Block chain storage system based on digital community

Abstract

The invention relates to the technical field of community data management, and particularly discloses a block chain storage system based on a digital community, and the system comprises a community space building module which is used for obtaining the building data of a community, and building a digital community space according to the building data; the community space updating module is used for acquiring authorization information which is sent by a user and contains supply resources based on the digital community space, and updating the digital community space according to the authorization information; and the video storage module is used for collecting on-site videos in real time according to the supply resources and storing the on-site videos into the updated digital community space. According to the invention, an original time-based data storage architecture is converted into a unit-based data storage architecture, data acquisition and analysis are carried out on the whole community, videos pointing to residents are stored in corresponding storage databases, and the storage architecture is clear and easy to expand.

Description

Technical Field

[0001] The present invention relates to the technical field of community data management, and in particular to a blockchain storage system based on a digital community. Background Art

[0002] A digital community is a network system that organically connects management and service providers with residents through digital information. This digital network system enables social information providers, community managers and residents to exchange information in real time in various forms.

[0003] The quality of a digital community depends not only on the performance of the equipment providing services, but is also closely related to the overall data storage process. If the data storage process is chaotic, it is very likely to reduce the service quality. The existing storage method applied to digital communities is to store the acquired data according to time and then sort it by time. This method has high integrity and orderliness, but the storage space requirements are also high. When the amount of data is large, the data reading rate will also decrease.

[0004] How to improve data storage capacity is the technical problem that the technical solution of the present invention aims to solve. Summary of the invention

[0005] The purpose of the present invention is to provide a blockchain storage system based on a digital community to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A blockchain storage system based on a digital community, the system comprising:

[0008] A community space establishment module is used to obtain architectural data of the community and build a digital community space according to the architectural data; the digital community space contains units corresponding to the rooms;

[0009] A community space update module, used to obtain authorization information containing supply resources sent by users based on the digital community space, and update the digital community space according to the authorization information; the authorization information contains user information; the supply resources are used to represent data collection resources provided by users;

[0010] A video storage module, used for collecting on-site videos in real time according to the supply resources, and storing the on-site videos in the updated digital community space;

[0011] The data storage and backup module is used to periodically traverse, detect and back up the data in the digital community space.

[0012] As a further solution of the present invention: the community space establishment module includes:

[0013] A floor plan segmentation unit is used to obtain a floor plan of a community and segment the floor plan into sub-areas;

[0014] A collection sequence establishing unit is used to obtain the building type of each sub-area and determine the collection height sequence of the sub-area according to the building type;

[0015] A top view acquisition unit, used for acquiring a top view corresponding to each sub-area according to the acquisition height sequence;

[0016] The space construction unit is used to construct a digital community space according to the plan view containing the segmentation results and the top view.

[0017] As a further solution of the present invention: the space construction unit includes:

[0018] The model query subunit is used to query the building model corresponding to each sub-area in the stored building model library;

[0019] A model arrangement subunit, configured to arrange the building model based on the plan;

[0020] A filling material determination subunit is used to sequentially read the top view corresponding to each building model, identify the top view, and determine the filling material of each unit in the building model;

[0021] The filler insertion subunit is used to insert the filler into the building model to obtain a digital community space.

[0022] As a further solution of the present invention: the community space establishment module also includes:

[0023] A display unit, used to display each unit in each building model in sequence according to a preset display rule;

[0024] An adjustment information receiving unit, used for opening an information input port in real time, and receiving adjustment information input by a user based on the information input port;

[0025] An adjustment execution unit is used to adjust the digital community space according to the adjustment information.

[0026] As a further solution of the present invention: the community space updating module includes:

[0027] An instruction receiving unit, used to send a permission acquisition request to a user and receive an authorization instruction containing user information sent by the user; the user information includes a room tag of the user;

[0028] A database establishment unit, used to query the corresponding unit in the digital community space according to the room tag and establish a database;

[0029] The update execution unit is used to receive the supply resources sent by the user and update the digital community space according to the supply resources.

[0030] As a further solution of the present invention: the update execution unit includes:

[0031] The device query subunit is used to receive the device model sent by the user, and query the target device in the preset device record library according to the device model;

[0032] A collection point determination subunit, configured to receive installation parameters input by a user, and determine a collection point corresponding to a target device in a digital community space according to the installation parameters; the installation parameters include an installation position, an installation height, and a monitoring angle;

[0033] The area marking subunit is used to count all the collection points and their installation parameters and mark the detection area in the digital community space;

[0034] The marking application subunit is used to update the digital community space according to the marking result.

[0035] As a further solution of the present invention: the statistics of all collection points and their installation parameters, and the content of marking the detection area in the digital community space include:

[0036] Reading the installation parameters of the collection points in sequence, and determining the monitoring range of the collection points in the digital community space according to the installation parameters and the scaling ratio of the digital community space;

[0037] Obtaining the monitoring clarity of the target device corresponding to the acquisition point, and querying the corresponding color value in a preset mark assignment table according to the monitoring clarity;

[0038] Generate a marking layer corresponding to the collection point according to the color value and the monitoring range;

[0039] Overlay each label layer into the digital community space in turn.

[0040] As a further solution of the present invention: the video storage module includes:

[0041] A video acquisition unit, used for real-time acquisition of live video containing time information;

[0042] A display feature acquisition unit, used to identify the live video based on time information, locate the moving object and acquire the display features of the moving object;

[0043] An edge query unit, configured to query display features in the live video collected by the adjacent supply resources according to the display features, and execute the query cyclically;

[0044] A trajectory generating unit, configured to read a corresponding on-site video according to the query result, and determine a motion trajectory based on the read on-site video;

[0045] The storage unit is used to locate the corresponding unit in the digital community space according to the endpoint of the motion trajectory, and store the read live video in the database corresponding to the unit.

[0046] As a further solution of the present invention: the video storage module also includes:

[0047] A first reading unit is used to read the corresponding on-site video according to the query result when the on-site video collected by the supply resource contains a heat source information layer;

[0048] A display feature segmentation unit, used for segmenting the display features of the moving object in the live video according to the heat source information layer;

[0049] A component feature determination unit, used to determine the component features of the moving object according to the segmentation result; the component features are composed of preset labels;

[0050] A processing unit is used to update the digital community space according to the component characteristics.

[0051] As a further solution of the present invention: the video storage module also includes:

[0052] A layer reading unit, used to read the marking layer in the digital community space when collecting the live video in real time according to the supply resource;

[0053] An exposure rate calculation unit, used to determine the exposure rate of the live video according to the marked layer; the exposure rate is related to the number of marked images and their color values;

[0054] an accuracy determination unit, configured to compare the exposure rate with a preset exposure rate threshold, and determine the recognition accuracy of the live video according to the comparison result;

[0055] The recognition accuracy is inversely proportional to the exposure rate threshold.

[0056] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention converts the original time-based data storage architecture into a unit-based data storage architecture, and provides a separate storage database for each unit, that is, each resident. Then, the supply resources of each resident, such as the camera installed on the door of their house, are obtained, and these cameras and the cameras provided by the property are combined to obtain and analyze data for the entire community, and the videos pointing to each resident are stored in the corresponding storage database. The storage architecture is clear and easy to expand. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0058] Figure 1 This is a structural block diagram of the blockchain storage system based on the digital community.

[0059] Figure 2 A structural block diagram of the modules for establishing the community space in the blockchain storage system based on the digital community.

[0060] Figure 3 This is a structural block diagram of the community space update module in the blockchain storage system based on the digital community.

[0061] Figure 4 The structure diagram of the video storage module in the blockchain storage system based on the digital community. DETAILED DESCRIPTION

[0062] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0063] Figure 1 The block diagram is a structural diagram of a blockchain storage system based on a digital community. In an embodiment of the present invention, a blockchain storage system based on a digital community is provided, and the system includes:

[0064] The community space establishment module 11 is used to obtain the building data of the community and build a digital community space according to the building data; the digital community space contains units corresponding to the rooms;

[0065] The community space updating module 12 is used to obtain authorization information containing supply resources sent by the user based on the digital community space, and update the digital community space according to the authorization information; the authorization information contains user information; the supply resources are used to represent data collection resources provided by the user;

[0066] The video storage module 13 is used to collect the on-site video in real time according to the supply resources, and store the on-site video in the updated digital community space;

[0067] The data storage and backup module 14 is used to periodically traverse, detect and back up the data in the digital community space.

[0068] The digital community space is a virtual community, and there is a certain scale between it and the actual community. The focus of the technical solution of the present invention is to store community data based on the digital community space. Since the digital community space can be displayed intuitively, the query process of the staff is very easy in the subsequent data query process.

[0069] The generation process of digital community space is divided into two steps. First, a static community space is built based on building data, which is not a difficult process. Then, the supply resources of users (residents) are obtained. The supply resources can be cameras installed at the door of the residents' homes, or some equivalent objects. According to the amount of supply resources, corresponding services can be enjoyed. In layman's terms, after the residents provide supply resources, they are eligible to query the digital community space and thus have a better understanding of the entire community. It should be noted that the areas that can be monitored are mostly public areas, such as corridors, etc., and the authority issue needs to be paid attention to. The corresponding supply resources can only be used with the permission of the residents (authorization information).

[0070] The system obtains on-site video based on the supply resources, identifies the on-site video, and can determine the status of each unit in real time; the data collected in the process is also stored in a database with the unit as the label.

[0071] In short, the digital community space is a "master outline" and there are many databases pointing to various units in the digital community space in the system.

[0072] Figure 2 The present invention is a structural block diagram of a community space establishment module 11 in a blockchain storage system based on a digital community. The community space establishment module 11 includes:

[0073] A plan segmentation unit 111 is used to obtain a plan of the community and segment the plan into sub-areas;

[0074] A collection sequence establishing unit 112 is used to obtain the building type of each sub-area and determine the collection height sequence of the sub-area according to the building type;

[0075] A top view acquisition unit 113, configured to acquire a top view corresponding to each sub-area according to the acquisition height sequence;

[0076] The space construction unit 114 is used to construct a digital community space according to the plan view containing the segmentation results and the top view.

[0077] The above content describes the process of establishing a static digital community space. The digital community space is a three-dimensional model, which is determined by the bird's-eye view of each area at different heights. The bird's-eye view at different heights can be understood as the bird's-eye view of different floors.

[0078] It should be noted that the process of dividing the floor plan into sub-areas is generally determined during the community planning stage.

[0079] In one example of the technical solution of the present invention, the space construction unit 114 includes:

[0080] The model query subunit is used to query the building model corresponding to each sub-area in the stored building model library;

[0081] A model arrangement subunit, configured to arrange the building model based on the plan;

[0082] A filling material determination subunit is used to sequentially read the top view corresponding to each building model, identify the top view, and determine the filling material of each unit in the building model;

[0083] The filler insertion subunit is used to insert the filler into the building model to obtain a digital community space.

[0084] First, arrange each building model according to the floor plan, for example, which building is in a certain area; then, read the top view of each floor in the corresponding building model, identify the top view, and determine some markers, such as fire extinguisher boxes, etc., and fill these details into the building model to obtain a more detailed digital community space.

[0085] As a preferred embodiment of the technical solution of the present invention, the community space establishment module 11 further includes:

[0086] A display unit, used to display each unit in each building model in sequence according to a preset display rule;

[0087] An adjustment information receiving unit, used for opening an information input port in real time, and receiving adjustment information input by a user based on the information input port;

[0088] An adjustment execution unit is used to adjust the digital community space according to the adjustment information.

[0089] The main process of establishing the digital community space is completed by computer equipment. When the digital community space is established, the various units in the digital community space are continuously displayed. Users input some adjustment information through the open information input port. Based on this adjustment information, the system can actively adjust the digital community space to improve user participation.

[0090] Figure 3 The following is a structural block diagram of the community space update module 12 in the blockchain storage system based on the digital community. The community space update module 12 includes:

[0091] The instruction receiving unit 121 is used to send a permission acquisition request to the user and receive an authorization instruction containing user information sent by the user; the user information includes the user's room tag;

[0092] A database establishment unit 122, configured to query a corresponding unit in the digital community space according to the room tag and establish a database;

[0093] The update execution unit 123 is configured to receive the supply resources sent by the user, and update the digital community space according to the supply resources.

[0094] The function of the community space updating module 12 is to introduce supply resources into the digital community space and display the supply resources and their work contents in the digital community space; in addition, the static digital community space is expanded and the database connected to the digital community space is determined.

[0095] As a preferred embodiment of the technical solution of the present invention, the update execution unit 123 includes:

[0096] The device query subunit 1231 is used to receive the device model sent by the user, and query the target device in the preset device record library according to the device model;

[0097] The collection point determination subunit 1232 is used to receive the installation parameters input by the user, and determine the collection point corresponding to the target device in the digital community space according to the installation parameters; the installation parameters include installation position, installation height and monitoring angle;

[0098] The area marking subunit 1233 is used to count all the collection points and their installation parameters and mark the detection area in the digital community space;

[0099] The marking application subunit 1234 is used to update the digital community space according to the marking result.

[0100] The update execution unit 123 is a core component of the community space update module 12. First, the user inputs a device model, and some standard parts can be queried according to the device model. These standard parts are pre-stored in the device registration library; these standard parts can be image acquisition devices, and their installation position, installation height and monitoring angle are determined by the user. When these data are determined, the corresponding acquisition points can be determined in the digital community space; then, the areas that can be collected by each acquisition point are marked in the digital community space. This marking process can be understood as adding a shadow layer in the digital community space; finally, the digital community space containing the acquisition points and the shadow layer is the updated digital community space.

[0101] In an example of the technical solution of the present invention, the content of counting all collection points and their installation parameters and marking the detection area in the digital community space includes:

[0102] Reading the installation parameters of the collection points in sequence, and determining the monitoring range of the collection points in the digital community space according to the installation parameters and the scaling ratio of the digital community space;

[0103] Obtaining the monitoring clarity of the target device corresponding to the acquisition point, and querying the corresponding color value in a preset mark assignment table according to the monitoring clarity;

[0104] Generate a marking layer corresponding to the collection point according to the color value and the monitoring range;

[0105] Overlay each label layer into the digital community space in turn.

[0106] The method for marking the detection area is, first, to determine the monitoring range of the collection point, where the monitoring range refers to the monitoring range in the digital community space, and the scale between it and the actual monitoring range is determined; the performance of the image acquisition equipment installed at different collection points is different. If the performance is better (higher clarity), the color value of the marking layer will be more obvious, where "obvious" is a relative term. If the color value is expressed in grayscale, the higher the clarity, the smaller the grayscale value (black is zero).

[0107] Then, the marking layers corresponding to each collection point are counted in turn, and the marking layers are superimposed on the digital community space to obtain a digital community space containing the collection points and their collection area marks.

[0108] Figure 4 The video storage module 13 in the blockchain storage system based on the digital community is a structural block diagram of the video storage module 13, and the video storage module 13 includes:

[0109] The video acquisition unit 131 is used to acquire live video containing time information in real time;

[0110] A display feature acquisition unit 132, configured to identify the live video based on time information, locate the moving object and acquire the display features of the moving object;

[0111] An edge query unit 133, configured to query display features in the live video collected by the adjacent supply resources according to the display features, and execute the query in a loop;

[0112] A trajectory generating unit 134, configured to read a corresponding on-site video according to the query result, and determine a motion trajectory based on the read on-site video;

[0113] The storage unit 135 is used to locate the corresponding unit in the digital community space according to the endpoint of the motion trajectory, and store the read live video in the database corresponding to the unit.

[0114] The image acquisition equipment at each acquisition point runs in real time and continuously acquires live video. The system identifies the acquired live video, locates the moving object and its display characteristics. There are many display characteristics, such as outline size, trend, color value of each area inside the outline, etc., which are determined independently by the staff. According to the display characteristics, the corresponding target can be queried in the adjacent live video. When the corresponding target is queried, the live video is used as a reference to query the corresponding target in the adjacent live video. By repeating this step, the motion trajectory of the moving object can be obtained.

[0115] It is worth mentioning that the acquisition area of ​​the image acquisition device of the technical solution of the present invention is almost all public areas, such as corridors, etc., and the most private space is the corridor at the door of the house.

[0116] Furthermore, based on the endpoints of the motion trajectory, it can be determined which unit (which household) the moving object belongs to, and then the relevant data is stored in a database corresponding to the unit.

[0117] In an example of the technical solution of the present invention, the video storage module 13 further includes:

[0118] A first reading unit is used to read the corresponding on-site video according to the query result when the on-site video collected by the supply resource contains a heat source information layer;

[0119] A display feature segmentation unit, used for segmenting the display features of the moving object in the live video according to the heat source information layer;

[0120] A component feature determination unit, used to determine the component features of the moving object according to the segmentation result; the component features are composed of preset labels;

[0121] A processing unit is used to update the digital community space according to the component characteristics.

[0122] The process of identifying moving objects in live videos involves contour recognition technology. Most contour recognition technologies can only identify the contour of an entire object. It is impossible to determine whether the contour of the entire object is separable. For example, a person carrying a schoolbag can be separated from the schoolbag, but in the contour recognition process, they are integrated. When the image acquisition device has a temperature recognition function, the moving object can be segmented according to the heat source information, and then the components can be identified. Among them, the method of identifying the components can use the existing neural network model. If it cannot be identified, the component is marked as an unrecognizable object, and then manually identified, and then used as a sample to train the neural network model.

[0123] The key point of the above content is that the moving objects are segmented according to the heat source information. The importance of the segmentation process is greater than the component identification process, and the component identification process is the icing on the cake.

[0124] As a preferred embodiment of the technical solution of the present invention, the video storage module 13 also includes:

[0125] A layer reading unit, used to read the marking layer in the digital community space when collecting the live video in real time according to the supply resource;

[0126] An exposure rate calculation unit, used to determine the exposure rate of the live video according to the marked layer; the exposure rate is related to the number of marked images and their color values;

[0127] an accuracy determination unit, configured to compare the exposure rate with a preset exposure rate threshold, and determine the recognition accuracy of the live video according to the comparison result;

[0128] The recognition accuracy is inversely proportional to the exposure rate threshold.

[0129] In the digital community space, each acquisition area is marked. The main purpose of these marks is to show users which areas can be monitored and the degree of monitoring. It can be imagined that if an area can be monitored by multiple image acquisition devices at the same time, then its color will be very obvious (if grayscale is used as the evaluation standard, the grayscale value of the area will be very small); consistent with this, if an area cannot be acquired by any image acquisition device, then its color will also be very obvious (if grayscale is used as the evaluation standard, the grayscale value of the area will be very large).

[0130] Therefore, for a live video collected by a certain supply resource, the degree to which the corresponding area has been collected is queried. This degree is reflected by the exposure. The higher the exposure, the more image acquisition devices can collect the area, or the higher the acquisition accuracy.

[0131] Based on this, when the exposure rate of a certain area is high, the recognition accuracy of the corresponding image acquisition device can be appropriately lowered, thereby improving the utilization rate of recognition resources.

[0132] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A blockchain storage system based on a digital community, characterized in that: The system comprises: A community space establishment module is used to obtain architectural data of the community and build a digital community space according to the architectural data; the digital community space contains units corresponding to the rooms; A community space update module, used to obtain authorization information containing supply resources sent by users based on the digital community space, and update the digital community space according to the authorization information; the authorization information contains user information; the supply resources are used to represent data collection resources provided by users; A video storage module, used for collecting on-site videos in real time according to the supply resources, and storing the on-site videos in the updated digital community space; The data storage and backup module is used to periodically traverse, detect and back up the data in the digital community space.

2. The digital community-based blockchain storage system according to claim 1, characterized in that: The community space establishment module includes: A floor plan segmentation unit is used to obtain a floor plan of a community and segment the floor plan into sub-areas; A collection sequence establishing unit is used to obtain the building type of each sub-area and determine the collection height sequence of the sub-area according to the building type; A top view acquisition unit, used for acquiring a top view corresponding to each sub-area according to the acquisition height sequence; The space construction unit is used to construct a digital community space according to the plan view containing the segmentation results and the top view.

3. The digital community-based blockchain storage system according to claim 2 is characterized in that: The space construction unit comprises: The model query subunit is used to query the building model corresponding to each sub-area in the stored building model library; A model arrangement subunit, configured to arrange the building model based on the plan; A filling material determination subunit is used to sequentially read the top view corresponding to each building model, identify the top view, and determine the filling material of each unit in the building model; The filler insertion subunit is used to insert the filler into the building model to obtain a digital community space.

4. The digital community-based blockchain storage system according to claim 3 is characterized in that: The community space establishment module also includes: A display unit, used to display each unit in each building model in sequence according to a preset display rule; An adjustment information receiving unit, used for opening an information input port in real time, and receiving adjustment information input by a user based on the information input port; An adjustment execution unit is used to adjust the digital community space according to the adjustment information.

5. The blockchain storage system based on the digital community according to claim 1 is characterized in that: The community space update module includes: An instruction receiving unit, used to send a permission acquisition request to a user and receive an authorization instruction containing user information sent by the user; the user information includes a room tag of the user; A database establishment unit, used to query the corresponding unit in the digital community space according to the room tag and establish a database; The update execution unit is used to receive the supply resources sent by the user and update the digital community space according to the supply resources.

6. The digital community-based blockchain storage system according to claim 5, characterized in that: The update execution unit comprises: The device query subunit is used to receive the device model sent by the user, and query the target device in the preset device record library according to the device model; A collection point determination subunit, configured to receive installation parameters input by a user, and determine a collection point corresponding to a target device in a digital community space according to the installation parameters; the installation parameters include an installation position, an installation height, and a monitoring angle; The area marking subunit is used to count all the collection points and their installation parameters and mark the detection area in the digital community space; The marking application subunit is used to update the digital community space according to the marking result.

7. The digital community-based blockchain storage system according to claim 6 is characterized in that: The content of counting all collection points and their installation parameters and marking the detection area in the digital community space includes: Reading the installation parameters of the collection points in sequence, and determining the monitoring range of the collection points in the digital community space according to the installation parameters and the scaling ratio of the digital community space; Obtaining the monitoring clarity of the target device corresponding to the acquisition point, and querying the corresponding color value in a preset mark assignment table according to the monitoring clarity; Generate a marking layer corresponding to the collection point according to the color value and the monitoring range; Overlay each label layer into the digital community space in turn.

8. The digital community-based blockchain storage system according to claim 7, characterized in that: The video storage module comprises: A video acquisition unit, used for real-time acquisition of live video containing time information; A display feature acquisition unit, used to identify the live video based on time information, locate the moving object and acquire the display features of the moving object; An edge query unit, configured to query display features in the live video collected by the adjacent supply resources according to the display features, and execute the query cyclically; A trajectory generating unit, configured to read a corresponding on-site video according to the query result, and determine a motion trajectory based on the read on-site video; The storage unit is used to locate the corresponding unit in the digital community space according to the endpoint of the motion trajectory, and store the read live video in the database corresponding to the unit.

9. The digital community-based blockchain storage system according to claim 8, characterized in that: The video storage module also includes: A first reading unit is used to read the corresponding on-site video according to the query result when the on-site video collected by the supply resource contains a heat source information layer; A display feature segmentation unit, used for segmenting the display features of the moving object in the live video according to the heat source information layer; A component feature determination unit, used to determine the component features of the moving object according to the segmentation result; the component features are composed of preset labels; A processing unit is used to update the digital community space according to the component characteristics.

10. The digital community-based blockchain storage system according to claim 8, characterized in that: The video storage module also includes: A layer reading unit, used to read the marking layer in the digital community space when collecting the live video in real time according to the supply resource; An exposure rate calculation unit, used to determine the exposure rate of the live video according to the marked layer; the exposure rate is related to the number of marked images and their color values; an accuracy determination unit, configured to compare the exposure rate with a preset exposure rate threshold, and determine the recognition accuracy of the live video according to the comparison result; The recognition accuracy is inversely proportional to the exposure rate threshold.

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