Wastewater desalination treatment method, system, storage medium and electronic equipment

Abstract

The present invention provides a wastewater desalination treatment method, system, storage medium and electronic device, the method comprising the following steps: obtaining first data and second data, wherein the first data includes wastewater monitoring data, and the second data includes pH value sensor data; performing image processing based on the first data to identify prediction data under different tide conditions, the prediction data includes ion concentration distribution prediction data; performing type matching based on the prediction data to obtain target recommendation data, the target recommendation data includes plant planting data and resource recovery layout data; performing pH value judgment based on the second data, thereby controlling the preset electrodialysis equipment operation to separate target ions based on the judgment result. The wastewater desalination treatment method, system, storage medium and electronic device of the present invention can achieve efficient removal of calcium, magnesium ions and other pollutants in wastewater treatment, and the treatment process can not only effectively improve water treatment efficiency, but also significantly reduce energy consumption.

Description

Technical Field

[0001] The present invention belongs to the technical field of wastewater treatment, and in particular relates to a wastewater desalination treatment method, system, storage medium and electronic equipment. Background Art

[0002] Wastewater treatment facilities exist all over the world. For small-scale purification pools or wastewater treatment pools, the existing technology is mature and can treat wastewater by graded purification using different purification devices. However, for large-scale rivers, lakes and seas, there is no good treatment mechanism for filtering and purifying wastewater in different locations. Among them, the purification of wastewater in large-scale rivers, lakes and seas is not only affected by tidal operations, but also controlled by the limitations of the range.

[0003] At present, there are still the following problems in the process of wastewater purification in large-scale rivers, lakes and seas:

[0004] (1) The operating cost is high, the investment is difficult, and the wastewater purification treatment has the problem of low purification efficiency due to the fixed purification location;

[0005] (2) There are purification limitations, and it is impossible to combine biological purification mechanisms to treat water quality. Summary of the invention

[0006] In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a wastewater desalination treatment method, system, storage medium and electronic device for solving the above-mentioned problems.

[0007] In a first aspect, the present invention provides a method for treating wastewater desalination, the method comprising the following steps:

[0008] Acquire first data and second data, wherein the first data includes wastewater monitoring data, and the second data includes pH value sensor data;

[0009] performing image processing based on the first data to identify prediction data under different tidal conditions, wherein the prediction data includes ion concentration distribution prediction data;

[0010] Performing type matching based on the predicted data to obtain target recommendation data, wherein the target recommendation data includes plant planting data and resource recycling layout data;

[0011] A pH value judgment is performed based on the second data, and then a preset electrodialysis device operation is controlled based on the judgment result to separate target ions, wherein the target ions include calcium and magnesium ions.

[0012] In a possible implementation of the present application, the obtaining of the first data and the second data specifically includes:

[0013] Acquiring a wastewater monitoring image in a target area based on a preset image acquisition device to obtain the first data, wherein the target area is a dynamically updated area;

[0014] The water quality sensor data in the target area is acquired based on a preset sensor device to perform pH value extraction to obtain the second data.

[0015] In a possible implementation of the present application, performing image processing based on the first data to identify prediction data under different tidal conditions specifically includes:

[0016] Inputting the first data into a preset image recognition algorithm to obtain a recognition result, wherein the recognition result includes time-tide level data, nitrogen and chloride ion concentration data, and resource recovery data;

[0017] The ion concentration distribution under different tidal conditions is predicted based on the time-tidal data and the nitrogen and chloride ion concentration data, thereby obtaining the predicted data.

[0018] In a possible implementation of the present application, the method further includes performing type marking based on the resource recovery data, specifically including:

[0019] Extracting the plastic type, metal type and organic matter type based on the recognition result;

[0020] Marking a corresponding identified object in the image as plastic based on the type of plastic;

[0021] Marking a corresponding identified object in the image as metal based on the metal type;

[0022] Based on the organic matter type, the corresponding identified object in the image is marked as an organic matter.

[0023] In a possible implementation of the present application, performing type matching based on the predicted data to obtain target recommended data specifically includes:

[0024] Identifying the wastewater flow rate at different locations in the target area based on the time-tide data to obtain the flow rate data;

[0025] The plant planting data is obtained by matching a plant planting reference table based on the nitrogen and chloride ion concentration data in combination with the flow rate data;

[0026] The resource recovery arrangement data is obtained by performing an aggregation sorting operation based on the marking results of the resource recovery data and matching the resource recovery reference table.

[0027] In a possible implementation of the present application, performing pH value judgment based on the second data to obtain the judgment result specifically includes:

[0028] Based on the comparison between the pH value in the second data and the preset pH distribution range,

[0029] If the pH value is within the first pH distribution range, the judgment result is the first result, wherein the first pH distribution range is pH greater than 8.5;

[0030] If the pH value is within the second distribution range, the judgment result is the second result, wherein the second pH distribution range is pH greater than 7 and pH less than or equal to 8.5;

[0031] If the PH value is within the third distribution range, the judgment result is the third result, wherein the third PH distribution range is PH less than or equal to 7.

[0032] In a possible implementation of the present application, the controlling of the preset electrodialysis equipment operation to separate the target ions based on the judgment result specifically includes:

[0033] When the judgment result is the first result, controlling the electrodialysis device to release ion exchange resin to remove calcium and magnesium ions in water;

[0034] When the judgment result is the second result, controlling the electrodialysis device to release carbonate ions and / or sulfate ions to remove calcium ions, or controlling the electrodialysis device to release hydroxide ions to remove magnesium ions;

[0035] When the judgment result is the third result, the electrodialysis device is controlled not to perform any processing.

[0036] In a second aspect, the present invention provides a wastewater desalination treatment system, the system comprising:

[0037] An acquisition module, used to acquire first data and second data, wherein the first data includes wastewater monitoring data, and the second data includes pH value sensor data;

[0038] an identification module, configured to perform image processing based on the first data to identify prediction data under different tidal conditions, wherein the prediction data includes sewage concentration distribution prediction data;

[0039] A matching module, used to obtain target recommendation data based on the predicted data combined with the flow rate data, wherein the target recommendation data includes plant planting data and resource recovery data;

[0040] A separation module is used to make a pH value judgment based on the second data, thereby controlling the preset electrodialysis equipment operation to separate target ions based on the judgment result, wherein the target ions include calcium and magnesium ions.

[0041] In a third aspect, the present invention provides an electronic device, the electronic device comprising: a processor and a memory;

[0042] The memory is used to store computer programs;

[0043] The processor is used to execute the computer program stored in the memory so that the electronic device performs the above-mentioned wastewater desalination treatment method.

[0044] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements the above-mentioned wastewater desalination treatment method when executed by an electronic device.

[0045] As described above, the wastewater desalination treatment method, system, storage medium and electronic device described in the present invention have the following beneficial effects: it can achieve efficient removal of calcium, magnesium ions and other pollutants in wastewater treatment, and the treatment process can not only effectively improve the water treatment efficiency, but also significantly reduce energy consumption. In particular, different green plants can be recommended by combining different nitrogen and chloride ion concentrations and water flow rate data, and ion separation can be performed at different water quality pH values. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 Shown is a schematic diagram of a scene of an electronic device of the present invention in an embodiment;

[0047] Figure 2 Shown is a schematic diagram of the method steps of the wastewater desalination method of the present invention in one embodiment;

[0048] Figure 3 A schematic diagram showing first data and second data in an embodiment of the wastewater desalination method of the present invention;

[0049] Figure 4 Shown is a schematic diagram of the method steps of the wastewater desalination method of the present invention in one embodiment;

[0050] Figure 5 Shown is a schematic diagram of the method steps of the wastewater desalination method of the present invention in one embodiment;

[0051] Figure 6 Shown is a schematic structural diagram of a wastewater desalination treatment system according to an embodiment of the present invention;

[0052] Figure 7 It is a schematic structural diagram of an electronic device of the present invention in one embodiment. DETAILED DESCRIPTION

[0053] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0054] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and thus the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0055] The following embodiments of the present invention provide a wastewater desalination method, which can be applied to Figure 1 The electronic device shown. The electronic device described in the present invention may include a mobile phone 11 with a wireless charging function, a tablet computer 12, a laptop computer 13, a wearable device, a vehicle-mounted device, an augmented reality (AR) / virtual reality (VR) device, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), etc. The embodiment of the present invention does not impose any restrictions on the specific type of the electronic device.

[0056] For example, the electronic device may be a station (STAION, ST) in a WLAN with a wireless charging function, a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA) device, a handheld device with a wireless charging function, a computing device or other processing device, a computer, a laptop computer, a handheld communication device, a handheld computing device, and / or other devices for communicating on a wireless system and a next generation communication system, such as a mobile terminal in a 5G network, a mobile terminal in a future evolved Public Land Mobile Network (PLMN), or a mobile terminal in a future evolved Non-terrestrial Network (NTN).

[0057] The technical solutions in the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0058] Specifically, see Figure 2 In one embodiment of the invention, the wastewater desalination method of the present invention comprises the following steps:

[0059] Step S202, acquiring first data and second data, wherein the first data includes wastewater monitoring data, and the second data includes pH value sensor data;

[0060] Step S204, performing image processing based on the first data to identify prediction data under different tidal conditions, wherein the prediction data includes ion concentration distribution prediction data;

[0061] Step S206, performing type matching based on the predicted data to obtain target recommendation data, wherein the target recommendation data includes plant planting data and resource recycling layout data;

[0062] Step S208, performing pH value judgment based on the second data, thereby controlling the preset electrodialysis equipment operation to separate target ions based on the judgment result, wherein the target ions include calcium and magnesium ions.

[0063] It should be noted that, in this embodiment, when desalinating the wastewater in the target area, it is necessary to use the image acquisition device (high-definition camera) and the sensor device (PH value sensor group) set in the target area. Specifically, the first data and the second data are obtained accordingly, wherein the first data is the wastewater monitoring data captured by the image acquisition device, and the second data is the PH value sensor data monitored by the sensor device, so that different data are processed separately, wherein image processing is performed based on the first data to identify the predicted data under different tidal conditions, and accordingly, the wastewater monitoring data is processed by mapping. After image processing, the corresponding processing results can be obtained, wherein the processing results include time-tide data, nitrogen and chloride ion concentration data and resource recovery data. The predicted data can be predicted in combination with the corresponding time-tide data, that is, the ion concentration distribution prediction data, specifically the nitrogen and chloride ion concentrations, and then type matching can be performed based on the predicted data to obtain target recommendation data, wherein the target recommendation data includes plant planting data and resource recovery layout data, wherein users can be recommended to plant relevant chlorine-absorbing plants in places with lower flow rates, and the resource recovery layout data is determined according to the specific type of resource recovery data.

[0064] Furthermore, in this embodiment, the second data is specifically pH value sensor data, so the pH value can be judged based on the second data. Different pH values ​​correspond to different separation mechanisms, so different judgment results correspond to different control methods. Specifically, the preset electrodialysis equipment operation is controlled based on the judgment result to separate target ions, wherein the target ions include calcium and magnesium ions, and the corresponding pH distribution range includes three ranges, namely, pH is less than or equal to "7", pH is greater than "7" and pH is less than or equal to "8.5", and pH is greater than "8.5", wherein the specific pH value control will be described in detail in the subsequent description.

[0065] Further, in an embodiment of the invention, the obtaining of the first data and the second data specifically includes:

[0066] Acquiring a wastewater monitoring image in a target area based on a preset image acquisition device to obtain the first data, wherein the target area is a dynamically updated area;

[0067] The water quality sensor data in the target area is acquired based on a preset sensor device to perform pH value extraction to obtain the second data.

[0068] It should be noted that, in this embodiment, Figure 3As shown, it is a schematic diagram for obtaining the first data and the second data, and specifically explains the types of the first data and the second data, wherein the first data is wastewater monitoring image data, and the second data is pH value sensor data. Specifically, the first data is a wastewater monitoring image in a target area obtained by a preset image acquisition device. Correspondingly, the target area is a dynamic update area. When dynamically updating, it can be dynamically updated based on parameters set by the user, and the second data is pH value sensor data obtained by extracting the pH value after obtaining the water quality sensor data in the target area based on the preset sensor device.

[0069] Further, in one embodiment of the invention, the performing image processing based on the first data to identify the prediction data under different tidal conditions specifically includes:

[0070] Inputting the first data into a preset image recognition algorithm to obtain a recognition result, wherein the recognition result includes time-tide level data, nitrogen and chloride ion concentration data, and resource recovery data;

[0071] The ion concentration distribution under different tidal conditions is predicted based on the time-tidal data and the nitrogen and chloride ion concentration data, thereby obtaining the predicted data.

[0072] It should be noted that, in this embodiment, the image recognition algorithm applied in this embodiment is specifically an image recognition algorithm based on deep learning, such as the TensorFlow algorithm, wherein the TensorFlow algorithm is specifically a symbolic mathematical system based on data flow programming, which is widely used in the programming implementation of various machine learning algorithms. For those skilled in the art of image processing, it is an optional conventional technical means. In this embodiment, it is used as an application, and the algorithm itself is not improved, so it is not repeated again. Specifically, the first data is input into a preset image recognition algorithm to obtain a recognition result, wherein the recognition result processed by the image recognition algorithm (TensorFlow algorithm) includes time-tide data, nitrogen and chloride ion concentration data, and resource recovery data, so that the ion concentration distribution (specifically nitrogen and chloride ion concentration) under different tidal conditions corresponding to a future time period can be predicted based on the time-tide data and the nitrogen and chloride ion concentration data to obtain the predicted data.

[0073] Further, in one embodiment of the invention, if Figure 4 As shown, the method further includes performing type marking based on the resource recovery data, specifically comprising the following steps:

[0074] Step S402, extracting the plastic type, metal type and organic type based on the recognition result;

[0075] Step S404, marking the corresponding identification object in the image as plastic based on the plastic type;

[0076] Step S406, marking the corresponding identification object in the image as metal based on the metal type;

[0077] Step S408: marking the corresponding identification object in the image as an organic object based on the organic object type.

[0078] It should be noted that, in this embodiment, the recognition result obtained after the TensorFlow algorithm recognizes the image detection data also includes resource recycling data. Therefore, this embodiment describes type marking based on the resource recycling data, wherein the resource types of the resource recycling data include plastic type, metal type and organic type, and then the corresponding recognition object in the image can be marked as plastic based on the plastic type, and the corresponding recognition object in the image can be marked as metal based on the metal type, and the corresponding recognition object in the image can be marked as organic based on the organic type. After obtaining different markers, subsequent classification processing can be performed to better classify wastewater for resource recovery.

[0079] Further, in one embodiment of the invention, if Figure 5 As shown, the method of performing type matching based on the predicted data to obtain target recommended data specifically includes the following steps:

[0080] Step S502, identifying the wastewater flow rate at different locations in the target area based on the time-tide data to obtain the flow rate data;

[0081] Step S504, obtaining the plant planting data by matching a plant planting reference table based on the nitrogen and chloride ion concentration data in combination with the flow rate data;

[0082] Step S506: performing aggregation sorting operation based on the marking results of the resource recovery data and matching the resource recovery reference table to obtain the resource recovery arrangement data.

[0083] It should be noted that, in this embodiment, there are differences in the wastewater flow rates corresponding to different time-tide data at different locations in the target area. Therefore, the wastewater flow rates at different locations in the target area can be identified based on the time-tide data to obtain the flow rate data, so that corresponding to different flow rate data, the plant planting data can be obtained based on the nitrogen and chloride ion concentration data combined with the flow rate data to match the plant planting reference table, where, as shown in Table 1, it is displayed as a plant planting reference table.

[0084] Table 1. Plant planting reference table

[0085] Nitrogen and chloride ion concentration (mg / L) Flow rate data (m / s) Plant cultivation Nitrogen: 200-500 Chlorine: 50-250 ＞1.8 Reeds / Cattails Nitrogen: 50-500 Chlorine: 50-250 ≤1.8 Water hyacinth / Duckweed Nitrogen: 50-200 Chlorine: 50-250 ＞1.8 Boxwood

[0086] Among them, reed and cattail both performed well in nitrogen absorption, but the specific effect may be related to factors such as nitrogen concentration in the water body and plant growth conditions. In general, reed may show better nitrogen absorption effect in a larger range due to its more developed root system, while reed's ability to absorb chlorine will be better in water bodies with lower concentrations, but when the chloride ion concentration is too high, the absorption efficiency may gradually decrease. For scenes with low nitrogen concentrations, boxwood can be used for plant planting.

[0087] Furthermore, in the target area, there are different types of resources to be recycled. Therefore, an aggregation sorting operation can be performed based on the marking results of the resource recovery data to screen out the sorting combination of various types of resources in the current target area, that is, sorting from large to small according to the number values ​​of the same type after aggregation, so as to match the resource recovery reference table to obtain the resource recovery layout data, so as to determine what kind of recovery mechanism should be set in the current target area, where, as shown in Table 2, it is displayed as a resource recovery reference table.

[0088] Table 2. Resource recycling reference table

[0089] Resource ranking combination (①: plastic, ②: metal, ③: organic matter) Recycling Mechanism ①、② / ③ Recycling plastics ②、① / ③ Recycling Metals ③、① / ② Recycling organic matter

[0090] Further, in one embodiment of the invention, the pH value is judged based on the second data to obtain the judgment result, which specifically includes:

[0091] Based on the comparison between the pH value in the second data and the preset pH distribution range,

[0092] If the pH value is within the first pH distribution range, the judgment result is the first result, wherein the first pH distribution range is pH greater than 8.5;

[0093] If the pH value is within the second distribution range, the judgment result is the second result, wherein the second pH distribution range is pH greater than 7 and pH less than or equal to 8.5;

[0094] If the PH value is within the third distribution range, the judgment result is the third result, wherein the third PH distribution range is PH less than or equal to 7.

[0095] It should be noted that, in this embodiment, the second data corresponds to pH value sensor data, so that a comparison and judgment is made based on the pH value in the second data and the preset pH distribution range, wherein, if the pH value is within the first pH distribution range, the judgment result is the first result, wherein the first pH distribution range is pH greater than "8.5"; if the pH value is within the second distribution range, the judgment result is the second result, wherein the second pH distribution range is pH greater than "7" and pH less than or equal to "8.5"; if the pH value is within the third distribution range, the judgment result is the third result, wherein the third pH distribution range is pH less than or equal to "7", wherein the water quality sensor pH value in the target area determines that the ions released by the electrodialysis equipment are different, thereby being able to separate the calcium and magnesium ions in the water, and the specific separation mechanism will be described later.

[0096] Further, in one embodiment of the invention, the control of the preset electrodialysis equipment operation to separate the target ions based on the judgment result specifically includes:

[0097] When the judgment result is the first result, controlling the electrodialysis device to release ion exchange resin to remove calcium and magnesium ions in water;

[0098] When the judgment result is the second result, controlling the electrodialysis device to release carbonate ions and / or sulfate ions to remove calcium ions, or controlling the electrodialysis device to release hydroxide ions to remove magnesium ions;

[0099] When the judgment result is the third result, the electrodialysis device is controlled not to perform any processing.

[0100] It should be noted that, in this embodiment, when the target ions (calcium and magnesium ions) in the wastewater are separated, the preset electrodialysis equipment is controlled to operate according to the judgment result to separate the target ions, wherein the electrodialysis equipment is installed in the corresponding target area, and specifically, when the judgment result is the first result, the electrodialysis equipment is controlled to release the ion exchange resin to remove the calcium and magnesium ions in the water, that is, the pH value is greater than "8.5", and the electrodialysis equipment is controlled to release the ion exchange resin to exchange the calcium and magnesium ions in the water with the sodium ions on the resin, thereby removing the calcium and magnesium ions in the water; further When the judgment result is the second result, the electrodialysis device is controlled to release carbonate ions and / or sulfate ions to remove calcium ions, or the electrodialysis device is controlled to release hydroxide ions to remove magnesium ions, that is, when the pH is greater than "7" and the pH is less than or equal to "8.5", the electrodialysis device is controlled to release carbonate or sulfate ions to react with calcium ions to form precipitates, or hydroxide ions are added to react with magnesium ions to form precipitates, thereby achieving a separation effect; when the judgment result is the third result, the electrodialysis device is controlled not to perform any treatment, that is, when the pH is less than or equal to "7", no treatment is performed.

[0101] It is worth mentioning that in this embodiment, the target area is a dynamically updated area, which will be updated and set by the user end according to the results of each desalination treatment, so as to obtain the feedback data of the user end to obtain the updated area parameters, so that the image acquisition device, sensor device and electrodialysis equipment set in the updated area can be responded to, so as to carry out wastewater desalination treatment in the updated area.

[0102] The embodiment of the present application also provides a wastewater desalination treatment system, which can implement the wastewater desalination treatment method described in the present application. However, the implementation device of the wastewater desalination treatment method described in the present application includes but is not limited to the structure of the wastewater desalination treatment system listed in the present embodiment. All structural deformations and replacements of the prior art made according to the principles of the present application are included in the protection scope of the present application.

[0103] See also Figure 6 In one embodiment, this embodiment provides a wastewater desalination treatment system 60, the system comprising:

[0104] An acquisition module 61, configured to acquire first data and second data, wherein the first data includes wastewater monitoring data, and the second data includes pH value sensor data;

[0105] an identification module 62, configured to perform image processing based on the first data to identify prediction data under different tidal conditions, wherein the prediction data includes sewage concentration distribution prediction data;

[0106] A matching module 63, configured to obtain target recommendation data based on the prediction data combined with the flow rate data, wherein the target recommendation data includes plant planting data and resource recovery data;

[0107] The separation module 64 is used to make a pH value judgment based on the second data, thereby controlling the preset electrodialysis equipment operation to separate target ions based on the judgment result, wherein the target ions include calcium and magnesium ions.

[0108] Since the specific implementation of this embodiment corresponds to the aforementioned method embodiment, the same details will not be repeated here, and those skilled in the art should also understand that Figure 6 The division of the modules in the embodiment is merely a division of logical functions, and in actual implementation, all or part of them can be integrated into one or more physical entities, and these modules can be implemented entirely in the form of software called by processing elements, or entirely in the form of hardware, or some modules can be implemented in the form of software called by processing elements, and some modules can be implemented in the form of hardware.

[0109] In the several embodiments provided by the present invention, it should be understood that the disclosed system, device or method can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules / units is only a logical function division, and there may be other division methods in actual implementation, such as multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules or units, which can be electrical, mechanical or other forms.

[0110] The modules / units described as separate components may or may not be physically separated, and the components displayed as modules / units may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules / units may be selected according to actual needs to achieve the purpose of the embodiments of the present invention. For example, the functional modules / units in the various embodiments of the present invention may be integrated into one processing module, or each module / unit may exist physically separately, or two or more modules / units may be integrated into one module / unit.

[0111] Those of ordinary skill in the art should further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0112] The embodiment of the present invention also provides a computer-readable storage medium. A person of ordinary skill in the art can understand that all or part of the steps in the method for implementing the above embodiment can be completed by instructing a processor through a program, and the program can be stored in a computer-readable storage medium, and the storage medium is a non-transitory medium, such as a random access memory, a read-only memory, a flash memory, a hard disk, a solid-state hard disk, a magnetic tape, a floppy disk, an optical disc, and any combination thereof. The above storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that includes one or more available media. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a digital video disc (DVD)), or a semiconductor medium (e.g., a solid-state disk (SSD)), etc.

[0113] An embodiment of the present invention further provides an electronic device, which includes a processor and a memory.

[0114] The memory is used to store computer programs.

[0115] The memory includes: ROM, RAM, disk, USB flash drive, memory card or CD and other media that can store program codes.

[0116] The processor is connected to the memory and is used to execute the computer program stored in the memory so that the electronic device executes the above-mentioned wastewater desalination treatment method.

[0117] Preferably, the processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0118] like Figure 7 As shown, the electronic device of the present invention is in the form of a general computing device. The components of the electronic device may include but are not limited to: one or more processors or processing units 71, a memory 72, and a bus 73 connecting different system components (including the memory 72 and the processing unit 71).

[0119] Bus 73 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor or a local bus using any of a variety of bus architectures. By way of example, these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.

[0120] Electronic devices typically include a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device, including volatile and non-volatile media, removable and non-removable media.

[0121] The memory 72 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 721 and / or cache memory 722. The electronic device may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 723 may be used to read and write non-removable, non-volatile magnetic media ( Figure 7 not shown, usually called a "hard drive"). Although Figure 7Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, a DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 73 via one or more data medium interfaces. The memory 72 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present invention.

[0122] A program / utility 724 having a set (at least one) of program modules 7241 may be stored, for example, in the memory 72, such program modules 7241 including but not limited to an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. The program modules 7241 generally perform the functions and / or methods of the embodiments described herein.

[0123] The electronic device may also communicate with one or more external devices (e.g., keyboards, pointing devices, displays, etc.), one or more devices that enable a user to interact with the electronic device, and / or any device that enables the electronic device to communicate with one or more other computing devices (e.g., network cards, modems, etc.). Such communication may be performed via input / output (I / O) interface 74. Furthermore, the electronic device may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via network adapter 75. Figure 7 As shown, the network adapter 75 communicates with other modules of the electronic device via the bus 73. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the electronic device, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0124] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concept disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A method for desalination of wastewater, characterized in that: include: Acquire first data and second data, wherein the first data includes wastewater monitoring data, and the second data includes pH value sensing data; performing image processing based on the first data to identify prediction data under different tidal conditions, wherein the prediction data includes ion concentration distribution prediction data; Based on the predicted data, type matching is performed to obtain target recommendation data, wherein the target recommendation data includes plant planting data and resource recovery layout data. The type matching based on the predicted data to obtain target recommendation data specifically includes: identifying the wastewater flow rate at different locations in the target area based on the time-tide data to obtain the flow rate data; matching a plant planting reference table based on the nitrogen and chlorine concentration data combined with the flow rate data to obtain the plant planting data; performing an aggregation sorting operation based on the marking result of the resource recovery data and matching the resource recovery reference table to obtain the resource recovery layout data; A pH value judgment is performed based on the second data, so as to control the preset electrodialysis equipment operation to separate the target ions based on the judgment result, wherein the target ions include calcium and magnesium ions, wherein the pH value judgment is performed based on the second data to obtain the judgment result, specifically including comparing and judging based on the pH value in the second data with a preset pH distribution range, wherein if the pH value is within a first pH distribution range, the judgment result is a first result, wherein the first pH distribution range is pH greater than 8.5; if the pH value is within a second distribution range, the judgment result is a second result, wherein the second pH distribution range is pH greater than 7 and pH less than or equal to 8.5; if the pH value is within a second distribution range, the judgment result is a second result, wherein the second pH distribution range is pH greater than 7 and pH less than or equal to 8.5; If the H value is within the third distribution range, the judgment result is the third result, wherein the third pH distribution range is pH less than or equal to 7; and the control of the preset electrodialysis equipment operation based on the judgment result to separate the target ions specifically includes: when the judgment result is the first result, controlling the electrodialysis equipment to release ions, and using the sodium ions in the ion exchange resin to remove the calcium and magnesium ions in the water; when the judgment result is the second result, controlling the electrodialysis equipment to release carbonate ions and / or sulfate ions to remove calcium ions, or controlling the electrodialysis equipment to release hydroxide ions to remove magnesium ions; when the judgment result is the third result, controlling the electrodialysis equipment not to perform any processing.

2. The wastewater desalination method according to claim 1, characterized in that: The obtaining of the first data and the second data specifically includes: Acquiring a wastewater monitoring image in a target area based on a preset image acquisition device to obtain the first data, wherein the target area is a dynamically updated area; The water quality sensing data in the target area is acquired based on a preset sensing device to perform pH value extraction to obtain the second data.

3. The wastewater desalination method according to claim 2, characterized in that: The performing image processing based on the first data to identify prediction data under different tidal conditions specifically includes: Inputting the first data into a preset image recognition algorithm to obtain a recognition result, wherein the recognition result includes time-tide level data, nitrogen and chlorine concentration data, and resource recovery data; The ion concentration distribution under different tidal conditions is predicted based on the time-tidal data and the nitrogen and chlorine concentration data, thereby obtaining the predicted data.

4. The wastewater desalination method according to claim 3, characterized in that: The method further includes performing type marking based on the resource recovery data, specifically including: Extracting the plastic type, metal type and organic matter type based on the recognition result; Marking a corresponding identified object in the image as plastic based on the type of plastic; Marking a corresponding identified object in the image as metal based on the metal type; Based on the organic matter type, the corresponding identified object in the image is marked as an organic matter.

5. A wastewater desalination treatment system, characterized in that: include: An acquisition module, used to acquire first data and second data, wherein the first data includes wastewater monitoring data, and the second data includes pH value sensing data; an identification module, configured to perform image processing based on the first data to identify prediction data under different tidal conditions, wherein the prediction data includes sewage concentration distribution prediction data; A matching module, for obtaining target recommendation data based on the predicted data combined with the flow rate data, wherein the target recommendation data includes plant planting data and resource recovery data, and the type matching based on the predicted data to obtain the target recommendation data specifically includes: identifying the wastewater flow rate at different locations in the target area based on the time-tide data to obtain the flow rate data; matching a plant planting reference table based on the nitrogen and chlorine concentration data combined with the flow rate data to obtain the plant planting data; performing an aggregation sorting operation based on the marking result of the resource recovery data and matching the resource recovery reference table to obtain the resource recovery layout data; A separation module, configured to perform a pH value judgment based on the second data, thereby controlling the preset electrodialysis equipment operation to perform target ion separation based on the judgment result, wherein the target ions include calcium and magnesium ions, wherein the pH value judgment based on the second data obtains the judgment result, specifically comprising comparing and judging based on the pH value in the second data with a preset pH distribution range, wherein if the pH value is within a first pH distribution range, the judgment result is a first result, wherein the first pH distribution range is pH greater than 8.5; if the pH value is within a second distribution range, the judgment result is a second result, wherein the second pH distribution range is pH greater than 7 and pH less than or equal to 8.5; If the pH value is within the third distribution range, the judgment result is the third result, wherein the third pH distribution range is pH less than or equal to 7; and the control of the preset electrodialysis equipment operation based on the judgment result to perform target ion separation specifically includes: when the judgment result is the first result, controlling the electrodialysis equipment to release ions, and using the sodium ions in the ion exchange resin to remove calcium and magnesium ions in the water; when the judgment result is the second result, controlling the electrodialysis equipment to release carbonate ions and / or sulfate ions to remove calcium ions, or controlling the electrodialysis equipment to release hydroxide ions to remove magnesium ions; when the judgment result is the third result, controlling the electrodialysis equipment not to perform any processing.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the wastewater desalination treatment method described in any one of claims 1 to 4 is implemented.

7. An electronic device, characterized in that: The electronic device comprises: a processor and a memory; wherein the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory, so that the electronic device performs the wastewater desalination treatment method as claimed in any one of claims 1 to 4.

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