Compressor anti-vibration system capable of preventing resonance damage

Abstract

The invention discloses a compressor anti-vibration system capable of preventing resonance damage, relates to the technical field of compressor systems, and realizes active vibration prevention by constructing a closed-loop control framework consisting of a compressor module, a frequency conversion module, a vibration sensing module and a control module. The control module receives signals of the vibration sensing module installed on a key part in real time, when it is judged that vibration is continuously enhanced and exceeds a reference value, the frequency conversion module is immediately instructed to adjust the rotating speed of the motor so as to avoid a current resonance point, the system innovatively introduces a forbidden frequency interval concept to conduct memory avoidance, and based on a multi-dimensional similarity scoring algorithm, the frequency conversion module conducts memory avoidance. According to the scheme, the real-time working conditions are matched with historical parameters, predictive frequency avoidance is achieved, the problems of response lag and adjustment blindness of a traditional anti-vibration mode are effectively solved, the operation reliability of the compressor can be remarkably improved, and resonance accumulated damage is avoided.

Description

Technical Field

[0001] This invention relates to the field of compressor system technology, and in particular to a compressor anti-vibration system to prevent resonance damage. Background Technology

[0002] As a core power equipment, compressors are widely used in industrial manufacturing, HVAC (heating, ventilation and air conditioning), refrigeration and energy fields. Their operational stability is directly related to the reliability, energy efficiency and service life of the entire system.

[0003] However, with the widespread adoption of variable frequency technology, the anti-vibration design of traditional compressors has revealed many limitations: existing technologies mostly rely on mechanical passive vibration damping devices (such as damping pads and dampers) or preset fixed frequency limits during the design phase, which cannot cope with changes in the dynamic characteristics of the compressor caused by wear, component aging, or changes in the external environment during long-term operation; to avoid resonance, some systems adopt a simple "frequency hopping" strategy, that is, quickly skipping a relatively wide, conservatively set frequency range. This strategy lacks precision and may cause the compressor to skip frequency ranges that could be used for safe and efficient operation, causing unnecessary speed fluctuations, affecting process stability, and resulting in additional energy losses.

[0004] In response to the aforementioned technologies, a solution is proposed. Summary of the Invention

[0005] The purpose of this application is to provide a compressor vibration damping system to prevent resonance damage, thereby solving the technical problems of response lag, passive protection, blind frequency regulation, and efficiency loss in the prior art.

[0006] This application provides a compressor vibration damping system to prevent resonance damage, which adopts the following technical solution: A compressor vibration damping system to prevent resonance damage includes:

[0007] Compressor module: The compressor module is driven by a compressor motor;

[0008] Variable frequency module: connected to the compressor module, used to adjust the speed of the compressor motor;

[0009] Vibration sensing module: configured to be installed on key components of the compressor module, used to detect vibration signals of the key components in real time;

[0010] Control module: connected to the vibration sensing module and the frequency conversion module, and the control module has a pre-stored set of related relationships;

[0011] The control module is configured to receive the vibration signal detected by the vibration sensing module and compare the vibration signal with a preset vibration reference value. When it is determined that the vibration signal continues to increase and exceeds the vibration reference value at the current operating frequency, the control module sends an adjustment command to the frequency converter module to change the current operating frequency of the compressor module to avoid the resonance frequency point.

[0012] By adopting the above technical solution, a complete active vibration damping closed-loop control loop was constructed, which intelligently combines real-time vibration monitoring with dynamic adjustment of the compressor operating frequency, realizing a leap from passive vibration reduction to active vibration avoidance.

[0013] Specifically, the vibration sensing module provides the system with the most direct state perception through real-time detection of vibration signals from key components, while the control module acts as the brain. It not only compares the received real-time vibration signals with preset vibration benchmark values, but more importantly, it incorporates built-in logic to detect continuously increasing vibration signals. This logic enables the system to keenly capture early trends of resonance, rather than passively responding only after vibration exceeds limits. Once it determines that the vibration is continuously increasing at the current operating frequency and exceeds the safety benchmark, the control module immediately sends precise adjustment commands to the frequency converter module, driving the compressor motor speed to change, thereby rapidly deviating from the current resonance frequency point.

[0014] This design breaks the conditions required for resonance by actively and rapidly adjusting the excitation frequency to avoid coupling with the structure's natural frequency. This gives the system unprecedented dynamic response capabilities, effectively suppressing the development of resonance and preventing its accumulated energy from damaging critical compressor components.

[0015] The key components include the compressor head, the main bearing housing, and the compressor outlet piping. The vibration sensing module is correspondingly installed on the compressor head, and the vibration sensing module is also correspondingly installed on the main bearing housing and the compressor outlet piping.

[0016] By adopting the above technical solution, the specific objects and layout of vibration monitoring were clarified. By correspondingly setting the vibration sensing modules on the three key components of the compressor head, main bearing housing and compressor outlet piping, a comprehensive and targeted vibration monitoring network was constructed.

[0017] Its precise identification and control strategy for compressor vibration sources and weak points: the compressor head, as the core power source, is the main excitation point of vibration; the main bearing housing is the key structure supporting the rotor system, and its state directly reflects the stability of mechanical operation; while the compressor outlet piping is prone to pipe vibration due to the internal periodic pulsating airflow. The vibration signals from these three locations together constitute a complete dataset for evaluating the vibration state of the whole machine.

[0018] This arrangement enables the control module to acquire real-time vibration information from multiple dimensions, including the power source, force transmission path, and fluid-induced vibration. This allows the system to capture potential resonance precursors on different components more comprehensively and earlier, providing a solid and reliable data foundation for accurately determining the resonance frequency point and generating effective avoidance commands. It avoids misjudgments or omissions that may occur due to a single monitoring point, thus improving the accuracy and reliability of the entire vibration protection system.

[0019] The control module is also configured to record the resonant frequency point corresponding to when the vibration signal exceeds the vibration reference value, and to form a prohibited frequency range, the expression of which is:

[0020]

[0021] in, This indicates the identified resonant frequency point, expressed in Hertz (Hz). This represents the frequency offset tolerance, a preset positive value, in Hertz. The expression represents... Centered on, with a width of 2 The control module will avoid allowing the compressor module to operate continuously within this frequency range, and the frequency range... It can be set independently according to the vibration characteristics of the key components;

[0022] In subsequent operation control, when it is necessary to cross the prohibited frequency range, the control module instructs the frequency converter to skip it, thereby causing the compressor module to operate outside the prohibited frequency range.

[0023] By adopting the above technical solution, a frequency forbidden zone management strategy based on memory and learning is further developed, which not only avoids resonant frequency points in real time, but also transforms a one-time resonance event into a prohibited frequency range with a specific width that can be avoided in the long term. This range is defined by the identified resonant frequency points. Centered on the target, and offset by a preset frequency tolerance. Using this as a boundary, a clear mathematical expression range is formed. The core principle is that any mechanical resonance point is not an ideal mathematical singularity; a significant vibration response may still exist at its neighboring frequencies. Therefore, simple single-point avoidance is insufficient. This is achieved by defining a reasonable interval that can be independently set according to the vibration characteristics of key components. This value makes avoidance maneuvers more practical and safer in engineering applications;

[0024] The technical effect of this principle is that the system not only solves the current resonance problem, but also establishes a dynamically updated safe operating frequency spectrum for the compressor by forming the concept of a prohibited frequency range. In subsequent operation control, when it is necessary to cross this range, the control module can instruct the frequency converter to skip it. This fundamentally prevents the compressor from cumulative damage or fatigue failure caused by repeatedly entering the resonance zone, realizing an upgrade from temporary avoidance to permanent, preventive protection, and enhancing the long-term reliability of the system.

[0025] The association set includes historical operating condition parameters and the prohibited frequency range identified under the historical operating condition parameters. During the operation of the compressor module, the operating condition parameters are monitored in real time, and the operating condition parameters are matched with the historical operating condition parameters. Based on the prohibited frequency range in the matched association set, a predictive avoidance command is generated, thereby enabling the frequency converter module to control the compressor module to avoid operating in the prohibited frequency range.

[0026] The historical operating parameters and the operating parameters include at least one of the following: compressor load rate, outlet pressure, running time and ambient temperature;

[0027] The matching is performed using an algorithm based on multidimensional similarity scoring, the expression of which is:

[0028]

[0029] in, This represents the calculated current similarity score; This represents the actual measured value of current export pressure; This represents the actual measured value of the current load rate; This indicates other operating condition parameters that can be included in the matching; Indicates historical data; This represents the normalization factor, which is the possible range of values ​​for each parameter. This represents the weighting coefficient, which is a preset, positive constant and usually satisfies... + + ... + = 1, according to the matching judgment condition of the multidimensional similarity scoring expression:

[0030]

[0031] in, The similarity threshold is a preset constant. The Boolean output representing the matching result, when At that time, the controller will execute subsequent predictive avoidance logic.

[0032] By adopting the above technical solution, a forward-looking intelligent avoidance mechanism based on historical data is introduced on top of the basic frequency avoidance function. The set of pre-stored correlation relationships in its control module can dynamically associate different historical operating parameters with prohibited frequency ranges that have appeared in the past. During the operation of the compressor, the current operating parameters are monitored in real time, and an algorithm based on multi-dimensional similarity scoring is used to accurately match the current operating parameters with historical records.

[0033] This algorithm quantifies the similarity between the current state and historical states through normalization and weighted Euclidean distance calculation. The normalization factor eliminates the influence of parameters with different dimensions, while the weight coefficient reflects the differences in the importance of each operating condition parameter to the resonant frequency. When the calculated similarity score exceeds a preset threshold, a successful match is determined. The technical effect of this principle is that the system has achieved a leap from passive response to active prediction. It can predict potential resonance risks based on the current operating conditions before vibration anomalies occur and generate avoidance commands in advance, so that the compressor can actively avoid prohibited frequency ranges that may be associated with the current operating conditions. This enhances the system's adaptability and intelligence under complex and variable operating conditions, and avoids the risk of protection failure caused by resonance point shift due to changes in operating conditions in traditional methods.

[0034] The condition for successful matching is that the similarity between the current operating condition parameters and the historical operating condition parameters is higher than a preset similarity threshold.

[0035] By adopting the above technical solution, the triggering conditions of the predictive avoidance logic are clearly and quantifiable. The judgment condition for successful matching is set as the similarity between the current operating condition parameters and the historical operating condition parameters must be higher than a preset similarity threshold.

[0036] The core principle of this judgment lies in introducing an objective and unified standard to replace subjective or vague judgments. This ensures that the system only activates predictive avoidance commands when the current operating state has a sufficiently high similarity to the historical resonance state, thereby avoiding false triggering caused by accidental or slight fluctuations in operating conditions. The technical effect of this principle is to improve the accuracy and reliability of predictive avoidance actions. It ensures that the system can provide timely and proactive protection when there is a real risk of resonance, and prevents unnecessary frequency jumps due to oversensitivity from negatively impacting the stability and efficiency of compressor operation. This makes the decision-making process of the entire intelligent vibration prevention system more rigorous and intelligent.

[0037] The control module is further configured to: when the system identifies a new prohibited frequency range due to resonance under a certain operating condition parameter, update the operating condition parameter and the new prohibited frequency range as a new historical record to the association set.

[0038] When performing predictive avoidance, if the control module needs to cross the known prohibited frequency range according to the current instruction, it controls the frequency converter to skip the prohibited frequency range at a preset acceleration rate.

[0039] By adopting the above technical solution, the system is endowed with the ability to continuously evolve and learn, as well as a safe and efficient frequency crossing strategy. Its control module is configured to continuously enrich its knowledge base during operation. That is, when the system identifies a new prohibited frequency range due to resonance under a certain operating condition parameter, it will automatically update the operating condition parameter and this new range as a new historical record to the association set.

[0040] This self-improving principle enables the system's predictive model to become increasingly accurate and comprehensive over time, effectively addressing new vibration characteristic changes in the compressor caused by wear, aging, or unfamiliar operating conditions. Simultaneously, to ensure safety when traversing known prohibited frequency ranges, the control module instructs the inverter module to quickly skip the range at a preset acceleration rate. This rapid crossing strategy, through strict control of the acceleration process, minimizes the compressor's dwell time in undesirable vibration regions near the resonant frequency, ensuring the execution of operating commands while reducing the risk of resonance excitation and damage during the crossing process. This gives the system both the advantages of learning adaptability and operational safety.

[0041] The logic for determining the continuous enhancement of the vibration signal is as follows: within N consecutive sampling periods, the effective value or peak value of the vibration signal continuously increases monotonically, and N≥3.

[0042] By adopting the above technical solution, a clear and reliable time series logic criterion is provided for the determination of resonance. The specific logic for the continuous enhancement of vibration signal is defined as the effective value or peak value of vibration signal must remain monotonically increasing within N consecutive sampling periods and N must be greater than or equal to 3. This determination is achieved by setting an observation window containing multiple sampling periods and requiring the signal to show a strict monotonically increasing trend within this window, thereby effectively distinguishing between true, continuously developing resonance risk and short-term, random vibration fluctuations or noise interference.

[0043] In summary, this application includes at least one of the following beneficial technical effects:

[0044] 1. Vibration sensing modules are installed on key components such as the compressor head and main bearing housing. Combined with the continuous analysis and judgment logic of vibration signals by the control module, the impact on the mechanical structure is reduced and production interruption caused by emergency shutdown is avoided.

[0045] 2. The control module records the identified resonant frequency points and forms a restricted frequency range with an independently set width centered on these points. In subsequent operation, the system will instruct the compressor to quickly skip over the range when it needs to cross it. The system can accumulate operating experience and form a personalized "frequency map", avoiding the efficiency loss caused by traditional wide-range frequency hopping.

[0046] 3. A set of correlation relationships is pre-stored within the control module, associating historical operating condition parameters with the prohibited frequency ranges identified at that time. During operation, the system uses an algorithm based on multi-dimensional similarity scoring to match real-time operating conditions with historical data. When the system detects that the current operating condition is highly similar to an operating condition that has resonated in the past, it can activate a predictive avoidance command in advance. Without waiting for abnormal vibration signals, it can proactively avoid the prohibited frequency range associated with the operating condition, enhancing the system's robustness in dealing with complex operating condition changes and achieving an upgrade from "post-event processing" to "pre-event prevention". Attached Figure Description

[0047] Figure 1 This is the system architecture diagram of the present invention.

[0048] Figure 2 This is a diagram of the compressor vibration prevention system architecture for preventing resonance damage according to the present invention. Detailed Implementation

[0049] The following is in conjunction with the appendix Figure 1 -Appendix Figure 2 This application will be described in further detail below.

[0050] This application discloses a compressor vibration damping system to prevent resonance damage.

[0051] A compressor vibration damping system for preventing resonance damage includes:

[0052] Compressor module: The compressor module is driven by a compressor motor;

[0053] Variable frequency module: connected to the compressor module, used to adjust the speed of the compressor motor;

[0054] Vibration sensing module: configured to be installed on key components of the compressor module, used to detect vibration signals of the key components in real time;

[0055] Control module: connected to the vibration sensing module and the frequency conversion module, and the control module has a pre-stored set of related relationships;

[0056] The control module is configured to receive the vibration signal detected by the vibration sensing module and compare the vibration signal with a preset vibration reference value. When it is determined that the vibration signal continues to increase and exceeds the vibration reference value at the current operating frequency, the control module sends an adjustment command to the frequency converter module to change the current operating frequency of the compressor module to avoid the resonance frequency point.

[0057] Specifically, the compressor module is driven by a compressor motor, serving as the system's power execution unit; the frequency converter module uses an industrial standard frequency converter, whose power output is electrically connected to the compressor motor to receive control commands and precisely adjust the motor speed; the vibration sensing module consists of several vibration sensors, such as piezoelectric accelerometers, installed on key components like the compressor head and main bearing housing, to continuously collect vibration data and convert it into electrical signals; the control module is implemented by a microprocessor board with embedded control algorithms. This module establishes communication connections with the vibration sensing module and the frequency converter module via signal lines, and its internal memory pre-stores a database of related relationship sets.

[0058] During implementation, the control module continuously receives real-time vibration signals from the vibration sensor and compares the effective value of the signal with the preset vibration reference value in a loop. When the algorithm determines that the effective value of the vibration signal at the current operating frequency shows a monotonically increasing trend over several consecutive sampling periods and has exceeded the reference value, the control module immediately sends a digital adjustment command to the frequency converter module through the communication interface. The frequency converter module dynamically adjusts the frequency of the output power supply according to this command, thereby changing the speed of the compressor motor and causing its operating frequency to deviate from the current dangerous point that may cause resonance.

[0059] The key components include the compressor head, the main bearing housing, and the compressor outlet piping. The vibration sensing module is correspondingly installed on the compressor head, and the vibration sensing module is also correspondingly installed on the main bearing housing and the compressor outlet piping.

[0060] Specifically, the key components refer to the compressor head, main bearing housing, and compressor outlet piping. During implementation, the vibration sensing module needs to be installed in these three specific locations accordingly.

[0061] For compressor heads, vibration sensors are typically fixed to the axial and radial measurement points on the surface of the housing where the vibration response is most significant, either via a magnetic base or a threaded connection. For main bearing housings, sensors are mounted on machined surfaces near the bearing bearing area to directly monitor rotor vibration transmission. For compressor outlet piping, sensors are mounted in the middle of a straight pipe section radially away from the flow channel weld, using a base fixed by welding or clamps. QD-4G vibration sensors can be used in this case.

[0062] The vibration sensor selected in this implementation can be a piezoelectric accelerometer that measures broadband vibration acceleration. Its signal output is fed into the analog or digital input channel of the control module through an anti-electromagnetic interference shielded cable. This implementation method constructs a three-dimensional monitoring network covering the power source, mechanical transmission structure, and fluid-induced vibration points by multi-dimensionally distributing monitoring points along the vibration transmission path of the compressor. This arrangement can simultaneously collect the vibration response differences of different components at the same operating frequency, providing the control module with a more comprehensive and three-dimensional vibration state spectrum. This results in high accuracy and reliability in subsequent resonance frequency determination and avoidance command generation, avoiding misjudgments or omissions that may be caused by incomplete data from a single monitoring point.

[0063] The control module is also configured to record the resonant frequency point corresponding to when the vibration signal exceeds the vibration reference value, and to form a prohibited frequency range, the expression of which is:

[0064]

[0065] in, This indicates the identified resonant frequency point, expressed in Hertz (Hz). This represents the frequency offset tolerance, a preset positive value, in Hertz. The expression represents... Centered on, with a width of 2 The control module will avoid allowing the compressor module to operate continuously within this frequency range, and the frequency range... It can be set independently according to the vibration characteristics of the key components;

[0066] In subsequent operation control, when it is necessary to cross the prohibited frequency range, the control module instructs the frequency converter to skip it, thereby causing the compressor module to operate outside the prohibited frequency range.

[0067] Specifically, after the control module determines and successfully avoids a resonance frequency point based on the vibration signal, it will immediately record the operating frequency value of the compressor motor at that moment as the resonance frequency point. The data is stored in its non-volatile memory; subsequently, the control module calls the preset frequency offset tolerance. ,Should The values ​​can be preset independently in the system parameters according to the vibration sensitivity of different key components. For example, a larger value can be set for the compressor head, which has a severe vibration response. For outlet piping with a relatively mild vibration response, a smaller value can be set. value;

[0068] The core processing unit of the control module is based on mathematical expressions. Calculations are performed to generate a frequency axis. Centered on, with a width of 2 The prohibited frequency range, and compare this range with Associated storage; In subsequent system operation, when the control module needs to adjust the compressor speed according to the operation command and calculates that the target frequency will fall into any recorded prohibited frequency range, it will generate a frequency hopping command and send it to the frequency converter module; the command requires the frequency converter module to avoid the prohibited frequency range, but to accelerate the motor speed from before the lower limit of the range to after the upper limit of the range at a sufficiently fast speed, so as to ensure that the compressor operating frequency will not stay in the prohibited range.

[0069] The association set includes historical operating condition parameters and the prohibited frequency range identified under the historical operating condition parameters. During the operation of the compressor module, the operating condition parameters are monitored in real time, and the operating condition parameters are matched with the historical operating condition parameters. Based on the prohibited frequency range in the matched association set, a predictive avoidance command is generated, thereby enabling the frequency converter module to control the compressor module to avoid operating in the prohibited frequency range.

[0070] The historical operating parameters and the operating parameters include at least one of the following: compressor load rate, outlet pressure, running time and ambient temperature;

[0071] The matching is performed using an algorithm based on multidimensional similarity scoring, the expression of which is:

[0072]

[0073] in, This represents the calculated current similarity score; This represents the actual measured value of current export pressure; This represents the actual measured value of the current load rate; This indicates other operating condition parameters that can be included in the matching; Indicates historical data; This represents the normalization factor, which is the possible range of values ​​for each parameter. This represents the weighting coefficient, which is a preset, positive constant and usually satisfies... + + ... + = 1, according to the matching judgment condition of the multidimensional similarity scoring expression:

[0074]

[0075] in, The similarity threshold is a preset constant. The Boolean output representing the matching result, when At that time, the controller will execute subsequent predictive avoidance logic.

[0076] Specifically, the set of relationships within the control module is implemented in the form of a database table, which contains at least historical operating condition parameter fields and corresponding prohibited frequency interval fields. During system operation, the control module collects the current values ​​of operating condition parameters such as compressor load rate, outlet pressure, and ambient temperature in real time through its connected sensors, and calls the stored multidimensional similarity scoring algorithm for matching calculation.

[0077] The specific implementation process of the algorithm is as follows: The microprocessor first reads a historical record from the database to obtain the historical operating condition parameter values. At the same time, it normalizes the currently collected operating condition parameter values ​​by dividing the difference between the current value and the historical value by the defined range of the parameter as the normalization factor. Then, the processor calculates the sum of squares of the normalized differences of each parameter according to the preset weight coefficients, takes the square root, and subtracts the value from 1 to finally obtain the current similarity score. This calculation process iterates through multiple historical records in the database; the algorithm will then score them. Similarity threshold with preset The comparison is performed, and a successful match is determined when there is a historical record with a score higher than the threshold.

[0078] The control module then extracts the associated prohibited frequency range from the successfully matched historical record and generates a predictive avoidance command to send to the frequency converter module. The core of this command is to require the frequency converter module to actively avoid the prohibited frequency range indicated by the historical record when controlling the compressor to run. By using historical data to establish a mapping relationship between operating conditions and resonance risks, and by using rigorous similarity calculations to achieve forward-looking risk prediction, the system has the ability to make intelligent predictions based on operating condition identification. This allows the system to avoid known risk frequency points in advance before vibration anomalies occur, realizing an upgrade from passive response to active prevention.

[0079] The condition for successful matching is that the similarity between the current operating condition parameters and the historical operating condition parameters is higher than a preset similarity threshold.

[0080] Specifically, after calculating the multidimensional similarity score between the current operating parameters and a historical record, the control module immediately compares the score with a pre-defined similarity threshold in the program. This similarity threshold is a constant set empirically during the system debugging phase, with a value between 0 and 1, used as an objective standard to judge whether the current operating conditions and historical operating conditions are sufficiently similar. The comparison logic is implemented through conditional judgment instructions in the microprocessor, that is, if the calculated current similarity score... Greater than or equal to the preset similarity threshold If the score is below the threshold, the match is considered successful, and the Match flag is set to logical true; otherwise, if the score is below the threshold, the Match flag remains logical false.

[0081] Only when Match is true does the control module consider that the current operating condition has a sufficiently high correlation with the target historical record, and then execute subsequent predictive avoidance logic, such as reading the associated prohibited frequency range from the historical record and generating avoidance instructions.

[0082] By introducing a configurable, uniform quantitative threshold to replace subjective or fuzzy matching judgments, its innovation lies in ensuring that predictive avoidance actions are only triggered under highly similar operating conditions, thereby significantly improving the accuracy and reliability of the system's intelligent decision-making, effectively preventing malfunctions caused by accidental fluctuations in operating conditions, and ensuring the smooth operation of the compressor.

[0083] The control module is further configured to: when the system identifies a new prohibited frequency range due to resonance under a certain operating condition parameter, update the operating condition parameter and the new prohibited frequency range as a new historical record to the association set.

[0084] When performing predictive avoidance, if the control module needs to cross the known prohibited frequency range according to the current instruction, it controls the frequency converter to skip the prohibited frequency range at a preset acceleration rate.

[0085] Specifically, during operation, when the control module determines and generates a new prohibited frequency range based on real-time vibration signals, it will simultaneously record the compressor load rate, outlet pressure, and other operating parameters at that moment. This set of operating parameters and the new prohibited frequency range will be added to the internal relational set database as a new data entry through database write operations. The database table structure contains at least operating parameter fields and prohibited frequency range fields, thereby realizing the accumulation of historical experience.

[0086] When performing predictive avoidance, if the control module calculates based on the speed command that the target frequency needs to cross a known prohibited frequency range, it will send a frequency hopping command with an acceleration rate parameter to the frequency converter module. This command requires the frequency converter module to start increasing the motor speed with a preset, sufficiently large acceleration rate when approaching the lower limit of the prohibited frequency range, so that the operating frequency can quickly and smoothly cross from the lower limit to the upper limit of the range. The entire acceleration process takes much less time than the time required to potentially trigger significant resonance. This gives the system the ability to continuously learn and evolve, and parameterizes and commands the safe crossing strategy. By dynamically updating the knowledge base, the system can adapt to changes in characteristics during long-term operation, and by using preset acceleration control, it ensures operational safety when crossing prohibited areas, thereby maximizing system reliability while ensuring functionality.

[0087] The logic for determining the continuous enhancement of the vibration signal is as follows: within N consecutive sampling periods, the effective value or peak value of the vibration signal continuously increases monotonically, and N≥3.

[0088] Specifically, the microprocessor of the control module reads the signal voltage value transmitted from the vibration sensor through its analog-to-digital conversion channel according to a fixed sampling period, and calculates the effective value or peak value of the vibration signal in each sampling period.

[0089] The processor has an internal first-in-first-out (FIFO) data buffer of length N, which is used to sequentially store the vibration feature values ​​calculated over N consecutive sampling periods. The decision logic is implemented by a software algorithm, which compares the magnitudes of the 1st and 2nd, 2nd and 3rd, up to the (N-1)th and Nth vibration feature values ​​in the buffer. The algorithm determines that the vibration signal is continuously increasing only when all adjacent feature value comparisons in the buffer show a strict increase, i.e., when the monotonically increasing condition is met. The parameter N is a configurable item preset in the system parameters, and its value is set to an integer greater than or equal to 3, such as 3, 4, or 5. Multiple observation windows are set, and strict monotonicity is required.

[0090] The embodiments described in this specific implementation are preferred embodiments of this application and are not intended to limit the scope of protection of this application. Identical components are represented by the same reference numerals. Therefore, all equivalent changes made to the structure, shape, and principle of this application should be included within the scope of protection of this application.

Claims

1. A compressor anti-vibration system against resonance damage, characterized by, include: Compressor module: The compressor module is driven by a compressor motor; Variable frequency module: connected to the compressor module, used to adjust the speed of the compressor motor; Vibration sensing module: configured to be installed on key components of the compressor module, used to detect vibration signals of the key components in real time; Control module: connected to the vibration sensing module and the frequency conversion module, and the control module has a pre-stored set of related relationships; The control module is configured to receive the vibration signal detected by the vibration sensing module and compare the vibration signal with a preset vibration reference value. When it is determined that the vibration signal continues to increase and exceeds the vibration reference value at the current operating frequency, the control module sends an adjustment command to the frequency converter module to change the current operating frequency of the compressor module to avoid the resonance frequency point.

2. A compressor anti-vibration system that prevents resonance damage according to claim 1, characterized in that: The key components include the compressor head, the main bearing housing, and the compressor outlet piping. The vibration sensing module is correspondingly installed on the compressor head, and the vibration sensing module is also correspondingly installed on the main bearing housing and the compressor outlet piping.

3. A compressor anti-vibration system that prevents resonance damage according to claim 1, characterized in that: The control module is also configured to record the resonant frequency point corresponding to when the vibration signal exceeds the vibration reference value, and to form a prohibited frequency range, the expression of which is: wherein, represents the identified resonance frequency point, in Hertz; represents the frequency offset tolerance, which is a pre-set positive value, in Hertz, and the expression represents a frequency range centered at with a width of 2 , the control module will avoid causing the compressor module to continuously run within this interval, and the may be independently set according to the vibration characteristics of the key components.

4. A compressor anti-vibration system that prevents resonance damage according to claim 3, characterized in that: In subsequent operation control, when it is necessary to cross the prohibited frequency range, the control module instructs the frequency converter to skip it, thereby causing the compressor module to operate outside the prohibited frequency range.

5. A compressor anti-vibration system that prevents resonance damage according to claim 1, characterized in that: The association set includes historical operating condition parameters and the prohibited frequency range identified under the historical operating condition parameters. During the operation of the compressor module, the operating condition parameters are monitored in real time, and the operating condition parameters are matched with the historical operating condition parameters. Based on the prohibited frequency range in the matched association set, a predictive avoidance command is generated, thereby enabling the frequency converter module to control the compressor module to avoid operating in the prohibited frequency range.

6. A compressor anti-vibration system that prevents resonance damage according to claim 5, characterized in that: The historical operating parameters and the operating parameters include at least one of the following: compressor load rate, outlet pressure, running time and ambient temperature.

7. A compressor anti-vibration system that prevents resonance damage according to claim 5, characterized in that: The matching is performed using an algorithm based on multidimensional similarity scoring, the expression of which is: wherein, represents a calculated current similarity score; represents an actual measured value of the current outlet pressure; represents an actual measured value of the current load rate; represents a parameter representing other conditions that can be included in the matching; represents a historical record value; represents a normalization factor, which is a possible value range of each parameter; represents a weight coefficient, which is a preset constant greater than 0, and usually satisfies + +... + = 1, according to the multi-dimensional similarity score expression matching determination condition: in, The similarity threshold is a preset constant. The Boolean output representing the matching result, when At that time, the controller will execute subsequent predictive avoidance logic.

8. A compressor vibration damping system for preventing resonance damage according to claim 5, characterized in that: The condition for successful matching is that the similarity between the current operating condition parameters and the historical operating condition parameters is higher than a preset similarity threshold.

9. A compressor vibration damping system for preventing resonance damage according to claim 1, characterized in that: The control module is further configured to: when the system identifies a new prohibited frequency range due to resonance under a certain operating condition parameter, update the operating condition parameter and the new prohibited frequency range as a new historical record to the association set. When performing predictive avoidance, if the control module needs to cross the known prohibited frequency range according to the current instruction, it controls the frequency converter to skip the prohibited frequency range at a preset acceleration rate.

10. A compressor vibration damping system for preventing resonance damage according to claim 1, characterized in that: The logic for determining the continuous enhancement of the vibration signal is as follows: within N consecutive sampling periods, the effective value or peak value of the vibration signal continuously increases monotonically, and N≥3.

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