Compressor crankshaft heating band control method and device, computer equipment and medium

Abstract

The embodiment of the invention discloses a compressor crankshaft heating belt control method and device, computer equipment and a medium. The method comprises the steps that a heating belt temperature control parameter calculation strategy is configured according to obtained current heating belt state information of a target compressor and environment temperature information; basic anti-fault protection parameter calculation and stable state control parameter calculation are carried out based on the heating belt temperature control parameter calculation strategy, and the current heating belt temperature value in the current heating belt state information is compared with the basic anti-fault protection parameter; and judging whether the current temperature value of the heating belt is smaller than a preset temperature value corresponding to the basic fault-proof protection parameter or not, and if the current temperature value of the heating belt is smaller than the preset temperature value corresponding to the basic fault-proof protection parameter and the duration is longer than a preset first monitoring duration, generating a temperature adjusting instruction. According to the method, a set of complete power-on preheating control logic with high reliability and user friendliness is designed for the core risk of first start of a unit in a severe cold environment.

Description

Technical Field

[0001] This application relates to the field of automation technology, and in particular to a method, device, computer equipment and medium for controlling the crankshaft heating belt of a compressor. Background Technology In refrigeration and heat pump units, the compressor is a core component, and its operational reliability is crucial. Especially after prolonged shutdown in low-temperature environments, a large amount of refrigerant dissolves in the compressor crankcase oil, leading to a significant increase in lubricating oil viscosity and a sharp decline in lubrication performance. Direct startup under these conditions can easily cause severe wear on internal components such as bearings and the crankshaft, and may even lead to cylinder seizure, severely shortening the compressor's lifespan. To address this issue, existing technologies generally use crankshaft heating belts to heat the compressor housing, reducing refrigerant dissolution and maintaining lubricating oil viscosity. However, traditional control strategies have key flaws, primarily manifested in their crude and rigid control logic. They lack an intelligent preheating mechanism for initial power-on in extremely cold environments; simple heating is insufficient to quickly restore the oil to a safe starting viscosity, leaving the startup risk high. The control logic does not consider extreme scenarios such as ambient temperature sensor malfunctions; if the sensor falsely reports high temperatures, the heating belt will fail, creating a significant safety hazard. Fixed parameters such as preheating time cannot be flexibly adjusted according to different regional climates or specific application scenarios, resulting in poor adaptability and energy waste. Summary of the Invention

[0002] This application provides a method, apparatus, computer equipment, and medium for controlling the crankshaft heating belt of a compressor, aiming to solve the problem of high failure rate of existing compressors due to ambient temperature.

[0003] In a first aspect, embodiments of this application provide a compressor crankshaft heating belt control method, which includes configuring a heating belt temperature control parameter calculation strategy based on the obtained current heating belt state information and ambient temperature information of the target compressor; calculating basic fault protection parameters and stable state control parameters based on the heating belt temperature control parameter calculation strategy to obtain heating belt control parameter adjustment strategy information; comparing the current heating belt temperature value in the current heating belt state information with the basic fault protection parameters to determine whether the current heating belt temperature value is less than the preset temperature value corresponding to the basic fault protection parameters, and whether the duration is greater than a preset first monitoring duration; if the current heating belt temperature value is less than the preset temperature value corresponding to the basic fault protection parameters, the method further includes configuring a heating belt temperature control parameter calculation strategy based on the obtained current heating belt state information and ambient temperature information ... if the current heating belt temperature value is less than the preset temperature value corresponding to the basic fault protection parameters, the method further includes configuring a heating belt temperature control parameter calculation strategy based on the obtained current heating belt state information and ambient temperature information; if the current heating belt temperature value is less than the preset temperature value corresponding to the basic fault protection parameters, the method further includes configuring a heating belt temperature control parameter calculation strategy based on the obtained current heating belt state information and ambient temperature information; if the current heating belt temperature value is less than the preset temperature value corresponding to the basic fault protection parameters, the method further includes configuring a heating belt temperature control parameter calculation strategy based on the obtained current heating belt state information and ambient temperature information; if the current heating belt temperature value is less than the preset temperature value corresponding to the basic fault protection parameters, the method further includes configuring a heating belt temperature control parameter calculation strategy based on the obtained current heating belt state If the temperature value is lower than the preset temperature value corresponding to the basic fault protection parameter and the duration is greater than the preset first monitoring duration, a temperature adjustment command is generated. Based on the temperature adjustment command and the preset optimal heat preservation duration, the heating belt is controlled to maintain its working state and the compressor ambient temperature monitoring is updated. The current heating belt temperature value of the target compressor's updated monitoring data is obtained, and it is determined whether the current heating belt temperature value corresponds to the preset stable state control parameter and the duration is greater than the preset second monitoring duration. If the current heating belt temperature value is equal to the stable state control parameter and the duration is greater than the second monitoring duration, a normal start command is generated to control the heating belt to continue to operate normally.

[0004] Secondly, embodiments of this application also provide a compressor crankshaft heating belt control device, which includes a configuration unit for configuring a heating belt temperature control parameter calculation strategy based on the acquired current heating belt status information and ambient temperature information of the target compressor; a strategy information generation unit for calculating basic fault protection parameters and stable state control parameters based on the heating belt temperature control parameter calculation strategy to obtain heating belt control parameter adjustment strategy information; a first monitoring unit for comparing the current heating belt temperature value in the current heating belt status information with the basic fault protection parameters, determining whether the current heating belt temperature value is less than the preset temperature value corresponding to the basic fault protection parameters, and whether the duration is greater than a preset first monitoring duration; and a first instruction generation unit for... If the heating element temperature is lower than the preset temperature value corresponding to the basic fault protection parameter and the duration is greater than the preset first monitoring duration, a temperature adjustment command is generated. The temperature monitoring and update unit is used to control the heating element to maintain its working state and perform compressor ambient temperature monitoring and update work according to the temperature adjustment command and the preset optimal heat preservation time. The second monitoring unit is used to obtain the current heating element temperature value of the target compressor update monitoring data, determine whether the current heating element temperature value corresponds to the preset stable state control parameter, and whether the duration is greater than the preset second monitoring duration. The second command generation unit is used to generate a normal start command to control the heating element to continue to operate normally if the current heating element temperature value is equal to the stable state control parameter and the duration is greater than the second monitoring duration.

[0005] Thirdly, embodiments of this application also provide a computer device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the above-described method.

[0006] Fourthly, embodiments of this application also provide a computer-readable storage medium storing a computer program, the computer program including program instructions, which, when executed by a processor, can implement the above-described method.

[0007] This application provides a method, apparatus, computer equipment, and medium for controlling the crankshaft heating belt of a compressor. The method includes configuring a heating belt temperature control parameter calculation strategy based on the current heating belt status information and ambient temperature information of the target compressor; calculating basic fault protection parameters and stable state control parameters based on the heating belt temperature control parameter calculation strategy to obtain heating belt control parameter adjustment strategy information; comparing the current heating belt temperature value in the current heating belt status information with the basic fault protection parameters to determine whether the current heating belt temperature value is less than the preset temperature value corresponding to the basic fault protection parameters and the duration is greater than the preset first monitoring duration; if the current heating belt temperature value is less than the preset temperature value corresponding to the basic fault protection parameters and the duration is greater than the preset first monitoring duration, a temperature adjustment command is generated; controlling the heating belt to maintain its working state and updating the compressor ambient temperature monitoring according to the temperature adjustment command and the preset optimal heat preservation time; obtaining the current heating belt temperature value of the target compressor's updated monitoring data, determining whether the current heating belt temperature value corresponds to the preset stable state control parameters and the duration is greater than the preset second monitoring duration; if the current heating belt temperature value is equal to the stable state control parameters and the duration is greater than the second monitoring duration, a normal start command is generated to control the heating belt to continue operating normally. The aforementioned method addresses the core risks of initial unit startup in frigid environments by designing a complete, highly reliable, and user-friendly power-on preheating control logic. This logic achieves precise preheating and safety management through a coherent process of "function switch selection - multi-condition judgment - forced protection - status feedback." The system features a configurable preheating function switch, which is enabled by default, ensuring the unit automatically enters the preheating judgment process after power-on. Simultaneously, this switch can be manually disabled by the user or the system to skip preheating in mild environments or short-term power outages where preheating is unnecessary, improving unit response speed and balancing protection and efficiency. After unit power-on but before the compressor's initial startup, the system initiates a multi-condition parallel judgment mechanism. Attached Figure Description

[0008] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0009] Figure 1 A schematic flowchart illustrating the compressor crankshaft heating belt control method provided in this application embodiment; Figure 2 A schematic diagram of a sub-process of the compressor crankshaft heating belt control method provided in an embodiment of this application; Figure 3 This is another sub-process diagram of the compressor crankshaft heating belt control method provided in the embodiments of this application; Figure 4 This is another sub-process diagram of the compressor crankshaft heating belt control method provided in the embodiments of this application; Figure 5 A further sub-process diagram of the compressor crankshaft heating belt control method provided in the embodiments of this application; Figure 6 A schematic block diagram of a compressor crankshaft heating belt control device provided in an embodiment of this application; Figure 7 A schematic block diagram of a computer device provided in an embodiment of this application. Detailed Implementation

[0010] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application. It should be understood that when used in this specification and appended claims, the terms "comprising" and "protecting" indicate the presence of the described features, integrals, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or collections thereof. It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit this application. As used in this specification and appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms unless the context clearly indicates otherwise. It should also be further understood that the term "and / or" as used in this specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes such combinations.

[0011] This application provides a method, apparatus, computer equipment, and medium for controlling the crankshaft heating belt of a compressor.

[0012] The execution entity for controlling the compressor crankshaft heating belt can be the compressor crankshaft heating belt control device provided in the embodiments of this application, or a computer device that integrates the compressor crankshaft heating belt control device. The compressor crankshaft heating belt control device can be implemented in hardware or software. The computer device can be a terminal or a server. The terminal can be a smartphone, tablet computer, handheld computer, or laptop computer, etc.

[0013] The compressor crankshaft heating belt control method is applied to Figure 7 Among the 500 computer devices.

[0014] Figure 1 This is a flowchart illustrating the compressor crankshaft heating belt control method provided in this application embodiment, which includes the following steps S110-170.

[0015] S110. Configure the heating belt temperature control parameter calculation strategy based on the obtained current heating belt status information and ambient temperature information of the target compressor.

[0016] In the strategy configuration phase (S110), after the system is powered on, it first acquires the real-time status information of the target compressor, including the current operating status of the heating element (e.g., on / off) and the current ambient temperature. Based on this information, the system automatically configures a heating element temperature control parameter calculation strategy that best matches the current operating conditions. For example, when an extremely low ambient temperature is detected, the "severe cold protection strategy" is selected; when the ambient temperature is mild, the "energy-saving monitoring strategy" is selected.

[0017] S120. Based on the heating belt temperature control parameter calculation strategy, calculate the basic fault protection parameters and the stable state control parameters to obtain the heating belt control parameter adjustment strategy information.

[0018] In the parameter calculation phase (S120), based on the configured calculation strategy, the system dynamically calculates two types of key parameters. The basic fault protection parameters represent the system's safety baseline, corresponding to an extremely low preset temperature threshold, primarily used to handle extreme operating conditions (such as initial startup in severe cold) or abnormal situations like sensor malfunctions. The stable state control parameters correspond to an ideal and safe compressor operating temperature range, representing the ultimate target state the system aims to achieve. By calculating these two types of parameters, the system generates a heating belt control parameter adjustment strategy that includes information such as target thresholds and monitoring durations.

[0019] S130. Compare the current heating belt temperature value in the current heating belt status information with the basic fault protection parameters, and determine whether the current heating belt temperature value is less than the preset temperature value corresponding to the basic fault protection parameters, and whether the duration is greater than the preset first monitoring duration.

[0020] S140. If the current heating zone temperature is less than the preset temperature value corresponding to the basic fault protection parameter and the duration is greater than the preset first monitoring duration, a temperature adjustment command is generated.

[0021] S150 controls the heating belt to maintain its working state according to the temperature adjustment command and the preset optimal heat preservation time, and performs compressor ambient temperature monitoring and update.

[0022] During the forced protection and preheating phase (S130-S150), the system enters continuous monitoring mode, comparing the real-time acquired current heating element temperature with the preset temperature threshold in the basic fault protection parameters. Trigger judgment (S130): If the current heating element temperature is detected to be consistently below the safety threshold for a duration exceeding the preset first monitoring period, the compressor is determined to be in a high-risk start-up state. Execute protection (S140-S150): Once the judgment is established, the system immediately generates a temperature adjustment command (i.e., forcibly activates the heating element) and controls the heating element to continue operating according to the preset optimal heat preservation time. During this period, the system continuously updates and monitors the compressor's ambient temperature, preparing for the next stage of judgment. This phase effectively solves the problem of "insufficient preheating upon initial power-on."

[0023] S160. Obtain the current heating zone temperature value of the target compressor update monitoring data, determine whether the current heating zone temperature value corresponds to the preset stable state control parameter, and whether the duration is greater than the preset second monitoring duration.

[0024] S170. If the current heating belt temperature value is equal to the stable state control parameter and the duration is greater than the second monitoring duration, a normal start command is generated to control the heating belt to continue to operate normally.

[0025] In a specific embodiment, the core of the method lies in decoupling the control process into multiple stages, including strategy configuration, parameter calculation, protection triggering, and state verification, forming a closed-loop control logic. In the state verification and start-up authorization stage (S160-S170), after forced preheating or during normal operation, the system performs a second critical determination. State verification (S160) compares the updated current heating zone temperature value with the stable state control parameters. If the temperature has entered the safe range defined by these parameters and remains stable for more than a preset second monitoring period, it is confirmed that the compressor lubricating oil has reached a safe starting viscosity. Authorization is granted (S170). After the state verification passes, the system generates a normal start command, unlocks the compressor start-up, and allows the unit to start and operate normally. This ensures that the compressor is only allowed to start when the oil conditions are fully met, fundamentally eliminating the risk of starting with a faulty component.

[0026] Existing technologies control based solely on compressor start / stop or a single temperature, failing to address scenarios where the oil temperature is extremely low upon initial power-on in frigid environments. This solution introduces a multi-judgment mechanism based on "ambient temperature + heating zone temperature + duration" through strategy configuration in S110 and mandatory protection phases in S130-S150. This accurately identifies high-risk operating conditions and executes a mandatory preheating process with a defined duration, ensuring the oil is fully heated to above the safe viscosity. Existing technologies do not consider the extreme case of ambient temperature sensor failure. This solution calculates "basic fault-prevention protection parameters" in S120. When the ambient temperature sensor fails, the strategy configuration in S110 can select the default "safe mode," making the judgment conditions in S130 easily met, thus automatically triggering the mandatory protection in S150. This "fault-safe" design transforms sensor failure into the safest protective action, completely eliminating the protection blind spot caused by false high-temperature reports from the sensor.

[0027] Existing technologies have fixed preheating times, which cannot accommodate the needs of different regional climates and application scenarios. This solution introduces a "preset optimal insulation duration" in S150. This duration is not fixed in the program but can be flexibly adjusted during the strategy configuration stage in S110 based on user settings, regional climate data, or application scenarios (such as commercial cold storage or residential heat pumps). This allows the preheating process to meet the protection needs of extremely cold regions while avoiding unnecessary energy waste in temperate regions, achieving an optimal balance between protection effectiveness and energy efficiency.

[0028] This invention's technical solution, through a closed-loop protection process of "trigger-execution-verification-permission," ensures that the core lubricating oil is at its optimal viscosity before each compressor start-up. This eliminates the risk of abnormal wear and cylinder seizure in components such as bearings and crankshafts caused by low-temperature starts, raising the compressor's mean time between failures (MTBF) and overall service life to a new level. A comprehensive fail-safe fallback mechanism is constructed to eliminate extreme operational risks. "Basic fault-prevention protection parameters" and corresponding triggering logic provide the system with strong fault tolerance. Even if critical sensors fail, the system can automatically switch to the safest protection mode, avoiding decision-making errors caused by data distortion. This design concept elevates the unit's safety and reliability to a new level, making it particularly suitable for unattended or high-reliability critical application scenarios. High flexibility and energy efficiency optimization enhance the user experience. Configurable preheating strategies and durations enable the product to have intelligent adaptability "tailored to local conditions," avoiding energy waste or insufficient protection caused by "one-size-fits-all" control.

[0029] like Figure 2 As shown, in a more specific embodiment, the execution method S110 further includes execution steps S111-S112.

[0030] S111. Divide the ambient temperature information into fluctuation ranges to obtain the heating belt temperature control parameter classification calculation parameters corresponding to each preset ambient temperature sensitivity category.

[0031] S112. Fill the environmental temperature adaptability parameters corresponding to each environmental temperature sensitivity category into the preset heating belt temperature control parameter calculation model.

[0032] Specifically, in the strategy configuration phase (S110), the system first analyzes the fluctuation range of the ambient temperature (S111) and intelligently classifies the current environment into different sensitivity categories such as "stable low temperature" and "fluctuating low temperature". Then, based on this category, the system automatically selects and fills in a set of precisely matched control parameters (S112), including protection thresholds and preheating time. Based on these dynamically generated parameters, the system then performs subsequent protection determinations (S130-S150) and grants permission for startup (S160-S170). This ensures that the entire control process is no longer based on fixed static thresholds, but rather always adopts the optimal strategy that best suits the characteristics of the current real-time environment for decision-making.

[0033] like Figure 3 As shown, in a more specific embodiment, before executing method S112, steps S1121-S1122 are also specifically included.

[0034] S1121. Based on the preset environmental temperature adaptability items, classify and calculate the temperature control parameters of the heating belt into adaptability levels, and obtain the environmental temperature adaptability level information corresponding to the environmental temperature adaptability items.

[0035] S1122. Configure the environmental temperature adaptability level information into the calculation rules for heating belt control parameters.

[0036] Specifically, in the strategy configuration phase (S110), the system first identifies environmental dynamics by analyzing ambient temperature fluctuations (S111). Then, it enters the crucial rule generation process: multi-dimensional risk assessment (S1121): the system comprehensively assesses the current environment based on multiple preset ambient temperature adaptability items (such as absolute temperature value, fluctuation amplitude, and rate of change), quantifying it into a clear "ambient temperature adaptability level" (e.g., levels 1-5, with risk increasing progressively). Dynamic rule configuration (S1122): This adaptability level is no longer merely a parameter, but is directly configured into a set of specific "heating zone control parameter calculation rules." For example, a level 4 risk might correspond to the following rules: preheating time = base time × 1.8, protection threshold = standard threshold + 5℃. Finally, based on this dynamically generated calculation rule that precisely matches the current risk level, the system executes subsequent protection decisions and activation permissions, achieving "on-demand customization" of control logic and fundamentally solving the deep-seated problems of "single assessment dimensions and rigid control rules" in existing technologies. Traditional methods can only make decisions based on a single or a few fixed thresholds, failing to provide a comprehensive and quantitative risk assessment for complex and ever-changing environments. This results in control strategies that are either overly aggressive and wasteful of energy, or insufficiently protective and leave hidden dangers. This invention, through a chain of "multi-project assessment -> level classification -> rule generation," achieves for the first time the precise quantification of environmental risks, thereby driving the dynamic reconstruction of control logic. like Figure 4 As shown, in a more specific embodiment, after executing method S1122, steps S1123-S1125 are also specifically included.

[0037] S1123. The environmental temperature adaptability parameter that reaches the corresponding threshold adjustment urgent lower limit level in the calculation rules of the heating zone control parameters shall be used as the initial qualified parameter.

[0038] S1124. Determine whether the initial qualified parameters have reached the preset parameter mitigation upper limit.

[0039] S1125. If the initial qualified parameters do not reach the upper limit of parameter tolerance, the corresponding initial qualified parameters will be sent to the preset parameter recycling library for training the heating zone temperature control parameter calculation model.

[0040] Specifically, this invention proposes an intelligent control method for compressor crankshaft heating elements with closed-loop self-learning and self-evolution capabilities. Its core lies in the fact that the system can not only dynamically generate control rules but also learn from operation and continuously optimize itself. In the strategy configuration phase (S110), after dynamically generating control rules (S1121-S1122), the system initiates a crucial self-optimization loop, identifying "critical learning samples" (S1123). The system marks environmental parameters that have just reached the "threshold adjustment urgent lower limit" as "initial qualified parameters." These parameters represent the system in a critical state of "barely qualified, but extremely high risk," and are highly valuable learning samples. Determining the "knowledge convergence state" (S1124), the system further determines whether these "initial qualified parameters" have reached the "parameter mitigation upper limit"—that is, whether the system has entered a stable, low-risk optimal operating range. "Model evolution training" is executed (S1125). If the parameters have not reached the mitigation upper limit (i.e., are still in a high-risk or non-converged state), they are automatically sent to the "parameter recycling library" as key data. This recycling database is not simply for storage, but a training dataset. The system uses this data to continuously train and optimize the underlying heating zone temperature control parameter calculation model online. This gives the system a "self-evolving" vitality; the product is no longer a static tool, but an intelligent entity that becomes smarter and more reliable with use. It can proactively adapt to long-term factors such as environmental changes and equipment aging, always maintaining optimal control performance. Achieving "infinite improvement" in handling extreme conditions, the system specifically learns from the most dangerous and complex "critical samples," enabling its ability to cope with extreme weather and abnormal operating conditions to grow exponentially over time, with reliability far exceeding any static model.

[0041] like Figure 5 As shown, in a more specific embodiment, the execution method S130 further includes execution steps S131-S132.

[0042] S131. Determine whether the cumulative duration for which the current heating belt temperature value is less than the basic fault protection parameter is greater than the first monitoring duration, so as to determine whether the current heating belt temperature value meets the preset heating auxiliary conditions.

[0043] S132. If the current heating zone temperature value is less than the basic fault protection parameter for a continuous duration that is less than the first monitoring duration, and the current heating zone temperature value is less than the basic fault protection parameter for a cumulative duration that is greater than the first monitoring duration, then the current heating zone temperature value is determined to meet the heating auxiliary conditions.

[0044] In a more specific embodiment, this invention proposes an intelligent control method for compressor crankshaft heating belts with closed-loop self-learning and robust triggering capabilities. Its core lies in the fact that the system not only dynamically generates control rules and evolves itself, but its protection triggering mechanism also possesses intelligent anti-interference capabilities. The system not only monitors the continuous duration for which the current heating belt temperature value is below the basic fault protection parameter, but also calculates its cumulative duration. Even if the temperature is intermittently and fluctuatingly below the threshold (i.e., insufficient continuous duration), as long as its cumulative duration exceeds the preset first monitoring duration, the system will still determine that it meets the "heating auxiliary conditions" and trigger the forced protection process. This mechanism cleverly filters out interference caused by environmental noise or brief warming periods, ensuring accurate identification of "continuously severe" operating conditions and avoiding "missed judgments" that may be caused by traditional single continuous duration judgment. Building upon the solutions to the problems of "model solidification" and "dynamic environment mismatch," this solution further addresses the robustness issue of "traditional judgment logic being prone to misjudgment or missed judgments in temperature fluctuating environments."

[0045] Further, the method involves obtaining the current heating zone temperature value of the target compressor update monitoring data, determining whether the current heating zone temperature value corresponds to the preset stable state control parameter, and after determining whether the duration is greater than the preset second monitoring duration, the method includes generating a compressor temperature monitoring update command to control the target compressor temperature monitoring update if the current heating zone temperature value is less than the stable state control parameter, or if the duration of the current heating zone temperature value being greater than the stable state control parameter is less than the second monitoring duration.

[0046] Furthermore, after generating a compressor temperature monitoring update command to control the target compressor temperature monitoring update, the method includes determining whether the compressor temperature monitoring result information obtained by the target compressor temperature monitoring update operation is the same as the compressor temperature monitoring result information obtained by the previous temperature monitoring; if the compressor temperature monitoring result information obtained by the target compressor temperature monitoring update operation is the same as the compressor temperature monitoring result information obtained by the previous temperature monitoring, then a heating belt stop heating command is generated.

[0047] Specifically, the system determines whether the current heating element temperature has reached the stable state control parameter and remains stable for a sufficient duration (second monitoring duration). Dynamic monitoring and state maintenance (extended logic 1): If the initial determination fails (temperature not reaching the target or insufficient stabilization time), the system will not give up but will generate a "compressor temperature monitoring update command" to enter a continuous "observation period," tracking temperature change trends in real time to ensure that safe opportunities are not missed due to short-term fluctuations. Heating efficiency optimization and energy-saving control (extended logic 2): During dynamic monitoring, the system will perform intelligent comparison. If a new temperature monitoring result is found to be exactly the same as the previous result, it is determined that heating has entered the "efficiency plateau period" (i.e., the heating element has reached its maximum heating capacity under the current operating conditions, and further heating will not raise the temperature). At this time, the system will proactively generate a "heating element stop heating command" to avoid unnecessary energy consumption. Finally, only after confirming that the temperature has truly reached and stabilized within the safe range during dynamic monitoring will the system generate a "normal start command." This solution further addresses the closed-loop management issues of "rigid start-up permission determination" and "energy waste during preheating," and resolves the limitations of "one-time determination": traditional determinations are one-off; even a slight temperature fluctuation at the moment of determination may cause a missed start-up opportunity, leading to unnecessary waiting. This solution's "dynamic monitoring" mechanism transforms "one-time snapshots" into "continuous tracking," ensuring the accuracy and timing of decisions. It also solves the problem of "ineffective energy consumption under extreme conditions": in extreme cold or aging heating elements, the temperature may never reach the theoretically "stable state." Traditional systems would be trapped in a vicious cycle of "perpetual heating." This solution's "efficiency plateau period" identification logic allows the system to intelligently stop after confirming ineffective heating, achieving extreme energy savings while ensuring safety. Finally, it achieves a dynamic optimal balance between "safety" and "energy efficiency": the system no longer mechanically pursues a fixed temperature target, but continuously seeks the optimal balance between "safety" and "energy saving" throughout the preheating process. It ensures safe start-up while avoiding energy waste under any circumstances, achieving truly intelligent operation.

[0048] This invention addresses the core risks of initial unit startup in frigid environments by designing a complete, highly reliable, and user-friendly power-on preheating control logic. This logic achieves precise preheating and safety management through a coherent process of "function switch selection - multi-condition judgment - forced protection - status feedback." The system features a configurable preheating function switch, which is enabled by default, ensuring the unit automatically enters the preheating judgment process after power-on. Simultaneously, this switch can be manually disabled by the user or the system to skip preheating in mild environments or short-term power outages where preheating is unnecessary, improving unit response speed and balancing protection and efficiency. After power-on but before the compressor's initial start, the system initiates a multi-condition parallel judgment mechanism. Through the core mechanism of "multi-condition judgment (ambient temperature + exhaust temperature) + start-up lock," the compressor is only allowed to start after the lubricating oil reaches a safe viscosity, eliminating the risk of low-temperature wear and cylinder seizure at its source. Meanwhile, the introduced "sensor failure emergency control" mechanism constructs a "fault-safety" fallback logic, ensuring that even in extreme cases of single-point sensor failure, the system can automatically switch to the safest protection state, completely eliminating protection blind spots. The system no longer relies on fixed temperature thresholds but dynamically identifies environmental patterns (such as stable low temperature or fluctuating low temperature) by analyzing the fluctuation range of ambient temperature and automatically selects matching control parameters. This allows the control strategy to adapt to the dynamic characteristics of the environment in real time, solving the problem of mismatch in complex and changing environments caused by traditional "one-size-fits-all" control, and achieving a significant improvement in protection accuracy and adaptability. By introducing multi-dimensional risk assessment and level classification, the system can quantify complex environmental conditions into clear "adaptability levels" and dynamically generate specific control calculation rules based on these levels. This ensures that every decision is based on in-depth quantitative analysis of real-time data, rather than preset empirical formulas, achieving an unprecedented level of scientific rigor and accuracy in control decisions. The system constructs a closed loop of learning from operation. It can automatically identify operational data in a "critical risk" state as learning samples and use these samples to train and optimize the underlying calculation model online. This breaks through the limitations of traditional control systems' "fixed model" approach, enabling the system to continuously learn from practical experience, constantly evolving its decision-making capabilities and becoming more reliable and intelligent with use. At the triggering level, a dual-judgment logic of "continuous duration + cumulative duration" effectively filters out environmental noise interference, ensuring accurate triggering of protection functions even under fluctuating operating conditions. At the operational level, through "efficiency plateau period" identification technology, the system can proactively determine when heating has entered an ineffective state and intelligently stop, avoiding unnecessary energy consumption under extreme conditions. This ensures the system's reliability in complex real-world environments while achieving a dynamic optimal balance between safety and energy saving.

[0049] This solution establishes a linkage mechanism between "dual-temperature (ambient temperature + exhaust temperature) joint judgment triggering" and "compressor start-locking during preheating," ensuring that the compressor start command is strictly limited to after the lubricating oil reaches a safe viscosity. This mechanism physically eliminates the risk of abnormal internal wear and cylinder jamming caused by insufficient preheating, elevating protection logic from reactive response to source prevention, fundamentally extending the compressor's mechanical life. For the critical single-point failure of the ambient temperature sensor, this solution incorporates emergency control logic. When a sensor malfunction is detected, the system no longer relies on its fault data but directly switches to a safe mode that forcibly activates the heating element. This "fail-safe" design eliminates the extreme risk of protection function paralysis due to sensor failure, constructs comprehensive system-level safety redundancy, and ensures the unit's safe operation under abnormal conditions. By setting the preheating time and function switch as configurable parameters, the limitations of traditional fixed preheating modes are overcome. This technology enables the system to accurately adapt to diverse application scenarios, from extremely cold regions to temperate zones, from commercial cold storage to residential heat pumps, avoiding insufficient protection or energy waste caused by "one-size-fits-all" control. Meanwhile, by combining real-time feedback technology on preheating progress, the controllability and transparency of the system's operating status are improved, achieving a technical balance between protection effectiveness and operational efficiency.

[0050] Figure 6 This is a schematic block diagram of a compressor crankshaft heating belt control device provided in an embodiment of this application. As shown in the figure, corresponding to the above-described compressor crankshaft heating belt control, this application also provides a compressor crankshaft heating belt control device 100. This compressor crankshaft heating belt control device includes a unit for performing the above-described compressor crankshaft heating belt control, and the device can be configured in a desktop computer, tablet computer, laptop computer, or other terminal. For details, please refer to... Figure 6The compressor crankshaft heating belt control device 100 includes a configuration unit 110, used to configure a heating belt temperature control parameter calculation strategy based on the acquired current heating belt status information and ambient temperature information of the target compressor; a strategy information generation 120, used to calculate basic fault protection parameters and stable state control parameters based on the heating belt temperature control parameter calculation strategy to obtain heating belt control parameter adjustment strategy information; a first monitoring unit 130, used to compare the current heating belt temperature value in the current heating belt status information with the basic fault protection parameters, and determine whether the current heating belt temperature value is less than the preset temperature value corresponding to the basic fault protection parameters, and whether the duration is greater than the preset first monitoring duration; and a first instruction generation unit 140, used to determine whether the current heating belt temperature value is less than the preset temperature value corresponding to the basic fault protection parameters. If the temperature value is less than the preset temperature value corresponding to the basic fault protection parameter and the duration is greater than the preset first monitoring duration, a temperature adjustment command is generated. The temperature monitoring update unit 150 is used to control the heating belt to maintain its working state and perform compressor ambient temperature monitoring and update work according to the temperature adjustment command and the preset optimal heat preservation time. The second monitoring unit 160 is used to obtain the current heating belt temperature value of the target compressor update monitoring data, determine whether the current heating belt temperature value corresponds to the preset stable state control parameter, and whether the duration is greater than the preset second monitoring duration. The second command generation unit 170 is used to generate a normal start command to control the heating belt to continue to operate normally if the current heating belt temperature value is equal to the stable state control parameter and the duration is greater than the second monitoring duration.

[0051] It should be noted that those skilled in the art can clearly understand that the specific implementation process of the above-mentioned compressor crankshaft heating belt control device and each unit can be referred to the corresponding description in the foregoing method embodiments. For the sake of convenience and brevity, it will not be repeated here.

[0052] The aforementioned compressor crankshaft heating belt control device can be implemented as a computer program, which can, for example... Figure 7 It runs on the computer device shown.

[0053] Please see Figure 7 This diagram illustrates a schematic block diagram of a computer device provided in an embodiment of this application. The computer device 500 can be a terminal or a server. The terminal can be an electronic device with communication functions, such as a smartphone, tablet, laptop, desktop computer, personal digital assistant, or wearable device. The server can be a standalone server or a server cluster consisting of multiple servers.

[0054] The computer device 500 includes a processor 502, a memory, and a network interface 505 connected via a system bus 501. The memory may include a non-volatile storage medium 503 and internal memory 504.

[0055] The non-volatile storage medium 503 may store an operating system 5031 and a computer program 5032. The computer program 5032 includes program instructions that, when executed, cause the processor 502 to perform a compressor crankshaft heating belt control.

[0056] The processor 502 provides computing and control capabilities to support the operation of the entire computer device 500.

[0057] The internal memory 504 provides an environment for the operation of the computer program 5032 in the non-volatile storage medium 503. When the computer program 5032 is executed by the processor 502, the processor 502 can perform a compressor crankshaft heating belt control.

[0058] This network interface 505 is used for network communication with other devices. Those skilled in the art will understand that... Figure 7 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device 500 to which the present application is applied. The specific computer device 500 may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0059] It should be understood that in the embodiments of this application, the processor 502 may be a central processing unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0060] It will be understood by those skilled in the art that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program includes program instructions and can be stored in a storage medium, which is a computer-readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the process steps of the embodiments of the above methods.

[0061] Therefore, this application also provides a storage medium. This storage medium can be a computer-readable storage medium. The storage medium stores a computer program, wherein the computer program includes program instructions. When the program instructions are executed by a processor, the processor performs the following steps: configuring a heating belt temperature control parameter calculation strategy based on the acquired current heating belt status information and ambient temperature information of the target compressor; calculating basic fault protection parameters and stable state control parameters based on the heating belt temperature control parameter calculation strategy to obtain heating belt control parameter adjustment strategy information; comparing the current heating belt temperature value in the current heating belt status information with the basic fault protection parameters, determining whether the current heating belt temperature value is less than a preset temperature value corresponding to the basic fault protection parameters, and whether the duration is greater than a preset first monitoring duration; if the current heating belt temperature value is less than the preset temperature value corresponding to the basic fault protection parameters, the application determines whether the current heating belt temperature value is less than the preset temperature value corresponding to the basic fault protection parameters ... If the preset temperature value corresponding to the fault protection parameter is greater than the preset first monitoring duration, a temperature adjustment command is generated. Based on the temperature adjustment command and the preset optimal heat preservation duration, the heating element is controlled to maintain its working state, and the compressor ambient temperature monitoring is updated. The current heating element temperature value of the target compressor's updated monitoring data is obtained, and it is determined whether the current heating element temperature value corresponds to the preset stable state control parameter and whether its duration is greater than the preset second monitoring duration. If the current heating element temperature value matches the stable state control parameter and its duration is equal to the second monitoring duration, a normal start command is generated to control the heating element to continue operating normally.

[0062] The storage medium can be any computer-readable storage medium that can store program code, such as a USB flash drive, external hard drive, read-only memory (ROM), magnetic disk, or optical disk.

[0063] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this application.

[0064] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For example, the division of each unit is merely a logical functional division, and there may be other division methods in actual implementation. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed.

[0065] The steps in the methods of this application embodiment can be adjusted, merged, or deleted according to actual needs. The units in the apparatus of this application embodiment can be merged, divided, or deleted according to actual needs. Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0066] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, a terminal, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application.

[0067] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for controlling the crankshaft heating belt of a compressor, characterized in that, The compressor crankshaft heating belt control method includes: Configure the heating belt temperature control parameter calculation strategy based on the obtained current heating belt status information and ambient temperature information of the target compressor; Based on the heating belt temperature control parameter calculation strategy, basic fault protection parameters and stable state control parameters are calculated to obtain heating belt control parameter adjustment strategy information. The current heating zone temperature value in the current heating zone status information is compared with the basic fault prevention protection parameter to determine whether the current heating zone temperature value is less than the preset temperature value corresponding to the basic fault prevention protection parameter, and whether the duration is greater than the preset first monitoring duration. If the current heating band temperature is less than the preset temperature value corresponding to the basic fault protection parameter and the duration is greater than the preset first monitoring duration, then a temperature adjustment command is generated. According to the temperature adjustment command and the preset optimal heat preservation time, the heating belt is controlled to maintain the working state and the compressor ambient temperature is monitored and updated. The current heating zone temperature value of the target compressor update monitoring data is obtained, and it is determined whether the current heating zone temperature value corresponds to the preset stable state control parameter and whether the duration is greater than the preset second monitoring duration. If the current heating belt temperature value is equal to the stable state control parameter and the duration is greater than the second monitoring duration, a normal start command is generated to control the heating belt to continue operating normally.

2. The compressor crankshaft heating belt control method according to claim 1, characterized in that, The step of configuring the heating belt temperature control parameter calculation strategy based on the obtained current heating belt status information and ambient temperature information of the target compressor includes: The ambient temperature information is divided into fluctuation ranges to obtain heating belt temperature control parameter classification calculation parameters corresponding to each preset ambient temperature sensitivity category. Fill the environmental temperature adaptability parameters corresponding to each of the environmental temperature sensitivity categories into the preset heating belt temperature control parameter calculation model.

3. The compressor crankshaft heating belt control method according to claim 2, characterized in that, Before filling the environmental temperature adaptability parameters corresponding to each of the environmental temperature sensitivity categories into the preset heating belt temperature control parameter calculation model, the method includes: The temperature control parameters of the heating belt are classified and calculated according to the preset environmental temperature adaptability items, and the adaptability level is divided into categories to obtain the environmental temperature adaptability level information corresponding to the environmental temperature adaptability items. The environmental temperature adaptability level information is configured into the calculation rules for the heating belt control parameters.

4. The compressor crankshaft heating belt control method according to claim 3, characterized in that, After configuring the environmental temperature adaptability level information into the calculation rules for heating belt control parameters, the method includes: The environmental temperature adaptability parameter that reaches the corresponding threshold adjustment urgent lower limit level in the calculation rules of the heating belt control parameters is taken as the initial qualified parameter; Determine whether the initial qualified parameters have reached the preset parameter mitigation upper limit; If the initial qualified parameters do not reach the upper limit of the parameter tolerance level, the corresponding initial qualified parameters are sent to a preset parameter recycling library for training the heating zone temperature control parameter calculation model.

5. The compressor crankshaft heating belt control method according to claim 1, characterized in that, The step of determining whether the current heating band temperature is less than the preset temperature value corresponding to the basic fault protection parameter, and whether the duration is greater than the preset first monitoring duration, includes: Determine whether the cumulative duration for which the current heating zone temperature value is less than the basic fault protection parameter is greater than the first monitoring duration, so as to determine whether the current heating zone temperature value meets the preset heating auxiliary conditions; If the duration for which the current heating zone temperature value is less than the basic fault protection parameter is less than the first monitoring duration, and the cumulative duration for which the current heating zone temperature value is less than the basic fault protection parameter is greater than the first monitoring duration, then the current heating zone temperature value is determined to meet the heating auxiliary conditions.

6. The compressor crankshaft heating belt control method according to claim 1, characterized in that, The method includes obtaining the current heating zone temperature value of the target compressor update monitoring data, determining whether the current heating zone temperature value corresponds to a preset stable state control parameter, and after the duration is greater than a preset second monitoring duration, the method further includes: If the current heating zone temperature value is less than the stable state control parameter, or if the duration for which the current heating zone temperature value is greater than the stable state control parameter is less than the second monitoring duration, a compressor temperature monitoring update command is generated to control the target compressor temperature monitoring update.

7. The compressor crankshaft heating belt control method according to claim 6, characterized in that, After generating the compressor temperature monitoring update command to control the target compressor temperature monitoring update, the method includes: Determine whether the compressor temperature monitoring result information obtained from the temperature monitoring update of the target compressor is the same as the compressor temperature monitoring result information obtained from the previous temperature monitoring; If the compressor temperature monitoring result obtained from the temperature monitoring update of the target compressor is the same as the compressor temperature monitoring result obtained from the previous temperature monitoring, then a heating belt stop heating command is generated.

8. A compressor crankshaft heating belt control device, employing the compressor crankshaft heating belt control method according to any one of claims 1-7, characterized in that, include: The configuration unit is used to configure the heating belt temperature control parameter calculation strategy based on the current heating belt status information and ambient temperature information of the target compressor. Strategy information generation is used to calculate basic fault protection parameters and stable state control parameters based on the heating belt temperature control parameter calculation strategy, so as to obtain heating belt control parameter adjustment strategy information; The first monitoring unit is used to compare the current heating zone temperature value in the current heating zone status information with the basic fault prevention protection parameter, and determine whether the current heating zone temperature value is less than the preset temperature value corresponding to the basic fault prevention protection parameter, and whether the duration is greater than the preset first monitoring duration. The first instruction generation unit is used to generate a temperature adjustment instruction if the current heating band temperature value is less than the preset temperature value corresponding to the basic fault protection parameter and the duration is greater than the preset first monitoring duration. The temperature monitoring and updating unit is used to control the heating belt to maintain its working state and to perform compressor ambient temperature monitoring and updating work according to the temperature adjustment command and the preset optimal heat preservation time. The second monitoring unit is used to acquire the current heating zone temperature value of the target compressor update monitoring data, determine whether the current heating zone temperature value corresponds to the preset stable state control parameter, and whether the duration is greater than the preset second monitoring duration; The second instruction generation unit is used to generate a normal start instruction to control the heating belt to continue to operate normally if the current heating belt temperature value is equal to the stable state control parameter and the duration is greater than the second monitoring duration.

9. A computer device, characterized in that, The computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, which includes program instructions that, when executed by a processor, can implement the method as described in any one of claims 1-7.

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