CN111027750A - Method and device for predicting maintenance time of evaporator - Google Patents
Method and device for predicting maintenance time of evaporator Download PDFInfo
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Abstract
The invention is suitable for the technical field of energy, and provides a method and a device for predicting the maintenance time of an evaporator, wherein the method comprises the following steps: acquiring the energy consumption excess of the evaporator according to the metering energy consumption of the evaporator and the standard energy consumption of the raw material liquid; acquiring the accumulated energy consumption excess loss of the evaporator in a determined time period according to the energy consumption excess loss; and obtaining the maintenance time of the evaporator according to the accumulated energy consumption over-loss amount, the energy consumption over-loss amount and an energy consumption over-loss amount model. The method for predicting the maintenance time of the evaporator provided by the invention can be used for cleaning the evaporator in advance, so that the reduction range of the heat exchange efficiency of the evaporator before cleaning is reduced, the production and maintenance cost is reduced, and the damage to production and operation is reduced.
Description
Technical Field
The invention belongs to the technical field of energy, and particularly relates to a method and a device for predicting the maintenance time of an evaporator.
Background
The evaporator may be scaled due to evaporation crystallization of salts or calcium and magnesium ions in the stock solution or temperature of the stock solution during operation of the evaporator, and the scaling of the evaporator may increase heat transfer resistance of the evaporator, greatly decrease heat transfer coefficient, reduce evaporation capacity, and may affect production or even cause production stoppage when the evaporator is heavily scaled.
For the problem of evaporator scaling cleaning, maintenance such as cleaning of key parts of an evaporator is generally arranged according to a preset scheme after energy consumption is remarkably increased at present, so that heat exchange efficiency of the evaporator is excessively reduced before cleaning, energy is wasted, production and maintenance cost is increased, and certain damage is caused to production and maintenance.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for predicting evaporator maintenance time, a terminal device, and a computer-readable storage medium, so as to solve the technical problem that the prior art cannot timely clean an evaporator, so that the reduction of heat exchange efficiency of the evaporator before cleaning is reduced. In a first aspect of the embodiments of the present invention, a method for predicting evaporator maintenance time is provided, including:
acquiring the energy consumption excess of the evaporator according to the metering energy consumption of the evaporator and the standard energy consumption of the raw material liquid;
acquiring the accumulated energy consumption excess loss of the evaporator in a determined time period according to the energy consumption excess loss;
and obtaining the maintenance time of the evaporator according to the accumulated energy consumption over-loss amount, the energy consumption over-loss amount and an energy consumption over-loss amount model.
In a second aspect of the embodiments of the present invention, there is provided an evaporator maintenance time prediction apparatus, including:
the first acquisition module is used for acquiring the energy consumption excess of the evaporator according to the metering energy consumption of the evaporator and the standard energy consumption of the raw material liquid;
the second acquisition module is used for acquiring the accumulated energy consumption excess loss of the evaporator in a determined time period according to the energy consumption excess loss;
and the time obtaining module is used for obtaining the maintenance time of the evaporator according to the accumulated energy consumption over-loss amount, the energy consumption over-loss amount and the energy consumption over-loss amount model.
In a third aspect of the embodiments of the present invention, a terminal device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the steps of the method for predicting the evaporator maintenance time are implemented.
In a fourth aspect of the embodiments of the present invention, a computer-readable storage medium is provided, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the steps of the method for predicting the evaporator maintenance time.
The method for predicting the maintenance time of the evaporator provided by the embodiment of the invention has the beneficial effects that at least: according to the embodiment of the invention, firstly, the energy consumption excess loss of the evaporator is obtained according to the metering energy consumption of the evaporator and the standard energy consumption of the raw material liquid; secondly, acquiring the accumulated energy excess loss of the evaporator in a determined time period according to the energy consumption excess loss; and finally, acquiring the maintenance time of the evaporator according to the accumulated energy consumption over-loss amount, the energy consumption over-loss amount and the energy consumption over-loss amount model, so that the evaporator is cleaned in advance, the reduction range of the heat exchange efficiency of the evaporator before cleaning is reduced, the production and maintenance cost is reduced, and the damage to production and operation is reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic flow chart of an implementation of a method for predicting evaporator maintenance time according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a first implementation process for obtaining the energy consumption excess in the evaporator maintenance time prediction method provided by the embodiment of the invention;
FIG. 3 is a schematic flow chart of the second implementation of obtaining the metered energy consumption in the evaporator maintenance time prediction method according to the embodiment of the present invention;
FIG. 4 is a schematic flow chart of the implementation of the standard energy consumption for obtaining the raw material liquid in the method for predicting the evaporator maintenance time provided by the embodiment of the invention;
FIG. 5 is a schematic diagram of a second implementation flow of a method for predicting the evaporator maintenance time according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of an evaporator maintenance time prediction apparatus provided in an embodiment of the present invention;
FIG. 7 is a schematic diagram of a first capture module in an evaporator maintenance time prediction apparatus provided in an embodiment of the invention;
fig. 8 is a schematic diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention, are within the scope of the invention. Unless otherwise specified, the technical means used in the examples are conventional means well known to those skilled in the art.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
Referring to fig. 1, a schematic flow chart of an implementation of a method for predicting an evaporator maintenance time according to an embodiment of the present invention is provided, where the method may include:
step S101: and acquiring the energy consumption excess of the evaporator according to the metering energy consumption of the evaporator and the standard energy consumption of the raw material liquid.
Referring to fig. 2, in the present embodiment, the step S101 may include the following steps:
step S201: and acquiring the metering energy consumption of the evaporator according to the valve information of the evaporator.
Referring to fig. 3, in the present embodiment, obtaining the metered energy consumption of the evaporator may include the following steps:
step S301: and acquiring the sectional area of a valve of the evaporator, the flow rate of steam and the density of the steam.
In this embodiment, the valve area is S ═ d · α · pi · r2Where d is the valve stem pitch, α is the valve opening, r is the pipe radius before and after the valve, V (t) is the steam flow rate, which is constant if the steam flow rate is stable,
wherein dp is the valve pressure difference, ρ is the steam density, wherein the steam density ρ (t) may be variable or constant, and the continuous time model may beAccording to the discretization processing of the data situation, the valve cross-sectional area, the steam flow rate and the steam density are calculated through the valve parameters, so that the obtained data are more accurate, and a data source is provided for the subsequent calculation and metering of the energy consumption.
Step S302: and acquiring the metering energy consumption according to the valve sectional area, the steam flow rate and the steam density.
The metering energy consumption is as follows:
U＝∫S·V(t)·ρ(t)dt
wherein S is the valve cross-sectional area, V (t) is the steam flow rate, ρ (t) is the steam density, and t is a certain time.
In this embodiment, the evaporator valve types should include, but are not limited to: the present invention is exemplified by a diaphragm valve, a gate type cut-off valve, a ball type cut-off valve, a butterfly type cut-off valve, and the like.
In this embodiment, through obtaining valve sectional area, steam flow rate and the steam density of evaporimeter, according to valve sectional area, steam flow rate and the steam density, obtain the measurement energy consumption, provide the data source for follow-up calculation energy consumption excess loss.
Step S202: and acquiring the standard energy consumption of the raw material liquid according to the valve information, the real-time temperature data and the energy consumption correlation factor related to the attribute of the raw material liquid.
Referring to fig. 4, the step of obtaining the standard energy consumption of the raw material liquid in this embodiment may include the following steps:
step S401: and acquiring energy consumption correlation factors related to the valve information, the real-time temperature data and the raw material liquid attribute.
In this embodiment, the energy consumption correlation factor related to the raw material liquid related attribute may include, but is not limited to: the feed concentration of the raw material liquid, the effluent concentration of the raw material liquid, the heat conductivity coefficient of the raw material liquid and the like.
Step S402: and acquiring the standard energy consumption of the raw material liquid according to the valve information, the real-time temperature data and the energy consumption correlation factor related to the attribute of the raw material liquid.
The standard energy consumption of the raw material liquid is as follows:
STD＝β·T+γ·xi
wherein T is temperature factor in environment factor, α, β and gamma are coefficients, and x isiIs the energy consumption related factor related to the material liquid property.
In this embodiment, STD is with respect to xiThe expression method (2) is not limited to a first-order linear function, and may be a more complex functional expression such as a second-order or exponential function.
In this embodiment, in actual production, because the types of the raw material liquids are different, the scaling degrees of the evaporators are also different, and therefore, when calculating the standard energy consumption of the raw material liquids, calculation needs to be performed according to energy consumption correlation factors related to different raw material liquid attributes, so that the standard energy consumption values of the obtained raw material liquids are more accurate, and a data source is provided for subsequently calculating the excessive energy consumption.
Referring to fig. 2, step S203: and acquiring the energy consumption excess according to the measured energy consumption and the standard energy consumption of the raw material liquid, wherein the calculation formula of the energy consumption excess is as follows:
wherein U is the measured energy consumption, STD (x)1,…,xi,…,xmT) is the standard energy consumption of the standard solution, xiThe energy consumption correlation factor is related to the attribute of the raw material liquid, and t is a certain moment.
In this embodiment, firstly, the metering energy consumption of the evaporator is obtained according to the valve information of the evaporator, then, the standard energy consumption of the raw material liquid is obtained according to the valve information, the real-time temperature data and the energy consumption correlation factor related to the attribute of the raw material liquid, and finally, the difference value between the metering energy consumption and the standard energy consumption of the raw material liquid is taken as the energy consumption excess, so as to provide a data source for calculating the accumulated energy consumption excess.
Referring to fig. 1, step S102: and acquiring the accumulated energy consumption excess loss of the evaporator in a determined time period according to the energy consumption excess loss.
In this embodiment, the calculation formula of the accumulated energy consumption excess loss is:
wherein the content of the first and second substances,
t is a certain time for the energy consumption excessive loss.
In the present embodiment, the accumulated energy consumption excessive loss is an accumulated energy consumption excessive loss from an initial time to a current time, that is, the accumulated energy consumption excessive loss is
Is composed of
And the accumulated value or the integral value from the initial value point is used for acquiring the accumulated energy consumption excess loss, so that a data source is provided for acquiring the maintenance time of the evaporator subsequently.
Step S103: and obtaining the maintenance time of the evaporator according to the accumulated energy consumption over-loss amount, the energy consumption over-loss amount and an energy consumption over-loss amount model.
In this embodiment, a model parameter may be obtained according to the energy consumption excess loss, and the accumulated energy consumption excess loss and the model parameter are substituted into the energy consumption excess loss model to obtain the maintenance and cleaning time, where the energy consumption excess loss model is:
wherein the content of the first and second substances,
to accumulate the energy consumption over-loss α is the valve opening data, F (x)1,…,xi,…,xmT) is a model parameter, t is a certain time.
In this embodiment, the discrete data model problem is solved if the differential in the equation is replaced with a differential, and based on the requirement for mining the relationship between the energy consumption excess loss and the time interval from the next cleaning and scaling, a differential equation of the relationship between the energy consumption excess loss and the time is established, so as to solve the time distribution model of the energy consumption excess loss, and obtain the maintenance time of the evaporator.
The method for predicting the evaporator maintenance time provided by the embodiment has the advantages that: this embodiment is through the standard energy consumption according to the measurement energy consumption of evaporimeter and raw materials liquid, acquires the energy consumption excess loss volume of evaporimeter, according to the energy consumption excess loss volume acquires in the definite time quantum the accumulative total energy consumption excess loss volume of evaporimeter, according to accumulative total energy consumption excess loss volume and energy consumption excess loss volume model acquire the maintenance time of evaporimeter. In conclusion, the method for predicting the maintenance time of the evaporator provided by the invention enables people to clean the evaporator in advance, so that the reduction range of the heat exchange efficiency of the evaporator before cleaning is reduced, the production and maintenance cost is reduced, and the damage to production and operation is reduced.
Referring to fig. 5, an embodiment of a method for predicting evaporator maintenance time is described below.
Step S501: acquiring the sectional area of a valve of the evaporator, the flow rate of steam and the density of the steam;
step S502: obtaining the metering energy consumption according to the valve sectional area, the steam flow rate and the steam density;
step S503: acquiring energy consumption correlation factors related to the valve information, the real-time temperature data and the attribute of the raw material liquid;
step S504: acquiring standard energy consumption of the raw material liquid according to the valve information, the real-time temperature data and energy consumption correlation factors related to the raw material liquid properties;
step S505: acquiring the energy consumption excess according to the measured energy consumption and the standard energy consumption of the raw material liquid;
step S506: acquiring the accumulated energy consumption excess loss of the evaporator in a determined time period according to the energy consumption excess loss;
step S507: and obtaining the maintenance time of the evaporator according to the accumulated energy consumption over-loss amount, the energy consumption over-loss amount and an energy consumption over-loss amount model.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
An object of an embodiment of the present invention is to provide an evaporator maintenance time prediction apparatus, and fig. 6 is a schematic diagram of an evaporator maintenance time prediction apparatus, and for convenience of description, only a part related to an embodiment of the present application is shown.
An object of an embodiment of the present invention is to provide an evaporator maintenance time prediction apparatus, and fig. 6 is a schematic diagram of an evaporator maintenance time prediction apparatus, and for convenience of description, only a part related to an embodiment of the present application is shown.
Referring to fig. 6, the evaporator maintenance time prediction apparatus includes a first obtaining module 601, a second obtaining module 602, and a time obtaining module 603. The first obtaining module 601 is configured to obtain an energy consumption excess of the evaporator according to a metering energy consumption of the evaporator and a standard energy consumption of the raw material liquid; the second obtaining module 602 is configured to obtain, according to the energy consumption excess loss, an accumulated energy consumption excess loss of the evaporator in a certain time period; the time obtaining module 603 is configured to obtain the maintenance time of the evaporator according to the accumulated energy consumption excess loss, the energy consumption excess loss, and an energy consumption excess loss model.
Referring to fig. 7, the first obtaining module 601 further includes a first obtaining unit 701, a second obtaining unit 702, and a third obtaining unit 703. The first obtaining unit 701 is used for obtaining the metering energy consumption of the evaporator according to the valve information of the evaporator, the second obtaining unit 702 is used for obtaining the fitting standard energy consumption according to the valve opening of the valve and the correlation factor of the raw material liquid, and the third obtaining unit 703 is used for obtaining the energy consumption excess loss according to the metering energy consumption and the fitting standard energy consumption.
Fig. 8 is a schematic diagram of a terminal device according to an embodiment of the present invention. As shown in fig. 8, the terminal device 8 of this embodiment includes: a processor 80, a memory 81, and a computer program 82 stored in the memory 81 and operable on the processor 80, wherein the processor 80 executes the computer program 82 to implement the steps in the above-mentioned embodiments of the method for predicting the evaporator maintenance time, such as the steps S101 to S103 shown in fig. 1. Alternatively, the processor 80, when executing the computer program 82, implements the functions of each module/unit in each device embodiment described above, for example, the functions of the modules 601 to 603 shown in fig. 6.
Illustratively, the computer program 82 may be partitioned into one or more modules/units that are stored in the memory 81 and executed by the processor 80 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program 82 in the terminal device 11.
The terminal device 8 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal device may include, but is not limited to, the processor 80 and the memory 81. Those skilled in the art will appreciate that fig. 8 is merely an example of a terminal device 8 and does not constitute a limitation of terminal device 8 and may include more or fewer components than shown, or some components may be combined, or different components, e.g., the terminal device may also include input-output devices, network access devices, buses, etc.
The Processor 80 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 81 may be an internal storage unit of the terminal device 8, such as a hard disk or a memory of the terminal device 8. The memory 81 may also be an external storage device of the terminal device 8, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) and the like provided on the terminal device 8. Further, the memory 81 may also include both an internal storage unit and an external storage device of the terminal device 8. The memory 81 is used for storing the computer program and other programs and data required by the terminal device. The memory 81 may also be used to temporarily store data that has been output or is to be output.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by a computer program, which can be stored in a computer-readable storage medium and can realize the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
Specifically, the present application further provides a computer-readable storage medium, which may be a computer-readable storage medium contained in the memory in the foregoing embodiments; or it may be a separate computer-readable storage medium not incorporated into the terminal device. The computer readable storage medium stores one or more computer programs:
a computer-readable storage medium comprising a computer program stored thereon, which, when being executed by a processor, carries out the steps of the method for predicting the evaporator maintenance time.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
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 implementation. 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 invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed 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 can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A method of prediction of evaporator maintenance time, comprising:
acquiring the energy consumption excess of the evaporator according to the metering energy consumption of the evaporator and the standard energy consumption of the raw material liquid;
acquiring the accumulated energy consumption excess loss of the evaporator in a determined time period according to the energy consumption excess loss;
and obtaining the maintenance time of the evaporator according to the accumulated energy consumption over-loss amount, the energy consumption over-loss amount and an energy consumption over-loss amount model.
2. The method of predicting evaporator maintenance time according to claim 1, wherein the obtaining an energy consumption excess of the evaporator based on the measured energy consumption of the evaporator and a standard energy consumption of the feed solution comprises:
acquiring the metering energy consumption of the evaporator according to the valve information of the evaporator;
acquiring standard energy consumption of the raw material liquid according to the valve information, the real-time temperature data and energy consumption correlation factors related to the raw material liquid properties;
and acquiring the energy consumption excess according to the measured energy consumption and the standard energy consumption of the raw material liquid, wherein the calculation formula of the energy consumption excess is as follows:
wherein U is the measured energy consumption, STD (x)1，...，xi，...，xmT) is the standard energy consumption of the standard solution, xiIs the energy consumption related factor related to the material liquid property.
3. The method for predicting evaporator maintenance time according to claim 2, wherein when the obtaining the metered energy consumption of the evaporator based on the evaporator valve information comprises:
acquiring the sectional area of a valve of the evaporator, the flow rate of steam and the density of the steam;
obtaining the metering energy consumption according to the valve sectional area, the steam flow rate and the steam density, wherein the metering energy consumption is as follows:
U＝∫S·V(t)·ρ(t)dt
wherein S is the valve cross-sectional area, V (t) is the steam flow rate, and ρ (t) is the steam density.
4. The method of claim 2, wherein obtaining the standard energy consumption of the feed solution based on the valve information, the real-time temperature data, and an energy consumption correlation factor associated with the feed solution property comprises:
acquiring energy consumption correlation factors related to the valve information, the real-time temperature data and the attribute of the raw material liquid;
acquiring the standard energy consumption of the raw material liquid according to the valve information, the real-time temperature data and the energy consumption correlation factor related to the attribute of the raw material liquid, wherein the standard energy consumption of the raw material liquid is as follows:
STD＝β·T+γ·xi
wherein T is temperature factor in environment factor, α, β and gamma are coefficients, and x isiIs the energy consumption related factor related to the material liquid property.
5. The method for predicting the maintenance time of the evaporator according to claim 1, wherein the obtaining of the accumulated energy consumption excess loss of the evaporator in the determined period of time according to the energy consumption excess loss is performed according to a calculation formula of:
wherein the content of the first and second substances,
is the energy consumption excessive loss.
6. The method for predicting the maintenance time of the evaporator according to any one of claims 1 to 5, wherein the obtaining the maintenance time of the evaporator according to the accumulated energy consumption excessive loss amount, the energy consumption excessive loss amount and the energy consumption excessive loss amount model comprises:
obtaining model parameters according to the energy consumption excess loss;
substituting the accumulated energy consumption excess loss amount and the model parameters into the energy consumption excess loss amount model to obtain the maintenance and cleaning time, wherein the energy consumption excess loss amount model is as follows:
wherein the content of the first and second substances,
to accumulate the energy consumption over-loss α is the valve opening data, F (x)1，...，xi，...，xmAnd t) is a model parameter.
7. An evaporator maintenance time prediction apparatus, comprising:
the first acquisition module is used for acquiring the energy consumption excess of the evaporator according to the metering energy consumption of the evaporator and the standard energy consumption of the raw material liquid;
the second acquisition module is used for acquiring the accumulated energy consumption over-loss amount of the evaporator in a determined time period according to the energy consumption over-loss amount;
and the time obtaining module is used for obtaining the maintenance time of the evaporator according to the accumulated energy consumption over-loss amount, the energy consumption over-loss amount and the energy consumption over-loss amount model.
8. The apparatus of claim 7, wherein the first obtaining module comprises:
the first obtaining unit is used for obtaining the metering energy consumption of the evaporator according to the valve information of the evaporator;
the second obtaining unit is used for obtaining the standard energy consumption of the raw material liquid according to the valve information, the real-time temperature data and the energy consumption correlation factor related to the attribute of the raw material liquid;
the third obtaining unit is configured to obtain the energy consumption excess according to the measured energy consumption and the standard energy consumption of the raw material liquid, where a calculation formula of the energy consumption excess is:
wherein U is the measured energy consumption, STD (x)1，...，xi，...，xmAnd t) is the standard energy consumption of the raw material liquid.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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