Source, network, load and storage integrated intelligent heat supply management and control platform system

Abstract

The invention discloses a source-network-load-storage integrated intelligent heat supply management and control platform system. The system comprises a data interface, a unified big data platform, a three-dimensional space-time big data visualization platform and an intelligent heat supply center. The unified big data platform is used for unified management, sharing and collaboration of data; the three-dimensional space-time big data visualization platform is used for rendering city-level three-dimensional model data and visually displaying thermal production conditions, so that decision makers can master the full view of production operation; the intelligent heat supply center is used for realizing organic association, analysis and step-by-step drilling of data of each molecular system; according to the method, the full view of production operation can be mastered through one heat supply graph, visual monitoring, display, diagnosis, analysis and management and control of the whole system and the whole process of thermal production are achieved, and the problems of data islands, poor data quality, low data utilization efficiency and the like are solved.

Description

Technical Field

[0001] This invention relates to the field of multi-heat source heating technology, specifically to an integrated intelligent heating management and control platform system that combines heat source, grid, load, and storage. Background Technology

[0002] A multi-source heating system is a centralized heating system with two or more heat sources, whose main heating lines are interconnected or connected into a ring network. Multi-source network heating systems do not require valve separation. At the start of the heating season, the primary heat source is put into operation first. As the temperature changes and the primary heat source reaches full capacity, peak-shaving heat sources are added to supply heat in the network together with the primary heat source. In case of an emergency, the heat sources can serve as backups for each other. Multi-source network operation technology, through hydraulic analysis under various operating conditions, develops a rational scheduling plan for the heat sources and network of the multi-source heating system, making it the preferred technology for centralized heating systems in large towns.

[0003] However, the existing multi-heat source heating systems have the following problems: 1) The data of the existing centralized heating systems with two or more heat sources cannot be standardized and unified in terms of coding; 2) The networking of multiple heat sources cannot be visualized, is not intuitive enough, and cannot meet the visualization display of hydraulic simulation and accessibility simulation of the entire multi-level heating network; 3) There are also problems of data silos, poor data quality, and low data utilization efficiency. Summary of the Invention

[0004] The purpose of this invention is to provide an integrated intelligent heating management and control platform system that combines heat source, grid, load, and storage. It establishes a unified big data platform to achieve data integration and standardized, unified coding across business systems. A three-dimensional spatiotemporal big data visualization platform enables the visualization of heating center data and algorithms. A multi-source, network-wide one-click balancing system enables automated and intelligent control of multi-heat source interconnection, achieving optimized operation and scheduling of long-distance heating systems from power plants and gas-fired boilers, meeting economic and safe operation requirements. A geographic information system (GIS) modeling system enables digital twin modeling of the "heat source, grid, load, and storage" heating system based on a three-dimensional urban geographic information system. Furthermore, based on the unified big data platform and GIS system, an information management system for heating network equipment data, maintenance, and inspection can be built, allowing for a comprehensive view of production and operation through a single heating map. This enables visualized monitoring, display, diagnosis, analysis, and control of the entire heating production system, solving problems such as data silos, poor data quality, and low data utilization efficiency.

[0005] To achieve the above objectives, the present invention provides the following technical solution: an integrated intelligent heating management and control platform system comprising a data interface, a unified big data platform, a three-dimensional spatiotemporal big data visualization platform, and an intelligent heating center;

[0006] The data interfaces include at least the historical data interface of the monitoring system, the data interface of the charging system, the data interface of the customer service system, the data interface of the hydraulic analysis system, and the data interface of the secondary network unit valve heat meter system.

[0007] The unified big data platform is used for unified management, sharing, and collaboration of data;

[0008] The unified big data platform includes a data acquisition layer and a data storage layer;

[0009] The three-dimensional spatiotemporal big data visualization platform is used to render city-level three-dimensional model data and to visualize, display, diagnose, analyze and control the entire process of thermal power production. It combines the operation data of thermal power production with the city's three-dimensional base to realize the storage, analysis and dynamic playback of massive data, intuitively show the thermal power production situation, and allow decision-makers to grasp the whole picture of production operation.

[0010] The three-dimensional spatiotemporal big data visualization platform includes at least two-dimensional and three-dimensional rendering modules, a thermal facility and equipment model element display module, a thermal system vector data display module, a pipeline model module, and a customer service call module.

[0011] The intelligent heating center is used to display three-dimensional models of urban buildings, heating pipe networks, heating overview, operating parameters, heat source heating trends, weather forecasts, customer service dispatch statistics, room temperature monitoring distribution, video surveillance, and data of the entire heating production process, so as to realize the organic association, analysis and drill-down of data of each subsystem;

[0012] The intelligent heating center includes at least the following modules: a network-wide balance diagnostic screen module, a customer service call diagnostic screen module, a hydraulic analysis diagnostic screen module, an operation and billing diagnostic screen module, a leadership dashboard screen module, and an energy management screen module.

[0013] More preferably, the historical data interface of the monitoring system is used to be compatible with the existing historical data interface and real-time data interface of the monitoring system, and to import, clean and associate historical operation data of the heating network. When integrated with the monitoring system, it includes the synchronization and exchange of temperature, pressure, flow and heat operation parameters of the primary and secondary networks of the heat source and heat exchange station.

[0014] The data interface of the charging system is used to import, clean and associate historical and real-time data of the charging system; when integrated with the charging system, it includes timely updates of data on residential heat users, receivables and payables, arrears, heating outages and actual heating area.

[0015] The customer service system data interface is used to import, clean, and associate historical and real-time customer service data and work order historical and real-time data. When integrated with the customer service system, it includes real-time or timed synchronous collection of warranty information, complaint information, and work order information data.

[0016] The hydraulic analysis system data interface is used for data integration with the hydraulic analysis system, including the collection of heat source information, pipeline network information, pipe diameter, flow rate, pressure, specific friction, hydraulic operating parameters, heat exchange station information, hydraulic calculations, and hydraulic analysis results.

[0017] The data interface of the secondary network unit valve heat meter system is used to integrate with the household heat metering and monitoring system, import historical operating data of heat users, and obtain daily heat metering data in real time or at regular intervals, including heat user heat meter information, supply and return water temperature data and change curves, instantaneous flow and heat, and household valve opening data, so as to provide data support for the operation balance adjustment of the secondary network.

[0018] More preferably, the data acquisition layer is used to acquire real-time data streams using a data interface or to extract historical data in batches using a data interface.

[0019] More preferably, the data storage layer is used for data storage and analysis, supports horizontal scaling of data storage, supports multi-node deployment and multi-copy storage of platform data, and meets data access requirements.

[0020] More preferably, the data in the data storage layer includes at least production operation data, customer service data, billing data, and room temperature monitoring data.

[0021] More preferably, the two-dimensional and three-dimensional rendering modules are used to construct and represent two-dimensional and three-dimensional scenes of urban characteristics, support two-dimensional and three-dimensional switching, support three-dimensional scene operation, and support the highlighted animation display of abnormal points, alarm points, abnormal buildings, and abnormal pipelines; perform real-time dynamic rendering based on data-driven visualization playback to display the dynamic changes of data over time; and support thematic rendering of regional and heating building information, including room temperature data and heat user repair and complaint information, using color, brightness, and transparency display styles to render and present them.

[0022] The thermal facility and equipment model element display module is used to display thermal facility and equipment models, and to perform picking and information viewing operations on the thermal facility and equipment models. The thermal facility and equipment models include at least heat sources, long-distance pipelines, pressure reducing stations, primary networks, heat exchange stations, secondary networks, and isolation valves.

[0023] The thermal system vector data display module is used to support the display of thermal system vector data in the building model from the pipeline network model;

[0024] The pipeline network model module is used to present the simulated flow effect, as well as to analyze and present the actual flow direction of water at the hydraulic confluence point of the ring network;

[0025] The customer service call module is used to prominently display the number of customer service calls and their location using a barcode cursor.

[0026] Further preferably, the three-dimensional spatiotemporal big data visualization platform also includes a geographic information GIS modeling system. This GIS modeling system is a B / S architecture geographic information system data modeling platform used to maintain data models, including at least elements such as companies, regions, heat exchange stations, residential areas, buildings, long-distance transmission networks, primary networks, secondary networks, heat sources, valves, compensators, valve wells, measuring points, intermediate stations, and a list of heat users. It includes functions for creating, modifying, importing, and exporting basic information and spatial attributes; and provides a convenient visual editing interface, allowing users to easily edit and import / export data.

[0027] More preferably, the network-wide balance diagnostic screen module is used to provide a network-wide balance diagnostic screen, which integrates and highlights the heating service area status of heat exchange stations, customer service complaint status, and city 3D map, and links the production data of heat exchange stations with the map; it monitors the real-time operation of temperature, pressure, flow rate, and heat of heat sources and heat exchange stations, displays heating trends and historical curves of operating parameters, realizes abnormal data alarms, provides diagnostic evaluation indicators of the network-wide balance of the heating system, and tracks the feedback of network-wide balance regulation;

[0028] The customer service call diagnostic dashboard module is used to provide a special diagnostic dashboard for customer service calls, which is used to analyze the distribution of customer service calls in real time and in different time periods, view the content of calls, and locate the geographical location of callers; it also provides daily statistics on customer service dispatch data, locates areas with prominent calls, and enables drill-down viewing and analysis.

[0029] The hydraulic analysis and diagnostic dashboard module provides a diagnostic dashboard for the digital twin model and hydraulic analysis of the pipeline network. It presents the hydraulic analysis results in an intuitive fluid format, displaying the distribution of flow rate, pressure, velocity, specific friction resistance, and transport time at various points in the pipeline network. It displays the transport process, flow direction, and transport time of hot water from the heat source plant to the end of the pipeline network, showing the flow direction of each pipe segment and the longest transport time from the heat source to the heat exchange station. It also displays the pipe diameter distribution, flow rate distribution, and locations of pipe sections with high flow rates, velocity distribution, and locations of pipe sections with velocities exceeding set values, pressure exceeding set values, and transport resistance exceeding set values. For unfavorable pipe sections, it provides prominent colors and cursors for rendering.

[0030] The aforementioned operational billing diagnostic dashboard module provides a dedicated diagnostic dashboard for operational billing, analyzing billing and suspension status for each heating season. It supports drill-down data at the substation, station, building, and household levels to diagnose heating area, billing rate, suspension reports, audit completion status, and user distribution. It displays the distribution of the number of households and heating area for different years; diagnoses the distribution of the number of paying households and billing rate for different years; and diagnoses the distribution of the area and number of users without heating each year, ranking them by their respective substation / station affiliation. The diagnostics include drill-down analysis of data, allowing for viewing and analyzing heating user billing status at the substation, station, building, and household levels to accurately pinpoint billing issues.

[0031] The aforementioned leadership cockpit large screen module is used to provide a large screen section for leadership, centrally displaying several of the most important and critical data in the operation of thermal power production, serving as a basis for decision-making; including comparisons of indicators between heating seasons, comparisons of key data between the current heating season and the previous heating season, including at least heating area, collection rate, suspension rate, heating output, and room temperature compliance rate; displaying the cumulative heat consumption, electricity consumption, and water consumption of the heating season, and displaying the current monitored average room temperature and online rate;

[0032] The energy management dashboard module provides real-time display of cumulative heat, electricity, and water consumption data since the start of the heating season. It also analyzes and displays the current heating capacity of each heat source in conjunction with outdoor temperature and average room temperature. A network-specific load forecasting section is designed, providing a curve comparing the predicted heat required for each network with the actual heating supply in the form of an energy flow diagram, indicating whether there is oversupply or undersupply. The dashboard can rank the energy consumption of heat exchange stations from three dimensions: water, heat, and electricity, and calculates, analyzes, and displays the ranking based on total consumption, unit consumption, and zero-valued unit consumption of heat consumption.

[0033] A further preferred embodiment includes a multi-source, whole-network one-click balancing system. This system interconnects with a unified big data platform, a three-dimensional spatiotemporal big data visualization platform, and a smart heating center. The multi-source, whole-network one-click balancing system provides network segmentation and management for each sub-network heating area. Through the whole-network balancing adjustment system, it decouples the heat source's heat supply from the heat network's transmission and distribution. When the heat source's heating load fluctuates, the load distribution of each heat exchange station / unit in the heat network remains reasonably uniform, avoiding localized deterioration in heating quality due to uneven heating.

[0034] More preferably, the multi-source whole-network one-click balancing system includes a multi-heat source networking configuration module, a whole-network balancing adjustment module, and a safety alarm diagnosis module;

[0035] The multi-heat-source network configuration module supports network configuration, allowing a heat exchange station to be added to or removed from the network, achieving balanced regulation of multiple heat sources and multiple networks, and supporting multi-network configuration; it allows setting up multiple networks, each containing different heat sources and heat exchange station units, and configuring different regulation parameters; it provides a convenient network configuration method, supporting drag-and-drop network configuration, and easily selecting the network to which the heat source / heat exchange station unit belongs, realizing different network configuration schemes; it also supports map-based station selection, allowing users to select the heat exchange station units included in the network from the map;

[0036] The whole network balance adjustment module is used to achieve uniform heat supply between heat exchange station units. It performs balance adjustment based on the characteristic parameters of each heat exchange station, outdoor temperature, and heat source heating parameters, and distributes the heat provided by the heat source evenly to each heat exchange station, so that each heat exchange station can take what it needs.

[0037] The safety alarm diagnostic module supports real-time and trend alarm configuration for heating networks, heat exchange stations / units, and voice alarms. It allows for adding / editing real-time alarms, including at least setting the alarm name, status, sound settings, whether to mute, whether to support automatic reset, alarm content font color settings, and viewing the operation time. It supports batch import and export of alarm settings and batch import / export of alarm logic items. It also supports voice alarms, playing the alarm content through speakers. Furthermore, it allows setting daily and hourly upper and lower deviations, triggering a trend alarm when real-time data exceeds the deviation limit.

[0038] Compared with the prior art, the beneficial effects of the present invention are:

[0039] 1. The integrated intelligent heating management and control platform system of the present invention can combine existing heat production operation data with urban 3D model data. It can display model elements of heat facilities and equipment such as heat sources, long-distance pipelines, pressure reducing stations, primary networks, heat exchange stations, secondary networks, and isolation valves. It supports picking up and viewing information of model elements such as pipelines, heat exchange stations, and buildings. It can also present simulated flow effects, especially the analysis and presentation of the real flow direction of water at the hydraulic confluence points of the ring network. It uses different colors, thicknesses, brightnesses, and line types to reflect the spatial differences in pipeline data status. It can also display the code, heating area, and customer capacity of the heat exchange station on the urban 3D model map. The system displays data on the number of customer service calls, the number of temperature measurement points, average room temperature, customer service call statistics, and heat exchange station operation data trends (supply and return water temperature, flow rate, pressure, heating capacity, and room temperature range distribution). Clicking on a pipe segment in the network model on the map brings up the information window for that segment, including basic information such as pipe code, length, diameter, and burial depth, as well as hydraulic parameters such as flow velocity, flow rate, and resistance. Clicking on a building on the map brings up the building's information window, displaying building information, its area, and user information for each unit and floor. This allows decision-makers to grasp the overall picture of production and operation through a single "heating map," enabling visualized monitoring, display, diagnosis, analysis, and control of the entire heat production system.

[0040] 2. The integrated source-grid-load-storage smart heating management and control platform system of the present invention provides a unified big data platform as the core infrastructure for enterprise data governance and data application, helping enterprises to achieve unified management, sharing and collaboration of data, improve data-driven decision-making capabilities and business innovation capabilities, and solve problems such as data silos, poor data quality and low data utilization efficiency.

[0041] 3. In order to break down data silos, this invention adopts a unified big data platform to achieve the integration, sharing and efficient flow of data resources. Through data governance, cleaning and transformation, it ensures the accuracy, consistency, integrity and timeliness of data, thereby improving data quality and quickly responding to the data needs of business departments, improving the efficiency of data analysis and mining, and supporting various business needs.

[0042] 4. This invention establishes a unified big data platform, enabling data integration and standardized, unified coding across business systems; it employs a 3D spatiotemporal big data visualization platform to visualize heating center data and algorithms; it utilizes a multi-source, network-wide one-click balancing system to achieve automated and intelligent control of multi-heat source interconnection, enabling optimized operation and scheduling of long-distance heating systems from power plants and gas-fired boilers, meeting economic and safe operation requirements; it employs a geographic information system (GIS) modeling system to achieve digital twin modeling of the "source-network-load-storage" heating system based on a 3D urban geographic information system; and it can also build an information management system for heating network equipment data, maintenance, and inspection based on the unified big data platform and GIS system.

[0043] 5. This invention connects to the hydraulic analysis system through the data interface of the hydraulic analysis system, and then uses the multi-source whole network one-click balancing system to realize the whole network hydraulic simulation and accessibility calculation of multi-level heating networks (long-distance heating network, primary heating network and secondary heating network) based on the data of multi-level heating networks, so as to meet the needs of planning and design, operation scheduling and accident condition simulation.

[0044] 6. This invention connects to the secondary network unit valve heat meter system through the data interface of the secondary network unit valve heat meter system, and controls the secondary network unit valve heat meter system based on the data through the multi-source whole network one-key balancing system, establishing a secondary network hydraulic simulation and one-key balancing control system to meet the needs of secondary network balancing to achieve energy saving and consumption reduction and on-demand heating.

[0045] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0046] Figure 1 This is a schematic diagram of the architecture of the integrated source-grid-load-storage intelligent heating management and control platform system of the present invention;

[0047] Among them, 1. Data interface; 2. Unified big data platform; 3. Three-dimensional spatiotemporal big data visualization platform; 4. Smart heating center; 5. Multi-source whole network one-click balancing system; Detailed Implementation

[0048] 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.

[0049] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0050] Example

[0051] To address the aforementioned issues, this invention provides a technical solution: integrating data from multiple systems, including urban geographic information, monitoring and operation data, billing data, customer service data, pipeline hydraulic analysis data, secondary network balance control, room temperature sensors, household heat metering, and meteorological data, to construct a unified data model covering the entire process. A high-performance visualization engine is used to achieve visualized intelligent diagnostic analysis of massive amounts of data, promptly detecting abnormal data changes, upgrading the production monitoring system, and constructing a multi-heat source networked balance control system. This enables fully automatic balance control of multiple heat sources through network splitting, achieving safe, efficient, energy-saving, and low-carbon heating.

[0052] Specifically, this invention provides an integrated intelligent heating management and control platform system encompassing source-grid-load-storage, including a data interface 1, a unified big data platform 2, a three-dimensional spatiotemporal big data visualization platform 3, and an intelligent heating center 4, such as... Figure 1 As shown.

[0053] 1. Data interface;

[0054] Data Interface 1 provides a configurable program that supports automatic data collection, enabling the import of full historical data and the collection and storage of real-time incremental data. The interface can create automated collection tasks, and its configuration and adjustments are customizable, recording the program's running status and collection logs.

[0055] Data interface 1 includes at least the following: historical data interface 1 for monitoring system, data interface 1 for billing system, data interface 1 for customer service system, data interface 1 for hydraulic analysis system, and data interface 1 for secondary network unit valve heat meter system.

[0056] 1) Monitoring system historical data interface 1;

[0057] It is compatible with existing monitoring systems' historical data interface 1 and real-time data interface 1. It completes the import, cleaning, and association of historical operating data of the heating network, and when integrated with the monitoring system, it includes the synchronization and exchange of operating parameters such as temperature, pressure, flow rate, and heat of the primary and secondary networks of the heat source and heat exchange station.

[0058] 2) Data interface 1 for the toll collection system;

[0059] It can import, clean, and correlate historical and real-time data from the billing system; when integrated with the billing system, it can also update data on residential heat users, amount due, amount in arrears, heating outages, and actual heating area on a regular basis.

[0060] 3) Customer service system data interface 1;

[0061] It can import, clean, and correlate historical and real-time customer service data and work order data. When integrated with the customer service system, it can also collect warranty information, complaint information, and work order information data in real-time or on a scheduled basis.

[0062] 4) Hydraulic analysis system data interface 1;

[0063] It can integrate data with hydraulic analysis systems, including hydraulic parameters such as heat source information, pipeline network information, pipe diameter, flow rate, pressure, specific friction and other hydraulic operating parameters, heat exchange station information, hydraulic calculation and hydraulic analysis results.

[0064] 5) Data interface 1 for the two-network unit valve heat meter system;

[0065] It can be integrated with household heat metering and monitoring systems, import historical operating data of heat users, and acquire daily heat metering data in real time / at regular intervals, including heat meter information of heat users, supply and return water temperature data and change curves, instantaneous flow and heat, and household valve opening data, providing data support for the balance regulation of secondary network operation.

[0066] 2. Unified big data platform;

[0067] The unified big data platform 2 is used for unified management, sharing, and collaboration of data;

[0068] The main benefits of the Unified Big Data Platform 2 include:

[0069] (1) Unified data platform: Break down data silos and realize the integration, sharing and efficient flow of data resources.

[0070] (2) Improve data quality: Ensure the accuracy, consistency, integrity and timeliness of data through data governance, cleaning and transformation.

[0071] (3) Support business needs: Quickly respond to the business departments' data needs and improve the efficiency of data analysis and mining.

[0072] (4) Support for multiple application scenarios: Supports multiple scenarios such as BI analysis, machine learning, and real-time data processing, providing support for business decision-making and innovation.

[0073] The unified big data platform 2 includes a data acquisition layer and a data storage layer;

[0074] The data acquisition layer is used to collect real-time data streams using data interface 1 or to extract historical data in batches using data interface 1, thereby obtaining data from various data sources (such as business systems, sensors, billing systems, customer service systems, room temperature sensors, etc.), including structured data and unstructured data.

[0075] The data storage layer is used for data storage and analysis. It requires a professional big data storage platform that supports horizontal scaling of data storage and meets the needs of storing massive amounts of historical production data at the second-level. It supports multi-node deployment and multi-replica storage of platform data to improve data reliability. It must meet the data access requirements of mainstream relational databases such as Oracle, MySQL, and SQL Server; satisfy the data access requirements of existing systems; and meet the requirements for high-performance real-time querying, extraction, statistics, and analysis of massive amounts of data.

[0076] The data in the data storage layer includes at least production operation data, customer service data, billing data, and room temperature monitoring data.

[0077] 3. Three-dimensional spatiotemporal big data visualization platform;

[0078] The 3D spatiotemporal big data visualization platform 3 is used to render city-level 3D model data and to visualize, monitor, display, diagnose, analyze, and control the entire process of the heating production system. It combines operational data from heating production with the city's 3D infrastructure to achieve the storage, analysis, and dynamic playback of massive amounts of data, intuitively displaying the heating production situation and enabling decision-makers to grasp the overall picture of production operations through a single "heating map." The platform requires compatibility with existing mainstream browsers, requires no additional plugins, and its implementation should include a large screen for a heating command center and multiple thematic analysis screens.

[0079] The 3D spatiotemporal big data visualization platform 3 includes at least two-dimensional and three-dimensional rendering modules, a thermal facility and equipment model element display module, a thermal system vector data display module, a pipeline network model module, and a customer service call module;

[0080] The 3D spatiotemporal big data visualization platform 3 can support vector data display of thermal systems, including pipeline models with a heating area of ​​no less than 30 million square meters and building models of no less than 3,000+ elements.

[0081] The 2D and 3D rendering modules are used to construct and represent 2D and 3D scenes of urban characteristics. They support 2D and 3D switching, 3D scene operation, and basic map operations such as panning, zooming, rotating, tilting, and centering, with a tilt angle greater than 60 degrees. They support highlighted animation display of abnormal points, alarm points, abnormal buildings, and abnormal pipelines. Based on data-driven visualization playback, they can perform real-time dynamic rendering to show the dynamic changes of data over time. They support thematic rendering of regional and heating building information, including room temperature data and heat user repair and complaint information, using color, brightness, and transparency display styles for rendering.

[0082] The thermal facility and equipment model element display module is used to display thermal facility and equipment models, and to perform picking and information viewing operations on the thermal facility and equipment models. The thermal facility and equipment models include at least heat sources, long-distance pipelines, pressure reducing stations, primary networks, heat exchange stations, secondary networks, and isolation valves.

[0083] The thermal system vector data display module is used to support the display of thermal system vector data in the building model from the pipeline network model;

[0084] The pipeline model module is used to present the simulated flow effect, as well as to analyze and present the actual flow direction of water at the hydraulic confluence of the ring network;

[0085] The customer service call module is used to prominently display the number of customer service calls and their location using a light bar cursor.

[0086] The 3D spatiotemporal big data visualization platform 3 also includes a geographic information GIS modeling system. This system is a B / S architecture geographic information system data modeling platform used to maintain data models. It includes at least elements such as companies, regions, heat exchange stations, communities, buildings, long-distance transmission networks, primary networks, secondary networks, heat sources, valves, compensators, valve wells, measuring points, intermediate stations, and a list of heat users. It includes functions for creating, modifying, importing, and exporting basic information and spatial attributes; and provides a convenient visual editing interface, allowing users to easily edit, import, and export data.

[0087] It can also integrate geographic information, with a city map as the interface background, and can zoom in and out of the city map view and enable animated focus. The map can be panned, zoomed, moved, rotated, and tilted using the mouse. It provides a global view, centered display, a north arrow, and a 2D / 3D switching tool, which allows switching between 2D and 3D maps.

[0088] Clicking on a heat exchange station on the map will bring up its information window, displaying the station's code, heating area, number of customer service phone numbers, number of temperature measurement points, average room temperature, customer service call logs, and a trend chart of the heat exchange station's operating data (supply and return water temperature, flow rate, pressure, heating capacity, and room temperature range distribution). Clicking on a pipe segment in the pipeline model on the map will bring up the information window for that segment, including basic information such as pipeline code, length, diameter, and burial depth, as well as hydraulic parameters such as flow velocity, flow rate, and resistance. Clicking on a building on the map will bring up its information window, displaying the building's profile, its area, and user information for each unit and floor of the building.

[0089] The Geographic Information System (GIS) modeling system can provide batch data processing functions for models, including batch import and export of heat exchange stations, building units, and heat users; batch color matching of heat exchange stations, building units, and heat users; and batch setting of subordinate relationships for heat exchange stations, building units, and heat users.

[0090] Visual large-screen operation can provide convenient and efficient auxiliary tools, including toolbars for regular map operations and timeline selection toolbars, enabling interface control from both spatial and temporal dimensions.

[0091] The map toolbar can display the entire map area; clicking it will display a large map of the country / region. It can focus on the city map; clicking this icon will zoom in to focus on the city / region. It provides a compass tool for automatic navigation; clicking it will rotate the map, and double-clicking it will adjust the map to face due north.

[0092] The time toolbar provides a time setting button, allowing users to select the desired time period. Once set, data within the selected time period can be loaded. It offers quick options for seven time span combinations, including "This Week," "Past 7 Days," and "Last Week." Clicking on a date node on the timeline will navigate to the relevant data in the loading interface information bar for that day. A play button is also provided, which allows for dynamic loading of running data in chronological order, enabling visual playback.

[0093] 4. Smart heating center;

[0094] The Smart Heating Center 4 is used to display 3D models of urban buildings, heating pipe networks, heating overview, operating parameters, heat source heating trends, weather forecasts, customer service dispatch statistics, room temperature monitoring distribution, video surveillance, and data of the entire heating production process, enabling the organic association, analysis, and drill-down of data from various subsystems.

[0095] The Smart Heating Center 4 includes at least the following modules: Smart Heating Command Center Large Screen, Network Balance Diagnosis Large Screen Module, Customer Service Call Diagnosis Large Screen Module, Hydraulic Analysis Diagnosis Large Screen Module, Operation and Billing Diagnosis Large Screen Module, Leadership Dashboard Large Screen Module, and Energy Management Large Screen Module.

[0096] The large screen of the smart heating command center centrally displays data from the entire heating production process, including 3D models of urban buildings, heating pipe networks, heating overview, operating parameters, heat source heating trends, weather forecasts, customer service dispatch statistics, room temperature monitoring distribution, and video surveillance. This enables the organic correlation, analysis, and drill-down of data from various subsystems.

[0097] The smart heating command center's main screen homepage displays the heating overview, including the number of heat sources and heat exchange stations, the length of primary and secondary networks, the number of safe heating days, the total number of heat users, and the heating area. It also features an energy consumption data analysis display window, showing cumulative heat consumption, cumulative electricity consumption, and cumulative water consumption during the heating season. The screen can analyze the daily trends of heat supply from each heat source and indoor / outdoor temperatures. A weather forecast window displays the current weather forecast information. A heat user room temperature monitoring and analysis section displays the room temperature monitoring status for heat users during the heating season, with an overview of average room temperature, compliance rate, and the number of temperature measurement points. Room temperature distribution shows the proportions of compliant, above-standard, and low temperatures. A customer service call section categorizes customer service calls by number and content, allowing users to choose to display current data or heating season data, real-time customer service call content, and locate the user's building by clicking on the customer service number. A comprehensive heating analysis section displays the trends of room temperature compliance rate, heat source supply, call volume, outdoor temperature, and indoor temperature. Finally, it integrates on-site video monitoring, allowing users to select and display video surveillance footage of key areas of the system. It provides production rankings for stations, including zonal rankings of various heating indicators, such as room temperature compliance rate, average room temperature, and telephone volume.

[0098] The network-wide balance diagnostic dashboard module provides a comprehensive diagnostic dashboard for the entire network, integrating and highlighting the heating service area status of heat exchange stations, customer service complaint information, and a 3D city map, and linking heat exchange station production data with the map; it monitors the real-time operation of temperature, pressure, flow rate, and heat volume of heat sources and heat exchange stations, displays heating trends and historical curves of operating parameters, provides alarms for abnormal data, gives diagnostic evaluation indicators for the overall balance of the heating system, and tracks the feedback of network-wide balance regulation.

[0099] The Customer Service Call Diagnosis Dashboard module provides a dedicated diagnostic dashboard for customer service calls. It analyzes the distribution of customer service calls in real time and across different time periods, displays call content, and locates the geographical location of callers. It also provides daily statistics on customer service dispatch data, identifies areas with prominent calls, and allows for drill-down analysis.

[0100] The hydraulic analysis and diagnostic dashboard module provides a diagnostic dashboard for the digital twin model and hydraulic analysis of the pipeline network. It presents the hydraulic analysis results in an intuitive fluid format, displaying the distribution of flow rate, pressure, velocity, specific friction resistance, and transport time at various points in the network. It shows the transport process, flow direction, and transport time of hot water from the heat source plant to the end of the network, displaying the flow direction of each pipe segment and the longest transport time from the heat source to the heat exchange station. It also displays the pipe diameter distribution, flow rate distribution, and locations of pipe sections with high flow rates, velocity distribution, and locations of pipe sections with velocities exceeding set values, pressure exceeding set values, and transport resistance exceeding set values. For unfavorable pipe sections, it provides prominent colors and cursors for rendering.

[0101] The Operation and Billing Diagnostic Dashboard module provides a specialized diagnostic dashboard for operation and billing, analyzing billing and suspension status for each heating season. It supports drill-down data at the substation, station, building, and household levels to diagnose heating area, billing rate, suspension reports, audit completion status, and user distribution. It displays the distribution of heating area and number of households heating in different years; diagnoses the distribution of the number of paying households and billing rate in different years; and diagnoses the distribution of heating suspension area and number of users suspending heating each year, ranking them by their respective substation / station. The diagnostics include drill-down analysis of data, allowing for viewing and analyzing heating user billing status at the substation, station, building, and household levels to accurately pinpoint billing issues.

[0102] The leadership dashboard module provides a central display of the most important and critical data in the operation of heating production, serving as a basis for decision-making. This includes comparisons of indicators between heating seasons, comparing key data between the current and previous heating seasons, including at least heating area, collection rate, outage rate, heating output, and room temperature compliance rate. It also displays the cumulative heating, electricity, and water consumption for the heating season, as well as the current average room temperature and online rate.

[0103] The energy management dashboard module provides real-time display of cumulative heat, electricity, and water consumption data since the start of the heating season. It also analyzes and displays the current heating capacity of each heat source in conjunction with outdoor temperature and average room temperature. A network-specific load forecasting section is included, which, based on the network branches, presents a curve comparing the predicted heat required for each network with the actual heating supply in the form of an energy flow diagram, indicating whether there is oversupply or undersupply. The dashboard can rank the energy consumption of heat exchange stations from three dimensions: water, heat, and electricity. It also calculates, analyzes, and displays the ranking based on total consumption, unit consumption, and the zero-unit consumption of heat consumption.

[0104] The invention also includes a multi-source whole-network one-click balancing system 5, which communicates with a unified big data platform 2, a three-dimensional spatiotemporal big data visualization platform 3, and a smart heating center 4. The multi-source whole-network one-click balancing system 5 is used to provide network division management for each sub-network heating area. It decouples the heat source heat supply from the heat network transmission and distribution through the whole-network balancing regulation system. When the heat source heating load fluctuates, the load distribution of each heat exchange station / unit in the heat network always maintains a reasonable and uniform distribution, avoiding the phenomenon of poor heating quality in local areas caused by uneven heating.

[0105] The multi-source whole-network one-click balancing system includes a multi-heat source networking configuration module, a whole-network balancing adjustment module, and a safety alarm diagnosis module.

[0106] The multi-heat-source network configuration module supports network configuration, allowing a heat exchange station to be added to or removed from the network, achieving balanced regulation of multiple heat sources and multiple networks, and supporting multi-network configuration; setting up multiple networks, each including different heat sources and heat exchange station units, and configuring different regulation parameters; providing a convenient network configuration method, supporting drag-and-drop network configuration, easily selecting the network to which the heat source / heat exchange station unit belongs, and realizing different network schemes; supporting map station selection, allowing users to select the heat exchange station units included in the network from the map;

[0107] The whole network balance adjustment module is used to achieve uniform heat supply between heat exchange station units. It performs balance adjustment based on the characteristic parameters of each heat exchange station, outdoor temperature, and heat source heating parameters, and distributes the heat provided by the heat source evenly to each heat exchange station, so that each heat exchange station can take what it needs.

[0108] The safety alarm diagnostic module supports real-time and trend alarm configuration for heating networks, heat exchange stations / units, and voice alarms. It allows adding / editing real-time alarms, including at least setting the alarm name, status, sound settings, whether to mute, whether to support automatic reset, alarm content font color settings, and viewing the operation time. It supports batch import and export of alarm settings and batch import / export of alarm logic items. It also supports voice alarms, playing the alarm content through speakers. Furthermore, it allows setting daily and hourly upper and lower deviations, triggering a trend alarm when real-time data exceeds the deviation limit.

[0109] In the description of this invention, it should be understood that the indicated orientation or positional relationship is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing this invention and simplifying the description, and is not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this invention.

[0110] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," 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, the 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.

[0111] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A smart heating management and control platform system integrating power generation, grid, load, and storage, characterized in that, This includes data interfaces, a unified big data platform, a 3D spatiotemporal big data visualization platform, and a smart heating center; The data interfaces include at least the historical data interface of the monitoring system, the data interface of the charging system, the data interface of the customer service system, the data interface of the hydraulic analysis system, and the data interface of the secondary network unit valve heat meter system. The unified big data platform is used for unified management, sharing, and collaboration of data; The unified big data platform includes a data acquisition layer and a data storage layer; The three-dimensional spatiotemporal big data visualization platform is used to render city-level three-dimensional model data and to visualize, display, diagnose, analyze and control the entire process of thermal power production. It combines the operation data of thermal power production with the city's three-dimensional base to realize the storage, analysis and dynamic playback of massive data, intuitively show the thermal power production situation, and allow decision-makers to grasp the whole picture of production operation. The three-dimensional spatiotemporal big data visualization platform includes at least two-dimensional and three-dimensional rendering modules, a thermal facility and equipment model element display module, a thermal system vector data display module, a pipeline model module, and a customer service call module. The intelligent heating center is used to display three-dimensional models of urban buildings, heating pipe networks, heating overview, operating parameters, heat source heating trends, weather forecasts, customer service dispatch statistics, room temperature monitoring distribution, video surveillance, and data of the entire heating production process, so as to realize the organic association, analysis and drill-down of data of each subsystem; The intelligent heating center includes at least the following modules: a network-wide balance diagnostic screen module, a customer service call diagnostic screen module, a hydraulic analysis diagnostic screen module, an operation and billing diagnostic screen module, a leadership dashboard screen module, and an energy management screen module.

2. The integrated intelligent heating management and control platform system for source-grid-load-storage as described in claim 1, characterized in that: The historical data interface of the monitoring system is used to be compatible with the existing historical data interface and real-time data interface of the monitoring system. It is used to import, clean and associate historical operation data of the heating network. When integrated with the monitoring system, it includes the synchronization and exchange of temperature, pressure, flow and heat operation parameters of the primary and secondary networks of the heat source and heat exchange station. The data interface of the charging system is used to import, clean and associate historical and real-time data of the charging system; when integrated with the charging system, it includes timely updates of data on residential heat users, receivables and payables, arrears, heating outages and actual heating area. The customer service system data interface is used to import, clean, and associate historical and real-time customer service data and work order historical and real-time data. When integrated with the customer service system, it includes real-time or timed synchronous collection of warranty information, complaint information, and work order information data. The hydraulic analysis system data interface is used for data integration with the hydraulic analysis system, including the collection of heat source information, pipeline network information, pipe diameter, flow rate, pressure, specific friction, hydraulic operating parameters, heat exchange station information, hydraulic calculations, and hydraulic analysis results. The data interface of the secondary network unit valve heat meter system is used to integrate with the household heat metering and monitoring system, import historical operating data of heat users, and obtain daily heat metering data in real time or at regular intervals, including heat user heat meter information, supply and return water temperature data and change curves, instantaneous flow and heat, and household valve opening data, so as to provide data support for the operation balance adjustment of the secondary network.

3. The integrated intelligent heating management and control platform system for source-grid-load-storage as described in claim 1, characterized in that: The data acquisition layer is used to collect real-time data streams using a data interface or to extract historical data in batches using a data interface.

4. The integrated intelligent heating management and control platform system for source-grid-load-storage as described in claim 1, characterized in that: The data storage layer is used for data storage and analysis, and supports horizontal scaling of data storage, multi-node deployment of platform data, multi-copy storage, and data access requirements.

5. The integrated intelligent heating management and control platform system for source-grid-load-storage as described in claim 4, characterized in that: The data in the data storage layer includes at least production operation data, customer service data, billing data, and room temperature monitoring data.

6. The integrated intelligent heating management and control platform system for source-grid-load-storage as described in claim 1, characterized in that: The two-dimensional and three-dimensional rendering modules are used to construct and represent two-dimensional and three-dimensional scenes of urban characteristics. They support switching between two-dimensional and three-dimensional modes, operation of three-dimensional scenes, and highlighting animations of abnormal points, alarm points, abnormal buildings, and abnormal pipelines. Based on data-driven visualization playback, they perform real-time dynamic rendering to show the dynamic changes of data over time. They also support thematic rendering of regional and heating building information, including room temperature data and repair and complaint information from heat users, using color, brightness, and transparency display styles for rendering. The thermal facility and equipment model element display module is used to display thermal facility and equipment models, and to perform picking and information viewing operations on the thermal facility and equipment models. The thermal facility and equipment models include at least heat sources, long-distance pipelines, pressure reducing stations, primary networks, heat exchange stations, secondary networks, and isolation valves. The thermal system vector data display module is used to support the display of thermal system vector data in the building model from the pipeline network model; The pipeline network model module is used to present the simulated flow effect, as well as to analyze and present the actual flow direction of water at the hydraulic confluence point of the ring network; The customer service call module is used to prominently display the number of customer service calls and their location using a barcode cursor.

7. The integrated intelligent heating management and control platform system for source-grid-load-storage as described in claim 1, characterized in that: The three-dimensional spatiotemporal big data visualization platform also includes a geographic information GIS modeling system. The geographic information GIS modeling system is a B / S architecture geographic information system data modeling platform used to maintain data models, which at least include elements such as companies, areas, heat exchange stations, communities, buildings, long-distance transmission networks, primary networks, secondary networks, heat sources, valves, compensators, valve wells, measuring points, intermediate stations, and heat user list information. It includes functions for creating, modifying, importing, and exporting basic information and spatial attributes; it provides a convenient visual editing interface, allowing users to easily edit, import, and export data.

8. The integrated intelligent heating management and control platform system for source-grid-load-storage as described in claim 1, characterized in that: The network-wide balance diagnostic dashboard module provides a comprehensive diagnostic dashboard for the entire network, integrating and highlighting the heating service area status of heat exchange stations, customer service complaints, and a 3D city map, and linking heat exchange station production data with the map; it monitors the real-time operation of temperature, pressure, flow rate, and heat of heat sources and heat exchange stations, displays heating trends and historical curves of operating parameters, provides alarms for abnormal data, gives diagnostic evaluation indicators for the overall balance of the heating system, and tracks the feedback of network-wide balance regulation; The customer service call diagnostic dashboard module is used to provide a special diagnostic dashboard for customer service calls, which is used to analyze the distribution of customer service calls in real time and in different time periods, view the content of calls, and locate the geographical location of callers; it also provides daily statistics on customer service dispatch data, locates areas with prominent calls, and enables drill-down viewing and analysis. The hydraulic analysis and diagnostic dashboard module is used to provide a diagnostic dashboard for the digital twin model of the pipeline network and hydraulic analysis. It displays the hydraulic analysis results in an intuitive fluid form, showing the distribution of flow rate, pressure, velocity, specific friction resistance, and delivery time at various points in the pipeline network. Displays the process of hot water transportation from the heat source plant to the end of the pipeline network, including the water flow direction and transportation time. It shows the flow direction of each pipe section and the longest transportation time from the heat source to the heat exchange station. It also displays the pipe diameter distribution, flow rate distribution, and locations of pipe sections with high flow rates, flow velocity distribution, and locations of pipe sections with flow velocities exceeding set values, pressure exceeding set values, and transportation resistance exceeding set values. For pipe sections with unfavorable operating conditions, it provides prominent colors and cursors for highlighting. The aforementioned operational billing diagnostic dashboard module provides a dedicated diagnostic dashboard for operational billing, analyzing billing and suspension status for each heating season. It supports drill-down data at the substation, station, building, and household levels to diagnose heating area, billing rate, suspension reports, audit completion status, and user distribution. It displays the distribution of the number of households and heating area for different years; diagnoses the distribution of the number of paying households and billing rate for different years; and diagnoses the distribution of the area and number of users without heating each year, ranking them by their respective substation / station affiliation. The diagnostics include drill-down analysis of data, allowing for viewing and analyzing heating user billing status at the substation, station, building, and household levels to accurately pinpoint billing issues. The aforementioned leadership cockpit large screen module is used to provide a large screen section for leadership, centrally displaying several of the most important and critical data in the operation of thermal power production, serving as a basis for decision-making; including comparisons of indicators between heating seasons, comparisons of key data between the current heating season and the previous heating season, including at least heating area, collection rate, suspension rate, heating output, and room temperature compliance rate; displaying the cumulative heat consumption, electricity consumption, and water consumption of the heating season, and displaying the current monitored average room temperature and online rate; The energy management dashboard module provides real-time display of cumulative heat, electricity, and water consumption data since the start of the heating season. It also analyzes and displays the current heating capacity of each heat source in conjunction with outdoor temperature and average room temperature. A network-specific load forecasting section is designed, providing a curve comparing the predicted heat required for each network with the actual heating supply in the form of an energy flow diagram, indicating whether there is oversupply or undersupply. The dashboard can rank the energy consumption of heat exchange stations from three dimensions: water, heat, and electricity, and calculates, analyzes, and displays the ranking based on total consumption, unit consumption, and zero-valued unit consumption of heat consumption.

9. The integrated intelligent heating management and control platform system for source-grid-load-storage as described in claim 1, characterized in that: It also includes a multi-source whole-network one-click balancing system, which communicates with a unified big data platform, a three-dimensional spatiotemporal big data visualization platform, and a smart heating center. The multi-source whole-network one-click balancing system is used to provide network division and management for each sub-network heating area, and decouples the heat source heat supply and the heat network transmission and distribution through the whole-network balancing adjustment system. When the heating load of the heat source fluctuates, the load distribution of each heat exchange station / unit in the heating network is always kept reasonable and even, so as to avoid the phenomenon of poor heating quality in some areas due to uneven heating.

10. The integrated intelligent heating management and control platform system for source-grid-load-storage as described in claim 9, characterized in that: The multi-source whole-network one-click balancing system includes a multi-heat source networking configuration module, a whole-network balancing adjustment module, and a safety alarm diagnosis module. The multi-heat source network configuration module is used to support network configuration, allowing a heat exchange station to be switched into or out of the pipeline network, thereby achieving balanced regulation of multiple heat sources and multiple pipeline networks and supporting multi-pipeline network configuration. Multiple pipe networks are set up, each containing different heat sources and heat exchange station units, and configured with different adjustment parameters; a convenient networking method is provided, supporting drag-and-drop networking, and easy selection of the pipe network to which the heat source / heat exchange station unit belongs, to achieve different networking schemes; Supports site selection on the map, allowing users to select heat exchange station units included in the pipeline network from the map; The whole network balance adjustment module is used to achieve uniform heat supply between heat exchange station units. It performs balance adjustment based on the characteristic parameters of each heat exchange station, outdoor temperature, and heat source heating parameters, and distributes the heat provided by the heat source evenly to each heat exchange station, so that each heat exchange station can take what it needs. The safety alarm diagnostic module supports real-time and trend alarm configuration for heating networks, heat exchange stations / units, and voice alarms. It allows for adding / editing real-time alarms, including at least setting the alarm name, status, sound settings, whether to mute, whether to support automatic reset, alarm content font color settings, and viewing operation time. It supports batch import and export of alarm settings and batch import / export of alarm logic items. It also supports voice alarms, playing alarm content through speakers. Furthermore, it allows setting daily and hourly upper and lower deviations, triggering a trend alarm when real-time data exceeds the deviation limit.

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