CN115759804A - Method for analyzing health state of filter in real time - Google Patents
Method for analyzing health state of filter in real time Download PDFInfo
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- CN115759804A CN115759804A CN202211253936.6A CN202211253936A CN115759804A CN 115759804 A CN115759804 A CN 115759804A CN 202211253936 A CN202211253936 A CN 202211253936A CN 115759804 A CN115759804 A CN 115759804A
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Abstract
The invention discloses a method for analyzing the health state of a filter tank in real time, which evaluates the change trend of the subsequent operation state of the filter tank by storing and analyzing a plurality of groups of data of the filter tank through a controller, provides a reference basis for the automatic dynamic adjustment of the periodic flushing of the filter tank, reduces the excessive flushing under the conditions of low water flow and low turbidity at the front end of the filter tank, provides a reference basis for reasonably planning a plurality of groups of filter tank flushing queues for a control system and operation and maintenance personnel, prevents the plurality of groups of filter tanks from queuing for flushing, improves the operation efficiency of the filter tank system, ensures the overall safety of the operation of the filter tank system of a water plant, and reduces the operation pressure of a sludge water system of the water plant.
Description
Technical Field
The invention relates to the technical field of filter flushing control, in particular to a method for analyzing the health state of a filter in real time.
Background
A water plant is provided with a plurality of groups of same filter tanks, the filter tanks share one set of flushing system, and only one filter tank is allowed to be flushed at the same time. The classical filter flushing control mode mainly comprises manual application and periodic triggering, and the multiple groups of filter flushing applications are queued preferentially according to application time. At present, the period trigger setting is fixed after being manually set by operation and maintenance personnel, the system cannot automatically and dynamically adjust according to the water coming from the front end of the filter tank, and the period trigger parameter manually set by the operation and maintenance personnel has no reference basis because the operation state of the future time node of the filter tank cannot be predicted through real-time data. On the other hand, as a queuing mechanism exists in the filter tank flushing, the condition that a plurality of groups of filter tanks need to be flushed is easy to occur, but the system characteristics determine that only a single group of filter tanks can be flushed, at the moment, the low efficiency of the plurality of groups of filter tanks in the whole filter tank system influences the normal production of a water plant, and the concentrated continuous flushing of the plurality of groups of filter tanks generates larger pressure on the operation of a subsequent sludge water system.
For example, in chinese patent CN112001612A, published as 11/07/2020/11/disclosed, the present invention discloses a queuing method for backwashing queues of multiple filter tanks in a water plant, which judges whether backwashing is needed or not according to the conditions of manual operation, turbidity, head loss, timing, etc., and then determines the priority of backwashing of each filter tank according to these conditions. However, the invention can not adjust the backwashing time of the filter according to the real-time operation state of the filter, which is not beneficial to the operation of the filter system.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: unreasonable filter flushing time arrangement and high operation pressure of a filter system of a water plant. The method for analyzing the health state of the filter tank in real time can monitor the operation state of the filter tank in real time, provide reference basis for automatic dynamic adjustment of periodic flushing of the filter tank, prevent the condition that a plurality of groups of filter tanks wait for flushing in a queuing manner, improve the operation state of a filter tank system and ensure the overall safety of the operation of the filter tank system of a water plant.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows: a method for analyzing the health state of a filter in real time comprises the following steps:
s1, acquiring and storing initial values of various data by a controller, and detecting the operation state of a filter;
s2, after the controller detects that the filter tank is washed, the controller controls the filter tank to enter a constant liquid level water production state;
s3, the controller detects that the filter is stable in a constant liquid level water production state, initializes and stores data, and calculates an initial health state index of the filter;
s4, timing by the controller, and recording a group of data at the same time interval;
s5, establishing a filter health state real-time analysis model according to the recorded data;
s6, the controller predicts the filter health state index at a certain future moment by using a Lagrange interpolation method by using a plurality of groups of data closest to the current moment;
s7, circularly solving by the controller by using a Lagrange interpolation method to obtain the corresponding filter operation time when the filter health state index is 0;
and S8, arranging the filter washing time according to the corresponding filter operation time when the obtained filter health state index is 0.
A method for real-time analyzing the health state of filter pool includes such steps as monitoring the running state of filter pool by controller, collecting the data including the accumulated flow data Q of raw water flowmeter, the turbidity data N of water outlet turbidity meter, the liquid level data L of liquid level meter and the opening data V of water outlet regulating valve, calculating the initial health state index, substituting the data in the real-time analysis model, calculating the health state index of filter pool, and regulating the flushing time of filter pool by controller.
Preferably, the filter initial state of health index solving process includes: after the filter tank enters a constant water level water production state and is stable, the controller stores the opening data V of the water outlet regulating valve of the current filter tank 0 Accumulated flow data Q of raw water pipeline flow meter 0 (ii) a Calculating the initial health state index H of the filter:
wherein V is the initial value of the opening data of the water outlet regulating valve of the filter. And obtaining an initial health state index H of the filter tank according to various initial values of data acquired by the controller and data when the filter tank enters and stabilizes a constant water level water production state, wherein the unit is%.
Preferably, the step S4 comprises the step of collecting and storing a group of data every 30 minutes, wherein the data comprises the accumulated flow data Q of the raw water pipeline flow meter n And the turbidity N of the effluent of the sedimentation tank n And n is the time for acquiring data, the time is started after the filter enters a constant water level water production state and is stable, and n =1,2,3. And S4, the timing time interval adopted by the controller can be changed according to the actual situation, the n value of the etching which is stable when the filter enters a constant water level water production state is set to be 1, and then the controller adds 1 to the n value every time one group of data is recorded.
Preferably, the real-time analysis model of the health state of the filter is as follows:
wherein H (n) is the filter health state index at the required moment, Q n The accumulated flow of the water coming from the front end of the filter chamber at the required moment Q n-1 The accumulated flow of the water coming from the front end of the filter at the previous moment is N n Turbidity of the effluent of the sedimentation tank at the desired moment, N 0 The effluent turbidity of the sedimentation tank is in the initial state of the filter tank, and n is the required time. The first three groups of H (n) data recorded by the controller are directly given by the controller, that is, the values of H (n) at the time n =, n =2 and n =3 are known numbers, and a, b, c and d in the equation are constants, and the values can be obtained according to the known three values of H (n).
Preferably, the process of obtaining the filter health status index at a future time includes:
selecting data of four moments nearest to the current moment, wherein the four moments are respectively set as n 1 、n 2 、n 3 、n 4 (ii) a Respectively substituting the four groups of data into a filter health state real-time analysis model to obtain corresponding filter health state indexes; substituting the obtained filter health state index into a Lagrange interpolation method to obtain the following formula:
wherein, H (n) 1 )、H(n 2 )、H(n 3 )、H(b 4 ) Are each n 1 、n 2 、n 3 、n 4 And H (n) is the health state index of the filter at the future moment. And substituting the filter health state index obtained by the filter health state real-time analysis model into a Lagrange interpolation formula to obtain a specific numerical value of H (n).
Preferably, the step S7 includes: solving to obtain the filter health state indexes H (n) at all future moments through the step S6; obtaining the value of n when the filter health state index H (n) = 0; obtaining the maximum water production time n at which the filter tank can normally filter the produced water max . The specific numerical value of the filter chamber health state index at a certain moment is obtained through a Lagrange interpolation formula, and the numerical value is substituted into the Lagrange interpolation formula again to obtain the filter chamber health state index at the next moment, so that the time numerical value of the filter chamber health state index at 0 moment can be obtained through the cyclic solution, and the time is the maximum water production time when the filter chamber can normally filter the produced waterAt any moment, due to the influence of some external factors, the maximum water production time at which the filter tank can normally filter water production, which is obtained according to the data collected by the controller, is slightly changed every moment, so that the maximum water production time at which the filter tank can normally filter water production needs to be obtained again every moment.
Preferably, the arrangement of the filter flushing time in the step S8 comprises the following steps: the controller is used for producing water according to the maximum water production time n max Automatically adjusting the periodic flushing parameters of the filter; the controller enables the maximum water production time n max And the current filter health state data are provided for operation and maintenance personnel; the operation and maintenance personnel refer to the maximum water production time n max And finely adjusting the flushing time of the filter tank according to the current health state of the filter tank. Because the filter tank can normally filter the maximum water production time of the produced water and slightly changes every moment, the controller can also adjust the periodic flushing parameters of the filter tank in real time, and operation and maintenance personnel can also perform some fine adjustment according to the data, thereby ensuring the service efficiency of the filter tank.
The substantial effects of the invention are as follows: the invention designs a method for analyzing the health state of the filter tank in real time, which can predict the maximum water production time when the filter tank can normally filter produced water according to various filter tank data acquired by a controller in real time, and then adjust the flushing time of the filter tank according to the change of the predicted data, thereby effectively improving the flushing efficiency of the filter tank and avoiding the phenomenon that the working of the whole water purification system is influenced by the simultaneous flushing of a plurality of filter tanks.
Drawings
FIG. 1 is a schematic flow chart of an embodiment;
FIG. 2 is a structural view of the filter according to the embodiment.
Wherein: 1. the method comprises the steps of (1) installing a raw water pipe flowmeter, 2 installing a sedimentation tank effluent turbidity meter, 3 installing a filter effluent regulating valve, 4 installing a filter liquid level meter, 5 installing a filter structure, 6 installing a sedimentation tank structure.
Detailed Description
The following description will further specifically explain embodiments of the present invention by referring to the accompanying drawings.
A method for analyzing the health status of a filter tank in real time, as shown in figure 1, the invention provides a data interface through a controller, and provides time data required when the filter tank is reduced to a certain health status index value to a flushing system so as to allow the flushing system to plan a plurality of groups of filter tank flushing schedules, thereby preventing the filter tank flushing congestion caused by the change of water coming from the front end of the filter tank in a classical control mode, ensuring the stable operation of a filter tank system of a water plant and reducing the operating pressure of a sludge water system of the water plant; the controller evaluates the maximum time n according to the model max The periodic flushing parameters of the filter tank are dynamically adjusted, the excessive flushing of the filter tank which is easy to occur in a classical control mode under the conditions of low water quantity and low turbidity is optimized, the operating cost of the filter tank is reduced, and the purposes of saving energy and reducing consumption are achieved; the time data required when the filter chamber is reduced to a certain health state index value is provided for operation and maintenance personnel so that the operation and maintenance personnel can know the current filter chamber health state and the subsequent filter operation time of the filter chamber, the frequency of active intervention and adjustment of the personnel is reduced, and the operation and maintenance cost of the personnel is reduced.
The health state analysis of the filter is divided into eight steps in total, S1, a controller collects and stores initial values of all data and detects the running state of the filter; s2, after the controller detects that the filter tank is flushed, the controller controls the filter tank to enter a constant liquid level water production state; s3, the controller detects that the filter tank is stable in a constant liquid level water production state, initializes storage data and calculates an initial health state index of the filter tank; s4, timing by the controller, and recording a group of data at the same time interval; s5, establishing a filter health state real-time analysis model according to the recorded data; s6, the controller predicts the health state index of the filter at a certain future moment by using a Lagrange interpolation method by using a plurality of groups of data closest to the current moment; s7, circularly solving by the controller by using a Lagrange interpolation method to obtain the corresponding filter operation time when the filter health state index is 0; and S8, arranging the filter washing time according to the corresponding filter operation time when the obtained filter health state index is 0.
The operation state of the filter is monitored in real time through a controller, various data of the filter are collected, the data comprise accumulated flow data Q of a raw water pipeline flow meter, turbidity data N of a sedimentation tank effluent turbidity meter, liquid level data L of the filter and opening data V of a filter effluent regulating valve, filtered initial health state indexes are obtained through the data, the data are substituted into a filter health state real-time analysis model to obtain the current filter health state index, the filter health state indexes at four moments nearest to the current moment are obtained, the filter health state index at a certain moment in the future is obtained through a Lagrange interpolation method according to the four filter health state indexes, the filter health state index is solved circularly, the moment when the filter health state index is 0 is obtained, the moment is the maximum operation state of the filter, the controller adjusts the arranged flushing time of the filter in real time according to the data, and operation and maintenance personnel can perform fine adjustment according to the data, and the operation efficiency of the filter is improved.
The data detected in the step S1 comprise accumulated flow data Q of a raw water pipeline flow meter, turbidity data N of a sedimentation tank effluent turbidity meter acquired by a controller, liquid level data L of a filter tank liquid level meter acquired by the controller and opening data V of a filter tank effluent regulating valve acquired by the controller.
And step S2, the detector can detect the running state of the filter tank in real time, and when the completion of the washing of the filter tank is detected, the filter tank is controlled to enter a constant liquid level water production state.
In step S3, when the controller detects that the filter tank enters a constant water level water production state and is stable, the controller clears the data stored before, and stores the opening data V of the water outlet regulating valve of the current filter tank again 0 And the accumulated flow data Q of the raw water pipeline flow meter 0 Defining a real-time health state index H of the filter: (100-V)/(100-V) 0 )。
In step S4, the controller stores a set of data every 30 min: filter outlet regulating valve opening V n And the accumulated flow Q of the raw water pipeline flow meter n And the turbidity N of the effluent of the sedimentation tank n N =1,2,3, the value of n for the etch at which the filter enters a constant water level production state and is stable is set to 1, after which the controller adds 1 to the value of n for each set of data recorded.
The real-time analysis model of the health state of the filter in the step S5 is
In the formula, H (n) represents the health state index of the filter at the required moment, and the unit is; q n Is the accumulated flow of the water coming from the front end of the filter at a certain moment, and the unit is m 3 ；Q n-1 The accumulated flow of the water coming from the front end of the filter tank at the last moment is m 3 ；N n The turbidity of the effluent of the sedimentation tank at the required moment is expressed in NTU unit; n is a radical of hydrogen 0 The turbidity of the effluent of the sedimentation tank is in the initial state of the filter tank, and the unit is NTU; the first three groups of H (n) data that the controller starts to record are directly given by the controller, i.e. the values of H (n) at the times of n =, n =2 and n =3 are known numbers, and a, b, c and d in the equation are constants, which can be found from the known three values of H (n).
S6, the controller checks the number of the stored data, when the number of the data groups is more than 3, four groups of data closest to the current moment are selected, and the moments closest to the current moment are respectively set as n 1 、n 2 、n 3 、n 4 According to the filter health state index H at the required moment, the Lagrange interpolation method comprises the following steps:
that is, the health state index of the filter at the subsequent unknown time point can be calculated by the formula, wherein H (n) 1 )、H(n 2 )、H(n 3 )、H(n 4 ) Are each n 1 、n 2 、n 3 、n 4 And H (n) is the health state index of the filter at the future moment.
In the step S7, the step can be known that the filter can be judged to be incapable of meeting the requirement of filtering the produced water at the constant liquid level when the health degree of the filter is reduced to 0, the filter needs to be washed, and the controller circularly calculates the value n when the H approaches to 0, so that the maximum moment n when the filter can normally filter the produced water can be obtained max 。
In step S8, the controller calculates the maximum time n at which the filter tank can normally filter the produced water according to the S7 max And then the periodic flushing parameters of the filter tank are adjusted in real time according to the change of the numerical value, and operation and maintenance personnel can also receive the running state and the health state index of the filter tank and the maximum time n at which the filter tank can normally filter and produce water in real time max And operation and maintenance personnel can finely adjust the filter tank flushing according to the data, so that the operation efficiency of the filter tank is improved.
As shown in figure 2, raw water firstly passes through a sedimentation tank and then passes through a filter tank, a sedimentation tank structure 6 is arranged in the sedimentation tank, a filter tank structure 5 is arranged in the filter tank, a raw water pipe flowmeter installation position 1 is arranged in a raw water pipeline before the water comes from the sedimentation tank, a sedimentation tank water outlet turbidimeter installation position 2 is arranged in a pipeline between the sedimentation tank and the filter tank, a filter tank water outlet regulating valve installation position 3 is arranged in a filter tank water outlet pipeline, and a filter tank liquid level meter installation position 4 is arranged at a produced water constant liquid level position on the side wall of the filter tank.
The above examples only show several embodiments of the present invention, and the description thereof is specific and detailed, but not to be construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (7)
1. A method for analyzing the health state of a filter in real time is characterized by comprising the following steps:
s1, acquiring and storing initial values of various data by a controller, and detecting the operation state of a filter;
s2, after the controller detects that the filter tank is flushed, the controller controls the filter tank to enter a constant liquid level water production state;
s3, the controller detects that the filter tank is stable in a constant liquid level water production state, initializes storage data and calculates an initial health state index of the filter tank;
s4, timing by the controller, and recording a group of data at the same time interval;
s5, establishing a filter health state real-time analysis model according to the recorded data;
s6, the controller predicts the filter health state index at a certain future moment by using a Lagrange interpolation method by using a plurality of groups of data closest to the current moment;
s7, circularly solving by the controller by using a Lagrange interpolation method to obtain the corresponding filter operation time when the filter health state index is 0;
and S8, arranging the filter washing time according to the corresponding filter operation time when the obtained filter health state index is 0.
2. A method according to claim 1, wherein said filter initial health status index solving process comprises: after the filter tank enters a constant water level water production state and is stable, the controller stores the opening data V of the water outlet regulating valve of the current filter tank 0 And the accumulated flow data Q of the raw water pipeline flow meter 0 (ii) a Calculating the initial health state index H of the filter:
wherein V is the initial value of the opening data of the water outlet regulating valve of the filter.
3. The method for real-time analysis of the health status of a filter tank as claimed in claim 1, wherein the step S4 comprises collecting and storing a set of data every 30 minutes, wherein the data comprises accumulated flow data Q of a raw water pipeline flow meter n And the turbidity N of the effluent of the sedimentation tank n And n is the time for acquiring data, and timing is started after the filter tank enters a constant water level water production state and is stable, wherein n =1,2,3.
4. A method for real-time analysis of the health of a filter according to claim 1,2 or 3, wherein the model for real-time analysis of the health of a filter is:
wherein H (n) is the filter chamber health at the required momentIndex of state, Q n The accumulated flow of the water coming from the front end of the filter chamber at the required moment Q n-1 The accumulated flow of the water coming from the front end of the filter tank at the previous moment is N n Turbidity of the effluent of the sedimentation tank at the desired moment, N 0 The effluent turbidity of the sedimentation tank is in the initial state of the filter tank, and n is the required time.
5. A method for real-time analysis of filter health status according to claim 1, wherein the process of determining the filter health status index at a future time comprises:
selecting data of four moments nearest to the current moment, wherein the four moments are respectively set as n 1 、n 2 、n 3 、n 4 (ii) a Respectively substituting the four groups of data into the filter health state real-time analysis model to obtain corresponding filter health state indexes; substituting the obtained filter health state index into a Lagrange interpolation method to obtain the following formula:
wherein, H (n) 1 )、H(n 2 )、H(n 3 )、H(n 4 ) Are each n 1 、n 2 、n 3 、n 4 The health state index of the filter at the time, and H (n) is the health state index of the filter at the future time.
6. A method for real-time analysis of filter health status according to claim 1, wherein said step S7 comprises: solving to obtain the filter health state indexes H (n) at all future moments through the step S6; obtaining the value of n when the filter health state index H (0) = 0; obtaining the maximum water production time n at which the filter tank can normally filter the produced water max 。
7. A method for real-time analysis of filter health status according to claim 1, wherein the scheduling of filter flushing time in step S8 comprisesThe following steps: the controller is used for producing water according to the maximum water production time n max Automatically adjusting the periodic flushing parameters of the filter; the controller enables the maximum water production time n max And the current filter health state data are provided for operation and maintenance personnel; the operation and maintenance personnel refer to the maximum water production time n max And finely adjusting the washing time of the filter tank according to the current health state of the filter tank.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111320272A (en) * | 2020-04-02 | 2020-06-23 | 安徽华骐环保科技股份有限公司 | Multi-condition controlled automatic back-flushing device for denitrification biological filter and operation method thereof |
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2022
- 2022-10-13 CN CN202211253936.6A patent/CN115759804A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111320272A (en) * | 2020-04-02 | 2020-06-23 | 安徽华骐环保科技股份有限公司 | Multi-condition controlled automatic back-flushing device for denitrification biological filter and operation method thereof |
| CN111320272B (en) * | 2020-04-02 | 2023-11-03 | 安徽华骐环保科技股份有限公司 | Operation method of automatic backwashing device of multi-condition controlled denitrification biological filter |
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