CN117113719A - Sewage treatment simulation modeling system construction method - Google Patents
Sewage treatment simulation modeling system construction method Download PDFInfo
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- CN117113719A CN117113719A CN202311199335.6A CN202311199335A CN117113719A CN 117113719 A CN117113719 A CN 117113719A CN 202311199335 A CN202311199335 A CN 202311199335A CN 117113719 A CN117113719 A CN 117113719A
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- 239000010865 sewage Substances 0.000 title claims abstract description 80
- 238000005094 computer simulation Methods 0.000 title claims abstract description 23
- 238000010276 construction Methods 0.000 title claims abstract description 6
- 238000000034 method Methods 0.000 claims abstract description 77
- 230000008569 process Effects 0.000 claims abstract description 37
- 238000004088 simulation Methods 0.000 claims abstract description 36
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 31
- 238000012360 testing method Methods 0.000 claims abstract description 7
- 238000007726 management method Methods 0.000 claims description 36
- 238000005457 optimization Methods 0.000 claims description 35
- 238000011217 control strategy Methods 0.000 claims description 23
- 238000004364 calculation method Methods 0.000 claims description 16
- 238000013461 design Methods 0.000 claims description 12
- 238000012937 correction Methods 0.000 claims description 11
- 238000011112 process operation Methods 0.000 claims description 8
- 238000012795 verification Methods 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 6
- 230000000694 effects Effects 0.000 claims description 6
- 238000007781 pre-processing Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 4
- 238000012821 model calculation Methods 0.000 claims description 4
- 238000004140 cleaning Methods 0.000 claims description 3
- 238000011835 investigation Methods 0.000 claims description 3
- 230000008859 change Effects 0.000 description 7
- 230000035945 sensitivity Effects 0.000 description 7
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- 238000010992 reflux Methods 0.000 description 5
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 description 4
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- 241000894006 Bacteria Species 0.000 description 3
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- 238000010586 diagram Methods 0.000 description 2
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- 239000003344 environmental pollutant Substances 0.000 description 2
- 231100000719 pollutant Toxicity 0.000 description 2
- 238000010206 sensitivity analysis Methods 0.000 description 2
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- 239000004912 1,5-cyclooctadiene Substances 0.000 description 1
- 101100436077 Caenorhabditis elegans asm-1 gene Proteins 0.000 description 1
- 101100204282 Neurospora crassa (strain ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987) Asm-1 gene Proteins 0.000 description 1
- 229910019142 PO4 Inorganic materials 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
- 238000010521 absorption reaction Methods 0.000 description 1
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- 230000001651 autotrophic effect Effects 0.000 description 1
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Activated Sludge Processes (AREA)
Abstract
The invention relates to a sewage treatment simulation modeling system construction method, which comprises the steps of constructing a simulation model control system, an SCADA system and a DIMS document management system through a modeling engineer, automatically acquiring water quality data through on-line instruments and meters, simultaneously inputting water quality test data, transmitting the data into the DIMS document management system through the SCADA system, editing the data through the DIMS document management system, automatically importing the data into a simulation model, outputting proper control parameters after model operation, and automatically controlling process equipment operation.
Description
Technical Field
The invention relates to the field of sewage simulation, in particular to a method for constructing a sewage treatment simulation modeling system.
Background
The sewage treatment system is a typical nonlinear, multivariable and unstable time-varying system, and comprises a plurality of process units, wherein the reaction mechanism is complex, and a plurality of interference factors and uncertainty factors exist; in addition, the operation of sewage treatment plants involves a large number of instrumentation, equipment and monitoring systems. The sewage treatment plant is a huge and complex system, so the sewage treatment plant often faces the problems of low operation efficiency, high operation cost, difficult achievement of effluent quality and the like.
The model is a mathematical description of biological, chemical, physical, etc. processes of a system or process, and is a simplified and approximate approximation of a real system. Aiming at the current situation of sewage treatment, the international water assistant organization scientific research team develops a series of activated sludge models, such as ASM1, ASM2D and the like, based on mathematical models and combined with sewage treatment process principles, and the models can well simulate the denitrification and dephosphorization processes of sewage treatment, such as anaerobic hydrolysis, glycolysis, nitrification, denitrification, anaerobic phosphorus release, aerobic phosphorus absorption and other microorganism growth dynamics processes.
But lacks design optimization, process optimization, control strategy optimization, process optimization, management optimization, and emergency planning for the sewage plant.
Disclosure of Invention
The invention aims to solve the technical problem of providing a sewage treatment simulation modeling system building method.
In order to solve the technical problems, the sewage treatment simulation modeling system construction method provided by the invention comprises the steps of constructing a simulation model control system, an SCADA system and a DIMS document management system by a modeling engineer, automatically acquiring water quality data by on-line instruments and meter equipment, simultaneously inputting water quality test data, transmitting the data into the DIMS document management system by the SCADA system, editing the data by the DIMS document management system, automatically importing the data into the simulation model, outputting proper control parameters after model operation, and automatically controlling process equipment to operate.
Further, the simulation model control system comprises sewage plant modeling, a simulation model control system component, a simulation modeling base component interface and simulation modeling software.
Further, the sewage plant modeling comprises the following steps:
s1, collecting basic data of a sewage plant: the method is used for evaluating the running condition of the sewage plant and simulating modeling;
s2, preprocessing the acquired data, wherein the preprocessing comprises the operations of data cleaning, denoising, correction, data alignment and the like: to ensure accuracy and consistency of data;
s3, investigation of the current situation of the sewage plant: the method is used for sewage plant management optimization, control strategy optimization and scheme design;
s4, constructing a sewage plant process model: the method is used for constructing a sewage treatment process model;
s5, model correction and verification: the simulation model optimization and control effect verification method is used for simulation model optimization and control effect verification;
s6, analyzing a plan: the emergency plan design is used for carrying out emergency plan design on possible emergencies;
s7, simulating and analyzing a control strategy: the method is used for optimizing the process parameters and the process parameters of the sewage plant.
Further, the simulation model control system component includes: the system comprises a model scheme management interface, an online data engine, a model dynamic inflow water quality and quantity introduction interface, a model initial value and process operation parameter setting interface, a model control strategy setting interface, a model simulation calculation interface and a model result export database and report interface.
Further, the simulation modeling base component interface includes: OPC data communication interface, model schema management, model calculation, optimization scheme analysis, system configuration management, online data engine, optimization scheme setting, model editing and control strategy suggestion.
Further, the simulation modeling software comprises 'KeepWell' process optimization software and 'KeepWell' self-control communication software.
The sewage treatment simulation modeling system can be applied to sewage plant design optimization, process optimization, control strategy optimization, process optimization, management optimization and emergency plan programming, and can automatically collect water quality operation data, perform simulation modeling operation on online water quality data, generate control parameters and automatically optimally control field equipment, so that energy saving and consumption reduction operation of a process can be realized under the condition that the effluent quality reaches the standard.
The sewage treatment simulation modeling system and the SCADA system form a powerful sewage treatment plant operation control system, detailed technical, economic and management reports of the sewage treatment plant can be generated, and operation management data capable of quickly tracking one or even a plurality of sewage treatment process flows in real time is provided for the highest management layer.
Drawings
FIG. 1 is a control flow diagram of a method for constructing a sewage treatment simulation modeling system of the present invention.
Description of the embodiments
Specific embodiments of the present invention will be further described below with reference to the accompanying drawings. Wherein like parts are designated by like reference numerals.
It should be noted that the words "front", "rear", "left", "right", "upper" and "lower" used in the following description refer to directions in the drawings, and the words "inner" and "outer" refer to directions toward or away from, respectively, the geometric center of a particular component.
In order to make the contents of the present invention more clearly understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
In combination with the drawing 1, a sewage treatment simulation modeling system building method is characterized in that a modeling engineer builds a simulation model control system, an SCADA system and a DIMS document management system, water quality data can be automatically acquired through on-line instruments and meters, meanwhile, water quality test data can be input, the data is transmitted into the DIMS document management system through the SCADA system, data editing is carried out through the DIMS document management system, the data is automatically imported into the simulation model, appropriate control parameters are output after model operation, and process equipment operation is automatically controlled.
The simulation model control system comprises sewage plant modeling, a simulation model control system component, a simulation modeling base component interface and simulation modeling software.
The sewage plant modeling comprises the following steps:
s1, collecting basic data of a sewage plant: the method is used for evaluating the running condition of the sewage plant and simulating modeling.
Wherein the data collection comprises:
design data: such as process flow diagrams, structure size, equipment model, quantity, and mode of operation.
Operation data: various process operation parameters such as internal reflux ratio, sludge discharge amount and dosage.
Test data: on-line and off-line test data such as water quality, water quantity, water temperature.
Recording (calculating) data: sludge load, removal rate, treatment cost (electricity consumption, medicine consumption, material consumption).
S2, preprocessing the acquired data, wherein the preprocessing comprises the operations of data cleaning, denoising, correction, data alignment and the like: to ensure accuracy and consistency of the data.
S3, investigation of the current situation of the sewage plant: the method is used for sewage plant management optimization, control strategy optimization and scheme design.
The operation conditions of equipment and facilities of the sewage plant, the operation conditions of a control system and an SCADA system, a monitoring and management system and the like are researched, and the method mainly comprises the following steps:
offline and online data: and (5) evaluating the laboratory analysis and test level of the sewage plant, and collecting data such as online water quantity, water quality and the like.
And (3) a control system: the operation conditions of a sewage plant control system, such as control strategies of aeration, dosing, internal reflux and other processes, are inspected; and (5) examining the software and hardware environment of a PLC/SCADA system of the sewage plant.
The equipment system: and evaluating the performance and the operation condition of key equipment of the sewage plant and the relation between the performance and the operation condition of key equipment of the sewage plant and the operation stability and the energy consumption of the sewage plant.
Management information system: and (5) examining a sewage plant technology, economy and management report system and an office automation system.
S4, constructing a sewage plant process model: is used for constructing a sewage treatment process model.
S5, model correction and verification: the method is used for optimizing the simulation model and verifying the control effect.
After the model is constructed and defined, the operation model of the sewage treatment process needs to be corrected and verified. Model correction means that model parameter values are checked through a certain method, so that model calculated values are consistent with practical measured values when the concentrations of microorganisms, COD, nitrogen, phosphorus and other components at different positions are calculated under different conditions and at different times. Model verification, as the name implies, is the process of verifying the corrected model.
The correction of the sewage treatment process model can adopt two methods, namely a trial difference correction method based on sensitivity analysis, namely, the correction is carried out by selecting parameters with larger influence on model results through the sensitivity calculation of model parameters; another method is a least square parameter estimation method, i.e. a method with minimal error between the model calculation value and the measured value, to automatically obtain an optimized parameter value.
Sensitivity indicates the effect of a change in a parameter on a system state variable. When the parameter with high sensitivity is changed, the influence on the state variable of the system is large, and otherwise, the influence is small. Parameters with high sensitivity need to be checked during simulation; parameters with small sensitivity can be directly adopted as default values in simulation without checking; parameters in sensitivity bias may be optionally checked during simulation. For parameters with large sensitivity, the parameters can be adjusted by a trial and error method during checking, and can also be determined by parameter optimization estimation.
The simulation project will utilize the existing tool in Keepwell-sensitivity analysis function and parameter estimation function, and combine the two correction modes to automatically correct the model.
S6, analyzing a plan: the emergency plan design method is used for carrying out emergency plan design on the possible emergency.
Analysis of dynamic changes in the concentration of the Components
The dynamic change condition of the component concentration of various microorganisms (heterotrophic bacteria, autotrophic bacteria and phosphorus accumulating bacteria) in the activated sludge system is analyzed, the change trend of the component concentration of dissolved oxygen, ammonia nitrogen, nitrate nitrogen, phosphate and the like in the reaction tank is known, and the method has important significance for various operation parameter adjustment, process control and process optimization of the sewage treatment process flow.
2. Simulation of operating modes and operating parameters
And carrying out multi-scheme simulation on various operation parameters and operation modes of the sewage treatment process flow, selecting the optimal process operation mode and operation parameters suitable for the current water inlet condition, and achieving the aims of saving energy and reducing consumption on the premise of ensuring that the water outlet reaches the standard.
S7, simulating and analyzing a control strategy: the method is used for optimizing the process parameters and the process parameters of the sewage plant.
3. Simulation and analysis of control strategies
Various problems exist in the actual operation of the sewage treatment plant, and the quality of the control process and the control strategy not only influence the stability of the sewage treatment water quality, but also have great influence on energy consumption. The control strategy is generally difficult to obtain the result through experiments, so that the simulation method can avoid unnecessary risks on one hand and can obtain more comparison results on the other hand. For example, the control strategies of the internal reflux and sludge reflux, the sludge discharge amount and the sludge discharge time, chemical dosing and other processes can be simulated and analyzed.
4. Model-based predictive modeling
Few or almost no sewage treatment plants are fed with constant composition, constant flow. The basic characteristics, flow, pollutant load and even water temperature of the inlet water are all interfered by at least 2-10 factors. Besides daily changes, the inflow water of sewage plants also has monthly changes and annual changes.
In general, internal interference is controllable and can be eliminated or reduced by effective measures; the external interference has uncontrollable and unpredictable performance, and usually needs to be predicted and simulated by means of a model, and then a proper process operation mode is adopted or process operation parameters are timely adjusted, so that the stability of system operation is ensured. The predictive modeling may include the following:
is simulated by temperature change: simulating the influence of the annual temperature change (about 10-40 ℃ C.) of the sewage on the running condition of the process;
water quantity change simulation: simulating the process operation conditions when the water inflow is suddenly changed (during heavy rain or impacted by industrial sewage) and the water amount is increased in a planning period;
is simulated by pollutant load: and simulating the influence of sewage COD load change (during storm or impact of industrial sewage) on the operation condition of the process.
The simulation model control system component comprises:
model schema management interface: as the basis of the data exchange of the whole development assembly, the interface carries out scheme system management on the scattered model files, and manages different types of models under different conditions through the concepts of templates and schemes.
On-line data engine: and the system is connected with the online monitoring database, provides a special user interface and a special path for inputting the online data into the model, converts the online data into a corresponding format and stores the corresponding format into a system working library.
Model dynamic inflow water quality and quantity introducing interface: and acquiring water quality flow data required by the model according to the online data or the historical data, and processing the water quality flow data into a format required by the model.
Model initial value and process operation parameter setting interface: providing an interface to acquire initial values and technological parameters of the model, and writing the initial values and the technological parameters into the model according to external data.
Model control strategy setting interface and model simulation calculating interface: providing a model setting interface according to model control strategies such as aeration control, reflux control, dosing and the like, setting the control strategy, driving a model to calculate, checking the rationality of a model file before calculation, returning to whether the model starts successful calculation, and displaying the calculation progress if the model starts successful calculation; an error indication is not successfully displayed.
The model results are exported to a database and reporting interface: and exporting the model simulation result to a database according to a certain table structure, facilitating the user to make other applications, and generating a model report according to the internal related settings of the model.
The simulation modeling base component interface comprises:
OPC data communication interface: connecting hardware equipment by using an OPC protocol, and writing data required by the grabbing model into an online detection database; and sending an optimization control instruction to the hardware equipment through an OPC protocol to complete intelligent control.
Model scheme management: the model scheme management component carries out classification systematic management on the models, each model is called a scheme or a plan, the model which is calibrated by a model engineer is used as a model template, and the model plan is generated according to the selected template in a mode of scheme addition and scheme derivation. The scheme management is completed through the whole flow of scheme addition, scheme editing, scheme checking, scheme calculation and scheme information pushing, and the whole life cycle of the scheme is completed.
Model calculation: the driving model performs calculation, checking the rationality of the model file before calculation, returning to whether the model starts successful calculation, and displaying the calculation progress if the model starts successful calculation; an error indication is not successfully displayed.
Optimization scheme analysis: based on the historical operation plans built by accumulation of users, the system performs scheme comparison and optimization calculation according to different index settings (technical and economic indexes), obtains the optimal operation parameters under the current condition, and provides decision support suggestions for the optimal operation of the sewage plant.
System configuration management: including log management, user management, system configuration, etc.
On-line data engine: the system is connected to an on-line monitoring database, provides a special interface and a special path for inputting on-line data to the model, and can be converted into a corresponding format and stored in a system working library.
Setting an optimization scheme: before optimization calculation, constraint conditions, optimization method parameters, decision variables and the like of the model are adjusted to meet various conditions for optimization.
Model editing: the model dynamic inflow water quality and quantity, initial value, technological parameters and the like are set. Process treatment module for constructing sewage plant
The control strategy suggests: providing a control strategy suggestion, namely transmitting an optimization result after optimization calculation to an industrial control system platform, and determining whether to implement the set of control after evaluation by related professional consultation.
The simulation modeling software includes:
"KeepWell" process optimization software: and a computing core for optimizing the process and control strategy of the sewage plant.
"KeepWell" self-control communication software: and a communication management core for automatically controlling the sewage plant.
Standard parts used in the invention can be purchased from the market, special-shaped parts can be customized according to the description of the specification and the drawings, the specific connection modes of all parts adopt conventional means such as mature bolts, rivets and welding in the prior art, the machinery, the parts and the equipment adopt conventional modes in the prior art, and the circuit connection adopts conventional connection modes in the prior art, so that details are not described in detail in the specification, and the invention belongs to the prior art known to the person skilled in the art.
The invention and its embodiments have been described above with no limitation, and the actual construction is not limited to the embodiments of the invention as shown in the drawings. In summary, if one of ordinary skill in the art is informed by this disclosure, a structural manner and an embodiment similar to the technical solution should not be creatively devised without departing from the gist of the present invention.
Claims (6)
1. A sewage treatment simulation modeling system construction method is characterized in that: a simulation model control system, an SCADA system and a DIMS document management system are built through a modeling engineer, water quality data can be automatically acquired through on-line instruments and meter equipment, meanwhile, water quality test data can be input, the data is transmitted into the DIMS document management system through the SCADA system, data editing is carried out through the DIMS document management system, the data is automatically imported into a simulation model, appropriate control parameters are output after model operation, and process equipment operation is automatically controlled.
2. The method for constructing the sewage treatment simulation modeling system according to claim 1, wherein the method comprises the following steps: the simulation model control system comprises sewage plant modeling, a simulation model control system component, a simulation modeling base component interface and simulation modeling software.
3. The method for constructing the sewage treatment simulation modeling system according to claim 2, wherein the method comprises the following steps: the sewage plant modeling comprises the following steps:
s1, collecting basic data of a sewage plant: the method is used for evaluating the running condition of the sewage plant and simulating modeling;
s2, preprocessing the acquired data, wherein the preprocessing comprises the operations of data cleaning, denoising, correction, data alignment and the like: to ensure accuracy and consistency of data;
s3, investigation of the current situation of the sewage plant: the method is used for sewage plant management optimization, control strategy optimization and scheme design;
s4, constructing a sewage plant process model: the method is used for constructing a sewage treatment process model;
s5, model correction and verification: the simulation model optimization and control effect verification method is used for simulation model optimization and control effect verification;
s6, analyzing a plan: the emergency plan design is used for carrying out emergency plan design on possible emergencies;
s7, simulating and analyzing a control strategy: the method is used for optimizing the process parameters and the process parameters of the sewage plant.
4. The method for constructing the sewage treatment simulation modeling system according to claim 2, wherein the method comprises the following steps: the simulation model control system component comprises: the system comprises a model scheme management interface, an online data engine, a model dynamic inflow water quality and quantity introduction interface, a model initial value and process operation parameter setting interface, a model control strategy setting interface, a model simulation calculation interface and a model result export database and report interface.
5. The method for constructing the sewage treatment simulation modeling system according to claim 2, wherein the method comprises the following steps: the simulation modeling base component interface comprises: OPC data communication interface, model schema management, model calculation, optimization scheme analysis, system configuration management, online data engine, optimization scheme setting, model editing and control strategy suggestion.
6. The method for constructing the sewage treatment simulation modeling system according to claim 2, wherein the method comprises the following steps: the simulation modeling software comprises 'KeepWell' process optimization software and 'KeepWell' self-control communication software.
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| CN117950382A (en) * | 2024-03-27 | 2024-04-30 | 中国电子工程设计院股份有限公司 | Method and device for constructing simulation model of pure water preparation system of semiconductor factory |
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| CN117950382A (en) * | 2024-03-27 | 2024-04-30 | 中国电子工程设计院股份有限公司 | Method and device for constructing simulation model of pure water preparation system of semiconductor factory |
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