Disclosure of Invention
In order to achieve the above purpose, the invention adopts the following technical scheme:
in one aspect of the present invention, there is provided a method for monitoring an operation state of an artificial wetland, including the steps of:
Based on the distributed sensing node array, collecting water flow permeation rates, medium temperature gradients and dissolved matter concentration distribution of different depths and areas of the constructed wetland in real time to generate a three-dimensional dynamic thermal-matter diffusion map;
Based on a three-dimensional dynamic thermal-substance diffusion map, extracting an actual flux difference value of an input-output section, and calculating the deviation degree of the current actual load and the theoretical purification capacity by combining the historical adsorption capacity of a wetland medium;
integrating the current early warning report corresponding to the historical load data and the deviation, constructing a medium metabolism efficiency attenuation curve, predicting the saturated adsorption period of matrixes in different areas, and deducing the optimal maintenance node reversely.
In an alternative embodiment, a process for generating a three-dimensional dynamic thermo-material diffusion profile includes the steps of:
Acquiring a three-dimensional image of the constructed wetland, arranging sensing node clusters on the three-dimensional image according to three-dimensional grid distribution, and synchronously acquiring water flow permeation rate, medium temperature change rate and dissolved matter concentration gradient of the position of the constructed wetland by each sensing node in the vertical and horizontal directions to form a discretized space sampling lattice;
The method comprises the steps of mapping data of water flow permeation rate of sampling points of a space sampling lattice into a continuous three-dimensional flow velocity field, simultaneously converting data of medium temperature change rate into a heat conduction direction and an intensity distribution curved surface, and reconstructing a concentration gradient of a dissolved substance into a dynamic material diffusion field;
The three-dimensional dynamic thermodynamic-material diffusion map with space-time continuity is formed by fusing the coupling relation of the water flow permeation rate field, the temperature gradient field and the material dynamic diffusion field in a hierarchical superposition mode, wherein different tangential planes of the three-dimensional dynamic thermodynamic-material diffusion map show material transportation tracks under thermodynamic drive through dynamic rendering, and the spatial heterogeneity of permeation rate and concentration is shown in an isosurface form.
In an alternative embodiment, a process for generating a dynamically shifted trajectory of a dynamic diffusion field of a substance includes the steps of:
After a continuous three-dimensional flow velocity field, a heat conduction direction and an intensity distribution curved surface are obtained, a bidirectional association mechanism of thermodynamic drive and fluid motion is established, and the vector direction and intensity of a permeation rate field determine a macroscopic migration mode of a fluid medium in a three-dimensional space;
The original migration track of the dynamic diffusion field of the substance is deconstructed into two components layer by layer, namely a advection transport substrate track which is guided by a permeation rate field and a thermally induced disturbance track which is modulated by a temperature gradient field;
the space-time distribution data of the dynamic deviation track is encoded into a migration path correction amount of a material diffusion field, the migration path correction amount acts on a hierarchical superposition fusion process, and the material transportation track in the three-dimensional dynamic thermal-material diffusion map simultaneously shows the dual characteristics of fluid motion and thermal driving.
In an alternative implementation mode, the temperature change gradient on the heat conduction direction and the intensity distribution curved surface is dynamically tracked and quantified as a heat convection correction factor, the medium volume change caused by heat conduction is superimposed on the original vector of the permeation rate field in the high-intensity area of the temperature gradient field to form a corrected equivalent flow rate vector, and the solute migration path of each spatial point in the three-dimensional space is redefined by the combination direction of the equivalent flow rate vector and the temperature gradient vector.
In an alternative embodiment, the process of calculating the deviation of the current actual load from the theoretical purifying capacity comprises the steps of:
the method comprises the steps of obtaining the spatial structural characteristics of a three-dimensional dynamic thermodynamic-material diffusion map, dividing a dynamic monitoring section in a water inlet diffusion area and a water outlet collection area of the constructed wetland, locking an initial pollutant injection area by the input dynamic monitoring section, and covering a tail end purification completion area by the output dynamic monitoring section;
In the input dynamic monitoring section, extracting tangential components of a water flow permeation rate vector, a dissolved matter concentration gradient and a medium temperature field through a three-dimensional dynamic thermal-substance diffusion map, and calculating pollutant input flux in unit time;
Constructing a medium adsorption efficiency curved surface based on historical adsorption capacity data, reflecting the maximum pollutant interception thresholds of matrixes in different areas under different temperature and flow rate conditions, carrying out spatial registration on a permeation rate field, a temperature gradient field and the medium adsorption efficiency curved surface in a current three-dimensional dynamic thermodynamic-material diffusion map, and generating a theoretical purification capacity distribution field by field coupling calculation, wherein the numerical value of the theoretical purification capacity distribution field represents the maximum pollutant interception quantity which can be borne by a wetland medium under the current environmental parameters;
The actual flux difference value of the input-output section is compared with the spatial integral value of the theoretical purification capacity distribution field, and the offset ratio of the actual flux difference value relative to the spatial integral value of the theoretical purification capacity distribution field is mapped into 0-1 standardized parameters.
In an alternative embodiment, wherein the spatial mapping of both the initial contaminant injection region and the end purge completion region is determined by the topology of the species diffusion paths in the generated three-dimensional dynamic thermo-species diffusion map.
In an alternative embodiment, the pollutant input flux is determined by the dot product of the permeation rate vector and the concentration gradient, and the correction of the temperature gradient to the material migration rate is added, the pollutant output flux is calculated by adopting the same principle in the output dynamic monitoring section, the influence weight of the medium adsorption effect is introduced, and the proportion of the pollutant trapped by the wetland medium in the pollutant output flux is stripped from the total flux according to the historical adsorption capacity database.
In an alternative embodiment, the actual flux difference is pollutant input flux-pollutant output flux, 0 represents complete matching theoretical purification capacity, 1 represents serious overload critical state, and 0-1 standardized parameter establishes spatial correlation with thermodynamic-material coupling characteristics in a three-dimensional dynamic thermodynamic-material diffusion map to identify high risk areas prone to adsorption failure.
In another aspect of the present invention, there is provided an artificial wetland operation state monitoring system for the artificial wetland operation state monitoring method, the artificial wetland operation state monitoring system comprising:
the map generation module is used for acquiring water flow permeation rates, medium temperature gradients and dissolved matter concentration distribution of different depths and areas of the constructed wetland in real time based on the distributed sensing node array to generate a three-dimensional dynamic thermodynamic-material diffusion map;
The deviation degree calculation module is used for extracting the actual flux difference value of the input-output section based on the three-dimensional dynamic thermal-substance diffusion map, and calculating the deviation degree of the current actual load and the theoretical purification capacity by combining the historical adsorption capacity of the wetland medium;
The period prediction module is used for integrating the current early warning report corresponding to the historical load data and the deviation degree, constructing a medium metabolism efficiency attenuation curve, predicting the saturated adsorption period of the matrixes in different areas, and reversely deducing the optimal maintenance node.
Compared with the prior art, the invention solves three core pain points of invisible, inaccurate judgment and untimely adjustment in the operation management of the constructed wetland, and provides key technical support for the intelligent upgrading of the ecological sewage treatment facility.
Detailed Description
The following description of the technical solutions according to the embodiments of the present invention will be given with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments.
Hereinafter, the terms "first," "second," and the like are used for descriptive convenience only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", etc. may explicitly or implicitly include one or more such feature. In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the present invention, unless specifically stated and limited otherwise, the term "coupled" is to be interpreted broadly, as for example, whether mechanically coupled in a fixed or detachable manner, or integrally formed, or whether directly coupled or indirectly coupled via an intermediary. In addition, unless explicitly specified and limited otherwise, the term "coupled" should be construed broadly, for example, the "coupled" may be a direct electrical connection, for example, two components are in physical contact and electrically connected, or may be an electrical connection between different components in a circuit structure through a printed circuit board (printed circuit board, PCB) copper foil or a wire, which may transmit an electrical signal, so as to transmit an electrical signal, or the "coupled" may be an indirect electrical connection between two components through an intermediate medium, or the "coupled" may be an electrical connection between two components through a space/non-contact manner, for example, an electrical connection between two components in a capacitive coupling manner, so as to transmit an electrical signal.
In embodiments of the invention, the terms "upper," "lower," "left," "right," and the like may be defined by, but are not limited to, orientations relative to the component illustrated in the figures, it being understood that the directional terms may be relative in terms of description and clarity, and may be varied accordingly to changes in the orientation of the component illustrated in the figures.
Example 1:
As shown in fig. 1, an embodiment of the present invention provides a method for monitoring an operation state of an artificial wetland, including the following steps:
Step 100, based on a distributed sensing node array, collecting water flow permeation rates, medium temperature gradients and dissolved matter concentration distribution of different depths and areas of the constructed wetland in real time to generate a three-dimensional dynamic thermodynamic-material diffusion map;
Step 200, extracting an actual flux difference value of an input-output section based on a three-dimensional dynamic thermal-substance diffusion map, and calculating the deviation degree of the current actual load and the theoretical purification capacity by combining the historical adsorption capacity of a wetland medium;
And S300, integrating the current early warning report corresponding to the historical load data and the deviation degree, constructing a medium metabolism efficiency attenuation curve, predicting the saturated adsorption period of matrixes in different areas, and reversely deducing an optimal maintenance node.
In the embodiment, discrete physical-chemical-biological process parameters are converted into continuous decision flows through a space-time coupling model to form a complete technology chain of perception-diagnosis-prediction-regulation, and compared with the prior art, the method solves three core pain points of invisible, inaccurate judgment and untimely regulation in the operation management of the constructed wetland, and provides key technical support for the intelligent upgrading of the biological sewage treatment facility.
Example 2:
As shown in fig. 2, on the basis of embodiment 1, the process of generating a three-dimensional dynamic thermo-material diffusion map in step S100 provided in the embodiment of the present invention includes the following steps:
Step S101, acquiring a three-dimensional image of an artificial wetland, arranging sensing node clusters on the three-dimensional image according to three-dimensional grid distribution, continuously outputting multi-parameter sequence data by sensing nodes in a millisecond time stamp alignment mode, and synchronously acquiring water flow permeation rate, medium temperature change rate and solute concentration gradient of the position of the artificial wetland by each sensing node in the vertical and horizontal directions to form a discretized space sampling lattice;
Step S102, based on spatial interpolation filling, mapping data of water flow permeation rate of sampling points of a spatial sampling lattice into a continuous three-dimensional flow velocity field, simultaneously converting data of medium temperature change rate into a heat conduction direction and an intensity distribution curved surface, and reconstructing a dissolved matter concentration gradient into a material dynamic diffusion field;
And step 103, fusing the coupling relation of the water flow permeation rate field, the temperature gradient field and the material dynamic diffusion field in a hierarchical superposition mode to form a three-dimensional dynamic thermodynamic-material diffusion map with space-time continuity, wherein different tangential planes of the three-dimensional dynamic thermodynamic-material diffusion map show material transportation tracks under thermodynamic drive through dynamic rendering, and show the spatial heterogeneity of permeation rate and concentration in an isosurface form.
In the embodiment, the three-dimensional space-time dynamic visualization reconstruction of the thermal mass transmission process of the constructed wetland system is realized through the multi-source sensing network millisecond synchronous sampling and multi-physical field coupling modeling. The holographic field reconstruction capability is based on space-time alignment sampling data (permeation rate/temperature gradient/concentration gradient) of a discrete sensing node array, and the punctiform discrete observation ascending dimension is a coupling system of a continuous three-dimensional vector field (flow velocity field) +tensor field (heat conduction field) +scalar field (diffusion field), so that the space limitation of the traditional single-point monitoring is broken through.
Example 3:
On the basis of embodiment 2, the process of generating the dynamic offset trajectory of the dynamic diffusion field of the substance in step S102 provided in the embodiment of the present invention includes the following steps:
S1021, after a continuous three-dimensional flow velocity field, a heat conduction direction and an intensity distribution curved surface are obtained, a bidirectional association mechanism of thermodynamic drive and fluid motion is established, and a macroscopic migration mode of a fluid medium in a three-dimensional space is determined by the vector direction and the intensity of a permeation rate field;
Step S1022, dynamically tracking the heat conduction direction and the temperature change gradient on the intensity distribution curved surface, and quantifying the temperature change gradient into a heat convection correction factor, wherein in a high-intensity area of the temperature gradient field, the volume change of a medium caused by heat conduction is superimposed on the original vector of the permeation rate field to form a corrected equivalent flow velocity vector;
The original migration track of the dynamic diffusion field of the substance is deconstructed into two components layer by layer, namely a advection transport substrate track which is guided by a permeation rate field and a thermally induced disturbance track which is modulated by a temperature gradient field;
Step S1023, the space-time distribution data of the dynamic offset track is encoded into a migration path correction quantity of a substance diffusion field, the migration path correction quantity acts on a hierarchical superposition fusion process, and the substance transport track in the three-dimensional dynamic thermal-substance diffusion map simultaneously presents dual characteristics of fluid motion and thermal driving.
In the above embodiment, the present embodiment establishes a bidirectional dynamic coupling mechanism of the thermodynamic gradient field and the fluid permeation field, and the thermodynamic influence of the temperature gradient vector is quantized into the vector correction term of the permeation rate field through the medium volume change caused by the difference of the thermal expansion coefficients, thereby realizing the unified mathematical characterization of macroscopic advection transportation and microscopic thermally induced disturbance. The temperature change gradient is dynamically mapped into the modulation parameters of the equivalent flow velocity vector, so that the substance migration path of each discrete point in the three-dimensional space simultaneously comprises a fluid motion component (advection substrate track) and a thermal driving component (thermal disturbance track), and a composite diffusion path with unsteady state characteristics is formed. The space-time coupling expression of the double physical fields is realized in the three-dimensional dynamic thermodynamic-material diffusion map, wherein the permeation rate field determines a macroscopic frame structure for material transportation, the temperature gradient field is superimposed with periodic fluctuation characteristics on the frame, and the finally generated dynamic deviation track not only maintains the transportation directionality of fluid leading, but also has the local path fluctuation of thermodynamic driving. The limitation of the traditional single field coupling model is broken through, the real-time dynamic coupling calculation of the thermal convection effect and the permeation transportation process is realized on the three-dimensional space scale for the first time through a two-way association mechanism and a vector superposition algorithm, and a quantifiable multi-physical field collaborative simulation framework is provided for the accurate prediction of the material diffusion behavior in a complex environment.
Example 4:
As shown in fig. 3, in step S200 provided in the embodiment of the present invention, a process of calculating a deviation degree between a current actual load and a theoretical purifying capacity includes the following steps:
Step S201, acquiring spatial structural characteristics of a three-dimensional dynamic thermal-material diffusion map, and defining a dynamic monitoring section in a water inlet diffusion area and a water outlet collection area of the constructed wetland respectively;
The space mapping relation between the initial pollutant injection region and the tail end purification completion region is determined by the topological structure of a substance diffusion path in the generated three-dimensional dynamic thermodynamic-substance diffusion map;
S202, extracting tangential components of water flow permeation rate vectors, concentration gradients of dissolved matters and a medium temperature field through a three-dimensional dynamic thermodynamic-material diffusion map in an input dynamic monitoring section, and calculating pollutant input flux in unit time, wherein the pollutant input flux value is determined by dot products of the permeation rate vectors and the concentration gradients, and correcting the material migration rate by superposing the temperature gradients;
Step 203, constructing a medium adsorption efficiency curved surface based on historical adsorption capacity data, reflecting the maximum pollutant interception thresholds of matrixes in different areas under different temperature and flow rate conditions, carrying out spatial registration on a permeation rate field, a temperature gradient field and the medium adsorption efficiency curved surface in the current three-dimensional dynamic thermodynamic-material diffusion map, and generating a theoretical purification capacity distribution field through field coupling, wherein the numerical value of the theoretical purification capacity distribution field represents the maximum interception quantity of pollutants which can be borne by wetland mediums under the current environmental parameters;
According to the historical adsorption capacity database, matching the space position of the current output section, the medium type and the real-time temperature-flow speed condition to obtain the pollutant interception proportion parameter of the matrix of the corresponding area, and dynamically attenuating the original output flux value according to the interception proportion, wherein if 30% of pollutants can be intercepted by the matrix of the area under the current condition, the output flux value of the area is reserved by 70%;
Step S204, comparing the actual flux difference value (pollutant input flux-pollutant output flux) of the input-output section with the spatial integral value of the theoretical purification capacity distribution field, mapping the offset ratio of the actual flux difference value relative to the spatial integral value of the theoretical purification capacity distribution field into 0-1 standardized parameters, wherein 0 represents the completely matched theoretical purification capacity, 1 represents the critical state of serious overload, establishing spatial association between the 0-1 standardized parameters and thermodynamic-material coupling characteristics (such as the thermally induced migration acceleration effect of a high-temperature region) in the three-dimensional dynamic thermodynamic-material diffusion map, and identifying the high-risk region which is easy to generate adsorption failure;
If the actual flux difference value is smaller than the spatial integral value of the theoretical purification capacity distribution field, the medium adsorption capacity is not saturated, and the constructed wetland is in a safe operation interval;
and if the actual flux difference value approaches or exceeds the spatial integral value of the theoretical purification capacity distribution field, judging that the constructed wetland is locally or globally overloaded.
In the above embodiment, the pollutant flux is synchronously quantified on the input/output monitoring section based on the three-dimensional dynamic thermodynamic-material diffusion map, the dynamic input-output balance of the pollutant in the migration process is accurately reflected through the coupling calculation of the permeation rate vector, the concentration gradient and the temperature gradient, the temperature field correction term enables the flux calculation to cover the influence of thermodynamic effect on material migration, the trapped part is stripped from the output flux due to the introduction of the medium adsorption effect weight, and the accuracy of the actual escaping amount is ensured. By means of spatial registration of the curved surface of the medium adsorption efficiency and the current environmental parameters (permeation rate and temperature gradient), a theoretical purification capacity distribution field is generated, and the dynamic adsorption threshold values of the wetland medium in different areas are quantified to reflect the maximum pollutant bearing capacity of the system under the condition of thermal-fluid coupling. The model breaks through the limitation of traditional static adsorption capacity evaluation, and realizes dynamic mapping of the influence of real-time change of environmental parameters on purifying capacity. The actual flux difference value and the theoretical purification capacity are subjected to space integral comparison, the standardized parameter (0-1) intuitively characterizes the running state of the system, namely, the safe interval (the actual flux difference value is smaller than the space integral value of the theoretical purification capacity distribution field), the medium adsorption capacity is unsaturated, the system stably runs, the overload risk (the actual flux difference value is larger than or equal to the space integral value of the theoretical purification capacity distribution field), the local or global adsorption failure is needed to be subjected to early warning intervention, the parameter is associated with the thermal-material coupling characteristic (such as the thermal migration acceleration in a high-temperature area) in the three-dimensional dynamic thermal-material diffusion map, and the high-risk area which is easy to cause adsorption failure can be accurately positioned, so that a spatial basis is provided for operation and maintenance decision.
In summary, the embodiment realizes the multi-field coupling dynamic evaluation of the purification efficiency of the constructed wetland, and forms a complete technical chain from macroscopic operation state judgment to microscopic risk region identification by driving the real-time calculation of the theoretical purification capacity through environmental parameters and combining with the actual flux monitoring and quantifying the degree of deviation of the system.
Example 5:
On the basis of example 4, the process of calculating the pollutant input flux per unit time in step S202 provided in the embodiment of the present invention includes the following steps:
Step S2021, extracting tangential components of water flow permeation rate vectors, concentration gradients of dissolved matters and a medium temperature field from a generated three-dimensional dynamic thermodynamic-material diffusion map in an input dynamic monitoring section;
Step S2022, carrying out direction-intensity coupling operation on tangential component of permeation rate vector and concentration gradient of dissolved matter, wherein the operation is represented by basic capability of transporting pollutant in unit sectional area of water flow carrier, and operation result is represented by original flux value which is not corrected by environment;
Step S2023, performing time-varying integration on the corrected flux value in the three-dimensional space of the input section, aligning an integration window with a millisecond time stamp of data acquisition, and finally outputting the total input flux of the pollutants in unit time.
In the embodiment, the precise quantification of the pollutant transport flux is realized through the multiparameter coupling and the space-time integral operation of the three-dimensional dynamic monitoring section. The method has the core technical effects that a flux basic model based on fluid dynamics and mass transfer theory is established by coupling the tangential component of the water flow permeation rate vector and the concentration gradient of the dissolved substances in real time, the vector relation between hydrodynamic conditions and solute transport is accurately represented, and the problem of vector information loss of scalar product of flow velocity and concentration in the traditional method is solved. The spatial gradient correction coefficient of the medium temperature field is introduced, and the accurate quantification of migration acceleration (correction coefficient > 1) and low-temperature region molecular diffusion inhibition (correction coefficient < 1) caused by the Brownian motion enhancement in a high-temperature region is realized through the spatial mapping relation of temperature and flux. And a time-varying integration window synchronous with data acquisition is adopted, so that the smoothing effect of the transient transportation process caused by the traditional minute-order integration is eliminated.
Example 6:
as shown in fig. 4, based on example 4, the process of predicting the saturated adsorption period of the matrix in different areas in step 300 provided in the embodiment of the present invention includes the following steps:
Step 301, performing space-time alignment on a time sequence of historical load data and deviation space distribution data to form metabolic trace vectors of three-dimensional coordinates of a space position, a time axis and a load value, wherein each metabolic trace vector comprises adsorption quantity fluctuation characteristics of a matrix in a specific area in a historical period and overload risk levels corresponding to current deviation;
step S302, taking the identified adsorption failure high-risk area as a key anchor point, extracting medium type, permeability field gradient and temperature field extremum data of a corresponding area in a three-dimensional dynamic thermodynamic-substance diffusion map to form an area metabolism characteristic fingerprint;
Step S303, setting unified saturated adsorption critical values in clusters by combining historical adsorption capacity peaks and medium physical characteristics for each metabolic behavior cluster, fitting an efficacy attenuation program of each behavior cluster based on a time sequence of metabolic track vectors, and introducing 0-1 standardized parameters as real-time correction factors, wherein when the current deviation degree of a certain area is continuously higher than a threshold value, the time constant of an attenuation function is dynamically compressed to indicate that the saturated adsorption period is advanced.
In the embodiment, through the space-time alignment of the historical load data and the deviation space distribution, a metabolic track vector with three-dimensional coordinates (space position, time axis and load value) is constructed, the adsorption dynamic characteristics of the matrix in a specific area are quantified, and the interference of environmental variables (such as temperature gradient and permeation rate) on the historical data is eliminated by combining with the correction of the thermomigration parameters, so that the physical consistency of basic data is improved. And performing global matrix clustering based on fingerprint similarity, so that regions in the same metabolic behavior cluster share the same adsorption-attenuation kinetic parameters (such as reaction series and rate constant), thereby reducing model complexity and maintaining physical reality. A saturated adsorption threshold based on the media characteristics is set for each metabolic behavior cluster and a performance decay function is fitted by time series. And introducing the real-time deviation degree as a correction factor, and dynamically adjusting the time constant of the attenuation function, wherein when the regional deviation degree continuously exceeds a threshold value, a time constant compression mechanism is triggered, so that the prediction model adaptively reflects the saturation acceleration effect caused by pollution overload.
Example 7:
as shown in fig. 5, on the basis of embodiment 1 to embodiment 6, the system for monitoring the operation state of the constructed wetland provided by the embodiment of the invention comprises:
The map generation module 1 is used for acquiring water flow permeation rates, medium temperature gradients and dissolved matter concentration distribution of different depths and areas of the constructed wetland in real time based on the distributed sensing node array to generate a three-dimensional dynamic thermodynamic-material diffusion map;
the deviation degree calculating module 2 is used for extracting the actual flux difference value of the input-output section based on the three-dimensional dynamic thermal-substance diffusion map and calculating the deviation degree of the current actual load and the theoretical purification capacity by combining the historical adsorption capacity of the wetland medium;
And the period prediction module 3 is used for integrating the current early warning report corresponding to the historical load data and the deviation degree, constructing a medium metabolism efficiency attenuation curve, predicting the saturated adsorption period of the matrixes in different areas, and reversely deducing the optimal maintenance node.
In the above embodiment, the three-dimensional space of the present embodiment is dynamically visualized, and by fusing the real-time distribution data of the water flow, the temperature and the dissolved substances, the physicochemical state of the wetland is converted into the resolvable thermal-material diffusion map, so that the space limitation of the traditional single-point monitoring is broken through. And the pollution treatment efficiency quantification is realized by precisely quantifying the deviation degree of the current pollution load and the theoretical purification capacity based on the coupling calculation of the input and output flux difference value and the historical adsorption capacity, and directly reflecting the real-time health state of the operation efficiency of the wetland. Metabolic attenuation predictability, namely, combining historical load data with a current deviation result, constructing a medium activity attenuation model, upgrading maintenance operation from experience driving to data driving periodic regulation and control, and avoiding resource waste caused by efficiency breakdown or excessive maintenance due to insufficient maintenance. The operation state of the wetland is ensured to be measurable, early-warning and optimizing, the pollution treatment efficiency is finally improved, and the service life of the medium is prolonged.
FIG. 6 illustrates a block diagram of an exemplary electronic device suitable for use in implementing embodiments of the invention.
The electronic device may comprise a central processor/microprocessor/main control chip or the like, a storage medium coupled to the central processor/microprocessor/main control chip or the like and having stored therein computer executable instructions for performing the steps of the methods of the embodiments of the present invention when executed by the processor.
The central processor/microprocessor/main control chip or the like may include, but is not limited to, for example, one or more processors or microprocessors or the like.
The storage medium may include, for example, but is not limited to, random Access Memory (RAM), read Only Memory (ROM), flash memory, EPROM memory, EEPROM memory, registers, a computer storage medium (e.g., hard disk, a floppy disk, a solid state disk, a removable disk, a CD-ROM, a DVD-ROM, a blu-ray disc, etc.).
In addition, the electronic device may include, but is not limited to, a data bus, an input/output bus/external bus/device bus, etc., a display, and input/output devices (e.g., keyboard, mouse, speakers, etc.), etc.
The central processor/microprocessor/main control chip, etc. may communicate with external devices via a wired or wireless network (not shown) through an I/O bus.
The storage medium may also store at least one computer executable instruction for performing the functions and/or steps of the methods in the embodiments described in the present technology when executed by a central processor/microprocessor/main control chip or the like.
In one embodiment, the at least one computer-executable instruction may also be compiled or otherwise formed into a software product in which one or more computer-executable instructions, when executed by a processor, perform the functions and/or steps of the methods described in the embodiments of the technology.
Fig. 7 shows a schematic diagram of a computer-readable storage medium according to an embodiment of the invention.
As shown in fig. 7, the non-transitory computer-readable storage medium has instructions stored thereon, such as computer-readable instructions. When executed by a processor, the computer-readable instructions may perform the various methods described with reference to the foregoing. Non-transitory computer-readable storage media include, but are not limited to, for example, volatile memory and/or nonvolatile memory. Volatile memory can include, for example, random Access Memory (RAM) and/or cache memory (cache) and the like. The non-transitory non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, etc. For example, a non-transitory computer-readable storage medium may be connected to a computing device such as a computer, and then, in the case where the computing device runs computer-readable instructions stored on the computer-readable storage medium, the various methods described above may be performed.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for executing all or part of the steps of the methods of the embodiments of the present invention by a computer device (which may be a personal computer, a server, or a network device, etc.). The storage medium includes a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, etc. which can store program codes.
The foregoing embodiments are merely for illustrating the technical solution of the present invention, but not for limiting the same, and although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that modifications may be made to the technical solution described in the foregoing embodiments or equivalents may be substituted for parts of the technical features thereof, and that such modifications or substitutions do not depart from the spirit and scope of the technical solution of the embodiments of the present invention in essence.