Factory building micro-vibration prevention intelligent monitoring and control method and system

Abstract

The invention relates to the technical field of plant safety, and discloses a plant micro-vibration prevention intelligent monitoring and control method and system, and the method comprises the steps: S1, collecting the dynamic information of a plant in real time; s2, according to the collected dynamic information of the factory building, obtaining an amplitude characteristic value of the factory building; s3, establishing an amplitude prediction model according to the amplitude characteristic value; s4, predicting the vibration of the factory building through the amplitude prediction model to obtain an amplitude prediction value; s5, according to the amplitude predicted value and a standard vibration threshold value, determining the acceleration level of the factory building amplitude; s6, according to the dynamic information peak value of the factory building, determining the displacement grade of the factory building amplitude; s7, determining the state of the factory building according to the acceleration level and the displacement level; s8, determining to adopt an active control strategy or a passive control strategy according to the plant state; and S9, controlling the amplitude of the plant by adopting an active control strategy or a passive control strategy. The vibration level of the factory building can be effectively controlled.

Description

Technical Field

[0001] The present invention relates to the field of factory building safety technology, and in particular to a method and system for intelligent monitoring and control of factory building micro-vibration prevention. Background Art

[0002] With accelerating urbanization and increasing environmental protection requirements, the rise of high-rise steel structures has provided new solutions to the diversification of industrial space requirements. In high-rise steel structures, the adoption of advanced manufacturing processes and technologies allows for the centralized placement of numerous production facilities and equipment within a single building, achieving efficient space utilization and energy conservation. However, this relatively centralized design also introduces potential vibration risks. In particular, during processing, manufacturing, or assembly, rapid startup and shutdown of equipment, as well as high-speed workpiece transfer, can lead to microvibration. High-frequency microvibration not only affects employee comfort but can also cause irreversible cumulative damage to precision equipment, thereby impacting production quality. To address these challenges, various measures have been implemented. For example, during the factory design phase, layout and structural design are optimized to reduce vibration transmission. To control microvibration during operation, appropriate vibration control strategies are implemented, and high-performance materials and technologies are used in the construction and reinforcement of critical equipment. These efforts aim to ensure the sustainable and stable development of high-rise steel structures. By addressing microvibration issues, production efficiency and safety are improved, laying a solid foundation for the future development of the manufacturing industry.

[0003] Traditional methods typically rely on manpower for regular inspections and maintenance. The limitations of this approach are reflected in the following aspects. First, due to manpower constraints, it is difficult to monitor equipment and facilities around the clock, which may lead to the failure to detect micro-vibration problems in a timely manner. Second, vibration damage is usually a slow process, and without strong data support, manual inspections may not accurately understand the long-term impact of micro-vibration on production equipment and facilities. Moreover, relying on manual experience, the control of micro-vibration problems often lacks clear goals and quantitative indicators, and therefore may lack specificity and have limited effectiveness. In addition, traditional maintenance methods are often slow to respond, and by the time micro-vibration problems are discovered, serious equipment damage or production interruptions may have already occurred, leading to economic losses. Summary of the Invention

[0004] The present invention is made to solve the above-mentioned technical problems. Its purpose is to provide an intelligent monitoring and control method and system for preventing micro-vibrations in factory buildings. By installing intelligent sensors at key locations in the factory building, vibration data can be monitored in real time to avoid the problem of untimely detection of micro-vibrations.

[0005] In order to achieve the above object, the present invention provides a method for intelligent monitoring and control of micro-vibration of a factory building, comprising: S1: real-time collection of dynamic information of the factory building;

[0006] S2: Obtain the amplitude characteristic value of the plant based on the collected dynamic information of the plant;

[0007] S3: establishing an amplitude prediction model according to the amplitude characteristic value;

[0008] S4: Predicting the vibration of the factory building using the amplitude prediction model to obtain an amplitude prediction value;

[0009] S5: Determine the acceleration level of the plant vibration amplitude based on the amplitude prediction value and the standard vibration threshold;

[0010] S6: Determine the displacement level of the plant vibration amplitude according to the peak value of the dynamic information of the plant;

[0011] S7: Determine the state of the plant building according to the acceleration level and the displacement level;

[0012] S8: Determine whether to adopt an active control strategy or a passive control strategy according to the state of the plant;

[0013] S9: Control the amplitude of the plant by adopting active control strategies or passive control strategies.

[0014] Preferably, in step S1, the real-time acquisition of dynamic information of the plant includes the following steps:

[0015] By installing acceleration sensors and displacement sensors on the factory building, dynamic information of the factory building can be collected in real time;

[0016] The acceleration sensor is used to monitor and record the acceleration signal of the factory building in real time;

[0017] The displacement sensor is used to monitor and record the relative displacement signal of the factory building in real time;

[0018] The collected dynamic information of the factory is transmitted to the monitoring system.

[0019] Preferably, in step S2, obtaining the amplitude characteristic value of the plant building according to the collected dynamic information of the plant building includes:

[0020] The acceleration value A is calculated based on the acceleration signal and relative displacement signal collected by the acceleration sensor and the displacement sensor:

[0021] A=a (1)

[0022] Where a is acceleration, the unit is m / s 2 ;

[0023] Relative displacement value D:

[0024] D=V×f×t (2)

[0025] Where V is the relative displacement in m; f is the vibration frequency; t is the time in seconds;

[0026] Calculate the amplitude value X:

[0027] X=A0+A1i+A2j+A3k (3)

[0028] Where X is the amplitude value, the unit is m / s 2 A0-A3 are acceleration values ​​calculated according to formula (1); i, j, k are unit vectors of the three-dimensional Cartesian coordinate system, pointing to the x, y, and z axes respectively.

[0029] Preferably, in step S4, the calculation formula of the amplitude prediction value is:

[0030]

[0031] Where X′(p) represents the predicted amplitude value at the time point or parameter p, is the historical data sequence of vibration acceleration, X n (t) is the vibration acceleration data at the t-th time point, and n is the number of historical data.

[0032] Preferably, in step S5, determining the acceleration level of the plant vibration amplitude according to the amplitude prediction value and the standard vibration threshold value includes:

[0033] Three thresholds are set according to the three levels of the acceleration signal, wherein the acceleration signal includes three levels: level I vibration standard limit, level II vibration standard limit, and level III vibration standard limit;

[0034] The first threshold a″0:

[0035] a″0=a0+μ (5)

[0036] Among them, a0 is the vibration standard value of level I, μ is the model parameter;

[0037] The second threshold a″1:

[0038] a″1=a1+μ (6)

[0039] Where a1 is the vibration standard value of level II, μ is the model parameter;

[0040] The third threshold a″2:

[0041] a″2=a2+μ (7)

[0042] Where a2 is the vibration standard value of level III, and μ is the model parameter;

[0043] If |X′(p)|≤a″0, the acceleration level of the plant amplitude is level I, and the equipment is operating normally;

[0044] If a″0<|X′(p)|≤a″1, the acceleration level of the plant amplitude is II, and the equipment operation is in a critical state;

[0045] If a″1<|X′(p)|≤a″2 or |X′(p)|≥a″2, the acceleration level of the plant amplitude is level III, and the equipment operation is in a dangerous state.

[0046] Preferably, in step S6, determining the displacement level of the plant vibration amplitude according to the dynamic information peak value of the plant and the amplitude prediction value includes:

[0047] The relative displacement values ​​D0-D3 are calculated according to formula (2), and the displacement signal classification includes: (1) when D max When it is less than or equal to the safety threshold D1, the displacement level of the plant amplitude is level I, the equipment is operating normally, and the equipment is operating safely and reliably;

[0048] (2) When D max When the amplitude is greater than the safety threshold D1 but less than or equal to another preset critical threshold D2, the displacement level of the plant amplitude is level II, the equipment operation is in a critical state, and a partial active control strategy needs to be adopted;

[0049] (3) When D max When the displacement level of the plant amplitude is greater than the critical threshold D2, the displacement level of the plant amplitude is level III, the equipment operation is in a dangerous state, and a comprehensive active control strategy is adopted to avoid damage to the equipment or plant; wherein,

[0050] The D max The peak value of the displacement signal monitored and recorded in real time by the displacement sensor;

[0051] The safety threshold D1 is the maximum allowable displacement of the equipment under normal operating conditions;

[0052] The critical threshold D2 is when the equipment is in a critical state;

[0053] The critical threshold D2 is greater than the safety threshold D1. Preferably, in step S8, determining whether to adopt an active control strategy or a passive control strategy according to the state of the plant includes:

[0054] When the acceleration level and the displacement level are level 1, the device is operating in a normal state and no control strategy is adopted;

[0055] When the acceleration level is level I or II, and the displacement level is level I or II, the active control strategy or the passive control strategy is adopted;

[0056] When the acceleration level is level III, the active control strategy and the passive control strategy are adopted.

[0057] Preferably, the active control strategy is: using the dynamic information of the plant collected in real time by an acceleration sensor and a displacement sensor, and using the dynamic information of the plant as the input feedback signal Xn(p);

[0058] Set the safety amplitude threshold X based on the material parameters of the plant structure c ;

[0059] According to the input feedback signal Xn(p) and the real-time amplitude value a obtained by formula (3), the reverse control force u(pan) is generated by the control function formula (8); wherein,

[0060] u(pan)=f(Xn(p),a) (8)

[0061] By applying the reverse control force u(pan), the input feedback signal Xn(p) converges to the safety threshold X c Same, even if Xn(p)=X c , through vibration control, suppress the growth of amplitude.

[0062] Preferably, the passive control strategy is: monitoring the vibration signal of the plant in real time through an acceleration sensor to obtain an acceleration signal Xn(p);

[0063] Set the safety amplitude threshold X based on the material parameters of the plant structure c ;

[0064] The real-time amplitude value a is obtained by formula (3);

[0065] Determine the acceleration level of the plant vibration amplitude based on the amplitude value a and the standard vibration threshold, and determine the displacement level of the plant vibration amplitude based on the peak value of the dynamic information of the plant;

[0066] The damping coefficient c of the damper is dynamically adjusted according to the acceleration and the displacement level, and the damping force is generated according to formula (9); wherein,

[0067] u(pan)=g(Xn(p),a,c) (9)

[0068] When the acceleration level is level I, the damping coefficient of the damper is 0;

[0069] When the acceleration level is level I or II, and the displacement signal is level I or II, the damping coefficient of the damper is 0.05 to 0.3; wherein,

[0070] When the damping coefficient increases, the acceleration signal is the dominant control, and when the damping coefficient decreases, the relative displacement is the dominant control;

[0071] When the acceleration signal is level III, the damper adopts a damping coefficient of 0.3 to 0.7, shuts down the production line, and makes the acceleration signal Xn(p)=X c = 0, reducing the amplitude and relative displacement of the structure;

[0072]

[0073] Where c is the damping coefficient, a0 and a1 are the vibration standard values ​​of level I and II respectively.

[0074] Preferably, a plant anti-micro-vibration intelligent monitoring and control system includes:

[0075] The information collection unit is used to collect the dynamic information of the factory building in real time; the amplitude characteristic value of the factory building is obtained through the collected dynamic information of the factory building;

[0076] an information prediction unit, configured to establish an amplitude prediction model according to the amplitude characteristic value, and predict the vibration of the plant by using the amplitude prediction model to obtain an amplitude prediction value;

[0077] A safety judgment unit, configured to determine an acceleration level of the vibration amplitude of the plant building according to the amplitude prediction value and a standard vibration threshold;

[0078] Determine the displacement level of the plant building amplitude based on the dynamic information peak value of the plant building and the amplitude prediction value; determine the state of the plant building based on the acceleration level and the displacement level;

[0079] The amplitude control unit determines whether to adopt an active control strategy or a passive control strategy according to the state of the plant.

[0080] According to the above description and practice, the method and system for intelligent monitoring and control of factory buildings against micro-vibration according to the present invention have the following advantages compared with the prior art:

[0081] 1. The monitoring system can detect and warn potential micro-vibration risks early, monitor and analyze vibration data in real time, provide vibration level grades and trend analysis, and provide decision support for decision makers.

[0082] 2. Combine active and passive control strategies to effectively control vibration levels.

[0083] 3. Use displays and automatic alarm systems to promptly notify management personnel of abnormal vibration conditions to ensure production safety and efficient equipment operation.

[0084] 4. It can meet the monitoring and control needs of multiple high-tech industrial steel structure multi-story factories and improve the maintainability and stability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0085] Figure 1 The present invention is a flowchart of an intelligent monitoring and control method for preventing micro-vibrations in a factory building according to an embodiment of the present invention. DETAILED DESCRIPTION

[0086] The exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concepts of the exemplary embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0087] In addition, the accompanying drawings are only schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. It should be noted that in the present disclosure, the terms "including", "configured with", and "set on" are used to express open-ended inclusion and mean that in addition to the listed elements / components / etc., there may be additional elements / components / etc.; the terms "first", "second", etc. are used only as labels and are not intended to limit the number or order of their objects; the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate directions or positional relationships based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operate in a specific direction, and therefore should not be understood as limiting the present invention.

[0088] Unless otherwise specified or limited, the terms "mounted," "connected," and "connected" should be interpreted broadly. For example, they can refer to fixed, removable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediary; and internal communication between two components. Those skilled in the art will understand the specific meanings of these terms in the present invention based on the specific circumstances.

[0089] Please refer to Figure 1 The intelligent monitoring and control method for preventing micro-vibration of a factory building in the present invention comprises: S1: collecting dynamic information of the factory building in real time;

[0090] S2: Obtain the amplitude characteristic value of the plant based on the collected dynamic information of the plant;

[0091] S3: establishing an amplitude prediction model according to the amplitude characteristic value;

[0092] S4: Predicting the vibration of the factory building using the amplitude prediction model to obtain an amplitude prediction value;

[0093] S5: Determine the acceleration level of the plant vibration amplitude based on the amplitude prediction value and the standard vibration threshold;

[0094] S6: Determine the displacement level of the plant vibration amplitude according to the peak value of the dynamic information of the plant;

[0095] S7: Determine the state of the plant building according to the acceleration level and the displacement level;

[0096] S8: Determine whether to adopt an active control strategy or a passive control strategy according to the state of the plant;

[0097] S9: Control the amplitude of the plant by adopting active control strategies or passive control strategies.

[0098] Accelerometers and displacement sensors are installed at key locations within multi-story steel-structured factories to enable real-time monitoring of microvibrations. Accelerometers monitor and record the factory's acceleration signals in real time, while displacement sensors monitor and record the building's relative displacement signals. The collected dynamic information is transmitted to a monitoring system. Appropriate accelerometers and displacement sensors are selected based on the structural characteristics of the steel structure and the characteristics of microvibrations. By monitoring the factory's vibration acceleration, the sensors can reflect microvibrations. The selection of installation locations primarily considers two key areas: first, key locations, such as the fixed positions of power cranes, elevators, and air conditioners. The operation of these devices is a major source of microvibration; second, weak structural areas, such as joints, connectors, bolts, and welds, require special attention due to potential problems such as fatigue and corrosion. Within the factory building, key beams (trusses) and lower flanges (lower chords) also require additional attention.

[0099] In addition, the nodes of the various acceleration sensors and displacement sensors are connected via wireless communication technology. Through self-organization or relay modes, a wireless sensor network is formed. Each node has wireless communication capabilities and can exchange information with adjacent nodes. Nodes can be connected using a variety of wireless communication methods, such as Wi-Fi, ZigBee, and LoRa. These methods each have their own advantages and limitations, and should be selected based on specific circumstances. Furthermore, a stable and reliable communication link must be maintained between nodes. Sensor nodes may be distributed in diverse physical environments, so environmental complexity and interference must be considered. Communication quality can be improved by optimizing communication protocols, antenna design, and routing algorithms. In this embodiment, a reliable routing algorithm must be established between nodes to facilitate data transmission, including optimal path selection and forwarding rules for data from source nodes to destination nodes. Each sensor node must also possess the functionality of a wireless communication protocol stack, including physical layer, MAC layer, and network layer protocols. Furthermore, data processing, storage, and transmission capabilities are required.

[0100] In addition, a monitoring system for microvibration monitoring was developed using data analysis software and machine learning algorithms. Both time-domain and frequency-domain analysis methods were used to process the data. For time-domain analysis, time series analysis techniques, such as autoregressive models and filtering, were used to establish a vibration state assessment model. For frequency-domain analysis, Fourier transforms and wavelet transforms were used to extract the frequency-domain characteristics of the vibration signal and establish a feature recognition model. A microvibration prediction model was also established using machine learning algorithms. These algorithms can be used to discover inherent patterns and trends in microvibration data and predict changing vibration levels. Training and testing using algorithms such as support vector machines, neural networks, and decision trees verified the model's accuracy and reliability.

[0101] Furthermore, in step S2, obtaining the amplitude characteristic value of the plant building based on the collected dynamic information of the plant building includes: calculating the acceleration value A based on the acceleration signal and the relative displacement signal collected by the acceleration sensor and the displacement sensor:

[0102] A=a (1)

[0103] Where a is acceleration, the unit is m / s 2 ;

[0104] Relative displacement value D:

[0105] D=V×f×t (2)

[0106] Where V is the relative displacement, in m; f is the vibration frequency; t is the time, in seconds; A0-A3 are the acceleration values, calculated according to formula (1); D0-D3 are the relative displacement values, calculated according to formula (2);

[0107] Calculate the amplitude value X:

[0108] X=A0+A1i+A2j+A3k (3)

[0109] Where X is the amplitude value, the unit is m / s 2 .

[0110] Furthermore, in step S4, the vibration of the factory building is predicted by the amplitude prediction model, and obtaining the amplitude prediction value includes the following steps: first, performing a stationarity test on the historical data of the amplitude value; then, determining the parameters (p, d, q) of the ARIMA model or the parameters (p, d, q, P, D, Q, s) of the SARIMA model, wherein p is the number of autoregressive terms, d is the difference order, q is the number of moving average terms, P is the number of seasonal autoregressive terms, D is the seasonal difference order, Q is the number of seasonal moving average terms, and s is the seasonal cycle; then, using maximum likelihood estimation or least squares method to estimate model parameters; finally, establishing an amplitude prediction model based on the parameters, and performing model diagnosis, such as residual test, to ensure the applicability of the model.

[0111] Furthermore, the amplitude classification according to the amplitude value includes: acceleration signal classification and displacement signal classification; wherein, in step S5, the acceleration level of the plant amplitude is determined according to the amplitude prediction value and the standard vibration threshold value, including: comparing the amplitude prediction value with the standard threshold value, and dividing the acceleration signal into three levels. According to the national standard, the limit value of the vibration standard of level I is a0=10 -2 m / s 2 , II level vibration standard limit a1=10 -1 m / s 2 , Grade III vibration standard limit a2 = 0.5m / s 2 , corresponding to three levels of acceleration signal;

[0112] The calculation formula of the amplitude prediction value is:

[0113]

[0114] Where X′(p) represents the predicted amplitude value at the time point or parameter p, is the historical data sequence of vibration acceleration, X n(t) is the vibration acceleration data at time point t, and n is the number of historical data points. Here, f(·) is a prediction function that calculates the predicted value based on the historical data and parameter p. This function can be an ARIMA model in time series analysis, a neural network in machine learning, or another suitable prediction model.

[0115] The formula more clearly expresses the calculation process of the amplitude prediction value, that is, the prediction value is calculated by the prediction function f based on historical data and current parameter p

[0116] Set three thresholds:

[0117] The first threshold a″0:

[0118] a″0=a0+μ (5)

[0119] Where a0 is the standard value for vibration level I, and μ is a model parameter used to adjust the threshold to suit the actual monitoring situation. In practical applications, the value of μ needs to be determined through data analysis and model training.

[0120] The second threshold a″1:

[0121] a″1=a1+μ (6)

[0122] Where a1 is the standard value for vibration level II, and μ is a model parameter used to adjust the threshold to suit the actual monitoring situation. In practical applications, the value of μ needs to be determined through data analysis and model training.

[0123] The third threshold a″2:

[0124] a″2=a2+μ (7)

[0125] Where a2 is the standard value for vibration level III, and μ is a model parameter used to adjust the threshold to suit the actual monitoring situation. In practical applications, the value of μ needs to be determined through data analysis and model training. If |X′(p)|≤a″0, the vibration level is Level I, and the equipment is operating normally. If a″0<|X′(p)|≤a″1, the vibration level is Level II, and the equipment is operating critically. If a″1<|X′(p)|≤a″2 or |X′(p)|≥a″2, the vibration level is Level III, and the equipment is operating dangerously.

[0126] Furthermore, in step S6, the step of determining the displacement level of the plant amplitude according to the dynamic information peak value of the plant and the amplitude prediction value includes: determining the displacement level of the plant amplitude according to the amplitude prediction value and the maximum displacement value D of the relative displacement signal. max , divide the size level of the displacement signal, specifically: First, when the maximum displacement D maxWhen the vibration level is less than or equal to a preset safety threshold D1, the vibration level is level I, the equipment is operating normally, and the equipment is operating safely and reliably; secondly, when the maximum displacement D max When the vibration level is greater than the safety threshold D1 but less than or equal to another preset critical threshold D2, the vibration level is level II, the equipment is in a critical state, and the performance coefficient of the damper or vibration isolator needs to be increased, and a partial active control strategy needs to be adopted; thirdly, when the maximum displacement D max When the vibration level is greater than the critical threshold D2, the vibration level is level III, the equipment is in a dangerous state, and the production line needs to be urgently closed and a comprehensive active control strategy needs to be adopted to avoid damage to the equipment or factory building. max It is the peak value in the displacement signal monitored and recorded in real time by the displacement sensor; the safety threshold D1 is the maximum allowable displacement of the equipment under normal operating conditions; the critical threshold D2 is when the equipment is in a critical state; the critical threshold D2 is greater than the safety threshold D1. Specifically, the safety threshold D1 is a preset displacement value, which represents the maximum allowable displacement of the equipment under normal operating conditions. When the actual measured maximum displacement is less than or equal to D1, it means that the vibration of the equipment is within a safe range and will not cause damage to the equipment or plant structure. The critical threshold D2 is a displacement value greater than D1, indicating that the equipment is in a critical state. When it exceeds D1 but does not exceed D2, it means that the vibration of the equipment is close to the safety limit, and some measures need to be taken to control the vibration, such as increasing the performance coefficient of the damper or isolator to prevent the vibration from further aggravating. When D max When D2 is exceeded, the vibration of the equipment is already in a dangerous state and may cause damage to the equipment or plant structure. In this case, emergency measures must be taken immediately, such as closing the production line and implementing a comprehensive active control strategy to ensure the safety of the equipment and plant.

[0127] In step S8, the determination of whether to adopt an active control strategy or a passive control strategy based on the factory state includes: if the acceleration signal and the displacement signal are level I, the equipment operation is in a normal state and no control strategy is required; if the acceleration signal is level I or II, and the displacement signal is level I or II, it is necessary to adopt a strategy of adjusting the production line parameters and optimizing the equipment operation to control the amplitude; if the acceleration signal is level III, it is necessary to adopt a strategy of adjusting the production line parameters, optimizing the equipment operation, and installing dampers and vibration isolators to control the amplitude.

[0128] Furthermore, in step S8, the active control strategy or the passive control strategy is determined based on the factory building status, including: when the acceleration level and the displacement level are level I, the equipment operation is in a normal state and no control strategy is adopted; when the acceleration level is level I or II, and the displacement level is level I or II, the active control strategy or the passive control strategy is adopted; when the acceleration level is level III, the active control strategy and the passive control strategy are adopted.

[0129] Furthermore, the active control strategy is as follows: the dynamic information of the plant is collected in real time by the acceleration sensor and displacement sensor, and the dynamic information of the plant is used as the input feedback signal Xn(p); the safety amplitude threshold Xn is set based on the material parameters of the plant structure. c According to the input feedback signal Xn(p) and the real-time amplitude value a obtained by formula (3), the reverse control force u(pan) is generated by the control function formula (8); wherein,

[0130] u(pan)=f(Xn(p),a) (8)

[0131] By applying the reverse control force u(pan), the input feedback signal Xn(p) converges to the safety threshold X c Same, even if Xn(p)=X c , through vibration control, suppress the growth of amplitude.

[0132] Furthermore, the passive control strategy is: monitoring the vibration signal of the plant in real time through the acceleration sensor to obtain the acceleration signal Xn(p); setting the safety amplitude threshold Xn(p) based on the material parameters of the plant structure. c ; The real-time amplitude value a is obtained by formula (3); the acceleration level of the plant amplitude is determined according to the amplitude value a and the standard vibration threshold, and the displacement level of the plant amplitude is determined according to the dynamic information peak of the plant; the damping coefficient c of the damper is dynamically adjusted according to the acceleration and displacement levels, and the damping force is generated according to formula (9); wherein,

[0133] u(pan)=g(Xn(p),a,c) (9)

[0134] When the acceleration level is level I, the damping coefficient of the damper is 0; when the acceleration level is level I or II, and the displacement signal is level I or II, the damping coefficient of the damper is 0.05 to 0.3; wherein, when the damping coefficient increases, the acceleration signal is the dominant control, and when the damping coefficient decreases, the relative displacement is the dominant control; when the acceleration signal is level III, the damper adopts a damping coefficient of 0.3 to 0.7, shuts down the production line, and makes the acceleration signal Xn(p) = X c = 0, reducing the amplitude and relative displacement of the structure;

[0135]

[0136] Where c is the damping coefficient, a0 and a1 are the vibration standard values ​​of level I and II respectively.

[0137] Furthermore, active control strategies include adjusting production parameters, such as tower crane speed and elevator speed; reducing the operating load of the vibration source, reducing the vibration amplitude and frequency, for example, reducing the tower crane operating speed, reducing the lifting weight, and reducing the possibility of resonance; optimizing equipment operation to avoid vibration frequency domain overlap, and operating the equipment at a specific frequency to avoid resonance with the vibration source. Passive control strategies include installing dampers or isolators to absorb vibration energy and reduce the propagation speed of micro-vibrations transmitted to the structure, adjusting the building structure, enhancing the structural seismic performance, and increasing structural stiffness by adding supports and reinforcements at weak locations and connection locations, using vibration-absorbing materials, and reducing the micro-vibration response of the structure. For example, using damping materials to absorb vibration energy and reduce resonance response, and adding dampers at connection nodes to absorb amplitude energy.

[0138] Furthermore, in step S5, the establishment of an automated alarm system that automatically alarms and alerts relevant personnel when an abnormality occurs includes: first, setting a display and an automated alarm system in the factory building, wherein the display is used to intuitively display the current micro-vibration level to show vibration data and prediction results; then, determining the vibration warning threshold based on the factory building conditions, and setting the alarm conditions and alarm levels on the automated alarm system based on the detected vibration warning threshold. When the vibration abnormality occurs, the automated alarm system automatically alarms and alerts relevant personnel. Vibration status and trends are visualized through the display, and indicators of vibration data, such as amplitude and frequency distribution, are graphically represented. Providing a display and an automated alarm system can promptly notify management personnel of abnormal vibration conditions, achieve effective monitoring and control of micro-vibrations in high-tech industrial steel-structured multi-story factories, and ensure production safety and efficient equipment operation.

[0139] Corresponding to the above-mentioned intelligent monitoring and control method for preventing micro-vibration of factory buildings, the present invention also provides an intelligent monitoring and control system for preventing micro-vibration of factory buildings, including: an information acquisition unit, used to acquire dynamic information of the factory building in real time; obtaining the amplitude characteristic value of the factory building through the acquired dynamic information of the factory building; an information prediction unit, used to establish an amplitude prediction model according to the amplitude characteristic value, and predict the vibration of the factory building through the amplitude prediction model to obtain the amplitude prediction value; a safety judgment unit, used to determine the acceleration level of the factory building amplitude according to the amplitude prediction value and the standard vibration threshold; determine the displacement level of the factory building amplitude according to the dynamic information peak value of the factory building and the amplitude prediction value; determine the state of the factory building according to the acceleration level and the displacement level; an amplitude control unit, used to determine whether to adopt an active control strategy or a passive control strategy according to the state of the factory building.

[0140] Furthermore, the number of the acceleration sensors and displacement sensors is 2 to 5. The number of sensors installed should be determined according to the size of the factory and the monitoring requirements. Generally speaking, installing 2 to 5 sensors in each building or each factory can meet the monitoring requirements.

[0141] As for the embodiment of the intelligent monitoring and control system for preventing micro-vibrations in factory buildings provided by the present invention, since it is basically similar to the embodiment of the intelligent monitoring and control method for preventing micro-vibrations in factory buildings, the relevant parts are referred to the partial description of the method embodiment and will not be repeated here.

[0142] In summary, by installing acceleration and displacement sensors at key locations in a factory building to monitor vibration data in real time, and utilizing a monitoring system for data analysis and machine learning algorithms, potential micro-vibration risks can be detected and warned early. Based on the monitoring results, a combination of active and passive control strategies, including adjusting production line parameters, optimizing equipment operation, and installing dampers or isolators, can be employed to effectively control vibration levels. Furthermore, through data analysis and machine learning algorithms, vibration data can be monitored and analyzed in real time, providing vibration level levels and trend analysis to support decision-makers. An automated alarm system can be established to promptly notify management personnel of abnormal vibrations, effectively monitoring and controlling micro-vibration in high-tech, multi-story, steel-structured factories, ensuring production safety and efficient equipment operation. This invention provides vibration analysis and diagnosis, control parameter optimization, and automated alarming, thereby better addressing micro-vibration issues, protecting human health, and improving worker productivity. Furthermore, this invention can meet the monitoring and control needs of multiple high-tech, multi-story, steel-structured factories, enabling remote monitoring and analysis through a unified monitoring and control platform, improving system maintainability and stability.

[0143] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims, not the foregoing description, and all variations within the meaning and range of equivalents of the claims are intended to be included therein. Any reference sign in a claim should not be construed as limiting the claim to which it relates.

Claims

1. A method for intelligent monitoring and control of micro-vibration in a factory building, characterized in that: include: S1: Real-time collection of dynamic information of the factory; S2: Obtain the amplitude characteristic value of the plant based on the collected dynamic information of the plant; S3: establishing an amplitude prediction model according to the amplitude characteristic value; S4: Predicting the vibration of the factory building using the amplitude prediction model to obtain an amplitude prediction value; S5: Determine the acceleration level of the plant vibration amplitude based on the amplitude prediction value and the standard vibration threshold; S6: Determine the displacement level of the plant vibration amplitude according to the peak value of the dynamic information of the plant; S7: Determine the state of the plant building according to the acceleration level and the displacement level; S8: Determine whether to adopt an active control strategy or a passive control strategy according to the state of the plant; S9: Control the amplitude of the plant by adopting active control strategies or passive control strategies.

2. The method for intelligent monitoring and control of factory buildings against micro-vibration according to claim 1, characterized in that: In step S1, the real-time acquisition of dynamic information of the plant includes the following steps: By installing acceleration sensors and displacement sensors on the factory building, dynamic information of the factory building can be collected in real time; The acceleration sensor is used to monitor and record the acceleration signal of the factory building in real time; The displacement sensor is used to monitor and record the relative displacement signal of the factory building in real time; The collected dynamic information of the factory is transmitted to the monitoring system.

3. The method for intelligent monitoring and control of factory buildings against micro-vibration according to claim 2, characterized in that: In step S2, obtaining the amplitude characteristic value of the plant building according to the collected dynamic information of the plant building includes: The acceleration value A is calculated based on the acceleration signal and relative displacement signal collected by the acceleration sensor and the displacement sensor: A=a (1) Where a is acceleration, the unit is m / s 2 ; Relative displacement value D: D = V × f × t (2) where V is the relative displacement in meters, f is the vibration frequency, and t is the time in seconds. Calculate the amplitude value X: X=A0+A1i+A2j+A3k(3) Where X is the amplitude value, the unit is m / s 2 A0-A3 are acceleration values ​​calculated according to formula (1); i, j, k are unit vectors of the three-dimensional Cartesian coordinate system, pointing to the x, y, and z axes respectively.

4. The method for intelligent monitoring and control of factory buildings against micro-vibration according to claim 3, characterized in that: In step S4, the amplitude prediction value is calculated as follows: Where X′(p) represents the amplitude prediction value at the time point or parameter p, is the historical data sequence of vibration acceleration, X n (t) is the vibration acceleration data at the t-th time point, and n is the number of historical data.

5. The method for intelligent monitoring and control of factory buildings against micro-vibration according to claim 4, characterized in that: In step S5, determining the acceleration level of the plant vibration amplitude according to the amplitude prediction value and the standard vibration threshold value includes: Three thresholds are set according to the three levels of the acceleration signal, wherein the acceleration signal includes three levels: level I vibration standard limit, level II vibration standard limit, and level III vibration standard limit; The first threshold a″0: a″0=a0+μ(5) Among them, a0 is the vibration standard value of level I, μ is the model parameter; The second threshold a1″: a″1=a1+μ (6) Where a1 is the vibration standard value of level II, μ is the model parameter; The third threshold a″2: a″2=a2+μ (7) Where a2 is the vibration standard value of level III, and μ is the model parameter; If |X′(p)|≤a″0, the acceleration level of the plant amplitude is level I, and the equipment is operating normally; If a″0<|X′(p)|≤a″1, the acceleration level of the plant amplitude is II, and the equipment operation is in a critical state; If a1″<|X′(p)|≤a″2 or |X′(p)|≥a″2, the acceleration level of the plant amplitude is level III, and the equipment operation is in a dangerous state.

6. The method for intelligent monitoring and control of factory buildings against micro-vibration according to claim 5, characterized in that: In step S6, determining the displacement level of the plant vibration amplitude according to the peak value of the dynamic information of the plant includes: The relative displacement values ​​D0-D3 are calculated according to formula (2), and the displacement signal classification includes: (1) When D max When it is less than or equal to the safety threshold D1, the displacement level of the plant amplitude is level I, the equipment is operating normally, and the equipment is operating safely and reliably; (2) When D max When the amplitude is greater than the safety threshold D1 but less than or equal to another preset critical threshold D2, the displacement level of the plant amplitude is level II, the equipment operation is in a critical state, and a partial active control strategy needs to be adopted; (3) When D max When the displacement level of the plant amplitude is greater than the critical threshold D2, the displacement level of the plant amplitude is level III, the equipment operation is in a dangerous state, and a comprehensive active control strategy is adopted to avoid damage to the equipment or plant; wherein, The D max The peak value of the displacement signal monitored and recorded in real time by the displacement sensor; The safety threshold D1 is the maximum allowable displacement of the equipment under normal operating conditions; The critical threshold D2 is when the equipment is in a critical state; The critical threshold D2 is greater than the safety threshold D1.

7. The method for intelligent monitoring and control of factory buildings against micro-vibration according to claim 4, characterized in that: In step S8, determining whether to adopt an active control strategy or a passive control strategy according to the plant state includes: When the acceleration level and the displacement level are level 1, the device is operating in a normal state and no control strategy is adopted; When the acceleration level is level I or II, and the displacement level is level I or II, the active control strategy or the passive control strategy is adopted; When the acceleration level is level III, the active control strategy and the passive control strategy are adopted.

8. The method for intelligent monitoring and control of factory buildings against micro-vibration according to claim 7, characterized in that: The active control strategy is: the dynamic information of the plant is collected in real time by the acceleration sensor and the displacement sensor, and the dynamic information of the plant is used as the input feedback signal Xn(p); Set the safety amplitude threshold X based on the material parameters of the plant structure c ; According to the input feedback signal Xn(p) and the real-time amplitude value a obtained by formula (3), the reverse control force u(pan) is generated by the control function formula (8); wherein, u(pan)=f(Xn(p),a) (8) By applying the reverse control force u(pan), the input feedback signal Xn(p) converges to the safety threshold X c Same, even if Xn(p)=X c , through vibration control, suppress the growth of amplitude.

9. The method for intelligent monitoring and control of factory buildings against micro-vibration according to claim 8, characterized in that: The passive control strategy is: using an acceleration sensor to monitor the vibration signal of the plant in real time and obtain the acceleration signal Xn(p); Set the safety amplitude threshold X based on the material parameters of the plant structure c ; The real-time amplitude value a is obtained by formula (3); Determine the acceleration level of the plant vibration amplitude based on the amplitude value a and the standard vibration threshold, and determine the displacement level of the plant vibration amplitude based on the peak value of the dynamic information of the plant; The damping coefficient c of the damper is dynamically adjusted according to the acceleration and the displacement level, and the damping force is generated according to formula (9); wherein, u(pan)=g(Xn(p),a,c) (9) When the acceleration level is level I, the damping coefficient of the damper is 0; When the acceleration level is level I or II, and the displacement signal is level I or II, the damping coefficient of the damper is 0.05 to 0.3; wherein, When the damping coefficient increases, the acceleration signal is the dominant control, and when the damping coefficient decreases, the relative displacement is the dominant control; When the acceleration signal is level III, the damper adopts a damping coefficient of 0.3 to 0.7, shuts down the production line, and makes the acceleration signal Xn(p)=X c = 0, reducing the amplitude and relative displacement of the structure; Where c is the damping coefficient, a0 and a1 are the vibration standard values ​​of level I and II respectively.

10. An intelligent monitoring and control system for preventing micro-vibration in a factory building, characterized in that: The information collection unit is used to collect the dynamic information of the factory building in real time; the amplitude characteristic value of the factory building is obtained through the collected dynamic information of the factory building; an information prediction unit, configured to establish an amplitude prediction model according to the amplitude characteristic value, and predict the vibration of the plant by using the amplitude prediction model to obtain an amplitude prediction value; A safety judgment unit, configured to determine an acceleration level of the vibration amplitude of the plant building according to the amplitude prediction value and a standard vibration threshold; Determine the displacement level of the plant building amplitude based on the dynamic information peak value of the plant building and the amplitude prediction value; determine the state of the plant building based on the acceleration level and the displacement level; The amplitude control unit is used to determine whether to adopt an active control strategy or a passive control strategy according to the state of the plant.

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