Intelligent building remote operation and maintenance system based on data cloud platform

Abstract

The invention relates to the technical field of intelligent building operation and maintenance, and provides an intelligent building remote operation and maintenance system based on a data cloud platform, and the system comprises user information collection equipment which is used for collecting household information of each household in a building and uploading the household information to the data cloud platform; the volume detection devices are respectively arranged outside and inside each house; the edge computing device is used for comparing the volume value outside each door with the volume value inside the corresponding door, and uploading the volume value inside the door to the data cloud platform when the volume value inside the door is smaller than the volume value outside the door; the data cloud platform is used for generating a resident portrait of each resident based on the resident information of each resident; generating a volume sensitivity value of each resident based on the resident portrait of each resident; judging whether the indoor volume value is greater than the volume sensitivity value of the corresponding resident; if yes, the user number is displayed. Compared with an existing method, the method is more refined and intelligent, and high-quality building operation and maintenance service can be provided for residents.

Description

Technical Field

[0001] The present application relates to the field of intelligent building operation and maintenance technology, and in particular to an intelligent building remote operation and maintenance system based on a data cloud platform. Background Art

[0002] Smart building remote operation systems leverage modern information technology to remotely monitor and manage building equipment and systems. They offer functions such as remote monitoring, equipment management, and energy management. However, current research on smart building remote operation systems primarily focuses on monitoring and managing central air conditioning systems, heating systems, ventilation systems, elevator systems, smoke control and exhaust systems, fire protection systems, lighting systems, sewage systems, domestic water systems, security systems, and energy management systems. Intelligent analysis, monitoring, and management of the impact of noise on residents is lacking. Current noise monitoring and management typically involves monitoring ambient noise levels and sending a notification to property management terminals when the noise exceeds a preset threshold. However, this crude, unintelligent approach fails to provide high-quality operation and maintenance services to residents. Summary of the Invention

[0003] In response to the above technical problems, the purpose of this application is to provide an intelligent building remote operation and maintenance system, system, equipment and storage medium based on a data cloud platform, aiming to solve the technical problems that existing practices are rough, not smart enough, and cannot provide residents with high-quality building operation and maintenance services.

[0004] In a first aspect, an embodiment of the present application provides a remote operation and maintenance system for an intelligent building based on a data cloud platform, comprising: User information collection equipment, used to collect household information of each household in the building and upload the household information of each household to the data cloud platform; Volume detection devices; wherein the volume detection devices are installed outside the doors of each household and inside each household, and the volume detection devices are used to upload the detected volume values ​​to the edge computing device; The edge computing device is used to compare the volume value outside each household with the volume value inside the corresponding household. When the volume value inside the household is lower than the volume value outside the door, the volume value inside the household is uploaded to the data cloud platform. The data cloud platform is used to generate a household portrait for each household based on the household information of each household; generate a volume sensitivity value for each household based on the household portrait; determine whether the volume value inside the household is greater than the volume sensitivity value of the corresponding household; if so, send the household number to the monitoring display screen via the network for display.

[0005] Furthermore, the edge computing device is also used to: Generate a building volume distribution map based on the building map and the volume values ​​outside each household door; Analyzing the noise source orientation corresponding to each noise-affected household based on the building volume distribution map; wherein the noise-affected household meets the following conditions: the volume value inside the household is less than the volume value outside the door and the volume value inside the household is greater than the volume sensitivity value of the corresponding resident; Each household affected by noise is bound to its corresponding noise source location and output to the display screen for display.

[0006] Furthermore, analyzing the noise source orientation corresponding to each noise-affected household based on the building volume distribution map includes: Based on the building volume distribution map, taking the household affected by the noise as the center, traverse the outdoor volume values ​​of the adjacent households, and select the household with the largest outdoor volume value as the target household; The direction of the noise source corresponding to the household affected by the noise is determined according to the position of the volume detection device outside the door of the target household and the position of the volume detection device outside the door of the household affected by the noise.

[0007] Furthermore, the household information of each household includes the age, gender and occupation of each resident.

[0008] Furthermore, generating a household portrait for each household based on the household information of each household includes: Divide the age of each resident in each household into the corresponding age group; Classify the occupation of each resident in each household into the corresponding occupation type; Generate household portraits for each household based on the age group, occupation type and gender of each resident in the household.

[0009] Furthermore, generating the volume sensitivity value of each household based on the household portrait of each household includes: Searching the first lookup table for the volume sensitivity correction value corresponding to the age group of each resident in each household, the volume sensitivity correction value corresponding to the gender of each resident, and the volume sensitivity correction value corresponding to the occupation type of each resident; Obtain the maximum limit of environmental noise in the residential area during the current period, and use the maximum limit of environmental noise in the residential area during the current period as the volume sensitivity value for the current period; The volume sensitivity value of the current time period is corrected using the volume sensitivity correction value of the corresponding age group of the same resident, the volume sensitivity correction value of the corresponding gender of the same resident, and the volume sensitivity correction value of the corresponding occupation type of the same resident to obtain the volume sensitivity value of the corresponding resident; The volume sensitivity values ​​of the residents of the same household are compared, and the minimum volume sensitivity value is used as the volume sensitivity value of the household; similarly, the volume sensitivity values ​​of the residents of each household are obtained.

[0010] Furthermore, the volume sensitivity value of the current time period is corrected by using the volume sensitivity correction value of the age group corresponding to the same resident, the volume sensitivity correction value of the gender corresponding to the same resident, and the volume sensitivity correction value of the occupation type corresponding to the same resident to obtain the volume sensitivity of the corresponding resident, including: The volume sensitivity correction value of the corresponding age group of the same resident, the volume sensitivity correction value of the corresponding gender of the same resident, the volume sensitivity correction value of the corresponding occupation type of the same resident, and the volume sensitivity value of the current time period are added together to obtain the volume sensitivity of the corresponding resident.

[0011] Furthermore, after the household number is sent to the monitoring display screen via the network for display, the data cloud platform is also used to: Get the location of all building patrol officers; Obtain the location of each household affected by noise; Determining the building patrol officer closest to the household affected by the noise based on the positions of all building patrol officers and the positions of the households affected by the noise; Sending key inspection information to the building patrol personnel closest to the household affected by the noise; wherein the key inspection information includes the household number of the household affected by the noise and noise handling matters.

[0012] The embodiment of the present application collects the household information of each household in the building and uploads the household information of each household to the data cloud platform. Since the amount of household information data in the building is large and the subsequent data analysis requires a large amount of computing resources, and the cloud platform has rich computing resources, powerful computing power and huge storage space, it lays the foundation for the subsequent generation of household portraits of each household based on the household information of each household, and the generation of volume sensitivity values ​​of each household based on the household portraits of each household. Based on the household information of each household, the household portraits of each household are generated, and based on the household portraits of each household, the volume sensitivity values ​​of each household are generated, that is, the corresponding volume sensitivity values ​​are generated for each household according to the actual situation of each household, which can more accurately evaluate the sensitivity of each household to volume. Different residents may have different tolerances to noise. Through personalized volume sensitivity analysis, it can be more accurately judged whether noise will affect residents. This invention considers the volume values ​​both outside and inside a household. By comparing the volume values ​​outside each household with the corresponding volume values ​​inside, it can be determined whether the sound outside the household is primarily caused by noise from inside. If the sound outside the household is not primarily caused by noise from inside, the volume values ​​inside the household are uploaded to a data cloud platform. The data cloud platform then compares the volume values ​​inside the household with the corresponding household's volume sensitivity value to more accurately determine whether the users inside the household are affected by noise. When a household is affected by noise, the household number is displayed on the monitoring screen, enabling visual monitoring of the noise problem. Operations and maintenance personnel can intuitively identify which households are affected by noise, facilitating rapid response and resolution, providing residents with a quiet and comfortable living environment and improving their satisfaction and quality of life. Furthermore, operations and maintenance personnel can more accurately understand the noise situation within the building, rationally allocate operations and maintenance resources, and improve the efficiency of operations and maintenance work. Furthermore, the volume detection device uploads the detected volume values ​​to an edge computing device, which uses the edge computing device to compare the volume values ​​outside each household with the corresponding volume values ​​inside the household, improving processing efficiency and reducing the load on the cloud platform. In summary, this application realizes the intelligent analysis, monitoring and management of the impact of noise on residents. Compared with existing methods, it is more refined and intelligent, and can provide residents with high-quality building operation and maintenance services. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the technical solution of the present application, the following is a brief introduction to the drawings required for use in the implementation. Obviously, the drawings described below are only some implementation methods of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0014] Figure 1 This is a system structure diagram of the intelligent building remote operation and maintenance system based on the data cloud platform provided in an embodiment of the present application. DETAILED DESCRIPTION

[0015] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0016] Those skilled in the art will understand that, unless expressly stated otherwise, the singular forms "a", "an", "above", and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of this application refers to the presence of features, integers, steps, operations, elements, modules, and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, modules, components, and / or groups thereof. It should be understood that when we refer to an element as being "connected" or "coupled" to another element, it may be directly connected or coupled to the other element, or there may be intermediate elements. In addition, "connected" or "coupled" as used herein may include wireless connections or wireless couplings. The term "and / or" used herein includes all or any module and all combinations of one or more associated listed items.

[0017] Those skilled in the art will understand that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs. It should also be understood that terms such as those defined in common dictionaries should be understood to have meanings consistent with their meanings in the context of the prior art and, unless specifically defined as such, will not be interpreted in an idealized or overly formal sense.

[0018] See also Figure 1 , an embodiment of the present application provides a remote operation and maintenance system for an intelligent building based on a data cloud platform, the system comprising: User information collection device 1, used to collect household information of each household in the building and upload the household information of each household to the data cloud platform; Volume detection device 2; wherein the volume detection device is installed outside the door and inside each household, and the volume detection device is used to upload the detected volume value to the edge computing device; Edge computing device 3 is used to compare the volume value outside each household with the volume value inside the corresponding household, and upload the volume value inside the household to the data cloud platform when the volume value inside the household is lower than the volume value outside the household; The data cloud platform 4 is used to generate a household portrait of each household based on the household information of each household; generate a volume sensitivity value of each household based on the household portrait of each household; determine whether the volume value in the household is greater than the volume sensitivity value of the corresponding household; if so, send the household number to the monitoring display screen 5 via the network for display.

[0019] In an embodiment of the present application, the user information collection device can be a smart terminal device such as a smart phone or a smart tablet. When the user information collection device is a smart phone, the user fills in the household information of his or her household in a designated form through the smart phone, including the age, gender, and occupation of each resident. Based on the household information of each household, a resident portrait of each household is generated. For example, Household 301, Unit 2, Building 6 has three residents, namely a 1-year-old girl, a 28-year-old man who is a police officer, and a 28-year-old woman who is a teacher. Household 303, Unit 2, Building 6 has one resident, a 22-year-old woman who is unemployed. Then, a resident portrait of Household 301 is generated based on the age, gender, and occupation of each resident of Household 301, and a resident portrait of Household 302 is generated based on the age, gender, and occupation of each resident of Household 302. Based on the resident portrait of each household, a volume sensitivity value is generated for each household. The volume sensitivity value represents the critical value that the resident can withstand and not be disturbed by the volume. The volume detection device consists of a volume detector and a communication module. The volume detector is used to detect the volume value, and the communication module is used to upload the detected volume value to the edge computing device. Volume detection devices are installed outside and inside each household to detect the outdoor and indoor volume levels and determine whether the user is being disturbed by external noise. Multiple volume detection devices can be installed indoors to obtain volume values ​​at different locations. Specifically, the volume values ​​at different locations can be compared and the highest volume value selected as the indoor volume. Other methods can also be combined, such as Bluetooth positioning technology, to detect the user's location through Bluetooth positioning technology and select the volume value detected by the volume sensor closest to the user as the indoor volume.

[0020] The embodiment of the present application collects the household information of each household in the building and uploads the household information of each household to the data cloud platform. Since the amount of household information data in the building is large and the subsequent data analysis requires a large amount of computing resources, and the cloud platform has rich computing resources, powerful computing power and huge storage space, it lays the foundation for the subsequent generation of household portraits of each household based on the household information of each household, and the generation of volume sensitivity values ​​of each household based on the household portraits of each household. Based on the household information of each household, the household portraits of each household are generated, and based on the household portraits of each household, the volume sensitivity values ​​of each household are generated, that is, the corresponding volume sensitivity values ​​are generated for each household according to the actual situation of each household, which can more accurately evaluate the sensitivity of each household to volume. Different residents may have different tolerances to noise. Through personalized volume sensitivity analysis, it can be more accurately judged whether noise will affect residents. This invention considers the volume values ​​both outside and inside a household. By comparing the volume values ​​outside each household with the corresponding volume values ​​inside, it can be determined whether the sound outside the household is primarily caused by noise from inside. If the sound outside the household is not primarily caused by noise from inside, the volume values ​​inside the household are uploaded to a data cloud platform. The data cloud platform then compares the volume values ​​inside the household with the corresponding household's volume sensitivity value to more accurately determine whether the users inside the household are affected by noise. When a household is affected by noise, the household number is displayed on the monitoring screen, enabling visual monitoring of the noise problem. Operations and maintenance personnel can intuitively identify which households are affected by noise, facilitating rapid response and resolution, providing residents with a quiet and comfortable living environment and improving their satisfaction and quality of life. Furthermore, operations and maintenance personnel can more accurately understand the noise situation within the building, rationally allocate operations and maintenance resources, and improve the efficiency of operations and maintenance work. Furthermore, the volume detection device uploads the detected volume values ​​to an edge computing device, which uses the edge computing device to compare the volume values ​​outside each household with the corresponding volume values ​​inside the household, improving processing efficiency and reducing the load on the cloud platform. In summary, this application realizes the intelligent analysis, monitoring and management of the impact of noise on residents. Compared with existing methods, it is more refined and intelligent, and can provide residents with high-quality building operation and maintenance services.

[0021] In one embodiment, the edge computing device is further configured to: Generate a building volume distribution map based on the building map and the volume values ​​outside each household door; Analyzing the noise source orientation corresponding to each noise-affected household based on the building volume distribution map; wherein the noise-affected household meets the following conditions: the volume value inside the household is less than the volume value outside the door and the volume value inside the household is greater than the volume sensitivity value of the corresponding resident; Each household affected by noise is bound to its corresponding noise source location and output to the display screen for display.

[0022] The direction of the noise source corresponding to each household affected by noise. For example, if the noise source is to the east of the household, then the direction of the noise source is east. In this embodiment of the application, a building volume distribution map is generated based on a building map and the volume values ​​outside each household's door. The direction of the noise source for each household affected by noise is analyzed based on the building volume distribution map. Each household affected by noise is then associated with its corresponding noise source direction and displayed on a display screen. Operations and maintenance personnel can intuitively understand which households are affected by noise and the direction of the noise source, facilitating rapid response and processing.

[0023] In one embodiment, analyzing the noise source orientation corresponding to each noise-affected household based on the building volume distribution map includes: Based on the building volume distribution map, taking the household affected by the noise as the center, traverse the outdoor volume values ​​of the adjacent households, and select the household with the largest outdoor volume value as the target household; The direction of the noise source corresponding to the household affected by the noise is determined according to the position of the volume detection device outside the door of the target household and the position of the volume detection device outside the door of the household affected by the noise.

[0024] In this embodiment of the present application, each household's door volume detection device is equipped with a positioning module, which is used to locate the location of the volume detection device within the building. Based on the building volume distribution map, the present invention uses the noise-affected household as the center and traverses the door volume values ​​of adjacent households. The location of the target household's door volume detection device and the location of the noise-affected household's door volume detection device are used to determine the direction of the noise source corresponding to the noise-affected household. This method is simple and efficient, and can quickly and accurately identify the direction of the noise source corresponding to the noise-affected household.

[0025] In one embodiment, the household information of each household includes the age, gender and occupation of each resident.

[0026] It should be understood that to more accurately assess each household's volume sensitivity, the age, gender, and occupation of each resident must be considered. Different age groups, genders, and occupations have different volume sensitivities. Generally, households with elderly or infants tend to have a lower tolerance for noise and will have relatively lower volume sensitivity values. Social surveys show that women are more likely to proactively report noise issues, so they generally have a lower tolerance for noise and will have relatively lower volume sensitivity values. Residents working in noisy environments may have a stronger ability to adapt to noise and may have relatively higher volume sensitivity values.

[0027] In one embodiment, generating a household portrait for each household based on the household information of each household includes: Divide the age of each resident in each household into the corresponding age group; Classify the occupation of each resident in each household into the corresponding occupation type; Generate household portraits for each household based on the age group, occupation type and gender of each resident in the household.

[0028] This application can construct a more three-dimensional portrait of residents by analyzing the age, occupation, and gender of each resident. This multi-dimensional feature combination not only improves the scientific nature of noise management, but also provides a basic framework for personalized services in smart buildings.

[0029] In one embodiment, generating the volume sensitivity value of each household based on the household portrait of each household includes: Searching the first lookup table for the volume sensitivity correction value corresponding to the age group of each resident in each household, the volume sensitivity correction value corresponding to the gender of each resident, and the volume sensitivity correction value corresponding to the occupation type of each resident; Obtain the maximum limit of environmental noise in the residential area during the current period, and use the maximum limit of environmental noise in the residential area during the current period as the volume sensitivity value for the current period; The volume sensitivity value of the current time period is corrected using the volume sensitivity correction value of the corresponding age group of the same resident, the volume sensitivity correction value of the corresponding gender of the same resident, and the volume sensitivity correction value of the corresponding occupation type of the same resident to obtain the volume sensitivity value of the corresponding resident; The volume sensitivity values ​​of the residents of the same household are compared, and the minimum volume sensitivity value is used as the volume sensitivity value of the household; similarly, the volume sensitivity values ​​of the residents of each household are obtained.

[0030] In an embodiment of the present application, the first lookup table records volume sensitivity correction values ​​corresponding to different age groups, different genders, and different occupational types. The volume sensitivity correction value refers to a value used to correct volume sensitivity. By using the sensitivity correction values ​​corresponding to the age group, the volume sensitivity correction values ​​corresponding to the gender, and the volume sensitivity correction values ​​corresponding to the occupational type, the maximum limit of residential environmental noise for the current time period is corrected. The maximum limit of residential environmental noise for different time periods is different, with the maximum limit of residential environmental noise for the daytime being 50 decibels and the maximum limit of residential environmental noise for the nighttime being 45 decibels. By using the volume sensitivity correction values ​​corresponding to the age group, the volume sensitivity correction values ​​corresponding to the gender, and the volume sensitivity correction values ​​corresponding to the occupational type of the same resident to correct the maximum limit of residential environmental noise for the current time period, the embodiment of the present application can more accurately reflect the actual volume sensitivity of each resident at different time periods. In addition, comparing the volume sensitivity values ​​of each resident in the same household and taking the minimum volume sensitivity value as the volume sensitivity value of the household can more accurately reflect the maximum volume value that the household can tolerate. Subsequent analysis based on the minimum volume sensitivity value can improve the quality of building operation and maintenance.

[0031] In one embodiment, the volume sensitivity value of the current time period is corrected using the volume sensitivity correction value corresponding to the age group of the same resident, the volume sensitivity correction value corresponding to the gender of the same resident, and the volume sensitivity correction value corresponding to the occupation type of the same resident to obtain the volume sensitivity of the corresponding resident, including: The volume sensitivity correction value of the corresponding age group of the same resident, the volume sensitivity correction value of the corresponding gender of the same resident, the volume sensitivity correction value of the corresponding occupation type of the same resident, and the volume sensitivity value of the current time period are added together to obtain the volume sensitivity of the corresponding resident.

[0032] In the embodiment of the present application, the volume sensitivity correction value may be greater than 0, less than 0, or even equal to 0. A volume sensitivity correction value greater than 0 indicates that the group has a higher tolerance to noise. Conversely, a volume sensitivity correction value less than 0 indicates that the group has a lower tolerance to noise.

[0033] In one embodiment, after the household number is sent to the monitoring display screen via the network for display, the data cloud platform is further used to: Get the location of all building patrol officers; Obtain the location of each household affected by noise; Determining the building patrol officer closest to the household affected by the noise based on the positions of all building patrol officers and the positions of the households affected by the noise; Sending key inspection information to the building patrol personnel closest to the household affected by the noise; wherein the key inspection information includes the household number of the household affected by the noise and noise handling matters.

[0034] In an embodiment of the present invention, noise handling matters may specifically include determining the noise source and handling the noise source. If the noise source is found to be a resident, the resident may be requested not to make noise. The present invention obtains the locations of all building patrol personnel; obtains the location of each household affected by noise; determines the building patrol personnel closest to the noise-affected household based on the locations of all building patrol personnel and the locations of each noise-affected household; and sends key inspection information to the building patrol personnel closest to the noise-affected household. The key inspection information includes the household number of the noise-affected household and noise handling matters. In this way, it is easy to quickly find the noise source and take corresponding measures, thereby providing residents with a quiet and comfortable living environment and improving their satisfaction and quality of life.

[0035] In one embodiment, a voice module is provided outside the door of each household, and the voice module is used to collect the voice outside the door affected by noise and upload the collected voice to the edge computing device; The edge computing device is also used to perform quarrel recognition on the received voice signals; when a quarrel event is recognized, the recognition result is uploaded to the data cloud platform; The data cloud platform is also used to send the recognition result and the household number of the household affected by the noise to a monitoring display screen through the network for display.

[0036] In the embodiments of the present application, quarrel recognition can adopt existing recognition methods, such as a quarrel recognition method based on audio analysis and deep learning. This method is a prior art and the embodiments of the present invention will not be described in detail here. After determining the households affected by the noise, the present invention collects the voice outside their door for quarrel recognition. When a quarrel is recognized, the recognition result is sent to the monitoring display screen together with the household number for display, so that the operation and maintenance personnel can clearly understand whether the households affected by the noise are suffering from the annoyance of quarrel noise, which is convenient for the operation and maintenance personnel to better take corresponding measures. In addition, the present invention collects the voice outside the door for quarrel recognition after determining the households affected by the noise, which can avoid the energy waste problem caused by the continuous operation of the voice module.

[0037] It should be understood that the data obtained in the embodiments of the present invention are obtained, collected, stored, used, transmitted, provided and presented after authorization by the corresponding users, in compliance with the provisions of relevant laws and regulations, without infringing on the privacy of others and without violating public order and good morals.

[0038] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, apparatus, article, or method comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, apparatus, article, or method. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, apparatus, article, or method comprising the element.

[0039] The above description is only a preferred embodiment of the present application and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A remote operation and maintenance system for intelligent buildings based on a data cloud platform, characterized in that: The system comprises: User information collection equipment, used to collect household information of each household in the building and upload the household information of each household to the data cloud platform; Volume detection devices; wherein the volume detection devices are installed outside the doors of each household and inside each household, and the volume detection devices are used to upload the detected volume values ​​to the edge computing device; The edge computing device is used to compare the volume value outside each household with the volume value inside the corresponding household. When the volume value inside the household is lower than the volume value outside the door, the volume value inside the household is uploaded to the data cloud platform. The data cloud platform is used to generate a household portrait for each household based on the household information of each household; generate a volume sensitivity value for each household based on the household portrait; determine whether the volume value in the household is greater than the volume sensitivity value of the corresponding household; if so, send the household number to the monitoring display screen via the network for display.

2. The intelligent building remote operation and maintenance system based on the data cloud platform according to claim 1 is characterized in that: The edge computing device is also used to: Generate a building volume distribution map based on the building map and the volume values ​​outside each household door; Analyzing the noise source orientation corresponding to each noise-affected household based on the building volume distribution map; wherein the noise-affected household meets the following conditions: the volume value inside the household is less than the volume value outside the door and the volume value inside the household is greater than the volume sensitivity value of the corresponding resident; Each household affected by noise is bound to its corresponding noise source location and output to the display screen for display.

3. The intelligent building remote operation and maintenance system based on the data cloud platform according to claim 2 is characterized in that: The analyzing the noise source orientation corresponding to each noise-affected household based on the building volume distribution diagram includes: Based on the building volume distribution map, taking the household affected by the noise as the center, traverse the outdoor volume values ​​of the adjacent households, and select the household with the largest outdoor volume value as the target household; The direction of the noise source corresponding to the household affected by the noise is determined according to the position of the volume detection device outside the door of the target household and the position of the volume detection device outside the door of the household affected by the noise.

4. The intelligent building remote operation and maintenance system based on the data cloud platform according to claim 1 is characterized in that: The household information of each household includes the age, gender and occupation of each resident.

5. The intelligent building remote operation and maintenance system based on the data cloud platform according to claim 4 is characterized in that: Generating household portraits of each household based on the household information of each household includes: Divide the age of each resident in each household into the corresponding age group; Classify the occupation of each resident in each household into the corresponding occupation type; Generate household portraits for each household based on the age group, occupation type and gender of each resident in the household.

6. The intelligent building remote operation and maintenance system based on the data cloud platform according to claim 5 is characterized in that: Generating the volume sensitivity value of each household based on the household portrait of each household includes: Searching the first lookup table for the volume sensitivity correction value corresponding to the age group of each resident in each household, the volume sensitivity correction value corresponding to the gender of each resident, and the volume sensitivity correction value corresponding to the occupation type of each resident; Obtain the maximum limit of environmental noise in the residential area during the current period, and use the maximum limit of environmental noise in the residential area during the current period as the volume sensitivity value for the current period; The volume sensitivity value of the current time period is corrected using the volume sensitivity correction value of the corresponding age group of the same resident, the volume sensitivity correction value of the corresponding gender of the same resident, and the volume sensitivity correction value of the corresponding occupation type of the same resident to obtain the volume sensitivity value of the corresponding resident; The volume sensitivity values ​​of the residents of the same household are compared, and the minimum volume sensitivity value is used as the volume sensitivity value of the household; similarly, the volume sensitivity values ​​of the residents of each household are obtained.

7. The intelligent building remote operation and maintenance system based on the data cloud platform according to claim 6 is characterized in that: The volume sensitivity value of the current time period is corrected by using the volume sensitivity correction value of the age group of the same resident, the volume sensitivity correction value of the gender of the same resident, and the volume sensitivity correction value of the occupation type of the same resident to obtain the volume sensitivity of the corresponding resident, including: The volume sensitivity correction value of the corresponding age group of the same resident, the volume sensitivity correction value of the corresponding gender of the same resident, the volume sensitivity correction value of the corresponding occupation type of the same resident, and the volume sensitivity value of the current time period are added together to obtain the volume sensitivity of the corresponding resident.

8. The intelligent building remote operation and maintenance system based on the data cloud platform according to claim 1 is characterized in that: After the household number is sent to the monitoring display screen via the network for display, the data cloud platform is also used to: Get the location of all building patrol officers; Obtain the location of each household affected by noise; Determining the building patrol officer closest to the household affected by the noise based on the positions of all building patrol officers and the positions of the households affected by the noise; Sending key inspection information to the building patrol personnel closest to the household affected by the noise; wherein the key inspection information includes the household number of the household affected by the noise and noise handling matters.

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