Construction site noise remote monitoring method and system based on CIM

Abstract

The present application discloses a method and system for remote monitoring of construction site noise based on CIM, which relates to the field of data processing technology. The method includes: obtaining a construction building BIM model and a project construction plan; according to the project construction plan, the construction building BIM model is divided into components according to the construction stage to obtain the stage construction building model corresponding to each construction stage; obtaining and calculating the noise value of each stage construction building model according to the site noise detection data; comparing the noise value of the stage construction building model with the preset noise limit, and judging the noise exceeding the standard at the construction site corresponding to the stage construction building model according to the comparison result. The present application can remotely monitor the noise situation of a construction site.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method and system for remote monitoring of construction site noise based on CIM. Background Art

[0002] Construction sites often generate a lot of noise. Long-term exposure to high noise environments will not only affect the quality of life of surrounding residents, but may also cause damage to the hearing health of workers. Therefore, it is necessary to monitor the noise situation at construction sites.

[0003] Due to the large number of construction sites and their wide distribution, relying on manual noise monitoring at construction sites is costly and inefficient. A digital method is needed to monitor the noise conditions at construction sites.

[0004] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of this application is to provide a CIM-based construction site noise remote monitoring method and system, aiming to solve the technical problem of how to monitor the noise situation at a construction site.

[0006] To achieve the above objectives, the present application proposes a remote monitoring method for construction site noise based on CIM, the method comprising:

[0007] Obtain construction building BIM models and project construction plans;

[0008] According to the project construction plan, the construction building BIM model is split into components according to the construction stages to obtain the stage construction building models corresponding to each construction stage;

[0009] Obtaining and calculating the noise value of the construction building model at each stage according to the construction site noise detection data;

[0010] The noise value of the building model under construction at the stage is compared with the preset noise limit, and the noise exceeding the limit at the construction site corresponding to the building model under construction at the stage is determined according to the comparison result.

[0011] In one embodiment, the step of obtaining and calculating the noise value of the construction building model at each stage according to the construction site noise detection data includes:

[0012] Calculate the average value of the daytime noise equivalent sound level according to the construction site noise detection data;

[0013] If the average value of the daytime noise equivalent sound level is greater than or equal to the daytime noise limit, it is determined that the daytime noise on the construction site exceeds the limit;

[0014] Calculate the maximum noise value at night based on the construction site noise detection data;

[0015] If the maximum nighttime noise value is greater than or equal to the nighttime noise limit value, it is determined that the nighttime noise exceeds the limit value at the construction site.

[0016] In one embodiment, the step of calculating the average value of the daytime noise equivalent sound level according to the construction site noise detection data comprises:

[0017] Determine the sampling time and sampling period;

[0018] Acquire the construction site noise detection data at each sampling moment according to the sampling moment and the sampling period;

[0019] The average value of the daytime noise equivalent sound level is calculated according to the construction site noise detection data at each of the sampling moments.

[0020] In one embodiment, after the step of determining, according to the comparison result, whether the noise level at the construction site corresponding to the building model under construction at the stage exceeds the standard, the step further includes:

[0021] Determine noise-sensitive areas based on the preset perimeter of the construction site;

[0022] Obtaining the BIM model of the surrounding buildings corresponding to the noise sensitive area;

[0023] Splitting the surrounding building BIM model according to different floors and different walls to obtain a target surrounding building model;

[0024] Acquire surrounding noise detection data, and calculate the noise value of the target surrounding building model according to the surrounding noise detection data and a noise space algorithm.

[0025] In one embodiment, the step of acquiring surrounding noise detection data and calculating the noise value of the target surrounding building model according to the surrounding noise detection data and a noise space algorithm comprises:

[0026] Determine a noise receiving point from the target surrounding building model;

[0027] Acquire the surrounding noise detection data of the noise receiving point;

[0028] The noise value of the target surrounding building model is calculated according to the surrounding noise detection data of the noise receiving point and a noise space algorithm.

[0029] In one embodiment, the calculation formula of the noise space algorithm is: Among them, Laeq is the energy average value of the sound level A within the preset measurement time T, LA is the instantaneous sound level A at time t, T is the measurement time period, and K1 and K2 values ​​are deviation coefficients.

[0030] In one embodiment, the method further comprises:

[0031] Associating the noise value of the target surrounding building model with the target surrounding building model;

[0032] Dividing the noise value of the target surrounding building model into range intervals, and defining different colors for each range interval;

[0033] The target surrounding building model is rendered in color according to the range interval and the color corresponding to the range interval.

[0034] In addition, to achieve the above-mentioned objectives, the present application also proposes a CIM-based remote monitoring system for construction site noise, the system comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the CIM-based remote monitoring method for construction site noise as described above.

[0035] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the remote monitoring method of construction site noise based on CIM as described above are implemented.

[0036] One or more technical solutions proposed in this application have at least the following technical effects:

[0037] Obtain the construction building BIM model and the project construction plan; split the construction building BIM model into components according to the construction stage according to the project construction plan, and obtain the stage construction building model corresponding to each construction stage; split the construction building BIM model into components according to each construction stage through the construction organization plan of the construction site, and display the BIM model in stages according to the progress of the construction project. Obtain and calculate the noise value of the construction building model at each stage based on the construction site noise detection data; compare the noise value of the construction building model at the stage with the preset noise limit, and determine the noise exceeding the standard at the construction site corresponding to the construction building model at the stage according to the comparison result; confirm the noise exceeding the standard at each construction stage through the construction site noise detection data, and comprehensively monitor the noise of the construction site according to different construction stages. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0039] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0040] Figure 1 A flowchart of a first embodiment of a method for remote monitoring of construction site noise based on CIM in this application;

[0041] Figure 2 A detailed flow chart of the first embodiment of the method for remote monitoring of construction site noise based on CIM provided in this application;

[0042] Figure 3 A software architecture diagram of a method for remote monitoring of construction site noise based on CIM in an embodiment of the present application;

[0043] Figure 4 A flow chart of a second embodiment of a method for remote monitoring of construction site noise based on CIM provided in this application;

[0044] Figure 5 A detailed flow chart of Example 2 of the remote monitoring method for construction site noise based on CIM provided in this application;

[0045] Figure 6 A flowchart of a third embodiment of a method for remote monitoring of construction site noise based on CIM in this application;

[0046] Figure 7 A color schematic diagram corresponding to the noise value range provided in Example 3 of the method for remote monitoring of construction site noise based on CIM in this application;

[0047] Figure 8 Schematic diagram of the system structure of the hardware operating environment involved in the CIM-based construction site noise remote monitoring method in the embodiment of the present application.

[0048] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0049] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0050] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0051] The main solution of the embodiment of the present application is to obtain the construction building BIM model and project construction plan;

[0052] According to the project construction plan, the construction building BIM model is split into components according to the construction stages to obtain the stage construction building models corresponding to each construction stage; the noise value of the construction building models at each stage is obtained and calculated based on the construction site noise detection data; the noise value of the construction building models at each stage is compared with the preset noise limit, and based on the comparison result, it is determined whether the noise at the construction site corresponding to the construction building models at each stage exceeds the standard.

[0053] Due to the large number of construction sites and their wide distribution, relying on manual noise monitoring at construction sites is costly and inefficient. A digital method is needed to monitor the noise conditions at construction sites.

[0054] The present application provides a solution to obtain a construction building BIM model and a project construction plan; according to the project construction plan, the construction building BIM model is divided into components according to the construction stage to obtain the stage construction building model corresponding to each construction stage; through the construction organization plan of the construction site, the construction building BIM model is divided into components according to each construction stage, and the BIM model can be displayed in stages according to the progress of the construction project. Obtain and calculate the noise value of the construction building model at each stage based on the construction site noise detection data; compare the noise value of the construction building model at the stage with the preset noise limit, and determine the noise exceeding the standard at the construction site corresponding to the construction building model at the stage based on the comparison result; confirm the noise exceeding the standard at each construction stage through the construction site noise detection data, and comprehensively monitor the noise of the construction site according to different construction stages.

[0055] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a program process abnormality monitoring device, etc. The following takes the construction site noise remote monitoring system based on CIM as an example to illustrate this embodiment and the following embodiments.

[0056] Based on this, the embodiment of the present application provides a remote monitoring method for construction site noise based on CIM, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the remote monitoring method for construction site noise based on CIM in this application.

[0057] In this embodiment, the CIM-based construction site noise remote monitoring method includes steps S10 to S40:

[0058] Step S10, obtaining a construction building BIM model and a project construction plan;

[0059] It should be noted that the construction building BIM model refers to the building BIM model of the building under construction at the construction site. The project construction plan includes a detailed construction schedule, which clarifies the start and end time and key nodes of each construction stage.

[0060] In addition, the CIM platform (platform of city information modeling, the city-wide spatiotemporal information platform) is based on technologies such as BIM (Building Information Modeling), GIS (Geographic Information System) and IoT (Internet of Things). The CIM platform is a three-dimensional digital model that manages and expresses urban three-dimensional space, buildings and infrastructure, and supports urban planning, construction, management and operation. It provides diversified spatiotemporal information services directly to various administrative departments, enterprises, institutions and the public. BIM (Building Information Modeling) is a general term for the process and results of digitally expressing the physical and functional characteristics of construction projects and facilities throughout their life cycle, and designing, constructing and operating them accordingly. GIS (Geographic Information System) is a technical system that collects, stores, manages, calculates, analyzes, displays and describes relevant geographical distribution data in the entire or part of the earth's surface (including the atmosphere) space with the support of computer hardware and software systems. IoT (Internet of Things) uses various devices and technologies such as information sensors, radio frequency identification technology, global positioning system, infrared sensors, laser scanners, etc. to collect real-time information on any object or process that needs to be monitored, connected, and interacted with, and collects various required information such as sound, light, heat, electricity, mechanics, chemistry, biology, and location. Through various possible network access, it realizes ubiquitous connection between objects and objects, and between objects and people, and realizes intelligent perception, identification, and management of objects and processes.

[0061] In this embodiment, the construction building BIM model is obtained from the CIM platform, and the required construction building BIM model can be found and located through the data retrieval function provided by the CIM platform. The project construction plan can be exemplary, and the required construction building BIM model can be found and located according to a specific construction project name, geographical location or other identifier.

[0062] In a feasible implementation, after obtaining the construction building BIM model, the construction building BIM model is lightweight processed. The lightweight processing step includes at least one or more of the steps of digital-analog separation, simplification of triangular faces, and removal of model internal entities. When performing digital-analog separation, the attribute information of the construction building BIM model is stripped off according to the scene display requirements to reduce data redundancy. In the step of simplifying triangular faces, since the model surface is a fine triangulated network composed of a large number of triangular faces, for simple planes, the amount of model data can be significantly reduced by merging triangular faces. In the process of removing the internal entities of the model, the model entities are hollowed out to reduce the model data volume, and only the appearance of each component required in the model is presented. By lightweight processing the construction building BIM model, the data volume in the model is reduced, which can meet the requirements of second-level loading and real-time rendering of the construction building BIM model on the browser side.

[0063] In a feasible implementation, the triangular faces can be simplified by plane detection and merging. For an area consisting of a large number of almost coplanar triangular faces, it is possible to identify whether they belong to the same plane by detecting whether the normal vectors of these triangular faces are similar. Once such an area is detected, these triangular faces can be merged into a larger polygon, and then the polygon can be re-triangulated into fewer triangular faces. This method can significantly reduce the amount of data in the flat area while maintaining its geometric features.

[0064] In a feasible implementation, the triangular faces can also be simplified by re-meshing. By analyzing the geometric and topological features of the existing mesh, a new mesh with fewer triangular faces is regenerated. This can eliminate redundant triangular faces and optimize the topological structure of the mesh.

[0065] Step S20, according to the project construction plan, the construction building BIM model is split into components according to the construction stages to obtain the stage construction building models corresponding to each construction stage;

[0066] In this embodiment, first, according to the construction plan of the construction site and the actual progress of the site, the BIM model of the construction building is split and associated according to each stage of the construction, such as foundation construction, main structure construction, landscape construction, roof and decoration construction, etc. It can realize the display of the BIM model in stages according to the progress of the project, restore the actual construction status of the construction site, and create a three-dimensional space base for the building where the construction site is located.

[0067] In a feasible embodiment, first, the project construction plan is parsed, and detailed information of each construction stage is extracted from the project construction plan file (such as Excel, PDF or a document in a specific format), including the stage name, start time, end time, and engineering content to be completed in this stage. Secondly, the construction building BIM model is parsed, and all components (such as walls, columns, beams, doors and windows, etc.) in the construction building BIM model are identified, and their attribute information (such as location, size, material, type, etc.) is obtained. Finally, according to the engineering content in the construction plan, the components in the construction building BIM model are classified and associated with the corresponding construction stages to obtain the component types required for construction in each construction stage. For each construction stage, all components required for this stage are extracted from the complete BIM model according to the component classification and association information, and the extracted components are recombined into a new BIM model, which only contains the components required for the current construction stage to form a stage construction building model.

[0068] In a feasible implementation, the construction building BIM model is split into components and reorganized according to the progress Gantt chart, and a unique time label or stage identifier is assigned to each stage. The label can be a number, a date range, or a custom coding system that can clearly identify each construction stage. By selecting different construction stages according to the time label, the corresponding stage construction building model can be selected for presentation.

[0069] In this embodiment, the construction organization plan of the construction site is used to split the construction building BIM model into components according to each construction stage, and the BIM model can be displayed in stages according to the progress of the construction project.

[0070] Step S30, obtaining and calculating the noise value of the construction building model at each stage according to the construction site noise detection data;

[0071] Step S40, comparing the noise value of the building model under construction at the stage with a preset noise limit value, and determining, based on the comparison result, whether the noise on the construction site corresponding to the building model under construction at the stage exceeds the limit value.

[0072] In this embodiment, the construction site noise detection data can be obtained by noise monitoring equipment (such as noise sensors). The noise value of the stage construction building model can be the maximum noise value in a certain period of time, or the average noise value in a certain period of time, and the noise values ​​during the day and at night can also be calculated separately.

[0073] In a feasible implementation manner, the daytime loud noise value and the nighttime maximum noise value are obtained respectively, and the daytime loud noise value and the nighttime maximum noise value are compared with a preset noise limit value.

[0074] Please refer to Figure 2 In a feasible implementation manner, step S30 may include steps S31 to S34:

[0075] Step S31, calculating the average value of the daytime noise equivalent sound level according to the construction site noise detection data;

[0076] Step S32: if the average value of the daytime noise equivalent sound level is greater than or equal to the daytime noise limit, it is determined that the daytime noise on the construction site exceeds the limit;

[0077] It should be noted that the equivalent sound level refers to the A sound level of a continuous steady-state sound within a given period of time, which produces the same energy as the unstable noise during this period of time.

[0078] In this embodiment, the construction site noise detection data can be determined by the noise sensor data in the CIM platform.

[0079] In one possible implementation, the average daytime equivalent sound level can be calculated using the formula: Laeq = L50 + d² / 60, where L50 is the median sound level (i.e., 50% of the time the noise exceeds this value and 50% of the time is below this value), and d is the difference between L10 and L90 (i.e., 10% of the time the noise exceeds L90 and 90% of the time the noise is below L10).

[0080] In a feasible implementation, step S31 may include the following steps:

[0081] Determine the sampling time and sampling period;

[0082] Acquire the construction site noise detection data at each sampling moment according to the sampling moment and the sampling period;

[0083] The average value of the daytime noise equivalent sound level is calculated according to the construction site noise detection data at each of the sampling moments.

[0084] In this embodiment, when calculating the average value of the equivalent sound level of daytime noise, first, determine the sampling time and sampling period. The sampling time refers to the specific time point when the noise data starts to be recorded. For example, for daytime noise monitoring, a starting time point can be selected as the first sampling time, and the subsequent sampling time can be determined according to the sampling period. The sampling period refers to the time interval between two consecutive samplings. The selection of the sampling period depends on the accuracy requirements of the monitoring and the feasibility of the actual operation. Secondly, according to the determined sampling time and sampling period, obtain the construction site noise detection data recorded by the noise monitoring equipment (such as noise sensor) at each sampling time, and the construction site noise detection data is the instantaneous sound level at the corresponding sampling time. Finally, calculate the equivalent sound level within each sampling period, and then calculate the average value of these equivalent sound levels.

[0085] For example, when calculating the average value of the equivalent sound level for 20 minutes, it is assumed that the measurements are equally spaced, once every minute, with a total of 20 measurement points. By formula: ; Calculate to get the average value of daytime noise equivalent sound level. Where T is 20 minutes and LA is the instantaneous A sound level at time t.

[0086] Step S33, calculating the maximum noise value at night according to the construction site noise detection data;

[0087] Step S34: If the maximum nighttime noise value is greater than or equal to the nighttime noise limit value, it is determined that the nighttime noise exceeds the limit at the construction site.

[0088] In this implementation, the maximum nighttime noise value is compared with a preset nighttime noise limit value. If the maximum nighttime noise value is greater than or equal to the nighttime noise limit value, it indicates that the nighttime noise exceeds the limit value at the construction site.

[0089] For example, the construction site noise detection data collected at night is selected from the construction site noise detection data, such as the construction site noise detection data from 22:00 at night to 06:00 the next morning. The maximum noise value is found from the construction site noise detection data collected at night and compared with the preset night noise limit.

[0090] In a feasible implementation, monitoring videos can also be used as an aid to automatically identify and capture the working conditions of vehicles and machinery on site for archiving. The monitoring videos of the construction site can be linked with the noise monitoring data to display, so as to judge and count the unapproved construction and noise exceeding the standard on the construction site. By archiving monitoring videos, relevant law enforcement evidence of violations and noise exceeding the standard is provided.

[0091] For example, as shown in Table 1, Table 1 provides a noise management standard for a construction site. Different construction stages have different noise limits. During the decoration stage, the noise sources of the construction site noise detection data obtained are mainly cranes and elevators. If the calculated average value of the daytime noise equivalent sound level is 60, it means that the daytime noise exceeds the standard; if the maximum value of the nighttime noise is 20, it means that there is no nighttime noise exceeding the standard.

[0092] Table 1 - Construction Phases

[0093]

[0094] In this implementation, the average value of the daytime noise equivalent sound level is compared with the nighttime noise limit and the maximum noise limit, and the comparison result is used to determine whether the noise level on the construction site exceeds the standard. By calculating the noise values ​​during the day and at night separately, it is helpful to more accurately identify which periods of time have more serious noise pollution, so as to formulate noise control measures more targetedly.

[0095] Please refer to Figure 3 , Figure 3 A software architecture for implementing a remote monitoring method for construction site noise based on CIM is provided, including a data layer, a platform layer, and an application layer. The high-resolution visualization effect of the rendering engine can be used to realize the display of construction site noise management and ecological off-site remote law enforcement management on the CIM platform.

[0096] At the data layer, it mainly includes data access, data governance, data database construction and other contents. In order to realize the access and governance of various types of data and form a standardized data resource pool, three types of libraries are mainly established, namely spatial data resource library, business data resource library and Internet of Things perception data resource library to provide data support for application development. Data database construction supports a variety of relational databases, such as PostgreSQL, MySQL, Oracle and mature relational databases independently developed in China.

[0097] At the platform level, the platform is designed with a microservice architecture and supports horizontal expansion. It provides underlying technical support for CIM-based remote noise monitoring scenarios at construction sites, further eliminating data barriers. The system integrates multi-dimensional and multi-scale spatial data above and below the ground, indoors and outdoors in the city, and IoT perception data. The CIM platform uses GIS general engine, BIM lightweight engine, business middleware, high-rendering cloud service and other technologies to build a wide range of reliable application services, providing technical support for the realization of various smart applications.

[0098] At the application layer, in order to solve the problems of low visualization of noise supervision in construction sites, weak multi-dimensional data analysis capabilities, and inability to assist law enforcement decisions, the construction of BIM / CIM-based application scenarios is achieved through deep integration of business management needs, real-time monitoring data, noise algorithm data, etc. with CIM scenarios, to assist off-site supervision and remote law enforcement of ecological and environmental businesses, and ultimately build a CIM+ smart application method for remote enforcement of noise supervision at construction sites.

[0099] In this embodiment, the construction building BIM model and the project construction plan are obtained; the construction building BIM model is divided into components according to the construction stage according to the project construction plan to obtain the stage construction building model corresponding to each construction stage; the construction building BIM model is divided into components according to each construction stage through the construction organization plan of the construction site, and the BIM model can be displayed in stages according to the progress of the construction project. Obtain and calculate the noise value of the construction building model at each stage based on the construction site noise detection data; compare the noise value of the construction building model at the stage with the preset noise limit, and determine the noise exceeding the standard at the construction site corresponding to the construction building model at the stage according to the comparison result; confirm the noise exceeding the standard at each construction stage through the construction site noise detection data, and comprehensively monitor the noise of the construction site according to different construction stages.

[0100] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 4 After step S30, the CIM-based construction site noise remote monitoring method further includes steps A10 to A40:

[0101] Step A10, determining a noise sensitive area according to a preset range around the construction site;

[0102] Step A20, obtaining a BIM model of surrounding buildings corresponding to the noise sensitive area;

[0103] Step A30, splitting the surrounding building BIM model according to different floors and different walls to obtain a target surrounding building model;

[0104] In this embodiment, first, a reasonable surrounding range is preset as a noise-sensitive area based on the location, scale, type of construction activities and local regulations of the construction site. Exemplarily, the construction site sets a noise-sensitive area within a 300-meter range. Secondly, the BIM model of the surrounding buildings corresponding to the noise-sensitive area is obtained. The model should contain detailed geometric information, material information and possible acoustic properties of the building. After obtaining the BIM model of the surrounding buildings, the BIM model of the surrounding buildings is also lightweight. The specific processing method is the same as the above-mentioned lightweight processing method for the construction building BIM model, which will not be repeated here. Finally, the BIM model is split according to different floors and different walls.

[0105] In a feasible implementation, when the BIM model of each building is split according to floors by using the layering function of the BIM software, first, the layers are layered according to the floors, and identifiers for each floor are created. The identifiers can be numbers (such as "1", "2", "3", etc.), or a combination of letters and numbers, or set according to specific needs (such as: "G" for the basement, "M" for the middle floor, etc.). Secondly, filter conditions are set in the BIM software to quickly filter and display specific floors according to the floor identifiers. When it is necessary to view the model of a certain floor, the floor filtering function in the BIM software is used to display the model related to the selected floor.

[0106] In a feasible implementation, corresponding groups are defined in the BIM model according to the orientation between the building and the noise source, i.e., the building is facing the side of the sound source, the side of the building is facing the two sides of the sound source, or the back of the building is facing the side of the sound source. Using the view management function of the BIM software, separate views are created for groups with different orientations. In these views, only model elements with a specific orientation can be displayed, thereby simulating the effect of dividing the facets by orientation. When it is necessary to view or analyze the model in a certain orientation, it can be achieved by selecting the corresponding view.

[0107] Step A40, obtaining surrounding noise detection data, and calculating the noise value of the target surrounding building model according to the surrounding noise detection data and the noise space algorithm. It should be noted that the noise monitoring data is measured by a noise measuring device (such as a noise sensor), and the noise values ​​of different floors and different directions of the building in the noise sensitive area can be calculated through the noise detection data and the noise space algorithm.

[0108] In one possible implementation, please refer to Figure 5 , step A40 may include steps A41 to A43:

[0109] Step A41, determining a noise receiving point from the target surrounding building model;

[0110] Step A42, obtaining the surrounding noise detection data of the noise receiving point;

[0111] Step A43: Calculate the noise value of the target surrounding building model according to the surrounding noise detection data of the noise receiving point and the noise space algorithm.

[0112] In a feasible implementation, the calculation formula of the noise space algorithm is: Among them, Laeq is the energy average value of the A sound level within the preset measurement time T, LA is the instantaneous A sound level at time t (that is, the noise detection data received by the noise receiving point at time t), T is the measurement time period, K1 and K2 values ​​are deviation coefficients, and the specific value selection rules of K1 and K2 are shown in Tables 2 and 3.

[0113] Table 2-K1 value selection rules

[0114]

[0115] Table 3-K2 value selection rules

[0116]

[0117] In this embodiment, the BIM model of the surrounding buildings is split according to different floors and different walls. Due to the differences in height, material, orientation and other factors of different floors and walls, the noise attenuation and reflection effects will also be different. The subdivided model can more accurately reflect these differences, thereby improving the accuracy of noise assessment. It can comprehensively and accurately analyze the noise impact suffered by the buildings around the construction site.

[0118] Based on the first embodiment of the present application, in the third embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 6 The CIM-based construction site noise remote monitoring method further includes steps A50 to A70:

[0119] Step A50, associating the noise value of the target surrounding building model with the target surrounding building model;

[0120] Step A60, dividing the noise value of the target surrounding building model into range intervals, and defining different colors for each range interval;

[0121] Step A70: Rendering the target surrounding building model according to the range interval and the color corresponding to the range interval.

[0122] In this embodiment, first, the noise value of the target surrounding building model is determined, the noise data is associated with the model, and the noise value is used as an attribute of the model to realize the association of the noise data with the model. Secondly, a color mapping scheme is defined, and the noise value is divided into several intervals, each interval corresponding to a color or a color gradient range. Finally, the target surrounding building model is rendered in color using automatic coloring technology. A visualization or rendering module in the BIM software is selected, and the noise value is mapped to the corresponding color according to the defined color mapping scheme, and applied to the model to generate a colored model view.

[0123] In a feasible implementation, in the BIM (Building Information Modeling) software, different noise values ​​can also be determined based on the building material information of elements such as walls, floors, and ceilings. First, obtain the material information and determine the material information of each element (such as walls, floors, ceilings, etc.) in the building model around the target. This information usually includes the density, thickness, surface texture, porosity, etc. of the material, which have a direct impact on the reflection, absorption, and transmission characteristics of sound. Secondly, use acoustic knowledge or refer to relevant acoustic databases to analyze the acoustic properties of each material. This usually includes: Reflection coefficient: a measure of the ability of the material surface to reflect sound waves. Absorption coefficient: a measure of the proportion of sound wave energy absorbed by the material. Transmission coefficient: a measure of the ability of sound waves to penetrate the material. Finally, set the material parameters in the BIM software and input the analyzed material acoustic parameters into the BIM software.

[0124] For example, please refer to Figure 7 The noise decibel value is divided into 7 intervals: 40-45 dB, 45-50 dB, 50-55 dB, 55-60dB, 60-65 dB, 65-70 dB, and 70-75 dB. Each interval corresponds to a color gradient range. The colors corresponding to the noise values ​​from low to high are blue, green, yellow, orange, and red respectively.

[0125] In this embodiment, in BIM (Building Information Model), the noise decibel values ​​of different building materials are rendered in different colors on the model using automatic coloring technology, which can intuitively display the noise distribution inside or outside the building. The entire scene follows each acquisition cycle and noise data situation, and intuitively changes colors and visualizes them, which can provide a three-dimensional, intuitive, and fast presentation analysis for non-site enforcement of construction site noise.

[0126] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the CIM-based remote monitoring method for construction site noise of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0127] Reference below Figure 8, which shows a schematic diagram of the structure of a CIM-based remote monitoring system for construction site noise suitable for implementing the embodiment of the present application. The CIM-based remote monitoring device for construction site noise in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 8 The CIM-based construction site noise remote monitoring system shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0128] like Figure 8 As shown, the CIM-based construction site noise remote monitoring system may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM) 1004. Various programs and data required for the operation of the CIM-based construction site noise remote monitoring device are also stored in RAM 1004. The processing device 1001, ROM 1002, and RAM 1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the CIM-based construction site noise remote monitoring system to communicate wirelessly or wired with other devices to exchange data. Although the CIM-based construction site noise remote monitoring device with various systems is shown in the figure, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have alternatively.

[0129] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0130] The CIM-based construction site noise remote monitoring system provided by the present application adopts the CIM-based construction site noise remote monitoring method in the above-mentioned embodiment, which can solve the technical problem of how to monitor the noise situation at a construction site. Compared with the prior art, the beneficial effects of the CIM-based construction site noise remote monitoring device provided by the present application are the same as the beneficial effects of the CIM-based construction site noise remote monitoring method provided in the above-mentioned embodiment, and the other technical features of the CIM-based construction site noise remote monitoring system are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0131] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0132] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0133] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the CIM-based construction site noise remote monitoring method in the above-mentioned embodiment.

[0134] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM: Random Access Memory), a read-only memory (ROM: Read Only Memory), an erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM: CD-Read Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency: Radio Frequency), etc., or any suitable combination of the above.

[0135] The computer-readable storage medium may be included in the CIM-based remote monitoring device for construction site noise; or may exist independently without being assembled into the CIM-based remote monitoring device for construction site noise.

[0136] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the CIM-based remote monitoring device for construction site noise, the CIM-based remote monitoring system for construction site noise: obtains the construction building BIM model and the project construction plan; according to the project construction plan, divides the construction building BIM model into components according to the construction stage to obtain the stage construction building model corresponding to each construction stage; obtains and calculates the noise value of each stage construction building model based on the construction site noise detection data; compares the noise value of the stage construction building model with the preset noise limit, and determines, based on the comparison result, whether the noise on the construction site corresponding to the stage construction building model exceeds the standard.

[0137] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0138] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0139] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0140] The readable storage medium provided in the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned CIM-based remote monitoring method for construction site noise, and can solve the technical problem of how to monitor the noise situation at a construction site. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in the present application are the same as the beneficial effects of the CIM-based remote monitoring method for construction site noise provided in the above-mentioned embodiment, and will not be elaborated here.

[0141] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned CIM-based construction site noise remote monitoring method when executed by a processor.

[0142] The computer program product provided in this application can solve the technical problem of how to monitor the noise conditions at a construction site. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the remote monitoring method for construction site noise based on CIM provided in the above embodiment, and will not be elaborated here.

[0143] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A remote monitoring method for construction site noise based on CIM, characterized in that: The method includes: Obtain construction building BIM models and project construction plans; According to the project construction plan, the construction building BIM model is split into components according to the construction stages to obtain the stage construction building models corresponding to each construction stage; Obtaining and calculating the noise value of the construction building model at each stage according to the construction site noise detection data; Comparing the noise value of the building model under construction at the stage with the preset noise limit, and determining, based on the comparison result, whether the noise on the construction site corresponding to the building model under construction at the stage exceeds the limit; Determine noise-sensitive areas based on the preset perimeter of the construction site; Acquire a BIM model of a surrounding building corresponding to the noise-sensitive area, and perform lightweight processing on the BIM model of the surrounding building, wherein the BIM model of the surrounding building includes geometric information, material information, and acoustic properties; According to different floors and different walls, the lightweight BIM model of the surrounding buildings is split to obtain the target surrounding building model; Acquire surrounding noise detection data, and calculate the noise value of the target surrounding building model according to the surrounding noise detection data and the noise space algorithm. The calculation formula of the noise space algorithm is: Wherein, Laeq is the energy average value of the A sound level within the preset measurement time T, LA is the instantaneous A sound level at time t, T is the measurement time period, and K1 and K2 are deviation coefficients; Associating the noise value of the target surrounding building model with the target surrounding building model; Dividing the noise value of the target surrounding building model into range intervals, and defining different colors for each range interval; The target surrounding building model is rendered in color according to the range interval and the color corresponding to the range interval.

2. The method according to claim 1, characterized in that The step of obtaining and calculating the noise value of the construction building model at each stage according to the construction site noise detection data comprises: Calculate the average value of the daytime noise equivalent sound level according to the construction site noise detection data; If the average value of the daytime noise equivalent sound level is greater than or equal to the daytime noise limit, it is determined that the daytime noise on the construction site exceeds the limit; Calculate the maximum noise value at night based on the construction site noise detection data; If the maximum nighttime noise value is greater than or equal to the nighttime noise limit value, it is determined that the nighttime noise exceeds the limit value at the construction site.

3. The method according to claim 2, characterized in that The step of calculating the average value of the daytime noise equivalent sound level according to the construction site noise detection data comprises: Determine the sampling time and sampling period; Acquire the construction site noise detection data at each sampling moment according to the sampling moment and the sampling period; The average value of the daytime noise equivalent sound level is calculated according to the construction site noise detection data at each of the sampling moments.

4. The method according to claim 1, characterized in that The step of acquiring surrounding noise detection data and calculating the noise value of the target surrounding building model according to the surrounding noise detection data and a noise space algorithm comprises: Determine a noise receiving point from the target surrounding building model; Acquire the surrounding noise detection data of the noise receiving point; The noise value of the target surrounding building model is calculated according to the surrounding noise detection data of the noise receiving point and a noise space algorithm.

5. A remote monitoring system for construction site noise based on CIM, characterized in that: The system comprises: a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the CIM-based construction site noise remote monitoring method as claimed in any one of claims 1 to 4.

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