An intelligent construction project operation and maintenance management platform and method

Abstract

The present invention discloses an intelligent construction project operation and maintenance management platform and method, which relates to the technical field of intelligent construction projects. The present invention includes: a shopping mall information acquisition module, a shopping mall noise assessment module, a shopping mall noise processing module, a display terminal, and a database. The present invention determines the noise abnormality solution types of each noise-abnormal sub-region in the shopping mall, classifies and processes equipment noise and human flow noise, effectively ensures the rationality of the noise processing method in the shopping mall, improves the quality of noise processing, improves customer satisfaction, ensures the proportion of repeat customers, and avoids health problems such as hearing loss, increased stress, and sleep disorders among employees. The present invention generates group labels for noise-abnormal sub-regions inside the shopping mall, analyzes the urgency of noise processing in each region of the shopping mall, ensures the rationality of the order of noise processing in each region of the shopping mall, optimizes the balance of noise inside the shopping mall, and improves the efficiency of noise processing in the shopping mall.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent construction engineering, and specifically relates to an intelligent construction engineering operation and maintenance management platform and method. Background Art

[0002] With the rapid development of technology, intelligent construction has gradually become an important trend in the construction industry. From design, construction to later operation and maintenance management, the integration of intelligent technologies has brought revolutionary changes to the traditional construction industry. Especially in the engineering operation and maintenance stage, the importance and necessity of intelligent management are becoming increasingly prominent. It not only concerns the service life and safety performance of buildings, but also relates to the optimization of energy efficiency and economic benefits. During the operation of a shopping mall, there are usually problems of abnormal noise. If not dealt with in time, it will affect the normal communication and experience of customers. Therefore, it is extremely necessary to manage the noise in the shopping mall.

[0003] The prior art, such as an invention patent application with the publication number of CN113516449B, discloses an information processing method and device for reducing building noise. The method includes: obtaining a first building noise source. Obtaining the volume information of the first building noise source. Obtaining the location information of the first building noise source. Obtaining a predetermined area according to the volume information and the location information of the first building noise source. Obtaining the first user information within the predetermined area. Obtaining the work and rest pattern information of the first user information. Classifying the volume information of the first building noise source according to the volume size to obtain a first noise level and a second noise level. Obtaining the first construction time information of the first noise level and the second construction time information of the second noise level according to the work and rest pattern information of the first user information. It solves the impact of building noise during construction on people's work, study and life.

[0004] Combined with the above solutions, it can be found that in the prior art, on the one hand, there is rarely a specific analysis and specific treatment of the reasons for the noise easily generated in the shopping mall. The noise inside the shopping mall is mainly divided into equipment noise and human flow noise. Targeted classification and treatment of equipment noise and human flow noise can effectively ensure the rationality of the noise treatment method in the shopping mall. The neglect of this aspect in the prior art is difficult to ensure the rationality of the noise treatment method in the shopping mall, thereby reducing the quality of noise treatment, lowering customer satisfaction, affecting the proportion of repeat customers, and causing health problems such as hearing loss, increased stress, and sleep disorders for employees. On the other hand, there is also a lack of attention to the urgency of noise treatment in each area of the shopping mall. For example, the urgency is high in areas with a large number of people and narrow aisles. Therefore, it is difficult to ensure the order of noise treatment in each area of the shopping mall, difficult to optimize the balance of noise in the shopping mall, and reduce the efficiency of noise treatment in the shopping mall. Summary of the Invention

[0005] The object of the present invention is to provide an intelligent construction project operation and maintenance management platform and method, which solves the problems existing in the background technology.

[0006] To solve the above technical problems, the present invention adopts the following technical solutions: In the first aspect of the present invention, an intelligent construction project operation and maintenance management platform is provided, including: a mall information acquisition module, which is used to divide the interior of the mall into regions, obtain several sub-regions on each floor inside the mall, and acquire the internal noise information and external noise information of the mall.

[0007] A mall noise assessment module, which assesses the noise anomaly parameters inside the mall according to the internal noise information of the mall.

[0008] A mall noise processing module, which assesses the noise anomaly solutions inside the mall according to the noise anomaly parameters inside the mall, and assesses the noise anomaly solutions outside the mall according to the external noise information of the mall.

[0009] A display terminal, which displays the noise anomaly solutions inside the mall and the noise anomaly solutions outside the mall.

[0010] In the second aspect of the present invention, a method for implementing the intelligent construction project operation and maintenance management platform according to any one of the present invention is provided, including: S1. Divide the interior of the mall into regions, obtain several sub-regions on each floor inside the mall, and acquire the internal noise information and external noise information of the mall.

[0011] S2. Assess the noise anomaly parameters inside the mall according to the internal noise information of the mall.

[0012] S3. Assess the noise anomaly solutions inside the mall according to the noise anomaly parameters inside the mall, and assess the noise anomaly solutions outside the mall according to the external noise information of the mall.

[0013] S4. Display the noise anomaly solutions inside the mall and the noise anomaly solutions outside the mall.

[0014] The beneficial effects of the present invention are as follows: (1) The present invention acquires the internal noise information and external noise information of the mall in the mall information acquisition module, laying a foundation for subsequent mall noise assessment.

[0015] (2) In the mall noise assessment module of the present invention, according to the internal noise information of the mall, first, based on the overall decibel value of the internal sub-regions of the mall, each noise anomaly sub-region inside the mall is screened, thereby providing data support for the subsequent assessment of the noise anomaly solutions inside the mall.

[0016] (3) In the mall noise processing module of the present invention, according to each noise abnormal sub-region inside the mall and in combination with the internal noise information of the mall, the noise abnormal solution type of each noise abnormal sub-region in the mall is first determined, and then it is analyzed whether it is the equipment control method or the method of adding sound-absorbing materials in a targeted manner, so as to classify and process the equipment noise and the crowd noise, effectively ensuring the rationality of the noise processing method in the mall, improving the quality of noise processing, enhancing customer satisfaction, ensuring the proportion of repeat customers, and avoiding health problems such as hearing loss, increased stress, and sleep disorders for employees.

[0017] (4) In the mall noise processing module of the present invention, a group label of noise abnormal sub-regions inside the mall is generated, and the urgency of noise processing in each region in the mall is analyzed to ensure the rationality of the order of noise processing in each region in the mall, optimize the balance of noise in the mall, and improve the efficiency of noise processing in the mall.

[0018] (5) In the mall noise processing module of the present invention, the noise abnormal solution outside the mall is also analyzed, which not only reduces the internal noise of the mall but also effectively blocks the propagation of external noise of the mall. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0020] Figure 1 It is a schematic diagram of the system structure connection of the present invention.

[0021] Figure 2 It is a flowchart of the method of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0023] Referring to Figure 1 As shown, the present invention provides an intelligent construction project operation and maintenance management platform, including: a mall information acquisition module, a mall noise assessment module, a mall noise processing module, and a display terminal.

[0024] It should be noted that the present invention further includes a database for storing the internal appropriate decibel values of the mall, the decibel anomaly ratio coefficient threshold, the decibel thresholds of each device, the decibel thresholds of each replacement device corresponding to each device, the adjusted decibel parameters, the noise risk index intervals corresponding to each sound-absorbing material, the additional sound-absorbing area and sound-absorbing thickness corresponding to the reference noise risk index, the additional sound-absorbing area corresponding to the unit increased noise risk index, the reduced sound-absorbing area corresponding to the unit reduced noise risk index, the additional greening area corresponding to the unit increased noise risk index, and the reduced greening area corresponding to the unit reduced noise risk index.

[0025] It should also be noted that the mall information acquisition module is connected to the mall noise assessment module, the mall noise assessment module is connected to the mall noise processing module, the mall noise processing module is connected to the display terminal, and the database is respectively connected to the mall noise assessment module and the mall noise processing module.

[0026] The mall information acquisition module is used to divide the interior of the mall by area to obtain several sub-areas on each floor of the interior of the mall, and acquire the internal noise information and external noise information of the mall.

[0027] In a specific embodiment of the present invention, the internal noise information includes the overall decibel value, the number of people, the average residence time per person, and the average decibel value of each associated device in each sub-area of each floor during each detection period.

[0028] It should be noted that the overall decibel value of each sub-area of each floor of the mall is obtained through the mall's noise online monitoring system. The mall's noise online monitoring system is used to monitor the decibel value of each sub-area of each floor of the mall in real time, and monitor the decibel value of the storage devices in each sub-area of each floor in real time. The storage devices are the above-mentioned associated devices.

[0029] It should also be noted that the number of people and the average residence time per person in each sub-area of each floor of the mall are obtained through the mall's monitoring system.

[0030] The external noise information includes the overall decibel value of each detection area during each detection period.

[0031] It should be noted that each detection area of the mall is specifically obtained by taking the floor center point of the mall as the origin according to the area planning map of the mall, and evenly planning the mall into several fan-shaped areas according to the set radius and detection distance, and intercepting the fan-shaped part between the outer contour of the mall and the origin in combination with the outer contour of the mall.

[0032] It should also be added that the set radius and detection distance are specifically set according to the mall managers. For example, in order to improve the accuracy of external noise detection in the mall, the set radius can be set smaller or the detection distance can be set longer, aiming to increase the number of detection areas or extend the length of the detection areas, so that the subsequent analysis of the detection areas is more accurate.

[0033] It should be understood that the overall decibel values of each detection area in the mall at each detection time period are obtained through the traffic management platform.

[0034] In the mall information acquisition module of the present invention, the internal noise information and external noise information of the mall are obtained, laying a foundation for subsequent mall noise assessment.

[0035] The mall noise assessment module evaluates the noise abnormality parameters inside the mall according to the internal noise information of the mall.

[0036] In a specific embodiment of the present invention, the method for specifically evaluating the noise abnormality parameters inside the mall is as follows: extract the overall decibel values of each sub - area on each floor at each detection time period from the internal noise information of the mall, and compare them with the internal appropriate decibel values stored in the database. If the overall decibel value of a certain sub - area on a certain floor at a certain detection time period in the mall is greater than the internal appropriate decibel value, then record this detection time period as a decibel abnormality detection time period, and screen out the decibel abnormality detection time periods of each sub - area on each floor in the mall.

[0037] Count the number of decibel abnormality detection time periods and the number of detection time periods of each sub - area on each floor in the mall, and divide the number of decibel abnormality detection time periods of each sub - area on each floor in the mall by the number of detection time periods to obtain the decibel abnormality ratio coefficient of each sub - area on each floor in the mall.

[0038] Compare the decibel abnormality ratio coefficient of each sub - area on each floor in the mall with the decibel abnormality ratio coefficient threshold stored in the database. If the decibel abnormality ratio coefficient of a certain sub - area is greater than or equal to the decibel abnormality ratio coefficient threshold, then record this sub - area as a noise abnormality sub - area, screen out each noise abnormality sub - area inside the mall, and use it as the noise abnormality parameter inside the mall.

[0039] In the mall noise assessment module of the present invention, according to the internal noise information of the mall, first, based on the overall decibel values of the internal sub - areas of the mall, each noise abnormality sub - area inside the mall is screened, thus providing data support for the subsequent evaluation of the noise abnormality solution inside the mall.

[0040] The mall noise processing module evaluates the noise abnormality solution inside the mall according to the noise abnormality parameter inside the mall, and evaluates the noise abnormality solution outside the mall according to the external noise information of the mall.

[0041] In a specific embodiment of the present invention, for the solution to evaluate the abnormal noise inside the mall, the specific evaluation method is as follows: Based on each abnormal noise sub-region inside the mall, combined with the overall decibel value, the number of people flow, the average residence time per person, and the average decibel value of each associated device in each sub-region on each floor of the mall, obtain the number of people flow, the average residence time per person, and the average decibel value of each associated device in each abnormal noise sub-region inside the mall, determine the type of solution for abnormal noise in each abnormal noise sub-region inside the mall, where the type of solution for abnormal noise is equipment noise control and adding sound-absorbing materials, and generate a group label for the abnormal noise sub-regions inside the mall.

[0042] If the type of solution for an abnormal noise sub-region inside the mall is equipment noise control, then evaluate each noise control device and noise control method in this abnormal noise sub-region inside the mall to obtain a treatment plan for this abnormal noise sub-region inside the mall.

[0043] If the type of solution for an abnormal noise sub-region inside the mall is adding sound-absorbing materials, then evaluate the suitable area and thickness of the sound-absorbing materials to be added in this abnormal noise sub-region inside the mall to obtain a treatment plan for this abnormal noise sub-region inside the mall.

[0044] Summarize the treatment plans for each abnormal noise sub-region inside the mall, and based on the group label of the abnormal noise sub-regions inside the mall, summarize to obtain a solution for abnormal noise inside the mall.

[0045] In the mall noise processing module of the present invention, according to each abnormal noise sub-region inside the mall and combined with the internal noise information of the mall, first determine the type of solution for abnormal noise in each abnormal noise sub-region of the mall, so as to conduct targeted analysis on whether it is an equipment control method or an adding sound-absorbing materials method, classify and process equipment noise and people flow noise, effectively ensure the rationality of the mall's noise treatment method, improve the quality of noise treatment, improve customer satisfaction, ensure the proportion of repeat customers, and avoid health problems such as hearing loss, increased stress, and sleep disorders for employees.

[0046] In a specific embodiment of the present invention, the method for determining the noise anomaly solution type of each noise anomaly sub-region inside the mall is as follows: Compare the average decibel values of each associated device in each noise anomaly sub-region of the mall during each detection period with the decibel thresholds of each device stored in the database. If the average decibel values of all associated devices in each detection period are less than the decibel thresholds of the corresponding devices in the database, then compare them again with the decibel thresholds of each replacement device corresponding to each device stored in the database. If the average decibel values of all associated devices in each detection period are less than the decibel thresholds of the corresponding replacement devices, then determine that the noise anomaly solution type of this noise anomaly sub-region inside the mall is to add sound-absorbing materials; otherwise, determine that the noise anomaly solution type of this noise anomaly sub-region inside the mall is equipment noise control.

[0047] In a specific embodiment of the present invention, the method for generating the group labels of the noise anomaly sub-regions inside the mall is as follows: Based on the number of people flow R i and the average stay time per person M i in each noise anomaly sub-region inside the mall, and obtain the turnover T i , the number of noise anomaly complaints H i , the passage area S i of each noise anomaly sub-region inside the mall from the mall operation background. After numerical processing, obtain the processing emergency index ε _0i of each noise anomaly sub-region inside the mall, where i is the number of each noise anomaly sub-region, i = 1, 2,..., n, and n is any integer greater than 2.

[0048] Obtain the overall decibel value F im of each noise anomaly sub-region inside the mall during each detection period. Combine it with the internal appropriate decibel value of the mall, and through the noise risk index model output the noise risk index ε _1i of each noise anomaly sub-region inside the mall, where F′ is the internal appropriate decibel value of the mall, m is the number of each detection period, m = 1, 2,..., l, l is any integer greater than 2, l is the number of detection periods, and F i(m-1) is the overall decibel value of the i-th noise anomaly sub-region inside the mall during the (m - 1)-th detection period.

[0049] If (ε _0i ≥ ε′ _0 ) ∧ (ε _1i ≥ ε′ _1 ), then mark this noise anomaly sub-region as a noise anomaly sub-region first-class area label, where ∧ is the logical symbol AND.

[0050] If Then mark the noise abnormal sub-region as the second-class region label of the noise abnormal sub-region, where ∨ is the logical symbol "or".

[0051] If (ε _0i <ε′ _0 ) ∧ (ε _1i <ε′ _1 ), then mark the noise abnormal sub-region as the third-class region label of the noise abnormal sub-region.

[0052] Summarize to obtain the first-class group label of the noise abnormal sub-region inside the mall, the second-class group label of the noise abnormal sub-region, and the third-class group label of the noise abnormal sub-region.

[0053] It should be noted that the first-class group label of the noise abnormal sub-region, the second-class group label of the noise abnormal sub-region, and the third-class group label of the noise abnormal sub-region, where the importance of the first-class group label of the noise abnormal sub-region is greater than that of the second-class group label of the noise abnormal sub-region, and the importance of the second-class group label of the noise abnormal sub-region is greater than that of the third-class group label of the noise abnormal sub-region. That is to say, the noise abnormal sub-regions in the first-class group label of the noise abnormal sub-region are more affected by noise abnormalities, while the noise abnormal sub-regions in the third-class group label of the noise abnormal sub-region are less affected by noise abnormalities. When subsequently dealing with the internal noise of the mall, the noise abnormal sub-regions in the first-class label of the noise abnormal sub-region can be preferentially processed to reduce the impact of noise on the normal operation of the mall.

[0054] The present invention generates the group label of the noise abnormal sub-region inside the mall in the mall noise processing module, analyzes the urgency of noise processing for each region in the mall, ensures the rationality of the order of noise processing for each region in the mall, optimizes the balance of noise in the mall, and improves the efficiency of noise processing in the mall.

[0055] In a specific embodiment of the present invention, the specific evaluation method for evaluating each noise control device and noise control method in the noise abnormal sub-region inside the mall is as follows: Obtain the average decibel value of each associated device in the noise abnormal sub-region inside the mall during each detection period, perform mean processing on it to obtain the average decibel value of each associated device in the noise abnormal sub-region inside the mall. If the average decibel value of a certain associated device is greater than the decibel threshold corresponding to this associated device stored in the database, then mark this associated device as a noise control device. Based on the decibel thresholds of each replacement device corresponding to each device stored in the database, obtain the decibel thresholds of each replacement device corresponding to the noise control device, and subtract the decibel thresholds of each replacement device from the average decibel value of the noise control device to obtain the decibel difference between the noise control device and each replacement device. If the decibel difference between the noise control device and a certain replacement device is greater than or equal to the adjusted decibel parameter stored in the database, then mark the noise control method of the noise control device as the replacement method, and mark this replacement device as the target device of the noise control device. Otherwise, mark the noise control method of the noise control device as the external interference method, and install a silencer.

[0056] In a specific embodiment of the present invention, the specific evaluation method for evaluating the suitable additional sound-absorbing material, the suitable additional sound-absorbing area, and the sound-absorbing thickness in the noise abnormal sub-region inside the mall is as follows: Based on the noise risk index ε of each noise abnormal sub-region inside the mall _1i , obtain the noise risk index range corresponding to each sound-absorbing material, the additional sound-absorbing area and sound-absorbing thickness corresponding to the reference noise risk index from the database, and screen the suitable additional sound-absorbing material and the additional sound-absorbing area SI' and sound-absorbing thickness corresponding to its reference noise risk index εi in each noise abnormal sub-region inside the mall.

[0057] Through the suitable additional sound-absorbing area model, output the suitable additional sound-absorbing area of the noise abnormal sub-region inside the mall where SI represents the suitable additional sound-absorbing area of the noise abnormal sub-region inside the mall, εu is the noise risk index of the noise abnormal sub-region inside the mall, SI _0 、SI _1 are respectively the additional sound-absorbing area corresponding to the unit increased noise risk index and the reduced sound-absorbing area corresponding to the unit reduced noise risk index stored in the database.

[0058] After similar processing, output the suitable additional sound-absorbing thickness of the noise abnormal sub-region inside the mall.

[0059] In a specific embodiment of the present invention, for evaluating the noise anomaly solution outside the shopping mall based on the external noise information of the shopping mall, the specific evaluation method is as follows: Extract the overall decibel value of each detection area in each detection period from the external noise information of the shopping mall, and divide it by the external decibel threshold stored in the database after averaging to obtain the noise anomaly coefficient μ of each detection area in the shopping mall. p , where p is the number of each detection area, p = 1, 2,..., q, and q is any integer greater than 2.

[0060] Through the appropriate greening area evaluation model Output the appropriate greening area SV of each detection area in the shopping mall p , where SV′ is the greening area corresponding to the reference noise anomaly coefficient μ′, and SV _0 , SV _1 are respectively the increased greening area corresponding to the unit increased noise risk index and the reduced greening area corresponding to the unit reduced noise risk index stored in the database.

[0061] Summarize the appropriate greening areas of each detection area in the shopping mall to obtain the noise anomaly solution outside the shopping mall.

[0062] In the shopping mall noise processing module of the present invention, the noise anomaly solution outside the shopping mall is also analyzed, which not only reduces the internal noise of the shopping mall but also effectively blocks the propagation of the external noise of the shopping mall.

[0063] The display terminal displays the noise anomaly solution inside the shopping mall and the noise anomaly solution outside the shopping mall.

[0064] Refer to Figure 2 As shown, the second aspect of the present invention provides a method for implementing the intelligent construction project operation and maintenance management platform according to any one of the present invention, including: S1. Divide the inside of the shopping mall into regions to obtain several sub-regions on each floor inside the shopping mall, and obtain the internal noise information and external noise information of the shopping mall.

[0065] S2. Evaluate the noise anomaly parameters inside the shopping mall according to the internal noise information of the shopping mall.

[0066] S3. Evaluate the noise anomaly solution inside the shopping mall according to the noise anomaly parameters inside the shopping mall, and evaluate the noise anomaly solution outside the shopping mall according to the external noise information of the shopping mall.

[0067] S4. Display the noise anomaly solution inside the shopping mall and the noise anomaly solution outside the shopping mall.

[0068] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods for substitution, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. An intelligent construction project operation and maintenance management platform, characterized in that Including: A shopping mall information acquisition module, which is used to divide the interior of the shopping mall by area to obtain several sub-areas on each floor inside the shopping mall, and acquire the internal noise information and external noise information of the shopping mall; The internal noise information includes the overall decibel value, the number of people, the average stay time per person, and the average decibel value of each associated device in each sub-area on each floor during each detection period; The external noise information includes the overall decibel value in each detection area during each detection period; A shopping mall noise assessment module, which assesses the noise anomaly parameters inside the shopping mall according to the internal noise information of the shopping mall; The specific assessment method for the noise anomaly parameters inside the shopping mall is as follows: Extract the overall decibel value of each sub-area on each floor in each detection period from the internal noise information of the shopping mall, and compare it with the appropriate internal decibel value of the shopping mall stored in the database to screen out the abnormal decibel detection periods of each sub-area on each floor of the shopping mall; Count the number of abnormal decibel detection periods and the number of detection periods of each sub-area on each floor of the shopping mall, and divide the number of abnormal decibel detection periods of each sub-area on each floor of the shopping mall by the number of detection periods to obtain the decibel anomaly ratio coefficient of each sub-area on each floor of the shopping mall; Compare the decibel anomaly ratio coefficient of each sub-area on each floor of the shopping mall with the decibel anomaly ratio coefficient threshold stored in the database. If the decibel anomaly ratio coefficient of a certain sub-area is greater than or equal to the decibel anomaly ratio coefficient threshold, mark this sub-area as a noise abnormal sub-area, screen out each noise abnormal sub-area inside the shopping mall, and use it as the noise anomaly parameter inside the shopping mall; A shopping mall noise processing module, which assesses the noise anomaly solutions inside the shopping mall according to the noise anomaly parameters inside the shopping mall, and assesses the noise anomaly solutions outside the shopping mall according to the external noise information of the shopping mall; The specific assessment method for the noise anomaly solutions inside the shopping mall is as follows: Based on each noise abnormal sub-area inside the shopping mall, combined with the overall decibel value, the number of people, the average stay time per person, and the average decibel value of each associated device in each sub-area on each floor of the shopping mall, obtain the number of people, the average stay time per person, and the average decibel value of each associated device in each noise abnormal sub-area inside the shopping mall, judge the noise anomaly solution type of each noise abnormal sub-area inside the shopping mall, where the noise anomaly solution type is equipment noise control and adding sound absorption materials, and generate a group label for the noise abnormal sub-areas inside the shopping mall; If the anomaly solution type of a certain noise abnormal sub-area inside the shopping mall is equipment noise control, then evaluate each noise control device and noise control method of this noise abnormal sub-area inside the shopping mall to obtain the treatment plan for this noise abnormal sub-area inside the shopping mall; If the anomaly solution type of a certain noise abnormal sub-area inside the shopping mall is adding sound absorption materials, then evaluate the appropriate sound absorption materials, the appropriate added sound absorption area and the sound absorption thickness to be added to this noise abnormal sub-area inside the shopping mall to obtain the treatment plan for this noise abnormal sub-area inside the shopping mall; Summarize the treatment plans of each noise abnormal sub-area inside the shopping mall, and based on the group label of the noise abnormal sub-areas inside the shopping mall, summarize to obtain the noise anomaly solution inside the shopping mall; Evaluating a noise anomaly solution outside the mall based on the external noise information of the mall, the specific evaluation method is as follows: Extract the overall decibel value of each detection area in each detection period from the external noise information of the shopping mall, and divide it by the external decibel threshold stored in the database after averaging to obtain the noise anomaly coefficient μ of each detection area of the shopping mall p , where p is the number of each detection area, p = 1, 2,..., q, and q is any integer greater than 2; Appropriate greening area assessment model Output the appropriate greening area SV of each detection area of the shopping mall p , where SV′ is the greening area corresponding to the reference noise anomaly coefficient μ′, and SV _0 , SV _1 are the increased greening area corresponding to the unit added noise risk index and the reduced greening area corresponding to the unit reduced noise risk index stored in the database respectively; Summarize the suitable greening areas of each detection area in the mall to obtain a noise anomaly solution outside the mall; A display terminal displays the noise anomaly solution inside the mall and the noise anomaly solution outside the mall.

2. The intelligent construction project operation and maintenance management platform according to claim 1, characterized in that, Judging the noise anomaly solution types of each noise anomaly sub-area inside the mall, the specific judgment method is as follows: Compare the average decibel values of each associated device in each noise anomaly sub-area of the mall at each detection time period with the decibel thresholds of each device stored in the database. If the average decibel values of all associated devices at each detection time period are less than the decibel thresholds of the corresponding devices in the database, then compare them again with the decibel thresholds of each replacement device corresponding to each device stored in the database. If the average decibel values of all associated devices at each detection time period are less than the decibel thresholds of the corresponding replacement devices, then judge that the noise anomaly solution type of this noise anomaly sub-area inside the mall is to add sound-absorbing materials; otherwise, judge that the noise anomaly solution type of this noise anomaly sub-area inside the mall is equipment noise control.

3. An intelligent construction project operation and maintenance management platform according to claim 1, characterized in that Generating a group label for the noise anomaly sub-areas inside the mall, the specific generation method is as follows: Based on the number of people flow R in each abnormal noise sub - area inside the mall i and the average stay duration M per person i , and obtain the turnover T of each abnormal noise sub - area inside the mall from the mall operation background i , the number of abnormal noise complaints H i , the passage area S i . After numerical processing, the processing emergency index ε of each abnormal noise sub - area inside the mall is obtained _0i , where where i is the number of each abnormal noise sub - area, i = 1, 2,..., n, and n is any integer greater than 2; Obtain the overall decibel value F of each noise-abnormal sub-region inside the mall during each detection period im , combined with the appropriate decibel value inside the mall, through the noise risk index model Output the noise risk index ε of each noise-abnormal sub-region inside the mall _1i , F′ is the appropriate decibel value inside the mall, m is the number of each detection period, m = 1, 2,..., l, l is any integer greater than 2, l is the number of detection periods, F i(m-1) is the overall decibel value of the i-th noise-abnormal sub-region inside the mall during the (m - 1)-th detection period; If (ε _0i ≥ ε′ _0 ) ∧ (ε _1i ≥ ε′ _1 ), then mark this noise abnormal sub-region as the noise abnormal sub-region type I region label, where ∧ is a logical symbol and; If [(ε _0i ≥ε′ _0 ) ∧ (ε _1i <ε′ _1 )] ∨ (ε _0i <ε′ _0 ) ∧ (ε _1i ≥ε′ _1 ), then mark this noise abnormal sub-region as the second-class region label of the noise abnormal sub-region, where ∨ is the logical symbol "or"; If (ε _0i <ε′ _0 ) ∧ (ε _1i <ε′ _1 ), then mark this sub-region with abnormal noise as the label of the three types of sub-regions with abnormal noise; Summarize to obtain a group label of the first type of noise anomaly sub-areas inside the mall, a group label of the second type of noise anomaly sub-areas, and a group label of the third type of noise anomaly sub-areas.

4. An intelligent construction project operation and maintenance management platform according to claim 1, characterized in that, Evaluating each noise control device and noise control method for this noise anomaly sub-area inside the mall, the specific evaluation method is as follows: Obtain the average decibel values of each associated device in this noise anomaly sub-area inside the mall at each detection time period, and perform mean processing on them to obtain the average decibel values of each associated device in this noise anomaly sub-area inside the mall. If the average decibel value of a certain associated device is greater than the decibel threshold of the corresponding device stored in the database, then mark this associated device as a noise control device. Based on the decibel thresholds of each replacement device corresponding to each device stored in the database, obtain the decibel thresholds of each replacement device corresponding to the noise control device, and subtract the decibel threshold of each replacement device from the average decibel value of the noise control device to obtain the decibel difference between the noise control device and each replacement device. If the decibel difference between the noise control device and a certain replacement device is greater than or equal to the adjusted decibel parameter stored in the database, then mark the noise control method of the noise control device as the replacement method, and mark this replacement device as the target device of the noise control device; otherwise, mark the noise control method of the noise control device as the external interference method and install a muffler.

5. An intelligent construction project operation and maintenance management platform according to claim 1, characterized in that, Evaluating the suitable sound-absorbing materials, suitable sound-absorbing area, and sound-absorbing thickness to be added for this noise anomaly sub-area inside the mall, the specific evaluation method is as follows: Based on the noise risk index ε of each abnormal noise sub-region inside the mall _1i , obtain the noise risk index range corresponding to each sound-absorbing material, the additional sound-absorbing area and sound-absorbing thickness corresponding to the reference noise risk index from the database, and screen the suitable sound-absorbing materials to be additionally installed in each abnormal noise sub-region inside the mall and the additional sound-absorbing area SI' and sound-absorbing thickness corresponding to its reference noise risk index εi; By appropriately adding an acoustic absorption area model, the appropriate additional acoustic absorption area of the abnormal noise sub-region inside the shopping mall is output where SI represents the appropriate additional acoustic absorption area of the abnormal noise sub-region inside the shopping mall, εu is the noise risk index of the abnormal noise sub-region inside the shopping mall, SI _0 and SI _1 are the additional acoustic absorption area corresponding to the unit increased noise risk index and the reduced acoustic absorption area corresponding to the unit reduced noise risk index stored in the database respectively; After similar processing, output the suitable sound-absorbing thickness to be added for this noise anomaly sub-area inside the mall.

6. A method for implementing the intelligent construction project operation and maintenance management platform according to any one of claims 1-5, characterized in that, Including: S1. Divide the inside of the mall by area to obtain several sub-areas on each floor inside the mall, and obtain the internal noise information and external noise information of the mall; S2. Evaluate the noise anomaly parameters inside the mall according to the internal noise information of the mall; S3. Evaluate the noise anomaly solutions inside the mall based on the noise anomaly parameters inside the mall, and evaluate the noise anomaly solutions outside the mall based on the external noise information of the mall; S4. Display the noise anomaly solutions inside the mall and the noise anomaly solutions outside the mall.

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