Fault processing method and device for heating equipment, equipment and medium

Abstract

The embodiment of the invention provides a fault processing method, device and equipment of heating equipment and a medium, the heating equipment comprises a backscatter communication unit, and the method comprises the following steps: receiving a reflection signal sent by the backscatter communication unit; determining operation parameters of the target heating equipment according to the reflection signal; determining the abnormal level of the target heating equipment according to the operation parameters; target heating equipment is controlled according to the abnormal level, and whether standby heating equipment needs to be called or not is judged; when the standby heating equipment needs to be called, compensation power is determined, and the standby heating equipment is controlled according to the compensation power. According to the embodiment of the invention, the backscatter communication unit is integrated in the heating equipment, real-time sensing of passive and low-power-consumption operation parameters is realized, the abnormal state of the equipment is graded based on the acquired parameters, the control mode of the target equipment is determined according to the abnormal grade, the standby equipment is controlled according to the compensation power, on-demand response is really realized, and the power consumption is reduced. And the energy efficiency level and the operation continuity of the heating system are improved.

Description

Technical Field

[0001] This invention relates to the field of fault handling technology, and in particular to a fault handling method and a fault handling device for a heating device. Background Technology

[0002] In existing technologies, equipment failures are often handled using a binary judgment logic of "either faulty or normal." While this approach can prevent further damage to the equipment, it often leads to unnecessary resource waste and system interruptions when dealing with minor anomalies or moderately manageable faults. Furthermore, the sensing modules of traditional equipment rely on high-power active communication methods, requiring frequent battery replacements or maintenance, which cannot meet the requirements for fault response and status awareness in high-energy-efficiency scenarios. Summary of the Invention

[0003] In view of the above problems, embodiments of the present invention are proposed to provide a method, apparatus, device and medium for troubleshooting heating equipment that overcomes or at least partially solves the above problems.

[0004] According to a first aspect of the present invention, a fault handling method for a heating device is provided, the heating device including a backscatter communication unit; the method includes: Receive the reflected signal sent by the backscatter communication unit of the target heating device; The operating parameters of the target heating device are determined based on the reflected signal; Based on the operating parameters, determine the anomaly level of the target heating equipment; Based on the anomaly level of the target heating equipment, control the target heating equipment and determine whether to call up the backup heating equipment; When it is necessary to call up the backup heating equipment, the compensation power is determined, and the backup heating equipment is controlled according to the compensation power.

[0005] Optionally, the fault level includes a first fault level, and the step of controlling the target heating equipment according to the fault level of the target heating equipment, and determining whether to call up the backup heating equipment, includes: When the fault level is the first fault level, a first control mode is determined for the target heating device, and it is determined that there is no need to call up the backup heating device; the first control mode includes fine-tuning the operating frequency of the target heating device; The target heating device is operated according to the first control method. Optionally, the fault level further includes a second fault level, and the step of controlling the target heating equipment according to the fault level of the target heating equipment, and determining whether to call up the backup heating equipment, further includes: When the fault level is the second fault level, a second control method is determined for the target heating equipment, and it is determined that a backup heating equipment needs to be called; the second control method includes at least one of reducing the upper limit of motor load current and starting the auxiliary cooling system to share the heat load; The target heating device is operated according to the second control method.

[0006] Optionally, the fault level further includes a third fault level, and the step of controlling the target heating equipment according to the fault level of the target heating equipment, and determining whether to call up the backup heating equipment, further includes: When the fault level is the third fault level, the target heating equipment is stopped from running, and it is determined that a backup heating equipment needs to be called.

[0007] Optionally, determining the compensation power includes: Acquire the status parameters and rated power of the target heating device; the status parameters include at least one of cumulative operating time, historical operating data, and current ambient temperature and humidity. The output power of the target heating device is determined based on the state parameters; The compensation power is determined based on the difference between the rated power and the output power of the target heating device.

[0008] Optionally, controlling the backup heating equipment based on the compensated power includes: Determine the priority for calling up multiple backup heating devices; Based on the compensation power, at least one target backup heating device and the operating parameters of the target backup heating device are determined according to the call priority. Control the operation of the target standby heating equipment according to the operating parameters.

[0009] Optionally, determining the priority of calling up multiple backup heating devices includes: Obtain historical operating parameters for each standby heating device; The priority of calling up multiple backup heating devices is determined based on the historical operating parameters.

[0010] Optionally, determining the anomaly level of the target heating equipment based on the operating parameters includes: Input the operating parameters into the fault level model; The fault level model is used to determine the fault level of the target heating equipment.

[0011] According to a second aspect of the present invention, a fault handling apparatus for a heating device is provided, the heating device including a backscatter communication unit; the apparatus includes: A reflected signal receiving module is used to receive the reflected signal sent by the backscattering communication unit of the target heating device; An operating parameter determination module is used to determine the operating parameters of the target heating device based on the reflected signal; An anomaly level determination module is used to determine the anomaly level of the target heating equipment based on the operating parameters; The target equipment control module is used to control the target heating equipment according to the abnormality level of the target heating equipment, and to determine whether it is necessary to call up the backup heating equipment; The backup equipment control module is used to determine the compensation power when a backup heating device needs to be called, and to control the backup heating device according to the compensation power.

[0012] Optionally, the fault level includes a first fault level, and the target device control module includes: The first control mode determination submodule is used to determine the first control mode for the target heating device when the fault level is the first fault level, and to determine that it is not necessary to call the backup heating device; the first control mode includes fine-tuning the operating frequency of the target heating device; The first target equipment control submodule is used to control the operation of the target heating equipment according to the first control method. Optionally, the fault level further includes a second fault level, and the target device control module further includes: The second control mode determination submodule is used to determine the second control mode for the target heating equipment when the fault level is the second fault level, and to determine whether the backup heating equipment needs to be called; the second control mode includes at least one of reducing the upper limit of motor load current and starting the auxiliary cooling system to share the heat load; The second target equipment control submodule is used to control the operation of the target heating equipment according to the second control method.

[0013] Optionally, the fault level also includes a third fault level, and the target device control module further includes: The third target equipment control submodule is used to stop the operation of the target heating equipment when the fault level is the third fault level, and to determine whether to call up the backup heating equipment.

[0014] Optionally, the backup equipment control module includes: The status parameter acquisition submodule is used to acquire the status parameters and rated power of the target heating device; the status parameters include at least one of cumulative running time, historical running data, and current ambient temperature and humidity. The output power determination submodule is used to determine the output power of the target heating device based on the state parameters. The compensation power determination submodule is used to determine the compensation power based on the difference between the rated power and the output power of the target heating device.

[0015] Optionally, the backup equipment control module includes: The priority determination submodule is used to determine the priority of calling multiple backup heating devices; The target backup equipment determination submodule is used to determine at least one target backup heating device and the operating parameters of the target backup heating device based on the compensation power and the calling priority. The standby equipment control submodule is used to control the operation of the target standby heating equipment according to the operating parameters.

[0016] Optionally, the call priority determination submodule includes: The historical operating parameter acquisition unit is used to acquire the historical operating parameters of each standby heating device; The priority determination unit is used to determine the priority of multiple standby heating devices based on the historical operating parameters.

[0017] Optionally, the anomaly level determination module includes: The parameter input submodule is used to input the operating parameters into the fault level model; The anomaly level determination submodule is used to determine the anomaly level of the target heating equipment based on the fault level model.

[0018] According to a third aspect of the present invention, an electronic device is provided, the electronic device comprising: a processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements the steps of the fault handling method for the heating device as described in any of the preceding claims.

[0019] According to a fourth aspect of the present invention, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the steps of the fault handling method for the heating device as described in any of the preceding claims.

[0020] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects: This invention provides a fault handling method, apparatus, device, and medium for heating equipment. The heating equipment includes a backscatter communication unit. The system receives reflected signals transmitted by the backscatter communication unit; determines the operating parameters of the target heating equipment based on the reflected signals; determines the anomaly level of the target heating equipment based on the operating parameters; controls the target heating equipment according to the anomaly level and determines whether a backup heating equipment needs to be called; when a backup heating equipment needs to be called, determines the compensation power and controls the backup heating equipment based on the compensation power. This invention integrates a backscatter communication unit into the heating equipment, enabling passive, low-power real-time sensing of operating parameters. Based on the acquired parameters, it classifies the abnormal state of the equipment, determines the control mode of the target equipment according to the anomaly level, and controls the backup equipment according to the compensation power, truly achieving on-demand response and improving the energy efficiency and operational continuity of the heating system. Attached Figure Description

[0021] Figure 1 This is a flowchart of the steps of a fault handling method for a heating device provided in an embodiment of the present invention; Figure 2 This is a flowchart of another method for troubleshooting a heating device provided in an embodiment of the present invention; Figure 3 This is a flowchart of another method for troubleshooting a heating device provided in an embodiment of the present invention; Figure 4 This is a structural block diagram of a fault handling device for a heating equipment provided in an embodiment of the present invention. Detailed Implementation

[0022] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0023] One of the core concepts of this invention is that by integrating a backscatter communication unit into the heating equipment, passive and low-power operating parameters can be sensed in real time. Based on the acquired parameters, abnormal states of the equipment can be classified, the control mode of the target equipment can be determined according to the abnormality level, and the backup equipment can be controlled according to the compensation power, thus truly achieving on-demand response and improving the energy efficiency and operational continuity of the heating system.

[0024] Reference Figure 1 The diagram illustrates a flowchart of a fault-handling method for a heating device according to an embodiment of the present invention. The method may specifically include the following steps: Step 101: Receive the reflected signal sent by the backscatter communication unit of the target heating device; For example, the heating device can be a water heater, and its sensor module integrates a backscatter communication unit. Traditional heating devices rely on wired sensors or high-power wireless modules for data acquisition, which is not only complex in terms of wiring and high in maintenance costs, but also has limited battery life, making it difficult to support long-term continuous monitoring. Backscatter communication technology, however, utilizes existing radio frequency signals in the environment (such as Wi-Fi or dedicated RF sources) as carriers and energy sources, allowing the sensor module to operate without a built-in power supply. This module, by adjusting the antenna impedance, encodes the acquired device status information into the reflected wave of the incident RF signal, forming a data-carrying reflected signal. The central control system only needs to receive and demodulate this reflected signal to obtain the device's operating status. Therefore, receiving the reflected signal not only avoids the high power consumption and maintenance difficulties of traditional sensing, but also achieves truly "battery-free, wiring-free, and long-term online" monitoring, providing a reliable and real-time data foundation for subsequent intelligent fault diagnosis and response. It is particularly suitable for scenarios with stringent reliability and energy efficiency requirements, such as industrial heating and commercial hot water systems.

[0025] Step 102: Determine the operating parameters of the target heating device based on the reflected signal; For example, the reflected signal itself is a modulated electromagnetic wave, and its amplitude, phase, or temporal variations embed the raw physical quantity information collected by the sensor. Only by demodulating and analyzing this signal can physically meaningful operating parameters, such as heating element temperature, current, power, water temperature, pressure, or vibration frequency, be reconstructed. These parameters are the direct basis for judging the health status of the equipment. If only the signal is received without extracting specific parameters, the equipment behavior cannot be quantified, let alone fault identification. For example, an abnormally high temperature may indicate aging of the heating element, and current fluctuations may reflect poor contact. Therefore, accurately extracting operating parameters from the reflected signal ensures that subsequent fault analysis is based on real and accurate data, avoiding misjudgments or omissions, and providing necessary input for achieving refined and intelligent operation and maintenance of heating equipment.

[0026] Step 103: Determine the anomaly level of the target heating equipment based on the operating parameters; For example, single-parameter threshold alarms are prone to false alarms due to noise interference or fluctuations in operating conditions. A multi-parameter fusion fault level model can be used to comprehensively consider multi-dimensional information such as temperature, current, historical trends, and environmental factors. Through preset rules or machine learning algorithms, the severity of the anomaly can be quantified. This model maps continuous operating states to discrete anomaly levels (e.g., first fault level: minor; second fault level: moderate; third fault level: severe), providing a clear basis for subsequent differentiated response strategies and optimizing resource utilization while ensuring safety.

[0027] Step 104: Control the target heating device according to the abnormality level of the target heating device, and determine whether it is necessary to call up the backup heating device; For example, if a shutdown or switchover strategy is adopted for all anomalies, minor issues will be over-responded to, resulting in energy waste, service interruptions, and reduced lifespan of backup equipment. Conversely, if only minor adjustments are made to serious faults, it may lead to safety accidents or equipment damage. By classifying anomalies into levels, the system can accurately match the response intensity: Level 1 anomalies can be recovered through internal parameter optimization without using redundant resources; Level 2 anomalies require the main equipment to operate at reduced load while working with backup equipment to share the load and maintain heating capacity; Level 3 anomalies require decisive isolation of the faulty equipment, with backup equipment taking full control to ensure the system does not crash. This graded response mechanism significantly improves the system's reliability, energy efficiency, and intelligent operation and maintenance capabilities.

[0028] Step 105: When it is necessary to call up the backup heating equipment, determine the compensation power and control the backup heating equipment according to the compensation power.

[0029] For example, when the main heating unit malfunctions and cannot provide all the required heat energy, blindly activating the backup unit may lead to insufficient heating (affecting user experience) or excessive heating (causing energy waste or even system overpressure). Therefore, it is essential to accurately calculate the compensation power—the portion of the main unit's currently missing effective output capacity. Using this value, the system can precisely schedule the deployment of backup units: ensuring that the total heating power meets demand while avoiding inefficient operation (like using a large engine for a small load). Furthermore, dynamically setting the operating parameters of the backup units (such as the number of units activated, heating level, and operating time) based on the compensation power can optimize load distribution, extend equipment lifespan, and reduce overall energy consumption. This "on-demand compensation, precise control" strategy achieves efficient utilization of redundant resources, ensuring the stability, economy, and safety of the heating system, and is a core component of intelligent thermal management.

[0030] This invention provides a fault handling method for heating equipment. The heating equipment includes a backscatter communication unit. The method involves receiving reflected signals sent by the backscatter communication unit; determining the operating parameters of the target heating equipment based on the reflected signals; determining the anomaly level of the target heating equipment based on the operating parameters; controlling the target heating equipment according to the anomaly level and determining whether a backup heating equipment needs to be called; determining the compensation power when the backup heating equipment needs to be called, and controlling the backup heating equipment based on the compensation power. This invention integrates a backscatter communication unit into the heating equipment, enabling passive, low-power real-time sensing of operating parameters. Based on the acquired parameters, the method classifies the abnormal state of the equipment, determines the control mode of the target equipment according to the anomaly level, and controls the backup equipment according to the compensation power, truly achieving on-demand response and improving the energy efficiency and operational continuity of the heating system.

[0031] Reference Figure 2 The diagram illustrates a flowchart of another fault-handling method for a heating device provided by an embodiment of the present invention. The method may specifically include the following steps: Step 201: Receive the reflected signal sent by the backscatter communication unit of the target heating device; For example, the heating device can be a water heater, and its sensor module integrates a backscatter communication unit. Traditional heating devices rely on wired sensors or high-power wireless modules for data acquisition, which is not only complex in terms of wiring and high in maintenance costs, but also has limited battery life, making it difficult to support long-term continuous monitoring. Backscatter communication technology, however, utilizes existing radio frequency signals in the environment (such as Wi-Fi or dedicated RF sources) as carriers and energy sources, allowing the sensor module to operate without a built-in power supply. This module, by adjusting the antenna impedance, encodes the acquired device status information into the reflected wave of the incident RF signal, forming a data-carrying reflected signal. The central control system only needs to receive and demodulate this reflected signal to obtain the device's operating status. Therefore, receiving the reflected signal not only avoids the high power consumption and maintenance difficulties of traditional sensing, but also achieves truly "battery-free, wiring-free, and long-term online" monitoring, providing a reliable and real-time data foundation for subsequent intelligent fault diagnosis and response. It is particularly suitable for scenarios with stringent reliability and energy efficiency requirements, such as industrial heating and commercial hot water systems.

[0032] Step 202: Determine the operating parameters of the target heating device based on the reflected signal; For example, the reflected signal itself is a modulated electromagnetic wave, and its amplitude, phase, or temporal variations embed the raw physical quantity information collected by the sensor. Only by demodulating and analyzing this signal can physically meaningful operating parameters, such as heating element temperature, current, power, water temperature, pressure, or vibration frequency, be reconstructed. These parameters are the direct basis for judging the health status of the equipment. If only the signal is received without extracting specific parameters, the equipment behavior cannot be quantified, let alone fault identification. For example, an abnormally high temperature may indicate aging of the heating element, and current fluctuations may reflect poor contact. Therefore, accurately extracting operating parameters from the reflected signal ensures that subsequent fault analysis is based on real and accurate data, avoiding misjudgments or omissions, and providing necessary input for achieving refined and intelligent operation and maintenance of heating equipment.

[0033] Step 203: Input the operating parameters into the fault level model; For example, single-parameter threshold alarms are prone to false alarms due to noise interference or fluctuations in operating conditions. In contrast, a multi-parameter fusion fault level model can comprehensively consider multi-dimensional information such as temperature, current, historical trends, and environmental factors, and quantify the severity of anomalies through preset rules or machine learning algorithms. This model maps continuous operating states to discrete anomaly levels (such as minor fault level 1, moderate fault level 2, and severe fault level 3), providing a clear basis for subsequent differentiated response strategies and optimizing resource utilization while ensuring safety.

[0034] Step 204: Determine the anomaly level of the target heating equipment according to the fault level model; For example, different levels of anomalies correspond to different levels of risk and handling priorities: Level 1 minor anomalies (such as temperature slightly exceeding the set value) can be automatically recovered by fine-tuning the heating power without interrupting service; Level 2 moderate anomalies (such as decreased heating efficiency) require reduced load operation and activation of some backup functions to maintain heating; Level 3 severe anomalies (such as dry burning or short circuit) require immediate shutdown and complete switchover to backup equipment to prevent safety accidents. If a uniform shutdown or switching strategy is adopted without differentiating levels, it will lead to energy waste, service interruption, and premature wear and tear on backup equipment. By clearly defining anomaly levels, the system can dynamically match the optimal control strategy, maximizing equipment availability and energy efficiency while ensuring safety, extending the lifespan of main equipment, and rationally scheduling redundant resources, ultimately improving the intelligence level and operational economy of the entire heating system.

[0035] Step 205: Control the target heating device according to the abnormality level of the target heating device, and determine whether it is necessary to call up the backup heating device; For example, if a shutdown or switchover strategy is adopted for all anomalies, minor issues will be over-responded to, resulting in energy waste, service interruptions, and reduced lifespan of backup equipment. Conversely, if only minor adjustments are made to serious faults, it may lead to safety accidents or equipment damage. By classifying anomalies into levels, the system can accurately match the response intensity: Level 1 anomalies can be recovered through internal parameter optimization without using redundant resources; Level 2 anomalies require the main equipment to operate at reduced load while working with backup equipment to share the load and maintain heating capacity; Level 3 anomalies require decisive isolation of the faulty equipment, with backup equipment taking full control to ensure the system does not crash. This graded response mechanism significantly improves the system's reliability, energy efficiency, and intelligent operation and maintenance capabilities.

[0036] In one embodiment, the fault level includes a first fault level, and step 205 includes the following sub-steps: Sub-step S11: When the fault level is the first fault level, determine the first control mode for the target heating device and determine that it is not necessary to call up the backup heating device; the first control mode includes fine-tuning the operating frequency of the target heating device. For example, the first fault level represents a minor anomaly (such as a temperature slightly exceeding the set value or a small fluctuation in current), usually caused by instantaneous changes in operating conditions or sensor noise, and does not affect the core functions or safety of the equipment. Immediately activating the backup equipment in this situation would not only waste redundant resources but also shorten the backup equipment's lifespan and increase maintenance costs. Therefore, the system is designed to prioritize correcting deviations through internal fine-tuning (such as adjusting the operating frequency and power output) to bring the equipment back to normal. This "autonomy-first" strategy embodies the concept of refined management—solving problems by utilizing the equipment's own adjustment capabilities without affecting overall service, ensuring continuous heating while avoiding unnecessary system switching, and conforming to the principles of high energy efficiency and low intervention in intelligent control.

[0037] Sub-step S12: Control the operation of the target heating device according to the first control method.

[0038] In one embodiment, the fault level further includes a second fault level, and step 205 further includes the following sub-steps: For example, simply identifying anomalies without taking control measures cannot eliminate potential hazards; while blindly controlling them may exacerbate the problem. Fine-tuning the operating frequency and other operations are proactive interventions within the safety boundaries of the equipment, effectively suppressing the development of anomalies (e.g., reducing the frequency to decrease heat generation, thereby alleviating overheating). This closed-loop control process verifies the intelligent logic of "perception-judgment-execution," enabling the system to have adaptive adjustment capabilities, which not only improves operational stability but also extends the service life of the current equipment.

[0039] Sub-step S13: When the fault level is the second fault level, determine the second control mode for the target heating equipment and determine that it is necessary to call up the backup heating equipment; the second control mode includes at least one of reducing the upper limit of motor load current and starting the auxiliary cooling system to share the heat load; For example, a second-level fault indicates that the equipment has experienced significant performance degradation (such as a continuous decline in heating efficiency and localized overheating). Although not completely failed, it is difficult to maintain safety or service standards in the long term when operating alone. At this point, relying solely on minor adjustments to the main equipment may not prevent the fault from worsening; a direct shutdown would result in a heating interruption. Therefore, the system adopts a "main-backup coordination" strategy: on the one hand, it limits the output of the main equipment by reducing the upper limit of the motor load current to prevent further damage; on the other hand, it activates auxiliary cooling or enables some backup heating units to share the heat load, ensuring that the total heating capacity meets the demand. This compromise solution protects the main equipment while ensuring system availability, demonstrating a wise balance between fault tolerance and resource optimization.

[0040] Sub-step S14: Control the operation of the target heating device according to the second control method.

[0041] For example, the primary device can refer to the target device. Limiting the load on the primary device can effectively curb the development of the fault and prevent it from sliding into a level 3 severe fault. At the same time, backup equipment provides compensating power to ensure that the heating quality at the user end is not significantly affected. This control is not simply maintaining the status quo, but dynamically reconfiguring the system operation mode to maximize service continuity while ensuring a safety baseline. By precisely executing this strategy, the system can operate stably for a longer period under moderate fault conditions, providing a window for planned maintenance and significantly improving overall reliability and user experience.

[0042] In one embodiment, the fault level further includes a third fault level, and step 205 further includes the following sub-steps: Sub-step S15: When the fault level is the third fault level, stop the operation of the target heating equipment and determine that a backup heating equipment needs to be called.

[0043] For example, a third-level fault represents a serious safety hazard (such as dry burning, short circuit, or insulation failure), and continued operation is highly likely to result in fire, explosion, or complete equipment destruction. At this point, any minor adjustments or load reduction measures cannot eliminate the fundamental risk; the only safe option is to immediately disconnect the main equipment power supply and physically isolate the source of the fault. Simultaneously, to avoid a complete interruption of heating service, a seamless switch to backup heating equipment is necessary, allowing it to independently handle the entire heat load. This "decisive shutdown + full switchover" strategy is the last line of defense for system safety. Although it sacrifices the availability of the main equipment, it protects personnel, property, and the overall function of the system, adhering to the engineering principle of "safety first" and serving as an indispensable emergency mechanism for highly reliable heating systems.

[0044] Reference Figure 3This diagram illustrates a flowchart of another fault handling method for a heating device provided by an embodiment of the present invention. After determining the fault level, for a first fault level, the target device is controlled to operate using a first control method. For a second fault level, the target device is controlled to operate using a second control method, and a backup device is invoked for power compensation. The sum of the power of the backup device and the power of the target device meets the rated power of the target device. For a third fault level, the target device is controlled to stop operating, and a backup device is invoked for power compensation. The power of the backup device meets the rated power of the target device.

[0045] Step 206: When it is necessary to call up the backup heating equipment, determine the compensation power and control the backup heating equipment according to the compensation power.

[0046] For example, when the main heating unit malfunctions and cannot provide all the required heat energy, blindly activating the backup unit may lead to insufficient heating (affecting user experience) or excessive heating (causing energy waste or even system overpressure). Therefore, it is essential to accurately calculate the compensation power—the portion of the main unit's currently missing effective output capacity. Using this value, the system can precisely schedule the deployment of backup units: ensuring that the total heating power meets demand while avoiding inefficient operation (like using a large engine for a small load). Furthermore, dynamically setting the operating parameters of the backup units (such as the number of units activated, heating level, and operating time) based on the compensation power can optimize load distribution, extend equipment lifespan, and reduce overall energy consumption. This "on-demand compensation, precise control" strategy achieves efficient utilization of redundant resources, ensuring the stability, economy, and safety of the heating system, and is a core component of intelligent thermal management.

[0047] In one embodiment, step 206 includes the following sub-steps: Sub-step S21: Obtain the status parameters and rated power of the target heating device; the status parameters include at least one of cumulative running time, historical running data, and current ambient temperature and humidity; For example, rated power only reflects the maximum designed output capacity of equipment under ideal new conditions, while actual output is affected by multiple factors such as aging, wear, and environment. For instance, a heater used for 5 years may experience a 30% decrease in efficiency due to scaling and component degradation; low temperature and high humidity environments also reduce heat exchange efficiency. Therefore, rated power alone cannot determine the current true capacity deficit. By acquiring status parameters such as cumulative operating time (to assess the degree of aging), historical operating data (to identify performance degradation trends), and current ambient temperature and humidity (to adjust heat load requirements), a more realistic profile of the equipment's capacity can be constructed. These parameters together constitute the input of the dynamic energy efficiency model, laying the foundation for accurately estimating the current actual output power, thereby avoiding undercompensation or overcompensation due to misjudgment.

[0048] Sub-step S22: Determine the output power of the target heating device based on the state parameters; For example, state parameters are directly related to the actual operating efficiency of the equipment. For instance, the longer the cumulative operating time, the more severe the scaling on the heating element, and the lower the thermal efficiency; historical current / temperature data can reveal performance degradation curves; the lower the ambient temperature, the higher the power required to maintain the same outlet water temperature. By substituting these parameters into a preset dynamic energy efficiency model (such as a machine learning regression model or empirical formula), the effective power that the equipment can stably output under current operating conditions can be calculated in real time, rather than the theoretical rated value. This actual output power is the key basis for calculating compensation requirements, ensuring that subsequent decisions are based on accurate physical reality, rather than idealized assumptions.

[0049] Sub-step S23: Determine the compensation power based on the difference between the rated power and the output power of the target heating device.

[0050] For example, system design typically uses rated power as the benchmark for heating capacity (i.e., the user's expected full-load output). When the main equipment can only output a lower actual power due to failure or aging, the difference between this and the rated power is the current missing heat energy gap. This gap must be filled by backup equipment to maintain the overall heating capacity of the system. For example, a water heater with a rated power of 10kW may only output 6kW due to a failure, requiring a compensation of 4kW. If backup equipment is activated arbitrarily without using this difference as a basis, the total power may far exceed the demand (wasting energy) or be insufficient (the water temperature may not meet the standard). Therefore, this difference is a scientific and objective standard for quantifying compensation needs, ensuring that redundant scheduling accurately matches the actual gap.

[0051] Sub-step S24: Determine the priority of calling up multiple backup heating devices; For example, in a system with multiple backup heating devices, indiscriminately activating them randomly can lead to some devices frequently starting and stopping, accelerating their aging, while others remain idle for extended periods, resulting in resource waste, or even being unable to be deployed due to sudden failures during cold standby. By establishing a priority-based activation mechanism, balanced use, healthy scheduling, and high reliability assurance of backup resources can be achieved. High-priority devices are typically those in better condition, with more stable historical performance, or better suited to current operating conditions. Prioritizing their activation ensures reliable compensation effects, extends the overall lifespan of the backup system, avoids the operational dilemma of "good equipment not being used, and poor equipment being forced to operate," and improves system redundancy efficiency and emergency response capabilities.

[0052] In one embodiment, sub-step S24 includes the following sub-steps: Sub-step S241: Obtain the historical operating parameters of each standby heating device; For example, backup heating equipment can be periodically activated, and its operating parameters can be determined by the reflected signals sent by the backscatter communication unit of the backup heating equipment. Historical operating parameters are the core basis for assessing the current health status and reliability of backup equipment. These parameters include cumulative runtime, number of start-stop cycles, historical fault records, maintenance logs, energy efficiency degradation trends, etc., which can objectively reflect the aging degree, wear condition, and potential risks of the equipment. For example, a backup unit that has not been used for a long time may have problems such as aging seals and lubrication failure; while equipment that is frequently started and stopped may have contactors nearing the end of their lifespan. These hidden defects are difficult to detect by current power-on testing alone. Therefore, by collecting and analyzing historical data, a "health record" can be constructed for each backup unit, providing data support for scientific prioritization, avoiding the activation of "sick" equipment at critical moments, thereby ensuring the success rate of switchover and system stability.

[0053] Sub-step S242: Determine the call priority of multiple standby heating devices based on the historical operating parameters.

[0054] For example, historical operating parameters directly reveal the reliability and availability of backup equipment. By analyzing this data (such as low failure rate, recent maintenance completion, and moderate usage frequency), the system can quantitatively assess the "readiness" and "health" of each device. Prioritizing devices with excellent historical performance and stable status can significantly reduce the risk of switchover failure; at the same time, through rotation strategies (such as prioritizing the use of devices that have been idle for a long time but are healthy), load balancing can be achieved, preventing some devices from being overused and prematurely scrapped. This data-driven prioritization upgrades backup resources from "static redundancy" to "intelligent scheduling," improving the reliability of emergency response and optimizing the overall lifecycle maintenance costs.

[0055] Sub-step S25: Based on the compensation power, determine at least one target backup heating device and the operating parameters of the target backup heating device according to the call priority; For example, the compensation power determines the total amount of heat energy that needs to be supplemented, while the priority of deployment reflects the availability and health status of each backup device. Only by combining these two can precise matching and optimal scheduling be achieved. For instance, if the compensation power is 6kW, the system needs to select one or more devices from the priority list to meet this requirement: it might prioritize activating a high-priority device with a rated 8kW (operating at 75% load) rather than two low-priority, low-power devices (which would increase control complexity). Simultaneously, operating parameters (such as start-up level, target temperature, and operating duration) need to be precisely set according to the compensation power—insufficient power will result in substandard water temperature, while excessive power will lead to energy waste. Furthermore, physical constraints such as minimum / maximum operating power limits and start / stop delays must be considered. Therefore, under the premise of meeting heating requirements, the most suitable backup unit should be activated in a way that maximizes efficiency, minimizes risk, and maximizes lifespan, achieving safe, economical, and reliable redundancy switching.

[0056] Sub-step S26: Control the operation of the target standby heating equipment according to the operating parameters.

[0057] For example, if only backup equipment is selected without setting specific operating instructions (such as heating power, target temperature, and operating mode), the equipment may start at full load by default, leading to overcompensation, energy waste, or system shock; it may also fail to effectively fill the gap due to parameter mismatch. By strictly controlling according to the calculated operating parameters, it can be ensured that the backup equipment accurately outputs the required compensation power and smoothly integrates into the existing heating system. This not only ensures the thermal comfort of users but also avoids instantaneous load fluctuations on the power grid or pipelines, while keeping the equipment operating in its high-efficiency range and extending its service life. This control closed loop ultimately achieves the fault recovery goal of "on-demand energy supply and intelligent coordination."

[0058] This invention provides a fault handling method for heating equipment. The heating equipment includes a backscatter communication unit. The method involves receiving reflected signals sent by the backscatter communication unit; determining the operating parameters of the target heating equipment based on the reflected signals; determining the anomaly level of the target heating equipment based on the operating parameters; controlling the target heating equipment according to the anomaly level and determining whether a backup heating equipment needs to be called; determining the compensation power when the backup heating equipment needs to be called, and controlling the backup heating equipment based on the compensation power. This invention integrates a backscatter communication unit into the heating equipment, enabling passive, low-power real-time sensing of operating parameters. Based on the acquired parameters, the method classifies the abnormal state of the equipment, determines the control mode of the target equipment according to the anomaly level, and controls the backup equipment according to the compensation power, truly achieving on-demand response and improving the energy efficiency and operational continuity of the heating system.

[0059] It should be noted that, for the sake of simplicity, the method embodiments are all described as a series of actions. However, those skilled in the art should understand that the embodiments of the present invention are not limited to the described order of actions, because according to the embodiments of the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions involved are not necessarily essential to the embodiments of the present invention.

[0060] Reference Figure 4 The diagram shows a structural block diagram of a fault handling device for a heating equipment provided in an embodiment of the present invention, which may specifically include the following modules: The reflected signal receiving module 301 is used to receive the reflected signal sent by the backscattering communication unit of the target heating device; The operating parameter determination module 302 is used to determine the operating parameters of the target heating device based on the reflected signal; Anomaly level determination module 303 is used to determine the anomaly level of the target heating equipment based on the operating parameters; The target equipment control module 304 is used to control the target heating equipment according to the abnormality level of the target heating equipment, and to determine whether it is necessary to call up the backup heating equipment. The standby equipment control module 305 is used to determine the compensation power when a standby heating device needs to be called, and to control the standby heating device according to the compensation power.

[0061] In one embodiment, the fault level includes a first fault level, and the target device control module includes: The first control mode determination submodule is used to determine the first control mode for the target heating device when the fault level is the first fault level, and to determine that it is not necessary to call the backup heating device; the first control mode includes fine-tuning the operating frequency of the target heating device; The first target equipment control submodule is used to control the operation of the target heating equipment according to the first control method. In one embodiment, the fault level further includes a second fault level, and the target device control module further includes: The second control mode determination submodule is used to determine the second control mode for the target heating equipment when the fault level is the second fault level, and to determine whether the backup heating equipment needs to be called; the second control mode includes at least one of reducing the upper limit of motor load current and starting the auxiliary cooling system to share the heat load; The second target equipment control submodule is used to control the operation of the target heating equipment according to the second control method.

[0062] In one embodiment, the fault level further includes a third fault level, and the target device control module further includes: The third target equipment control submodule is used to stop the operation of the target heating equipment when the fault level is the third fault level, and to determine whether to call up the backup heating equipment.

[0063] In one embodiment, the backup equipment control module includes: The status parameter acquisition submodule is used to acquire the status parameters and rated power of the target heating device; the status parameters include at least one of cumulative running time, historical running data, and current ambient temperature and humidity. The output power determination submodule is used to determine the output power of the target heating device based on the state parameters. The compensation power determination submodule is used to determine the compensation power based on the difference between the rated power and the output power of the target heating device.

[0064] In one embodiment, the backup equipment control module includes: The priority determination submodule is used to determine the priority of calling multiple backup heating devices; The target backup equipment determination submodule is used to determine at least one target backup heating device and the operating parameters of the target backup heating device based on the compensation power and the calling priority. The standby equipment control submodule is used to control the operation of the target standby heating equipment according to the operating parameters.

[0065] In one embodiment, the call priority determination submodule includes: The historical operating parameter acquisition unit is used to acquire the historical operating parameters of each standby heating device; The priority determination unit is used to determine the priority of multiple standby heating devices based on the historical operating parameters.

[0066] In one embodiment, the anomaly level determination module includes: The parameter input submodule is used to input the operating parameters into the fault level model; The anomaly level determination submodule is used to determine the anomaly level of the target heating equipment based on the fault level model.

[0067] As the device embodiment is basically similar to the method embodiment, the description is relatively simple, and relevant parts can be found in the description of the method embodiment.

[0068] This invention provides a fault handling device for heating equipment. The heating equipment includes a backscatter communication unit. The device receives reflected signals sent by the backscatter communication unit; determines the operating parameters of the target heating equipment based on the reflected signals; determines the anomaly level of the target heating equipment based on the operating parameters; controls the target heating equipment according to the anomaly level and determines whether a backup heating equipment needs to be called; when a backup heating equipment needs to be called, determines the compensation power and controls the backup heating equipment based on the compensation power. This invention integrates a backscatter communication unit into the heating equipment, enabling passive, low-power real-time sensing of operating parameters. Based on the acquired parameters, it classifies the abnormal state of the equipment, determines the control mode of the target equipment according to the anomaly level, and controls the backup equipment according to the compensation power, truly achieving on-demand response and improving the energy efficiency and operational continuity of the heating system.

[0069] This invention also provides an electronic device, comprising: It includes a processor, a memory, and a computer program stored in the memory and capable of running on the processor. When the computer program is executed by the processor, it implements the various processes of the above-described embodiment of the fault handling method for the heating device and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0070] This invention also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the various processes of the above-described embodiments of the fault handling method for heating equipment and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0071] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0072] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, or computer program products. Therefore, embodiments of the present invention can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of the present invention can take the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0073] Embodiments of the present invention are described with reference to flowchart illustrations and / or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0074] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0075] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal equipment, causing a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0076] Although preferred embodiments of the present invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present invention.

[0077] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0078] The above provides a detailed description of a fault handling method and a fault handling device for a heating device provided by the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for troubleshooting heating equipment, characterized in that, The heating device includes a backscatter communication unit; the method includes: Receive the reflected signal sent by the backscatter communication unit of the target heating device; The operating parameters of the target heating device are determined based on the reflected signal; Based on the operating parameters, determine the anomaly level of the target heating equipment; Based on the anomaly level of the target heating equipment, control the target heating equipment and determine whether to call up the backup heating equipment; When it is necessary to call up the backup heating equipment, the compensation power is determined, and the backup heating equipment is controlled according to the compensation power.

2. The fault handling method for heating equipment according to claim 1, characterized in that, The fault level includes a first fault level. The steps of controlling the target heating equipment based on its fault level and determining whether to call up a backup heating equipment include: When the fault level is the first fault level, a first control mode is determined for the target heating device, and it is determined that there is no need to call up the backup heating device; the first control mode includes fine-tuning the operating frequency of the target heating device; The target heating device is operated according to the first control method.

3. The fault handling method for heating equipment according to claim 2, characterized in that, The fault level also includes a second fault level. The step of controlling the target heating equipment based on its fault level, and determining whether to call up a backup heating equipment, further includes: When the fault level is the second fault level, a second control method is determined for the target heating equipment, and it is determined that a backup heating equipment needs to be called; the second control method includes at least one of reducing the upper limit of motor load current and starting the auxiliary cooling system to share the heat load; The target heating device is operated according to the second control method.

4. The fault handling method for heating equipment according to claim 3, characterized in that, The fault level also includes a third fault level. The step of controlling the target heating equipment based on its fault level, and determining whether to call up a backup heating equipment, further includes: When the fault level is the third fault level, the target heating equipment is stopped from running, and it is determined that a backup heating equipment needs to be called.

5. The fault handling method for heating equipment according to claim 1, characterized in that, The determination of the compensation power includes: Acquire the status parameters and rated power of the target heating device; the status parameters include at least one of cumulative operating time, historical operating data, and current ambient temperature and humidity. The output power of the target heating device is determined based on the state parameters; The compensation power is determined based on the difference between the rated power and the output power of the target heating device.

6. The fault handling method for heating equipment according to claim 5, characterized in that, The step of controlling the backup heating equipment according to the compensation power includes: Determine the priority for calling up multiple backup heating devices; Based on the compensation power, at least one target backup heating device and the operating parameters of the target backup heating device are determined according to the call priority. Control the operation of the target standby heating equipment according to the operating parameters.

7. The fault handling method for heating equipment according to claim 6, characterized in that, Determining the priority of calling up multiple backup heating devices includes: Obtain historical operating parameters for each standby heating device; The priority of calling up multiple backup heating devices is determined based on the historical operating parameters.

8. The fault handling method for heating equipment according to claim 1, characterized in that, Determining the anomaly level of the target heating equipment based on the operating parameters includes: Input the operating parameters into the fault level model; The fault level model is used to determine the fault level of the target heating equipment.

9. A fault handling device for heating equipment, characterized in that, The heating device includes a backscatter communication unit; the apparatus includes: A reflected signal receiving module is used to receive the reflected signal sent by the backscattering communication unit of the target heating device; An operating parameter determination module is used to determine the operating parameters of the target heating device based on the reflected signal; An anomaly level determination module is used to determine the anomaly level of the target heating equipment based on the operating parameters; The target equipment control module is used to control the target heating equipment according to the abnormality level of the target heating equipment, and to determine whether it is necessary to call up the backup heating equipment; The backup equipment control module is used to determine the compensation power when a backup heating device needs to be called, and to control the backup heating device according to the compensation power.

10. An electronic device, characterized in that, include: A processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements the steps of the fault handling method for the heating device as described in any one of claims 1-8.

11. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, which, when executed by a processor, implements the steps of the fault handling method for the heating device as described in any one of claims 1-8.

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