Integrated water purification treatment system with AI artificial intelligence

Abstract

The invention relates to the technical field of water treatment, in particular to an AI (artificial intelligence) integrated water purification treatment system which comprises a water inlet module, a raw water tank, a pretreatment module, a water purification tank, a water purification module, a water outlet module, a first data acquisition module, a second data acquisition module, an AI intelligent analysis module, a redundancy treatment unit, a treatment strategy generation module and an execution module, the raw water tank is connected with the water inlet module, the preprocessing module is connected with the raw water tank, the clean water tank is connected with the preprocessing module, the clean water module is connected with the clean water tank, the water outlet module is connected with the clean water module, and the first data acquisition module and the second data acquisition module are connected with the raw water tank and the clean water tank respectively. In this way, the technical problems that in the prior art, when a treatment mode is actually used, due to the fact that treatment parameters are high in presetting performance, water quality fluctuation of a water source is difficult to respond in real time, and the treatment effect is extremely prone to being affected due to adjustment lag when sudden pollution occurs are solved.

Description

Technical Field

[0001] The present invention relates to the field of water treatment technology, and in particular to an integrated water purification system with AI artificial intelligence. Background Art

[0002] Currently, the primary sources of drinking water for humans are groundwater and natural water bodies such as rivers, streams, and reservoirs. These bodies of water form the foundation of our daily tap water supply. However, the water quality of these natural water sources is quite complex. They contain not only common impurities such as suspended solids and organic matter, but also heavy metal ions, pathogenic microorganisms, and other components that pose potential threats to human health. The types and concentrations of these impurities often vary depending on the source, posing diverse challenges to water purification processes.

[0003] Existing water purification systems mainly adopt the "fixed parameters + manual inspection" operation and maintenance model. In actual use, due to the strong preset nature of treatment parameters, it is difficult to respond to fluctuations in water quality in real time. In the event of sudden pollution, the treatment effect is easily affected by adjustment lags. Summary of the Invention

[0004] The purpose of the present invention is to provide an integrated water purification system with AI artificial intelligence, aiming to solve the technical problems that the treatment methods in the existing technology are difficult to respond to fluctuations in water quality in real time due to the strong preset treatment parameters in actual use. In the event of sudden pollution, the treatment effect is easily affected by adjustment lag.

[0005] To achieve the above-mentioned objectives, the present invention adopts an integrated water purification system with AI artificial intelligence, comprising a water inlet module, a raw water tank, a pretreatment module, a clean water tank, a water purification module, a water outlet module, a first data acquisition module, a second data acquisition module, an AI intelligent analysis module, a redundant processing unit, a processing strategy generation module and an execution module, wherein the raw water tank is connected to the water inlet module, the pretreatment module is connected to the raw water tank, the clean water tank is connected to the pretreatment module, the water purification module is connected to the water purification tank, the water outlet module is connected to the water purification module, the first data acquisition module and the second data acquisition module are connected to the raw water tank and the clean water tank respectively, the AI ​​intelligent analysis module is connected to the first data acquisition module and the second data acquisition module, the processing strategy generation module is connected to the AI ​​intelligent analysis module, the execution module is connected to the processing strategy generation module, the execution modules are also connected to the pretreatment module and the water purification module, and the redundant processing unit is connected to the AI ​​intelligent analysis module;

[0006] The water inlet module is used to transport raw water into the raw water tank;

[0007] The first data acquisition module is used to collect water quality data of the raw water in the raw water tank and transmit it to the AI ​​intelligent analysis module for intelligent analysis to determine the water quality status, and generate a corresponding processing strategy through the processing strategy generation module and transmit it to the execution module;

[0008] The execution module controls the pre-processing module to perform preliminary processing on the raw water and deliver the raw water to the clean water tank;

[0009] The second data acquisition module is used to collect the pre-processed water quality data in the water purification tank and transmit it to the AI ​​intelligent analysis module for intelligent analysis to determine the water quality status, and generate a corresponding processing strategy through the processing strategy generation module and transmit it to the execution module;

[0010] The execution module controls the water purification module to perform deep purification on the water in the water purification tank and then discharge the water;

[0011] The redundant processing unit is used to perform intelligent analysis when the AI ​​intelligent analysis module fails.

[0012] Among them, the redundant processing unit includes a heartbeat monitoring module, a redundant processing module and an automatic switching module. The heartbeat monitoring module is connected to the AI ​​intelligent analysis module, and the automatic switching modules are connected to the heartbeat monitoring module and the redundant processing module, and the automatic switching module is also connected to the AI ​​intelligent analysis module. The redundant processing modules are connected to the first data acquisition module and the second data acquisition module.

[0013] Among them, the automatic switching module includes a task pause submodule, a state saving submodule and a state migration submodule. The task pause submodule is connected to the AI ​​intelligent analysis module, the pause saving submodule is connected to the task pause submodule, and the state migration submodule is connected to the state saving submodule and the redundant processing module.

[0014] The integrated water purification system with AI artificial intelligence further includes a rule base and an update module, wherein the rule base is connected to the processing strategy generation module, and the update module is connected to the rule base;

[0015] The rule base provides policy rules for the processing generation module.

[0016] Among them, the integrated water purification system with AI artificial intelligence also includes a maintenance module, a login module and a verification module. The maintenance module is connected to the rule base, the login module is used to log in to the maintenance module, and the verification module is connected to the login module.

[0017] The integrated water purification system with AI artificial intelligence further includes a rights management module, which is connected to the login module;

[0018] The authority management module adopts a role-based access control algorithm to ensure the security of user access and the manageability of the system.

[0019] Among them, the integrated water purification system with AI artificial intelligence also includes a monitoring module, and the monitoring module is connected to the pretreatment module.

[0020] The present invention provides an integrated water purification system with AI artificial intelligence. During specific use, the water inlet module first delivers raw water to the raw water tank; the first data acquisition module collects water quality data of the raw water in the raw water tank, and transmits it to the AI ​​intelligent analysis module for intelligent analysis, determines the water quality status, and generates a corresponding processing strategy through the processing strategy generation module and transmits it to the execution module; the execution module controls the pretreatment module to perform preliminary treatment on the raw water and delivers it to the clean water tank; the second data acquisition module is used to collect water quality data that has been pretreated in the clean water tank, and transmits it to the AI ​​intelligent analysis module for intelligent analysis, determines the water quality status, and generates a corresponding processing strategy through the processing strategy generation module and transmits it to the execution module; the execution module controls the water purification module to perform deep purification treatment on the water in the clean water tank and then discharge it; in this way, the technical problem that the processing method in the prior art is difficult to respond to fluctuations in water quality of the water source in real time during actual use due to the strong preset nature of the processing parameters, and in the event of sudden pollution, the treatment effect is easily affected by adjustment lag.

[0021] The present invention uses the first and second data acquisition modules to collect real-time water quality data from the raw water tank and the purified water tank, respectively, and transmits the data to the AI ​​intelligent analysis module. The AI ​​intelligent analysis module uses advanced machine learning algorithms to intelligently analyze the water quality data and quickly determine the water quality status. The treatment strategy generation module generates a corresponding treatment strategy in real time based on the results of the AI ​​intelligent analysis module. The execution module controls the pretreatment module and the water purification module to make adjustments to ensure that the water quality treatment effect is always maintained at the optimal state.

[0022] The redundant processing unit serves as a backup for the AI ​​intelligent analysis module. When the AI ​​intelligent analysis module fails, it can immediately take over the analysis work to ensure the continuity and stability of the system operation.

[0023] Data is transmitted between modules through efficient communication protocols to ensure the accuracy and timeliness of information.

[0024] The pretreatment module uses a dynamic adjustment algorithm based on water quality data to adjust treatment parameters in real time according to raw water quality, improving treatment efficiency. The water purification module employs a deep learning algorithm to further purify pretreated water, ensuring high-quality effluent. The automated and intelligent operation and maintenance model reduces the frequency and intensity of manual inspections, lowering operation and maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0026] Figure 1 It is a principle block diagram of the first embodiment of the present invention.

[0027] Figure 2 It is a principle block diagram of the second embodiment of the present invention.

[0028] Figure 3 It is a principle block diagram of the third embodiment of the present invention.

[0029] 101-water inlet module, 102-raw water tank, 103-pretreatment module, 104-purified water tank, 105-water purification module, 106-water outlet module, 107-first data acquisition module, 108-second data acquisition module, 109-AI intelligent analysis module, 110-redundant processing unit, 111-processing strategy generation module, 112-execution module, 113-rule base, 114-update module, 115-heartbeat monitoring module, 116-redundant processing module, 117-automatic switching module, 118-task pause submodule, 119-state saving submodule, 120-state migration submodule, 201-maintenance module, 202-login module, 203-verification module, 204-authority management module, 205-monitoring module, 301-water purification effect evaluation module, 302-push module, 303-prediction module. DETAILED DESCRIPTION

[0030] The embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, but should not be understood as limiting the present invention.

[0031] The first embodiment of this application is:

[0032] See also Figure 1 , Figure 1It is a principle block diagram of the first embodiment of the present invention.

[0033] The present invention provides an integrated water purification system with AI artificial intelligence, including a water inlet module 101, a raw water tank 102, a pretreatment module 103, a water purification tank 104, a water purification module 105, a water outlet module 106, a first data acquisition module 107, a second data acquisition module 108, an AI intelligent analysis module 109, a redundant processing unit 110, a processing strategy generation module 111, an execution module 112, a rule base 113 and an update module 114. The redundant processing unit 110 includes a heartbeat monitoring module 115, a redundant processing module 116 and an automatic switching module 117. The automatic switching module 117 includes a task suspension submodule 118, a state saving submodule 119 and a state migration submodule 120. The above-mentioned solution solves the technical problem that the processing method in the prior art is difficult to respond to water quality fluctuations in real time due to the strong preset nature of the processing parameters in actual use. In the event of sudden pollution, the treatment effect is easily affected by the adjustment lag.

[0034] According to this specific embodiment, the water inlet module 101 is used to transport raw water into the raw water tank 102;

[0035] The first data acquisition module 107 is used to collect water quality data of the raw water in the raw water tank 102 and transmit it to the AI ​​intelligent analysis module 109 for intelligent analysis to determine the water quality status, and generate a corresponding processing strategy through the processing strategy generation module 111 and transmit it to the execution module 112;

[0036] The execution module 112 controls the pre-processing module 103 to perform preliminary processing on the raw water and deliver the raw water to the clean water tank 104;

[0037] The second data acquisition module 108 is used to collect the pre-processed water quality data in the water purification tank 104 and transmit it to the AI ​​intelligent analysis module 109 for intelligent analysis to determine the water quality status, and generate a corresponding processing strategy through the processing strategy generation module 111 and transmit it to the execution module 112;

[0038] The execution module 112 controls the water purification module 105 to perform deep purification on the water in the water purification tank 104 and then discharge the water;

[0039] The redundant processing unit 110 is used to perform intelligent analysis when the AI ​​intelligent analysis module 109 fails.

[0040] The raw water tank 102 is connected to the water inlet module 101, the pretreatment module 103 is connected to the raw water tank 102, the clean water tank 104 is connected to the pretreatment module 103, the clean water module 105 is connected to the clean water tank 104, the water outlet module 106 is connected to the clean water module 105, the first data acquisition module 107 and the second data acquisition module 108 are connected to the raw water tank 102 and the clean water tank 104 respectively, and the AI ​​intelligent analysis module 109 is connected to the first data acquisition module 107. The module 107 is connected to the second data acquisition module 108, the processing strategy generation module 111 is connected to the AI ​​intelligent analysis module 109, the execution module 112 is connected to the processing strategy generation module 111, the execution module 112 is also connected to the pre-processing module 103 and the water purification module 105, the redundant processing unit 110 is connected to the AI ​​intelligent analysis module 109, and in specific use, first the water inlet module 101 delivers raw water to the raw water tank 102; the first data acquisition module 111 is connected to the processing strategy generation module 111, and the execution module 112 is also connected to the pre-processing module 103 and the water purification module 105. The redundant processing unit 110 is connected to the AI ​​intelligent analysis module 109. Block 107 collects the water quality data of the raw water in the raw water tank 102 and transmits it to the AI ​​intelligent analysis module 109 for intelligent analysis to determine the water quality status, and generates a corresponding processing strategy through the processing strategy generation module 111 and transmits it to the execution module 112; the execution module 112 controls the pre-processing module 103 to perform preliminary processing on the raw water and transmits it to the clean water tank 104; the second data acquisition module 108 is used to collect the water quality data of the pre-processed water in the clean water tank 104, and transmit it to the AI ​​intelligent analysis module 109 for intelligent analysis to determine the water quality status, and generates a corresponding processing strategy through the processing strategy generation module 111 and transmits it to the execution module 112; the execution module 112 controls the water purification module 105 to perform deep purification on the water in the clean water tank 104 and then discharge it; in this way, the technical problem that the processing method in the prior art is difficult to respond to fluctuations in water quality of the water source in real time due to the strong preset nature of the processing parameters when actually used, and in the event of sudden pollution, it is very easy to affect the treatment effect due to adjustment lag.

[0041] Secondly, the heartbeat monitoring module 115 is connected to the AI ​​intelligent analysis module 109, the automatic switching module 117 is connected to the heartbeat monitoring module 115 and the redundancy processing module 116, and the automatic switching module 117 is also connected to the AI ​​intelligent analysis module 109, and the redundancy processing module 116 is connected to the first data acquisition module 107 and the second data acquisition module 108;

[0042] The task suspension submodule 118 is connected to the AI ​​intelligent analysis module 109, the suspension preservation submodule is connected to the task suspension submodule 118, and the state migration submodule 120 is connected to the state preservation submodule 119 and the redundancy processing module 116;

[0043] The heartbeat monitoring module 115 is closely connected to the AI ​​intelligent analysis module 109 to monitor its operating status in real time. By regularly sending heartbeat signals, the heartbeat monitoring module 115 can ensure the normal operation of the AI ​​intelligent analysis module 109 and immediately trigger the automatic switching mechanism once an abnormality is detected.

[0044] The redundant processing module 116 serves as the system's backup processing unit, connected to the first data acquisition module 107 and the second data acquisition module 108, enabling it to acquire raw data and perform processing and analysis at any time. If the AI ​​intelligent analysis module 109 fails, the redundant processing module 116 can quickly take over its work, ensuring continuous system operation and accurate data processing.

[0045] The automatic switching module 117 is the key to achieving this switching process. It includes the task suspension submodule 118, the state preservation submodule 119, and the state migration submodule 120. The task suspension submodule 118 is connected to the AI ​​intelligent analysis module 109 and is responsible for pausing its current task during the switching process. The state preservation submodule 119 saves the AI ​​intelligent analysis module 109's state information before the switching, ensuring data integrity and security. The state migration submodule 120 migrates the saved state information to the redundant processing module 116 and activates its processing tasks, achieving seamless switching.

[0046] At the same time, the rule base 113 is connected to the processing strategy generation module 111, and the update module 114 is connected to the rule base 113;

[0047] Since the rule base 113 provides policy rules to the processing generation module, the updating module 114 is used to regularly update the rules in the rule base 113 .

[0048] When using the integrated water purification system with AI artificial intelligence of this embodiment, first, the water inlet module 101 delivers the raw water to the raw water tank 102; the first data acquisition module 107 collects the water quality data of the raw water in the raw water tank 102, and transmits it to the AI ​​intelligent analysis module 109 for intelligent analysis to judge the water quality status, and generates a corresponding processing strategy through the processing strategy generation module 111 and transmits it to the execution module 112; the execution module 112 controls the pre-processing module 103 to perform preliminary processing on the raw water and deliver it to the purified water tank 104; the second ... to transmit it to the execution module 112; the execution module 112 controls the pre-processing module 103 to perform preliminary processing on the raw water and deliver it to the purified water tank 104; the second data acquisition module 107 collects the water quality data of the raw water in the raw water tank 102, and transmits it to the AI ​​intelligent analysis module 109 for intelligent analysis to judge the water quality status, and generates the corresponding processing strategy through the processing strategy generation module 111 to transmit it to the execution module 112; the execution module 112 controls the pre-processing module 103 to perform preliminary processing on the raw water and Block 108 is used to collect the water quality data that has been pre-processed in the water purification tank 104, and transmit it to the AI ​​intelligent analysis module 109 for intelligent analysis, to judge the water quality status, and to generate a corresponding processing strategy through the processing strategy generation module 111 and transmit it to the execution module 112; the execution module 112 controls the water purification module 105 to perform deep purification on the water in the water purification tank 104 and then discharge it; in this way, the technical problem that the processing method in the prior art is difficult to respond to water quality fluctuations in real time in actual use due to the strong preset nature of the processing parameters, and in the event of sudden pollution, it is very easy for the adjustment lag to affect the treatment effect.

[0049] The second embodiment of the present application is:

[0050] Based on the first embodiment, please refer to Figure 2 , Figure 2 It is a principle block diagram of the second embodiment of the present invention.

[0051] The present invention provides an integrated water purification system with AI artificial intelligence, which also includes a maintenance module 201, a login module 202, a verification module 203, a rights management module 204 and a monitoring module 205.

[0052] In this specific embodiment, the maintenance module 201 is connected to the rule base 113, the login module 202 is used to log in to the maintenance module 201, and the verification module 203 is connected to the login module 202. Through the maintenance module 201, administrators can easily add, modify, or delete rules in the rule base 113, ensuring that the system can adapt to changing water quality treatment needs. The login module 202 is used by users to log in to the maintenance module 201, while the verification module 203 is connected to the login module 202 and is responsible for verifying the user's identity and permissions.

[0053] The authority management module 204 is connected to the login module 202 , and the authority management module 204 uses a role-based access control algorithm to ensure the security of user access and the manageability of the system.

[0054] Secondly, the monitoring module 205 is connected to the pre-processing module 103. The monitoring module 205 monitors the operating status and processing effect of the pre-processing module 103 in real time. Through the monitoring module 205, management personnel can timely understand the working status of the pre-processing module 103, discover potential problems and take measures to solve them.

[0055] When using the integrated water purification system with AI artificial intelligence (AI) of this embodiment, the authority management module 204 employs a role-based access control algorithm to ensure user access security and system manageability. The monitoring module 205 monitors the operating status and processing results of the pre-processing module 103 in real time. Through the monitoring module 205, management personnel can promptly understand the working status of the pre-processing module 103, identify potential problems, and take measures to resolve them.

[0056] The third embodiment of the present application is:

[0057] Based on the second embodiment, please refer to Figure 3 , Figure 3 It is a principle block diagram of the third embodiment of the present invention.

[0058] The present invention provides an integrated water purification system with AI artificial intelligence, which also includes a water purification effect evaluation module 301, a push module 302 and a prediction module 303.

[0059] For this specific embodiment, the water purification effect evaluation module 301 is connected to the water outlet module 106, and the push module 302 is connected to the water purification effect evaluation module 301. The water purification effect evaluation module 301 performs real-time evaluation on the water quality after treatment by the water purification module 105 to ensure that the outlet water quality meets the preset standards. The push module 302 is used to push the evaluation results to the management end.

[0060] The prediction module 303 is connected to the processing strategy generation module 111 , and the prediction module 303 is used to predict water quality.

[0061] When using an integrated water purification system with AI artificial intelligence according to this embodiment, the water purification effect evaluation module 301 performs real-time evaluation on the water quality after treatment by the water purification module 105 to ensure that the outlet water quality meets the preset standards. The push module 302 is used to push the evaluation results to the management end, and the prediction module 303 is used to predict the water quality.

[0062] The present invention uses the first data acquisition module 107 and the second data acquisition module 108 to respectively collect water quality data from the raw water tank 102 and the purified water tank 104 in real time and transmit it to the AI ​​intelligent analysis module 109. The AI ​​intelligent analysis module 109 uses advanced machine learning algorithms to intelligently analyze the water quality data and quickly determine the water quality status. The treatment strategy generation module 111 generates the corresponding treatment strategy in real time based on the results of the AI ​​intelligent analysis module 109. The execution module 112 controls the pretreatment module 103 and the water purification module 105 to make adjustments to ensure that the water quality treatment effect is always maintained at the optimal state.

[0063] The redundant processing unit 110 serves as a backup for the AI ​​intelligent analysis module 109. When the AI ​​intelligent analysis module 109 fails, the redundant processing unit 110 can immediately take over the analysis work to ensure the continuity and stability of the system operation.

[0064] Data is transmitted between modules through efficient communication protocols to ensure the accuracy and timeliness of information.

[0065] The pretreatment module 103 uses a dynamic adjustment algorithm based on water quality data to adjust processing parameters in real time according to the raw water quality, improving treatment efficiency. The water purification module 105 uses a deep learning algorithm to further purify the pretreated water, ensuring that the effluent quality meets high standards. The automated and intelligent operation and maintenance model reduces the frequency and intensity of manual inspections, thereby reducing operation and maintenance costs.

[0066] The above disclosure is only a preferred embodiment of the present invention, and certainly cannot be used to limit the scope of the rights of the present invention. Ordinary technicians in this field can understand that all or part of the processes of the above embodiment and equivalent changes made in accordance with the claims of the present invention are still within the scope of the invention.

Claims

1. An integrated water purification system with AI artificial intelligence, characterized in that: It includes a water inlet module, a raw water tank, a pretreatment module, a clean water tank, a clean water module, a water outlet module, a first data acquisition module, a second data acquisition module, an AI intelligent analysis module, a redundant processing unit, a processing strategy generation module and an execution module, the raw water tank is connected to the water inlet module, the pretreatment module is connected to the raw water tank, the clean water tank is connected to the pretreatment module, the clean water module is connected to the clean water tank, the water outlet module is connected to the clean water module, the first data acquisition module and the second data acquisition module are connected to the raw water tank and the clean water tank respectively, the AI ​​intelligent analysis module is connected to the first data acquisition module and the second data acquisition module, the processing strategy generation module is connected to the AI ​​intelligent analysis module, the execution module is connected to the processing strategy generation module, the execution modules are also connected to the pretreatment module and the water purification module, and the redundant processing unit is connected to the AI ​​intelligent analysis module; The water inlet module is used to transport raw water into the raw water tank; The first data acquisition module is used to collect water quality data of the raw water in the raw water tank and transmit it to the AI ​​intelligent analysis module for intelligent analysis to determine the water quality status, and generate a corresponding processing strategy through the processing strategy generation module and transmit it to the execution module; The execution module controls the pre-processing module to perform preliminary processing on the raw water and deliver the raw water to the clean water tank; The second data acquisition module is used to collect the pre-processed water quality data in the water purification tank and transmit it to the AI ​​intelligent analysis module for intelligent analysis to determine the water quality status, and generate a corresponding processing strategy through the processing strategy generation module and transmit it to the execution module; The execution module controls the water purification module to perform deep purification on the water in the water purification tank and then discharge the water; The redundant processing unit is used to perform intelligent analysis when the AI ​​intelligent analysis module fails.

2. The integrated water purification system with AI artificial intelligence according to claim 1, characterized in that: The redundant processing unit includes a heartbeat monitoring module, a redundant processing module and an automatic switching module. The heartbeat monitoring module is connected to the AI ​​intelligent analysis module. The automatic switching modules are connected to the heartbeat monitoring module and the redundant processing module, and the automatic switching module is also connected to the AI ​​intelligent analysis module. The redundant processing modules are connected to the first data acquisition module and the second data acquisition module.

3. The integrated water purification system with AI artificial intelligence according to claim 2, characterized in that: The automatic switching module includes a task pause submodule, a state saving submodule and a state migration submodule. The task pause submodule is connected to the AI ​​intelligent analysis module, the pause saving submodule is connected to the task pause submodule, and the state migration submodule is connected to the state saving submodule and the redundancy processing module.

4. The integrated water purification system with AI artificial intelligence according to claim 3, characterized in that: The integrated water purification system with AI artificial intelligence also includes a rule base and an update module, wherein the rule base is connected to the processing strategy generation module, and the update module is connected to the rule base; The rule base provides policy rules for the processing generation module.

5. The integrated water purification system with AI artificial intelligence according to claim 4, characterized in that: The integrated water purification system with AI artificial intelligence also includes a maintenance module, a login module and a verification module. The maintenance module is connected to the rule base, the login module is used to log in to the maintenance module, and the verification module is connected to the login module.

6. The integrated water purification system with AI artificial intelligence according to claim 5, characterized in that: The integrated water purification system with AI artificial intelligence also includes a rights management module, which is connected to the login module; The authority management module adopts a role-based access control algorithm to ensure the security of user access and the manageability of the system.

7. The integrated water purification system with AI artificial intelligence according to claim 6, characterized in that: The integrated water purification system with AI artificial intelligence also includes a monitoring module, which is connected to the pretreatment module.

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