A noise monitoring system and method for night construction

Abstract

The application relates to the technical field of night construction noise monitoring, and particularly discloses a noise monitoring system and method for night construction, wherein the noise monitoring system for night construction comprises a monitoring module, an alarm module and a processing module; the monitoring module is used for acquiring comprehensive noise information during construction; the alarm module is provided with a 4G and 5G communication unit and is used for sending alarm information; and the processing module is used for controlling the alarm module to send alarm information according to the comprehensive noise information. The monitoring module is used for acquiring the comprehensive noise information during construction in real time, the processing module is used for controlling the alarm module to send alarm information to the supervision department and relevant personnel through a network according to the comprehensive noise information, so that the supervision department and the relevant personnel can timely receive the alarm information, understand the noise pollution situation, take corresponding measures to protect the environment and the health of residents, and meanwhile, false alarms and unnecessary interference can be avoided. The influence of noise pollution on surrounding residents and the environment is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of night construction noise monitoring, and particularly relates to a noise monitoring system and method for night construction. BACKGROUND

[0002] In the process of urbanization, construction has become an indispensable part of urban construction. However, construction noise has a negative impact on the normal life and rest of surrounding residents, which has attracted widespread attention. Especially at night, the impact of noise on surrounding residents is more obvious, so the monitoring and control of night construction noise is particularly important.

[0003] Currently, some night construction noise monitoring systems and methods have been proposed. These systems and methods usually include noise sensors, signal processors, displays and alarm devices. The sensor is used to collect noise signals, the signal processor is used to process and analyze the signals, and the results are displayed on the display. When the noise exceeds the specified limit, the alarm device will issue an alarm.

[0004] However, these existing systems and methods have some problems, such as insufficient processing capacity of the signal processor, long response time of the alarm device, and false alarms or missed alarms caused by the alarm device, which causes the regulatory authorities and relevant personnel to receive false alarms and unnecessary interference. SUMMARY

[0005] The purpose of the present application is to provide a noise monitoring system and method for night construction, which aims to solve the problems of insufficient processing capacity of the signal processor, long response time of the alarm device, and false alarms or missed alarms caused by the alarm device, which causes the regulatory authorities and relevant personnel to receive false alarms and unnecessary interference.

[0006] In one aspect, the present application provides a noise monitoring system for night construction, comprising:

[0007] a monitoring module for obtaining comprehensive noise information during construction;

[0008] an alarm module provided with 4G and 5G communication units, the alarm module being configured to send alarm information;

[0009] a processing module for controlling the alarm module to send alarm information according to the comprehensive noise information.

[0010] Further, the monitoring module comprises:

[0011] a sound monitoring unit for real-time monitoring of sound information;

[0012] A shock wave monitoring unit is configured to monitor the shock wave information in real time.

[0013] Further, the processing module comprises:

[0014] A processing unit is configured to adjust the alarm information level according to the sound information monitored by the monitoring module and the shock wave information monitored in real time.

[0015] A control unit is configured to control the alarm module to send alarm information according to the alarm information level.

[0016] Further, the processing unit is further configured to obtain a sound value P in the sound information monitored in real time, and a preset standard noise value P0 is set in the processing unit.

[0017] The processing unit is further configured to determine whether the sound value P monitored in real time is noise according to the relationship between the sound value P and the preset standard noise value P0.

[0018] When P

[0019] When P≥P0, the processing unit determines that the sound value P monitored in real time is noise, and adjusts the alarm information level according to the sound difference between the sound value P and the preset standard noise value P0.

[0020] Further, when the processing unit determines that the sound value P monitored in real time is noise and adjusts the alarm information level according to the sound difference between the sound value and the preset standard noise value P0, the processing unit comprises:

[0021] The processing unit is further configured to adjust the alarm information level U of the alarm module.

[0022] A preset sound difference matrix Y is further set in the processing unit, and for the preset sound difference matrix Y, Y (Y1, Y2, Y3, Y4) is set, wherein Y1 is a first preset sound difference, Y2 is a second preset sound difference, Y3 is a third preset sound difference, Y4 is a fourth preset sound difference, and Y1Y2Y3Y4; a preset alarm information level adjustment coefficient matrix H is further set in the processing unit, and for the preset alarm information level adjustment coefficient matrix H, H (H1, H2, H3, H4) is set, wherein H1 is a first preset alarm information level adjustment coefficient, H2 is a second preset alarm information level adjustment coefficient, H3 is a third preset alarm information level adjustment coefficient, and H4 is a fourth preset alarm information level adjustment coefficient, and 0

[0023] The processing unit is further configured to select a corresponding preset alarm information level adjustment coefficient to adjust the level of the alarm information according to a relationship between a sound difference value between the sound value P and the preset standard sound value P0 and each preset sound difference value;

[0024] When P-P0Y1, the processing unit is configured to select not to adjust the level of the alarm information;

[0025] When Y1≤P-P0Y2, the processing unit is configured to select the first preset alarm information level adjustment coefficient H1 to adjust the level of the alarm information, and the adjusted alarm information level is U*H1;

[0026] When Y2≤P-P0Y3, the processing unit is configured to select the second preset alarm information level adjustment coefficient H2 to adjust the level of the alarm information, and the adjusted alarm information level is U*H2;

[0027] When Y3≤P-P0Y4, the processing unit is configured to select the third preset alarm information level adjustment coefficient H3 to adjust the level of the alarm information, and the adjusted alarm information level is U*H3;

[0028] When Y4≤P-P0, the processing unit is configured to select the fourth preset alarm information level adjustment coefficient H4 to adjust the level of the alarm information, and the adjusted alarm information level is U*H4.

[0029] Further, when the processing unit selects the i-th preset alarm information level adjustment coefficient H1 to adjust the level of the alarm information, and the adjusted alarm information level is U*H1, i=1, 2, 3, 4, including:

[0030] The processing unit is further configured to obtain a vibration fluctuation frequency K in a period of time, and the processing unit is further configured to determine whether the vibration fluctuation frequency K in the period of time is in a standard vibration fluctuation frequency range according to a relationship between the vibration fluctuation frequency K in the period of time and a preset standard vibration fluctuation frequency K0;

[0031] When K≤K0, the processing unit is configured to determine that the vibration fluctuation frequency K in the period of time is in the standard vibration fluctuation frequency range;

[0032] When K>K0, the processing unit is configured to determine that the vibration fluctuation frequency K in the period of time is not in the standard vibration fluctuation frequency range, and to correct the adjusted alarm information level U*H1 according to a frequency difference value between the vibration fluctuation frequency K in the period of time and the preset standard vibration fluctuation frequency K0.

[0033] Furthermore, when the processing unit determines that the number of vibration fluctuations K within a certain period of time is not within the standard vibration fluctuation range, it corrects the adjusted alarm information level U*Hi based on the difference between the number of vibration fluctuations K within a certain period of time and the preset standard vibration fluctuation number K0, including:

[0034] The processing unit also includes a preset frequency difference matrix T, where T(T1, T2, T3, T4) is defined, where T1 is the first preset frequency difference, T2 is the second preset frequency difference, T3 is the third preset frequency difference, and T4 is the fourth preset frequency difference, and T1 < T2 < T3 < T4. The processing unit also includes a preset alarm information level correction coefficient matrix J, where J(J1, J2, J3, J4) is defined, where J1 is the first preset alarm information level correction coefficient, J2 is the second preset alarm information level correction coefficient, J3 is the third preset alarm information level correction coefficient, and J4 is the fourth preset alarm information level correction coefficient, and 0 < J1 < J2 < J3 < J4 < 0.5.

[0035] The processing unit is further configured to select a corresponding alarm information level correction coefficient to correct the adjusted alarm information level U*Hi based on the difference between the number of vibration fluctuations K and the preset standard number of vibration fluctuations K0 over a period of time and each preset number difference;

[0036] When K-K0 < T1, the adjusted alarm information level U*Hi will not be corrected.

[0037] When T1≤K-K0<T2, the first preset alarm information level correction coefficient J1 is selected to correct the adjusted alarm information level U*Hi, and the corrected alarm information level is U*Hi*J1.

[0038] When T2≤K-K0<T3, the second preset alarm information level correction coefficient J2 is selected to correct the adjusted alarm information level U*Hi, and the corrected alarm information level is U*Hi*J2.

[0039] When T3≤K-K0<T4, the third preset alarm information level correction coefficient J3 is selected to correct the adjusted alarm information level U*Hi, and the corrected alarm information level is U*Hi*J3.

[0040] When T4≤K-K0, the fourth preset alarm information level correction coefficient J4 is selected to correct the adjusted alarm information level U*Hi, and the corrected alarm information level is U*Hi*J4.

[0041] In another aspect, the present invention provides a noise monitoring method for nighttime construction work, applicable to the noise monitoring system for nighttime construction work as described in the above embodiments, comprising:

[0042] Acquire real-time sound and vibration data during construction;

[0043] And acquire the sound value P from the sound information during the real-time monitoring construction period;

[0044] Based on the relationship between the obtained sound value P and the standard value P0, determine whether the sound value P is noise;

[0045] When P < P0, the sound value P is determined not to be noise;

[0046] When P≥P0, the sound value P is determined to be noise, and the noise alarm level is adjusted according to the sound difference between the sound value P and the preset standard noise value P0.

[0047] Furthermore, when P ≥ P0, the sound value P is determined to be noise, and the noise alarm level is adjusted according to the sound difference between the sound value P and the preset standard noise value P0, including:

[0048] The first preset sound difference Y1, the second preset sound difference Y2, the third preset sound difference Y3 and the fourth preset sound difference Y4 are preset, and Y1 < Y2 < Y3 < Y4. The first preset noise alarm level adjustment coefficient H1, the second preset noise alarm level adjustment coefficient H2, the third preset noise alarm level adjustment coefficient H3 and the fourth preset noise alarm level adjustment coefficient H4 are also preset, and 0 < H1 < H1 < H1 < H1 < 1.

[0049] Based on the relationship between the sound difference between the sound value P and the preset standard noise value P0 and each preset sound difference, a corresponding preset noise alarm level adjustment coefficient is selected to adjust the noise alarm level;

[0050] When P-P0 < Y1, it is selected that the noise alarm level will not be adjusted;

[0051] When Y1≤P-P0<Y2, the first preset noise alarm level adjustment coefficient H1 is selected to adjust the noise alarm level, and the adjusted noise alarm level is U*H1.

[0052] When Y2≤P-P0<Y3, the second preset noise alarm level adjustment coefficient H2 is selected to adjust the noise alarm level, and the adjusted noise alarm level is U*H2;

[0053] When Y3≤P-P0<Y4, the third preset noise alarm level adjustment coefficient H3 is selected to adjust the noise alarm level, and the adjusted noise alarm level is U*H3.

[0054] When Y4≤P-P0, the fourth preset noise alarm level adjustment coefficient H4 is selected to adjust the noise alarm level, and the adjusted noise alarm level is U*H4.

[0055] Furthermore, when adjusting the noise alarm level by selecting the i-th preset noise alarm level adjustment coefficient Hi, and obtaining the adjusted noise alarm level as U*Hi, i=1,2,3,4, including:

[0056] Obtain the number of vibration fluctuations K over a period of time from the vibration fluctuation information;

[0057] Based on the relationship between the number of vibration fluctuations K over a period of time and the preset standard number of vibration fluctuations K0, it is determined whether the number of vibration fluctuations K over a period of time is within the standard vibration fluctuation range.

[0058] When K≤K0, it is determined that the number of vibration fluctuations K within a certain period of time is within the standard range of vibration fluctuations.

[0059] When K > K0, it is determined that the number of vibration fluctuations K within a certain period of time is not within the standard vibration fluctuation range, and the alarm information level U*Hi is corrected and adjusted based on the difference between the number of vibration fluctuations K within a certain period of time and the preset standard vibration fluctuation number K0; where,

[0060] A first preset number of times difference T1, a second preset number of times difference T2, a third preset number of times difference T3, and a fourth preset number of times difference T4 are preset, and T1 < T2 < T3 < T4; a first preset noise alarm level correction coefficient J1, a second preset noise alarm level correction coefficient J2, a third preset noise alarm level correction coefficient J3, and a fourth preset noise alarm level correction coefficient J4 are preset, and 0 < J1 < J2 < J3 < J4 < 0.5;

[0061] Based on the difference between the number of vibration fluctuations K and the preset standard number of vibration fluctuations K0 over a period of time, and the difference between each preset number, a corresponding preset noise alarm level correction coefficient is selected to correct the adjusted noise alarm level U*Hi.

[0062] When K-K0 < T1, the adjusted noise alarm level U*Hi will not be corrected.

[0063] When T1≤K-K0<T2, the first preset noise alarm level correction coefficient J1 is selected to correct the adjusted noise alarm level U*Hi, and the corrected noise alarm level is U*Hi*J1.

[0064] When T2≤K-K0<T3, the second preset noise alarm level correction coefficient J2 is selected to correct the adjusted noise alarm level U*Hi, and the corrected noise alarm level is U*Hi*J2.

[0065] When T3≤K-K0<T4, the third preset noise alarm level correction coefficient J3 is selected to correct the adjusted noise alarm level U*Hi. The corrected noise alarm level is U*Hi*J3.

[0066] When T4≤K-K0, the fourth preset noise alarm level correction coefficient J4 is selected to correct the adjusted noise alarm level U*Hi, and the corrected noise alarm level is U*Hi*J4.

[0067] Compared with existing technologies, the noise monitoring system and method for nighttime construction disclosed in this invention have the following advantages: The monitoring module can acquire comprehensive noise information during construction in real time. The processing module, based on this comprehensive noise information, controls an alarm module equipped with 4G and 5G communication units to send alarm information to regulatory departments and relevant personnel via the network. This helps regulatory departments and relevant personnel receive alarm information promptly, understand the noise pollution situation, and take corresponding measures to protect the environment and residents' health, while avoiding false alarms and unnecessary interference. This improves the management efficiency of construction sites, reduces the impact of noise pollution on surrounding residents and the environment, and ensures construction progress and worker safety.

[0068] Furthermore, this invention provides a noise monitoring system and method for nighttime construction. It compares real-time sound levels during construction with standard noise values ​​to determine whether the sound is noise, avoiding misjudgments and omissions that could cause unnecessary interference to regulatory departments and relevant personnel. Furthermore, by adjusting the noise alarm level based on the sound difference when noise is detected, it more accurately reflects the intensity and impact of noise, helping construction teams to take timely countermeasures. Effective noise monitoring and alarm systems at construction sites help improve site safety and stability, and reduce the impact of noise on the surrounding environment and personnel. Attached Figure Description

[0069] Figure 1 This is a schematic diagram of the structural framework of a noise monitoring system for nighttime construction according to an embodiment of the present invention.

[0070] Figure 2This is a schematic diagram of the process framework of a noise monitoring method for nighttime construction according to an embodiment of the present invention. Detailed Implementation

[0071] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0072] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0073] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0074] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0075] In the process of urbanization, building construction has become an indispensable part of urban development. However, construction noise has adversely affected the normal lives and rest of surrounding residents, attracting widespread attention. The impact of noise on residents is particularly pronounced during nighttime construction, making the monitoring and control of nighttime construction noise especially important.

[0076] Currently, several nighttime construction noise monitoring systems and methods have been proposed. These systems and methods typically include noise sensors, signal processors, displays, and alarm devices. Sensors are used to collect noise signals, signal processors are used to process and analyze the signals, and the results are displayed on the display. When the noise exceeds the specified limits, the alarm device will sound an alarm.

[0077] Therefore, the purpose of this invention is to provide a noise monitoring system and method for nighttime construction, which aims to solve the problems of insufficient processing power of the signal processor, excessively long response time of the alarm device, and the occurrence of the alarm device issuing incorrect alarm information due to misjudgment or omission, thereby causing regulatory departments and relevant personnel to receive false alarms and unnecessary interference.

[0078] like Figure 1 As shown in the figure, a preferred embodiment of the present invention provides a noise monitoring system for nighttime construction, comprising: a monitoring module, an alarm module, and a processing module.

[0079] Specifically, the monitoring module is used to acquire comprehensive noise information during construction; the alarm module is equipped with 4G and 5G communication units and is used to send alarm information; the processing module is used to control the alarm module to send alarm information based on the comprehensive noise information.

[0080] As can be seen, the noise monitoring system for nighttime construction in this embodiment of the invention consists of a monitoring module responsible for acquiring comprehensive noise information during construction, an alarm module equipped with 4G and 5G communication units for sending alarm information, and a processing module that controls the alarm module to send alarm information based on the comprehensive noise information. The processing module controls the alarm module to send alarm information to the regulatory authorities and relevant personnel in a timely manner through the network based on the comprehensive noise information during construction, thereby enabling the regulatory authorities and relevant personnel to keep abreast of the nighttime construction noise situation at the construction site.

[0081] Understandably, the processing module controls the alarm module to promptly send alarm information to regulatory authorities and relevant personnel via the network based on comprehensive noise information during the construction period. This ensures that regulatory authorities and relevant personnel receive alarm information in a timely manner and take appropriate emergency measures. Simultaneously, it avoids unnecessary interference caused by sending false alarms to regulatory authorities and relevant personnel, further improving the management efficiency of the construction site, reducing the impact of noise pollution on surrounding residents and the environment, and ensuring construction progress and worker safety.

[0082] Specifically, in some embodiments of the present invention, the monitoring module includes: a sound monitoring unit and a seismic wave monitoring unit. The sound monitoring unit is used for real-time monitoring of sound information; the seismic wave monitoring unit is used for real-time monitoring of vibration wave information.

[0083] Specifically, in some embodiments of the present invention, the processing module includes a processing unit and a control unit. The processing unit is used to adjust the alarm information level according to the sound information monitored by the monitoring module and the vibration fluctuation information monitored in real time; the control unit is used to control the alarm module to send alarm information according to the alarm information level.

[0084] Understandably, the sound monitoring unit and seismic monitoring unit can acquire real-time sound and vibration information from the construction site, thereby improving the accuracy of construction noise monitoring. Furthermore, the processing unit adjusts the noise alarm level based on the sound and vibration information, making the noise alarm information more reliable and accurate. Simultaneously, the control unit can promptly send noise alarm information to regulatory departments and relevant personnel based on the alarm level, enabling them to effectively understand the noise situation at the construction site. This, in turn, allows regulatory departments and relevant personnel to effectively improve the safety and stability of the construction site and reduce the impact of noise on the surrounding environment and personnel.

[0085] Specifically, the processing unit is also used to acquire the sound value P from the real-time monitored sound information. The processing unit has a preset standard noise value P0. The processing unit is also used to determine whether the real-time monitored sound value P is noise based on the relationship between the sound value P and the preset standard noise value P0: when P < P0, the processing unit determines that the real-time monitored sound value P is not noise and does not control the alarm module to send alarm information. When P ≥ P0, the processing unit determines that the real-time monitored sound value P is noise and adjusts the alarm information level according to the sound difference between the sound value P and the preset standard noise value P0.

[0086] It can be seen that by utilizing the processing unit to acquire sound values ​​from real-time monitored sound information and determining whether the sound value is noise, the false alarm rate is reduced and the accuracy of alarm information is improved. Setting a preset standard noise value P0 further enhances the accuracy of noise monitoring. The processing unit adjusts the alarm information level based on the difference between the sound value P and the preset standard noise value P0, allowing construction personnel to more accurately understand the noise situation at the construction site and more effectively control noise.

[0087] Understandably, by setting a preset standard noise value P0 and judging the severity of noise problems based on the relationship between the real-time monitored sound values ​​P and P0, the alarm information level is adjusted accordingly, making the alarm information more targeted and accurate. Sending alarm information through the alarm module allows relevant personnel to be aware of the existence of noise problems in a timely manner, enabling them to take effective measures to resolve them, further improving the safety and environmental protection level of the construction process. This effectively monitors and handles noise problems during construction, reducing the impact on the environment and residents, and improving the safety and environmental protection level of the construction process.

[0088] Specifically, in some embodiments of the present invention, when the processing unit determines that the real-time monitored sound value P is noise and adjusts the alarm information level according to the sound difference between the sound value and the preset standard noise value P0, the processing unit is also used to adjust the alarm information level U of the alarm module. The processing unit also includes a preset sound difference matrix Y, where Y(Y1, Y2, Y3, Y4) is defined, where Y1 is the first preset sound difference, Y2 is the second preset sound difference, Y3 is the third preset sound difference, and Y4 is the fourth preset sound difference, with Y1 < Y2 < Y3 < Y4. The processing unit also includes a preset alarm information level adjustment coefficient matrix H, where H(H1, H2, H3, H4) is defined, where H1 is the first preset alarm information level adjustment coefficient, H2 is the second preset alarm information level adjustment coefficient, H3 is the third preset alarm information level adjustment coefficient, and H4 is the fourth preset alarm information level adjustment coefficient, with 0 < H1 < H1 < H1 < H1 < 1. The processing unit is also used to adjust the alarm information level by selecting the corresponding preset alarm information level adjustment coefficient based on the relationship between the sound difference between the sound value P and the preset standard noise value P0 and each preset sound difference.

[0089] When P-P0 < Y1, the alarm level is not adjusted.

[0090] When Y1≤P-P0<Y2, the first preset alarm information level adjustment coefficient H1 is selected to adjust the alarm information level, and the adjusted alarm information level is U*H1.

[0091] When Y2≤P-P0<Y3, the second preset alarm information level adjustment coefficient H2 is selected to adjust the alarm information level, and the adjusted alarm information level is U*H2.

[0092] When Y3≤P-P0<Y4, the third preset alarm information level adjustment coefficient H3 is selected to adjust the alarm information level. The adjusted alarm information level is U*H3.

[0093] When Y4≤P-P0, the fourth preset alarm information level adjustment coefficient H4 is selected to adjust the alarm information level, and the adjusted alarm information level is U*H4.

[0094] As can be seen, when the processing unit determines that the real-time monitored sound value P is noise, it adjusts the alarm level based on the sound difference between the sound value P and the preset standard noise value P0, selecting a corresponding preset alarm level adjustment coefficient. By adaptively adjusting the alarm level according to the real-time monitored sound value, the accuracy and usability of the alarm are improved.

[0095] Understandably, by selecting a corresponding preset alarm information level adjustment coefficient based on the difference between the actual sound value and the preset standard noise value, the alarm information level can be adaptively adjusted, thereby more accurately reflecting the actual situation. This reduces the time and effort required for manual intervention and improves efficiency. On the other hand, by adaptively adjusting the alarm information level, potential safety issues can also be more accurately reflected, thus improving security.

[0096] Specifically, in some embodiments of the present invention, when the processing unit selects the i-th preset alarm information level adjustment coefficient Hi to adjust the alarm information level and obtains the adjusted alarm information level as U*Hi, i=1,2,3,4, the following steps are taken: the processing unit is further used to obtain the number of vibration fluctuations K within a certain period of time in the vibration fluctuation information. The processing unit also sets a preset standard number of vibration fluctuations K0. The processing unit is further used to determine whether the number of vibration fluctuations K within a certain period of time is within the standard vibration fluctuation range based on the relationship between the number of vibration fluctuations K within a certain period of time and the preset standard number of vibration fluctuations K0: when K≤K0, the processing unit determines that the number of vibration fluctuations K within a certain period of time is within the standard vibration fluctuation range. When K>K0, the processing unit determines that the number of vibration fluctuations K within a certain period of time is not within the standard vibration fluctuation range, and corrects the adjusted alarm information level U*Hi based on the difference between the number of vibration fluctuations K within a certain period of time and the preset standard number of vibration fluctuations K0.

[0097] As can be seen, the processing unit calculates the difference between the current sound value and the preset standard noise value in real time. Then, based on the preset sound difference matrix Y, it determines the alarm information level adjustment coefficient H for the current sound value, thereby adjusting the alarm information level. Simultaneously, the processing unit acquires the number of vibration fluctuations K over a period of time from the vibration fluctuation information and determines whether the current vibration fluctuation number K is within the standard vibration fluctuation number range based on the preset standard vibration fluctuation number K0. If the current vibration fluctuation number K exceeds the standard range, the processing unit corrects the adjusted alarm information level U*Hi based on the difference between the vibration fluctuation number K and the preset standard vibration fluctuation number K0, thus making the issued alarm information more accurate.

[0098] Understandably, by monitoring and analyzing vibration fluctuation information, it's possible to determine in real-time whether the vibration fluctuation count K over a period of time falls within the standard vibration fluctuation count range. If it's within the standard range, false alarms are avoided, thus reducing the false alarm rate and improving alarm accuracy. Furthermore, when the vibration fluctuation count K over a period of time is not within the standard vibration fluctuation count range, the alarm level can be adjusted based on the difference in vibration fluctuation counts, thereby more accurately reflecting the equipment's operating status, while further reducing the false alarm rate and improving alarm accuracy.

[0099] Specifically, in some embodiments of the present invention, when the processing unit determines that the number of vibration fluctuations K within a certain period of time is not within the standard vibration fluctuation range, it corrects and adjusts the alarm information level U*Hi based on the difference between the number of vibration fluctuations K within a certain period of time and the preset standard vibration fluctuation range K0. This includes: the processing unit further sets a preset number difference matrix T, and for the preset number difference matrix T, sets T(T1, T2, T3, T4), where T1 is the first preset number difference, T2 is the second preset number difference, and T3 is the third preset number difference. The processing unit also has three preset frequency differences, with T4 being the fourth preset frequency difference, and T1 < T2 < T3 < T4. A preset alarm information level correction coefficient matrix J is also set within the processing unit. For this matrix, J(J1, J2, J3, J4) is defined, where J1 is the first preset alarm information level correction coefficient, J2 is the second preset alarm information level correction coefficient, J3 is the third preset alarm information level correction coefficient, and J4 is the fourth preset alarm information level correction coefficient, with 0 < J1 < J2 < J3 < J4 < 0.5. The processing unit is further used to correct the adjusted alarm information level U*Hi by selecting the corresponding alarm information level correction coefficient based on the frequency difference between the vibration fluctuation frequency K and the preset standard vibration fluctuation frequency K0 over a period of time, and the differences between each preset frequency.

[0100] When K-K0 < T1, the adjusted alarm information level U*Hi will not be corrected.

[0101] When T1≤K-K0<T2, the first preset alarm information level correction coefficient J1 is selected to correct the adjusted alarm information level U*Hi, and the corrected alarm information level is U*Hi*J1.

[0102] When T2≤K-K0<T3, the second preset alarm information level correction coefficient J2 is selected to correct the adjusted alarm information level U*Hi. The corrected alarm information level is U*Hi*J2.

[0103] When T3≤K-K0<T4, the third preset alarm information level correction coefficient J3 is selected to correct the adjusted alarm information level U*Hi. The corrected alarm information level is U*Hi*J3.

[0104] When T4≤K-K0, the fourth preset alarm information level correction coefficient J4 is selected to correct the adjusted alarm information level U*Hi. The corrected alarm information level is U*Hi*J4.

[0105] As can be seen, the processing unit determines whether the current vibration fluctuation number K falls within the standard vibration fluctuation number range based on the preset standard vibration fluctuation number K0 and the preset difference matrix T. It then selects appropriate alarm information level correction coefficients for different difference values ​​to improve the accuracy of the alarm information. This also ensures that the alarm information received by regulatory authorities or relevant personnel is more precise.

[0106] Understandably, by adjusting the alarm level based on the difference between the number of vibration fluctuations over a period of time and the preset standard number of vibration fluctuations, and by selecting an appropriate alarm level correction coefficient, the accuracy and reliability of the alarm information are improved. Simultaneously, if the number of vibration fluctuations is less than the preset standard number, the adjusted alarm level is not corrected, thereby reducing the false alarm rate.

[0107] In summary, this invention provides a noise monitoring system for nighttime construction. It acquires comprehensive noise information at the construction site by installing a monitoring module and sets an alarm threshold for this comprehensive noise information within a processing module. When the comprehensive noise information exceeds the set threshold, the processing module promptly controls the alarm module to send alarm information to regulatory authorities and relevant personnel. This allows the processing module to promptly detect noise exceeding the standard and send alarm information through the alarm module, enabling staff to take timely measures to protect the tranquility of the surrounding environment of the construction site.

[0108] See Figure 2 A preferred embodiment of the present invention also provides a noise monitoring method for nighttime construction, applicable to the noise monitoring system for nighttime construction as described in the above embodiments, comprising:

[0109] Step S100. Obtain real-time monitoring of sound and vibration information during construction.

[0110] Step S200. Obtain the sound value P from the sound information during real-time monitoring of construction.

[0111] Step S300. Based on the relationship between the obtained sound value P and the standard value P0, determine whether the sound value P is noise: when P < P0, the sound value P is determined not to be noise. When P ≥ P0, the sound value P is determined to be noise, and the noise alarm level is adjusted according to the sound difference between the sound value P and the preset standard noise value P0.

[0112] It can be seen that by monitoring sound and vibration information during construction in real time, and judging whether the sound is noise based on the relationship between the sound value and the standard value, the noise can be alarmed.

[0113] Understandably, real-time noise monitoring and alarm processing effectively reduce the interference and impact on the surrounding environment during construction. Furthermore, by using preset standard noise levels and noise alarm grades to assess and handle different noise conditions, the accuracy of noise alarms is ensured.

[0114] Specifically, in some embodiments of the present invention, when P ≥ P0, the sound value P is determined to be noise, and the noise alarm level is adjusted according to the sound difference between the sound value P and the preset standard noise value P0. This includes: pre-setting a first preset sound difference Y1, a second preset sound difference Y2, a third preset sound difference Y3, and a fourth preset sound difference Y4, where Y1 < Y2 < Y3 < Y4; and pre-setting a first preset noise alarm level adjustment coefficient H1, a second preset noise alarm level adjustment coefficient H2, a third preset noise alarm level adjustment coefficient H3, and a fourth preset noise alarm level adjustment coefficient H4, where 0 < H1 < H1 < H1 < H1 < 1. Based on the relationship between the sound difference between the sound value P and the preset standard noise value P0 and each preset sound difference, a corresponding preset noise alarm level adjustment coefficient is selected to adjust the noise alarm level.

[0115] When P-P0 < Y1, it is selected that the noise alarm level will not be adjusted.

[0116] When Y1≤P-P0<Y2, the first preset noise alarm level adjustment coefficient H1 is selected to adjust the noise alarm level, and the adjusted noise alarm level is U*H1.

[0117] When Y2≤P-P0<Y3, the second preset noise alarm level adjustment coefficient H2 is selected to adjust the noise alarm level. The adjusted noise alarm level is U*H2.

[0118] When Y3≤P-P0<Y4, the third preset noise alarm level adjustment coefficient H3 is selected to adjust the noise alarm level. The adjusted noise alarm level is U*H3.

[0119] When Y4≤P-P0, the fourth preset noise alarm level adjustment coefficient H4 is selected to adjust the noise alarm level. The adjusted noise alarm level is U*H4.

[0120] It is understood that in this embodiment of the invention, the noise alarm level is adjusted by selecting a corresponding preset noise alarm level adjustment coefficient based on the difference between the actual measured sound value and the preset standard noise value. When the difference is less than the first preset sound difference value, no noise alarm level adjustment is performed; when the difference is between two adjacent preset sound differences, the corresponding preset noise alarm level adjustment coefficient is selected to adjust the noise alarm level. This further ensures the accuracy of the noise alarm level and also effectively enables relevant construction personnel to better understand the real-time noise situation at the construction site.

[0121] Understandably, adjusting the noise alarm level based on the difference between the actual noise level and the preset standard noise level can more accurately reflect the noise level in the current environment. This improves the accuracy of sound alarms and avoids false alarms caused by momentary noise interference. Furthermore, by setting multiple preset sound difference values ​​and noise alarm level adjustment coefficients, settings can be customized according to specific environmental requirements, making the noise alarm more applicable and suitable for different application scenarios.

[0122] Specifically, when adjusting the noise alarm level by selecting the i-th preset noise alarm level adjustment coefficient Hi, and obtaining the adjusted noise alarm level as U*Hi, i=1,2,3,4, this includes: obtaining the number of vibration fluctuations K within a certain period of time from the vibration fluctuation information; and determining whether the number of vibration fluctuations K within a certain period of time is within the standard vibration fluctuation range based on the relationship between the number of vibration fluctuations K within a certain period of time and the preset standard vibration fluctuation number K0.

[0123] When K≤K0, it is determined that the number of vibration fluctuations K within a certain period of time is within the standard range of vibration fluctuations.

[0124] When K > K0, it is determined that the number of vibration fluctuations K within a certain period of time is not within the standard vibration fluctuation range. Based on the difference between the number of vibration fluctuations K within a certain period of time and the preset standard vibration fluctuation number K0, the adjusted alarm information level U*Hi is then corrected.

[0125] A first preset frequency difference T1, a second preset frequency difference T2, a third preset frequency difference T3, and a fourth preset frequency difference T4 are preset, where T1 < T2 < T3 < T4; a first preset noise alarm level correction coefficient J1, a second preset noise alarm level correction coefficient J2, a third preset noise alarm level correction coefficient J3, and a fourth preset noise alarm level correction coefficient J4 are preset, where 0 < J1 < J2 < J3 < J4 < 0.5; based on the frequency difference between the vibration fluctuation frequency K over a period of time and the preset standard vibration fluctuation frequency K0, and each preset frequency difference, the corresponding preset noise alarm level correction coefficient is selected to correct the adjusted noise alarm level U*Hi.

[0126] When K-K0 < T1, the adjusted noise alarm level U*Hi will not be corrected.

[0127] When T1≤K-K0<T2, the first preset noise alarm level correction coefficient J1 is selected to correct the adjusted noise alarm level U*Hi, and the corrected noise alarm level is U*Hi*J1.

[0128] When T2≤K-K0<T3, the second preset noise alarm level correction coefficient J2 is selected to correct the adjusted noise alarm level U*Hi. The corrected noise alarm level is U*Hi*J2.

[0129] When T3≤K-K0<T4, the third preset noise alarm level correction coefficient J3 is selected to correct the adjusted noise alarm level U*Hi. The corrected noise alarm level is U*Hi*J3.

[0130] When T4≤K-K0, the fourth preset noise alarm level correction coefficient J4 is selected to correct the adjusted noise alarm level U*Hi. The corrected noise alarm level is U*Hi*J4.

[0131] Understandably, by acquiring the number of vibration fluctuations (K) over a period of time from the vibration fluctuation information, we can more accurately obtain the vibration fluctuation situation of an object, and then determine whether the number of vibration fluctuations (K) over a period of time is within the standard vibration fluctuation range. This can improve the accuracy of noise detection, reduce the false positive rate, and thus improve the noise detection effect.

[0132] In summary, this invention provides a noise monitoring system and method for nighttime construction. The monitoring module can acquire comprehensive noise information in real time during construction. The processing module, based on this comprehensive noise information, controls an alarm module equipped with 4G and 5G communication units to send alarm information to regulatory departments and relevant personnel via the network. This helps regulatory departments and relevant personnel receive alarm information promptly, understand the noise pollution situation, and take appropriate measures to protect the environment and residents' health, while avoiding false alarms and unnecessary interference. Ultimately, this improves the management efficiency of construction sites, reduces the impact of noise pollution on surrounding residents and the environment, and ensures construction progress and worker safety.

[0133] Specifically, this invention provides a noise monitoring system and method for nighttime construction. It compares real-time sound levels during construction with standard noise values ​​to determine whether the sound is noise, avoiding misjudgments and omissions that could cause unnecessary interference to regulatory departments and relevant personnel. Furthermore, by adjusting the noise alarm level based on the sound difference when noise is detected, it more accurately reflects the intensity and impact of noise, helping construction teams to take timely countermeasures. Effective noise monitoring and alarm systems at construction sites help improve site safety and stability, and reduce the impact of noise on the surrounding environment and personnel.

[0134] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0135] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0136] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0137] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0138] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A noise monitoring system for nighttime construction, characterized in that, include: The monitoring module is used to acquire comprehensive noise information during construction. The alarm module is equipped with 4G and 5G communication units, and the alarm module is used to send alarm information; The processing module is used to control the alarm module to send alarm information based on the comprehensive noise information; The monitoring module includes: The sound monitoring unit is used for real-time monitoring of sound information; Seismic wave monitoring unit, used for real-time monitoring of seismic wave information; The processing module includes: The processing unit is used to adjust the alarm information level based on the sound information monitored by the monitoring module and the vibration fluctuation information monitored in real time; The control unit is used to control the alarm module to send alarm information according to the alarm information level; The processing unit is also used to acquire the sound value P in the real-time monitored sound information, and the processing unit is set with a preset standard noise value P0. The processing unit is also used to determine whether the real-time monitored sound value P is noise based on the relationship between the sound value P and the preset standard noise value P0; When P < P0, the processing unit determines that the real-time monitored sound value P is not noise and does not control the alarm module to send alarm information. When P≥P0, the processing unit determines that the real-time monitored sound value P is noise, and adjusts the alarm information level according to the sound difference between the sound value P and the preset standard noise value P0. When the processing unit selects the i-th preset alarm information level adjustment coefficient Hi to adjust the level of the alarm information, and obtains the adjusted alarm information level as U*Hi, i=1,2,3,4, it includes: The processing unit is also used to obtain the number of vibration fluctuations K within a certain period of time in the vibration fluctuation information. The processing unit is also set with a preset standard number of vibration fluctuations K0. The processing unit is also used to determine whether the number of vibration fluctuations K within a certain period of time is within the standard vibration fluctuation range based on the relationship between the number of vibration fluctuations K within a certain period of time and the preset standard number of vibration fluctuations K0. When K≤K0, the processing unit determines that the number of vibration fluctuations K within a certain period of time is within the standard range of vibration fluctuations. When K > K0, the processing unit determines that the number of vibration fluctuations K within a certain period of time is not within the standard vibration fluctuation range, and adjusts the alarm information level U*Hi based on the difference between the number of vibration fluctuations K within a certain period of time and the preset standard vibration fluctuation number K0. When the processing unit determines that the real-time monitored sound value P is noise, and adjusts the alarm information level according to the sound difference between the sound value and the preset standard noise value P0, it includes: The processing unit is also used for the alarm information level U of the alarm module; The processing unit also includes a preset sound difference matrix Y, where Y(Y1, Y2, Y3, Y4) is defined, wherein Y1 is the first preset sound difference, Y2 is the second preset sound difference, Y3 is the third preset sound difference, and Y4 is the fourth preset sound difference, and Y1 < Y2 < Y3 < Y4. The processing unit also includes a preset alarm information level adjustment coefficient matrix H, where H(H1, H2, H3, H4) is defined, wherein H1 is the first preset alarm information level adjustment coefficient, H2 is the second preset alarm information level adjustment coefficient, H3 is the third preset alarm information level adjustment coefficient, and H4 is the fourth preset alarm information level adjustment coefficient, and 0 < H1 < H1 < H1 <H1<1; The processing unit is further configured to adjust the level of the alarm information by selecting a corresponding preset alarm information level adjustment coefficient based on the relationship between the sound difference between the sound value P and the preset standard noise value P0 and each preset sound difference; When P-P0 < Y1, it is selected that the alarm information level will not be adjusted; When Y1≤P-P0<Y2, the first preset alarm information level adjustment coefficient H1 is selected to adjust the level of the alarm information, and the adjusted alarm information level is U*H1. When Y2≤P-P0<Y3, the second preset alarm information level adjustment coefficient H2 is selected to adjust the level of the alarm information, and the adjusted alarm information level is U*H2; When Y3≤P-P0<Y4, the third preset alarm information level adjustment coefficient H3 is selected to adjust the level of the alarm information, and the adjusted alarm information level is U*H3. When Y4≤P-P0, the fourth preset alarm information level adjustment coefficient H4 is selected to adjust the level of the alarm information, and the adjusted alarm information level is U*H4; When the processing unit determines that the number of vibration fluctuations K within a certain period of time is not within the standard vibration fluctuation range, it corrects the adjusted alarm information level U*Hi based on the difference between the number of vibration fluctuations K within a certain period of time and the preset standard vibration fluctuation number K0, including: The processing unit also includes a preset frequency difference matrix T, where T(T1, T2, T3, T4) is defined, where T1 is the first preset frequency difference, T2 is the second preset frequency difference, T3 is the third preset frequency difference, and T4 is the fourth preset frequency difference, and T1 < T2 < T3 < T4. The processing unit also includes a preset alarm information level correction coefficient matrix J, where J(J1, J2, J3, J4) is defined, where J1 is the first preset alarm information level correction coefficient, J2 is the second preset alarm information level correction coefficient, J3 is the third preset alarm information level correction coefficient, and J4 is the fourth preset alarm information level correction coefficient, and 0 < J1 < J2 < J3 < J4 < 0.

5. The processing unit is further configured to select a corresponding alarm information level correction coefficient to correct the adjusted alarm information level U*Hi based on the difference between the number of vibration fluctuations K and the preset standard number of vibration fluctuations K0 over a period of time and each preset number difference; When K-K0 < T1, the adjusted alarm information level U*Hi will not be corrected. When T1≤K-K0<T2, the first preset alarm information level correction coefficient J1 is selected to correct the adjusted alarm information level U*Hi, and the corrected alarm information level is U*Hi*J1. When T2≤K-K0<T3, the second preset alarm information level correction coefficient J2 is selected to correct the adjusted alarm information level U*Hi, and the corrected alarm information level is U*Hi*J2. When T3≤K-K0<T4, the third preset alarm information level correction coefficient J3 is selected to correct the adjusted alarm information level U*Hi, and the corrected alarm information level is U*Hi*J3. When T4≤K-K0, the fourth preset alarm information level correction coefficient J4 is selected to correct the adjusted alarm information level U*Hi, and the corrected alarm information level is U*Hi*J4.

2. A noise monitoring method for nighttime construction, applicable to the noise monitoring system for nighttime construction as described in claim 1, characterized in that, include: Acquire real-time sound and vibration data during construction; And acquire the sound value P from the sound information during the real-time monitoring construction period; Based on the relationship between the obtained sound value P and the standard value P0, determine whether the sound value P is noise; When P < P0, the sound value P is determined not to be noise; When P≥P0, the sound value P is determined to be noise, and the noise alarm level is adjusted according to the sound difference between the sound value P and the preset standard noise value P0.

3. The noise monitoring method for nighttime construction as described in claim 2, characterized in that, When P ≥ P0, the sound value P is determined to be noise, and the noise alarm level is adjusted according to the sound difference between the sound value P and the preset standard noise value P0, including: The first preset sound difference Y1, the second preset sound difference Y2, the third preset sound difference Y3 and the fourth preset sound difference Y4 are preset, and Y1 < Y2 < Y3 < Y4. The first preset noise alarm level adjustment coefficient H1, the second preset noise alarm level adjustment coefficient H2, the third preset noise alarm level adjustment coefficient H3 and the fourth preset noise alarm level adjustment coefficient H4 are also preset, and 0 < H1 < H1 < H1 < H1 < 1. Based on the relationship between the sound difference between the sound value P and the preset standard noise value P0 and each preset sound difference, a corresponding preset noise alarm level adjustment coefficient is selected to adjust the noise alarm level; When P-P0 < Y1, it is selected that the noise alarm level will not be adjusted; When Y1≤P-P0<Y2, the first preset noise alarm level adjustment coefficient H1 is selected to adjust the noise alarm level, and the adjusted noise alarm level is U*H1. When Y2≤P-P0<Y3, the second preset noise alarm level adjustment coefficient H2 is selected to adjust the noise alarm level, and the adjusted noise alarm level is U*H2; When Y3≤P-P0<Y4, the third preset noise alarm level adjustment coefficient H3 is selected to adjust the noise alarm level, and the adjusted noise alarm level is U*H3. When Y4≤P-P0, the fourth preset noise alarm level adjustment coefficient H4 is selected to adjust the noise alarm level, and the adjusted noise alarm level is U*H4.

4. The noise monitoring method for nighttime construction as described in claim 3, characterized in that, When adjusting the noise alarm level by selecting the i-th preset noise alarm level adjustment coefficient Hi, and obtaining the adjusted noise alarm level as U*Hi, i=1,2,3,4, including: Obtain the number of vibration fluctuations K over a period of time from the vibration fluctuation information; Based on the relationship between the number of vibration fluctuations K over a period of time and the preset standard number of vibration fluctuations K0, it is determined whether the number of vibration fluctuations K over a period of time is within the standard vibration fluctuation range. When K≤K0, it is determined that the number of vibration fluctuations K within a certain period of time is within the standard range of vibration fluctuations. When K > K0, it is determined that the number of vibration fluctuations K within a certain period of time is not within the standard vibration fluctuation range, and the alarm information level U*Hi is corrected and adjusted based on the difference between the number of vibration fluctuations K within a certain period of time and the preset standard vibration fluctuation number K0; where, A first preset number of times difference T1, a second preset number of times difference T2, a third preset number of times difference T3, and a fourth preset number of times difference T4 are preset, and T1 < T2 < T3 < T4; a first preset noise alarm level correction coefficient J1, a second preset noise alarm level correction coefficient J2, a third preset noise alarm level correction coefficient J3, and a fourth preset noise alarm level correction coefficient J4 are preset, and 0 < J1 < J2 < J3 < J4 < 0.5; Based on the difference between the number of vibration fluctuations K and the preset standard number of vibration fluctuations K0 over a period of time, and the difference between each preset number, a corresponding preset noise alarm level correction coefficient is selected to correct the adjusted noise alarm level U*Hi. When K-K0 < T1, the adjusted noise alarm level U*Hi will not be corrected. When T1≤K-K0<T2, the first preset noise alarm level correction coefficient J1 is selected to correct the adjusted noise alarm level U*Hi, and the corrected noise alarm level is U*Hi*J1. When T2≤K-K0<T3, the second preset noise alarm level correction coefficient J2 is selected to correct the adjusted noise alarm level U*Hi, and the corrected noise alarm level is U*Hi*J2. When T3≤K-K0<T4, the third preset noise alarm level correction coefficient J3 is selected to correct the adjusted noise alarm level U*Hi. The corrected noise alarm level is U*Hi*J3. When T4≤K-K0, the fourth preset noise alarm level correction coefficient J4 is selected to correct the adjusted noise alarm level U*Hi, and the corrected noise alarm level is U*Hi*J4.

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