CN112866647A - Intelligent property management system based on smart community - Google Patents

Abstract

The invention discloses a property intelligent management system based on a smart community, and relates to the technical field of smart communities; the invention is provided with a safety monitoring module, which comprises a security monitoring unit and a fire monitoring unit; the safety monitoring module monitors the entrance and exit, strangers and fire conditions in the community through feedback data, and timely generates a safety early warning signal to be sent to the display control module, so that the safety factor in the community is improved, and meanwhile, the labor cost is reduced; the garbage classification monitoring module is arranged, the scanned image is acquired through the X-ray scanner, the accuracy of garbage classification is analyzed according to the scanned image, the popularization of garbage classification is facilitated to be improved, and meanwhile the efficiency of garbage classification is guaranteed; the display control module is arranged, so that the working personnel can timely arrive at the second position for processing, and meanwhile, the safety early warning signal is pushed to the intelligent terminal of the resident, and the safety of the resident is guaranteed.

Description

Intelligent property management system based on smart community

Technical Field

The invention belongs to the field of intelligent communities, relates to an intelligent management technology, and particularly relates to a property intelligent management system based on an intelligent community.

Background

The property management is an activity in which an owner manages buildings, facilities, and sites shared by all the building-sharing units and building sections, or a property service company is requested, and other managers manage the buildings, facilities, equipment, sites, and sites shared by the owner.

The invention patent with publication number CN110415401A provides an intelligent property management system based on an intelligent community, which comprises a vehicle management subsystem, a security protection management subsystem, a fire management subsystem, a management server, a property planning subsystem, an intelligent display terminal and an information push management terminal; the management server is respectively connected with the vehicle management subsystem, the security management subsystem, the property management subsystem, the intelligent display terminal and the information push management terminal, and the intelligent display terminal is connected with the information push management terminal.

According to the scheme, the vehicle management subsystem, the security management subsystem and the fire management subsystem can be used for detecting vehicles, security and fire safety in the community, and treating the vehicles, abnormal identity visitors and fire conditions in the corridor according to monitored information, so that the property management efficiency is improved, the safety and the order of the community can be improved, and the property and personnel safety of the community can be maintained; however, although the above scheme performs monitoring on a conventional scene to form a completed property management system, intelligent management of smart community properties cannot be realized; therefore, the above solution still needs further improvement.

Disclosure of Invention

In order to solve the problems existing in the scheme, the invention provides a property intelligent management system based on a smart community.

The purpose of the invention can be realized by the following technical scheme: a property intelligent management system based on an intelligent community comprises a central processing unit, an information pushing module, a display control module, a data storage module, a safety monitoring module, an intelligent internet of things module and a garbage classification monitoring module;

the intelligent internet of things module is in communication connection with the data acquisition equipment, and acquires feedback data through the data acquisition equipment and respectively sends the feedback data to the safety monitoring module, the garbage classification monitoring module and the data storage module;

the garbage classification monitoring module is in communication connection with the intelligent garbage can; the intelligent garbage can comprises a high-definition camera, an X-ray scanner, a buzzer, a garbage display screen and a first image processor; the high-definition camera is arranged outside the intelligent garbage can, and the X-ray scanner is arranged on the inner side of the intelligent garbage can; the garbage classification monitoring module is used for monitoring the garbage classification in the community, and comprises:

when a resident puts the garbage bag into the intelligent garbage can, a scanning image of the garbage bag is obtained through an X-ray scanner;

acquiring a recognition model through a data storage module; inputting the scanned image into an identification model to obtain a garbage label;

carrying out consistency matching on the garbage label and the garbage can label; the garbage can label comprises dry garbage, wet garbage, harmful garbage and recyclable matters;

when the garbage label is inconsistent with the garbage can label, judging that garbage classification fails, alarming through a buzzer, and simultaneously starting a high-definition camera outside the intelligent garbage can; the method comprises the following steps that a resident opens a garbage bag to align with a high-definition camera, a garbage image is obtained through the high-definition camera, a garbage label corresponding to garbage in the garbage image is identified by a first image processor through combination of an image identification method, and the garbage label is displayed to the resident through a garbage display screen;

the safety monitoring module comprises a security monitoring unit and a fire monitoring unit.

Preferably, the information pushing module is used for pushing an information report to an intelligent terminal of a resident according to a set period, the information pushing module is in communication connection with the intelligent terminal of the resident, the information report comprises a security report, a property charge payment and use report, a fire report and a garbage classification report, and the set period comprises every week and every month.

Preferably, the display control module is used for showing the picture that high definition digtal camera shot in real time, simultaneously, the display control module still schedules the staff according to safe early warning signal, includes:

when the display control module receives the safety early warning signal, positioning an intelligent terminal of a worker to obtain the position of the worker, and marking the position as a first position; the safety early warning signal comprises a security early warning signal and a fire early warning signal;

acquiring a sending position of the safety early warning signal and marking the sending position as a second position;

planning a path between the first position and the second position through a third-party map platform and marking the path as a target path; the third-party map platform comprises a Baidu map, an Tencent map and a Gagde map;

selecting the worker with the shortest target path and marking the worker as a dispatcher;

sending the target path, the second position and the safety early warning signal to dispatching personnel; and meanwhile, the safety early warning signal and the second position are sent to the intelligent terminal of the resident.

Preferably, the step of establishing the recognition model includes:

acquiring a junk picture through the Internet, and setting a junk tag for the junk picture; the garbage label comprises dry garbage, wet garbage, harmful garbage and recyclable matters;

dividing the garbage pictures into a training set and a testing set according to a set proportion; the set ratio comprises 4:1, 3:1 and 4: 3;

constructing a neural network model; the neural network model comprises an error reverse propagation neural network model, an RBF neural network model and a convolution neural network model;

inputting the training set, the test set and the corresponding garbage labels into a neural network model for training; when the iteration times and the learning precision meet the requirements, judging that the training of the neural network model is finished, and marking the trained neural network model as an identification model;

and sending the recognition model to a data storage module for storage.

Preferably, the security monitoring unit comprises an entrance monitoring node and an exit monitoring node and a public area monitoring node, the entrance monitoring node is in communication connection with the intelligent barrier gate, and the intelligent barrier gate comprises a barrier gate controller and a barrier gate display screen; the access & exit monitoring node is used for monitoring vehicles entering and exiting the community, and comprises:

when the vehicle runs to an entrance and an exit of a community, acquiring a license plate image of the vehicle through an image acquisition assembly and sending the license plate image to an entrance and exit monitoring node;

preprocessing the license plate image to extract the license plate number and marking the license plate number as a verification license plate number; the image preprocessing comprises image segmentation, image denoising and gray level transformation;

acquiring a license plate white list through a data storage module; the license plate white list comprises license plate numbers of residents in the community and temporary license plate numbers, wherein the temporary license plate numbers refer to visitor license plate numbers registered in advance by the residents in the community through an intelligent terminal; the intelligent terminal comprises an intelligent mobile phone, a tablet computer and a notebook computer;

analyzing and matching the verified license plate number with the license plate numbers in the license plate white list to obtain a matching degree; when the matching degree is greater than or equal to the threshold value of the matching degree, judging that the license plate number is successfully matched, and controlling the intelligent barrier to open the released vehicle through the barrier controller; when the matching degree is smaller than the threshold value of the matching degree, judging that the matching of the license plate number is failed, and simultaneously sending a matching failure signal and a property duty call to a gateway display screen; the matching degree threshold is greater than 0.95;

sending the images of the vehicles passing through the community entrance and exit to a data storage module for storage through a central processing unit;

the public area detection node is used for monitoring strangers in a public area, and comprises the following steps:

acquiring a public area image through an image acquisition assembly, extracting a face image from the public area image, and marking the face image as a face image after image preprocessing;

acquiring images in an image database in a data storage module and marking the images as standard images; the image database comprises face images and temporary face images of residents in the community; the temporary facial image refers to a visitor facial image uploaded by community residents through an intelligent terminal, the temporary facial image has a storage period, and when the storage time of the temporary facial image exceeds the storage period, the temporary facial image is automatically deleted from an image database; the image database is encrypted;

analyzing and matching the face image and the standard to obtain similarity; when the similarity is smaller than a similarity threshold value, marking the person corresponding to the face image as an external person, acquiring the position of the external person and marking the position as an initial position; the similarity threshold is greater than 0.97;

a circular area is defined by taking the initial position as a circle center and taking R1 as a radius and is marked as a first area; acquiring the total number of coming persons inside and outside the first area; the R1 is a radius set value, and R1 is more than 10 m;

when the total number of the external people in the first area exceeds the number threshold, generating a security early warning signal and sending the security early warning signal to a display control module;

and sending the total number of the external personnel and the sending record of the security early warning signal to a data storage module for storage through a central processing unit.

Preferably, the fire monitoring unit is used for monitoring a fire in a community, and comprises:

acquiring a fire signal through a fire sensor and sending the fire signal to a fire monitoring unit, and acquiring a position where the fire signal is sent through the fire monitoring unit and marking the position as a fire position;

generating a fire early warning signal, and sending the fire early warning signal and the fire position to a display control module;

and sending the fire position and the fire early warning signal sending record to the data storage module for storage through the central processing unit.

Preferably, the data acquisition equipment comprises an image acquisition unit, a fire sensor and an intelligent garbage can; the feedback data comprises a license plate image, a face image, a fire signal and a scanning image; the license plate image and the face image are acquired through the image acquisition unit, the fire signal is acquired through the fire sensor, and the garbage image and the X-ray image are acquired through the intelligent garbage can.

Preferably, the image acquisition unit comprises an image acquisition assembly and a second image processor, the image acquisition assembly comprises an action holder and a high-definition camera, and the image acquisition assembly is uniformly arranged at an entrance and an exit of the community and in the community; the image acquisition assembly realizes full coverage of the inside of the community.

Compared with the prior art, the invention has the beneficial effects that:

1. the invention is provided with a safety monitoring module, which comprises a security monitoring unit and a fire monitoring unit; the safety monitoring module monitors the entrance and exit, strangers and fire conditions in the community through feedback data, timely generates a safety early warning signal and sends the safety early warning signal to the display control module, safety factors in the community are improved beneficially, and meanwhile labor cost is reduced.

2. The invention is provided with a garbage classification monitoring module, which is used for monitoring garbage classification in a community; the waste classification monitoring module acquires a scanned image through the X-ray scanner, analyzes the accuracy of waste classification according to the scanned image, and gives an alarm through the buzzer when the waste classification is inaccurate, and meanwhile, the high-definition camera is utilized to help residents to determine the type of waste, so that the popularization of waste classification is facilitated, and the efficiency of waste classification is guaranteed.

3. The high-definition camera real-time display system is provided with a display control module, the display control module is used for displaying pictures shot by the high-definition camera in real time, and meanwhile, the display control module also schedules workers according to a safety early warning signal; the display control module ensures that the staff can reach the second position in time to process, and meanwhile, the safety early warning signal is pushed to the intelligent terminal of the resident, so that the safety of the resident is guaranteed.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic diagram of the principle of the present invention.

Detailed Description

The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1, a property intelligent management system based on an intelligent community includes a central processing unit, an information pushing module, a display control module, a data storage module, a security monitoring module, an intelligent internet of things module, and a garbage classification monitoring module;

the intelligent internet of things module is in communication connection with the data acquisition equipment, and acquires feedback data through the data acquisition equipment and respectively sends the feedback data to the safety monitoring module, the garbage classification monitoring module and the data storage module;

the garbage classification monitoring module is in communication connection with the intelligent garbage can; the intelligent garbage can comprises a high-definition camera, an X-ray scanner, a buzzer, a garbage display screen and a first image processor; the high-definition camera is arranged outside the intelligent garbage can, and the X-ray scanner is arranged on the inner side of the intelligent garbage can; the garbage classification monitoring module is used for monitoring the garbage classification in the community, and comprises:

when a resident puts the garbage bag into the intelligent garbage can, a scanning image of the garbage bag is obtained through an X-ray scanner;

acquiring a recognition model through a data storage module; inputting the scanned image into an identification model to obtain a garbage label;

carrying out consistency matching on the garbage label and the garbage can label; the garbage can label comprises dry garbage, wet garbage, harmful garbage and recyclable matters;

when the garbage label is inconsistent with the garbage can label, judging that garbage classification fails, alarming through a buzzer, and simultaneously starting a high-definition camera outside the intelligent garbage can; the method comprises the following steps that a resident opens a garbage bag to align with a high-definition camera, a garbage image is obtained through the high-definition camera, a garbage label corresponding to garbage in the garbage image is identified by a first image processor through combination of an image identification method, and the garbage label is displayed to the resident through a garbage display screen;

the safety monitoring module comprises a security monitoring unit and a fire monitoring unit.

Furthermore, the information pushing module is used for pushing the information report to the intelligent terminal of the residents according to a set period, the information pushing module is in communication connection with the intelligent terminal of the residents, the information report comprises a security report, a property charge payment and use report, a fire report and a garbage classification report, and the set period comprises every week and every month.

Further, show control module and be used for showing the picture that high definition digtal camera was shot in real time, simultaneously, show control module and still schedule the staff according to safe early warning signal, include:

when the display control module receives the safety early warning signal, positioning an intelligent terminal of a worker to obtain the position of the worker, and marking the position as a first position; the safety early warning signal comprises a security early warning signal and a fire early warning signal;

acquiring a sending position of the safety early warning signal and marking the sending position as a second position;

planning a path between the first position and the second position through a third-party map platform and marking the path as a target path; the third-party map platform comprises a Baidu map, an Tencent map and a Gagde map;

selecting the worker with the shortest target path and marking the worker as a dispatcher;

sending the target path, the second position and the safety early warning signal to dispatching personnel; and meanwhile, the safety early warning signal and the second position are sent to the intelligent terminal of the resident.

Further, the step of establishing the recognition model comprises:

acquiring a junk picture through the Internet, and setting a junk tag for the junk picture; the garbage label comprises dry garbage, wet garbage, harmful garbage and recyclable matters;

dividing the garbage pictures into a training set and a testing set according to a set proportion; the set ratio comprises 4:1, 3:1 and 4: 3;

constructing a neural network model; the neural network model comprises an error reverse propagation neural network model, an RBF neural network model and a convolution neural network model;

inputting the training set, the test set and the corresponding garbage labels into a neural network model for training; when the iteration times and the learning precision meet the requirements, judging that the training of the neural network model is finished, and marking the trained neural network model as an identification model;

and sending the recognition model to a data storage module for storage.

Furthermore, the security monitoring unit comprises an entrance monitoring node and an exit monitoring node and a public area monitoring node, the entrance monitoring node is in communication connection with the intelligent barrier gate, and the intelligent barrier gate comprises a barrier gate controller and a barrier gate display screen; the access & exit monitoring node is used for monitoring the vehicle that gets in and out the community, includes:

when the vehicle runs to an entrance and an exit of a community, acquiring a license plate image of the vehicle through an image acquisition assembly and sending the license plate image to an entrance and exit monitoring node;

preprocessing the license plate image to extract the license plate number and marking the license plate number as a verification license plate number; the image preprocessing comprises image segmentation, image denoising and gray level transformation;

acquiring a license plate white list through a data storage module; the license plate white list comprises license plate numbers of residents in the community and temporary license plate numbers, wherein the temporary license plate numbers refer to visitor license plate numbers registered in advance by the residents in the community through the intelligent terminal; the intelligent terminal comprises an intelligent mobile phone, a tablet computer and a notebook computer;

analyzing and matching the verified license plate number with the license plate numbers in the license plate white list to obtain a matching degree; when the matching degree is greater than or equal to the threshold value of the matching degree, judging that the license plate number is successfully matched, and controlling the intelligent barrier to open the released vehicle through the barrier controller; when the matching degree is smaller than the threshold value of the matching degree, judging that the matching of the license plate number is failed, and simultaneously sending a matching failure signal and a property duty call to a gateway display screen; the threshold value of the matching degree is greater than 0.95;

sending the images of the vehicles passing through the community entrance and exit to a data storage module for storage through a central processing unit;

the public area detection node is used for monitoring strangers in a public area, and comprises the following steps:

acquiring a public area image through an image acquisition assembly, extracting a face image from the public area image, and marking the face image as a face image after image preprocessing;

acquiring images in an image database in a data storage module and marking the images as standard images; the image database comprises face images and temporary face images of residents in the community; the temporary facial image refers to a visitor facial image uploaded by community residents through an intelligent terminal, the temporary facial image has a storage period, and when the storage time of the temporary facial image exceeds the storage period, the temporary facial image is automatically deleted from an image database; the image database is encrypted;

analyzing and matching the face image and the standard to obtain similarity; when the similarity is smaller than a similarity threshold value, marking the person corresponding to the face image as an external person, acquiring the position of the external person and marking the position as an initial position; the similarity threshold is greater than 0.97;

a circular area is defined by taking the initial position as a circle center and taking R1 as a radius and is marked as a first area; acquiring the total number of coming persons inside and outside the first area; r1 is a radius set value, and R1 is more than 10 m;

when the total number of the external people in the first area exceeds the number threshold, generating a security early warning signal and sending the security early warning signal to a display control module;

and sending the total number of the external personnel and the sending record of the security early warning signal to a data storage module for storage through a central processing unit.

Further, the fire monitoring unit is used for monitoring the fire in the community, and comprises:

acquiring a fire signal through a fire sensor and sending the fire signal to a fire monitoring unit, and acquiring a position where the fire signal is sent through the fire monitoring unit and marking the position as a fire position;

generating a fire early warning signal, and sending the fire early warning signal and the fire position to a display control module;

and sending the fire position and the fire early warning signal sending record to the data storage module for storage through the central processing unit.

Further, the data acquisition equipment comprises an image acquisition unit, a fire sensor and an intelligent garbage can; the feedback data comprises a license plate image, a face image, a fire signal and a scanning image; license plate image, facial image acquire through image acquisition unit, and fire signal acquires through fire sensor, and rubbish image and X-ray image acquire through intelligent garbage bin.

Furthermore, the image acquisition unit comprises an image acquisition assembly and a second image processor, the image acquisition assembly comprises an action holder and a high-definition camera, and the image acquisition assembly is uniformly arranged at an entrance and an exit of the community and in the community; the image acquisition assembly realizes full coverage of the inside of the community.

Furthermore, the central processing unit is respectively in communication connection with the information pushing module, the display control module, the data storage module, the safety monitoring module, the intelligent internet of things module and the garbage classification monitoring module; the display control module is respectively in communication connection with the data storage module and the information push module; the intelligent internet of things module is in communication connection with the safety monitoring module and the garbage classification monitoring module respectively.

The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest real situation, and the preset parameters and the preset threshold value in the formula are set by the technical personnel in the field according to the actual situation or obtained by simulating a large amount of data.

The working principle of the invention is as follows:

when the vehicle runs to an entrance and an exit of a community, acquiring a license plate image of the vehicle through an image acquisition assembly and sending the license plate image to an entrance and exit monitoring node; preprocessing the license plate image to extract the license plate number and marking the license plate number as a verification license plate number; acquiring a license plate white list through a data storage module; analyzing and matching the verified license plate number with the license plate numbers in the license plate white list to obtain a matching degree; when the matching degree is greater than or equal to the threshold value of the matching degree, judging that the license plate number is successfully matched, and controlling the intelligent barrier to open the released vehicle through the barrier controller; when the matching degree is smaller than the threshold value of the matching degree, judging that the matching of the license plate number is failed, and simultaneously sending a matching failure signal and a property duty call to a gateway display screen; sending the images of the vehicles passing through the community entrance and exit to a data storage module for storage through a central processing unit;

acquiring a public area image through an image acquisition assembly, extracting a face image from the public area image, and marking the face image as a face image after image preprocessing; acquiring images in an image database in a data storage module and marking the images as standard images; the image database comprises face images and temporary face images of residents in the community; analyzing and matching the face image and the standard to obtain similarity; when the similarity is smaller than a similarity threshold value, marking the person corresponding to the face image as an external person, acquiring the position of the external person and marking the position as an initial position; a circular area is defined by taking the initial position as a circle center and taking R1 as a radius and is marked as a first area; acquiring the total number of coming persons inside and outside the first area; when the total number of the external people in the first area exceeds the number threshold, generating a security early warning signal and sending the security early warning signal to a display control module;

when a resident puts the garbage bag into the intelligent garbage can, a scanning image of the garbage bag is obtained through an X-ray scanner; acquiring a recognition model through a data storage module; inputting the scanned image into an identification model to obtain a garbage label; carrying out consistency matching on the garbage label and the garbage can label; when the garbage label is inconsistent with the garbage can label, judging that garbage classification fails, alarming through a buzzer, and simultaneously starting a high-definition camera outside the intelligent garbage can; the resident opens the disposal bag and aims at high definition digtal camera, acquires the rubbish image through high definition digtal camera, and first image processor combines the rubbish label that corresponds of rubbish in the image recognition method discernment rubbish to show for the resident through the rubbish show screen.

In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.

Claims (8)

1. A property intelligent management system based on an intelligent community is characterized by comprising a central processing unit, an information pushing module, a display control module, a data storage module, a safety monitoring module, an intelligent internet of things module and a garbage classification monitoring module;

the intelligent internet of things module is in communication connection with the data acquisition equipment, and acquires feedback data through the data acquisition equipment and respectively sends the feedback data to the safety monitoring module, the garbage classification monitoring module and the data storage module;

the garbage classification monitoring module is in communication connection with the intelligent garbage can; the intelligent garbage can comprises a high-definition camera, an X-ray scanner, a buzzer, a garbage display screen and a first image processor; the high-definition camera is arranged outside the intelligent garbage can, and the X-ray scanner is arranged on the inner side of the intelligent garbage can; the garbage classification monitoring module is used for monitoring the garbage classification in the community, and comprises:

when a resident puts the garbage bag into the intelligent garbage can, a scanning image of the garbage bag is obtained through an X-ray scanner;

acquiring a recognition model through a data storage module; inputting the scanned image into an identification model to obtain a garbage label;

carrying out consistency matching on the garbage label and the garbage can label; the garbage can label comprises dry garbage, wet garbage, harmful garbage and recyclable matters;

when the garbage label is inconsistent with the garbage can label, judging that garbage classification fails, alarming through a buzzer, and simultaneously starting a high-definition camera outside the intelligent garbage can; the method comprises the following steps that a resident opens a garbage bag to align with a high-definition camera, a garbage image is obtained through the high-definition camera, a garbage label corresponding to garbage in the garbage image is identified by a first image processor through combination of an image identification method, and the garbage label is displayed to the resident through a garbage display screen;

the safety monitoring module comprises a security monitoring unit and a fire monitoring unit.

2. The intelligent property management system based on the intelligent community as claimed in claim 1, wherein the information pushing module is used for pushing an information report to an intelligent terminal of a resident according to a set period, the information pushing module is in communication connection with the intelligent terminal of the resident, the information report comprises a security report, a property charge payment and use report, a fire report and a garbage classification report, and the set period comprises every week and every month.

3. The intelligent property management system based on the intelligent community of claim 1, wherein the display control module is used for displaying pictures shot by the high-definition camera in real time, and meanwhile, the display control module also schedules workers according to safety early warning signals, and the system comprises:

when the display control module receives the safety early warning signal, positioning an intelligent terminal of a worker to obtain the position of the worker, and marking the position as a first position; the safety early warning signal comprises a security early warning signal and a fire early warning signal;

acquiring a sending position of the safety early warning signal and marking the sending position as a second position;

planning a path between the first position and the second position through a third-party map platform and marking the path as a target path; the third-party map platform comprises a Baidu map, an Tencent map and a Gagde map;

selecting the worker with the shortest target path and marking the worker as a dispatcher;

sending the target path, the second position and the safety early warning signal to dispatching personnel; and meanwhile, the safety early warning signal and the second position are sent to the intelligent terminal of the resident.

4. The intelligent property management system based on intelligent community as claimed in claim 1, wherein the establishing step of the recognition model comprises:

acquiring a junk picture through the Internet, and setting a junk tag for the junk picture; the garbage label comprises dry garbage, wet garbage, harmful garbage and recyclable matters;

dividing the garbage pictures into a training set and a testing set according to a set proportion; the set ratio comprises 4:1, 3:1 and 4: 3;

constructing a neural network model; the neural network model comprises an error reverse propagation neural network model, an RBF neural network model and a convolution neural network model;

inputting the training set, the test set and the corresponding garbage labels into a neural network model for training; when the iteration times and the learning precision meet the requirements, judging that the training of the neural network model is finished, and marking the trained neural network model as an identification model;

and sending the recognition model to a data storage module for storage.

5. The intelligent property management system based on the intelligent community as claimed in claim 1, wherein the security monitoring unit comprises an entrance monitoring node and an exit monitoring node and a public area monitoring node, the entrance monitoring node is in communication connection with an intelligent gateway, and the intelligent gateway comprises a gateway controller and a gateway display screen; the access & exit monitoring node is used for monitoring vehicles entering and exiting the community, and comprises:

when the vehicle runs to an entrance and an exit of a community, acquiring a license plate image of the vehicle through an image acquisition assembly and sending the license plate image to an entrance and exit monitoring node;

preprocessing the license plate image to extract the license plate number and marking the license plate number as a verification license plate number; the image preprocessing comprises image segmentation, image denoising and gray level transformation;

acquiring a license plate white list through a data storage module; the license plate white list comprises license plate numbers of residents in the community and temporary license plate numbers, wherein the temporary license plate numbers refer to visitor license plate numbers registered in advance by the residents in the community through an intelligent terminal; the intelligent terminal comprises an intelligent mobile phone, a tablet computer and a notebook computer;

analyzing and matching the verified license plate number with the license plate numbers in the license plate white list to obtain a matching degree; when the matching degree is greater than or equal to the threshold value of the matching degree, judging that the license plate number is successfully matched, and controlling the intelligent barrier to open the released vehicle through the barrier controller; when the matching degree is smaller than the threshold value of the matching degree, judging that the matching of the license plate number is failed, and simultaneously sending a matching failure signal and a property duty call to a gateway display screen; the matching degree threshold is greater than 0.95;

sending the images of the vehicles passing through the community entrance and exit to a data storage module for storage through a central processing unit;

the public area detection node is used for monitoring strangers in a public area, and comprises the following steps:

acquiring a public area image through an image acquisition assembly, extracting a face image from the public area image, and marking the face image as a face image after image preprocessing;

acquiring images in an image database in a data storage module and marking the images as standard images; the image database comprises face images and temporary face images of residents in the community; the temporary facial image refers to a visitor facial image uploaded by community residents through an intelligent terminal, the temporary facial image has a storage period, and when the storage time of the temporary facial image exceeds the storage period, the temporary facial image is automatically deleted from an image database; the image database is encrypted;

analyzing and matching the face image and the standard to obtain similarity; when the similarity is smaller than a similarity threshold value, marking the person corresponding to the face image as an external person, acquiring the position of the external person and marking the position as an initial position; the similarity threshold is greater than 0.97;

a circular area is defined by taking the initial position as a circle center and taking R1 as a radius and is marked as a first area; acquiring the total number of coming persons inside and outside the first area; the R1 is a radius set value, and R1 is more than 10 m;

when the total number of the external people in the first area exceeds the number threshold, generating a security early warning signal and sending the security early warning signal to a display control module;

and sending the total number of the external personnel and the sending record of the security early warning signal to a data storage module for storage through a central processing unit.

6. The intelligent property management system based on intelligent community as claimed in claim 1, wherein the fire monitoring unit is used for monitoring fire in the community, and comprises:

acquiring a fire signal through a fire sensor and sending the fire signal to a fire monitoring unit, and acquiring a position where the fire signal is sent through the fire monitoring unit and marking the position as a fire position;

generating a fire early warning signal, and sending the fire early warning signal and the fire position to a display control module;

and sending the fire position and the fire early warning signal sending record to the data storage module for storage through the central processing unit.

7. The intelligent property management system based on the intelligent community as claimed in claim 1, wherein the data acquisition device comprises an image acquisition unit, a fire sensor and an intelligent garbage can; the feedback data comprises a license plate image, a face image, a fire signal and a scanning image; the license plate image and the face image are acquired through the image acquisition unit, the fire signal is acquired through the fire sensor, and the garbage image and the X-ray image are acquired through the intelligent garbage can.

8. The intelligent property management system based on the intelligent community as claimed in claim 1, wherein the image acquisition unit comprises an image acquisition component and a second image processor, the image acquisition component comprises an action holder and a high-definition camera, and the image acquisition component is uniformly arranged at an entrance and an exit of the community and in the community; the image acquisition assembly realizes full coverage of the inside of the community.

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