CN116282497A - Medical wastewater treatment system and treatment method - Google Patents
Medical wastewater treatment system and treatment method Download PDFInfo
- Publication number
- CN116282497A CN116282497A CN202310012539.8A CN202310012539A CN116282497A CN 116282497 A CN116282497 A CN 116282497A CN 202310012539 A CN202310012539 A CN 202310012539A CN 116282497 A CN116282497 A CN 116282497A
- Authority
- CN
- China
- Prior art keywords
- medical wastewater
- aerobic tank
- medical
- evaluation value
- treatment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004065 wastewater treatment Methods 0.000 title claims abstract description 54
- 238000000034 method Methods 0.000 title claims abstract description 43
- 239000002351 wastewater Substances 0.000 claims abstract description 232
- 238000011156 evaluation Methods 0.000 claims abstract description 110
- 238000001514 detection method Methods 0.000 claims abstract description 78
- 230000000875 corresponding effect Effects 0.000 claims abstract description 70
- 238000012545 processing Methods 0.000 claims abstract description 41
- 238000005273 aeration Methods 0.000 claims abstract description 40
- 230000008569 process Effects 0.000 claims abstract description 19
- 238000004088 simulation Methods 0.000 claims abstract description 10
- 230000002596 correlated effect Effects 0.000 claims abstract description 5
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 54
- 239000001301 oxygen Substances 0.000 claims description 54
- 229910052760 oxygen Inorganic materials 0.000 claims description 54
- 239000010802 sludge Substances 0.000 claims description 21
- 230000008021 deposition Effects 0.000 claims description 8
- 238000011217 control strategy Methods 0.000 claims description 7
- 238000012937 correction Methods 0.000 claims description 6
- 238000004062 sedimentation Methods 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 2
- 238000003911 water pollution Methods 0.000 abstract description 5
- 230000006870 function Effects 0.000 description 13
- 230000000694 effects Effects 0.000 description 6
- 238000004590 computer program Methods 0.000 description 4
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000007812 deficiency Effects 0.000 description 3
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 229910052799 carbon Inorganic materials 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- ZAMOUSCENKQFHK-UHFFFAOYSA-N Chlorine atom Chemical compound [Cl] ZAMOUSCENKQFHK-UHFFFAOYSA-N 0.000 description 1
- XFXPMWWXUTWYJX-UHFFFAOYSA-N Cyanide Chemical compound N#[C-] XFXPMWWXUTWYJX-UHFFFAOYSA-N 0.000 description 1
- 238000001276 Kolmogorov–Smirnov test Methods 0.000 description 1
- JVMRPSJZNHXORP-UHFFFAOYSA-N ON=O.ON=O.ON=O.N Chemical compound ON=O.ON=O.ON=O.N JVMRPSJZNHXORP-UHFFFAOYSA-N 0.000 description 1
- 229910019142 PO4 Inorganic materials 0.000 description 1
- UCKMPCXJQFINFW-UHFFFAOYSA-N Sulphide Chemical compound [S-2] UCKMPCXJQFINFW-UHFFFAOYSA-N 0.000 description 1
- MMDJDBSEMBIJBB-UHFFFAOYSA-N [O-][N+]([O-])=O.[O-][N+]([O-])=O.[O-][N+]([O-])=O.[NH6+3] Chemical compound [O-][N+]([O-])=O.[O-][N+]([O-])=O.[O-][N+]([O-])=O.[NH6+3] MMDJDBSEMBIJBB-UHFFFAOYSA-N 0.000 description 1
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 description 1
- 150000001450 anions Chemical class 0.000 description 1
- 150000001768 cations Chemical class 0.000 description 1
- 239000000460 chlorine Substances 0.000 description 1
- 229910052801 chlorine Inorganic materials 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 229910001385 heavy metal Inorganic materials 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000012528 membrane Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 235000021049 nutrient content Nutrition 0.000 description 1
- 150000002894 organic compounds Chemical class 0.000 description 1
- 239000005416 organic matter Substances 0.000 description 1
- 239000000575 pesticide Substances 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- NBIIXXVUZAFLBC-UHFFFAOYSA-K phosphate Chemical compound [O-]P([O-])([O-])=O NBIIXXVUZAFLBC-UHFFFAOYSA-K 0.000 description 1
- 239000010452 phosphate Substances 0.000 description 1
- 125000005575 polycyclic aromatic hydrocarbon group Chemical group 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 231100000331 toxic Toxicity 0.000 description 1
- 230000002588 toxic effect Effects 0.000 description 1
Images
Classifications
-
- 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
-
- 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
- C02F3/006—Regulation methods for biological treatment
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
- G01N33/1806—Water biological or chemical oxygen demand (BOD or COD)
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2103/00—Nature of the water, waste water, sewage or sludge to be treated
- C02F2103/003—Wastewater from hospitals, laboratories and the like, heavily contaminated by pathogenic microorganisms
-
- 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
- C02F2209/06—Controlling or monitoring parameters in water treatment pH
-
- 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
- C02F2209/08—Chemical Oxygen Demand [COD]; Biological Oxygen Demand [BOD]
-
- 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
-
- 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 discloses a medical wastewater treatment system and a treatment method, which relate to the technical field of medical wastewater treatment and comprise the steps of detecting the medical wastewater state in an aerobic tank for the first time by a first detection unit and establishing a first medical wastewater data set; transmitting the first medical wastewater data set to a first processing unit to form a first medical wastewater evaluation value Po, establishing an aeration digital twin model when the processing state does not reach the expectation, simulating the medical wastewater processing process, and outputting a corresponding adjustment strategy according to a simulation result; sending the adjustment strategy to the control unit, and executing by the adjustment unit; aerating the medical wastewater by an aerobic tank, acquiring a first medical wastewater evaluation value Po again, and sending out early warning when the first medical wastewater evaluation value Po still exceeds a corresponding threshold value; representative water pollution data are correlated together, the medical wastewater treatment progress is evaluated from different dimensions, and the coverage of the evaluation result is wider than that of a single factor.
Description
Technical Field
The invention relates to the technical field of medical wastewater treatment, in particular to a medical wastewater treatment system and a treatment method.
Background
By generating the first medical wastewater evaluation value Po, three representative water pollution data of the temperature T, the biochemical oxygen demand BOD and the turbidity Hz are related together, the medical wastewater treatment progress is evaluated from different dimensions, and compared with a single factor, after three or more factors are related together, the coverage of the evaluation result is wider and more comprehensive.
When the device is used, the medical wastewater treatment progress in the aerobic tank is evaluated in a multi-factor and multi-angle manner through the cooperation between the first detection unit and the first treatment unit, and an adjustment strategy is formed according to the evaluation result and the aeration digital twin model and aiming at the current deficiency in the aerobic tank, so that the medical wastewater in the aerobic tank is subjected to targeted treatment, the aeration efficiency is improved, and the medical wastewater treatment efficiency is accelerated; and according to the established aeration digital twin model, an adjustment strategy is obtained, so that the pertinence of the strategy is better, and the effect is quicker compared with a common adjustment scheme.
After the medical wastewater state in the aerobic tank is determined, acquiring the characteristics corresponding to the current wastewater state, and selecting a corresponding treatment scheme for accelerating the treatment of the medical wastewater according to the wastewater characteristics, thereby improving the treatment efficiency of the medical wastewater; and the time for the user to determine the processing scheme by himself can be saved by automatically acquiring the corresponding processing scheme.
When judging the wastewater treatment progress in the aerobic tank, in the existing method, the color, smell and duration of the water body are usually obtained, and a user mainly relies on experience to analyze and judge, but the mode of judging the reaction progress in the aerobic tank mainly relies on experience is not very accurate, the adjustment of the reaction in the aerobic tank is relatively low in pertinence, the decomposition reaction efficiency in the aerobic tank is further slowed down, and negative effects are formed on the treatment of medical wastewater.
Therefore, a medical wastewater treatment system and a treatment method are provided.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a medical wastewater treatment system and a treatment method, wherein a first detection unit is used for detecting the medical wastewater state in an aerobic tank for the first time to establish a first medical wastewater data set; transmitting the first medical wastewater data set to a first processing unit to form a first medical wastewater evaluation value Po, establishing an aeration digital twin model when the processing state does not reach the expectation, simulating the medical wastewater processing process, and outputting a corresponding adjustment strategy according to a simulation result; sending the adjustment strategy to the control unit, and executing by the adjustment unit; aerating the medical wastewater by an aerobic tank, acquiring a first medical wastewater evaluation value Po again, and sending out early warning when the first medical wastewater evaluation value Po still exceeds a corresponding threshold value; representative water pollution data are correlated together, the medical wastewater treatment progress is evaluated from different dimensions, and compared with a single factor, the evaluation result has wider coverage, so that the problems in the background technology are solved.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: a medical wastewater treatment system comprises the steps of introducing medical wastewater into an aerobic tank, detecting the medical wastewater in the aerobic tank by a sludge deposition detection unit after a preset time, acquiring a sludge volume index and comparing the sludge volume index with a corresponding threshold value, and if the sludge volume index exceeds the threshold value range, detecting the medical wastewater state in the aerobic tank for the first time by a first detection unit to establish a first medical wastewater data set;
the first medical wastewater data set is sent to a first processing unit, and after correlation, a first medical wastewater evaluation value Po is formed, and the medical wastewater treatment state in the aerobic tank is evaluated; when the treatment state does not reach the expectation, an aeration digital twin model is established, the treatment process of the medical wastewater is simulated, and a corresponding adjustment strategy is output according to the simulation result;
the adjustment strategy is sent to the control unit, and the control unit forms a corresponding control strategy and is executed by the adjustment unit; aerating the medical wastewater by an aerobic tank, acquiring a first medical wastewater evaluation value Po again after a preset time, and sending out an early warning by a warning unit when the first medical wastewater evaluation value Po still exceeds a corresponding threshold value;
after the early warning is acquired, the second detection unit detects the medical wastewater state in the aerobic tank for the second time, and a second medical wastewater data set is established; after the second medical wastewater data set is sent to the evaluation module, a second medical wastewater evaluation value Pt is obtained; judging whether the second medical wastewater evaluation value Pt exceeds a threshold value or not, and acquiring a judgment result; and comparing the second medical wastewater evaluation value Pt with a corresponding threshold according to a judgment result, judging whether the threshold is exceeded, detecting the medical wastewater in the aerobic tank by a second processing unit if the threshold is still exceeded, judging pollution characteristics in the current medical wastewater treatment process according to the acquired detection data, acquiring a corresponding treatment scheme according to the pollution characteristics, and outputting the treatment scheme.
Further, the first detection unit comprises a temperature detection module, a BOD online detector and a turbidity detection module;
the temperature in the aerobic tank is periodically detected by a temperature detection module to form a temperature T; the BOD on-line detector detects the biochemical oxygen demand in the aerobic tank to form biochemical oxygen demand BOD; the turbidity detection module is used for periodically detecting the turbidity of the medical wastewater in the aerobic tank to form a turbidity Hz;
acquiring the temperature T, the biochemical oxygen demand BOD and the turbidity Hz, and establishing a first medical wastewater data set.
Further, the first processing unit comprises an evaluation module, a judging module, an analyzing module and a modeling module, a first medical wastewater data set is sent to the evaluation module, the evaluation module acquires the current acquisition temperature T, the current biochemical oxygen demand BOD and the current turbidity Hz, and the first medical wastewater evaluation value Po is acquired by correlating after dimensionless treatment;
and sending the first medical wastewater evaluation value Po to a judging module, and comparing the first medical wastewater evaluation value Po with a corresponding threshold value by the judging module to judge whether the first medical wastewater evaluation value Po exceeds the threshold value or not and obtain a comparison result.
Further, the manner of obtaining the first medical wastewater evaluation value Po conforms to the following formula:
wherein ,
，
，
is a proportionality coefficient, and
the user changes according to actual experience
The first medical wastewater evaluation value Po is corrected, D is a constant correction coefficient, and R is a correlation coefficient between the temperature T and the biochemical oxygen demand BOD.
Further, when the first medical wastewater evaluation value Po exceeds the threshold value, acquiring a part exceeding or about to exceed the threshold value in the temperature T, the biochemical oxygen demand BOD and the turbidity Hz by an analysis module; retrieving and acquiring the specification data of the aerobic tank and the state data of medical wastewater in the aerobic tank by a modeling module, and establishing an aeration digital twin model;
according to the aeration digital twin model, one or more of the temperature T, the biochemical oxygen demand BOD and the turbidity Hz are changed through an analysis module, the aeration digital twin model is used for simulation, the aeration result of the medical wastewater is judged, and if the aeration result is better than the expected value, the regulation strategy of the medical wastewater in the aerobic tank is output.
Further, the temperature T, the biochemical oxygen demand BOD and the turbidity Hz which do not exceed the threshold value are obtained and used as the sub-factors;
acquiring a plurality of groups of data corresponding to the subfractions from the first medical wastewater data set along the time axis, and performing function fitting according to the variation trend of the subfractions along the time axis to acquire a fitting function; and (3) checking the fitting function through K-S, determining the validity of the fitting function, and if so, acquiring the value of the next moment of the subfactor according to the fitting function to be used as the subfactor predicted value, and judging whether the subfactor predicted value exceeds a corresponding threshold.
Further, the second detection unit comprises a pH detection unit and an oxygen content detection module; the pH value in the medical wastewater is detected by the pH detection unit to obtain pH value and the oxygen content in the medical wastewater is detected by the oxygen content detection module to form oxygen content O; and acquiring and summarizing the oxygen content O and the pH value and establishing a second medical wastewater data set.
Further, the second medical wastewater data set is sent to an evaluation module, oxygen content O and pH value are obtained, dimensionless treatment is carried out, and after association, a second medical wastewater evaluation value Pt is obtained; the method for acquiring the second medical wastewater evaluation value Pt accords with the following formula:
wherein ,
，
and, in addition, the method comprises,
the specific value of the weight is adjusted and set by a user, and C is a constant correction coefficient.
Further, the second processing unit comprises a pollution characteristic library, a processing scheme library and an output module;
when the second medical wastewater evaluation value Pt is larger than a threshold value, the pollution characteristics of the medical wastewater in the aerobic tank are acquired by the pollution characteristics library according to a plurality of detection modules, the pollution characteristics are sent to the treatment scheme library, and a treatment scheme corresponding to the pollution characteristics is searched in the treatment scheme library;
if the treatment scheme is retrieved, verifying the feasibility of the treatment scheme according to the aeration digital twin model, and if the treatment scheme is feasible, outputting the treatment scheme by an output module; after the treatment scheme is executed, medical wastewater in the aerobic tank is transferred to a sedimentation tank; if the corresponding processing scheme is not retrieved or is not feasible after the processing scheme is verified, the alarm module alarms to the outside.
The medical wastewater treatment method comprises the steps of introducing medical wastewater into an aerobic tank, detecting the medical wastewater in the aerobic tank by a sludge deposition detection unit after a preset time, obtaining a sludge volume index, comparing the sludge volume index with a corresponding threshold value, and obtaining a comparison result; according to the comparison result, a first detection unit detects the medical wastewater state in the aerobic tank for the first time, and a first medical wastewater data set is established; the first medical wastewater data set is sent to a first processing unit, a first medical wastewater evaluation value Po is formed in a correlated mode, and the medical wastewater treatment state in the aerobic tank is evaluated;
when the treatment state does not reach the expectation, an aeration digital twin model is established, the treatment process of the medical wastewater is simulated, a corresponding adjustment strategy is output according to a simulation result, the adjustment strategy is sent to a control unit, a corresponding control strategy is formed, and the adjustment unit executes the adjustment strategy; the method comprises the steps that after the medical wastewater is aerated by an aerobic tank for more than a preset time, a first medical wastewater evaluation value Po is obtained again, and when the first medical wastewater evaluation value Po still exceeds a corresponding threshold value, an early warning unit sends out early warning;
after the early warning is acquired, the second detection unit detects the medical wastewater state in the aerobic tank for the second time, a second medical wastewater data set is established, and the second medical wastewater data set is sent to the evaluation module to acquire a second medical wastewater evaluation value Pt; judging whether the second medical wastewater evaluation value Pt exceeds a threshold value, comparing the second medical wastewater evaluation value Pt with a corresponding threshold value according to a judging result, judging whether the second medical wastewater evaluation value Pt exceeds the threshold value, detecting the medical wastewater in the aerobic tank by a second processing unit if the second medical wastewater evaluation value Pt still exceeds the threshold value, judging pollution characteristics in the current medical wastewater treatment process according to the acquired detection data, acquiring a corresponding pre-stored treatment scheme according to the pollution characteristics, and outputting the corresponding pre-stored treatment scheme.
(III) beneficial effects
The invention provides a medical wastewater treatment system and a treatment method. The beneficial effects are as follows:
by generating the first medical wastewater evaluation value Po, three representative water pollution data of the temperature T, the biochemical oxygen demand BOD and the turbidity Hz are related together, the medical wastewater treatment progress is evaluated from different dimensions, and after three or more factors are related together relative to a single factor, the evaluation result coverage is wider and more comprehensive.
When the device is used, the medical wastewater treatment progress in the aerobic tank is evaluated in a multi-factor and multi-angle manner through the cooperation between the first detection unit and the first treatment unit, and an adjustment strategy is formed according to the evaluation result and the aeration digital twin model and aiming at the current deficiency in the aerobic tank, so that the medical wastewater in the aerobic tank is subjected to targeted treatment, the aeration efficiency is improved, and the medical wastewater treatment efficiency is accelerated; and according to the established aeration digital twin model, an adjustment strategy is obtained, so that the pertinence of the strategy is better, and the effect is quicker compared with a common adjustment scheme.
After the medical wastewater state in the aerobic tank is determined, acquiring the characteristics corresponding to the current wastewater state, and selecting a corresponding treatment scheme for accelerating the treatment of the medical wastewater according to the wastewater characteristics, thereby improving the treatment efficiency of the medical wastewater; and the time for the user to determine the processing scheme by himself can be saved by automatically acquiring the corresponding processing scheme.
Drawings
FIG. 1 is a schematic diagram of a first detection flow of a medical wastewater treatment system of the present invention;
FIG. 2 is a schematic diagram of a second detection flow scheme of the medical wastewater treatment system of the present invention;
FIG. 3 is a schematic view of a process flow of an A/O-MBR membrane for a medical wastewater treatment system according to the present invention;
in the figure:
10. a sludge deposition detection unit; 20. a first detection unit; 21. a temperature detection module; 22. a BOD on-line detector; 23. a turbidity detection module;
30. a first processing unit; 31. an evaluation module; 32. a judging module; 33. an analysis module; 34. a modeling module;
40. a control unit; 50. an adjusting unit; 60. an early warning unit; 70. a second detection unit; 71. a pH detection unit; 72. an oxygen content detection module; 80. an evaluation module;
90. a second processing unit; 91. a pollution feature library; 92. a processing scheme library; 93. an output module; 100. and an alarm module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1-2, the present invention provides a medical wastewater treatment system, which includes a sludge deposition detection unit 10, a first detection unit 20, a first treatment unit 30, a control unit 40, an adjustment unit 50, an early warning unit 60, a second detection unit 70, an evaluation module 80, and a second treatment unit 90;
after medical wastewater is led into an aerobic tank and a preset time passes, the medical wastewater in the aerobic tank is detected by a sludge deposition detection unit 10, the sludge volume index is obtained and is compared with a corresponding threshold value, and if the sludge volume index exceeds the threshold value range; the aeration degree is not expected, under the condition, the first detection unit 20 detects the medical wastewater state in the aerobic tank for the first time, establishes a first medical wastewater data set, and uploads the first medical wastewater data set to the cloud, so that the first detection of the medical wastewater in the aerobic tank is completed;
referring to fig. 1, the first detection unit 20 includes a temperature detection module 21, a BOD online detector 22, and a turbidity detection module 23, which are all disposed inside the aerobic tank, and have online detection capability, and can periodically detect various data in the aerobic tank and upload the data to the cloud;
the temperature detection module 21 periodically detects the temperature in the aerobic tank, and outputs temperature data at fixed intervals along a time axis to form a temperature T;
correspondingly, along the time axis, the BOD on-line detector 22 detects the biochemical oxygen demand in the aerobic tank, and outputs the biochemical oxygen demand at fixed intervals to form the biochemical oxygen demand BOD;
under the condition that the light meets the condition, the turbidity detection module 23 periodically detects the turbidity of the medical wastewater in the aerobic tank, and outputs the turbidity at fixed intervals along a time axis to form a turbidity Hz;
acquiring the temperature T, the biochemical oxygen demand BOD and the turbidity Hz, establishing a first medical wastewater data set, and uploading the first medical wastewater data set to the cloud.
In practice, when medical wastewater in an aerobic tank is treated, the indexes are more, and the treatment method can be divided into four types: a: general water quality indexes such as pH value, hardness, alkalinity, residual chlorine, various anions, cations and the like; b: organic matter content index, biochemical oxygen demand BODs, chemical oxygen demand CODa, total oxygen demand TOD, total organic carbon TOC, etc.; c: plant nutrient content indicators such as ammonia nitrogen, nitrate nitrogen, nitrite nitrogen, phosphate, etc.; d: toxic material index such as petroleum, heavy metal, cyanide, sulfide, polycyclic aromatic hydrocarbon, various chlorinated organic compounds, various pesticides, etc.
In this scheme, in order to reduce complexity, only three representative ones of the first medical wastewater data sets are selected as parameters for evaluating the medical wastewater treatment state in the aerobic tank when the first medical wastewater data set is established.
The temperature detection module 21, the BOD on-line detector 22 and the turbidity detection module 23 are all periodically detected, so that the obtained temperature T, the biochemical oxygen demand BOD and the turbidity Hz all have a plurality of groups, and a plurality of groups of data can be obtained when needed to further process.
Referring to fig. 1, a first medical wastewater data set is sent to a first processing unit 30, and after correlation, a first medical wastewater evaluation value Po is formed to evaluate the medical wastewater treatment state in an aerobic tank;
when the treatment state does not reach the expectation, an aeration digital twin model is established, the treatment process of the medical wastewater is simulated, and a corresponding adjustment strategy is output according to the simulation result;
the adjustment strategy is sent to the control unit 40, and the control unit 40 forms a corresponding control strategy to be executed by the adjustment unit 50;
the medical wastewater is aerated by the aerobic tank, the first medical wastewater evaluation value Po is acquired again after the preset time, and the early warning unit 60 sends out early warning when the first medical wastewater evaluation value Po still exceeds the corresponding threshold value.
Referring to fig. 1, the first processing unit 30 includes an evaluation module 31, a judgment module 32, an analysis module 33, and a modeling module 34, wherein,
the first medical wastewater data set is sent to an evaluation module 31, the current acquisition temperature T, the current biochemical oxygen demand BOD and the current turbidity Hz are acquired by the evaluation module 31, dimensionless treatment is carried out, and then association is carried out, so that a first medical wastewater evaluation value Po is acquired;
the first medical wastewater evaluation value Po is sent to a judging module 32, the judging module 32 compares the first medical wastewater evaluation value Po with a corresponding threshold value, judges whether the first medical wastewater evaluation value Po exceeds the threshold value, and obtains a comparison result;
if the aeration effect of the medical wastewater is not expected, if the aeration effect of the medical wastewater is not exceeded, the aeration is proved to be expected, and the next process can be performed;
the method for acquiring the first medical wastewater evaluation value Po conforms to the following formula:
wherein ,
，
，
is a proportionality coefficient, and
the user changes according to actual experience
The first medical wastewater evaluation value Po is corrected, D is a constant correction coefficient, and R is a correlation coefficient between the temperature T and the biochemical oxygen demand BOD.
When the medical wastewater treatment system is used, three representative water pollution data of the temperature T, the biochemical oxygen demand BOD and the turbidity Hz are related together by generating the first medical wastewater evaluation value Po, the medical wastewater treatment progress is evaluated from different dimensions, and after three or more factors are related together relative to a single factor, the coverage of the evaluation result is wider and more comprehensive.
Referring to fig. 1, when the first medical wastewater evaluation value Po exceeds the threshold value, a portion of the temperature T, the biochemical oxygen demand BOD, and the turbidity Hz that exceeds or is about to exceed the threshold value is acquired by the analysis module 33;
retrieving and acquiring the specification data of the aerobic tank and the state data of medical wastewater in the aerobic tank, such as index data of the medical wastewater, and the like by a modeling module 34, and establishing an aeration digital twin model;
changing one or more of the values of the temperature T, the biochemical oxygen demand BOD and the turbidity Hz by an analysis module 33 according to the aeration digital twin model, simulating by the aeration digital twin model, judging the aeration result of the medical wastewater,
and if the aeration result is better than the expected result, outputting an adjustment strategy for the medical wastewater in the aerobic tank.
Wherein, the temperature T, the biochemical oxygen demand BOD and the turbidity Hz are taken continuously along the time axis in the first medical wastewater data set, so that the first medical wastewater data set has a plurality of groups;
acquiring the temperature T, the biochemical oxygen demand BOD and the turbidity Hz which do not exceed a threshold value as sub-factors;
acquiring a plurality of groups of data corresponding to the subfractions from the first medical wastewater data set along the time axis, and performing function fitting according to the variation trend of the subfractions along the time axis to acquire a fitting function;
the fitting function is subjected to K-S test, the effectiveness of the fitting function is determined, if the effectiveness is achieved, the value of the next moment of the subfactor is obtained according to the fitting function and is used as a subfactor predicted value, and whether the subfactor predicted value exceeds a corresponding threshold value is judged;
if the predicted value of the sub-factor exceeds the threshold, judging that the sub-factor which does not exceed the threshold at present is about to exceed the threshold, and affecting the treatment progress of the medical wastewater;
if the predicted value of the sub-factor does not exceed the threshold, the situation that the threshold is not exceeded in a short period of time can be judged, and the treatment progress of the medical wastewater is not affected in a short period of time.
When the device is used, the medical wastewater treatment progress in the aerobic tank is evaluated in a multi-factor and multi-angle manner through the cooperation between the first detection unit 20 and the first treatment unit 30, and an adjustment strategy is formed according to the evaluation result and the aeration digital twin model aiming at the current deficiency in the aerobic tank, so that the medical wastewater in the aerobic tank is subjected to targeted treatment, the aeration efficiency is improved, and the medical wastewater treatment efficiency is accelerated; and according to the established aeration digital twin model, an adjustment strategy is obtained, so that the pertinence of the strategy is better, and the effect is quicker compared with a common adjustment scheme.
Referring to fig. 2, after the early warning is acquired, the second detection unit 70 performs a second detection on the medical wastewater state inside the aerobic tank, and establishes a second medical wastewater data set;
after the second medical wastewater data set is sent to the evaluation module 80, a second medical wastewater evaluation value Pt is acquired;
judging whether the second medical wastewater evaluation value Pt exceeds a threshold value, acquiring a judgment result, and if the judgment result exceeds the threshold value, judging that the aeration treatment of the medical wastewater is not as expected; the next process is required.
Wherein the second detecting unit 70 includes a pH detecting unit 71 and an oxygen content detecting module 72;
detecting the pH value in the medical wastewater by the pH detection unit 71 to obtain pH value, and detecting the oxygen content in the medical wastewater by the oxygen content detection module 72 to form oxygen content O;
acquiring and summarizing oxygen content O and pH value and establishing a second medical wastewater data set;
the second medical wastewater data set is sent to an evaluation module 80, oxygen content O and pH value are obtained, dimensionless treatment is carried out, and after correlation, a second medical wastewater evaluation value Pt is obtained;
the method for acquiring the second medical wastewater evaluation value Pt accords with the following formula:
wherein ,
，
and (2) and
，
the specific value of the weight is adjusted and set by a user, and C is a constant correction coefficient.
Referring to fig. 2, comparing the second medical wastewater evaluation value Pt with a corresponding threshold value, judging whether the threshold value is exceeded, and if the threshold value is still exceeded, it can be stated that the medical wastewater treatment still does not reach the expectations;
the second processing unit 90 detects the medical wastewater in the aerobic tank, determines the pollution characteristics of the current medical wastewater treatment process according to the acquired detection data, such as conductivity, solid content, hardness, alkalinity, total organic carbon and the like, and acquires and outputs a corresponding treatment scheme according to the pollution characteristics.
It should be noted that, at present, the treatment schemes aiming at each pollution feature are all pre-stored, when medical wastewater treatment is obtained, and when a certain medical wastewater index exceeds a threshold value, a corresponding treatment method can be judged and determined according to the medical wastewater index, for example, if the oxygen content is too low, oxygen is supplemented into an aerobic tank, and when the temperature is lower than the threshold value, the temperature is adjusted.
Referring to fig. 2, the second processing unit 90 includes a pollution characteristics library 91, a processing scheme library 92, and an output module 93;
when the second medical wastewater evaluation value Pt is larger than the threshold value, the pollution characteristics of the medical wastewater in the aerobic tank are acquired by the pollution characteristics library 91 according to a plurality of detection modules, the pollution characteristics are sent to the treatment scheme library 92, and a treatment scheme corresponding to the pollution characteristics is searched in the treatment scheme library 92;
if the treatment scheme is retrieved, verifying the feasibility of the treatment scheme according to the aeration digital twin model, and if the treatment scheme is feasible, outputting the treatment scheme by an output module 93;
after the treatment scheme is executed, medical wastewater in the aerobic tank is transferred to a sedimentation tank;
if the corresponding treatment plan is not retrieved or is not feasible after verification of the treatment plan, the alarm module 100 alarms the outside and is manually intervened.
When in use, through the pollution characteristic library 91, the treatment scheme library 92 and the output module 93, after the medical wastewater state in the aerobic tank is determined by the prepared treatment scheme, the characteristics corresponding to the current wastewater state are acquired, and the corresponding treatment scheme for accelerating the treatment of the medical wastewater is selected according to the wastewater characteristics, so that the treatment efficiency of the medical wastewater is improved; and the time for the user to determine the processing scheme by himself can be saved by automatically acquiring the corresponding processing scheme.
Further, in the conventional method, when judging the progress of wastewater treatment in the aerobic tank, the user is usually based on the experience of the water body color, smell and duration, and in the scheme, the first detection unit 20 and the second detection unit 70 are provided to perform comprehensive analysis based on a plurality of factors, so that quantitative judgment is more accurate than the judgment of the factors such as the water body color, smell and the like.
Example 2
Referring to fig. 1-3, the present invention provides a method for treating medical wastewater, including introducing medical wastewater into an aerobic tank and detecting the medical wastewater in the aerobic tank by a sludge deposition detection unit after a predetermined time, obtaining a sludge volume index and comparing the sludge volume index with a corresponding threshold value to obtain a comparison result; according to the comparison result, a first detection unit detects the medical wastewater state in the aerobic tank for the first time, and a first medical wastewater data set is established; the first medical wastewater data set is sent to a first processing unit, a first medical wastewater evaluation value Po is formed in a correlated mode, and the medical wastewater treatment state in the aerobic tank is evaluated;
when the treatment state does not reach the expectation, an aeration digital twin model is established, the treatment process of the medical wastewater is simulated, a corresponding adjustment strategy is output according to a simulation result, the adjustment strategy is sent to a control unit, a corresponding control strategy is formed, and the adjustment unit executes the adjustment strategy; the method comprises the steps that after the medical wastewater is aerated by an aerobic tank for more than a preset time, a first medical wastewater evaluation value Po is obtained again, and when the first medical wastewater evaluation value Po still exceeds a corresponding threshold value, an early warning unit sends out early warning;
after the early warning is acquired, the second detection unit detects the medical wastewater state in the aerobic tank for the second time, a second medical wastewater data set is established, and the second medical wastewater data set is sent to the evaluation module to acquire a second medical wastewater evaluation value Pt; judging whether the second medical wastewater evaluation value Pt exceeds a threshold value, comparing the second medical wastewater evaluation value Pt with a corresponding threshold value according to a judging result, judging whether the second medical wastewater evaluation value Pt exceeds the threshold value, detecting the medical wastewater in the aerobic tank by a second processing unit if the second medical wastewater evaluation value Pt still exceeds the threshold value, judging pollution characteristics in the current medical wastewater treatment process according to the acquired detection data, acquiring a corresponding pre-stored treatment scheme according to the pollution characteristics, and outputting the corresponding pre-stored treatment scheme.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with the embodiments of the present application are all or partially produced. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the elements is merely a division of some logic functions, and there may be additional divisions in actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, or other various media capable of storing program codes.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention, but to enable any modification, equivalent or improvement to be made without departing from the spirit and principles of the invention.
Claims (10)
1. A medical wastewater treatment system, characterized in that: comprising the steps of (a) a step of,
after medical wastewater is led into an aerobic tank and a preset time passes, a sludge deposition detection unit (10) detects the medical wastewater in the aerobic tank, a sludge volume index is obtained and is compared with a corresponding threshold value, and if the sludge volume index exceeds the threshold value range, a first detection unit (20) detects the medical wastewater state in the aerobic tank for the first time, so as to establish a first medical wastewater data set;
the first medical wastewater data set is sent to a first processing unit (30), and after correlation, a first medical wastewater evaluation value Po is formed, and the medical wastewater treatment state in the aerobic tank is evaluated; when the treatment state does not reach the expectation, an aeration digital twin model is established, the treatment process of the medical wastewater is simulated, and a corresponding adjustment strategy is output according to the simulation result;
sending the adjustment strategy to a control unit (40), wherein the control unit (40) forms a corresponding control strategy and the corresponding control strategy is executed by an adjustment unit (50);
aerating the medical wastewater by an aerobic tank, acquiring a first medical wastewater evaluation value Po again after a preset time, and sending out early warning by an early warning unit (60) when the first medical wastewater evaluation value Po still exceeds a corresponding threshold value;
after the early warning is acquired, a second detection unit (70) detects the medical wastewater state in the aerobic tank for the second time, and a second medical wastewater data set is established; after the second medical wastewater data set is sent to the evaluation module (80), a second medical wastewater evaluation value Pt is acquired; judging whether the second medical wastewater evaluation value Pt exceeds a threshold value or not, and acquiring a judgment result; according to the judging result, the second medical wastewater evaluation value Pt is compared with the corresponding threshold value, whether the threshold value is exceeded or not is judged, if the threshold value is still exceeded,
the second processing unit (90) detects the medical wastewater in the aerobic tank, judges the pollution characteristics in the current medical wastewater treatment process according to the acquired detection data, acquires a corresponding treatment scheme according to the pollution characteristics and outputs the treatment scheme.
2. A medical wastewater treatment system according to claim 1 and wherein:
the first detection unit (20) comprises a temperature detection module (21), a BOD online detector (22) and a turbidity detection module (23);
the temperature in the aerobic tank is periodically detected by a temperature detection module (21) to form a temperature T; the BOD on-line detector (22) detects the biochemical oxygen demand in the aerobic tank to form biochemical oxygen demand BOD; the turbidity detection module (23) is used for periodically detecting the turbidity of the medical wastewater in the aerobic tank to form a turbidity Hz;
acquiring the temperature T, the biochemical oxygen demand BOD and the turbidity Hz, and establishing a first medical wastewater data set.
3. A medical wastewater treatment system according to claim 1 and wherein:
the first processing unit (30) comprises an evaluation module (31), a judging module (32), an analyzing module (33) and a modeling module (34),
the first medical wastewater data set is sent to an evaluation module (31), the current acquisition temperature T, the current biochemical oxygen demand BOD and the current turbidity Hz are acquired by the evaluation module (31), dimensionless treatment is carried out, and then association is carried out, so that a first medical wastewater evaluation value Po is acquired;
and sending the first medical wastewater evaluation value Po to a judging module (32), and comparing the first medical wastewater evaluation value Po with a corresponding threshold value by the judging module (32) to judge whether the first medical wastewater evaluation value Po exceeds the threshold value or not, and obtaining a comparison result.
4. A medical wastewater treatment system according to claim 3 and wherein:
the manner of obtaining the first medical wastewater evaluation value Po conforms to the following formula:
wherein ,
，
，
is a proportionality coefficient, and
the user changes according to actual experience
The first medical wastewater evaluation value Po is corrected, D is a constant correction coefficient, and R is a correlation coefficient between the temperature T and the biochemical oxygen demand BOD.
5. A medical wastewater treatment system according to claim 4 and wherein:
when the first medical wastewater evaluation value Po exceeds a threshold value, acquiring a part exceeding or about to exceed the threshold value in the temperature T, the biochemical oxygen demand BOD and the turbidity Hz by an analysis module (33);
retrieving and acquiring the specification data of the aerobic tank and the state data of medical wastewater in the aerobic tank by a modeling module (34), and establishing an aeration digital twin model;
according to the aeration digital twin model, one or more of the values of the temperature T, the biochemical oxygen demand BOD and the turbidity Hz are changed through an analysis module (33), the aeration digital twin model is used for simulation, the aeration result of the medical wastewater is judged,
and if the aeration result is better than the expected result, outputting an adjustment strategy for the medical wastewater in the aerobic tank.
6. A medical wastewater treatment system according to claim 5 and wherein:
acquiring the temperature T, the biochemical oxygen demand BOD and the turbidity Hz which do not exceed a threshold value as sub-factors;
acquiring a plurality of groups of data corresponding to the subfractions from the first medical wastewater data set along the time axis, and performing function fitting according to the variation trend of the subfractions along the time axis to acquire a fitting function;
and (3) checking the fitting function through K-S, determining the validity of the fitting function, and if so, acquiring the value of the next moment of the subfactor according to the fitting function to be used as the subfactor predicted value, and judging whether the subfactor predicted value exceeds a corresponding threshold.
7. A medical wastewater treatment system according to claim 1 and wherein:
the second detection unit (70) comprises a pH detection unit (71) and an oxygen content detection module (72);
the pH value in the medical wastewater is detected by the pH detection unit (71) to obtain pH value, and meanwhile, the oxygen content in the medical wastewater is detected by the oxygen content detection module (72) to form oxygen content O;
and acquiring and summarizing the oxygen content O and the pH value and establishing a second medical wastewater data set.
8. A medical wastewater treatment system according to claim 7 and wherein:
transmitting the second medical wastewater data set to an evaluation module (80), acquiring oxygen content O and pH value, performing dimensionless treatment, and acquiring a second medical wastewater evaluation value Pt after correlation;
the method for acquiring the second medical wastewater evaluation value Pt accords with the following formula:
wherein ,
，
and (2) and
，
the specific value of the weight is adjusted and set by a user, and C is a constant correction coefficient.
9. A medical wastewater treatment system according to claim 1 and wherein:
the second processing unit (90) comprises a pollution characteristic library (91), a processing scheme library (92) and an output module (93);
when the second medical wastewater evaluation value Pt is larger than a threshold value, the pollution characteristics of the medical wastewater in the aerobic tank are acquired by a pollution characteristic library (91) according to a plurality of detection modules, the pollution characteristics are sent to a treatment scheme library (92), and a treatment scheme corresponding to the pollution characteristics is searched in the treatment scheme library (92);
if the treatment scheme is retrieved, verifying the feasibility of the treatment scheme according to the aeration digital twin model, and if the treatment scheme is feasible, outputting the treatment scheme by an output module (93); after the treatment scheme is executed, medical wastewater in the aerobic tank is transferred to a sedimentation tank; if the corresponding processing scheme is not retrieved or is not feasible after verification of the processing scheme, an alarm module (100) alarms the outside.
10. A medical wastewater treatment method is characterized in that: comprising the steps of (a) a step of,
after medical wastewater is led into an aerobic tank and a preset time passes, detecting the medical wastewater in the aerobic tank by a sludge deposition detection unit, obtaining a sludge volume index, and comparing the sludge volume index with a corresponding threshold value to obtain a comparison result;
according to the comparison result, a first detection unit detects the medical wastewater state in the aerobic tank for the first time, and a first medical wastewater data set is established; the first medical wastewater data set is sent to a first processing unit, a first medical wastewater evaluation value Po is formed in a correlated mode, and the medical wastewater treatment state in the aerobic tank is evaluated;
when the treatment state does not reach the expectation, an aeration digital twin model is established, the treatment process of the medical wastewater is simulated, a corresponding adjustment strategy is output according to a simulation result, the adjustment strategy is sent to a control unit, a corresponding control strategy is formed, and the adjustment unit executes the adjustment strategy;
the method comprises the steps that after the medical wastewater is aerated by an aerobic tank for more than a preset time, a first medical wastewater evaluation value Po is obtained again, and when the first medical wastewater evaluation value Po still exceeds a corresponding threshold value, an early warning unit sends out early warning;
after the early warning is acquired, the second detection unit detects the medical wastewater state in the aerobic tank for the second time, a second medical wastewater data set is established, and the second medical wastewater data set is sent to the evaluation module to acquire a second medical wastewater evaluation value Pt;
judging whether the second medical wastewater evaluation value Pt exceeds a threshold value, comparing the second medical wastewater evaluation value Pt with a corresponding threshold value according to a judging result, judging whether the second medical wastewater evaluation value Pt exceeds the threshold value, detecting the medical wastewater in the aerobic tank by a second processing unit if the second medical wastewater evaluation value Pt still exceeds the threshold value, judging pollution characteristics in the current medical wastewater treatment process according to the acquired detection data, acquiring a corresponding pre-stored treatment scheme according to the pollution characteristics, and outputting the corresponding pre-stored treatment scheme.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310012539.8A CN116282497B (en) | 2023-01-05 | 2023-01-05 | Medical wastewater treatment system and treatment method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310012539.8A CN116282497B (en) | 2023-01-05 | 2023-01-05 | Medical wastewater treatment system and treatment method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116282497A true CN116282497A (en) | 2023-06-23 |
| CN116282497B CN116282497B (en) | 2023-09-15 |
Family
ID=86782388
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310012539.8A Active CN116282497B (en) | 2023-01-05 | 2023-01-05 | Medical wastewater treatment system and treatment method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116282497B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116881747A (en) * | 2023-09-06 | 2023-10-13 | 武汉华康世纪医疗股份有限公司 | Intelligent treatment method and system based on medical wastewater monitoring |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101182069A (en) * | 2007-11-13 | 2008-05-21 | 清华大学 | Oxidation ditch intelligent control system based on change of water entry |
| CN102491506A (en) * | 2011-12-02 | 2012-06-13 | 深圳达实智能股份有限公司 | Method and system for controlling aeration biofilter of sewage treatment plant |
| CN104077487A (en) * | 2014-07-04 | 2014-10-01 | 南京大学 | Method for simulating optimized water quality improvement scheme by virtue of water quality model |
| CN107289439A (en) * | 2017-07-18 | 2017-10-24 | 中北大学 | The steam generator system of cloud computing intelligent control of sewage disposal time |
| CN108536106A (en) * | 2018-04-25 | 2018-09-14 | 重庆工商大学 | A kind of aerating system dissolved oxygen based on Kalman filtering-extreme learning machine regulates and controls method online |
| US20200024168A1 (en) * | 2018-07-18 | 2020-01-23 | Beijing University Of Technology | Intelligent identification method of sludge bulking based on type-2 fuzzy neural network |
| CN115124155A (en) * | 2021-03-26 | 2022-09-30 | 南京水联天下海水淡化技术研究院有限公司 | Water purification unit with membrane filter core monitoring function |
| CN115558682A (en) * | 2022-09-27 | 2023-01-03 | 湖南大学 | Method for biosynthesizing polyhydroxyalkanoate by utilizing excess sludge |
-
2023
- 2023-01-05 CN CN202310012539.8A patent/CN116282497B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101182069A (en) * | 2007-11-13 | 2008-05-21 | 清华大学 | Oxidation ditch intelligent control system based on change of water entry |
| CN102491506A (en) * | 2011-12-02 | 2012-06-13 | 深圳达实智能股份有限公司 | Method and system for controlling aeration biofilter of sewage treatment plant |
| CN104077487A (en) * | 2014-07-04 | 2014-10-01 | 南京大学 | Method for simulating optimized water quality improvement scheme by virtue of water quality model |
| CN107289439A (en) * | 2017-07-18 | 2017-10-24 | 中北大学 | The steam generator system of cloud computing intelligent control of sewage disposal time |
| CN108536106A (en) * | 2018-04-25 | 2018-09-14 | 重庆工商大学 | A kind of aerating system dissolved oxygen based on Kalman filtering-extreme learning machine regulates and controls method online |
| US20200024168A1 (en) * | 2018-07-18 | 2020-01-23 | Beijing University Of Technology | Intelligent identification method of sludge bulking based on type-2 fuzzy neural network |
| CN115124155A (en) * | 2021-03-26 | 2022-09-30 | 南京水联天下海水淡化技术研究院有限公司 | Water purification unit with membrane filter core monitoring function |
| CN115558682A (en) * | 2022-09-27 | 2023-01-03 | 湖南大学 | Method for biosynthesizing polyhydroxyalkanoate by utilizing excess sludge |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116881747A (en) * | 2023-09-06 | 2023-10-13 | 武汉华康世纪医疗股份有限公司 | Intelligent treatment method and system based on medical wastewater monitoring |
| CN116881747B (en) * | 2023-09-06 | 2023-11-24 | 武汉华康世纪医疗股份有限公司 | Intelligent treatment method and system based on medical wastewater monitoring |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116282497B (en) | 2023-09-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP2920064B1 (en) | A method and system for monitoring quality of ballast water of a vessel | |
| CN116282497B (en) | Medical wastewater treatment system and treatment method | |
| CN110186505B (en) | Method for predicting standard reaching condition of rural domestic sewage treatment facility effluent based on support vector machine | |
| Spinelli et al. | Critical analyses of nitrous oxide emissions in a full scale activated sludge system treating low carbon-to-nitrogen ratio wastewater | |
| Das et al. | Evaluation of drinking quality of groundwater through multivariate techniques in urban area | |
| US11365140B2 (en) | Decision support system and method for water treatment | |
| JPH08512134A (en) | Measurement of chemical and physical parameters and characterization process of aqueous suspensions for characterization | |
| Vines et al. | Evaluation of the biodegradability of fluorescent dissolved organic matter via biological filtration | |
| US20220316994A1 (en) | A method for predicting operation effectiveness of decentralized sewage treatment facility by using support vector machine | |
| US11370679B2 (en) | Method for predicting discharge level of effluent from decentralized sewage treatment facilities | |
| CN115792165B (en) | Intelligent environmental water quality monitoring method and system | |
| CN113240006A (en) | Method and device for monitoring wastewater discharge, electronic equipment and storage medium | |
| US20190194034A1 (en) | Methods and System for Evaluating and Maintaining Disinfectant Levels in a Potable Water Supply | |
| Yan et al. | Water quality evaluation based on entropy coefficient and blind number theory measure model | |
| Fall et al. | Stepwise calibration of the activated sludge model No. 1 at a partially denitrifying large wastewater treatment plant | |
| CN112573641B (en) | Sewage treatment capacity determining method and device | |
| CN111275330B (en) | Filter element effect detection method and device, computer equipment and storage medium | |
| CN113382966B (en) | Method for removing blue algae and/or blue algae metabolite in aqueous solution | |
| CN115471115B (en) | Electronic river length control system for unified combined treatment of global water body | |
| Alsulaili et al. | Seasonal variation pattern of physicochemical and microbial parameters in a wastewater treatment plant | |
| Mamat et al. | Physical and soft sensor technologies for wastewater quality management | |
| CN115340173B (en) | Operation index calculation method and device, and drainage treatment method and device | |
| Jurga et al. | A concept development of an early warning system for toxic sewage detection | |
| CN114716010B (en) | Performance evaluation method and system for wastewater treatment biological membrane | |
| Szeląg et al. | Effect of physicochemical wastewater parameters and abiotic factor on activated sludge sedimentation capacity |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |