Intelligent community service management system

Abstract

The invention relates to an intelligent community service management system which comprises a preview judgment device, a shooting execution device, a primary mapping mechanism, a secondary mapping mechanism, a final mapping mechanism, a characteristic application mechanism and a width identification mechanism. The intelligent community service management system is easy to operate, safe and reliable.

Description

Technical Field

[0001] The present invention relates to the field of smart communities, and in particular to a smart community service management system. Background Art

[0002] Smart community management needs to be people-oriented, and the user experience should be as comfortable as possible through the use of various new technologies. For example, CN119130355A discloses a smart community comprehensive service method, system, equipment and product, which relates to the field of smart community services. The method includes: obtaining sensor data in the current community; the sensor data in the current community includes: residents' behavior data, equipment data and environmental data; using a user behavior analysis model to perform data mining and predictive analysis on the sensor data in the current community to obtain future behavior trends; the user behavior analysis model is a deep learning network or a machine learning algorithm; using a machine learning model to analyze the future behavior trends to obtain residents' needs; the machine learning model is a model trained using a cloud database and deployed in an edge computing node. This technology can ensure the efficient operation of the system and the rapid response of services, while providing intelligent and personalized service recommendations to meet the all-round needs of residents and improve user experience.

[0003] CN119106855A discloses a smart community service management platform for business handling, which relates to the field of intelligent management technology. By acquiring the target maintenance information received by the platform, identifying the target maintenance information, and determining the key data set, if the scheduled maintenance time is the current node, the business type and the fault attribute are input into the operation and maintenance related database for a layer of matching, and the first layer of idle personnel set is determined. If the first layer of idle personnel set is not 0, the real-time location information of the first layer of idle personnel is obtained, and intelligent decisions are made based on the real-time location information and the preset personnel score to determine the first maintenance personnel, and the target maintenance information is sent to the first maintenance personnel. The target maintenance task is performed based on the fault coordinates, which solves the technical problem that the existing technology has insufficient smart community management, resulting in low efficiency and quality of community maintenance services. It achieves efficient management and optimization of maintenance services, and improves the technical effect of maintenance efficiency and quality. Summary of the invention

[0004] In order to solve the above problems, the present invention provides a smart community service management system, which introduces a specifically designed width identification mechanism for sending a prohibition release instruction to the access control device of the underground garage when the physical width corresponding to the intelligently analyzed car is greater than the upper limit of the width of the car allowed to be parked in the underground garage, and sends a run release instruction to the access control device of the underground garage when the physical width corresponding to the intelligently analyzed car is less than or equal to the upper limit of the width of the car allowed to be parked in the underground garage, thereby realizing dynamic access control of the underground garage based on the latest intelligent detection result of the width of the car requested to be parked, and improving the intelligence level of underground garage management, wherein, based on the color imaging characteristics corresponding to the car, the image block where the car is located is identified from the instant sharpened image obtained by optimizing the scene picture, the number of pixel rows and the number of pixel columns occupied by the image block are obtained, and the smaller value of the two quantities is used as the width reference value, and the physical width corresponding to the car is determined based on the width reference value and the shooting focal length corresponding to the instant sharpened image, and the width reference value and the shooting focal length corresponding to the instant sharpened image are both positively correlated with the determined physical width corresponding to the car.

[0005] According to the present invention, a smart community service management system is provided, the system comprising: A preview judgment device is used to judge whether there is a car target with an imaging depth of field shallower than a preset depth of field threshold in a low-resolution preview picture collected at the entrance opening of the underground garage, and when it is judged that there is a car target with an imaging depth of field shallower than the preset depth of field threshold, the low-resolution preview picture is switched to a high-resolution real shot picture; A shooting execution device, connected to the preview judgment device, is used to execute the collection of preview pictures or the collection of real pictures facing the entrance opening of the underground garage; A primary mapping mechanism, connected to the shooting execution device, is used to sequentially perform a morphological process of first dilation and then erosion on the received real shot pictures to obtain and output a corresponding morphologically processed image; A secondary mapping mechanism, connected to the primary mapping mechanism, for performing Butterworth low-pass filtering on the received morphologically processed image to obtain and output a corresponding content filtered image; A final mapping mechanism, connected to the secondary mapping mechanism, for performing a sharpening process based on a USM filter on the received content filtered image to obtain and output a corresponding instant sharpened image; a characteristic application mechanism connected to the final mapping mechanism and comprising a characteristic processing component, a block operation component and a parameter analysis component, wherein the block operation component is connected to the characteristic processing component and the parameter analysis component respectively, and the characteristic application mechanism is used to identify the image block where the car is located from the received instant sharpened image based on the color imaging characteristics corresponding to the car, obtain the number of pixel rows and the number of pixel columns occupied by the image block, take the smaller value of the two quantities as the width reference value, determine the physical width corresponding to the car based on the width reference value and the shooting focal length corresponding to the instant sharpened image, and both the width reference value and the shooting focal length corresponding to the instant sharpened image are positively correlated with the determined physical width corresponding to the car; A width identification mechanism connected to the characteristic application mechanism, used to send a prohibition release instruction to the access control device of the underground garage when the received physical width corresponding to the car is greater than the upper limit of the width of the car allowed to be parked in the underground garage; The width identification mechanism is further used to send a run release instruction to the access control device of the underground garage when the received physical width corresponding to the car is less than or equal to the upper limit of the width of the car allowed to be parked in the underground garage; Among them, the characteristic application mechanism is used to identify the image block where the car is located from the received instant sharpened image based on the color imaging characteristics corresponding to the car, obtain the number of pixel rows and the number of pixel columns occupied by the image block, take the smaller value of the two quantities as the width reference value, and determine the corresponding physical width of the car based on the width reference value and the shooting focal length corresponding to the instant sharpened image. The width reference value and the shooting focal length corresponding to the instant sharpened image are both positively correlated with the determined physical width corresponding to the car, including: the color imaging characteristics corresponding to the car are the value distribution intervals corresponding to each color component of the car in the CMYK color space.

[0006] Therefore, the present invention has at least the following three beneficial technical effects: Firstly: a characteristic application mechanism including a characteristic processing component, a block operation component and a parameter analysis component is adopted to provide a reliable hardware foundation for the intelligent measurement of the physical width of the automobile; Secondly: based on the color imaging characteristics corresponding to the car, the image block where the car is located is identified from the received instant sharpened image, the number of pixel rows and the number of pixel columns occupied by the image block are obtained, the smaller value of the two quantities is used as the width reference value, and the physical width corresponding to the car is determined based on the width reference value and the shooting focal length corresponding to the instant sharpened image, and the width reference value and the shooting focal length corresponding to the instant sharpened image are both positively correlated with the determined physical width corresponding to the car; Again: a width identification mechanism is introduced to send a prohibition release instruction to the access control device of the underground garage when the physical width corresponding to the received car is greater than the upper limit of the width of the car allowed to be parked in the underground garage; and to send an operation release instruction to the access control device of the underground garage when the physical width corresponding to the received car is less than or equal to the upper limit of the width of the car allowed to be parked in the underground garage, thereby realizing dynamic access control of the underground garage based on the latest intelligent detection result of the width of the car requested to be parked, and improving the intelligence level of underground garage management.

[0007] The smart community service management system of the present invention is simple to operate, safe and reliable. Since it can perform data analysis based on various on-site visual data to obtain the physical width of the current car, when the physical width corresponding to the current car is greater than the upper limit of the width of the car allowed to be parked in the underground garage, a prohibition release instruction is sent to the access control device of the underground garage, thereby improving the intelligent level of underground garage management. DETAILED DESCRIPTION

[0008] Data, also known as observations, are the results of experiments, measurements, observations, surveys, etc. The data processed in data analysis are divided into qualitative data and quantitative data. Data that can only be classified into a certain category and cannot be measured with numerical values ​​is called qualitative data. Qualitative data that is presented as categories but not distinguished in order is categorized data, such as gender, brand, etc.; qualitative data that is presented as categories but distinguished in order is ordinal data, such as education level, quality grade of goods, etc. The purpose of data analysis is to concentrate and extract the information hidden in a large amount of seemingly chaotic data, so as to find out the internal laws of the object of study.

[0009] In the prior art, data analysis lacks reliable and effective solutions in some specific application areas. For example, for underground garages including multi-story parking structures, there are strict restrictions on the width of cars entering. If a car that is too wide enters the underground garage, not only will it be difficult for the car to park safely, but even if it is barely parked, it will cause damage to surrounding vehicles and components of the multi-story parking structure during the parking space conversion process.

[0010] The following is a detailed description of an embodiment of the smart community service management system of the present invention.

[0011] Example 1

[0012] The smart community service management system shown in the automotive embodiment of the present invention includes: A preview judgment device is used to judge whether there is a car target with an imaging depth of field shallower than a preset depth of field threshold in a low-resolution preview picture collected at the entrance opening of the underground garage, and when it is judged that there is a car target with an imaging depth of field shallower than the preset depth of field threshold, the low-resolution preview picture is switched to a high-resolution real shot picture; For example, the MATLAB toolbox may be selected to simulate and implement a data processing process of judging whether there is a car target whose imaging depth of field is shallower than a preset depth of field threshold value on a low-resolution preview picture collected at the entrance opening of an underground garage, and switching the low-resolution preview picture to a high-resolution real-shot picture when it is judged that there is a car target whose imaging depth of field is shallower than the preset depth of field threshold value; A shooting execution device, connected to the preview judgment device, is used to execute the collection of preview pictures or the collection of real pictures facing the entrance opening of the underground garage; A primary mapping mechanism, connected to the shooting execution device, is used to sequentially perform a morphological process of first dilation and then erosion on the received real shot pictures to obtain and output a corresponding morphologically processed image; A secondary mapping mechanism, connected to the primary mapping mechanism, for performing Butterworth low-pass filtering on the received morphologically processed image to obtain and output a corresponding content filtered image; A final mapping mechanism, connected to the secondary mapping mechanism, for performing a sharpening process based on a USM filter on the received content filtered image to obtain and output a corresponding instant sharpened image; a characteristic application mechanism connected to the final mapping mechanism and comprising a characteristic processing component, a block operation component and a parameter analysis component, wherein the block operation component is connected to the characteristic processing component and the parameter analysis component respectively, and the characteristic application mechanism is used to identify the image block where the car is located from the received instant sharpened image based on the color imaging characteristics corresponding to the car, obtain the number of pixel rows and the number of pixel columns occupied by the image block, take the smaller value of the two quantities as the width reference value, determine the physical width corresponding to the car based on the width reference value and the shooting focal length corresponding to the instant sharpened image, and both the width reference value and the shooting focal length corresponding to the instant sharpened image are positively correlated with the determined physical width corresponding to the car; A width identification mechanism connected to the characteristic application mechanism, used to send a prohibition release instruction to the access control device of the underground garage when the received physical width corresponding to the car is greater than the upper limit of the width of the car allowed to be parked in the underground garage; The width identification mechanism is further used to send a run release instruction to the access control device of the underground garage when the received physical width corresponding to the car is less than or equal to the upper limit of the width of the car allowed to be parked in the underground garage; The characteristic application mechanism is used to identify the image block where the car is located from the received instant sharpened image based on the color imaging characteristics corresponding to the car, obtain the number of pixel rows and the number of pixel columns occupied by the image block, take the smaller value of the two quantities as the width reference value, and determine the physical width corresponding to the car based on the width reference value and the shooting focal length corresponding to the instant sharpened image, and the width reference value and the shooting focal length corresponding to the instant sharpened image are both positively correlated with the determined physical width corresponding to the car, including: the color imaging characteristics corresponding to the car are the distribution intervals of the values ​​corresponding to the various color components of the car in the CMYK color space; The preview judgment device is used to judge whether there is a car target with an imaging depth of field shallower than a preset depth of field threshold in the low-resolution preview picture collected at the entrance opening of the underground garage, and when it is judged that there is a car target with an imaging depth of field shallower than the preset depth of field threshold, the low-resolution preview picture is switched to a high-resolution real-shot picture, including: identifying one or more car targets in the low-resolution preview picture collected at the entrance opening of the underground garage based on the appearance imaging characteristics of the car target; The preview judgment device is used to judge whether there is a car target with an imaging depth of field shallower than a preset depth of field threshold value in a low-resolution preview picture collected at the entrance opening of the underground garage, and when it is judged that there is a car target with an imaging depth of field shallower than the preset depth of field threshold value, the low-resolution preview picture is switched to a high-resolution real-shot picture, and further includes: determining the imaging depth of field of the car target based on each depth of field value corresponding to each occupied pixel point of the imaging image block of each car target in the preview picture; Among them, determining the imaging depth of field of each automobile target in the preview screen based on the respective depth of field values ​​corresponding to the respective occupied pixel points of the imaging image blocks of each automobile target in the preview screen includes: performing averaging processing on multiple depth of field values ​​obtained by removing the maximum value and the minimum value of the respective depth of field values ​​corresponding to the respective occupied pixel points of the imaging image blocks of each automobile target in the preview screen to obtain the imaging depth of field of the automobile target.

[0013] Example 2

[0014] Embodiment 2 of the present invention shows a smart community service management system.

[0015] Different from Example 1, the smart community service management system in Example 2 may also include the following components: A humidity measuring mechanism, comprising a plurality of humidity measuring units, for respectively measuring current surface humidity values ​​of the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism; Wherein, the humidity measuring mechanism comprises a plurality of humidity measuring units, which are used to respectively measure the current surface humidity values ​​of the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism, including: the plurality of humidity measuring units respectively used by the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism are a plurality of non-contact humidity sensors; Wherein, the humidity measuring mechanism comprises a plurality of humidity measuring units for respectively measuring the current surface humidity values ​​of the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism, and further comprises: the internal structures of the plurality of non-contact humidity sensors respectively used by the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism are the same; The humidity measuring mechanism includes a plurality of humidity measuring units for respectively measuring the current surface humidity values ​​of the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism, and further includes: a plurality of non-contact humidity sensors respectively used by the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism have the same humidity measurement upper limit threshold and humidity measurement lower limit threshold; Among them, the humidity measuring mechanism includes multiple humidity measuring units, which are used to respectively measure the current surface humidity values ​​of the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism, and also includes: the multiple non-contact humidity sensors respectively used for the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism are at equal distances from the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism.

[0016] Example 3

[0017] Embodiment 3 of the present invention shows a smart community service management system.

[0018] Different from Example 1, the smart community service management system in Example 3 may also include the following components: an immediate notification mechanism, connected to the plurality of non-contact humidity sensors respectively used by the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism, for executing corresponding humidity alarm actions based on humidity measurement results of the plurality of non-contact humidity sensors respectively used by the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism; The instant notification mechanism is respectively connected to a plurality of non-contact humidity sensors respectively used by the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism, and is used to perform corresponding humidity alarm actions based on humidity measurement results of the plurality of non-contact humidity sensors respectively used by the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism, including: a humidity receiving unit, a humidity judgment unit and a notification execution unit built into the instant notification mechanism; And wherein, the instant notification mechanism is respectively connected to multiple non-contact humidity sensors respectively used by the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism, and is used to perform corresponding humidity alarm actions based on the humidity measurement results of the multiple non-contact humidity sensors respectively used by the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism. It also includes: within the instant notification mechanism, the humidity receiving unit, the humidity judgment unit and the notification execution unit are connected in sequence.

[0019] In addition, in the smart community service management system, the characteristic application mechanism is used to identify the image block where the car is located from the received instant sharpened image based on the color imaging characteristics corresponding to the car, obtain the number of pixel rows and pixel columns occupied by the image block, take the smaller value of the two quantities as the width reference value, and determine the physical width corresponding to the car based on the width reference value and the shooting focal length corresponding to the instant sharpened image. The width reference value and the shooting focal length corresponding to the instant sharpened image are both positively correlated with the determined physical width corresponding to the car, and also include: using a numerical conversion formula to represent a one-to-two numerical conversion relationship between the determined physical width corresponding to the car and the width reference value and the shooting focal length corresponding to the instant sharpened image.

[0020] The present embodiments are to be considered in all respects as illustrative and not restrictive, and all changes coming within the meaning and equivalency range of the appended claims are intended to be embraced within their scope.

Claims

1. A smart community service management system, characterized in that: The system comprises: A preview judgment device is used to judge whether there is a car target with an imaging depth of field shallower than a preset depth of field threshold in a low-resolution preview picture collected at the entrance opening of the underground garage, and when it is judged that there is a car target with an imaging depth of field shallower than the preset depth of field threshold, the low-resolution preview picture is switched to a high-resolution real shot picture; A shooting execution device, connected to the preview judgment device, is used to execute the collection of preview pictures or real-shot pictures facing the entrance opening of the underground garage; A primary mapping mechanism, connected to the shooting execution device, is used to sequentially perform a morphological process of first dilation and then erosion on the received real shot pictures to obtain and output a corresponding morphologically processed image; A secondary mapping mechanism, connected to the primary mapping mechanism, for performing Butterworth low-pass filtering on the received morphologically processed image to obtain and output a corresponding content-filtered image; A final mapping mechanism, connected to the secondary mapping mechanism, for performing a sharpening process based on a USM filter on the received content filtered image to obtain and output a corresponding instant sharpened image; a characteristic application mechanism connected to the final mapping mechanism and comprising a characteristic processing component, a block operation component and a parameter analysis component, wherein the block operation component is connected to the characteristic processing component and the parameter analysis component respectively, and the characteristic application mechanism is used to identify the image block where the car is located from the received instant sharpened image based on the color imaging characteristics corresponding to the car, obtain the number of pixel rows and the number of pixel columns occupied by the image block, take the smaller value of the two quantities as the width reference value, determine the physical width corresponding to the car based on the width reference value and the shooting focal length corresponding to the instant sharpened image, and both the width reference value and the shooting focal length corresponding to the instant sharpened image are positively correlated with the determined physical width corresponding to the car; A width identification mechanism connected to the characteristic application mechanism, used to send a prohibition release instruction to the access control device of the underground garage when the received physical width corresponding to the car is greater than the upper limit of the width of the car allowed to be parked in the underground garage; The width identification mechanism is further used to send a run release instruction to the access control device of the underground garage when the received physical width corresponding to the car is less than or equal to the upper limit of the width of the car allowed to be parked in the underground garage; Among them, the characteristic application mechanism is used to identify the image block where the car is located from the received instant sharpened image based on the color imaging characteristics corresponding to the car, obtain the number of pixel rows and the number of pixel columns occupied by the image block, take the smaller value of the two quantities as the width reference value, and determine the corresponding physical width of the car based on the width reference value and the shooting focal length corresponding to the instant sharpened image. The width reference value and the shooting focal length corresponding to the instant sharpened image are both positively correlated with the determined physical width corresponding to the car, including: the color imaging characteristics corresponding to the car are the value distribution intervals corresponding to each color component of the car in the CMYK color space.

2. The smart community service management system according to claim 1, characterized in that: The preview judgment device is used to judge whether there is a car target with an imaging depth of field shallower than a preset depth of field threshold in a low-resolution preview picture collected at the entrance opening of the underground garage, and when it is judged that there is a car target with an imaging depth of field shallower than the preset depth of field threshold, the low-resolution preview picture is switched to a high-resolution real-shot picture, including: identifying one or more car targets in the low-resolution preview picture collected at the entrance opening of the underground garage based on the appearance imaging characteristics of the car target; The preview judgment device is used to judge whether there is a car target with an imaging depth of field shallower than a preset depth of field threshold value in a low-resolution preview picture collected at the entrance opening of the underground garage, and when it is judged that there is a car target with an imaging depth of field shallower than the preset depth of field threshold value, the low-resolution preview picture is switched to a high-resolution real-shot picture, and further includes: determining the imaging depth of field of the car target based on each depth of field value corresponding to each occupied pixel point of the imaging image block of each car target in the preview picture; Among them, determining the imaging depth of field of each automobile target in the preview screen based on the respective depth of field values ​​corresponding to the respective occupied pixel points of the imaging image blocks of each automobile target in the preview screen includes: performing averaging processing on multiple depth of field values ​​obtained by removing the maximum value and the minimum value of the respective depth of field values ​​corresponding to the respective occupied pixel points of the imaging image blocks of each automobile target in the preview screen to obtain the imaging depth of field of the automobile target.

3. The smart community service management system according to claim 2, characterized in that: The system further comprises: A humidity measuring mechanism, comprising a plurality of humidity measuring units, for respectively measuring current surface humidity values ​​of the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism; Among them, the humidity measuring mechanism includes multiple humidity measuring units, which are used to respectively measure the current surface humidity values ​​of the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism, including: the multiple humidity measuring units respectively used for the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism are multiple non-contact humidity sensors.

4. The smart community service management system according to claim 3, characterized in that: The humidity measuring mechanism includes a plurality of humidity measuring units for respectively measuring the current surface humidity values ​​of the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism. The mechanism also includes: the internal structures of the plurality of non-contact humidity sensors respectively used for the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism are the same.

5. The smart community service management system according to claim 3, characterized in that: The humidity measuring mechanism includes a plurality of humidity measuring units for respectively measuring the current surface humidity values ​​of the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism, and further includes: a plurality of non-contact humidity sensors respectively used for the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism have the same humidity measurement upper limit threshold and humidity measurement lower limit threshold.

6. The smart community service management system according to claim 5, characterized in that: The humidity measuring mechanism includes a plurality of humidity measuring units for respectively measuring the current surface humidity values ​​of the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism, and further includes: a plurality of non-contact humidity sensors respectively used for the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism are at equal distances from the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism.

7. The smart community service management system according to any one of claims 3 to 6, characterized in that: The system further comprises: The instant notification mechanism is respectively connected to the multiple non-contact humidity sensors respectively used by the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism, and is used to perform corresponding humidity alarm actions based on the humidity measurement results of the multiple non-contact humidity sensors respectively used by the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism.

8. The smart community service management system according to claim 7, characterized in that: The instant notification mechanism is respectively connected to multiple non-contact humidity sensors respectively used by the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism, and is used to perform corresponding humidity alarm actions based on the humidity measurement results of the multiple non-contact humidity sensors respectively used by the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism, including: the instant notification mechanism has a built-in humidity receiving unit, a humidity judgment unit and a notification execution unit.

9. The smart community service management system according to claim 8, characterized in that: The instant notification mechanism is respectively connected to multiple non-contact humidity sensors respectively used by the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism, and is used to perform corresponding humidity alarm actions based on the humidity measurement results of the multiple non-contact humidity sensors respectively used by the primary mapping mechanism, the secondary mapping mechanism, the final mapping mechanism and the characteristic application mechanism. It also includes: within the instant notification mechanism, the humidity receiving unit, the humidity judgment unit and the notification execution unit are connected in sequence.