CN115385445A - Soft measurement management system for sewage biochemical treatment based on big data - Google Patents
Soft measurement management system for sewage biochemical treatment based on big data Download PDFInfo
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F3/00—Biological treatment of water, waste water, or sewage
- C02F3/02—Aerobic processes
- C02F3/12—Activated sludge processes
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/70—Machine learning, data mining or chemometrics
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2101/00—Nature of the contaminant
- C02F2101/30—Organic compounds
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/22—O2
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W10/00—Technologies for wastewater treatment
- Y02W10/10—Biological treatment of water, waste water, or sewage
Abstract
The invention relates to the field of sewage treatment, and aims to solve the problems that some water quality indexes are difficult to measure on line and the oxygen input and the medicament addition cannot be accurately predicted due to the nonlinearity, the time-varying property and the complexity of a sewage biological treatment process in the conventional sewage treatment system; this soft measurement management system can analyze out and predetermine logical oxygen rate, predetermine the dose through measuring the relevant comprehensive temperature value of sewage, wind speed value and atmospheric pressure value and sewage COD value and sewage pH value to the required oxygen volume of good oxygen fungus and the medicament for chemical treatment in sewage treatment predetermine, reduce the wasting of resources when having guaranteed sewage treatment quality, effectually combine biochemical method and chemical method, to sewage treatment's high quality, improved sewage treatment efficiency.
Description
Technical Field
The invention relates to the field of sewage treatment, in particular to a soft measurement management system for sewage biochemical treatment based on big data.
Background
Sewage treatment is a process for purifying sewage to meet the water quality requirement of discharging the sewage into a certain water body or reusing the sewage. Sewage treatment is widely applied to various fields such as building, agriculture, traffic, energy, petrifaction, environmental protection, urban landscape, medical treatment, catering and the like, and is increasingly used in daily life of common people.
The sewage biochemical technology is a main application technology for sewage treatment, in particular to urban domestic sewage treatment. The biochemical technology for sewage treatment at present uses an activated sludge process as a main technology, and the activated sludge process is divided into an aerobic technology, an anaerobic technology and a facultative technology according to different oxygen supply amounts, wherein the aerobic technology is a treatment technology in which aerobic bacteria dominate under an aerobic condition and pollutants in water are degraded, and a bottom aeration system is required to be additionally arranged in the aerobic technology to provide oxygen for the aerobic bacteria, but the sewage cannot be effectively treated.
The chemical treatment method is a wastewater treatment method for separating and removing pollutants in a dissolved or colloidal state in wastewater or converting the pollutants into harmless substances through chemical reaction and mass transfer, but a large amount of medicaments are required to be added in the process of treating the wastewater, so that the wastewater treatment cost is high.
The two methods are combined and applied to achieve a good sewage treatment effect, but the existing sewage treatment system has the defects that some water quality indexes are difficult to measure on line due to nonlinearity, time-varying property and complexity of a sewage biological treatment process, and the oxygen introduction amount and the medicament addition amount cannot be accurately predicted, so that a soft measurement management system for sewage biochemical treatment based on big data is urgently needed to solve the problems.
Disclosure of Invention
In order to overcome the technical problems, the invention aims to provide a soft measurement management system for sewage biochemical treatment based on big data.
The purpose of the invention can be realized by the following technical scheme:
a sewage biochemical treatment soft measurement management system based on big data comprises a soft measurement management platform, an oxygen control module and a dosing control module;
the soft measurement management platform is used for acquiring a preset oxygen introduction rate TSy according to an oxygen introduction parameter TC and an average oxygen introduction ratio JT, sending the preset oxygen introduction rate TSy to the oxygen control module, acquiring a preset dosing quantity JYy according to a pretreatment value YC and a preset value YT, and sending the preset dosing quantity JYy to the dosing control module;
the process of acquiring the preset oxygen introducing rate TSy by the soft measurement management platform is as follows:
acquiring all oxygen passing parameters TC in historical data and oxygen passing rates of corresponding sewage treatment aeration fans, and respectively marking the oxygen passing parameters TC and the oxygen passing rates TSi as oxygen passing parameters LCi and oxygen passing rates TSi, wherein i =1, \8230;, n are natural numbers;
acquiring the ratio of oxygen passing rate TSi to oxygen passing parameter LCi, and marking the ratio as oxygen passing ratio TBi;
sequencing the oxygen supply ratios TBi from small to large, marking the oxygen supply ratio TBi positioned in the middle position as a middle oxygen supply ratio ZT, and if the number of the oxygen supply ratios TBi in the middle position is two, calculating the average value of the two, and marking the average value as the middle oxygen supply ratio ZT;
screening out the oxygen passing ratios TBi at the first and the last positions, and sequentially substituting the rest oxygen passing ratios TBi into a formula
Obtaining a partial oxygen value PY;
comparing the oxygen bias value PY with a preset oxygen bias threshold value PYy;
if the oxygen bias value PY is smaller than a preset oxygen bias threshold value PYy, marking an oxygen passing ratio TBi corresponding to the oxygen bias value PY as a selected oxygen passing ratio;
summing all the selected oxygen introduction ratios and calculating the average value of the selected oxygen introduction ratios to obtain a mean oxygen introduction ratio JT;
acquiring the product of the received oxygen passing parameter TC and the average oxygen passing ratio JT, and marking the product as a preset oxygen passing rate TSy;
sending a preset oxygen introducing rate TSy to an oxygen control module;
the process of acquiring the preset dosing quantity JYy by the soft measurement management platform is as follows:
substituting the pre-conditioning value YC and the pre-conditioning value YT into a formula
Obtaining a dosing coefficient JX, wherein alpha 1 and alpha 2 are preset weight factors of a pretreatment value YC and a preset value YT respectively, alpha 1 is larger than alpha 2 and larger than 1, beta is a regulating factor, and beta =0.0561 is selected;
matching the dosing coefficient JX with the dosing amount Jj, wherein the dosing amount Jj corresponds to a dosing coefficient value interval JQj, and the dosing coefficient value interval JQj = (JXa, JXb), wherein j =1, \8230; m, m is a natural number, a = b-1, and JXa is less than JXb;
if the dosing coefficient JX belongs to the dosing coefficient value interval JQj = (JXa, JXb), marking the dosing quantity Jj corresponding to the dosing coefficient value interval JQj as a preset dosing quantity JYy, and sending the preset dosing quantity JYy to the dosing control module;
after receiving a dosing error instruction and a post-dosing value JCOD fed back by the dosing control module, substituting the post-dosing value JCOD, a standard value BCOD and an error factor epsilon into a formula
Obtaining a medicine supplementation coefficient BY;
sending the medicine supplementing coefficient BY to a medicine adding control module;
the oxygen control module is used for adjusting the oxygen introducing rate of the sewage treatment aeration fan according to the preset oxygen introducing rate TSy;
the drug adding control module is used for adding a drug into the sewage according to a preset drug adding amount JYy.
As a further scheme of the invention: the parameter acquisition module is used for acquiring a comprehensive temperature value ZW, a wind speed value FS and an air pressure value QY, sending the comprehensive temperature value ZW, the wind speed value FS and the air pressure value QY to the parameter analysis module, acquiring a pre-processing value YC and a pre-adjusting value YT, and sending the pre-processing value YC and the pre-adjusting value YT to the soft measurement management platform.
As a further scheme of the invention: the process of acquiring the comprehensive temperature value ZW, the wind speed value FS and the air pressure value QY by the parameter acquisition module is as follows:
collecting the environmental temperature and the sewage water temperature, respectively marking the environmental temperature and the sewage water temperature as a ring temperature value HW and a sewage temperature value WW, and substituting the ring temperature value HW and the sewage temperature value WW into a formula
Obtaining a comprehensive temperature value ZW, wherein q1 and q2 are preset weight coefficients of a loop temperature value HW and a pollution temperature value WW respectively, q1+ q2=1,1 > q2 > q1 > 0, q1=0.28 and q2=0.72 are taken;
collecting wind speed at a preset distance above a sewage level, and marking the wind speed as a wind speed value FS;
collecting the air pressure speed at a preset distance above the sewage level, and marking the air pressure speed as an air pressure value QY;
and sending the comprehensive temperature value ZW, the wind speed value FS and the air pressure value QY to a parameter analysis module.
As a further scheme of the invention: the process of acquiring the pre-conditioning value YC and the pre-conditioning value YT by the parameter acquisition module is as follows:
collecting the COD value and the pH value of the sewage after oxygen introduction treatment, and respectively marking the COD value and the pH value as a first post-oxidation value TCOD and a second post-oxidation value TpH;
acquiring a standard value of sewage discharge COD, and marking the standard value as a standard value BCOD;
acquiring a standard range value of the pH value of sewage discharge, acquiring a maximum value and a minimum value of the standard range value, and respectively marking the maximum value and the minimum value as a standard upper value pBS and a standard lower value pBX;
obtaining the average values of the upper standard value pBS and the lower standard value pBX, and marking the average values as standard average values pBJ;
acquiring a difference value between the first post-oxidation value TCOD and a standard value BCOD, marking the difference value as a pretreatment value YC, acquiring a difference value between the second post-oxidation value TpH and a standard mean value pBJ, and marking the difference value as a pre-regulation value YT;
and sending the pre-processing value YC and the pre-processing value YT to a soft measurement management platform.
As a further scheme of the invention: the parameter analysis module is used for obtaining an oxygen passing coefficient TY according to the comprehensive temperature value ZW, the wind speed value FS and the air pressure value QY, obtaining an oxygen passing parameter TC according to the oxygen passing coefficient TY and the sewage amount WL, and sending the oxygen passing parameter TC to the soft measurement management platform.
As a further scheme of the invention: the process of acquiring the oxygen passing coefficient TY by the parameter analysis module is as follows:
substituting the comprehensive temperature value ZW, the wind speed value FS and the air pressure value QY into a formula
Obtaining an oxygen passing coefficient TY, wherein d1, d2 and d3 are preset proportionality coefficients of a comprehensive temperature value ZW, a wind speed value FS and a pressure value QY respectively, and d1 is larger than d2 and larger than d3 is larger than 1;
taking the total mass of sewage, and marking the total mass as sewage quantity WL;
substituting sewage quantity WL and oxygen permeability coefficient TY into a formula
Obtaining an oxygen introducing parameter TC, wherein gamma is an adjusting factor, and gamma is 0.983;
and sending the oxygen introduction parameter TC to a soft measurement management platform.
As a further scheme of the invention: the specific process of the oxygen control module for adjusting the access rate according to the preset oxygen access rate is as follows:
and after receiving the preset oxygen introducing rate TSy, adjusting the oxygen introducing rate of the sewage treatment aeration fan, enabling the oxygen introducing rate TSi = the preset oxygen introducing rate TSy, simultaneously generating an oxygen adjusting signal, and sending the oxygen introducing rate TSi and the oxygen adjusting signal to the soft measurement management platform.
As a further scheme of the invention: the specific process of adding the medicament by the medicament adding control module according to the preset medicament adding amount is as follows:
adding a medicament with a preset adding amount JYy into the sewage after receiving the preset adding amount JYy;
collecting the COD value of the sewage after the chemical adding treatment, and marking the COD value as a post-chemical value JCOD;
comparing the post-dose value JCOD with the standard value BCOD:
if the post-dosing value JCOD is less than or equal to the standard value BCOD, no operation is carried out;
if the post-medication value JCOD is larger than the standard value BCOD, generating a dosing error instruction, collecting the medicament production time, the medicament unsealing time, the medicament expiration time and the current time, obtaining a production time difference CC according to the time difference between the medicament production time and the current time, obtaining an unsealing time difference FC according to the time difference between the medicament unsealing time and the current time, obtaining a time effect difference SC according to the time difference between the medicament expiration time and the current time, substituting the production time difference CC, the unsealing time difference FC and the time effect difference SC into a formula SJ = s1 × CC + s2 × FC-s3 × SC to obtain a time parameter SJ, wherein s1, s2 and s3 are respectively preset proportionality coefficients of the production time difference CC, the unsealing time difference FC and the time effect difference SC, wherein s1+ s2+ s3=1, s1=0.35, s2=0.35 and s3=0.3;
collecting the environmental humidity, oxygen concentrated oxygen and environmental temperature of the unpacked medicament, respectively marking the environmental humidity SD, the environmental oxygen YD and the environmental temperature WD as the environmental humidity SD, the environmental oxygen YD and the environmental temperature WD, substituting the environmental humidity SD, the environmental oxygen YD and the environmental temperature WD into a formula HJ = h1 xSD + h2 xYD + h3 xWD to obtain an environmental parameter HJ, wherein h1, h2 and h3 are respectively preset proportional coefficients of the environmental humidity SD, the environmental oxygen YD and the environmental temperature WD, and h1+ h2+ h3=1, h1=0.43, h2=0.0.33 and h3=0.24 are taken;
substituting time parameter SJ and environment parameter HJ into formula
Obtaining an error factor epsilon;
sending a dosing error instruction, a post-dosing value JCOD and an error factor epsilon to a soft measurement management platform;
obtaining the product of the medicine supplementing coefficient BY and the preset medicine adding amount JYy, marking the product as the medicine supplementing amount BJ, and supplementing a medicine to the sewage according to the medicine supplementing amount BJ;
after the addition of the added medicament is finished, the preset medicament adding amount JYy is adjusted by using an error factor epsilon, and the preset medicament adding amount JYy = (1 + epsilon) × the preset medicament adding amount JYy is made.
The invention has the beneficial effects that:
according to the soft measurement management system for sewage biochemical treatment based on big data, the comprehensive temperature value, the wind speed value and the air pressure value are acquired through the parameter acquisition module, so that external factors are acquired to judge the oxygen content in sewage, the parameter analysis module acquires the oxygen passing coefficient according to the comprehensive temperature value, the wind speed value and the air pressure value, and acquires the oxygen passing parameter according to the oxygen passing coefficient and the sewage amount, wherein the oxygen passing parameter is used for measuring the oxygen passing parameter required by sewage treatment, the soft measurement management platform acquires the oxygen passing ratio through the big data in history, so that the oxygen passing rate required by oxygen passing can be acquired when the oxygen passing coefficient is acquired, the preset oxygen passing rate is acquired, so that sufficient oxygen is provided for aerobic bacteria in sewage treatment, organic matters in sewage can be sufficiently and effectively degraded, then the parameter acquisition module acquires the pretreatment value and the preset preconditioning value, the pretreatment value and the preconditioning value represent the parameter required by sewage treatment, the soft measurement management platform acquires the preset dosage according to the pretreatment value and the preconditioning value, so that the dosage is added to the sewage treatment precision agent in sewage, the pollutant in the sewage can be sufficiently removed, the sewage can be adjusted, the dosage coefficient can be timely, the dosage of the reagent addition error of the reagent is obtained by the parameter, and the use error of the sewage treatment error factor can be obtained by adding module; this soft measurement management system can analyze out and predetermine logical oxygen speed, predetermine the dose of adding through the temperature value through measuring that sewage is relevant, wind speed value and atmospheric pressure value and sewage COD value and sewage pH value to predetermine the required oxygen volume of good oxygen fungus and medicament for chemical treatment among the sewage treatment, reduce the wasting of resources when having guaranteed the sewage treatment quality, effectually combine biochemical method and chemical method, to sewage treatment's high quality, improved sewage treatment efficiency.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of a big data-based soft measurement management system for biochemical treatment of wastewater according to the present invention;
FIG. 2 is a flow chart of the operation of a big data-based soft measurement management system for biochemical treatment of sewage according to the present invention;
FIG. 3 is a flow chart of the operation of the parameter acquisition module of the present invention;
FIG. 4 is a flow chart of the operation of the parameter analysis module of the present invention;
FIG. 5 is a flow chart of the operation of the soft measurement management platform of the present invention;
FIG. 6 is a flow chart of the operation of the medicated control module of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
referring to fig. 1-6, the present embodiment is a soft measurement management system for biochemical treatment of sewage based on big data, which includes a parameter collection module, a parameter analysis module, a soft measurement management platform, an oxygen control module, and a dosing control module;
the parameter acquisition module acquires a comprehensive temperature value ZW, a wind speed value FS and an air pressure value QY, and sends the comprehensive temperature value ZW, the wind speed value FS and the air pressure value QY to the parameter analysis module, and is also used for acquiring a pre-processing value YC and a pre-adjusting value YT, and sending the pre-processing value YC and the pre-adjusting value YT to the soft measurement management platform, and the specific process is as follows:
collecting the environmental temperature and the sewage water temperature, respectively marking the environmental temperature and the sewage water temperature as a ring temperature value HW and a sewage temperature value WW, and substituting the ring temperature value HW and the sewage temperature value WW into a formula
Obtaining a comprehensive temperature value ZW, wherein q1 and q2 are preset weight coefficients of a loop temperature value HW and a pollution temperature value WW respectively, q1+ q2=1,1 > q2 > q1 > 0, q1=0.28 and q2=0.72 are taken;
collecting wind speed at a preset distance above a sewage level, and marking the wind speed as a wind speed value FS;
collecting the air pressure speed at a preset distance above the sewage level, and marking the air pressure speed as an air pressure value QY;
sending the comprehensive temperature value ZW, the wind speed value FS and the air pressure value QY to a parameter analysis module;
collecting the COD value and the pH value of the sewage after oxygen introduction treatment, and respectively marking the COD value and the pH value as a first post-oxygen value TCOD and a second post-oxygen value TpH;
acquiring a standard value of sewage discharge COD, and marking the standard value as a standard value BCOD;
acquiring a standard range value of the pH value of sewage discharge, acquiring a maximum value and a minimum value of the standard range value, and respectively marking the maximum value and the minimum value as a standard upper value pBS and a standard lower value pBX;
obtaining the average values of the upper standard value pBS and the lower standard value pBX, and marking the average values as standard average values pBJ;
acquiring a difference value between the first post-oxidation value TCOD and a standard value BCOD, marking the difference value as a pre-treatment value YC, acquiring a difference value between the second post-oxidation value TpH and a standard average value pBJ, and marking the difference value as a pre-treatment value YT;
and sending the pre-processing value YC and the pre-processing value YT to a soft measurement management platform.
The parameter analysis module obtains the aeration coefficient TY according to the comprehensive temperature value ZW, the wind speed value FS and the air pressure value QY, obtains the aeration parameter TC according to the aeration coefficient TY and the sewage amount WL, and sends the aeration parameter TC to the soft measurement management platform, and the specific process is as follows:
substituting the comprehensive temperature value ZW, the wind speed value FS and the air pressure value QY into a formula
Obtaining an oxygen passing coefficient TY, wherein d1, d2 and d3 are preset proportionality coefficients of a comprehensive temperature value ZW, a wind speed value FS and a pressure value QY respectively, and d1 is larger than d2 and larger than d3 is larger than 1;
taking the total mass of sewage, and marking the total mass as sewage quantity WL;
substituting sewage quantity WL and oxygen permeability coefficient TY into a formula
Obtaining an oxygen introducing parameter TC, wherein gamma is an adjusting factor and is 0.983;
sending the oxygen introduction parameter TC to a soft measurement management platform;
the soft measurement management platform acquires a preset oxygen passing rate TSy according to an oxygen passing parameter TC and an average oxygen passing ratio JT, sends the preset oxygen passing rate TSy to the oxygen control module, is also used for acquiring a preset medicine adding amount JYy according to a pretreatment value YC and a preset regulation value YT, and sends the preset medicine adding amount JYy to the medicine adding control module, and the specific process is as follows:
acquiring all oxygen passing parameters TC in historical data and oxygen passing rates of corresponding sewage treatment aeration fans, and respectively marking the oxygen passing parameters TC and the oxygen passing rates TSi as oxygen passing parameters LCi and oxygen passing rates TSi, wherein i =1, \8230;, n are natural numbers;
acquiring the ratio of oxygen passing rate TSi to oxygen passing parameter LCi, and marking the ratio as oxygen passing ratio TBi;
sequencing the oxygen passing ratios TBi in a descending order, marking the oxygen passing ratio TBi in the middle position as a medium oxygen passing ratio ZT, and if the number of the oxygen passing ratios TBi in the middle position is two, calculating the average value of the two, and marking the average value as the medium oxygen passing ratio ZT;
screening out the oxygen passing ratios TBi at the first and last positions, and substituting the rest oxygen passing ratios TBi into a formula
Obtaining a partial oxygen value PY;
comparing the oxygen bias value PY with a preset oxygen bias threshold value PYy;
if the oxygen bias value PY is smaller than a preset oxygen bias threshold value PYy, marking an oxygen passing ratio TBi corresponding to the oxygen bias value PY as a selected oxygen passing ratio;
summing all the selected oxygen introduction ratios and calculating the average value of the selected oxygen introduction ratios to obtain a mean oxygen introduction ratio JT;
obtaining the product of the received oxygen aeration parameter TC and the average oxygen aeration ratio JT, and marking the product as a preset oxygen aeration rate TSy;
sending a preset oxygen introduction rate TSy to an oxygen control module;
generating a dosing parameter acquisition instruction after receiving an oxygen regulation signal fed back by the oxygen control module, and sending the dosing parameter acquisition instruction to the parameter acquisition module;
substituting the pretreatment value YC and the preconditioning value YT fed back by the parameter acquisition module into a formula
Obtaining a dosing coefficient JX, wherein alpha 1 and alpha 2 are respectively preset weight factors of a pretreatment value YC and a preset weight factor of a preset value YT, alpha 1 is larger than alpha 2 and larger than 1, beta is a regulation factor, and beta =0.0561 is taken;
matching the dosing coefficient JX with the dosing amount Jj, wherein the dosing amount Jj corresponds to a dosing coefficient value interval JQj, and the dosing coefficient value interval JQj = (JXa, JXb), wherein j =1, \8230; m, m is a natural number, a = b-1, and JXa is less than JXb;
if the dosing coefficient JX belongs to the dosing coefficient value interval JQj = (JXa, JXb), marking the dosing quantity Jj corresponding to the dosing coefficient value interval JQj as a preset dosing quantity JYy, and sending the preset dosing quantity JYy to the dosing control module;
after receiving a dosing error instruction and a post-dosing value JCOD fed back by the dosing control module, substituting the post-dosing value JCOD, a standard value BCOD and an error factor epsilon into a formula
Obtaining a medicine supplementation coefficient BY;
sending the medicine supplementing coefficient BY to a medicine adding control module;
the oxygen control module is used for adjusting the oxygen introducing rate of the sewage treatment aeration fan according to the preset oxygen introducing rate TSy, and the specific process is as follows:
after receiving a preset oxygen introducing rate TSy, adjusting the oxygen introducing rate of the sewage treatment aeration fan, enabling the oxygen introducing rate TSi = the preset oxygen introducing rate TSy, simultaneously generating an oxygen adjusting signal, and sending the oxygen introducing rate TSi and the oxygen adjusting signal to a soft measurement management platform;
the dosing control module is used for adding a medicament into sewage according to a preset dosing amount JYy, and the specific process is as follows:
adding a medicament with a preset adding amount JYy into the sewage after receiving the preset adding amount JYy;
collecting the COD value of the sewage after the chemical adding treatment, and marking the COD value as a post-chemical value JCOD;
comparing the post-dose value JCOD with the standard value BCOD:
if the post-dosing value JCOD is less than or equal to the standard value BCOD, no operation is carried out;
if the post-medication value JCOD is larger than the standard value BCOD, generating a dosing error instruction, collecting the medicament production time, the medicament unsealing time, the medicament expiration time and the current time, obtaining a production time difference CC according to the time difference between the medicament production time and the current time, obtaining an unsealing time difference FC according to the time difference between the medicament unsealing time and the current time, obtaining a time effect difference SC according to the time difference between the medicament expiration time and the current time, substituting the production time difference CC, the unsealing time difference FC and the time effect difference SC into a formula SJ = s1 × CC + s2 × FC-s3 × SC to obtain a time parameter SJ, wherein s1, s2 and s3 are respectively preset proportionality coefficients of the production time difference CC, the unsealing time difference FC and the time effect difference SC, wherein s1+ s2+ s3=1, s1=0.35, s2=0.35 and s3=0.3;
collecting the environmental humidity, oxygen concentrated oxygen and environmental temperature of the unpacked medicament, respectively marking the environmental humidity SD, the environmental oxygen YD and the environmental temperature WD as the environmental humidity SD, the environmental oxygen YD and the environmental temperature WD, substituting the environmental humidity SD, the environmental oxygen YD and the environmental temperature WD into a formula HJ = h1 xSD + h2 xYD + h3 xWD to obtain an environmental parameter HJ, wherein h1, h2 and h3 are respectively preset proportional coefficients of the environmental humidity SD, the environmental oxygen YD and the environmental temperature WD, and h1+ h2+ h3=1, h1=0.43, h2=0.0.33 and h3=0.24 are taken;
substituting time parameter SJ and environment parameter HJ into formula
Obtaining an error factor epsilon;
sending a dosing error instruction, a post-dosing value JCOD and an error factor epsilon to a soft measurement management platform;
obtaining the product of the medicine supplementing coefficient BY and the preset medicine adding amount JYy, marking the product as the medicine supplementing amount BJ, and supplementing a medicine to the sewage according to the medicine supplementing amount BJ;
after the addition of the added medicament is finished, the preset medicament adding amount JYy is adjusted by using an error factor epsilon, and the preset medicament adding amount JYy = (1 + epsilon) × the preset medicament adding amount JYy is made.
The working principle of the invention is as follows:
the comprehensive temperature value, the wind speed value and the air pressure value are acquired through the parameter acquisition module, so that the oxygen content in sewage is judged by acquiring external factors, the parameter analysis module acquires an oxygen passing coefficient according to the comprehensive temperature value, the wind speed value and the air pressure value, and acquires an oxygen passing parameter according to the oxygen passing coefficient and the sewage quantity, the oxygen passing parameter is used for measuring the oxygen parameter required to be introduced for sewage treatment, the soft measurement management platform acquires an oxygen passing ratio through historical big data, so that the oxygen passing rate required to be introduced during the oxygen passing coefficient can be acquired, a preset oxygen passing rate is acquired, sufficient oxygen is provided for aerobic bacteria in sewage treatment, organic matters in the sewage can be sufficiently and effectively degraded, then the parameter acquisition module acquires a pretreatment value and a preset adjustment value, the pretreatment value and the preset adjustment value represent parameters reaching the sewage treatment standard, the soft measurement management platform acquires a preset dosage according to the pretreatment value and the preset adjustment value, so that the dosage can be sufficiently removed according to the addition of a chemical to the sewage, and the chemical supplement quantity can be timely adjusted by using the chemical supplement coefficient, and the sewage treatment quality is ensured.
In the description herein, references to the description of "one embodiment," "an example," "a specific example," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is illustrative and explanatory only, and it will be appreciated by those skilled in the art that various modifications, additions and substitutions can be made to the embodiments described without departing from the scope of the invention as defined in the appended claims.
Claims (8)
1. A sewage biochemical treatment soft measurement management system based on big data is characterized by comprising:
the soft measurement management platform is used for acquiring a preset oxygen introducing rate according to the oxygen introducing parameters and the average oxygen introducing ratio, sending the preset oxygen introducing rate to the oxygen control module, acquiring a preset dosing amount according to the management information, and sending the preset dosing amount to the dosing control module;
the process of acquiring the preset oxygen introduction rate by the soft measurement management platform is as follows:
acquiring all oxygen passing parameters in historical data and corresponding oxygen passing rates of the sewage treatment aeration fans, and respectively marking the oxygen passing parameters and the oxygen passing rates as oxygen passing parameters and oxygen passing rates;
acquiring the ratio of the oxygen passing rate to the oxygen passing parameter, and marking the ratio as the oxygen passing ratio;
sorting the oxygen passing ratios in the order from small to large, marking the oxygen passing ratio at the middle position as a middle oxygen passing ratio, and if the number of the oxygen passing ratios at the middle position is two, solving the average value of the two oxygen passing ratios and marking the average value as the middle oxygen passing ratio;
screening out the oxygen passing ratios at the first position and the last position, and analyzing the rest oxygen passing ratios to obtain a partial oxygen value;
comparing the oxygen bias value with a preset oxygen bias threshold value;
if the partial oxygen value is less than the preset partial oxygen threshold value, marking the oxygen passing ratio corresponding to the partial oxygen value as a selected oxygen passing ratio;
summing all the selected oxygen passing ratios and averaging the selected oxygen passing ratios to obtain a mean oxygen passing ratio;
obtaining the product of the received oxygen passing parameter and the average oxygen passing ratio, and marking the product as a preset oxygen passing rate;
sending a preset oxygen introducing rate to an oxygen control module;
the process of acquiring the preset dosing amount by the soft measurement management platform is as follows:
analyzing the pretreatment value and the pre-regulation value to obtain a dosing coefficient;
matching the dosing coefficient with all dosing quantities, wherein each dosing quantity corresponds to a dosing coefficient value interval;
if the dosing coefficient belongs to the dosing coefficient value range, marking the dosing amount corresponding to the dosing coefficient value range as a preset dosing amount and sending the preset dosing amount to the dosing control module;
the oxygen control module is used for adjusting the oxygen introducing rate of the sewage treatment aeration fan according to the preset oxygen introducing rate;
and the dosing control module is used for adding a dosing agent into the sewage according to a preset dosing amount.
2. The soft measurement management system for biochemical treatment of sewage based on big data according to claim 1, further comprising:
the parameter acquisition module is used for acquiring environmental information and management information and respectively sending the environmental information and the management information to the parameter analysis module and the soft measurement management platform; the environment information comprises a comprehensive temperature value, a wind speed value and an air pressure value; the management information includes a pre-process value and a pre-condition value.
3. The soft measurement management system for sewage biochemical treatment based on big data according to claim 2, wherein the process of the parameter collection module collecting the environmental information is as follows:
collecting the environmental temperature and the sewage water temperature, respectively marking the environmental temperature and the sewage water temperature as an environment temperature value and a sewage temperature value, and analyzing the environment temperature value and the sewage temperature value to obtain an integrated temperature value;
collecting the wind speed at a preset distance above the sewage level, and marking the wind speed as a wind speed value;
collecting the air pressure speed at a preset distance above the sewage level, and marking the air pressure speed as an air pressure value;
and sending the comprehensive temperature value, the wind speed value and the air pressure value to a parameter analysis module.
4. The soft measurement management system for sewage biochemical treatment based on big data according to claim 2, wherein the process of the parameter collection module collecting management information is as follows:
collecting a sewage value and a sewage value after oxygen introduction treatment, and respectively marking the sewage value and the sewage value as a first post-oxidation value and a second post-oxidation value;
acquiring a standard value of sewage discharge, and marking the standard value as a standard value;
acquiring a standard range value of the sewage discharge value, acquiring a maximum value and a minimum value of the standard range value, and marking the maximum value and the minimum value as an upper standard value and a lower standard value respectively;
obtaining the average value of the standard upper value and the standard lower value, and marking the average value as a standard average value;
acquiring a difference value between the first post-oxidation value and a standard value, marking the difference value as a pretreatment value, acquiring a difference value between the second post-oxidation value and a standard mean value, and marking the difference value as a pre-regulation value;
and sending the pre-processing value and the pre-processing value to a soft measurement management platform.
5. The big data-based soft measurement management system for biochemical treatment of sewage according to claim 4, further comprising:
and the parameter analysis module is used for acquiring the oxygen passing coefficient according to the environmental information, acquiring the oxygen passing parameter according to the oxygen passing coefficient and the sewage quantity and sending the oxygen passing parameter to the soft measurement management platform.
6. The soft measurement management system for sewage biochemical treatment based on big data according to claim 5, wherein the process of acquiring the oxygen passing coefficient by the parameter analysis module is as follows:
analyzing the comprehensive temperature value, the wind speed value and the air pressure value to obtain an oxygen passing coefficient;
taking the total mass of sewage, and marking the total mass as the sewage quantity;
analyzing the sewage quantity and the oxygen passing coefficient to obtain an oxygen passing parameter;
and sending the oxygen introduction parameters to a soft measurement management platform.
7. The soft measurement management system for biochemical treatment of sewage based on big data as claimed in claim 1, wherein the specific process of the oxygen control module adjusting the aeration rate according to the preset aeration rate is as follows:
and after receiving the preset oxygen passing rate, adjusting the oxygen passing rate of the sewage treatment aeration fan, enabling the oxygen passing rate to = the preset oxygen passing rate, simultaneously generating an oxygen adjusting signal, and sending the oxygen passing rate and the oxygen adjusting signal to a soft measurement management platform.
8. The soft measurement management system for biochemical treatment of sewage based on big data as claimed in claim 1, wherein the specific process of adding the medicament by the medicament adding control module according to the preset medicament adding amount is as follows:
adding a medicament with a preset medicament adding amount into the sewage after receiving the preset medicament adding amount;
collecting the post-dosing value after dosing treatment;
comparing the post-dose value with a standard value:
if the post-dosing value is larger than the standard value, generating a dosing error instruction, and collecting time parameters and environmental parameters of the medicament;
analyzing the time parameter and the environment parameter to obtain an error factor epsilon;
sending the dosing error instruction, the post-dosing value and the error factor epsilon to a soft measurement management platform;
and acquiring the product of the drug supplementing coefficient and the preset drug adding amount, marking the product as the drug supplementing amount, and supplementing the drug to the sewage according to the drug supplementing amount.
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