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

Abstract

The application 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, which comprises user information acquisition equipment for acquiring the user information of each household in a building and uploading the user information to a data cloud platform; volume detection equipment respectively installed outside each household and in each household; edge computing equipment for comparing the volume value outside each household with the volume value in the corresponding household, and uploading the volume value in the household to the data cloud platform when the volume value in the household is smaller than the volume value outside the household; and the data cloud platform for generating the user portrait of each household based on the user information of each household, generating the volume sensitivity value of the user of each household based on the user portrait of each household, judging whether the volume value in the household is greater than the volume sensitivity value of the corresponding user, and displaying the household number if yes. Compared with the prior art, the application is more refined and intelligent, and can provide high-quality building operation and maintenance services for users.

Description

Technical Field

[0001] This 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 Technology

[0002] Intelligent building remote operation systems are intelligent systems that utilize modern information technology to remotely monitor and manage building equipment and systems. They offer functions such as remote monitoring, equipment management, and energy consumption management. However, current research on intelligent building remote operation systems mainly focuses on monitoring and managing central air conditioning systems, heating systems, fresh air systems, elevator systems, smoke extraction 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 are relatively lacking. Currently, noise monitoring and management typically involves monitoring the noise level in the environment and sending data to property management personnel's terminals when the noise exceeds a preset threshold. However, this approach is crude, lacks intelligence, and fails to provide residents with high-quality operation and maintenance services. Summary of the Invention

[0003] To address the aforementioned 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 crude, not intelligent enough, and unable to provide residents with high-quality building operation and maintenance services.

[0004] In a first aspect, embodiments of this application provide an intelligent building remote operation and maintenance system based on a data cloud platform, comprising:

[0005] User information collection equipment is used to collect resident information of each household in the building and upload the resident information of each household to the data cloud platform;

[0006] A volume detection device; wherein the volume detection device is installed outside the door and inside the door of each household, and the volume detection device is used to upload the detected volume value to the edge computing device;

[0007] Edge computing devices are used to compare the volume values ​​outside each household door with the corresponding volume values ​​inside the household, and when the volume value inside the household is less than the volume value outside the door, the volume value inside the household is uploaded to the data cloud platform.

[0008] The data cloud platform is used to generate resident profiles for each household based on their resident information; generate volume sensitivity values ​​for each household based on their resident profiles; determine whether the volume value inside the household is greater than the corresponding resident's volume sensitivity value; if so, send the household number to the monitoring display screen via the network for display.

[0009] Furthermore, the edge computing device is also used for:

[0010] A building volume distribution map is generated based on the building map and the volume values ​​outside each unit's door;

[0011] Based on the building volume distribution map, the location of the noise source corresponding to each household affected by noise is analyzed; wherein, the household affected by noise 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 household.

[0012] The location of each household affected by noise is linked to the location of its corresponding noise source and displayed on the screen.

[0013] Furthermore, the analysis of the noise source location corresponding to each noise-affected household based on the building volume distribution map includes:

[0014] Based on the building volume distribution map, taking the household affected by noise as the center, traverse the door volume values ​​of the adjacent households, and take the household with the highest door volume value as the target household.

[0015] The location of the noise source corresponding to the noise-affected household is determined based on the location of the volume detection device outside the target household door and the location of the volume detection device outside the door of the household affected by the noise.

[0016] Furthermore, the resident information for each household includes the age, gender, and occupation of each resident.

[0017] Furthermore, the process of generating resident profiles for each household based on their resident information includes:

[0018] The age of each resident in each household is divided into corresponding age groups;

[0019] The occupation of each resident in each household is assigned to a corresponding occupation type;

[0020] Each household's resident profile is generated based on their age group, occupation, and gender.

[0021] Furthermore, the generation of volume sensitivity values ​​for each household based on the resident profile includes:

[0022] The volume sensitivity correction values ​​for each household's residents corresponding to their age group, gender, and occupation type are retrieved using the first lookup table.

[0023] Obtain the maximum limit of residential area environmental noise for the current time period, and use the maximum limit of residential area environmental noise for the current time period as the volume sensitivity value for the current time period;

[0024] The volume sensitivity value of the current time period is corrected by using the volume sensitivity correction values ​​of the same resident corresponding to the age group, the same resident corresponding to the gender, and the same resident corresponding to the occupation type, so as to obtain the volume sensitivity value of the corresponding resident.

[0025] The volume sensitivity values ​​of each resident in the same household are compared, and the lowest volume sensitivity value is taken as the volume sensitivity value of that household; similarly, the volume sensitivity values ​​of each household are obtained.

[0026] Furthermore, the step of correcting the volume sensitivity value of the current time period using volume sensitivity correction values ​​for the same resident's age group, gender, and occupation type to obtain the corresponding resident's volume sensitivity includes:

[0027] The volume sensitivity correction values ​​for the same resident are summed together: the volume sensitivity correction values ​​for the same resident's age group, the volume sensitivity correction values ​​for the same resident's gender, the volume sensitivity correction values ​​for the same resident's occupation type, and the volume sensitivity value for the current time period. This sums up the volume sensitivity value for the corresponding resident.

[0028] Furthermore, after the user's ID is sent to the monitoring display screen via the network for display, the data cloud platform is also used for:

[0029] Get the location of all building patrol personnel;

[0030] Obtain the location of each household affected by noise;

[0031] The building patrol personnel closest to each noise-affected household are determined based on the locations of all building patrol personnel and the locations of each noise-affected household.

[0032] Send key inspection information to the building patrol personnel closest to the noise-affected household; wherein, the key inspection information includes the household number of the noise-affected household and the noise handling matters.

[0033] This application embodiment collects resident information from each household in a building and uploads it to a data cloud platform. Due to the large volume of resident information and the significant computational resources required for subsequent data analysis, the cloud platform, with its abundant computing resources, powerful computing capabilities, and vast storage space, lays the foundation for generating resident profiles and volume sensitivity values ​​for each household based on their information. Generating resident profiles and volume sensitivity values ​​for each household, based on their individual profiles, allows for a more accurate assessment of each household's volume sensitivity. Different residents may have varying noise tolerance; personalized volume sensitivity analysis can more accurately determine whether noise will affect residents. This invention considers both the volume values ​​outside and inside each apartment. By comparing the volume values ​​outside each apartment with the corresponding volume values ​​inside, it can determine whether the noise outside is primarily caused by the apartment. When the noise outside is not primarily caused by the apartment, the volume values ​​inside are uploaded to a data cloud platform. The data cloud platform then compares these volume values ​​with the corresponding apartment's volume sensitivity value to more accurately determine whether the resident is affected by noise. When a resident is affected by noise, the apartment number is displayed on a monitoring screen, enabling visualized monitoring of noise issues. Maintenance personnel can intuitively see which residents are affected by noise, facilitating rapid response and handling, providing residents with a quiet and comfortable living environment, and improving resident satisfaction and quality of life. Furthermore, maintenance personnel can more accurately understand the noise situation within the building, rationally allocate maintenance resources, and improve the efficiency of maintenance work. Further, the volume detection device uploads the detected volume values ​​to an edge computing device. The edge computing device compares the volume values ​​outside each apartment with the corresponding volume values ​​inside, improving processing efficiency and reducing the load on the cloud platform. In summary, this application enables 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. Attached Figure Description

[0034] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0035] Figure 1 This is a system structure block diagram of the intelligent building remote operation and maintenance system based on a data cloud platform provided in the embodiments of this application. Detailed Implementation

[0036] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0037] Those skilled in the art will understand that, unless explicitly stated otherwise, the singular forms “a,” “an,” “the,” and “the” used herein may also include the plural forms. It should be further understood that the term “comprising” as used in the specification of this application means 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 say an element is “connected” or “coupled” to another element, it can be directly connected or coupled to the other element, or there may be intermediate elements. Furthermore, “connected” or “coupled” as used herein can include wireless connections or wireless coupling. The term “and / or” as used herein includes all or any modules and all combinations of one or more associated listed items.

[0038] Those skilled in the art will understand that, unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. It should also be understood that terms such as those defined in general dictionaries should be understood to have the same meaning as in the context of the prior art, and should not be interpreted in an idealized or overly formal sense unless specifically defined as herein.

[0039] Please see Figure 1 This application provides an intelligent building remote operation and maintenance system based on a data cloud platform, the system comprising:

[0040] User information collection device 1 is used to collect resident information of each household in the building and upload the resident information of each household to the data cloud platform.

[0041] Volume detection device 2; wherein, the volume detection device is installed outside the door and inside the door of each household, and the volume detection device is used to upload the detected volume value to the edge computing device;

[0042] Edge computing device 3 is used to compare the volume value outside each household door with the corresponding volume value inside the household, and when the volume value inside the household is less than the volume value outside the door, it uploads the volume value inside the household to the data cloud platform.

[0043] Data cloud platform 4 is used to generate resident profiles for each household based on the resident information of each household; generate volume sensitivity values ​​for each household based on the resident profiles of each household; determine whether the volume value inside the household is greater than the volume sensitivity value of the corresponding resident; if so, send the household number to the monitoring display screen 5 via the network for display.

[0044] In this embodiment, the user information collection device can be a smart terminal device such as a smartphone or tablet. When the user information collection device is a smartphone, the user fills in the resident information of their household in a designated form, including the age, gender, and occupation of each resident. Based on the resident information of each household, a resident profile is generated for each household. For example, in Unit 2, Building 6, Household 301 has three residents: a 1-year-old girl, a 28-year-old male (police officer), and a 28-year-old female (teacher). Household 303 in Unit 2, Building 6 has one resident: a 22-year-old unemployed female. Therefore, a resident profile for Household 301 is generated based on the age, gender, and occupation of each resident, and a resident profile for Household 302 is generated based on the age, gender, and occupation of each resident. Based on the resident profiles of each household, a volume sensitivity value is generated for each household. The volume sensitivity value represents the threshold value at which the resident can tolerate noise without being disturbed. The volume detection equipment includes a volume detector and a communication module. The volume detector measures the volume, and the communication module uploads the measured volume to an edge computing device. Volume detection devices are installed both outside and inside each household to measure the volume outside and inside, determining whether the user is experiencing external noise interference. Multiple volume detection devices can be installed inside the unit to obtain volume values ​​at different locations. These values ​​can be compared, and the highest value is selected as the indoor volume. Alternatively, other methods can be used, such as Bluetooth positioning technology, to detect the user's location and select the volume value detected by the nearest volume sensor as the indoor volume.

[0045] This application embodiment collects resident information from each household in a building and uploads it to a data cloud platform. Due to the large volume of resident information and the significant computational resources required for subsequent data analysis, the cloud platform, with its abundant computing resources, powerful computing capabilities, and vast storage space, lays the foundation for generating resident profiles and volume sensitivity values ​​for each household based on their information. Generating resident profiles and volume sensitivity values ​​for each household, based on their individual profiles, allows for a more accurate assessment of each household's volume sensitivity. Different residents may have varying noise tolerance; personalized volume sensitivity analysis can more accurately determine whether noise will affect residents. This invention considers both the volume values ​​outside and inside each apartment. By comparing the volume values ​​outside each apartment with the corresponding volume values ​​inside, it can determine whether the noise outside is primarily caused by the apartment. When the noise outside is not primarily caused by the apartment, the volume values ​​inside are uploaded to a data cloud platform. The data cloud platform then compares these volume values ​​with the corresponding apartment's volume sensitivity value to more accurately determine whether the resident is affected by noise. When a resident is affected by noise, the apartment number is displayed on a monitoring screen, enabling visualized monitoring of noise issues. Maintenance personnel can intuitively see which residents are affected by noise, facilitating rapid response and handling, providing residents with a quiet and comfortable living environment, and improving resident satisfaction and quality of life. Furthermore, maintenance personnel can more accurately understand the noise situation within the building, rationally allocate maintenance resources, and improve the efficiency of maintenance work. Further, the volume detection device uploads the detected volume values ​​to an edge computing device. The edge computing device compares the volume values ​​outside each apartment with the corresponding volume values ​​inside, improving processing efficiency and reducing the load on the cloud platform. In summary, this application enables 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.

[0046] In one embodiment, the edge computing device is further configured to:

[0047] A building volume distribution map is generated based on the building map and the volume values ​​outside each unit's door;

[0048] Based on the building volume distribution map, the location of the noise source corresponding to each household affected by noise is analyzed; wherein, the household affected by noise 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 household.

[0049] The location of each household affected by noise is linked to the location of its corresponding noise source and displayed on the screen.

[0050] The location of the noise source corresponding to the affected household is specified. For example, if the noise source is east of the household, then the noise source location is east. This application embodiment generates a building volume distribution map based on a building map and the volume values ​​outside each household's door. Based on this building volume distribution map, the location of the noise source for each affected household is analyzed. Each affected household is then linked to its corresponding noise source location and displayed on a screen. Maintenance personnel can intuitively understand which households are affected by noise and the location of the noise source, facilitating rapid response and handling.

[0051] In one embodiment, the step of analyzing the noise source location corresponding to each noise-affected household based on the building volume distribution map includes:

[0052] Based on the building volume distribution map, taking the household affected by noise as the center, traverse the door volume values ​​of the adjacent households, and take the household with the highest door volume value as the target household.

[0053] The location of the noise source corresponding to the noise-affected household is determined based on the location of the volume detection device outside the target household door and the location of the volume detection device outside the door of the household affected by the noise.

[0054] In this embodiment, each volume detection device outside its door is equipped with a positioning module, which is used to locate the position of the volume detection device within the building. Based on the building volume distribution map, this invention takes the noise-affected household as the center, traverses the volume values ​​outside the doors of adjacent households, and determines the location of the noise source corresponding to the noise-affected household based on the positions of the volume detection devices outside the target household and the noise-affected households. This method is simple and efficient, and can quickly and accurately identify the location of the noise source corresponding to the noise-affected household.

[0055] In one embodiment, the resident information for each household includes the age, gender, and occupation of each resident.

[0056] It should be understood that, to more accurately assess the volume sensitivity of each household, the age, gender, and occupation of each resident are considered. Different age groups, genders, and occupations have different sensitivities to volume. Generally, households with elderly people or infants tend to have lower noise tolerance and thus lower volume sensitivity values. Social surveys show that women are more likely to proactively report noise problems; therefore, women generally have lower noise tolerance and lower volume sensitivity values. Residents working in noisy environments may have a stronger ability to adapt to noise and thus higher volume sensitivity values.

[0057] In one embodiment, generating resident profiles for each household based on their resident information includes:

[0058] The age of each resident in each household is divided into corresponding age groups;

[0059] The occupation of each resident in each household is assigned to a corresponding occupation type;

[0060] Each household's resident profile is generated based on their age group, occupation, and gender.

[0061] This application, through the analysis of the age, occupation, and gender of each resident, can construct a more comprehensive resident profile. This combination of multi-dimensional features not only improves the scientific nature of noise management but also provides a basic framework for personalized services in smart buildings.

[0062] In one embodiment, generating volume sensitivity values ​​for each household based on their resident profile includes:

[0063] The volume sensitivity correction values ​​for each household's residents corresponding to their age group, gender, and occupation type are retrieved using the first lookup table.

[0064] Obtain the maximum limit of residential area environmental noise for the current time period, and use the maximum limit of residential area environmental noise for the current time period as the volume sensitivity value for the current time period;

[0065] The volume sensitivity value of the current time period is corrected by using the volume sensitivity correction values ​​of the same resident corresponding to the age group, the same resident corresponding to the gender, and the same resident corresponding to the occupation type, so as to obtain the volume sensitivity value of the corresponding resident.

[0066] The volume sensitivity values ​​of each resident in the same household are compared, and the lowest volume sensitivity value is taken as the volume sensitivity value of that household; similarly, the volume sensitivity values ​​of each household are obtained.

[0067] In this embodiment, the first lookup table records volume sensitivity correction values ​​for different age groups, different genders, and different occupational types. The volume sensitivity correction value refers to the value used to correct volume sensitivity. By using the corresponding age group, gender, and occupational type correction values, the maximum limit for residential area environmental noise during the current time period is corrected. The maximum limit for residential area environmental noise varies at different times; it is 50 decibels during the day and 45 decibels at night. This embodiment, by using the volume sensitivity correction values ​​for the same resident's age group, gender, and occupational type to correct the maximum limit for residential area environmental noise during the current time period, can more accurately reflect the actual volume sensitivity of each resident at different times. In addition, comparing the volume sensitivity values ​​of each resident in the same household and taking the lowest volume sensitivity value as the volume sensitivity value of that household can more accurately reflect the maximum volume value that the household can tolerate. Subsequent analysis based on this lowest volume sensitivity value can improve the quality of building operation and maintenance.

[0068] In one embodiment, the step of correcting the volume sensitivity value of the current time period using volume sensitivity correction values ​​for the same resident's age group, gender, and occupation type to obtain the corresponding resident's volume sensitivity includes:

[0069] The volume sensitivity correction values ​​for the same resident are summed together: the volume sensitivity correction values ​​for the same resident's age group, the volume sensitivity correction values ​​for the same resident's gender, the volume sensitivity correction values ​​for the same resident's occupation type, and the volume sensitivity value for the current time period. This sums up the volume sensitivity value for the corresponding resident.

[0070] In this embodiment, the volume sensitivity correction value can be greater than 0, less than 0, or equal to 0. A volume sensitivity correction value greater than 0 indicates that the group has a higher tolerance for noise, while a volume sensitivity correction value less than 0 indicates that the group has a lower tolerance for noise.

[0071] In one embodiment, after the user ID is sent to the monitoring display screen via the network for display, the data cloud platform is further used for:

[0072] Get the location of all building patrol personnel;

[0073] Obtain the location of each household affected by noise;

[0074] The building patrol personnel closest to each noise-affected household are determined based on the locations of all building patrol personnel and the locations of each noise-affected household.

[0075] Send key inspection information to the building patrol personnel closest to the noise-affected household; wherein, the key inspection information includes the household number of the noise-affected household and the noise handling matters.

[0076] In this embodiment of the invention, noise control measures may specifically include identifying the noise source and taking measures to address it. For example, if the noise source is a resident, the resident can be asked not to make noise. This invention obtains the locations of all building patrol personnel; obtains the locations of each noise-affected household; determines the building patrol personnel closest to each 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, including the household number of the noise-affected household and noise control measures, to the building patrol personnel closest to the noise-affected household. This key inspection information facilitates the rapid identification of noise sources and the implementation of appropriate measures, providing residents with a quiet and comfortable living environment and improving resident satisfaction and quality of life.

[0077] In one embodiment, each household is equipped with a voice module outside its door, which is used to collect voice outside the door affected by noise and upload the collected voice to an edge computing device.

[0078] The edge computing device is also used to identify arguments by receiving voice signals; when an argument is detected, the identification result is uploaded to the data cloud platform.

[0079] The data cloud platform is also used to send the identification results and the household numbers of the households affected by noise to the monitoring display screen via the network for display.

[0080] In this embodiment, argument recognition can employ existing methods, such as argument recognition methods based on audio analysis and deep learning. These methods are existing technologies and will not be elaborated upon here. This invention, after identifying the household affected by noise, collects audio outside their door for argument recognition. When an argument is detected, the recognition result, along with the household number, is sent to a monitoring display screen for display. This allows maintenance personnel to clearly understand whether the affected household is experiencing noise disturbance, facilitating better implementation of appropriate measures. Furthermore, this invention collects audio outside the door only for argument recognition after identifying the affected household, avoiding the energy waste caused by continuous operation of the audio module.

[0081] It should be understood that the data obtained in the embodiments of the present invention are all obtained, collected, stored, used, transmitted, provided and presented after authorization by the corresponding users, in accordance with the provisions of relevant laws and regulations, without infringing on the privacy of others and without violating public order and good morals.

[0082] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, apparatus, article, or method. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, apparatus, article, or method that includes that element.

[0083] The above description is only a preferred embodiment of this application and does not limit the patent scope of this application. Any equivalent structural or procedural changes made based on the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A smart building remote operation and maintenance system based on a data cloud platform, characterized in that, The system includes: User information collection equipment is used to collect resident information of each household in the building and upload the resident information of each household to the data cloud platform; A volume detection device; wherein the volume detection device is installed outside the door and inside the door of each household, and the volume detection device is used to upload the detected volume value to the edge computing device; wherein the volume detection device includes a volume detector, a communication module and a positioning module; Edge computing devices are used to compare the volume values ​​outside each household door with the corresponding volume values ​​inside the household, and when the volume value inside the household is less 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 resident profiles for each household based on their resident information; generate volume sensitivity values ​​for each household based on their resident profiles; determine whether the volume value inside the household is greater than the corresponding resident's volume sensitivity value; if so, send the household number to the monitoring display screen via the network for display. The generation of volume sensitivity values ​​for each household based on their individual resident profiles includes: The volume sensitivity correction values ​​for each resident in each household, corresponding to their age group, gender, and occupation type are retrieved using the first lookup table. Obtain the maximum limit of residential area environmental noise for the current time period, and use the maximum limit of residential area environmental noise for the current time period as the volume sensitivity value for the current time period; The volume sensitivity correction values ​​for the same resident's age group, gender, occupation type, and current time period are added together to obtain the volume sensitivity of the corresponding resident. The volume sensitivity values ​​of each resident in the same household are compared, and the lowest volume sensitivity value is taken as the volume sensitivity value of that household; similarly, the volume sensitivity values ​​of each household are obtained.

2. The intelligent building remote operation and maintenance system based on a data cloud platform according to claim 1, characterized in that, The edge computing device is also used for: A building volume distribution map is generated based on the building map and the volume values ​​outside each unit's door; Based on the building volume distribution map, the noise source location corresponding to each household affected by noise is analyzed; wherein, the household affected by noise 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 household. The location of each household affected by noise is linked to the location of its corresponding noise source and displayed on the screen.

3. The intelligent building remote operation and maintenance system based on a data cloud platform according to claim 2, characterized in that, The analysis of the noise source location for each household affected by noise based on the building sound volume distribution map includes: Based on the building volume distribution map, taking the household affected by noise as the center, traverse the door volume values ​​of the adjacent households, and take the household with the highest door volume value as the target household. The location of the noise source corresponding to the noise-affected household is determined based on the location of the volume detection device outside the target household door and the location 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 a data cloud platform according to claim 1, characterized in that, The resident information for each household includes the age, gender, and occupation of each resident.

5. The intelligent building remote operation and maintenance system based on a data cloud platform according to claim 4, characterized in that, The process of generating resident profiles for each household based on their individual resident information includes: The age of each resident in each household is divided into corresponding age groups; The occupation of each resident in each household is assigned to a corresponding occupation type; Each household's resident profile is generated based on their age group, occupation, and gender.

6. The intelligent building remote operation and maintenance system based on a data cloud platform according to claim 1, characterized in that, After the user's ID number is sent to the monitoring display screen via the network for display, the data cloud platform is also used for: Get the location of all building patrol personnel; Obtain the location of each household affected by noise; The building patrol personnel closest to each noise-affected household are determined based on the locations of all building patrol personnel and the locations of each noise-affected household. Send key inspection information to the building patrol personnel closest to the noise-affected household; wherein, the key inspection information includes the household number of the noise-affected household and the noise handling matters.

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