Comprehensive plan management system and method for water enterprises

By integrating multiple types of planning databases and a dynamic adjustment engine, and combining business and financial linkage analysis, the problem of data silos in wastewater treatment enterprises has been solved, cross-departmental data sharing and in-depth analysis have been achieved, management efficiency and decision-making quality have been improved, and resource allocation and production cost control have been optimized.

CN120931248APending Publication Date: 2025-11-11TAOPU SEWAGE TRAEATMENT PLANT OF SHANGHAI CHENGTOU SEWAGE TREATMENT
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Patent Information

Application Number
CN202511093539.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-06
Publication Date
2025-11-11

AI Technical Summary

Technical Problem

The existing integrated planning management system operates independently by each department, lacking a linkage mechanism, resulting in serious data silos. This makes it impossible to achieve real-time sharing and collaborative analysis, and makes it difficult to optimize resources and support decisions from a global perspective. In particular, the wastewater treatment industry lacks in-depth data analysis and plan adjustment functions.

Method used

This invention provides a comprehensive planning management system for water utilities, integrating multiple types of planning databases such as annual work plans, procurement plans, and production plans. It supports cross-departmental data sharing and real-time collaborative analysis, enabling flexible adjustments through a dynamic adjustment engine module. It is deeply integrated with a business-finance linkage analysis module, employs an intelligent reporting module to improve data analysis efficiency, and ensures data security through multi-level access control.

Benefits of technology

It has improved enterprise management efficiency and decision-making quality, optimized resource allocation, achieved deep integration of finance and production planning, supported dynamic adjustment and real-time monitoring of plans, broken down data silos, and enhanced the profitability and operational efficiency of wastewater companies.

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Abstract

The invention discloses a comprehensive plan management system for a water enterprise. The comprehensive plan management system for a sewage company comprises a plan management platform, a dynamic adjustment engine module, a business and financial linkage analysis module and a functional unit. The invention further discloses a comprehensive plan management method for the water business enterprises. According to the comprehensive plan management system and method for the water affair enterprise, the technical problems of low efficiency, data islanding, insufficient linkage and the like of an existing plan management system are solved, and the efficiency and accuracy of comprehensive plan management of the water affair enterprise are improved.
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Description

Technical Field

[0001] This invention relates to the field of wastewater treatment information management technology, and more specifically, to a comprehensive planning management system and method for water utilities. Background Technology

[0002] In existing technologies, the main functions of integrated planning management systems focus on submitting planned reports and execution reports. They support users in creating, editing, and submitting planned reports, and distribute these reports to relevant departments or personnel through a task allocation mechanism. During the execution phase, the system allows users to enter actual execution data and generate execution reports for comparison and analysis with the plan. Furthermore, existing systems typically provide basic report management functions, such as report creation and maintenance, report version control, and report archiving and retrieval, facilitating users to quickly generate and find the reports they need.

[0003] Regarding data acquisition, existing systems support various methods (such as manual entry, file import, and database connection) to obtain planned and executed data, ensuring data integrity and timeliness. Some systems also integrate basic data validation functions, capable of checking the format or range of entered data to reduce human error. After report generation, the system supports exporting reports to various formats (such as Excel and PDF) for easy sharing and archiving. Furthermore, existing systems typically provide basic user access control functions, supporting the allocation of operation permissions by role or department to ensure data security and compliance. Some systems also integrate notification and reminder functions, sending reminders when tasks are due or reports need processing, helping users complete tasks promptly. Although existing systems have limited capabilities in intelligent management and in-depth data analysis, their basic functions in planning, report management, data acquisition, and access control provide some support for enterprise planning management.

[0004] However, existing technologies have many shortcomings. Departmental planning management (such as annual work plans, procurement plans, and production plans) typically operates independently, with isolated functional modules and a lack of effective linkage mechanisms, severely limiting overall data analysis. Real-time sharing and collaborative analysis of planning data between departments are impossible, hindering resource optimization and decision support from a holistic perspective. Furthermore, the lack of a business-finance linkage mechanism between financial and production plans prevents data exchange and collaborative analysis, making it difficult to optimize cost control and capital utilization efficiency. This data silo phenomenon limits the depth and breadth of overall data analysis, impacting operational efficiency and decision-making quality. In the wastewater treatment industry, existing business management tools primarily focus on data collection and report generation, lacking in-depth support for planning management. They cannot dynamically adjust plans based on actual operational data, nor can they monitor and analyze plan execution in real time, failing to meet the wastewater treatment industry's needs for efficient, flexible, and intelligent management. Summary of the Invention

[0005] The purpose of this invention is to provide a comprehensive planning management system and method for water utilities, which solves the technical problems of low efficiency, data silos, and insufficient linkage in existing planning management systems, comprehensively improves the efficiency and accuracy of planning management, and provides richer data analysis support.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] As one aspect of the present invention, a comprehensive planning and management system for water utilities is provided, comprising:

[0008] The planning management platform integrates multiple types of planning databases, including annual work plans, procurement plans, and production plans, with cross-departmental data sharing interfaces and support for real-time collaborative analysis.

[0009] The dynamic adjustment engine module provides a flexible plan adjustment interface based on the actual execution of the plan, supporting both manual and automatic adjustment modes; it also integrates a workflow engine, which adjusts the automated flow of approval processes based on preset workflow engines.

[0010] The business-finance linkage analysis module achieves deep integration of financial planning and production planning, supports the coordinated optimization of cost control and production arrangement, establishes a two-dimensional analysis matrix model, dynamically optimizes units, and realizes rolling optimization of cost forecasting and production planning through feedback control loop;

[0011] The intelligent reporting module uses a data auto-fill engine defined by JSONPath, adopts a three-tier permission control architecture of RBAC+ABAC+row-level filtering, and improves the efficiency of plan preparation and execution reporting based on ANTLR cross-report formula calculation and dependency triggering mechanism.

[0012] Furthermore, the dual-dimensional analysis matrix of the business-finance linkage analysis module establishes a matrix model of the wastewater company's production and financial indicators. The matrix model reflects the coupling relationship between business and finance, thereby realizing the linkage between planning data and financial data.

[0013] Furthermore, the wastewater company's integrated planning management system also includes functional units, including a planning overview module. This module displays the core elements of the company's annual, quarterly, and monthly overall plans, including main objectives, key milestones, budget overview, and relevant plan execution data for production operations, business management, and development investment.

[0014] Furthermore, the functional unit also includes a plan tracking module, which tracks the plan submission status of each department, including submission time, submission quality, approval progress, and displays the timely submission rate, approval pass rate, and a summary of feedback.

[0015] Furthermore, the functional unit also includes a business early warning module, which can analyze and predict trends based on reports, and supports data early warning, risk early warning, task overdue graded early warning, and report data compliance checks.

[0016] Furthermore, the task overdue graded warning of the business early warning module is based on the dual-dimensional threshold setting of urgency or importance of the task overdue, and graded warning is carried out to ensure that the reported tasks are completed in a timely manner.

[0017] Furthermore, the functional unit also includes a data statistical analysis module, which supports the process from data collection, processing, analysis to visualization, and supports multi-dimensional analysis of production and operating costs.

[0018] Furthermore, the functional unit also includes an automatic report generation module. This module supports preset report templates for monthly reports with fixed formats and obtains and populates data to form reports through dynamic data binding and automated processes.

[0019] As another aspect of the present invention, a comprehensive planning and management method for water utilities is provided, comprising the following steps:

[0020] S1. Integrate various types of planning data through a unified planning management platform, establish a cross-departmental shared database for the wastewater company, and display the wastewater company's planning execution data through the planning overview module;

[0021] S2. The plan execution deviation is monitored in real time through the plan tracking module, and the plan is dynamically adjusted based on the dynamic adjustment engine module using manual or automatic adjustment modes;

[0022] S3. Based on the business-finance linkage analysis module, run the business-finance linkage analysis model:

[0023] Unit cost = α·(power / processing volume) + β·(chemical cost / processing volume) + γ·labor cost + δ·(water cost / processing volume) + ε·(fuel / processing volume)

[0024] Among them, the coefficients α, β, γ, δ, and ε are all obtained through training with historical data;

[0025] S4. Based on the intelligent reporting module, intelligent summarization is performed, and reports are automatically generated through the automatic report generation module, including:

[0026] Report data is automatically populated based on JSONPath mapping rules;

[0027] Parse the syntax tree using ANTLR and perform cross-table calculations;

[0028] For report data on overdue tasks, KPI deviations, and compliance anomalies, statistical analysis is performed by the data statistics and analysis module, and then tiered early warnings are issued by the business early warning module.

[0029] By adopting the above technical solution, the present invention has the following advantages:

[0030] This invention provides a comprehensive planning management system and method for water utilities, improving company management efficiency and decision-making quality, reducing costs, and enhancing profitability. It can intuitively display the overall production and operation data of the water utility, improve the efficiency of collaboration and workflow between departments, optimize resource allocation, control production costs, and provide decision support for management. It integrates multiple types of planning data, breaking the limitations of isolated operation of departmental planning data in traditional systems; it supports dynamic adjustment of plans, making planning management more flexible and adaptable; it achieves deep integration of financial and production planning, and through adaptation to multi-dimensional data analysis, it facilitates company leaders to monitor project plan execution and timely grasp operational data. This improves the efficiency and accuracy of comprehensive planning management for wastewater treatment companies. Attached Figure Description

[0031] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings.

[0032] Figure 1 This is an architecture diagram of the integrated planning management system of the present invention;

[0033] Figure 2 This is a schematic diagram showing the overall plan module of the present invention;

[0034] Figure 3 This is a flowchart of the real-time feedback control loop of the business-finance linkage analysis module of the present invention;

[0035] Figure 4 This is a flowchart of the integrated planning and management method of the present invention. Detailed Implementation

[0036] The technical solution of the present invention will be specifically described below with reference to the accompanying drawings. The detailed features and advantages of the present invention are described in detail in the specific embodiments. The content is sufficient to enable any person skilled in the art to understand the technical content of the present invention and implement it accordingly. Based on the specification, claims and drawings disclosed in this specification, those skilled in the art can easily understand the related objects and advantages of the present invention.

[0037] Figure 1 This invention illustrates the architecture of a comprehensive planning management system for water utilities, as shown in the schematic diagram below. Figure 1 As shown, it includes a planning management platform, a dynamic adjustment engine module, a business-finance linkage analysis module, and functional units. The planning management platform integrates multiple types of planning databases, including annual work plans, procurement plans, and production plans, with cross-departmental data sharing interfaces to support real-time collaborative analysis. It establishes a unified planning management platform, integrating various types of planning data and covering the entire lifecycle from plan formulation to plan execution. It supports cross-departmental data sharing and collaborative analysis, breaking down data silos and optimizing resource allocation.

[0038] The dynamic adjustment engine module supports adjustments to the plan based on the actual execution situation, providing a flexible plan adjustment interface and supporting both manual and automatic adjustment modes. It integrates a workflow engine, which adjusts the automated flow of approval processes based on preset workflow engines. The integrated workflow engine supports the automatic allocation, transmission, and approval of planned tasks, and provides real-time monitoring and early warning functions to ensure the timeliness and accuracy of plan execution.

[0039] The functional units of the integrated planning management system for water utilities include a planning overview module, a planning tracking module, a business early warning module, a data statistical analysis module, and an automatic report generation module.

[0040] The overall planning module displays the key points of the wastewater company's annual, quarterly, and monthly overall plans, including main objectives, key milestones, budget overview, and relevant plan execution data for production operations, business management, and development investment.

[0041] Figure 2This is a schematic diagram illustrating the overall planning module of this invention. The overall planning module displays the core elements of the company's annual / quarterly / monthly overall plan, including main objectives, key milestones, budget overview, etc. Data can be presented such as total planned amount, plan completion rate (compared to the previous period), number and percentage of key plans, etc., to quickly understand the direction and progress of the company's overall plan. The specific schematic diagram is as follows: Figure 2 As shown:

[0042] Production and Operations Overview: This section focuses on the daily plan execution of each wastewater treatment plant, showcasing specific details of the production plan, such as daily production data, planned wastewater and sludge treatment volume, and equipment maintenance plans. By comparing actual and planned data, the efficiency and effectiveness of production and operations are evaluated.

[0043] Operations and Management Overview: This section displays relevant data on the company's labor cost requirements and material procurement requirements. It primarily includes statistics on the procurement needs and payment plans of each department, and analyzes the deviation from the annual plan.

[0044] Development Investment Overview: The data displayed includes statistical reports on the implementation of investment plans for basic construction projects, renovation and upgrading projects, and scientific research projects. The analysis compares budgets with actual expenditures and annual plans with monthly execution to determine risk assessments and completion status.

[0045] The plan tracking module can track the plan submission status of each department, including submission time, submission quality, approval progress, and display the on-time submission rate, approval rate, and feedback summary. The data displays on-time submission rate, approval rate, and feedback summary, ensuring smooth and efficient plan submission and promoting the continuity and effectiveness of plan execution.

[0046] In addition, the functional unit also includes planning early warning: it can monitor the execution of plans and key performance indicators in real time, and provide early warnings for abnormal data, such as overdue reporting, deviation from plan execution, and failure to meet KPIs.

[0047] The functional units also include plan reporting: each department fills out reports based on the task content, with some data entered manually. For connected data sources, some reports support one-click automatic data retrieval and import, such as some production data from the production control platform and some project data from the project management system. Report import is supported; users can import Excel, CSV, and other tables according to the task content. The system can automatically analyze and retrieve the data, and then fill the data into the corresponding tables after matching.

[0048] The functional unit also includes plan adjustment. When adjusting the annual plan, users select the plan to be adjusted, edit and modify it, and submit it. After submission, the system follows the preset process and nodes to complete the approval and update the annual plan. The approval information, process nodes, and modified content of the plan adjustment will be saved as historical data. The system supports publishing plan information after plan adjustments.

[0049] The business early warning module analyzes periodic data based on reports and predicts trends, promptly identifying events that may pose risks. This integrated system of data processing and early warning provides real-time monitoring and alerting capabilities. It supports both data and risk early warnings, enabling timely feedback and risk assessment of abnormal data through threshold settings and dynamic adjustments. It also supports tiered alerts for overdue tasks, classifying data and reports not submitted on time by departments and production units according to urgency and importance, ensuring timely completion of tasks. Notably, the business early warning module's tiered overdue task alerts are based on dual-dimensional threshold settings for urgency and importance, ensuring timely completion of tasks. Furthermore, it supports compliance checks on report data from various departments and production units, highlighting and alerting for abnormal data.

[0050] The data statistics and analysis module supports the entire process from data collection, processing, analysis to visualization, and enables multi-dimensional analysis of production and operating costs. It supports wastewater treatment companies throughout the entire process of data collection, processing, analysis, and visualization, helping enterprises discover the potential value within data and driving business growth and optimization. It provides leaders and employees at all levels with highly flexible data viewing, exporting, and analysis functions. It uncovers business data correlations, optimizes business processes, and improves decision-making efficiency. It supports production and operating cost analysis by extracting data from annual reports and comparing planned costs with actual production costs, performing multi-dimensional analyses such as year-on-year comparisons, trend analysis, and unit cost comparisons. It also utilizes tools such as heatmaps to achieve cross-analysis, gaining a deeper understanding of the composition and changes in production costs, thereby assisting in optimizing production costs.

[0051] The automatic report generation module is designed for monthly reports with fixed formats. It supports preset report templates and uses dynamic data binding and automated processes to acquire and populate data to generate the report. Specific functions are as follows: For monthly reports with fixed formats, preset report templates are supported. After the user selects the data source in the template, the system uses dynamic data binding and automated processes to acquire the necessary data for the report at any time and populate the data into the corresponding positions in the report, ultimately generating the report required by the user.

[0052] In addition, the business-finance linkage analysis module of the wastewater company integrated planning management system based on multi-dimensional linkage realizes the deep integration of financial planning and production planning, supports the coordinated optimization of cost control and production arrangement, establishes a two-dimensional analysis matrix model, dynamically optimizes units, and realizes cost prediction and rolling optimization of production plan through feedback control loop;

[0053] By establishing a dual-dimensional analysis matrix model that combines financial and production indicators, this model reflects the coupling relationship between business and finance, thereby enabling the linkage between planning and financial data and resolving the issue of their inability to be linked. The specific details of the dual-dimensional analysis matrix model are as follows:

[0054]

[0055] The W matrix reflects the coupling relationship between business and finance.

[0056] A dynamic optimization mechanism was adopted, through methods such as Figure 3 The real-time feedback control loop shown performs feedback correction.

[0057] In addition, the intelligent reporting module simplifies the content of plan submissions and improves the efficiency of plan preparation and execution submission through functions such as automatic data backfilling, role-based reporting permissions, cross-report formula calculation, and intelligent summarization.

[0058] The data mapping engine for automatic report data backfilling uses JSONPath to define data location rules and establishes a mapping table between source data and planned fields based on planning relationships. When the corresponding comprehensive planning task is triggered, basic data is backfilled based on existing data from previous periods of the plan to ensure the accuracy of executed plan data.

[0059] The role-based access control for planning is based on a multi-layered access control model: RBAC base layer + ABAC attribute layer + data row-level filtering. This enables different roles to control their access to plan reports. This function ensures that the plan execution data of different roles will not affect each other due to human error.

[0060] In a specific embodiment, the operation permissions and data ranges of different roles in the multi-level permission model for the planning report are shown in Table 1 below:

[0061] Table 1: Operation permissions and data ranges for different roles in the planning report

[0062]

[0063] Data logic calculations and report summaries utilize ANTLR parsing formula syntax trees, supporting cross-table referencing. Basic planning data from various grassroots units and departments can be summarized into departmental or company-level planning data. Details are as follows:

[0064] A [Inlet Water Data] --> B [Process Calculations]

[0065] B-->C [Cost Accounting]

[0066] D [Energy Consumption Data] --> C

[0067] C-->E [Comprehensive Summary]

[0068] When the source data changes, only the affected computations are triggered through the dependency graph.

[0069] def on_data_change(changed_field):

[0070] dependents=dependency_graph.get(changed_field)

[0071] for field in dependents:

[0072] recalculate(field)

[0073] The intelligent reporting module enables three-dimensional collaborative management of "automated data flow, intelligent computing, and refined permissions".

[0074] This invention also provides a comprehensive planning and management method for water utilities, comprising the following specific steps as follows: Figure 4 As shown:

[0075] S1. Integrate various types of planning data through a unified planning management platform, establish a cross-departmental shared database for the wastewater company, and display the wastewater company's planning execution data through the planning overview module;

[0076] S2. The plan execution deviation is monitored in real time through the plan tracking module, and the plan is dynamically adjusted based on the dynamic adjustment engine module using manual or automatic adjustment modes;

[0077] S3. Based on the business-finance linkage analysis module, run the business-finance linkage analysis model:

[0078] Unit cost = α·(power / processing volume) + β·(chemical cost / processing volume) + γ·labor cost + δ·(water cost / processing volume) + ε·(fuel / processing volume)

[0079] Among them, the coefficients α, β, γ, δ, and ε are all obtained through training with historical data;

[0080] S4. Based on the intelligent reporting module, intelligent summarization is performed, and reports are automatically generated through the automatic report generation module, including:

[0081] Report data is automatically populated based on JSONPath mapping rules;

[0082] Parse the syntax tree using ANTLR and perform cross-table calculations;

[0083] For report data on overdue tasks, KPI deviations, and compliance anomalies, statistical analysis is performed by the data statistics and analysis module, and then tiered early warnings are issued by the business early warning module.

[0084] Finally, it should be noted that although the present invention has been described with reference to specific embodiments, those skilled in the art should recognize that the above embodiments are only used to illustrate the present invention and are not intended to limit the present invention. Various equivalent changes or substitutions can be made without departing from the concept of the present invention. Therefore, any changes or modifications to the above embodiments within the essential spirit of the present invention will fall within the scope of the claims of the present invention.

Claims

1. A comprehensive planning and management system for water utilities, characterized in that, include: The planning management platform integrates multiple types of planning databases, including annual work plans, procurement plans, and production plans, with cross-departmental data sharing interfaces and support for real-time collaborative analysis. The dynamic adjustment engine module provides a flexible plan adjustment interface based on the actual execution of the plan, supporting both manual and automatic adjustment modes; it also integrates a workflow engine, which adjusts the automated flow of approval processes based on preset workflow engines. The business-finance linkage analysis module achieves deep integration of financial planning and production planning, supports the coordinated optimization of cost control and production arrangement, establishes a two-dimensional analysis matrix model, dynamically optimizes units, and realizes rolling optimization of cost forecasting and production planning through feedback control loop; The intelligent reporting module uses a data auto-fill engine defined by JSONPath, adopts a three-tier permission control architecture of RBAC+ABAC+row-level filtering, and improves the efficiency of plan preparation and execution reporting based on ANTLR cross-report formula calculation and dependency triggering mechanism.

2. The integrated planning and management system for water utilities as described in claim 1, characterized in that, The dual-dimensional analysis matrix model of the business-finance linkage analysis module establishes a matrix model of the wastewater company's production and financial indicators. The matrix model reflects the coupling relationship between business and finance, thereby realizing the linkage between planning data and financial data.

3. The integrated planning and management system for water utilities as described in claim 1, characterized in that, It also includes functional units, including a planning overview module, which displays the core elements of the company's annual, quarterly, and monthly overall plans, including main objectives, key milestones, budget overview, and relevant plan execution data for production operations, business management, and development investment.

4. The integrated planning and management system for water utilities as described in claim 1, characterized in that, The functional unit also includes a plan tracking module, which tracks the plan submission status of each department, including submission time, submission quality, approval progress, and displays the timely submission rate, approval pass rate, and a summary of feedback.

5. A comprehensive planning and management system for water utilities as described in claim 1, characterized in that, The functional unit also includes a business early warning module, which can analyze and predict trends based on reports, and supports data early warning, risk early warning, task overdue graded early warning, and report data compliance check.

6. A comprehensive planning and management system for water utilities as described in claim 5, characterized in that, The task overdue graded warning of the business early warning module is based on the dual-dimensional threshold setting of urgency or importance of the task overdue, and the warning is graded to ensure that the reported tasks are completed in a timely manner.

7. A comprehensive planning and management system for water utilities as described in claim 1, characterized in that, The functional unit also includes a data statistical analysis module, which supports the process from data collection, processing, analysis to visualization, and supports multi-dimensional analysis of production and operating costs.

8. A comprehensive planning and management system for water utilities as described in claim 1, characterized in that, The functional unit also includes an automatic report generation module. This module supports preset report templates for monthly reports with fixed formats and obtains and populates data to form reports through dynamic data binding and automated processes.

9. A comprehensive planning and management method for water utilities, characterized in that, Includes the following steps: S1. Integrate various types of planning data through a unified planning management platform, establish a cross-departmental shared database for the wastewater company, and display the wastewater company's planning execution data through the planning overview module; S2. The plan execution deviation is monitored in real time through the plan tracking module, and the plan is dynamically adjusted based on the dynamic adjustment engine module using manual or automatic adjustment modes; S3. Based on the business-finance linkage analysis module, run the business-finance linkage analysis model: Unit cost = α·(electricity consumption / processing volume) + β·(reagent cost / COD removal volume) + γ·labor cost Among them, the coefficients α, β, and γ are all obtained through training with historical data; S4. Based on the intelligent reporting module, intelligent summarization is performed, and reports are automatically generated through the automatic report generation module, including: Report data is automatically populated based on JSONPath mapping rules; Parse the syntax tree using ANTLR and perform cross-table calculations; For report data on overdue tasks, KPI deviations, and compliance anomalies, statistical analysis is performed by the data statistics and analysis module, and then tiered early warnings are issued by the business early warning module.