Geothermal multi-energy complementary low-carbon heating stepless transmission and distribution system and method

Abstract

The present application relates to the field of heat supply and distribution, in particular to a geothermal multi-energy complementary low-carbon heat supply stepless distribution system and method. The system comprises a geothermal source subsystem, a heat pump subsystem, a municipal heat supply subsystem, a stepless distribution pipe network, an end monitoring subsystem and a central intelligent control subsystem. The geothermal source subsystem provides basic heat energy, the heat pump subsystem improves the heat supply grade or supplements heat, and the municipal heat supply subsystem serves as a peak shaving or standby heat source. The stepless distribution pipe network is provided with a water inlet main pipe, a water return main pipe and a plurality of branch pipes, and the branch pipes are provided with independently controlled variable frequency circulating pumps and electric regulating valves. The end monitoring subsystem collects parameters on the heat source side, the pipe network side and the user side, and the central intelligent control subsystem performs closed-loop control of data acquisition, heat calculation, strategy generation and instruction issuance. The present application realizes flow distribution on demand, effectively solving the problems of energy waste, difficulty in reasonable transportation of excess heat and difficulty in dynamic control of load changes in the prior art.

Description

Technical Field

[0001] This invention relates to the field of heat supply and distribution, and more particularly to a geothermal multi-energy complementary low-carbon heat supply and distribution system and method. Background Technology

[0002] Medium-deep geothermal energy, as a clean and low-carbon renewable energy source, coupled with multi-energy heating modes such as gas and heat pumps, has become an important development direction in the current urban heating sector. Its core objective is to improve heating efficiency and reduce carbon emissions through the synergy of multiple heat sources. However, existing technologies still face many key bottlenecks in practical applications: On the one hand, the industry generally uses the method of stacking multiple low-power devices to match the heat source with the terminal load. This mode not only significantly increases the initial equipment purchase and construction costs of the project, but also, because the equipment power is fixed, adjustments can only be made by adding or removing the number of devices when the load changes, resulting in frequent fluctuations in terminal heating indicators (temperature, pressure, etc.), which cannot meet users' needs for heating stability. On the other hand, the transmission and distribution network of traditional heating systems is mostly a branched structure, adopting a "fixed flow, fixed pressure" operation mode, lacking flexible flow distribution capabilities, and is prone to hydraulic imbalance phenomena of "overheating at the near end and undercooling at the far end," further exacerbating the problem of uneven heating.

[0003] More significantly, existing systems struggle to address the core contradiction between dynamic load changes and rational energy utilization. In heating scenarios such as residential communities and industrial parks, occupancy rates often fall short of planned design standards. Design institutes typically select equipment based on full-load conditions, resulting in generally oversized equipment parameters. This leads to significant waste of heat energy due to ineffective consumption, while surplus energy is difficult to deliver to demand areas. During peak winter loads, geothermal well maintenance, or abnormal geothermal temperatures, a single heat source cannot guarantee heating. The lack of efficient coordination mechanisms among multiple heat sources often relies on manual start-up / shutdown or fixed-sequence control, resulting in delayed heat source switching and inaccurate heat replenishment, further increasing dependence on fossil fuels. Furthermore, existing systems lack real-time monitoring and intelligent control capabilities across the entire process, failing to accurately capture parameter changes on the heat source, pipeline, and user sides. This hinders dynamic matching of heat supply and demand, ultimately leading to low heating efficiency, high energy consumption, and increased operating costs. In summary, existing heating systems urgently need a technical solution that can integrate the coordinated scheduling of multiple heat sources, achieve stepless on-demand heat distribution, and adapt to dynamic load changes through intelligent closed-loop control, in order to resolve the core contradiction between multi-heat source coordination and dynamic load matching. Summary of the Invention

[0004] This invention provides a geothermal multi-energy complementary low-carbon heating stepless transmission and distribution system and method, aiming to solve the problems of energy waste, inability to rationally transmit surplus heat, and difficulty in dynamically controlling load changes in the existing technology.

[0005] To achieve the above objectives, the following technical solution is adopted.

[0006] The geothermal multi-energy complementary low-carbon heating stepless transmission and distribution system includes: geothermal source subsystem, heat pump subsystem, municipal heating subsystem, stepless transmission and distribution network, terminal monitoring subsystem and central intelligent control subsystem; The geothermal source subsystem is used to provide basic heat energy, the heat pump subsystem is used to improve the heating quality or supplement heat, and the municipal heating subsystem serves as a peak-shaving or backup heat source. The stepless distribution network has an inlet header and a return header. The inlet header connects to the heating output ends of the local geothermal source subsystem, heat pump subsystem, and municipal heating subsystem. The return header connects to the return end of the geothermal source subsystem. The stepless distribution network has multiple branch pipelines leading to different heating areas. Each branch pipeline is equipped with a controlled independent variable frequency circulating pump and an electric regulating valve. The terminal monitoring subsystem is used to collect operating parameters from the heat source side, the pipeline side, and the user side; the central intelligent control subsystem connects to and controls the terminal monitoring subsystem, all variable frequency circulating pumps and electric regulating valves, and the geothermal source subsystem to execute a closed-loop control program for data acquisition, heat calculation, strategy generation, and command issuance.

[0007] Optionally, the continuously variable distribution network specifically includes: a main circulation loop consisting of a main supply pipe and a main return pipe; multiple regional heating branches, each regional heating branch connected to the main supply pipe via a distributor interface and connected to the main return pipe via a collector interface; on the supply branch pipe leading out from the distributor interface of each regional heating branch, a first electric switch valve, the variable frequency circulation pump, and a second electric regulating valve are installed sequentially along the water flow direction; on the return branch pipe where each regional heating branch merges into the collector interface, a third electric switch valve is installed; a network main circulation pump and a system total flow meter are installed on the main supply pipe upstream of all distributor interfaces; a system total pressure sensor and a system total return water temperature sensor are installed on the main return pipe; the central intelligent control subsystem independently controls the speed of the variable frequency circulation pump and the opening of the second electric regulating valve on different regional heating branches to dynamically change the heat medium flow distribution ratio flowing through different regional heating branches.

[0008] Optionally, the central intelligent control subsystem includes a hardware layer and a software layer: The hardware layer includes an industrial programmable logic controller (PLC), a data acquisition module, an analog output module, a digital input / output module, a communication module, and a human-machine interface consisting of a host computer. The software layer includes a control program running in the industrial programmable logic controller (PLC) and a monitoring program running in the host computer; the control program includes a data acquisition and processing subroutine, a heat calculation and analysis subroutine, a control strategy generation subroutine, and an instruction issuance and execution subroutine. The monitoring program provides a graphical interface for real-time display of all temperature, pressure, and flow data collected by the terminal monitoring subsystem, dynamically displaying the heat surplus or heat deficit values ​​of each heating area, as well as the operating frequency of the variable frequency circulating pumps and the opening degree of the electric regulating valves of each branch of the stepless transmission and distribution network.

[0009] Optionally, the heat calculation and analysis subroutine is configured to execute the following logic: The data acquisition and processing subroutine periodically calls to obtain secondary pipeline water supply temperature data, return water temperature data, and circulating water flow rate data from the designated heating area; using the first formula Q 耗 =c×m×(T 供 -T 回 Calculate the actual heat consumption Q of this heating area. 耗 Where c is the specific heat capacity constant of water, m is the circulating water mass flow rate obtained from the flow rate data, and T 供 For the secondary network water supply temperature, T 回 The temperature of the secondary network return water is used; simultaneously, the geothermal heat supply Q obtained in this area is calculated based on the collected parameters of the primary and secondary sides of the geothermal heat exchanger. 地 The auxiliary heat supply Q provided by the heat pump subsystem is calculated based on its operating status signal and performance parameters. 辅 The actual heat supply Q of the area is obtained by summing the results. 供 Next, calculate the difference ΔQ = Q. 供 -Q 耗 If ΔQ > 0, then this value is recorded as the heat surplus value ΔQ for that region. 盈 If ΔQ < 0, then the absolute value is recorded as the heat gap value ΔQ for that region. 缺 The above calculations are performed by traversing all heating areas to form a structured list of heat supply and demand differences.

[0010] Optionally, the regulation strategy generation subroutine is configured to generate, in parallel, a multi-heat source coordinated strategy and a continuously variable transmission and distribution network regulation strategy based on the heat supply and demand difference list: The generation logic of the multi-heat source coordination strategy is as follows: if the heat supply and demand difference list shows that there is no heat shortage in all areas, then an instruction is generated to maintain the operation of the geothermal source subsystem and shut down the heat pump subsystem and the municipal heating subsystem; if there is a heat shortage, then an instruction is first generated to optimize the operation of the geothermal source subsystem to maximize the geothermal heat supply; if there is still a shortage after the geothermal heat supply is increased, then an instruction to start one or more heat pump subsystems is generated in a preset order; if the shortage still exists after the heat pump subsystem is at full load, then an instruction to open the regulating valve of the municipal heating subsystem is finally generated. The preset sequence is as follows: when the target temperature minus the operating temperature is ≤ 5℃, one heat pump subsystem is started; when the target temperature minus the operating temperature is > 5℃, the second heat pump subsystem is started. The generation logic of the stepless distribution network regulation strategy is as follows: for specific areas marked as heat deficit in the list, generate instructions to increase the frequency of the variable frequency circulating pump and the opening of the electric regulating valve on the corresponding heating branch; for specific areas marked as heat surplus in the list, generate instructions to decrease the frequency of the variable frequency circulating pump and the opening of the electric regulating valve on the corresponding branch; at the same time, generate instructions to adjust the speed of the total circulating pump in the network to stabilize the system pressure based on the data from the system total pressure sensor.

[0011] The geothermal multi-energy complementary low-carbon heating stepless transmission and distribution method includes the following steps: The terminal monitoring subsystem continuously collects multi-dimensional real-time data on the outlet temperature and flow rate of the geothermal source subsystem, the start-stop status of the heat pump subsystem, the valve opening of the municipal heating subsystem, the supply and return water temperature and pressure of each branch of the stepless distribution network, and the circulating water flow rate and temperature of the secondary network in each heating area. The central intelligent control subsystem then summarizes these data into a real-time system operation parameter dataset. The central intelligent control subsystem calls the built-in computing model to process the real-time operating parameter dataset of the system. For each heating area, it calculates the actual heat consumption based on its secondary network flow and supply and return water temperature difference, and calculates the actual heat supply by combining the contributions of all heat sources. By comparison, it obtains the independent heat surplus value or heat deficit value of each area and generates a complete list of heat supply and demand differences. The central intelligent control subsystem analyzes the heat supply and demand difference list and generates two sets of control commands accordingly. The first set is a multi-heat source coordinated start-stop command, which is used to schedule geothermal sources, heat pumps, and municipal heat sources to match the total load demand. The second set is a stepless transmission and distribution network dynamic adjustment command, which is used to adjust the variable frequency pumps and valves of each branch to directionally allocate heat from the surplus area to the deficit area. The central intelligent control subsystem sends the multi-heat source coordinated start-up and shutdown command and the stepless transmission and distribution network dynamic adjustment command to each actuator. After execution, it obtains feedback data again through the terminal monitoring subsystem. If the deviation between the feedback data and the expected target exceeds the set tolerance, a new round of calculation and adjustment based on the latest feedback data is triggered.

[0012] Optionally, the step of generating a complete list of heat supply and demand differences includes the following specific calculation process: For any system marked as number i In the heating area of ​​the district, the central intelligent control subsystem extracts the secondary network circulating water mass flow rate (m³) of the area from the real-time operating parameter dataset of the system. i Water supply temperature T 供i and return water temperature T 回i Substitute into formula Q 耗i =c×m i ×(T 供i -T 回i The actual heat consumption Q in this region was calculated. 耗i Simultaneously, the central intelligent control subsystem calculates the geothermal heat supply Q to the i-th zone based on the heat exchange parameters of the geothermal heat exchanger. 地i According to the association with the first i Calculate the auxiliary heating capacity Q of the heat pump unit operating data in the area. 辅i Q 地i With Q 辅i The actual heat supply Q of the area can be obtained by summing the results. 供i Subsequently, the central intelligent control subsystem calculates ΔQ. i =Q 供i -Q 耗i And determine ΔQ i The sign of ΔQ i If the value is greater than 0, then it is the first value in the heat supply and demand difference list. i Create a record in the area, and record the value ΔQ. i Marked as the heat surplus value, if Then the value |ΔQ i | Mark as heat deficit value; perform the above calculation and judgment process repeatedly for all N heating areas in the system, and finally output a list of heat supply and demand differences containing N records.

[0013] Optionally, the steps for generating dynamic adjustment commands for the continuously variable transmission and distribution network include the following specific logic: The central intelligent control subsystem reads the heat supply and demand difference list and parses each record one by one; when it parses a record that is identified as a heat gap and has a gap value of ΔQ, it will... 缺jWhen recording, the central intelligent control subsystem determines the j-th heating zone corresponding to the record and its associated j-th zone heating branch in the stepless transmission and distribution network; the central intelligent control subsystem uses ΔQ 缺j The magnitude of the value is obtained by consulting a preset frequency-heat correspondence table or by using a proportional-integral algorithm to calculate a target frequency increase value ΔF. j This will generate instructions. j The current operating frequency of the variable frequency circulating pump on the heating branch of area number [number] has increased by ΔF. j Simultaneously, an instruction is generated to proportionally increase the opening of the electric regulating valve on that branch; when a line is parsed that is identified as having a heat surplus with a surplus value of ΔQ... 盈k During the recording process, the central intelligent control subsystem determines the corresponding k-th heating zone and its k-th zone heating branch, and calculates the target frequency reduction value ΔF. k The generated instructions reduce the frequency of the variable frequency circulating pump on branch k and decrease the opening of its electric regulating valve; all the regulation instructions for specific branches together constitute the dynamic regulation instruction set of the continuously variable transmission and distribution network.

[0014] Optionally, if the deviation between the feedback data and the expected target exceeds a set tolerance, a new round of calculation and adjustment based on the latest feedback data is triggered. The specific implementation methods include: After a complete control cycle of the dynamic adjustment command set of the continuously variable transmission and distribution network and the multi-heat source coordinated start-stop command, the central intelligent control subsystem activates a feedback monitoring cycle. The terminal monitoring subsystem collects key data on the temperature changes of the secondary network supply and return water in the affected area, the indoor temperature data of key users, and the pressure changes of the main pipeline of the continuously variable transmission and distribution network, forming a system feedback parameter set. The central intelligent control subsystem compares the indoor temperature data in the system feedback parameter set with the preset upper and lower limits of the comfort temperature range, compares the temperature difference between the secondary network supply and return water with the preset economic operating temperature difference range, and compares the main pipeline pressure with the preset stable pressure threshold. When any comparison result exceeds its corresponding set tolerance, the central intelligent control subsystem determines that the previous round of adjustment did not fully achieve the target. At this time, the latest system feedback parameter set is used as a new input to replace or update part of the real-time system operating parameter dataset, immediately re-triggering the entire process from calculating the actual heat consumption and actual heat supply, generating an updated heat supply and demand difference list, and generating new control commands accordingly.

[0015] Optionally, a zoned operation strategy linked to outdoor temperature may also be included, specifically: The central intelligent control subsystem continuously receives ambient temperature data T from the outdoor temperature sensor. w and T w With the preset high threshold temperature value Thigh and low threshold temperature value T low Compare; When T w >T high At this time, the central intelligent control subsystem adopts low-load operation logic. At this time, the generated multi-heat source coordinated start-stop command prioritizes the independent operation of the geothermal source subsystem, and the generated stepless transmission and distribution network dynamic adjustment command aims to maintain the minimum flow balance in each area. When T low ≤T w ≤T high At this time, the central intelligent control subsystem adopts conventional adjustment logic, and generates all instructions entirely based on the heat supply and demand difference list; When T w <T low At this time, the central intelligent control subsystem adopts high load protection logic. The generated multi-heat source coordinated start-stop command forces the geothermal source subsystem to full load, puts all heat pump subsystems into operation, and pre-starts the municipal heating subsystem. At the same time, the generated stepless transmission and distribution network dynamic adjustment command is adjusted to prioritize the allocation of flow to the area with the largest heat gap.

[0016] Compared with the prior art, the present invention has the following beneficial effects: This application integrates geothermal source subsystems, heat pump subsystems, and municipal heating subsystems to construct a stepless distribution network with both inlet and return water headers. Combined with a terminal monitoring subsystem and a central intelligent control subsystem, this forms a complete heating system with multi-heat source collaboration and on-demand flow distribution. This effectively solves the problems of energy waste, inefficient transfer of surplus heat, and difficulty in dynamically controlling load changes in existing technologies. When occupancy rates fall short of the planned levels or heating load fluctuates due to seasons or weather, the system can collect multi-dimensional parameters such as temperature, flow rate, and pressure in real time through the terminal monitoring subsystem. The central intelligent control subsystem then performs data analysis and calculations to dynamically adjust the start / stop status of each heat source and the flow distribution ratio of the distribution network, achieving precise matching of heat supply and demand. This avoids fluctuations in terminal heating indicators caused by fixed-power equipment and maximizes the utilization of renewable energy sources such as geothermal energy, significantly reducing energy waste and operating costs.

[0017] Further optimization of the stepless distribution network structure design, by configuring independently controlled variable frequency circulating pumps and electric regulating valves for each heating area, combined with the central control equipment for the supply and return water mains, enables independent and precise control of the heat medium flow in each area. This completely solves the hydraulic imbalance problem of traditional branched pipe networks, ensuring stable heating quality in different areas. The central intelligent control subsystem, through the hardware combination of an industrial-grade PLC controller and a host computer monitoring platform, along with dedicated software subroutines for data acquisition, strategy generation, and command issuance, constructs an efficient closed-loop control link. This allows for seamless integration of data processing, heat calculation, and control command execution, significantly improving system response speed and control efficiency. Accuracy: Based on real-time parameter-based heat calculation logic and multi-heat source collaborative strategy, the system prioritizes the maximization of geothermal resources, activating heat pumps and municipal heat sources only during peak loads or when geothermal energy is insufficient, significantly reducing dependence on fossil fuels and carbon emissions. The complete control process, including real-time monitoring, accurate calculation, dynamic adjustment, and feedback correction, along with a zoned operation strategy linked to outdoor temperatures, further enhances the system's adaptability under different load conditions. Even in extreme weather or when heat sources fluctuate, dynamic adjustments ensure heating stability. Simultaneously, by optimizing flow distribution and heat source scheduling, the system achieves energy conservation and consumption reduction goals, comprehensively improving the overall operational efficiency and sustainability of the heating system. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the module structure of an embodiment of the geothermal multi-energy complementary low-carbon heating stepless transmission and distribution system of the present invention.

[0019] Figure 2 This is a schematic diagram of the steps in the geothermal multi-energy complementary low-carbon heating stepless transmission and distribution method of the present invention. Detailed Implementation

[0020] The present invention will now be described in detail with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other.

[0021] The following detailed description is exemplary and intended to provide further detailed explanation of the invention. Unless otherwise specified, all technical terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. The terminology used in this invention is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. Example 1

[0022] like Figure 1As shown, the application of the geothermal multi-energy complementary low-carbon heating stepless transmission and distribution system is demonstrated. This project is responsible for the heating needs of satellite stations 1 and 2. The heating area of ​​satellite station 1 is 99,300.09㎡, and the heating area of ​​satellite station 2 is 196,479.43㎡. The system design needs to meet the load fluctuations caused by different occupancy rates and changes in outdoor temperature, and realize the synergy of multiple heat sources and stepless heat transmission and distribution.

[0023] The system includes a geothermal source subsystem, a heat pump subsystem, a municipal heating subsystem, a continuously variable transmission and distribution network, a terminal monitoring subsystem, and a central intelligent control subsystem. Each subsystem operates collaboratively with the heat medium through data signal interaction, forming a complete heating transmission and distribution system.

[0024] The geothermal source subsystem, serving as the basic heat energy supply unit, comprises core equipment including two geothermal wells (production well D2 and reinjection well D1), a geothermal heat exchanger, a cyclone desander, a geothermal reinjection device, and a heat source-side circulation pump. The geothermal heat exchanger utilizes a Juyuan plate heat exchanger, suitable for the high temperature of the geothermal well outlet water. The cyclone desander has a processing flow rate range of 70-130 t / h, effectively removing sand and impurities from the geothermal well water and preventing blockage of the heat exchanger channels. The heat source-side circulation pump has a flow rate of 200 m³ / h. 3 Two units are configured, each with a head of 20m, one for operation and one for standby. The geothermal reinjection device is a booster pump with a head of 20m and an outlet pressure set at 0.4MPa to ensure that the geothermal tailwater is compliantly reinjected into the geothermal reservoir. During operation, geothermal well water is drawn from the production well D2, with the extraction rate adjustable within the range of 70-130t / h. After purification by a cyclone separator, the water enters the primary side of the geothermal heat exchanger, where it exchanges heat with the heating circulating water on the secondary side. The inlet water temperature on the primary side is 68℃, and the outlet water temperature is 42℃. After heat exchange, the geothermal tailwater is pressurized by the reinjection device and reinjected into the geothermal reservoir through reinjection well D1. The reinjection temperature is controlled below 35℃, which meets the requirements of the "Design Code for Geothermal Heating Stations".

[0025] The heat pump subsystem is used to improve heating quality and supplement heat supply. It is equipped with two heat pump units, each with an electrical conversion efficiency of 0.45MW. The units are air-source heat pumps, suitable for medium-deep geothermal heating scenarios. This subsystem has two start-up conditions: first, when the primary network outlet temperature of the geothermal secondary heat exchanger is higher than 45℃, the unit starts to compress heat and lower the reinjection temperature below the set value; second, when geothermal heat is insufficient, such as when the outdoor temperature is below -2℃ in winter or during geothermal well maintenance, the unit starts to supplement heating. The start-up and shutdown status, operating current, and frequency of the heat pump units are monitored in real time by a central intelligent control subsystem. The current monitoring range is 0-50A, and the frequency adjustment range is 0-50Hz, ensuring that the unit's operating status matches the system load demand.

[0026] The municipal heating subsystem, serving as a peak-shaving and backup heat source, is connected to the municipal primary heat network and linked to the main water supply pipe of the stepless distribution network via a DN200 electric regulating valve. The electric regulating valve has an IP67 sealing rating, is made of carbon steel, and has an opening range of 0-100%. When the secondary outlet water temperature of the geothermal heat exchanger is detected to be below 40℃, and the heat pump subsystem, operating at full load, still cannot meet the load demand, the municipal heating subsystem automatically starts. The circulating water, heated by the municipal heat source, reaches a temperature of 80℃ and flows into the main circulation network via the electric regulating valve to supplement the heat gap. When the secondary network return water temperature reaches 42℃, the electric regulating valve stops increasing its opening, maintaining a stable current opening to avoid overheating and energy waste.

[0027] The continuously variable transmission and distribution network adopts an interconnected design, divided into an inlet main pipe (supply main pipe) and a return main pipe (return main pipe). The main circulation loop has a ring structure to ensure the hydraulic balance of the network. The network has two district heating branches, corresponding to the heating areas of plots 4-1 and 4-2 respectively. Each branch connects to the supply main pipe through a distributor interface and to the return main pipe through a collector interface. On the supply branch of each district heating branch, a first electric on / off valve, a variable frequency circulating pump, and a second electric regulating valve are installed sequentially along the water flow direction. Both the first electric on / off valve and the second electric regulating valve are DN200, consistent with the electric regulating valve model of the municipal heating subsystem. The variable frequency circulating pump is a VF-INVTGD200 type, with a power of 30KW and a rated flow of 200m³ / h. 3 The pump has a flow rate of 1000 m / h, a head of 20 m, and supports stepless speed regulation from 0-50 Hz, allowing for precise flow adjustment based on load requirements. A third electric switch valve, identical in model to the first electric switch valve, is installed on the return water branch pipe of each district heating branch for branch on / off control. A main circulation pump and a system flow meter are installed on the main supply pipe upstream of all manifold interfaces. The parameters of the main circulation pump are consistent with the district variable frequency circulation pump. The system flow meter is DN200 with an accuracy of ±0.01% and supports pulse signal output for monitoring the total flow rate of the network. A system total pressure sensor and a system total return water temperature sensor are installed on the return water main pipe. The pressure sensor has a range of 0-1.0 MPa and an output signal of 4-20 mA, while the temperature sensor has a range of 0-100℃ and an output signal of 4-20 mA, for real-time monitoring of network pressure and return water temperature. By independently adjusting the speed of the variable frequency circulating pumps in each branch and the opening of the second electric regulating valve through the central intelligent control subsystem, the heat medium flow distribution ratio can be dynamically changed to achieve on-demand heat delivery. For example, when there is a heat surplus in area 4-1, the speed of its variable frequency pump and the valve opening can be reduced, while the speed and opening of area 4-2 can be increased to direct the surplus heat to the area in demand.

[0028] The terminal monitoring subsystem consists of various sensors distributed on the heat source side, the pipeline network side, and the user side. All sensors output 4-20mA standard signals to ensure stable and reliable data transmission. Temperature sensors T411 and T412 and flow sensors are installed on the heat source side to monitor the outlet water temperature of the primary and secondary sides of the geothermal heat exchanger and the water intake of the geothermal well, respectively. Pressure sensors P411 and P421 and temperature sensors T421 and T422 are installed on the pipeline network side to monitor the pressure and temperature of the primary network supply and return water. Pressure sensors are also installed at both ends of each branch to calculate the branch pressure difference. On the user side, secondary network supply water temperature sensors, return water temperature sensors, and flow sensors are installed at the heat exchange stations in areas 4-1 and 4-2. Room temperature sensors are installed in typical user rooms, with a range of 0-50℃ and an accuracy of ±0.5℃, to monitor indoor heating effects.

[0029] The central intelligent control subsystem is the core control unit of the system, consisting of a hardware layer and a software layer. The hardware layer is based on an industrial programmable logic controller (PLC), such as the S7-1214CDC / DC / DC, with 100KB of working memory, 4MB of load memory (expandable to 16MB via a dedicated SD card), and 10KB of retention memory. It supports ring network communication with four PROFINET devices, ensuring real-time and stable data transmission. Expansion modules include two SM1223DI16 / DQ16 modules, one SM1221DI16 module, two SM1231AI8x16bit modules, and two SB1241_485 communication modules. The SM1223DI16 / DQ16 module is used to control and acquire hard-point signals from eight electric valves and four frequency converters; the SM1221DI16 module is specifically designed to acquire hard-point signals from the eight electric valves, providing signal acquisition redundancy; the SM1231AI8x16bit module is used to acquire signals from four temperature sensors and four pressure sensors, with an acquisition accuracy of 16 bits; two SB1241_485 communication modules are used: one for communicating with and regulating the analog channels of the frequency converters, acquiring the operating frequency and current feedback signals of the frequency converters; the other is used to acquire the pulse signal from the system's total flow meter, ensuring the accuracy of flow data acquisition. The hardware layer also includes a host monitoring computer, using an industrial-grade computer and installing WINCC monitoring software to form a human-machine interface, providing a graphical operation interface for operators to monitor the system's operating status in real time.

[0030] The software layer includes a control program running on the PLC and a monitoring program running on the host computer. The control program contains subroutines for data acquisition and processing, heat calculation and analysis, control strategy generation, and command issuance and execution. The data acquisition and processing subroutine collects data from each sensor at a 1-second interval, uses a moving average filtering algorithm to filter the analog signals, and sets a filtering window of 5 data points to ensure data accuracy. The heat calculation and analysis subroutine calculates the actual heat consumption and supply for each area at a 5-second interval, generating a heat supply-demand difference list. The control strategy generation subroutine generates multi-heat source coordination strategies and continuously variable transmission and distribution network regulation strategies in parallel based on the difference list. The command issuance and execution subroutine issues control commands to each actuator and receives feedback signals to ensure that the commands are executed correctly. The monitoring program provides a graphical interface that displays all temperature, pressure, and flow data in real time, dynamically shows the heat surplus or heat deficit value of each heating area, as well as the operating frequency of each branch variable frequency circulating pump and the opening degree of the electric regulating valve. It also supports the issuance of manual operation commands and the setting of operating parameters, allowing operators to intervene according to the actual situation.

[0031] The system in this embodiment, through the coordinated operation of its various subsystems, can effectively address the energy waste problem when occupancy rates fall short of the plan, achieving reasonable and curved transmission of surplus energy and adaptive control based on load changes. For example, when the occupancy rate and load demand in area 4-1 are low, the system can directionally transmit the surplus heat from that area to area 4-2 to avoid heat waste; when changes in outdoor temperature cause load fluctuations, the system adjusts the heat source output and pipeline flow to ensure stable heating quality in each area and meet users' heating needs. Example 2

[0032] like Figure 2 As shown, this embodiment is based on the geothermal multi-energy complementary low-carbon heating stepless distribution system described in Embodiment 1. With "heat supply and demand balance" as the core objective, it achieves stepless heat distribution through a closed-loop logic of multi-dimensional data collection, precise calculation, strategy generation, dynamic adjustment, and feedback correction. The specific implementation process is as follows: First, multi-dimensional parameter real-time monitoring and data acquisition are conducted. The central intelligent control subsystem continuously collects three types of core parameters through various sensors of the terminal monitoring subsystem at a 1-second acquisition cycle. Heat source side parameters include the primary side outlet water temperature T411 and secondary side outlet water temperature T412 of the geothermal heat exchanger, the geothermal well water intake, the start-up and shutdown status of the heat pump subsystem, and the operating current and frequency of the heat pump unit; pipeline network side parameters include the primary network supply water pipe temperature T421 and return water pipe temperature T422, supply water pipe pressure P411 and return water pipe pressure P421, the total flow rate of the primary network, and the pressure difference of each branch; user side parameters include the secondary network supply water temperature, return water temperature, and secondary network circulating water flow rate of the heat exchange stations in areas 4-1 and 4-2, as well as the indoor temperature of typical users. All acquired analog signals are converted into digital signals by the SM1231AI8x16bit module, and pulse signals are acquired by the SB1241_485 communication module. After filtering and calibration by the data acquisition and processing subroutine, the data is summarized into a real-time operating parameter dataset and stored in the PLC's load memory for subsequent calculations. For example, when the local geothermal well water extraction rate is 70t / h, the signal acquired by the flow sensor is processed and accurately recorded as 70t / h, ensuring the accuracy of subsequent calculations.

[0033] Next, precise calculations of regional heat surplus and deficit are performed. The central intelligent control subsystem calls the heat calculation and analysis subroutine to process the real-time operating parameter dataset of the system, with a calculation cycle of 5 seconds. The specific heat capacity of water, c, is 4.186 kJ / (kg・℃), and the density of circulating water, ρ, is 1000 kg / m³. 3 The volumetric flow rate of the secondary network circulating water can be converted to the mass flow rate m = ρ × Qv. For region 4-1, the volumetric flow rate Q of the secondary network circulating water is extracted. v1 Water supply temperature T 供1 Return water temperature T 回1 Substitute into formula Q 耗1 =c×m1×(T 供1 -T 回1 Calculate the actual heat consumption of this area; simultaneously, based on the heat exchange parameters of the geothermal heat exchanger corresponding to area 4-1, including the primary side inlet water temperature, outlet water temperature, and flow rate, calculate the geothermal heat supply Q. 地1 Q 地1 =c×m×(T 供 -T 回 The auxiliary heating capacity Q of the heat pump is calculated based on parameters such as the operating current, voltage, and COP of the heat pump subsystem. 辅1 Q 辅 The actual heat supply Q of the area is obtained by summing the line length × I_line × power factor cosφ × COP. 供1 ; Calculate the difference ΔQ1=Q 供1 -Q 耗1,like This is recorded as the heat surplus value ΔQ. 盈1 ,like This is recorded as the heat deficit value ΔQ. 缺1 The same calculation method is used to calculate the heat surplus or deficit value for region 4-2. After completing the calculations for both heating regions, a value containing the region number and Q is generated. 耗 Q 供 A structured list of heat supply and demand differences, including ΔQ and state. For example, the volumetric flow rate of the secondary network in area 4-1 is 50 m³ / s. 3 Given a supply water temperature of 42℃ and a return water temperature of 20℃, the mass flow rate m1 = 50 × 1000 = 50000 kg / h, Q 耗 Geothermal heat supply Q 地1 =2.13MW, heat pump auxiliary heating Q 辅1 =0.45MW, Q 供 ΔQ1=1.3MW>0, therefore it is determined to be a heat surplus.

[0034] Then, a multi-heat-source coordinated heating strategy and a stepless distribution network regulation strategy are generated. The central intelligent control subsystem calls the regulation strategy generation subroutine to generate two sets of control commands in parallel based on the heat supply and demand difference list. The generation logic of the multi-heat-source coordinated strategy is as follows: if there is no heat shortage in all areas, the command is generated to maintain the operation of the geothermal source subsystem and shut down the heat pump subsystem and the municipal heating subsystem; if there is a heat shortage, the command is first generated to optimize the operation of the geothermal source subsystem by increasing the water intake of geothermal wells to increase the geothermal heat supply; if there is still a shortage after the geothermal heat supply is increased, the command to start the heat pump subsystem is generated according to the preset order of "heat pump priority, municipal backup"; if the shortage still exists after the heat pump subsystem is at full load, the command to open the electric regulating valve of the municipal heating subsystem is generated. For example, if there is a heat shortage in area 4-2, the water intake of the geothermal well will be increased from 70t / h to 95t / h to increase the heat exchange efficiency of the geothermal heat exchanger. If the shortage is still not eliminated, the No. 1 heat pump subsystem will be started. If the demand still cannot be met, the second heat pump subsystem will be started. In extreme cases, the municipal heating subsystem will be activated.

[0035] The preset sequence is as follows: when the target temperature minus the operating temperature is less than or equal to 5°C, one heat pump subsystem is started; when the target temperature minus the operating temperature is greater than or equal to 5°C, the second heat pump subsystem is started. The generation logic of the stepless distribution network regulation strategy is as follows: For heat deficit areas, commands are generated to increase the frequency of the corresponding branch variable frequency circulating pump and the opening of the electric regulating valve; for heat surplus areas, commands are generated to decrease the frequency of the corresponding branch variable frequency circulating pump and the opening of the electric regulating valve; simultaneously, commands are generated to adjust the speed of the network's total circulating pump based on data from the system's total pressure sensor to maintain stable network pressure. When generating commands, the adjustment range is determined based on the magnitude of the heat difference. For example, when the surplus value in area 4-1 is 1.3MW, a preset frequency-heat correspondence table is consulted to determine the target frequency reduction value as 15Hz. If the current variable frequency pump operating frequency is 35Hz, a command is generated to reduce the frequency to 20Hz, and the electric regulating valve opening is reduced from 60% to 30%; when the deficit value in area 4-2 is 0.44MW, a command is generated to maintain the variable frequency pump frequency at 25Hz and the electric regulating valve opening at 50%.

[0036] The preset frequency-heat correspondence is represented as follows: Subsequently, dynamic adjustment and command issuance of the stepless distribution network are executed. The central intelligent control subsystem, through command issuance and execution subroutines, sends the generated multi-heat source coordinated start / stop commands and stepless distribution network dynamic adjustment commands to each actuator via the communication module. Geothermal well water intake adjustment commands are sent to the frequency converters of the geothermal well's water intake pumps to change the pump's operating frequency and achieve water intake adjustment; heat pump unit start / stop commands are sent to the heat pump unit's control terminal to control the unit's start or stop; the adjustment commands for the municipal heating subsystem's electric regulating valves are sent through the SM1223DI16 / DQ16 module to change the valve opening; the adjustment commands for each branch variable frequency circulating pump and electric regulating valve are sent to the corresponding frequency converters and valve control terminals, respectively. After receiving the commands, each actuator executes the corresponding action and returns the execution results to the central intelligent control subsystem through the feedback signal channel. For example, the variable frequency pump feeds back the actual operating frequency to the control subsystem, and the valve feeds back the actual opening degree to the control subsystem, ensuring that the commands are executed effectively.

[0037] Finally, end-point parameter feedback and dynamic correction are performed. After a complete control cycle (10 seconds) of command execution, the central intelligent control subsystem activates the feedback monitoring cycle (5 seconds). The end-point monitoring subsystem collects parameters from the affected area, including secondary network supply and return water temperature changes, typical user indoor temperature data, and main pipeline pressure changes, forming the system feedback parameter set. The central intelligent control subsystem compares the feedback parameters with preset targets: the preset comfortable indoor temperature range is 19-21℃, the preset economical operating range for the secondary network supply and return water temperature difference is 20-30℃, and the preset stable threshold for the main pipeline pressure is 0.4-0.6MPa. When all comparison results are within the corresponding preset range, the previous round of adjustment is deemed to have achieved its target, and the current operating state is maintained. When any comparison result exceeds the preset tolerance, the previous round of adjustment is deemed not to have fully achieved its target. At this time, the latest system feedback parameter set is used as the new input to replace or update part of the system's real-time operating parameter dataset, immediately re-triggering the entire process starting from heat calculation, generating an updated list of heat supply and demand differences, and producing new control instructions based on this, until all parameters meet the preset targets. For example, if the indoor temperature in area 4-2 is monitored to be 18.5℃, which is lower than the lower limit of 19℃, and the secondary network supply and return water temperature difference is 18℃, which is lower than the lower limit of 20℃, then the heat supply and demand difference is recalculated, the control instructions are adjusted, and the heat supply in that area is increased.

[0038] The method in this embodiment also includes a zoned operation strategy linked to outdoor air temperature. The central intelligent control subsystem continuously receives ambient temperature data T from the outdoor temperature sensor. w Preset high threshold temperature value T high =7℃, low threshold temperature value T low =-2℃. When T w When the temperature is above 7℃, a low-load operation logic is adopted. The multi-heat source coordinated start-stop command prioritizes the independent operation of the geothermal source subsystem, maintaining the geothermal well water intake at 67t / h. The dynamic adjustment command of the stepless distribution network aims to maintain the minimum flow balance in each area. The frequency of the variable frequency pumps in areas 4-1 and 4-2 is maintained at 25Hz with an opening degree of 40%. When -2℃ ≤ T w When the temperature is ≤7℃, the conventional adjustment logic is used, and all instructions are generated entirely based on the heat supply and demand difference list, such as T. w When the temperature reaches 2℃, the geothermal well water extraction rate is adjusted to 95t / h, and the flow rate of each branch is adjusted according to the surplus and deficit; when T w When the temperature is below -2℃, a high-load protection logic is adopted. The multi-heat source coordinated start-stop command forces the geothermal source subsystem to full load, with a water intake of 130t / h. Both units of the heat pump subsystem are put into operation. The electric regulating valve of the municipal heating subsystem is pre-opened to 30% opening. The dynamic adjustment command of the stepless transmission and distribution network is adjusted to prioritize the allocation of flow to the area with the largest heat gap to ensure the stability of heating under extreme weather conditions.

[0039] The method in this embodiment can achieve precise control under different outdoor temperature conditions: when T w At 7℃, the energy consumption is 14w / ㎡. The heat energy demand in area 4-2 is 2.75MW, and the heat energy load demand in area 4-1 is 1.39MW. A medium-deep flow rate of 67t / h can meet the total load. The system will allocate the excess capacity of 0.72MW from area 4-1 to area 4-2. When T w At 2℃, the energy consumption is 20w / ㎡, the demand in area 4-2 is 3.93MW, the demand in area 4-1 is 1.99MW, the flow rate is 95t / h, and the excess capacity of area 4-1 is allocated as 1.06MW; when T w At -2℃, the energy consumption is 24w / ㎡, the demand in area 4-2 is 4.72MW, the demand in area 4-1 is 2.38MW, the flow rate is 110t / h, and the allocated capacity is 1.27MW; when T w At -7℃, the energy consumption is 30w / ㎡, the demand in area 4-2 is 5.89MW, the demand in area 4-1 is 2.98MW, the flow rate is 130t / h, the allocation is 1.16MW, and at the same time, the municipal gas heat is supplemented by 0.79MW to ensure that the total load demand is met.

[0040] Through the method of this embodiment, the system can achieve precise coordination of multiple heat sources and stepless heat distribution based on real-time load changes and outdoor temperature conditions, avoiding energy waste, improving heating efficiency and stability, adapting to load fluctuations when occupancy rates do not meet the plan, meeting the differentiated needs of different heating areas, and responding to the development goals of low-carbon and environmental protection.

[0041] As is known from common technical knowledge, this invention can be implemented through other embodiments that do not depart from its spirit or essential characteristics. Therefore, the disclosed embodiments described above are merely illustrative in all respects and are not the only ones. All modifications within the scope of this invention or its equivalents are included in this invention.

Claims

1. A geothermal multi-energy complementary low-carbon heating stepless transmission and distribution system, characterized in that, include: Geothermal source subsystem, heat pump subsystem, municipal heating subsystem, stepless transmission and distribution network, terminal monitoring subsystem, and central intelligent control subsystem; The geothermal source subsystem is used to provide basic heat energy, the heat pump subsystem is used to improve the heating quality or supplement heat, and the municipal heating subsystem serves as a peak-shaving or backup heat source. The stepless distribution network has an inlet header and a return header. The inlet header connects to the heating output ends of the local geothermal source subsystem, heat pump subsystem, and municipal heating subsystem. The return header connects to the return end of the geothermal source subsystem. The stepless distribution network has multiple branch pipelines leading to different heating areas. Each branch pipeline is equipped with a controlled independent variable frequency circulating pump and an electric regulating valve. The terminal monitoring subsystem is used to collect operating parameters from the heat source side, the pipeline side, and the user side; the central intelligent control subsystem connects to and controls the terminal monitoring subsystem, all variable frequency circulating pumps and electric regulating valves, and the geothermal source subsystem to execute a closed-loop control program for data acquisition, heat calculation, strategy generation, and command issuance.

2. The geothermal multi-energy complementary low-carbon heating stepless transmission and distribution system according to claim 1, characterized in that, The continuously variable distribution network specifically includes: a main circulation loop consisting of a main supply pipe and a main return pipe; multiple regional heating branches, each of which is connected to the main supply pipe via a distributor interface and to the main return pipe via a collector interface; on the supply branch pipe leading out from the distributor interface of each regional heating branch, a first electric switch valve, the variable frequency circulation pump, and a second electric regulating valve are installed sequentially along the water flow direction; on the return branch pipe where each regional heating branch merges into the collector interface, a third electric switch valve is installed; a network main circulation pump and a system total flow meter are installed on the main supply pipe upstream of all distributor interfaces; a system total pressure sensor and a system total return water temperature sensor are installed on the main return pipe; the central intelligent control subsystem independently controls the speed of the variable frequency circulation pump and the opening of the second electric regulating valve on different regional heating branches to dynamically change the heat medium flow distribution ratio flowing through different regional heating branches.

3. The geothermal multi-energy complementary low-carbon heating stepless transmission and distribution system according to claim 1, characterized in that, The central intelligent control subsystem comprises a hardware layer and a software layer: The hardware layer includes an industrial programmable logic controller (PLC), a data acquisition module, an analog output module, a digital input / output module, a communication module, and a human-machine interface consisting of a host computer. The software layer includes a control program running in the industrial programmable logic controller (PLC) and a monitoring program running in the host computer; the control program includes a data acquisition and processing subroutine, a heat calculation and analysis subroutine, a control strategy generation subroutine, and an instruction issuance and execution subroutine. The monitoring program provides a graphical interface for real-time display of all temperature, pressure, and flow data collected by the terminal monitoring subsystem, dynamically displaying the heat surplus or heat deficit values ​​of each heating area, as well as the operating frequency of the variable frequency circulating pumps and the opening degree of the electric regulating valves of each branch of the stepless transmission and distribution network.

4. The geothermal multi-energy complementary low-carbon heating stepless transmission and distribution system according to claim 3, characterized in that, The heat calculation and analysis subroutine is configured to execute the following logic: The secondary pipeline water supply temperature data, return water temperature data, and circulating water flow data from the designated heating area are obtained by periodically calling the data acquisition and processing subroutine. Using the first formula Q 耗 =c×m×(T 供 -T 回 Calculate the actual heat consumption Q of this heating area. 耗 Where c is the specific heat capacity constant of water, m is the circulating water mass flow rate obtained from the flow rate data, and T 供 For the secondary network water supply temperature, T 回 The temperature of the secondary network return water is used; simultaneously, the geothermal heat supply Q obtained in this area is calculated based on the collected parameters of the primary and secondary sides of the geothermal heat exchanger. 地 The auxiliary heat supply Q provided by the heat pump subsystem is calculated based on its operating status signal and performance parameters. 辅 The actual heat supply Q of the region is obtained by summing the results. 供 Next, calculate the difference ΔQ = Q. 供 -Q 耗 If ΔQ > 0, then this value is recorded as the heat surplus value ΔQ for that region. 盈 If ΔQ < 0, then the absolute value is recorded as the heat gap value ΔQ for that region. 缺 The above calculations are performed by traversing all heating areas to form a structured list of heat supply and demand differences.

5. The geothermal multi-energy complementary low-carbon heating stepless transmission and distribution system according to claim 3, characterized in that, The regulation strategy generation subroutine is configured to generate, in parallel, a multi-heat source coordinated strategy and a stepless transmission and distribution network regulation strategy based on the heat supply and demand difference list. The generation logic of the multi-heat source coordination strategy is as follows: if the heat supply and demand difference list shows that there is no heat gap in all areas, then an instruction is generated to maintain the operation of the geothermal source subsystem and shut down the heat pump subsystem and the municipal heating subsystem; if there is a heat gap, then an instruction is first generated to optimize the operation of the geothermal source subsystem to maximize the geothermal heat supply; if there is still a gap after the geothermal heat supply is increased, then an instruction to start one or more heat pump subsystems is generated in a preset order. If the heat pump subsystem still has a shortfall after it reaches full load, then an instruction to open the regulating valve of the municipal heating subsystem will eventually be generated. The preset sequence is as follows: when the target temperature minus the operating temperature is ≤ 5℃, one heat pump subsystem is started; when the target temperature minus the operating temperature is > 5℃, the second heat pump subsystem is started. The generation logic of the stepless distribution network regulation strategy is as follows: for specific areas marked as heat deficit in the list, generate instructions to increase the frequency of the variable frequency circulating pump and the opening of the electric regulating valve on the corresponding heating branch; for specific areas marked as heat surplus in the list, generate instructions to decrease the frequency of the variable frequency circulating pump and the opening of the electric regulating valve on the corresponding branch; at the same time, generate instructions to adjust the speed of the total circulating pump in the network to stabilize the system pressure based on the data from the system total pressure sensor.

6. A geothermal multi-energy complementary low-carbon heating stepless transmission and distribution method, applied to the geothermal multi-energy complementary low-carbon heating stepless transmission and distribution system according to any one of claims 1 to 5, characterized in that, Includes the following steps: The terminal monitoring subsystem continuously collects multi-dimensional real-time data on the outlet temperature and flow rate of the geothermal source subsystem, the start-stop status of the heat pump subsystem, the valve opening of the municipal heating subsystem, the supply and return water temperature and pressure of each branch of the stepless distribution network, and the circulating water flow rate and temperature of the secondary network in each heating area. The central intelligent control subsystem then summarizes these data into a real-time system operation parameter dataset. The central intelligent control subsystem calls the built-in computing model to process the real-time operating parameter dataset of the system. For each heating area, it calculates the actual heat consumption based on its secondary network flow and supply and return water temperature difference, and calculates the actual heat supply by combining the contributions of all heat sources. By comparison, it obtains the independent heat surplus value or heat deficit value of each area and generates a complete list of heat supply and demand differences. The central intelligent control subsystem analyzes the heat supply and demand difference list and generates two sets of control commands accordingly. The first set is a multi-heat source coordinated start-stop command, which is used to schedule geothermal sources, heat pumps, and municipal heat sources to match the total load demand. The second set is a stepless transmission and distribution network dynamic adjustment command, which is used to adjust the variable frequency pumps and valves of each branch to directionally allocate heat from the surplus area to the deficit area. The central intelligent control subsystem sends the multi-heat source coordinated start-up and shutdown command and the stepless transmission and distribution network dynamic adjustment command to each actuator. After execution, it obtains feedback data again through the terminal monitoring subsystem. If the deviation between the feedback data and the expected target exceeds the set tolerance, a new round of calculation and adjustment based on the latest feedback data is triggered.

7. The geothermal multi-energy complementary low-carbon heating stepless transmission and distribution method according to claim 6, characterized in that, The specific calculation process for generating a complete list of heat supply and demand differences includes: For any system marked as number i In the heating area of ​​the district, the central intelligent control subsystem extracts the secondary network circulating water mass flow rate (m³) of the area from the real-time operating parameter dataset of the system. i Water supply temperature T 供i and return water temperature T 回i Substitute into formula Q 耗i =c×m i ×(T 供i -T 回i The actual heat consumption Q in this region was calculated. 耗i Simultaneously, the central intelligent control subsystem calculates the geothermal heat supply Q to the i-th zone based on the heat exchange parameters of the geothermal heat exchanger. 地i According to the association with the first i Calculate the auxiliary heating capacity Q of the heat pump unit operating data in the area. 辅i Q 地i With Q 辅i The actual heat supply Q of the area can be obtained by summing the results. 供i Subsequently, the central intelligent control subsystem calculates ΔQ. i =Q 供i -Q 耗i And determine ΔQ i The sign of ΔQ i If the value is greater than 0, then it is the first value in the heat supply and demand difference list. i Create a record in the area, and record the value ΔQ. i Marked as the heat surplus value, if Then the value |ΔQ i | Mark as heat deficit value; perform the above calculation and judgment process repeatedly for all N heating areas in the system, and finally output a list of heat supply and demand differences containing N records.

8. The geothermal multi-energy complementary low-carbon heating stepless transmission and distribution method according to claim 6, characterized in that, The steps for generating dynamic adjustment commands for a continuously variable transmission and distribution network include the following: The central intelligent control subsystem reads the heat supply and demand difference list and parses each record one by one; when it parses a record that is identified as a heat gap and has a gap value of ΔQ, it will... 缺j When recording, the central intelligent control subsystem determines the j-th heating zone corresponding to the record and its associated j-th zone heating branch in the stepless transmission and distribution network; the central intelligent control subsystem uses ΔQ 缺j The magnitude of the value is obtained by consulting a preset frequency-heat correspondence table or by using a proportional-integral algorithm to calculate a target frequency increase value ΔF. j This will generate instructions. j The current operating frequency of the variable frequency circulating pump on the heating branch of area number [number] has increased by ΔF. j Simultaneously, an instruction is generated to proportionally increase the opening of the electric regulating valve on that branch; when a line is parsed that is identified as having a heat surplus with a surplus value of ΔQ... 盈k During the recording process, the central intelligent control subsystem determines the corresponding k-th heating zone and its k-th zone heating branch, and calculates the target frequency reduction value ΔF. k The generated instructions reduce the frequency of the variable frequency circulating pump on branch k and decrease the opening of its electric regulating valve; all the regulation instructions for specific branches together constitute the dynamic regulation instruction set of the continuously variable transmission and distribution network.

9. The stepless transmission and distribution method for geothermal multi-energy complementary low-carbon heating according to claim 6, characterized in that, If the deviation between the feedback data and the expected target exceeds a set tolerance, a new round of calculation and adjustment based on the latest feedback data is triggered. The specific implementation methods include: After a complete control cycle of the dynamic adjustment command set of the continuously variable transmission and distribution network and the multi-heat source coordinated start-stop command, the central intelligent control subsystem activates a feedback monitoring cycle. The terminal monitoring subsystem collects key data on the temperature changes of the secondary network supply and return water in the affected area, the indoor temperature data of key users, and the pressure changes of the main pipeline of the continuously variable transmission and distribution network, forming a system feedback parameter set. The central intelligent control subsystem compares the indoor temperature data in the system feedback parameter set with the preset upper and lower limits of the comfort temperature range, compares the temperature difference between the secondary network supply and return water with the preset economic operating temperature difference range, and compares the main pipeline pressure with the preset stable pressure threshold. When any comparison result exceeds its corresponding set tolerance, the central intelligent control subsystem determines that the previous round of adjustment did not fully achieve the target. At this time, the latest system feedback parameter set is used as a new input to replace or update part of the real-time system operating parameter dataset, immediately re-triggering the entire process from calculating the actual heat consumption and actual heat supply, generating an updated heat supply and demand difference list, and generating new control commands accordingly.

10. The geothermal multi-energy complementary low-carbon heating stepless transmission and distribution method according to claim 6, characterized in that, It also includes a zoned operation strategy that is linked to outdoor temperatures, specifically: The central intelligent control subsystem continuously receives ambient temperature data T from the outdoor temperature sensor. w and T w With the preset high threshold temperature value T high and low threshold temperature value T low Compare; When T w >T high At this time, the central intelligent control subsystem adopts low-load operation logic. At this time, the generated multi-heat source coordinated start-stop command prioritizes the independent operation of the geothermal source subsystem, and the generated stepless transmission and distribution network dynamic adjustment command aims to maintain the minimum flow balance in each area. When T low ≤T w ≤T high At this time, the central intelligent control subsystem adopts conventional adjustment logic, and generates all instructions entirely based on the heat supply and demand difference list; When T w <T low At this time, the central intelligent control subsystem adopts high load protection logic. The generated multi-heat source coordinated start-stop command forces the geothermal source subsystem to full load, puts all heat pump subsystems into operation, and pre-starts the municipal heating subsystem. At the same time, the generated stepless transmission and distribution network dynamic adjustment command is adjusted to prioritize the allocation of flow to the area with the largest heat gap.

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