CN113486606B - Water treatment system model training method, operation method, system, equipment and medium - Google Patents
Water treatment system model training method, operation method, system, equipment and medium Download PDFInfo
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Abstract
The invention discloses a water treatment system model training method, an operation method, a system, equipment and a medium. The water treatment system model training method comprises the following steps: acquiring historical operating data of the water treatment system; inputting first historical operation data and a preset period of the water treatment system at a first preset time into a water treatment system model for simulation to obtain predicted operation data corresponding to a second preset time; the second preset time is determined according to the first preset time and the preset period; determining an error value of the water treatment system model according to the predicted operation data and second historical operation data of the second preset time; and adjusting parameters of the water treatment system model until the error value is within a preset precision range to obtain the optimized water treatment system model. The method improves the simulation precision of the water treatment system model, reduces the risk caused by human errors, and improves the operation efficiency of the water treatment system.
Description
Technical Field
The invention relates to the technical field of system simulation, in particular to a water treatment system model training method, an operation method, a system, equipment and a medium.
Background
Water purification plants are an important segment of municipal water supply systems. The complete water purification process of the water purification plant starts from taking water from natural water, and finally supplying the water to users through urban pipe networks after water purification processes such as coagulation, precipitation, filtration and the like. Water treatment plants usually comprise treatment units with different functions and pipelines, water pumps and valves between the units, and the instantaneous water inflow and instantaneous water outflow of each treatment unit can be regulated by the upstream water pumps and valves. In order to ensure the water quality purification effect, the treatment capacity of the treatment unit needs to be kept basically stable, but the actual water consumption of a user is continuously changed, so that the operation of the treatment unit at a high water level is ensured as much as possible. Because different treatment units exist in a water purification plant, the treatment units have different regulation and storage capacities, special requirements such as sludge discharge and backwashing exist, and complex conditions such as working condition change of a water supply pump exist, the water purification plant can operate efficiently and in an energy-saving manner, and field management personnel are often required to coordinate and control the operation of each treatment unit and the water pump according to experience.
Disclosure of Invention
The invention provides a water treatment system model training method, an operation method, a system, equipment and a medium, aiming at overcoming the defect that the normal operation of a water treatment system can be ensured only by coordinating and controlling the operation of the water treatment system by field management personnel according to experience in the prior art.
The invention solves the technical problems through the following technical scheme:
the invention provides a water treatment system model training method, which comprises the following steps:
obtaining historical operating data of the water treatment system,
inputting first historical operation data and a preset period of the water treatment system at a first preset time into a water treatment system model for simulation to obtain predicted operation data corresponding to a second preset time;
the second preset time is determined according to the first preset time and the preset period;
determining an error value of the water treatment system model according to the predicted operation data and second historical operation data of the second preset time;
and adjusting parameters of the water treatment system model until the error value is within a preset precision range to obtain the optimized water treatment system model.
Preferably, the water treatment system comprises a treatment structure, a pipeline, a valve and a water pump;
before the step of inputting the first historical operation data and the preset period of the water treatment system at the first preset time into the water treatment system model for simulation, the water treatment system model training method further comprises the following steps:
establishing a processing construction model and a pipeline model by using a hydraulics calculation formula according to the parameters of the processing construction and the pipeline;
establishing a water pump model according to a flow-lift curve of the water pump;
establishing a valve model according to a relationship curve of the head loss coefficient and the opening degree of the valve;
and combining the treatment building model, the pipeline model, the valve model and the water pump model to obtain the water treatment system model.
Preferably, the operational data includes a water inflow of the treatment structure, a water level of the treatment structure, a water outflow of the treatment structure, an opening degree of the valve, and a power of the water pump.
The invention also provides a water treatment system operation method, which comprises the following steps:
acquiring operation data of the water treatment system at a third preset time;
inputting the running data of the third preset time and the preset time period into the optimized water treatment system model obtained by the water treatment system model training method to obtain running data of a fourth preset time;
the fourth preset time is determined according to the third preset time and the preset time period;
and if the running data of the fourth preset time exceeds a preset running range, adjusting the running data of the third preset time, and inputting the adjusted running data of the third preset time and a preset time period into the optimized water treatment system model until the running data of the fourth preset time is in the running range.
The invention also provides a water treatment system model training system, which comprises:
a data acquisition module for acquiring historical operating data of the water treatment system,
the simulation prediction module is used for inputting first historical operation data and a preset period of the water treatment system at first preset time into a water treatment system model for simulation to obtain predicted operation data corresponding to second preset time;
the second preset time is determined according to the first preset time and the preset period;
an error determination module for determining an error value of the water treatment system model based on the predicted operational data and second historical operational data for the second preset time;
and the parameter adjusting module is used for adjusting the parameters of the water treatment system model until the error value is within a preset precision range so as to obtain the optimized water treatment system model.
Preferably, the water treatment system comprises a treatment structure, a pipeline, a valve and a water pump;
the water treatment system model training system further comprises:
the model building module is used for building a processing building model and a pipeline model by using a hydraulics calculation formula according to the processing building and the parameters of the pipeline;
the model building module is also used for building a water pump model according to the flow-lift curve of the water pump;
the model establishing module is also used for establishing a valve model according to a relationship curve of the head loss coefficient and the opening degree of the valve;
the model building module is also used for combining the treatment building model, the pipeline model, the valve model and the water pump model to obtain the water treatment system model.
Preferably, the operation data includes a water inlet quantity constructed by the treatment, a water level constructed by the treatment, a water outlet quantity constructed by the treatment, an opening degree of the valve and power of the water pump.
The present invention also provides a water treatment system operating system, comprising:
the operation data acquisition module is used for acquiring operation data of the water treatment system at a third preset time;
the operation data prediction module is used for inputting the operation data of the third preset time and a preset time period into the optimized water treatment system model obtained by the water treatment system model training system to obtain operation data of a fourth preset time;
the fourth preset time is determined according to the third preset time and the preset time period;
and the operation data adjusting module is used for adjusting the operation data of the third preset time and calling the operation data predicting module to input the adjusted operation data of the third preset time and a preset time period into the optimized water treatment system model if the operation data of the fourth preset time exceeds a preset operation range until the operation data of the fourth preset time is in the operation range.
The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the water treatment system model training method and/or the water treatment system operation method when executing the computer program.
The present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a water treatment system model training method as described above and/or a water treatment system operating method as described above.
The positive progress effects of the invention are as follows:
the invention realizes the modeling of the water treatment system by inputting the historical operating data of the water treatment system into the water treatment system model for simulation and comparing the obtained predicted operating data with the corresponding historical operating data to adjust the model parameters, thereby improving the simulation precision of the water treatment system model, reducing the risk brought by human errors and improving the operating efficiency of the water treatment system by applying the water treatment system model to the operation and control of the water treatment system.
Drawings
Fig. 1 is a flowchart of a water treatment system model training method according to embodiment 1 of the present invention.
Fig. 2 is a flowchart of a water treatment system model training method according to embodiment 2 of the present invention.
Fig. 3 is a flowchart of a method of operating a water treatment system according to embodiment 3 of the present invention.
Fig. 4 is a block diagram of a water treatment system model training system according to embodiment 4 of the present invention.
Fig. 5 is a block diagram showing a water treatment system model training system according to embodiment 5 of the present invention.
Fig. 6 is a block diagram showing the configuration of a water treatment system operation system according to embodiment 6 of the present invention.
Fig. 7 is a schematic diagram of a hardware structure of an electronic device according to embodiment 7 of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.
Example 1
As shown in fig. 1, the present embodiment provides a water treatment system model training method, which includes:
s101, acquiring historical operating data of a water treatment system;
s102, inputting first historical operation data and a preset period of the water treatment system at first preset time into a water treatment system model for simulation to obtain predicted operation data corresponding to second preset time;
the second preset time is determined according to the first preset time and the preset period.
Specifically, the historical operation data of the water treatment system comprises first operation data of the water treatment system at a first preset time and second operation data of the water treatment system at a second preset time after at least one time period; in order to improve the training effect of the water treatment system model, the operation data after a plurality of time periods can be obtained and compared with the corresponding prediction data of the water treatment system model.
S103, determining an error value of the water treatment system model according to the predicted operation data and second historical operation data of second preset time;
s104, judging whether the error value is within a preset precision range, and if not, continuing to step S1041; if yes, go to step S1042;
s1041, adjusting parameters of the water treatment system model, and then returning to the step S102 to simulate the water treatment system model based on the adjusted parameters.
And S10402, obtaining the optimized water treatment system model.
If the error value of the water treatment system model is within the preset allowed precision range, the precision of the water treatment system model is higher, and the water treatment system model can be used for predicting the operation of the water treatment system. Otherwise, adjusting the parameters of the water treatment system model by combining a manual searching mode and an optimization algorithm searching mode until the water treatment system model meets the precision requirement.
According to the water treatment system model training method, historical operation data of the water treatment system are input into the water treatment system model for simulation, and the obtained predicted operation data are compared with the corresponding historical operation data to adjust model parameters, so that modeling of the water treatment system is achieved, simulation precision of the water treatment system model is improved, risks caused by human errors are reduced by applying the water treatment system model to operation and control of the water treatment system, and operation efficiency of the water treatment system is improved.
Example 2
As shown in fig. 2, the water treatment system model training method of the present embodiment is a further improvement of embodiment 1, specifically:
the water treatment system comprises a treatment structure, a pipeline, a valve and a water pump; a typical water treatment system in a water treatment plant includes treatment structures, typically including flocculation and sedimentation units, filtration treatment units, clean water tanks, and water pumping houses, and piping and valves communicating between the treatment structures; the instantaneous water inflow and the instantaneous water outflow of each treatment unit can be adjusted by adjusting the upstream raw water pump and the valve. The treatment structure has the regulation and storage capacity, the flocculation precipitation unit has the special requirement of sludge discharge, and the filtration treatment unit has the special requirement of back flush wastewater.
Before step S102, the water treatment system model training method further includes:
s201, establishing a processing construction model and a pipeline model by using a hydraulics calculation formula according to parameters of the processing construction and the pipeline;
the calculation formula of the pipeline according to the hydraulics theory is as follows:
Q I +Q O ＝0
H I ＝H O -h f
the meaning of each parameter is as follows:
the processing and construction take a clean water tank as an example, and the hydraulic model formula of the clean water tank is as follows:
H I ＝H O ＝H t
s.t.H t ≥H L
H t ≥H y :
the meaning of each parameter is as follows:
s202, establishing a water pump model according to a flow-lift curve of the water pump;
in actual operation, a water pump of the water pump room works on a working condition point of a curve, and the actual working lift is determined by the water level of the clean water tank, the pressure of a pump opening and the head loss; if the water pump adopts a variable frequency speed regulating device, a device supplier provides flow-lift curves under different frequencies.
S203, establishing a valve model according to a relationship curve of the head loss coefficient and the opening degree of the valve;
and S204, combining the treatment building model, the pipeline model, the valve model and the water pump model to obtain a water treatment system model.
The operation data comprises the water inflow constructed by treatment, the water level constructed by treatment, the water outlet constructed by treatment, the opening degree of a valve and the power of a water pump.
The water treatment system model of the present embodiment is a simulation system based on the modeica modeling language, but the establishment of the water treatment system model is not limited to the use of the modeica modeling language.
The water treatment system model training method of the embodiment realizes modeling of the water treatment system by utilizing parameters and physical formulas of treatment structures, pipelines, valves and water pumps, improves simulation precision of the water treatment system model, reduces risks caused by human errors by applying the water treatment system model to operation and control of the water treatment system, and improves operation efficiency of the water treatment system.
Example 3
As shown in fig. 3, the present embodiment provides a method for operating a water treatment system, including:
s301, acquiring operation data of the water treatment system at a third preset time;
specifically, at present, a water demand prediction technology based on data analysis in a short time is mature, and the change of the water inflow or the water outflow of the water treatment system in a short time in the future can be obtained by using the water demand prediction technology. For example, in actual production, when the upstream inflow or outflow of the water treatment system is predicted to change, the operating water level and the inflow or outflow of the clean water tank after a certain period of time can be estimated.
S302, inputting the running data of the third preset time and the preset time period into the optimized water treatment system model obtained by the water treatment system model training method of the embodiment 1 or the embodiment 2 to obtain the running data of the fourth preset time;
the fourth preset time is determined according to the third preset time and the preset time period;
s303, judging whether the operation data of the fourth preset time exceeds a preset operation range, if not, executing a step S304, and if so, executing a step S305;
s304, adjusting the running data of the third preset time, then returning to the step S302, and inputting the adjusted running data of the third preset time into the water treatment system model;
and S305, adjusting the operation mode of the water treatment system according to the adjusted operation data of the third preset time.
Specifically, the water treatment system should be ensured to be operated at a high water level as much as possible, the occurrence of overflow working conditions is avoided as much as possible, and the water level constructed by the water treatment system should be kept within a preset operation range. And adjusting the operation mode of the water treatment system according to the adjusted operation data of the third preset time, and ensuring that the water level constructed by treatment is kept in a preset operation range.
According to the water treatment system operation method, the optimized water treatment system model is used for predicting the future operation data of the water treatment system, the operation mode of the water treatment system is adjusted according to the prediction result, the water level constructed by treatment is ensured to be kept at a high water level, the overflow working condition is avoided, the risk caused by human errors is reduced, and the operation efficiency of the water treatment system is improved.
Example 4
As shown in fig. 4, the present embodiment provides a water treatment system model training system, which includes:
a data acquisition module 1, wherein the data acquisition module 1 is used for acquiring historical operating data of the water treatment system,
the simulation prediction module 2 is used for inputting first historical operation data and a preset period of the water treatment system at a first preset time into a water treatment system model for simulation to obtain predicted operation data corresponding to a second preset time;
the second preset time is determined according to the first preset time and the preset period;
specifically, the historical operation data of the water treatment system comprises first operation data of the water treatment system at a first preset time and second operation data of the water treatment system at a second preset time after at least one time period; in order to improve the training effect of the water treatment system model, the operation data after a plurality of time periods can be obtained and compared with the corresponding prediction data of the water treatment system model.
The error determining module 3 is used for determining an error value of the water treatment system model according to the predicted operation data and second historical operation data of second preset time;
and the parameter adjusting module 4 is used for adjusting the parameters of the water treatment system model until the error value is within a preset precision range so as to obtain the optimized water treatment system model.
If the error value of the water treatment system model is within the preset allowed accuracy range, the accuracy of the water treatment system model is high, and the water treatment system model can be used for predicting the operation of the water treatment system. Otherwise, adjusting the parameters of the water treatment system model by combining a manual searching mode and an optimization algorithm searching mode until the water treatment system model meets the precision requirement.
The water treatment system model training system of the embodiment inputs historical operation data of the water treatment system into the water treatment system model for simulation, and compares the obtained predicted operation data with corresponding historical operation data to adjust model parameters, so that modeling of the water treatment system is realized, simulation precision of the water treatment system model is improved, risks caused by human errors are reduced by applying the water treatment system model to operation and control of the water treatment system, and operation efficiency of the water treatment system is improved.
Example 5
As shown in fig. 5, the water treatment system model training system of this embodiment is a further improvement of embodiment 4, specifically:
the water treatment system comprises a treatment structure, a pipeline, a valve and a water pump; a typical water treatment system in a water treatment plant includes treatment structures, typically including flocculation and sedimentation units, filtration treatment units, clean water tanks, and water pumping houses, and piping and valves communicating between the treatment structures; the instantaneous water inflow and the instantaneous water outflow of each treatment unit can be adjusted by adjusting the upstream raw water pump and the valve. The treatment structure has the regulation and storage capacity, the flocculation precipitation unit has the special requirement of sludge discharge, and the filtration treatment unit has the special requirement of backwashing wastewater.
The water treatment system model training system further comprises:
the model building module 5 is used for building a processing construction model and a pipeline model by using a hydraulics calculation formula according to the parameters of the processing construction and the pipeline;
the calculation formula of the pipeline according to the hydraulics theory is as follows:
Q I +Q O ＝0
H I ＝H O -h f
the meaning of each parameter is as follows:
the processing and construction are carried out by taking a clean water pool as an example, and the hydraulic model formula of the clean water pool is as follows:
H I ＝H O ＝H t
s.t.H t ≥H L
H t ≥H y :
the meaning of each parameter is as follows:
the model building module 5 is also used for building a water pump model according to a flow-lift curve of the water pump;
in actual operation, a water pump of the water pump delivery room works on a working condition point of a curve, and the actual working lift is determined by the water level of the clean water tank, the pressure of a pump opening and the head loss; if the water pump adopts a variable frequency speed regulating device, a device supplier provides flow-lift curves under different frequencies.
The model establishing module 5 is also used for establishing a valve model according to a head loss coefficient-opening degree relation curve of the valve;
the model building module 5 is also used for carrying out combined processing on the building model, the pipeline model, the valve model and the water pump model to obtain a water treatment system model.
The operation data comprises the water inflow constructed by treatment, the water level constructed by treatment, the water outlet constructed by treatment, the opening degree of a valve and the power of a water pump.
The water treatment system model of the present embodiment is a simulation system based on the Modelica modeling language, but the establishment of the water treatment system model is not limited to the use of the Modelica modeling language.
The water treatment system model training system of the embodiment realizes the modeling of the water treatment system by utilizing the parameters and the physical formulas of the treatment structure, the pipeline, the valve and the water pump, improves the simulation precision of the water treatment system model, reduces the risk caused by human errors by applying the water treatment system model to the operation and control of the water treatment system, and improves the operation efficiency of the water treatment system.
Example 6
As shown in fig. 6, the present embodiment provides a water treatment system operating system including:
the operation data acquisition module 6 is used for acquiring the operation data of the water treatment system at a third preset time;
specifically, at present, a water demand prediction technology based on data analysis in a short time is mature, and the change of the water inflow or the water outflow of the water treatment system in a short time in the future can be acquired by using the water demand prediction technology. For example, in actual production, when the upstream inflow or outflow of the water treatment system is predicted to change, the operating water level and the inflow or outflow of the clean water tank after a certain period of time can be estimated.
The operation data prediction module 7 is configured to input the operation data at the third preset time and the preset time period into the optimized water treatment system model obtained by using the water treatment system model training system of embodiment 4 or embodiment 5, so as to obtain operation data at a fourth preset time;
the fourth preset time is determined according to the third preset time and the preset time period;
and the operation data adjusting module 8 is used for adjusting the operation data of the third preset time and calling the operation data predicting module to input the adjusted operation data of the third preset time and the preset time period into the optimized water treatment system model if the operation data of the fourth preset time exceeds the preset operation range until the operation data of the fourth preset time is in the operation range.
Specifically, the water treatment system should be ensured to be operated at a high water level as much as possible, the occurrence of overflow working conditions is avoided as much as possible, and the water level of the water treatment system should be kept within a preset operation range. And adjusting the operation mode of the water treatment system according to the adjusted operation data of the third preset time, and ensuring that the water level constructed by treatment is kept in a preset operation range.
The water treatment system operation system of the embodiment predicts the future operation data of the water treatment system by using the optimized water treatment system model, adjusts the operation mode of the water treatment system according to the prediction result, ensures that the water level constructed by treatment is kept at a high water level, avoids the occurrence of an overflow working condition, reduces the risk brought by human errors, and improves the operation efficiency of the water treatment system.
Example 7
Fig. 7 is a schematic structural diagram of an electronic device according to embodiment 7 of the present invention. The electronic device comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the water treatment system model training method of embodiment 1 and embodiment 2 or the water treatment system running method of embodiment 3. The electronic device 30 shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.
As shown in fig. 7, the electronic device 30 may be embodied in the form of a general purpose computing device, which may be, for example, a server device. The components of the electronic device 30 may include, but are not limited to: the at least one processor 31, the at least one memory 32, and a bus 33 connecting the various system components (including the memory 32 and the processor 31).
The bus 33 includes a data bus, an address bus, and a control bus.
The memory 32 may include volatile memory, such as Random Access Memory (RAM) 321 and/or cache memory 322, and may further include Read Only Memory (ROM) 323.
The processor 31 executes various functional applications and data processing, such as the model training method of embodiment 1 of the present invention or the spam recognition method of embodiment 2, by running a computer program stored in the memory 32.
The electronic device 30 may also communicate with one or more external devices 34 (e.g., keyboard, pointing device, etc.). Such communication may be through input/output (I/O) interfaces 35. Also, model-generating device 30 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via network adapter 36. As shown, network adapter 36 communicates with the other modules of model-generating device 30 via bus 33. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the model-generating device 30, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.
It should be noted that although in the above detailed description several units/modules or sub-units/modules of the electronic device are mentioned, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module according to embodiments of the invention. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.
Example 8
The present embodiment provides a computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the steps of the water treatment system model training method of embodiment 1, embodiment 2, or the water treatment system operating method of embodiment 3.
More specific examples, among others, that the readable storage medium may employ may include, but are not limited to: a portable disk, hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.
In a possible implementation, the invention can also be implemented in the form of a program product comprising program code for causing a terminal device to perform the steps of implementing the water treatment system model training method of example 1, example 2 or the water treatment system operating method of example 3, when the program product is run on the terminal device.
Where program code for carrying out the invention is written in any combination of one or more programming languages, the program code may be executed entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device, partly on a remote device or entirely on the remote device.
While specific embodiments of the invention have been described above, it will be understood by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes or modifications to these embodiments may be made by those skilled in the art without departing from the principle and spirit of this invention, and these changes and modifications are within the scope of this invention.
Claims (8)
1. A water treatment system model training method, comprising:
acquiring historical operation data of the water treatment system, wherein the water treatment system comprises a treatment structure, a pipeline, a valve and a water pump;
according to the parameters of the treatment structure and the pipeline, a hydraulic calculation formula is utilized to establish a treatment structure model and a pipeline model, a water pump model is established according to a flow-lift curve of the water pump, a valve model is established according to a head loss coefficient-opening degree relation curve of the valve, and the treatment structure model, the pipeline model, the valve model and the water pump model are combined to obtain the water treatment system model;
inputting first historical operation data and a preset period of the water treatment system at a first preset time into a water treatment system model for simulation to obtain predicted operation data corresponding to a second preset time;
the second preset time is determined according to the first preset time and the preset period;
determining an error value of the water treatment system model according to the predicted operation data and second historical operation data of the second preset time; adjusting parameters of the water treatment system model until the error value is within a preset precision range to obtain an optimized water treatment system model;
wherein the pipeline model is established using the following hydraulic calculation formula:
establishing the processing and constructing model by using the following hydraulic calculation formula:
2. The water treatment system model training method of claim 1, wherein the operational data comprises a water inlet of the treatment configuration, a water level of the treatment configuration, a water outlet of the treatment configuration, an opening of the valve, and a power of the water pump.
3. A method of operating a water treatment system, the method comprising:
acquiring operation data of the water treatment system at a third preset time;
inputting the third preset time of operation data and a preset time period into the optimized water treatment system model obtained by the water treatment system model training method according to claim 1 or 2 to obtain fourth preset time of operation data;
the fourth preset time is determined according to the third preset time and the preset time period;
and if the operation data of the fourth preset time exceeds a preset operation range, adjusting the operation data of the third preset time and inputting the adjusted operation data of the third preset time and a preset time period into the optimized water treatment system model until the operation data of the fourth preset time is in the operation range.
4. A water treatment system model training system, comprising:
the data acquisition module is used for acquiring historical operating data of the water treatment system, wherein the water treatment system comprises a treatment structure, a pipeline, a valve and a water pump;
the module establishing module is used for establishing a treatment construction model and a pipeline model by using a hydraulics calculation formula according to the parameters of the treatment construction and the pipeline, establishing a water pump model according to a flow-lift curve of the water pump, establishing a valve model according to a head loss coefficient-opening degree relation curve of the valve, and combining the treatment construction model, the pipeline model, the valve model and the water pump model to obtain the water treatment system model;
the simulation prediction module is used for inputting first historical operation data and a preset period of the water treatment system at first preset time into a water treatment system model for simulation to obtain predicted operation data corresponding to second preset time;
the second preset time is determined according to the first preset time and the preset period;
an error determination module for determining an error value of the water treatment system model based on the predicted operation data and second historical operation data for the second predetermined time;
the parameter adjusting module is used for adjusting the parameters of the water treatment system model until the error value is within a preset precision range so as to obtain an optimized water treatment system model;
wherein the module building module is used for building the pipeline model by using the following hydraulic calculation formula:
the water inflow constructed for the treatment,
the water output constructed for the treatment,
in order to achieve the on-the-way head loss,
in order to be the flow rate of the gas,
is the sectional area of the pipeline,
is a pipe diameter,
in order to be a flow velocity coefficient,
is the hydraulic radius, l is the length of the pipeline;
the module building module is used for building the processing building model by using the following hydraulic calculation formula:
5. The water treatment system model training system of claim 4 wherein the operational data comprises a water inlet of the treatment configuration, a water level of the treatment configuration, a water outlet of the treatment configuration, an opening of the valve, and a power of the water pump.
6. A water treatment system operating system, comprising:
the operation data acquisition module is used for acquiring operation data of the water treatment system at a third preset time;
an operation data prediction module, configured to input the operation data at the third preset time and a preset time period into an optimized water treatment system model obtained by using the water treatment system model training system according to claim 4 or 5, so as to obtain operation data at a fourth preset time;
the fourth preset time is determined according to the third preset time and the preset time period;
and the operation data adjusting module is used for adjusting the operation data of the third preset time and calling the operation data predicting module to input the adjusted operation data of the third preset time and a preset time period into the optimized water treatment system model if the operation data of the fourth preset time exceeds a preset operation range until the operation data of the fourth preset time is in the operation range.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the water treatment system model training method of claim 1 or 2 and/or the water treatment system operation method of claim 3 when executing the computer program.
8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the water treatment system model training method of claim 1 or 2 and/or the water treatment system operating method of claim 3.
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