CN114329106A - Big data analysis system and method for community - Google Patents
Big data analysis system and method for community Download PDFInfo
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- CN114329106A CN114329106A CN202111651915.5A CN202111651915A CN114329106A CN 114329106 A CN114329106 A CN 114329106A CN 202111651915 A CN202111651915 A CN 202111651915A CN 114329106 A CN114329106 A CN 114329106A
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Abstract
The invention relates to the technical field of data processing, and particularly discloses a big data analysis system and a big data analysis method for a community, wherein the system comprises: the information acquisition module is used for receiving the event information of the intelligent equipment and storing the event information into the database; the event information comprises occurrence time and event content; the personnel positioning module is used for determining personnel coordinates identified by the monitoring camera according to the coordinates of the monitoring camera and storing the personnel coordinates into the database; the query module is used for receiving query items, wherein the query items comprise one or more of time needing to be queried, events needing to be queried or personnel needing to be queried; and the backtracking module is used for judging whether the inquired items only contain events needing to be inquired, if so, acquiring corresponding event information from the database, determining the occurrence time, acquiring coordinates of all personnel at the occurrence time from the database, and marking the coordinates in the three-dimensional model of the community. By adopting the technical scheme of the invention, the events which occur in the community can be backtracked.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a big data analysis system and method for communities.
Background
With the coming of the internet era and the change of people's living habits, especially with the development of technologies such as mobile internet, artificial intelligence and the like, the traditional management service mode cannot keep up with the demand of people for high-quality service, and the intelligent upgrading becomes more important.
The intelligent community is a new concept which is formed in recent years, and means that all aspects of community management are organically integrated by means of modern communication technologies such as the internet of things and the internet to form a new intelligent and information community form. With the construction of the intelligent community, in order to maintain the safety and the order of the community, a plurality of intelligent devices such as intelligent entrance guard, security monitoring, elevator and intelligent parking facilities are arranged in the community, and the current time of the community can be effectively monitored and managed through the intelligent devices.
However, effective backtracking of events that have occurred in the community is difficult to achieve, and workers cannot review the events by reviewing the situations when the events occur, and cannot provide help for optimization of business processes.
Therefore, a big data analysis system and method for a community, which can backtrack events that have occurred in the community, are needed.
Disclosure of Invention
The invention provides a big data analysis system for a community, which can backtrack events occurring in the community.
In order to solve the technical problem, the present application provides the following technical solutions:
a big data analytics system for a community, comprising:
the database is used for storing a three-dimensional model of a community and the coordinates of the intelligent equipment; the intelligent equipment comprises environment monitoring equipment and a monitoring camera with a face recognition function;
the information acquisition module is used for receiving the event information of the intelligent equipment and storing the event information into the database; the event information comprises occurrence time and event content;
the personnel positioning module is used for determining personnel coordinates identified by the monitoring camera according to the coordinates of the monitoring camera and storing the personnel coordinates into the database;
the query module is used for receiving query items, wherein the query items comprise one or more of time needing to be queried, events needing to be queried or personnel needing to be queried;
and the backtracking module is used for judging whether the inquired items only contain events needing to be inquired, if so, acquiring corresponding event information from the database, determining the occurrence time, acquiring coordinates of all personnel at the occurrence time from the database, and marking the coordinates in the three-dimensional model of the community.
The basic scheme principle and the beneficial effects are as follows:
in this scheme, save the incident information that smart machine produced at the operation in-process, personnel can be shot by surveillance camera head when the activity in the community, through face identification to and after confirming personnel's coordinate, save personnel's coordinate. When historical events need to be traced back, the calling can be conveniently carried out. For example, an event needing to be inquired input by a manager through an inquiry module is a smoke alarm event, a backtracking module determines the occurrence time of the event information of the smoke alarm, and coordinates of all people at the occurrence time are obtained and marked in a three-dimensional model of a community. The manager can know the gathering condition of the personnel when the event occurs by watching the three-dimensional model, so that the manager can analyze whether the evacuation mode at that time is reasonable, whether the arrangement of the workers is reasonable and the like, and can provide help for the optimization of the business process.
In conclusion, the method and the system can effectively backtrack the events which occur in the community.
Further, the backtracking module is further configured to determine whether the query item only includes a person to be queried and a time to be queried, if so, determine that the time to be queried is a time point or a time period, if so, obtain coordinates of the queried person identified in the time period from the database, and mark a movement track formed by the coordinates in a three-dimensional model of the community;
the system also comprises a display module which is used for displaying the movement track of the person inquired in the community three-dimensional model in the inquiry time period.
The optimal scheme can inquire the movement track of the personnel in a period of time and know the activity condition of the personnel. For example, for the staff in the community, the staff can better know which places the staff patrol on the day, and the working condition of the staff can be more comprehensively known.
Further, the personnel positioning module is also used for acquiring the coordinates of all the workers from the terminals of all the workers and storing the coordinates into the database;
and after judging that the query item contains the personnel to be queried and the query time, the backtracking module also judges whether the personnel to be queried is a worker, if the personnel to be queried is the worker, the coordinate of the corresponding worker is acquired from the database, and if the personnel to be queried is a non-worker, the coordinate of the corresponding non-worker identified by the monitoring camera is acquired from the database.
The terminal of the staff can adopt a mobile phone, and the monitoring camera has a monitoring visual angle, so that the coverage range is limited, the coordinates of the staff cannot be acquired at any time, and the problem can be solved by acquiring the coordinates of the staff through the mobile phone.
Further, the three-dimensional model comprises a model of a building and a model of a smart device, wherein the coordinates of the smart device and the model of the smart device have a mapping relation;
the device positioning module is used for acquiring the coordinates of the intelligent device generating the event information from the database;
the backtracking module is further used for marking the position of the intelligent equipment model in the three-dimensional model of the community when the inquired items only contain the events needing to be inquired.
By marking the position of the intelligent equipment model in the three-dimensional model of the community, the intelligent equipment model can be visually displayed, and the position of the intelligent equipment generating event information can be rapidly determined in backtracking.
Further, still include:
the work order generation module is used for acquiring event information of the intelligent equipment, judging whether the event information meets a preset rule or not, if so, marking the event information, and generating a work order based on the marked event information; and storing in a database;
the matching module is used for calculating the distance from the staff to the intelligent equipment according to the coordinates of all the staff and the coordinates of all the intelligent equipment, and associating the staff with the intelligent equipment, wherein the distance is within a preset range; determining the staff nearest to the intelligent equipment according to the coordinates of the intelligent equipment generating the marked event information and the coordinates of the staff related to the intelligent equipment; the worker is designated as the handler for the corresponding work order.
Further, the backtracking module is further used for acquiring a work order of a worker as a processing worker within the query time when the worker needing to be queried is judged to be the worker;
the display module is also used for displaying the work order of the worker as a processing person.
By displaying the work order of the worker as the handler in backtracking, it is convenient to analyze whether the distribution at that time is reasonable, in other words, it is convenient to analyze whether the worker as the handler of the work order at that time is the optimal choice. The method can provide help for the optimization of the selection rule of the work order processor.
Further, the environment monitoring equipment comprises a smoke sensor, a temperature sensor and a carbon monoxide detection probe.
The big data analysis method for the community uses the big data analysis system for the community when event backtracking is carried out.
Drawings
FIG. 1 is a logical block diagram of an embodiment big data analytics system for a community.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
As shown in fig. 1, the big data analysis system for a community according to this embodiment includes a database, an information obtaining module, a personnel positioning module, a work order generating module, an equipment positioning module, a matching module, an inquiry module, a backtracking module, and a display module.
The database is used for storing a three-dimensional model of a community and coordinates of the intelligent equipment, in the embodiment, the three-dimensional model adopts a BIM model and comprises a building model and an intelligent equipment model, and the coordinates of the intelligent equipment and the intelligent equipment model have a mapping relation. Specifically, coordinates can be determined and stored for each intelligent device which may generate an alarm or need data interaction in advance through an RTK telemetry mode. In this embodiment, the intelligent device includes environmental monitoring equipment, the surveillance camera head that has face identification function, perimeter alarm device, entrance guard's equipment, elevator etc.. The environment monitoring equipment comprises a smoke sensor, a temperature sensor, a carbon monoxide detection probe and the like.
The information acquisition module is used for receiving event information of the intelligent equipment and storing the event information into a database, wherein the event information comprises occurrence time and event content, for example, the event information that a smoke sensor can generate smoke alarm, the event information that a carbon monoxide detection probe can generate CO concentration standard exceeding alarm, and the event information that a perimeter alarm device can generate intrusion alarm; the monitoring camera can generate event information of face recognition, and event contents are recognized personnel. The information acquisition module is also used for receiving the monitoring video of the monitoring camera and storing the monitoring video in the database.
The personnel positioning module is used for determining personnel coordinates identified by the monitoring camera according to the coordinates of the monitoring camera and storing the personnel coordinates into the database; in this embodiment, the personnel that the surveillance camera head discerned may be the staff of property, also may be non-staff, for example community resident, express delivery personnel etc.. Because the installation position of the monitoring camera is fixed, the approximate position of the personnel identified by the monitoring camera can be determined, but the coordinate precision of the personnel identified by the monitoring camera is not high. In order to protect the privacy of community residents, the community residents can perform face recognition and store coordinates into a database only when the community residents agree to accept the face recognition, and the system performs desensitization processing on the face recognition pictures.
The work order generation module is used for acquiring event information of the intelligent equipment, judging whether the event information meets a preset rule or not, if so, marking the event information, and generating a work order based on the marked event information; and stored in a database. For example, the preset rules stipulate that a smoke alarm event, a CO concentration overproof alarm event, an intrusion alarm event, and identified persons need to be marked for blacklist persons. The preset rules can be set by management personnel according to actual conditions, and subsequent assigned workers can conveniently process the work orders after the work orders are generated.
The equipment positioning module is used for acquiring the coordinates of the intelligent equipment generating the marked event information from the database;
and the personnel positioning module is also used for acquiring the coordinates of all the workers from the terminals of all the workers and storing the coordinates into the database. In this embodiment, the terminal of the staff is a mobile phone, the monitoring camera has a monitoring visual angle, the coverage is limited, and the coordinates of the staff cannot be acquired at any time.
The matching module is used for calculating the distance from the staff to the intelligent equipment according to the coordinates of all the staff and the coordinates of all the intelligent equipment, and associating the staff with the intelligent equipment, wherein the distance is within a preset range;
determining the staff nearest to the intelligent equipment according to the coordinates of the intelligent equipment generating the marked event information and the coordinates of the staff related to the intelligent equipment; the worker is designated as the handler for the corresponding work order.
And the query module is used for receiving query items, and the query items comprise one or more of time needing to be queried, events needing to be queried or personnel needing to be queried.
And the backtracking module is used for acquiring corresponding content from the database according to the query item, generating display content and displaying the display content through the display module.
Specifically, for example, the query item includes the time required to be queried and the person required to be queried, and the backtracking module determines that the time required to be queried is a time point or a time period; whether the staff needing to be inquired is a worker is judged, if the staff is the worker and the time point is inquired, the coordinates of the worker at the time point are obtained from the database and are marked in the three-dimensional model of the community; the system is also used for acquiring the time point from the database, and the staff is used as a work order of a processor; and the display module is used for displaying the position of the staff in the community three-dimensional model at the query time point and taking the staff as a work order of the processing person.
If the inquired personnel is non-working personnel and the time point is inquired, acquiring the coordinates of the personnel identified by the monitoring camera from the database, and marking the coordinates in the three-dimensional model of the community; and the display module is used for displaying the positions of non-working personnel in the community three-dimensional model at the query time point.
If the time period is the staff and the time period is inquired, the backtracking module acquires the coordinates of the staff in the time period from the database, marks a moving track formed by the coordinates in a three-dimensional model of the community, and is also used for acquiring the time period from the database, wherein the staff is used as a work order of a processor; the display module is used for displaying the movement track of the staff in the community three-dimensional model in the query time period and the work order of the staff as the processing person. In other embodiments, the dynamic course of the movement of the staff from the beginning to the end of the time period can also be shown in a playing form.
If the time period is not the working personnel and the time period is inquired, the backtracking module acquires the coordinates of the personnel identified by the monitoring camera in the time period from the database, the moving track formed by the coordinates is marked in the three-dimensional model of the community, and the display module is used for displaying the moving track of the non-working personnel in the inquired time period and the three-dimensional model of the community. For example, the xxx owner moves from 8:30 to 21:00 in a moving track of 8:30 to exit, then enters an elevator, arrives at a garage from the elevator, and drives a car from the garage by 8: 40; a 20:00 car is driven through a garage barrier into a garage and then into an elevator to a residential floor, and a 20:20 door is opened into a home. By analyzing the movement track of the owner in a certain time period, the subsequent targeted service provision is facilitated, for example, the elevator is automatically controlled to descend to a garage after the owner drives into the garage next time.
For example, the query item only comprises a query time period, the backtracking module acquires coordinates of all workers and non-workers in the time period from the database, and moving tracks of all the workers and the non-workers are marked in the three-dimensional model of the community; and retrieving from the database all tagged event information generated during the time period. The display module is used for displaying the movement tracks of all workers and non-workers in the community three-dimensional model in the query time period and the marked event information generated in the time period.
For example, the query item only comprises a queried event, the backtracking module acquires corresponding event information from the database, determines the time when the event occurs, and also acquires coordinates of all workers and non-workers at the time and coordinates of the intelligent device corresponding to the queried event, positions of the workers and the non-workers and positions of the model of the intelligent device are marked in the three-dimensional model of the community, and the display module is used for displaying the positions of all the workers and the non-workers in the three-dimensional model of the community, the positions of the model corresponding to the intelligent device and event content corresponding to the queried event at the time. In another embodiment, a monitoring video of the location of the queried event may also be displayed, and in yet another embodiment, the staff and the non-staff may also be displayed in different colors or icons, and if the queried event generates a work order, the staff as the work order handler may be highlighted, for example, the color is displayed in red.
The embodiment also provides a big data analysis method for the community, and the big data analysis system for the community is used when event backtracking is carried out.
Example two
The difference between the present embodiment and the first embodiment is that the system of the present embodiment further includes a pushing module, configured to push the work order to the designated work order handler and record pushing time; the terminal of the staff is also used for recording the time for checking the work order;
the backtracking module is further used for marking a moving track formed by coordinates in a three-dimensional model of the community when the inquired staff is inquired and the time period is inquired, then judging whether the staff has a work order as a processing person in the time period, and if so, in the moving track, based on the pushing time of the work order and the time marking nodes of the work order, the staff checks the work order. In other words, the node for pushing the work order is marked in the track, and the node for the work order is checked. The time spent on actually learning the work order from pushing to the staff can be visually displayed, so that the working enthusiasm of the staff is evaluated and the pushing opportunity is adjusted conveniently in the follow-up process.
The above are merely examples of the present invention, and the present invention is not limited to the field related to this embodiment, and the common general knowledge of the known specific structures and characteristics in the schemes is not described herein too much, and those skilled in the art can know all the common technical knowledge in the technical field before the application date or the priority date, can know all the prior art in this field, and have the ability to apply the conventional experimental means before this date, and those skilled in the art can combine their own ability to perfect and implement the scheme, and some typical known structures or known methods should not become barriers to the implementation of the present invention by those skilled in the art in light of the teaching provided in the present application. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (8)
1. Big data analysis system for communities, characterized by comprising:
the database is used for storing a three-dimensional model of a community and the coordinates of the intelligent equipment; the intelligent equipment comprises environment monitoring equipment and a monitoring camera with a face recognition function;
the information acquisition module is used for receiving the event information of the intelligent equipment and storing the event information into the database; the event information comprises occurrence time and event content;
the personnel positioning module is used for determining personnel coordinates identified by the monitoring camera according to the coordinates of the monitoring camera and storing the personnel coordinates into the database;
the query module is used for receiving query items, wherein the query items comprise one or more of time needing to be queried, events needing to be queried or personnel needing to be queried;
and the backtracking module is used for judging whether the inquired items only contain events needing to be inquired, if so, acquiring corresponding event information from the database, determining the occurrence time, acquiring coordinates of all personnel at the occurrence time from the database, and marking the coordinates in the three-dimensional model of the community.
2. The big data analytics system for communities as claimed in claim 1, wherein: the backtracking module is further used for judging whether the query item only contains the personnel needing to be queried and the time needing to be queried, if so, the time needing to be queried is judged to be a time point or a time period, if so, the coordinates of the queried personnel identified by the time period are obtained from the database, and a moving track formed by the coordinates is marked in a three-dimensional model of the community;
the system also comprises a display module which is used for displaying the movement track of the person inquired in the community three-dimensional model in the inquiry time period.
3. The big data analysis system for communities according to claim 2, wherein: the personnel positioning module is also used for acquiring the coordinates of all the workers from the terminals of all the workers and storing the coordinates into a database;
and after judging that the query item contains the personnel to be queried and the query time, the backtracking module also judges whether the personnel to be queried is a worker, if the personnel to be queried is the worker, the coordinate of the corresponding worker is acquired from the database, and if the personnel to be queried is a non-worker, the coordinate of the corresponding non-worker identified by the monitoring camera is acquired from the database.
4. The big data analysis system for communities according to claim 3, wherein: the three-dimensional model comprises a model of a building and a model of the intelligent device, wherein the coordinates of the intelligent device and the model of the intelligent device have a mapping relation;
the device positioning module is used for acquiring the coordinates of the intelligent device generating the event information from the database;
the backtracking module is further used for marking the position of the intelligent equipment model in the three-dimensional model of the community when the inquired items only contain the events needing to be inquired.
5. The big data analysis system for communities according to claim 4, wherein: further comprising:
the work order generation module is used for acquiring event information of the intelligent equipment, judging whether the event information meets a preset rule or not, if so, marking the event information, and generating a work order based on the marked event information; and storing in a database;
the matching module is used for calculating the distance from the staff to the intelligent equipment according to the coordinates of all the staff and the coordinates of all the intelligent equipment, and associating the staff with the intelligent equipment, wherein the distance is within a preset range; determining the staff nearest to the intelligent equipment according to the coordinates of the intelligent equipment generating the marked event information and the coordinates of the staff related to the intelligent equipment; the worker is designated as the handler for the corresponding work order.
6. The big data analysis system for communities according to claim 5, wherein: the backtracking module is also used for acquiring a work order of a processing person within the query time when the person needing to be queried is judged to be the work person;
the display module is also used for displaying the work order of the worker as a processing person.
7. The big data analysis system for communities according to claim 6, wherein: the environment monitoring equipment comprises a smoke sensor, a temperature sensor and a carbon monoxide detection probe.
8. Big data analysis method for community, characterized in that, when event backtracking is performed, the big data analysis system for community according to any claim 1-7 is used.
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| CN202111651915.5A CN114329106A (en) | 2021-12-30 | 2021-12-30 | Big data analysis system and method for community |
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| CN202111651915.5A CN114329106A (en) | 2021-12-30 | 2021-12-30 | Big data analysis system and method for community |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114148850A (en) * | 2021-12-30 | 2022-03-08 | 重庆天智慧启科技有限公司 | Intelligent elevator management system and method |
| CN115100813A (en) * | 2022-06-07 | 2022-09-23 | 慧之安信息技术股份有限公司 | Intelligent community system based on digital twins |
-
2021
- 2021-12-30 CN CN202111651915.5A patent/CN114329106A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114148850A (en) * | 2021-12-30 | 2022-03-08 | 重庆天智慧启科技有限公司 | Intelligent elevator management system and method |
| CN114148850B (en) * | 2021-12-30 | 2023-05-16 | 重庆天智慧启科技有限公司 | Intelligent elevator management system and method |
| CN115100813A (en) * | 2022-06-07 | 2022-09-23 | 慧之安信息技术股份有限公司 | Intelligent community system based on digital twins |
| CN115100813B (en) * | 2022-06-07 | 2023-02-17 | 慧之安信息技术股份有限公司 | Intelligent community system based on digital twins |
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