Dynamic balance statistics and analysis platform applied to water system of thermal power plant

Abstract

The invention particularly relates to a dynamic balance statistics and analysis platform applied to a thermal power plant water system, which comprises a system management module, a basic management module, a real-time monitoring module, a balance monitoring module, an intelligent early warning module, a water consumption evaluation module and a statistical analysis module, and the modules are in data intercommunication. The following technical effects are jointly realized: full-process and full-factor dynamic monitoring is realized, and the management level is improved; the accuracy and timeliness of water balance statistics are improved; the water resource utilization is optimized, and the water consumption cost is reduced; intelligent decision support is provided for power plant water resource management; the modular design is adopted, adaptability is high, and popularization is convenient; the economic benefit and the environmental protection benefit are improved. The operation cost is reduced, and the operation cost of the water system can be predicted to be reduced by 5%-15% by optimizing water consumption and reducing the water taking amount and the wastewater treatment cost. Environmental risks are reduced, the water discharge amount is accurately controlled, excessive water discharge is avoided, environmental protection punishment risks are reduced, and green and low-carbon development of a power plant is assisted.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of thermal power plant water system management, in particular to a dynamic balance statistics and analysis platform applied to a thermal power plant water system, which is used for realizing real-time monitoring, dynamic balance statistics and comprehensive analysis of each water system of the thermal power plant. BACKGROUND

[0002] As an important energy supply facility in the development of national economy, the thermal power plant is also a typical high-water-consumption industrial facility. Its water system plays a core role in ensuring safe and stable operation of the unit, controlling energy consumption and achieving environmental protection emission standards. The thermal power plant water system realizes efficient allocation of water resources by grading taking, grading using and recycling treating different water quality sources. From the system structure, the thermal power plant water system is complex, including raw water pretreatment subsystem, desalted water subsystem, industrial water subsystem, desulfurization wastewater subsystem, dehumidification water subsystem, coal-containing wastewater subsystem, domestic water subsystem, domestic sewage subsystem and circulating water subsystem and other multiple interrelated subsystems. These subsystems work together to meet the water demand of multiple scenarios such as cooling, heat exchange, process preparation, environmental protection desulfurization, employee life and so on in the power generation process of the thermal power plant.

[0003] However, in the traditional management process of the thermal power plant water system, the following problems exist, which seriously restrict the efficiency of water resource management and the stability of water system operation of the thermal power plant: 1. The data of each water system is scattered, and the data is stored in different devices or systems, lacking a unified data integration platform, which makes it difficult for management personnel to realize real-time monitoring of the water balance status of the whole plant, and unable to timely grasp the overall operation dynamics of the water system; 2. The water balance statistics are mostly manually recorded, the statistical method is backward, the efficiency and accuracy are low, and the water balance statistics work mostly depends on manual recording and manual calculation, not only consumes a lot of manpower and time cost, and the work efficiency is low, but also in the process of data recording and calculation, human errors are easy to occur, which makes it difficult to guarantee the accuracy of the statistical results, and cannot provide reliable data support for water system management decision-making; 3. Lack of dynamic analysis model, difficult to find water system abnormalities, in the existing management mode, there is lack of dynamic analysis model for the characteristics of the thermal power plant water system, which cannot realize real-time dynamic analysis of various parameters in the operation process of the water system, when the water system appears abnormal situation (such as abnormal fluctuation of flow, water quality exceeding standard, etc.), it is difficult to find out in time, and it is often not until the fault expands and affects the unit operation that it can be detected, which increases the difficulty of water system fault handling and economic loss; 4. Water resource utilization rate analysis is not accurate enough to provide data support for water saving optimization. The analysis of water resource utilization rate only stays at the rough estimation level and cannot accurately calculate key indicators such as water resource reuse rate and water consumption rate of each subsystem, which leads to the inability to accurately identify water waste links and the difficulty in formulating a scientific and reasonable water saving optimization scheme, which is not conducive to the realization of water resource saving and cost reduction in thermal power plants. Based on this, a dynamic balance statistics and analysis platform applied to the water system of a thermal power plant is proposed to solve the defects of the prior art and improve the management level of the water system of the thermal power plant. SUMMARY

[0004] The purpose of the present application is to provide a dynamic balance statistics and analysis platform applied to the water system of a thermal power plant, which realizes the whole-cycle water system management from real-time dynamic monitoring to annual statistics by establishing a multi-level water balance statistics system, improves the data integration efficiency, statistical accuracy and timeliness of abnormal early warning, and provides protection for the optimized utilization of water resources and the stable operation of the water system of the thermal power plant.

[0005] In order to achieve the above-mentioned purpose, the present application adopts the following technical scheme A dynamic balance statistics and analysis platform applied to the water system of a thermal power plant comprises: A system management module for platform basic configuration, user permission management and system log record management; A basic management module for configuration and management of water using units, equipment information, monitoring points and system modules; A real-time monitoring module for real-time acquisition and monitoring of key water flow data and operating parameters of monitoring points in the water using subsystem of the water system; A balance monitoring module for monitoring the water balance of the water system and conducting real-time water consumption analysis to timely find water balance abnormalities and water waste; An intelligent early warning module for comparing the data monitored in real time, and automatically issuing early warning information if the data exceeds the preset threshold; A water consumption evaluation module for statistical current water consumption indicators and generating a historical indicator dynamic comparison chart to further obtain the current water consumption indicator evaluation; A statistical analysis module for multi-time dimension report generation and trend analysis, generating production reports according to the collected and statistical data, and comparing and analyzing the water consumption data with the historical water consumption data; Wherein, the data of each module is interconnected, the real-time monitoring module and the balance monitoring module are connected with the intelligent early warning module, the real-time monitoring module, the balance monitoring module, the intelligent early warning module and the water consumption evaluation module are connected with the statistical analysis module, and the real-time monitoring module, the balance monitoring module, the intelligent early warning module, the water consumption evaluation module, the statistical analysis module and the basic management module are connected with the system management module.

[0006] Preferably, the system management module includes: User management is used to manage user accounts logged into the platform, including account configuration data management and account permission management. Account configuration data management includes creating, logging in, modifying, and deleting accounts. Account permission management assigns different operation permissions according to the user's responsibilities and needs. System configuration is used to configure various parameters of the platform, including but not limited to setting the data acquisition frequency, communication protocol and interface parameters, so as to realize data communication between internal modules and data interaction with external devices; System logs are used to record all operation logs of the platform, including but not limited to user login and logout times, operation content, and data modification records, so as to facilitate the auditing and tracing of the platform's operation and to promptly identify and resolve potential problems; Security management is used to take security measures to ensure the platform's data security and system stability. Security measures include, but are not limited to, user authentication, data encryption, and access control to prevent unauthorized user intrusion and data leakage.

[0007] Preferably, the basic management module includes: The water use unit is used to manage all water use subsystems within the water system in a unified manner. This includes registering and maintaining the basic information of each subsystem, including but not limited to the subsystem's name, function, water source type, and water-using equipment. Water use subsystems include, but are not limited to, pre-treated raw water subsystem, unit demineralized water subsystem, industrial water subsystem, desulfurization water subsystem, dehumidification water subsystem, coal-containing wastewater subsystem, domestic water subsystem, domestic sewage subsystem, and circulating water subsystem, so as to facilitate a comprehensive understanding and management of the water use of the entire water system. Equipment management is used to manage various devices managed by the platform, including but not limited to registering basic equipment information, monitoring equipment operating status, and recording equipment maintenance, to ensure the normal operation of equipment and improve equipment reliability and service life; Module management is used to configure and manage the various functional modules of the platform, including but not limited to enabling or disabling modules, setting module parameters, adjusting the running order of modules, and adding new modules to meet the actual needs of different power plants. Basic configuration is used to configure the platform's basic information, including but not limited to the power plant's name, address, contact information, and water system process flow, providing basic data support for the platform's operation.

[0008] Preferably, the real-time monitoring module includes: Flow data is used to collect water flow data of each water subsystem in the water system in real time, including influent flow and effluent flow. It is monitored in real time by flow meters installed on the pipeline to accurately obtain the volumetric flow rate or mass flow rate information of the water. Water quality data is used to monitor the water quality in the water system. Water quality indicators include, but are not limited to, pH value, conductivity, dissolved oxygen, turbidity and heavy metal content. Water quality data is acquired in real time through a water quality analyzer so as to understand the changes in water quality in a timely manner. Water pressure data is used to monitor the water pressure in various parts of the water system. Water pressure data is collected in real time through pressure sensors to ensure that the water pressure of the water system is stable within the normal range and to ensure the normal operation of the water system. Water temperature data is used to monitor changes in water temperature in the water system in real time. Water temperature data is obtained through temperature sensors because changes in water temperature affect the operating efficiency of the water system and the performance of the equipment. Water level data is used to monitor the water level of water storage equipment in the water system. Water level sensors are used to monitor the water level in real time to prevent excessively high or low water levels from affecting the water system.

[0009] Preferably, the balance monitoring module includes: The overall plant balance is used to comprehensively analyze the water flow data of each water subsystem to calculate the total water intake, water consumption, drainage, reuse and recycling water consumption of the entire plant, and monitor the water balance of the water system from the perspective of the entire plant to ensure the balance of water supply and demand of the entire plant. Subsystem balancing is used to monitor the water balance of each subsystem in a water system. It calculates the water intake, water consumption, drainage, reuse and recycling water consumption, and water consumption of each subsystem, analyzes the water use relationship and balance between subsystems, and promptly identifies potential water waste or shortage problems in the subsystems. Historical balance is used to store and analyze historical water balance data of a water system. By comparing it with current water balance data, it helps to understand the trend of water system balance changes and provides historical data support for the optimized management of the water system. Water consumption analysis is used to analyze the water consumption of a water system, to statistically analyze and rank the water consumption of each water-using subsystem, to analyze the main causes and links of water consumption, and to provide a basis for the formulation of water-saving measures.

[0010] Preferably, the intelligent early warning module includes: Real-time monitoring is used to monitor water system data in real time, including but not limited to flow rate, water quality, water pressure, water temperature and water level data, as well as water balance data, including but not limited to water consumption and reuse rate, to ensure that the operating status information of the water system can be obtained in a timely manner. Anomaly alerts are used to compare real-time monitored data with preset thresholds. If the data exceeds the preset threshold, an alert is automatically issued. The alert is sent to relevant management personnel through various means, including SMS, email, and audible and visual alarms, so that timely measures can be taken to handle the situation.

[0011] Preferably, the water use assessment module includes: Water use indicators are used to statistically analyze current water use metrics, including but not limited to water consumption per unit of electricity generation, reuse rate, and wastewater discharge rate. By statistically analyzing these indicators, we can understand the water use efficiency and water resource utilization of the water system. Historical comparison is used to generate dynamic comparison charts of historical indicators, comparing the current water consumption indicators with historical data from the same period to visually display the changing trends of water consumption indicators, so as to promptly detect abnormal changes in water consumption indicators. Indicator evaluation is used to determine the current water use index rating based on statistical results and historical comparisons, including excellent, good, qualified, or unqualified, providing a reference for water system management and optimization.

[0012] Preferably, the statistical analysis module includes: Production reports are used to generate reports based on collected data. These reports include, but are not limited to, real-time dynamic balance statistics, daily statistics, monthly statistics, and annual statistics. The report content can be customized according to user needs and supports automatic unit conversion, making it convenient for users to view and analyze water usage data. Trend analysis is used to analyze water usage data by creating visual charts to analyze the changing trends of water usage data, including but not limited to the growth trend of water consumption and the changing trend of reuse rate. Visual charts include but are not limited to trend charts, bar charts, line charts, pie charts, indicator cards, histograms, dashboard charts and bar graphs, providing a reference for the future development planning of water systems. Historical query provides a function to query historical water use data. Users can query according to the query conditions, including but not limited to time range, water use subsystem and indicator type, so as to facilitate users to review and analyze historical data and provide data support for water system management and decision-making.

[0013] Preferably, the data statistics method in the report is as follows: (1) The real-time dynamic balance statistics table updates data hourly, and the calculation formula is as follows: 1) Water consumption = Water intake + Water reused - Sum of flow rates at each outlet; 2) Reuse rate = (Reused water volume + Circulating water volume) / (Reused water volume + Circulating water volume + Water intake volume) × 100%; (2) Daily, monthly and yearly statistical tables are generated by accumulating real-time data and support automatic unit conversion.

[0014] Preferably, it also includes a homepage, which displays real-time monitoring data in a visual chart format.

[0015] Preferably, the dynamic balance statistics and analysis platform applied to the water system of thermal power plants has a reserved data interface that can be connected to, but is not limited to, power plant FCS and SIS management systems to achieve data sharing.

[0016] Preferably, the dynamic balance statistics and analysis platform for thermal power plant water systems is also developed with a mobile application, allowing managers to view the water system status in real time via mobile phone or tablet, thereby improving emergency response capabilities.

[0017] The beneficial effects of this invention are: 1. Achieve dynamic monitoring of the entire process and all elements to improve management. Covers all water-using subsystems, ensuring unified management of data across all water systems. Employs automated data acquisition technology, updating data hourly to avoid the lag caused by manual recording. Accurately calculates key parameters such as water intake, reused water volume, circulating water volume, consumed water volume, and discharged water volume to ensure data integrity.

[0018] 2. Improve the accuracy and timeliness of water balance statistics. Automatic calculation and verification: The system's built-in balance formula automatically calculates data, reducing errors from manual calculations. Multi-time-dimensional statistics: Supports data aggregation at different time scales, including real-time, daily, monthly, and yearly, facilitating use by different management levels. Abnormal data alerts: When the balance deviation exceeds a set threshold (e.g., an abnormal increase in discharge rate), the system automatically alarms, helping maintenance personnel quickly locate the problem.

[0019] 3. Optimize water resource utilization and reduce water consumption costs. Accurately calculate reuse rates to quantify water resource recycling efficiency. Analyze water-saving potential by comparing historical data to identify abnormal or wasteful water use processes and guide water-saving renovations. Reduce emissions by optimizing dynamic balance to decrease ineffective drainage, increase wastewater reuse rates, and reduce environmental treatment costs.

[0020] 4. Provide intelligent decision support for power plant water resource management. Data visualization, through trend charts, water balance diagrams, and dashboards, intuitively displays data, facilitating managers to quickly grasp the operational status of the entire plant's water system. Automatic report generation supports standardized daily, monthly, and annual report output, reducing the workload of manual data processing. Multi-system collaborative optimization analyzes the water usage relationships between different subsystems, optimizing overall water resource allocation.

[0021] 5. Modular design, highly adaptable, and easy to promote. Flexible configuration allows for adjustments to monitoring points and calculation models based on the scale of different power plants and the characteristics of their water systems, without requiring large-scale modifications. Highly scalable, with reserved data interfaces for integration with power plant FCS, SIS, and other management systems, enabling data sharing. Mobile support allows managers to view water system status in real time via mobile phones or tablets, improving emergency response capabilities.

[0022] 6. Enhanced economic and environmental benefits. Reduced operating costs: Optimized water use reduces water intake and wastewater treatment costs, potentially lowering water system operating costs by 5%–15%. Reduced environmental risks: Precise control of wastewater discharge avoids exceeding emission standards and reduces the risk of environmental penalties. Compliance with policy requirements: Meets national standards such as the "Energy Balance Guidelines for Thermal Power Plants Part 5: Water Balance Test," contributing to the green and low-carbon development of power plants. Attached Figure Description

[0023] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Fig. 1 This is a system architecture diagram of the present invention; Fig. 2 This is an embodiment of the real-time dynamic water balance statistics table of the present invention; Fig. 3 This is an example of a water balance statistics table (daily table) of the present invention. Detailed Implementation

[0025] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] like Figs. 1-3As shown, a dynamic balance statistics and analysis platform for water systems in thermal power plants includes a system management module, a basic management module, a real-time monitoring module, a balance monitoring module, an intelligent early warning module, a water use evaluation module, and a statistical analysis module. These modules interact with each other via data interfaces. The real-time monitoring module and the balance monitoring module are connected to the intelligent early warning module, transmitting collected and processed data to provide data support. The real-time monitoring module, balance monitoring module, intelligent early warning module, and water use evaluation module are all connected to the statistical analysis module, transmitting their respective operational data and analysis results for comprehensive statistical and in-depth analysis. Finally, the real-time monitoring module, balance monitoring module, intelligent early warning module, water use evaluation module, statistical analysis module, and basic management module are all connected to the system management module, which provides unified configuration and management for the operation of each module.

[0027] The specific functions of each module are as follows: The system management module is used to configure and manage the operation of the entire platform, ensuring its stable and secure operation. It includes user management, system configuration, system logs, and security management.

[0028] (1) User management is used to manage user accounts that log in to the platform throughout their entire lifecycle, including but not limited to account configuration data management and account permission management. Among them, account configuration data management can realize the creation, modification, and cancellation of user accounts, as well as the entry and update of basic user information (such as name, department, contact information, etc.); account permission management is based on a role-based access control mechanism, which assigns different operation permissions to different roles (such as system administrators, maintenance personnel, data analysts, management, etc.). For example, system administrators have operation permissions for all functions of the platform, while maintenance personnel only have device management and real-time monitoring data viewing permissions, ensuring platform data security and operational standards.

[0029] (2) System configuration is used to configure the core operating parameters of the platform to adapt to the scale and operating requirements of different thermal power plant water systems. Specifically, it includes data acquisition frequency configuration (such as setting the acquisition interval of data such as flow rate, water quality, and water pressure, which can be flexibly adjusted from the second level to the minute level), communication protocol configuration (supporting mainstream industrial communication protocols such as Modbus, OPCUA, and MQTT to realize data interaction with field sensors, PLCs, DCS and other devices), interface parameter configuration (configuring the data interface parameters with the power plant's existing FCS, SIS and other management systems to ensure smooth data sharing), and initial configuration of early warning thresholds (providing a basic threshold reference range for the intelligent early warning module, such as setting the normal threshold range for different water quality indicators, the early warning threshold for flow fluctuations, etc.).

[0030] (3) The system log is used to comprehensively record all operations and operational status information of the platform, forming an immutable system log. The log content includes user login logs (login time, login account, login IP address, login status, etc.), operation logs (operation time, operator, operation module, operation content, operation result, etc.), data change logs (data modification time, data before modification, data after modification, modifier, etc.), and system operation logs (platform start / stop time, module operation status, data acquisition status, abnormal error information, etc.). The system log supports querying and exporting by time range, log type, operator, and other conditions, which facilitates the management personnel to audit, trace, and troubleshoot the platform operation.

[0031] (4) Security management is used to ensure the data security and system stability of the platform and prevent unauthorized access, data leakage and malicious attacks. Specific measures include user authentication (using multiple authentication methods such as username and password authentication, SMS verification code authentication, USBKey authentication, etc., supporting two-factor authentication to improve the security of identity authentication), data encryption (encrypting the data transmitted and stored on the platform, using SSL / TLS encryption protocol for transmitted data and AES-256 encryption algorithm for stored data to ensure the security of data during transmission and storage), access control (access restrictions based on IP address, allowing the setting of IP address ranges that can access the platform and prohibiting access from illegal IP addresses), and virus protection and intrusion detection (integrating industrial firewalls and intrusion detection systems (IDS) to monitor the network access behavior of the platform in real time and promptly intercept and alarm malicious attacks, virus intrusions and other behaviors).

[0032] The basic management module is used to configure and manage the basic information of the equipment and modules managed by the platform, providing basic data support for the normal operation of the platform. It includes water use units, equipment management, module management and basic configuration.

[0033] (1) The water use unit is used to uniformly manage all water use subsystems within the water system of the thermal power plant, and to realize the information-based filing of each water use subsystem. The water use subsystems managed include, but are not limited to, the pre-treatment raw water subsystem, the unit demineralized water subsystem, the industrial water subsystem, the desulfurization water subsystem, the dehumidification water subsystem, the coal-containing wastewater subsystem, the domestic water subsystem, the domestic sewage subsystem, and the circulating water subsystem. This unit can realize the input, modification, query, and deletion of basic information of each water use subsystem (such as subsystem name, plant area, construction time, design treatment capacity, water source type, water use scenario, associated equipment, etc.), and also supports marking the operating status of each subsystem (such as normal operation, maintenance, fault shutdown, etc.), so as to facilitate the managers to fully grasp the basic situation of each water use subsystem.

[0034] (2) Equipment Management: This is used to manage all field equipment managed by the platform throughout its entire lifecycle, including sensors (such as flow sensors, water quality sensors, water pressure sensors, water temperature sensors, water level sensors, etc.), data acquisition devices, PLC controllers, valves, water pumps, and other equipment. Specific functions include basic equipment information management (entry and maintenance of information such as equipment name, model, manufacturer, installation location, installation time, rated parameters, calibration cycle, etc.), equipment operation status monitoring (real-time acquisition of equipment operation parameters, such as sensor data, pump operating current and speed, valve opening and closing status, etc., to determine whether the equipment is operating normally), equipment maintenance management (formulation of equipment maintenance plans, recording of equipment maintenance records, including maintenance time, maintenance content, maintenance personnel, replacement parts, etc., to remind managers to perform equipment maintenance and calibration on time), and equipment fault management (recording equipment fault information, such as fault occurrence time, fault phenomenon, fault cause, handling measures, handling results, etc., to form an equipment fault knowledge base for reference in subsequent fault handling).

[0035] (3) Module management is used to configure and manage the various functional modules of the platform, and to enable and disable modules flexibly to adapt to the personalized needs of different thermal power plants. Specific functions include module status management (viewing the current operating status of each functional module, such as enabled, disabled, abnormal, etc., supporting enabling or disabling of modules, for example, for thermal power plants that do not involve desulfurization wastewater subsystem, the monitoring function related to desulfurization wastewater in the balance monitoring module can be disabled), module parameter configuration (configuring the specific parameters of each functional module, such as the display unit and data accuracy of each monitoring parameter in the real-time monitoring module, the generation format and content of reports in the statistical analysis module, etc.), and module dependency management (identifying the dependency relationship between modules, and automatically prompting the situation that the module is depended on by other modules when a module is disabled, avoiding platform function abnormalities due to module disabling).

[0036] (4) Basic configuration is used to configure the basic information of the thermal power plant and water system, providing basic environmental parameters for the operation of the platform. This includes, but is not limited to, the configuration of basic power plant information (entering information such as power plant name, parent group, geographical location, installed capacity, commissioning time, and contact information), water system process flow configuration (drawing a schematic diagram of the thermal power plant's water system process through a graphical interface, marking the connection relationships between subsystems, water flow direction, and the location of key equipment, visually displaying the overall structure of the water system), and unit of measurement configuration (configuring commonly used units of measurement in the platform, such as flow rate units (m³)). 3Units such as / h, t / h, water quality units (mg / L, pH value), pressure units (MPa, kPa), and temperature units (°C) are supported, and custom addition and modification of units are also supported. Data storage configuration (configure the storage method and storage period of platform data, such as short-term storage of real-time data (storage period can be configured to 1 month) and long-term storage of historical statistical data (storage period can be configured to 5-10 years), and support automatic backup and archiving of data to prevent data loss).

[0037] The real-time monitoring module is used to collect and monitor key water flow data and operating parameters of all water-using subsystems in the water system of a thermal power plant in real time, so as to realize real-time control of the operating status of the water system. It includes flow data monitoring, water quality data monitoring, water pressure data monitoring, water temperature data monitoring, and water level data monitoring.

[0038] (1) Flow data is used to collect inflow and outflow data of each water subsystem in the water system in real time. Through flow sensors (such as electromagnetic flow meters, ultrasonic flow meters, etc.) deployed on the pipelines of each subsystem, the volumetric flow rate or mass flow rate information of the water flow is obtained in real time, and the collected data is transmitted to the platform according to the acquisition frequency configured by the system. This submodule can display the instantaneous flow rate and cumulative flow rate data of each subsystem in real time, support querying the flow data change by subsystem, time period and other conditions, and intuitively display the flow change trend in the form of curves, bar charts and other forms. At the same time, the validity of the flow data is verified (such as judging whether the flow data exceeds the rated range of the equipment, whether there is abnormal fluctuation, etc.), and invalid data is marked and alarmed.

[0039] (2) Water quality data is used to monitor the water quality status of each water-using subsystem in the water system in real time, ensuring that the water quality meets production and environmental protection requirements. This submodule collects key water quality indicators in real time through water quality sensors and online water quality analyzers, including indicators such as pH value, conductivity, dissolved oxygen (DO), turbidity, suspended solids (SS), chemical oxygen demand (COD), ammonia nitrogen content, and heavy metal content (such as mercury, cadmium, chromium, etc.). After the collected water quality data is transmitted to the platform in real time, this submodule can display and analyze the water quality data in real time, determine whether the water quality indicators are within the preset normal range, and trigger an early warning signal in a timely manner when the water quality indicators exceed the standard, and record information such as the time of water quality exceeding the standard, the exceeding indicator, and the exceeding value, so as to facilitate the timely handling measures taken by the management personnel.

[0040] (3) Water pressure data is used to monitor the water pressure of key parts such as pipes, water tanks, and pools in the water system in real time, ensuring that the water pressure of the water system is stable within the normal operating range, and avoiding pipe rupture due to excessive water pressure or water demand being affected by excessively low water pressure. This submodule collects water pressure data (including static water pressure and dynamic water pressure) in real time by installing pressure sensors at key parts, transmits the data to the platform in real time, and displays the water pressure values ​​of each monitoring point in real time. It supports querying water pressure changes by monitoring point and time period, drawing water pressure change trend charts, and setting upper and lower water pressure thresholds. When the water pressure exceeds the threshold range, it issues an early warning message in time to remind managers to adjust the water pump operation status or check whether there are leaks in the pipeline.

[0041] (4) Water temperature data is used to monitor the water temperature changes of each water subsystem in the water system in real time. This is because water temperature not only affects the physical and chemical properties of water (such as density, viscosity, solubility, etc.), but also the operating efficiency of equipment (such as the cooling effect of cooling equipment) and water quality (such as the possibility of algae growth due to increased water temperature). This submodule collects water temperature data of each subsystem in real time through temperature sensors, such as the inlet temperature of circulating water, the outlet temperature of circulating water, and the temperature of demineralized water, and transmits the data to the platform in real time. It also displays the water temperature values ​​of each monitoring point in real time, supports querying water temperature changes by monitoring point and time period, and draws water temperature change trend charts. At the same time, it sets the normal water temperature threshold range according to the operating requirements of different subsystems. When the water temperature exceeds the threshold, it issues an early warning in time to help managers take adjustment measures (such as adjusting the operating status of the cooling tower, increasing the cooling water supply, etc.).

[0042] (5) Water level data is used to monitor the water level of water tanks, pools, and reservoirs in the water system of thermal power plants in real time, preventing water waste due to excessively high water levels or equipment damage due to excessively low water levels. This submodule collects water level data of the water storage equipment in real time through water level sensors (such as float-type water level sensors, ultrasonic water level sensors, radar water level sensors, etc.), including the current water level height and water level percentage (relative to the rated volume of the equipment), and transmits the data to the platform in real time. It also displays the water level status of each water storage equipment in real time, supports querying water level changes by equipment and time period, draws water level change trend charts, and sets upper and lower limit alarm thresholds for water levels (such as high water level alarm threshold and low water level alarm threshold). When the water level reaches the alarm threshold, it issues a warning message in time to remind the management personnel to replenish or drain water in time to ensure that the water level of the water storage equipment is stable within a safe range.

[0043] The balance monitoring module is used to monitor and analyze the water balance status of the water system in thermal power plants in real time, and to perform real-time water consumption analysis to promptly detect water balance anomalies and water waste. It includes overall plant balance, subsystem balance, historical balance, and water consumption analysis.

[0044] (1) Plant-wide water balance is used to perform real-time statistics and calculations on key parameters such as water intake, water consumption of each subsystem, recycled water consumption, series reuse water consumption, water consumption, and discharge from the overall perspective of the water system of the thermal power plant. This enables real-time monitoring of the plant's water balance status. Based on the flow data of each subsystem collected by the real-time monitoring module, this submodule combines the preset water balance calculation formula (such as water consumption = water intake + series reuse water consumption - sum of flow rates of each outlet) to calculate the plant's water balance status in real time and determine whether the input and output of the plant's water resources are balanced. At the same time, the flow path and quantity distribution of the plant's water resources (such as raw water intake, water consumption of each subsystem, recycled reuse, and discharge) are displayed intuitively in the form of a water balance diagram. When the plant's water balance deviates (such as the difference between input and output exceeding the preset allowable range), an early warning is issued in a timely manner to remind management personnel to check for problems such as pipeline leaks and abnormal data acquisition.

[0045] (2) Subsystem Balancing: For each subsystem in the thermal power plant's water system (such as the raw water pretreatment subsystem, demineralized water subsystem, industrial water subsystem, etc.), a subsystem water balance model is constructed to achieve real-time monitoring of the water balance status of each subsystem. This submodule calculates the water balance status of each subsystem in real time based on the data such as influent flow rate, effluent flow rate, recycled water volume, and water consumption of the corresponding subsystem collected by the real-time monitoring module, combined with the specific water balance calculation formula of the subsystem, and judges whether the input and output of water resources within the subsystem are balanced. For example, for the circulating water subsystem, the water balance calculation can consider parameters such as circulating water replenishment volume, circulating water evaporation loss, circulating water discharge volume, and circulating water reuse volume; for the desulfurization water subsystem, parameters such as desulfurization replenishment volume, desulfurization wastewater discharge volume, and desulfurization water reuse volume can be considered. This submodule can display the water balance data and balance status of each subsystem in real time. When the water balance of a certain subsystem is abnormal, an early warning is issued in time to help managers quickly locate problems within the subsystem (such as pipeline leaks, abnormal water consumption of equipment, etc.).

[0046] (3) Historical balance is used to store, query, and analyze historical water balance data of the thermal power plant's water system. By comparing it with the current water balance data, the changing trend of the water balance status can be grasped, providing historical data support for the optimized management of the water system. This submodule stores the real-time water balance data of the entire plant and each subsystem according to the time dimension (such as hour, day, month, year) to form a historical water balance database. It supports searching and viewing by time range (such as a certain day, a certain month, a certain year) and balance type (whole plant balance, balance of a certain subsystem).

[0047] (4) Water consumption analysis is used to conduct a detailed analysis of the water consumption of the water system, to statistically analyze and rank the water consumption of each water-using subsystem, to deeply analyze the main causes and key links of water consumption, to provide an accurate basis for formulating effective water-saving measures, to reduce the waste of water resources, and to improve the utilization efficiency of water resources.

[0048] The intelligent early warning module is used to promptly detect abnormalities in the operation of the water system and issue early warnings based on real-time monitored data. It includes real-time monitoring and abnormal warning.

[0049] (1) Real-time monitoring is used to monitor various data of the water system in real time, including flow rate, water quality, water pressure, water temperature and water level data, as well as water balance data (such as water consumption and reuse rate), to ensure that the operating status information of the water system can be obtained in a timely and comprehensive manner, and to provide a data basis for subsequent anomaly judgment and early warning.

[0050] (2) Anomaly warning is used to automatically compare the real-time monitored data with preset thresholds. If the data exceeds the preset threshold, an early warning message will be automatically issued immediately. The early warning message is sent to relevant management personnel through various means, including SMS, email and audible and visual alarms, to ensure that management personnel can receive the early warning message in a timely manner and take corresponding measures to deal with it, so as to avoid the occurrence or escalation of the accident.

[0051] The water use assessment module is used to evaluate the water use of thermal power plant water systems, providing a reference for water system management and optimization. It includes three sub-modules: water use indicators, historical comparisons, and indicator evaluation.

[0052] (1) Water use indicators are used to statistically analyze current water use indicators, including but not limited to water consumption per unit of power generation, reuse rate and wastewater discharge rate. By statistically analyzing these indicators, we can clearly understand the water use efficiency and water resource utilization of the water system, and provide data support for subsequent water use evaluation.

[0053] (2) Historical comparison is used to generate dynamic comparison charts of historical indicators, which visually compare the current water consumption indicators with the data from the same period in history. Through the comparison charts, managers can clearly see the changing trends of water consumption indicators, promptly identify abnormal changes in water consumption indicators, analyze the causes of changes, and provide direction for the management and optimization of the water system.

[0054] (3) The indicator evaluation is used to comprehensively evaluate the current water use indicators based on the statistical results and historical comparisons. The evaluation results are divided into four levels: excellent, good, qualified, or unqualified. The evaluation results provide a clear reference for the management and optimization of the water system. Managers can take corresponding measures based on the evaluation results to further improve the water use efficiency and management level of the water system.

[0055] The statistical analysis module is used to collect and analyze relevant data from the water system, providing support for management decisions and future development planning of the thermal power plant's water system. It includes three sub-modules: production reports, trend analysis, and historical queries.

[0056] (1) Production reports are used to generate various types of reports based on the collected water system data. The report types include real-time dynamic balance statistics, daily statistics, monthly statistics, and annual statistics. The report content can be flexibly customized according to the user's needs, and automatic unit conversion is supported, which makes it convenient for users to view, analyze and summarize water use data, and provides convenience for daily management work.

[0057] (2) Trend analysis is used to conduct in-depth trend analysis of water use data. By drawing various visualization charts, the changing trends of water use data can be clearly displayed. These visualization charts include trend charts, bar charts, line charts, pie charts, indicator cards, histograms, dashboard charts and bar graphs, which can intuitively present key information such as the growth trend of water consumption and the changing trend of reuse rate, and provide a scientific reference for the future development planning of water systems.

[0058] (3) Historical query is used to provide the function of querying historical water use data. Users can set query conditions according to their own needs. The query conditions include, but are not limited to, time range, water use subsystem and indicator type. The query function makes it convenient for users to review and analyze historical data, mine useful information in historical data, provide data support for water system management decisions, help managers summarize experience and optimize the operation and management of water system.

[0059] Example 1. When applying this platform in a thermal power plant, user accounts are first set up through the user management function in the system management module. Accounts are created for staff responsible for water system operation monitoring, and based on their responsibilities, they are assigned permissions to view real-time monitoring module data and operate functions related to operation monitoring. Accounts are created for managers responsible for water system optimization decisions, granting them permissions to view all module data and perform decision-making-related operations such as water use evaluation and statistical analysis. When new employees join or employee positions change, accounts can be created, modified, or permissions adjusted through the user management function. 2. High-precision flow meters are installed on the water system pipelines to collect real-time influent and effluent flow data from each water subsystem and transmit the data to the real-time monitoring module. Simultaneously, water quality analyzers, pressure sensors, temperature sensors, and water level sensors are installed at key locations in the water system to monitor water quality, water pressure, water temperature, and water level in real time. The real-time monitoring module uses the water quality analyzer to obtain real-time data showing that the pH value of the demineralized water from a certain unit is 7.5, conductivity is 5 μS / cm, dissolved oxygen content is 2 mg / L, turbidity is 0.5 NTU, and heavy metal content is within the standard range, indicating that the demineralized water quality of the unit is normal. The pressure sensor monitors that the water pressure in a certain area's industrial water pipeline is 0.4 MPa, within the normal pressure range. The temperature sensor monitors that the circulating water temperature is 30℃, which is suitable. The water level sensor monitors that the water level in the storage tank is within the normal range. This real-time monitoring data provides basic data support for subsequent balance monitoring, intelligent early warning, and other modules. 3. The water system of the thermal power plant is monitored for water balance using a balance monitoring module. During a specific time period, comprehensive analysis of water flow data from each water-using subsystem yields the following calculations: total water intake is 1000 cubic meters, water consumption is 800 cubic meters, wastewater discharge is 200 cubic meters, reused water is 100 cubic meters, and water consumption is 100 cubic meters. This provides a clear understanding of the plant's water supply and demand balance. Simultaneously, subsystem balance monitoring of each subsystem reveals that the desulfurization water-using subsystem has a relatively high water intake and consumption. Further analysis suggests this may be due to excessive spray water volume from the desulfurization equipment, leading to water waste. To address this issue, corresponding optimization measures can be implemented, such as adjusting the spray water volume to improve the utilization efficiency of desulfurization water. 4. The intelligent early warning module receives data from the real-time monitoring module and the balance monitoring module in real time and compares it with preset thresholds. When the real-time monitoring module detects that the heavy metal content in the water of a certain water subsystem exceeds the preset threshold, the intelligent early warning module immediately and automatically issues an early warning message, sending it to relevant management personnel via SMS and alerting on-duty personnel with an audible and visual alarm on the platform interface. After receiving the early warning message, management personnel take timely measures to treat the water quality and avoid affecting the normal operation of the water system due to water quality problems; 5. The water use assessment module statistically analyzes the current water use indicators of the thermal power plant, such as water consumption per unit of power generation of 3 cubic meters / 10,000 kWh, a reuse rate of 80%, and a wastewater discharge rate of 5%. Through historical comparison, a dynamic comparison chart of historical indicators is generated, revealing that compared to the same period last year, water consumption per unit of power generation has increased, while the reuse rate has slightly decreased. Based on the statistical results and historical comparisons of the water use indicators, a comprehensive evaluation of the current water use indicators is conducted, concluding that the evaluation result is satisfactory, but there is room for further optimization. Based on this evaluation result, the thermal power plant can formulate corresponding water use optimization plans, such as strengthening equipment maintenance, reducing leakage, and improving the reuse rate of water resources, in order to improve the water system's water use efficiency and management level. 6. The statistical analysis module generates various reports based on the collected water system data. It generates a real-time dynamic balance statistical table, displaying the water flow data and water balance status of each water-using subsystem in real time; it generates daily statistical tables, summarizing daily data on the plant's water intake, water consumption, and wastewater discharge; and it generates monthly and annual statistical tables, summarizing and analyzing monthly and annual water consumption data. Through trend analysis, it generates visual charts such as water consumption growth trend graphs and reuse rate change trend graphs, revealing that as the scale of thermal power plant production expands, water consumption shows a year-on-year increasing trend, but through a series of water-saving measures, the reuse rate is also gradually improving. Through the historical query function, managers can easily query the water consumption data of a specific water-using subsystem within a specific time period over the past year, providing data support for water system management decisions, such as developing reasonable water use plans based on historical data and optimizing the operation and management of the water system.

[0060] The dynamic balance statistical analysis platform for water systems in thermal power plants proposed in this application has the following technical advantages: Improve management efficiency: Through automated data collection and real-time monitoring, dynamic monitoring of the entire process and all elements of the water system of thermal power plants is realized, which greatly improves the management efficiency of the water system, reduces manual intervention, and lowers management costs; Optimize water resource utilization: By accurately calculating the reuse rate of water resources and deeply analyzing water-saving potential, it is possible to effectively identify abnormal or wasteful water use, thereby guiding water-saving renovations, optimizing water resource utilization, reducing water consumption costs, and improving water resource utilization efficiency. Ensuring stable system operation: Real-time monitoring and intelligent early warning functions can promptly detect abnormalities in the water system, take measures in advance to handle them, ensure the stable operation of the water system, and reduce the impact of water system failures on unit operation; Helping to meet environmental standards: Precisely controlling the amount of water discharged avoids exceeding the discharge standards and reduces the risk of environmental penalties. At the same time, by increasing the wastewater reuse rate, wastewater discharge is reduced, which complies with the national environmental protection policy requirements and helps the power plant achieve green and low-carbon development. Provides decision support: Rich data statistical analysis functions and intuitive data visualization display provide scientific decision support for water resource management in power plants, helping managers to quickly grasp the operating status of the water system and formulate reasonable management strategies and optimization plans.

[0061] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0062] Finally, it should be noted that the preferred embodiments of the present invention disclosed above are merely for illustrating the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Obviously, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A dynamic balance statistics and analysis platform applied to a water system of a thermal power plant, characterized in that, It comprises: System management module for platform basic configuration, user permission management and system log management; Basic management module for configuration and management of water using unit, equipment information, monitoring point and system module; Real-time monitoring module for real-time collection and monitoring of key water flow data and operating parameters of monitoring points in water using subsystem of water system; Balance monitoring module for monitoring water balance of water system, and conducting real-time water consumption analysis to timely find water balance abnormalities and water waste; Intelligent early warning module for comparing real-time monitored data, and automatically issuing early warning information if the data exceeds the preset threshold; Water consumption evaluation module for calculating current water consumption indicators and generating historical indicator dynamic comparison chart to obtain current water consumption indicator evaluation; Statistical analysis module for multi-time dimension report generation and trend analysis, generating production report according to collected and statistical data, and comparing and analyzing water consumption data with historical water consumption data; Wherein, the data between each module is interchanged, the real-time monitoring module and the balance monitoring module are connected with the intelligent early warning module, the real-time monitoring module, the balance monitoring module, the intelligent early warning module and the water consumption evaluation module are connected with the statistical analysis module, and the real-time monitoring module, the balance monitoring module, the intelligent early warning module, the water consumption evaluation module, the statistical analysis module and the basic management module are connected with the system management module.

2. The dynamic balance statistics and analysis platform applied to the water system of a thermal power plant according to claim 1, characterized in that, The system management module comprises: User management for managing user accounts logged into the platform, including account configuration data management and account permission management, account configuration data management including new, login, modification and deletion, account permission management, account permission management assigning different operation permissions according to user responsibilities and needs; System configuration for configuring various parameters of the platform, including but not limited to setting data collection frequency, communication protocol and interface parameters, realizing data intercommunication between internal modules and data interaction with external devices; System log for recording all operation logs of the platform, including but not limited to user login and logout time, operation content and data modification record, so as to audit and trace the running situation of the platform, and timely find and solve possible problems; Security management for taking security measures to ensure data security and system stability of the platform, security measures including but not limited to user identity authentication, data encryption and access control to prevent illegal user intrusion and data leakage.

3. The dynamic balance statistics and analysis platform applied to the water system of a thermal power plant according to claim 1, characterized in that, The basic management module comprises: Water using unit for unified management of all water using subsystems in the water system, including registration and maintenance of basic information of each subsystem, including but not limited to name, function, water source type and water using equipment of the subsystem, water using subsystems including but not limited to pretreated raw water subsystem, unit desalination water subsystem, industrial water subsystem, desulfurization water subsystem, dehumidification water subsystem, coal-containing wastewater subsystem, domestic water subsystem, domestic sewage subsystem and circulating water subsystem, so as to comprehensively understand and manage the water using situation of the entire water system; Device management, for managing various devices managed by the platform, including but not limited to basic information registration of devices, operation state monitoring of devices and maintenance records of devices, to ensure normal operation of devices and improve reliability and service life of devices; Module management, for configuring and managing various functional modules of the platform, including but not limited to enabling or disabling modules, setting parameters of modules, adjusting running order of modules and adding new modules, to meet actual needs of different power plants; Basic configuration, for configuring basic information of the platform, including but not limited to name, address, contact information of the power plant and process flow of the water system, to provide basic data support for operation of the platform.

4. The dynamic balance statistics and analysis platform applied to the water system of a thermal power plant according to claim 1, characterized in that, The real-time monitoring module comprises: Flow data, for collecting flow data of water flow in each water-using subsystem of the water system in real time, including inlet flow and outlet flow, and acquiring volume flow or mass flow information of water flow in real time through a flow meter installed on a pipeline; Water quality data, for monitoring water quality in the water system, including but not limited to pH value, conductivity, dissolved oxygen, turbidity and heavy metal content, and acquiring water quality data in real time through a water quality analyzer, so as to understand changes in water quality in time; Water pressure data, for monitoring water pressure at each position in the water system, and acquiring water pressure data in real time through a pressure sensor, to ensure that water pressure of the water system is stable within a normal range and normal operation of the water system is ensured; Water temperature data, for monitoring changes in water temperature in the water system, and acquiring water temperature data through a temperature sensor, because changes in water temperature will affect operation efficiency of the water system and performance of equipment; Water level data, for monitoring water level of a water storage device in the water system, and acquiring high and low conditions of the water level in real time through a water level sensor, to prevent water level from being too high or too low to affect the water system.

5. The dynamic balance statistics and analysis platform applied to the water system of a thermal power plant according to claim 1, characterized in that, The balance monitoring module comprises: Plant balance, for monitoring water balance of the water system from the perspective of the whole plant by comprehensively analyzing water flow data of each water-using subsystem, calculating water intake, water consumption, drainage, reuse of serially used water and water consumption of the whole plant, and ensuring balance between supply and demand of water resources of the whole plant; Subsystem balance, for monitoring water balance of each subsystem in the water system, respectively calculating water intake, water consumption, drainage, reuse of serially used water and water consumption of each subsystem, analyzing water-using relationship and balance among the subsystems, and discovering possible water resource waste or shortage problems in the subsystems in time; Historical balance, for storing and analyzing historical water balance data of the water system, comparing with current water balance data, understanding balance change trend of the water system, and providing historical data support for optimized management of the water system; Water consumption analysis, for analyzing water consumption of the water system, counting and ranking water consumption of each water-using subsystem, analyzing main reasons and links of water consumption, and providing basis for formulating water-saving measures.

6. The dynamic balance statistics and analysis platform applied to the water system of a thermal power plant according to claim 1, characterized in that, The intelligent early warning module comprises: Real-time monitoring, for real-time monitoring of water system data, including but not limited to flow, water quality, water pressure, water temperature and water level data, and water balance data, including but not limited to water consumption and reuse rate, to ensure timely access to water system operation status information; Abnormal early warning, for comparing the real-time monitored data with the preset threshold value, if the data exceeds the preset threshold value, the early warning information is automatically sent to the relevant management personnel through multiple ways including SMS, email and sound and light alarm, so as to take timely measures for processing.

7. The dynamic balance statistics and analysis platform applied to the water system of a thermal power plant according to claim 1, characterized in that, The water consumption evaluation module comprises: Water consumption index, for statistical current water consumption index, including but not limited to unit power consumption, reuse rate and wastewater discharge rate, through the statistics and analysis of these indexes, the water consumption efficiency and water resource utilization of the water system are understood; Historical comparison, for generating historical index dynamic comparison chart, comparing the current water consumption index with the historical data of the same period, intuitively showing the change trend of water consumption index, so as to find the abnormal change of water consumption index in time; Index evaluation, for obtaining the current water consumption index evaluation according to the statistical results and historical comparison of water consumption index, including excellent, good, qualified or unqualified, providing reference for the management and optimization of water system.

8. The dynamic balance statistics and analysis platform applied to the water system of a thermal power plant according to claim 1, characterized in that, The statistical analysis module comprises: Production report, for generating report according to the collected data, including but not limited to real-time dynamic balance statistical table, daily statistical table, monthly statistical table and annual statistical table, the report content can be customized according to the user's demand, supporting unit automatic conversion, facilitating the user to view and analyze the water consumption data; Trend analysis, for trend analysis of water consumption data, through drawing visual chart, the change trend of water consumption data is analyzed, including but not limited to the growth trend of water consumption and the change trend of reuse rate, the visual chart includes but not limited to trend chart, column chart, line chart, pie chart, index card, histogram, dashboard chart and bar chart, providing reference for the future development planning of water system; History query, for providing historical water consumption data query function, users can query according to query conditions, including but not limited to time range, water consumption subsystem and index type, facilitating users to review and analyze historical data, providing data support for water system management and decision-making.

9. The dynamic balance statistics and analysis platform applied to the water system of a thermal power plant according to claim 8, characterized in that, Data statistical method in report: (1) Real-time dynamic balance statistical table updates data by hour, the calculation formula is as follows: 1) Water consumption = water intake + reuse water quantity - sum of each water outlet flow; 2) Reuse rate = (reuse water quantity + circulating water quantity) / (reuse water quantity + circulating water quantity + water intake) × 100%; (2) Daily, monthly and annual statistical tables are generated by accumulating real-time data, supporting unit automatic conversion.

10. The dynamic balance statistics and analysis platform applied to the water system of a thermal power plant according to claim 1, characterized in that, It also includes a home page, which displays real-time monitoring data in the form of visual chart.

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