CN118091072A - UVCOD sensor microorganism influence compensation method and system - Google Patents
UVCOD sensor microorganism influence compensation method and system Download PDFInfo
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- 238000009434 installation Methods 0.000 claims abstract description 77
- 238000012544 monitoring process Methods 0.000 claims abstract description 64
- 230000000813 microbial effect Effects 0.000 claims description 25
- 239000012530 fluid Substances 0.000 claims description 12
- 239000000243 solution Substances 0.000 claims description 12
- 230000004913 activation Effects 0.000 claims description 9
- 239000008213 purified water Substances 0.000 claims description 9
- 239000001963 growth medium Substances 0.000 claims description 7
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Abstract
The invention belongs to the technical field of water quality monitoring, and particularly discloses a UVCOD sensor microorganism influence compensation method and system, wherein the method comprises the following steps: obtaining a unit influence value of UVCOD sensor influenced by the maximum microorganism quantity in the unit sludge quantity; acquiring the number of microorganisms in the sludge based on the current covered sludge amount of the sensor installation cabin; calculating an influence value of microorganisms contained in sludge covered by the current sensor installation cabin on the UVCOD sensor; and correcting the monitored value C s of the UVCOD sensor by using the influence value of the microorganism on the UVCOD sensor to obtain a corrected monitored value. According to the invention, the measured value of the UVCOD sensor is corrected to obtain the corrected measured value, so that the measured value is more approximate to the true value, and the accuracy of water quality monitoring is improved.
Description
Technical Field
The invention belongs to the technical field of water quality monitoring, and particularly relates to a UVCOD sensor microorganism influence compensation method and system.
Background
The development of water quality monitoring technology has gone through several stages. The earliest water quality monitoring mainly relies on manual sampling and simple physicochemical analysis, and the method is low in efficiency and cannot reflect the water quality change in real time. With the development of technology, the automatic monitoring technology gradually replaces the traditional manual monitoring. The automatic monitoring technology can monitor the water quality in real time, provide more accurate data and monitor the water quality continuously for a long time. In recent years, with the rise of technologies such as the internet of things and big data, intelligent water quality monitoring becomes a new development trend.
The water quality monitoring technology can be classified according to different classification standards. According to the monitoring mode, the method can be divided into online monitoring and offline monitoring; according to the monitoring parameters, the monitoring parameters can be divided into physical parameter monitoring, chemical parameter monitoring and biological parameter monitoring; according to the monitoring object, it can be classified into wastewater monitoring, surface water monitoring, groundwater monitoring, and the like.
Different water quality monitoring technologies are suitable for different application scenes. The online monitoring technology is suitable for long-term continuous monitoring, such as monitoring of water quality of large-scale water bodies of rivers, lakes and the like; the off-line monitoring technology is suitable for monitoring specific purposes, such as pollution source investigation and the like. The physical parameter monitoring is mainly used for detecting visual indexes such as temperature, color and the like of the water body; the chemical parameter monitoring is used for detecting chemical indexes such as dissolved oxygen, ammonia nitrogen and the like; the biological parameter monitoring is used for detecting microorganism indexes such as bacteria, viruses and the like.
Water quality sensor data drift or anomaly refers to the phenomenon in which a sensor measurement gradually deviates from a true value over a period of time. Many factors contribute to data drift or anomalies, including electrode contamination, i.e., the electrodes of the sensor may be contaminated, such as biofouling, salting out, deposits, etc. These contaminants may affect the accuracy of the sensor measurement, resulting in data drift or anomalies.
UVCOD (Ultraviolet Chemical Oxygen Demand ultraviolet chemical oxygen demand) sensor is a common water quality monitoring sensor, and when UVCOD sensor is placed in sewage for monitoring, sludge is deposited on the sensor installation cabin. The monitored data of UVCOD sensors are affected by microorganisms in the sludge, resulting in a final monitoring result that is inconsistent with the actual situation.
Disclosure of Invention
In view of this, the present invention provides a UVCOD sensor microorganism effect compensation method and system for eliminating the effect of microorganisms in sludge covered on a sensor installation cabin on a UVCOD sensor.
In order to solve the technical problems, the technical scheme of the invention is to adopt a UVCOD sensor microorganism influence compensation method, which comprises the following steps:
obtaining a unit influence value C au of UVCOD sensor influenced by the maximum microorganism quantity in the unit sludge quantity;
acquiring the quantity u sum of microorganisms in the sludge based on the current covered sludge quantity of the sensor installation cabin;
calculating an influence value delta C sum of microorganisms contained in the sludge covered by the current sensor installation cabin on a UVCOD sensor according to the number u sum of microorganisms in the current covered sludge, the maximum number N of microorganisms in the unit sludge and the unit influence value C au;
And correcting the monitoring value C s of the UVCOD sensor by using the influence value delta C sum of the microorganism on the UVCOD sensor to obtain a corrected monitoring value C w.
As an improvement, the method for obtaining UVCOD the unit influence value of the sensor influenced by the maximum microorganism number in the unit sludge comprises the following steps:
Taking the sludge with unit sludge amount covered on the sensor installation cabin as a culture medium to perform microbial curing culture, so that the sludge contains the largest microbial quantity N;
The sludge is put into purified water to be stirred to form a sludge solution, and a UVCOD sensor is used for measuring the sludge solution to obtain a unit influence value C au influenced by the maximum microorganism quantity in the unit sludge quantity; the difference between the volume of purified water and the volume of sensor An Zhuangcang is below a threshold.
As a further improvement, the method for measuring the sludge solution by using the UVCOD sensor to obtain the influence value of the UVCOD sensor influenced by the maximum microorganism amount in the unit sludge amount comprises the following steps:
Carrying out n times of measurement on the sludge solution by using UVCOD sensors to obtain n monitoring values;
Using the formula:
Calculating UVCOD an influence value of the sensor influenced by the microorganism; wherein, C au is the influence value, C i is the monitoring value, n is the number of the monitoring values, and i is the serial number of the monitoring values.
As a further development, the method of obtaining the number u sum of microorganisms in the sludge currently covered by the installation compartment comprises using the formula:
calculating the number of microorganisms in the sludge; wherein u sum is the total amount of current microorganisms, u t1 is the total amount of microorganisms at the last calculation time t1, t now is the current time, t is the time, N max is the maximum amount of microorganisms which can be contained in the sludge currently covered on the sensor mounting cabin, S gr is the microorganism growth rate in water, u is the total amount of microorganisms over time, N is an integral symbol, and d is a differential symbol.
As an improvement, the method for obtaining the microorganism growth rate under the current temperature condition comprises the following steps of using the formula:
Calculating the growth rate under the current temperature condition; wherein S gr is the growth rate of microorganisms in water, S grNormal is the growth rate of microorganisms in water at a water temperature of 25 ℃, E a is the activation energy required by the growth of microorganisms, R is a gas constant, and T gr is the temperature of the current sensor mounting cabin.
The method for obtaining the microorganism growth rate in water at the water temperature of 25 ℃ comprises the following steps of using the formula:
Calculating the microorganism growth rate at the water temperature of 25 ℃; wherein S grNormal is the growth rate of microorganisms in water at the water temperature of 25 ℃, t is the moment, S max is the maximum growth rate, t 0 is the time required for the growth rate to reach the maximum value, k xt is the slope of the change of the growth rate, and e is the natural base.
As an improvement, the method for obtaining the maximum microorganism amount which can be contained in the sludge currently covered on the sensor installation compartment comprises the following steps of using the formula:
Calculating the maximum microorganism quantity which can be contained in the sludge currently covered on the sensor installation cabin; wherein N max is the maximum microorganism amount which can be contained in the sludge covered on the sensor installation cabin, M sum is the sludge covered on the sensor installation cabin, M 0 is the unit sludge amount, and N is the maximum microorganism amount which can be contained in the unit sludge amount;
The method for obtaining the maximum microorganism amount which can be contained in the sludge comprises the following steps:
taking the sensor mounting cabin which can be covered with sludge as a culture medium for microbial curing culture, wherein the culture temperature is 25 ℃, and the sludge amount is m 0 of unit sludge amount;
estimating the number of microorganisms by a colony counting method;
Using the formula:
calculating the maximum number of microorganisms that can be contained; wherein N is the number of microorganisms, C is the estimated number of microorganisms, V is the sampling volume, D is the dilution factor, and S is the original volume of the sample.
As an improvement, the method for acquiring the current covered sludge amount of the sensor installation cabin comprises the following steps of:
Calculating the current covered sludge amount of the sensor installation cabin; wherein M sum is the current covered sludge amount of the sensor installation cabin, M t0 is the covered sludge amount of the sensor installation cabin over time, and M max is the maximum covered sludge amount of the sensor installation cabin;
the method for obtaining the sludge covered on the sensor installation cabin along with the time is as follows:
Calculating the amount of sludge covered on the sensor installation cabin over time; wherein M t0 is the amount of sludge covered on the sensor installation cabin over time, t now is the current time, t 0 is the operation and maintenance completion time of the sensor installation cabin, v w is the water flow speed, c sl is the sludge concentration in water, u sl is the viscous fluid property of the sludge, s t is the surface area of the sensor installation cabin, v 0 is the set standard flow rate, k sl is the influence coefficient of the relative standard flow rate on the adhesion property, t is the moment, [ pi ] is the integral symbol, and d is the differential symbol.
As an improvement, the method for obtaining the viscous fluid characteristics of the sludge includes the following steps:
calculating the characteristics of the viscous fluid of the sludge; wherein u sl is the characteristic of the viscous fluid of the sludge, K SL is the related coefficient of the concentration of the sludge, E is the viscous flow activation energy, T is the absolute temperature, and K is the Boltzmann constant.
As an improvement, the method for obtaining the sludge concentration in the water comprises the following steps:
taking water samples with different turbidity, and obtaining the sludge concentration in the water samples by an experimental method;
Establishing a functional relation between turbidity and sludge concentration;
Measuring the turbidity of the water sample to be detected by a turbidity sensor;
the turbidity is converted to a sludge concentration by a functional relationship between turbidity and sludge concentration.
As an improvement, the method for acquiring the influence value of microorganisms contained in sludge covered by the current sensor installation cabin on UVCOD sensors comprises the following steps of using the formula:
Calculating the influence value of microorganisms on UVCOD sensors; wherein Δc sum is an influence value, u sum is the number of microorganisms in the current covered sludge, N is the maximum number of microorganisms in the unit sludge amount, and C au is a unit influence value.
As an improvement, the method for correcting the monitored value of the UVCOD sensor by using the influence value of the microorganism on the UVCOD sensor includes using the formula:
Correcting the monitored value of the UVCOD sensor; wherein, C w is the corrected monitoring value, C s is the monitoring value, deltaC sum is the influence value of microorganism on the UVCOD sensor, and k is the correction coefficient.
The invention also provides a UVCOD sensor microorganism influence compensation system, which comprises:
the unit influence value acquisition module is used for acquiring a unit influence value C au of the UVCOD sensor influenced by the maximum microorganism quantity in the unit sludge quantity;
The microorganism quantity acquisition module is used for acquiring the quantity u sum of microorganisms in the sludge based on the current covered sludge quantity of the sensor installation cabin;
The influence value acquisition module is used for calculating an influence value delta C sum of microorganisms contained in the sludge covered by the current sensor installation cabin on the UVCOD sensor through the number u sum of microorganisms in the current covered sludge, the maximum number N of microorganisms in the unit sludge and the unit influence value C au;
And the compensation module is used for correcting the monitored value C s of the UVCOD sensor by utilizing the influence value delta C sum of the microorganism on the UVCOD sensor to obtain a corrected monitored value C w.
The invention has the advantages that:
According to the invention, firstly, a unit influence value, which is brought by the maximum microorganism quantity in the unit sludge quantity to UVCOD sensor measurement, is obtained, then the microorganism quantity in the sludge covered by the sensor installation cabin at present is calculated, then the influence value influenced by the microorganisms at present is calculated through a ratio relation, and then the influence value is removed from the measured value, so that the measured value is corrected to obtain a corrected measured value, the measured value is more approximate to a true value, and the accuracy of water quality monitoring is improved.
Drawings
FIG. 1 is a flow chart of the present invention.
Fig. 2 is a structural diagram of the present invention.
Detailed Description
In order to make the technical scheme of the present invention better understood by those skilled in the art, the present invention will be further described in detail with reference to the following specific embodiments.
As shown in fig. 1, the invention provides a method for compensating microorganism influence of UVCOD sensors, which is used for eliminating the influence of microorganisms in sludge covered on a sensor installation cabin on UVCOD sensors, and comprises the following specific steps:
S1, acquiring a unit influence value C au of the UVCOD sensor influenced by the maximum microorganism quantity in the unit sludge quantity.
When the installation cabin of UVCOD sensor is placed in the water area to be detected to monitor water quality, the sludge in the water can be gradually covered on the installation cabin of the sensor. Microorganisms growing in the sludge can affect the monitoring result of the UVCOD sensor, so that the monitoring data needs to be corrected.
The purpose of this step is to obtain the effect of the maximum number of microorganisms grown in the unit sludge on the UVCOD sensor monitor, which is defined as the unit effect value C au. The method comprises the following specific steps:
S11, taking sludge with unit sludge amount covered on a sensor installation cabin as a culture medium to perform microbial curing culture, so that the sludge contains the largest microbial quantity N;
The unit sludge amount is actually sampled randomly. The later period can be measured and calculated through the ratio, so that the calculation can be conveniently performed as a reference. Namely, the sludge quantity sampled randomly is used as the unit sludge quantity, and the ratio conversion of the influence value is carried out through the multiple relation between the actual sludge quantity and the unit sludge quantity in the later calculation.
After the sludge is taken from the sensor installation cabin, the sludge is used as a culture medium for curing and culturing microorganisms, so that the microorganisms contained in the sludge reach the maximum value N (the number of the microorganisms in the sludge stops growing after reaching a peak).
S12, putting the sludge into purified water, stirring to form a sludge solution, and measuring the sludge solution by using a UVCOD sensor to obtain a unit influence value C au influenced by the maximum microorganism quantity in the unit sludge quantity; the difference between the volume of purified water and the volume of sensor An Zhuangcang is below a threshold.
The sludge containing N microorganisms is placed into a beaker filled with purified water to be stirred to form a sludge solution, and then a UVCOD sensor is placed into the beaker in a manner consistent with the physical water quality monitoring. In order to ensure consistency with the environment, in combination with implementation convenience, the volume of the purified water is as consistent as possible as the built-in volume of the sensor cabin, namely, the difference value between the volume of the purified water and the volume of the sensor installation cabin is lower than a preset threshold value. After a period of rest, for example 30 minutes, data is collected by the UVCOD sensor for a period of time, for example 30 minutes, during which time the UVCOD sensor takes n measurements of the sludge solution to obtain n monitoring values。
Using the formula:
Calculating UVCOD an influence value of the sensor influenced by the microorganism; wherein, C au is the influence value, C i is the monitoring value, n is the number of the monitoring values, and i is the serial number of the monitoring values.
Of course, those skilled in the art may also perform data screening according to actual situations, and may also perform measurement in other manners, which will not be described herein.
S2, acquiring the number u sum of microorganisms in the sludge based on the current covered sludge amount of the sensor installation cabin.
In practical use, the sludge covered on the sensor installation cabin is gradually increased with the passage of time, and when the sludge is increased to a maximum value, the sludge is not increased. Similarly, the microorganisms growing in the sludge gradually increase over time, and do not increase when increased to a maximum.
On the basis of obtaining the current covered sludge amount of the sensor installation cabin, the number u sum of microorganisms in the sludge can be calculated. Specifically, the formula is utilized:
calculating the number of microorganisms in the sludge; wherein u sum is the total amount of current microorganisms, u t1 is the total amount of microorganisms at the last calculation time t1, t now is the current time, t is the time, N max is the maximum amount of microorganisms which can be contained in the sludge currently covered on the sensor mounting cabin, S gr is the microorganism growth rate in water, u is the total amount of microorganisms over time, N is an integral symbol, and d is a differential symbol.
According to the microbial growth Luo Ji still model mechanism, the relative growth rate of microorganisms is no longer a simple constant, but a function of linear decay with increasing u, as follows:
；
After the function is corrected
Wherein,For the current population of microorganisms, d is the differential sign,/>The maximum saturation amount of microorganisms in the front environment is the maximum amount of microorganisms which can be contained in the sludge currently covered on the sensor installation cabin; /(I)For the current relative growth rate,/>Is an intermediate coefficient,/>；
The growth Luo Ji still model was combined with the boltzmann model (boltzmann model is described in detail below):
。
the method is simplified to obtain the current microbial population quantity:
；
；
。
Wherein, Is the current population of microorganisms that varies over time; /(I)Is a small value of the middle process; /(I)Is a large value of the middle process; k T is a temperature factor (specific acquisition methods are described below); the number of M maximum microorganisms, N max.
The growth rate of the microorganism only follows an Arrhenius model in a narrow growth temperature range, when the temperature exceeds the highest growth temperature, the growth rate is suddenly reduced until death when the temperature is lower than the lowest growth temperature, the growth rate is also reduced more quickly than the Arrhenius model theoretical curve, the change temperature in an actual water body is relatively smaller, the Arrhenius model theoretical curve is met, and the formula is as follows:
Wherein, S u is the growth rate, A is a constant, E a is the activation energy required by the growth of microorganisms, and the growth activation energy interval is 62.5-125 KJ/mol, and is adjusted according to the actual situation; r is the gas constant (r=8.28J/mol×k), T is the absolute temperature (K).
The method for obtaining the microorganism growth rate under the current temperature condition by deforming the formula comprises the following steps of:
；
；
Calculating the growth rate under the current temperature condition; wherein S gr is the growth rate of microorganisms in water, S grNormal is the growth rate of microorganisms in water at the water temperature of 25 ℃, E a is the activation energy required by the growth of the microorganisms, and the growth activation energy interval is 62.5-125 KJ/mol, and the method is adjusted according to actual conditions by a person skilled in the art; r is the gas constant (r=8.28J/mol×k); t gr is the temperature of the current sensor mounting compartment, (. Degree.C), K T is the temperature factor.
The microbial growth is an important research field in microbiology, and has important significance in understanding biological characteristics of microorganisms, controlling growth and reproduction of microorganisms and the like. In the course of studying microbial growth, some mathematical models may be used to describe the growth laws of bacteria, the boltzmann model being the most common. The boltzmann model is a commonly used sigmoid curve function that can be used to describe the rate of microbial growth (growth rate) of the sensing chamber wall over time.
The method for obtaining the microorganism growth rate in water at the water temperature of 25 ℃ by using the Boltzmann model comprises the following steps of:
Calculating the microorganism growth rate at the water temperature of 25 ℃; wherein S grNormal is the growth rate of microorganisms in water at the water temperature of 25 ℃, t is the moment, S max is the maximum growth rate, t 0 is the time required for the growth rate to reach the maximum value, k xt is the slope of the change of the growth rate, and e is the natural base.
In practice, some other parameters in the microorganism growth model are affected by temperature, but for engineering convenience, only the most affected growth rate is subjected to temperature adaptation in the invention, and the influence of other parameters can be finely adjusted through the subsequent correction coefficients.
The method for obtaining the maximum microorganism amount which can be contained in the sludge currently covered on the sensor installation cabin comprises the following steps of utilizing the formula:
Calculating the maximum microorganism quantity which can be contained in the sludge currently covered on the sensor installation cabin; wherein N max is the maximum microorganism amount which can be contained in the sludge covered on the sensor installation cabin, M sum is the sludge covered on the sensor installation cabin, M 0 is the unit sludge amount, and N is the maximum microorganism amount which can be contained in the unit sludge amount.
The method for obtaining the maximum microorganism amount which can be contained in the sludge comprises the following steps:
taking the sensor mounting cabin which can be covered with sludge as a culture medium for microbial curing culture, wherein the culture temperature is 25 ℃, and the sludge amount is m 0 of unit sludge amount;
estimating the number of microorganisms by a colony counting method;
Using the formula:
calculating the maximum number of microorganisms that can be contained; wherein N is the number of microorganisms, C is the estimated number of microorganisms, V is the sampling volume, D is the dilution factor, and S is the original volume of the sample.
Because the sludge covered on the sensor installation cabin is dynamically changed, and the sludge can be removed and weighed only during maintenance, the sludge amount is not practical to obtain by weighing in the field. The invention also provides a method for obtaining the current covered sludge amount of the sensor installation cabin, which specifically comprises the following steps of:
Calculating the current covered sludge amount of the sensor installation cabin; wherein M sum is the current covered sludge amount of the sensor installation cabin, M t0 is the covered sludge amount of the sensor installation cabin over time, and M max is the maximum covered sludge amount of the sensor installation cabin;
more specifically, the method for obtaining the amount of sludge covered on the sensor mounting compartment over time is to use the formula:
Calculating the amount of sludge covered on the sensor installation cabin over time; wherein M t0 is the amount of sludge covered on the sensor installation cabin over time, t now is the current time, t 0 is the operation and maintenance completion time of the sensor installation cabin, v w is the water flow speed, c sl is the sludge concentration in water, u sl is the viscous fluid property of the sludge, s t is the surface area of the sensor installation cabin, v 0 is the default set standard flow speed of 1M/s, k sl is the influence coefficient of the relative standard flow speed on the adhesion property defaults to 1, t is the moment, n is the integral symbol, and d is the differential symbol.
The method for obtaining the sludge viscous fluid characteristic in the formula comprises the following steps of:
Calculating the characteristics of the viscous fluid of the sludge; wherein u sl is the viscous fluid characteristic of the sludge, K SL is the correlation coefficient of the concentration of the sludge, E is the viscous flow activation energy, which represents the energy required by the molecule when moving from one position to other positions, and the numerical value is related to the temperature, the molecular structure and the length of a chain (kJ/mol); t is absolute temperature and K is the Boltzmann constant (8.314J 10X -3/(mol K)).
The method for obtaining the sludge concentration in the water comprises the following steps:
s21, taking water samples with different turbidity, and obtaining the sludge concentration in the water samples through an experimental method.
The so-called experimental method in the present invention may be as follows:
instrument (one):
Oven, crucible (30 ml), filter paper (d=9 cm), dryer, analytical balance.
(II) step:
1. and (3) placing the crucible and the filter paper in an oven, baking to constant weight at the temperature of 105-110 ℃, taking out, placing in a dryer, cooling for 0.5h, weighing by an analytical balance, and recording the weight W1.
2. About 20ml of water sample containing sludge is taken and filtered by a suction bottle.
3. Putting the pumped and filtered sludge together with filter paper and a crucible in a baking oven, baking to constant weight at 105-110 ℃, taking out, putting the sludge in a dryer, cooling for 0.5h, weighing by an analytical balance, and recording the weight W2; after that, the mixture was put into a muffle furnace, the temperature was set at about 550 ℃, and when the mixture was burned to a constant weight, the mixture was taken out and cooled in a dryer, and then weighed by an analytical balance, and the weight W3 was recorded.
And (III) obtaining the sludge concentration:
Sludge concentration=1000 (W3-W2)/0.02 (mg/L).
In the step, water samples with different turbidity are taken(If the required original water sample cannot be acquired, the water sample can be obtained through a background sample concentration technology; specifically, the invention made by the applicant creates a background sample concentration device, a concentration method thereof and a detection equipment calibration method, and the patent number of the invention is ZL 202311430449.7), and the sludge concentration/>, obtained through the experimental method by using a sludge concentration measurement method。
S22, establishing a functional relation between turbidity and sludge concentration;
the turbidity and the sludge concentration can be obtained by a data fitting mode
Wherein,Is the concentration of sludge; /(I)Turbidity;
The data fitting modes are more, such as polynomial fitting, gaussian fitting, linear regression fitting, appointed function fitting (logarithm, index, compound function thereof and the like), and the like; the functional relation obtained by taking polynomial fitting as an example is as follows:
the a, b and c are common fitting values, and can be selected by a person skilled in the art according to the actual water quality condition.
S23, measuring the turbidity of the water sample to be detected through a turbidity sensor;
S24, converting the turbidity into the sludge concentration through a functional relation between the turbidity and the sludge concentration.
Because the sludge concentration cannot be measured by adopting a sensor, if an experimental method is adopted every time, the method is complicated, so that the functional relationship between the turbidity and the sludge concentration is established, and the turbidity of water can be converted into the sludge concentration through the functional relationship only by measuring the turbidity of the water through the turbidity sensor, thereby providing convenience and efficiency for use.
S3, calculating an influence value delta C sum of microorganisms contained in the sludge covered by the current sensor installation cabin on the UVCOD sensor through the number u sum of microorganisms in the current covered sludge, the maximum number N of microorganisms in the unit sludge and the unit influence value C au.
Specifically, the method for acquiring the influence value of microorganisms contained in the sludge covered by the current sensor installation cabin on the UVCOD sensor comprises the following steps of utilizing the formula:
Calculating the influence value of microorganisms on UVCOD sensors; wherein Δc sum is an influence value, u sum is the number of microorganisms in the current covered sludge, N is the maximum number of microorganisms in the unit sludge amount, and C au is a unit influence value.
After obtaining the unit influence value of the maximum microorganism in the unit sludge amount on the monitoring data and the number of microorganisms in the current covered sludge, calculating the influence value of the microorganisms in the current covered sludge on the monitoring data through a ratio relation.
S4, correcting the monitored value C s of the UVCOD sensor by utilizing the influence value delta C sum of the microorganism on the UVCOD sensor to obtain a corrected monitored value C w.
After the influence value of microorganisms in the current covering sludge of the sensor installation cabin on the monitoring data is obtained, the monitoring value is corrected through the influence value, specifically, the formula is utilized:
Correcting the monitored value of the UVCOD sensor; wherein, C w is the corrected monitoring value, C s is the monitoring value, deltaC sum is the influence value of microorganism on the UVCOD sensor, k is the correction coefficient, and the correction coefficient is adjusted by a person skilled in the art according to actual conditions, and is defaulted to 1.
In addition, as shown in fig. 2, the present invention also provides a UVCOD sensor microorganism influence compensation system, including:
the unit influence value acquisition module is used for acquiring a unit influence value C au of the UVCOD sensor influenced by the maximum microorganism quantity in the unit sludge quantity;
The microorganism quantity acquisition module is used for acquiring the quantity u sum of microorganisms in the sludge based on the current covered sludge quantity of the sensor installation cabin;
The influence value acquisition module is used for calculating an influence value delta C sum of microorganisms contained in the sludge covered by the current sensor installation cabin on the UVCOD sensor through the number u sum of microorganisms in the current covered sludge, the maximum number N of microorganisms in the unit sludge and the unit influence value C au;
And the compensation module is used for correcting the monitored value C s of the UVCOD sensor by utilizing the influence value delta C sum of the microorganism on the UVCOD sensor to obtain a corrected monitored value C w.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that the above-mentioned preferred embodiment should not be construed as limiting the invention, and the scope of the invention should be defined by the appended claims. It will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the spirit and scope of the invention, and such modifications and adaptations are intended to be comprehended within the scope of the invention.
Claims (12)
1. A method of compensating for microbial effects of UVCOD sensors, comprising:
obtaining a unit influence value C au of UVCOD sensor influenced by the maximum microorganism quantity in the unit sludge quantity;
acquiring the quantity u sum of microorganisms in the sludge based on the current covered sludge quantity of the sensor installation cabin;
calculating an influence value delta C sum of microorganisms contained in the sludge covered by the current sensor installation cabin on a UVCOD sensor according to the number u sum of microorganisms in the current covered sludge, the maximum number N of microorganisms in the unit sludge and the unit influence value C au;
And correcting the monitoring value C s of the UVCOD sensor by using the influence value delta C sum of the microorganism on the UVCOD sensor to obtain a corrected monitoring value C w.
2. A method of compensating for microbial effects of a UVCOD sensor according to claim 1, wherein: the method for obtaining the unit influence value of UVCOD sensor influenced by the maximum microorganism quantity in the unit sludge comprises the following steps:
Taking the sludge with unit sludge amount covered on the sensor installation cabin as a culture medium to perform microbial curing culture, so that the sludge contains the largest microbial quantity N;
The sludge is put into purified water to be stirred to form a sludge solution, and a UVCOD sensor is used for measuring the sludge solution to obtain a unit influence value C au influenced by the maximum microorganism quantity in the unit sludge quantity; the difference between the volume of purified water and the volume of sensor An Zhuangcang is below a threshold.
3. A method of compensating for microbial effects of a UVCOD sensor according to claim 2, wherein: the method for measuring the sludge solution by using the UVCOD sensor to obtain the unit influence value of the UVCOD sensor influenced by the maximum microorganism quantity in the unit sludge comprises the following steps:
Carrying out n times of measurement on the sludge solution by using UVCOD sensors to obtain n monitoring values;
Using the formula:
Calculating UVCOD a unit influence value of the sensor influenced by the microorganism; wherein, C au is a unit influence value, C i is a monitoring value, n is the number of the monitoring values, and i is the serial number of the monitoring values.
4. A method of compensating for microbial effects of a UVCOD sensor according to claim 1, wherein: the method of obtaining the number u sum of microorganisms in the sludge currently covered by the installation pod comprises using the formula:
Calculating the number of microorganisms in the sludge; wherein u sum is the total amount of current microorganisms, u t1 is the total amount of microorganisms at the last calculation time t1, t now is the current time, t is the time, N max is the maximum amount of microorganisms which can be contained in the sludge currently covered on the sensor installation cabin, S gr is the microorganism growth rate in water, u is the total amount of microorganisms over time, [ pi ] is an integral symbol, and d is a differential symbol.
5. A method of compensating for the effects of microorganisms in a UVCOD sensor according to claim 4, wherein: the method for obtaining the microorganism growth rate under the current temperature condition comprises the following steps of utilizing the formula:
Calculating the growth rate under the current temperature condition; wherein S gr is the growth rate of microorganisms in water, S grNormal is the growth rate of microorganisms in water at a water temperature of 25 ℃, E a is the activation energy required by the growth of microorganisms, R is a gas constant, and T gr is the temperature of a current sensor mounting cabin;
the method for obtaining the microorganism growth rate in water at the water temperature of 25 ℃ comprises the following steps of using the formula:
Calculating the microorganism growth rate at the water temperature of 25 ℃; wherein S grNormal is the growth rate of microorganisms in water at the water temperature of 25 ℃, t is the moment, S max is the maximum growth rate, t 0 is the time required for the growth rate to reach the maximum value, k xt is the slope of the change of the growth rate, and e is the natural base.
6. A method of compensating for the effects of microorganisms in a UVCOD sensor according to claim 4, wherein: the method for obtaining the maximum microorganism amount which can be contained in the sludge currently covered on the sensor installation cabin comprises the following steps of utilizing the formula:
Calculating the maximum microorganism quantity which can be contained in the sludge currently covered on the sensor installation cabin; wherein N max is the maximum microorganism amount which can be contained in the sludge covered on the sensor installation cabin, M sum is the sludge covered on the sensor installation cabin, M 0 is the unit sludge amount, and N is the maximum microorganism amount which can be contained in the unit sludge amount;
The method for obtaining the maximum microorganism amount which can be contained in the sludge comprises the following steps:
taking the sensor mounting cabin which can be covered with sludge as a culture medium for microbial curing culture, wherein the culture temperature is 25 ℃, and the sludge amount is m 0 of unit sludge amount;
estimating the number of microorganisms by a colony counting method;
Using the formula:
calculating the maximum number of microorganisms that can be contained; wherein N is the number of microorganisms, C is the estimated number of microorganisms, V is the sampling volume, D is the dilution factor, and S is the original volume of the sample.
7. A method of compensating for microbial effects of a UVCOD sensor according to claim 1, wherein: the method for acquiring the current covered sludge amount of the sensor installation cabin comprises the following steps of utilizing the formula:
Calculating the current covered sludge amount of the sensor installation cabin; wherein M sum is the current covered sludge amount of the sensor installation cabin, M t0 is the covered sludge amount of the sensor installation cabin over time, and M max is the maximum covered sludge amount of the sensor installation cabin;
the method for obtaining the sludge covered on the sensor installation cabin along with the time is as follows:
Calculating the amount of sludge covered on the sensor installation cabin over time; wherein M t0 is the amount of sludge covered on the sensor installation cabin over time, t now is the current time, t 0 is the operation and maintenance completion time of the sensor installation cabin, v w is the water flow speed, c sl is the sludge concentration in water, u sl is the viscous fluid property of the sludge, s t is the surface area of the sensor installation cabin, v 0 is the set standard flow rate, k sl is the influence coefficient of the relative standard flow rate on the adhesion property, t is the moment, [ pi ] is the integral symbol, and d is the differential symbol.
8. The method for compensating for microbial effects of a UVCOD sensor according to claim 7, wherein: the method for obtaining the sludge viscous fluid characteristics comprises the following steps of using the formula:
calculating the characteristics of the viscous fluid of the sludge; wherein u sl is the characteristic of the viscous fluid of the sludge, K SL is the related coefficient of the concentration of the sludge, E is the viscous flow activation energy, T is the absolute temperature, and K is the Boltzmann constant.
9. The method for compensating for microbial effects of a UVCOD sensor according to claim 7, wherein: the method for obtaining the sludge concentration in the water comprises the following steps:
taking water samples with different turbidity, and obtaining the sludge concentration in the water samples by an experimental method;
Establishing a functional relation between turbidity and sludge concentration;
Measuring the turbidity of the water sample to be detected by a turbidity sensor;
the turbidity is converted to a sludge concentration by a functional relationship between turbidity and sludge concentration.
10. A method of compensating for microbial effects of a UVCOD sensor according to claim 1, wherein: the current method for obtaining the influence value of microorganisms contained in sludge covered by a sensor installation cabin on UVCOD sensors comprises the following steps of utilizing the formula:
Calculating the influence value of microorganisms on UVCOD sensors; wherein Δc sum is an influence value, u sum is the number of microorganisms in the current covered sludge, N is the maximum number of microorganisms in the unit sludge amount, and C au is a unit influence value.
11. A method of compensating for microbial effects of a UVCOD sensor according to claim 1, wherein: the method for correcting the monitored value of the UVCOD sensor using the microbial impact value of UVCOD sensor includes using the formula:
Correcting the monitored value of the UVCOD sensor; wherein, C w is the corrected monitoring value, C s is the monitoring value, deltaC sum is the influence value of microorganism on the UVCOD sensor, and k is the correction coefficient.
12. A UVCOD sensor microbial impact compensation system, comprising:
the unit influence value acquisition module is used for acquiring a unit influence value C au of the UVCOD sensor influenced by the maximum microorganism quantity in the unit sludge quantity;
The microorganism quantity acquisition module is used for acquiring the quantity u sum of microorganisms in the sludge based on the current covered sludge quantity of the sensor installation cabin;
The influence value acquisition module is used for calculating an influence value delta C sum of microorganisms contained in the sludge covered by the current sensor installation cabin on the UVCOD sensor through the number u sum of microorganisms in the current covered sludge, the maximum number N of microorganisms in the unit sludge and the unit influence value C au;
And the compensation module is used for correcting the monitored value C s of the UVCOD sensor by utilizing the influence value delta C sum of the microorganism on the UVCOD sensor to obtain a corrected monitored value C w.
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