CN112102583A - Intelligent building system based on big data - Google Patents
Intelligent building system based on big data Download PDFInfo
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- CN112102583A CN112102583A CN202010667555.7A CN202010667555A CN112102583A CN 112102583 A CN112102583 A CN 112102583A CN 202010667555 A CN202010667555 A CN 202010667555A CN 112102583 A CN112102583 A CN 112102583A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
- G08B19/005—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow combined burglary and fire alarm systems
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- Engineering & Computer Science (AREA)
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Abstract
The invention relates to the technical field of intelligent building systems, and discloses a big data based intelligent building system which comprises an external environment monitoring module, wherein external environment data are monitored through the external environment monitoring module, internal environment data are monitored through the internal environment monitoring module, the internal and external environment data of a building are summarized through an offset regression module, if the difference is not large, the environment data are transmitted to a communication module, if the difference is large, an alarm module is controlled to give an alarm, the alarm timeliness when the environment data are abnormal is ensured, the influence of the external environment of the building on the internal environment of the building can also be prevented from causing false alarm, the environment data information is uploaded to a monitoring host through the communication module, the monitoring host can compare and simulate the environment data of the building with the environment data of typical building fire and the previous fire environment data of the building to predict the fire risk, and if the fire risk exists, controlling an alarm module to give an alarm.
Description
Technical Field
The invention relates to the technical field of intelligent building systems, in particular to an intelligent building system based on big data.
Background
With the development of society and the progress of living standard of people, high-grade building type residences are increased day by day, the management of cells is more and more complicated, and people pay more and more attention to the safety problem of residential environment. Although the property can hire security personnel to patrol the cell, when the manpower is limited, the security personnel cannot patrol each building, certain security dead angles exist, and information of each position in the building cannot be accurately and quickly acquired;
although the existing automatic building monitoring system can also monitor buildings, the problems of poor monitoring strength and the like generally exist, the early warning on information such as environment, suspicious personnel and the like cannot be carried out in advance, some accidents such as fire and theft often occur, the normal life of people is seriously influenced, and certain economic loss is also caused;
for example, Chinese patent publication numbers are: CN104573231B is a wisdom building system and method based on BIM, includes: the data acquisition and storage module is used for acquiring building data, wherein the building data comprises building data and equipment data; the data processing module is used for processing the building data to obtain processed data; and the data output module is used for outputting the processed data and displaying the processed data through a BIM (building information modeling) model. The invention has the following beneficial effects: 1. displaying the building three-dimensional visualization; 2. various information required by building operation and maintenance is highly integrated, and information management automation is realized; 3. the use of the Internet of things ensures the accuracy and timeliness of data and the accurate control of the construction equipment; 4. the concurrent read-write operation of big data is greatly improved by using the non-relational database, and although the building system can show the buildings in a three-dimensional manner and realize the automation of information management, the building system cannot early warn fire and theft in advance and has certain limitation;
based on the above, an intelligent building system based on big data is provided, and the existing technical problem is hopefully solved.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides the intelligent building system based on the big data, which has the advantages of intelligent fire prevention and theft prevention and solves the problem that the building content is easy to cause fire and theft.
(II) technical scheme
In order to realize the purpose of intelligent fire prevention and theft prevention, the invention provides the following technical scheme: a big data based intelligent building system comprises an external environment monitoring module, an internal environment monitoring module, an offset regression module, a video monitoring module, an entrance guard monitoring module, a communication module, a monitoring host, an alarm module, a mobile terminal, a building fire database and a building theft database;
the external environment monitoring module and the internal environment monitoring module are respectively used for monitoring the environment outside the building and the environment inside the building and transmitting the monitored environment information to the offset regression module;
the offset regression module is used for correcting the influence of the building external environment on the building internal environment and transmitting corrected environment data to the communication module;
the video monitoring module is used for monitoring image information of positions such as elevators, channels, corridors and the like in the building in real time and transmitting the image information to the communication module;
the entrance guard monitoring module is used for monitoring and identifying identity information of people entering and exiting the building and transmitting the identity information to the communication module;
the communication module is used for receiving information transmitted by the offset regression module, the video monitoring module and the entrance guard monitoring module and uploading the information to the monitoring host;
the monitoring host is used for processing and analyzing the information uploaded by the communication module;
the mobile terminal is used for receiving the instruction information sent by the monitoring host.
Preferably, the external environment monitoring module comprises a temperature sensor, a humidity sensor and a raindrop sensor, and the temperature sensor, the humidity sensor and the raindrop sensor are all installed outside the building.
Preferably, the internal environment monitoring module comprises a temperature sensor, a smoke sensor and an infrared thermal imaging device, and the temperature sensor, the smoke sensor and the infrared thermal imaging device are installed in the corridors of all floors in the building.
Preferably, the offset regression module comprises an offset regression algorithm, and the offset regression algorithm is: when the difference between the external environment data and the internal environment data is more than fifteen percent, the information is automatically transmitted to the alarm module, and when the difference between the external environment data and the internal environment data is less than fifteen percent, the average value of the external environment data and the internal environment data is taken, and the average value data is transmitted to the communication module.
Preferably, the video monitoring module comprises a group of camera terminals, two groups of camera terminals and three groups of camera terminals, the group of camera terminals are installed in the stairways of each floor in the building, the two groups of camera terminals are installed in the elevators in the building, and the three groups of camera terminals are installed in the stairways of each floor in the building.
Preferably, entrance guard monitoring module includes entrance guard's reader, face identification module and fingerprint module.
Preferably, the monitoring host comprises a data analysis unit, a risk prediction unit, a data storage unit and a human-computer interaction unit.
Preferably, the building fire database and the building theft database are built based on big data technology, the building fire database stores typical building fire environment data and past fire environment data of the building, and the building theft database stores personal data of building residents.
(III) advantageous effects
Compared with the prior art, the invention provides an intelligent building system based on big data, which has the following beneficial effects:
1. this based on big data wisdom building system, through outside environment monitoring module monitoring building outside environment data, through inside environment monitoring module monitoring building inside environment data, the outside environment data gathers inside and outside the building through skew regression module, if the difference is little, then transmit environment data to communication module, if the difference is too big, then direct control alarm module reports to the police, both guaranteed the promptness of reporting to the police when building inside environment data is unusual, also can prevent that building outside environment from causing the influence to building inside environment and lead to the wrong report.
2. This based on big data wisdom building system, environmental data information passes through communication module upload to the monitoring host computer, and the monitoring host computer passes through data analysis unit and risk prediction unit and compares and simulates the environmental data of this building and the typical building environmental data that catches fire in the building database and this building environmental data that catches fire in the past, predicts the risk of catching fire, if there is the risk of catching fire, then controls alarm module and reports to the police.
3. This based on big data wisdom building system, video monitoring module and entrance guard monitoring module monitor business turn over building and the personnel inside the building, compare to the personnel based on building stolen database, whether the testing personnel is this building resident family, have improved the security of building greatly, prevent the emergence of stolen incident.
Drawings
FIG. 1 is a system architecture diagram of the present invention;
FIG. 2 is a schematic flow chart of the offset regression algorithm of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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. 1-2, a big data based intelligent building system comprises an external environment monitoring module, an internal environment monitoring module, an offset regression module, a video monitoring module, an entrance guard monitoring module, a communication module, a monitoring host, an alarm module, a mobile terminal, a building fire database and a building theft database;
the external environment monitoring module and the internal environment monitoring module are respectively used for monitoring the environment outside the building and the environment inside the building and transmitting the monitored environment information to the offset regression module;
the offset regression module is used for correcting the influence of the building external environment on the building internal environment and transmitting corrected environment data to the communication module;
the video monitoring module is used for monitoring image information of positions such as elevators, channels, corridors and the like in the building in real time and transmitting the image information to the communication module;
the entrance guard monitoring module is used for monitoring and identifying the identity information of personnel entering and exiting the building and transmitting the identity information to the communication module;
the communication module is used for receiving the information transmitted by the offset regression module, the video monitoring module and the entrance guard monitoring module and uploading the information to the monitoring host;
the monitoring host is used for processing and analyzing the information uploaded by the communication module;
the mobile terminal is used for receiving the instruction information sent by the monitoring host.
Furthermore, the external environment monitoring module comprises a temperature sensor, a humidity sensor and a raindrop sensor, wherein the temperature sensor, the humidity sensor and the raindrop sensor are all installed outside the building, and the external environment information of the building can be monitored in real time.
Furthermore, the internal environment monitoring module comprises a temperature sensor, a smoke sensor and an infrared thermal imaging device, wherein the temperature sensor, the smoke sensor and the infrared thermal imaging device are installed in the corridor of each floor inside the building, and the internal environment information of the building can be monitored in real time.
Further, the offset regression module comprises an offset regression algorithm, and the offset regression algorithm is as follows: when the difference between the external environment data and the internal environment data is greater than fifteen percent, the information is automatically transmitted to the alarm module, when the difference between the external environment data and the internal environment data is less than fifteen percent, the average value of the external environment data and the internal environment data is taken, and the average value data is transmitted to the communication module, so that the alarm timeliness when the internal environment data of the building is abnormal is ensured, and the influence of the external environment of the building on the internal environment of the building is prevented from causing false alarm.
Furthermore, the video monitoring module comprises a group of camera terminals, two groups of camera terminals and three groups of camera terminals, wherein the group of camera terminals are installed in the corridor of each floor in the building, the two groups of camera terminals are installed in each elevator in the building, and the three groups of camera terminals are installed in each stair in the building, so that the inside of the building is monitored in an all-dimensional mode, and the occurrence of theft events is prevented.
Further, entrance guard monitoring module includes entrance guard's reader, face identification module and fingerprint module, carries out strict management and control to business turn over building personnel, and the testing personnel is this building resident family whether.
Furthermore, the monitoring host comprises a data analysis unit, a risk prediction unit, a data storage unit and a man-machine interaction unit, and can process and calculate environmental data and personnel data based on the building fire database and the building theft database, so that the safety of the building system is greatly improved.
Furthermore, a building fire database and a building theft database are built based on big data technology, typical building fire environment data and past fire environment data of the building are stored in the building fire database, personal data of building residents are stored in the building theft database, comparison is carried out based on big data technology, safety of a building system is further improved, and fire or theft in the building is prevented.
The working principle and the using process of the invention are as follows:
monitoring building external environment data through an external environment monitoring module, monitoring building internal environment data through an internal environment monitoring module, summarizing the building internal and external environment data through an offset regression module, transmitting the environment data to a communication module if the difference is not large, and directly controlling an alarm module to give an alarm if the difference is large, so that the alarm timeliness when the building internal environment data is abnormal is ensured, and false alarm caused by the influence of the building external environment on the building internal environment can be prevented;
the environment data information is uploaded to the monitoring host through the communication module, the monitoring host compares and simulates the environment data of the building with typical building fire environment data in a building fire database and past fire environment data of the building through the data analysis unit and the risk prediction unit to predict the fire risk, and if the fire risk exists, the monitoring host controls the alarm module to give an alarm;
the video monitoring module and the entrance guard monitoring module monitor personnel entering and exiting the building and inside the building, the personnel are compared based on the building theft database, whether the personnel are residents of the building is detected, the safety of the building is greatly improved, and theft events are prevented.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The utility model provides a based on big data wisdom building system which characterized in that: the system comprises an external environment monitoring module, an internal environment monitoring module, an offset regression module, a video monitoring module, an entrance guard monitoring module, a communication module, a monitoring host, an alarm module, a mobile terminal, a building fire database and a building theft database;
the external environment monitoring module and the internal environment monitoring module are respectively used for monitoring the environment outside the building and the environment inside the building and transmitting the monitored environment information to the offset regression module;
the offset regression module is used for correcting the influence of the building external environment on the building internal environment and transmitting corrected environment data to the communication module;
the video monitoring module is used for monitoring image information of positions such as elevators, channels, corridors and the like in the building in real time and transmitting the image information to the communication module;
the entrance guard monitoring module is used for monitoring and identifying identity information of people entering and exiting the building and transmitting the identity information to the communication module;
the communication module is used for receiving information transmitted by the offset regression module, the video monitoring module and the entrance guard monitoring module and uploading the information to the monitoring host;
the monitoring host is used for processing and analyzing the information uploaded by the communication module;
the mobile terminal is used for receiving the instruction information sent by the monitoring host.
2. The big data based intelligent building system as claimed in claim 1, wherein: the external environment monitoring module comprises a temperature sensor, a humidity sensor and a raindrop sensor, wherein the temperature sensor, the humidity sensor and the raindrop sensor are all installed outside the building.
3. The big data based intelligent building system as claimed in claim 1, wherein: the internal environment monitoring module comprises a temperature sensor, a smoke sensor and an infrared thermal imaging device, wherein the temperature sensor, the smoke sensor and the infrared thermal imaging device are installed in the corridor of each floor inside the building.
4. The big data based intelligent building system as claimed in claim 1, wherein: the offset regression module comprises an offset regression algorithm, and the offset regression algorithm is as follows: when the difference between the external environment data and the internal environment data is more than fifteen percent, the information is automatically transmitted to the alarm module, and when the difference between the external environment data and the internal environment data is less than fifteen percent, the average value of the external environment data and the internal environment data is taken, and the average value data is transmitted to the communication module.
5. The big data based intelligent building system as claimed in claim 1, wherein: the video monitoring module comprises a group of camera terminals, two groups of camera terminals and three groups of camera terminals, wherein the group of camera terminals are installed in the stairways of all floors in the building, the two groups of camera terminals are installed in the elevators in the building, and the three groups of camera terminals are installed in the stairways of all floors in the building.
6. The big data based intelligent building system as claimed in claim 1, wherein: entrance guard monitoring module includes entrance guard's reader, face identification module and fingerprint module.
7. The big data based intelligent building system as claimed in claim 1, wherein: the monitoring host comprises a data analysis unit, a risk prediction unit, a data storage unit and a man-machine interaction unit.
8. The big data based intelligent building system as claimed in claim 1, wherein: the building fire database and the building theft database are built based on big data technology, typical building fire environment data and past fire environment data of the building are stored in the building fire database, and personal data of building residents are stored in the building theft database.
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| CN202010667555.7A CN112102583A (en) | 2020-07-13 | 2020-07-13 | Intelligent building system based on big data |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114563038A (en) * | 2022-02-25 | 2022-05-31 | 机械工业仪器仪表综合技术经济研究所 | Intelligent monitoring system and method for cultural relic environment in collection of cultural relics |
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| CN109144019A (en) * | 2018-10-29 | 2019-01-04 | 电子科技大学中山学院 | Based on big data wisdom building monitored control system |
| CN209708277U (en) * | 2019-06-14 | 2019-11-29 | 深圳市铠湾安全技术有限公司 | It is a kind of intelligence fire remotely control alarm |
| CN110910605A (en) * | 2019-10-15 | 2020-03-24 | 合肥科技职业学院 | Security control method for Internet of things |
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2020
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| GB429734A (en) * | 1934-06-09 | 1935-06-05 | Albert Simpere | A combined fire and burglary or like alarm system |
| CN104658157A (en) * | 2013-11-18 | 2015-05-27 | 西安奥赛福科技有限公司 | Fire detection system used for train |
| CN107154585A (en) * | 2017-06-01 | 2017-09-12 | 四川亚润科技有限公司 | A kind of terminal box equipment based on Temperature Humidity Sensor early warning technology |
| CN109144019A (en) * | 2018-10-29 | 2019-01-04 | 电子科技大学中山学院 | Based on big data wisdom building monitored control system |
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| CN114563038A (en) * | 2022-02-25 | 2022-05-31 | 机械工业仪器仪表综合技术经济研究所 | Intelligent monitoring system and method for cultural relic environment in collection of cultural relics |
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Application publication date: 20201218 |