Real-time sewage treatment method and system based on sewage data monitoring

Abstract

The present invention belongs to the field of sewage data monitoring, and in particular to a real-time sewage treatment method and system based on sewage data monitoring. In view of the problem that it is inconvenient to match the corresponding treatment plan according to the sewage data when treating the existing sewage, which is not conducive to the treatment of sewage, the following scheme is proposed. The treatment method includes the following steps: S1, first collecting historical sewage treatment data and sorting the collected data; S2, formulating treatment plans corresponding to different sewage monitoring data according to the collected data, optimizing the treatment plans, and formulating a final treatment plan; the treatment system includes a big data collection module, a data sorting module, a treatment plan formulation module, a login verification module, an opinion expression module, a plan opinion collection module, a treatment plan optimization module, a treatment plan storage module, and a sewage data monitoring module. The present invention can match the corresponding sewage treatment plan according to the sewage situation, which is conducive to the treatment of sewage.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage data monitoring, and in particular to a real-time sewage treatment method and system based on sewage data monitoring. Background Art

[0002] Wastewater treatment: The process of purifying wastewater to ensure it meets the required quality for discharge into a water body or reuse. Wastewater treatment is widely used in various fields such as construction, agriculture, transportation, energy, petrochemicals, environmental protection, urban landscape, medical care, and catering, and is increasingly becoming part of the daily lives of ordinary people.

[0003] In the existing technology, when treating sewage, it is not convenient to match the corresponding treatment plan according to the sewage data, which is not conducive to sewage treatment. Therefore, we propose a real-time sewage treatment method and system based on sewage data monitoring to solve the above problems. Summary of the Invention

[0004] The purpose of the present invention is to solve the shortcomings of the existing technology in that it is inconvenient to match the corresponding treatment plan according to the sewage data when treating sewage, which is not conducive to the treatment of sewage, and to propose a real-time sewage treatment method and system based on sewage data monitoring.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] The real-time sewage treatment method based on sewage data monitoring includes the following steps:

[0007] S1. First, collect historical sewage treatment data and organize the collected data;

[0008] S2. Develop treatment plans corresponding to different sewage monitoring data based on the collected data, optimize the treatment plans, and formulate the final treatment plan;

[0009] S3. Monitor sewage data in real time and extract the monitored data;

[0010] S4. Matching a corresponding treatment plan according to the extracted monitoring data, and treating the sewage according to the matched treatment plan;

[0011] S5. Test the treated sewage and evaluate the treatment effect based on the test results.

[0012] The present invention also proposes a real-time sewage treatment system based on sewage data monitoring, including a big data acquisition module, a data collation module, a treatment plan formulation module, a login verification module, an opinion expression module, a plan opinion acquisition module, a treatment plan optimization module, a treatment plan storage module, a sewage data monitoring module, a sewage data extraction module, a sewage data identification module, a treatment plan matching module, a real-time sewage treatment module, a treatment result feedback module, a treatment effect evaluation module and a data storage module, wherein the big data acquisition module is connected to the data collation module, the data collation module is connected to the treatment plan formulation module, the treatment plan formulation module is connected to the plan opinion acquisition module, the plan opinion acquisition module is connected to the treatment plan optimization module, the treatment plan optimization module is connected to the treatment plan storage module, the sewage data monitoring module is connected to the sewage data extraction module, the sewage data extraction module is connected to the sewage data identification module, the sewage data identification module is connected to the treatment plan matching module, the treatment plan matching module is connected to the real-time sewage treatment module, the real-time sewage treatment module is connected to the treatment result feedback module, and the treatment result feedback module is connected to the data storage module and the treatment effect evaluation module.

[0013] Preferably, the processing effect evaluation module includes a processing data extraction unit, the processing data extraction unit is connected to a data comparison unit, the data comparison unit is connected to a difference calculation unit, the difference calculation unit is connected to an effect evaluation unit, and the effect evaluation unit is connected to a result output unit.

[0014] Preferably, the data storage module includes a data receiving unit, the data receiving unit is connected to a data identification unit, the data identification unit is connected to a data classification unit, the data classification unit is connected to a data storage unit, and the data storage unit is connected to a capacity monitoring unit.

[0015] Preferably, the solution opinion collection module includes an opinion collection unit, the opinion collection unit is connected to an opinion sorting unit, the opinion sorting unit is connected to an opinion statistics unit, the opinion statistics unit is connected to a feasibility analysis unit, and the feasibility analysis unit is connected to a removal and retention unit.

[0016] Preferably, the big data acquisition module is used to collect historical data of sewage treatment, the data sorting module is used to sort the collected historical data, and the treatment plan formulation module is used to formulate treatment plans under different sewage data based on the collected historical data.

[0017] Preferably, the solution opinion collection module is used to collect opinions on the formulated processing solution, the processing solution optimization module is used to optimize the formulated solution according to the opinions, and the processing solution storage module is used to store the processing solution.

[0018] Preferably, the sewage data monitoring module is used to monitor the data of sewage that needs to be treated, the sewage data extraction module is used to extract the monitored data, and the sewage data identification module is used to identify the extracted data.

[0019] Preferably, the treatment solution matching module is used to match the treatment solution corresponding to the data from the treatment solution storage module according to the identified data, and the real-time sewage treatment module is used to treat the sewage according to the matched treatment solution.

[0020] Preferably, the treatment result feedback module is used to detect the treated sewage and feed back the detection data to the treatment effect evaluation module. The treatment effect evaluation module evaluates the treatment effect of the treatment scheme based on the received data, and the evaluation results are transmitted to the data storage module for storage.

[0021] In the present invention, the real-time sewage treatment method and system based on sewage data monitoring have the following beneficial effects:

[0022] This plan first collects historical sewage treatment data and organizes the collected data; formulates treatment plans corresponding to different sewage monitoring data based on the collected data, optimizes the treatment plans, and formulates the final treatment plan; monitors sewage data in real time and extracts the monitored data; matches the corresponding treatment plan based on the extracted monitoring data, and treats the sewage according to the matched treatment plan; tests the treated sewage and evaluates the treatment effect based on the test results;

[0023] The present invention can match corresponding sewage treatment schemes according to sewage conditions, which is beneficial to sewage treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a block diagram of the real-time sewage treatment system based on sewage data monitoring proposed by the present invention;

[0025] Figure 2 This is a block diagram of a treatment effect evaluation module of a real-time sewage treatment system based on sewage data monitoring proposed by the present invention;

[0026] Figure 3 This is a block diagram of a data storage module of a real-time sewage treatment system based on sewage data monitoring proposed by the present invention;

[0027] Figure 4 This is a block diagram of a solution management module for a real-time sewage treatment system based on sewage data monitoring proposed by the present invention;

[0028] Figure 5 This is a block diagram of the solution opinion collection module of the real-time sewage treatment system based on sewage data monitoring proposed by the present invention. DETAILED DESCRIPTION

[0029] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0030] Example 1

[0031] Reference Figure 1-Figure 5 , a real-time sewage treatment method based on sewage data monitoring, comprising the following steps:

[0032] S1. First, collect historical sewage treatment data and organize the collected data;

[0033] S2. Develop treatment plans corresponding to different sewage monitoring data based on the collected data, optimize the treatment plans, and formulate the final treatment plan;

[0034] S3. Monitor sewage data in real time and extract the monitored data;

[0035] S4. Matching a corresponding treatment plan according to the extracted monitoring data, and treating the sewage according to the matched treatment plan;

[0036] S5. Test the treated sewage and evaluate the treatment effect based on the test results.

[0037] This embodiment also proposes a real-time sewage treatment system based on sewage data monitoring, including a big data collection module, a data collation module, a treatment plan formulation module, a login verification module, an opinion expression module, a plan opinion collection module, a treatment plan optimization module, a treatment plan storage module, a sewage data monitoring module, a sewage data extraction module, a sewage data identification module, a treatment plan matching module, a real-time sewage treatment module, a treatment result feedback module, a treatment effect evaluation module and a data storage module. The big data collection module is connected to the data collation module, the data collation module is connected to the treatment plan formulation module, the treatment plan formulation module is connected to the plan opinion collection module, the plan opinion collection module is connected to the treatment plan optimization module, the treatment plan optimization module is connected to the treatment plan storage module, the sewage data monitoring module is connected to the sewage data extraction module, the sewage data extraction module is connected to the sewage data identification module, the sewage data identification module is connected to the treatment plan matching module, the treatment plan matching module is connected to the real-time sewage treatment module, the real-time sewage treatment module is connected to the treatment result feedback module, and the treatment result feedback module is connected to the data storage module and the treatment effect evaluation module.

[0038] In this embodiment, the processing effect evaluation module includes a processing data extraction unit, the processing data extraction unit is connected to a data comparison unit, the data comparison unit is connected to a difference calculation unit, the difference calculation unit is connected to an effect evaluation unit, and the effect evaluation unit is connected to a result output unit.

[0039] In this embodiment, the data storage module includes a data receiving unit connected to a data identification unit, connected to a data classification unit, connected to a data storage unit, and connected to a capacity monitoring unit.

[0040] In this embodiment, the solution opinion collection module includes an opinion collection unit, the opinion collection unit is connected to the opinion sorting unit, the opinion sorting unit is connected to the opinion statistics unit, the opinion statistics unit is connected to the feasibility analysis unit, and the feasibility analysis unit is connected to the elimination and retention unit.

[0041] In this embodiment, the big data collection module is used to collect historical data of sewage treatment, the data sorting module is used to sort the collected historical data, and the treatment plan formulation module is used to formulate treatment plans under different sewage data based on the collected historical data.

[0042] In this embodiment, the solution opinion collection module is used to collect opinions on the formulated processing solution, the processing solution optimization module is used to optimize the formulated solution based on the opinions, and the processing solution storage module is used to store the processing solution.

[0043] In this embodiment, the sewage data monitoring module is used to monitor the data of sewage that needs to be treated, the sewage data extraction module is used to extract the monitored data, and the sewage data identification module is used to identify the extracted data.

[0044] In this embodiment, the treatment solution matching module is used to match the treatment solution corresponding to the data from the treatment solution storage module according to the identified data, and the real-time sewage treatment module is used to treat the sewage according to the matched treatment solution.

[0045] In this embodiment, the treatment result feedback module is used to detect the treated sewage and feed back the detection data to the treatment effect evaluation module. The treatment effect evaluation module evaluates the treatment effect of the treatment scheme based on the received data, and the evaluation results are transmitted to the data storage module for storage.

[0046] Example 2

[0047] The difference between this embodiment and the first embodiment is that:

[0048] The real-time sewage treatment system based on sewage data monitoring includes a big data acquisition module, a data collation module, a treatment plan formulation module, a login verification module, an opinion expression module, a plan opinion collection module, a treatment plan optimization module, a treatment plan storage module, a sewage data monitoring module, a sewage data extraction module, a sewage data identification module, a treatment plan matching module, a real-time sewage treatment module, a treatment result feedback module, a treatment effect evaluation module, a plan management module and a data storage module. The big data acquisition module is connected to the data collation module, the data collation module is connected to the treatment plan formulation module, the treatment plan formulation module is connected to the plan opinion collection module, the plan opinion collection module is connected to the treatment plan optimization module, and the treatment plan optimization module is connected to the treatment plan storage module. The sewage data monitoring module is connected to the sewage data extraction module, the sewage data extraction module is connected to the sewage data identification module, the sewage data identification module is connected to the treatment scheme matching module, the treatment scheme matching module is connected to the real-time sewage treatment module, the real-time sewage treatment module is connected to the treatment result feedback module, the treatment result feedback module is connected to the data storage module and the treatment effect evaluation module, the scheme management module is connected to the treatment scheme storage module, the scheme management module includes an identity authentication unit, the identity authentication unit is connected to the scheme update unit, the scheme update unit is connected to the scheme deletion unit, the scheme deletion unit is connected to the scheme printing unit, the scheme printing unit is connected to the traceability registration unit, and the scheme management module is used to update, delete and print the schemes in the treatment scheme storage module.

[0049] Example 3

[0050] The difference from Example 1 is that: the real-time sewage treatment system based on sewage data monitoring includes a big data collection module, a data collation module, a treatment plan formulation module, a login verification module, an opinion expression module, a plan opinion collection module, a treatment plan optimization module, a treatment plan storage module, a sewage data monitoring module, a sewage data extraction module, a sewage data identification module, a treatment plan matching module, a real-time sewage treatment module, a treatment result feedback module, a treatment effect evaluation module, a data storage module and a capacity monitoring module. The big data collection module is connected to the data collation module, the data collation module is connected to the treatment plan formulation module, the treatment plan formulation module is connected to the plan opinion collection module, the plan opinion collection module is connected to the treatment plan optimization module, the treatment plan optimization module is connected to the treatment plan storage module, the sewage data monitoring module is connected to the sewage data extraction module, the sewage data extraction module is connected to the sewage data identification module, the sewage data identification module is connected to the treatment plan matching module, the treatment plan matching module is connected to the real-time sewage treatment module, the real-time sewage treatment module is connected to the treatment result feedback module, the treatment result feedback module is connected to the data storage module and the treatment effect evaluation module, the capacity monitoring module is connected to the data storage module, and the storage capacity of the data storage module is monitored by the capacity monitoring module.

[0051] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. A real-time sewage treatment method based on sewage data monitoring adopts the following real-time sewage treatment system based on sewage data monitoring, including a big data acquisition module, a data collation module, a treatment plan formulation module, a login verification module, an opinion expression module, a plan opinion collection module, a treatment plan optimization module, a treatment plan storage module, a sewage data monitoring module, a sewage data extraction module, a sewage data identification module, a treatment plan matching module, a real-time sewage treatment module, a treatment result feedback module, a treatment effect evaluation module and a data storage module. The sewage treatment method includes the following steps: S1. First, collect historical sewage treatment data and organize the collected data; S2. Develop treatment plans corresponding to different sewage monitoring data based on the collected data, optimize the treatment plans, and formulate the final treatment plan; S3. Monitor sewage data in real time and extract the monitored data; S4. Matching a corresponding treatment plan according to the extracted monitoring data, and treating the sewage according to the matched treatment plan; S5. Test the treated sewage and evaluate the treatment effect based on the test results.

2. The real-time sewage treatment method based on sewage data monitoring according to claim 1 is characterized in that: The big data acquisition module is connected to the data collation module, the data collation module is connected to the treatment plan formulation module, the treatment plan formulation module is connected to the plan opinion collection module, the plan opinion collection module is connected to the treatment plan optimization module, the treatment plan optimization module is connected to the treatment plan storage module, the sewage data monitoring module is connected to the sewage data extraction module, the sewage data extraction module is connected to the sewage data identification module, the sewage data identification module is connected to the treatment plan matching module, the treatment plan matching module is connected to the real-time sewage treatment module, the real-time sewage treatment module is connected to the treatment result feedback module, and the treatment result feedback module is connected to the data storage module and the treatment effect evaluation module.

3. The real-time sewage treatment method based on sewage data monitoring according to claim 2 is characterized in that: The processing effect evaluation module includes a processing data extraction unit, the processing data extraction unit is connected to a data comparison unit, the data comparison unit is connected to a difference calculation unit, the difference calculation unit is connected to an effect evaluation unit, and the effect evaluation unit is connected to a result output unit.

4. The real-time sewage treatment method based on sewage data monitoring according to claim 3 is characterized in that: The data storage module includes a data receiving unit connected to a data identifying unit, the data identifying unit connected to a data classification unit, the data classification unit connected to a data storage unit, and the data storage unit connected to a capacity monitoring unit.

5. The real-time sewage treatment method based on sewage data monitoring according to claim 4 is characterized in that: The solution opinion collection module includes an opinion collection unit, the opinion collection unit is connected to an opinion sorting unit, the opinion sorting unit is connected to an opinion statistics unit, the opinion statistics unit is connected to a feasibility analysis unit, and the feasibility analysis unit is connected to a removal and retention unit.

6. The real-time sewage treatment method based on sewage data monitoring according to claim 5 is characterized in that: The big data collection module is used to collect historical data of sewage treatment, the data sorting module is used to sort the collected historical data, and the treatment plan formulation module is used to formulate treatment plans under different sewage data based on the collected historical data.

7. The real-time sewage treatment method based on sewage data monitoring according to claim 6 is characterized in that: The solution opinion collection module is used to collect opinions on the formulated treatment solution, the treatment solution optimization module is used to optimize the formulated solution according to the opinions, and the treatment solution storage module is used to store the treatment solution.

8. The real-time sewage treatment method based on sewage data monitoring according to claim 7 is characterized in that: The sewage data monitoring module is used to monitor the sewage that needs to be treated, the sewage data extraction module is used to extract the monitored data, and the sewage data identification module is used to identify the extracted data.

9. The real-time sewage treatment method based on sewage data monitoring according to claim 8, characterized in that: The treatment scheme matching module is used to match the treatment scheme corresponding to the data from the treatment scheme storage module according to the identified data, and the real-time sewage treatment module is used to treat the sewage according to the matched treatment scheme.

10. The real-time sewage treatment method based on sewage data monitoring according to claim 9, characterized in that: The treatment result feedback module is used to detect the treated sewage and feed back the detection data to the treatment effect evaluation module. The treatment effect evaluation module evaluates the treatment effect of the treatment scheme based on the received data, and the evaluation result is transmitted to the data storage module for storage.

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