Regional heat supply centralized control system based on economics

Abstract

The invention discloses a regional heat supply centralized control system based on economics, and the system comprises a nonlinear cost sensing heat supply regulation and control module which is responsible for receiving real-time temperature data from a heat supply system and temperature preference set by a user, calculating a temperature threshold value based on a foreground theory, and prompting the increase of heat supply cost in real time. And the contrast between the incremental cost and the energy saving is displayed through a visual chart. According to the method, the behavioral economics theory is introduced, a heat supply strategy optimization model of the system is formed based on cost-benefit analysis and a marginal cost theory, a data model of user decision preference is constructed through sensor and user feedback data, irrational behavior characteristics are mined, and the behavioral economics principle is embedded into a system algorithm. Dynamic optimization of heating regulation and control and user incentive strategies is achieved, meanwhile, data visualization and immediate feedback design are strengthened, the energy-saving effect and cost effectiveness are visual and visible, and unification of heating economical efficiency, energy efficiency and user welfare is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of district heating, and in particular to a district heating centralized control system based on economics. Background Art

[0002] District heating is an important part of urban energy supply. It provides heat energy to multiple users or regions through centralized heat sources to achieve efficient use of energy and improve the environment. With the acceleration of urbanization and the improvement of people's living standards, the scale and complexity of district heating systems are also increasing, which puts higher requirements on the control and management of heating systems. Centralized control systems came into being, which can ensure efficient, stable and reliable heating by real-time monitoring and adjusting the operating status of the heating system.

[0003] However, most of the existing centralized control systems are designed based on traditional engineering technology, ignoring the application of economic principles in heating system management. Specifically, these systems often only focus on the physical process of heating, such as heat transfer, pipe network layout, etc., while ignoring the economic cost, market demand and energy efficiency of the heating system. This leads to obvious deficiencies in resource allocation, cost control and energy efficiency of the existing centralized control system, making it difficult to adapt to the actual needs of regional heating systems under market economic conditions. Therefore, there is an urgent need for a regional heating centralized control system based on economics. Summary of the invention

[0004] To this end, the present application provides a regional heating centralized control system based on economics to solve the problem that the existing control systems in the prior art are difficult to accurately predict and respond to market changes, supply and demand fluctuations, and uncertainties in user behavior, resulting in the overall efficiency and economy of the heating system still need to be improved.

[0005] In order to achieve the above objectives, this application provides the following technical solutions:

[0006] A district heating centralized control system based on economics, including

[0007] The nonlinear cost-aware heating control module is responsible for receiving real-time temperature data from the heating system and the temperature preference set by the user, and calculating the temperature threshold based on prospect theory, prompting the increase of heating costs in real time, and displaying the comparison between incremental cost and energy saving through visual charts;

[0008] The default energy-saving strategy guidance module is responsible for receiving user behavior data and user feedback from the user end, achieving the optimal match between heating temperature and energy consumption through algorithms, setting the default energy-saving mode, dividing users into different groups, and generating intelligent grouping results and time-dependent default adjustment strategies;

[0009] The precise heating and user comfort balance module is responsible for receiving the temperature setting data from the nonlinear cost-aware heating control module and the intelligent grouping results and time-dependent adjustment strategy from the default energy-saving strategy guidance module, and setting a personalized temperature stability range based on the user's historical temperature preference data, and automatically adjusting the heating output to keep the indoor temperature within the stable range;

[0010] The energy-saving behavior positive feedback module is responsible for receiving the output data of the nonlinear cost-aware heating control module, the default energy-saving strategy guidance module, and the precise heating and user comfort balance module. It displays the heating energy consumption data, energy-saving amount, carbon emission reduction in real time through the user interface, and displays the comparative data between users and similar groups.

[0011] Optionally, the nonlinear cost-aware heating control module includes

[0012] Temperature threshold setting unit: responsible for setting the system's default heating baseline. When the temperature set by the user is lower than the heating baseline, the system automatically adjusts and resets the heating baseline to ensure the heating effect.

[0013] Cost perception and visual feedback unit: responsible for real-time calculation and display of the cost of increasing heating, and the comparison between incremental cost and energy saving effect through visual charts;

[0014] Dynamic pricing mechanism unit: responsible for fine-tuning heating prices based on real-time prices in the energy market and the supply and demand conditions of the heating system, highlighting the marginal increasing effect of energy costs.

[0015] Optionally, the default energy saving strategy boot module includes

[0016] Default energy-saving mode setting unit: responsible for setting the default economic energy-saving mode, achieving the optimal match between heating temperature and energy consumption according to the characteristics of the heating system, external environmental conditions and historical usage data of users;

[0017] Intelligent grouping and user feedback mechanism unit: By collecting user historical data and user feedback, users are intelligently grouped and personalized energy-saving guidance strategies and feedback are formulated;

[0018] Time-dependent default adjustment strategy unit: responsible for combining historical data with user behavior analysis, formulating time-dependent default adjustment strategies, and dynamically adjusting the default strategies to ensure the energy-saving effect of the heating system and user experience.

[0019] Optionally, the default energy-saving strategy guidance module also includes a user manual change confirmation and energy-saving prompt unit. When the user attempts to manually change the heating settings, the unit requires the user to confirm the operation and provides energy-saving prompts when the user changes the settings.

[0020] Optionally, the precision heating and user comfort balance module includes

[0021] Personalized temperature stability interval setting unit: responsible for setting a personalized temperature stability interval based on the user's historical temperature preference data. When the system detects that the indoor temperature is close to the set lower limit temperature, it automatically adjusts the heating output to keep the indoor temperature fluctuating within the stable range;

[0022] Smooth control curve optimization unit: responsible for optimizing the control curve of the heating system to make the temperature transition smoothly, and dynamically adjust the control curve according to user feedback data;

[0023] Abnormal warning mechanism unit: responsible for setting the abnormal warning mechanism. When the indoor temperature continues to be lower than the threshold set by the user, a warning prompt will be issued in real time.

[0024] Optionally, the energy-saving behavior positive feedback module includes

[0025] Data real-time display unit: responsible for obtaining the user's energy consumption data from the heating system in real time and displaying it through the user interface;

[0026] Energy-saving achievement points reward unit: Calculate and award points to users based on their energy-saving behaviors, and redeem points for rewards within the system;

[0027] Tiered discount mechanism unit: A tiered discount on heating costs is implemented based on the user's energy-saving effects.

[0028] Optionally, the content displayed by the real-time data display unit includes the total heating energy consumption, energy saving amount, and carbon emission reduction index, and is presented intuitively in the form of charts or numbers.

[0029] Optionally, the energy-saving behavior positive feedback module also includes an instant reward and visual feedback unit, which is responsible for immediately giving the user a reward and visual feedback when the user takes an energy-saving behavior.

[0030] Optionally, the rewards of the instant reward and visual feedback unit are instant incentives in the form of points or discount coupons, and the visual feedback intuitively displays the user's energy-saving achievements through dynamic icons, animations or sounds on the user interface.

[0031] Compared with the prior art, this application has at least the following beneficial effects:

[0032] (I) The nonlinear cost-aware heating control module realizes intelligent control of the heating system by setting temperature thresholds, providing visual feedback, implementing a dynamic price adjustment mechanism, and using loss aversion to guide users to save energy. This control method not only helps to reduce energy costs, but also improves user comfort and satisfaction, providing strong support for the optimization of district heating centralized control systems;

[0033] (II) The default energy-saving strategy guidance module achieves energy-saving optimization of the heating system by setting the default economic energy-saving mode, intelligent grouping and user feedback mechanism, time-dependent default adjustment strategy, and user manual change confirmation and energy-saving prompts. This optimization not only helps to reduce energy consumption and costs, but also improves user comfort and satisfaction, providing strong support for the intelligent and sustainable development of the district heating centralized control system;

[0034] (III) The module for balancing precise heating and user comfort achieves a balance between precise control of the heating system and user comfort through personalized temperature stability interval setting, smooth control curve optimization, abnormal warning mechanism, and application of loss aversion theory. This balance not only helps to reduce energy consumption and costs, but also improves user comfort and satisfaction, providing strong support for the intelligent and sustainable development of the district heating centralized control system.

[0035] (IV) The energy-saving behavior positive feedback module can effectively promote users' energy-saving behavior, reduce heating energy consumption, and improve energy utilization efficiency through the joint action of multiple units. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more intuitively illustrate the prior art and the present application, exemplary drawings are given below. It should be understood that the specific shapes and structures shown in the drawings should not generally be regarded as limiting conditions for implementing the present application; for example, those skilled in the art are capable of easily making conventional adjustments or further optimizations to the addition / reduction / attribution division, specific shapes, positional relationships, connection methods, dimensional ratios, etc. of certain units (components) based on the technical concepts and exemplary drawings disclosed in the present application.

[0037] Figure 1 A schematic diagram of the structure of a centralized control system for district heating based on economics provided in this application;

[0038] Figure 2 This is a flow chart of the control method of the economics-based district heating centralized control system provided in this application. DETAILED DESCRIPTION

[0039] The present application is further described below in detail through specific embodiments in conjunction with the accompanying drawings.

[0040] An economics-based district heating centralized control system, including a nonlinear cost-aware heating control module, a default energy-saving strategy guidance module, a precise heating and user comfort balance module, and an energy-saving behavior positive feedback module;

[0041] The nonlinear cost-aware heating control module simulates the user's nonlinear perception of heating costs and uses the loss aversion psychology in prospect theory to guide users to make more energy-saving heating decisions. It effectively reduces energy waste and improves the overall efficiency of the heating system by setting temperature thresholds, providing visual feedback, and implementing a dynamic price adjustment mechanism. Specifically,

[0042] (1) Temperature threshold setting unit: responsible for setting the "minimum comfort temperature" as the default heating baseline of the system. This temperature value is derived from a large amount of user survey data and professional heating standards. It aims to ensure that users can maintain comfort while minimizing energy waste. When the temperature set by the user is lower than the minimum comfort temperature, the system will automatically adjust to this baseline to ensure the heating effect;

[0043] (2) Cost perception and visual feedback unit: When users try to increase the heating temperature, the unit calculates and displays the cost of increasing heating in real time. Through visual charts, users can intuitively see the comparison between the incremental cost and the energy-saving effect, so as to more clearly understand the economic burden brought by increasing the temperature. This feedback mechanism helps to enhance users' perception of heating costs and guide them to make more rational decisions.

[0044] (3) Dynamic price adjustment mechanism unit: During the peak heating period, this unit will fine-tune the heating price based on the real-time price of the energy market and the supply and demand of the heating system, highlighting the marginal increasing effect of energy costs, aiming to smooth the heating demand and reduce the energy pressure during peak hours. At the same time, this dynamic price adjustment also helps guide users to use the heating system during non-peak hours, thereby further reducing energy costs;

[0045] (4) Loss aversion psychological guidance unit: This unit uses the loss aversion psychology in prospect theory to guide users to save energy through nonlinear cost perception design. When users see the additional cost of increasing the temperature, they tend to make more energy-saving choices because of their aversion to loss. This psychological guidance mechanism helps to form energy-saving habits, thereby reducing the energy consumption of the entire heating system.

[0046] The nonlinear cost-aware heating control module realizes intelligent control of the heating system by setting temperature thresholds, providing visual feedback, implementing a dynamic price adjustment mechanism, and using loss aversion to guide users to save energy. This control method not only helps to reduce energy costs, but also improves user comfort and satisfaction, providing strong support for the optimization of district heating centralized control systems.

[0047] The default energy-saving strategy guidance module realizes energy-saving optimization of the heating system through intelligent algorithms and user behavior analysis. It guides users to unconsciously adopt energy-saving solutions by setting default economic energy-saving modes, intelligent grouping and user feedback mechanisms, and time-dependent default adjustment strategies. Specifically,

[0048] (1) Default energy-saving mode setting unit: responsible for setting the default "economic energy-saving mode" when the system is initialized. This mode is based on an advanced algorithm and achieves the optimal match between heating temperature and energy consumption according to the characteristics of the heating system, external environmental conditions, and historical usage data of the user. In the default mode, the system will provide heating services that meet the user's comfort level with the lowest energy consumption;

[0049] (2) Intelligent grouping and user feedback mechanism unit: By collecting sensor data and user feedback, users are intelligently grouped and divided into different groups based on factors such as their heating habits, energy consumption levels, and preferences. Based on the characteristics of different groups, personalized energy-saving guidance strategies and feedback mechanisms are formulated;

[0050] For example, for high energy consumption users, the system will strengthen energy conservation publicity and guidance, while providing more detailed energy consumption reports and energy conservation suggestions;

[0051] (3) Time-dependent default adjustment strategy unit: responsible for combining historical data with user behavior analysis to formulate a time-dependent default adjustment strategy. During low energy demand periods such as nighttime and non-residential peak hours, the system will automatically lower the heating temperature to reduce unnecessary energy waste. At the same time, the default strategy is dynamically adjusted according to seasonal changes, weather conditions and other factors to ensure the energy-saving effect of the heating system and user experience;

[0052] (4) User manual change confirmation and energy-saving reminder unit: When the user tries to manually change the heating settings, the unit will ask the user to confirm the operation to prevent energy consumption from increasing due to misoperation. At the same time, it provides energy-saving reminders when the user changes the settings, informing the user of the impact of the current settings on energy consumption and possible energy-saving solutions. This reminder helps to enhance the user's cognition and awareness of energy-saving behavior;

[0053] The default energy-saving strategy guidance module achieves energy-saving optimization of the heating system by setting the default economic energy-saving mode, intelligent grouping and user feedback mechanism, time-dependent default adjustment strategy, and user manual change confirmation and energy-saving prompts. This optimization not only helps to reduce energy consumption and costs, but also improves user comfort and satisfaction, providing strong support for the intelligent and sustainable development of the district heating centralized control system;

[0054] The module of balancing precise heating and user comfort achieves a balance between precise control of the heating system and user comfort through intelligent algorithms and user behavior analysis. It ensures that users can achieve energy-saving optimization of the heating system while maintaining comfort by setting personalized temperature stability ranges, smooth control curves, abnormal warning mechanisms, and dynamic optimization strategies combined with loss aversion theory. Specifically,

[0055] (1) Personalized temperature stability interval setting unit: responsible for setting a personalized temperature stability interval based on the user's historical temperature preference data. This interval is derived based on factors such as the user's heating habits, comfort requirements, and external environmental conditions. It aims to ensure that the user can maintain comfort while minimizing energy waste. When the system detects that the indoor temperature is close to the set lower limit temperature, it will automatically adjust the heating output to keep the indoor temperature fluctuating within the stable range;

[0056] (2) Smooth control curve optimization unit: responsible for optimizing the control curve of the heating system to achieve smooth temperature transition. Based on the intelligent algorithm, it predicts and adjusts the heating output according to the trend of indoor temperature changes to avoid the impact of sudden temperature changes on user comfort. At the same time, it dynamically adjusts the control curve based on user feedback data to better meet user comfort needs.

[0057] (3) Abnormal warning mechanism unit: responsible for setting the abnormal warning mechanism. When the indoor temperature continues to be lower than the threshold set by the user, a prompt will be issued in real time. This mechanism helps to promptly discover and solve problems with the heating system, ensuring that users can always maintain a comfortable indoor environment. At the same time, it records the data of abnormal events to provide a reference for subsequent optimization of the system.

[0058] (4) Loss aversion theory application unit: Responsible for combining the loss aversion theory to dynamically find the optimal solution between "minimum comfort" and "energy saving cost". Through intelligent algorithms, it calculates and compares the energy consumption cost and comfort loss under different heating strategies in real time, so as to select the optimal heating solution. This strategy aims to ensure that users can achieve energy saving optimization of the heating system while maintaining comfort. At the same time, according to user feedback data, the application effect of the loss aversion theory is dynamically adjusted to better meet user needs.

[0059] The module for balancing precise heating and user comfort achieves a balance between precise control of the heating system and user comfort through personalized temperature stability interval setting, smooth control curve optimization, abnormal warning mechanism, and application of loss aversion theory. This balance not only helps to reduce energy consumption and costs, but also improves user comfort and satisfaction, providing strong support for the intelligent and sustainable development of the district heating centralized control system.

[0060] The energy-saving behavior positive feedback module aims to intuitively reflect the user's energy-saving achievements by displaying heating energy consumption data, energy-saving amount, carbon emission reduction and other indicators in real time, and introducing mechanisms such as point rewards, tiered discounts and social comparison, and promote the formation and diffusion of energy-saving behaviors through positive incentives. Specifically,

[0061] (1) Real-time data display unit: responsible for obtaining the user's energy consumption data from the heating system in real time and displaying it through the user interface. The displayed content includes key indicators such as total heating energy consumption, energy saving amount (i.e., the cost saved by the user due to energy saving), and carbon emission reduction. These data are intuitively presented in the form of charts or numbers, so that users can clearly understand their energy saving results;

[0062] (2) Energy-saving achievement points reward unit: Based on the user's energy-saving behavior, such as lowering the heating temperature and reducing the heating time, the corresponding points are calculated and awarded to the user. These points can be exchanged for rewards within the system, such as heating discount coupons and points mall products. The point reward mechanism aims to encourage users to actively participate in energy-saving actions and form good energy-saving habits;

[0063] (3) Tiered discount mechanism unit: A tiered discount on heating costs is implemented based on the energy-saving effect of the user. That is, the better the energy-saving effect of the user, the greater the discount. This mechanism aims to further encourage users to adopt more energy-saving heating methods through economic incentives. At the same time, the energy-saving effect of the user is regularly evaluated and the discount is adjusted according to the evaluation results to ensure the continued effectiveness of the incentive mechanism.

[0064] (4) Heating Energy Saving Ranking Unit: Responsible for setting up and maintaining a heating energy saving ranking, showing the comparative data between users and similar groups. The ranking is ranked according to the energy saving effect of users, and the energy saving results and points reward of the top ranked users are displayed. Through the social comparison and ranking mechanism, it aims to utilize the social demonstration effect, stimulate users' energy saving competition awareness, and promote the diffusion of energy saving behavior;

[0065] (5) Instant reward and visual feedback unit: responsible for giving users rewards and visual feedback immediately when they take energy-saving actions. Rewards can be instant incentives in the form of points, discount coupons, etc., while visual feedback can intuitively display users' energy-saving achievements through dynamic icons, animations, or sounds on the user interface. Through instant rewards and visual feedback, the purpose is to strengthen users' energy-saving behaviors and form conditioned reflex energy-saving habits.

[0066] The energy-saving behavior positive feedback module can effectively promote users' energy-saving behavior, reduce heating energy consumption and improve energy utilization efficiency through the joint action of multiple units.

[0067] In summary, the district heating centralized control system based on behavioral economics proposed in the present invention introduces behavioral economics theory through multiple creative module designs, and forms a systematic heating strategy optimization model based on cost-benefit analysis and marginal cost theory. Through sensor and user feedback data, a data model of user decision-making preferences is constructed, and irrational behavior characteristics are mined. The principles of behavioral economics are embedded in the system algorithm to achieve dynamic optimization of heating regulation and user incentive strategies. At the same time, data visualization and instant feedback design are strengthened to make energy-saving effects and cost-effectiveness intuitively visible, thereby achieving the unity of heating economy, energy efficiency and user welfare.

[0068] A control method of a district heating centralized control system based on economics is as follows:

[0069] S1 Initial Setup and Startup

[0070] When the system starts, the default energy-saving strategy guidance module first sets the system to "economic energy-saving mode" and intelligently divides the system into groups based on algorithms and user feedback;

[0071] The module for balancing precise heating and user comfort sets a personalized temperature stability range based on the user's historical temperature preference data;

[0072] S2 real-time monitoring and adjustment

[0073] The nonlinear cost-aware heating control module monitors the temperature set by the user in real time and calculates the cost and incremental cost of increasing heating. When the temperature exceeds the "minimum comfort temperature", the incremental cost and energy saving comparison are displayed through a visual chart.

[0074] The module for balancing precise heating and user comfort monitors the indoor temperature. When the temperature approaches the lower limit, it automatically increases the heating output and smoothes the control curve. At the same time, it sets an abnormal warning mechanism. When the temperature continues to be lower than the user threshold, it issues a prompt in real time.

[0075] S3 Energy-saving Behavior Guidance and Feedback

[0076] The energy-saving behavior positive feedback module displays heating energy consumption data, energy-saving amount, carbon emission reduction and other indicators in real time through the user interface, intuitively reflecting the user's energy-saving achievements;

[0077] According to the user's energy-saving behavior, the energy-saving behavior positive feedback module introduces point rewards or tiered discounts, and sets a heating energy-saving "ranking" to display the comparative data of users with similar groups;

[0078] S4 overall optimization and coordination

[0079] All modules work together through shared data and algorithm optimization to achieve overall heating system optimization;

[0080] The default energy-saving strategy guidance module adjusts the energy-saving strategy according to the data of the energy-saving behavior positive feedback module;

[0081] The precise heating and user comfort balance module adjusts the personalized temperature stability range according to the incremental cost data of the nonlinear cost-aware heating control module.

[0082] The technical features of the above embodiments may be arbitrarily combined (as long as there is no contradiction in the combination of these technical features). To make the description concise, not all possible combinations of the technical features in the above embodiments are described; these embodiments that are not explicitly written should also be considered to be within the scope of this specification.

Claims

1. A centralized control system for district heating based on economics, characterized in that: include The nonlinear cost-aware heating control module is responsible for receiving real-time temperature data from the heating system and the temperature preference set by the user, and calculating the temperature threshold based on prospect theory, prompting the increase of heating costs in real time, and displaying the comparison between incremental cost and energy saving through visual charts; The default energy-saving strategy guidance module is responsible for receiving user behavior data and user feedback from the user end, achieving the optimal match between heating temperature and energy consumption through algorithms, setting the default energy-saving mode, dividing users into different groups, and generating intelligent grouping results and time-dependent default adjustment strategies; The precise heating and user comfort balance module is responsible for receiving the temperature setting data from the nonlinear cost-aware heating control module and the intelligent grouping results and time-dependent adjustment strategy from the default energy-saving strategy guidance module, and setting a personalized temperature stability range based on the user's historical temperature preference data, and automatically adjusting the heating output to keep the indoor temperature within the stable range; The energy-saving behavior positive feedback module is responsible for receiving the output data of the nonlinear cost-aware heating control module, the default energy-saving strategy guidance module, and the precise heating and user comfort balance module. It displays the heating energy consumption data, energy-saving amount, carbon emission reduction in real time through the user interface, and displays the comparative data between users and similar groups.

2. The economics-based district heating centralized control system according to claim 1 is characterized in that: The nonlinear cost-aware heating control module includes Temperature threshold setting unit: responsible for setting the system's default heating baseline. When the temperature set by the user is lower than the heating baseline, the system automatically adjusts and resets the heating baseline to ensure the heating effect. Cost perception and visual feedback unit: responsible for real-time calculation and display of the cost of increasing heating, and the comparison between incremental cost and energy saving effect through visual charts; Dynamic pricing mechanism unit: responsible for fine-tuning heating prices based on real-time prices in the energy market and the supply and demand conditions of the heating system, highlighting the marginal increasing effect of energy costs.

3. The economics-based district heating centralized control system according to claim 1 is characterized in that: The default energy-saving strategy boot module includes Default energy-saving mode setting unit: responsible for setting the default economic energy-saving mode, achieving the optimal match between heating temperature and energy consumption according to the characteristics of the heating system, external environmental conditions and historical usage data of users; Intelligent grouping and user feedback mechanism unit: By collecting user historical data and user feedback, users are intelligently grouped and personalized energy-saving guidance strategies and feedback are formulated; Time-dependent default adjustment strategy unit: responsible for combining historical data with user behavior analysis, formulating time-dependent default adjustment strategies, and dynamically adjusting the default strategies to ensure the energy-saving effect of the heating system and user experience.

4. The economics-based district heating centralized control system according to claim 1 is characterized in that: The default energy-saving strategy guidance module also includes a user manual change confirmation and energy-saving prompt unit. When the user attempts to manually change the heating settings, the unit requires the user to confirm the operation and provides energy-saving prompts when the user changes the settings.

5. The economics-based district heating centralized control system according to claim 1 is characterized in that: The module of precise heating and user comfort balance includes Personalized temperature stability interval setting unit: responsible for setting a personalized temperature stability interval based on the user's historical temperature preference data. When the system detects that the indoor temperature is close to the set lower limit temperature, it automatically adjusts the heating output to keep the indoor temperature fluctuating within the stable range; Smooth control curve optimization unit: responsible for optimizing the control curve of the heating system to make the temperature transition smoothly, and dynamically adjust the control curve according to user feedback data; Abnormal warning mechanism unit: responsible for setting the abnormal warning mechanism. When the indoor temperature continues to be lower than the threshold set by the user, a warning prompt will be issued in real time.

6. The economics-based district heating centralized control system according to claim 1, characterized in that: The energy-saving behavior positive feedback module includes Data real-time display unit: responsible for obtaining the user's energy consumption data from the heating system in real time and displaying it through the user interface; Energy-saving achievement points reward unit: Calculate and award points to users based on their energy-saving behaviors, and redeem points for rewards within the system; Tiered discount mechanism unit: A tiered discount on heating costs is implemented based on the user's energy-saving effects.

7. The economics-based district heating centralized control system according to claim 6 is characterized in that: The real-time data display unit displays the total heating energy consumption, energy saving amount, and carbon emission reduction indicators, and presents them intuitively in the form of charts or numbers.

8. The economics-based district heating centralized control system according to claim 6, characterized in that: The energy-saving behavior positive feedback module also includes an instant reward and visual feedback unit, which is responsible for immediately giving users rewards and visual feedback when users take energy-saving behaviors.

9. The economics-based district heating centralized control system according to claim 8, characterized in that: Instant Rewards and Visual Feedback The rewards of the unit are immediate incentives in the form of points or discount coupons, and the visual feedback intuitively displays the user's energy-saving achievements through dynamic icons, animations or sounds on the user interface.

Images