Civil construction full-process digital collaborative management and control method and system

Abstract

The invention relates to the technical field of digital management and control, in particular to a civil construction full-flow digital collaborative management and control method and system, and the method comprises the steps: collecting the vibration waveform data of multi-source equipment in real time through an acceleration sensor array disposed on construction machinery, calculating the vibration phase difference between the multi-source equipment, and generating a vibration phase difference spectrogram; inputting the vibration phase difference spectrogram into a preset wave interference model, and outputting vibration conflict early warning and risk levels of the precise operation area; and based on the vibration conflict early warning and risk level, automatically generating an equipment start-stop sequence, an operation forbidden zone coordinate and a component hoisting path correction scheme, and feeding back an execution result to the wave interference model. According to the digital collaborative management and control method for the whole civil construction process, a vibration phase difference spectrogram construction mechanism based on multi-source vibration phase difference calculation is introduced, and dynamic modeling and visual expression of potential vibration interference relations among different devices are achieved in combination with a wave interference physical model.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of digital management and control, in particular to a method and system for digital collaborative management and control of the whole process of civil construction. BACKGROUND

[0002] In a large civil construction site, with the cluster operation of equipment and the improvement of operation space density, the interference risk caused by vibration coupling between construction machinery is increasingly serious, especially in precision operation areas such as steel structure hoisting and deep foundation operation. Vibration conduction may cause component shaking, construction precision decline or even safety accidents. The commonly used construction scheduling methods rely on manual experience and static operation diagrams, lack high-frequency perception of equipment operation state and dynamic conflict judgment ability, resulting in rigid construction plan, slow response and low collaborative efficiency.

[0003] Although some sensing networks and Internet of Things monitoring devices are introduced in the prior art, they are mostly limited to single-device state recording and lack the ability to model the vibration linkage between devices, making it impossible to build a complete time-space interference map. At the same time, the identification of construction conflicts is mostly limited to post-analysis or video-assisted decision-making level, and it is impossible to realize operation-level risk prediction and real-time avoidance control. Therefore, there is an urgent need for a digital collaborative management and control method that integrates vibration perception, conflict modeling and adaptive control to dynamically identify risk areas from the source, automatically generate path correction and equipment instructions, and improve the safety and intelligence of the whole process of civil construction. SUMMARY

[0004] The present application provides a method and system for digital collaborative management and control of the whole process of civil construction.

[0005] The method for digital collaborative management and control of the whole process of civil construction comprises the following steps:

[0006] S1: Real-time acquisition of vibration waveform data of multi-source equipment through an acceleration sensor array deployed on construction machinery, calculation of vibration phase difference between multi-source equipment and generation of vibration phase difference spectrum;

[0007] S2: Inputting the vibration phase difference spectrum into a preset wave interference model and outputting vibration conflict warning and risk level of the precision operation area;

[0008] S3: Based on the vibration conflict warning and risk level, automatically generating equipment start-stop sequence, operation prohibited area coordinates and component hoisting path correction scheme, and feeding back the execution result to the wave interference model.

[0009] Optionally, the S1 comprises:

[0010] S11: Installing an acceleration sensor array on the construction equipment, real-time acquisition of vibration waveform data of each equipment according to the set sampling frequency, and forming multi-channel synchronous acceleration signals;

[0011] S12: Fourier transform the vibration signals between each pair of devices, extract the phase information at the main frequency component, calculate the phase difference between the device pairs, combine the device spatial positions, and generate a vibration phase difference spectrum reflecting the vibration synchronization characteristics.

[0012] Optionally, the S11 includes:

[0013] S111: uniformly deploy an acceleration sensor array on each type of construction machinery and equipment;

[0014] S112: based on the sensor array, collect acceleration response data of multiple source devices to form a multi-channel vibration waveform data set.

[0015] Optionally, the S12 includes:

[0016] S121: perform short-time Fourier transform on the vibration signals of each pair of devices, extract the complex frequency domain response at the main vibration frequency, and calculate the instantaneous phase difference;

[0017] S122: associate the extracted instantaneous phase difference with the spatial coordinates of the sensor corresponding devices, and construct a vibration phase difference spectrum expressing the vibration phase distribution law.

[0018] Optionally, the S2 includes:

[0019] S21: input the constructed vibration phase difference spectrum into a preset wave interference model, superimpose the phase difference information between multiple devices, combine the influence weight between devices and the spatial diffusion effect of vibration waves, and calculate the interference intensity distribution at each position in the construction area;

[0020] S22: according to the calculation result of the interference intensity, set multiple risk threshold intervals, perform conflict level evaluation on different regions of the construction site, and output four types of vibration risk level labels of safety, warning, high risk and prohibited operation to form a structured dynamic conflict early warning result.

[0021] Optionally, the S21 includes:

[0022] S211: input the vibration phase difference spectrum into the wave interference model, and perform harmonic synthesis according to the phase relationship between the device pairs to obtain the interference basic response;

[0023] S212: diffuse and map the calculated interference basic response combined with the device spatial distribution, introduce a kernel function to simulate the propagation and attenuation of waves in space, and obtain the final interference intensity value.

[0024] Optionally, the S22 includes:

[0025] S221: According to the safety requirement of equipment operation in the construction scene, three groups of interference intensity threshold values are set, and the calculated interference intensity value is compared with the three groups of interference intensity threshold values point by point;

[0026] S222: The interference intensity value corresponding area is divided into risk levels according to the set rule, and a vibration conflict risk level diagram is generated.

[0027] Optionally, the S3 comprises:

[0028] S31: Based on the vibration conflict risk level diagram, the high-risk and prohibited operation area in the current operation area are identified, and the device start-stop control sequence and the operation prohibited area set are generated.

[0029] S32: In the hoisting path planning process, the output operation prohibited area set is taken as the path impassable constraint area, the penalty potential field function constructed based on the risk level is introduced for dynamic path optimization, the avoidance path is generated, and the control result is fed back to the wave interference model.

[0030] Optionally, the S32 comprises:

[0031] S321: Based on the vibration conflict risk level diagram, the penalty potential field function is constructed.

[0032] S322: The penalty potential field function is added to the basic distance cost function to obtain a composite path cost function.

[0033] S323: Under the premise of meeting the constraint of "avoiding the prohibited area set", the path with the minimum total cost is solved.

[0034] The civil construction full-process digital collaborative management and control system is used to realize the civil construction full-process digital collaborative management and control method, and comprises the following modules:

[0035] The vibration phase difference spectrum diagram generation module: the acceleration sensor array of the construction machinery is deployed to collect the vibration waveform data of the multi-source equipment, the vibration phase difference between the equipment is calculated, and the corresponding vibration phase difference spectrum diagram is generated.

[0036] The wave interference analysis and risk early warning module: the vibration phase difference spectrum diagram is input into the preset wave interference model, and the vibration conflict early warning information and risk level of the precision operation area are calculated and output.

[0037] The path decision and feedback control module: based on the vibration conflict early warning and risk level, the device start-stop sequence, operation prohibited area coordinates and component hoisting path correction scheme are automatically generated, and the execution result is fed back to the wave interference model, so that the risk closed-loop regulation and control is realized.

[0038] The beneficial effects of the application are:

[0039] The application proposes a digital collaborative management and control method for the whole process of civil construction, introduces a vibration phase difference spectrum construction mechanism based on multi-source vibration phase difference calculation, combines a wave interference physical model, realizes dynamic modeling and visual expression of potential vibration interference relationship between different devices, and has higher conflict identification resolution and spatial and temporal continuity, which can accurately reflect the resonance risk propagation path between device groups, and provides physical basis support for risk management of precision construction area.

[0040] The application constructs an adaptive avoidance control mechanism driven by a risk level map, integrates start-stop strategy, forbidden zone extraction and hoisting path dynamic correction, realizes construction safety optimization while ensuring operation continuity, converts risk level into path cost by introducing a penalty potential field function, realizes closed-loop linkage of avoidance control and wave interference model based on a path constraint optimization model, has real-time response, dynamic update and intelligent adjustment capabilities, breaks through the technical bottlenecks of "distributed perception, lagging identification and isolated control" in existing construction collaborative management and control, and significantly improves the automation and safety intelligence level of the construction process. BRIEF DESCRIPTION OF DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the application or prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only a part of the application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0042] Figure 1 The method flowchart of the embodiment of the application is shown in the following.

[0043] Figure 2 The system module diagram of the embodiment of the application is shown in the following. DETAILED DESCRIPTION

[0044] The application will be described in detail below in combination with the drawings and specific embodiments. It should be noted that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments, and other alternative ways can also be used by those skilled in the art to implement; and the drawings are only used to more specifically describe the embodiments, and are not intended to specifically limit the application.

[0045] It is to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting; for example, "an embodiment," "embodiment," "exemplary embodiment," "some embodiments," and the like can refer to a single embodiment or to one or more embodiments among several embodiments. The terms "at least one," "one or more," and "multiple" are used interchangeably. Furthermore, the description can use perspective-based descriptions such as "above," "below," "upper," "lower," or the like. Such relative descriptions are only made with reference to the figures as drawn and not based on any implied gravity- or orientation-based meanings or implications, unless explicitly so described.

[0046] Generally, the terminology can be understood at least in part from usage in context. For example, the term "one or more" as used herein, depending at least in part upon context, can be used to describe any feature, structure, or characteristic in a singular sense or can be used to describe combinations of features, structures or characteristics in a plural sense. Similarly, the terms "based on" and "received data" as used herein, can be understood as possibly permitting a

[0047] As shown in Figure 1 , the civil construction full-process digital collaborative management and control method comprises the following steps:

[0048] S1: Real-time acquisition of multi-source equipment vibration waveform data through the acceleration sensor array deployed on the construction machinery, calculation of vibration phase difference between multi-source equipment and generation of vibration phase difference spectrum;

[0049] S1 specifically includes:

[0050] S11: Install acceleration sensor array on construction equipment, real-time acquisition of vibration waveform data of each equipment according to set sampling frequency, form multi-channel synchronous acceleration signal;

[0051] S11 includes:

[0052] S111: Uniformly deploy acceleration sensor array on various construction machinery and equipment, ensure coverage of key operation areas and high interference equipment, set uniform sampling frequency , calculate sampling time interval to ensure synchronization and timing accuracy of acquisition;

[0053] S112: Based on the sensor array, acquire acceleration response data of multi-source equipment on the time sequence , form multi-channel vibration waveform data set, represented as:

[0054] ;

[0055] wherein, is the first The acceleration time sequence collected by the sensor represents a continuous vibration response signal and is used to describe the overall vibration characteristics of the device in the monitoring period, is the th acceleration value collected by the sensor at time , the value range is , reflecting the instantaneous vibration state, and is the basic unit of the time sequence, is the sampling time point, indicating the time when the th sampling occurs, and clearly defines the structure of the time sequence, providing a basis for vibration time domain and frequency domain conversion, is the number of deployed acceleration sensors or the number of monitored devices, the value range is 4-32, ensuring the spatial coverage of the vibration source and meeting the needs of interference relationship calculation, is the total number of sampling points of each channel, the value range is 1000-10000, ensuring sufficient time resolution for subsequent Fourier analysis and phase extraction, is the continuous sampling time interval, the value range is 0.1-5, and it needs to meet the Nyquist sampling criterion, i.e., at least twice the frequency of the main frequency of the signal, is the sampling frequency, indicating the number of data points sampled per second, the value range is 200-5000, which should be higher than the main vibration frequency of the construction device (usually less than 500) to prevent aliasing and improve phase resolution;

[0056] S12: Fourier transform is performed on the vibration signals between each pair of devices to extract the phase information under the main frequency component and calculate the phase difference between the devices, and combined with the spatial positions of the devices, a vibration phase difference spectrum reflecting the vibration synchronization characteristics is generated.

[0057] S12 includes:

[0058] S121: Short-time Fourier transform (STFT) is performed on the vibration signals of each pair of devices and to extract the complex frequency domain response under the main vibration frequency , calculate its instantaneous phase difference, and represent it as:

[0059] ;

[0060] wherein, is the main vibration frequency, i.e., the frequency component with the most concentrated energy of the device vibration signal, the value range is 10-300, is the phase difference value of device and device at time , the value range is The range of the phase angle difference is determined by complex number operations, which indicates the relative delay or lead relationship of the vibration of the two devices. It's a signal At the main frequency The complex Fourier coefficients on the device At the main frequency The vibration amplitude and phase information under the condition is the basis of phase calculation. is the conjugate operation, used to calculate the phase difference directionality, It's a signal In frequency The conjugate complex coefficient at is used to calculate the phase difference direction to ensure the directionality of the phase difference. Represents the complex phase angle extraction operation, the output value is , extract the complex phase information to construct the phase difference is the main vibration frequency, usually , determined according to the equipment working conditions;

[0061] S122: The extracted instantaneous phase difference The spatial coordinates of the device corresponding to the sensor By correlation, a vibration phase difference spectrum expressing the vibration phase distribution law is constructed, which is expressed as:

[0062] ;

[0063] in, It is a phase difference spectrum indexed by spatial coordinates and time, with a value range of , as the final input map for conflict judgment, it integrates spatial position and vibration time sequence information, It is a device and Location coordinates, It is a time index corresponding to the sampling moment. The vibration phase difference spectrum can be used to identify vibration propagation consistency, resonance interference path and high-risk operations.

[0064] S2: Input the vibration phase difference spectrum into the preset wave interference model to output the vibration conflict warning and risk level of the precision operation area;

[0065] S2 specifically includes:

[0066] S21: Input the constructed vibration phase difference spectrum into the preset wave interference model. By superimposing the phase difference information between multiple devices, combining the influence weights between devices and the spatial diffusion effect of the vibration wave, the interference intensity distribution at each location in the construction area is calculated;

[0067] S21 includes:

[0068] S211: Calculate the vibration phase difference spectrum The input wave interference model is harmonically synthesized according to the phase relationship between the devices to obtain the interference basic response at time , which is expressed as:

[0069] ;

[0070] wherein, The phase difference between the sensor and at time , the phase difference reflects the synchronization or lag relationship of the vibration response between the devices, which is calculated by the Fourier phase information, the standard range is the relative phase within a period, the value range is , The coupling weight coefficient represents the interaction strength between the device and , the value range is , which represents the degree of mutual influence between different devices, and the high weight represents strong vibration coupling, which is usually set by experience or estimated based on device type and distance, is the total number of sensors or devices, which reflects the relative synchronization and mutual interference trend between different vibration sources, the value range is 4-32, which is used to traverse all device combinations, the more the number, the more the model can capture the global interference characteristics, but the calculation amount also increases accordingly;

[0071] S212: Combine the calculated interference basic response with the spatial distribution of the device for diffusion mapping processing, introduce the kernel function to simulate the propagation and attenuation of waves in space, and obtain the final interference intensity value, which is expressed as:

[0072] ;

[0073] wherein, is the interference intensity value of the spatial point at time , the value range is 0-2, which is formed by the interference intensity of all devices, which is used to reflect the overall resonance tendency of the system, is the diffusion kernel function (such as Gaussian kernel) centered on the device and acting on the position , the result is used to represent the vibration interference intensity distribution at a specific time and space, which is the core input of conflict risk warning, the value range is 0-1, is the spatial position coordinate of the th device, which is used for spatial kernel function positioning and interference mapping to ensure that the interference response is consistent with the physical layout.

[0074] S22: According to the calculation result of the interference intensity, set multiple risk threshold intervals, evaluate the conflict level of different areas of the construction site, and output safety, warning, high risk and prohibited operation four categories of vibration risk level labels, forming a structured dynamic conflict early warning result.

[0075] S22 includes:

[0076] S221: According to the safety requirement of equipment operation in construction scene, set three groups of interference intensity threshold 、 、 , compare the calculated interference intensity value with the three groups of interference intensity threshold point by point, provide the basis for subsequent risk level division,

[0077] Among them, is the interference intensity value of the spatial position at time , is the safety threshold, the area below this value is judged as no interference risk, and can be normally operated, the value range is 0.1-0.3, which represents the minimum allowed interference energy, which has no substantial interference to precision operation, is the warning threshold, the interference intensity exceeding this value enters the warning area, reflecting the moderate interference risk, the value range is 0.4-0.6, which is used to prompt that the interference influence has been significant, and the construction plan needs to be pre-evaluated or buffered, is the prohibited operation threshold, the area exceeding this value is prohibited for high-precision operation, the value range is 0.7-0.9, which represents that the vibration interference has approached or exceeded the equipment tolerance, and there is a risk of resonance or error amplification. The value of the three groups of interference intensity threshold is set according to historical statistics or experimental calibration, which meets ;

[0078] S222: Divide the risk level of the corresponding area according to the interference intensity value according to the set rule, generate the vibration conflict risk level map , which is represented as:

[0079] ;

[0080] Among them, is the vibration conflict risk level map, the output value is 0, 1, 2, 3, the risk level corresponds to 0 (safe), 1 (warning), 2 (high risk), and 3 (prohibited operation), which is used for operation scheduling system and safety strategy matching, guiding operation plan and avoidance control, and the label atlas supports real-time update and keeps synchronization with the dynamic output of the wave interference model, to ensure the continuity and reaction speed of the interference state prediction, facilitate quick classification processing, atlas visualization, device behavior linkage and path optimization, etc.

[0081] S3: Based on vibration conflict warnings and risk levels, the system automatically generates equipment start-stop sequences, work restricted area coordinates, and component lifting path correction plans, and feeds the execution results back to the wave interference model.

[0082] S3 specifically includes:

[0083] S31: Based on vibration conflict risk level diagram Identify high-risk and prohibited operation areas in the current operation area and generate equipment start and stop control sequences Assemble with the restricted area , expressed as:

[0084] ;

[0085] ;

[0086] in, It's location At the moment Vibration conflict risk level diagram, The currently prohibited operation area consists of high-risk and prohibited areas, which serve as hard spatial constraints for lifting paths and operation plans. It is the output equipment start-stop control instruction set, indicating the equipment number set that needs to be shut down. It is used to issue control instructions to ensure that equipment in high-risk interference areas suspend operations to prevent interference superposition. For the The operating coverage of each device (spatial sub-area), that is, its operating trajectory or wave propagation area, indicates the spatial range that each device may interfere with, and is used to determine whether it is in a high-risk coverage area. Indicates the A device is used to identify a specific device so that its operating status can be controlled individually;

[0087] S32: During the hoisting path planning process, the output work restricted area set is used as the path inaccessible constraint area, and a penalty potential field function constructed based on the risk level is introduced to perform dynamic path optimization, generate an avoidance path and feed the control results back to the wave interference model.

[0088] S32 includes:

[0089] S321: Based on vibration conflict risk level diagram , construct the penalty potential field function , which is used to quantify the risk cost of each spatial location and is expressed as:

[0090] ;

[0091] in, Location At the moment The avoidance potential field value, is the risk penalty coefficient, and its value range is , reflects the avoidance sensitivity to high-risk areas. The potential field value in high-risk areas is larger, which makes the path planning algorithm automatically tend to avoid high-risk areas. Increasing this value can make the path more sensitive to high-risk areas and ensure safety priority;

[0092] S322: Penalty potential function and basic distance cost function Adding them together, we get the composite path cost function, which is expressed as:

[0093] ;

[0094] in, is the path base cost, usually Euclidean distance, obstacle weight or terrain gradient function, indicating the distance from the starting point to The movement cost is used to measure the physical cost of the path itself and ensure the rationality and efficiency of the path. The path passes through the location At the moment The total path cost, the path planning process not only considers the shortest distance, but also includes safety and obstacle avoidance costs into cost judgment;

[0095] S323: When meeting the requirement of "avoid restricted area" Under this constraint, find the path with the minimum total cost. , expressed as:

[0096] ;

[0097] in, is the final generated lifting avoidance path, which needs to avoid restricted areas and minimize the total cost function. is a candidate path set, representing all possible lifting path candidate solutions for the optimization algorithm to search for the optimal path. It is the length element on the path curve, used for path integral calculation, and is the basic form of continuous modeling of path cost. It is the generated coordinate set of the impassable area. After the path is generated, the path and the start and stop status of the equipment are fed back to the wave interference model for the next round of vibration prediction and response adjustment.

[0098] like Figure 2 As shown, the digital collaborative control system for the entire process of civil construction is used to implement the above-mentioned digital collaborative control method for the entire process of civil construction, and includes the following modules:

[0099] The vibration phase difference spectrum generation module: the vibration waveform data of the multi-source equipment is collected by the acceleration sensor array arranged on the construction machinery, the vibration phase difference between the equipment is calculated, and the corresponding vibration phase difference spectrum is generated;

[0100] The wave interference analysis and risk early warning module: the vibration phase difference spectrum is input into the preset wave interference model, the vibration conflict early warning information and the risk level of the precision operation area are calculated and output;

[0101] The path decision and feedback control module: based on the vibration conflict early warning and the risk level, the equipment start-stop sequence, the operation forbidden area coordinates and the component hoisting path correction scheme are automatically generated, and the execution result is fed back to the wave interference model, so that the risk closed-loop regulation and control is realized.

[0102] The present application covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present application. In order to make the public have a thorough understanding of the present application, the specific details are described in the following preferred embodiments of the present application, and the present application can also be fully understood without the description of these details for those skilled in the art. In addition, in order to avoid unnecessary confusion to the essence of the present application, the well-known methods, processes, procedures, elements and circuits are not described in detail.

[0103] The above is only the preferred embodiment of the present application, and it should be pointed out that for those skilled in the art, without departing from the principle of the present application, a number of improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present application.

Claims

1. A digital collaborative management and control method for the entire civil construction process, characterized by: The following steps are involved: S1: Using an acceleration sensor array deployed on construction machinery, the system collects vibration waveform data from multiple devices in real time, calculates the vibration phase difference between the multiple devices, and generates a vibration phase difference spectrum. S2: Inputting the vibration phase difference spectrum into a preset wave interference model to output a vibration conflict warning and risk level for the precision operation area; S3: Based on the vibration conflict warning and risk level, automatically generate equipment start-stop sequence, operation restricted area coordinates and component lifting path correction plan, and feed back the execution results to the wave interference model.

2. The digital collaborative management and control method for the entire process of civil construction according to claim 1 is characterized in that: Said S1 comprises: S11: Install an acceleration sensor array on the construction equipment to collect vibration waveform data of each device in real time according to the set sampling frequency to form a multi-channel synchronous acceleration signal; S12: Perform Fourier transform on the vibration signals between the devices, extract the phase information under the main frequency component, and calculate the phase difference between the device pairs. Combined with the spatial position of the devices, a vibration phase difference spectrum reflecting the vibration synchronization characteristics is generated.

3. The digital collaborative management and control method for the entire process of civil construction according to claim 2 is characterized in that: The S11 includes: S111: Evenly deploy acceleration sensor arrays on various types of construction machinery and equipment; S112: Based on the sensor array, collect acceleration response data of multiple source devices to form a multi-channel vibration waveform data set.

4. The digital collaborative management and control method for the entire process of civil construction according to claim 2 is characterized in that: The S12 includes: S121: Perform short-time Fourier transform on the vibration signals of each pair of devices, extract the complex frequency domain response at the main vibration frequency, and calculate the instantaneous phase difference; S122: Associating the extracted instantaneous phase difference with the spatial coordinates of the device corresponding to the sensor to construct a vibration phase difference spectrum that expresses the vibration phase distribution law.

5. The digital collaborative management and control method for the entire process of civil construction according to claim 4 is characterized in that: The S2 includes: S21: Input the constructed vibration phase difference spectrum into the preset wave interference model. By superimposing the phase difference information between multiple devices, combining the influence weights between devices and the spatial diffusion effect of the vibration wave, the interference intensity distribution at each location in the construction area is calculated; S22: Based on the calculation results of the interference intensity, multiple risk threshold intervals are set to evaluate the conflict levels of different areas of the construction site, and four types of vibration risk level labels, namely safety, warning, high risk and prohibited operation, are output to form a structured dynamic conflict warning result.

6. The digital collaborative management and control method for the entire process of civil construction according to claim 5 is characterized in that: The S21 includes: S211: Input the vibration phase difference spectrum into the wave interference model, perform harmonic synthesis according to the phase relationship between the device pairs, and obtain the interference basic response; S212: The calculated interference basic response is combined with the spatial distribution of the device to perform diffusion mapping processing, and a kernel function is introduced to simulate the propagation and attenuation of the wave in space to obtain the final interference intensity value.

7. The digital collaborative management and control method for the entire process of civil construction according to claim 5 is characterized in that: The S22 includes: S221: According to the equipment operation safety requirements of the construction scenario, three sets of interference intensity thresholds are set, and the calculated interference intensity value is compared with the three sets of interference intensity thresholds point by point; S222: Divide the areas corresponding to the interference intensity values ​​into risk levels according to set rules, and generate a vibration conflict risk level map.

8. The digital collaborative management and control method for the entire process of civil construction according to claim 7 is characterized in that: The S3 includes: S31: Identify high-risk and prohibited operation areas in the current operation area based on the vibration conflict risk level map, and generate an equipment start-stop control sequence and an operation restricted area set; S32: During the hoisting path planning process, the output work restricted area set is used as the path inaccessible constraint area, and a penalty potential field function constructed based on the risk level is introduced to perform dynamic path optimization, generate an avoidance path and feed the control results back to the wave interference model.

9. The digital collaborative management and control method for the entire process of civil construction according to claim 8 is characterized in that: The S32 includes: S321: Construct a penalty potential field function based on the vibration conflict risk level map; S322: Add the penalty potential field function to the basic distance cost function to obtain a composite path cost function; S323: Under the premise of satisfying the constraint of "avoiding the restricted area set", find the path with the minimum total cost.

10. A digital collaborative management and control system for the entire process of civil construction, for implementing the digital collaborative management and control method for the entire process of civil construction as claimed in any one of claims 1 to 9, characterized in that: Includes the following modules: Vibration phase difference spectrum generation module: The acceleration sensor array deployed on construction machinery collects vibration waveform data from multiple source devices, calculates the vibration phase difference between devices, and generates the corresponding vibration phase difference spectrum; Wave interference analysis and risk warning module: inputs the vibration phase difference spectrum into a preset wave interference model, calculates and outputs vibration conflict warning information and risk level of the precision operation area; Path decision and feedback control module: Based on vibration conflict warning and risk level, it automatically generates equipment start and stop sequences, operation restricted area coordinates and component lifting path correction plans, and feeds back the execution results to the wave interference model to achieve risk closed-loop control.

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