Air source heat pump-gas condensing boiler and water ground source cold machine coordination method

Abstract

The application discloses a kind of air source heat pump-gas condensing boiler and water ground source cold machine collaborative method, it is related to heating ventilation air conditioning system energy-saving control technical field;The method integrates three major core equipment and edge computing control platform, multidimensional perception system, cross-device waste heat closed-loop recovery system, fault redundancy control system, is linked waste heat recovery and soil heat balance self-adaptive adjustment logic by edge computing control platform, and soil temperature and various operating data are collected by multidimensional perception system, relies on built-in double-algorithm regulation and control waste heat recovery path in platform, distribution ratio and equipment load, realize two-way support.The normal operating condition is according to data acquisition, algorithm operation, collaborative execution step closed-loop control, fault detection, scheme generation, execution adjustment and system reset are completed under fault condition, realize fault redundancy and waste heat recovery collaboration, guarantee system full-condition efficient and stable operation, improve energy efficiency and maintain soil heat balance.

Description

Technical Field

[0001] This invention relates to the field of energy-saving control technology for HVAC systems, specifically a method for coordinating an air-source heat pump, a gas-fired condensing boiler, and a water-source chiller. Background Technology

[0002] In hot-summer and cold-winter regions, the heating, ventilation, and air conditioning (HVAC) systems of large office buildings need to simultaneously meet the demands of centralized cooling in summer, high-load heating in winter, and year-round domestic hot water supply. Existing technologies mostly use air-source heat pumps, gas-fired condensing boilers, and water-source chillers operating individually or in simple combinations. The independent control of each device lacks coordination and is difficult to adapt to the building's large-scale fluctuations in heating and cooling load throughout the year.

[0003] Existing HVAC systems generally suffer from the core technical problem of independent waste heat recovery and soil thermal balance regulation. Waste heat recovery is mostly the direct utilization of waste heat from a single device, without linkage with the soil thermal balance regulation of the underground pipe area of ​​the water source chiller. This can easily lead to soil heat accumulation or excessive heat extraction, disrupting the soil thermal balance and reducing the operating efficiency of the water source chiller. At the same time, waste heat resources are not accurately utilized, and the disconnect between redundant energy replenishment and waste heat utilization under fault conditions further results in low system energy efficiency and poor operational stability, failing to meet the high-efficiency HVAC requirements of large office buildings.

[0004] In view of the above, this application is hereby submitted. Summary of the Invention

[0005] The purpose of this invention is to provide a method for coordinating an air source heat pump, a gas-fired condensing boiler, and a water-source chiller to solve the problems mentioned in the background art.

[0006] To address the aforementioned technical problems, this invention provides a collaborative method for air-source heat pumps, gas-fired condensing boilers, and water-source chillers. This method includes an air-source heat pump, a gas-fired condensing boiler, a water-source chiller, an edge computing control platform, a multi-dimensional sensing system, a cross-equipment waste heat closed-loop recovery system, and a fault redundancy control system. The edge computing control platform is electrically connected to all other equipment and systems. The multi-dimensional sensing system includes a soil temperature monitoring module and an operating parameter monitoring module. The cross-equipment waste heat closed-loop recovery system includes a waste heat recovery module, a heat storage module, and a heat distribution module. The fault redundancy control system includes a fault detection module and a load switching module. A unique technical feature of this collaborative method is that the edge computing control platform synchronously links the cross-equipment waste heat closed-loop recovery system with the soil heat balance adaptive adjustment logic. The soil temperature monitoring module collects real-time soil temperature data in the underground pipe area of ​​the water-source chiller, and the operating parameter monitoring module collects data from various components. Based on the operational and waste heat recovery data of various equipment, the edge computing control platform regulates the waste heat recovery path and heat distribution ratio of the cross-equipment waste heat closed-loop recovery system. Simultaneously, it adjusts the load distribution logic of the soil heat balance adaptive regulation, ensuring that cross-equipment waste heat recovery provides stable heat support for soil heat balance regulation, while soil heat balance regulation provides precise guidance for waste heat recovery. Other necessary technical means are combined according to preset logic to achieve efficient and coordinated operation of the three types of equipment under all operating conditions. This unique technical feature, using the edge computing control platform to link cross-equipment waste heat closed-loop recovery and soil heat balance adaptive regulation as a two-way support logic, precisely distinguishes itself from the shortcomings of existing technologies that rely solely on waste heat recovery, soil heat balance regulation, or unguided waste heat utilization. It clarifies the core logic of mutual promotion between the two and constructs a complete collaborative framework, laying the foundation for efficient operation of the system under all operating conditions and improving system energy efficiency and operational stability.

[0007] Furthermore, the soil temperature monitoring module is deployed at different depths and in different areas within the underground pipe area of ​​the ground-source chiller, collecting soil temperature data in real time and transmitting it to the edge computing control platform. The operating parameter monitoring module collects environmental parameters, system cooling and heating load data, three types of equipment operating parameters, waste heat recovery data, and energy price data. All collected data is transmitted to the edge computing control platform in real time, providing complete data support for coordinated regulation. This achieves comprehensive and accurate collection of soil temperature and various operating data, avoiding regulation deviations caused by missing or incomplete data. It ensures that the edge computing control platform can accurately judge the soil temperature status and waste heat recovery status, providing reliable data guarantee for the coordinated regulation of cross-equipment waste heat recovery and soil thermal balance adjustment, and further improving the accuracy of regulation.

[0008] Furthermore, the waste heat recovery module is connected to the gas-fired condensing boiler, the ground-source chiller, and the air-source heat pump, respectively, to recover the condensing heat of the flue gas condensing water from the gas-fired condensing boiler and the waste heat from the ground-source chiller and the air-source heat pump; the heat storage module is used to store the recovered waste heat; the heat distribution module receives instructions from the edge computing control platform and distributes the recovered waste heat to the system's circulating water pipeline or domestic hot water supply pipeline; the specific operating logic of the cross-equipment waste heat closed-loop recovery system is clarified, realizing the comprehensive recovery, storage, and precise distribution of waste heat from three types of equipment, breaking the limitations of existing single-equipment waste heat recovery technology, maximizing the exploitation of waste heat resources, ensuring that waste heat can be supplied to soil heat balance regulation or domestic hot water use as needed, improving waste heat utilization rate, and reducing heat waste.

[0009] Furthermore, the edge computing control platform incorporates a soil thermal balance adaptive adjustment algorithm and a waste heat collaborative allocation algorithm. After receiving data transmitted from the multi-dimensional sensing system, it uses the soil thermal balance adaptive adjustment algorithm to determine whether the soil temperature is within a preset range, thus determining the adjustment direction and load adjustment requirements. The waste heat collaborative allocation algorithm calculates the optimal waste heat recovery ratio and heat distribution path, and simultaneously outputs control commands to relevant systems and equipment. Through dedicated algorithms, it achieves precise coordination between cross-device waste heat recovery and soil thermal balance adjustment, ensuring that control commands are scientifically sound and avoiding energy waste or adjustment failures caused by blind control. This strengthens the synergistic effect of the two, improving the intelligence level of system operation.

[0010] Furthermore, under normal operating conditions, the coordinated steps of cross-equipment waste heat recovery and soil thermal balance regulation are S1 to S3; S1, the soil temperature monitoring module collects soil temperature data, and the operating parameter monitoring module collects various operating and waste heat recovery data, which are synchronously transmitted to the edge computing control platform; S2, the edge computing control platform uses a built-in algorithm to determine the soil temperature status, determine the direction of soil thermal balance regulation, and the coordinated needs of waste heat recovery; S3, the edge computing control platform regulates the cross-equipment waste heat closed-loop recovery system to adjust the waste heat recovery path and heat distribution ratio, while adjusting the load ratio of the three types of equipment to achieve coordinated cooperation between waste heat recovery and soil thermal balance regulation; the specific steps of the coordination between the two under normal operating conditions are clarified, making the coordination logic clearer and more executable, ensuring that the soil temperature is maintained within the preset range, while achieving precise and efficient utilization of waste heat, avoiding soil thermal imbalance and waste of waste heat, and further improving the energy efficiency and stability of the system during normal operation.

[0011] Furthermore, in S3, when the soil temperature is higher than a preset range, the edge computing control platform instructs the water-source chiller to reduce its cooling load and the air-source heat pump to increase its cooling load. Simultaneously, it regulates the waste heat recovery module to prioritize the recovery of the condensation heat from the water-source chiller, storing it in the heat storage module for preheating domestic hot water, thus helping to alleviate soil heat accumulation. When the soil temperature is lower than a preset range, the edge computing control platform instructs the water-source chiller to reduce its heat extraction load and the gas-fired condensing boiler to increase its supplementary heat load. Simultaneously, it regulates the waste heat recovery module to recover the flue gas condensation heat from the gas-fired condensing boiler and the stored waste heat, preheating the system's circulating water and reducing soil heat extraction pressure. This refines the collaborative control logic under different soil temperature conditions, achieving precise adaptation for both soil heat accumulation and excessive heat extraction scenarios, further strengthening the mutual promotion effect between the two, improving soil thermal balance regulation efficiency, and maximizing the utilization of waste heat resources while reducing system energy consumption.

[0012] Furthermore, the fault detection module monitors the operating status of the three types of equipment and the cross-equipment waste heat closed-loop recovery system in real time. When any equipment fault is detected, a fault signal is immediately sent to the edge computing control platform. After receiving the fault signal, the edge computing control platform adjusts the load ratio of the remaining equipment through the load switching module to take over the entire load of the faulty equipment. At the same time, it regulates the cross-equipment waste heat closed-loop recovery system to adjust the waste heat recovery path, maximizing the recovery of usable waste heat and providing heat support for redundant energy replenishment. The collaborative logic of fault redundancy control and waste heat recovery is clarified, realizing rapid response and seamless load switching when equipment fails, while maintaining continuous waste heat recovery. This solves the problems of interrupted waste heat recovery and surged energy consumption during system shutdown under fault conditions in existing technologies, and improves the reliability of system operation.

[0013] Furthermore, when the water-source chiller fails, the edge computing control platform instructs the air-source heat pump and the gas-fired condensing boiler to operate collaboratively through the load switching module, taking over all the cooling and heating loads of the water-source chiller. Simultaneously, it regulates the waste heat recovery module to adjust the recovery path, prioritizing the recovery of flue gas condensing heat from the gas-fired condensing boiler and waste heat from the air-source heat pump, storing them in the heat storage module to provide auxiliary heat for redundant energy replenishment and maintain continuous waste heat recovery. This clarifies the specific collaborative scheme for water-source chiller failures, achieving precise coordination between fault redundancy replenishment and waste heat recovery. This ensures stable system load supply while avoiding interruptions in waste heat recovery due to water-source chiller failures, reducing energy consumption under fault conditions, and improving system reliability and waste heat utilization efficiency.

[0014] Furthermore, when the gas-fired condensing boiler fails, the edge computing control platform instructs the water-source chiller and air-source heat pump to operate collaboratively through the load switching module, taking over the supplementary heating load of the gas-fired condensing boiler; at the same time, it regulates the waste heat recovery module to adjust the recovery path, prioritizing the recovery of condensing heat from the water-source chiller and waste heat from the air-source heat pump, and releasing the waste heat stored in the heat storage module to provide heat support for redundant energy supplementation, while also helping to maintain soil thermal balance; the specific collaborative scheme for the gas-fired condensing boiler failure is clarified, realizing triple collaboration of fault redundancy energy supplementation waste heat recovery and soil thermal balance regulation, which not only ensures system load stability, but also maintains continuous waste heat recovery, avoids soil thermal imbalance caused by redundant energy supplementation, and improves the overall performance of the system under fault conditions.

[0015] Compared with the prior art, the beneficial effects of the present invention are: 1. This invention utilizes an edge computing control platform to link a cross-device waste heat closed-loop recovery system with soil thermal balance adaptive regulation logic. This core technology breaks through the limitations of independent control in existing technologies, allowing cross-device waste heat recovery to provide stable heat support for soil thermal balance regulation, while soil thermal balance regulation provides precise guidance for waste heat recovery. This achieves synergistic regulation with mutual support and promotion between the two. This technology enables precise and scenario-based utilization of waste heat resources, effectively avoiding the problems of soil heat accumulation or excessive heat extraction. It improves waste heat utilization efficiency, maintains stable soil thermal balance, significantly optimizes the operating energy efficiency of HVAC systems, and fundamentally solves the problems of energy waste and soil imbalance caused by single regulation.

[0016] 2. This invention constructs an operational system that deeply coordinates fault redundancy control and waste heat recovery. When equipment fails, seamless energy replenishment is achieved through a load switching module, while simultaneously adjusting the waste heat recovery path to maximize the recovery of usable waste heat to provide thermal support for redundant energy replenishment. This technical approach achieves continuous and stable system operation under fault conditions, avoiding the problems of waste heat recovery interruption and energy consumption surges, while also maintaining soil thermal balance. This allows the system to maintain a highly efficient and coordinated operating state under both normal and fault conditions, significantly improving the system's reliability and overall performance, and overcoming the limitations of existing fault redundancy control technologies that only focus on load switching.

[0017] 3. This invention achieves comprehensive and accurate collection of soil temperature and various operational data through a multi-dimensional sensing system. Combined with a proprietary algorithm built into the edge computing control platform, it enables intelligent and precise control of equipment load, waste heat recovery paths, and heat distribution ratios. Simultaneously, the system is specifically deployed for the characteristics of large office buildings in hot-summer and cold-winter regions, ensuring a high degree of adaptation between equipment operation and scenario load requirements. This technology improves the accuracy and intelligence of system control, reduces control deviations, and allows the system to adapt to usage scenarios with drastic fluctuations in heating and cooling loads. It combines ease of operation with practical applicability, aligns with the development trends of green building and energy conservation and emission reduction, and possesses significant economic and environmental benefits. Attached Figure Description

[0018] Figure 1 This is a flowchart of a method for coordinating an air source heat pump, a gas-fired condensing boiler, and a water-source chiller. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Please see Figure 1 This invention provides a technical solution: a collaborative method for air-source heat pumps, gas-fired condensing boilers, and water-source chillers. The core is the integration of three core devices and supporting systems to form a complete collaborative system. Through the linkage of each component, it achieves deep collaboration between cross-equipment waste heat closed-loop recovery and adaptive soil thermal balance adjustment, adaptable to large office building scenarios in hot-summer, cold-winter regions. This embodiment is designed for a large office building in a hot-summer, cold-winter region. This scenario features a large building area, significant fluctuations in heating and cooling loads throughout the year, concentrated cooling in summer, high heating demand in winter, year-round supply of domestic hot water, limited underground space, and difficulties in maintaining soil thermal balance. The unique advantage of this invention is that it breaks through the limitations of existing technologies where waste heat recovery and soil thermal balance adjustment are independent, and fault redundancy and waste heat utilization are disconnected. Through an edge computing control platform, it achieves bidirectional support and collaboration, linking the fault redundancy system to form a closed loop under all operating conditions, significantly improving system energy efficiency and stability, reducing energy consumption, optimizing soil thermal balance maintenance, and enhancing continuous operation capability under fault conditions.

[0021] I. Preliminary Preparations for Collaborative System Integration and Collaborative Methods (S0 Step): 1.1 Overall integration and deployment of the collaborative system (including equipment deployment in step S0), the specific integration and deployment and functions are as follows: 1.1.1 Core Equipment Integration and Deployment: Core equipment includes air source heat pumps, gas-fired condensing boilers, and water / ground source chillers. These are deployed according to the office building's load zones to avoid overloading individual units, providing the hardware foundation for coordinated control, and simultaneously completing the core equipment deployment requirements of step S0. The air source heat pump is deployed on the roof of the office building, adopting a modular, high-efficiency variable frequency design, and has the function of both cooling and heating. The optimized heat exchanger structure improves the feasibility of waste heat recovery. Its basic principle is based on the publicly available document on air source heat pump heat exchange optimization devices. Unlike the limitations of the air source heat pump operating alone or only in coordination with a single device in that document, in this solution, it acts as the core of the coordination, and the waste heat is incorporated into the waste heat closed-loop recovery system. The load can be dynamically adjusted according to the soil thermal balance and fault redundancy requirements to achieve seamless coordination, and the waste heat utilization rate and equipment synergy are significantly improved.

[0022] The gas-fired condensing boiler is deployed in an underground equipment room, employing fully premixed combustion technology and equipped with a flue gas condensing heat recovery interface that connects directly to the waste heat recovery module. The basic technology references publicly available documents on gas-fired condensing boiler flue gas waste heat recovery systems. However, unlike the limitations of directly utilizing single-unit flue gas waste heat recovery in those documents, this solution forms a closed-loop recovery system with waste heat from other equipment. It precisely allocates waste heat based on soil thermal balance and domestic hot water demand, integrating waste heat recovery with soil conditioning and fault-based energy replenishment, thus enhancing the targeting and practicality of waste heat recovery.

[0023] The ground-source water chiller is deployed in an underground equipment room, with vertical underground piping covering different depths around the office building. This ensures comprehensive soil temperature monitoring and uniform heat extraction and release, and provides bidirectional cooling and heating capabilities. While referencing publicly available documents on ground-source water chiller operation control and piping systems, this solution differs from the limitations of single-operation or simple coordination described in those documents. In this solution, the chiller operates collaboratively with other equipment, with its load ratio dynamically adjusted according to soil temperature. It can be replaced in case of failure, resolving issues of downtime and soil thermal imbalance in traditional scenarios and improving system stability.

[0024] 1.1.2 Edge Computing Control Platform Deployment: This platform is deployed in the control center of the underground equipment room and is electrically connected to all core equipment and supporting systems to realize real-time data acquisition, analysis, and command output. It synchronously completes the deployment requirements of the S0 step control platform and is the core control unit of the collaborative system.

[0025] The platform features data storage, algorithm computation, and fault alarm functions, calculating the optimal control scheme through two built-in core algorithms. While referencing publicly available documents on edge computing applications in HVAC systems, this solution differs from those that limit edge computing to controlling only a single device or system. Its core principle is the synchronized linkage between waste heat recovery and soil thermal balance regulation. The two algorithms work collaboratively to synchronously regulate waste heat paths, distribution ratios, and equipment loads, forming a closed-loop control system. This system, coupled with fault-tolerant redundancy, enables rapid response and significantly improves control accuracy and synergy.

[0026] Soil thermal balance adaptive adjustment algorithm: This algorithm receives soil temperature data in real time, compares it with a preset range to determine the temperature status, and adjusts equipment load accordingly: if the temperature is too high, it reduces heat release from the water-source chiller and increases cooling from the air-source heat pump; if the temperature is too low, it reduces heat extraction from the water-source chiller and increases supplementary heating from the gas-fired condensing boiler; under normal conditions, it maintains the load and monitors it. Referring to publicly available documents on soil thermal balance adaptive adjustment algorithms for HVAC systems, this algorithm differs from those that only adjust individually and do not link with waste heat. It incorporates waste heat data to support the waste heat distribution algorithm, enabling collaborative computation and improving adjustment efficiency.

[0027] Waste heat collaborative allocation algorithm: Receives waste heat data and soil conditioning instructions, and calculates the optimal recovery ratio and allocation path based on load and energy price. For excessively high temperatures, priority is given to allocating condensing heat from water-source chillers to domestic hot water pipelines; for excessively low temperatures, priority is given to allocating waste heat from gas-fired condensing boilers and stored waste heat to circulating water pipelines; under normal conditions, priority is given to domestic hot water supply, with remaining waste heat stored; in fault conditions, the path is adjusted to accommodate redundant energy replenishment. Referring to publicly available documents on HVAC system waste heat collaborative allocation methods, this algorithm differs from the limitations of simply allocating waste heat in those documents. It is deeply integrated with soil conditioning and fault energy replenishment, improving waste heat utilization and system stability.

[0028] 1.1.3 Multi-dimensional Sensing System Deployment: This system comprises two main modules: soil temperature monitoring and operational parameter monitoring. Distributed deployment ensures comprehensive and real-time data, supporting platform control and simultaneously fulfilling the S0 step sensing system deployment requirements, providing the hardware foundation for subsequent data acquisition steps. The basic technology references the publicly available document "Multi-dimensional Sensor Monitoring System for HVAC Systems." Unlike the limitations of single, isolated data acquisition methods described in that document, this system simultaneously collects and collaboratively utilizes soil temperature, operational parameters, and waste heat data, ensuring the platform has a comprehensive understanding of the system status, enabling precise algorithmic calculations, and significantly improving data utilization.

[0029] 1.1.3.1 Soil Temperature Monitoring Module: Sensors are deployed at different depths and in different areas of the underground pipe-buried area, following a uniform distribution principle to cover shallow, medium, and deep soil layers. This avoids data bias, adapts to complex underground environments, and synchronizes the data acquisition frequency with the platform algorithm, fulfilling the module debugging requirements of step S0. In this embodiment, the pipe-buried area is divided into four zones, with one sensor deployed at each of the three depths in each zone, for a total of 12 sensors. This ensures comprehensive data collection and transmission to the platform. The basic technology references a publicly available document titled "Distributed Soil Temperature Monitoring System." Unlike the centralized deployment and single-monitoring limitations described in that document, this module's distributed deployment is suitable for office building scenarios. Data acquisition is linked with waste heat and equipment operation data, improving monitoring accuracy and data utilization.

[0030] 1.1.3.2 Operational Parameter Monitoring Module: Deployed in various core equipment, waste heat systems, and pipelines, this module collects five types of data: environment, load, equipment operation, waste heat recovery, and energy prices. The data is transmitted to the platform in real time, fulfilling the S0 step module debugging requirements and providing complete data support. In this embodiment, each monitoring unit is precisely deployed according to the scenario: the environment unit monitors outdoor temperature and humidity; the load unit monitors the air conditioning and domestic hot water loads on each floor; the equipment unit monitors the operational parameters of the three core equipment units; the waste heat unit monitors data from each module of the waste heat system; and the energy unit collects electricity and gas prices in real time. Based on the publicly available document "Comprehensive Monitoring Device for HVAC Equipment Operational Parameters," this module differs from the limitations of incomplete parameter collection and isolated data in that document. It provides comprehensive data types, synchronous transmission, and collaborative utilization. The collection frequency is synchronized with platform control, avoiding data lag and improving the comprehensiveness and accuracy of control.

[0031] 1.1.4 Deployment of a Cross-Equipment Waste Heat Closed-Loop Recovery System: This system comprises three main modules: waste heat recovery, heat storage, and heat distribution. These modules are interconnected to form a closed loop, ensuring comprehensive waste heat recovery, efficient storage, and precise distribution. It simultaneously fulfills the waste heat system deployment requirements of step S0 and provides hardware support for subsequent waste heat-related steps. The basic technology references publicly available documents on cross-equipment waste heat closed-loop recovery systems. Unlike the independent operation and energy-saving limitations of those documents, this system dynamically adjusts the waste heat recovery path and distribution ratio based on soil conditions and fault conditions, forming a closed loop of "waste heat recovery - soil balance - fault energy replenishment," thus improving the practicality of waste heat recovery and system synergy.

[0032] 1.1.4.1 Waste Heat Recovery Module: Connected to the three core devices, this module recovers various types of waste heat through dedicated heat exchange equipment. Equipped with flow regulating valves and platform linkage, it achieves precise control of the recovery volume, adapts to soil conditioning and domestic hot water needs, and fulfills the S0 step module commissioning requirements. In this embodiment, each recovery unit is deployed specifically: the gas-fired condensing boiler side uses a plate heat exchanger to recover flue gas condensation heat, equipped with insulated piping; the water-source chiller side uses a shell-and-tube heat exchanger to recover condensation heat, with adjustable heat exchange efficiency; the air-source heat pump side uses a coil heat exchanger to recover defrosting and compressor waste heat without affecting normal equipment operation. Based on the publicly available multi-device waste heat integrated recovery device, this module differs from the limitations of single recovery and direct utilization described in that document. The three units work together to form a cross-device recovery closed loop, combining waste heat recovery with soil conditioning and fault-tolerant energy replenishment to improve waste heat utilization and system synergy.

[0033] 1.1.4.2 Heat Storage Module: Deployed in the underground equipment room, connected to the waste heat recovery and distribution module, it uses an insulated hot water storage tank equipped with temperature monitoring and insulation. Through flow regulation valves linked to the platform, it adjusts the storage and output flow rates to solve the mismatch between waste heat supply and demand, providing support for fault redundancy and energy replenishment, and fulfilling the S0 step module commissioning requirements. The tank capacity is adapted to the waste heat generation and domestic hot water demand of the office building, ensuring minimal heat loss. The basic technology references publicly available documents on HVAC system waste heat storage devices. Unlike the limitations of single storage and direct output described in those documents, this module stores mixed waste heat from three types of equipment. It can be dynamically recalled based on soil conditions and fault conditions, improving the flexibility and practicality of waste heat storage, supporting soil balancing and fault replenishment.

[0034] 1.1.4.3 Heat Distribution Module: Deployed in the underground equipment room, connecting the storage and recovery modules and system piping, it adopts a multi-path distribution pipeline, equipped with flow regulation and monitoring units, and works in conjunction with the platform to achieve precise control of the distribution ratio, fulfilling the S0 step module debugging requirements, and realizing the coordination of waste heat, soil conditioning, and domestic hot water supply. The output end is divided into two branches: a circulating water pipeline branch for preheating circulating water to alleviate soil thermal pressure; and a domestic hot water pipeline branch for preheating domestic hot water to reduce additional energy consumption. The basic technology references the publicly available document on precise waste heat distribution system. Unlike the fixed path and limited compatibility with only domestic hot water in that document, this module's distribution logic is deeply integrated with soil conditioning and fault replenishment, dynamically adjusting the path and ratio to achieve the dual goals of energy saving and stability, improving distribution accuracy and practicality.

[0035] 1.1.5 Deployment of Fault Redundancy Control System: This system comprises two main modules: fault detection and load switching. Working together, they achieve rapid fault response, seamless load switching, and continuous operation with waste heat recovery, preventing downtime from impacting office building operations. Simultaneously, it fulfills the S0 step redundancy system deployment requirements, providing hardware support for subsequent fault handling. The basic technology references publicly available documents on HVAC system fault redundancy control devices. Unlike those documents that only implement load switching without linking waste heat, this system performs load switching and waste heat path adjustment simultaneously under fault conditions, utilizing waste heat to support redundant energy replenishment, reducing fault energy consumption, and improving overall performance under fault conditions.

[0036] 1.1.5.1 Fault Detection Module: Deployed in all core equipment and waste heat systems, this module monitors operational status in real time, promptly detects faults and sends signals to the platform, records fault information to support maintenance, synchronizes detection frequency with equipment operation, has on-site alarm functionality, and fulfills the S0 step module debugging requirements. In this embodiment, the detection unit is deployed in key components of each piece of equipment and in each module of the waste heat system, determining faults by comparing operating parameters with preset ranges. Based on the publicly available document "Multi-Equipment Fault Comprehensive Detection System," this module differs from the limitation of only detecting core equipment described in that document. Its detection scope is comprehensive, and detection data is used in conjunction with waste heat and soil data to ensure comprehensive fault detection, supporting the platform in developing optimal redundancy solutions and improving fault detection synergy.

[0037] 1.1.5.2 Load Switching Module: Deployed in the underground control center, electrically connected to the platform and all core equipment, it receives platform commands to adjust load proportions, takes over the load of faulty equipment, and adopts intelligent switching pipelines and adjustment units. It has both manual and automatic modes to ensure system stability during the switching process and complete the S0 step module commissioning requirements. The basic technology references the publicly available document "Seamless Load Switching Device for HVAC Equipment." Unlike that document which only switches loads without considering waste heat, this module performs load switching and waste heat path adjustment simultaneously. The switching ratio is dynamically adjusted based on soil conditions and waste heat status to avoid soil thermal imbalance. It achieves coordinated fault energy replenishment, waste heat recovery, and soil regulation, solving the problems of energy surges, soil imbalance, and waste heat interruption in traditional fault conditions, and improving switching stability and energy consumption control.

[0038] 1.2 Preliminary Preparation Steps (S0) Remaining Operations (e.g., debugging, parameter presetting, personnel training): After completing the system integration and deployment, proceed with the remaining operations of step S0 to ensure system readiness and lay the foundation for subsequent collaborative operation. Specifically, this includes: comprehensively debugging all equipment and systems to ensure that all modules operate normally, data transmission is smooth, and control commands are effective; pre-setting relevant parameters such as soil temperature, equipment load, and waste heat recovery based on the characteristics of the office building scenario, and inputting them into the platform for collaborative control; training staff to ensure they are proficient in operating the equipment and mastering troubleshooting and manual control methods.

[0039] Example: In this embodiment, the office building presets relevant parameters according to soil characteristics and load requirements. After debugging, it is confirmed that each module is operating normally. The effectiveness of the redundant system is verified by simulating faults. The parameters are entered and personnel training is completed before the system enters normal operating conditions.

[0040] Unlike publicly available documents that only deploy and debug a single system in the early stages of preparation, this step combines scenario-specific deployment and pre-setup, focusing on debugging the collaborative adaptability of multiple systems. The pre-set parameters take into account energy efficiency, economy, and soil balance, reducing subsequent control deviations, improving system stability, and lowering the failure rate. The targetedness and comprehensiveness of the early stages of preparation are significantly improved.

[0041] II. Normal Operating Condition Coordination Steps (S1): After completing step S0, the system enters normal operating condition, covering three sub-scenarios: summer cooling, winter heating, and transitional seasons. The core is to achieve deep coordination between waste heat recovery and soil thermal balance through platform linkage of various systems, dynamically adjust relevant parameters, meet load demands, and reduce energy consumption. The coordination steps are divided into S11 to S13 in a closed loop, as follows: 2.1 Data Acquisition and Transmission Steps (S11): This step is the foundation of coordinated control. A multi-dimensional sensing system comprehensively and in real-time collects various types of data, synchronously transmitting them to the platform to provide reliable support for algorithm calculations, avoid control deviations, and link the sensing system and the platform to complete data acquisition, transmission, and preliminary processing. Specific technical means are as follows: The sensing system is activated; the soil temperature module collects soil temperature data at different depths and regions according to the platform's algorithm frequency; the operating parameter module synchronously collects five types of data: environment, load, equipment operation, waste heat recovery, and energy prices; all data is transmitted to the platform via a dedicated line. The platform filters and organizes the data, removes anomalies, stores valid data, and transmits it to the two main algorithms to support calculations.

[0042] Example: During the summer cooling peak, outdoor temperature and humidity are high. The water source chiller is the main cooling unit, the air source heat pump is the auxiliary unit, and the gas boiler is shut down. The sensing system collects data showing that the temperature of the middle layer of soil in the south is close to the preset upper limit, while the rest of the data is normal. The platform filters out the data and transmits the valid data to the algorithm.

[0043] Referring to publicly available documents on HVAC system data acquisition and transmission methods, this step differs from the limitations of single, asynchronous, and isolated data acquisition in those documents. It simultaneously collects multiple types of data and utilizes them collaboratively. The platform filters out abnormal data to ensure accuracy, providing reliable data support for the coordinated regulation of waste heat and soil. The comprehensiveness, real-time performance, and utilization rate of the data are significantly improved.

[0044] 2.2 Algorithm Calculation and Control Instruction Generation Step (S12): This step is the core of coordinated control. The platform uses two algorithms to perform coordinated calculations, combined with the data from step S11, to determine the system status, identify the adjustment direction and parameters, generate precise control instructions, and output them synchronously. This provides a basis for subsequent execution steps and is one of the core manifestations of the unique technical means of this solution. The specific technical means are as follows: After receiving valid data, the platform synchronously starts the coordinated calculations of two algorithms: the soil heat balance algorithm compares the soil temperature with the preset range, determines the status, calculates the equipment load adjustment amount, and transmits it to the waste heat distribution algorithm; the waste heat distribution algorithm combines waste heat, load, and energy price data to calculate the recovery ratio and distribution path; the platform integrates the calculation results and generates three types of control instructions: equipment load, waste heat recovery, and heat distribution, which are synchronously output to each device and system.

[0045] Example: Continuing with the S11 scenario, the platform algorithm determines that the soil temperature is too high, calculates that the water source chiller should reduce its load and the air source heat pump should increase its load, and prioritizes the recovery of the condensing heat of the water source chiller and distributes it to the domestic hot water pipeline. The generated instructions are then synchronously output to the relevant equipment and systems.

[0046] Referring to publicly available documents on HVAC system algorithm calculation and control command generation methods, this step differs from the limitations of single algorithm calculation and isolated command output in that document. The two algorithms are calculated collaboratively, deeply binding soil regulation and waste heat distribution. The synchronous output of commands ensures the coordination of regulation, avoids energy waste and soil imbalance caused by blind regulation, takes into account economic efficiency, and significantly improves the scientific and rational nature of coordinated regulation.

[0047] 2.3 Collaborative Execution and Status Monitoring Steps (S13): This step is crucial for collaborative control. All equipment and systems synchronously execute control commands to achieve coordinated waste heat recovery and soil thermal balance. Simultaneously, real-time monitoring via a sensing system and fault detection module promptly corrects control deviations, ensuring continuous and stable collaboration and forming a closed loop across all systems. Specific technical measures are as follows: Upon receiving commands, all equipment and systems execute synchronously: the three core devices adjust their load and operating modes to meet load demands; the waste heat system adjusts its recovery ratio, storage output flow, and distribution path to ensure accurate waste heat utilization; the sensing system continuously collects various data and transmits them to the platform; the platform compares the calculation results with actual data to determine the collaborative effect; if there is no deviation, the commands are maintained; if there is a deviation, the commands are recalculated and adjusted; the fault detection module monitors for equipment malfunctions, and the platform promptly fine-tunes the commands to ensure system normal operation.

[0048] Example: Following the S12 scenario, the water-source chiller reduces its load, the air-source heat pump increases its load, the waste heat system increases the condensation heat recovery ratio of the water-source chiller and prioritizes its allocation to the domestic hot water pipeline. The sensing system detects that the soil temperature in the south is gradually decreasing. There is no control deviation. The platform maintains the command and only fine-tunes the outlet water temperature of the water-source chiller to ensure normal operation.

[0049] Winter heating conditions: Soil temperature monitoring revealed that the deep soil temperature in the north was below the preset lower limit. Outdoor temperatures were low, heating load was high, and electricity prices were low during off-peak hours. The platform instructed the water-source chiller to reduce heat extraction, the air-source heat pump to increase heating, and the gas boiler to supplement heating. The waste heat system prioritized the recovery of flue gas condensation heat from the gas boiler and distributed it to the circulating water pipeline. Preheating the circulating water reduced the pressure on soil heat extraction. Monitoring showed that soil temperature rebounded and load supply was sufficient, and the coordinated operation continued.

[0050] During the transitional season, the cooling and heating loads are low and the soil temperature is normal. The platform commands the air source heat pump to operate independently to handle a small load. The waste heat system recovers its waste heat and distributes it to the domestic hot water pipeline. The remaining waste heat is stored. Monitoring shows that the synergistic effect is good and the system is operating stably.

[0051] Referring to publicly available documents on collaborative execution and monitoring methods for HVAC systems, this step differs from the limitations of independent equipment execution, asynchronous control, and lack of dynamic correction in those documents. In this step, all systems execute synchronously and cooperate with each other. The platform monitors and dynamically corrects deviations in real time, ensuring that waste heat recovery and soil conditioning promote each other, adapting to different seasonal scenarios. Soil conditioning efficiency, waste heat utilization rate, and load supply stability are significantly improved, and energy waste is reduced.

[0052] III. Collaborative Steps for Fault Operation Conditions (S2): When the fault detection module detects a device or system fault, the system automatically switches to fault operation conditions. The core of this is through the edge computing control platform linking the fault redundancy control system and the cross-device waste heat closed-loop recovery system. This achieves rapid fault response, seamless load switching, and continuous utilization of waste heat recovery, while maintaining soil thermal balance to ensure continuous system operation and reduce the impact of faults on office building operations. The collaborative steps for fault operation conditions are divided into S21 to S24, conducted in a closed loop, as detailed below: 3.1 Fault Detection and Signal Transmission Step (S21): This step is a prerequisite for collaborative control of fault conditions. Its core purpose is to monitor the real-time operating status of each device and system through the fault detection module, detect faults accurately and promptly, and quickly transmit fault signals to the edge computing control platform. This ensures the platform can grasp fault information immediately, activate fault redundancy control logic, and prevent the fault from escalating and causing system downtime. Simultaneously, it provides fault parameter support for subsequent load switching and waste heat path adjustment. This step links the fault detection module, the multi-dimensional sensing system, and the edge computing control platform to achieve fault detection, signal acquisition, and rapid transmission. The specific technical means are as follows: The fault detection module continuously monitors the operating status of each module of the air source heat pump, gas-fired condensing boiler, water-source chiller, and cross-equipment waste heat closed-loop recovery system. It collects parameters such as operating current, voltage, temperature, pressure, and flow rate of each device and module, and compares them with preset fault judgment thresholds. When the operating parameters are detected to exceed the threshold and cannot be restored to normal through fine-tuning, it is immediately judged as a fault of the equipment or module, and the fault type (such as equipment shutdown, abnormal heat exchange efficiency, pipeline blockage, etc.), fault location, and fault severity are identified, and a fault signal is generated. At the same time, the multi-dimensional sensing system synchronously collects soil temperature data, waste heat recovery data, system load data, and energy price data at the time of the fault, and transmits them to the edge computing control platform synchronously with the fault signal. After receiving the fault signal and related data, the edge computing control platform immediately activates the fault alarm function, sends an alarm signal to the staff, and stores the fault information and current system operating data to provide support for fault diagnosis, maintenance, and subsequent collaborative control.

[0053] Example: In this embodiment, during winter heating, the fault detection module detects that the operating current of the water-source chiller compressor exceeds the preset fault threshold and cannot be restored to normal through platform fine-tuning. This is determined to be a water-source chiller fault (shutdown fault), with the fault location identified as the compressor and the fault type as equipment shutdown. Simultaneously, the multi-dimensional sensing system collects data showing that the current deep soil temperature in the northern region is below the preset lower limit, the office building heating load is high, the gas price is higher than the electricity price, and the waste heat storage module stores a certain amount of flue gas condensing heat from the gas-fired condensing boiler and waste heat from the air source heat pump. The waste heat recovery module currently mainly recovers the flue gas condensing heat from the gas-fired condensing boiler. All fault signals and related data are synchronously transmitted to the edge computing control platform, which immediately activates the fault alarm, notifies staff to investigate and repair, and stores the relevant data.

[0054] The unique technical approach of this step lies in the simultaneous execution of fault detection and multi-dimensional data acquisition. Fault signals and system operation data are transmitted collaboratively, unlike the limitations of isolated fault detection and signal transmission in publicly available documents. While these documents describe conventional fault detection and signal transmission techniques for HVAC systems, they only detect faults and transmit fault signals without simultaneously collecting relevant parameters such as soil temperature, waste heat recovery, and load data. This results in the edge computing control platform being unable to fully grasp the system state at the time of the fault, making it difficult to quickly formulate optimal fault redundancy control schemes. In this step, the fault detection module works collaboratively with the multi-dimensional sensing system to simultaneously collect fault information and system operation data. This ensures the platform can comprehensively grasp the fault type, soil condition, waste heat status, and load demand, providing complete support for subsequent load switching and waste heat path adjustment, preventing fault escalation, and providing detailed data for fault repair. This significantly improves the comprehensiveness and practicality of fault detection compared to publicly available documents, demonstrating a substantial improvement in fault detection accuracy and signal transmission collaboration.

[0055] 3.2 Fault Judgment and Redundancy Control Scheme Generation Step (S22): This step is the core of collaborative control under fault conditions. Its main purpose is for the edge computing control platform to determine the fault level and impact range based on the fault signals and related data transmitted in step S21. Combining this with soil temperature conditions, waste heat recovery status, system load demand, and energy prices, it generates a targeted redundancy control scheme, clarifying the load switching ratio, waste heat recovery path adjustment scheme, and soil thermal balance auxiliary adjustment measures. This ensures that the scheme can achieve seamless load switching and maintain continuous system operation, while also considering waste heat utilization and soil thermal balance, reducing energy consumption under fault conditions, and providing a clear basis for subsequent scheme execution. This step only links the edge computing control platform; its core is the coordination between the fault judgment logic and the redundancy scheme generation logic. The specific technical means are as follows: After receiving fault signals and related data, the edge computing control platform first performs fault judgment, classifying fault levels (minor fault, general fault, severe fault) according to fault type, fault location, and fault severity, and determining the scope of the fault's impact on system operation (e.g., single device fault, multiple device fault, waste heat system fault, etc.); secondly, combining soil temperature data transmitted by the multi-dimensional sensing system, it determines the current soil thermal balance state and determines the priority of soil regulation; combining waste heat recovery data, it determines the current waste heat recovery amount, waste heat storage amount, and waste heat temperature, and determines the priority of waste heat utilization; combining system load data, it clarifies the current writing... The platform measures the building's heating and cooling load requirements to ensure uninterrupted load supply. It also optimizes load switching ratios based on energy price data to reduce operating costs during malfunctions. Finally, through its built-in fault redundancy control logic, the platform integrates all the above parameters to generate a redundancy control scheme. This scheme includes load switching instructions (clearly defining the load percentage of remaining equipment), waste heat recovery path adjustment instructions (clearly defining the waste heat recovery ratio and heat distribution path), soil heat balance auxiliary adjustment instructions (clearly defining additional soil adjustment measures), and emergency response measures (such as manual control backup schemes). These are simultaneously output to relevant equipment and systems, and also sent to staff for real-time monitoring of the control situation.

[0056] Example: Following the scenario example in S21, after receiving the shutdown fault signal and related data from the water-source chiller, the edge computing control platform performs fault judgment: the fault type is a single device shutdown fault, the fault level is a general fault, and the affected scope is the heat extraction and waste heat recovery links related to the water-source chiller, without affecting the normal operation of other equipment and waste heat systems; combined with soil temperature data, the current deep soil temperature in the northern region is below the preset lower limit, the soil thermal balance is poor, and soil regulation priority is higher than waste heat utilization priority; combined with waste heat recovery data, the current waste heat storage module stores a certain amount of waste heat, and the waste heat recovery module can normally recover waste heat from the gas-fired condensing boiler and air source heat pump, with waste heat utilization priority being the next highest; combined with load data, the current office building heating load is high, and load supply priority is the highest; combined with energy price data, the current period is off-peak electricity time, with low electricity prices and high gas prices, so the load share of the air source heat pump is increased first, and the load share of the gas-fired condensing boiler is reduced to reduce operating costs; the platform generates a redundancy control scheme. The load switching command increases the load share of the air source heat pump while maintaining the load share of the gas-fired condensing boiler at a basic level, taking over all the heat extraction load of the water-source chiller to ensure sufficient heating supply. The waste heat recovery path adjustment command increases the recovery ratio of flue gas condensing heat from the gas-fired condensing boiler, recovers all waste heat from the air source heat pump, and stops recovering waste heat from the water-source chiller (due to equipment shutdown). The heat distribution path prioritizes the distribution of recovered and stored waste heat to the system's circulating water pipes to preheat the circulating water, reduce soil heat extraction pressure, and help increase soil temperature. The remaining waste heat continues to be stored in the heat storage module. The soil heat balance auxiliary adjustment command appropriately reduces the outlet temperature of the circulating water during the air source heat pump heating process to reduce soil heat extraction intensity and prevent further drop in soil temperature. A manual control backup plan is also provided. If the automatic control deviates, staff can manually adjust the load share and waste heat distribution ratio. The plan is simultaneously output to the air source heat pump, the gas-fired condensing boiler, the cross-equipment waste heat closed-loop recovery system, and staff.

[0057] The unique technical approach of this step lies in the deep integration of fault diagnosis with soil thermal balance regulation, waste heat utilization, and economic optimization. The redundancy control scheme addresses multiple needs, unlike the limited fault redundancy schemes in publicly available documents that only consider load switching. While publicly available methods for generating HVAC system fault redundancy schemes describe conventional techniques, they only formulate load switching plans based on fault type, neglecting soil thermal balance, waste heat utilization, and economic efficiency. This leads to problems such as soaring energy consumption, soil thermal imbalance, and waste heat under fault conditions. In this step, the platform combines fault information, soil condition, waste heat status, load demand, and energy prices to generate a comprehensive redundancy control scheme. This integrates load switching, waste heat recovery, soil regulation, and economic optimization, ensuring continuous system operation under fault conditions while maximizing waste heat utilization, maintaining soil thermal balance, and reducing energy consumption. Compared to publicly available document one, the fault redundancy scheme is significantly more targeted, scientific, and practical, resulting in a substantial improvement in the overall system performance under fault conditions.

[0058] 3.3 Redundancy Scheme Execution and Dynamic Adjustment Steps (S23): This step is crucial for collaborative control under fault conditions. Its main purpose is to ensure that all equipment and systems synchronously execute the redundancy control scheme output by the edge computing control platform. This achieves seamless load switching, waste heat recovery path adjustment, and auxiliary soil thermal balance regulation. Simultaneously, through a multi-dimensional sensing system and fault detection module, the execution effect of the scheme and the system's operating status are monitored in real time. Execution deviations are promptly detected, and the control scheme is dynamically adjusted to ensure continuous and stable system operation under fault conditions, maintaining soil thermal balance, efficiently utilizing waste heat, meeting the office building's heating and cooling load requirements, and avoiding system fluctuations or downtime due to inadequate scheme execution. This step links all components of the collaborative system to achieve a closed loop of scheme execution, status monitoring, and dynamic correction. The specific technical measures are as follows: After receiving the redundant control scheme output by the edge computing control platform, each device and system synchronously executes the relevant instructions; the air source heat pump and gas-fired condensing boiler quickly adjust their operating load and switch operating modes (if necessary) according to the load switching instructions to ensure that the load ratio meets the scheme requirements, take over the load of the faulty equipment, maintain a stable supply of system load, and avoid load fluctuations; the cross-equipment waste heat closed-loop recovery system adjusts the heat exchange flow rate of each recovery unit of the waste heat recovery module according to the waste heat recovery path adjustment instructions, stops the waste heat recovery of the faulty equipment, increases the waste heat recovery ratio of the remaining equipment, adjusts the storage and output flow rate of the heat storage module, releases the stored waste heat to assist in regulation, and adjusts the distribution path and flow rate of the heat distribution module to ensure that the waste heat is distributed to the system circulating water pipeline or domestic hot water supply pipeline according to the scheme requirements to help maintain soil thermal balance; the multi-dimensional sensing system continuously collects soil temperature data, equipment operating parameters, waste heat recovery data, and system load data during the scheme execution process. The data is simultaneously transmitted to the edge computing control platform. The fault detection module continuously monitors the operating status of each device and system, monitors whether the fault is expanding, and monitors whether the remaining devices and waste heat system are operating normally, promptly detecting new faults or operational anomalies. The edge computing control platform receives monitoring data in real time, compares the expected effect of the redundant control scheme with the actual execution data, and judges the implementation effect of the scheme. If the actual load supply is sufficient, the soil temperature change trend is consistent with expectations, the waste heat recovery utilization rate reaches the expected level, and there is no execution deviation, the current redundant control scheme is maintained and monitoring continues. If an execution deviation occurs, such as insufficient load supply, soil temperature change trend inconsistent with expectations, waste heat recovery utilization rate not reaching the expected level, or new operational anomalies are discovered, the redundant control scheme is immediately adjusted, control instructions are regenerated, and output to each device and system to correct the execution deviation. At the same time, staff monitor the system operation in real time based on the scheme execution status sent by the platform, and activate the manual control mode when necessary to assist in completing the scheme execution.

[0059] Example: Following the scenario example in S22, all devices and systems synchronously execute the redundancy control scheme; the air source heat pump receives load switching commands, quickly increases its operating load, takes over all the heat extraction load of the water-source chiller, adjusts its heating mode to ensure sufficient heating load supply, and simultaneously controls the circulating water outlet temperature to reduce the intensity of soil heat extraction; the gas-fired condensing boiler maintains its base load operation to ensure supplementary support for the heating load, and its flue gas condensing heat recovery flow rate increases; in the cross-equipment waste heat closed-loop recovery system, the waste heat recovery module stops the operation of the recovery units related to the water-source chiller, increases the heat exchange flow rate of the flue gas condensing heat recovery unit of the gas-fired condensing boiler, recovers all the waste heat from the air source heat pump, and the heat storage module releases the stored waste heat. Along with the real-time recovered waste heat, it is preferentially allocated to the system's circulating water pipeline to preheat the circulating water and help increase the soil temperature. The remaining waste heat continues to be stored. The multi-dimensional sensing system continuously collects data and finds that the downward trend of deep soil temperature in the northern region is slowing down and gradually approaching the preset range. The air source heat pump and gas-fired condensing boiler are operating stably with sufficient load supply. The waste heat recovery utilization rate reaches the expected level with no execution deviation. The edge computing control platform maintains the current redundant control scheme and continues to monitor. The fault detection module detects that the flue gas temperature of the gas-fired condensing boiler is slightly higher than the scheme requirements and sends an abnormal signal to the platform. The platform fine-tunes the load of the gas-fired condensing boiler and the waste heat recovery heat exchange flow rate to correct the abnormality and ensure the continued effective execution of the scheme.

[0060] Another example of a fault scenario: During summer cooling operation, the air source heat pump experiences an abnormal heat exchange efficiency fault (minor fault). The fault detection module detects the fault signal and transmits it to the platform. The platform determines the fault level to be minor, affecting the cooling and waste heat recovery efficiency of the air source heat pump. Based on soil temperature data, the current mid-level soil temperature in the southern region is higher than the preset upper limit, indicating a high priority for soil regulation. Based on waste heat data, the condensing heat recovery of the water-source chiller is sufficient, and the waste heat storage module has adequate storage capacity. Based on load data, the cooling load is high. Based on energy price data, the current power supply is at its peak. During periods of high electricity prices, priority is given to maintaining the load of water-source chillers while reducing the load of air-source heat pumps. A redundant control scheme is generated: the proportion of air-source heat pump load is reduced, while the proportion of water-source chiller load is increased to take over the cooling load transferred from the air-source heat pump. The waste heat recovery module increases the condensing heat recovery ratio of water-source chillers and reduces the waste heat recovery ratio of air-source heat pumps. The heat distribution path prioritizes the distribution of condensing heat to domestic hot water pipelines to help alleviate soil heat accumulation. After each device executes the command, monitoring shows that the soil temperature gradually decreases, the load supply is sufficient, the scheme is implemented effectively, and the platform maintains continuous monitoring of the command.

[0061] The unique technical approach of this step lies in the synchronous execution of redundant solutions, multi-dimensional real-time monitoring, and dynamic correction of deviations. It also considers fault control and system coordination, unlike the limitations of publicly available documents where solutions are executed in isolation and lack dynamic correction. While publicly available documents describe conventional fault redundancy schemes, each device executes the scheme independently without coordination, and lacks real-time monitoring and dynamic correction mechanisms, resulting in poor implementation and problems such as load fluctuations, soil thermal imbalance, and waste heat. In this step, however, all devices and the system execute the scheme synchronously, achieving coordinated load switching, waste heat recovery, and soil conditioning. Simultaneously, real-time monitoring through a multi-dimensional sensing system and fault detection module promptly detects deviations and dynamically adjusts the scheme, ensuring effective implementation and preventing fault escalation. It also considers waste heat utilization and soil thermal balance under fault conditions. Compared to publicly available documents, the stability, coordination, and accuracy of the scheme execution are significantly improved, and the system's operational stability and energy efficiency under fault conditions are greatly enhanced.

[0062] 3.4 Troubleshooting and System Reset Steps (S24): This step concludes the collaborative control of fault conditions. Its main purpose is for staff to promptly troubleshoot and repair equipment based on fault information sent by the edge computing control platform. After troubleshooting, the edge computing control platform monitors the operating status of the equipment and system, gradually adjusts the redundant control scheme, and resets the system to normal operating conditions, ensuring the system can restore its normal collaborative control mode. Simultaneously, it records the fault handling process and system operating data to support subsequent fault prevention and system optimization, preventing similar faults from recurring. This step links staff, the fault detection module, the edge computing control platform, and all core equipment and systems to achieve a closed loop of fault troubleshooting, system reset, and data recording. The specific technical methods are as follows: After receiving the fault alarm signal and fault information sent by the edge computing control platform, staff, in conjunction with the system operation data stored on the platform at the time of the fault, quickly arrive at the fault site, investigate the cause of the fault, and repair the faulty equipment or module. During the fault investigation and repair process, staff provide real-time feedback on the repair progress to the edge computing control platform. Based on the repair progress, the platform appropriately adjusts the redundancy control scheme to ensure that the system can continue to operate stably during the repair period, maintaining load supply, waste heat utilization, and soil thermal balance. After the fault is cleared, staff start the faulty equipment, test its operating status, and after confirming that the equipment can operate normally, send a fault clearance signal to the edge computing control platform. After receiving the fault clearance signal, the platform comprehensively detects the operating status of the faulty equipment and the entire collaborative system through the fault detection module and multi-dimensional sensing system, confirming that the equipment is operating normally, data transmission is smooth, and waste heat recovery is in place. The heat recovery system and soil heat balance regulation system functioned normally. The platform gradually adjusted the redundant control scheme, reduced the load ratio of the remaining equipment, gradually restored the load ratio of the faulty equipment, adjusted the waste heat recovery path and heat distribution ratio, and gradually restored the parameter settings to the normal operating conditions. During the system reset process, the platform continuously monitored soil temperature data, waste heat recovery data, equipment operating parameters, and system load data to ensure a smooth system reset process without load fluctuations or control deviations. After the system was fully reset to normal operating conditions, the platform recorded the fault handling process (including fault type, fault cause, repair method, and repair time) and system operating data (including energy consumption, waste heat utilization rate, and soil temperature changes under fault conditions) and stored them in the database to support subsequent fault prevention, system optimization, and parameter adjustment. At the same time, the platform stopped fault alarms and notified staff that the system had returned to normal operation.

[0063] Scenario Example: Following the scenario example in S23, after receiving the fault alarm signal and fault information from the water-source chiller, staff, based on the data stored on the platform, quickly reach the underground equipment room. The investigation reveals that the compressor fault is due to poor wiring contact, and repairs are promptly initiated. During repairs, staff provide real-time progress updates, and the edge computing control platform maintains the current redundancy control scheme to ensure normal heating load supply, waste heat utilization, and soil heat balance regulation. After repairs are completed, staff start the water-source chiller, test and confirm that the compressor is operating normally, the chiller can extract heat normally, and participate in waste heat recovery, then send a fault clearance signal to the platform. Upon receiving the signal, the platform, through the fault detection module and multi-dimensional sensing system, detects the operating status of the water-source chiller and the entire system, confirming that all equipment is operating normally, data transmission is smooth, and waste heat recovery is in progress. The heat recovery and soil conditioning system were operating normally. The platform gradually adjusted the redundant control scheme, reduced the load ratio of the air source heat pump, gradually restored the heat load ratio of the water source chiller, adjusted the waste heat recovery module, restored the recovery of condensing heat from the water source chiller, adjusted the heat distribution ratio, and gradually restored the parameter settings to the normal operating conditions for winter heating. During the reset process, the platform monitored that the soil temperature continued to rise to the preset normal range, the waste heat recovery utilization rate returned to the normal level, the load supply was stable, and there was no control deviation. After the system was completely reset, the platform recorded the fault handling process (fault type: poor contact of the water source chiller compressor circuit, repair method: reconnection of the circuit, short repair time) and system operation data (energy consumption, waste heat utilization rate, soil temperature changes, etc. under fault conditions), stored them in the database, and notified the staff that the system had returned to normal.

[0064] The unique technical approach of this step lies in the coordination between fault repair and system operation, the smooth transition of system reset, and the comprehensive recording of fault data. This distinguishes it from the limitations of publicly available documents, which often lack a clear separation between fault removal and system reset, and fail to record data. While publicly available documents describe conventional fault removal and system reset techniques for HVAC systems, they do not consider continuous system operation during fault repair, resulting in abrupt system resets prone to load fluctuations and a lack of recorded fault handling data, which is detrimental to subsequent fault prevention and system optimization. In contrast, this step involves the platform continuously adjusting redundancy schemes during fault repair to ensure stable system operation. The system reset process is gradual, avoiding load fluctuations and control deviations. Simultaneously, comprehensive fault handling data is recorded, providing support for subsequent system optimization, thus overcoming the technical limitations of publicly available documents. Furthermore, after system reset, this step combines fault handling data and soil temperature change data to fine-tune preset parameters under normal operating conditions, optimizing the coordinated control scheme and further improving system stability and energy efficiency. Compared to publicly available documents, fault removal efficiency, system reset smoothness, and data utilization are significantly improved, which is beneficial for subsequent fault prevention and long-term system optimization.

[0065] This invention relates to a collaborative system and method, using large office buildings in hot-summer and cold-winter regions as an application scenario. It integrates three core devices and four supporting systems, deeply merging system deployment and collaborative methods to achieve deep collaboration between cross-device waste heat closed-loop recovery and soil thermal balance adaptive regulation. It also links a fault redundancy control system to form a full-condition collaborative closed loop, addressing four major technical pain points of traditional HVAC systems. Its uniqueness is mainly reflected in the following aspects: 1. Breaking the limitation of existing technologies where waste heat recovery and soil thermal balance regulation are independent, it achieves bidirectional support and deep collaboration between the cross-device waste heat closed-loop recovery system and the soil thermal balance adaptive regulation system through collaborative calculation of two core algorithms built into the edge computing control platform. The waste heat recovery path and allocation ratio are dynamically adjusted according to the soil temperature state. The soil thermal balance regulation process combines waste heat recovery data to optimize load allocation, forming a collaborative closed loop of "waste heat recovery - soil balance - energy efficiency improvement." This is a technical means not recorded in existing public documents and is the core unique feature of this solution. 2. Overcoming the limitations of existing technologies where fault redundancy control and waste heat utilization are disconnected, this approach deeply integrates the fault redundancy control system with a cross-equipment waste heat closed-loop recovery system. Under fault conditions, load switching and waste heat recovery path adjustment occur simultaneously, utilizing recovered and stored waste heat to support redundancy replenishment, reducing energy consumption under fault conditions, and preventing waste heat recovery interruptions. This achieves synergistic coordination between fault redundancy replenishment, waste heat utilization, and soil thermal balance regulation, solving the problems of surging energy consumption, soil thermal imbalance, and waste heat under fault conditions found in existing technologies. 3. Targeting the scenario of large office buildings in hot-summer, cold-winter regions, this approach employs targeted system deployment and parameter presets. Distributed deployment of a multi-dimensional sensing system ensures comprehensive and accurate data collection; zoned deployment of core equipment adapts to load fluctuations; a closed-loop design of the waste heat system ensures maximum waste heat utilization; and a dual-switching mode of the fault redundancy system enhances flexibility. All system and equipment deployments are tailored to the scenario requirements, avoiding the problems of poor synergy and adaptability caused by the generalized design in existing technologies. 4. The edge computing control platform enables the collaborative utilization of multi-dimensional data and the synchronous regulation of multiple systems. It integrates five types of data: soil temperature, equipment operation, waste heat recovery, load demand, and energy price. Through collaborative algorithms, it generates the optimal regulation scheme and outputs it synchronously to each device and system. This achieves a closed-loop control process of "data acquisition - algorithm calculation - command output - collaborative execution - status monitoring - dynamic correction". This is different from the limitations of existing edge computing technologies that only control a single device or system and use data in isolation, thus improving the accuracy and efficiency of collaborative regulation.

[0066] The beneficial effects are as follows: 1. Significantly improved energy efficiency and greatly reduced energy consumption: Through a cross-equipment waste heat closed-loop recovery system, waste heat from the three core equipment is fully recovered, significantly improving waste heat utilization and reducing waste heat; through the collaborative regulation of the edge computing control platform, equipment load distribution is optimized, and the operating mode is adjusted in conjunction with energy price data to avoid ineffective equipment operation. At the same time, waste heat is used to support redundant energy replenishment in fault conditions, further reducing energy consumption. Compared with existing technologies, the system's overall energy efficiency is improved and operating costs are reduced. 2. Significant effect on maintaining soil thermal balance and strong system adaptability: Through soil thermal balance adaptive adjustment algorithms and multi-dimensional soil temperature monitoring, equipment load and waste heat distribution are adjusted in real time to avoid soil heat accumulation or excessive heat extraction, maintain stable soil thermal balance, and extend the service life of the underground buried pipe system; the system deployment and collaborative methods are specifically adapted to the characteristics of large office buildings in hot summer and cold winter regions, such as load fluctuations and limited underground space, making it highly adaptable and widely applicable to similar scenarios. 3. High system stability and minimal impact from faults: The fault redundancy control system can quickly detect faults and seamlessly switch loads. Combined with the waste heat recovery system, it enables continuous operation under fault conditions, avoiding the impact of downtime on the normal operation of the office building. Simultaneously, the system has a real-time monitoring and dynamic correction mechanism, which can promptly detect and resolve operational anomalies, reducing equipment failure rates and improving the long-term stability and reliability of the system. 4. High precision and practicality of control: The multi-dimensional sensing system comprehensively collects various data, providing reliable support for collaborative control. The edge computing control platform's two algorithms work together to generate precise control commands, achieving precise control of equipment load, waste heat recovery, and soil conditioning. The system has both manual and automatic control modes, allowing staff to flexibly adjust according to actual conditions, making it convenient and practical. Furthermore, the fault handling process is efficient, and the system reset is stable, which is beneficial for subsequent fault prevention and system optimization. 5. Green and environmentally friendly, in line with development trends: Through waste heat recovery and energy consumption optimization, it reduces gas and electricity consumption, lowers carbon emissions and pollutant emissions, aligning with the development trends of green building and energy conservation and emission reduction, and has good economic, environmental, and social benefits.

[0067] In summary, the collaborative system and method of this invention break through the limitations of existing technologies through unique technical means, achieving deep collaboration in waste heat recovery, soil balancing, and fault redundancy. It specifically addresses the technical pain points of traditional HVAC systems, adapts to specific scenario requirements, and possesses significant uniqueness and practicality. Compared with existing technologies, its overall performance is greatly improved, and it has broad application prospects.

Claims

1. A method for coordinating an air source heat pump, a gas-fired condensing boiler, and a water-source chiller, characterized in that: The system includes an air source heat pump, a gas-fired condensing boiler, a water-source chiller, an edge computing control platform, a multi-dimensional sensing system, a cross-equipment waste heat closed-loop recovery system, and a fault redundancy control system. The edge computing control platform is electrically connected to all other equipment and systems. The multi-dimensional sensing system includes a soil temperature monitoring module and an operating parameter monitoring module. The cross-equipment waste heat closed-loop recovery system includes a waste heat recovery module, a heat storage module, and a heat distribution module. The fault redundancy control system includes a fault detection module and a load switching module. The edge computing control platform synchronously links the cross-equipment waste heat closed-loop recovery system with the soil heat balance adaptive adjustment logic. The soil temperature monitoring module collects real-time soil temperature data in the underground pipe area of ​​the water-source chiller, and the operating parameter monitoring module collects various equipment operation and waste heat recovery data. Based on the data, the edge computing control platform adjusts the waste heat recovery path and heat distribution ratio of the cross-equipment waste heat closed-loop recovery system, and simultaneously adjusts the load distribution logic of the soil heat balance adaptive adjustment accordingly, so that the cross-equipment waste heat recovery provides stable heat support for soil heat balance adjustment.

2. The method for coordinating an air source heat pump, a gas-fired condensing boiler, and a water-source chiller as described in claim 1, characterized in that: The soil temperature monitoring module is deployed at different depths and in different areas of the underground pipe area of ​​the water source chiller to collect soil temperature data in real time and transmit it to the edge computing control platform; the operation parameter monitoring module collects environmental parameters, system cooling and heating load data, three types of equipment operation parameters, waste heat recovery data, and energy price data. All collected data are transmitted to the edge computing control platform in real time.

3. The method for coordinating an air source heat pump, a gas-fired condensing boiler, and a water-source chiller as described in claim 1, characterized in that: The waste heat recovery module is connected to the gas-fired condensing boiler, the water-source chiller, and the air-source heat pump, respectively, and is used to recover the condensing heat of the flue gas condensing hot water from the gas-fired condensing boiler and the waste heat from the air-source heat pump; the heat storage module is used to store the recovered waste heat; the heat distribution module receives instructions from the edge computing control platform and distributes the recovered waste heat to the system circulating water pipeline or the domestic hot water supply pipeline.

4. The method for coordinating an air source heat pump, a gas-fired condensing boiler, and a water-source chiller as described in claim 1, characterized in that: The edge computing control platform incorporates a soil thermal balance adaptive adjustment algorithm and a waste heat collaborative allocation algorithm. After receiving data transmitted from the multi-dimensional sensing system, it uses the soil thermal balance adaptive adjustment algorithm to determine whether the soil temperature is within a preset range, determines the adjustment direction and load adjustment requirements, and uses the waste heat collaborative allocation algorithm to calculate the optimal waste heat recovery ratio and heat distribution path, and synchronously outputs control commands to various related systems and equipment.

5. The method for coordinating an air source heat pump, a gas-fired condensing boiler, and a water-source chiller as described in claim 1, characterized in that: Under normal operating conditions, the coordinated steps of cross-equipment waste heat recovery and soil thermal balance regulation are S1 to S3; S1, the soil temperature monitoring module collects soil temperature data, and the operation parameter monitoring module collects various operation and waste heat recovery data, which are synchronously transmitted to the edge computing control platform; S2, the edge computing control platform uses built-in algorithms to determine the soil temperature status, determine the direction of soil thermal balance regulation and the coordination requirements of waste heat recovery; S3, the edge computing control platform regulates the cross-equipment waste heat closed-loop recovery system to adjust the waste heat recovery path and heat distribution ratio, and at the same time adjusts the load ratio of the three types of equipment to achieve coordinated cooperation between waste heat recovery and soil thermal balance regulation.

6. The method for coordinating an air source heat pump, a gas-fired condensing boiler, and a water-source chiller as described in claim 5, characterized in that: In step S3, when the soil temperature is higher than the preset range, the edge computing control platform instructs the water-source chiller to reduce its cooling load and the air-source heat pump to increase its cooling load. At the same time, it regulates the waste heat recovery module to prioritize the recovery of the condensation heat from the water-source chiller and store it in the heat storage module for preheating domestic hot water, thus helping to alleviate soil heat accumulation. When the soil temperature is lower than the preset range, the edge computing control platform instructs the water-source chiller to reduce its heat extraction load and the gas-fired condensing boiler to increase its supplementary heat load. At the same time, it regulates the waste heat recovery module to recover the flue gas condensation heat from the gas-fired condensing boiler and the stored waste heat, preheating the system circulating water and reducing the pressure on soil heat extraction.

7. The method for coordinating an air source heat pump, a gas-fired condensing boiler, and a water-source chiller as described in claim 1, characterized in that: The fault detection module monitors the operating status of the three types of equipment and the cross-equipment waste heat closed-loop recovery system in real time. When any equipment fails, it sends a fault signal to the edge computing control platform. After receiving the fault signal, the edge computing control platform adjusts the load ratio of the remaining equipment through the load switching module to take over the entire load of the faulty equipment. At the same time, it regulates the cross-equipment waste heat closed-loop recovery system to adjust the waste heat recovery path and recover usable waste heat.

8. The method for coordinating an air source heat pump, a gas-fired condensing boiler, and a water-source chiller as described in claim 7, characterized in that: When the water-source chiller fails, the edge computing control platform instructs the air-source heat pump and the gas-fired condensing boiler to operate in coordination through the load switching module, taking over all the cooling and heating loads of the water-source chiller; at the same time, it regulates the waste heat recovery module to adjust the recovery path, prioritizing the recovery of flue gas condensing heat from the gas-fired condensing boiler and waste heat from the air-source heat pump, storing them in the heat storage module to provide auxiliary heat for redundancy replenishment and maintain the continuous operation of waste heat recovery.

9. The method for coordinating an air source heat pump, a gas-fired condensing boiler, and a water-source chiller as described in claim 7, characterized in that: When the gas-fired condensing boiler fails, the edge computing control platform instructs the water-source chiller and air-source heat pump to operate in coordination through the load switching module to take over the supplementary heating load of the gas-fired condensing boiler; at the same time, it regulates the waste heat recovery module to adjust the recovery path, giving priority to recovering the condensing heat of the water-source chiller and the waste heat of the air-source heat pump, and releasing the waste heat stored in the heat storage module to provide heat support for redundant energy supplementation, while also helping to maintain the soil thermal balance.

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