Noise and vibration monitoring method and system for energy storage power station

Abstract

The invention discloses an energy storage power station noise and vibration monitoring method and system, and relates to the technical field of energy storage monitoring, and the method comprises the steps: monitoring noise signals in and around energy storage equipment, obtaining the noise data of the equipment, and carrying out the detection alarm according to the noise data; monitoring the vibration condition of the energy storage equipment, obtaining vibration data, and carrying out detection alarm according to the vibration data; after the alarm is finished, related data are uploaded to the cloud and the threshold value is adjusted regularly. By monitoring noise and vibration data in real time, potential faults and potential safety hazards of equipment can be found in time, accidents can be effectively prevented, the system can accurately recognize abnormal phenomena according to a novel judgment standard, false alarm and missing alarm are avoided, the alarm accuracy and response speed are improved, effective measures are ensured to be taken in time, manual intervention is reduced, and the system is suitable for popularization and application. And through big data analysis and continuous feedback, a judgment standard and a monitoring strategy can be continuously optimized, long-term safe and stable operation of equipment is ensured, and the fault occurrence frequency is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage monitoring, and in particular to a noise and vibration monitoring method and system for an energy storage power station. Background Art

[0002] With the continuous development of the new energy industry, various forms of energy conversion are emerging. In addition, energy storage technology is also moving towards the power industry. For example, in our daily life, electrochemical energy storage has developed rapidly in recent years. Various power companies are also vigorously building electrochemical energy storage power stations. However, in addition to the rapidly growing energy storage power stations, there are also many safety hazards of PCS module spontaneous combustion and battery pack spontaneous combustion. In response to this phenomenon, energy storage manufacturers have tried every means to provide multiple protections for the equipment, but safety hazards still exist. Summary of the invention

[0003] In view of the above-mentioned problems, the present invention is proposed.

[0004] Therefore, the technical problem solved by the present invention is: how to effectively monitor the potential safety hazards of energy storage equipment.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a noise and vibration monitoring method for an energy storage power station, comprising: monitoring the noise signals inside and around the energy storage equipment, obtaining the noise data of the equipment, and performing detection and alarm according to the noise data; monitoring the vibration of the energy storage equipment, obtaining the vibration data, and performing detection and alarm according to the vibration data; uploading the relevant data to the cloud after the alarm ends and adjusting the threshold regularly.

[0006] As a preferred solution of the noise and vibration monitoring method for energy storage power stations described in the present invention, the noise data includes the frequency, intensity, waveform characteristics and duration of the sound; the vibration data includes the vibration amplitude, peak frequency, duration, and whether there is a signal matching the resonance frequency.

[0007] As a preferred solution of the noise and vibration monitoring method for the energy storage power station described in the present invention, the alarm types of the noise data include abnormal discharge sound monitoring alarm, suspected combustion alarm, internal noise exceeding limit alarm, current breakdown explosion sound alarm, radiator abnormal sound alarm, inlet and outlet noise decibel exceeding limit alarm; the alarm types of the vibration data include vibration amplitude exceeding limit alarm, equipment vibration and resonance abnormal alarm, and vibration time exceeding limit alarm.

[0008] As a preferred solution of the noise and vibration monitoring method for energy storage power station described in the present invention, the detection alarm of the noise data includes: when the noise intensity is within a preset range, the frequency meets the working range of the equipment, the change amplitude is stable, the duration is short and the fluctuation is small, the difference between the background noise and the equipment noise is small, and the instantaneous peak value does not exceed the set threshold, then the equipment is judged to be normal and no alarm action is performed;

[0009] Compare the current data with the historical normal operation database. When the sound wave has frequent peaks for several consecutive seconds and the amplitude exceeds twice the historical average, the abnormal discharge sound alarm is triggered. At this time, the system immediately instructs the equipment to enter the shutdown state. Through real-time data transmission, the system uploads the frequency, amplitude and characteristics of the abnormal noise to the cloud database. After cloud computing and analysis, it is pushed to the mobile terminal device of the operation and maintenance personnel. If the noise is accompanied by abnormal temperature, the cooling system is automatically started to prevent the equipment from overheating.

[0010] When the temperature sensor inside the equipment detects that the temperature rises rapidly by more than 3°C per second, and the noise exceeds 90dB with explosion characteristics, a suspected combustion alarm is triggered. At this time, the power supply is immediately cut off and the high-voltage and low-voltage circuits are disconnected. When smoke is detected at the same time, the fire extinguishing system is activated;

[0011] When the noise amplitude is greater than the threshold for normal operation of the equipment, an internal noise over-limit alarm is triggered. At this time, the noise source is located through the real-time transmitted sound spectrum to determine whether it comes from a mechanical fault component inside the equipment. When the noise is determined to be internal electrical noise, the system automatically adjusts the operating frequency and power output of the electrical part.

[0012] When periodic frequency instability or instantaneous high sound is detected, the radiator abnormal sound alarm is triggered. At this time, the system automatically adjusts the flow or wind speed of the cooling circuit and performs self-check on the fan. If the fan operates normally, the fan cooling is enabled; if the fan operates abnormally, the backup cooling system is started. When the system determines that there is dust accumulation in the radiator or the heat dissipation is not smooth, the internal cleaning function is automatically started;

[0013] When the air outlet detects high-frequency noise above 90dB, the inlet and outlet noise decibel limit alarm is triggered. At this time, the air door opening and fan speed are automatically adjusted until the noise is reduced to the standard range;

[0014] When the current frequency range is between 20Hz-200Hz and the amplitude exceeds the threshold, a current breakdown blasting sound alarm is triggered. At this time, the power line related to the current breakdown source is immediately disconnected and automatically switched to the backup power supply.

[0015] As a preferred solution of the noise and vibration monitoring method for energy storage power station described in the present invention, the detection alarm of the vibration data includes that when the vibration amplitude of the equipment is within the range of 0 to the rated vibration amplitude, and the environmental vibration acceleration is lower than a specific safety threshold and there is no obvious frequency change, the equipment is judged to be normal and no alarm action is performed;

[0016] Compare the real-time collected vibration sensor data with the set normal vibration amplitude range. When the vibration amplitude exceeds the maximum set threshold for 3 consecutive seconds, the vibration amplitude over-limit alarm is triggered. At this time, the output power of the energy storage device is limited to 70% of the original power. When the vibration lasts for more than 10 seconds, the system automatically triggers structural protection measures to adjust the equipment bracket and reduce the amplitude of vibration transmission.

[0017] Compare the vibration frequency of the equipment with its design frequency or known fault frequency. When the vibration frequency of the equipment is close to or overlaps with the known resonance frequency, the equipment vibration and resonance abnormality alarm is triggered. At this time, the frequency of the resonance structure is changed through the dynamic damper to reduce the working speed of the high-frequency vibration components. When the resonance cannot be eliminated, all modules that may cause the resonance are cut off and the resonance source is isolated.

[0018] The system monitors the duration of vibration. When the vibration does not return to the normal range within the set time window, the vibration time limit alarm is triggered. At this time, the vibration time is recorded and dynamic power adjustment is started to divert the output power to other modules to reduce the load of components affected by the vibration.

[0019] As a preferred solution of the noise and vibration monitoring method for energy storage power station described in the present invention, wherein: after the alarm is issued, the alarm feedback mode is entered, and the vibration data is re-collected and analyzed every 5 minutes after the alarm occurs to determine whether the vibration abnormality disappears or weakens;

[0020] When the vibration returns to the normal range, the system will mark the alarm status as temporarily lifted and record the data characteristics before and after the release; when the alarm persists or increases, the change trend will be recorded and uploaded to the cloud for manual processing.

[0021] As a preferred solution of the noise and vibration monitoring method for energy storage power stations described in the present invention, the periodic adjustment of the threshold value includes: the cloud performs big data analysis on historical alarm data, identifies the features that cause false alarms or missed alarms through cluster analysis, automatically adjusts the threshold value, response time and judgment rule in the vibration detection algorithm, and dynamically optimizes the alarm threshold value of vibration amplitude and frequency based on the false alarm and effective alarm ratio in the historical alarm data;

[0022] When a certain type of alarm occurs more than three times in a row and they are all false alarms, the system will reduce the sensitivity of this type of alarm. When a type of feature triggers valid alarms for multiple consecutive times, the system will enhance the detection sensitivity of this type.

[0023] Another object of the present invention is to provide a noise and vibration monitoring system for an energy storage power station, comprising: a noise monitoring and alarm module, a vibration monitoring and alarm module, and a data processing and feedback module; the noise monitoring and alarm module is used to collect and analyze noise data in real time, determine whether there is an abnormality, and trigger an alarm based on the abnormality; the vibration monitoring and alarm module is used to monitor the vibration data of the equipment in real time, determine whether the vibration amplitude, frequency and resonance phenomenon exceed the set threshold, and track the vibration duration at the same time. If it exceeds the limit or is abnormal, the relevant alarm is triggered; the data processing and feedback module is used to collect data from the noise and vibration monitoring modules, perform data fusion and multi-level analysis, identify potential risks and adjust the monitoring standards in real time.

[0024] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned energy storage power station noise and vibration monitoring method when executing the computer program.

[0025] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the noise and vibration monitoring method for an energy storage power station as described above.

[0026] Beneficial effects of the present invention: The noise and vibration monitoring method and system for energy storage power stations provided by the present invention can timely discover potential equipment failures and safety hazards (such as spontaneous combustion, breakdown, etc.) by real-time monitoring of noise and vibration data, and effectively prevent accidents. The system can accurately identify abnormal phenomena based on novel judgment criteria, avoid false alarms and missed alarms, improve the accuracy and response speed of alarms, ensure that effective measures are taken in a timely manner, reduce manual intervention, and improve emergency response efficiency. Through big data analysis and continuous feedback, the judgment criteria and monitoring strategies can be continuously optimized to ensure the long-term safe and stable operation of the equipment and reduce the frequency of failures. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0028] Figure 1 An overall flow chart of a noise and vibration monitoring method for an energy storage power station provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0029] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0030] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0031] Example 1

[0032] Reference Figure 1 , as an embodiment of the present invention, provides a noise and vibration monitoring method for an energy storage power station, comprising:

[0033] S1: Monitor the noise signals inside and around the energy storage device, obtain the noise data of the device, and perform detection and alarm according to the noise data;

[0034] Furthermore, high-sensitivity microphones, noise sensors and frequency detectors are used to collect noise data in real time, including the frequency, intensity, waveform characteristics and duration of the sound. The alarm types of noise data include abnormal discharge sound monitoring alarm, suspected combustion alarm, internal noise exceeding limit alarm, current breakdown explosion sound alarm, radiator abnormal sound alarm, and inlet and outlet noise decibel exceeding limit alarm.

[0035] Furthermore, the detection alarm of noise data includes that when the noise intensity is within the preset range, the frequency is in line with the working range of the equipment, the change amplitude is stable, the duration is short and the fluctuation is small, the difference between the background noise and the equipment noise is small, and the instantaneous peak value does not exceed the set threshold, the equipment is judged to be normal and no alarm action is taken;

[0036] The frequency and amplitude of abnormal discharge sound are high, and are often accompanied by intermittent strong spikes. If the sound wave frequency is concentrated in the local discharge characteristic frequency range, and the signal waveform exhibits a non-continuous, sharp pulse type, it is preliminarily determined to be an abnormal discharge sound. Compare the current data with the historical normal operation database. When the sound wave frequently peaks for several consecutive seconds and the amplitude exceeds 2 times the historical average, the abnormal discharge sound alarm is triggered. At this time, the system immediately instructs the equipment to enter the shutdown state. Through real-time data transmission, the system uploads the frequency, amplitude and characteristics of the abnormal noise to the cloud database. After cloud calculation and analysis, it is pushed to the mobile terminal device of the operation and maintenance personnel. If the noise is accompanied by abnormal temperature, the cooling system is automatically started to prevent the equipment from overheating;

[0037] When the temperature sensor inside the equipment detects that the temperature rises rapidly by more than 3°C per second, and the noise exceeds 90dB with explosion characteristics, a suspected combustion alarm is triggered. At this time, the power supply is immediately cut off and the high-voltage and low-voltage circuits are disconnected. When smoke is detected at the same time, the fire extinguishing system is activated;

[0038] When the noise amplitude is greater than the threshold for normal operation of the equipment, an internal noise over-limit alarm is triggered. At this time, the noise source is located through the real-time transmitted sound spectrum to determine whether it comes from a mechanical fault component inside the equipment. When the noise is determined to be internal electrical noise, the system automatically adjusts the operating frequency and power output of the electrical part.

[0039] When periodic frequency instability or instantaneous high sound is detected, the radiator abnormal sound alarm is triggered. At this time, the system automatically adjusts the flow or wind speed of the cooling circuit and performs self-check on the fan. If the fan operates normally, the fan cooling is enabled; if the fan operates abnormally, the backup cooling system is started. When the system determines that there is dust accumulation in the radiator or the heat dissipation is not smooth, the internal cleaning function is automatically started;

[0040] When the air outlet detects high-frequency noise above 90dB, the inlet and outlet noise decibel limit alarm is triggered. At this time, the air door opening and fan speed are automatically adjusted until the noise is reduced to the standard range;

[0041] When the current frequency range is between 20Hz-200Hz and the amplitude exceeds the threshold, a current breakdown blasting sound alarm is triggered. At this time, the power line related to the current breakdown source is immediately disconnected and automatically switched to the backup power supply.

[0042] S2: monitor the vibration of the energy storage equipment, obtain vibration data, and perform detection and alarm according to the vibration data;

[0043] It should be noted that the vibration data of each component of the equipment including vibration amplitude, peak frequency, duration, and whether there is a signal matching the resonance frequency are obtained through acceleration sensors, vibration sensors and structural resonance sensors. The alarm types of vibration data include vibration amplitude exceeding limit alarm, equipment vibration and resonance abnormality alarm, and vibration time exceeding limit alarm:

[0044] Furthermore, the detection alarm of vibration data includes that when the vibration amplitude of the equipment is within the range of 0 to the rated vibration amplitude, and the environmental vibration acceleration is lower than a specific safety threshold and there is no obvious frequency change, the equipment is judged to be normal and no alarm action is taken;

[0045] Compare the real-time collected vibration sensor data with the set normal vibration amplitude range. When the vibration amplitude exceeds the maximum set threshold for 3 consecutive seconds, the vibration amplitude over-limit alarm is triggered. At this time, the output power of the energy storage device is limited to 70% of the original power. When the vibration lasts for more than 10 seconds, the system automatically triggers structural protection measures to adjust the equipment bracket and reduce the amplitude of vibration transmission.

[0046] Compare the vibration frequency of the equipment with its design frequency or known fault frequency. When the vibration frequency of the equipment is close to or overlaps with the known resonance frequency, the equipment vibration and resonance abnormality alarm is triggered. At this time, the frequency of the resonance structure is changed through the dynamic damper to reduce the working speed of the high-frequency vibration components. When the resonance cannot be eliminated, all modules that may cause the resonance are cut off and the resonance source is isolated.

[0047] The system monitors the duration of vibration. When the vibration does not return to the normal range within the set time window, the vibration time limit alarm is triggered. At this time, the vibration time is recorded and dynamic power adjustment is started to divert the output power to other modules to reduce the load of components affected by the vibration.

[0048] S3: After the alarm ends, relevant data is uploaded to the cloud and the threshold is adjusted regularly.

[0049] Furthermore, after the alarm is issued, the alarm feedback mode is entered, and the vibration data is re-collected and analyzed every 5 minutes after the alarm occurs to determine whether the vibration anomaly has disappeared or weakened;

[0050] When the vibration returns to the normal range, the system will mark the alarm status as temporarily lifted and record the data characteristics before and after the release; when the alarm persists or increases, the change trend will be recorded and uploaded to the cloud for manual processing.

[0051] The cloud performs big data analysis on historical alarm data, identifies features that lead to false alarms or missed alarms through cluster analysis, automatically adjusts the threshold, response time and judgment rules in the vibration detection algorithm, and dynamically optimizes the alarm thresholds of vibration amplitude and frequency based on the false alarm and effective alarm ratio in historical alarm data;

[0052] When a certain type of alarm occurs more than three times in a row and they are all false alarms, the system will reduce the sensitivity of this type of alarm. When a type of feature triggers valid alarms for multiple consecutive times, the system will enhance the detection sensitivity of this type.

[0053] Example 2

[0054] As an embodiment of the present invention, a digital construction system for typical planning scenarios of county distribution networks is provided, including:

[0055] Noise monitoring and alarm module, vibration monitoring and alarm module, and data processing and feedback module;

[0056] The noise monitoring and alarm module is used to collect and analyze noise data in real time, determine whether there are any abnormalities, and trigger alarms based on the abnormalities;

[0057] The vibration monitoring and alarm module is used to monitor the vibration data of the equipment in real time, determine whether the vibration amplitude, frequency and resonance phenomenon exceed the set threshold, and track the duration of the vibration. If it exceeds the limit or is abnormal, the relevant alarm is triggered;

[0058] The data processing and feedback module is used to collect data from the noise and vibration monitoring modules, perform data fusion and multi-level analysis, identify potential risks and adjust monitoring standards in real time.

[0059] Example 3

[0060] An embodiment of the present invention is different from the first two embodiments in that:

[0061] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program code.

[0062] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0063] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0064] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0065] Example 4

[0066] As an embodiment of the present invention, a noise and vibration monitoring method for an energy storage power station is provided. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0067] The present invention uses Arduino Mega2560 as the main control board. Because it has many GPIO ports, 54 digital I / O pins, and 16 analog input pins, its rich interfaces basically meet the needs of the present invention to connect a large number of sensors. At the same time, compared with Uno, Arduino Mega:

[0068] More memory:

[0069] The Arduino Mega has 8KB of RAM, while the Arduino Uno has 2KB of RAM.

[0070] The Flash memory of Arduino Mega is 256KB while the Flash memory of Arduino Uno is 32KB.

[0071] More processing power:

[0072] The Arduino Mega uses the ATmega2560 microcontroller with a main frequency of 16MHz, which is the same ATmega328P microcontroller used in the Arduino Uno, but the Mega's architecture and instruction set are more complex and have stronger processing power.

[0073] More serial ports:

[0074] Arduino Mega has 4 hardware serial ports (Serial1, Serial2, Serial3), while Arduino Uno has only one hardware serial port (Serial).

[0075] More PWM channels:

[0076] The Arduino Mega has 15 PWM output pins, while the Arduino Uno has only 6.

[0077] More timers:

[0078] The Arduino Mega has 6 timers, while the Arduino Uno has only 3.

[0079] More scalable:

[0080] Due to the increase in the number of pins and functions, Arduino Mega is more suitable for projects that require a large number of I / O and complex control, such as large robots, complex sensor networks, etc. Therefore, it can meet the needs of multiple sensors. All data is aggregated by Arduino Mega2560 and transmitted to the host computer through USB communication, which displays and further processes it.

[0081] The experimental results are shown in the following table:

[0082]

[0083] As can be seen from the table above, the monitoring system significantly reduces the occurrence of faults. It identifies potential problems in advance through noise and vibration monitoring, reducing the equipment failure rate. The novel judgment criteria and multi-dimensional data analysis significantly reduce false alarms and improve the accuracy of the system's alarms. By optimizing the monitoring model and enhancing sensitivity, the missed alarm rate has been greatly reduced, improving the comprehensiveness of fault detection. The automated response mechanism reduces manual intervention, improves the alarm response speed, and ensures that potential problems are handled in a timely manner. Real-time alarms and emergency responses shorten the fault repair time and improve the system's recovery capabilities. The optimization of the vibration monitoring module effectively improves the accuracy and response rate of the vibration over-limit alarm. Through the refined standards of frequency and fluctuation analysis, the accuracy of the noise abnormality alarm has been significantly improved. The precise alarm and fault early warning mechanism reduces the maintenance frequency and repair cost, and improves the equipment operation efficiency. Through big data analysis and machine learning, the monitoring standards are continuously optimized and the feedback cycle of system optimization is shortened.

[0084] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A noise and vibration monitoring method for an energy storage power station, characterized in that: include: Monitor the noise signals inside and around the energy storage device, obtain the noise data of the device, and perform detection and alarm according to the noise data; Monitor the vibration of the energy storage device, obtain vibration data, and perform detection and alarm according to the vibration data; After the alarm ends, the relevant data will be uploaded to the cloud and the threshold will be adjusted regularly.

2. The noise and vibration monitoring method for an energy storage power station according to claim 1, characterized in that: The noise data includes the frequency, intensity, waveform characteristics and duration of the sound; the vibration data includes the vibration amplitude, peak frequency, duration, and whether there is a signal matching the resonance frequency.

3. The noise and vibration monitoring method for an energy storage power station according to claim 2, characterized in that: The alarm types of the noise data include abnormal discharge sound monitoring alarm, suspected combustion alarm, internal noise exceeding limit alarm, current breakdown explosion sound alarm, radiator abnormal sound alarm, and inlet and outlet noise decibel exceeding limit alarm. The alarm types of the vibration data include vibration amplitude exceeding limit alarm, equipment vibration and resonance abnormal alarm, and vibration time exceeding limit alarm.

4. The noise and vibration monitoring method for an energy storage power station according to claim 3, characterized in that: The detection alarm of the noise data includes that when the noise intensity is within the preset range, the frequency is within the working range of the equipment, the change amplitude is stable, the duration is short and the fluctuation is small, the difference between the background noise and the equipment noise is small, and the instantaneous peak value does not exceed the set threshold, the equipment is judged to be normal and no alarm action is performed; Compare the current data with the historical normal operation database. When the sound wave has frequent peaks for several consecutive seconds and the amplitude exceeds twice the historical average, the abnormal discharge sound alarm is triggered. At this time, the system immediately instructs the equipment to enter the shutdown state. Through real-time data transmission, the system uploads the frequency, amplitude and characteristics of the abnormal noise to the cloud database. After cloud computing and analysis, it is pushed to the mobile terminal device of the operation and maintenance personnel. If the noise is accompanied by abnormal temperature, the cooling system is automatically started to prevent the equipment from overheating. When the temperature sensor inside the equipment detects that the temperature rises rapidly by more than 3°C per second, and the noise exceeds 90dB with explosion characteristics, a suspected combustion alarm is triggered. At this time, the power supply is immediately cut off and the high-voltage and low-voltage circuits are disconnected. When smoke is detected at the same time, the fire extinguishing system is activated; When the noise amplitude is greater than the threshold for normal operation of the equipment, an internal noise over-limit alarm is triggered. At this time, the noise source is located through the real-time transmitted sound spectrum to determine whether it comes from a mechanical fault component inside the equipment. When the noise is determined to be internal electrical noise, the system automatically adjusts the operating frequency and power output of the electrical part. When periodic frequency instability or instantaneous high sound is detected, the radiator abnormal sound alarm is triggered. At this time, the system automatically adjusts the flow or wind speed of the cooling circuit and performs self-check on the fan. If the fan operates normally, the fan cooling is enabled; if the fan operates abnormally, the backup cooling system is started. When the system determines that there is dust accumulation in the radiator or the heat dissipation is not smooth, the internal cleaning function is automatically started; When the air outlet detects high-frequency noise above 90dB, the inlet and outlet noise decibel limit alarm is triggered. At this time, the air door opening and fan speed are automatically adjusted until the noise is reduced to the standard range; When the current frequency range is between 20Hz-200Hz and the amplitude exceeds the threshold, a current breakdown blasting sound alarm is triggered. At this time, the power line related to the current breakdown source is immediately disconnected and automatically switched to the backup power supply.

5. The noise and vibration monitoring method for an energy storage power station according to claim 4, characterized in that: The detection alarm of the vibration data includes that when the vibration amplitude of the device is within the range of 0 to the rated vibration amplitude, and the environmental vibration acceleration is lower than a specific safety threshold and there is no obvious frequency change, the device is judged to be normal and no alarm action is performed; Compare the real-time collected vibration sensor data with the set normal vibration amplitude range. When the vibration amplitude exceeds the maximum set threshold for 3 consecutive seconds, the vibration amplitude over-limit alarm is triggered. At this time, the output power of the energy storage device is limited to 70% of the original power. When the vibration lasts for more than 10 seconds, the system automatically triggers structural protection measures to adjust the equipment bracket and reduce the amplitude of vibration transmission. Compare the vibration frequency of the equipment with its design frequency or known fault frequency. When the vibration frequency of the equipment is close to or overlaps with the known resonance frequency, the equipment vibration and resonance abnormality alarm is triggered. At this time, the frequency of the resonance structure is changed through the dynamic damper to reduce the working speed of the high-frequency vibration components. When the resonance cannot be eliminated, all modules that may cause the resonance are cut off and the resonance source is isolated. The system monitors the duration of vibration. When the vibration does not return to the normal range within the set time window, the vibration time limit alarm is triggered. At this time, the vibration time is recorded and dynamic power adjustment is started to divert the output power to other modules to reduce the load of components affected by the vibration.

6. The noise and vibration monitoring method for an energy storage power station according to claim 5, characterized in that: After the alarm is issued, the system enters the alarm feedback mode and re-collects and analyzes vibration data every 5 minutes after the alarm occurs to determine whether the vibration anomaly has disappeared or weakened; When the vibration returns to the normal range, the system marks the alarm status as temporarily lifted and records the data characteristics before and after the release; When the alarm persists or increases, the change trend is recorded and uploaded to the cloud for manual processing.

7. The noise and vibration monitoring method for an energy storage power station according to claim 6, characterized in that: The periodic adjustment of the threshold value includes: the cloud performs big data analysis on historical alarm data, identifies the features that cause false alarms or missed alarms through cluster analysis, automatically adjusts the threshold value, response time and judgment rule in the vibration detection algorithm, and dynamically optimizes the alarm threshold value of vibration amplitude and frequency based on the false alarm and effective alarm ratio in the historical alarm data; When a certain type of alarm occurs more than three times in a row and they are all false alarms, the system will reduce the sensitivity of this type of alarm. When a type of feature triggers valid alarms for multiple consecutive times, the system will enhance the detection sensitivity of this type.

8. A system using the noise and vibration monitoring method for an energy storage power station as claimed in any one of claims 1 to 7, characterized in that: include: Noise monitoring and alarm module, vibration monitoring and alarm module, and data processing and feedback module; The noise monitoring and alarm module is used to collect and analyze noise data in real time, determine whether there is an abnormality, and trigger an alarm based on the abnormality; The vibration monitoring and alarm module is used to monitor the vibration data of the equipment in real time, determine whether the vibration amplitude, frequency and resonance phenomenon exceed the set threshold, and track the duration of the vibration. If it exceeds the limit or is abnormal, the relevant alarm is triggered; The data processing and feedback module is used to collect data from the noise and vibration monitoring modules, perform data fusion and multi-level analysis, identify potential risks and adjust monitoring standards in real time.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the noise and vibration monitoring method for an energy storage power station according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the noise and vibration monitoring method for an energy storage power station according to any one of claims 1 to 7 are implemented.

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