Wastewater treatment method, system, storage medium and electronic equipment

Abstract

The present invention provides a wastewater treatment method, system, storage medium and electronic device, the method comprising the following steps: identifying the key nodes of the previous wastewater treatment cycle, the key nodes being distributed within the three regions of the pretreatment area, the membrane filtration area and the post-treatment area in the treatment area; matching the catalytic device data corresponding to the positions of different regions based on the key nodes, and feeding back the catalytic device data to the user end; obtaining the water quality monitoring data of the treatment area; outputting the adjustment data of the current wastewater treatment cycle based on the water quality monitoring data, wherein the adjustment data at least includes dynamic membrane change data. The wastewater treatment method, system, storage medium and electronic device of the present invention achieve efficient treatment of wastewater by matching different catalytic devices and combining the self-cleaning characteristics and dynamic filtration characteristics of dynamic membrane technology, which can effectively reduce membrane pollution, extend the service life of the membrane, and improve wastewater treatment efficiency.

Description

Technical Field

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

[0002] Existing wastewater treatment methods have some limitations, such as low treatment efficiency, severe membrane fouling, and short membrane service life, which lead to high operating costs and maintenance difficulties.

[0003] At present, the untimely response to catalytic reactions in existing technologies also affects the treatment process to a certain extent. There is currently no mechanism for promoting chemical reactions and biological activities in a microscopic range while using dynamic membranes for wastewater treatment. This combination will achieve a breakthrough in wastewater treatment effects and needs to be solved urgently. Summary of the invention

[0004] In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a wastewater treatment method, system, storage medium and electronic device for solving the above-mentioned problems.

[0005] In a first aspect, the present invention provides a method for treating wastewater, the method comprising the following steps:

[0006] Identify the key nodes of the previous wastewater treatment cycle, where the key nodes are distributed in the pretreatment area, membrane filtration area, and post-treatment area of ​​the treatment area;

[0007] Matching the catalytic device data corresponding to different regional locations based on the key nodes, and feeding back the catalytic device data to the user end;

[0008] Acquiring water quality monitoring data of the treatment area, wherein the water quality monitoring data at least includes flow rate data, pressure data, temperature data and pollutant concentration data;

[0009] Adjustment data of the current wastewater treatment cycle is output based on the water quality monitoring data, wherein the adjustment data at least includes dynamic membrane change data.

[0010] In a possible implementation of the present application, the identifying of the key nodes of the previous wastewater treatment cycle specifically includes:

[0011] Obtain the treatment history report corresponding to the previous wastewater treatment cycle;

[0012] identifying node location parameters based on the processing history report;

[0013] The key node corresponding to the previous wastewater treatment cycle is obtained based on the node position parameter, wherein the key node is dynamically updated based on different wastewater treatment cycles.

[0014] In a possible implementation of the present application, the catalytic device data corresponding to different regional locations is matched based on the key nodes, specifically including:

[0015] Obtaining a first catalytic device based on the key node in combination with the pre-treatment zone matching catalytic table;

[0016] Based on the key node combined with the membrane filtration area, the catalytic table is matched to obtain a second catalytic device;

[0017] Based on the key node and the post-processing area, the catalytic table is matched to obtain a third catalytic device;

[0018] The catalytic device data is obtained based on the first catalytic device, the second catalytic device and the third catalytic device in combination with position information of corresponding key nodes.

[0019] In a possible implementation of the present application, feeding back the catalytic device data to the user terminal specifically includes:

[0020] Extracting a target catalytic device corresponding to a key node distribution based on the catalytic device data;

[0021] Based on the distribution of the key nodes as an index, a data list corresponding to the catalytic device is formed with the corresponding target catalytic device as a target value;

[0022] The data list is visually displayed to provide feedback to the user end.

[0023] In a possible implementation of the present application, the obtaining of water quality monitoring data of the treatment area specifically includes:

[0024] The water quality monitoring data is obtained based on a monitoring sensor group arranged in the processing area, wherein the monitoring sensor group includes at least a flow rate sensor, a pressure sensor, a temperature sensor and a pollutant concentration sensor, wherein:

[0025] Acquiring flow velocity data at a corresponding position of the pretreatment area based on the flow velocity sensor; and

[0026] Acquiring pressure data at a corresponding position of the membrane filtration area based on the pressure sensor; and

[0027] Acquiring temperature data of a corresponding position of the membrane filtration area based on the temperature sensor; and

[0028] The pollutant concentration data of the corresponding position of the post-processing area is acquired based on the pollutant concentration sensor.

[0029] In a possible implementation of the present application, the outputting of dynamic membrane change data of the current wastewater treatment cycle based on the water quality monitoring data specifically includes:

[0030] Obtaining a water flow adjustment measure based on a comparison between the flow rate data and a preset standard flow rate, wherein the water flow adjustment measure includes adding a flocculant to the pretreatment zone;

[0031] Obtaining a pressure adjustment measure based on a comparison of the pressure data with a preset standard pressure, wherein the pressure adjustment measure includes changing a particle material of a dynamic membrane in the membrane filtration area;

[0032] Acquire temperature adjustment measures based on comparison of the temperature data with a preset standard temperature, wherein the temperature adjustment measures include changing a temperature range in the membrane filtration area;

[0033] Based on the comparison between the pollutant concentration data and the preset standard concentration, the membrane structure modification measures are obtained, wherein the membrane structure modification measures include modifying the composite structure of the dynamic membrane and / or coating a characteristic coating on the surface of the dynamic membrane.

[0034] In a possible implementation of the present application, the method further includes outputting updated positions of key nodes of the current wastewater treatment cycle based on the adjustment data, specifically including:

[0035] Extracting the positions of the key nodes in the pre-processing area and the post-processing area to perform area replacement so as to update the positions of the key nodes within the two areas;

[0036] The positions of the key nodes of the membrane filtration area are extracted and modified in a regional dispersion manner to obtain the updated positions of the key nodes within the membrane filtration area after the adjustment data is adjusted.

[0037] In a second aspect, the present invention provides a wastewater treatment system, the system comprising:

[0038] An identification module is used to identify key nodes of the previous wastewater treatment cycle, wherein the key nodes are distributed in the pretreatment area, the membrane filtration area and the post-treatment area in the treatment area;

[0039] A matching module, used for matching the catalytic device data corresponding to different regional positions based on the key nodes, and feeding back the catalytic device data to the user end;

[0040] An acquisition module, used to acquire water quality monitoring data of a treatment area, wherein the water quality monitoring data at least includes flow rate data, pressure data, temperature data and pollutant concentration data;

[0041] An output module is used to output adjustment data of the current wastewater treatment cycle based on the water quality monitoring data, wherein the adjustment data at least includes dynamic membrane change data.

[0042] In a third aspect, the present invention provides an electronic device, the electronic device comprising: a processor and a memory;

[0043] The memory is used to store computer programs;

[0044] The processor is used to execute the computer program stored in the memory so that the electronic device performs the above-mentioned wastewater treatment method.

[0045] 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 treatment method when executed by an electronic device.

[0046] As described above, the wastewater treatment method, system, storage medium and electronic device described in the present invention have the following beneficial effects: by matching different catalytic devices and combining the self-cleaning characteristics and dynamic filtration characteristics of dynamic membrane technology, efficient treatment of wastewater is achieved, which can effectively reduce membrane pollution, extend the service life of the membrane, and improve wastewater treatment efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 Shown is a schematic diagram of a scene of an electronic device in an embodiment of the present invention;

[0048] Figure 2 Shown is a flow chart of a wastewater treatment method according to an embodiment of the present invention;

[0049] Figure 3 Shown is a schematic diagram of the distribution structure of a wastewater treatment method of the present invention in one embodiment;

[0050] Figure 4 Shown is a schematic diagram of the distribution structure of a wastewater treatment method of the present invention in one embodiment;

[0051] Figure 5 It is a schematic diagram showing the distribution structure of the wastewater treatment method of the present invention in one embodiment;

[0052] Figure 6 Shown is a schematic structural diagram of a wastewater treatment system according to an embodiment of the present invention;

[0053] Figure 7 It is a schematic structural diagram of an electronic device of the present invention in one embodiment. DETAILED DESCRIPTION

[0054] 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.

[0055] 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.

[0056] The following embodiments of the present invention provide a wastewater treatment 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, 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.

[0057] For example, the electronic device may be a station (STATION, 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), etc.

[0058] 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.

[0059] Specifically, see Figure 2 In one embodiment of the invention, the wastewater treatment method of the present invention comprises the following steps:

[0060] Step S202, identifying the key nodes of the previous wastewater treatment cycle, wherein the key nodes are distributed in the pretreatment area, the membrane filtration area, and the post-treatment area in the treatment area;

[0061] Step S204, matching the catalytic device data corresponding to different regional locations based on the key nodes, and feeding back the catalytic device data to the user terminal;

[0062] Step S206, obtaining water quality monitoring data of the treatment area, wherein the water quality monitoring data at least includes flow rate data, pressure data, temperature data and pollutant concentration data;

[0063] Step S208: outputting adjustment data of the current wastewater treatment cycle based on the water quality monitoring data, wherein the adjustment data at least includes dynamic membrane change data.

[0064] It should be noted that, in this embodiment, when treating wastewater, a catalytic device and a dynamic membrane are used for treatment. Since the application of the dynamic membrane may cause blockage and the like, periodic treatment is required to ensure efficient filtration of the dynamic membrane. Specifically, it is first necessary to identify the key nodes of the previous wastewater treatment cycle in the current treatment area, so as to use the key nodes to match the catalytic device of the current wastewater treatment cycle and to configure the wastewater and the dynamic membrane more reasonably and efficiently. The treatment area includes a pretreatment area, a membrane filtration area and a post-treatment area, respectively. Accordingly, the key nodes are distributed within the above three areas, such as Figure 3 As shown, the division of the treatment area and the distribution of key nodes corresponding to the previous wastewater treatment cycle are displayed.

[0065] Furthermore, after matching the catalytic device corresponding to each area, it is necessary to combine the key nodes at the corresponding position with the catalytic device and feed back to the user end, so as to facilitate the user to adjust the catalytic device. The communication between the catalytic devices used in this embodiment is specifically based on the construction of nanoscale quantum energy bodies. The quantum energy body used in this embodiment refers to an entity that uses quantum technology (such as quantum computing, quantum communication, and quantum sensing) to enhance or grant certain capabilities. In actual application, this entity may be a computing system, communication network, or sensing equipment. The purpose is to achieve rapid response to chemical catalytic reactions and biological catalytic activities corresponding to different catalytic devices. Of course, the response of the catalytic device can also be carried out through other communications.

[0066] Furthermore, during each wastewater treatment cycle, it is necessary to monitor the water quality data to obtain the water quality monitoring data, so that the water quality monitoring data of the previous wastewater treatment cycle can be used to adjust the water or dynamic membrane of the current wastewater treatment cycle. Accordingly, the monitored water quality monitoring data at least includes flow rate data (corresponding to the water flow rate), pressure data (corresponding to the trans-membrane pressure difference), temperature data (corresponding to the water temperature data) and pollutant concentration data (corresponding to the concentration of pollutants). The obtained adjustment data specifically includes adjustment data for water and dynamic membrane, and the specific adjustment steps will be described in the subsequent instructions.

[0067] Furthermore, in one embodiment of the invention, the identifying key nodes of the previous wastewater treatment cycle specifically includes:

[0068] Obtain the treatment history report corresponding to the previous wastewater treatment cycle;

[0069] identifying node location parameters based on the processing history report;

[0070] The key node corresponding to the previous wastewater treatment cycle is obtained based on the node position parameter, wherein the key node is dynamically updated based on different wastewater treatment cycles.

[0071] It should be noted that, in this embodiment, when wastewater treatment is performed in each wastewater treatment cycle, the treatment process will be recorded to issue a corresponding treatment history report. Therefore, in this embodiment, the treatment history report corresponding to the previous wastewater treatment cycle is first obtained, and then the node position parameters are identified based on the treatment history report. There are position differences in the key nodes identified corresponding to different wastewater treatment cycles. Therefore, it is necessary to obtain the key nodes corresponding to the previous wastewater treatment cycle based on the node position parameters. Since there are position differences in the key nodes corresponding to different wastewater treatment cycles, the key nodes are dynamically updated based on different wastewater treatment cycles.

[0072] Furthermore, in one embodiment of the invention, the catalytic device data corresponding to different regional positions are matched based on the key nodes, specifically including:

[0073] Obtaining a first catalytic device based on the key node in combination with the pre-treatment zone matching catalytic table;

[0074] Based on the key node combined with the membrane filtration area, the catalytic table is matched to obtain a second catalytic device;

[0075] Based on the key node and the post-processing area, the catalytic table is matched to obtain a third catalytic device;

[0076] The catalytic device data is obtained based on the first catalytic device, the second catalytic device and the third catalytic device in combination with position information of corresponding key nodes.

[0077] It should be noted that, in this embodiment, the water quality in different areas is different, and accordingly, the catalytic effect of the catalytic device is also different, wherein the processing areas include a pretreatment area, a membrane filtration area and a post-treatment area, respectively, and accordingly, the key nodes in different areas correspond to different catalytic devices. Specifically, the combination of corresponding key nodes is matched based on quantum communication to adapt the catalytic device, wherein the first catalytic device is obtained by matching the catalytic table with the distribution of the key nodes in the pretreatment area; the second catalytic device is obtained by matching the catalytic table with the distribution of the key nodes in the membrane filtration area; and the third catalytic device is obtained by matching the catalytic table with the distribution of the key nodes in the post-treatment area. Therefore, the obtained catalytic device data is specifically composed of the first catalytic device, the second catalytic device and the third catalytic device combined with the position information of the corresponding key nodes, such as Figure 3 As shown, since the catalytic device needs reaction time to perform the catalytic reaction, it is necessary to determine the catalytic device of the current wastewater treatment cycle based on the distribution of the key nodes of the previous wastewater treatment cycle, so as to help the current wastewater treatment cycle to treat the wastewater, wherein, preferably, the location of the catalytic device corresponding to each area is provided with a first catalytic device, a second catalytic device and a third catalytic device, however, when applied, different catalytic devices can be matched to respond according to the distribution of different key nodes, so as to catalyze the wastewater treatment, and the type of specific catalytic device can be adapted according to the specific content of the wastewater, such as a photocatalytic device to promote the degradation of organic matter in the wastewater, or a strong oxidation catalytic device to accelerate the decomposition and removal of organic matter, or a nanocatalytic device to degrade organic pollutants in the wastewater.

[0078] Furthermore, in one embodiment of the invention, the step of feeding back the catalytic device data to the user terminal specifically includes:

[0079] Extracting a target catalytic device corresponding to a key node distribution based on the catalytic device data;

[0080] Based on the distribution of the key nodes as an index, a data list corresponding to the catalytic device is formed with the corresponding target catalytic device as a target value;

[0081] The data list is visually displayed to provide feedback to the user end.

[0082] It should be noted that, in this embodiment, after obtaining the catalytic device data, it is necessary to visualize it to the user end so that the user can understand the catalytic devices being operated in different areas and facilitate the subsequent replenishment of catalysts. Specifically, the target catalytic device corresponding to the key node distribution is extracted based on the catalytic device data; based on the distribution of the key nodes as an index, a data list corresponding to the catalytic device is formed with the corresponding target catalytic device as the target value, thereby visualizing the data list to the user end.

[0083] Furthermore, in one embodiment of the invention, the obtaining of water quality monitoring data of the treatment area specifically includes:

[0084] The water quality monitoring data is obtained based on a monitoring sensor group arranged in the processing area, wherein the monitoring sensor group includes at least a flow rate sensor, a pressure sensor, a temperature sensor and a pollutant concentration sensor, wherein:

[0085] Acquiring flow velocity data at a corresponding position of the pretreatment area based on the flow velocity sensor; and

[0086] Acquiring pressure data at a corresponding position of the membrane filtration area based on the pressure sensor; and

[0087] Acquiring temperature data of a corresponding position of the membrane filtration area based on the temperature sensor; and

[0088] The pollutant concentration data of the corresponding position of the post-processing area is acquired based on the pollutant concentration sensor.

[0089] It should be noted that, in this embodiment, a monitoring sensor group is arranged in the processing area, wherein the monitoring sensor group includes at least a flow rate sensor, a pressure sensor, a temperature sensor and a pollutant concentration sensor, wherein different sensors are specifically arranged at corresponding key node positions, and each area has more than one key node arranged with corresponding sensors, specifically, Figure 4As shown, the flow rate sensor is arranged in the pretreatment area, the pressure sensor and the temperature sensor are arranged in the membrane filtration area, and the pollutant concentration sensor is arranged in the post-treatment area. Therefore, the flow rate data of the corresponding position of the pretreatment area is obtained based on the flow rate sensor; and the pressure data of the corresponding position of the membrane filtration area is obtained based on the pressure sensor; and the temperature data of the corresponding position of the membrane filtration area is obtained based on the temperature sensor; and the pollutant concentration data of the corresponding position of the post-treatment area is obtained based on the pollutant concentration sensor. Further, the water quality monitoring data is obtained based on the flow rate data, the pressure data, the temperature data and the pollutant concentration data.

[0090] Further, in one embodiment of the invention, the output of dynamic membrane change data of the current wastewater treatment cycle based on the water quality monitoring data specifically includes:

[0091] Obtaining a water flow adjustment measure based on a comparison between the flow rate data and a preset standard flow rate, wherein the water flow adjustment measure includes adding a flocculant to the pretreatment zone;

[0092] Obtaining a pressure adjustment measure based on a comparison of the pressure data with a preset standard pressure, wherein the pressure adjustment measure includes changing a particle material of a dynamic membrane in the membrane filtration area;

[0093] Acquire temperature adjustment measures based on comparison of the temperature data with a preset standard temperature, wherein the temperature adjustment measures include changing a temperature range in the membrane filtration area;

[0094] Based on the comparison between the pollutant concentration data and the preset standard concentration, the membrane structure modification measures are obtained, wherein the membrane structure modification measures include modifying the composite structure of the dynamic membrane and / or coating a characteristic coating on the surface of the dynamic membrane.

[0095] It should be noted that in this embodiment, the recommended parameters for adjusting the water temperature and the dynamic membrane need to be explained to help users make targeted adjustments, wherein the standard flow rate applied is a range value, specifically including "0.5m / s - 2 m / s", the standard pressure is a range value, specifically including "0.5 MPa - 2 MPa", the standard temperature is a range value, specifically "15℃-50℃", and the output dynamic membrane change data is also recommended data to help users with practical applications.

[0096] Specifically, changing the fluid flow rate of water can affect the formation speed and thickness of the dynamic membrane. A higher flow rate usually forms a thinner dynamic membrane, which increases the flux but may reduce the separation effect; a lower flow rate may form a thicker membrane, which improves the separation effect but reduces the flux. Therefore, water flow adjustment measures are obtained based on the comparison between the flow rate data and the preset standard flow rate. Taking the water flow rate greater than "2 m / s" in the flow rate data as an example, flocculants can be added to the pretreatment area to reduce the water flow rate, promote the deposition of large particles, and form a dynamic membrane with a larger pore size, which is conducive to high-flux filtration. Accordingly, in actual operation, it can be recommended that users can add flocculants moderately.

[0097] Furthermore, the transmembrane pressure difference directly affects the filtration performance of the dynamic membrane. A higher pressure difference usually increases the flux, but may lead to a compaction effect of the membrane, making the pores smaller and affecting the filtration efficiency. It is necessary to select an appropriate pressure difference to avoid excessive compaction of the membrane while ensuring efficient filtration. Specifically, a pressure adjustment measure is obtained based on the comparison between the pressure data and a preset standard pressure, wherein the pressure adjustment measure includes changing the particle material of the dynamic membrane in the membrane filtration area, and adjusting the filtration characteristics by changing the particle material (such as activated carbon, silica, alumina, etc.) used by the dynamic membrane. The size of the particles, The shape and surface charge will affect the pore size distribution and surface characteristics of the dynamic membrane, thereby changing the filtration effect. Accordingly, when selecting the particle material, the transmembrane pressure difference in the pressure data will be different for different materials. Among them, in terms of the shape and size of the particle material, alumina is larger than silica, and silica is larger than activated carbon. Therefore, taking the transmembrane pressure difference greater than "2MPa" as an example, larger and irregularly shaped particles are more likely to accumulate on the membrane surface and increase resistance to adapt to the higher transmembrane pressure difference to push the fluid through the membrane. At this time, users can be recommended to use alumina as the particle material for the dynamic membrane.

[0098] Furthermore, the suitable temperature range of the dynamic membrane is "15℃-50℃". When applied, appropriately increasing the operating temperature can reduce fluid viscosity and increase flux. Therefore, in actual operation, the temperature adjustment measures are obtained based on the comparison between the temperature data and the preset standard temperature. The temperature adjustment measures include changing the temperature range in the membrane filtration area. Specifically, taking the temperature data of "10℃" as an example, the corresponding temperature adjustment measure is to recommend the user to change the temperature of the membrane filtration area to "30℃" so as to extend the service life of the membrane while ensuring the filtration efficiency.

[0099] Furthermore, the concentration of pollutants is a key factor in the structure of the dynamic membrane, which directly affects the performance and operating efficiency of the dynamic membrane. For low-concentration pollutants, a relatively open membrane structure can be selected during application, which helps to maintain a higher flux while reducing the impedance to pollutants. For high-concentration pollutants, it is necessary to change to a more closed or smaller pore membrane structure to effectively prevent large particles or high-concentration pollutants from entering the membrane and reduce the clogging and damage of the membrane by pollutants. In actual application, the membrane structure change measures are obtained based on the comparison of the pollutant concentration data with the preset standard concentration. The membrane structure change measures include changing the composite structure of the dynamic membrane and / or coating a characteristic coating on the surface of the dynamic membrane. For example, when the pollutant concentration in the wastewater exceeds "1000 mg / L", it is a high concentration. When the pollutant concentration detected in the post-treatment area is greater than "1000 mg / L", it is recommended to change the dynamic membrane to a composite structure. By constructing a multi-layer structure and combining thin layers of different materials together, it is possible to achieve simultaneous filtration of multiple pollutants. For example, the outer layer can use hydrophilic materials to adsorb organic matter in the water, and the inner layer uses nanoparticles to capture tiny particles. Among them, for specific organic matter, heavy metals or biological pollutants, a high concentration exceeding "200 mg / L" is considered a high concentration. The specific concentration needs to be set according to the actual application scenario. Coating a characteristic coating on the surface of the dynamic membrane indicates that the coating has specific functions (such as antibacterial and anti-pollution coatings) can improve the selectivity and anti-pollution ability of the membrane, thereby extending the service life of the membrane.

[0100] Furthermore, in one embodiment of the invention, the method further includes outputting updated positions of key nodes of the current wastewater treatment cycle based on the adjustment data, specifically including:

[0101] Extracting the positions of the key nodes in the pre-processing area and the post-processing area to perform area replacement so as to update the positions of the key nodes within the two areas;

[0102] The positions of the key nodes of the membrane filtration area are extracted and modified in a regional dispersion manner to obtain the updated positions of the key nodes within the membrane filtration area after the adjustment data is adjusted.

[0103] It should be noted that, in this embodiment, specifically, Figure 5As shown, it is shown as a schematic diagram of the position update of key nodes, wherein the above embodiment describes that each processing area is provided with key nodes, and the distribution of the key nodes in each area has a certain regularity. After the adjustment data is output, the updated position of the key nodes needs to be output synchronously, wherein the positions of the key nodes of the pretreatment area and the post-treatment area are extracted for regional replacement to update the positions of the key nodes within the two areas, that is, for the pretreatment area, after the flocculant addition adjustment, it is necessary to perform water flow detection at the rear of the pretreatment area (near the membrane filtration area) to make the flow rate of water entering the membrane filtration area more accurate, and for the post-treatment area, after the pretreatment area and the membrane filtration area are processed, it is necessary to perform water quality monitoring in the front (near the membrane filtration area), therefore, it is necessary to perform regional replacement of the positions of the key nodes of the pretreatment area and the post-treatment area.

[0104] Furthermore, the positions of the key nodes of the membrane filtration area are extracted and regionally dispersed changes are made to obtain the updated positions of the key nodes within the membrane filtration area after the adjustment data is adjusted. Since temperature changes are involved, decentralized sensor monitoring is more suitable for application in the adjusted membrane filtration area.

[0105] The embodiment of the present application also provides a wastewater treatment system, which can implement the wastewater treatment method described in the present application. However, the implementation device of the wastewater treatment method described in the present application includes but is not limited to the structure of the wastewater 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.

[0106] See also Figure 6 In one embodiment, this embodiment provides a wastewater treatment system 60, the system comprising:

[0107] An identification module 61 is used to identify key nodes of the previous wastewater treatment cycle, wherein the key nodes are distributed in the pretreatment area, the membrane filtration area and the post-treatment area in the treatment area;

[0108] A matching module 62, configured to match the catalytic device data corresponding to different regional locations based on the key nodes, and feed back the catalytic device data to the user terminal;

[0109] An acquisition module 63, used to acquire water quality monitoring data of the treatment area, wherein the water quality monitoring data at least includes flow rate data, pressure data, temperature data and pollutant concentration data;

[0110] The output module 64 is used to output adjustment data of the current wastewater treatment cycle based on the water quality monitoring data, wherein the adjustment data at least includes dynamic membrane change data.

[0111] 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.

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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 the 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 (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a digital video disc (DVD)), or a semiconductor medium (for example, a solid-state disk (SSD)), etc.

[0116] An embodiment of the present invention further provides an electronic device, which includes a processor and a memory.

[0117] The memory is used to store computer programs.

[0118] The memory includes: ROM, RAM, disk, USB flash drive, memory card or CD and other media that can store program codes.

[0119] 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 treatment method.

[0120] 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.

[0121] like Figure 7As 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).

[0122] 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. For example, these architectures include but are not limited to Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus and Peripheral Component Interconnect (PCI) bus.

[0123] 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.

[0124] 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 7 Not 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, DVD-ROM, or other optical medium) 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.

[0125] 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 thereof may include an implementation of a network environment. The program modules 7241 generally perform the functions and / or methods of the embodiments described herein.

[0126] 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.

[0127] 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 wastewater treatment method, characterized in that: include: Identify the key nodes of the previous wastewater treatment cycle, where the key nodes are distributed in the pretreatment area, membrane filtration area, and post-treatment area of ​​the treatment area; Matching the catalytic device data corresponding to different regional locations based on the key nodes, and feeding back the catalytic device data to the user end; Acquiring water quality monitoring data of the treatment area, wherein the water quality monitoring data at least includes flow rate data, pressure data, temperature data and pollutant concentration data; Adjustment data of the current wastewater treatment cycle is output based on the water quality monitoring data, wherein the adjustment data at least includes dynamic membrane change data, wherein pressure adjustment measures are obtained based on comparing the pressure data with a preset standard pressure, wherein the pressure adjustment measures include changing the particulate material of the dynamic membrane in the membrane filtration area; membrane structure change measures are obtained based on comparing the pollutant concentration data with a preset standard concentration, wherein the membrane structure change measures include changing the composite structure of the dynamic membrane and / or coating a characteristic coating on the surface of the dynamic membrane.

2. The wastewater treatment method according to claim 1, characterized in that: The identification of the key nodes of the previous wastewater treatment cycle specifically includes: Obtain the treatment history report corresponding to the previous wastewater treatment cycle; identifying node location parameters based on the processing history report; The key node corresponding to the previous wastewater treatment cycle is obtained based on the node position parameter, wherein the key node is dynamically updated based on different wastewater treatment cycles.

3. The wastewater treatment method according to claim 2, characterized in that: The step of matching the catalytic device data corresponding to different regional locations based on the key nodes specifically includes: Obtaining a first catalytic device based on the key node in combination with the pre-treatment zone matching catalytic table; Based on the key node combined with the membrane filtration area, the catalytic table is matched to obtain a second catalytic device; Based on the key node and the post-processing area, the catalytic table is matched to obtain a third catalytic device; The catalytic device data is obtained based on the first catalytic device, the second catalytic device and the third catalytic device in combination with position information of corresponding key nodes.

4. The wastewater treatment method according to claim 3, characterized in that: Feeding back the catalytic device data to the user terminal specifically includes: Extracting a target catalytic device corresponding to a key node distribution based on the catalytic device data; Based on the distribution of the key nodes as an index, a data list corresponding to the catalytic device is formed with the corresponding target catalytic device as a target value; The data list is visually displayed to provide feedback to the user end.

5. The wastewater treatment method according to claim 4, characterized in that: The obtaining of water quality monitoring data of the treatment area specifically includes: The water quality monitoring data is obtained based on a monitoring sensor group arranged in the processing area, wherein the monitoring sensor group includes at least a flow rate sensor, a pressure sensor, a temperature sensor and a pollutant concentration sensor, wherein: Acquiring flow velocity data at a corresponding position of the pretreatment area based on the flow velocity sensor; and Acquiring pressure data at a corresponding position of the membrane filtration area based on the pressure sensor; and Acquiring temperature data of a corresponding position of the membrane filtration area based on the temperature sensor; and The pollutant concentration data of the corresponding position of the post-processing area is acquired based on the pollutant concentration sensor.

6. The wastewater treatment method according to claim 5, characterized in that: Outputting dynamic membrane change data of the current wastewater treatment cycle based on the water quality monitoring data specifically includes: Obtaining a water flow adjustment measure based on a comparison between the flow rate data and a preset standard flow rate, wherein the water flow adjustment measure includes adding a flocculant to the pretreatment zone; A temperature adjustment measure is obtained based on the comparison between the temperature data and a preset standard temperature, wherein the temperature adjustment measure includes changing the temperature range in the membrane filtration area.

7. The wastewater treatment method according to claim 6, characterized in that: The method further includes outputting updated positions of key nodes of the current wastewater treatment cycle based on the adjustment data, specifically including: Extracting the positions of the key nodes in the pre-processing area and the post-processing area to perform area replacement so as to update the positions of the key nodes within the two areas; The positions of the key nodes of the membrane filtration area are extracted and modified in a regional dispersion manner to obtain the updated positions of the key nodes within the membrane filtration area after the adjustment data is adjusted.

8. A wastewater treatment system, characterized in that: include: An identification module is used to identify key nodes of the previous wastewater treatment cycle, wherein the key nodes are distributed in the pretreatment area, the membrane filtration area and the post-treatment area in the treatment area; A matching module, used for matching the catalytic device data corresponding to different regional positions based on the key nodes, and feeding back the catalytic device data to the user end; An acquisition module, used to acquire water quality monitoring data of a treatment area, wherein the water quality monitoring data at least includes flow rate data, pressure data, temperature data and pollutant concentration data; An output module is used to output adjustment data of the current wastewater treatment cycle based on the water quality monitoring data, wherein the adjustment data at least includes dynamic membrane change data, wherein pressure adjustment measures are obtained based on the comparison between the pressure data and a preset standard pressure, wherein the pressure adjustment measures include changing the particle material of the dynamic membrane in the membrane filtration area; and membrane structure change measures are obtained based on the comparison between the pollutant concentration data and a preset standard concentration, wherein the membrane structure change measures include changing the composite structure of the dynamic membrane and / or coating a characteristic coating on the surface of the dynamic membrane.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the wastewater treatment method described in any one of claims 1 to 7 is implemented.

10. 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 executes the wastewater treatment method as described in any one of claims 1 to 7.

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