested operation strategy by controlling the control conditions for each control factor.

Particularly, in the present invention, the control factor in the wastewater treatment facility is specifically injected into the raw sludge pump 302 in the primary settling tank 311, the air blower 303 in the bioreactor 312 (aeration tank) The control agent in the water treatment plant is supplied to the flocculant injection pump 314 in the admixture / flocculation tank 314 with the pump 305 and the external carbon source injection pump 306 and the surplus sludge pump 304 in the secondary settling tank 313, The chemical pump 308 and the water pump 309 that send and receive water from the purified water in the chemical pump 308 and the water pump 316 to the reservoir 307 and the filtration tank 315, respectively. That is, the control command transmission unit 301 includes a raw sludge pump 302, an air blower 303, a coagulating precipitant feed pump 305, an external carbon source feed pump 306, and a waste sludge pump 304, The biological treatment tank 312 and the secondary settling tank 313 of the wastewater treatment facility to the control unit 307, the chemical injection pump 308 and the water supply pump 309, The control of the control command from the control command transmission unit 301 is performed on the mixing / coagulating tank 314, the filtration tank 315, and the water supply pump chamber 316.

The result display system 400 includes an alarm generating unit 401 for informing the abnormal state of the process in advance, and a result display unit 402 for displaying the prediction result and the operation strategy to the driver. Process analysis and diagnosis in the process diagnosis system and control items according to the decision and operation strategy are transferred to the result display system 400 so that preliminary alarms can be generated in a range other than the set value, And is displayed by the result delivery so that the driver can see the current process status and the results of the prediction and diagnosis.

The detailed process of the processes in the integrated instrumentation measurement control system will be described in detail as follows.

3 to 8 show the decision and control steps (S40 to S60) for further explanation.

FIG. 3 is a view showing a detailed method for controlling the raw sludge pump 302. As shown in FIG. 3, the influent flow rate into the wastewater treatment facility, the inflow TSS concentration, and the concentration of the sludge TSS in the first settling tank 311 are measured Calculate the amount of primary precipitation sludge generated. This information is reviewed and evaluated for the amount of sludge generated using fuzzy logic and control method considering the final target TSS removal rate and the number of times of sludge withdrawal at the wastewater treatment facility. Finally, the raw sludge discharge amount is controlled by controlling the raw sludge pump 302 according to the operation strategy.

FIG. 4 is a view showing a series of processes for controlling the amount of air blown in the bioreactor 312 through the air blower 303. FIG. Calculate the expected oxygen consumption by measuring the influent flow into the wastewater treatment facility, the DO concentration in the bioreactor, and the nitrate nitrogen concentration. In addition to the calculation results, the air supply amount is calculated in consideration of the oxygen transfer efficiency of the aeration device and the air temperature of the supplied air. The oxygen supply is reviewed and evaluated by fuzzy logic and control techniques in comparison with the estimated air supply and the current operating air supply, thus controlling the air blower. FIG. 6 is a view showing a detailed procedure for controlling the waste sludge pump 304. FIG. Of biological water temperature, pH and DO concentration, the effluent from the aeration tank of the reactor as shown in Figure 6 NH _4, ammonium saturation coefficient (K _nh), in the endogenous respiration rate, distribution image number (K _O2) of microorganisms measured and derived by the current process Lt; RTI ID = 0.0 > SRT < / RTI > Considering the SRT currently in operation and the MLSS in the reactor and sludge based on the calculated SRT as well as the computed SRT, the fission logic and the management technique in the nitrification review and evaluation phase, And controls the sludge pump 304 to adjust the excess sludge discharge amount.

FIG. 7 is a view showing a detailed procedure for controlling the coagulating precipitant feed pump 305. FIG. As shown in FIG. 7, the influent flow into the wastewater treatment facility and the PO ₄ -P in the effluent are measured to predict the amount of flocculant settling agent required for phosphorus removal. The PID controller for calculating the control target and the deviation and setting the control amount in proportion to the deviation controls the coagulating precipitant input pump 305 to control the coagulating precipitant input amount.

8 is a detailed process for controlling the external carbon source injection pump 306. FIG. As shown in FIG. 8, the external carbon source amount is controlled by controlling the external carbon source injection pump 306 by the PID controller by measuring the inflow flow rate, the inflow BOD concentration, and the NOx in the effluent water.

9A is a view showing a detailed procedure for controlling the flocculant injection pump. As shown in FIG. 9A, the influent flow rate to the water treatment plant, the SS of the influent water, and the water temperature are measured to predict the amount of the flocculant. The control amount is controlled by controlling the coagulant injection pump by a PID controller which calculates the control target and the deviation and sets the control amount in proportion to the deviation.

FIG. 9B is a view showing a detailed procedure for controlling the chemical injection pump necessary for cleaning. FIG. As shown in FIG. 9B, the filter paper of the water treatment plant, especially the membrane filtration, periodically needs to be cleaned depending on the condition of the filter paper, and chemical cleaning is performed by injecting chemicals necessary for cleaning. The membrane condition is diagnosed based on the SS concentration in the filter paper, the flux value, and the pressure value before and after the membrane, and the cleaning cycle is calculated. At this time, when performing chemical cleaning or chemical cleaning depending on the film condition, the chemical feed pump is controlled to control the filtration membrane when chemical cleaning is performed.

9C is a view showing a detailed procedure for controlling the water pump. As shown in FIG. 9c, the pump scheduling is calculated in the process operation management system based on the demand forecast of the customer, the water level of the drainage pipe, the pump operation time, and the power source unit, and the water pump is controlled in the water pump station.

Thus, in accordance with the purpose of the present invention, data on wastewater treatment facilities such as water quality, operating conditions, and facilities are received in real time, data is corrected, and corrected data is processed using statistical techniques, fuzzy logic, Analysis, diagnosis and prediction. In the case of the sewage treatment facility, the amount of raw sludge in the first settling tank 311, the dissolved oxygen amount in the biological treatment tank 312 , The amount of surplus sludge of the second settling tank 313, the amount of coagulating precipitant and the amount of external carbon source, the amount of coagulant injected in the coagulation / sedimentation tank in the case of a water treatment facility, the amount of chemical injected into the filter paper and the amount of water transferred to the reservoir, And controls integrated instrumentation measurement.

The features and effects of the integrated instrumentation control system according to the present invention will now be described.

It is difficult to consider the water quality fluctuation due to the variable and variable nature of the inflow water flowing into the water treatment facility. Therefore, in the present invention, the reliability of the prediction and diagnosis of the process state is improved through various statistical analysis and simulation, and a corresponding strategy according to the situation of each water treatment facility is set up so that, in the case of the sewage treatment facility, 311), the amount of air blown in the aeration tank (312), the amount of sludge drawn in the second settling tank (313), the amount of coagulating precipitant and the amount of external carbon source, the amount of coagulant injected in the flocculation / , The amount of chemical feed of the filter paper, and the amount of water to the reservoir are controlled flexibly and efficiently, thereby effectively controlling the integrated operation of the complex water treatment facility.

In particular, the primary settling tank 311 serves as a pretreatment for treating contaminants in a water treatment facility, and has a purpose of separating solids by precipitating suspended solids having relatively large specific gravity for stable treatment efficiency. The amount of raw sludge, which is a separate solid, is regulated by the raw sludge pump 304. If the solids in the primary settling tank 311 are not removed and a large amount is introduced into the biological reaction tank 312 as the next process, the load of the biological treatment process is increased and the capacity of the biological reaction tank 312 as a subsequent treatment facility is increased , Or it costs a lot of money to process it. Therefore, controlling the amount of raw sludge is a relatively easy and important factor for the stable treatment efficiency of the water treatment facility.

In the aeration tank of the biological reaction tank (312), air is blown into the water to maintain dissolved oxygen in the reaction tank. In this environment, the aerobic microorganisms are used to adsorb and remove the organic substances in the sewage, so that the dissolved oxygen amount plays a pivotal role in the water treatment facility including the biological reaction tank 312. In the present invention, the dissolved oxygen concentration and the critical oxygen concentration are calculated by using an in-line respirometer. The activity of the microorganism is drastically decreased below the critical oxygen concentration, but the removal efficiency of the wastewater contaminant is drastically decreased. However, Lt; RTI ID = 0.0 > activity. ≪ / RTI > Therefore, since the increase of the dissolved oxygen concentration does not increase the efficiency, the amount of dissolved oxygen in the reaction tank should be maintained at a condition higher than the critical oxygen concentration in order to reduce unnecessary operation cost waste due to a large amount of air blowing.

Some of the sludge generated in the second settling tank 313 is returned to the bioreactor 312 and part of the sludge generated in the second settling tank 313 is returned to the second settling tank 313 as excess sludge Discarded and processed independently. The amount of sludge produced is controlled by controlling the amount of surplus sludge through the surplus sludge pump, which directly affects the sludge retention time (SRT) in the biological treatment plant. SRT means the time during which the sludge present in the treatment plant such as the biological reaction tank 312 and the secondary sludge conveying sludge 313 remains in the entire system. SRT determines whether or not the proliferation of a specific microorganism in the activated sludge is possible, This is an important factor because it can be used not only to predict the amount of surplus sludge required for sewage treatment plant design but also to estimate organic matter removal and nitrification reaction. Particularly, when the flow rate is low, the activity of the microorganisms is reduced due to the long residence time, so that the organic matter removal and the nitrogen removal efficiency are lowered, and when the water temperature is lower than 10 degrees, the nitrification rate is rapidly lowered. To control the SRT.

In addition, chemical reagents such as coagulation precipitants and external carbon sources are added to the biological reaction tank 312 to effectively remove phosphorus and nitrogen. For effective phosphorus removal, coagulation precipitants such as aluminum sulfate, ferrous sulfate, and ferric chloride are used. In order to increase the denitrification effect for nitrogen removal, chemicals such as acetic acid and methanol are injected with external carbon source do. However, it is important to calculate the minimum amount of the chemical to be automatically controlled, because the undesirable input of such a chemical causes waste of processing efficiency and waste of unnecessary chemicals.

Accordingly, the state suitable for each water treatment facility and the situation is determined and a driving strategy is set up accordingly. In the case of a sewage treatment facility other than a single control factor, the amount of raw sludge of the primary settling tank 311, The amount of sludge drawn in the second settling tank 313, the amount of coagulating precipitant and the amount of external carbon source, the amount of coagulant injected in the coagulation / sedimentation tank, the amount of chemical injected into the filter paper, Efficient control of pollutants in complex water treatment facilities.

As described above in detail, the real-time process diagnosis and integrated control system according to the present invention analyzes and diagnoses the operation state of the water treatment facility in real time and provides it to the operator. In the case of the sewage treatment facility, the amount of raw sludge in the first settling tank 311, the amount of dissolved oxygen in the biological treatment tank 312, the amount of excess sludge in the second settling tank 313 , The amount of coagulating sedimentation agent and the amount of external carbon source, the amount of coagulant injected in coagulation / sedimentation tank, the amount of chemical injected into filter paper, and the amount of water sent to the reservoir in the case of water treatment plant, It is possible to save the time required to cope with the problem, increase its reliability, and be easy to use objectively even if it is not a professional driver who has a lot of experience and knowledge. In addition, by providing the necessary sensors and software, the system can be applied to various wastewater treatment facilities, and it is possible to automate the state identification, diagnosis, prediction, and control of the facility, It is effective to operate the water treatment facility more stably.

Meanwhile, the integrated instrumentation and control system of the water treatment facility may further include a power supply device that performs an extension line or a multi-tap function so that control can be performed even in the absence of a battery. Preferably, such a power supply may be included in the control system.

Hereinafter, the power supply will be described in more detail.

10 is a block diagram showing an electrical configuration of a power supply apparatus 1000 provided in an integrated instrumentation control system of a water treatment facility according to an embodiment of the present invention.

10, the power supply apparatus 1000 mainly includes an AC input power source 1020 connected to the grid 1010 and an AC output outlet 1040 connected to the load 1030 (i.e., the control system) The power line extension unit 1100 and the battery module 1200 are connected in parallel to each other.

Specifically, the power line extension unit 1100 includes a power line 1110 provided between the AC input power source 1020 and the AC output receptacle 1040, and a first switch 1120 provided on the power line 1110 do.

The battery module 1200 may be connected in parallel to the power line extension part 1100 and may be charged from the AC input power source 1020 or discharged through the AC output receptacle 1040.

The present power supply apparatus 1000 is connected to the power line extension unit 1100 and the battery module 1200 so that the alternating current power is supplied to the alternating current output socket 1100 through the power line extension unit 1100 and / And output to the load 1030 via the relay 1040. [

That is, when the relay 1300 stops supplying the current from the AC input power source 1020 to the load 1030 through the output receptacle 1040, the relay 1300 outputs the load 1030 from the battery module 1200 through the output receptacle 1040, To perform the current supply. This relay 1300 may include, for example, but is not limited to, a two-input one output relay 1300. [

The present power supply apparatus 1000 is connected between the relay 1300 and the AC output receptacle 1040 so that AC power is disconnected from the power line extension unit 1100 and AC power is applied through the battery module 1200 And a capacitor 1400 that maintains the potential when it is turned on.

The battery module 1200 includes a second switch 1210 connected to the AC input power source 1020, an AC DC converter 1220 connected to the second switch 1210, a battery protection circuit monitoring system (not shown) connected to the AC DC converter 1220 A battery 1240 connected to the battery protection circuit monitoring system 1230, a DC AC inverter 1250 connected to the battery 1240 and a boost circuit 1260 connected between the DC AC inverter 1250 and the relay 1300 ).

Here, the second switch 1210 is turned on in a steady state (non-operating state) to cause the battery 1240 to be charged, and the AC DC converter 1220 converts the AC power to DC power and the battery protection circuit monitoring system 1230 The battery 1240 may be a rechargeable lithium ion battery or a lithium polymer battery and the DC AC inverter 1250 may be a battery (not shown) 1240 to an alternating current available to the load 1030 and the step-up circuit 1260 boosts the voltage of the battery 1240 to a voltage required by the load 1030.

11 is a plan view and a front view showing a mechanical configuration of the power supply apparatus 1000 of Fig.

11, the power supply apparatus 1000 includes a power supply line extension unit 1100, a battery module 1200 and a relay 1300. The battery module 1200 is detachably coupled, The first switch 1120 includes a housing 1000h having an AC output receptacle 1040 at one end to be coupled to protrude outward. In Fig. 11, the receptacle 1040 is shown in a form that is viewed from the side formed on the side of the housing 1000h.

The power supply apparatus 1000 further includes a cover 1000c coupled to the housing 1000h and covering the battery module 1200 so as to press the first switch 1120 to turn on the first switch 1120 can do. That is, when the lid 1000c is coupled to the housing 1000h so as to cover the battery module 1200, the first switch 1120 is turned on by the first switch 1120 being pressed. Of course, when the lid 1000c is separated from the housing 1000h to open the battery module 1200, the first switch 1120 is protruded by an elastic member or the like, thereby turning off the first switch 1120. [ That is, in the embodiment of the present invention, when the first switch 1120 coupled to the housing 1000h is turned on and the lid 1000c is disconnected from the housing 1000h, the first switch 1120 is turned Off.

The lid 1000c is coupled to the housing 1000h on one side in a hinge manner and is rotated around the hinge to cover the battery module 1200 or to be formed on the housing 1000h which is the periphery of the battery module 1200 in a sliding manner So that the battery module 1200 can be covered.

In addition, the lid 1000c is further formed with a rubber sealing ring 1000s along its periphery, so that moisture does not penetrate the battery module 1200.

As described above, the power supply device 1000 can be miniaturized and simplified as an industrial device, and can be easily used in a simple operation as a form of a charger that can be contacted in everyday life. In the event of an anomalous phenomenon, it is possible to perform simple replacement and function of extension line or multi-tap in the absence of a battery in a manner that operates even if there is no battery.

12 is a waveform diagram showing the waveform of the DC AC inverter 1250 at the time of AC input power supply interruption. Where a is the output voltage of the present inverter 1205, b is the output voltage of the inverter according to the prior art, and c is the AC input voltage. In Fig. 12, the X-axis represents time and the Y-axis represents phase.

More specifically, in Fig. 12, when a power failure occurs at Ta time, c) the waveform shows the AC input voltage that has been cut off, and b) the waveform shows that the output waveform breaks during the half- A) waveforms are waveforms that are switched in a non-stepless manner without interruption when the present direct current AC inverter 1250 is used. That is, the power supply apparatus 1000 can be supplied with the voltage / current through the AC output receptacle 1040 to the load 1030 without interruption during the switching time.

For this purpose, the present power supply apparatus 1000 continues to operate in the current control mode without turning off the switch (IGBT or FET) of the DC AC inverter 12 at the time of detection of the abnormality of the AC input power source 102, Is operated and is switched to the voltage control mode when the power supply extension unit 10 is completely disconnected.

Thus, even when the low-speed relay 1300 is used, the present DC AC inverter 1250 does not take a long time to switch. In other words, the present direct current AC inverter 1250 supplies a seamless power supply having a switching time of zero (0). The DC-AC inverter 1250 is a technology that satisfies both the SOHO capability and the switching time as the relay 1300, and can be widely used in a system such as an ESS as well as a UPS.

We explain this in more detail.

13A to 13C are block diagrams showing control flows of respective sections of the DC AC inverter 1250 in the power supply apparatus 1000 of FIG.

13A illustrates the operation of the Ta-section in FIG. 12, FIG. 13B illustrates operation of the Ta-Tb section in FIG. 12, and FIG. 13C illustrates operation of the section after Tb in FIG. FIG.

First, as shown in FIG. 13A, the present direct current AC inverter 1250 may include a current controller 1250a and a phase locked loop 1250b.

The DC-AC inverter 1250 is a current control mode for charging (or discharging from the AC input power source 1020) the AC input power source 1020 before Ta time (that is, before abnormal detection of the AC input power source 1020) (Operation).

To this end, current controller 1250a preferably utilizes a current of zero or load 1030 as a current reference, which can be adjusted through tuning in a direction that minimizes the transient state of the voltage waveform.

The phase locked loop 1250b also plays a role in obtaining the components of the phase sin? T and the magnitude V from the voltage Vg of the AC input power source 1020 before the abnormality detection of the AC input power source 1020. [

In addition, the DC AC inverter 1250 sums the value (Dn = V sin? T) obtained by multiplying the output value Dp of the current controller 1250a by the phase and size acquired through the phase locked loop 1250b, So that the reference (D = Dn + Dp) is determined.

13B, in the transient state period in which the relay 1300 is turned off from the Ta point to the Tb point after detection of the abnormality of the AC input power source 1020, the DC / AC inverter 1250 receives the AC input power source 1020 The phase locked loop 1250b is stopped by the voltage Vg of the AC input power source 1020 and the free running of the phase locked loop 1250b ) To obtain the phase (sin? T) of the voltage through the phase of the voltage (Vr), and generates the magnitude (Vr) of the voltage at the magnitude of the rated voltage.

Further, the DC AC inverter 1250 obtains a value (Dn = Vr sin? T) obtained by multiplying the phase (sin? T) of the voltage by the magnitude (Vr) of the rated voltage. In addition, the DC AC inverter 1250 adds the value (Dn = Vr sin? T) obtained by multiplying the output value Dp of the current controller 1250a by the phase obtained as described above to obtain the final output voltage reference (D = Dn + Dp) is determined.

Finally, as shown in FIG. 13C, the DC AC inverter 1250 further includes a voltage controller 1250c. The DC-AC inverter 1250 operates the DC-AC inverter 1250 in the voltage control mode after the relay 1300 is turned off (after the Tb time) to supply power to the load 1030 through independent operation.

At this time, the DC AC inverter 1250 uses the value (V0 * = Vr sin? T) obtained through free-running of the phase locked loop 1250b as the reference D of the voltage controller 1250c.

As described above, according to the embodiment of the present invention, when the AC input power source 1020 is abnormally generated in the DC to AC inverter 1250 and the AC input power source 1020 is shut off and the battery module 1200 is switched to the independent operation And the switching time to be zero is made zero, thereby enabling seamless switching without any interruption. Here, even though the low-speed circuit breaker such as the relay 1300 (or the breaker) is used, the switching time can be set to zero, so that the power supply device 1000, which requires a short switching time of about 4 mS, The problem can be solved. That is, by not using a semiconductor circuit breaker such as SCR, it is possible to fundamentally solve the risk burden due to failure of the SCR semiconductor circuit breaker.

Meanwhile, the air blower may be coated with a corrosion-resistant coating layer made of a coating composition for improving corrosion resistance and stain resistance.

This coating composition was prepared by mixing 100 parts by weight of a water-soluble resin composition prepared by mixing 80% by weight of resorcinol diglycidyl ether and 20% by weight of propanol amine, And 1 to 10 parts by weight of hexamethylated-hexamethylol melamine.

The present invention utilizes the properties of resorcinol diglycidyl ether such as excellent chemical resistance and dimensional stability, corrosion resistance of propanolamine, and excellent lubrication characteristics of melamine derivatives to prevent corrosion of air blower which is more environmentally friendly Can be formed.

The method of applying such a coating composition for anti-corrosion is preferably applied to the surface of the air blower such that the dry film thickness is 10 to 30 占 퐉.

If the dry film thickness is less than 10 mu m, the service life can be shortened. If the dry film thickness is more than 30 mu m, there is no problem in function, but the economic advantage is reduced.

In addition, the air blower coated with the coating composition for preventing non-woven is air-dried for 10 to 30 minutes and then cured at 100 to 200 ° C, preferably 150 to 180 ° C for 10 to 50 minutes to obtain a non- It is possible.

In addition, since the metal case of the control system is coated with a fragrance material having a function of treating respiratory diseases, etc., it exhibits effects for restoring fatigue and improving health of the user.

97중량%에 기능성 오일 3

5중량%가 혼합되며, 기능성 오일은, 헬리크라이섬 오일(Helichrysum oil) 50중량%, 패치올리 오일(Patchouli oil) 50중량%로 이루어진다.On the other hand, a perfume oil may be mixed with the perfume material,

97% by weight of Functional Oil 3

5% by weight, and the functional oil is composed of 50% by weight of Helichrysum oil and 50% by weight of Patchouli oil.

5중량%가 혼합되는 것이 바람직하다. 기능성 오일의 혼합비율이 3중량% 미만이면, 그 효과가 미미하며, 기능성 오일의 혼합비율이 3

5중량%를 초과하면 그 기능이 크게 향상되지 않는 반면에 제조 단가는 크게 증가된다.Here, the functional oil contains 3

And 5% by weight are preferably mixed. If the mixing ratio of the functional oil is less than 3 wt%, the effect is insignificant, and if the mixing ratio of the functional oil is 3

If it exceeds 5% by weight, the function is not greatly improved, but the manufacturing cost is greatly increased.

Among the functional oils, helichrysum oil is one of the main chemical elements such as nerol, geraniol, linalol, and has a good effect on antibacterial, antibacterial, antiseptic, antiallergic and anti-inflammatory.

 Patchouli oil oil is mainly composed of patchouliene, eugenol, carvone, etc. It has excellent effect on sterilization, preservation, anti-inflammation and skin inflammation treatment.

As the functional oil is coated on the case of the control system, it contributes to the recovery of the user's fatigue and the health promotion.

As described above, the present invention is not limited to the above-described embodiment, but may be applied to a system for controlling the integrated instrumentation of the water treatment facility according to the present invention. It will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention.

Claims (4)

A database design and construction system for collecting and storing at least one of measurement data, numerical analysis data, and facility data for a water treatment facility;
The process of diagnosing the state of the process by applying at least one of statistical analysis, fuzzy reasoning, material balance, and process simulation to the data stored in the database design and construction system and presenting the decision and operation strategy accordingly Support system; And
In the case of the sewage treatment facility, the amount of raw sludge of the primary settling tank through the control of the raw sludge pump, the air blowing amount of the bioreactor through the control of the air blower, The amount of coagulant settled by control, the amount of external carbon source through control of external carbon source injection pump, the amount of surplus sludge through control of waste sludge pump, the amount of coagulant injected in mixed / coagulated soil in the case of water treatment plant, And a control system for performing control on at least one of a chemical quantity, a transfer quantity of the transfer pump from the settlement to the reservoir,
The control system includes a power supply unit that performs an extension line or a multi-tap function so that control can be performed even when the battery is not in use,
A power line extending unit including an AC input power source, an AC output receptacle, a power line provided between the AC input power source and the AC output receptacle, and a first switch provided on the power line;
A battery module connected to the power line extension unit in parallel; And
And a relay connected to the power line extension unit and the battery module to output AC power to the load through the AC output receptacle through the power line extension unit or the battery module,
The battery module includes a second switch connected to the AC input power source, an AC DC converter connected to the second switch, a battery protection circuit monitoring system connected to the AC DC converter, a battery connected to the battery protection circuit monitoring system, A DC AC inverter, and a boost circuit connected between the DC AC inverter and the relay,
And a result display system having an alarm generating unit for informing the abnormal state of the process in advance and a result transmitting unit for displaying the predicted result and the driving strategy to the driver,
The database design and construction system includes a data correction unit for correcting and storing abnormal data by removing an ideal value for input data,
The control system
The amount of primary sedimentation sludge was estimated by measuring the influent flow into the wastewater treatment facility, the influent TSS concentration, and the concentration of sludge TSS in the primary settling tank, and the calculated information was compared with the final target TSS removal rate in the wastewater treatment facility Based on the number of sludge pull-outs, fuzzy logic and control method are used to evaluate the amount of sludge generated. The result of the evaluation is used to control the raw sludge pump,
The estimated oxygen consumption was calculated by measuring the influent flow rate into the wastewater treatment facility, the DO concentration in the bioreactor, and the nitrate nitrogen concentration. Based on the calculation results and the oxygen transfer efficiency of the aerator and the temperature of the supplied air, Estimating the amount of oxygen supplied by the fuzzy logic and control technique in comparison with the estimated air supply and the current air supply, controlling the air blower according to the evaluation result,
The bioreactor temperature and pH and DO concentration in the aeration tank, and the NH _4, ammonium saturation coefficient (K _nh) in the effluent, the endogenous respiration of the microorganisms and the number distribution image (K _O2) for the measurement, and deduced from the current process The SRT for nitrification of the secondary settling tank is calculated, and based on the SRT currently being operated and the MLSS in the reactor and sludge, based on the design SRT of the process together with the calculated SRT, Controlling the sludge pump to regulate excess sludge emissions,
A PID controller is used to predict the amount of coagulant settling agent required to remove phosphorus by measuring the influent flow into the wastewater treatment facility and the effluent water by measuring PO ₄ -P, and calculating the control target and deviation to control the amount proportional to the deviation. Control the input pump to control the amount of coagulating precipitant input,
The external carbon source injection amount is controlled by controlling the external carbon source injection pump by the PID controller based on the evaluation result,
Controlling the amount of injected water by controlling the coagulant injection pump by PID controller that predicts the amount of flocculant required by measuring inflow flow rate into the water treatment plant, SS of inflow water and water temperature, calculates control target and deviation, and sets control amount in proportion to the deviation In addition,
In order to periodically clean the filter paper according to the condition of the filter paper of the water treatment plant, the concentration of SS in the filter paper, the flux value, and the pressure value before and after the membrane are measured, , The chemical filter is controlled to control the filtration membrane when the chemical cleaning is performed,
The demand forecasting quantity of the customer, the water level of the reservoir, the pump operation time, and the power source unit are calculated. Based on this, the pump operation scheduling is calculated in the process operation management system,
The air blower is coated with an anti-corrosive coating layer made of a coating composition for improving corrosion resistance and stain resistance, which comprises 80% by weight of resorcinol diglycidyl ether and propanol amine, 1 to 10 parts by weight of hexamethylated-hexamethylol melamine relative to 100 parts by weight of a water-soluble resin composition prepared by mixing 1 to 20%
The case of the metallic material of the control system is coated with a perfume material, and the perfume material may be mixed with the functional oil,

97% by weight of Functional Oil 3

And 5% by weight of a functional oil, and the functional oil is composed of 50% by weight of Helichrysum oil and 50% by weight of Patchouli oil. delete The method according to claim 1,
Wherein the DC AC inverter is operated in a current control mode for a first predetermined time after AC power of the battery module via the relay is output through the AC output receptacle and operates in a voltage control mode after the first time Integrated instrumentation measurement and control system that features. The method of claim 3,
Wherein the direct current AC inverter further comprises a current controller, the current controller uses zero or the current of the load as a current reference,
Wherein the DC AC inverter further includes a phase locked loop, wherein the DC AC inverter calculates a phase (sin? T) and a magnitude (?) From the voltage (Vg) of the AC input power source before the abnormality detection of the AC input power source V), and a final output voltage reference (D = Dn + Dp) is determined by summing a value (Dn = V sin? T) obtained by multiplying the output value Dp of the current controller by the phase and size,
The DC-AC inverter stops the operation of the phase-locked loop until the AC input power source and the output receptacle are disconnected after an abnormality of the AC input power source is detected. The free-running of the phase- (Dn '= Vr sin &ohgr; t) obtained by multiplying the output value (Dp) of the current controller by the phase and the size is summed up to obtain a phase (sin? T) The output voltage reference (D '= Dn' + Dp) is determined,
The DC AC inverter further includes a voltage controller, and the DC AC inverter calculates a value (Vr sin &ohgr; t) obtained through free-running of the phase locked loop after the AC input power source and the output outlet are disconnected Is used as a reference (D) of the voltage controller.

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